1,127 results on '"Petre, A."'
Search Results
2. Design of High-Dimensional Grassmannian Frames via Block Minorization Maximization
- Author
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Petre Stoica, Prabhu Babu, and R. Jyothi
- Subjects
Optimization problem ,Linear programming ,Iterative method ,Computer science ,Modeling and Simulation ,Grassmannian ,Convergence (routing) ,Approximation algorithm ,Minification ,Electrical and Electronic Engineering ,Minimax ,Algorithm ,Computer Science Applications - Abstract
In this letter, we present an iterative algorithm for constructing high-dimensional incoherent Grassmannian Frames (GFs) which are sets of unit-norm vectors that are minimax optimal: the maximum absolute value of their inner products is a minimum. We formulate the GF design as a nonconvex optimization problem and solve it via an efficient iterative algorithm. The bulk of each iteration of the proposed algorithm is a Linear Program (LP) for which there are a host of efficient solvers. The proposed algorithm is based on the theoretically sound Minorization Maximization technique which, unlike some of the state-of-the-art design approaches, monotonically minimizes the design criterion and can construct GFs with low coherence values.
- Published
- 2021
3. Modeling the dynamics of a real biological system
- Author
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I.O. Lixandru-Petre
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Immune system ,Risk analysis (engineering) ,Computer science ,Dynamics (mechanics) ,Stability (learning theory) ,Global problem ,System dynamics ,Infectious agent ,Delay time - Abstract
Infectious cells are and will continue to be a global problem, regarding the alteration of the health of individuals, the motivation for choosing this topic being the major implication the infectious cells has within the public health system and the way it acts, managing to successfully overcome barriers which the body raises to maintain cellular stability. The article brings new contributions related to the topic of dynamic modeling the immunity system, by determining a mathematical model of the interaction between the cells of the immune system and the cells of the infectious agent. Different types of behaviors are presented taking into account the entry of viral particles into the target cells, behaviors of the model without delay time, followed by time predictions for the delay time model. Finally, we compared the models and concluded that the delay time model is much more realistic, through the oscillations and fluctuations in the three components in the primary stages of infection.
- Published
- 2021
4. A Multicriteria Framework for Cloud Service Providers Selection Based on the Matter Element Extension Method
- Author
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Marius Radulescu, Radu Boncea, Constanţa Zoie Radulescu, Ionut Petre, Mihail Dumitrache, and Ionut-Eugen Sandu
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Matter element ,General Computer Science ,Operations research ,Computer science ,Extension method ,Electrical and Electronic Engineering ,Cloud service provider ,Selection (genetic algorithm) - Published
- 2021
5. All the News That’s Fit to Click : How Metrics Are Transforming the Work of Journalists
- Author
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PETRE, CAITLIN and PETRE, CAITLIN
- Published
- 2021
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6. Data-Driven Editorial? Considerations for Working With Audience Metrics
- Author
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Caitlin Petre
- Subjects
Computer science ,Data science ,Data-driven - Abstract
Drawing on Caitlin Petre’s ethnographic study of Chartbeat, Gawker Media and The New York Times, this chapter explores the role of metrics in contemporary news production and offers recommendations to newsrooms incorporating metrics into editorial practice.
- Published
- 2021
7. Pelvis mobility control solutions for gait rehabilitation systems: a review
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Ileana Ciobanu, Mihai Berteanu, Petre Lucian Seiciu, and Doina Ioana Badea
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medicine.medical_specialty ,medicine.anatomical_structure ,Mobility control ,Physical medicine and rehabilitation ,Rehabilitation ,Gait (human) ,Computer science ,medicine.medical_treatment ,medicine ,Pelvis - Published
- 2021
8. Micro Grid Operation Mode With Different MPPT Controller
- Author
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Ihsan Mizher Baht, Farah Fahem Al Sarhan, Nameer Bahat, and Petre-Marian Nicolae
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micro grid ,Information Systems and Management ,lcsh:T ,Computer science ,Strategy and Management ,Mppt controller ,Micro grid ,renewable energy ,lcsh:Technology ,Education ,matlab ,Operation mode ,Control theory ,mppt ,Management of Technology and Innovation ,Computer Science (miscellaneous) ,lcsh:L ,lcsh:Education ,Information Systems - Abstract
The extent to which current is minimized helps in ensuring that the island to grid-connected mode transition is effectively controlled. This applies not only in the short-term but also in the long-term. This is also useful because it helps in maintaining the required level of flexibility as far as the framework of controlling island to grid-connected mode transition is concerned. The integration of interconnectors can also be useful with regard to control of island to gridconnected mode transition. This is because interconnectors can help in identification of shortcomings and existing gaps as far as the framework of island to grid-connected mode transition is concerned. A major reason why the use of interconnectors can help in controlling the island to grid-connected mode transition is that they facilitate continuous monitoring of the grid. This implies that the relevant changes can be identified and incorporated into the island to grid-connected mode transition, in this paper also comparative between two type of the algorithm control MPPT based on the fixed irradiance and temperature.
- Published
- 2021
9. Parallel Optimization of Program Instructions Using Genetic Algorithms
- Author
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Petre Anghelescu
- Subjects
Biomaterials ,Mechanics of Materials ,Computer science ,Modeling and Simulation ,Parallel optimization ,Parallel computing ,Electrical and Electronic Engineering ,Computer Science Applications - Published
- 2021
10. NetControl4BioMed: a web-based platform for controllability analysis of protein–protein interaction networks
- Author
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Eduard Mititelu, Ion Petre, Negin Majidi, Diana Ion, Andrei Andronescu, Eugen Czeizler, Alexandru Nedea, Victor-Bogdan Popescu, Jose Angel Sanchez-Martinez, Sadra Safadoust, and Daniela Schacherer
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Statistics and Probability ,Source code ,AcademicSubjects/SCI01060 ,Computer science ,media_common.quotation_subject ,HUGO Gene Nomenclature Committee ,computer.software_genre ,Biochemistry ,03 medical and health sciences ,Upload ,0302 clinical medicine ,Interaction network ,Web application ,Molecular Biology ,030304 developmental biology ,media_common ,0303 health sciences ,business.industry ,Systems Biology ,Applications Notes ,Network controllability ,Computer Science Applications ,Computational Mathematics ,Computational Theory and Mathematics ,Data mining ,UniProt ,business ,DrugBank ,computer ,030217 neurology & neurosurgery - Abstract
Motivation There is an increasing amount of data coming from genome-wide studies identifying disease-specific survivability-essential proteins and host factors critical to a cell becoming infected. Targeting such proteins has a strong potential for targeted, precision therapies. Typically however, too few of them are drug targetable. An alternative approach is to influence them through drug targetable proteins upstream of them. Structural target network controllability is a suitable solution to this problem. It aims to discover suitable source nodes (e.g. drug targetable proteins) in a directed interaction network that can control (through a suitable set of input functions) a desired set of targets. Results We introduce NetControl4BioMed, a free open-source web-based application that allows users to generate or upload directed protein–protein interaction networks and to perform target structural network controllability analyses on them. The analyses can be customized to focus the search on drug targetable source nodes, thus providing drug therapeutic suggestions. The application integrates protein data from HGNC, Ensemble, UniProt, NCBI and InnateDB, directed interaction data from InnateDB, Omnipath and SIGNOR, cell-line data from COLT and DepMap, and drug–target data from DrugBank. Availabilityand implementation The application and data are available online at https://netcontrol.combio.org/. The source code is available at https://github.com/Vilksar/NetControl4BioMed under an MIT license.
- Published
- 2021
11. Behavioral Science of Software Engineering
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Margaret-Anne Storey, Marian Petre, Thomas Zimmermann, Jim Buckley, and Luke Church
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Knowledge management ,business.industry ,Computer science ,media_common.quotation_subject ,Software development ,Behavioural sciences ,020207 software engineering ,02 engineering and technology ,Creativity ,Ingenuity ,0202 electrical engineering, electronic engineering, information engineering ,Quality (business) ,Software system ,business ,Software ,media_common - Abstract
Large-scale software development is a sociotechnical activity only bounded by human imagination, ingenuity, and creativity. It involves teams of developers progressing by coordinating their activities and communicating their bottlenecks, goals, and advancements toward the wider goal of creating large, high-quality software systems. The stakeholders they serve are diverse (for example, clients, infrastructure providers, open source communities, project managers, and regulatory authorities), and often they have many competing, implicit requirements. But, as the political and legal implications of algorithms and data (https://harvardmagazine.com/2000/01/code-is-law-html) increasingly affect society, it is imperative that the systems the developers build are high quality in terms of accurately embodying all of those requirements.
- Published
- 2020
12. Network controllability solutions for computational drug repurposing using genetic algorithms
- Author
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Eugen Czeizler, Victor-Bogdan Popescu, Iulian Nastac, Krishna Kanhaiya, and Ion Petre
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Prescription Drugs ,Computer science ,Science ,Distributed computing ,Antineoplastic Agents ,Breast Neoplasms ,Article ,Control theory ,Humans ,Gene Regulatory Networks ,Molecular Targeted Therapy ,Protein Interaction Maps ,Ovarian Neoplasms ,Multidisciplinary ,Network topology ,Drug Repositioning ,Computational Biology ,Network controllability ,Neoplasm Proteins ,Gene Expression Regulation, Neoplastic ,Pancreatic Neoplasms ,Drug repositioning ,ComputingMethodologies_PATTERNRECOGNITION ,Combination drug therapy ,Oncology ,Medicine ,Female ,Algorithms - Abstract
Control theory has seen recently impactful applications in network science, especially in connections with applications in network medicine. A key topic of research is that of finding minimal external interventions that offer control over the dynamics of a given network, a problem known as network controllability. We propose in this article a new solution for this problem based on genetic algorithms. We tailor our solution for applications in computational drug repurposing, seeking to maximize its use of FDA-approved drug targets in a given disease-specific protein-protein interaction network. We show how our algorithm identifies a number of potentially efficient drugs for breast, ovarian, and pancreatic cancer. We demonstrate our algorithm on several benchmark networks from cancer medicine, social networks, electronic circuits, and several random networks with their edges distributed according to the Erdös-Rényi, the scale-free, and the small world properties. Overall, we show that our new algorithm is more efficient in identifying relevant drug targets in a disease network, advancing the computational solutions needed for new therapeutic and drug repurposing approaches.
- Published
- 2022
13. Network Controllability Analysis of Three Multiple-myeloma Patient Genetic Mutation Datasets
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José Ángel Sánchez Martín and Ion Petre
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Algebra and Number Theory ,Computational Theory and Mathematics ,Computer science ,medicine ,Computational biology ,medicine.disease ,Network controllability ,Multiple myeloma ,Information Systems ,Theoretical Computer Science - Abstract
Network controllability focuses on the concept of driving the dynamical system associated to a directed network of interactions from an arbitrary initial state to an arbitrary final state, through a well-chosen set of input functions applied in a minimal number of so-called input nodes. In earlier studies we and other groups demonstrated the potential of applying this concept in medicine. A directed network of interactions may be built around the main known drivers of the disease being studied, and then analysed to identify combinations of drug targets controlling survivability-essential genes in the network. This paper takes the next step and focuses on patient data. We demonstrate that comprehensive protein-protein interaction networks can be built around patient genetic data, and that network controllability can be used to identify possible personalised drug combinations. We discuss the algorithmic methods that can be used to construct and analyse these networks.
- Published
- 2020
14. Automatic Thresholding Technique Using Reconfigurable Hardware
- Author
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Petre Anghelescu
- Subjects
0209 industrial biotechnology ,Computer science ,business.industry ,02 engineering and technology ,Thresholding ,Edge detection ,Reconfigurable computing ,Image (mathematics) ,Otsu's method ,symbols.namesake ,020901 industrial engineering & automation ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,symbols ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,Field-programmable gate array ,business ,Software ,Information Systems - Abstract
This research presents an efficient automatic thresholding technique based on Otsu’s method that can be used in edge detection algorithms and then applied as a plug-in for real-time image processin...
