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2021 ieee 3rd international conference on Circuits and systems, ICCS 2021

2021 IEEE 3rd International Conference on Circuits and Syste...

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3rd ieee international conference on Circuits and systems, ICCS 2021

ISBN: (纸本)9781665412346

The proceedings contain 54 papers. The topics discussed include: rejection of periodic disturbances with unknown dominating frequencies for a class of nonlinear circuit systems;a precise analog multiplication circuit module for the pressure sensor’s linearization;a digital system design of high-speed acquisition module;single-phase hybrid APF background harmonic voltage damping control method;self-biasing MOS reference current sources insensitive to supply voltage and temperature;high-resolution single event transient measurement circuit with low area cost;an ultra-sensitivity cancellation type sensor based on microstrip meander-line;a high frequency stability feedback lock on-chip oscillator;research on signal integrity in high-speed interconnection channel based on SIwave;and harmonic compensation control based on weighted average current in single-phase.

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Analysis of Power Grid Operation Characteristics with distributed Generation Access Based on Data Mining

Analysis of Power Grid Operation Characteristics with Distri...

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ieee international conference on Industrial Electronics for Sustainable Energy systems (IESES)

作者： Yue Chen Xiang Ma Yantao Li Fei Wang Yidan Hu Wudi Bao Jiantao Liu Junfang Zhang School of Automation Nanjing University of Science and Technology Nanjing China Dispatch Center State Grid Jinhua Electric Power Co. LTD Jinhua China Electric Power Automation Research Institute China Electric Power Research Institute Nanjing China

With the increasingly problems of environmental pollution and energy shortage, new energy power generation technology has been developed rapidly. The scale of grid-connected new energy generation in the distribution network is increasing, and its influence on the grid is becoming more and more significant, which also brings challenges to the system scheduling. Based on the historical data, after preprocessing a large number of data, the improved K-means clustering algorithm based on GSA elbow criterion is proposed to extract and mine the features of power data. On this basis, the output characteristics of new energy and regional load characteristics are analyzed. Secondly, the impact of distributed new energy on the peak-valley difference of load and the impact of new energy with different permeability on the system reserve are studied. Finally, the impact on the typical operation characteristics of regional power grid is analyzed.

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Design of distributed Optimization Algorithm Based on Unbalanced Directed Graph Communication Topology Diagram 3

Design of Distributed Optimization Algorithm Based on Unbala...

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3rd international conference on Networking systems of AI, INSAI 2023

作者： Xu, Qinqin Luo, Siqi School of Automation Central South University Changsha China

ISBN: (纸本)9798350344660

The design of distributed optimization algorithms presents a multi-agent domain problem, offering advantages over traditional centralized optimization algorithms by requiring less information and leveraging faster information transmission, making it suitable for various application scenarios in modern production and life. However, while most distributed optimization algorithms are designed based on balanced graphs, practical projects often involve unbalanced directed graphs in their communication topology. To address this, the paper proposes a distributed discrete-time algorithm based on the row random matrix method and Lagrange multiplier method, tailored for distributed optimization problems with equality constraints and locally closed convex set constraints specifically for strongly connected fixed unbalanced directed graphs. This approach tackles challenges associated with the original row random matrix method's difficulty in handling equality constraints, requiring the introduction of a multiplication subsystem, while ensuring convergence speed. © 2023 ieee.

关键词： Lagrange multipliers

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MEMS Interdigital Electrode sensor Design for Gas sensing Mechanism

MEMS Interdigital Electrode Sensor Design for Gas sensing Me...

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3rd ieee international conference on Emerging Smart computing and Informatics (ieee-ESCI)

作者： Kulkarni, Vaishali S. Chorage, S. S. AISSMS IOIT E&TC Engn Pune 411001 Maharashtra India Bharti Vidyapeeths COEW E&TC Engn Dept Pune 411043 Maharashtra India

ISBN: (纸本)9781728185194

Numerous technologies uses Interdigital electrode [IDE] capacitors as a key component for sensing mechanism. The present paper aims at studying significance of design parameters of IDE and variation in sensitivity with the variation of these parameters. Sensitivity of the capacitive sensor is evaluated using COMSOL, Q3D Multiphysics simulations. Reliable and simple IDE structure and fabrication process is proposed. Simulations show that width of sensing film is higher than 1/2 of the wavelength of interdigital electrode structure. Sensitivity increases with width of film and its depth is enough which fills the gap between electrodes. IDE capacitive sensors are also known as planar capacitive sensors.

