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Due to the complexity of business ecosystems, the architecture of business ecosystems has not been well discussed in the literature, and modeling or simulation of business ecosystems has been rarely focused. Therefore, this paper proposes a business ecosystem ontology and introduces a methodology for business ecosystem architecture design. The proposed methodology includes five stages: 1) Boundary identification of a business ecosystem; 2) Identification of actors and their roles in the business ecosystem; 3) Identification of actors' value propositions; 4) Identification of interaction between actors; 5) Verification of business ecosystem architecture design. This paper uses the Danish electricity system as an example to introduce the methodology, and use Electric Vehicle home charging as a case study to demonstrate the application of the developed methodology. The case study demonstrates that the proposed methodology is a systematic approach and can be easily applied to any ecosystem architecture design with the five stages, and the designed ecosystem architecture can represent the physical system and business. Several definitions are clarified in the paper, e.g., actor, role, interaction, ecosystem roadmap and expanded/shifted ecosystem, etc. With clear definitions, the proposed methodology provides a visualized, clear structure of behaviors and specifications for a given business ecosystem. [ABSTRACT FROM AUTHOR]

Summary: A device based on perovskite and silicon tandem solar cells is considered as an interesting route to improve cell efficiency further the limit of single junction by keeping the reasonable cost of production. Here, we assess the device performances of CH3NH3PbI3 perovskite as top sub‐cells in tandem solar cells in association with traditional crystalline silicon heterojunction solar cells of various configurations such as monolithic two terminals, four terminals mechanically stacked, and four‐terminal optically coupled perovskite/Si tandem solar cells. Our simulation findings highlight that the suggested architecture design increases the device performance by optimizing the thickness of perovskite. Furthermore, the optimal doping concentration of perovskite (1018 cm−3) has contributed to achieve high tandem efficiencies of various device configurations. [ABSTRACT FROM AUTHOR]

Aircraft landing system is the critical system to ensure the safe approach and landing of aircraft, and how to evaluate the landing system to meet the safety design requirements is one of the important parts of the system design. The basic process of the safety assessment for the civil aircraft is described. Taking the microwave landing system (MLS) as an example, for a given MLS block diagram, the failure condition of complete loss of both sides MLS information is evaluated by the fault tree analysis (FTA) method. The process and method of tree modeling are described in detail. The results show that FTA plays an important role in the design of the system architecture. The FTA and system architecture design are closely combined and feedback each other. Especially when the probability requirements associated with the failure condition cannot be met, the FTA cutset report can find the weaknesses and key parts of the system architecture, so as to take effective measures to complete the optimization design of the system architecture.

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

One of the key elements of precision agriculture is the farm management information system (FMIS) that is responsible for data management, analytics and subsequent decision support. Various FMISs have been developed to support the management of farm businesses. A key artefact in the development of FMISs is the software architecture that defines the gross level structure of the system. The software architecture is important for understanding the system, analysing the design decisions and guiding the further development of the system based on the architecture. To assist in the design of the FMIS architecture, several reference architectures have been provided in the literature. Unfortunately, in practice, it is less trivial to derive the application architecture from these reference architectures. Two underlying reasons for this were identified. First of all, it appears that the proposed reference architectures do not specifically focus on FMIS but have a rather broad scope of the agricultural domain in general. Secondly, the proposed reference architectures do not seem to have followed the proper architecture documentation guidelines as defined in the software architecture community, lack precision, and thus impeding the design of the required application architectures. Presented in this article is a novel reference architecture that is dedicated to the specific FMIS domain, and which is documented using the software architecture documentation guidelines. In addition, the systematic approach for deriving application architectures from the proposed reference architecture is provided. To illustrate the approach, the results of multi-case study research are shown in which the presented reference architecture is used for deriving different FMIS application architectures. [ABSTRACT FROM AUTHOR]

