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检索条件"任意字段=International Conference on Intelligent Computing and Control Systems"

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Evaluating Resource Allocation Strategies in Mobile Ad Hoc Networks with Cloud computing Algorithms

Evaluating Resource Allocation Strategies in Mobile Ad Hoc N...

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2024 international conference on E-Mobility, Power control and Smart systems, ICEMPS 2024

作者： Pillai, Sanjaikanth E. Vadakkethil Somanathan Jindal, Mayank Mimani, Sushant Jiwani, Nasmin Kiruthiga, T. School of Electrical Engineering and Computer Science University of North Dakota Grand Forks United States San Jose CA United States GoDaddy SnohomishWA United States University of The Cumberlands Dept. of Information Technology WilliamsburgKY United States Vetri Vinayaha College of Engineering and Technology Dept. of Ece Trichy India

ISBN: (纸本)9798350394399

Cellular advert Hoc Networks (MANETs) is self-organizing wireless networks that lack the physical infrastructure and centralized manage of conventional networks. With a purpose to enable powerful communiqué, it's miles important to deal with the resource allocation problem in MANETs. Recently, Cloud computing algorithms were used to evaluate aid allocation techniques in MANETs. Those algorithms contain sampling strategies, which include nearest neighbor, Monte Carlo, and hybrid strategies, to optimize the useful resource utilization levels. This allows for a more correct assessment of the to be had assets in MANETs. Moreover, these algorithms also can be carried out to autonomously control and time table communication flows with a view to improve standard network performance. This paper affords an outline of the existing aid allocation techniques and their evaluation in MANETs the usage of cloud computing algorithms. It also discusses the impacts of the useful resource control selections in MANETs and the challenges confronted in deploying cloud computing algorithms in these settings. Lastly, a fixed of future studies directions is proposed to in addition improve resource allocation techniques in MANETs. © 2024 IEEE.

关键词： Cloud computing

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PSO Based PID control Approach for Interconnected Load Frequency control Scheme 4

PSO Based PID Control Approach for Interconnected Load Frequ...

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4th IEEE international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Awasthi, Aviral Khare, Prachi Yadav, Sadhna Singh, Akhilesh Goyal, Shweta Graphic Era Hill University Department. of Computer Science and Engineering Bhimtal263132 India Axis Institute of Tech & Management Dr. Apj Abdul Kalam Technical University Department of CSE/IT UP Kanpur209402 India Axis Institute of Tech & Management Dr. Apj Abdul Kalam Technical University Department of Cse UP Kanpur209402 India Uttarakhand Technical University Campus Institute Department of Electrical Engineering Pithoragarh India Graphic Era Deemed to Be University Department of Electrical Engineering Dehradun248002 India

ISBN: (纸本)9798350360165

Load frequency control, also referred to as LFC, is of utmost importance in maintaining the dependability of the power system. Ensuring a balance between production and consumption is crucial for maintaining the frequency at its optimal level. Using PID controllers makes it possible to regulate at lower frequencies. This control system surpasses other control systems in terms of effectiveness, ease of implementation, and longevity. This research thoroughly examines the LFC and PID control systems. This research specifically focuses on PID controllers that are equipped with LFC. Various PID tuning strategies used to assess the efficiency of load frequency control (LFC). The purpose of this research is to investigate the new developments in PID control and the implications such developments have for Load Frequency control (LFC). It examines all of the challenges and provides suggestions for further investigation. The purpose of this study is to demonstrate that PID control and load frequency adjustments have the potential to improve the efficiency of power systems. The findings constitute a comprehensive evaluation of the inquiry. © 2024 IEEE.

关键词： Three term control systems

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AI-Enhanced Quality control systems for intelligent Industrial Applications

AI-Enhanced Quality Control Systems for Intelligent Industri...

