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The Development of an Autonomous Robotic Scanning System with the Laser Rangefinder

The Development of an Autonomous Robotic Scanning System wit...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Ko, Hung-Chin Chen, Syuan-Yi He, Jyun-Hong Chiang, Hsin-Han National Taiwan Normal University Dept. Electrical Engineering Taipei Taiwan National Taipei University of Technology Dept. Computer Science and Information Engineering Taipei City Taiwan National Taipei University of Technology Dept. Vehicle Engineering Taipei Taiwan

ISBN: (纸本)9798350324174

Due to the rise of Industry 4.0, many industries have begun to replace traditional human labor with automated equipment to achieve greater productivity and more accurate inspection results. Due to its advantages of high stability, high accuracy, and low repetition error, many manufacturing industries have chosen to use robotic arms to replace human labor in production and inspection tasks to obtain faster and more accurate work results. Based on the above advantages, this experiment combines a seven-axis robot arm with 2D LiDAR to scan the object to be inspected, and the algorithm is used to analyze, calculate and plan the inspection path of the arm so that the robot arm can automatically scan the surface of the object to be inspected in an equal speed, smooth, and reproducible way. © 2023 IEEE.

关键词： Inspection

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Sensitivity Analysis of a Polarity-controlled Tunnel Field-Effect Transistor-based Biosensor 10

Sensitivity Analysis of a Polarity-Controlled Tunnel Field-E...

引用

10th International Conference on Signal Processing and Communication, ICSC 2025

作者： Bind, Mukesh Kumar Singh, Sajai Vir Nigam, Kaushal Kumar Jaypee Institute of Information Technology Dept. of Electronics and Communication Engineering Uttar Pradesh Noida India National Institute of Technology Dept. of Electronics and Communication Engineering Raipur Chhattisgarh India

ISBN: (纸本)9798331511890

The tunnel field-effect transistor (TFET) is an emerging device for developing highly sensitive biosensors. In this paper, a polarity-controlled TFET (PC-TFET)-based biosensor has been introduced for label-free biomolecule detection. By incorporating the polarity control concept, the biosensor simplifies the fabrication process, minimizes random dopant fluctuations (RDFs), and eliminates the need for high-temperature annealing processes. Additionally, a nano-cavity is created by etching specific areas of the polarity gate's dielectric oxide near the tunneling junction, allowing for better control over the device's tunneling mechanism. The proposed PC-TFET biosensor's sensing capability has been examined for a variety of biomolecules with varying dielectric constants (k) and charge densities (ρ). The sensitivity responses have been analyzed in terms of transfer characteristics (IDS-VCG), subthreshold swing (SS), ON-OFF current (ION/IOFF) ratio and threshold voltage (VTh). The suggested PC-TFET biosensor provides excellent sensitivity for both charged and neutral biomolecules. © 2025 IEEE.

关键词： Enzyme sensors

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Cryptocurrency with Blockchain technology - A Literature Review 9

Cryptocurrency with Blockchain Technology - A Literature Rev...

引用

9th Somaiya International Conference on technology and information Management, SICTIM 2023

作者： Parab, Leenata J. Nitnaware, Prashant P. Patil, Shweta A. Dept. of Computer Engineering Pillai College of Engineering New Panvel Navi Mumbai India Dept. of Information Technology Engineering Pillai College of Engineering New Panvel Navi Mumbai India

ISBN: (纸本)9798350333299

Blockchain is a new and secured way to store data. Multiple computers connected to form a series of blocks that holds transaction data and the information of the previous block. It is a technology used to develop first cryptocurrency Bitcoin. Blockchain technology is generating new opportunitiesin other industry domains along with financial sector. Thus, in this technology era, Blockchain becomes the future of *** growing popularity of cryptocurrencies as financial assets is an indicator of a revolution in the financial sector. It led to understanding the need-to-know blockchain technology in dept. while investing money in cryptocurrencies. In this article, we will discuss the evolving blockchain technology related to cryptocurrency. We will outline the concept of cryptocurrency with blockchain technology in general along with strength and weaknesses, real world use cases, future trends and more. Cryptocurrencies currently havesignificant commercial value in the financial sector, so knowing the technology behind the implementation of cryptocurrencies will help investors and businesses easily predict financial market trends. This article will provide the general overview ofblockchain technology and its features by studying various research papers, articles, news media and many more. © 2023 IEEE.

