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共 5105 条记录，以下是111-120 订阅

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Efficient Placement of distributed Generation for Loss Minimization via PSO Optimization 3

Efficient Placement of Distributed Generation for Loss Minim...

引用

3rd ieee international conference on Electrical Power and Energy systems, ICEPES 2024

作者： Gautam, Aranya Paliwal, Priyanka Arya, Anoop Maulana Azad National Inistitute of Technology Electrical Engg. Dept. Bhopal India

ISBN: (纸本)9798350390728

This paper presents a novel approach to enhance power system efficiency through the integration of distributed generation (DG) in the Bus 33 and 69 bus systems, employing Particle Swarm Optimization (PSO). The primary objective is to achieve maximum efficiency and loss reduction by determining the optimal size of DG units strategically placed at buses DG-1, DG-2, DG-3, and DG-4. The methodology leverages the PSO algorithm iteratively to identify the optimal configurations, minimizing power losses and maximizing system efficiency. The study employs both forward and backward sweep methodologies to comprehensively analyze the impact of DG integration on the power system. Results demonstrate that the proposed PSO-driven approach significantly enhances power system efficiency. Optimal sizing of DG units, particularly at bus 33 and 69, leads to a substantial reduction in power losses, contributing to overall system efficiency improvements. The forward and backward sweep methodologies validate the effectiveness of the proposed approach, providing a comprehensive understanding of the system's behavior. © 2024 ieee.

关键词： MATLAB

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Computational Analysis and Performance Optimization of Square Membrane Piezoresistive MEMS Pressure sensor 3

Computational Analysis and Performance Optimization of Squar...

引用

3rd ieee international conference on Power Electronics, Intelligent Control and Energy systems, ICPEICES 2024

作者： Suresh, M. Singh, Sadanand Rakshit, Nibedita Santhosh, Anirudh Varun Ram, S. Singh, Rishita Vit Bhopal University Seee Bhopal India

ISBN: (纸本)9798350387193

This paper presents the design and simulation of MEMS based piezoresistive pressure sensor for a pressure range of 0.2-1.4 MPa. The study focuses on two distinct models, sharing identical surface areas, device dimension and material properties, with variation's in piezoresistor positioning, for understanding the significance of positioning of sensing element on the diaphragm. The design and the analyzed pressure sensor parameters such as Von-mises stress, deflection, sensitivity and voltage outputs are obtained by using Intellisuite software. Simulation results depicts a remarkable voltage output of 35.25791 mV for the model featuring piezo resistors at corners, in contrast to 4.81223 mV for the model with piezo resistors at edges with 2V input bias at 0.2 MPa. Simulation result thus reveals that positioning of piezoresistor at corners have higher sensitivity in comparison to edges. The observed deflection changes reliably signify applied pressure. The results obtained contribute valuable insights to the optimization of sensor sensitivity, holding potential for significant advancements across diverse applications. © 2024 ieee.

关键词： Deflection (structures)

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EmoLeak: Smartphone Motions Reveal Emotions 43

EmoLeak: Smartphone Motions Reveal Emotions

引用

43rd ieee international conference on distributed computing systems (ICDCS)

作者： Mahdad, Ahmed Tanvir Shi, Cong Ye, Zhengkun Zhao, Tianming Wang, Yan Chen, Yingying Saxena, Nitesh Texas A&M Univ College Stn TX 77843 USA New Jersey Inst Technol Newark NJ 07102 USA Temple Univ Philadelphia PA 19122 USA Univ Dayton Dayton OH 45469 USA Rutgers State Univ New Brunswick NJ 08901 USA

ISBN: (纸本)9798350339864

Emotional state leakage attracts increasing concerns as it reveals rich sensitive information, such as intent, demo graphic, personality, and health information. Existing emotion recognition techniques rely on vision and audio data, which have limited threat due to the requirements of accessing restricted sensors (e.g., cameras and microphones). In this work, we first investigate the feasibility of detecting the emotional state of people in the vibration domain via zero-permission motion sensors. We find that when voice is being played through a smartphone's loudspeaker or ear speaker, it generates vibration signals on the smartphone surface, which encodes rich emotional information. As the smartphone is the go-to device for almost everyone nowadays, our attack based only on motion sensors raises severe concerns about emotion state leakage. We comprehensively study the relationship between vibration data and human emotion based on several publicly available emotion datasets (e.g., SAVEE, TESS). Time-frequency features and machine learning techniques are developed to determine the emotion of the victim based on speech vibrations. We evaluate our attack on both the ear speakers and loudspeakers on a diverse set of smartphones. The results demonstrate our attack can achieve a high accuracy, with around 95.3% (random guess 14.3%) accuracy for the loudspeaker setting and 60.52% (random guess 14.3%) accuracy for the ear speaker setting.

