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Privacy-Preserving Publishing Mechanism for Real-Time Vehicle Trajectory in Vehicle-to-Grid Networks

Privacy-Preserving Publishing Mechanism for Real-Time Vehicl...

引用

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

作者： Yulong Wang Jianbo Xu Bo Gong School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

The Vehicle-to-Grid (V2G) network is a smart grid technology generated under the background of the rapid development of new energy technology, which allows mobile energy storage vehicles (MESVs) to realize bidirectional energy exchange with the grid system. As distributed energy storage units within the V2G network, MESVs help meet the grid's load-balancing demands. To accurately schedule grid loads, V2G networks rely on MESVs' real-time trajectory data. After collecting this data, the central authority (CA) publishes it to the grid enterprise (GM) for load-balancing decisions. However, before publication, the CA must process the data to protect the location privacy of MESVs and prevent GM from extracting sensitive information. To address this privacy protection challenge during data publication, we propose a differential privacy-based mechanism. Our mechanism uses the unscented Kalman filter to predict and correct the published data at the sampling point and intelligently adjusts the sampling interval. Additionally, we introduce a privacy budget allocation method based on regional access frequency and travel time, enhancing privacy protection of trajectory in high-access areas and peak hours. Through security analysis and experimental validation, our mechanism effectively preserves the privacy of real-time vehicle trajectory data while ensuring data validity.

关键词： Vehicle-to-grid Data privacy Privacy Publishing Real-time systems Trajectory Kalman filters Security Protection Radio spectrum management

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Design and implementation of a traveler positioning application navigation system based on ant colony algorithm with optical beacon 5

Design and implementation of a traveler positioning applicat...

引用

5th international conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： Ma, Yonghui School of Information Engineering Xi'an Fanyi University Shaan'xi Xi'an 710105 China

ISBN: (纸本)9781510691667

With the growing popularity of outdoor travel, the importance of navigation systems has become increasingly evident. This study aims to design and implement an outdoor travel location application navigation system based on ant colony algorithm. The research background and purpose are to address the limitations of traditional navigation systems in complex terrain and areas with insufficient signal coverage by utilizing the self-organizing characteristics of ant colony algorithm to improve the accuracy and reliability of navigation. Research methods include algorithm optimization, path planning strategy design, and field testing. The results show that the system can effectively plan the optimal path in complex terrain and maintain high navigation accuracy in regions with unstable signals. The significance of this study lies in providing a new navigation solution for outdoor travelers, enhancing travel safety and efficiency. Potential impacts include promoting the development of outdoor navigation technology, providing technical support for emergency rescue and geographic information systems, and laying the foundation for future intelligent navigation system development. In addition, this study also explored the applications of optical technologies in navigation systems, particularly how optical gyroscopes and photonics technologies improve navigation accuracy and reliability. © 2025 SPIE.

关键词： Ant Colony Algorithm field navigation navigation Optical Sensing system

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Research on Optimization of Efficient Building Air Conditioning Control system Based on Advanced Intelligent Algorithm

Research on Optimization of Efficient Building Air Condition...

引用

Electronics, Energy systems and Power engineering (EESPE), ieee international conference on

作者： Qingling Qiu Min Li Wuhan Business University Wuhan China Institute of Environmental Pollution Control and Low Carbon Materials Wuhan Business University Wuhan China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

Aiming at the balance between energy efficiency and comfort in modern building air conditioning control systems, this paper proposes an intelligent air conditioning control system optimized by PID control algorithm. By introducing single chip microcomputer as the core processing unit, the real-time monitoring and automatic control of building environment parameters are realized. The dynamic adjustment characteristic of PID control algorithm can quickly respond to environmental changes and effectively improve the operating efficiency of air conditioning system. In this paper, the PID parameters are fine-tuned, combined with the specific environmental conditions of the building, such as the flow of people, light intensity, and external temperature, to achieve more accurate temperature control. In addition, the stability and energy-saving effect of the optimized PID algorithm under different working conditions are verified by the model simulation of building air conditioning control system. The simulation results show that the intelligent control system can significantly reduce energy consumption, while maintaining the comfort of the indoor environment, which provides a strong technical support for the sustainable development of green buildings.

