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Software Defined Networking and other more sophisticated network infrastructure management have improved network programmability, flexibility, and cost-effectiveness over traditional approaches. By separating the network into layers, Software Defined Networking (SDN) technology simplifies network management. SDN networks are physically dispersed but logically centralized. Due to its fragmented structure, SDN is susceptible to different types of attacks. Distributed denial of service (DDoS) attacks is particularly problematic. The Controller is the main target of the attackers; once the Controller is affected, the entire network will shut down. Due to the prevalence of fake IP addresses, detecting DDoS attack traffic on SDN is more challenging. Therefore, effective and precise DDoS attack detection on the SDN is essential. This paper proposes a DDoS attack detection model on SDN leveraging the LightGBM-DDoS algorithm. The LightGBM-DDoS algorithm was benchmarked with XGBoost, Logistic Regression and K-Nearest Neighbours. The experimental results demonstrate that LightGBM-DDoS is superior to other approaches, with an accuracy rate, detection rate, F1-score, and error rate of 0.9972, 0.9940, 0.9970, and 0.0060, respectively. [ABSTRACT FROM AUTHOR]

Thermoacoustics instability is one of the factors that limits the operational range of gas turbines. Both active and passive control strategies have been developed to suppress thermoacoustic instability. Active control strategies can adapt to the operational condition of the gas turbine and hence providing a wider effectivity compared to the passive control strategies. However, it remains a challenge on how to best optimize the control parameters. In this work, we propose an adaptive control strategy by using Gaussian Process Regression with a modified Safe-Optimization (SafeOpt) algorithm. The main benefit of the algorithm is it can safely explore the parameter space and minimizing the cost function simultaneously. The performance of the algorithm in suppressing the thermoacoustic instability is experimentally demonstrated by stabilizing a turbulent combustor with loudspeakers actuation equipped with a gain-delay (n-τ) controller. It is found that the proposed algorithm can safely optimize both n and τ parameter in under 20 iterations. The final iteration is then fed to the ordinary Extremum Seeking Controller (ESC) to further optimize the parameters around the optimum point. [ABSTRACT FROM AUTHOR]

Due to the special use requirements of university libraries, the requirements for indoor acoustic environment quality are relatively high. By investigating the layout and structural design of the library on the Wushan campus of South China University of Technology, distributing questionnaires to users and conducting on-site monitoring, fiunally finded out the noise problems of the library, such as the sound of connecting the upper and lower floors, noise of friction with the ground when walking, keyboard tapping, moving seats, flipping and rummaging books, air conditioning and ventilation equipments, near the toilet and the elevator was noisy, moreover, the actual measurement of the sound level meter showed that the noise of reading area exceeded 40dB (JGJ 38-2015 Code for Design of Library Buildings stipulates that the noise limit of the library reading area is 40dB). Based on the above problems, the corresponding optimization measures were put forward, in order to provide technical references for the design and transformation of the acoustic environment of other domestic university libraries. [ABSTRACT FROM AUTHOR]

Over the past two decades, acoustic testing for the space industry has evolved from the ubiquitous reverberant chambers to using loudspeakers in what has been defined as Direct Field Acoustic Testing (DFAT). The initial need was to create a versatile system to provide a portable test facility to qualify space hardware on site as opposed to going to a dedicated test facility. Since that initial test carried out by MSI in the late '90s, equipment and control strategies have improved, and today it is possible to create an acoustic field with DFAT® which is very similar to that of a reverberant chamber and with even more control capability at low frequencies. Using a Multi-Input-Multi-Output (MIMO) control strategy has solved many of the initial issues. However, unlike tests in reverberant chambers, the acoustic field produced in a DFAT® test is dependent on the parameters used by the controller, its specific technology, and the whole sound generation system. This paper attempts to provide a qualitative overview and insight into the acoustic field generated by a set of loudspeakers around a test item. Focus is placed on the degree to which a test field approximates a diffuse field as this is a characteristic that is linked to the structural response of the device under test. [ABSTRACT FROM AUTHOR]

The benefits and application potentials of artificial intelligence in controlling are widely known. Contrary to expectations, an in-depth interview study of Austrian industrial companies shows that the use of AI in controlling is only just beginning. In order to make controllers fit in this area, in-depth knowledge channels are required. In addition, several other aspects need to be considered for implementation. This paper presents the results of a qualitative pilot study from Austria on the use of artificial intelligence in the controlling departments of Austrian industrial companies. [ABSTRACT FROM AUTHOR]

Copyright of International Conference on Applied Business & Management is the property of ISAG: European Business School 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.)

