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检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

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Data-Driven Decision Making in Smart Health and Emergency Management

Data-Driven Decision Making in Smart Health and Emergency Ma...

引用

ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： K. Sudharson K. Selvi V. Ramu V. Monika A. SureshKumar S. Nagarajan Department of AIML R.M.D. Engineering College Chennai India Department of MBA S.A. Engineering College Chennai India Department of MBA Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College Chennai India Department of MBA Vel Tech Ranga Sanku Arts College Chennai India Department of MBA Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

Phenomena such as smart health and emergency management systems when embedded with data-driven decision-making have become a game-changer in the field of healthcare and an emergency response. In this paper, we investigate the use of advanced data analytics, machine learning algorithms and real-time data processing in improving decision-making activities in these domains. Using data from a diverse set of large datasets such as EHRs, wearables, emergency response systems etc., we hope to build predictive models and decision support systems which can help save lives by predicting the epidemic before it peaks saving valuable time when every minute counts. The research also deals with issues such as data privacy, interoperability and real-time data integration. Early findings suggest large efficiencies and effectiveness gains in health and emergency management, showing the game-changing potential of datadriven solutions in their domains.

关键词： Epidemics Machine learning algorithms Smart healthcare Machine learning Predictive models Emergency services real-time systems Wearable devices Sustainable development Interoperability

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Abnormal Network Traffic Detection Based on Multi-Pooling Cascaded MPCNN

Abnormal Network Traffic Detection Based on Multi-Pooling Ca...

引用

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

作者： Kefeng He Yarong Shi China Engineering Group Gansu Electric Power Design Institute Co. Ltd. Lanzhou China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Traditional network traffic detection methods based on machine learning have been widely used, but the accuracy of identifying and detecting abnormal traffic is not high. Compared with machine learning methods, deep learning has made significant progress in fields such as text processing, video generation, and other fields, bringing new ideas to abnormal traffic detection. This paper adopts an abnormal traffic classification method based on multi-pooling cascaded convolutional neural network (MPCNN). The accuracy of extensive experiments is 0.9914, the precision is 0.9984, and the F1 score is 0.9962. These experiments achieved the company's goal of accuracy greater than 0.98. It is used for real-time monitoring of daily network traffic to recognize abnormal traffic virtually, alert topic timely, and prevent potential network threats.

关键词： Accuracy Telecommunication traffic Companies Network security Feature extraction Data models real-time systems Power electronics Protection Text processing

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Evaluating the Performance of ieee 802.15.4g for Smart City applications

Evaluating the Performance of IEEE 802.15.4g for Smart City ...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Pavithra Arcot Dhivya G Kartheek Inti Nalla Kranthi Kumar Konisetti Murali V Krishna Karuturi Gopal Babu Dennis Joshua D Poonguzhali P IoE & Embedded Systems Group Centre for Development of Advanced Computing Chennai India Department of ECE Amrita Vishwa Vidyapeetham Chennai India

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

The demand for Low Power Wide Area Network (LPWAN) solutions stems from the need for low data rate, long-range, and energy-efficient connectivity. LPWAN technologies are ideally suited for Smart City applications, where small amounts of data are transmitted infrequently over extended distances. Proprietary LPWAN technologies like LoRa, Sigfox, and Ingenu often require dependence on a specific company's infrastructure and ecosystem. In contrast, open LPWAN standards offer significant benefits, including enhanced interoperability, cost savings, flexibility, and innovation. They foster market competition, reduce reliance on individual vendors, and support the development of a diverse, compatible ecosystem of IoT devices and services. ieee 802.15.4g is an open LPWAN standard that provides several advantages over proprietary LPWAN technologies. This paper provides a performance analysis of ieee 802.15.4g in outdoor environments. The study assesses the performance by measuring the packet error rate (PER) in various outdoor conditions. The results of the PER measurements are used to establish the maximum communication range between the transmitter and receiver.

关键词： ieee 802.15 Standard Performance evaluation Technological innovation Smart cities Error analysis Transmitters Ecosystems Receivers Standards Low-power wide area networks

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An image processing-based method for determining the geometry transmission ratio of a continuously variable transmission gearbox

An image processing-based method for determining the geometr...