关键词： Air conditioning PI control Accuracy Heuristic algorithms Buildings Microcomputers Temperature control Indoor environment PD control Optimization

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Energy-Efficient MPC for SiC/GaN-Based Power Electronics in Consumer Device

Energy-Efficient MPC for SiC/GaN-Based Power Electronics in ...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Awais Khan Uzma Sarwar Bo Zhang College of Global Talents Beijing Institute of Technology Zhuhai Campus Zhuhai China School of Education Huanggang Normal university Hubei China College of Mech. & Control Engineering Shenzhen University Shenzhen Guangdong China

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This paper presents a novel approach to energy optimization in consumer electronic devices utilizing Silicon Carbide (SiC) and Gallium Nitride (GaN) based power electronics through the application of Model Predictive Control (MPC). As consumer devices increasingly demand higher energy efficiency, the integration of advanced semiconductor technologies such as SiC and GaN offers significant improvements in power conversion efficiency and thermal performance. This research focuses on developing a theoretical framework for MPC, specifically designed for the unique characteristics of these power electronics. The system is modeled mathematically and the MPC algorithm is designed to minimize energy consumption while maintaining device performance. The effectiveness of the proposed control strategy is validated through detailed simulations. The results indicate that the MPC approach significantly improves energy efficiency compared to traditional control methods, demonstrating its potential for widespread application in next-generation consumer electronics.

关键词： Silicon carbide Power electronics Energy efficiency Stability analysis Reliability Gallium nitride Thermal stability Optimization Consumer electronics Predictive control

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A Direct Current Tribovoltaic Nanogenerator-Driven Self-Charging Supercapacitor for Preventing Strain Injury

A Direct Current Tribovoltaic Nanogenerator-Driven Self-Char...

引用

ieee international conference on Micro Electro Mechanical systems

作者： Kumar Shrestha Gagan Bahadur Pradhan Jae Yeong Park Department of Electronic Engineering Kwangwoon University Seoul Republic of Korea

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

In this work, a DC tribovoltaic nanogenerator (TVNG) is newly developed by featuring a metal-semiconductor heterojunction, where charge carriers are generated at the interface during sliding, producing a DC signal in the direction of the electric field. The heterojunction is formed by aluminum (Al) metal and PEDOT: PSS semiconductor, with an IL/PVDF electrolyte sandwiched between the two aluminum electrodes to form a supercapacitor. When the supercapacitor gently slides over PEDOT: PSS, it is charged independently via the tribovoltaic mechanism and referred to as a self-charging supercapacitor. The TVNG delivers a power density of 9.2 mW/m 2 at a resistance of 10 kQ, successfully charging the supercapacitor (areal capacitance: 110 μF/cm 2 ) to 0.9 V. As proof of concept, the device was utilized to develop a recommendation system aimed at preventing injuries during prolonged computer use. This is an innovative work where a supercapacitor is directly charged by sliding over a semiconductor via a tribovoltaic mechanism, opening new avenues for further exploration in tribovoltaic technology.

关键词： Resistance Charge carriers Aluminum Supercapacitors Heterojunctions Real-time systems Electric fields Injuries Recommender systems Strain

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Harnessing AI Algorithms for Accurate Medical Diagnosis from Electronic Health Record

Harnessing AI Algorithms for Accurate Medical Diagnosis from...

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Interdisciplinary Approaches in technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Jyoti Nishant Tanisha Aggarwal Sumit Department of Computer Science and Engineering Chandigarh University Mohali India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

The integration of Artificial Intelligence into health care systems has really transformed the analyses and interpretations that medical professionals conduct with regards to Electronic Health Records. EHRs are full of patient data, which, when effectively used, may help enhance diagnostic accuracy and treatment outcomes. The current paper discusses the role of AI algorithms in processing and analyzing EHR data to enable accurate and timely medical diagnosis. Specifically, we look into various techniques and methods in machine learning and deep learning, including natural language processing for unstructured clinical notes and predictive modeling for disease detection. Our approach ultimately develops towards improving the accuracy of diagnosis by finding patterns or correlations within complex datasets, reducing rates of misdiagnosis, and most importantly ensuring that clinicians’ decision-making abilities would be bettered. We also discuss some challenges surrounding data quality, privacy issues, and the requirement for explainable AI to be operated in clinical environments where transparency is the key. We are going to be able to demonstrate how this system can help revolutionize diagnostics because of its automated nature, really improving patient care and healthcare workflows in the process.

关键词： Deep learning Data privacy Accuracy Decision making Predictive models Natural language processing Medical diagnosis Artificial intelligence Electronic medical records Diseases

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Sentiment Analysis in English-Punjabi Mixed Social Media Posts

Sentiment Analysis in English-Punjabi Mixed Social Media Pos...

