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8th International Conference on information and Communication Technology for Competitive Strategies, ICTCS 2023

作者： Sasi, Ashwin Anuvind, M.P. Nair, Harishankar Binu Kumar, R. S. Harish Sathyan, Soumya Pandi, V. Ravikumar Valsan, Vipina Suresh, Kavya Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9789819994854

Traffic congestion has emerged as a pervasive challenge across global urban landscapes, inducing delays, productivity losses, and heightened air pollution. Conventional traffic signal systems often falter in adapting to evolving traffic dynamics, compromising road network efficiency. To address this a novel paradigm—a smart traffic control system leveraging advanced computer technology is proposed. This system employs real-time monitoring and analysis to dynamically adjust traffic signals, optimizing traffic flow, and mitigating congestion-related adversities. The integration of deep learning and computer vision technologies is used to enable a nuanced understanding of visual data and patterns. Remarkably, the YOLO tool is utilized to enhance the system’s capacity to swiftly identify emergency vehicles and give them priority. The proposed system is designed to efficiently handle traffic density and includes features for prioritizing emergency vehicles. Furthermore, it employs a non-uniform allocation of waiting times to lanes, which is contingent upon real-time traffic density and patterns. A working model demo was designed and it was found effective in making intelligent decisions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Traffic congestion

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computer-aided detection of retinopathy of prematurity severity assessment via vessel tortuosity measurement in preterm infants’ fundus images

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Eye (Basingstoke) 2024年第17期38卷 3309-3317页

作者： Huang, Yo-Ping Vadloori, Spandana Kang, Eugene Yu-Chuan Fukushima, Yoko Takahashi, Rie Wu, Wei-Chi Department of Electrical Engineering National Penghu University of Science and Technology Department of Electrical Engineering National Taipei University of Technology Department of Information and Communication Engineering Chaoyang University of Technology Department of Ophthalmology Chang Gung Memorial Hospital College of Medicine Chang Gung University Department of Ophthalmology Osaka University Department of Ophthalmology Fukuoka University

Objective: To develop a computer-aided diagnostic system for retinopathy of prematurity (ROP) disease using retinal vessel morphological features. Methods: A total of 200 fundus images from 136 preterm infants with stage 1 to 3 ROP were analysed. Two methods were developed to measure vessel tortuosity: the peak-and-valley method and the polynomial curve fitting method. Correlations between temporal artery tortuosity (TAT) and temporal vein tortuosity (TVT) with ROP severity were investigated, and vessel tortuosity relationships with vessel angles (TAA and TVA) and vessel widths (TAW and TVW). A separate dataset from Japan containing 126 images from 97 preterm patients was used for verification. Results: Both methods identified similar tortuosity in images without ROP and mild ROP cases. However, the polynomial curve fit method demonstrated enhanced tortuosity detection in stages 2 and 3 ROP compared to the peak and valley method. A strong positive correlation was revealed between ROP severity and increased arterial and venous tortuosity (P < 0.0001). A significant negative correlation between TAA and TAT (r = –0.485, P < 0.0001) and TVA and TVT (r = –0.281, P < 0.0001), and a significant positive correlation between TAW and TAT (r = 0.204, P value = 0.0040) were identified. Similar results were found in the test dataset from Japan. Conclusions: ROP severity was associated with increased retinal tortuosity and retinal vessel width while displaying a decrease in retinal vascular angle. This quantitative analysis of retinal vessels provides crucial insights for advancing ROP diagnosis and understanding its progression. © The Author(s), under exclusive licence to The Royal College of Ophthalmologists 2024.

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How does the digitalization of the SCOR model contribute to the efficiency of supply chain operations?

