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2nd ieee International conference on Image Processing and computer Applications, ICIPCA 2024

作者： Wang, Liyan Institute of Civil Engineering Shandong University of Engineering and Vocational Technology Jinan China

ISBN: (纸本)9798350360240

This paper studies the intelligent aided decision making based on Web and building information modeling. Then, based on the network global information network and functional components, this paper builds a network BIM platform. Then, the new idea of energy cost increase control based on life cycle of prefabricated buildings is studied. By analyzing the cost increase of the whole process of prefabricated house construction, the corresponding increment index is obtained. The project cost is predicted by using grey system method based on the building information model. By integrating the increment index with the cost growth index, a dynamic model of cost growth is established. By using this model, the correlation rules among various cost growth indices are obtained. This method is improved to control the increase of energy consumption cost in the whole construction process. The decision results of this method are verified from the perspectives of shock resistance and value index. It is proved that the theory and algorithm proposed in this project are feasible. © 2024 ieee.

关键词： artificial neural network building structure selection intelligent decision support Prefabricated building Web-BIM

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Defense Against On-Chip Trojans Enabling Traffic Analysis Attacks Based on Machine Learning and Data Augmentation

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ieee TRANSACTIONS ON computer-aided design OF INTEGRATED CIRCUITS AND systemS 2023年第12期42卷 4681-4694页

作者： Dhavlle, Abhijitt Ahmed, M. Meraj Mansoor, Naseef Basu, Kanad Ganguly, Amlan Dinakarrao, Sai Manoj Pudukotai George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA Rochester Inst Technol Comp Engn Dept Rochester NY 14623 USA Minnesota State Univ Mankato Comp Informat Sci Dept Mankato MN 56001 USA Univ Texas Dallas Elect & Comp Engn Dept Richardson TX 75080 USA George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA

Modern computing systems involve huge data exchange across various sections of the processing system. To facilitate this, network-on-chip (NoC) serves as a crucial infrastructure that connects the processing cores to memory, peripherals, etc. The system could be put at great risk should the NoC system become compromised. The NoCs are used in multi/manycore processors;this domain is experiencing increased threats because of hardware Trojan (HT) embedded in the multicore processing systems due to the presence of third-party entities in the system-on-chip (SoC) design pipeline. Protecting user and system level privacy becomes important in such multi core systems to enable trust. By embedding an HT in an NoC, the adversary can snoop on important insights regarding the applications executing on the system or the user profile information. An attack of such calibre can compromise privacy, thereby enabling more advanced attack on the entire system. This work demonstrates the capability of a traffic analysis attack when a few HTs are embedded in the NoC switches of a multi/many-core processor. The attack is capable of exposing sensitive information to an external malicious attacker who can then analyze the payload data with sophisticated machine learning (ML) techniques to infer the applications executing on the system. We also evaluate the performance of a generative adversarial network (GAN) strengthened attacker model that offers more robustness for data paucity scenarios. We propose a simulated annealing-based randomized routing algorithm based defense for NoCs, thus thwarting the attack. The results demonstrate that the proposed randomized routing algorithm could reduce the accuracy of identifying user profiles by the attacker from >98% to <15% in multi/many-core systems.

关键词： Routing Data models Trojan horses Machine learning Traffic control Payloads Hardware Artificial neural networks Data augmentation Generative adversarial networks Network-on-chip Artificial neural network (ANN) data augmentation generative adversarial network (GAN) hardware trojan (HT) machine learning (ML) network-on-chip (NoC) obfuscation routing security

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design of a 16-Bit Power-Efficient Posit Multiplier with Selective Activation and Modified Radix-4 Booth Multiplier 6

Design of a 16-Bit Power-Efficient Posit Multiplier with Sel...

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6th International conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Adinarayana, T.V.S. Rajesh, G. Reddy, Yashasvi Linga Yadav, Vishwass R. Gandla, Srinivas Abhinay New Horizon College of Engineering Bangalore India

ISBN: (纸本)9798331522667

The Posit number system presents a more flexible and precise alternative to the traditional ieee 754 floating-point format, but its inherent complexity, particularly in multiplication, can lead to high power consumption in hardware implementations. This research proposes a power-efficient design for a 16-bit Posit multiplier that uses a modified Radix-4 Booth algorithm to selectively activate only the necessary sections of the multiplier based on the required bit-width for the mantissa. By minimizing unnecessary computations and switching activities, the design reduces dynamic power consumption. The architecture includes components such as the mantissa multiplication unit, normalization stage, and rounding unit, all optimized for efficiency. Simulation results using Xilinx Vivado confirm the functionality of the design, while power and area analysis on the Xilinx Artix-7 FPGA demonstrate its efficiency compared to existing implementations. The proposed design is suitable for low-power applications and offers significant improvements in both power consumption and area utilization. © 2025 ieee.