- Published
- 2020
15. Performance Analysis of Micro-Grid Based On Measurement and Processing Different Electrical Quantities
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Ihsan Mizher Baht, Petre-Marian Nicolae, and Nameer Bahat
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micro grid ,Information Systems and Management ,Computer science ,lcsh:T ,Strategy and Management ,Micro grid ,Mechanical engineering ,renewable energy ,lcsh:Technology ,Education ,matlab ,Management of Technology and Innovation ,Computer Science (miscellaneous) ,lcsh:L ,control power flow ,Information Systems ,lcsh:Education - Abstract
To change the electrical power system from conventional system or existing system to micro grid one needs to check the performance of this system and analyze all parameters. Actually the power grid consists of three essentials parts that are generation, transmutation line and distributions system. Among all parts feeders, transformers and some of electronics parts are to improve the voltage drop or decrease the active power losses and interfaces between two systems. The main advantage of the micro grid is integration of the renewable energy recourses into the power grid through transmutation line or distribution system, but before integration one needs to check and evaluate all parameters of the system (cable, transformers, load flow, losses, etc.). and find out how to improve them . This paper consists of three parts: the first part is introduction about important parameters in the power grid, the Second part analyzes system from IEC standers by using MATLAB software and discuss on the result of these systems. as well as it involves an idea of how to improve it by using the Newton Raphson method. The third part is about power quality analysis and effect of the harmonics on the current and voltage wave form.
- Published
- 2020
16. Automatic black and white image colorization using generative adversarial networks
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Stefan Trausan-Matu and Cosmin-Gheorghe Petre
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Adversarial system ,White (horse) ,Image colorization ,business.industry ,Computer science ,Pattern recognition ,Artificial intelligence ,business ,Generative grammar - Published
- 2020
17. Analysis of Green Building Effect on Micro grid Based on Potential Energy Savings and BIM
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Ihsan Mizher Baht, Petre Marian Nicolae, Nameer Mezher Baht, and Ileana Diana
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Physics and Astronomy (miscellaneous) ,Computer science ,Management of Technology and Innovation ,Micro grid ,Green building ,Engineering (miscellaneous) ,Potential energy ,Automotive engineering - Published
- 2020
18. Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing
- Author
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Petre Stoica, Jonathan Tuck, and Bo Tang
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Signal Processing (eess.SP) ,Signal processing ,Computer science ,MIMO ,020206 networking & telecommunications ,02 engineering and technology ,law.invention ,Space-time adaptive processing ,Optimization and Control (math.OC) ,law ,Signal Processing ,FOS: Electrical engineering, electronic engineering, information engineering ,FOS: Mathematics ,0202 electrical engineering, electronic engineering, information engineering ,Polyphase system ,Waveform ,Relaxation (approximation) ,Electrical Engineering and Systems Science - Signal Processing ,Electrical and Electronic Engineering ,Radar ,Mathematics - Optimization and Control ,Algorithm - Abstract
We consider the design of polyphase waveforms for ground moving target detection with airborne multiple-input-multiple-output (MIMO) radar. Due to the constant-modulus and finite-alphabet constraint on the waveforms, the associated design problem is non-convex and in general NP-hard. To tackle this problem, we develop an efficient algorithm based on relaxation and cyclic optimization. Moreover, we exploit a reparameterization trick to avoid the significant computational burden and memory requirement brought about by relaxation. We prove that the objective values during the iterations are guaranteed to converge. Finally, we provide an effective randomization approach to obtain polyphase waveforms from the relaxed solution at convergence. Numerical examples show the effectiveness of the proposed algorithm for designing polyphase waveforms.
- Published
- 2020
19. Hardware structure for an INS/GPS integrated navigator
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Petre Negrea, Vlad Aurelian Vaduvescu, Costinel Laurentiu Corcau, and Teodor Lucian Grigorie
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ins ,hardware structure ,gps ,business.industry ,Computer science ,lcsh:Motor vehicles. Aeronautics. Astronautics ,Hardware structure ,Aerospace Engineering ,integrated navigation ,Control and Systems Engineering ,Global Positioning System ,mems-imu ,lcsh:TL1-4050 ,business ,Computer hardware - Abstract
The paper exposes the design, experimental development and testing of a hardware structure that integrates the two widely used concepts in air navigation, INS and GPS. Its detection components are an inertial module and a satellite positioning module, the data provided by them being fused with a microcontroller. The satellite positioning module is a UBLOX NEO-6M, while the inertial module, which is in fact an inertial measurement unit, includes three analogue miniaturized inertial sensors: two bi-axial analogue gyros, LPY510AL and LPR510AL, and a three-axial analogue accelerometer, MMA7361L. Since it was desired the development of the navigation application in Matlab-Simulink, to integrate the two modules it was chosen a dsPIC33EP512MU810 microcontroller, which is found in the MPLAB Device Blocks for Simulink library's microcontroller list. The first tests were performed in the laboratory conditions, with the system in various fixed positions, while the dynamic testing of the system was carried out by boarding it on a testing car, which played also the role of monitored vehicle. Simultaneously with the acquisition of experimental data, a real-time monitoring of the vehicle was made by placing its position on a map.
- Published
- 2019
20. Forecasting Financial Networks
- Author
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Petre Caraiani
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050208 finance ,Series (mathematics) ,Financial networks ,Computer science ,0502 economics and business ,05 social sciences ,Economics, Econometrics and Finance (miscellaneous) ,Econometrics ,050207 economics ,Indirect approach ,Physics::Atmospheric and Oceanic Physics ,Computer Science Applications - Abstract
This paper proposes a methodology to forecast financial networks. The paper uses an indirect approach in which the networks are predicted based on the time series they are built on. Traditional time series models are used to predict the underlying time series, while the forecasts are evaluated based on the structural properties of the forecasted networks.
- Published
- 2019
21. EFFECTIVE ADAPTATION IN THE FIRST YEARS OF TEACHING: MIXT RESEARCH DESIGN APPROACH
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Eliza Mihaela Spătărelu, Ramona Simona Kiru, Laura Maftei, and Gianina Estera Petre
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Research design ,Process management ,Computer science ,Adaptation (computer science) - Published
- 2021
22. Harmonic Decomposition and Power Quality Analysis of a Six-Phase Induction Motor Traction Drive with Fast Fourier Transform
- Author
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Marcel Burduniuc, Vadim Cazac, Ilie Nuca, Iurie Nuca, Dusan Kostic, and Petre-Marian Nicolae
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Harmonic analysis ,Control theory ,Computer science ,Harmonics ,Distortion ,Fast Fourier transform ,Harmonic ,Electromagnetic compatibility ,Induction motor ,Power (physics) - Abstract
This paper presents an analysis of harmonic decomposition and power quality analysis of a six-phase asynchronous motor drive model designed for traction systems, by the Fast Fourier Transform tool. The six-phase asynchronous motor is fed by a Voltage Source Inverter. The goal is to determine whether the proposed 6-phase traction system is viable to prototype and test from the standpoint of power quality and electromagnetic compatibility. The resulting power quality distortion by harmonics suggest that the proposed traction system generates acceptable distortions, through but for which the accepted FFT analysis, in the IEEE Standards 1459-2010 and 519-2014, is not an efficient tool for analysis of highly dynamic traction systems. For a good representation of power distortions, a different standard should be developed and employed
- Published
- 2021
23. Enhancing the Power Grid Performance by Integrating Wind Turbines Systems
- Author
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Ihsan Mizher Baht, Petre Marian Nicolae, and Ileana-Diana Nicolae
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Electronic speed control ,Wind power ,business.industry ,Computer science ,Interface (computing) ,Electric generator ,Grid ,Automotive engineering ,law.invention ,Power (physics) ,law ,business ,Voltage ,Power control - Abstract
The wind power generating systems integrated in Baghdad area are presented. The power control factors are discussed. The speed control factors are presented, correlated to electric generators types. A small grid prototype in the city of Baghdad, with a voltage of 11 kV, was selected. The system of wind turbines consists of five turbines, each of them having a power of up to 1 MW. The system performances were analyzed with Forward-Backward power flow method. The integration of renewable resources into grid system was analyzed considering two cases: without and with an electronic device interface (back to back converter). The voltage profile improvement and power losses decreasing when the wind turbines system is integrated into the grid through electronic controller system are presented as conclusions.
- Published
- 2021
24. Studies regarding the Use of Pneumatic Muscles in Precise Positioning Systems
- Author
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Ioana Mădălina Petre
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Technology ,Computer science ,QH301-705.5 ,Quantitative Biology::Tissues and Organs ,QC1-999 ,Pressure regulator ,Control theory ,General Materials Science ,Biology (General) ,Instrumentation ,Contraction (operator theory) ,Contraction ratio ,QD1-999 ,Fluid Flow and Transfer Processes ,Pneumatic actuator ,Pressure control ,Process Chemistry and Technology ,Physics ,General Engineering ,Programmable logic controller ,positioning systems ,Engineering (General). Civil engineering (General) ,Computer Science Applications ,Nonlinear system ,Chemistry ,Hysteresis (economics) ,hysteresis ,axial contraction ,pneumatic muscle ,TA1-2040 - Abstract
The paper presents the methods and results of an experimental study that highlights the behavior of a pneumatic actuator under different pressures and with different loads applied. One important challenge that occurs in the application of pneumatic muscles is the phenomenon of hysteresis, which causes a nonlinear relationship between the input–output values. The aim of this study is to identify the occurrence of hysteresis in the operation of a small pneumatic muscle in different conditions. Thus, different loads are attached to the free end of a pneumatic muscle and different successive pressures are applied in order to examine the hysteresis of the contraction ratio when the muscle is inflated and then deflated. The obtained equations that describe the relationship between the input pressure and the axial contraction are significant for reaching a high-performance position control. In this regard, the article proposes a solution to increase positioning accuracy based on pressure control using a proportional pressure regulator and a programmable logic controller.
- Published
- 2021
25. The Case for Adaptive Security Interventions
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Mark Levine, Irum Rauf, Bashar Nuseibeh, John N. Towse, Awais Rashid, Helen Sharp, Thein Than Tun, Dirk van der Linden, Paul Lunn, Tamara Lopez, and Marian Petre
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Social psychology (sociology) ,Knowledge management ,G500 ,business.industry ,Computer science ,G400 ,media_common.quotation_subject ,Psychological intervention ,G900 ,Usability ,social psychology ,Space (commercial competition) ,security decisions ,cognitive psychology ,security goals ,Order (exchange) ,Software security assurance ,developers ,adaptive software engineering ,business ,Sophistication ,Security interventions ,Software ,Secure coding ,media_common - Abstract
Despite the availability of various methods and tools to facilitate secure coding, developers continue to write code that contains common vulnerabilities. It is important to understand why technological advances do not sufficiently facilitate developers in writing secure code. To widen our understanding of developers' behaviour, we considered the complexity of the security decision space of developers using theory from cognitive and social psychology. Our interdisciplinary study reported in this article (1) draws on the psychology literature to provide conceptual underpinnings for three categories of impediments to achieving security goals, (2) reports on an in-depth meta-analysis of existing software security literature that identified a catalogue of factors that influence developers' security decisions, and (3) characterises the landscape of existing security interventions that are available to the developer during coding and identifies gaps. Collectively, these show that different forms of impediments to achieving security goals arise from different contributing factors. Interventions will be more effective where they reflect psychological factors more sensitively and marry technical sophistication, psychological frameworks, and usability. Our analysis suggests “adaptive security interventions” as a solution that responds to the changing security needs of individual developers and a present a proof-of-concept tool to substantiate our suggestion.
- Published
- 2021
26. About the Distorting Regime Induced by an Electronic Induction Heating System
- Author
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Petre-Marian Nicolae, Ileana Diana Nicolae, Lucian Cristian Scarlatescu, Adrian Hurezeanu, and Iurie Nuca
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Harmonic analysis ,Total harmonic distortion ,Heating system ,Induction heating ,Computer science ,Harmonics ,Electronic engineering ,Electromagnetic compatibility ,Harmonic ,Schematic ,Total harmonic distortion , Power quality , Prototypes , Harmonic analysis , Electromagnetic compatibility , Wavelet analysis , Discrete wavelet transforms ,7. Clean energy - Abstract
The paper deals with the operational principles, schematic diagrams, and implementation of an electronic induction heating system prototype. The system has 2 operational modes: power saving and normal. Data relative to 3-phase currents and voltages were acquired from the heating system terminals and analyzed with original software packages relying on Fast Fourier Transform and Discrete Wavelet Transform. A good convergence of results representing power quality indices was obtained. It was proven that the current total harmonic distortions were higher for the power saving mode, with a large spectrum of harmonics and both operational modes have unacceptably high values comparing to standards for power quality and electromagnetic compatibility. It is concluded that measures for protecting the supply network are necessary to improve power quality and electromagnetic interferences of the analyzed system.
