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共 36882 条记录，以下是351-360 订阅

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Research on Noise Suppression and Signal Enhancement in Electricity Price Anomaly Detection

Research on Noise Suppression and Signal Enhancement in Elec...

引用

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

作者： Xinru Chen Sa Zhao State Grid Shanghai South Power Supply Company Shanghai China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

As the key economic index of electricity market, electricity price is directly affected by the change of supply and demand balance. However, there are often various noises in the actual electricity market data, which makes the detection of electricity price anomalies difficult. Through effective noise suppression and signal enhancement, this paper proposes a method called PRO-WOA, which combines whale optimization algorithm and wavelet transform to achieve noise suppression and signal enhancement in power price anomaly detection. Taking the actual power trading data of a province in 2022 as the research object, we conducted comparative experiments on different models. The results show that PRO-WOA performs well in forecasting accuracy and real-time performance, significantly outperforming other comparison models.

关键词： Wavelet transforms Accuracy Electricity Biological system modeling Noise reduction Predictive models Electricity supply industry real-time systems Whale optimization algorithms Anomaly detection

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time-Constant Induced Memory Effect for Biomedical Radar Vital Signs Detection

Time-Constant Induced Memory Effect for Biomedical Radar Vit...

引用

ieee MTT-S international Microwave Bio conference ((IMBIOC)

作者： Syed Doha Uddin Christopher Williams Changzhi Li Electrical and Computer Engineering Texas Tech University Lubbock Tx USA

ISBN: (数字)9798331510473

ISBN: (纸本)9798331510480

applications of Doppler radar for vital signs have been studied and investigated for a long time, and significant strides towards implementing Doppler radar sensors for such applications have been made in recent years. Designing optimum hardware component values for AC coupling and baseband signal amplification for radar sensing applications remains challenging. The selection of capacitor value for $A C$ coupling has a significant impact on the accuracy of small movement detection due to the memory effect induced by the time constant. In this paper, a study on the induced timeconstant memory issue on data due to intermittent shifts in signal from radar has been conducted, and analysis regarding the correct selection of capacitor values to mitigate the problem is proposed via simulation and verified by experimental analysis.

关键词： Couplings Resistors Baseband Accuracy Capacitors Radar detection real-time systems Doppler radar Sensors Microwave amplifiers

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Research and Development of Unmanned Vehicle System for Efficient Collection of Substation Accident Information

Research and Development of Unmanned Vehicle System for Effi...

引用

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

作者： Renyi Xia Li Chen Qinwen Xia Qiongliang Chen Bingwei Gao Ziyi Zhao State Grid Wenzhou Power Company Wenzhou China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

We first discussed the latest achievements at home and abroad. The research on the door of protective panel cabinet with interactive mechanical arm is carried out. The study of the interaction between the protection device and the unmanned vehicle is carried out to realize the trip information image acquisition. We made a research on autonomous navigation and dynamic path planning of unmanned vehicles. The technique of fault location based on spectrum and sound spectrum is studied. A set of integrated unmanned vehicle system for substation accident information collection is proposed to realize timely response, real-time extraction and accurate research and judgment of fault information, and improve the level of intelligent operation and inspection of substation.

关键词： Substations Inspection Fault location real-time systems Power electronics Path planning Vehicle dynamics Protection Research and development Accidents

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Rise of Diversity of Internet of Things (IoT): A Review

Rise of Diversity of Internet of Things (IoT): A Review

引用

2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Sobana, P. Yaiaman, Gummagatta Vybhavi Kumar, A. Pradeep Karthi, S. Almusawi, Muntather Rani, Hema Sethu Institute of Technology Department of Computer Science Engineering Pulloor Tamil Nadu Kariapatti626115 India Gokaraju Rangaraju Institute of Engineering and Technology Department of Cse Telangana Hyderabad India Cmr College of Engineering & Technology Department of Ece Telanagana Hyderabad India Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil nadu Chennai India College of technical engineering The Islamic University Department of computers Techniques engineering Najaf Iraq Centre for Managament studies Gitarattan International Business School Delhi India

ISBN: (纸本)9798331527495

It has been established for a long time and has evolved correspondingly that actuators and sensor systems may be connected to the internet for the purpose of continuously monitoring and controlling biological phenomena. The term 'Internet of Things (IoT)' was first used to combine these methods into a coherent framework a little more than a decade earlier. The IoT based idea has evolved along with science, adopting new vocabulary that is suited for technical advancements and many applications sectors. The IoT has undergone modifications since its inception, and this study examines studies on how technical advancements have transformed it as well and encouraged the emergence of modified terms appropriate for certain fields. A three separate study of the literature was done using games companies and classification data warehouses. First step involved looking for proposed changes on the Iot devices principle & evaluating them to compute the similarity, disparities, and functionality that enable us to generate a number of links its progression. The 1st step involved identifying and briefly assessing the much more common names handed to it IoT for multiple areas. As underpinning innovation continues to advance and software update areas are put out, the research supports the assertion that a consensus on the IoT concept is still not established. With information and information solutions playing an important role in the panorama, recent developments have been somewhat restrained and its variants on possible applications are distinct. © 2025 ieee.

