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3rd International Conference for Advancement in technology, ICONAT 2024

作者： Mariappan, Umasree Balakrishnan, D. Karunya, T.Blessing Ponraj, Anitha Abhishekh, P. Devi, R. Karishma P.S.R. Engineering College Department of Information Technology Tamil Nadu Sivakasi626140 India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Krishnankoil626126 India Kalasalingam Academy of Research and Education Department of Information Technology Tamil Nadu Krishnankoil626126 India Academy of Research and Education Department of Electronics and Communication Engineering Kalasalingam Tamil Nadu Krishnankoil626126 India

ISBN: (纸本)9798350354171

High-performance computing (HPC) has revolutionized the field of weather forecasting by enabling the use of advanced algorithms and powerful computing systems to predict weather patterns with greater accuracy. Weather sensors and satellites collect vast amounts of data on temperature, pressure, humidity, wind speed, and precipitation, which are then processed and analyzed in near real-time to generate accurate forecasts. This article highlights the role of HPC in improving weather forecasting by leveraging Scalable Probabilistic Approximation (SPA) and HPC systems. Weather modelling is used to improve our understanding of how processes work in land, oceans, and the atmosphere. It also helps predict weather between days and seasons, as well as weather projection for the future. By leveraging these technologies and techniques, HPC is revolutionizing weather pattern prediction, enabling more accurate and timely forecasts that can help protect lives and livelihoods. High-performance computing and advanced algorithms are crucial for improving the accuracy of weather forecasting. By leveraging these technologies, researchers can better predict weather patterns, which has significant implications for various industries and applications. © 2024 IEEE.

关键词： Wind forecasting

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Automated Driving Licensing System Based on Wireless Sensor Networks and IoT

Automated Driving Licensing System Based on Wireless Sensor ...

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2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023

作者： Prasanna, R. Jenath, M. Prathaban, Banu Priya Masood, M.H. Habiba, H. Umma Kanna, Rajesh R. Srm Institute of Science and Technology Department of Electronics and Communication Engineering Ramapuram Campus Chennai India Sri Sai Ram Engineering College Department of Electronics and Communication Engineering Chennai India Bharath Institute of Higher Education and Research Department of Electronics and Communication Engineering Chennai Tambaram India Srm Institute of Science and Technology Department of Computer and Science Engineering Ramapuram Campus Chennai India

ISBN: (纸本)9798350394580

The advent of autonomous vehicles has revolutionized the automotive industry, offering promising advancements in safety, efficiency, and mobility. To integrate these autonomous vehicles into our society seamlessly, it is imperative to establish a robust licensing system that ensures the safe operation of automated vehicles on public roads. This paper presents an effective Automated Driving Licensing System (ADLS), a digital framework designed to regulate and license autonomous vehicles. The ADLS leverages cutting-edge technology, including artificial intelligence, machine learning, and secure data management, to evaluate and validate the capabilities of autonomous vehicle systems. Through a comprehensive assessment process, the system assesses the vehicle's ability to navigate various road conditions, respond to dynamic environments, and prioritize safety for passengers and other road users. The automated licensing issuance system ensures that only vehicles meeting predefined safety and performance criteria are granted licenses. Successful licensing is a testament to the vehicle's readiness for autonomous operation within specified geographic regions and under predefined conditions. The proposed system offers a comprehensive approach to safely integrate autonomous vehicles into our transportation ecosystem. Furthermore, the ADLS establishes a framework for continuous monitoring and updates, enabling ongoing assessments to keep pace with evolving technology and safety standards. © 2023 IEEE.

