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Design, Simulation, and Implementation of a Smart Net-Metering System for the distributed PV and Grid-Connected Customers 3

Design, Simulation, and Implementation of a Smart Net-Meteri...

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3rd international conference on Advancement in Electrical and Electronic Engineering, ICAEEE 2024

作者： Bijoy, Haider Mahmud Hasan, Md. Mahadi Jaman, Md. Asadur Bhuyan, Muhibul Haque Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350388282

The research work reports on the design, simulation, and implementation of a smart net-metering system for distributed photovoltaic (PV) and grid-connected customers. This paper presents a comprehensive study on the development and deployment of a smart net-metering system for distributed PV systems and grid-connected customers. This work aims to demonstrate the bidirectional flow of electricity for net-metered customers. Next, the paper delves into the design aspects of the proposed smart net-metering system. It discusses the architecture and components required for the seamless integration with distributed PV systems and the grid. The design incorporates advanced metering technologies, communication protocols, and intelligent algorithms to enable real-time monitoring, control, and data exchange between PV systems, customers, and the utility. The simulation and modeling of the smart net-metering system are done using MATLAB and Proteus. Various scenarios are simulated to assess the system's performance, including energy generation, consumption, and bi-directional power flow with the grid. The results of the simulations provide valuable insights into system behavior and performance under different conditions. The implementation phase is then presented, showcasing the practical deployment of the designed smart net-metering system. The experimental hardware outlines the installation process and integration with the existing infrastructure. The experimental results show real-time outcomes of the system on the LCD screen. © 2024 ieee.

关键词： Electronic data interchange

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Enhancing the Accuracy using Received Signal Strength Based Low-Cost Localization Algorithm in Wireless sensor Networks 3

Enhancing the Accuracy using Received Signal Strength Based ...

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3rd international conference on Computer Technologies, ICCTech 2024

作者： Dilli, Ravilla Ravi Chandra, M.L. Manipal Academy of Higher Education Manipal Electronics and Communication Engineering Manipal Institute of Technology Karnataka Udupi India Ramanujan Institute of Technology Electronics and Communication Engineering Srinivasa Andhra Pradesh Ananthapuramu India

ISBN: (纸本)9798350395419

Location based services provide most attractive IoT applications, thanks to the deployment of wireless sensor network (WSN) that collects and transmits data to find the target location. The aim of localization in WSNs is to calculate the target nodes accurate position coordinates in the given sensing field. The existing nascent localization algorithms demand a greater number of anchor nodes to locate target nodes. Since anchor nodes are installed with global positioning system (GPS) and it increases network deployment cost. This work presents cost-effective distance based localization algorithm in which the location coordinates of target nodes are computed with the help of only four fixed anchor nodes. During the localization process, anchor nodes are assigned with weights in order to minimize the effect of errors in range measurements. After computing the location coordinates, values are optimized by applying an improved cuckoo search algorithm to enhance localization accuracy. The results of the proposed method are compared with the existing nascent localization methods to prove the efficiency. © 2024 ieee.

关键词： sensor nodes

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Development of a Device for non-Invasive Measurement of Blood Glucose Levels Based on a Laser-Induced non-Enzymatic Graphene sensor 3

Development of a Device for non-Invasive Measurement of Bloo...

引用

3rd ieee international conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Kashtanov, Aleksandr A. Reva, Ivan L. Bannov, Alexander G. Kashtanova, Elena V. Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9798331516321

One of the promising methods for determining the amount of glucose in human blood is the determination of glucose by exhaled gases or biological fluids of a person. For this analysis, non-enzymatic glucose sensors are used, which, unlike enzymatic analogs, have high sensitivity, they are cheaper, more stable and have low power consumption. This allows them to be used both in laboratory conditions and in wearable electronics. Due to the low concentrations of glucose in human tissues and biological fluids, an important criterion for sensors is high sensitivity for detecting the smallest trace amounts of glucose. One of the effective methods is the use of bimetallic systems or three-dimensional porous structures of laser-induced graphene on flexible polymer substrates. Using these sensors, a structural and functional diagram was designed and, based on it, a prototype of a wearable device for continuous glucose monitoring with the ability to transmit data was developed. © 2024 ieee.

关键词： Blood

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Formal Verification of distributed Self-Adaptive systems Under Environmental Uncertainty 3

Formal Verification of Distributed Self-Adaptive Systems Und...