关键词： Interdigital electrode capacitance [IDC] capacitive sensing sensor Design Finite Element Simulations [COMSOL]

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Temperature and noise cancellation for Carbon Nanotube ISFET sensor 3

Temperature and noise cancellation for Carbon Nanotube ISFET...

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3rd ieee international conference on Design and Test of Integrated Micro and Nano-systems, DTS 2021

作者： Gaddour, Ahmed Dghais, Wael Hamdi, Belgacem Ali, Mounir Ben University of Monastir National Engineering School of Monastir Monastir5000 Tunisia University of Monastir Electronics and Microelectronics Laboratory LR99ES30 Monastir5000 Tunisia University of Sousse Higher Institute of Applied Sciences and Technology of Sousse Sousse4003 Tunisia

ISBN: (纸本)9780738132631

Ions-Sensitive Field-Effect Transistors (ISFETs) have been widely used as sensor interfaces for biochemical and chemistry fields. Despite ISFET's fast reaction (i.e. response), compact size as well as large measurement range, temperature variability is commonly impact the reliability of the measuring performance, which requires more protection in the results obtained and instruments of the study. In this article, we are introducing a new method for a CNISFET micro-sensor that uses a flexible analog circuit to perform noise reduction and temperature compensation. The circuit is developed for the common CNISFET micro sensor simulated on the TopSPICE platform. The proposed topology demonstrates a strong immunity to temperature variation and the interference of the noise. © 2021 ieee.

关键词： Carbon nanotubes

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Federated Learning and Cloud Integration for Enhanced Anomaly Detection in Wireless sensor Networks using LSTM Models and Raspberry Pi Node

Federated Learning and Cloud Integration for Enhanced Anomal...

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Applied Intelligence and computing (AIC), ieee World conference on

作者： S. Gayathri D. Surendran Department of Computer Science and Engineering Bannari Amman Institute of Technology Sathyamangalam Tamil Nadu India Department of Information Technology Karpagam College of Engineering Othakkal Mandapam Coimbatore Tamil Nadu India

ISBN: (数字)9798350384598

ISBN: (纸本)9798350384604

Wireless sensor Network (WSN) is increasingly utilized for monitoring and surveillance in various domains, including environmental monitoring, industrial automation, and healthcare. However, the sheer volume of data generated by WSN poses challenges for anomaly detection, especially in resource-constrained environments. This paper proposes a novel approach that combines federated learning and cloud integration to address the challenges of anomaly detection in WSN. Leveraging federated learning allows for collaborative model training across distributed sensor nodes while preserving data privacy. Cloud integration provides scalable computational resources for model aggregation and storage, enabling efficient anomaly detection. The implementation utilizes Long Short-Term Memory (LSTM) models, well-suited for capturing temporal dependencies in sensor data. Raspberry Pi-based WSN nodes are employed for their low-power consumption and flexibility, enabling deployment in diverse environments. Communication between sensor nodes and the cloud is facilitated through the Message Queuing Telemetry Transport (MQTT) protocol, ensuring efficient data transmission. Cloud integration is realized using Microsoft azure, offering robust cloud infrastructure for model aggregation and management. TensorFlow Federated (TFF) framework is utilized for federated learning, enabling collaborative model training across distributed nodes. Experimental evaluation demonstrates the effectiveness of the proposed approach, achieving significant improvements in anomaly detection accuracy and efficiency. Specifically, our approach achieves up to a 20% increase in detection accuracy compared to centralized approaches. Furthermore, integrating federated learning and cloud infrastructure results in a 25% reduction in processing time, enabling real-time anomaly detection capabilities.

关键词： Training Cloud computing Wireless sensor networks Federated learning Computational modeling Data models Telemetry Servers Anomaly detection Long short term memory

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A Hybrid Response Driven Hierarchical Porous Flexible Pressure sensor 3

A Hybrid Response Driven Hierarchical Porous Flexible Pressu...

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3rd international conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022

作者： Zhao, Zhou Guo, Qingkai Sun, Yu Yang, Laihao Chen, Xuefeng Xi'An Jiaotong University State Key Laboratory for Manufacturing Systems Engineering Xi'an China

ISBN: (纸本)9781665492812

Flexible sensors are one of the important components for future human-computer interaction, human motion monitoring, electronic skin and soft robotics. Capacitive pressure sensors have the characteristics of simple structure and high drift stability, but the detection range of the sensor is limited or the sensitivity quickly reaches saturation under high pressure. In order to improve the detection range of the sensor and the loss of sensitivity under high pressure, we use dust-free paper as the electrode of the sensor, and the dielectric layer adopts a combination of two porous materials with different elastic moduli (loofah-like polyurethane sponge and expandable Polyethylene), and a hybrid response mechanism was introduced to prepare a capacitive flexible pressure sensor. The sensor not only has good sensitivity but also has a wide detection range (3000kPa). In addition, the sensor is simple and convenient to manufacture, and is expected to be widely used in human motion monitoring, soft robots, etc. © 2022 ieee.