引用

2024 international conference on Sustainable computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Sreeja, S.P. Sreenivasulu, D. Jain, Alok Mittal, Mudit Subbiah, Ram Ziara, Sajjad New Horizon College of Engineering Bangalore India Institute of Aeronautical Engineering Dundigal Hyderabad500043 India Lovely Professional University Phagwara India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Mechanical GRIET Bachupally Telangana Hyderabad India Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq

ISBN: (纸本)9798350355338

Since AI has been used in industrial settings;significant changes have been made to quality control and maintenance. Adaptive Defect Net (ADN), We believe Reinforce Optimize (RO), Predictive AI-Maintain (PAM), and Predictive AI-Adaptive (PAM) can tackle smart industrial challenges. We tested and compared these tactics to famous ones. ADN's machine vision and deep learning make it quick at issue detection. We proved it was the most accurate technique to detect even the slightest issues via testing. This ensures our products fulfill our requirements. The RO offers a unique perspective on quality control improvement. Since it can mend itself and learn from its errors, it reduces check-taking staff and expenses. We observed that it may boost flexibility and ability. PAM predicts repair characteristics will occur much faster than in scheduled maintenance. Advance machine learning and sensor data analysis detect issues before they occur in predictive asset maintenance (PAM). This reduces expensive unexpected downtime and extends equipment life. The strategies exhibited greatly effect smart workplace adoption in many contexts. ADN, RO, and PAM combined provide incredible precision, speed, and flexibility in maintenance and quality control. These innovative concepts have the potential to significantly reduce costs, improve goods, and fundamentally alter the manufacturing process. The way industry does maintenance and quality control is going to undergo a radical transformation thanks to these AI-powered techniques. In the long run, this will make things more economical, dependable, and efficient. © 2024 IEEE.

关键词： Predictive maintenance

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Online Residual Learning using Interpretable Reservoir computing for Quadrotor control

Online Residual Learning using Interpretable Reservoir Compu...

引用

international conference on Unmanned Aircraft systems (ICUAS)

作者： Gu, Weibin Rizzo, Alessandro Politecn Torino Dept Elect & Telecommun Turin Italy

ISBN: (纸本)9798350357899;9798350357882

Quadrotors, valued for their mobility and cost-effectiveness, have found widespread use in applications such as aerial photography and infrastructure inspection. However, their complex and nonlinear dynamics make them sensitive to uncertainties. In dynamic scenarios with online data but little-to-no prior knowledge of these unknowns, data-driven approaches show promise in both system identification and controller design. Nonetheless, the black-box nature of deep learning poses challenges for trust and generalizability. In this paper, we introduce a novel tracking controller featuring an online learning module for quadrotor residual dynamics. This module, implemented using deep Echo State Network (ESN), enhances adaptability to unforeseen scenarios, thereby extending the applicability of the controller to a broader range of situations. Furthermore, we employ post-hoc interpretation techniques tailored for the ESN to improve trustworthiness. This is achieved through dynamic system analysis and visualization of network predictions. Simulation results demonstrate the effective tracking of a figure-8 trajectory with online learning compensating for various non-parametric uncertainties, which showcases the potential of the proposed approach and establishes a foundation for the real-world testing in future.

关键词： Cost effectiveness

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Delay Distribution-Based Smith Predictor for Networked control systems

Delay Distribution-Based Smith Predictor for Networked Contr...

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2024 IEEE international conference on control Science and systems Engineering, ICCSSE 2024

作者： Wang, Longkai Lei, Yong University Hangzhou State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang China

ISBN: (纸本)9798331517199

In this work, we study the discrete-time networked control systems (NCSs) with network-induced dual channel delays. In a sampling period, if the feedback-channel delay is historical information for the controller node, then the forward-channel delay is an unknown future quantity. The typical Smith predictor scheme usually treats the forward-channel delay as a measurable historical quantity, which makes it not reasonably compensated. In this paper, a novel Smith predictor scheme is proposed to compensate for dual-channel delays and assist in controller design, which utilizes information about the distribution of forward-channel delays to predictively compensate for them. Then, the methods for determining the stability condition of the system and the controller feedback gain that account for delay distribution are provided. Finally, two simulation examples are given to show that the proposed scheme achieves better state convergence and tracking performance under varying network conditions compared to typical Smith predictor schemes. © 2024 IEEE.

