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Formal Modeling and Verification of Multi-agent System Based on Timed Automata 16

Formal Modeling and Verification of Multi-agent System Based...

引用

16th IEEE international conference on Intelligent Systems and Knowledge engineering, ISKE 2021

作者： Wang, Xia Xu, Yang Liu, Peiyao Southwest Jiaotong University National-Local Joint Engineering Laboratory of System Credibility Automatic Verification School of Computing and Artificial Intelligence Chengdu China Southwest Jiaotong University National-Local Joint Engineering Laboratory of System Credibility Automatic Verification School of Mathematics Chengdu China

ISBN: (纸本)9781665405539

The safety and credibility of the safety-critical systems is a research problem that has received wide attention. Introducing the theory of multi-agent systems into the research of safety-critical systems is very important. In this paper, the characteristics of the multi-agent system and the interaction between agents are considered, and the use of Time Automata to formally model and verify the multi-agent system is proposed. Finally, taking the Radio Block Center (RBC) scenario in the train control system as an example, the proposed method is introduced in detail. The results show that the method proposed in this paper has particular reference significance for the safety and credibility research of safety-critical systems. © 2021 IEEE.

关键词： Multi agent systems

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A Hybrid Swarm Intelligence Model for Efficient Query Optimization in Distributed Databases Using Genetic and Ant Colony Algorithms

A Hybrid Swarm Intelligence Model for Efficient Query Optimi...

引用

Intelligent control, computing and Communications (IC3), international conference on

作者： Nemala Jayasri Santosh Kumar B Navdeep Singh Ajeet Singh Taqi Mohammed Khattab Al-Rubaye Mallikarjuna Rao Department of CSE-AI&ML MLR Institute of Technology Hyderabad Telangana India Department of Computer Science Engineering New Horizon College of Engineering Bangalore India Lovely Professional University Phagwara India Department of Electrical Electronics & Communication Engineering Galgotias university Gerater Noida Uttar Pradesh Department of Medical Laboratory Technology College of Medical Technologies The Islamic University Najaf Iraq Department of CSE GRIET Bachupally Hyderabad Telangana India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

Optimisation of queries in distributed databases is more imperative to enhance the processing rate and use of resources with limited computational abilities. This work presents a novel GA-ACO hybrid swarm intelligence model to address the query optimization problem. The optimization effort of the proposed model starts with GA for an initial population of probable paths for query execution which uses the concept of evolution to select diverse solutions. After that, ACO strengthens this set by the application of pheromone-based reinforcement that allows adjusting of a query paths toward the best solution or its approximation with the following number values. In this way the enhancement of the convergence rates and the scalability of the proposed solution when distributed databases are used can be explained. The model was tested with artificial query logs with DEAP being used for the implementation of the genetic algorithm while ant colony operations were implemented using Python built ACO libraries. Performance analysis shows the success of the developed model in decreasing query response time as follows: This essentially complex hybrid mechanism shows potential for future use in other areas with large data sets and efficient query handling.

关键词： Costs Query processing Computational modeling Scalability Distributed databases Time factors Particle swarm optimization Optimization Genetic algorithms Load modeling

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Analyzing Performance Patterns and user Experience in Online Cybersecurity Challenges: Insights from SKRCTF

Analyzing Performance Patterns and user Experience in Online...

引用

2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Singh, Vinai K. Sengar, R.S. Pandey, Navneet Gl Bajaj Group of Institutions Department of Applied Science and Humanities Mathura India Gl Bajaj Group of Institutions Department of Electrical Engineering Mathura India Gl Bajaj Group of Institutions Department of Mechanical Engineering Mathura India

ISBN: (纸本)9798331527495

The field of cybersecurity education has undergone a significant transformation, with the emergence of innovative e-learning platforms that aim to bridge the gap between academic institutions and industry. This study investigates the effectiveness of SKRCTF, a customized Capture-the-Flag platform designed to support cybersecurity skill development, through comprehensive analysis of user performance patterns and learning experiences. Drawing from data collected from 120 participants over a 12-week period, this research employs mixed-methods analysis to examine learning progressions, engagement patterns, and skill development pathways in cybersecurity education. The findings reveal three key insights: 1. the emergence of distinct specialist and generalist learning patterns, challenging traditional assumptions about linear skill progression;2. the identification of an optimal engagement zone that maximizes learning effectiveness;and 3. the discovery that analytical challenges serve as effective entry points for cybersecurity skill development. The study also uncovers a complex relationship between perceived difficulty and learning outcomes, where higher perceived difficulty often correlates with increased persistence rather than decreased engagement. These insights contribute to both theoretical understanding of cybersecurity skill development and practical platform design considerations. The research suggests that effective cybersecurity education platforms should support multiple learning pathways, implement structured engagement mechanisms, and carefully sequence challenges to optimize skill development. These findings have significant implications for the design of cybersecurity education programs and the development of future security professionals. © 2025 IEEE.

