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2023 International Conference on Data science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Sharma, Priti Bamini, J. Vijayalakshmi, S. Vijayalakshmi, N. Meenambika, A. Singh, Vijendra Pratap Jagannath International Management School Vasant Kunj Department of Information Technology New Delhi India Sri Ramakrishna College of Arts & Science Department of Management Studies Coimbatore India Cmr Institute of Technology Department of Cse Bengaluru India Sns College of Technology Department of Cse Coimbatore India Psna College of Engineering and Technology Computer Science and Business Systems Dindigul India Mahatma Gandhi Kashi Vidyapith Department of Computer Science & Applications U.P. Varanasi India

ISBN: (纸本)9798350348910

Global cities are undergoing revolutionary changes thanks to the widespread adoption of Internet of Things (IoT) technologies. In order to shed light on the Internet of Things (IoT) potential to bring about a new era of sustainable smart cities, this study explores the myriad consequences of incorporating IoT into urban infrastructures. In this study, we used a variety of research approaches. Key performance factors for sustainability, efficiency, and user happiness were analyzed using the quantitative data obtained from 45 smart city initiatives throughout the world using IoT devices. Thirty urban planners, IoT experts, and legislators were interviewed semi-structured to glean qualitative insights on the perceived benefits, obstacles, and methods for successful integration. Preliminary findings point to considerable benefits in energy conservation, reduced traffic congestion, and cost savings due to IoT applications including real-time energy management, smart traffic solutions, and predictive maintenance. These applications not only improved city life, but also helped reduce carbon emissions. However, major obstacles were uncovered. The most common worries were on the safety of one's data, the invasion of one's privacy, and the potential widening of socioeconomic gaps caused by unequal access to technology. The need for consistent legislation, open data policies, and inclusive urban planning was a common theme among respondents. The study proposes a strategic framework for implementing IoT in urban areas based on the findings. It places an emphasis on group decision-making, broad consultation, and strict regulation. Citizens, technologists, and urban planners all have a role in ensuring that smart city development is sustainable, secure, and ultimately beneficial for all people. The Internet of Things has the potential to drastically improve city infrastructures. While its advantages can greatly improve urban sustainability and efficiency, overcoming obstacles and

关键词： Smart city

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A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

arXiv

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arXiv 2024年

作者： Chowdhury, Mohammed Nowaz Rabbani Wang, Meng Maghraoui, Kaoutar El Wang, Naigang Chen, Pin-Yu Carothers, Christopher Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute NY United States IBM Research Yorktown HeightsNY United States Department of Computer Science Rensselaer Polytechnic Institute NY United States

The sparsely gated mixture of experts (MoE) architecture sends different inputs to different subnetworks (experts), through trainable routers. MoE reduces the training computation significantly for large models, but its deployment can be still memory/computation expensive for some downstream tasks. Model pruning is a popular approach to reduce inference computation, but its application in MoE architecture is largely unexplored. To the best of our knowledge, this paper provides the first provably efficient technique for pruning experts in fine-tuned MoE models. We theoretically prove that prioritizing the pruning of the experts with a smaller change of the router’s l2 norm from the pre-trained model guarantees the preservation of test accuracy, while significantly reducing the model size and the computational requirements. Although our theoretical analysis is centered on binary classification tasks on simplified MoE architecture, our expert pruning method is verified on large vision MoE models such as V-MoE and E3-MoE fine-tuned on benchmark datasets such as CIFAR-10, CIFAR-100, and ImageNet. Copyright © 2024, The Authors. All rights reserved.