- Published
- 2021
27. Evaluation of Overvoltages Transmitted in High Power Transformer Windings at Lightning During the Design Stage
- Author
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Petre-Marian Nicolae, Maria Cristina Nitu, and Marian-Stefan Nicolae
- Subjects
business.industry ,Computer science ,Electrical engineering ,Impulse (physics) ,Lightning ,Time–frequency analysis ,Electromagnetic coil ,Waveform ,business ,MATLAB ,computer ,computer.programming_language ,Voltage ,Transformer (machine learning model) - Abstract
This paper presents a calculation method for voltage transmitted between the windings of the transformer while it is being subjected to the lightning impulse; it describes the reasoning and analytical relations for the predetermination of the transmitted voltage. The modeling of the phenomenon of transmitting voltage between the transformer windings was realized by using MATLAB, in order to make the calculation more efficient and to illustrate the corresponding waveforms of the transmitted voltage determined by calculation. The study was conducted on a 54/73 MVA, TTUS-ONAN, 110/15/6.6 kV transformer, and the results achieved by calculation have been validated through experimental tests.
- Published
- 2021
28. Mobile 5P-Medicine Approach for Cardiovascular Patients
- Author
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Juliana Sá, Eftim Zdravevski, Jose Morgado, Ivan Miguel Pires, Petre Lameski, Hanna Vitaliyivna Denysyuk, Nuno M. Garcia, Ivan Chorbev, María Vanessa Villasana, and Vladimir Trajkovik
- Subjects
Computer science ,digital health ,Active engagement ,Wearable computer ,TP1-1185 ,patient empowerment technologies ,Biochemistry ,Analytical Chemistry ,Study Protocol ,Wearable Electronic Devices ,Human–computer interaction ,Artificial Intelligence ,Humans ,Electrical and Electronic Engineering ,Instrumentation ,Wearable technology ,Health professionals ,business.industry ,Chemical technology ,Continuous monitoring ,Extreme events ,Digital health ,Atomic and Molecular Physics, and Optics ,mobile bio-sensing for medicine ,cardiovascular diseases ,5P-Medicine ,Healthcare process ,Quality of Life ,Smartphone ,business ,Delivery of Health Care - Abstract
Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a powerful tool for a new medicine approach for these patients. Our proposed system, described in this article, aims to develop innovative solutions based on artificial intelligence techniques to empower patients with cardiovascular disease. These solutions will realize a novel 5P (Predictive, Preventive, Participatory, Personalized, and Precision) medicine approach by providing patients with personalized plans for treatment and increasing their ability for self-monitoring. Such capabilities will be derived by learning algorithms from physiological data and behavioral information, collected using wearables and smart devices worn by patients with health conditions. Further, developing an innovative system of smart algorithms will also focus on providing monitoring techniques, predicting extreme events, generating alarms with varying health parameters, and offering opportunities to maintain active engagement of patients in the healthcare process by promoting the adoption of healthy behaviors and well-being outcomes. The multiple features of this future system will increase the quality of life for cardiovascular diseases patients and provide seamless contact with a healthcare professional.
- Published
- 2021
29. Impact of PV Cells and MPPT Controller on Power System Dynamics
- Author
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Ihsan Mizher Baht, Nameer Mezher Baht, Petre-Marian Nicolae, and Farah Fahem Al Sarhan
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Computer science ,business.industry ,Distribution transformer ,Grid ,Maximum power point tracking ,Reliability engineering ,law.invention ,Renewable energy ,Electric power system ,law ,Voltage droop ,Transformer ,business ,Low voltage - Abstract
In this paper present the integrations of the renewable energy recourses in to grid, PV cells operation in the case of island mode and grid mode with droop control method, the second parts MPPT techniques with the control circuits and the output comparers. Multiple distribution transformers constitute another important component of low voltage networks. Search transformers are essential because of the helping sustenance and flow of energy as well as current. Frequent evaluation of the multiple distribution transformers is vitally important because it helps in ensuring that existing challenges and gaps are effectively identified and resolved on time. This is also essential in terms of maintaining a high level of consistency within the framework of performance and output of the entire system. Based on these attributes, it is therefore evident that they are many requirements that characterize low voltage network systems. It is vitally important to ensure that each of these considerations has prioritized and factored into the framework of decision making in order to facilitate for the flow of energy.
- Published
- 2021
30. Overvoltages Induced in the Supplying Line by an Electric Railway Vehicle
- Author
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Ileana-Diana Nicolae, Petre Marian Nicolae, Marian Stefan Nicolae, and Alexandru Netoiu
- Subjects
Electric power system ,Computer science ,Traction substation ,law ,Harmonics ,Single-phase electric power ,Transformer ,Line (electrical engineering) ,Automotive engineering ,law.invention ,Voltage ,Traction motor - Abstract
The paper focuses on a railway traction system. A railway vehicle, driven by a.c. three-phase asynchronous motors supplied through inverters from a single phase transformer, is connected to it. A brief description of the single phase a.c. (50 Hz, 25 kV) driving system is provided. The traction substation consists in down step voltage transformers supplied from the power system. The single phase traction system, when connected to the three-phase supplying system, introduces non-symmetries and current harmonics. A 50 km line segment from a simple supplying line was considered for simulation of overvoltages at current harmonics. A correct design of the railway vehicle driving system must meet the requirements imposed by the standard EN 50388 relative to its connection to the supplying line. Practical validation concerning overvoltages is discussed.
- Published
- 2021
31. Using Time-Efficient Wavelet Packet Transform Decompositions to Analyze EMC Issues in Transportation Systems
- Author
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Kostic Dusan, Radu-Florin Marinescu, Petre Marian Nicolae, and Ileana-Diana Nicolae
- Subjects
Set (abstract data type) ,Tree (data structure) ,Wavelet ,Computer science ,Harmonic ,MATLAB ,computer ,Algorithm ,Synthetic data ,Time–frequency analysis ,Wavelet packet decomposition ,computer.programming_language - Abstract
The paper deals with the design, test and usability of an optimized time-efficient decomposition relying on the wavelet packet transform (WPT) when used to analyze EMC interferences. Firstly, one describes the mathematical support and implementation aspects relative to deducing cutoff frequencies from the harmonic range 40…100 that can be used to separate and analyze components of high frequencies (depending on different accepted accuracies), when using an original WPT tree, denoted by T7. An original technique was conceived in order to generate flags (0/1) associated with the terminal nodes of T7 such as to reduce the number of decompositions required for their computation. Based on them, labels with 4 values were deduced for the nodes in the upper levels of T7, in the same idea of runtime saving. Simulations on synthetic data proved runtime savings of around 67.5% for both decomposition and re-composition of T7. The technique accuracy was tested by comparing the results of „low-pass" filtering with those yielded by the Matlab toolkit used for denoising and respectively with those obtained without the labeling technique. The set of cut-off frequencies available for filtering with T7 proved to be significantly larger than that provided by the Matlab toolkit. After the successful validation stage, the method was applied on 2 real datasets acquired from the terminals of an auxiliary converter from a locomotive.
- Published
- 2021
32. Improved C-Language Implementation of AES Algorithm for WSN
- Author
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Petre-Daniel Matasaru, Andreea-Elena Birladeanu, and Luminita Scripcariu
- Subjects
business.industry ,Computer science ,Plain text ,Advanced Encryption Standard ,computer.file_format ,Information security ,Encryption ,Dual (category theory) ,Sensor node ,Arduino ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,business ,computer ,Algorithm ,Wireless sensor network - Abstract
Various IoT applications use wireless sensor networks (WSN) that require secured communication links in order to avoid cyberattacks. WSN interconnects numerous sensors that acquire specific parameters for different applications such as environment monitoring, health supervising, perimeter security and safety and so on. The sensor node can encrypt data onboard in order to ensure information security. Every sensor node has limited resources and processing capacity. AES is a very powerful encryption algorithm that can use private encryption keys of 128, 192 or 256 bits. For WSN, Arduino is a good option to implement a sensor node with temperature, relative humidity, pressure, light, air quality and/or gas sensors. The sensors acquire the environmental parameter values. Then, they sent them by the communication link to a central node, in order to store and analyze them. It is important to send information encrypted not as a plain text, by the mean of an encryption algorithm. We choose to implement Advanced Encryption Standard (AES) in C programming language, with various improvements of the algorithm itself. The program runs on a dual Arduino Due-based system with multiple sensors for environmental monitoring.
- Published
- 2021
33. Real-time sorting system for the Construction and Demolition Waste materials
- Author
-
Andrei Scheianu, Ioana Petre, Sabina Bosoc, and George Suciu
- Subjects
Demolition waste ,Computer science ,Robot vision systems ,Sorting ,Architecture ,Robotic arm ,Reflectivity ,Construction engineering - Abstract
Construction and Demolition Waste (CDW) represents more than a third of all the generated waste in Europe. Taken into consideration the amount of waste coming from CDW, together with the inadequate management leads to critical tasks for economy, society and environment. Due to the fact that constructions are in continuous building, it is fundamental to investigate the CDW status and to develop new innovative ideas to tackle this issue. The aim of this research is to introduce a new idea and architecture of an intelligent sorting system describing a robotic arm and a classification algorithm based on the information coming from hyperspectral cameras and reflectance sensors, that in the future will be capable to achieve a complete separation of the coarse fractions of CDW materials and obtain sorted classes of aggregates bricks, ceramics, glass, plastics, and wood.