关键词： Automated driving Licensing system Locationing Micro strip Sensors UWB antenna

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A study of the feasibility of a cross-college curriculum based on the experience of student cooperation

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International Journal of technology and Design education 2023年第1期33卷 23-37页

作者： Cheng, Chu-Yu Kao, Chia-Pin Hsu, Tse-Wei Lin, Kuen-Yi Department of Creative Product Design Southern Taiwan University of Science and Technology Tainan Taiwan Department of Child Care and Education Southern Taiwan University of Science and Technology Tainan Taiwan Department of Information and Communication Southern Taiwan University of Science and Technology Tainan Taiwan Department of Technology Application and Human Resource Development and Institute for Research Excellence in Learning Sciences National Taiwan Normal University 162 Section 1 Heping E. Rd. Taipei City106 Taiwan

This study focused on the social context dimension to elucidate how students of different disciplinary backgrounds—Department of Childcare and Department of Design—share their learning and knowledge in a cooperative course and to evaluate the effectiveness of the integrated course operation. Design-based learning through a project activity includes the following four dimensions: the project’s features, teachers’ roles, assessment process, and social context relevant to the learning environment. In this study, a design-based collaborative course was implemented for undergraduate students from different departments. In this course, they cooperated in making an instructional animated film for kindergarten students. In the general learning process, students can experience frustration and loss of self-confidence when learning new skills;this was also noted in the present study when childcare students without a design background were instructed to make a film, and design students without experience in teaching methodologies were instructed to teach children. The result of the 18-week course indicated that students had trouble communicating with those from the other department but were ultimately satisfied with the substantial growth in their practical skills following this experimental cross-disciplinary cooperative curriculum. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.

关键词： Students

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Terahertz dual-beam leaky-wave antenna based on multi-mode spoof surface plasmon polariton waveguide

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Optoelectronics Letters 2025年

作者： BAI Yukun HAN Yuanqing Tianjin Key Laboratory of Film Electronic and Communication Devices， Engineering Research Center of Optoelectronic Devices and Communication Technology， Ministry of Education， School of Integrated Circuit Science and Engineering， Tianjin University of Technology

In this paper， a terahertz dual-beam leaky-wave antenna (LWA) based on a multi-mode spoof surface plasmon polariton (SSPP) waveguide is proposed. By dispersion engineering of the SSPP transmission line (SSPP TL)， multiple modes are excited on the SSPP TL. A dual-beam LWA is constructed based on the radiation from the first space harmonics of the guided fundamental mode and the first higher-order mode. The simulation results show that the antenna radiates frequency-dependent dual beams in the 1.9 ～ 2.6 THz operating frequency band. The average gains for the two beams are 12.9 dBi and 8.2 dBi， respectively. The compact dual-beam LWA is promising in the application of wireless communication and radar systems.

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Compact wideband filtering antenna based on SIW resonator

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Optoelectronics Letters 2025年

作者： LIU Shaoshuai BAI Yukun Tianjin Key Laboratory of Film Electronic and Communication Devices， Engineering Research Center of Optoelectronic Devices and Communication Technology， Ministry of Education， School of Integrated Circuit Science and Engineering， Tianjin University of Technology

This paper proposes a novel wideband filtering antenna based on a double-mode substrate integrated waveguide (SIW) resonator. By etching butterfly-shaped slots on the upper surface of the SIW resonator， mixed modes based on TE110 and TE120 are introduced， which enhances the antenna's bandwidth. Additionally， the incorporation of a defected ground structure (DGS) suppresses out-of-band radiation and improves the overall filtering performance of the antenna. The final design achieves a center frequency of 2.41 GHz with an impedance bandwidth of 11.71%. Compared to other filtering antennas， the proposed antenna features a compact size， wide bandwidth， excellent filtering performance， and ease of integration， meeting the high-integration and miniaturization requirements in wireless communication systems.