关键词： Large datasets

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A vision-based framework for human behavior understanding in industrial assembly lines

arXiv

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arXiv 2024年

作者： Papoutsakis, Konstantinos Bakalos, Nikolaos Fragkoulis, Konstantinos Zacharia, Athena Kapetadimitri, Georgia Pateraki, Maria Institute of Computer Science Foundation for Research and Technology - Hellas Greece School of Rural Surveying and Geoinformatics Engineering National Technical University of Athens Greece Institute of Communication and Computer Systems National Technical University of Athens Greece

This paper introduces a vision-based framework for capturing and understanding human behavior in industrial assembly lines, focusing on car door manufacturing. The framework leverages advanced computer vision techniques to estimate workers' locations and 3D poses and analyze work postures, actions, and task progress. A key contribution is the introduction of the CarDA dataset, which contains domain-relevant assembly actions captured in a realistic setting to support the analysis of the framework for human pose and action analysis. The dataset comprises time-synchronized multi-camera RGB-D videos, motion capture data recorded in a real car manufacturing environment, and annotations for EAWS-based ergonomic risk scores and assembly activities. Experimental results demonstrate the effectiveness of the proposed approach in classifying worker postures and robust performance in monitoring assembly task progress. © 2024, CC BY.

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Solving Disassembly Line Balancing Problems via Q-learning Based Iterative Algorithm With Minimizing Cycle Time

Solving Disassembly Line Balancing Problems via Q-learning B...

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第35届中国控制与决策会议

作者： Dachao Li Kaizhou Gao Yaxian Ren Yaping Fu Zile Luo School of Computer Science Liaocheng University School of Business Qingdao University Macau Institute of Systems Engineering Macau University of Science and Technology

This work investigates type II disassembly line balancing *** objective is to minimize the cycle time with a fixed workstation ***,a mathematical model is built to describe the concerned *** time between tasks is represented by an interference time ***,seven local search operators are developed according to problem-specific feature and knowledge.Q-learning is employed to select appropriate local search operator during algorithm's iterative ***,11 instances are *** and discussions show that the proposed iterative algorithm combining with Q-learning based local search can solve the disassembly line balancing problems well.

关键词： Type Ⅱ disassembly line Q-learning Cycle time

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An Automatic Extraction of Features from Water Bodies by using Contrast Vision Transformer 2

An Automatic Extraction of Features from Water Bodies by usi...

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2nd IEEE International Conference on Integrated Intelligence and Communication systems, ICIICS 2024

作者： Madhumitha, A. Al-Fatlawi, Muhammed Sai Srinivas, T. Aditya Ramachandra, A.C. Venkatasubramanian, R. Department of Computer Science and Business Systems Bannari Amman Institute of Technology Sathyamangalam Erode India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Artificial Intelligence and Machine Learning Jayaprakash Naryan College of Engineering Mahabubnagar India Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bengaluru India Department of Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai India

ISBN: (纸本)9798331504960

In recent days, for strengthening the climate change adaption water features are utilizing as the most crucial environmental element. The integration of Remote Sensing (RS) with Artificial Intelligence (AI) is becoming the major sought-after approach for extracting the features of water information. In existing, the Faster Regional Convolution Neural Network (FR_CNN) is utilized for the water bodies’ extraction. However, the existing FR_CNN model struggled with computational complexity. To overcome this issue, Contrast Vision Transformer (CoVT) is proposed to extract features from water bodies. The transformer with self-attention mechanism reduces the computational complexity by eliminating regional proposal networks. Initially, the satellite images are taken from sentinel-2 dataset and further processed into preprocessing. In preprocessing Gaussian Median Filter (GMF) and Atmospheric Correction (AC) are utilized to reduce the noise and atmospheric effects from images. After that, proposed CoVT extract features from preprocessed images and fed into projection head to generate projected features. Finally, the projected features are further processed with prediction head to predict the satellite image features of water bodies. From the results, the proposed CoVT provided better results when compared to existing FR_CNN by providing results such as accuracy (99.4%), precision (99.1%), recall (98.5%) and F1-score (98.7%) respectively. © 2024 IEEE.

关键词： Median filters

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The Cost of Balanced Training-Data Production in an Online Data Market 25

The Cost of Balanced Training-Data Production in an Online D...