In recent decades, the communication of electronic equipment and physical resources is combined. Internet of Things (IoT) distributes things widely in the network. The IoT is Internet-based pervasive computing, which created significant development in the recent disposition of IoT infrastructures. The IoT infrastructures lead, manage and generate large amounts of data across various applications including environmental, transportation and healthcare monitoring. In this regard, there are salient uncertainties about the use of security concepts that are frequently measured as a major concern of IoT distributed architecture design. This paper mainly focuses on the classification of IoT, novel architecture considering the sensitivity of data, IoT security layers, review of security issues and acclaimed countermeasures. [ABSTRACT FROM AUTHOR]

Industry 4.0 is the latest paradigm of industrial production enabling a new level of organizing and controlling the entire value chain within a product life cycle by creating a dynamic and real‐time understanding of cross‐company behaviors. It is expected to have a considerable impact in the oil and gas (O&G) sector by revolutionizing current predictive maintenance and operation optimization. There are several challenges to be overcome before the Industry 4.0 vision is achieved: a standardized reference architecture, a business model, robust services, and products are all lacking. This paper develops a reference architecture for an intelligent maintenance management system that complies with Industry 4.0 visions and requirements. The industrial needs were derived from stakeholders and use case scenarios using a case study methodology. Systems engineering methods were applied to transfer the needs of the existing maintenance management system into a desired functional architecture. The new and upgraded requirements are predominantly related to advanced data analytics, resulting in new and modified functions within the traditional "Reporting" and "Analyses" modules. A more complex maintenance program is created through interfaces between various enabled data categories (historical records, real‐time measurements of performance and health, expert‐just‐in‐time). The study points to the changes required in the classical O&G maintenance management process to comply with Industry 4.0 vision and requirements. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering (17264073) is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of PARC Pesquisa em Arquitetura e Construção is the property of Universidade Estadual de Campinas - Portal de Periodicos Eletronicos Cientificos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Human intelligence is constituted by a multitude of cognitive functions activated either directly or indirectly by external stimuli of various kinds. Computational approaches to the cognitive sciences and to neuroscience are partly premised on the idea that computational simulations of such cognitive functions and brain operations suspected to correspond to them can help to further uncover knowledge about those functions and operations, specifically, how they might work together. These approaches are also partly premised on the idea that empirical neuroscience research, whether following on from such a simulation (as indeed simulation and empirical research are complementary) or otherwise, could help us build better artificially intelligent systems. This is based on the assumption that principles by which the brain seemingly operate, to the extent that it can be understood as computational, should at least be tested as principles for the operation of artificial systems. This paper explores some of the principles of the brain that seem to be responsible for its autonomous, problem-adaptive nature. The brain operating system (BrainOS) explicated here is an introduction to ongoing work aiming to create a robust, integrated model, combining the connectionist paradigm underlying neural networks and the symbolic paradigm underlying much else of AI. BrainOS is an automatic approach that selects the most appropriate model based on the (a) input at hand, (b) prior experience (a history of results of prior problem solving attempts), and (c) world knowledge (represented in the symbolic way and used as a means to explain its approach). It is able to accept diverse and mixed input data types, process histories and objectives, extract knowledge and infer a situational context. BrainOS is designed to be efficient through its ability to not only choose the most suitable learning model but to effectively calibrate it based on the task at hand.

