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Strategic Research on the Health Management Data Storage Mechanism Integrating Blockchain technology Based on the Improved PBFT Consensus Algorithm 5

Strategic Research on the Health Management Data Storage Mec...

引用

5th ieee International conference on Power, Electronics and Computer applications, ICPECA 2025

作者： Liu, Xuejie Soochow University Suzhou China

ISBN: (纸本)9798331533694

At present, the existing databases in medical institutions are characterized by singularity and centralization in storage methods. This makes it difficult to guarantee the security, integrity, and traceability of electronic medical data, thus posing a threat to patients' medical privacy. Although some studies have proposed data security storage solutions based on cloud storage and the like, such solutions rely on a completely trustworthy third-party to ensure the reliability of interactions. To address the above-mentioned problems, this paper proposes a decentralized health management data storage mechanism by integrating blockchain technology based on the improved PBFT consensus algorithm. This mechanism uses the improved PBFT consensus algorithm and the optimized Hash encryption algorithm to securely and effectively store health management data in a distributed database, ensuring the integrity and traceability of the data. At the same time, a new data interaction system is designed to prevent direct interaction between the third-party and the database, preventing untrustworthy third-parties from maliciously damaging the data and ensuring data security. In addition, through access control and the Lucene retrieval mechanism, patient privacy is protected and rapid retrieval of health management data is achieved. Experimental analysis shows that compared with algorithms such as Proof of Work (POW) and Delegated Proof of Stake (DPOS), the improved PBFT consensus algorithm endows the medical blockchain system with better stability and throughput. Compared with the ordinary database interaction method, the designed data interaction system effectively prevents direct operations on the database and has good security and anti-tampering properties. Experimental data indicates that the decentralized health management data storage system constructed by integrating blockchain technology based on the improved PBFT consensus algorithm realizes the secure storage, traceability, an

关键词： Electronic health record

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A ST-SMO SOGI PLL and LUT Based Sensorless Vector controlled PMaSyRM Drive for SPV-Battery Fed Light Electric Vehicle

A ST-SMO SOGI PLL and LUT Based Sensorless Vector Controlled...

引用

2025 ieee Texas Power and Energy conference, TPEC 2025

作者： Kumar, Sushant Kumar, Shailendra Kurm, Shashank Murari, Krishna Hasan, Md Shamim Kamalasadan, Sukumar Indian Institute of Technology Electrical Engineering Department Chhattisgarh Bhilai491002 India University of North Carolina at Charlotte EPIC Department of Electrical Engineering CharlotteNC28223 United States

ISBN: (纸本)9798331541125

This paper presents a study on the integration of a solar photovoltaic (SPV) charging system with a permanent magnet-assisted synchronous reluctance motor (PMaSyRM) drive for light electric vehicle (LEV) applications. The SPV-powered battery charging system enables a fully green operation for the LEV, eliminating dependence on non-renewable energy sources. A bidirectional DC-DC converter (BDDC) is utilized to extend the LEV's range by capturing and storing energy during regenerative braking. The speed and torque control of the PMaSyRM is achieved using a lookup table (LUT)-based vector control strategy, which optimizes motor performance by adapting to inverter voltage and current constraints as well as variations in motor parameters. For vector control, rotor position information is required for transformation of currents. The rotor position estimation is achieved using a combination of a super-twisting sliding mode observer (ST-SMO) and a second-order generalized integrator phase-locked loop (SOGI-PLL). The ST-SMO provides robust position estimation by effectively handling uncertainties and external disturbances, enhancing the system's overall resilience. Meanwhile, the SOGI-PLL offers high-performance phase and frequency synchronization, ensuring accurate rotor position tracking even under varying operating conditions. By integrating these techniques, the proposed control scheme significantly improves the dynamic response and stability of the PMaSy RM, facilitating seamless operation in the light electric vehicle. © 2025 ieee.

关键词： Reluctance motors

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Causal Digital Twins for Physical System control 59

Causal Digital Twins for Physical System Control

引用

59th Annual conference on Information Sciences and Systems, CISS 2025

作者： Mohseni-Sehdeh, Saeed Saad, Walid Sakaguchi, Kei Yu, Tao Virginia Tech Bradley Department of Electrical and Computer Engineering AlexandriaVA22305 United States Institute of Science Tokyo Department of Electrical and Electronic Engineering Tokyo Japan

ISBN: (纸本)9798331513269

Digital twins (DTs) are virtual representations of physical systems, replicating their behavior, dynamics, and interactions with the environment. Hosted on computational platforms, DTs have access to more extensive information and computational power than their physical counterparts (PTs), making them suitable for control applications. This paper proposes a novel DT-based control architecture that leverages causal learning to achieve autonomous control. In this framework, the DT employs causal inference to determine the desired system behavior and, subsequently, instructs the PT accordingly. By incorporating causal learning, a DT can gain self-training capabilities, enabling it to generate and analyze hypothetical scenarios based on cause-and-effect relationships. Simulation results show that DT-based control outperforms the traditional local control method by 49% in terms of the tracking performance measured through the mean squared error. Additionally, causal learning demonstrates 16% better tracking performance over statistical learning in a self-training scenario, as measured by the mean squared error. © 2025 ieee.