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Logistique et Management 2024年第4期32卷 194-214页

作者： Hrouga, Mustapha Said, Dhaou Department of Finance Operations and Marketing Brest Business School Brest France School of Electrical Engineering and Computer Science University of Ottawa Canada

Résumé: Les outils digitaux tels que la blockchain, l’Internet des objets (IoT) et le big data (BD) ont été largement utilisés pour digitaliser la logistique et la gestion de la chaîne d’approvisionnement (CA). En fait, la technologie blockchain peut offrir divers avantages tels que la confiance, la traçabilité et la transparence qui permettent d’améliorer les performances de la chaîne d’approvisionnement. En plus, l’IoT est considéré comme la technologie la plus encourageante pour suivre et partager des informations en temps réel entre tous les acteurs de la CA. Enfin, le BD est considéré comme un outil très puissant et efficace pour optimiser la CA et permet à plusieurs entreprises de contrôler et de traiter une énorme quantité de données. C’est pour ces raisons que dans cet article, nous proposons d’utiliser ces technologies numériques pour développer un modèle SCOR digital pour une CA efficace, intelligente et performante. Afin de mettre en lumière les performances de cette étude, un modèle SCOR est initialement présenté pour mettre en évidence les avantages et les impacts de ces trois technologies sur les principales activités de la CA, notamment plan, source, make, deliver et return. Ensuite, les trois technologies sont combinées où le cloud est utilisé comme PaaS (platform as service) afin de les connecter. Enfin, pour valider le modèle SCOR 4.0 proposé, nous avons présenté un exemple didactique avec une CA multi-échelons et demande déterministe. Les résultats ont montré que le modèle proposé a permis d’améliorer la visibilité de la CA et d’augmenter le niveau de satisfaction des clients. © 2024 KEDGE Business School.

关键词： Supply chain 4.0 Digitalisation Modèle SCOR Blockchain internet des objets Big data Supply chain 4.0 digitalization SCOR model blockchain Internet of Things big data

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Soft Prompt Recovers Compressed LLMs, Transferably 41

Soft Prompt Recovers Compressed LLMs, Transferably

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41st International Conference on Machine Learning, ICML 2024

作者： Xu, Zhaozhuo Liu, Zirui Chen, Beidi Zhong, Shaochen Tang, Yuxin Wang, Jue Zhou, Kaixiong Hu, Xia Shrivastava, Anshumali Department of Computer Science Stevens Institute of Technology United States Department of Computer Science Rice University United States Department of Electrical and Computer Engineering Carnegie Mellon University United States Together AI United States Department of Electrical and Computer Engineering North Carolina State University United States ThirdAI Corp. United States

Model compression is one of the most popular approaches to improve the accessibility of Large Language Models (LLMs) by reducing their memory footprint. However, the gaining of such efficiency benefits often simultaneously demands extensive engineering efforts and intricate designs to mitigate the performance decline. In this work, we leverage (Soft) Prompt Tuning in its most vanilla form and discover such conventionally learned soft prompts can recover the performance of compressed LLMs. More surprisingly, we observe such recovery effect to be transferable among different tasks and models (albeit natural tokenizer and dimensionality limitations), resulting in further overhead reduction and yet, subverting the common belief that learned soft prompts are task-specific. Our work is fully orthogonal and compatible with model compression frameworks such as pruning and quantization, where we enable up to 8× compressed LLM (with a joint 4-bit quantization and 50% weight pruning compression) to match its uncompressed counterparts on popular benchmarks. We note that we are the first to reveal vanilla Parameter-Efficient Fine-Tuning (PEFT) techniques have the potential to be utilized under a compression recovery context, opening a new line of opportunities for model accessibility advancement while freeing our fellow researchers from the previously present engineering burdens and constraints. The code is available at https://***/zirui-ray-liu/compress-thenprompt. Copyright 2024 by the author(s)

关键词： Benchmarking

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Implementation of IoT Enabled RFID Driven Human Life Rescuer in Railways 2

Implementation of IoT Enabled RFID Driven Human Life Rescuer...