- Published
- 2021
34. A locked mode indicator for disruption prediction on JET and ASDEX upgrade
- Author
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Sias, G., Cannas, B., Fanni, A., Murari, A., Pau, A., Kallenbach, A., Aguiam, D., Aho-Mantila, L., Angioni, C., Arden, N., Arredondo Parra, R., Asunta, O., de Baar, M., Balden, M., Behler, K., Bergmann, A., Bernardo, J., Bernert, M., Beurskens, M., Biancalani, A., Bilato, R., Birkenmeier, G., Bobkov, V., Bock, A., Bogomolov, A., Bolzonella, T., Boeswirth, B., Bottereau, C., Bottino, A., van den Brand, H., Brezinsek, S., Brida, D., Brochard, F., Bruhn, C., Buchanan, J., Buhler, A., Burckhart, A., Cambon-Silva, D., Camenen, Y., Carvalho, P., Carrasco, G., Cazzaniga, C., Carr, M., Carralero, D., Casali, L., Castaldo, C., Cavedon, M., Challis, C., Chankin, A., Chapman, I., Clairet, F., Classen, I., Coda, S., Coelho, R., Coenen, J. W., Colas, L., Conway, G., Costea, S., Coster, D. P., Croci, G., Cseh, G., Czarnecka, A., D'Arcangelo, O., Day, C., Delogu, R., de Marne, P., Denk, S., Denner, P., Dibon, M., D'Inca, R., Di Siena, A., Douai, D., Drenik, A., Drube, R., Dunne, M., Duval, B. P., Dux, R., Eich, T., Elgeti, S., Engelhardt, K., Erdos, B., Erofeev, I., Esposito, B., Fable, E., Faitsch, M., Fantz, U., Faugel, H., Felici, F., Fietz, S., Figueredo, A., Fischer, R., Ford, O., Frassinetti, L., Freethy, S., Froeschle, M., Fuchert, G., Fuchs, J. C., Fuenfgelder, H., Galazka, K., Galdon-Quiroga, J., Gallo, A., Gao, Y., Garavaglia, S., Garcia-Munoz, M., Geiger, B., Cianfarani, C., Giannone, L., Giovannozzi, E., Gleason-Gonzalez, C., Gloeggler, S., Gobbin, M., Goerler, T., Goodman, T., Gorini, G., Gradic, D., Graeter, A., Granucci, G., Greuner, H., Griener, M., Groth, M., Gude, A., Guenter, S., Guimarais, L., Haas, G., Hakola, A. H., Ham, C., Happel, T., Harrison, J., Hatch, D., Hauer, V., Hayward, T., Heinemann, B., Heinzel, S., Hellsten, T., Henderson, S., Hennequin, P., Herrmann, A., Heyn, E., Hitzler, F., Hobirk, J., Hoelzl, M., Hoeschen, T., Holm, J. H., Hopf, C., Hoppe, F., Horvath, L., Houben, A., Huber, A., Igochine, V., Ilkei, T., Ivanova-Stanik, I., Jacob, W., Jacobsen, A. S., Jacquot, J., Janky, F., Jardin, A., Jaulmes, F., Jenko, F., Jensen, T., Joffrin, E., Kasemann, C., Kalvin, S., Kantor, M., Kappatou, A., Kardaun, O., Karhunen, J., Kasilov, S., Kernbichler, W., Kim, D., Kimmig, S., Kirk, A., Klingshirn, H. J., Koch, F., Kocsis, G., Koehn, A., Kraus, M., Krieger, K., Krivska, A., Kraemer-Flecken, A., Kurki-Suonio, T., Kurzan, B., Lackner, K., Laggner, F., Lang, P. T., Lauber, P., Lazanyi, N., Lazaros, A., Lebschy, A., Li, L., Li, M., Liang, Y., Lipschultz, B., Liu, Y., Lohs, A., Luhmann, N. C., Lunt, T., Lyssoivan, A., Madsen, J., Maier, H., Maj, O., Mailloux, J., Maljaars, E., Manas, P., Mancini, A., Manhard, A., Manso, M. E., Mantica, P., Mantsinen, M., Manz, P., Maraschek, M., Martens, C., Martin, P., Marrelli, L., Martitsch, A., Mastrostefano, S., Mayer, A., Mayer, M., Mazon, D., Mccarthy, P. J., Mcdermott, R., Meisl, G., Meister, H., Medvedeva, A., Merkel, P., Merkel, R., Merle, A., Mertens, V., Meshcheriakov, D., Meyer, H., Meyer, O., Miettunen, J., Milanesio, D., Mink, F., Mlynek, A., Monaco, F., Moon, C., Nazikian, R., Nemes-Czopf, A., Neu, G., Neu, R., Nielsen, A. H., Nielsen, S. K., Nikolaeva, V., Nocente, M., Noterdaeme, J. M., Nowak, S., Oberkofler, M., Oberparleiter, M., Ochoukov, R., Odstrcil, T., Olsen, J., Orain, F., Palermo, F., Papp, G., Paradela Perez, I., Pautasso, G., Enzel, F., Petersson, P., Pinzon, J., Piovesan, P., Piron, C., Plaum, B., Ploeckl, B., Plyusnin, V., Pokol, G., Poli, E., Porte, L., Potzel, S., Prisiazhniuk, D., Putterich, T., Ramisch, M., Rapson, C., Rasmussen, J., Raupp, G., Refy, D., Reich, M., Reimold, F., Ribeiro, T., Riedl, R., Rittich, D., Rocchi, G., Rodriguez-Ramos, M., Rohde, V., Ross, A., Rott, M., Rubel, M., Ryan, D., Ryter, F., Saarelma, S., Salewski, M., Salmi, A., Sanchis-Sanchez, L., Santos, G., Santos, J., Sauter, O., Scarabosio, A., Schall, G., Schmid, K., Schmitz, O., Schneider, P. A., Schneller, M., Schrittwieser, R., Schubert, M., Schwarz-Selinger, T., Schweinzer, J., Scott, B., Sehmer, T., Sertoli, M., Shabbir, A., Shalpegin, A., Shao, L., Sharapov, S., Siccinio, M., Sieglin, B., Sigalov, A., Silva, A., Silva, C., Simon, P., Simpson, J., Snicker, A., Sommariva, C., Sozzi, C., Spolaore, M., Stejner, M., Stober, J., Stobbe, F., Stroth, U., Strumberger, E., Suarez, G., Sugiyama, K., Sun, H. J., Suttrop, W., Szepesi, T., Tal, B., Tala, T., Tardini, G., Tardocchi, M., Terranova, D., Tierens, W., Told, D., Tudisco, O., Trevisan, G., Treutterer, W., Trier, E., Tripsky, M., Valisa, M., Valovic, M., Vanovac, B., Varela, P., Varoutis, S., Verdoolaege, G., Vezinet, D., Vianello, N., Vicente, J., Vierle, T., Viezzer, E., von Toussaint, U., Wagner, D., Wang, N., Wang, X., Weidl, M., Weiland, M., White, A. E., Willensdorfer, M., Wiringer, B., Wischmeier, M., Wolf, R., Wolfrum, E., Xiang, L., Yang, Q., Yang, Z., Yu, Q., Zagorski, R., Zammuto, I., Zarzoso, D., Zhang, W., van Zeeland, M., Zehetbauer, T., Zilker, M., Zoletnik, S., Zohm, H., Hakola, A., Adamek, J., Agostini, M., Ahn, J., Akers, R., Albanese, R., Aledda, R., Alessi, E., Allan, S., Alves, D., Ambrosino, R., Amicucci, L., Anand, H., Anastassiou, G., Andrebe, Y., Apruzzese, G., Ariola, M., Arnichand, H., Arter, W., Baciero, A., Barnes, M., Barrera, L., Behn, R., Bencze, A., Bettini, P., Bilkova, P., Bin, W., Bizarro, J. P. S., Blanchard, P., Blanken, T., Bluteau, M., Bogar, O., Bohm, P., Boncagni, L., Botrugno, A., Bouquey, F., Bourdelle, C., Bremond, S., Bufferand, H., Buratti, P., Cahyna, P., Calabro, G., Caniello, R., Canton, A., Cardinali, A., Carnevale, D., Castejon, F., Castro, R., Causa, F., Cavazzana, R., Cecconello, M., Ceccuzzi, S., Cesario, R., Challis, C. D., Chapman, I. T., Chapman, S., Chernyshova, M., Choi, D., Ciraolo, G., Citrin, J., Corre, Y., Crisanti, F., Cruz, N., De Angeli, M., De Masi, G., De Temmerman, G., De Tommasi, G., Decker, J., Delogu, R. S., Dendy, R., Di Troia, C., Dimitrova, M., Doric, V., Dudson, B., Dunai, D., Easy, L., Elmore, S., Fedorczak, N., Ferreira, J., Fevrier, O., Ficker, O., Figini, L., Figueiredo, A., Fil, A., Fishpool, G., Fitzgerald, M., Fontana, M., Fridstrom, R., Frigione, D., Fuchs, C., Furno Palumbo, M., Futatani, S., Gabellieri, L., Galeani, S., Gallart, D., Galperti, C., Garcia, J., Garcia-Carrasco, A., Garcia-Lopez, J., Gardarein, J. L., Garzotti, L., Gaspar, J., Gauthier, E., Geelen, P., Ghendrih, P., Ghezzi, F., Giacomelli, L., Giroud, C., Gleason Gonzalez, C., Goodman, T. P., Gospodarczyk, M., Gruber, M., Guirlet, R., Gunn, J., Hacek, P., Hacquin, S., Hall, S., Harting, D., Havlickova, E., Helou, W., Heyn, M., Hnat, B., Holzl, M., Hogeweij, D., Honore, C., Horacek, J., Hornung, G., Huang, Z., Igitkhanov, J., Imrisek, M., Innocente, P., Ionita-Schrittwieser, C., Isliker, H., Jacquet, P., Jakubowski, M., Jeppe Miki Busk, O., Jessen, M., Jones, O., Jonsson, T., Kallinikos, N., Karpushov, A., Kasprowicz, G., Kendl, A., Kjer, S., Klimek, I., Kogut, D., Komm, M., Korsholm, S. B., Koslowski, H. R., Koubiti, M., Kovacic, J., Kovarik, K., Krawczyk, N., Krbec, J., Kube, R., Kudlacek, O., Labit, B., Laggner, F. M., Laguardia, L., Lahtinen, A., Lalousis, P., Lang, P., H. B., Le, Leddy, J., Lefevre, L., Lehnen, M., Leipold, F., Lessig, A., Leyland, M., Liu, Y. Q., Loarer, T., Loarte, A., Loewenhoff, T., Lomanowski, B., Loschiavo, V. P., Lupelli, I., Lux, H., Maget, P., Maggi, C., Maggiora, R., Magnussen, M. L., Maljaars, B., Malygin, A., Marchand, B., Marconato, N., Marini, C., Marinucci, M., Markovic, T., Marocco, D., Martin, Y., Martin Solis, J. R., Mattei, M., Matthews, G., Mavridis, M., Mayoral, M. L., Mccarthy, P., Mcadams, R., Mcardle, G., Mcclements, K., Mcmillan, B., Militello, F., Miron, I. G., Mitosinkova, K., Mlynar, J., Molina, D., Molina, P., Monakhov, I., Morales, J., Moreau, D., Morel, P., Moret, J. M., Moro, A., Moulton, D., Mueller, H. W., Nabais, F., Nardon, E., Naulin, V., Nespoli, F., Nimb, S., Nouailletas, R., Omotani, J., O'Mullane, M. G., Osterman, N., Paccagnella, R., Pamela, S., Pangione, L., Panjan, M., Paprok, R., Parail, V., Parra, F. I., Pehkonen, S. P., Pereira, A., Perelli Cippo, E., Pericoli Ridolfini, V., Peterka, M., Petrzilka, V., Pironti, A., Pisano, F., Pisokas, T., Pitts, R., Ploumistakis, I., Poljak, D., Poloskei, P., Popovic, Z., Por, G., Predebon, I., Preynas, M., Primc, G., Pucella, G., Puiatti, M. E., Puetterich, T., Rack, M., Ramogida, G., Juul Rasmussen, J., Ratta, G. A., Ratynskaia, S., Ravera, G., Reimerdes, H., Reinke, M., Reiser, D., Resnik, M., Reux, C., Ripamonti, D., Riva, G., Rosato, J., Sabot, R., Saint-Laurent, F., Samaddar, D., Scannell, R., Scheffer, M., Schneider, M., Schneider, B., Schneider, P., Seidl, J., Sesnic, S., Shanahan, B., Sheikh, U., Silva Fuglister, M., Spagnolo, S., Spizzo, G., Stange, T., Stejner Pedersen, M., Stepanov, I., Strand, P., Susnjara, A., Tamain, P., Teplukhina, A., Testa, D., Theiler, C., Thornton, A., Tolias, P., Tophoj, L., Trevisan, G. L., Tsironis, C., Tsui, C., Uccello, A., Urban, J., Vallejos, P., Van den Brand, H., Vartanian, S., Vega, J., Verhaegh, K., Vermare, L., Vignitchouk, L., Vijvers, W. A. J., Villone, F., Viola, B., Vlahos, L., Voitsekhovitch, I., Vondracek, P., N. M. T., Vu, Walkden, N., Wauters, T., Weinzettl, V., Westerhof, E., Wiesenberger, M., Wodniak, I., Yadykin, D., Zanca, P., Zaplotnik, R., Zestanakis, P., Zuin, M., Litaudon, X., Abduallev, S., Abhangi, M., Abreu, P., Afzal, M., Aggarwal, K. M., Ahlgren, T., Ahn, J. H., Aiba, N., Airila, M., Aldred, V., Alegre, D., Aleynikov, P., Alfier, A., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Amosov, V., Andersson Sunden, E., Angelone, M., Anghel, M., Appel, L., Appelbee, C., Arena, P., Arshad, S., Ash, A., Ashikawa, N., Aslanyan, V., Auriemma, F., Austin, Y., Avotina, L., Axton, M. D., Ayres, C., Bacharis, M., Baiao, D., Bailey, S., Baker, A., Balboa, I., Balshaw, N., Bament, R., Banks, J. W., Baranov, Y. F., Barnard, M. A., Barnes, D., Barnsley, R., Baron Wiechec, A., Barrera Orte, L., Baruzzo, M., Basiuk, V., Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baughan, R., Bauvir, B., Baylor, L., Bazylev, B., Beal, J., Beaumont, P. S., Beckers, M., Beckett, B., Becoulet, A., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Bellinger, M., Belonohy, E., Ben