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34th ACM Web Conference, WWW 2025

作者： Chaintreau, Augustin Maio, Roland Ziani, Juba Columbia University Computer Science Department New YorkNY United States Georgia Institute of Technology Industrial and Systems Engineering AtlantaGA United States

ISBN: (纸本)9798400712746

Many ethical issues in machine learning are connected to the training data. Online data markets are an important source of training data, facilitating both production and distribution. Recently, a trend has emerged of for-profit "ethical" participants in online data markets. This trend raises a fascinating question: Can online data markets sustainably and efficiently address ethical issues in the broader machine-learning economy? In this work, we study this question in a stylized model of an online data market. We investigate the effects of intervening in the data market to achieve balanced training-data production. The model reveals the crucial role of market conditions. In small and emerging markets, an intervention can drive the data producers out of the market, so that the cost of fairness is maximal. Yet, in large and established markets, the cost of fairness can vanish (as a fraction of overall welfare) as the market grows. Our results suggest that "ethical" online data markets can be economically feasible under favorable market conditions, and motivate more models to consider the role of data production and distribution in mediating the impacts of ethical interventions. © 2025 Copyright held by the owner/author(s).

关键词： Marketplaces

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Relip: Reliable in-Band Parallel Communication for Magnetic MIMO Wireless Power Transfer System

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IEEE Transactions on Mobile Computing 2025年

作者： Wang, Xinyu Zhou, Wangqiu Zhou, Hao Jiang, Shenyao Liu, Zhi Wang, Xiaoyan Ji, Yusheng Song, Qi City University of Hong Kong Department of Computer Science Hong Kong University of Science and Technology of China School of Computer Science and Technology Hefei230027 China The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo182-8585 Japan Ibaraki University Graduate School of Science and Engineering Ibaraki310-8512 Japan National Institute of Informatics Information Systems Architecture Science Research Division Tokyo101-0003 Japan

In magnetic resonant coupling (MRC) based wireless power transfer (WPT) systems, receiver (RX) feedback communication is promising to enhance the capability and efficiency of the system. Although some studies have explored in-band implementations with low overhead costs, it has not been comprehensively investigated. In this paper, we propose Relip, a Reliable layer-level in-band parallel feedback communication mechanism for MIMO MRC-WPT systems, which addresses the impact of RX-RX couplings (i.e., non-negligible interference from strong couplings and positive effects of relay phenomenon), and provides a theoretical analysis of communication reliability. Technically, we first devise an On-Off based two-phase modulation mechanism to achieve RX identification and dependency detection under relay phenomenon. Then, we utilize observed channel decomposability to collect group-level power transfer channel conditions for eliminating the interference caused by strong RX-RX couplings. Furthermore, we perform RX selection to optimize the trade-off between communication reliability and time overhead. We design and implement the Relip prototype and conduct extensive experiments. The results validate the effectiveness of our mechanism, i.e., Relip can provide ≥99% average decoding accuracy for concurrent feedback communication of 14 devices, achieving an 18.31% improvement compared to the state-of-the-art solution. © 2002-2012 IEEE.

关键词： Inductive power transmission

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Investigating the Effects of Simulated Eye Contact in Video Call Interviews 25

Investigating the Effects of Simulated Eye Contact in Video ...