引用

Interdisciplinary Approaches in technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Abhishek Tiwari Jiya Sehgal Mukhtiar Singh Ashutosh Mishra Dept. of Computer Science Engineering Chandigarh University Mohali Punjab India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

This paper presents a model that detects emotions in English-Punjabi code-mixed social media posts. The pervasiveness of multilingual code-mixed communication on social media platforms poses a significant challenge for sentiment and emotion analysis. Our work addresses this gap by developing a logistic regression-based emotion detection system that classifies posts into three divisions: positive, negative, and neutral. The data set used for this study comprises 37,805 training posts and 10,307 test posts, each labeled with an emotion. The model was trained and evaluated after preprocessing the code-mixed text data, including cleaning, stopword removal, and vectorization. The model attained an accuracy of 92% on the test dataset, exhibiting its effectiveness in handling code-mixed content. Furthermore, we implemented a real-time web interface using Streamlit, which allows users to classify the emotions of mixed English-Punjabi code posts. The promising results suggest that this approach can be beneficial in various implementations such as mental health tracking and sentiment analysis in multilingual contexts.

关键词： Sentiment analysis Emotion recognition Accuracy Social networking (online) Mental health Machine learning Real-time systems Cleaning Multilingual Monitoring

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Semantic Data Augmentation for Few-Shot Biomedical Named Entity Recognition

Semantic Data Augmentation for Few-Shot Biomedical Named Ent...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Ying Zhang Weihua Wang College of Computer Science Inner Mongolia University Hohhot China National and Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Hohhot China Inner Mongolia Key Laboratory of Multilingual Artificial Intelligence Technology Hohhot China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Biomedical Named Entity Recognition (BioNER) aims to identify and classify entities in biomedical text. This task struggles with data scarcity due to limited annotated data. Although data augmentation is effective, existing methods fail to handle the complex semantic mappings on biomedical terminology, which results in the generated samples lacking semantic diversity. In this paper, we propose a data augmentation method to create semantically diverse and coherent training samples for few-shot BioNER. The method utilizes the Unified Medical Language system (UMLS) for entity replacement and combines with a Masked Language Model (MLM) to generate contextually relevant words. Experimental results show that our method improves BioNER performance in few-shot scenarios. Compared to all baseline models, our method achieves an average F1 score improvement of 7.6% and 11.6% on the NCBI and JNLPBA datasets, respectively. Our source code and data are available at https://***/ABC8184/SDA

关键词： Training Terminology Biological system modeling Source coding Unified modeling language Semantics Named entity recognition Signal processing Data augmentation Speech processing

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Simulation-Based Optimization of Battery and Motor Configurations for Enhanced Efficiency and Sustainability in Electric Vehicles

Simulation-Based Optimization of Battery and Motor Configura...

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international conference on Electronics, Materials engineering and Nano-technology (IEMENTech)

作者： Samya Sarkar Avishek Mishra Akash Saha Rajat Shubhra Pal Electrical Engineering department Institute of Engineering & Management University of Engineering and Management Kolkata India Electrical and Electronics Engineering Department Institute of Engineering & Management University of Engineering and Management Kolkata India

ISBN: (数字)9798331520762

ISBN: (纸本)9798331520779

The transition to electric and hybrid vehicles is critical for achieving global sustainability goals and reducing environmental impact. This paper presents a simulation-based methodology for optimizing battery and motor selection in hybrid electric vehicle (HEV) systems, focusing on key performance metrics such as energy efficiency, range, costeffectiveness, and reliability. By systematically evaluating various battery and motor configurations, the study demonstrates significant improvements in energy consumption, extended driving range, and system durability. The model is created in MATLAB Simulink environment and examined under various circuit conditions.

关键词： Resistance Energy consumption Software packages Motors Mathematical models Batteries Hybrid electric vehicles Sustainable development MATLAB Optimization

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Compact 8-Channel Phased Array Stepped Impedance RF Coil for 9.4 Tesla Spinal Cord MRI

Compact 8-Channel Phased Array Stepped Impedance RF Coil for...

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Interdisciplinary Approaches in technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Saranya N Raja P Deepa T Janani R Raghavardhini K Vighneshwara B Department of ECE Sri Manakula Vinayagar Engineering College Puducherry India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

This article proposes a novel 8-channel Stepped Impedance Structure (SIS) RF coil for spinal cord imaging applications at 9.4 Tesla. The presented RF coil comprises eight stepped impedance structured elements arranged in a phased array configuration, each channel spaced 6mm apart on a 17 x 50 cm substrate. The SIS RF coil incorporates three distinct impedance levels and a capacitor-capacitor (CC) matching network to achieve resonance at 400 MHz. To evaluate the effectiveness of the designed RF coil, a comparative analysis of various spacing configurations specifically with 5mm and 10mm gaps between the channels of RF coil. The phased array RF coil functionality is assessed through S-parameter analysis, demonstrating a return loss of 36 dB at the operating frequency. The study confirms that the proposed RF coil achieves the desired frequency and performance characteristic making it an effective candidate for integration into the spinal cord MRI system.

关键词： Radio frequency Coils Phased arrays Technological innovation Spinal cord Magnetic resonance imaging Capacitors Resonance Impedance Substrates

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