关键词： engineering education

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Designing a Cloud computing System to Improve Energy Consumption in University Buildings

Designing a Cloud Computing System to Improve Energy Consump...

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Advances in engineering science and Technology (AEST), international conference on

作者： Laith Ali Abdul-Rahaim Israa Mohammed Rasheed Suhair Hussein Talib Electrical Engineering Department University of Babylon Hilla Iraq Computer Technical Engineering Department College of Technical Engineering The Islamic University Najaf Iraq Medical Instrumentation Techniques Engineering Al-Mustaqbal University College Hillah Iraq

Cloud computing has developed many services that a person might need in their life, including safety, convenience, economy, and other services. In this research, a system that depends on cloud computing was designed and implemented to provide a specific service within the university, which is the ability to control, protect, and monitor the electrical appliances used. The Arduino app is used, including 6 electrical devices, some of which are based on sensors (temperature sensor and other motion sensors). Through a specific interface, the user can control the power consumption by turning off the unused devices. When the amount of current drawn or the amount of energy consumed is known, this system is set to 12 A if the quantity of current surpasses a particular limit. Low-power devices will be turned off, and then the current will be checked to ensure that it is below the limit. If so, the devices will remain on, and the condition will continue. The most important properties widely available for electrical appliances is protection. In this paper, the protection is represented if the voltage drops below 200 V or more than 230 V, whereby all electrical appliances will be turned off.

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Frequency Regulation of a Distributed Power System via Modified Whale Optimization Algorithm 3

Frequency Regulation of a Distributed Power System via Modif...

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3rd IEEE international Virtual conference on Innovations in Power and Advanced computing Technologies, i-PACT 2021

作者： Khadanga, Rajendra Ku. Padhy, Sasmita Sahu, Preeti Ranjan Panda, Sidhartha Centurion University of Technology and Management Department of Electrical and Electronics Engineering Jatani Odisha Bhubaneswar India National Institute of Science and Technology Department of Electrical and Electronics Engineering Odisha Berhampur India Veer Surendra Sai University of Technology Department of Electrical and Electronics Engineering Odisha Burla India

ISBN: (纸本)9781665426916

This paper proposes the modified methodology for the Whale Optimization Algorithm (WOA) which improves the first procedure known as Modified WOA algorithm. The modification is established by introducing some correction factors as CFl, CF2 to the original WOA algorithm. In the subsequent stage, the real application of the proposed approach in this field is finished by structuring an AFPID controller for frequency regulation of a Distributed energy power generation system DEPS. The DEPS incorporates renewable sources like photovoltaic, wind and storage gadgets. It is seen that MWOA based AFPID controller is increasingly compelling for the frequency control. © 2021 IEEE.

关键词： controllers

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Management of load demand considering a DG working on islanded mode 1

Management of load demand considering a DG working on island...

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1st Odisha international conference on electrical Power engineering, Communication and computing Technology, ODICON 2021

作者： Tungadio, Diambomba Hyacinthe Sun, Yanxia Electrical and Electronic Engineering Science University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9781728176635

This paper presents a load demand management of interconnected distributed generation (DG) working on islanded mode. The development of technology related to network integration and the use of energy renewable source continues to attract researches, today these sources can generate over a thousand kilowatts, that why it important to look after the management of load supplied by the DG specially when working in islanded mode. The proposed load management model took into account the energy from the storage system and the tie-lines power flow transfer constraints applying the optimal control theory. The proposed methodology considers two loads types: critical and non0critical and proposes a load management of DG interconnected system. All optimization problems were solved using Matlab environment. © 2021 IEEE.

关键词： Distributed power generation

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Research on Inverter control System of Flip Fixture

Research on Inverter Control System of Flip Fixture

引用

electrical engineering and control science (IC2ECS), international conference on

作者： Shangang Wang Shuang Zhang Hudai Fu Wan Yi Ye Wang School of Mechatronic Engineering Changchun Institute of Technology Changchun China

This paper draws on the strategic goal of “Made in China 2025” to promote the process of industrialization and modernization and realize part of the intelligent transformation of the traditional factory production model. The inverter control system of the flip fixture is designed to realize automation based on the requirements of the enterprise. This paper introduces the control system of the flip fixture. The programmable controller 6ES7 214-1AD23-OXB8 is used as the main control device. And the inverter is used to control the direction, speed, frequency and amplitude of the motor. In this way, the period of the moving magnetic field is set to control the motor speed smoothly. The control system achieves the automatic flipping of the flip fixture through the inverter, which reflects the safety, efficiency and reliability.