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2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Kalaiselvi, V.K.G. Swathi, K. Sri Aishwarya, W. Rakshana, S. Shanmugasundaram, Hariharan Kukreja, Vinay Sri Sai Ram Engineering College Department of Information Technology Chennai India Vardhaman College of Engineering Department of Computer Science and Engineering Hyderabad India Chitkara University Institute of Engineering and Technology Chitkara University Department of Computer Science and Engineering Punjab India

ISBN: (纸本)9781665456302

As per the Data Compiled by the Ministry of Indian Railways, there are nearly 5413 people who lost their lives in Railway accidents from 2015-2020, most of which are due to careless and rushed boarding & de-boarding. Thus, a proposed model called 'RFID enabled Railway Rescuer' is introduced to minimize these railway accidents. The proposed Internet of Things (IoT) system consists of a Radio Frequency Identification (RFID) tag, that detects the passenger in ZOR (Zone of Risk - The Door Edge) which in turn triggers the RFID reader fixed in the compartment. The Activated RFID reader will sense all the RFID tags that are present in the ZOR by providing alerts in the form of sound beeps or lights on the Door Edge. Or in other cases, it sends quick notifications to the passengers who are holding respective RFID tags. These notifications alert the passenger to change their standing position. By this, the proposed model tends to minimize railway accidents & thus save many innocent lives. © 2023 IEEE.

关键词： Internet of things

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Social Network Hashtag Analysis for the 75th Year of India’s Independence 1

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8th International Conference on Emerging Research in Computing, information, Communication and Applications, ERCICA 2023

作者： Veeramanohar, A. Nishanth, A.J. Vishvajit, S. Ramya, G.R. Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (数字)9789819976331

ISBN: (纸本)9789819976324

The social media platform Twitter is all about what’s happening in the world. Twitter has been the core of spread of information when compared with other social media platforms. Anything and everything break open on twitter first before it reaches the other social media platforms, it is unlike any other and everything can be found in one place (Yum in Soc Sci Q 101(4):1642–1647, 2020;Mishra et al. in 2016 International conference on information technology (InCITe)—the next generation IT summit on the theme—internet of things: connect your worlds, pp 148–153, 2016). It is observed that people turn to twitter users first when they want to know something. This study explores how the influential twitter users play a crucial role in social networks. This study aimed to analyze the hashtag of the 75th year of Indian Independence tweets using social network analysis (SNA). SNA techniques are performed to measure certain centrality measures and plot their graphs to find the most influential user in the network. Sentiment analysis is performed on the dataset to determine the positive and negative emotions surrounding the 75th year of Indian Independence. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Sentiment analysis

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A Four-Valued Ambiguous Logic: Application in Designing Ambiguous Inference System for Control Systems

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International Journal of Fuzzy Systems 2023年第8期25卷 2921-2938页

作者： Singh, Pritpal Huang, Yo-Ping Quantum Optimization Research Lab Department of Data Science and Analytics Central University of Rajasthan Rajasthan Ajmer305817 India Department of Electrical Engineering National Penghu University of Science and Technology Penghu88046 Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei10608 Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Taichung41349 Taiwan

Ambiguous set has recently been introduced as a new branch of mathematics and computer science dealing with the nature of ambiguity of uncertain events. There is much scope for the development of new theories based on the principles of the ambiguous set. In this direction, an idea of ambiguous logic is proposed, which can be regarded as a family of four-valued logic. In this study, the limitations of existing theories such as fuzzy logic, intuitionistic fuzzy logic, and neutrosophic logic that are used to deal with uncertainty are first discussed. Then an introduction to the ambiguous set and ambiguous logic is given. In ambiguous logic, there are four membership degrees for each proposition, which can be characterized as true, false, true-ambiguous, and false-ambiguous. We then analyze the membership degrees of propositions using various connectives, including negation, conjunction, and disjunction. In this study, we discuss various laws that support the different algebraic operations for comparing propositions in terms of membership degrees. An approach is presented to define a rule using a proposition consisting of membership degrees, called an ambiguous rule. The modus ponens rule of inference is defined by combining various ambiguous rules, and is called ambiguous inference. Finally, to demonstrate the real-time application of ambiguous logic, an ambiguous inference system is designed that can be used in machine control systems. © 2023, The Author(s) under exclusive licence to Taiwan Fuzzy Systems Association.

