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Improved Electro Search Algorithm with Intelligent Controller Control System:ESPID Algorithm

Intelligent Automation & Soft Computing 2023年第3期35卷 2555-2572页

作者： Inayet Hakki Cizmeci Adem Alpaslan Altun Akseki Vocational High School Computer Technologies Department Alanya Alaaddin Keykubat UniversityAntalya07425Turkey Computer Engineering Department Selcuk UniversityFaculty of TechnologyKonya42100Turkey

Studies have established that hybrid models outperform single *** particle swarm algorithm(PSO)-based PID(proportional-integral-derivative)controller control system is used in this study to determine the parameters that directly impact the speed and performance of the Electro Search(ESO)algorithm to obtain the global optimum *** algorithm was created by integrating this system with the ESO *** improved ESPID algorithm has been applied to 7 multi-modal benchmark test *** acquired results were compared to those derived using the ESO,PSO,Atom Search Optimization(ASO),and Vector Space Model(VSM)*** a consequence,it was determined that the ESPID algorithm’s mean score was superior in all ***,while comparing the mean duration value and standard deviations,it is observed that it is faster than the ESO algorithm and produces more accurate results than other *** algorithm has been used for the least cost problem in the production of pressure vessels,which is one of the real-life *** results were compared with ESO,Genetic algorithm and *** was found to be superior to other methods with the least production cost value of 5885.452.

关键词： Electro search algorithm intelligent PID optimization multi-optimization

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Beyond Integration: Advancing Electricity Metering with Secure and Transparent Blockchain-IoT Solutions 47

Beyond Integration: Advancing Electricity Metering with Secu...

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47th International Conference on Telecommunications and Signal Processing, TSP 2024

作者： Koštál, Kristian Bahar, Muhammad Nasim Numyalai, Sultan Ries, Michal Institute of Computer Engineering and Applied Informatics Slovak University of Technology in Bratislava Faculty of Informatics and Information Technologies Bratislava Slovakia

ISBN: (纸本)9798350365597

As the demand for reliable and accurate electricity metering escalates in the digital era, traditional systems increasingly need to improve due to their centralized nature, prone to inaccuracies, privacy breaches, and cybersecurity threats. This paper proposes a novel solution that harnesses the transformative power of Blockchain and Internet of Things (IoT) technologies to address these critical challenges. By integrating the immutable ledger capabilities of blockchain with the real-time data acquisition prowess of IoT, we introduce a decentralized system that ensures the secure and transparent measurement and billing of electricity for domestic consumers. Adopting Hyperledger Fabric within our framework offers a robust, scalable architecture that supports secure transactions and enhances trust through digital identities for all participants. This system mitigates the vulnerabilities associated with centralized authorities and efficiently monitors and manages energy consumption with unprecedented precision. Through this approach, we aim to revolutionize the electricity metering infrastructure, providing a blueprint for future advancements in the energy sector. © 2024 IEEE.

关键词： Smart contract

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FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第5期4卷 1041-1050页

作者： Yang, Zhengjie Fu, Sen Bao, Wei Yuan, Dong Zomaya, Albert Y. University of Sydney Faculty of Engineering and Information Technologies School of Computer Science SydneyNSW2006 Australia University of Sydney School of Electrical and Information Engineering SydneyNSW2006 Australia

In this article, we propose and analyze FastSlowMo, a combined Nesterov accelerated gradient (NAG) style worker momentum and aggregator momentum algorithm for federated learning (FL). Existing NAG momentum-based FL algorithms depend on either worker momentum only or aggregator momentum only, which may be inefficient due to infrequent usage of momentum, data heterogeneity, and out-of-date momentum. FastSlowMo combines the advantages of worker momentum and aggregator momentum to address these issues. We then provide mathematical proof for the convergence of FastSlowMo. Finally, extensive experiments based on real-world datasets and trace-driven simulation are conducted, verifying that FastSlowMo decreases the total training time by 3-61%, and outperforms existing mainstream benchmarks under a wide range of settings. © 2020 IEEE.

关键词： Learning systems

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A Novel Inception Deep Learning model for Mobile AI Stroke Prediction system: AI Research and Industry Perspectives for Connected Health 6

A Novel Inception Deep Learning model for Mobile AI Stroke P...