关键词： emotion recognition motion sensor side channel speech privacy

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Data Mining Framework for Discovering and Clustering Phenotypes of Atypical Diabetic Lung 3

Data Mining Framework for Discovering and Clustering Phenoty...

引用

3rd international conference on Smart Technologies and systems for Next Generation computing, ICSTSN 2024

作者： Lekshmy, S. Sridhar, K.P. Roberts, Michaelraj Kingston Karpagam Academy of Higher Education Coimbatore India Karpagam Academy of Higher Education Department of Electronics and Communication Engineering Centre for Interdisciplinary Research Coimbatore India Sri Eshwar College of Engineering Centre for Advances in Signal Processing and Wireless Sensor Networks Department of ECE India

ISBN: (纸本)9798350391565

The global diabetes epidemic has exposed significant clinical variability in diabetic patients, including phenotypes that defy accepted characteristics. Atypical diabetic phenotypes in lungs are sifting through numerous data sets to establish connections and identify patterns to use data analysis to solve a certain issue. This article presents the Data Mining Framework based on the Atypical Diabetes Prediction Model (DMFADPM), built on the Data Mining Framework to identify and group the characteristics of A.D. in lungs. Data Mining Framework is used to solve the main problems of improving the prediction model's accuracy and enabling the model's adaptation to multiple datasets. The exclusion and inclusion processes are the two components of the preprocessing steps that form the foundation of the data mining technique. The experimental analysis of the proposed method has obtained an accuracy of 98.9%, prediction ratio of 0.22%, gain ratio of 95%, information gain of 92%. © 2024 ieee.

关键词： Atypical Diabetes Data Mining Diabetic Complications lungs Prediction Model

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Immersive Dramatic Space 3D Layout Using Panoramic Image Reconstruction Algorithm 3

Immersive Dramatic Space 3D Layout Using Panoramic Image Rec...

引用

3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Zhang, Jiao Wang, Shengzhi Zhang, Lidan Liu, Mengfei School Of Design And Product Jilin Animation Institute Changchun China

ISBN: (纸本)9798350318609

The relevance of 3D techniques in a wide range of applications, such as augmented Reality (AR), architecture, and other commercial fields, has made rapid 3D reconstruction of the environment an important research issue. In this research, speeded up robust features (SURF) a unique technology that can generate an estimated 3D model of the environment on a mobile smartphone in a matter of seconds. Large field-of-view images necessary for dependable and strong reconstruction are generated from a set of panoramic images captured by a very quick and adaptable algorithm. Dense, polygonal, textured representations are obtained by using a low-cost online space carving technique depend on Delaunay triangulation. Through the experimental result, this implemented method is compared with existing method of Panorama luminance attentive network (panoLANet) method. This implemented method's outcomes achieved better values of 30.50 of Peak signal-to-noise ratio (PSNR), 0.955 of structural similarity index measure (SSIM), 44.71 of Vendor Development Program (VDP), and 1.10 of Mean Squared Error (MSE). © 2024 ieee.

关键词： Augmented reality

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Application of Indoor Motion Measurement Technology based on SLAM Algorithm in Underground Engineering 3

Application of Indoor Motion Measurement Technology based on...

引用

3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

作者： Lu, Qiang Chong Qing Vocational Institute of Engineering Chong Qing4022260 China

ISBN: (纸本)9798350319125

SLAM technology is one of the important technologies in modern robot, automatic driving and other fields, which can carry out autonomous positioning and map building in unknown environment. In indoor motion measurement, SLAM algorithm also plays an important role, and its role and influence can be analyzed from the following aspects: Then, the visual sensor is used to measure the indoor movement of the underground project, form the indoor movement measurement scheme, and measure the indoor movement Conduct a comprehensive analysis. The formula estimation shows that under the condition of a certain measurement standard, the SLAM algorithm is a measurement technology for indoor movement of underground engineering The accuracy and the application time of indoor mobile measurement technology are better than the AMCL algorithm. © 2023 ieee.

关键词： AMCL algorithm SLAM algorithm underground works vision sensor

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Experimental Research on Temperature Consistency of Lithium-ion Battery Module 3

Experimental Research on Temperature Consistency of Lithium-...