Background and Objective:Currently, different teaching techniques and methods are used in teaching architectural design. Holding architecture education conferences at the national level shows the attention of experts and researchers to the importance of this issue. In recent years, critical, participatory teaching methods or techniques such as questions and answers to increase student motivation have been considered by researchers and architecture teachers. But holding architectural design courses in a workshop (practical) for many hours, repetition and uniformity of techniques such as one-day sketches, individual and collective corrections, and architectural design training become a tedious task for teachers and students. This becomes a serious challenge for young teachers who do not have enough teaching experience. It seems that game-based teaching method can increase students' motivation and increase their learning rate. In this regard, the purpose of this article is to investigate the effect of game-based education on game learning, participation and students' feelings about the benefits of one (bachelor) architecture design course. Extensive research on architecture education shows the importance of this subject. The main approach of these research studies is student-centered education. Many researchers have emphasized the collaboration between student and teacher. The main goal of these studies is enhancing architecture students’ motivation and learning. Nowadays, there is a support for digital game-based education. Therefore, the goal of this study is investigating the role of game-based education (not only digital games) in enhancing learning, collaboration and the students’ feeling about the usefulness of the subject matter. Methods: Here, the experimental method has been used. Statistical population includes students of architecture design 1-B.A. The sample size is 51 students organized in 3 groups. The game-based method was used in the experimental group. The second group (control group 1) was trained through “project correction with other students as reviewers”. The third group (control group 2) was trained through “individually project correction”. All students were assessed by MBI-SS questionnaire at the beginning and the end of the semester. Findings: The results obtained through comparing the frequency of answers. It was concluded that game-based education through pantomime, verbal games and figural games could have a positive role on enhancing “learning”, “collaboration” and “students’ positive feelings about the architecture education”. Conclusion: The present study, in line with participatory education and teacher-student interaction, showed the effect of game-based education on promoting student motivation. Although in today's world, teaching architecture through computer games is discussed, this research does not limit learning by games to just computer games. Demonstration, speech, writing and drawing games can be included in architectural design education according to the teacher's creativity and the fit of the game with the subject and stimulate students' interest in architectural design and according to the research literature, cause long-term (long-term) learning. ===================================================================================== COPYRIGHTS ©2019 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. =====================================================================================

Cloud-based computation is known as the source architecture of the upcoming generation of IT enterprise. In context to up-coming trade solutions, the Information Technology sections are established under logical, personnel, and physical control, it transfers application software and large database to appropriate data centers, where security and management of database with services are not trustworthy fully. So this process may face many challenges towards society and organizations and that not been well understood over a while duration. This becomes one of the major challenges days today. So in this research, it focuses on security-based data storage using cloud, which plays one of the important aspects bases on qualities of services. To assure user data correctness in the cloud system, a flexible and effective distributed technique with two different salient features was examined by utilizing the token called homomorphic with erasure-coded data for distributed verification, based on this technique it achieved error data localization and integration of storage correctness. Also, it identifies server misbehaving, efficient, and security-based dynamic operations on data blocking such as data append, delete, and update methods. Performance analysis and security show the proposed method is more effective resilient and efficient against Byzantine failure, even server colluding attacks and malicious data modification attacks. [ABSTRACT FROM AUTHOR]

