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A Role of Wearable Health technology in Smart Cities 3rd

A Role of Wearable Health Technology in Smart Cities

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3rd international conference on Computational Electronics for Wireless Communications, ICCWC 2023

作者： Chauhan, Ritu Kaur, Harleen Mehta, Khushi Alankar, Bhavya Artificial Intelligence and IoT Lab Center for Computational Biology and Bioinformatics Amity University Uttar Pradesh Noida India Department of Computer Science and Engineering School of Engineering Sciences and Technology Jamia Hamdard New Delhi India Amity Institute of Biotechnology Amity University Uttar Pradesh Noida India

ISBN: (纸本)9789819719426

In this rapidly changing era of the world, healthcare devices are revolutionizing, which enables the continuous measurement of crucial biological markers for diagnostic purposes, physiological health monitoring, and evaluation. Hence, wearable devices have transformed into accessories, embedded clothing, body adaptors, and body implants. Additionally, the emergence of wearable healthcare devices that facilitates the diagnosis and prognosis by using tiny sensing devices and biomedical devices has greatly enhanced the efficiency as well as the quality of medical care facilities results in the tremendous advancements in semiconductor technology, biomedical technologies, and nano-sized materials over the past few decades. Meanwhile, the devices could provide real-time feedback, allowing users to analyze their health and monitor in a specific period that has been assigned to the smart wearable devices, even though the industries and manufacturers are intensely interested in interpreting the factors that influence the adoption of new smart technologies, which helps to improve the performance and viability of wearable devices to fascinate consumers. Hence, the advancements in technology are regarded as trustworthy equipment for everlasting monitoring of health that are frequently used to monitor and control a diverse of health tracking predictors in the surroundings, including monitoring health and wellness of the body. In recent years, it has been focused on the study of a wide range of parameters closer to advancements in smart technology. As a result, these smart devices are now utilized in a variety of healthcare monitoring applications, one of the most crucial aspects of data collection is the various factors based on bodily activities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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Survey of Technologies Toward Goal-Line Decision-Making 3rd

Survey of Technologies Toward Goal-Line Decision-Making

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3rd international conference on Sports engineering, ICSE 2023

作者： Prasanth, V.V. Nallavan, G. Department of Sports Technology Tamil Nadu Physical Education and Sports University Chennai600127 India

ISBN: (纸本)9789819782963

Goal-line decisions are more important decisions that should be made by the team of officials to provide a decision about the outcome of the action or event that takes place during the attempt to score, which will reward their efforts fairly both the side. The technologies that are associated with decision-making are hawk eye, video assistant referee or instant review system or video replay system, electronic timing system, electronic scoring system, and photo finish which is using some of the key technologies like Smart Balls, RFID, Internet of Things, Artificial Intelligence and computer Vision, Wearable technology, and other sensors included in this solutions based on the need for various games and still growing. This work is carried out to look into the technologies involved in various games in this modern times. In this work, we are going to concentrate on all the games that are using goal-line decision-making technologies listed above. The qualitative research of various findings is analyzed, and the technological importance and roles are identified. We will also have a clear picture of how the game is becoming fairer with the help of various technologies and providing good and accurate decisions to the players around the world. The real effort of the players will be appreciated with the accurate data that is generated using the available technologies by the referee and organizers to the teams and fans. Nowadays, we have lot of technologies that can add value to the existing system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wearable computers

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Intelligent Solution for Voltage Profile Enhancement Using Dynamic Voltage Restorer 3rd

Intelligent Solution for Voltage Profile Enhancement Using D...

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3rd international conference on Emerging Electronics and Automation, E2A 2023

作者： Kumar, Prashant Arya, Sabha Raj Bosu, Rahul School of Sustainability Studies Symbiosis Skills and Professional University Pune412101 India Department of Electrical Engineering Sardar Vallabhbhai National Institute of Technology Surat395007 India Department of Electronics and Communication Engineering Budge Budge Institute of Technology Kolkata700137 India