引用

international Symposium on Applied Science 2024, ISAS 2024

作者： Tran, Dang Long Do, Tri Nhut 268 Ly Thuong Kiet Street District 10 Ho Chi Minh City Viet Nam Department of Embedded Systems and Robotics Faculty of Computer Engineering University of Information Technology Thu Duc City Ho Chi Minh City71308 Viet Nam Vietnam National University in Ho Chi Minh City Linh Trung Ward Thu Duc City Ho Chi Minh City71308 Viet Nam

Nowadays, many applications based on image processing methods are deployed to bring convenience to use due to its outstanding superior features. This paper proposes an image processing-based method for determining the geometry transmission ratio of a continuously variable transmission (CVT) gearbox made up of a push-belt and two pulleys with synchronized width adjustments. The proposed method is demonstrated by many experiments on a real system consisting of 1 Logitech C992 Pro Webcam camera and 1 CVT gearbox. The experiments were conducted on more than 100 images. The experimental results show that the method's error is between 6% and 8%, and the average processing time of 1 image is 0.07 seconds. This error depends on whether the camera position is parallel to the CVT gearbox's cross-sectional plane or not. Furthermore, the reliability of the method is evaluated by the RMSE method up to 99%. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Gears

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Method of Tracking Inclined Geosynchronous Orbit Satellite for Satcom on-the-Move Antenna

Method of Tracking Inclined Geosynchronous Orbit Satellite f...

引用

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

作者： Chao Qin Lianwu Guan Yanbin Gao Shuo Zhang Yuanqing Huang Yihuan Wang College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

The Inclined Geosynchronous Orbit (IGSO) satellite has garnered significant attention for its extensive coverage and high-latitude capabilities. Traditionally, tracking methods rely on Two Line Element (TLE) data for satellite position prediction. To decrease reliance on external TLE data and avoid the complex orbit prediction algorithms, this paper conducts an in-depth analysis of the orbital characteristics of IGSO satellites and the accuracy of TLE-based predictions. A tracking method that employs curve fitting is proposed. Experiment results indicate that the tracking accuracy of this method surpasses 0.1°.

关键词： Satellite antennas Satellites Accuracy Tracking Simulation Prediction algorithms Orbits real-time systems Reliability Curve fitting

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Overview of Accent Conversion Techniques Based on Deep Learning

Overview of Accent Conversion Techniques Based on Deep Learn...

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international Image Processing, applications and systems conference (IPAS)

作者： Aayam Shrestha Seyed Ghorshi Issa Panahi Department of Electrical and Computer Engineering The University of Texas at Tyler Tyler Texas USA Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson Texas USA

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

In modern communication, speech technology plays a vital role, with accent being one of the key features that reflects the nuances of spoken technology. However, differences in accent can make communication difficult, especially in global contexts like language learning and human computer interaction. Accent conversion approaches often solve these issues by transforming the accent of speaker to that of the other speakers, while maintaining linguistic information and speaker identity. This technology holds great applications to speech recognition, language learning, and cross-lingual communication. This paper explores the use of advanced deep learning techniques in accent conversion systems which have improved both the naturalness and intelligibility of converted speech. Additionally, we discuss the methods generally used for performance evaluation of these systems.

关键词： Deep learning Adaptation models Accuracy Reviews Vocoders Speech recognition Phonetics Speech enhancement Semisupervised learning real-time systems

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Adaptive Flight Stabilization System using Proportional Integral Derivative (PID) Control and Sensors

Adaptive Flight Stabilization System using Proportional Inte...

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Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Divya Dharshini M Muthuselvi S Ramya R Devaki M Department of Electrical and Electronics Engineering Velammal College of Engineering and Technology Madurai

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

This paper presents the design and development of a low-cost flight stabilizer using an Arduino microcontroller and an MPU- 6050 accelerometer and gyroscope sensor to address instability issues in small unmanned aerial vehicles (UAVs). The primary challenge tackled in this study is the accurate measurement and real- time compensation of external disturbances affecting aircraft orientation. To achieve this, the proposed system continuously acquires accelerometer and gyroscope data to compute pitch, roll, and yaw, which are processed through a PID (Proportional- Integral-Derivative) control algorithm for precise motor adjustments. Key challenges such as sensor calibration errors, noise filtering, and response lag are systematically analyzed and mitigated through optimized signal processing techniques. Experimental results validate the system’s effectiveness in maintaining stable flight under dynamic conditions, demonstrating that low-cost embedded systems can provide reliable flight stabilization for small UAV applications.