关键词： Digital elevation model

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Predictive and Preventive Fire Safety System 3

Predictive and Preventive Fire Safety System

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3rd International conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Smitha Gayathri, D. Kumar, Narendra Ramsathish, K.V. Bnm Institute of Technology Dept. of Ece Bengaluru India Rns Institute of Technology Dept. of Aiml Bengaluru India

ISBN: (纸本)9798331515911

This paper presents the development of an advanced fire detection system that utilizes a camera to identify fires. The proposed system leverages Deep Learning methods to detect flames and fire outbreaks, and it employs an appropriate water control mechanism to extinguish the fire. A key feature of this system is its ability to minimize false alarms, enhancing the system's reliability and overall efficiency. The proposed device has potential applications in residential homes, businesses, shopping malls, and similar environments. By reducing the risk of injury and property damage caused by fires, the system offers significant safety benefits. Experimental results demonstrate the model's superiority in terms of cost-effectiveness, performance, and efficiency. © 2025 ieee.

关键词： Fires

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Qualitative Comparison of Vision and Vision-Language Models in Object Detection: Capabilities and Challenges 29

Qualitative Comparison of Vision and Vision-Language Models ...

引用

29th International conference on Information technology, IT 2025

作者： Rakic, Branka Dejanovic, Igor University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Serbia

ISBN: (纸本)9798331517649

Advancements in deep learning and computer vision have greatly enhanced object detection, playing a vital role in applications such as autonomous driving and surveillance. This study explores the trade-offs between two distinct YOLO model architectures: the vision-only models, referred to as pre-YOLO-World, and a vision-language model known as YOLO-World. While the pre-YOLO-World models are renowned for their speed and accuracy, the YOLO-World model integrates large language models to enhance contextual comprehension, enabling open-vocabulary object detection. This paper provides a qualitative analysis of their strengths and limitations, focusing on speed, accuracy, adaptability, computational requirements, and application scenarios. By contrasting these architectures, we aim to offer insights into their potential roles in evolving object detection paradigms and to guide practitioners in selecting models suited to specific use cases. © 2025 ieee.

关键词： Machine vision

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Chatbot and its Impact on the Retail Industry 3

Chatbot and its Impact on the Retail Industry

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3rd International conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Tatikonda, Reshmi Kempanna, M. Thatikonda, Ramya Bhuvanesh, A. Thota, Ragupathi Keerthanadevi, R. Department of Computer Information Systems University of the Central Missouri Warrensburg United States Department of AI and ML Bangalore Institute of Technology Bengaluru India Department of Information Technology University of the Cumberlands Williamsburg United States Department of Electrical and Electronics Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli India Department of Information Technology Jawaharlal Technological University Hyderbad India Department of Computer Science and Engineering PSN College of Engineering and Technology Tirunelveli India

ISBN: (纸本)9798331527549

This study explores the transformative potential of chatbots in the retail industry, highlighting their role in enhancing customer engagement, optimizing business processes, and revolutionizing the nature of retail interactions. Through a comprehensive review of existing literature and case studies, the paper delves into the cognitive processes underlying human-chatbot interactions and examines their impact on customer experience, satisfaction, and loyalty. Chatbots serve a wide array of operational functions, including inventory management, automated order processing, data-driven analytics, and employee training. These functionalities streamline workflows, improve efficiency, and maximize resource utilization. The paper further explores the innovative applications of chatbots, including AI-driven personalization, conversational commerce, and seamless integration with emerging technologies. By analyzing both the current applications and challenges of chatbot technology in retail, the study uncovers the exciting opportunities they present for shaping the future of retail by fostering more personalized, efficient, and interactive customer experiences. © 2025 ieee.

关键词： Inventory control

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Integrating the dynamic optimization strategies of Adam and AdaGrad 13

Integrating the dynamic optimization strategies of Adam and ...

