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Touch Sensors for Safety in Industrial Automation Systems 10

Touch Sensors for Safety in Industrial Automation Systems

引用

10th international conference on Digital Arts, Media and technology and 8th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2025

作者： Khumyat, Tanapong Mahamai, Preecha Rajamangala University of Technology Lanna Tak Thailand

ISBN: (纸本)9798331543273

This paper designs and evaluates a touch sensor based on a MOSFET that detects electric fields generated between mechanisms in industrial automation systems and human skin. The sensor aims to enhance safety in industrial operations. When the sensor installed on an automated mechanism comes into contact with human skin, it detects the electric field and electrostatic discharge. The processor immediately halts the automation or robotic system to ensure worker safety. The best test results indicate that the sensor operates with a response time of 3 milliseconds. © 2025 IEEE.

关键词： Industrial robots

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Research on the Integration of Artificial Intelligence and Signal Processing: A Trend Analysis Based on Bibliometrics 24

Research on the Integration of Artificial Intelligence and S...

引用

5th international conference on computer Science and Management technology, ICCSMT 2024

作者： Ma, Guoxuan School of Computer Science and Engineering Northeastern University Liaoning Shenyang China

ISBN: (纸本)9798400709999

To understand the recent advancements in the application of artificial intelligence in the field of signal processing, this paper employs VOSviewer and CiteSpace to conduct a quantitive analysis and visualization of relevant literature from 2020 to September *** analyzing the number of publications, citation patterns, and collaboration networks, this study elucidates the primary contributors, core research directions, and the global landscape of scientific collaboration in this *** research findings indicate that the integration of AI and signal processing has not only achieved theoretical breakthroughs but is also widely applied to solve practical problems, such as optimizing medical diagnoses and enhancing communication *** bibliometric visualization analysis, this paper provides a panoramic view of the current state of research in this area and offers targeted predictions and recommendations for future development trends. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Quantization (signal)

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Marine Robot for Underwater Surveillance

Marine Robot for Underwater Surveillance

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Vishnu Gowda, H.P. Reddy, Deepa N Gowda, Tejas B Shrikala, R. Yogitha, H.N. Bms Institute of Technology and Management Student of Department of Electronics and Communication Engineering Bengaluru560064 India Bms Institute of Technology and Management Department of Electronics and Communication Engineering Bengaluru560064 India Bms Institute of Technology and Management Student of Department of Computer Science Engineering Bengaluru560064 India

ISBN: (纸本)9798331529833

Underwater surveillance has become a crucial area of research, particularly for marine exploration and environmental monitoring, with marine robots playing a vital role. These robots, equipped with sensors and cameras, capture real-time data and images from underwater environments, reducing the need for human intervention in hazardous areas. However, a major challenge in this field is developing reliable communication networks, as underwater environments face limitations in bandwidth, range, and signal attenuation, hindering real-time data transmission. This paper presents a simple marine robot prototype based on the Raspberry Pi Model 4B, utilizing Electronic Speed Controllers (ESCs) and brushless motors for efficient movement. The robot's body is manually designed using 3D printing technology, with PETG (polyethylene terephthalate glycol) material chosen for its water resistance, durability, and buoyancy. The design ensures the robot's stability and functionality underwater, offering a cost-effective solution for marine robotics while underscoring the need for improved underwater communication technologies. © 2025 IEEE.

关键词： Marine communication

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Dynamic Street Lighting based on Adaptive Learning

Dynamic Street Lighting based on Adaptive Learning

引用

2025 international conference on computer, Electrical and Communication engineering, ICCECE 2025

作者： Biswas, Suvrojyoti Sinha, Mourani Techno India University Department of Computer Science and Engineering West Bengal Kolkata India Techno India University Department of Mathematics West Bengal Kolkata India

ISBN: (纸本)9798331513894

Smart street light solution utilizing Long Range Wide Area Network (LoRaWAN) is one of the highly interesting topics in the field of Internet of Things (IoT) automation engineering. It is seen that many prototypes and modelling were served with IoT based sensors in this existing research idea globally and in fact Narrow Band IoT is used in some cases for data sharing along with secure communication channels. But some factors other than sensory technology associated with it will become more crucial to consider as those are emerging now like street light controlling as per traffic loads, adjustment of illumination power dynamically, and some changes of road condition if possible to distribute the data under a fault-tolerant architecture. In this paper, there is proposed an adaptive algorithm for street light control with decision-making logic based on Reinforcement Learning in some of the road cases as discernment. And with it traffic pattern observation to feed the dataset further using a deep learning technique. Also, simulate a Deep Q-learning algorithm that is necessary to be shown here and the most enthusiastic thing of implementation is to observe the road patterns and vehicular movements and note them clearly. © 2025 IEEE.