Ayed, N., Benterman, N. A., Bergsaker, H., Berry, M., Bertalot, L., Besliu, C., Bieg, B., Bielecki, J., Biewer, T., Bigi, M., Binda, F., Bisoffi, A., Bjorkas, C., Blackburn, J., Blackman, K., Blackman, T. R., Blatchford, P., Boboc, A., Bodnar, G., Bolshakova, I., Bonanomi, N., Bonelli, F., Boom, J., Booth, J., Borba, D., Borodin, D., Borodkina, I., Boulting, P., Bowden, M., Bower, C., Bowman, C., Boyce, T., Boyd, C., Boyer, H. J., Bradshaw, J. M. A., Braic, V., Bravanec, R., Breizman, B., Brennan, P. D., Breton, S., Brett, A., Bright, M. D. J., Brix, M., Broeckx, W., Brombin, M., Broslawski, A., Brown, D. P. D., Brown, M., Bruno, E., Bucalossi, J., Buch, J., Buckley, M. A., Budny, R., Bulman, M., Bulmer, N., Bunting, P., Buscarino, A., Busse, A., Butler, N. K., Bykov, I., Byrne, J., Calvo, I., Camp, P., Campling, D. C., Cane, J., Capel, A. J., Card, P. J., Carman, P., Carraro, L., Carvalho, B. B., Carvalho, I., Casson, F. J., Catarino, N., Caumont, J., Cave-Ayland, K., Cavinato, M., Cecil, E., Cenedese, A., Chandler, M., Chandra, D., Chang, C. S., Chapman, S. C., Chitarin, G., Ciric, D., Clark, E., Clark, M., Clarkson, R., Clatworthy, D., Clements, C., Cleverly, M., Coad, J. P., Coates, P. A., Cobalt, A., Coccorese, V., Cocilovo, V., Coffey, I., Collins, S., Conka, D., Conroy, S., Conway, N., Coombs, D., Cooper, D., Cooper, S. R., Corradino, C., Corrigan, G., Cortes, S., Coster, D., Couchman, A. S., Cox, M. P., Craciunescu, T., Cramp, S., Craven, R., Croft, D., Crombe, K., Crowe, R., Cufar, A., Cullen, A., Curuia, M., Dabirikhah, H., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., Davies, O., Davis, W., Day, I. E., De Bock, M., de Castro, A., de la Cal, E., de la Luna, E., de Pablos, J. L., de Vries, P., Deakin, K., Deane, J., Degli Agostini, F., Dejarnac, R., Delabie, E., den Harder, N., Dendy, R. O., Denis, J., Devaux, S., Devynck, P., Di Maio, F., Dinca, P., Ding, B., Dittmar, T., Doerk, H., Doerner, R. P., Donne, T., Dorling, S. E., Dormido-Canto, S., Doswon, S., Doyle, P. T., Drewelow, P., Drews, P., Duckworth, P., Dumont, R., Dumortier, P., Duran, I., Durodie, F., Dutta, P., Dylst, K., Dzysiuk, N., Edappala, P. V., Edmond, J., Edwards, A. M., Edwards, J., Ekedahl, A., El-Jorf, R., Elsmore, C. G., Enachescu, M., Ericsson, G., Eriksson, F., Eriksson, J., Eriksson, L. G., Esquembri, S., Esser, H. G., Esteve, D., Evans, B., Evans, G. E., Evison, G., Ewart, G. D., Fagan, D., Falie, D., Fasoli, A., Faustin, J. M., Fawlk, N., Fazendeiro, L., Felton, R. C., Fenton, K., Fernades, A., Fernandes, H., Fessey, J. A., Field, A., Figueiredo, J., Finburg, P., Firdaouss, M., Fischer, U., Fittill, L., Flammini, D., Flanagan, J., Fleming, C., Flinders, K., Fonnesu, N., Fontdecaba, J. M., Formisano, A., Forsythe, L., Fortuna, L., Fortuna-Zalesna, E., Fortune, M., Foster, S., Franke, T., Franklin, T., Frasca, M., Freisinger, M., Fresa, R., Fuchs, V., Fuller, D., Fyvie, J., Gal, K., Galassi, D., Gallagher, J., Galvao, R., Gao, X., Gaudio, P., Gear, D. F., Gee, S. J., Gelfusa, M., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Ghate, M., Gherendi, M., Giacalone, J. C., Gibson, C. S., Giegerich, T., Gil, C., Gil, L., Gilligan, S., Gin, D., Girardo, J. B., Giruzzi, G., Godwin, J., Goff, J., Gohil, P., Goloborod'Ko, V., Gomes, R., Goncalves, B., Goniche, M., Goodliffe, M., Goodyear, A., Gosk, M., Goulding, R., Goussarov, A., Gowland, R., Graham, B., Graham, M. E., Graves, J. P., Grazier, N., Grazier, P., Green, N. R., Grierson, B., Griph, F. S., Grisolia, C., Grist, D., Grove, R., Grundy, C. N., Grzonka, J., Guard, D., Guerard, C., Guillemaut, C., Gurl, C., Utoh, H. H., Hackett, L. J., Hagar, A., Hager, R., Halitovs, M., Hall, S. J., Hallworth Cook, S. P., Hamlyn-Harris, C., Hammond, K., Harrington, C., Hasenbeck, F., Hatano, Y., Hatch, D. R., Haupt, T. D. V., Hawes, J., Hawkes, N. C., Hawkins, J., Hawkins, P., Haydon, P. W., Hayter, N., Hazel, S., Heesterman, P. J. L., Heinola, K., Hellesen, C., Hemming, O. N., Hender, T. C., Henderson, M., Henderson, S. S., Henriques, R., Hepple, D., Hermon, G., Hertout, P., Hidalgo, C., Highcock, E. G., Hill, M., Hillairet, J., Hillesheim, J., Hillis, D., Hizanidis, K., Hjalmarsson, A., Hodille, E., Hogben, C. H. A., Hogeweij, G. M. D., Hollingsworth, A., Hollis, S., Homfray, D. A., Horton, A. R., Horton, L. D., Hotchin, S. P., Hough, M. R., Howarth, P. J., Hubbard, A., Huber, V., Huddleston, T. M., Hughes, M., Huijsmans, G. T. A., Hunter, C. L., Huynh, P., Hynes, A. M., Iglesias, D., Imazawa, N., Imbeaux, F., Incelli, M., Irishkin, M., Jachmich, S., Jansons, J., Jarvinen, A., Jednorog, S., Jenkins, I., Jeong, C., Jepu, I., Johnson, R., Johnson, T., Johnston, J., Joita, L., Jones, G., Jones, T. T. C., Hoshino, K. K., Kamiya, K., Kaniewski, J., Kantor, A., Karkinsky, D., Karnowska, I., Kaufman, M., Kaveney, G., Kazakov, Y., Kazantzidis, V., Keeling, D. L., Keenan, T., Keep, J., Kempenaars, M., Kennedy, C., Kenny, D., Kent, J., Kent, O. N., Khilkevich, E., Kim, H. T., Kim, H. S., Kinch, A., King, C., King, D., King, R. F., Kinna, D. J., Kiptily, V., Kirov, K., Kirschner, A., Kizane, G., Klepper, C., Klix, A., Knight, P., Knipe, S. J., Knott, S., Kobuchi, T., Koechl, F., Kodeli, I., Kogan, L., Koivuranta, S., Kominis, Y., Koeppen, M., Kos, B., Koskela, T., Kovari, M., Kowalska-Strzeciwilk, E., Krasilnikov, A., Krasilnikov, V., Kresina, M., Kruezi, U., Ksiazek, I., Kukushkin, A., Kundu, A., Kwak, S., Kwiatkowski, R., Kwon, O. J., Laing, A., Lam, N., Lambertz, H. T., Lane, C., Lanthaler, S., Lapins, J., Lasa, A., Last, J. R., Laszynska, E., Lawless, R., Lawson, A., Lawson, K. D., Lazzaro, E., Lee, S., Lefebvre, X., Leggate, H. J., Lehmann, J., Leichtle, D., Leichuer, P., Lengar, I., Lennholm, M., Lerche, E., Lescinskis, A., Lesnoj, S., Letellier, E., Leysen, W., Likonen, J., Linke, J., Linsmeier, C., Liu, G., Lo Schiavo, V. P., Lobel, R. C., Lomas, P. J., Lonnroth, J., Lopez, J. M., Lopez-Razola, J., Lorenzini, R., Losada, U., Lovell, J. J., Loving, A. B., Lowry, C., Luce, T., Lucock, R. M. A., Lukin, A., Luna, C., Lungaroni, M., Lungu, C. P., Lungu, M., Lunniss, A., Macdonald, N., Macheta, P., Maczewa, K., Magesh, B., Makkonen, T., Makwana, R., Malaquias, A., Malizia, A., Manning, A., Manzanares, A., Maquet, P., Marandet, Y., Marcenko, N., Marchetto, C., Marchuk, O., Marinelli, M., Marot, L., Marren, C. A., Marshal, R., Martin, A., Martin de Aguilera, A., Martinez, F. J., Martin-Solis, J. R., Martynova, Y., Maruyama, S., Masiello, A., Maslov, M., Matejcik, S., Matthews, G. F., Maviglia, F., May-Smith, T., Mazzotta, C., Mcclements, K. G., Mccormack, O., Mccullen, P. 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P., Donne, T., Dorling, S. E., Dormido-Canto, S., Doswon, S., Doyle, P. T., Drewelow, P., Drews, P., Duckworth, P., Dumont, R., Dumortier, P., Duran, I., Durodie, F., Dutta, P., Dylst, K., Dzysiuk, N., Edappala, P. V., Edmond, J., Edwards, A. M., Edwards, J., Ekedahl, A., El-Jorf, R., Elsmore, C. G., Enachescu, M., Ericsson, G., Eriksson, F., Eriksson, J., Eriksson, L. G., Esquembri, S., Esser, H. G., Esteve, D., Evans, B., Evans, G. E., Evison, G., Ewart, G. D., Fagan, D., Falie, D., Fasoli, A., Faustin, J. M., Fawlk, N., Fazendeiro, L., Felton, R. C., Fenton, K., Fernades, A., Fernandes, H., Fessey, J. A., Field, A., Figueiredo, J., Finburg, P., Firdaouss, M., Fischer, U., Fittill, L., Flammini, D., Flanagan, J., Fleming, C., Flinders, K., Fonnesu, N., Fontdecaba, J. M., Formisano, A., Forsythe, L., Fortuna, L., Fortuna-Zalesna, E., Fortune, M., Foster, S., Franke, T., Franklin, T., Frasca, M., Freisinger, M., Fresa, R., Fuchs, V., Fuller, D., Fyvie, J., Gal, K., Galassi, D., Gallagher, J., Galvao, R., Gao, X., Gaudio, P., Gear, D. F., Gee, S. J., Gelfusa, M., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Ghate, M., Gherendi, M., Giacalone, J. C., Gibson, C. S., Giegerich, T., Gil, C., Gil, L., Gilligan, S., Gin, D., Girardo, J. B., Giruzzi, G., Godwin, J., Goff, J., Gohil, P., Goloborod'Ko, V., Gomes, R., Goncalves, B., Goniche, M., Goodliffe, M., Goodyear, A., Gosk, M., Goulding, R., Goussarov, A., Gowland, R., Graham, B., Graham, M. E., Graves, J. P., Grazier, N., Grazier, P., Green, N. R., Grierson, B., Griph, F. S., Grisolia, C., Grist, D., Grove, R., Grundy, C. N., Grzonka, J., Guard, D., Guerard, C., Guillemaut, C., Gurl, C., Utoh, H. H., Hackett, L. J., Hagar, A., Hager, R., Halitovs, M., Hall, S. J., Hallworth Cook, S. P., Hamlyn-Harris, C., Hammond, K., Harrington, C., Hasenbeck, F., Hatano, Y., Hatch, D. R., Haupt, T. D. V., Hawes, J., Hawkes, N. C., Hawkins, J., Hawkins, P., Haydon, P. W., Hayter, N., Hazel, S., Heesterman, P. J. L., Heinola, K., Hellesen, C., Hemming, O. N., Hender, T. C., Henderson, M., Henderson, S. S., Henriques, R., Hepple, D., Hermon, G., Hertout, P., Hidalgo, C., Highcock, E. G., Hill, M., Hillairet, J., Hillesheim, J., Hillis, D., Hizanidis, K., Hjalmarsson, A., Hodille, E., Hogben, C. H. A., Hogeweij, G. M. D., Hollingsworth, A., Hollis, S., Homfray, D. A., Horton, A. R., Horton, L. D., Hotchin, S. P., Hough, M. R., Howarth, P. J., Hubbard, A., Huber, V., Huddleston, T. M., Hughes, M., Huijsmans, G. T. A., Hunter, C. L., Huynh, P., Hynes, A. M., Iglesias, D., Imazawa, N., Imbeaux, F., Incelli, M., Irishkin, M., Jachmich, S., Jansons, J., Jarvinen, A., Jednorog, S., Jenkins, I., Jeong, C., Jepu, I., Johnson, R., Johnson, T., Johnston, J., Joita, L., Jones, G., Jones, T. T. C., Hoshino, K. K., Kamiya, K., Kaniewski, J., Kantor, A., Karkinsky, D., Karnowska, I., Kaufman, M., Kaveney, G., Kazakov, Y., Kazantzidis, V., Keeling, D. L., Keenan, T., Keep, J., Kempenaars, M., Kennedy, C., Kenny, D., Kent, J., Kent, O. N., Khilkevich, E., Kim, H. T., Kim, H. S., Kinch, A., King, C., King, D., King, R. F., Kinna, D. J., Kiptily, V., Kirov, K., Kirschner, A., Kizane, G., Klepper, C., Klix, A., Knight, P., Knipe, S. J., Knott, S., Kobuchi, T., Koechl, F., Kodeli, I., Kogan, L., Koivuranta, S., Kominis, Y., Koeppen, M., Kos, B., Koskela, T., Kovari, M., Kowalska-Strzeciwilk, E., Krasilnikov, A., Krasilnikov, V., Kresina, M., Kruezi, U., Ksiazek, I., Kukushkin, A., Kundu, A., Kwak, S., Kwiatkowski, R., Kwon, O. J., Laing, A., Lam, N., Lambertz, H. T., Lane, C., Lanthaler, S., Lapins, J., Lasa, A., Last, J. R., Laszynska, E., Lawless, R., Lawson, A., Lawson, K. D., Lazzaro, E., Lee, S., Lefebvre, X., Leggate, H. J., Lehmann, J., Leichtle, D., Leichuer, P., Lengar, I., Lennholm, M., Lerche, E., Lescinskis, A., Lesnoj, S., Letellier, E., Leysen, W., Likonen, J., Linke, J., Linsmeier, C., Liu, G., Lo Schiavo, V. P., Lobel, R. C., Lomas, P. J., Lonnroth, J., Lopez, J. M., Lopez-Razola, J., Lorenzini, R., Losada, U., Lovell, J. J., Loving, A. B., Lowry, C., Luce, T., Lucock, R. M. A., Lukin, A., Luna, C., Lungaroni, M., Lungu, C. P., Lungu, M., Lunniss, A., Macdonald, N., Macheta, P., Maczewa, K., Magesh, B., Makkonen, T., Makwana, R., Malaquias, A., Malizia, A., Manning, A., Manzanares, A., Maquet, P., Marandet, Y., Marcenko, N., Marchetto, C., Marchuk, O., Marinelli, M., Marot, L., Marren, C. A., Marshal, R., Martin de Aguilera, A., Martinez, F. J., Martin-Solis, J. R., Martynova, Y., Maruyama, S., Masiello, A., Maslov, M., Matejcik, S., Maviglia, F., May-Smith, T., Mazzotta, C., Mccormack, O., Mccullen, P. A., Mcdonald, D., Mcintosh, S., Mckean, R., Mckehon, J., Meadows, R. 