关键词： Wiring Welding Fixtures control systems Inverters Production facilities Safety

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Optimization Scheme for Power Transmission in Wireless Sensor Network

Optimization Scheme for Power Transmission in Wireless Senso...

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Power, Instrumentation, Energy and control (PIECON), international conference on

作者： Anshul Kumar Yadav Akshita Sharma Anurag Yadav Ankit Vijayvargiya Aakash Saxena Rajesh Kumar Electrical Engineering Swami Keshvanand Institute of Technology Management and Gramothan Jaipur India School of Computing Science and Engineering VIT Bhopal University Madhya Pradesh India Electrical Engineering Malaviya National Institute of Technology Jaipur India

Wireless Sensor Networks (WSNs) are networks of sensors that can sense a dynamic process and send the measured data over a common channel to a central base station. As the number of devices increases exponentially, the energy efficiency of WSN clusters needs to be considered. The transmission power refers to the total allowable output power of the sensors to send information packets. Consider the power transmission problem for a fully connected cluster, with the goal of finding the minimum transmission power for each node in a given cluster without disrupting the network. In order to obtain a more effective optimal solution for the mentioned problem, ten different cases are studied using five optimization algorithms. The optimization algorithm is repeatedly tested to find the global minima of the fitness function. The study emphasises that the artificial ecosystem optimizer is the best fit for the mentioned model in all 10 cases. The average energy saved in transmission by the best performing algorithm is about 6.4 dBm.

关键词： Wireless communication Wireless sensor networks Analytical models Ecosystems Clustering algorithms Power transmission Sensors

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Fine-Tuned BERT Model for Accurate Hate Speech Detection in Social Media

Fine-Tuned BERT Model for Accurate Hate Speech Detection in ...

引用

Modeling, Simulation & Intelligent computing (MoSICom), international conference on

作者： Mohamed Fawaz Arif Jagadish Nayak Dept. of Computer Science Engineering BITS Pilani Dubai Campus Dubai UAE Dept. of Electrical and Electronics Engineering BITS Pilani Dubai Campus Dubai UAE

ISBN: (数字)9798331533311

ISBN: (纸本)9798331533328

Over recent years, the prevalence of hate speech and provocative language on social media platforms has risen sharply, raising significant concerns about their impact on individuals and society at large. Hate speech can inflict harm on both individuals and groups, deepen societal divisions, and even incite violent acts. Therefore, the objective of the paper is to identify and eliminate hate speech from social media to help maintain a respectful and healthy online environment. The proposed work analyzes the BERT Model that has been fine-tuned by utilizing the Hugging Face library, to detect hate speech, offensive language, and neutral content. The aim of the research is to evaluate the model’s accuracy and other performance metrics in identifying hate speech and offensive language. For training and testing, we employ a labeled dataset from Kaggle containing instances of offensive and hateful language. The BERT model uses a pre-trained tokenizer from the Hugging Face Transformers library, specifically the case-sensitive base BERT model, to tokenize and encode text for classification purposes. The model achieves an overall accuracy of ${9 0 \%}$.

关键词： Training Accuracy Social networking (online) Computational modeling Hate speech Bidirectional control Transformers Encoding Libraries Faces

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Computational Analysis of a Light-Weight SUVr Processing Technique for Neuroimaging Alzheimer's Disease

Computational Analysis of a Light-Weight SUVr Processing Tec...

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2022 international conference on Computational science and Computational Intelligence, CSCI 2022

作者： Mayrand, Robin Perry Freytes, Christian Yaphet Sawada, Luana Okino Adeyosoye, Micheal Cid, Rosie E. Curiel Lowenstein, David Duara, Ranjan Adjouadi, Malek Florida International University Electrical & Computer Engineering MiamiFL United States School of Computing & Information Sciences Florida International University MiamiFL United States University of Miami Department of Neuropsychology MiamiFL United States University of Miami Cognitive Neurosciences and Aging MiamiFL United States Wien Center for Alzheimer's Disease and Memory Disorders Mt Sinai Medical Center MiamiFL United States

ISBN: (纸本)9798350320282

The Standard Uptake Value (SUV) is conventionally calculated using the ratio of the injected PET radiotracer dose and subject body weight (Binj). SUVs are used to obtain SUV ratios (SUVr), an important metric in many Alzheimer's Disease (AD) neuroimaging studies. However, SUVr can be obtained using only neuroimaging data, bypassing the need for Bin. This paper proposes the SUVr-LightWeight (SUVr-LW) algorithm which is not reliant on clinical data and instead focuses on PET intensity values. The SUVr-LW was evaluated using the Centiloid Project Florebetaben (FBB) subject cohort and reached a linear regression slope of 0.98, while the healthy control subjects produced a slope of 0.87. © 2022 IEEE.

关键词： Neuroimaging

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