关键词： Blockchain

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Using a Design Pattern to Build Microservices for Instant Messaging Software to Access IoT Devices 13

Using a Design Pattern to Build Microservices for Instant Me...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Huang, Hsin-Yu Fanjiang, Yong-Yi Tsai, Hsing-Yu Huang, Yung-Shiang Yu, Yi-Shiang Lee-Ming Institute of Technology Dept. of Digital Multimedia New Taipei City Taiwan Fu Jen Catholic University Graduate Institute of Applied Science and Engineering Dept. of Computer Science and Information Engineering New Taipei City Taiwan Fu Jen Catholic University Dept. of Computer Science and Information Engineering New Taipei City Taiwan

ISBN: (纸本)9798350355079

This study introduces a design pattern to build microservices, which provides an opportunity for instant messaging software developers, Internet of Things(IoT) device manufacturers and third parties to deploy themselves belonging to the APIs in microservices. Users can use instant messaging software to access IoT devices through the APIs deployed by the system. Instant messaging software developers, IoT device manufacturers and third parties can develop and deploy APIs in Instant Messaging (IM) microservice and IoT microservice of this system based on the OpenAPI specification document using a design pattern. The goal of this system is for users to use the installed and usually used instant messaging software without having to install and learn new app to access various IoT devices. © 2024 IEEE.

关键词： Instant messaging applications

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Improving Distance Estimation in Sound Event Localization and Detection Using ResNet50 and Multi-ACCDDOA 10

Improving Distance Estimation in Sound Event Localization an...

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10th International Conference on Signal Processing and Intelligent Systems, ICSPIS 2024

作者： Abolfazli, Zahra Abutalebi, Hamid Reza Virtanen, Tuomas Yazd University Dept. of Electrical Engineering Yazd Iran Tampere University Faculty of Information Technology and Communication Sciences Tampere Finland

ISBN: (纸本)9798331532543

This paper introduces a novel enhancement to the Sound Event Localization and Detection (SELD) system, specifically focusing on improving distance estimation in Task 3 of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2024 challenge. The main innovation lies in the use of ResNet50 architecture instead of traditional CNNs, resulting in more precise and efficient feature extraction. Additionally, the Multi Activity-Coupled Cartesian Distance and Direction of Arrival (Multi-ACCDDOA) format is employed for simultaneous estimation of direction and distance. While the primary focus is on improving distance estimation, the system has maintained stable and acceptable performance in other aspects. These advancements hold significant potential for real-time applications in augmented reality and autonomous systems. © 2024 IEEE.

关键词： Real time systems

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Self Organized Anchor Group based Routing Protocol for IoT Initial Setup 17

Self Organized Anchor Group based Routing Protocol for IoT I...

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17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Gupta, Naveen Kumar Aggarwal, Apeksha Yadav, Rama Shankar Kumar Nagaria, Rajendra Dr B R Ambedkar National Institute of Technology Jalandhar Center of Energy and Environment Dept. of Information Technology Jalandhar India Jaypee Institute of Information Technology Dept. of CSE and IT Noida India Motilal Nehru National Institute of Technology Allahabad Department of Computer Science and Engineering Prayagraj India Motilal Nehru National Institute of Technology Allahabad Department of Electronics and Comm. Engineering Prayagraj India