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A., Reynolds, S., Riccardo, V., Richardson, N., Riddle, K., Rigamonti, D., Rimini, F. G., Risner, J., Riva, M., Roach, C., Robins, R. J., Robinson, S. A., Robinson, T., Robson, D. W., Roccella, R., Rodionov, R., Rodrigues, P., Rodriguez, J., Romanelli, F., Romanelli, M., Romanelli, S., Romazanov, J., Rowe, S., Rubinacci, G., Rubino, G., Ruchko, L., Ruiz, M., Ruset, C., Rzadkiewicz, J., Safi, E., Sagar, P., Saibene, G., Salmon, R., Salzedas, F., Samm, U., Sandiford, D., Santa, P., Santala, M. I. K., Santos, B., Santucci, A., Sartori, F., Sartori, R., Schlummer, T., Schmidt, V., Schmuck, S., Schoepf, K., Schworer, D., Scott, S. D., Sergienko, G., Sharapov, S. E., Shaw, A., Shaw, R., Sheikh, H., Shepherd, A., Shevelev, A., Shumack, A., Sibbald, M., Silburn, S., Simmons, P. A., Simpson-Hutchinson, J., Sinha, A., Sipila, S. K., Sips, A. C. C., Siren, P., Sirinelli, A., Sjostrand, H., Skiba, M., Skilton, R., Slabkowska, K., Slade, B., Smith, N., Smith, P. G., Smith, R., Smith, T. 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D., Zerbini, M., Zhou, Y., Zilli, E., Zoita, V., Zychor, I., ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, EUROfusion MST1 Team, JET Contributors, Sias, G, Cannas, B, Fanni, A, Murari, A, Pau, A, Kallenbach, A, Aguiam, D, Aho-Mantila, L, Angioni, C, Arden, N, Arredondo Parra, R, Asunta, O, de Baar, M, Balden, M, Behler, K, Bergmann, A, Bernardo, J, Bernert, M, Beurskens, M, Biancalani, A, Bilato, R, Birkenmeier, G, Bobkov, V, Bock, A, Bogomolov, A, Bolzonella, T, Boeswirth, B, Bottereau, C, Bottino, A, van den Brand, H, Brezinsek, S, Brida, D, Brochard, F, Bruhn, C, Buchanan, J, Buhler, A, Burckhart, A, Cambon-Silva, D, Camenen, Y, Carvalho, P, Carrasco, G, Cazzaniga, C, Carr, M, Carralero, D, Casali, L, Castaldo, C, Cavedon, M, Challis, C, Chankin, A, Chapman, I, Clairet, F, Classen, I, Coda, S, Coelho, R, Coenen, J, Colas, L, Conway, G, Costea, S, Coster, D, Croci, G, Cseh, G, Czarnecka, A, D'Arcangelo, O, Day, C, Delogu, R, de Marne, P, Denk, S, 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- Subjects
Disruption prediction ,Tokamak ,Offset (computer science) ,Computer science ,Feature extraction ,Disruption indicators ,01 natural sciences ,Signal ,010305 fluids & plasmas ,law.invention ,[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] ,ASDEX Upgrade ,law ,Control theory ,0103 physical sciences ,General Materials Science ,010306 general physics ,Locked mode signal ,Civil and Structural Engineering ,Jet (fluid) ,Mechanical Engineering ,[SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment ,Settore FIS/01 - Fisica Sperimentale ,Mode (statistics) ,Amplitude ,Nuclear Energy and Engineering ,Disruption indicator - Abstract
International audience; The aim of this paper is to present a signal processing algorithm that, applied to the raw Locked Mode signal, allows us to obtain a disruption indicator in principle exploitable on different tokamaks. A common definition of such an indicator for different machines would facilitate the development of portable systems for disruption prediction, which is becoming of increasingly importance for the next tokamak generations. Moreover, the indicator allows us to overcome some intrinsic problems in the diagnostic system such as drift and offset. The behavior of the proposed indicator as disruption predictor, based on crossing optimized thresholds of the signal amplitude, has been analyzed using data of both JET and ASDEX Upgrade experiments. A thorough analysis of the disruption prediction performance shows how the indicator is able to recover some missed and tardy detections of the raw signal. Moreover, it intervenes and corrects premature or even wrong alarms due to, e.g., drifts and/or offsets.
- Published
- 2019
35. Detector Control System for the GE1/1 slice test
- Author
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M. Abbas, M. Abbrescia, H. Abdalla, S. Abu Zeid, A. Agapitos, A. Ahmad, A. Ahmed, W. Ahmed, S. Amarjeet, I. Asghar, P. Aspell, C. Avila, J. Babbar, Y. Ban, R. Band, S. Bansal, L. Benussi, V. Bhatnagar, M. Bianco, S. Bianco, K. Black, L. Borgonovi, O. Bouhali, A. Braghieri, S. Braibant, S. Butalla, S. Calzaferri, M. Caponero, F. Cassese, N. Cavallo, S. Chauhan, S. Colafranceschi, A. Colaleo, A. Conde Garcia, M. Dalchenko, A. De Iorio, G. De Lentdecker, D. Dell Olio, G. De Robertis, W. Dharmaratna, S. Dildick, B. Dorney, R. Erbacher, F. Fabozzi, F. Fallavollita, D. Fiorina, E. Fontanesi, M. Franco, C. Galloni, P. Giacomelli, J. Gilmore, M. Gola, M. Gruchala, A. Gutierrez, R. Hadjiiska, T. Hakkarainen, J. Hauser, K. Hoepfner, M. Hohlmann, H. Hoorani, T. Huang, P. Iaydjiev, A. Irshad, A. Iorio, J. Jaramillo, D. Jeong, V. Jha, A. Juodagalvis, E. Juska, T. Kamon, P. Karchin, A. Kaur, H. Kaur, H. Keller, H. Kim, J. Kim, A. Kumar, S. Kumar, H. Kumawat, N. Lacalamita, J. Lee, A. Levin, Q. Li, F. Licciulli, L. Lista, F. Loddo, M. Lohan, M. Luhach, M. Maggi, N. Majumdar, K. Malagalage, S. Malhorta, S. Martiradonna, N. Mccoll, C. McLean, J. Merlin, D. Mishra, G. Mocellin, L. Moureaux, A. Muhammad, S. Muhammad, S. Mukhopadhyay, S. Murtaza, M. Naimuddin, P. Netrakanti, S. Nuzzo, R. Oliveira, L. Pant, P. Paolucci, I. Park, L. Passamonti, G. Passeggio, A. Peck, L. Petre, H. Petrow, D. Piccolo, D. Pierluigi, G. Raffone, M. Rahmani, F. Ramirez, A. Ranieri, G. Rashevski, M. Ressegotti, C. Riccardi, M. Rodozov, C. Roskas, B. Rossi, P. Rout, J.D. Ruiz, A. Russo, A. Safonov, D. Saltzberg, G. Saviano, A. Shah, A. Sharma, R. Sharma, M. Shopova, F. Simone, J. Singh, E. Soldani, U. Sonnadara, E. Starling, B. Stone, J. Sturdy, G. Sultanov, Z. Szillasi, D. Teague, D. Teyssier, T. Tuuva, M. Tytgat, I. Vai, N. Vanegas, R. Venditti, P. Verwilligen, W. Vetens, A. Virdi, P. Vitulo, A. Wajid, D. Wang, K. Wang, N. Wickramage, Y. Yang, U. Yang, J. Yongho, I. Yoon, Z. You, I. Yu, S. Zaleski, Abbas, M, Abbrescia, M, Abdalla, H, Abu Zeid, S, Agapitos, A, Ahmad, A, Ahmed, A, Ahmed, W, Amarjeet, S, Asghar, I, Aspell, P, Avila, C, Babbar, J, Ban, Y, Band, R, Bansal, S, Benussi, L, Bhatnagar, V, Bianco, M, Bianco, S, Black, K, Borgonovi, L, Bouhali, O, Braghieri, A, Braibant, S, Butalla, S, Calzaferri, S, Caponero, M, Cassese, F, Cavallo, N, Chauhan, S, Colafranceschi, S, Colaleo, A, Garcia, AC, Dalchenko, M, De Iorio, A, De Lentdecker, G, Olio, DD, De Robertis, G, Dharmaratna, W, Dildick, S, Dorney, B, Erbacher, R, Fabozzi, F, Fallavollita, F, Fiorina, D, Fontanesi, E, Franco, M, Galloni, C, Giacomelli, P, Gilmore, J, Gola, M, Gruchala, M, Gutierrez, A, Hadjiiska, R, Hakkarainen, T, Hauser, J, Hoepfner, K, Hohlmann, M, Hoorani, H, Huang, T, Iaydjiev, P, Irshad, A, Iorio, A, Jaramillo, J, Jeong, D, Jha, V, Juodagalvis, A, Juska, E, Kamon, T, Karchin, P, Kaur, A, Kaur, H, Keller, H, Kim, H, Kim, J, Kumar, A, Kumar, S, Kumawat, H, Lacalamita, N, Lee, J, Levin, A, Li, Q, Licciulli, F, Lista, L, Loddo, F, Lohan, M, Luhach, M, Maggi, M, Majumdar, N, Malagalage, K, Malhorta, S, Martiradonna, S, Mccoll, N, McLean, C, Merlin, J, Mishra, D, Mocellin, G, Moureaux, L, Muhammad, A, Muhammad, S, Mukhopadhyay, S, Murtaza, S, Naimuddin, M, Netrakanti, P, Nuzzo, S, Oliveira, R, Pant, L, Paolucci, P, Park, I, Passamonti, L, Passeggio, G, Peck, A, Petre, L, Petrow, H, Piccolo, D, Pierluigi, D, Raffone, G, Rahmani, M, Ramirez, F, Ranieri, A, Rashevski, G, Ressegotti, M, Riccardi, C, Rodozov, M, Roskas, C, Rossi, B, Rout, P, Ruiz, JD, Russo, A, Safonov, A, Saltzberg, D, Saviano, G, Shah, A, Sharma, A, Sharma, R, Shopova, M, Simone, F, Singh, J, Soldani, E, Sonnadara, U, Starling, E, Stone, B, Sturdy, J, Sultanov, G, Szillasi, Z, Teague, D, Teyssier, D, Tuuva, T, Tytgat, M, Vai, I, Vanegas, N, Venditti, R, Verwilligen, P, Vetens, W, Virdi, A, Vitulo, P, Wajid, A, Wang, D, Wang, K, Wickramage, N, Yang, Y, Yang, U, Yongho, J, Yoon, I, You, Z, Yu, I, and Zaleski, S
- Subjects
Detector control systems (detector and experiment monitoring and slow-control systems, architecture, hardware, algorithms, databases) ,Computer science ,Physics::Instrumentation and Detectors ,Detector control system ,Context (language use) ,Tracking (particle physics) ,01 natural sciences ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,0103 physical sciences ,Micropattern gaseous detectors (MSGC, GEM, THGEM, RETHGEM, MHSP, MICROPIC, MICROMEGAS, InGrid, etc) ,Wafer ,ddc:610 ,ddc:796 ,Detectors and Experimental Techniques ,Micropattern gaseous detectors (MSGC, GEM, THGEM, RETHGEM, MHSP, MICROPIC, MICROMEGAS, InGrid, Etc) ,Detector control systems ,Micropattern gaseous detectors ,Instrumentation ,Micropattern gaseous detectors (MSGC, GEM, THGEM, RETHGEM, MHSP ,Mathematical Physics ,Large Hadron Collider ,010308 nuclear & particles physics ,business.industry ,MICROPIC, MICROMEGAS, InGrid, etc) ,Settore FIS/01 - Fisica Sperimentale ,Detector ,Detector control systems (detector and experiment monitoring and ,Athletic & outdoor sports & games ,Upgrade ,Gas electron multiplier ,slow-control systems, architecture, hardware, algorithms, databases) ,Physics::Accelerator Physics ,business ,Computer hardware - Abstract
Journal of Instrumentation 15(5), P05023 (2020). doi:10.1088/1748-0221/15/05/P05023, Published by Inst. of Physics, London
- Published
- 2020
- Full Text
- View/download PDF
36. mHealth application for remote health monitoring useful during the COVID 19 pandemic
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Virginia Sandulescu, Monica Petre, Viorel Bota, Sorin Puscoci, Alexandru Girlea, and Minodora Dumitrache
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2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Computer science ,Mobile apps ,medicine.disease ,law.invention ,Health data ,Bluetooth ,law ,Pandemic ,Health care ,medicine ,Medical emergency ,business ,mHealth - Abstract
The paper presents an application of mHealth – a mobile app for remote health monitoring, that facilitates using a Bluetooth enabled health measuring device and synchronizing health data to a health care services provider’s web portal. The mobile app uses a public API that allows its integration in a complex platform for home care providers, allowing health monitoring of large groups of patients, monitoring vital functions, including body temperature, respiratory rate and arterial blood oxygen saturation, relevant in monitoring COVID-19 patients.