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3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Bi, Chunxue Lv, Dian Chen, Jiyong He, Binghui Zheng, Honghong Ouyang, Ligeng CATARC Automot Inspect Ctr Guangzhou Co Ltd CATARC Guangzhou Guangdong Peoples R China

ISBN: (纸本)9798350375145;9798350375138

In this paper, a 226Ah type lithium-ion power battery module is taken as the research object, the temperature differences across various temperature sensor layout positions are studied, and the feasibility of the existing temperature sensor layout is verified. The test results show that the temperature of conductive aluminum bar is lower than the temperature of the large surface of the cell core, and the maximum temperature difference is maintained at 2 degrees C under the working condition of less than 1/3C charge-discharge ratio. For driving durable super-power conditions, the temperature of conductive aluminum bar is higher than the large surface temperature, and the maximum instantaneous temperature difference is 5.2 degrees C. The core temperature of the existing temperature sensor layout scheme does not exceed the maximum monitored value. The instantaneous temperature difference under super power conditions will lead to the discharge power of the cell exceeding the actual capacity, but the pre-undervoltage control strategy of the battery management system will not allow the cell overdischarge, the risk of the existing temperature sensor layout scheme of the battery module structure is controllable. The test results can also provide reference for thermal management system design of power battery system.

关键词： Lithium-ion battery module Temperature sensor Temperature difference Thermal management

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A lightweight distributed processing computer system 3

A lightweight distributed processing computer system

引用

3rd ieee international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Xu, Zhenpeng Li, Weiwei Yin, Jinyong Automation Research Institute Department of Computer Jiangsu Lianyungang China

ISBN: (纸本)9798350398410

For the needs of real-time parallel processing of critical task and real-time state control in muti-node computing system, a lightweight distributed processing computer mechanism is designed for iterative computing type tasks based on theoretical techniques such as memory computing and distributed computing. Using the feature of distributed collaborative processing, the data is deployed to different nodes to reduce the burden of each node and. To support continuous computational iterations, temporary data for each computation is temporarily stored in memory to reduce the disk IO access time during the iteration. Before the start of the whole task, the transformation relationship between the saved data is defined by generating the run plan graph of this task. In addition to load balancing of processing nodes, a balanced scheduling mechanism of control nodes is introduced to monitor the operation status of each node in real time through load balancing and control the deployment of computation tasks. Tests show that the designed lightweight computing mechanism outperforms the traditional distributed computing mechanism. In addition, the performance outperforms the mainstream memory-based distributed computing mechanism when carrying multiple tasks. © 2023 ieee.

关键词： Edge computing

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Proceedings of the 3rd ieee international conference on Micro/Nano sensors for AI, Healthcare and Robotics, NSENS 2024

Proceedings of the 3rd IEEE International Conference on Micr...

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3rd ieee international conference on Micro/Nano sensors for AI, Healthcare and Robotics, NSENS 2024

ISBN: (纸本)9798350375213

The proceedings contain 27 papers. The topics discussed include: high performance conductive composite hydrogel interface for epidermal electrophysiological monitoring;implementation of Kirigami design in flexible wearable electronic by laser cutting for conformability;cuffless continuous BP monitoring from photoplethysmography signals using UNET and attention mechanism;composite graphene/Cu pressure sensor with one-step laser-fabricated microstructure: a one stone two birds strategy;an active interface pressure adapter for enhancing sensing capacity and stability of wearable electronics;3D porous stacked organic electrochemical transistor for wearable glucose sensing: enhancing comfort, breathability, and real-time monitoring;tracking of dual gas concentration using carbon nanotubes based reservoir computing;and a novel fluid classification unit based on moisture electricity generation mechanism.

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Smart sensor for Online Vibration Monitoring of Hydropower Dam Based on Butterfly MEMS Accelerometer 3

Smart Sensor for Online Vibration Monitoring of Hydropower D...

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3rd international Symposium on sensor Technology and Control, ISSTC 2024

作者： Sun, Yingqi Zhang, Han Yao, Mengdi Wang, Yining Qian, Weiwei NARI Group Corporation State Grid Electric Power Research Institute Nanjing China China Three Gorges Corporation Wuhan China China Three Gorges Construction Engineering Corporation Wuhan China Hunan eNavigate Tech. Co. Ltd Changsha China

ISBN: (纸本)9798331541637

Aiming at the increasing demand for smart sensor in online vibration monitoring of hydropower dam, a smart sensor is developed using MEMS sensing technology and distributed networking technology. Equipped with a high performance Cortex-A55 SOC and a low power Cortex-M3 MCU, the smart sensor adopts a novel software and hardware architecture to achieve real-time vibration monitoring and edge computing. In order to achieve self-identification, self-description, and interoperability of the smart sensor, a tailored IEC61850 communication model is used. The vibration of the hydropower dam is sensed by three single axis butterfly MEMS accelerometers inside the smart sensor. Experiments were undertaken to verify the performance of the smart sensor within the range of 0.5 Hz to 50 Hz. A sensitivity amplitude linearity of 3 % and sensitivity frequency response of 5% is achieved. © 2024 ieee.

关键词： Dams

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