ISBN: (纸本)9798331531195

Geographical routing approach relies on local geographic information and performs multi-hop routing with the help of local decisions. The nodes are represented by 3D coordinates as some real IoT networks may be deployed in high buildings, hilly areas, underground or underwater. The geographical routing protocols follow the greedy path and suffer from void node problem (VNP). The traditional recovery policies follow a longer path around the boundary nodes of the void region which may go out of energy quickly. Thus, this paper proposes the concept of anchor group and presents an efficient anchor group routing protocol (EAGR) for IoT networks. The anchor group is treated as a sub-destination region where a group of nodes behaves like sub-destinations, which bypass the boundary nodes of the void to minimize the path length and divide the network traffic, in case of void in the network. The paper is also focused on considering the residual energy in the contention-based next-hop selection process. The experimental work has been carried out in the OMNET++ simulator's INET framework and observed that the proposed method is outperforming existing protocols. Moreover, it has reported a longer network lifetime and is able to survive longer than other existing geographical routing protocols on high load. © 2025 IEEE.

关键词： Routing protocols

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Blockchain Based Secure and Decentralized Smart Licensing of Charging Vehicles for Rajshahi City Corporation 2

Blockchain Based Secure and Decentralized Smart Licensing of...

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2nd International Conference on information and Communication technology for Sustainable Development, ICICT4SD 2023

作者： Haque, Momenul Paul, Subrata Kumer Islam, Kamrul Della, Mursheda Nusrat Paul, Rakhi Rani Fahim, Sultan Bangladesh Army University of Engineering and Technology Dept. of Computer Science and Engineering 6431 Bangladesh University of Rajshahi Dept. of Computer Science and Engineering Rajshahi6205 Bangladesh Rabindra Maitree University Dept. of Computer Science and Engineering Kushtia7000 Bangladesh Bangladesh Army University of Engineering and Technology Dept. of Information and Communication Engineering Bangladesh

ISBN: (纸本)9798350358667

The adoption of charging vehicles in Rajshahi has emerged as a significant step towards reducing air pollution and promoting a healthy, green city. However, the current centralized licensing system poses challenges such as time-consuming processes and the potential for fraudulent activities. To address these issues, this paper proposes the implementation of a secure and decentralized smart licensing system for charging vehicles in Rajshahi City Corporation, leveraging the smart capabilities of blockchain technology. By utilizing Hyperledger Fabric, the implementation generates blockchain based smart contracts that automate and streamline the licensing process smartly and efficiently. This approach ensures the immutability, transparency, and integrity of license records, minimizing the risk of fraud and enhancing overall efficiency. Additionally, the system incorporates the use of QR codes and an inquiry system to enhance the credibility of paper-based licenses. Compared to other digital licenses, this blockchain-based method significantly reduces risks and contributes to the development of a greener and more sustainable Rajshahi city environment. Furthermore, the introduction of a sustainable business policy, utilizing the G2C model, facilitates revenue generation and distribution fairly and equitably for all stakeholders involved in the charging vehicle ecosystem. This implementation not only offers cost benefits and efficiency improvements for drivers but also promotes a sustainable and environmentally friendly city. © 2023 IEEE.

关键词： Smart contract

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Leveraging Smart Video-Based Learning to Enhance Student Engagement and Collaboration 6

Leveraging Smart Video-Based Learning to Enhance Student Eng...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： Serasinghe, Chanukya Perera, Nashali Samarasinghe, Devindu Muthusinghe, Madusha Wijesundara, Malitha Sri Lanka Institute of Information Technology Dept. of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Humanities and Sciences Malabe Sri Lanka

ISBN: (纸本)9798331517878

The COVID-19 pandemic has expedited the shift in education to online learning, which has exposed shortcomings in virtual learning environments' personalization and engagement. This research addresses these issues by developing a web application designed to enhance student engagement and learning efficiency. The system has gamified collaboration features, video chapter segmentation, and personalized video recommendation system. The methodology comprises models for generating chapter titles and for precise video transcription, and machine learning algorithms for tailored suggestions depending on user input. Interactive Questions and Answers modules and real-time synchronized video playback are included. The results demonstrate how the system's personalized content, interactive tests, and teamwork tools increase user engagement and comprehension. The efficacy of personalized material and real-time synchronization in enhancing learning results is discussed. This innovative approach offers a comprehensive solution to the challenges of online education, creating a more immersive and interactive learning experience. © 2024 IEEE.