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Smart Automated Irrigation through IoT technology 5

Smart Automated Irrigation through IoT Technology

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5th International Conference on Smart Electronics and communication, ICOSEC 2024

作者： Hema, R. Subbulakshmi, S. Veera Jyothi, B. Gurulakshmi, R. Vignesh, M. Blessy Queen Mary, M. Bharath Institute of Higher Education & Research Department of Electronics and communication Engineering Chennai India Chaitanya Bharathi Institute of Technology Hyderabad India Erode Sengunthar Engineering College Department of Electronics and communication Engineering Perundurai638057 India Karpagam Institute of Technology Department of Artificial Intelligence and Data Science Coimbatore641105 India Government College of Technology Department of Information Technology Coimbatore India

ISBN: (纸本)9798331504403

This work presents the development and implementation of an IoT-based automatic irrigation system designed to optimize water usage in agricultural settings. The system integrates a Wireless Sensor Network (WSN) with the Blynk platform to enable real-time monitoring and control of irrigation parameters, including soil moisture, water level, and ambient light. Using an Arduino UNO microcontroller and an ESP-8266 Wi-Fi module, the system collects and processes sensor data to automate irrigation based on predefined thresholds. The Blynk platform facilitates remote data visualization and system control through customizable dashboards, allowing for both automatic and manual adjustments. The proposed system demonstrates a cost-effective solution for improving irrigation efficiency and reducing water waste, with implications for sustainable agricultural practices. © 2024 IEEE.

关键词： Soil moisture

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Block Verification Mechanism Based on Zero-Knowledge Proof in Blockchain

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Computer Systems science & Engineering 2023年第5期45卷 1805-1819页

作者： Jin Wang Wei Ou Osama Alfarraj Amr Tolba Gwang-Jun Kim Yongjun Ren School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410004China Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer Engineering Chonnam National UniversityGwangju61186Korea School of Computer Science Engineering Research Center of Digital Forensics of Ministry of EducationNanjing University of Information Science&TechnologyNanjing210044China

Since transactions in blockchain are based on public ledger verification,this raises security concerns about privacy *** it will cause the accumulation of data on the chain and resulting in the low efficiency of block verification,when the whole transaction on the chain is *** order to improve the efficiency and privacy protection of block data verification,this paper proposes an efficient block verification mechanism with privacy protection based on zeroknowledge proof(ZKP),which not only protects the privacy of users but also improves the speed of data block *** is no need to put the whole transaction on the chain when verifying block *** just needs to generate the ZKP and root hash with the transaction information,then save them to the smart contract for ***,the ZKP verification in smart contract is carried out to realize the privacy protection of the transaction and efficient verification of the *** the data is validated,the buffer accepts the complete transaction,updates the transaction status in the cloud database,and packages up the ***,the ZKP strengthens the privacy protection ability of blockchain,and the smart contracts save the time cost of block verification.

关键词： Blockchain privacy protection zero-knowledge proof smart contract

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Fe_(2)O_(3)-decorated boron/nitrogen-co-doped carbon nanosheets as an electrochemical sensing platform for ultrasensitive determination of paraquat in natural water

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Chinese Chemical Letters 2023年第1期34卷 446-451页

作者： Meng Li Xinzhong Wang Yelin Zhu Xiuxiu Jia Shusheng Zhang Huaisheng Wang Yongtao Li Guangzhi Hu School of Electronic Communication Technology Shenzhen Institute of Information TechnologyShenzhen 518172China College of Chemistry Zhengzhou UniversityZhengzhou 450000China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental ScienceYunnan UniversityKunming 650504China School of Materials Science and Engineering Liaocheng UniversityLiaocheng 252000China Joint Institute for Environmental Research and Education College of resources and environmentSouth China Agricultural UniversityGuangzhou 510642China

Boron/nitrogen-co-doped carbon(BCN)nanosheets decorated with Fe_(2)O_(3) nanocrystals(Fe_(2)O_(3)–BCN)were cast on a glassy carbon electrode(GCE)and applied as an electrochemical sensor to effectively detect paraquat(PQ),a toxic herbicide,in aqueous environments.A linear experiment performed using square wave voltammetry(SWV)under optimized experimental conditions produced a decent linear relationship and a low detection limit(LOD)of 2.74 nmol/L(S/N=3).Repeatability,reproducibility,stability,and interference experiments confirmed that the Fe_(2)O_(3)–BCN/GCE system exhibited decent electrochemical sensing performance for PQ ***,the designed sensor showed high selectivity and a decent linear relationship with PQ concentration in natural water *** the best of our knowledge,this is the first study on the preparation of Fe_(2)O_(3)–BCN nanosheets for PQ *** proposed sensor can be employed as an effective alternative tool for distinguishing and processing PQ.