Cooperative vehicles are better able to detect the environment and self-localize than a single vehicle. Cooperative vehicles can quickly cover the entire environment by communicating and cooperating with each other and can also reduce localization and mapping error by merging the cooperative vehicle information from observation and navigation. In this paper, we propose a novel algorithm for an effective solution of navigation and mapping for cooperative vehicles in an unknown environment. We present an improved centralized and collaborative monocular simultaneous localization and mapping (CCM-SLAM) approach. The proposed algorithm can accurately compute the transformation matrix for cooperative vehicle maps and reduce the communication delay, data loss among vehicles and decrease the bandwidth demand. The quaternion and credibility similarity transformation (QC-Sim(3)) method we proposed is used to accurately merge the matched maps and accomplish loop closures. The sending messages at variable frequencies (SMVF) method we proposed and an improved detection and resending lost data (I-DRLD) method we proposed can improve the accuracy of pose estimation. SMVF solves the time-delay problem by sending messages to the vehicles at flexible frequencies while I-DRLD detects and resends the lost data. We also adopt Intra-frame Feature Compression (IFC) to decrease the bandwidth demand in the process of the transmitting data. The experiments demonstrate the superiority of our proposed algorithm compared with the state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Appropriate scaffolds for tissue-engineered bone not only require mechanical strength, but also conditions that promote new bone growth. Bone tissue engineering scaffolds should establish the internal pore structure of the scaffolds and promote new bone growth. Additive manufacturing technology is widely used in the field of bone tissue engineering because it can directly and accurately construct the pore structure in 3D space, ensure internal connectivity of the scaffolds, and directly use biological materials. This paper reviews the development of additive manufacturing technology for bone tissue engineering. The differences between various additive manufacturing technologies are reviewed, with emphasis on the application of new technologies and materials. This paper also reviews the modeling processes used in bone tissue engineering, with emphasis on the optimization of the architectural design to achieve gradient structure and improved porosity and mechanical properties. Finally, this paper summarizes the 3D bioprinting technology that has fluid containing nutrients, matrix, and cells as constituent materials. Current problems and directions for the future development of additive manufacturing technology in the field of bone tissue engineering are also discussed. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid growth of software products, software-intensive system-of-systems (SiSoS) is gradually taking shape in many domains, whilst the existing software systems are considered as constituent systems in the SoS. In this research, smart tourism is considered as a SiSoS, which can provide tourists with a better service by gathering abilities of different software systems. However, in system-ofsystems engineering, architecture design always consumes a large chunk of time and human resources, with the main reason being knowledge barriers between various fields, which means that knowledge cannot be easily transferred across domains. Consequently, the architecture design is a work that relies on subject-matter experts' communication. Therefore, architecture design is a vital challenge in the development of smart tourism SoS. This paper represents a knowledge-driven architecture design method, which contains two parts. On one hand, ontology is applied as the knowledge representation method so that the constituents' information can be visualised in graph format; on the other hand, description logic based inference rules are designed to be combined with creativity to reason potential connections between the tourism constituent systems. The former helps stakeholders and domain experts understand knowledge of different domains, and the latter assists in revealing potential relationships that can be built between the independent constituent systems. Both of them aim to support decision making for architecture design of the smart tourism SoS. Therefore, the proposed novel ontological approach provides a more automatic method for architecture design in the software-intensive smart tourism SoS. The approach is applied and evaluated in a prototype of Jiangsu Tourism SoS as an application scenario. [ABSTRACT FROM AUTHOR]

Human intelligence is constituted by a multitude of cognitive functions activated either directly or indirectly by external stimuli of various kinds. Computational approaches to the cognitive sciences and to neuroscience are partly premised on the idea that computational simulations of such cognitive functions and brain operations suspected to correspond to them can help to further uncover knowledge about those functions and operations, specifically, how they might work together. These approaches are also partly premised on the idea that empirical neuroscience research, whether following on from such a simulation (as indeed simulation and empirical research are complementary) or otherwise, could help us build better artificially intelligent systems. This is based on the assumption that principles by which the brain seemingly operate, to the extent that it can be understood as computational, should at least be tested as principles for the operation of artificial systems. This paper explores some of the principles of the brain that seem to be responsible for its autonomous, problem-adaptive nature. The brain operating system (BrainOS) explicated here is an introduction to ongoing work aiming to create a robust, integrated model, combining the connectionist paradigm underlying neural networks and the symbolic paradigm underlying much else of AI. BrainOS is an automatic approach that selects the most appropriate model based on the (a) input at hand, (b) prior experience (a history of results of prior problem solving attempts), and (c) world knowledge (represented in the symbolic way and used as a means to explain its approach). It is able to accept diverse and mixed input data types, process histories and objectives, extract knowledge and infer a situational context. BrainOS is designed to be efficient through its ability to not only choose the most suitable learning model but to effectively calibrate it based on the task at hand. [ABSTRACT FROM AUTHOR]

In recent years, neural network based image priors have been shown to be highly effective for linear inverse problems, often significantly outperforming conventional methods that are based on sparsity and related notions. While pre-trained generative models are perhaps the most common, it has additionally been shown that even untrained neural networks can serve as excellent priors in various imaging applications. In this paper, we seek to broaden the applicability and understanding of untrained neural network priors by investigating the interaction between architecture selection, measurement models (e.g., inpainting vs. denoising vs. compressive sensing), and signal types (e.g., smooth vs. erratic). We motivate the problem via statistical learning theory, and provide two practical algorithms for tuning architectural hyperparameters. Using experimental evaluations, we demonstrate that the optimal hyperparameters may vary significantly between tasks and can exhibit large performance gaps when tuned for the wrong task. In addition, we investigate which hyperparameters tend to be more important, and which are robust to deviations from the optimum.