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6th International Conference on Computing and Informatics, ICCI 2024

作者： Elbagoury, Bassant M. Maskeliuans, Rytis Zaghow, Marwa Kamel, Nabil Faculty of Computer and Information Sciences Ain Shams University Computer Science and Artificial Intelligence Programs Egypt Faculty of Computer Science and Engineering King Salman International University KSIU Egypt Kaunas University of Technology Faculty of Informatics Department of Multimedia Engineering Lithuania Dell Technologies EMEA Egypt

ISBN: (纸本)9798350373875

Artificial intelligence technologies for the mobile health and smart hospitals are important, by applying predictive Analytics and Deep Learning algorithms and developing new models. The main objective is applying artificial Intelligence methods in the medical field, especially for heart/brain stroke diseases diagnosis and prediction for emergency patients' cases. Thus, to save patients' lives, also through the integration with IoT and wearable technologies, which are integrated with AI and DL algorithms that help to make sense of bio signals predictive analytics such as biomedical sensors processing. and complex diseases predictions and early detection like heart and stroke diseases. Also dealing with EMG sensors for stroke prediction. Moreover, Intelligent Mobile Health based on our previously introduced project of AI smart hospital and Mobile AI stroke prediction system for connected health and stroke emergencies. In this paper, a new deep learning model has been built and tested for Stroke EMG signal prediction by modifying the Inception-v3 architecture and other deep learning models. Also, this paper compares current results of Mobile AI health Inception model with our previous developed Mobile AI stroke engine that depends on hybrid LSTM deep learning for EMG signals prediction. Both models have achieved high accuracies. Moreover, the inception model is more stable and higher average accuracies that reaches 98%. Moreover, AI research and future industry implementations for Generative AI Dell technologies servers is discussed. © 2024 IEEE.

关键词： Learning systems

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GPR Acquisition Methods Comparison 16

GPR Acquisition Methods Comparison

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16th International Conference on Advanced technologies, Systems and Services in Telecommunications, TELSIKS 2023

作者： Gleich, Dusan Vovk, Marko Smogavec, Primoz Kafedziski, Venceslav Doncov, Nebojsa Faculty of Electrical Engineering and Computer Science Maribor Slovenia Faculty of Electrical Engineering and Information Technologies 1000 Macedonia University of Nis Faculty of Electronic Engineering Nis18000 Serbia

ISBN: (纸本)9798350347029

This paper presents a study for subsurface object detection using different scanning acquisition paths. The air coupled system is considered, which can be easily attached to the unnamed aerial vehicle (UAV). The objective is to determine which acquisition scenario can acquire the largest area of interest. The SFCW radar can generate 200 samples within a frequency range of 500MHz-2.5GHz with pulse repetition interval of 100ms. The TEM antennas are used for transmitting and receiving signals. The following configurations of air coupled GPR are presented: monostatic down-looking and side-looking configurations, bistatic configuration, where antennas were separated for 2 meters, circular configuration with platform rotating along its vertical axis and circular configuration with platform moving along trajectory. The experiments were conducted using a polygon of 3×3×0.5 meters with homogeneous clay structure. Experiments showed that bistatic and circular acquisitions can be used for scanning ground areas of interest between 1 and 1.5 meters, when platform is placed 0.75 m above surface. © 2023 IEEE.

关键词： Landmine detection

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Harmonic Analysis of SEPIC DC-DC Converter 9

Harmonic Analysis of SEPIC DC-DC Converter

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9th Junior Conference on Lighting, Lighting 2024

作者： Vacheva, Gergana Stanchev, Plamen Hinov, Nikolay Technical University of Sofia Faculty of Electronic Engineering and Technologies Departement of Power Electronics Sofia Bulgaria Technical University of Sofia Technology in Industry Faculty of Computer Systems and Technologies Departement of Information Sofia Bulgaria

ISBN: (纸本)9798350352757

In the presented work, a harmonic analysis has been implemented to determine the resonance occurrence node of the Sepic DC-DC converter. The simulation studies were implemented in MATLAB/Simulink. Two cases of transistor conduction are presented. The differential equations for describing the processes in the converter are presented. State space matrices are used to implement harmonic analysis. Simulation studies are obtained and comments are made on the advantages and disadvantages of the methods used. © 2024 IEEE.

关键词： DC-DC converters

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Application of Digital Twins for Design and Operation of a Power Electronic Devices 32

Application of Digital Twins for Design and Operation of a P...