In recent years, fuzzy logic has presented good performance in control engineering applications where mathematical models are unknown or are not crucial for the design of controllers to mechanical systems since the controller is compounded by a series of inferences and labels that describes how the system must react when it faces decompensations. In this paper, a new approach for a fuzzy logic-based controller (FLBC) is presented to control the position of a cart in a linear plant made up of a DC motor coupled to a shaft connected to the rail cart. The FLBC is designed from two linguistic variables as inputs, with seven linguistic values related to 49 control rules. The fuzzification stage presents trapezoidal and triangular membership functions, whereas the output contains singletons in well-defined positions. The control signal is generated by the relation between the setpoint and the feedback signal. The FLBC algorithm is developed on an ATMEGA2560 embedded system using C++, but it can be programmed in any language due to no fuzzy library is being used. [ABSTRACT FROM AUTHOR]

The purpose of thiswork is to improve thewind turbine power by taking into consideration the variation ofwind speed. This paper compares three different speed control systems; the PI controller, the PI with anticipation, the PD controller (phase advance controller), and a MPPT; maximum power point tracking strategy. The results show that the Proportional-Integral controller outperforms the other controllers. [ABSTRACT FROM AUTHOR]

A new material testing reactor Jules Horowitz Reactor is under construction at CEA Cadarache. The materials to be irradiated will be placed into experimental devices around the reactor. Process and measurements of experimental devices will be carried out by command control. A data acquisition system having processing performances will be associated to the programmable logic controller. The challenge is to design and realize for twenty experiment devices a high availability data acquisition system architecture for 50 years of sustainability. The real time target will achieve 24/7 data acquisition and real time processing. This scalable architecture could be use as well for JHR experimental devices with high availability as for testbed. This architecture could be run on a standalone station for a measuring bench or deployed on cluster for high availability. CAREDAS's design is modular and use proven widely used open source solutions. All parts are independent from each other and can be replaced with another technology with the same functionalities. This ensures sustainability and control of software sources. [ABSTRACT FROM AUTHOR]

Variance analysis is a key task of controlling. The quality of this analysis is a key precondition for the manager to make decisions. The task of the controller is to produce analytical reviews of the variances in timely manners. Demi models, which perform variance analysis, are being developed and applied for such reviews. It is important to understand that the Demi model is an analytical comparison of two sets of the same structure. The synergic effects of the partnership between managers and controllers mostly depend on the quality of diagnosis provided by these models. In this paper, we will present two of the most important and complex models of classical deviation analysis: analysis of sales variance and direct material variance analysis. Business result distributions are a plan and a realization. On the basis of such diagnostics, the determination of therapy, which is expressed in the form of a corrective action plan, follows. [ABSTRACT FROM AUTHOR]

Copyright of CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings is the property of Conferencia Iberica de Sistemas Tecnologia de Informacao 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.)

Introduction of the controlling system helps to improve the functionality of companies and the process of decision making as well as to increase the company’s value. For the system of controlling to fully implement its functions, the subject of controlling must be defined; i.e. determine who is responsible for the introduction and functioning of the system and the implementation of strategic and operational tasks in the company. The aim of the study is to analyse and evaluate the position of the subject of controlling in medium-sized companies based on the features of subject’s actions activity level and level of institutionalization. When the subject of controlling based on the subject’s actions activity level was studied, the aim was to examine when might medium-sized companies apply the passive controlling and when the active controlling. Based on the level of institutionalization feature the possibilities of application of self-controlling, institutional controlling and outsourcing/co-sourcing in medium-sized companies were evaluated. The position of the subject of controlling in medium-sized companies was defined after carrying out an analysis of scientific sources, an expert evaluation and a survey of medium-sized companies. The results of the study revealed that taking the number of employees in a medium-sized company and its scope of activity into account, the subject of controlling can be considered as: 1) active controlling which has to be realized through institutional controlling by developing controlling services within finances department; 2) passive controlling which has to be realized through self-controlling by allocating some or all the functions to managers. [ABSTRACT FROM AUTHOR]

In order to fully exploit GPGPU's parallel processing power, on-chip interconnects need to provide bandwidth efficient data communication. GPGPUs exhibit a many-to-few-to-many traffic pattern which makes the memory controller connected routers the network bottleneck. Inefficient design of conventional routers causes long queues of packets blocked at memory controllers and thus greatly constrained the network bandwidth. In this work, we employ heterogeneous design techniques and propose a novel decoupled architecture for routers connected with memory controllers. To further improve performance, we propose techniques called Injection Virtual Circuit and Memory-aware Adaptive Routing. We show that our scheme can effectively eliminate NoC bottleneck and improve performance by 78% on average. [ABSTRACT FROM AUTHOR]

The first mainstream products in 3D IC design are memory devices where multiple memory tiers are horizontally integrated to offer manifold improvements compared with their 2D counterparts. Unfortunately, none of these existing 3D memory cubes are ready for harsh space environments. This paper presents a new memory cube architecture for space, based on vertical integration of Commercial- Off-The-Shelf (COTS), 3D stacked, DRAM memory devices with a custom Radiation-Hardened-By-Design (RHBD) controller offering high memory capacity, robust reliability and low latency. Validation and evaluation of the ASIC controller will be conducted prior to tape-out on a custom FPGA-based emulator platform integrating the 3D-stack. [ABSTRACT FROM AUTHOR]