Aim of this study is to analyse the performance of the pharmacist and the wellbeing of the patients on the actual pharmacy layout (in retail pharmacies in Pristina, Kosovo) and recognize the modifications that need to be done in architectural design of pharmacies, in improving the quality of care, communication, decrease of the dispensing errors and providing more private spaces to patients. Retail pharmacies are more complex environment as in the same time besides being health care institution are also a retail business environment, therefore there is a need for a more comprehensive analysis regarding the workflow. The mixed methodology has been used, by employing questionaries’ as quantitative method and empirical study of direct observation and interviews as qualitative means. The layout proposals are not envisioned to be implemented as a retail models, but, as ideas to provoke and encourage discussion. Kosovo retail pharmacies are a fast growing market and as such functioning self-sufficiently, which means that they can easily adapt to the local marketplace circumstances and cultural context. It is important for the retail pharmacies to test out the recommendations and challenge its environment in aim of equally maximize productivity and workflow, by keeping incorrectness to a minimum.

Background and Objectives:Architecture training is to enable students to create three-dimensional spaces for human activities or to provide a better environment for human societies. Today, a wide range of different activities in the fields of skills, industry, creativity, knowledge, wisdom, are under the general title of "architectural education" in the schools of architecture. Typically, the curriculum in contemporary architecture schools is a set of basic courses that develop design knowledge, technology courses that develop the scientific formation of architecture; art courses to express architecture and finally design courses, which is a combination of the previous three and is the defining part of design education. The necessity of mathematics education and application of its concepts in architectural design is among major concerns of educational programs in universities and contemporary educational institutions. In architectural education in Iran, mathematics is delivered through traditional methods and independent from design practical courses. Moreover, mathematics is considered as a secondary course or sometimes an intricate problem in education. Professors of architecture always point to difficulties of students in understanding mathematical concepts and their application in structural design process. Methods and Materials: Therefore, the present study tries to compare the degree of attention to mathematics in architectural curricula in selected universities abroad and in Iran in order to provide a comprehensive knowledge regarding the place of mathematics in the curricula of these countries and prepare the ground for the development of an appropriate educational program incorporating mathematics in architectural education curriculum in our country. Findings: Comparative analysis of mathematics role in curricula of different universities and its targets via applied analytical-descriptive research method suggests that average mathematical courses provided in US architectural schools during the training course is 3%, in Asian countries 2.2% and in Iran 1.7%. The results emphasize the coordination of mathematical teaching methods with modern developments in design process and show that it entails mathematical knowledge delivered in the format of combined independent courses as preliminary, applied, technological and design. Conclusion: Mathematics courses and their teaching in architecture must be in line with new developments in the design process. This issue requires the definition of new courses in the field of mathematical application in architecture, mathematical history in architecture, as well as combined courses to transfer mathematical knowledge to design workshops. The subject of mathematics courses as independent preparation and basic courses for engineering students with the content of calculus, mathematics or their combination should be revised. This will give a new definition to the nature of the relationship between architecture and mathematics, as the role of mathematics in design was a priority in the Middle Ages. Considering the design workshop as the core of the architecture education program in the first and second academic year with an average of 40-36 credits per year, it is necessary to apply and new meaning of mathematics in introductory design workshops in two analytical-logical and structural concepts. Pay attention.