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32nd National Conference with International Participation, TELECOM 2024

作者： Hinov, Nikolay Stanchev, Plamen Vacheva, Gergana Technical University of Sofia Faculty of Electronic Engineering and Technologies Departement of Power Electronics Sofia Bulgaria Technical University of Sofia Faculty of Computer Systems and Technologies Departement of Information Techonology in Industry Sofia Bulgaria

ISBN: (纸本)9798350355000

In recent years, the concept of Digital Twins has gained significant popularity across various industries, including power electronics. This paper explores the application of Digital Twins in the design and operation of power electronic devices. Digital Twins are dynamic virtual replicas of physical systems that enable real-time simulations, optimization, and predictive control of the devices. The main objective of the study is to analyze how the integration of Digital Twins can enhance the design process as well as the operational performance of power electronic devices. By using digital models, engineers can optimize device parameters, predict potential failures, and minimize downtime through preventive maintenance. © 2024 IEEE.

关键词： design Digital Twins operation optimization power electronics preventive maintenance

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Study of the Influence of the Output Capacitor on the Operating Modes of a Buck DC-DC Converter 32

Study of the Influence of the Output Capacitor on the Operat...

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32nd National Conference with International Participation, TELECOM 2024

作者： Vacheva, Gergana Stanchev, Plamen Hinov, Nikolay Technical University of Sofia Faculty of Electronic Engineering and Technologies Departement of Power Electronics Sofia Bulgaria Technical University of Sofia Faculty of Computer Systems and Technologies Departement of Information Techonology in Industry Sofia Bulgaria

ISBN: (纸本)9798350355000

This paper presents a comprehensive study on the impact of the output capacitor on the performance and operating modes of a Buck DC-DC converter. The output capacitor plays a critical role in stabilizing the output voltage and reducing voltage ripple, which directly influences the efficiency, response time, and overall stability of the converter. Through theoretical analysis and experimental validation, this study examines how variations in capacitance affect key performance metrics such as transient response, output ripple, and efficiency under different load conditions. The results provide insights into optimal capacitor selection, balancing output stability with size and cost, and highlight the capacitor's influence on transitioning between continuous and discontinuous conduction modes. These findings can guide designers in choosing appropriate capacitors to improve converter performance for specific applications. © 2024 IEEE.

关键词： Capacitor bank

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Harmonic Analysis of Cûk DC-DC Converter 23

Harmonic Analysis of Cûk DC-DC Converter

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23rd International Symposium on Electrical Apparatus and technologies, SIELA 2024

作者： Vacheva, Gergana Stanchev, Plamen Hinov, Nikolay Technical University of Sofia Faculty of Electronic Engineering and Technologies Departement of Power Electronics Sofia Bulgaria Technical University of Sofia Faculty of Computer Systems and Technologies Departement of Information Technology in Industry Sofia Bulgaria

ISBN: (纸本)9798350382365

In the present paper, a harmonic analysis of a Cuk DC-DC converter is realized. A simulation model was implemented in MATLAB/Simulink. The converter is described using differential equations that are represented in state space. Two scenario of on and off transistor are considered. Simulation results are shown, where it can be observed in which case resonance occurs, which significantly influences the design of the circuit. Main advantages and disadvantages of the selected topology are described. © 2024 IEEE.

关键词： Cuk converter

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Modelling of PV Plant for Supplying of Medium Sized Enterprises 23

Modelling of PV Plant for Supplying of Medium Sized Enterpri...

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23rd International Symposium on Electrical Apparatus and technologies, SIELA 2024

作者： Vacheva, Gergana Borisov, Andrei Hinov, Nikolay Stanchev, Plamen Faculty of Electronic Engineering and Technologies Technical University of Sofia Departement of Power Electronics Sofia Bulgaria Technical University of Sofia Faculty of Computer Systems and Technologies Departement of Information Technology in Industry Sofia Bulgaria

ISBN: (纸本)9798350382365

In current research a photovoltaic plant for supplying medium sized enterprises is studied. In the presented manuscript the main advantages of the proposed system and disadvantages of connecting photovoltaic systems to the distribution network are discussed. Also, the parameters and external influences on the power plant are presented. Data from smart meters for electricity production for a period of 1 year were used. © 2024 IEEE.

关键词： DC distribution systems

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