关键词： Adaptive algorithms

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Efficient Smart Public Transit System Using RFID and IoT integration with MERN web applications

Efficient Smart Public Transit System Using RFID and IoT int...

引用

2025 international conference on computer, Electrical and Communication engineering, ICCECE 2025

作者： Madasanal, Kartik Gudnavar, Anand Nagarmunoli, Sreedevi Madagouda, Basavaraj Naregal, Keerti Visvesaraya Technological University Jain College of Engineering and Research Department of Computer Science and Engineering Belagavi India Graphic Era University Department of Computer Science and Engineering Dehradun India S.G.Balekundri Institute of Technology Visvesaraya Technological University Department of Computer Science and Engineering Belagavi India

ISBN: (纸本)9798331513894

This paper develops a Smart Public Transportation System using RFID technology, IoT integration, and a MERN-based web application for increasing the efficiency, accessibility, and user experience of urban transit systems. It addresses problems such as unreliable bus tracking, lack of support for multilingualism, and ineffective communication between operators and passengers. The key hardware components include RFID tags for bus identification, and IoT-enabled bus stations with RFID scanners, speakers, GSM modules for data transmission, and LCD displays. These ensure accurate real-time updates about the bus locations. On the software side, it is supported by a MERN stack, including MongoDB, ***, ***, and ***, providing a responsive web interface that's complemented by *** for dynamic route visualization and WebSockets for live updates. Multilingual support through i18next makes it inclusive for various user groups. The system is efficient in that it only updates when RFID scanners capture bus tags at certain checkpoints, thereby reducing server load much more than GPS-based systems. Additional features include route tracking, interactive maps, ticket pricing, and anonymous passenger chats. Crowd-sourced feedback mechanisms and an admin panel for bus management ensure the reliability and scalability of the system. This work shows the feasibility of cost-effective, scalable, and user-centric modernization of public transportation systems, paving the way for further enhancements such as integrated payment systems and AI-based route optimization. © 2025 IEEE.

关键词： Liquid crystal displays

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SMT-based Layout Synthesis for Silicon-based Quantum Computing with Crossbar Architecture 24

SMT-based Layout Synthesis for Silicon-based Quantum Computi...

引用

43rd international conference on computer-Aided Design, ICCAD 2024

作者： Huang, Sheng-Tan Jiang, Ying-Jie Fang, Shao-Yun Cheng, Chung-Kuan Department of Electrical Engineering National Taiwan University of Science and Technology Taiwan Department of Computer Science and Engineering University of California San Diego United States

ISBN: (纸本)9798400710773

With the announcement of the most advanced silicon spin quantum-bit (qubit) chip by Intel, silicon-based quantum circuit manufacturing technology has shown the superior potential to realize quantum computing to other technologies because of the mature semiconductor manufacturing technologies and the compatibility with electronics. Due to the bottleneck in scalability caused by interconnections in silicon-based quantum circuits, crossbar architectures serve as one of the most promising solutions for circuitry implementation. This paper proposes the first satisfiability modulo theories (SMT) formulation to optimally solve the layout synthesis problem by simultaneously performing scheduling, mapping, and routing for silicon-based quantum systems with a specific crossbar architecture. The experiments demonstrate that the proposed method can effectively generate layout synthesis results with minimal usage of swap and shuttle gates within the shortest circuit depths, and the solutions greatly outperform those derived from a state-of-the-art work. © 2024 Copyright is held by the owner/author(s).

关键词： Qubits

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Position Paper: Integrating Inquiry-Based Learning Pedagogy in Information technology 17

Position Paper: Integrating Inquiry-Based Learning Pedagogy ...

引用

17th international conference on computer Supported Education, CSEDU 2025

作者： Chakerian, Aaron Ramakrishnan, Charanya Faculty of Science and Engineering Macquarie University Macquarie Park Australia

ISBN: (纸本)9789897587467

This position paper examines the implementation of Inquiry-Based Learning (IBL) in Information technology (IT) education, focusing specifically on a first-year database unit. Traditional pedagogical approaches, which predominantly rely on lectures and textbooks, often hinder student engagement and motivation. The paper identifies the challenges inherent in current IT educational practices and proposes IBL as an effective pedagogical alternative. IBL fosters active learning and critical thinking, thereby enhancing students' grasp of real-world applications. The proposed trial of IBL in an introductory database course aims to assess both student outcomes and instructor experiences. The benefits of IBL, including increased student engagement and improved knowledge retention, are examined, as well as challenges related to time management, group dynamics, and technical issues. The paper concludes with a call for extended exploration and broader adoption of IBL methods in first-year IT courses, promoting a necessary shift in educational practices to address student needs better. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： STEM (science, technology, engineering and mathematics)

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Predicting relevant captions using image caption generator in social media platforms 4th

Predicting relevant captions using image caption generator i...