The manufacturing and assembly of components within cells have a direct impact on the sample performance. Conventional processes restrict the shapes, dimensions, and structures of the commercially available batteries. 3D printing, a novel manufacturing process for precision and practicality, is expected to revolutionize the lithium battery industry owing to its advantages of customization, mechanization, and intelligence. This technique can be used to effectively construct intricate 3D structures that enhance the designability, integrity, and electrochemical performance of both liquid- and solid-state lithium batteries. In this study, an overview of the development of 3D printing technologies is provided and their suitability for comparison with conventional printing processes is assessed. Various 3D printing technologies applicable to lithium-ion batteries have been systematically introduced, especially more practical composite printing technologies. The practicality, limitations, and optimization of 3D printing are discussed dialectically for various battery modules, including electrodes, electrolytes, and functional architectures. In addition, all-printed batteries are emphatically introduced. Finally, the prospects and challenges of 3D printing in the battery industry are evaluated., (© 2023 Wiley-VCH GmbH.)

Today, more and more instruments and equipment assets are used in teaching and scientific research in universities, and large-scale instruments and high-end equipment have become more common. However, the way of asset management is still centralized system management, which only has simple storage and query functions. This will lead to repeated construction of instruments and equipment, idle assets, unable to share and disjointed management, and so on. Block chain technology, as a kind of decentralized Internet technology, has many advantages such as information security, open sharing and management cost saving. This paper explores the problems existing in the process of block chain technology and asset management in order to improve the way, method and work of asset management with the help of block chain technology to solve the current asset management process encountered in the security, efficiency, cost and lack of trust and other issues. [ABSTRACT FROM AUTHOR]

Suspension plasma spraying (SPS) as a relatively new spraying technology has great potential on depositing high performance thermal barrier coatings (TBCs). In some cases, however, columnar SPS TBCs show premature failure in thermal cycling test. To explain the reasons of such failure, a failure mechanism for columnar SPS TBCs was proposed in this work. The premature failure of TBCs might be related to the radial stresses in the vicinity of top coat/bond coat interface. These radial stresses were introduced by the thermal misfit and the roughness of bond coat. According to this mechanism, two architecture designs of SPS TBCs were applied to improve the thermal cycling lifetime. One was a double layered top coat design with a lamellar atmospheric plasma sprayed (APS) sub-layer and a columnar SPS top-layer. The other one was a low roughness bond coat design with a columnar SPS top coat deposited on a low roughness bond coat which was grinded before the spraying. With both designs, lifetimes of SPS TBCs were significantly extended. Especially, a lifetime even better than conventional APS TBCs was achieved with the double layered design. [ABSTRACT FROM AUTHOR]