关键词： Networked control systems

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LawLLM: intelligent Legal System with Legal Reasoning and Verifiable Retrieval 29th

LawLLM: Intelligent Legal System with Legal Reasoning and Ve...

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29th international conference on Database systems for Advanced Applications (DASFAA)

作者： Yue, Shengbin Liu, Shujun Zhou, Yuxuan Shen, Chenchen Wang, Siyuan Xiao, Yao Li, Bingxuan Song, Yuri Shen, Xiaoyu Chen, Wei Huang, Xuanjing Wei, Zhongyu Fudan Univ Shanghai Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China Eastern Inst Technol Ningbo Peoples R China New York Univ Shanghai Shanghai Peoples R China Northwest Univ Polit & Law Rule Law Inst Xian Peoples R China

ISBN: (纸本)9789819755684;9789819755691

We propose LawLLM, an LLM-powered intelligent legal system featuring on (1) Versatile Services: LawLLM provides a versatile diverse range of services through its multi-task capabilities;(2) Legal Reasoning: It is fine-tuned on supervised instruction data curated with legal syllogism prompting, enabling LawLLM to develop stronger legal reasoning capabilities based on clear judicial logics;(3) Verifiable Retrieval : with verifiable labels, LawLLM can first distinguish relevant external knowledge, then incorporate and finally validate it, enhancing the quality and actuality of model output. A comprehensive legal benchmark, LawEval, is further constructed to evaluate intelligent legal systems from both objective and subjective dimensions. Experiments demonstrate the effectiveness of our system in serving various users across diverse legal scenarios. The detailed resources are available at https://***/FudanDISC/DISC-LawLLM.

关键词： intelligent Legal System Legal Reasoning Verifiable Retrieval Large Language Model

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Smart Radiator System for Enhanced Thermal Management Using IoT and Hand Gesture Recognition 30

Smart Radiator System for Enhanced Thermal Management Using ...

引用

30th international conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Le, Hieu Minh Ogenyi, Uchenna Emeoha Guo, Liucheng University of Portsmouth School of Computing Portsmouth United Kingdom Tangi0 Ltd London United Kingdom

ISBN: (纸本)9798350391916

This paper presents the design and implementation of an intelligent radiator system that leverages Internet of Things (IoT) technology and hand gesture recognition (HGR) to enhance thermal management and energy efficiency in residential environments. The system addresses the limitations of traditional heating systems by enabling users to control radiator temperature via a web interface and intuitive hand gestures. The system utilises a Raspberry Pi, an ESP32, and sensors (temperature, ultrasonic, and gyroscope sensors) to monitor the environment and enable precise control. The HGR functionality, powered by MediaPipe, allows for convenient, touchless adjustment of heating settings with an accuracy of 73.02%. The system's performance is evaluated through a LEGO prototype, and potential refinements, such as dataset expansion and model optimisation, are discussed. The project demonstrates the potential of IoT technology to deliver innovative and practical solutions for energy management in smart homes. Future work envisions the integration of the system with a mobile robotic platform, enabling dynamic thermal data collection, enhanced human-robot interaction, and expanded home automation capabilities. © 2024 IEEE.

关键词： Radiators

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Application of PID controller Tuning Method for Load Frequency control in Multi Area Power System at Different Load Conditions

Application of PID Controller Tuning Method for Load Frequen...