关键词： Power systems computer aided design

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computer aided design of Nonlinear systems' Emulators with Analog Circuit

Computer Aided Design of Nonlinear Systems' Emulators with A...

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2024 Panhellenic conference on Electronics and Telecommunications, PACET 2024

作者： Kafetzis, Ioannis Volos, Christos Nistazakis, Hector Stouboulos, Ioannis Aristotle University of Thessaloniki Laboratotry of Nonlinear Systems Circuits and Complexity Department of Physics Greece National and Kapodistrian University of Athens Section of Electronic Physics and Systems Department of Physics Greece

ISBN: (纸本)9798350318845

Circuit design constitutes a pillar of electronics, essential for both educational and research purposes. design of system's analog emulator is specially crucial in the field of nonlinear dynamics and chaos, as it allows the verification of theoretical results and also enables the implementation of the system in hardware engineering applications. Until now, researchers had to manually design and tune parameters of such emulators by hand. In this direction, this work introduces a novel application that given a system of nonlinear, polynomial differential equations, automatically designs an electronic circuit emulator of the system. Key focus points of the designed application are the efficient design, that is, avoiding unnecessary use of circuit components, and the readability of the results. Feasibility of the method is investigated by obtaining and analyzing the results for a 4dimensional nonlinear system. © 2024 ieee.

关键词： Nonlinear systems

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Power system Stabilizers’ design Through The Eigensystem Realization Algorithm

Power System Stabilizers’ Design Through The Eigensystem Re...

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2024 ieee PES Generation, Transmission and Distribution Latin America conference and Industrial Exposition, GTDLA 2024

作者： Alejandro Zaragoza-Luquín, M. Gutierrez-Calvillo, Karen Dominguez-Navarrete, Reynaldo Javier Ruiz-Hernandez, F. Pérez-Rojas, Carlos Paternina, M.R.A. Zamora, A. Universidad Michoacana de San Nicolas de Hidalgo Morelia Mexico UNAM Mexico City Mexico

ISBN: (纸本)9798331530549

This paper proposes an alternative way of designing multiple power system stabilizers (PSSs) for damping electromechanical modes. The approach is based on a system identification method that allows the computation of the first-order sensitivities of the eigenvalues of power system linear models. Thus, the eigensystem realization algorithm (ERA) is used to identify the power system linear model. This proposal derives a state-space representation using power system measurements to compute the power system eigenvalues and their residues for designing a single PSS for damping one mode or coordinated multiple PSSs for damping several modes. The attained results in two benchmark systems, Kundur and the New England transmission system-New York power system (NETS-NYPS), demonstrated the effectiveness of the proposed strategy in improving the dynamic response and power system stability for damping one or several electromechanical modes in large power systems, reaching stable behaviors in less than 2s and 7s for the Kundur and NETS-NYPS grids, respectively. © 2024 ieee.

关键词： Power systems computer aided design

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Research on Adaptive control and Optimal Scheduling Algorithm under Mixed Energy Architecture of Data Center 7

Research on Adaptive Control and Optimal Scheduling Algorith...

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7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Zhang, Wancai Xia, Xuwei Zhang, Nan Yang, Wenqing Mu, Jun Wang, Tao State Grid Electric Power Research Institute Co. Ltd. Nanjing China Electric Power Research Institute of State Grid Ningxia Electric Power Co. Ltd. Yinchuan China

ISBN: (纸本)9798350350760

An approximate dynamic programming optimization scheduling strategy combining independent microgrid day-ahead scheduling system and adaptive weighted sum algorithm is proposed. The strategy aims to minimize energy consumption and maximize energy utilization efficiency of data centers through intelligent control means. Firstly, this paper designs a day-ahead scheduling system of an independent micro-grid, which can integrate a variety of energy inputs, including solar energy, wind energy, traditional grid power supply and energy storage equipment, to ensure the stability and reliability of the energy supply of data centers. Secondly, the adaptive weighted sum algorithm is introduced, which can dynamically adjust the proportion of each energy input according to the changes of real-time energy market price and environmental conditions, so as to achieve the optimization of energy cost. Finally, through the approximate dynamic programming algorithm, the adaptive ability of the system is further improved, so that it can automatically learn and optimize the scheduling decision in the complex and changeable energy environment. In order to verify the effectiveness of the proposed strategy, a system simulation experiment is carried out. The experimental results show that compared with the traditional fixed scheduling strategy, the proposed adaptive control and optimal scheduling algorithm can significantly reduce the energy cost of data centers, and improve the flexibility and response speed of energy use. ©2024 ieee.