引用

13th International conference on Intelligent control and Information Processing, ICICIP 2025

作者： Huang, Zhixuan Luo, Xiaonan Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9798331516147

Artificial intelligence (AI) has been a key research area since the 1950s, initially focused on using logic and reasoning to create systems that understand language, control robots, and offer expert advice. With the rise of big data and deep learning, AI has advanced in applications like recommendation systems, image recognition, and machine translation, primarily through optimizing loss functions in deep neural networks to improve accuracy and reduce training *** descent is the core optimization method but faces challenges like slow convergence and local minima. To overcome these, algorithms like Momentum, AdaGrad, RMSProp, Adadelta, Adam, and Nadam have been developed, introducing momentum and adaptive learning rates to accelerate convergence. This paper presents a new optimization algorithm that combines the strengths of Adam and AdaGrad, offering better adaptability to different learning rates. © 2025 ieee.

关键词： Contrastive Learning

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Design and Development of Touch Sensor-based Headlight and Mirror controller for Automobiles 6

Design and Development of Touch Sensor-based Headlight and M...

引用

6th International conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Vasuki, A. Tharmaraj, R. Saruvardhan, K.S. Aakashpriyadharshan, M. Praveen, D. Department of ECE SRM Institute of Science and Technology Vadapalani Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

Modern cars frequently have manual regulators and switches for headlight and rearview mirror control, which can be difficult and distracting for drivers. This paper presents a more efficient alternative through the implementation of a touch- sensitive control system utilizing the ESP32 microcontroller. The device substitutes conventional controls with touch sensors to streamline the management of headlamp intensity and rearview mirrors. The technology rotates a stepper motor 20 degrees with a single touch to enhance headlight brightness, 40 degrees with a double touch for additional adjustment, and 60 degrees with a triple touch, facilitating precise control over the illumination. Furthermore, an additional touch sensor is employed to regulate servo motors that facilitate the automation of rearview mirror adjustment. A single touch activates the mirrors, while a double touch deactivates them, providing a more fluid experience. This touch-based technology offers drivers a safer and more intuitive method for controlling essential vehicle functions while simultaneously upgrading the car’s interface. This design employs readily available components and straightforward programming, making it both economical and scalable for future smart car applications. © 2025 ieee.

关键词： Stepping motors

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RFID based Access control System 3

RFID based Access Control System

引用

3rd International conference on Electronics and Renewable Systems, ICEARS 2025

作者： Harshitha, Ghantasala Gopika, S.N. Gourinandan, B. Goutham, P. Gowrinath, L. Nalinakshan, Shankar Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India

ISBN: (纸本)9798331509675

The RFID (Radio Frequency Identification) Security Lock System is one of the solutions that are targeted for improvement in security and convenient access control under various conditions, from residential places to commercial environments and government institutions. This work provides a detailed description of the constituents, concepts of operation, benefits, and security implications of security-based systems using RFID technology. RFID tags, readers, controllers, and electronic elements, that lock the doors, are coordinated to provide swift and secure means of access management. It operates by the system authenticating and checking the legitimacy of an RFID tag for allowing or denying access to an RFID-tagged facility or equipment alongside sending the door status to the user through Bluetooth. The advantages of RFID security systems are the convenience they offer, speed, and a multitude of enhanced security features, hence they are better than the lock-and-key devices used before. applications of RFID security lock systems range from residential buildings, workplaces, health care facilities, hospitality, and educational institutions. This comprehensive overview underscores the significance of RFID technology in advancing security and access control solutions. © 2025 ieee.

关键词： Radio frequency identification (RFID)

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Experience in a VR Cricket Game Using Brain Computer Interaction (BCI) 7

Experience in a VR Cricket Game Using Brain Computer Interac...

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7th ieee International conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Jayaraj, Lionel Wood, James Reifer, Amanda Braund, Edward School of Computer Science and Technology University of Bedfordshire Luton United Kingdom University of the West Indies Faculty of Sport Cave Hill Barbados

ISBN: (纸本)9798331521578

This vision paper outlines the necessity to improve the user-experience of Extended Reality (XR) simulations. XR applications use the term 'immersion' to describe the technological factors that lead to an effective user experience and improve user presence [4] [9]. This research aims to improve immersion by user's motion tracking for playing [1] [2] enhanced by EEG signals from Brain especially for the extreme cricket bowling activities. This requires many nuanced controls including motion control. Hence, this empirical research enables mapping of the natural user interface (NUI) in game play [7] along with the Brain Computer Interaction (BCI) [8] to improve immersion. The research application development aims to pipeline a BCI device called 'NeuroConcise' [6] to acquire decision data for additional inputs to the commercial Virtual Reality (VR) Game controls from Meta [3]. © 2025 ieee.

关键词： Cricket (Sports)

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