ISBN: (纸本)9789819768011

The paper presents the effectiveness of an intelligent control based Dynamic Voltage Restorer (DVR) for voltage related issues. The developed neural architecture optimized by Coronavirus Herd Immunity Algorithm (CHIA) to extract the best fitted feedforward (FF)-based Backpropagation (BP) which is employed for the fundamental extraction. The distribution system voltage is stabilized by the implementation of Fractional Order PID (FOPID) and effective regulates the voltage across DC and AC bus under dynamical state. The main disadvantage of classical technique SRF-PI has manual intervention for coefficient tuning and increases the computation effort. The proposed controllers FF-BP-based CHIA and optimized FOPID by Sooty Tern Optimization overcome the issues of SRF-PI and significantly improve the overall DVR performance. In the proposed design of DVR, NN layer interconnected weights and neurodes are optimized by Coronavirus Herd Immunity Algorithm (CHIA) and gains of FOPID by Sooty Tern Optimization (STO). The objective function taken for assessment of FOPID is the integral time square error (ITSE). The FOPID (PIλDδ) has additional tuning coefficients compared to classical PI tuning and result confirms the less settle time, rise time, and overshoot of 0.223 s, 0.126 s, and 6.6% respectively. The controller efficacy is examined under polluted grid voltage like sag/swell, distortion, and imbalance. Compared to the conventional control scheme, FF-BP-based CHIA and optimized FOPID improves the output voltage profiles and maintain THD of 3.33% as per IEEE-519. The DVR performance is validated by simulation and experimental results with the developed control algorithms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Coronavirus

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Real-Time Insights and Dynamic Performance Visualizations for Unprecedented Impact in Ball Badminton 3rd

Real-Time Insights and Dynamic Performance Visualizations fo...

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3rd international conference on Sports engineering, ICSE 2023

作者： Rohith Gowda, M. Pai, Aditi N. Vishwanatha, C.N. Akash, M.P. Ranganath, G.H. Bhaskar, H.N. Department of Computer Science and Engineering R. V. College of Engineering Bengaluru India Department of Physical Education and Sports R. V. College of Engineering Bengaluru India Department of Physical Education and Sports SJB Institute of Technology Bengaluru India Department of Physical Education and Sports SBRRMFGC Mysuru India

ISBN: (纸本)9789819782963

The absence of advanced analytical tools has been a major obstacle in the world of ball badminton, a traditional sport. The lack of real-time data and valuable insights has long impeded players, coaches, and spectators. This paper introduces an innovative system aimed at transforming the ball badminton experience, enhancing player performance, engaging spectators, and providing valuable tools for coaches and fans through real-time insights and dynamic performance visualizations. This approach involves developing a system, preferably an application, to track the movement of the player and measure position, acceleration, and speed using computer vision and predicting tactics to assist during training, tracking the short trajectory of the ball to assist during practices for improvement, displaying live statistics such as player stats (points won, errors, aces), match progress (scoreboard), and historical data (head-to-head records) to provide context and analysis during the match, besides assisting the umpire in making decisions. Benefits to the viewers are the display of real-time statistics, fan engagement through quizzes on the sport, and result prediction. Coaches can use it to make strategic decisions, players to review their performance, and fans to gain deeper insights into the match. Additionally, it employs a markerless motion capture system, which relies on deep learning for human position estimation and computer vision techniques. To transform pixel data into court coordinates and enable the measurement of parameters like distance covered, court positioning, and average player speeds for ball badminton players, the methodology relies on the inverse perspective mapping method. One of the algorithms applied in this context is the Lucas-Kanade optical flow algorithm, which aids in player tracking and position estimation, contributing to the overall effectiveness of the technology. The technology will track player movements and tactical insights with great preci

关键词： Deep learning

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Multi-strategy Central Pattern Generator and Reinforcement Learning Integration for Quadruped Locomotion 3rd

Multi-strategy Central Pattern Generator and Reinforcement L...

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3rd international conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024

作者： Zuo, Guoyu Wang, Yong Yu, Shuangyue Beijing University of Technology Beijing100124 China

ISBN: (纸本)9789819624676

Legged animals have the flexibility to change their gait locomotion pattern strategies under different environments and walking speeds, which is important for efficient locomotion. However, legged locomotion is currently studied as a fixed set of pre-programmed gait patterns, which limits locomotor flexibility. Moreover, the process of designing multiple coping strategies for multiple tasks is cumbersome. In this study, we introduce a novel framework for quadrupedal locomotion learning, enabling robots to swiftly and adaptably transition between gait patterns tailored to various environments. In addition, we introduce an environmental feedback framework to improve the quadrupedal robot's ability to perceive external environmental features. We obtain a strategy network through a two-stage training and deploy it to real robots. Finally, a multi-strategy controller is obtained, which enables the quadruped robot to realize flexible strategy shifts and, moreover, efficient traversal of various complex terrain environments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep reinforcement learning

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Proceedings - 2023 3rd international conference on Electronic and electrical engineering and Intelligent System: Responsible technology for Sustainable Humanity, ICE3IS 2023

Proceedings - 2023 3rd International Conference on Electroni...