Smart farming adopts advanced technology and the corresponding principles to increase the amount of production and economic returns, often also with the goal to reduce the impact on the environment. One of the key elements of smart farming is the farm management information systems (FMISs) that supports the automation of data acquisition and processing, monitoring, planning, decision making, documenting, and managing the farm operations. An increased number of FMISs now adopt internet of things (IoT) technology to further optimize the targeted business goals. Obviously IoT systems in agriculture typically have different functional and quality requirements such as choice of communication protocols, the data processing capacity, the security level, safety level, and time performance. For developing an IoT-based FMIS, it is important to design the proper architecture that meets the corresponding requirements. To guide the architect in designing the IoT based farm management information system that meets the business objectives a systematic approach is provided. To this end a design-driven research approach is adopted in which feature-driven domain analysis is used to model the various smart farming requirements. Further, based on a FMIS and IoT reference architectures the steps and the modeling approaches for designing IoT-based FMIS architectures are described. The approach is illustrated using two case studies on smart farming in Turkey, one for smart wheat production in Konya, and the other for smart green houses in Antalya. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper presents a software architecture that supports fast channel change in digital video broadcasting-satellite/cable/terrestrial (DVB-S/C/T) set top boxes (STBs). Long channel zapping time issue has first been addressed in the context of IPTV STBs, where it presented an obstacle for successful commercialization of the IPTV. In DVB-S/C/T, the channel zapping time has not been in the focus so much, but with the development of tuners and with the appearance of STB boards with more tuners and decoders, the conditions have been met for its further reduction. The aim is to improve the user’s quality of experience. The properties of our architecture have been discussed both with respect to resource management and to efficient processing of callbacks and notifications. The experimental results show the reduction of channel zapping time from about 2.6 s to less than 700 ms on the average. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Multi-Knowledge Electronic Comprehensive Journal For Education & Science Publications (MECSJ) is the property of Multi-Knowledge Electronic Comprehensive Journal For Education & Science Publications (MECSJ) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract The fabrication of carbon nanotubes (CNTs)-reinforced copper matrix composites with excellent performances is a challenging task because of the weak interfacial bonding between CNTs and copper matrices. In the present work, an alloying element—titanium—was intentionally added to the bonding interfaces of laminated CNTs/Cu composites via the flake powder metallurgy method. Due to the in situ formed intermediate layer of TiC and Cu 3 Ti particles, the interfacial bonding of the composites was significantly improved. In combination with the architecture design, the locally alloyed 0.2 wt% CNTs/Cu-0.5Ti composite exhibits both improved ultimate tensile strength (407 ± 22 MPa) and ductility (9.7%) compared with the unalloyed composite containing the same CNT concentration. Since titanium was locally added solely to the interface, the inclusion of titanium had a negligible effect on the lattice parameters of the copper matrix, and the electrical conductivities of the bulk composites were maintained at a relatively high level. [ABSTRACT FROM AUTHOR]

While cloud computing has brought paradigm shifts to computing services, researchers and developers have also found some problems inherent to its nature such as bandwidth bottleneck, communication overhead, and location blindness. The concept of fog/edge computing is therefore coined to extend the services from the core in cloud data centers to the edge of the network. In recent years, many systems are proposed to better serve ubiquitous smart devices closer to the user. This article provides a complete and up-to-date review of edge)oriented computing systems by encapsulating relevant proposals on their architecture features, management approaches, and design objectives. [ABSTRACT FROM AUTHOR]

More physical qubits and qubit connections integrated on a superconducting quantum processor can improve the ability to execute quantum programs, but on the other hand, they might increase the probability of frequency collisions. Considering a performance and frequency collisions trade-off, it is a feasible method to optimize processor architecture aiming at running specific quantum programs. To this end, we propose a method for designing superconducting quantum processor architectures for the purpose of running specific quantum programs. Different from existing methods, our method is mainly based on graph theory to optimize processor architecture design. First, we convert the trade-off problem into the optimization of the distance between two points as well as the maximum degree in the processor architecture graph. Second, we consider the actual physical routing constraints and build a mathematical model for the optimization problem. Finally, we propose an automatic processor architecture design flow based on the mathematical model, which is implemented with an improved genetic algorithm. To show the effectiveness of our method, we selected sixteen quantum programs with different qubit numbers and different functions for comparison. Simulation results show that the architecture schemes of our method outperform IBM's general-purpose square lattice architecture schemes. Compared to the general-purpose architecture schemes, the architecture schemes of our method have an average performance improvement of 15.61% and a minimum reduction of 21.33% in the probability of frequency collisions. Furthermore, in most of the selected quantum programs, our architecture schemes perform better than the eff-5-freq's architecture schemes, with an average 6.58% improvement in performance and a minimum 6.45% reduction in the probability of frequency collisions. Therefore, our method can provide superconducting quantum processor architecture design with better performance and lower probability of frequency collisions for quantum programs. [Display omitted] • A novel superconducting quantum processor architecture design method based on graph theory is proposed. • The proposed method solves the trade-off between the performance and frequency collisions of superconducting quantum processor. • The proposed method outperforms the IBM's general-purpose square lattice design schemes and existing good design method's schemes. [ABSTRACT FROM AUTHOR]