关键词： Accelerometers Accuracy Signal processing algorithms Autonomous aerial vehicles Stability analysis real-time systems Gyroscopes Aircraft Vehicle dynamics Monitoring

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Conformal Ultrasound Patch for real-time Blood Flow Monitoring

Conformal Ultrasound Patch for Real-Time Blood Flow Monitori...

引用

ieee international conference on Micro Electro Mechanical systems

作者： Taemin Lee Jongcheol Park Il-Seop Kim Sangho Bang Joontaek Jung Hyunjoo J. Lee School of Electrical Engineering Korea Advanced Institute of Science and Technology Korea Office of Nano Convergence Technology National NanoFab Center Korea Healcerion Co. Ltd. Korea

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

Wearable ultrasound systems are opening up new ultrasound applications that were previously not possible with conventional handheld probes, such as continuous blood flow monitoring, which address unmet clinical needs. The wearable ultrasound systems are rapidly advancing in terms of array order, array size, conformality with human skin, and form factors. Despite these advancements, current fabrication and packaging methods remain time-intensive and lack scalability, while the acoustic interface is inefficient for prolonged monitoring sessions. To address these issues, we present a two-dimensional (2D) conformal ultrasound patch developed for real-time continuous blood flow monitoring. A 2D conformal ultrasound patch is fabricated through a stable and efficient anisotropic conductive film (ACF) bonding and packaged with a silk layer which serves both as an adhesive and as an effective acoustic interface, enhancing long-term usability. A single element of the 2D array exhibits a transmit sensitivity of 5.7 kPa/V pp and a receive sensitivity of 2.4 mV pp /kPa, which is 8.7 times higher than that of a commercial hydrophone. These acoustic properties are sufficient to monitor blood flow at 2 cm depth of the skin.

关键词： Fabrication Ultrasonic imaging Sensitivity Acoustics real-time systems Skin Biomedical monitoring Probes Monitoring Blood flow

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Health Status Assessment Method Based on Entropy-Variable Weight TOPSIS Fuzzy Comprehensive Assessment for Substation UAV

Health Status Assessment Method Based on Entropy-Variable We...

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

作者： Yucheng Qian Changwei Zhao Weiming Huang Shudong Wang Institute of Electric Power Science State Grid Anhui Electric Power Co. Ltd Hefei China Equipment Management Department State Grid Anhui Electric Power Co. Ltd Hefei China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

In order to ensure the long-term stable operation of substation Unmanned Aerial Vehicle (UAV), a UAV health status assessment method based on the entropy weight-variable weight Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) fuzzy evaluation is proposed in this paper. By selecting operational evaluation parameters, the ideal positive and negative solution vectors of UAV flight parameters are analyzed and calculated, and the real-time health indicators of UAVs are obtained by calculating the distance of UAV real-time operational parameters to the ideal and anti-ideal solution vectors. Considering that the impact of abnormal individual operational parameters on UAV health status may be obscured by health indicators, variable weight theory is introduced to modify the abnormal indicators, making the assessment results more accurate. Health status levels are established, and the obtained health indicators are mapped to different health status levels, achieving the health status assessment of UAVs at substations. Case study results show that the proposed method intuitively provides the overall health status level of UAVs and is easy to implement in engineering.

关键词： Substations Accuracy Computer applications Autonomous aerial vehicles Vectors real-time systems Power electronics Entropy

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A Bilinear Source Separation, Dereverberation, and Background Noise Suppression Algorithm for Augmented reality applications

A Bilinear Source Separation, Dereverberation, and Backgroun...

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

作者： Alon Nemirovsky Gal Itzhak Israel Cohen Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology Haifa Israel

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

This paper introduces a new bilinear algorithm that combines distortionless response beamforming with weighted prediction error using the Kronecker product operator to improve speech signal quality in different acoustic environments. The algorithm utilizes recursive least squares cost functions and handles real dynamic, noisy, and reverberant conditions effectively. Compared to a recently proposed approach, our approach outperforms separating the desired source from undesired sources while providing dereverberation and noise suppression. It is also preferable regarding the quality of the enhanced signals it produces. In contrast, it exhibits a more considerable desired signal distortion and reduced intelligibility. The algorithm’s computational efficiency and robustness make it suitable for real-time applications, as validated using real recordings from the SPeech Enhancement for Augmented reality (SPEAR) challenge.

关键词： Acoustic distortion Heuristic algorithms Signal processing algorithms Speech enhancement Prediction algorithms real-time systems Robustness Recording Background noise Augmented reality

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