关键词： high detection range high sensitivity hybrid response mechanism

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Research on AC/DC Hybrid Distribution Network System Based on distributed Energy Access Technology

Research on AC/DC Hybrid Distribution Network System Based o...

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Power Electronics, Computer Applications (ICPECA), ieee international conference on

作者： Wu Yu Dong Zhi Li Zongfeng Guo Xinzhi State Grid Henan Electric Power Company Zhengzhou City Henan Province China State Grid Henan Economic Research Institute Zhengzhou City Henan Province China

This paper proposes a technical scheme for a new type of AC and DC energy storage system. The solution supports diversified development and provides flexible and diverse distributed energy orderly access services. An improved on-grid/off-grid droop single-mode switching control strategy is proposed based on the grid-connected distributed energy. The switching process is controlled by an improved nonlinear droop curve. This paper realizes the flexible access of distributed energy and electric vehicles based on the new physical structure of AC and DC distribution network of energy storage modules. The system can meet the needs of AC and DC users such as data centers and provide stable, high-quality and highly reliable energy supply. A smooth and seamless switch between on/off grid is achieved. The experimental simulation results verify the feasibility of the proposed strategy.

关键词： Power supplies Computer network reliability Simulation Process control Switches Distribution networks Control systems

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A shared computational model using distributed processing in a CPS enabled environment 3

A shared computational model using distributed processing in...

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3rd international conference on Inventive Research in computing Applications, ICIRCA 2021

作者： Narayanan, S. Krishna Dhanasekaran, S. Vasudevan, V. Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Srivilliputtur India

ISBN: (纸本)9780738146270

Cyber-Physical systems (CPS) usually include a mix of movable things, embedded computers, and systems to keep track as well as actuate together with the encompassing real life. These computing components are generally wireless, interconnected to talk about interaction and data with one another, with the server component, and with cloud computing expertise. When it comes to such a heterogeneous atmosphere, brand new uses develop in order to meet ever-increasing requirements as well as these're a crucial problem on the processing features of products. For instance, instant traveling methods, producing locations, wise community managing, and so on. In order to fulfill the demands of stated application program contexts, the device is able to make computing procedures to disperse the work above the system and also a cloud computing server. Several choices develop within relation to what network nodes must support the delivery of all of the procedures. This particular paper concentrates on this issue by introducing a sent-out computational design and dynamically discuss the activities among the computing nodes as well as thinking about the natural variability on the context inside the locations. The approach of ours encourages the integration of the computing online resources, with externally provided cloud expertise, to satisfy contemporary program demands. The outcome of the Proposed design satisfies the shared computation level with energy efficient schemes and aslo achieved the response level in good level. © 2021 ieee.

关键词： Internet of things

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A Probabilistic Multi-Stage UFLS Framework Considering distributed Generation with RoCoF Relays

A Probabilistic Multi-Stage UFLS Framework Considering Distr...

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international conference on Electrical Power and Energy systems (ICEPES)

作者： Sanjoy Debbarma Kingshuk Roy Siddhartha Deb Roy Liza Debbarma Department of Electrical Engineering NIT Meghalaya Shillong India Department of Electrical Engineering MANIT Bhopal Bhopal India

ISBN: (数字)9798350390728

ISBN: (纸本)9798350390735

The under frequency load shedding (UFLS) is considered to be the ultimate action (automated) to reinforce the frequency stability of the power system following extreme disturbances resulting in a remarkable frequency drop in the interconnected system. This article proposes a probabilistic multi-stage UFLS scheme that considers uncertainties such as generation deficiency, system inertia, and load damping. Monte Carlo Simulation is used to model the uncertainties of the power system parameters. The rate-of-change-of-frequency relays are activated to ensure the anti-islanding protection of distributed generators. The optimization problem is solved using particle swarm optimization, accounting for several system constraints. In this paper, four different UFLS strategies are studied based on various frequency decline criteria. Finally, the proposed UFLS framework is assessed on the ieee-39 bus system.

关键词： Damping Uncertainty Stability criteria Power system stability Probabilistic logic Relays Transient analysis

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