引用

4th international conference on Computational Methods in Science and technology, ICCMST 2024

作者： Gupta, Aryan Bhadauria, Devansh Singh Atray, Manav Kaur, Inderjeet Department of Computer Science & Engineering Galgotias College of Engineering & Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9781032911571

Creating natural language descriptions or captions for images is a formidable task that requires a combination of computer vision techniques to understand image content and natural language processing models to express this understanding in coherent sentences. This paper delves into the development of a web-accessible Image Caption Generator, aiming to improve user experience by automatically generating captions for uploaded images. The versatility of this generator extends its applicability to various uses, such as image indexing, assisting visually impaired individuals, and enhancing interactions on social media platforms. This paper results in caption generator without the need for complex data pre-processing or a specialized model pipeline. Notably, a singular end-to-end model seamlessly predicts captions, streamlining the entire process. The paper integrates social media platforms with the proposed Image Caption Generator giving users automated and contextually relevant captions, fostering a more immersive and inclusive digital experience. © 2025 the Author(s).

关键词： Long short-term memory

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Fall Detection and Alerts in Hearing Aids for Deaf using Generative AI 2

Fall Detection and Alerts in Hearing Aids for Deaf using Gen...

引用

2nd international conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Tripathi, Bharat Lal Saini, Madan Jain, Manish Saxena, Apoorva Pal, Narendra Department of Computer Application Allenhouse Institute of Technology Kanpur India Department of Computer Science and Engineering Apex Institute of Technology Chandigarh University Punjab India Department of Computer Application Allenhouse Business School Kanpur India Department of Computer Science & Engineering Axis Institute of Technology & Management Kanpur India Department of Computer Science & Engineering Invertis University Bareilly India

ISBN: (纸本)9798331530389

Individuals with sensorineural hearing loss often experience difficulty comprehending speech when background noise is present. This paper investigates the extent of this problem in various listening scenarios and with different types of background sounds. Additionally, the section explores the contributing factors to this challenge such as reduced audibility, reduced frequency selectivity, loudness recruitment, and dead regions in the cochlea where there are no surviving inner hair cells and or neurons. The sections evaluate different techniques for compensating for the effects of these factors. While signal-processing methods using the output of a single microphone to compensate for reduced frequency selectivity have had limited success, techniques utilizing multiple microphones have proven effective. Amplitude compression has also been effective in compensating for the effects of loudness recruitment, enabling individuals to understand speech across a wide range of sound levels. Next, the paper delves into the technical aspects of implementing fall detection systems in hearing aids, learning algorithms are also investigated for their potential in enhancing fall detection accuracy and minimizing false alarms. Furthermore, the importance of user-friendly interfaces and customization features in ensuring the effectiveness and acceptance of fall detection alerts is also highlighted. The paper also addresses the ethical and privacy considerations associated with fall detection in hearing aids. It emphasizes the need for transparent data handling practices and user consent, while also addressing potential concerns related to user autonomy and intrusion. © 2025 IEEE.

关键词： Data privacy

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Agricultural Water Conservation through AI-Enhanced Solar IoT Networks 3

Agricultural Water Conservation through AI-Enhanced Solar Io...

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

作者： Maniraj, S.P. Monisha, J. Amutha, R. Kavitha, R. Shriidhar, P.J. Srinivasan, C. Srm Institute of Science and Technology School of Computing Department of Data Science and Business Systems Kattankulathur Tamilnadu Chennai India Tamil Nadu Chennai India Ultra College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Madurai India Chennai Institute of Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Vinayaka Missions Kirupananda Variyar Engineering College Department of Computer Science and Engineering Tamil Nadu Salem India Saveetha Universityi Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331509675

With the increasing water shortage and climatic uncertainty, creative strategies for effective water management in agriculture are necessary. This research investigates the integration of Artificial Intelligence (AI), particularly Artificial Neural Networks (ANN), with solar-powered Internet of Things (IoT) networks to enhance water utilization in agricultural activities. The proposed system facilitates accurate irrigation scheduling using real-time data from soil moisture sensors, meteorological stations, and crop health monitoring devices. The ANN model analyses this data to predict ideal irrigation schedules and volumes, minimizing water waste while improving crop yields. The solar-powered IoT framework provides sustainability and reduces dependence on traditional energy sources. Field trials indicate that the AI-enhanced system may promote water saving by as much as 30% relative to traditional irrigation techniques. Moreover, using AI enables adaptive learning, enabling the system to enhance its irrigation tactics using historical and real-time data. This novel method conserves water resources and fosters sustainable agriculture practices, coinciding with global initiatives to address water shortages and assure food security. The findings underscore the potential of technology-based solutions to revolutionize agricultural water management for a sustainable future. © 2025 IEEE.

关键词： Smart agriculture

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