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- 2021
37. Study of Parameters Influencing the Electrical Locomotives Efficiency
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Alexandru Netoiu, Petre-Marian Nicolae, Ileana Diana Nicolae, Ilie Gheorghe, Radu-Florin Marinescu, and Radu Zlatian
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Set (abstract data type) ,Software ,Computer science ,business.industry ,Statistics ,Freight trains ,Process (computing) ,business ,Geographic coordinate system ,Statistic - Abstract
The paper is focused on an intensive study relative to the analysis of efficiency-related indices characterizing 2 electrical locomotives working in tandem to tract freight trains. Software was conceived to process many data acquired from the train (absorbed and regenerated active and reactive energies, geographical coordinates of the route, speed, meteorological conditions etc). In order to reduce the influence of declivity over the final results, data were acquired for both senses of running over the same route. Statistic data related to other identical locomotives for 12 consecutive months were used to derive conclusions related to the influence of meteorological conditions all over the year. The average results obtained from the 3 analyzed round trips selected in some of the efficiency-related worst scenarios from the environmental conditions point of view matched the average results computed across a whole month for a set of 10 locomotives and allowed to draw useful conclusions.
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- 2021
38. Independent Double-Boost Interleaved Converter with Three-Level Output
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Petre Dorel Teodosescu, Norbert Csaba Szekely, Vasile Mihai Suciu, Sorin Ionut Salcu, Alexandru Madalin Pacuraru, and Lucian Nicolae Pintilie
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Technology ,Computer science ,QH301-705.5 ,020209 energy ,QC1-999 ,Ripple ,Topology (electrical circuits) ,02 engineering and technology ,Topology ,Network topology ,voltage gain ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Biology (General) ,Instrumentation ,QD1-999 ,Fluid Flow and Transfer Processes ,Interconnection ,Series (mathematics) ,Process Chemistry and Technology ,Physics ,020208 electrical & electronic engineering ,General Engineering ,three-level voltage ,Converters ,Engineering (General). Civil engineering (General) ,renewable energy ,Computer Science Applications ,Chemistry ,Feature (computer vision) ,double-boost converter ,interleaved ,TA1-2040 ,Voltage - Abstract
This paper introduces a novel converter topology based on an independent controlled double-boost configuration. The structure was achieved by combining two independent classic boost converters connected in parallel at the input and in series at the output. Through proper control of the two boost converters, an interleaved topology was obtained, which presents a low ripple for the input current. Being connected in series at the output, a three-level structure was attained with twice the voltage gain of classic boost and interleaved topologies. A significant feature of the proposed converter is the possibility of independent operation of the two integrated boost converters, in both symmetrical and asymmetrical modes. This feature may be particularly useful in voltage balancing or interconnection with bipolar DC grids/applications. The operation principle, simulations, mathematical analysis, and laboratory prototype experimental results are presented.
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- 2021
39. Nonlinear Control Strategies for Bioprocesses: Sliding Mode Control versus Vibrational Control
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Dorin Popescu, Dan Selisteanu, Emil Petre, and Eugen Bobasu
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Chemical process ,Reduction (complexity) ,Nonlinear system ,Computer science ,Robustness (computer science) ,Control theory ,Control engineering ,Nonlinear control ,Sliding mode control ,Fuzzy logic - Abstract
Nowadays, the domain of biotechnology is characterized by rapid changes in terms of novelty and by highly complex processes that require advanced procedures for design, operation and control. From the engineering point of view, the control of bioprocesses poses a number of challenging problems. These problems arise from the presence of living organisms, the high complexity of the interactions between the micro-organisms, as well as the high complexity of the metabolic reactions. Moreover, for monitoring and control applications, only a few measurements are available, either because the measuring devices do not exist or are too expensive, or because the available devices do not give reliable measurements. Therefore, we can deduce that the main difficulties arising in the control of bioprocesses arrive from two main sources: the process complexity and the difficulty to have reliable measurements of bioprocess variables (Bastin & Dochain, 1990; Selisteanu et al., 2007a). In order to overcome these difficulties several strategies for the control of bioprocesses were developed, such as adaptive approach (Bastin & Dochain, 1990; Mailleret et al., 2004), vibrational control (Selisteanu & Petre, 2001; Selisteanu et al., 2007a), sliding mode control (Selisteanu et al., 2007a; Selisteanu et al., 2007b), fuzzy and neural strategies etc. Sliding mode control (SMC) has been widely accepted as an efficient method for control of uncertain nonlinear systems (Utkin, 1992; Slotine & Li, 1991; Edwards & Spurgeon, 1998). The classical applications of SMC (such as robotics, electrical machines etc.) were extended to SMC of chemical processes (Sira-Ramirez & Llanes-Santiago, 1994) and to SMC of bioprocesses (Selisteanu et al., 2007a; Selisteanu et al., 2007b). The well-known advantages of the SMC are the robustness, controller order reduction, disturbance rejection, and insensitivity to parameter variations. The main disadvantage of the SMC strategies used in real applications remains the chattering phenomenon, even if some techniques of chattering reduction were developed (Slotine & Li, 1991; Edwards & Spurgeon, 1998). Vibrational control (VC) is a non-classical open-loop control method proposed by Bellman, Bentsman and Meerkov (Meerkov, 1980; Bellman et al., 1986a; Bellman et al., 1986b). Applications of the vibrational control theory can be found for: stabilization of plasma, lasers, chemical reactors, biotechnological processes (Selisteanu et al., 2007a) etc. The VC technique is applied by oscillating an accessible system component at low amplitude and high frequency. Therefore, this technique can be considered, like the SMC, a form of highfrequency control (obviously high-frequency relative to the natural frequency of the system).
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- 2021
40. Automation Control System for Naval Propulsion Retrofitting
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Andrei Mitru, Iulian Vlăducă, Daniel Useriu, Petre Gabriel Badea, Mirela Letitia Vasile, Cristian Nechifor, Teodor Stanescu, Razvan Ciobanu, Claudia Borzea, Adrian Savescu, Dragos Filip Niculescu, and George Iulian Balan
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Computer science ,business.industry ,Programmable logic controller ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Propulsion ,Process automation system ,Automation ,Automotive engineering ,law.invention ,Data acquisition ,law ,Drive shaft ,Control system ,Retrofitting ,business - Abstract
Nowadays, automation systems for naval propulsion groups with gas turbines use programmable logic controllers for a precise and reliable control. The automation system is designed so as to be able to connect using signal cables to the transducers monitoring the engine’s parameters, via adapters, so that the command and regulation functions to be fully automatized. These signals are managed by means of the software program implemented in the PLC, and subsequent data acquisition. One of the important problems is the available resource of the propulsion group, until capital repair is required. The remaining lifetime depends on the operating regimes of the gas turbine engine. This problem is more pronounced in the propulsion groups equipping navy ships, where the dynamic regimes of gas turbine engines are much more demanding, and hence the pre-established operating limits may be exceeded. The automation configuration presented herein ensures the accurate computation and precise control of essential parameters for which the direct measurement is not possible using transducers. These parameters are the exhaust gas temperature, the power developed by the engine and implicitly the torque developed at propeller shaft.
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- 2021
41. An Overview of Acceleration Detection in Inertial Navigation Systems
- Author
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Petre Negrea
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Acceleration ,Inertial frame of reference ,Computer science ,Control engineering ,Context (language use) ,Accelerometer ,Statistic ,Inertial navigation system - Abstract
Accelerometers, along with gyros are the basis of inertial navigation systems, these being the main components of the inertial detection unit. This paper presents an overview of the main categories of accelerometers currently available, as well as a market statistic for this segment. It is also presented a current situation in a pandemic context, and how much this inconvenience could influence the future market. The three types of accelerometers reviewed here, are presented at the level of operating principles and general equations.
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- 2021
42. Measurements of Shielding Effectiveness at a Faraday Flexible Enclosure
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Paul-Adrian Nicoleanu, Viorica Voicu, Petre-Marian Nicolae, Livia-Andreea Dina, and Mihai Madalin Negoiescu
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law ,Computer science ,Electromagnetic shielding ,Enclosure ,Electromagnetic compatibility ,Mechanical engineering ,Faraday cage ,Environmentally friendly ,Electrical conductor ,Electromagnetic interference ,law.invention - Abstract
To reduce electromagnetic disturbances and to ensure protection against electromagnetic interference, current research aims to produce lightweight and low cost absorbent materials. In this sense, companies are looking for innovative, environmentally friendly and economical solutions for the production of high quality products for protection against electromagnetic interferences. As a result, Faraday flexible enclosures made of highly conductive textiles made of polyester with cooper and nickel were manufactured. These enclosures are used for electromagnetic compatibility experiments as well for protection of people. This paper presents some measurements made considering IEEE Std. 299, performed for the evaluation of shielding effectiveness on a Faraday flexible enclosure. The measurements are performed in a special laboratory from a Romanian Institute for Research, Development and Testing in Electrical Engineering.