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3rd international conference on Artificial Intelligence and Computer Information Technology, AICIT 2024

作者： Wang, Zihao Liu, Wei Guo, Kao Xu, Fan School of Computer Science & Engineering Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798350365443

distributed self-adaptive system is a multi-component collaborative system that automatically adjusts its behavior and structure through adaptive mechanisms to maintain system performance and stability in dynamic environments. The adaptability and robustness of these systems depend on the correctness of self-adaptive decisions in real-world scenarios. However, environmental uncertainty makes it difficult for the systems to accurately perceive their operating environments, which may result in misjudgments and consequently erroneous self-adaptive decisions. To address this issue, we propose a Stochastic Timed Automata-based Adaptive Verification method. By collecting data during system operation and using Bayesian methods to transform it into transition probabilities between system states, a stochastic timed automata model is constructed to simulate the system's operational process. Key properties are verified using statistical model checking to ensure the correctness of self-adaptive decisions. The effectiveness and efficiency of the method are demonstrated by verifying the adaptability and robustness of a multi-roadside unit collaborative system in intelligent transportation vehicle-road coordination. © 2024 ieee.

关键词： Stochastic systems

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Voice Command Fingerprinting: An in-Depth Examination of Challenges and Issues 3

Voice Command Fingerprinting: An in-Depth Examination of Cha...

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3rd ieee international conference on Industrial Electronics: Developments and Applications, ICIDeA 2025

作者： Singh, Paras Nath Mathews, Ann Antu, Anisha Suryanarayana, Ch.V.S. GMR Institute of Technology Department of CSE Rajam532127 India CMR Institute of Technology Department of CSE Bengaluru560037 India Federal Institute of Sc. & Technolgy Department of CSE Kerala Angamaly683577 India Mallareddy Engg. College Maisammaguda Department of CSE-AIML Secundrabad500100 India

ISBN: (纸本)9798331533205

Voice assistant systems have gained widespread adoption across diverse sectors, including electronics, healthcare, automotive, and retail. Spoken Language Understanding is essential for voice-text interaction systems. Security researchers have already identified vulnerabilities in encrypted network traffic, particularly in the context of traffic analysis, enabling the network-level adversaries to infer the websites visited by users. This security threat, common in traditional web communication, extends to Website Fingerprinting attacks in voice query communication, giving rise to the concept of Voice Command Traffic Fingerprinting. This paper analyses the features, challenges and linguistic properties of VCF(Voice Command Fingerprinting) considering various features. A detailed analysis reveals that the proposed models for voice command categories and factors are more capable to handle the issues. The results and methods in this paper pave the way for further research on the secured models in voice command processing in. The Python tools like Tensor-flow, Scikit-learn and specially Pyttsx3 have been used for generating and filtering datasets. An CTC-Attention-based hybrid model recurrent unit which effectively combine the two models. The proposed model achieves over 99.7% accuracy. © 2025 ieee.

关键词： distributed computer systems

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Optimized Clustering and Routing with Sink Mobility for Enhanced Lifetime in IoT-based Wireless sensor Networks for Smart Farming 3

Optimized Clustering and Routing with Sink Mobility for Enha...

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3rd international conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Biyani, Raghav Toshniwal, Radhika Karthikeyan, A. Srividhya, V. School of Electronics Engineering Vellore Institute of Technology Vellore India Annai Mira College of Engineering and Technology Department of ECE Vellore India

ISBN: (纸本)9798350372120

The rise of the Internet of Things (IoT) is due to the wide usage of mobile devices, cloud computing, data analytics, and other technological advancements. This has led to the integration of sensors, microcontrollers, and transceivers into everyday objects, particularly in IoT-enabled smart farming. Wireless sensor Network (WSN) nodes are essential as it enables real-time data collection on parameters like temperature and soil moisture. This allows farmers to remotely monitor their fields and address issues such as damage caused by animals. However, the effectiveness of WSN can be hindered by factors like low bandwidth and sub-optimal energy optimization. To address these challenges, the proposed study introduces the Multi-Objective Comprehensive Learning Particle Swarm Optimization (MOCLPSO) clustering algorithm. The algorithm aims to optimize energy usage and enhance decision-making by evaluating solutions based on factors like Throughput, Number of Alive Nodes, Residual Energy, and Cluster count. The study also integrates Sink Mobility in MOCLPSO, enabling the central sink node to move towards remote sensor nodes, thereby improving communication efficiency and reducing energy consumption for data transmission. © 2024 ieee.

关键词： MATLAB

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An Adaptive Load Balancing Strategy for distributed Machine Learning 3

An Adaptive Load Balancing Strategy for Distributed Machine ...