关键词： Labeled data

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Research on Speech Recognition Model Optimization and real-time Speech Interaction System Based on Deep Learning

Research on Speech Recognition Model Optimization and Real-T...

引用

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

作者： Dongyu Jiang Xiaoting Yu Harbin Huade University Harbin China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Voice recognition has been widely used in intelligent human-computer interaction, especially in the areas of voice assistant, intelligent house and autonomous driving. Due to the rapid development of deep learning, the precision and applicability of speech recognition have been greatly improved. However, in the complicated noise environment, different accents and high speed of speech, there are some problems in traditional speech recognition systems, such as poor recognition precision and slow response. In order to solve these problems, a novel voice recognition model is proposed, which combines CNN with self-attention. The model uses CNN to extract the local characteristics of voice signals, and then makes use of Transformer's self-attention mechanism to model the long-term dependency of voice data, so as to improve the precision and robustness of voice recognition. Experiments show that the proposed model achieves over 95% recognition accuracy over HMM-based speech data sets, which is 15% higher than the conventional one. Moreover, the proposed model has a good performance in real time speech interaction systems, and it can react rapidly and achieve high efficiency in speech recognition. Compared with the traditional methods, the proposed system is more adaptable in complicated environment, and it can deal with various kinds of background noise, speed difference and accent variation.

关键词： Deep learning Training Adaptation models System performance Hidden Markov models Speech recognition Transformers Data models real-time systems Optimization

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Exploring Traffic Signal Control: A Comprehensive Survey on Reinforcement Learning Techniques

Exploring Traffic Signal Control: A Comprehensive Survey on ...

引用

Industrial Electronics: Developments & applications (ICIDeA), ieee international conference on-

作者： K. ThamaraiSelvi Asha Rani Bohra Vishal V Pawan Sai Sunkara Balaji Sunku Bhavsar NityaJignesh Department of Information Science and Engineering New Horizon College of Engineering Bangalore India Department of Computer Science and Engineering New Horizon College of Engineering Bangalore India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

Urban traffic congestion at intersections poses a significant challenge, leading to inefficiencies in traffic flow and increased wait times. Traditional fixed-timer traffic signal systems fail to adapt to fluctuating traffic volumes, exacerbating congestion during peak hours and leading to unnecessary delays during off-peak hours. Reinforcement Learning (RL) offers a promising solution by enabling traffic signal control systems to dynamically adjust signal timings based on real-time data. This paper surveys the current state of traffic signal control systems, highlighting the advantages of RL-based methods and presenting future directions for improvement, including the integration of Internet of Things (IoT) devices, advanced RL algorithms, and enhanced pedestrian detection systems. Through a comparative analysis of existing methods, we propose future enhancements that can further optimize urban traffic management.

关键词： Surveys Adaptation models Pedestrians Smart cities Biological system modeling Reinforcement learning real-time systems Internet of Things Sustainable development Traffic congestion

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Artificial Intelligence-Enhanced Multi-Lead ECG Monitoring for Early Cardiovascular Disease Detection and Cuffless Blood Pressure Estimation in Smart Healthcare

Artificial Intelligence-Enhanced Multi-Lead ECG Monitoring f...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Wai-Chi Fang Ya-Chin Lo Institute of Electronics National Yang Ming Chiao Tung University Hsinchu Taiwan College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study introduces an AI-driven multi-lead ECG real-time monitoring system designed for cardiovascular disease detection and blood pressure estimation, integrated within the framework of smart healthcare. By utilizing deep learning techniques, particularly Convolutional Neural Networks (CNNs), the system accurately detects Premature Ventricular Contractions (PVCs) from multi-lead ECG signals, significantly improving diagnostic precision. Additionally, it implements a cufftess blood pressure estimation method by combining ECG and photo-plethysmography (PPG) signals through Pulse Transit time (PTT) features. The system is deployed on the Nvidia Jetson Nano embedded platform, offering real-time processing, low power consumption, and continuous monitoring, which is ideal for remote health management. Experimental results highlight its ability to enhance early detection of cardiovascular conditions, showcasing its integration within smart healthcare systems to support personalized health management and remote monitoring.