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- 2021
43. Inertial Measurement Unit – A Short Overview of the Evolving Trend for Miniaturization and Hardware Structures
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Petre Negrea and Vlad Aurelian Vaduvescu
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Microelectromechanical systems ,Inertial frame of reference ,Computer science ,business.industry ,Gimbal ,Accelerometer ,Units of measurement ,Hardware_GENERAL ,Inertial measurement unit ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,Aerospace ,business ,Inertial navigation system ,Computer hardware - Abstract
Inertial navigation is an important concern nowadays, being divided into gimbaled gyro-stabilized platforms and strap-down systems. Between the two systems, the most used, especially in the aerospace field, is the strap- down systems, involving accelerometers and gyro sensors, these being the main component of the inertial measurement unit. This paper presents an overview of the currently inertial navigation systems (INS) structures as well as the hardware configuration of the inertial measurement units (IMU), highlighting the miniaturized MEMS technology.
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- 2021
44. Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
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Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires, and Petre Lameski
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0303 health sciences ,Data processing ,Multidisciplinary ,Data collection ,Offset (computer science) ,Science (General) ,Microphone ,Computer science ,Real-time computing ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Environment ,03 medical and health sciences ,Q1-390 ,0302 clinical medicine ,Data acquisition ,Mobile phone ,Mobile devices ,Table (database) ,Acoustic data ,Mobile device ,030217 neurology & neurosurgery ,030304 developmental biology ,Data Article - Abstract
All mobile devices include a microphone that can be used for acoustic data acquisition. This article presents a dataset of acoustic signals related to nine environments, captured with a microphone embedded on off-the-shelf mobile devices. The mobile phone can be placed in the pants pockets, in a wristband, over the bedside table, on a table, or on other furniture. Data collection environments are bar, classroom, gym, kitchen, library, street, hall, living room, and bedroom. The data was collected by 25 individuals (15 men and 10 women) in different environments around Covilha and Fundao municipalities (Portugal). The microphone data was sampled with 44,100 Hz into an array with 16-bit unsigned integer values in the range [0, 255] with a 128 offset for zero. The dataset presented in this paper presents at least 2000 samples of 5 s of data for each environment, corresponding to around 2.8 h for each environment into text files. In total, it includes at least 25.2 h of acoustic data for the implementation of data processing techniques, e.g., Fast Fourier Transform (FFT), and other machine learning methods for the different analysis.
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- 2021
45. Meta-Intelligence: Understanding, Control, and Interactivity between Creative, Analytical, Practical, and Wisdom-Based Approaches in Problem Solving
- Author
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James C. Kaufman, Robert J. Sternberg, Vlad Petre Glaveanu, Sareh Karami, David D. Preiss, and Shane N. Phillipson
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wisdom-based skills and attitudes ,meta-intelligence ,Computer science ,constraint ,Cognitive Neuroscience ,media_common.quotation_subject ,Control (management) ,practical skills and attitudes ,creative skills and attitudes ,050109 social psychology ,Experimental and Cognitive Psychology ,Review ,050105 experimental psychology ,Education ,Interactivity ,problem-solving ,Developmental and Educational Psychology ,Settore M-PSI/01 - PSICOLOGIA GENERALE ,0501 psychology and cognitive sciences ,Quality (business) ,intellectual skills and attitudes ,lcsh:Social sciences (General) ,Constraint (mathematics) ,Frame problem ,solutions ,media_common ,Management science ,05 social sciences ,Frame (networking) ,Conceptual basis ,WICS ,systems ,lcsh:H1-99 ,Construct (philosophy) ,analytical skills and attitudes - Abstract
A deeper understanding of the processes leading to problem framing and behind finding solutions to problems should help explain variability in the quality of the solutions to those problems. Using Sternberg’s WICS model as the conceptual basis of problem solving, this article discusses the relations between creative, analytical, practical, and wisdom-based approaches as bases for solutions to problems. We use a construct of meta-intelligence to encompass understanding, control, and coordination between these constructs. We propose that constraints can act at each of three levels—individual, contextual, and interactive. Individual constraints include the metacomponents (executive processes) that underpin each of the four kinds of solutions. Contextual constraints direct which of the four approaches are preferred under what circumstances. Finally, interactive constraints involve individual and contextual constraints directly impacting each other’s actions. The model of meta-intelligence and its functioning helps to explain the variability in the ways that individuals frame problems and, as a consequence, in the solutions that are found. The model of meta-intelligence also helps explain why some solutions to problems are so much more comprehensive, and often better, than others.
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- 2021
46. Stepwise construction of a metabolic network in Event-B: The heat shock response
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Luigia Petre, Usman Sanwal, and Ion Petre
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Computational model ,Computer science ,Computational Biology ,Metabolic network ,020207 software engineering ,Health Informatics ,0102 computer and information sciences ,02 engineering and technology ,computer.software_genre ,Models, Biological ,01 natural sciences ,Computer Science Applications ,Set (abstract data type) ,Consistency (database systems) ,Eukaryotic Cells ,010201 computation theory & mathematics ,Formal specification ,0202 electrical engineering, electronic engineering, information engineering ,Data mining ,Formal verification ,computer ,Heat-Shock Response ,Metabolic Networks and Pathways ,Level of detail ,Abstraction (linguistics) - Abstract
There is a high interest in constructing large, detailed computational models for biological processes. This is often done by putting together existing submodels and adding to them extra details/knowledge. The result of such approaches is usually a model that can only answer questions on a very specific level of detail, and thus, ultimately, is of limited use. We focus instead on an approach to systematically add details to a model, with formal verification of its consistency at each step. In this way, one obtains a set of reusable models, at different levels of abstraction, to be used for different purposes depending on the question to address. We demonstrate this approach using Event-B, a computational framework introduced to develop formal specifications of distributed software systems. We first describe how to model generic metabolic networks in Event-B. Then, we apply this method for modeling the biological heat shock response in eukaryotic cells, using Event-B refinement techniques. The advantage of using Event-B consists in having refinement as an intrinsic feature; this provides as a final result not only a correct model, but a chain of models automatically linked by refinement, each of which is provably correct and reusable. This is a proof-of-concept that refinement in Event-B is suitable for biomodeling, serving for mastering biological complexity.
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- 2017
47. Max–Min Fairness Design for MIMO Interference Channels: A Minorization–Maximization Approach
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Maryam Masjedi, Arman Adibi, Petre Stoica, and Mohammad Mahdi Naghsh
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Signal Processing (eess.SP) ,FOS: Computer and information sciences ,Mathematical optimization ,Optimization problem ,Computer science ,MIMO ,Systems and Control (eess.SY) ,02 engineering and technology ,Interference (wave propagation) ,Electrical Engineering and Systems Science - Systems and Control ,Statistics - Applications ,Matrix (mathematics) ,FOS: Electrical engineering, electronic engineering, information engineering ,FOS: Mathematics ,0202 electrical engineering, electronic engineering, information engineering ,Applications (stat.AP) ,Electrical Engineering and Systems Science - Signal Processing ,Electrical and Electronic Engineering ,Mathematics - Optimization and Control ,Computer Science::Information Theory ,Social and Information Networks (cs.SI) ,Computer Science - Social and Information Networks ,020206 networking & telecommunications ,Covariance ,Stationary point ,Optimization and Control (math.OC) ,Channel state information ,Max-min fairness ,Signal Processing ,Decoding methods ,Communication channel - Abstract
We address the problem of linear precoder (beamformer) design in a multiple-input multiple-output interference channel (MIMO-IC). The aim is to design the transmit covariance matrices in order to achieve max-min utility fairness for all users. The corresponding optimization problem is non-convex and NP-hard in general. We devise an efficient algorithm based on the minorization-maximization (MM) technique to obtain quality solutions to this problem. The proposed method solves a second-order cone convex program (SOCP) at each iteration. We prove that the devised method converges to stationary points of the problem. We also extend our algorithm to the case where there are uncertainties in the noise covariance matrices or channel state information (CSI). Simulation results show the effectiveness of the proposed method compared with its main competitor.
- Published
- 2019
48. Modeling and Control of the Orthogonalization Plants in Textile Industry
- Author
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Dan Selisteanu, Emil Petre, Dan Popescu, and Constantin Marin
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Structure (mathematical logic) ,010407 polymers ,Computer science ,Multivariable calculus ,Linearity ,02 engineering and technology ,Yarn ,021001 nanoscience & nanotechnology ,01 natural sciences ,Industrial and Manufacturing Engineering ,0104 chemical sciences ,Mathematical theory ,Nonlinear system ,Control and Systems Engineering ,Control theory ,Control system ,visual_art ,visual_art.visual_art_medium ,Electrical and Electronic Engineering ,0210 nano-technology ,Orthogonalization - Abstract
The paper addresses the modeling and control of the orthogonalization plants for textile industry. An innovative mathematical theory of the textile yarns correction phenomenon, particularly of the orthogonalization phenomenon is developed, as a ground for obtaining the mathematical model of the controlled plant. It is proven that the mathematical model corresponds to a nonlinear time-varying system with several time-delay variables with 2 inputs and 2 ns outputs, where 2 ns is the number of the slope sensors. The process analysis shows that we have a non-dynamical nonlinearity, which can be separated from the linear dynamical part. The multivariable closed-loop control system and the equivalent closed-loop control structure are developed. Also, a control algorithm which can be implemented on a numerical process computer is obtained.
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- 2019
49. RFI Mitigation for UWB Radar Via Hyperparameter-Free Sparse SPICE Methods
- Author
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Jiaying Ren, Tianyi Zhang, Petre Stoica, Lam H. Nguyen, and Jian Li
- Subjects
Synthetic aperture radar ,Pulse repetition frequency ,Computer science ,Spice ,0211 other engineering and technologies ,02 engineering and technology ,Covariance ,Electromagnetic interference ,law.invention ,Coherent processing interval ,law ,Radar imaging ,General Earth and Planetary Sciences ,Electrical and Electronic Engineering ,Radar ,Algorithm ,Robust principal component analysis ,021101 geological & geomatics engineering - Abstract
Radio frequency interference (RFI) causes serious problems to ultrawideband (UWB) radar operations due to severely degrading radar imaging capability and target detection performance. This paper formulates proper data models and proposes novel methods for effective RFI mitigation. We first apply the single-snapshot Sparse Iterative Covariance-based Estimation (SPICE) algorithm to data from each pulse repetition interval for RFI mitigation and discuss the connection of SPICE to the $l_{1}$ -penalized least absolute deviation ( $l_{1}$ -PLAD) approach. Then, we devise a modified group SPICE algorithm and we prove that it is equivalent to a special case of the $l_{1,2}$ -PLAD method. The modified group SPICE algorithm can be applied to data from a coherent processing interval for effective RFI mitigation. Both the single-snapshot SPICE and the modified group SPICE methods simultaneously exploit the sparsity properties of both RFI spectrum and UWB radar target echoes. Unlike the existing sparsity-based RFI suppression methods, such as the robust principal component analysis algorithm, the proposed methods are hyperparameter-free and therefore easier to use in practical applications. Furthermore, the fast implementation of the SPICE methods is considered by exploiting the special structures of both single-snapshot and multiple-snapshot covariance matrices. Finally, the results obtained from applying the SPICE methods to simulated data as well as measured data collected by the U.S. Army Research Laboratory synthetic aperture radar system are presented to demonstrate the effectiveness of the proposed methods.
- Published
- 2019
50. Source Resolvability of Spatial-Smoothing-Based Subspace Methods: A Hadamard Product Perspective
- Author
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Zai Yang, Petre Stoica, and Jinhui Tang
- Subjects
Rank (linear algebra) ,Computer science ,Covariance matrix ,020206 networking & telecommunications ,02 engineering and technology ,Function (mathematics) ,Positive-definite matrix ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,Identifiability ,Hadamard product ,Electrical and Electronic Engineering ,Algorithm ,Smoothing ,Subspace topology - Abstract
A major drawback of subspace methods for direction-of-arrival estimation is their poor performance in the presence of coherent sources. Spatial smoothing is a common solution that can be used to restore the performance of these methods in such a case at the cost of increased array size requirement. In this paper, a Hadamard product perspective of the source resolvability problem of spatial-smoothing-based subspace methods is presented. The array size that ensures resolvability is derived as a function of the source number, the rank of the source covariance matrix, and the source coherency structure. This new result improves upon previous ones and recovers them in special cases. It is obtained by answering a long-standing question first asked explicitly in 1973 as to when the Hadamard product of two singular positive-semidefinite matrices is strictly positive definite. The problem of source identifiability is discussed as an extension. Numerical results are provided that corroborate our theoretical findings.
- Published
- 2019
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