关键词： Paraquat Fe_(2)O_(3)-BCN Electrochemical sensor Contaminant detection

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Enhancing Road Safety and User Experience through Intelligent Tollgate Systems and Vehicular communication Networks 5

Enhancing Road Safety and User Experience through Intelligen...

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5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Jebaraj, Bharath Singh Nasreen, M.Ayeesha Sushmitha, S. Azarudeen, A. Subha, T.D. Vivekrabinson, V. Kalasalingam Academy of Research and Educatuion Department of Computer Science and Engineeing Sriviliputhur India R.M.D. Engineering College Department of Electronics and Communication Engineering Thiruvallur India Rajalakshmi Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India R.M.K. Engineering College Thiruvallur Department of Electronics and Communication Engineering Thiruvallur India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798350367171

The automotive industry's growth, fueled by technology and job opportunities, has heightened global automobile sales. Despite this progress, road safety remains a concern, with numerous lives lost in car accidents annually. To address this, Vehicle-to-Vehicle (V2V) communication emerges, enhancing road safety through real-time information exchange. Roadside communication Units (RCUs) provide vital services, offering traffic updates, weather notifications, and immediate alerts about incidents. Intelligent tollgate systems in vehicles streamline transactions, and speed control systems ensure safer driving. Leveraging Zigbee technology enables seamless communication with toll plazas, improving traffic flow. This study aims to enhance road safety through intelligent tollgate systems, V2V communication, and innovative technologies, emphasizing their potential to optimize traffic flow and provide a more comfortable driving experience. Identified are future research directions and development opportunities in this dynamic field. © 2024 IEEE.

关键词： Zigbee

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Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining

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Journal of Computer Assisted Learning 2024年第4期40卷 1777-1790页

作者： Huang, Changqin Yu, Jianhui Wu, Fei Wang, Yi Chen, Nian-Shing Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Normal University Jinhua China School of Education Zhejiang International Studies University Hangzhou China College of Computer Science and Technology Zhejiang University Hangzhou China Institute for Research Excellence in Learning Sciences Program of Learning Sciences National Taiwan Normal University Taipei Taiwan

Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on identifying the crucial difference in emotion sequence patterns among different interaction groups remains in its infancy. Objectives: This research utilizes deep learning and sequential pattern mining to investigate whether there are differences in emotion sequence patterns across different groups of learners who exhibit various types of interactions in online discussion forums. Methods: Data from a comprehensive array of sources, including log files, discussion texts and scores from 498 learners in online discussion forums, were collected for this study. The agglomerative hierarchical algorithm is used to classify learners into groups with different levels of interactions. Additionally, we implement and evaluate multiple deep learning models for detecting different emotions from online discussions. Relevant emotion sequence patterns were identified using sequence pattern analysis and the identified emotion sequence patterns were compared across different groups with different levels of interactions. Results and Conclusions: Using an agglomerative hierarchical algorithm, we classified learners into three distinct groups characterized by different levels of interactions: high, average and low level. Leveraging the bi-directional long short-term memory model for emotion detection yielded the highest predictive performance, with an impressive F-measure of 94.01%, a recall rate of 93.83% and an accuracy score of 95.01%. The results also revealed that learners in the low-level interaction group experienced more emotion transition from boredom to frustration than the other two groups. Therefore, the aggregation of students into groups

关键词： deep learning emotion sequence patterns learning analytics learning behaviour sequential pattern mining

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