引用

3rd international conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2023

ISBN: (纸本)9798350327762

The proceedings contain 94 papers. The topics discussed include: development of deep learning model base on modified CNN architectures for brain tumors early diagnosis;metaverse-based learning media to increase wireless security awareness;comparative study of maximum-power-point tracking with multiplier-based step-size variation;IoT based AC electric vehicle supply equipment;the usage of machine learning on penetration testing automation;implementation of design conformance measurement process between data entry form and class on SRS penguin;computer vision for determining trajectory and impact position of fighter-aircraft bombing;and sentiment analysis and topic modeling of e-grocery application reviews using naive bayes and support vector machine: a case study of Segari data review on the google play store.

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Mitigating Harmonics in Integrated Photovoltaic Grids with Plug-In Hybrid Electric Vehicles 3rd

Mitigating Harmonics in Integrated Photovoltaic Grids with P...

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3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Kishore, M.P. Shrivastava, Ashish Soni, Amit Vidya Vikas Institute of Engineering and Technology Karnataka Mysuru570028 India Shri Vishwakarma Skill University Haryana India Department of Electrical Engineering Manipal University Jaipur Rajasthan Jaipur303007 India

ISBN: (纸本)9789819784288

Recently, there has been a notable penetration of solar photovoltaic (PV) power into the grid, accompanied by a rising power demand for electric vehicles (EVs) load the distribution system. This convergence of PV and EV in the grid presents formidable challenges, particularly concerning grid synchronization during PV integration and power quality when EVs draw power from the grid. Managing the combined impact of PV penetration and EV utilization necessitates a controller capable of simultaneously addressing synchronization and power quality control. This study investigates the utilization of proportional-integral (PI) control methodologies to create an integrated controller that can effectively manage both photovoltaic (PV) and grid synchronization and address power quality concerns associated with electric vehicle (EVs) load. For PV power generation grid synchronization, a dual-control loop approach is employed, with one loop dedicated to EV battery charging control and the other focused on grid synchronization. To suppress harmonics in the grid current, the paper utilizes multicarrier Space Vector Pulse Width Modulation (SVPWM) in conjunction with PI control on the grid connected converter. The study includes the development of a MATLAB Simulink model to simulate the PV-EV-Grid setup, offering a thorough evaluation of the effectiveness of the controller. This paper contributes to the development of solutions for the challenges posed by PV integration and EV usage in the grid, enhancing the reliability and performance of sustainable energy systems. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Photovoltaics

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An Ensemble Technique for Classification of Oral Cancer by Using Histopathological Imaging 3rd

An Ensemble Technique for Classification of Oral Cancer by...

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3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Saikia, Trishna Dhamaniya, Ashutosh Gupta, Puneet Singh, Koushlendra Kumar Department of Computer Science and Engineering IIT Indore Indore India Machine Vision and Intelligence Lab NIT Jamshedpur Jamshedpur India

ISBN: (纸本)9789819743582

Oral cancer primarily affects the oral chamber within the head and neck area, and underscores the critical need for effective classification to initiate timely treatment. Deep learning (DL)-based computer-aided diagnostic (CAD) systems have demonstrated notable success in various applications, offering accurate and prompt diagnosis of oral squamous cell carcinomas (OSCC). One of the challenges in biomedical image classification is the acquisition of a sufficiently large training dataset. Transfer learning presents an efficient solution by extracting general features from natural image datasets and adapting them to new image datasets. In this study, we focus on classifying OSCC histopathology images to develop a productive DL-based CAD solution. To this end, we employ an average weighted ensemble technique, harnessing the strengths of deep learning-based models. To address the limitation of a small dataset, we fine-tune pre-trained deep CNN models, specifically VGG-16, VGG-19, MobileNet-V2, and Inception-V3, within our proposed method. Additionally, we conduct a comprehensive comparative analysis of these models, considering classification accuracy, precision, recall, and F-score as metrics. Our experimental findings reveal that VGG-19 consistently delivers substantially superior performance compared to the other fine-tuned deep CNN models. However, our proposed weighted ensemble technique outperforms all these deep CNN models, particularly when employing the RMSProp optimizer. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ensemble Histopathological imaging Inception-V3 MobileNet-V2 OSCC Transfer learning VGG-16 VGG-19