关键词： Deep learning Estimation Medical services Electrocardiography Blood pressure real-time systems Cardiovascular diseases Convolutional neural networks Biomedical monitoring Remote monitoring

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Sign Language to Speech: the Role of Conversion Gloves in Enhancing Communication

Sign Language to Speech: the Role of Conversion Gloves in En...

引用

Smart systems for applications in Electrical Sciences (ICSSES), international conference on

作者： Nagaraja B G Sohan B Amrutha H Impana K Harshhitha G M E&CE Department Vidyavardhaka College of Engineering Mysuru Karnataka India

ISBN: (数字)9798331507671

ISBN: (纸本)9798331507688

Individuals with speech disabilities often rely on sign language for communication; however, a significant challenge arises when interacting with people who are unfamiliar with it, creating a communication barrier. This study proposes a costeffective solution to address this issue by developing smart gloves that enable speech-impaired individuals to communicate more effectively. The system utilizes gloves embedded with flex and motion sensors to detect various sign language gestures. These sensor readings are processed using an Arduino UNO, which transmits the data to an Android device via a Bluetooth module. Gesture recognition is based on pre-defined patterns corresponding to specific sign language gestures, ensuring efficient processing with minimal latency. While the current prototype focuses on American sign language (ASL), it can be adapted for other sign language variants with appropriate calibration. The system aims to bridge the communication gap by translating users' gestures into text and converting the text into speech, providing a practical and portable solution for real-world scenarios. Challenges related to gesture recognition accuracy, sign language variations, and real-time translation latency are acknowledged, with potential improvements discussed for future work.

关键词： Resistors Sign language Translation Flexible printed circuits Synthesizers Prototypes Speech enhancement Smart systems real-time systems Text to speech

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Evolution of Wearable Healthcare Technology: Opportunities, Challenges and applications

Evolution of Wearable Healthcare Technology: Opportunities, ...

引用

Sentiment Analysis and Deep Learning (ICSADL), international conference on

作者： Rohit Bokde Pragati Dongare Datta Meghe College of Pharmacy Datta Megha Institute of Higher Education and Research Wardha India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523930

The rapid development and increasing popularity of wearable technologies have drawn substantial attention from firms seeking to expand into new markets and innovate in the healthcare industry. As electronic devices embedded in clothing and accessories, wearable technologies have farreaching applications, with healthcare being a very promising area. Wearable technologies allow real-time monitoring of health through intelligent sensors that send personal health information to connected devices, enabling timely medical interventions. As wearable health technologies move from personal convenience to vital community health devices, their uptake has accelerated among consumers and companies alike. This research discusses the market prospects of wearable health devices. The research considers the innovation of smartwatches and smart medical devices, investigating their technological advancements, market expansion, and prospects for the future. As consumers increasingly seek products that improve quality of life, provide real-time health information, and enable preventive care, the wearable healthcare device market offers substantial opportunities for healthcare providers and manufacturers.

关键词： Wireless communication Technological innovation Sentiment analysis Patient monitoring Power demand Medical services Transforms real-time systems Biomedical monitoring Wearable devices

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RoboCup Soccer Autonomy Uprising: How Crowds, Referees, and Humanoid Robots Are Redefining the Future of Human-Robot Interaction 25

RoboCup Soccer Autonomy Uprising: How Crowds, Referees, and ...

引用

ACM/ieee international conference on Human-Robot Interaction (HRI)

作者： Filippo Sanfilippo Timothy Wiley Rebekah Rousi Dept. of Engineering Sciences University of Agder Grimstad Norway School of Computing Technologies RMIT University Melbourne Australia School of Marketing and Communication University of Vaasa Vaasa Finland

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

This paper explores the dynamics of Human-Robot Interaction (HRI) in public spaces, focusing on how humanoid robots engage with human crowds in the competitive RoboCup Soccer environment. We examine the role of spectatorship, where emotional engagement arises through indirect observation of engineering-driven competition, drawing parallels between human soccer and robot sports. The potential for autonomous systems to elicit collective emotions and systematically study such experiences is investigated. Using the Autonomy Levels for Unmanned systems (ALFUS) framework, we assess RoboCup soccer robots' autonomy in terms of mission complexity (MC), environmental complexity (EC), and external system independence (ESI). Additionally, the Autonomy and Technology Readiness Assessment (ATRA) method supports gradual capability enhancement, providing a roadmap to higher autonomy. Based on this established methodology, we introduce the Robot-Crowd Interaction Framework (R-CIF), a novel conceptual framework defining the roles of actors involved, to connect theoretical insights with real-world applications. This work highlights the significance of crowd affectivity in robotic sports to boost public engagement and proposes directions for future research on collective emotional dynamics in HRI.

关键词： Surveys Human-robot interaction Humanoid robots Focusing real-time systems Complexity theory Robots Standards Research and development Sports

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