关键词： Scheduling algorithms

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Real Time Modeling and control Algorithm of a Grid-Connected Battery Energy Storage system

Real Time Modeling and Control Algorithm of a Grid-Connected...

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2025 ieee Texas Power and Energy conference, TPEC 2025

作者： Karimi, Sepehr Nazaralizadeh, Solmaz Srivastava, Anurag Salem, Aboubakr Famouri, Parviz West Virginia University Lane Department of Computer Science and Electrical Engineering Morgantown United States WVU-IT Electrical and Computer Engineering Dept. Beckley United States PCS Eaton PittsburghPA United States

ISBN: (纸本)9798331541125

This work develops real time model and associate control for a grid-tied battery energy storage system (BESS), based on the real industrial system specifications, 362kW/1499kWh lithium-ion BESS. An active and reactive power controller based on the dq reference frame is designed for the grid-tied inverter. To ensure system performance, an LCL filter with passive damping is also developed and analyzed. The system is tested using the controller Hardware-in-the-Loop (CHIL) platform: Typhoon. The results demonstrate the controller's effective reference tracking across varying load conditions, with the filter design achieving a 3.3% output current THD, emphasizing the inverter's optimized performance. © 2025 ieee.

关键词： Battery storage

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Automatic Lighting control and IoT Monitoring on an Indoor-Greenhouse 18

Automatic Lighting Control and IoT Monitoring on an Indoor-G...

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ieee 18th International conference on Automation Science and Engineering (ieee CASE)

作者： Contreras, C. Begovich, O. Cinvestav Guadalajara Zapopan Jalisco Mexico

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

The aim of this study is the design and implementation of an automated lighting system to compensate the necessary illumination of a hydroponic indoor-greenhouse in spaces with low illumination. The proposed system implements the Kalman Filter for noise reduction and an anti-windup PID tuned with PSO to reach a desired value of illumination in face of illuminance changes. In addition, an IoT web interface for monitoring the current illumination on plants is implemented, which shows a plot of the illumination throughout the day.

关键词： computer aided software engineering Noise reduction Metaheuristics Lighting Crops Greenhouses Lighting control

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design of Distributed Simulation Operation and Maintenance Management system Based on Artificial Intelligence 4

Design of Distributed Simulation Operation and Maintenance M...

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4th ieee International conference on Power, Electronics and computer Applications, ICPECA 2024

作者： Meng, Yibo Hong, Dehua Zhang, Min Li, Ming Chai, Wujun Li, Bin State Grid Anhui Electric Power Co. Ltd. Information and Communication Branch Hefei China

ISBN: (纸本)9798350359589

Operation and maintenance system is an important platform to support the deployment, operation and evaluation of distributed simulation system. The operation monitoring tool is to manage the simulation node, control the operation process, feedback the operation results, and evaluate the operation effect. Then this paper mainly describes the composition of the operation management system. Through the research of distributed simulation test, a distributed simulation test management platform based on virtual instrument is proposed. The corresponding design ideas are given based on its functional requirements. The architecture, module composition and overall working process of the system are described. The working mechanism, design and implementation of node management, auxiliary analysis, instruction management and condition monitoring are analyzed. Multi-dimensional multi-source heterogeneous fault data are used as training samples to achieve automatic detection of equipment operating conditions. Reinforcement learning theory is applied to equipment fault diagnosis to achieve automatic judgment of test data, so as to establish the active early warning mechanism of equipment. © 2024 ieee.

关键词： Artificial intelligence deep learning distributed simulation system equipment operation and maintenance system multi-source heterogeneous data

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Proceedings - 2024 International conference on Power, Electrical Engineering, Electronics and control, PEEEC 2024

Proceedings - 2024 International Conference on Power, Electr...

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2024 International conference on Power, Electrical Engineering, Electronics and control, PEEEC 2024

ISBN: (纸本)9798350378917

The proceedings contain 228 papers. The topics discussed include: network security threat prevention and control system for wind farm power monitoring system;analysis of electrical automation transformation model based on Matra offset algorithm;digital design of power supply based on three-level regulation;power system visualization enhancement technology guided by force-oriented algorithms;design and implementation of a green supply chain management system for the power industry;discussion on computer-aided automatic generation of distribution network dispatching operation tickets for load transfer, power outage, and power restoration in power dispatch;research on application of digital twin technology in optimal control of distributed new energy system;and application analysis of clustering improvement algorithm in cost evaluation of power engineering.

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