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Enhanced Salient Object Detection from Single Haze Images 3rd

Enhanced Salient Object Detection from Single Haze Images

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3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Dhara, Gayathri Kumar, Ravi Kant Department of Computer Science and Engineering SRM University-AP Andhra Pradesh Amaravati522020 India

ISBN: (纸本)9789819743582

Salient Object Detection experiences significant difficulties when trying to identify objects from single haze images due to the deterioration of visibility and low contrast. To subdue this challenge, this study introduces a computational model of visual saliency as a solution. Object detection in hazy environments presents a major challenge due to reduced visibility and contrast. The proposed methodology begins by determining whether an image is hazy, and if so, leverages the Dark Channel Prior (DCP) to extract essential haze-related information. The DCP calculation serves as the basis for subsequent dehazing, achieved through the Multiscale Retinex algorithm. In the dehazing phase, the Multiscale Retinex algorithm is applied to improve image clarity and obtain a dehazed version. This haze-free image is given as input to a trained U-Net architecture, which gives a saliency map that identifies notable and prominent regions within the image. Simultaneously, it undergoes region-based segmentation. The geodesic saliency map is calculated using geodesic distance, considering both spatial proximity and feature similarity. In the final step, the saliency maps generated from the U-Net and geodesic saliency computation are fused to generate the ultimate saliency map. The effectiveness of the suggested method in detecting salient objects in hazy images is supported by the experimental findings, which showcase state-of-the-art performance in dehazing. The integration of DCP, multiscale Retinex, and dual saliency maps enhances both dehazing and object detection, making this method valuable in a variety of computer vision applications, including autonomous driving, video surveillance, and image restoration. The experimental results of AUC and MAE provide confirmation for the effectiveness and accuracy of the saliency computational model that has been proposed. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Demulsification

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Impact of Value-Added Courses and Personalized Method of Delivery in Achieving Industry Readiness: An Industry 4.0 Perspective 3rd

Impact of Value-Added Courses and Personalized Method of Del...

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3rd international conference on Computing and Communication Networks, ICCCN 2023

作者： Vyas, Pratik Bhattacharya, Sweta Supriya, Y. Bhulakshmi, Dasari Gadekallu, Thippa Reddy Kaluri, Rajesh Sumathy, S. Koppu, Srinivas School of Science and Technology Nottingham Trent University Nottingham United Kingdom School of Information Technology and Engineering Vellore Institute of Technology Tamil Nadu Vellore India Zhongda Group Haiyan County Zhejiang Province Jiaxing City China Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

ISBN: (纸本)9789819726707

There has been a rapid growth of technology in parallel with the massive growth in population since the past few decades. Higher education plays a significant role in driving growing performance and competitiveness in the national and international economies in line with such growth. The graduating students from majority of the higher education institutes often possess skillsets which stand insufficient to meet the needs of the industry propelling use of additional resources to achieve industry readiness and enabling them to work on real-time projects. The present study emphasizes on the need for value-added courses to bridge such industry–academia gap. The study is conducted on engineering students and hence the role of value-added courses on Industry 4.0 and related technologies in abridging the gap is explored. At the outset, a need analysis survey is conducted on engineering undergraduate students in order to validate their understanding of the existence of industry–academia gap, the need for short-term value-added course and also specifically the need for Industry 4.0-based courses toward abridging the gap and its role in contributing toward industry readiness. Considering the results of the need analysis survey and also uniqueness of strength and weakness of each student, an Industry 4.0-based curriculum is developed in coordination with academicians and industry experts. Further, a QAA training was provided to the academic experts which enabled the contributors to adopt non-traditional patterns in the design delivery and assessment of the course. Considering the input of the academic and industry experts the value-added course was designed and developed and further approved by the boards of studies members who also belonged to both the verticals. The course was delivered to 56 students by faculty members from Vellore Institute of technology, India, Nottingham Trent University, UK, and also reputed industry experts who shared their real-time perceptions and kn

关键词： Students

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