引用

2024 international conference on Integrated Circuits, Communication, and computing systems, ICIC3S 2024

作者： Maurya, Arun Kumar Singh, Devendra Khan, Hera Kumar, Parveen Ajay Kumar Garg Engineering College Electrical and Electronics Ghaziabad India

ISBN: (纸本)9798350364088

AGC which is also termed as LFC i.e. load frequency control, employs mathematical modelling to understand the dynamics of power generation and load fluctuations. The classical second-order system featuring a governor and turbine serves as a widely adopted model for single-area load frequency management. However, this study focuses on a two-area electrical power system. Utilizing a hit-&-trial approach, the MATLAB/SIMULINK model integrates PI and PID controllers to regulate the frequency and transmission line (Tie line) of the two-area power system. Furthermore, it conducts a comparative analysis of the two controllers using the PID-tuned technique, thereby facilitating further validation or fine-tuning of the precision of the assigned value for the system-stabilizing controller. The PID controller is tasked with adjusting the output of generators, transformers, or other components to maintain the desired operating conditions. As a well-established feedback control method, the Proportional-Integral-Derivative controller is used broadly across various sectors. Despite its historical significance in control systems, its application is expected to evolve alongside advancements in technology and control methodologies in the future. © 2024 IEEE.

关键词： Three term control systems

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Triple DES and Serpent Encryption Algorithms in an Enhanced Cloud Secure Storage Optimization 1

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8th international conference on Information System Design and intelligent Applications, ISDIA 2024

作者： Althubiti, Sara A. Department of Computer Science College of Computer and Information Sciences Majmaah University Al-Majmaah11952 Saudi Arabia

ISBN: (数字)9789819748921

ISBN: (纸本)9789819748914

Multimedia has become a must in every profession due to its superiority. However, due to the difficulties in handling petabytes of this type of multimedia data in terms of estimations, allotments, interactions, and storage, there is a growing need for a substructure that can offer on-demand access to a disseminated group of reconfigurable manipulative possessions (such as servers, linkages applications, stowage’s, and amenities). The most recent development in the IT sector—which is significantly linked to the budget—is cloud computing. Different loads have been balanced as a result of increased data exchange. Using the ARIA and Elgamal algorithms, we have demonstrated a safe key exchange algorithm for data sharing. We used the plan to secure data transfer. We predicted that Elgamal encryption would be effective at protecting information. reducing the computational workload is the goal here. The process of encrypting only selected areas of a multimedia file is known as selective encryption because there is less computational work to be done. This gives you control over cloud computing. In addition, various errors happen when transferring data due to a number of safety issues. Future studies will involve integrating the suggested system into a cross-breed strategy that uses the Triple DES and Serpent Encryption algorithm and a little PC acting as a mini structure. © The Author(s).

关键词： Budget control

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Adiabatic computing for Power Flow Analysis 5

Adiabatic Computing for Power Flow Analysis

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2024 international conference on Quantum computing and Engineering

作者： Kaseb, Zeynab Moller, Matthias Kirsch, Markus Palensky, Peter Vergara, Pedro P. Delft Univ Technol Elect Sustainable Energy Delft Netherlands Delft Univ Technol Appl Math Delft Netherlands Fujitsu Technol Solut GmbH Munich Germany

ISBN: (纸本)9798331541378

We investigate the performance of different annealers for power flow analysis using adiabatic computing. The annealers include D -Wave's simulated annealer Neal, D-Wave's quantum -classical hybrid annealer, D -Wave's Advantages system (QA), Fujitsu's classical simulated annealer, and Fujitsu's digital annealer V3 (DA). We implement Quadratic Unconstrained Binary Optimization (QUBO) and Ising model formulations, with the latter offering finer control over complex voltage adjustments. Different test systems are experimented with to systematically evaluate the annealers. The evaluation is based on the accuracy, the annealer's capability to handle the decision variables, and the computational time needed. QA and DA show superior performance over classical annealers for our application. DA effectively manages larger test systems, whereas QA encounters difficulties embedding the problem graph onto the hardware graph because of the limited qubit connectivity. This constraint confines QA to the 14 -bus system with the QUBO formulation and the 4 -bus system with the Ising model formulation. The best performance is associated with different annealers across different test systems, which suggests that adjusting the threshold can improve precision if the compiler and annealer are capable of handling the number of variables involved.

关键词： Digital Annealing Power flow analysis Power systems Quantum Annealing

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