关键词： Fuzzy logic

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Transformer-Less Integrated Wind Turbine-Power Transmission Line Systems 12

Transformer-Less Integrated Wind Turbine-Power Transmission ...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： Nasser Danapour, S. Mohammadi, Fazel Department of Electrical and Computer Engineering University of Tabriz Tabriz51666-67541 Iran Electrical and Computer Engineering and Computer Science Department University of New Haven West HavenCT06516 United States

The integrated wind turbine-power transmission line systems integrate wind turbines into high-voltage power transmission lines by directly interconnecting wind turbines to high-voltage power transmission lines without using high-voltage power transformers. In such systems, by considering double-circuit power transmission lines, creating a specific phase difference between two power transmission lines can lead to creating an appropriate voltage difference vector between them for injecting the power of wind turbines into power transmission lines without using high-ratio step-up power transformers. Then, a number of power transformers, which are termed receiving-end transformers, absorb the injected power of wind turbines. Such transformers increase the complexity and overall cost of the system. In this paper, an improved method for creating a voltage difference vector between two power transmission lines in an integrated wind turbine-power transmission line system is proposed. In addition, a new approach for injecting the power of wind turbines into power transmission lines and delivering to the load center without the need for receiving-end transformers is presented. The proposed method and its operation are analyzed in MATLAB/Simulink. © The Institution of engineering & Technology 2023.

关键词： Electric power transmission

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A Study of Dual Active Bridge Converter Performance

A Study of Dual Active Bridge Converter Performance

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2024 Asia Pacific Conference on Innovation in Technology, APCIT 2024

作者： Dhananjaya, B. Sadhana, B. Bagchi, Susama Debnath, Sanjoy Kumar Chakraborty, Tapan Kumar Debnath, Manika Nitte Dept of EEE India Canara Engineering College Dept of Information Science and Engineering Bantwal India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India University of Asia Pacific Department of Electrical & Electronics Engineering Bangladesh Assam Science and Technology University Department of Electrical Engineering Assam Guwahati India

ISBN: (纸本)9798350361537

Dual Active Bridge (DAB) converter is the most prominent topology of Isolated Bidirectional DC-DC (IBDC) converters. This type of DAB converter serves as interface between the energy storage devices for renewable energy systems applications and, highly applied in automotive applications like electric, hybrid and fuel cell vehicles and aerospace applications and personal electronic equipment. Hence, this type of DAB converter topology requires detail methodical study in terms of its reliability, efficiency, safety and durable performance operation. The aim of this work is to learn the working principle, performance of operation, design and case study simulation to validate DAB converter. DAB converter allows the power to flow in both directions between the two energy sources. Different type of these converter topologies will provide different functions and services in accordance to their structure and components, which depends upon the applications. Hence, they are widely used. © 2024 IEEE.

关键词： Automobile electronic equipment

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RIS Assisted Dual-Function Radar and Secure Communications Based on Frequency-Shifted Chirp Spread Spectrum Index Modulation

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China Communications 2023年第10期20卷 85-99页

作者： Xiaoping Jin Peng Zhang Chuan Wan Dingyou Ma Yudong Yao Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province College of Information EngineeringChina Jiliang UniversityHangzhou 310018China Key Laboratory of Universal Wireless Communications Ministry of EducationSchool of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China Electrical and Computer Engineering Department Stevens Institute of TechnologyHobokenNJ 07030USA

Reconfigurable intelligent surface(RIS)assisted dual-function radar communications(DFRC)system is a promising integrated sensing and communication(ISAC)technology for future *** this paper,we propose a scheme of RIS-assisted DFRC system based on frequency shifted chirp spread spectrum index modulation(RDFI)for secure *** proposed RDFI achieves the sensing and transmission of target location information in its radar and communication modes,*** both modes,the frequency-shifted chirp spread spectrum index modulation(FSCSS-IM)signal is used as the baseband signal for radar and communications,so that the signal sent by the radar also carries *** scheme implements the RIS-assisted beamforming in the communication mode through the azimuth information of the target acquired in the radar mode,so that the signal received from the eavesdropper is distorted in amplitude and *** addition,this paper analyzes the radar measurement accuracy and communication security of the FSCSS-IM signal using ambiguity function and secrecy rate(SR)analysis,*** results show that RDFI achieves both excellent bit error rate(BER)performance and physical layer security of communications.

关键词： index modulation secure communications ISAC DFRC reconfigurable intelligent surface

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