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Proceedings of the 2025 CHI Conference on Human Factors in Computing systems

作者： Andrew Jelson Md Tahsin Tausif Sol Ie Lim Soumya Khanna Sang Won Lee Computer Science Virginia Tech Blacksburg Virginia USA Industrial and Systems Engineering Virginia Tech Blacksburg Virginia USA Virginia Tech Blacksburg Virginia USA

ISBN: (纸本)9798400713941

Some people suggest that deliberately watching the camera during video calls can simulate eye contact and help build trust. In this study, we investigated the effects of simulated eye contact in video calls and job interviews through an experimental study and a survey. Study 1 involved participants in a mock interview as an interviewer, where a confederate interviewee simulated eye contact half the time. The gaze patterns of the participants were tracked to understand the effects. In Study 2, we conducted an online survey to confirm the findings of Study 1 on a larger scale by asking those with experience interviewing to evaluate interviewees based on interview videos, half of which simulated eye contact. The results of both studies indicate that simulated eye contact had little impact on their evaluation compared to common belief. We discuss how the results motivate future work and how computational approaches to correcting eye gaze can be deceptive. © 2025 Copyright held by the owner/author(s).

关键词： video call

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Network Slicing for eMBB and mMTC with Finite Blocklength Codes

Network Slicing for eMBB and mMTC with Finite Blocklength Co...

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International Conference on Modern Circuits and systems Technologies (MOCAST)

作者： Vasiliki I. Koutsioumpa Nikos A. Mitsiou Sotiris A. Tegos Panagiotis D. Diamantoulakis Thomas Lagkas Panagiotis Sarigiannidis George K. Karagiannidis Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Departrnent of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Department of Computer Science International Hellenic University Kavala Campus Greece Artificial Intelligence & Cyber Systems Research Center Lebanese American University (LAU) Lebanon

ISBN: (数字)9798350385427

ISBN: (纸本)9798350385434

Network slicing appears as a key enabler for next-generation wireless networks and together with multiple access schemes can meet the quality of service (QoS) requirements of various users and services. Thus, in this work, a heteroge-neous uplink network is investigated, where enhanced mobile broadband (eMBB) and massive machine-type communications (mMTC) users coexist and share the same resources. The problem of maximizing the sum-rate of eMBB users utilizing the rate-splitting multiple access (RSMA) protocol is formulated and optimally solved, whereas the optimal decoding order and power splitting factor are investigated. In addition, short packet communications are taken into account for the mMTC users and their optimal transmission power is derived in closed form. Simulation results verify the enhancement that the RSMA scheme provide compared to the NOMA counterpart.

关键词： NOMA Protocols Enhanced mobile broadband Network slicing Wireless networks Simulation Quality of service

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Design and Development of Drone Seed Dispersal Mechanism using Novel Narcondam Hornbill Algorithm in Barren Lands

Design and Development of Drone Seed Dispersal Mechanism usi...

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International Multidisciplinary Conference on computer and Energy science (SpliTech)

作者： Suresh Chavhan Beerelly Srinitha Sikander Kathat Ashit Kumar Dutta Joel J. P. C. Rodrigues Department of Computer Science and Engineering Indian Institute of Information and Technology Raichur Karnataka India Department of Computer Science and Information Systems College of Applied Sciences AlMaarefa University Riyadh Kingdom of Saudi Arabia Amazonas State University Manaus AM Brazil

ISBN: (数字)9789532901351

ISBN: (纸本)9798350390797

Seed dispersal plays a crucial role in the survival of plant species, but human activities are disrupting this process, leading to ecosystem degradation. There is a need to develop innovative seed dispersal algorithms to restore degraded ecosystems and prevent further biodiversity loss. Drones can be used as powerful tools to assess the state of ecosystems, identify areas requiring seed dispersal, and monitor restoration progress. By leveraging drones, more effective seed dispersal algorithms can be developed to promote diverse plant communities and ensure long-term ecosystem sustainability. One of the challenges in simulating seed dispersal is the difficulty in accounting for the complex interactions between different environmental factors and seed characteristics. The proposed algorithm aims to address existing models' limitations and improve seed dispersal efforts' effectiveness. This algorithm utilizes the endozoochory process of the Narcondam Hornbill to optimize seed dispersal efficiency, which has been successfully tested and implemented in simulated environments.

关键词： Degradation Biological system modeling Ecosystems Seeds (agriculture) Biodiversity Sustainable development Biomedical monitoring

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