关键词： Federated learning

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Utilizing Advanced Machine Learning Techniques for Effective Prediction and control of Pandemic Outbreaks 2

Utilizing Advanced Machine Learning Techniques for Effective...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Rajasekaran, R. Thalapathi Shanmugavalli, H. Jayalakshmi, P. Ambika, S. Balaji, V. Saveetha School of Engineering Simats Dept. of Computer Science and Engineering Chennai India Grt Institute of Engineering and Technology Dept. of Computer Science and Engineering Tamil Nadu Tiruttani India Sri Krishna College of Engineering Dept. of Computer Science and Engineering Arakkonam India E.G.S. Pillay Engineering College Department of Information Technology Tamil Nadu Nagapattinam India Chennai India

ISBN: (纸本)9798350384277

The health and social implications of pandemic epidemics are substantial. Accurate forecasting and management of such epidemics are of utmost importance to lessen the blow of such epidemics. To tackle this pressing problem, we employ state-of-the-art machine learning methods in our research. In this paper, we investigate the potential of cutting-edge algorithms for modeling, predicting, and controlling the spread of pandemics. These algorithms include LSTM, Random Forest, GNN, RL, DRL, Bayesian Networks, and SVM. We run a battery of experiments and analyses using real-world data sources, such as COVID-19 case data, mobility data, contact tracking data, vaccination distribution data, intervention strategy data, and resource allocation data. These advanced machine-learning approaches have the ability to enhance the accuracy of pandemic predictions, optimize the allocation of resources, decrease transmission rates, and enable more effective intervention measures, according to our findings. For example, our RL algorithm optimized vaccination distribution by 20% while our LSTM model averaged a 92% success rate in forecasting new cases each day. Our research further emphasizes the significance of early detection and intervention. With a 90% success rate, the SVM-based early detection system could spot epidemics ten days before conventional approaches could, buying precious time for focused and efficient responses. © 2024 IEEE.

关键词： COVID-19

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TB Chest X-Ray Diagnostic Technique Using Deep Learning 3

TB Chest X-Ray Diagnostic Technique Using Deep Learning

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3rd IEEE Delhi Section Flagship Conference, DELCON 2024

作者： Goyal, Manish Kumar Yadav, Dhananjay Kumar Brar, Khushmeen Kaur Mittal, Manisha Ojha, Ananta Alzubaidi, Laith H. Pathani, Ashish Vivekananda Global University Dept. of Computer Science & Application Jaipur India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chandigarh University Dept. of Electronics and Communication Engineering Mohali India Guru Tegh Bahadur Institute of Technology New Delhi India Dept. of Computer Science and Information Technology Bangalore India The Islamic University Najaf Iraq Uttaranchal Institute of Technology Uttaranchal University Department of Civil Engineering Dehradun India

ISBN: (纸本)9798331518592

The bacteria Mycobacterium tuberculosis is responsible for the infectious illness tuberculosis (TB). Although the lungs are the primary organs affected, the kidneys, bones, and brain may also be affected. Whenever an infected person coughs, sneezes, or talks, small droplets comprising the bacteria are released into the air and spread through the airborne system. The elimination of tuberculosis (TB) remains a problem due to factors such medication resistance, co-infection with HIV, and scarce resources in high-burden configurations, even with substantial efforts to treat the disease. As a major worldwide health concern, tuberculosis (TB) necessitates quick and precise diagnosis in order to be effectively managed. This study aimed to develop a TB detection model using chest X-ray images obtained from ***, utilizing Google's Collaboration Platform. The model was trained to recognize patterns within the TB chest X-rays to efficiently recognize TB within patients in order to be treated in time. We introduce a technique for transfer learning that proves preferable to the traditional methodology of adopting ImageN et weights. The hybrid methodology utilizes best first search technique in fusion with ResNet 50 model. The SVM classifier is used for categorizing the classes. An accuracy of 93.91 % is attained. © 2024 IEEE.

关键词： Deep learning

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