引用

3rd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023

作者： Min, Haozhe Xue, Meiting Zhu, Weibo Zeng, Yan Zhao, Nailiang Zhang, Jilin Hangzhou Dianzi University College of Cyberspace HangZhou China Hangzhou Dianzi University School of Computer Seience and Techrology HangZhou China

ISBN: (纸本)9798350302356

Within a distributed deep learning training system, variances in performance among computing nodes, as well as the influence of external environmental factors, can result in training interruptions or reduced convergence speed. As such, this paper presents an approach to address this issue by proposing a dynamic task allocation strategy among nodes, aimed at mitigating the impact of performance discrepancies on the training efficiency of distributed deep learning systems. This proposed approach is referred to as the 'Auto weight-based load balancing strategy' (Auto-WLBS) and involves dynamically adjusting the task allocation among computing nodes based on their performance characteristics. In order to maximize computing power while minimizing the lag effect on the training of the entire system, Auto-WLBS partitions and alters the errands by introductory division and halfway alteration. Combined with LSP model, AW-LSP model is proposed. Finally, a comparative experiment was conducted on the cifar10 and cifar100 datasets, and Auto-WLBS was experimentally verified from the perspective of model training loss function changes, model accuracy, and training time. The experimental findings demonstrate that compared to the BSP model, SSP model, and LSP model, the AW-LSP model has a smaller communication overhead, and the communication overhead can be reduced by up to 23.70%. Compared with the SSP model and the LSP model, the model accuracy can be improved by up to 14.5% and 8.6%, respectively. © 2023 ieee.

关键词： computing power

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Design and Simulation Analysis of Different Diaphragm Shapes for Piezoresistive Pressure sensor 3

Design and Simulation Analysis of Different Diaphragm Shapes...

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3rd ieee international conference on computing, Communication, and Intelligent systems, ICCCIS 2022

作者： Jayaram, U. Swapna, P. Andhra University College of Engg Department of Instrument Technology Visakhapatnam India

ISBN: (纸本)9781665462006

Pressure sensors are widely employed in a variety of industries, including the automotive, medical, pneumatic, and military professions. The piezoresistive type of pressure sensor is the most used transduction mechanism since it has simple readout circuitry and is inexpensive to manufacture. A piezoresistive pressure sensor is made up of a sensing device, which is a diaphragm, and appropriate circuitry to translate the diaphragm's deflection into an electrical signal. The design of the diaphragm has a considerable impact on the sensitivity of a sensor. This study undertakes a theoretical analysis of a piezoresistive pressure sensor design with different diaphragm designs as a consequence. A square diaphragm has been shown to be ideal for the creation of very sensitive pressure sensors. © 2022 ieee.

关键词： Pressure sensors

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Droop-Control-Aided State Estimation in Active Distribution systems 3

Droop-Control-Aided State Estimation in Active Distribution ...

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3rd international conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Dimoulias, Stelios C. Kryonidis, Georgios C. Malamaki, Kyriaki-Nefeli D. Kontis, Eleftherios O. Fotellis, Fotios P. Milioudis, Apostolos N. Romero-Ramos, Esther Aristotle University of Thessaloniki School of Electr. & Comput. Eng. Thessaloniki Greece University of Thessaly School of Electr. & Comput. Eng. Volos Greece Hellenic Distrib. Netw. Oper. Grid Oper. & Develop. Thessaloniki Greece Universidad de Sevilla Dept. of Electr. Eng. Seville Spain

ISBN: (纸本)9798350375923

In this paper, an enhanced state estimation algorithm for active distribution systems (DSs) is presented. Its distinct characteristic is the integration of the local control logic of the distributed renewable energy sources, i.e., the droop control, into the mathematical formulation of the state estimation problem. Numerical results on a real medium-voltage DS are presented to highlight the superior performance of the proposed method against the conventional weighted least squares estimation algorithm in terms of increased accuracy and observability. © 2024 ieee.

关键词： distributed energy

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Optimal sensor Placement and Battery Pack Configuration in Electrochemical Energy Storage systems: A Mixed-integer Non-linear Programming Approach 3

Optimal Sensor Placement and Battery Pack Configuration in E...

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3rd international conference on computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Wei, Shibo Jiang, Liping Zhang, Xiaojun Zhang, Jingwen Tian Di Technology Co. Ltd. CCTEG Beijing Technology Research Branch Beijing100013 China Xiaoshan District Fire Rescue Brigade Hangzhou311201 China West Lake Scenic Area Fire Rescue Brigade Hangzhou311607 China Chinese Institute of Coal Science CCTEG Beijing100013 China

ISBN: (纸本)9798331528386

The integration of electrochemical energy storage (EES) systems in diverse applications from portable devices to grid storage is crucial for the transition to sustainable energy sources. Efficient battery management is vital for optimizing performance and ensuring safety, with a focus on the strategic placement of sensors and battery pack configuration. This paper introduces a mixed-integer nonlinear programming (MINLP) model that optimizes these aspects by considering three-dimensional spatial configurations and diverse battery types. The model aims to minimize costs while ensuring comprehensive coverage and stringent safety standards. It extends beyond traditional methods by incorporating adaptive strategies that enhance predictive capabilities and operational efficiency. By applying this model in detailed case studies, the paper demonstrates significant improvements in cost efficiency and system reliability, offering a robust framework for enhancing battery management systems in various technological and operational settings. This approach not only addresses current challenges but also adapts to dynamic conditions, highlighting its potential to significantly impact the future of energy storage solutions. © 2024 ieee.

关键词： Mixed-integer linear programming

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