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6th International Conference on Energy Conservation and Efficiency, ICECE 2023

作者： Liaqat, Umair Sohaib, Muhammad Shaukat, Hamza Younis, Usman Hafiz, Rehan Tauqeer, Tauseef Information Technology University Faculty of Engineering Lahore Pakistan National Center of Robotics and Automation Industrial Monitoring and Automation Lab Pakistan

ISBN: (纸本)9798350332193

The purpose of this study is to analyze the health and power quality analysis of motors installed at different blocks of Johar Town Lahore installed by Water and Sanitation Authority (WASA) Lahore. Induction motors are the most important components of industries due to their cost-effectiveness, robustness and high efficiency. However, these motors are prone to some mechanical and electrical faults with time. Most of the faults are due to mismanagement of power and load variations. Usually, health monitoring and quality analysis of induction motors is laborious work. This study was conducted by keeping in mind the most widely used standards of the International Electro-technical Commission (IEC) and the institute of Electrical and Electronics Engineer (IEEE). To enhance the effectiveness of the electrical systems, a detailed inspection and knowledge are needed for every power system. This technique involves taking measurements from motors in different states i.e. rest, transient and steady. The comparison of the results on different parameters with the help of graphical data is presented in this study for the safe and economical use of machines. The study covers only seven motors out of 596 installed motors at tube well sites in the city of Lahore covering almost 8 million people. There is no existing system to analyze the performance, efficiency and health of these motors. This study may be helpful in quality assurance and save from critical failure that tends to disturb the water supply system. It can also beneficial of saving the cost of repair and plant's down time. It may be recommended to analyze thoroughly the remaining tube well motors for the beneficial of WASA water supply system. © 2023 IEEE.

关键词： Induction motors

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Heat transfer simulation of optogenetics-LED based on microchannel heat dissipation

Heat transfer simulation of optogenetics-LED based on microc...

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2024 International Conference on Optoelectronic Information and Computer engineering, OICE 2024

作者： Liu, Lusheng Le, Song Zhang, Yuan Zhang, Jing Wang, Aiping Bin, Jianxiong Niu, Lan Zhang, Lihua Kang, Xiaoyang Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI & Robotics Ministry of Education Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI and Robotics Academy for Engineering & Technology Fudan University Shanghai200433 China Ji Hua Laboratory Guangdong Province Foshan528200 China Yiwu Research Institute of Fudan University Zhejiang Yiwu City322000 China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou311121 China

ISBN: (纸本)9781510682504

Optogenetics technology has greatly promoted the development of neuroscience. Flexible gene manipulation tools and sensitive light activation methods have provided convenience for neural function research. However, the thermal effect generated in the process of light stimulation affects the activation of neurons by optogenetic technology, which makes the results of light-activated light-sensitive proteins to generate neural currents inaccurate. Here, we established an in vivo activation model of LED-based optogenetic technology through simulation and analyzed the thermal effect produced by it. We propose to use microchannels to dissipate heat from implanted devices, reducing the thermal effect of light stimulation for neural activation. Through simulation, we propose the use of the vortex-like and cobweb-like microchannels for heat dissipation, which can control the temperature rise within 0.28K and 0.31K, respectively. © 2024 SPIE.

关键词： Heat losses

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LabView based Automated Motor Test Bench for Induction Motors 4

LabView based Automated Motor Test Bench for Induction Motor...

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4th International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2023

作者： Sohaib, Muhammad Shaukat, Hamza Tauqeer, Tauseef Shahid, Arslan Younis, Usman Hafiz, Rehan Information Technology University Faculty of Engineering Lahore Pakistan Industrial Monitoring and Automation Lab National Center of Robotics and Automation Pakistan

ISBN: (纸本)9798350335316

Induction motors comprise more than 90 percent of the industrial load. With time, Induction motors are prone to losses. To save energy consumption, predictive maintenance of motors must be carried out at regular intervals. The industrial monitoring and automation lab has developed state-of-the-art motor test bench facility which is completely automated using LabView - a widely used industrial software. The manual methods of motor testing are not only hectic but also unreliable. A systematic approach has been adopted to measure and analyze various parameters of the induction motor, which will help us to identify key performance factors. This work is towards the development of a high performance motor test bench facility for industrial load. In its current state it can measure up to 15 hp induction motors and perform the tests such as No-Load Test, Full-Load Test, Locked-Rotor Test, Temperature Rise Test, DC Winding Test etc. © 2023 IEEE.

关键词： Induction motors

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Light-based 3D printing of stimulus-responsive hydrogels forminiature devices:recent progress and perspective

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Bio-Design and Manufacturing 2024年第5期7卷 721-746页

作者： Chen Xin Neng Xia Li Zhang Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong Kong 999077China Multi-Scale Medical Robotics Center Hong Kong Science ParkShatin NTHong Kong 999077China Chow Yuk Ho Technology Center for Innovative Medicine The Chinese University of Hong KongHong Kong 999077China Department of Surgery The Chinese University of Hong KongHong Kong 999077China CUHK T Stone Robotics Institute The Chinese University of Hong KongHong Kong 999077China

Miniature devices comprising stimulus-responsive hydrogels with high environmental adaptability are now considered competitive candidates in the fields of biomedicine,precise sensors,and tunable *** and advanced fabricationmethods are critical formaximizing the application capabilities ofminiature ***-based three-dimensional(3D)printing technology offers the advantages of a wide range of applicable materials,high processing accuracy,and strong 3D fabrication capability,which is suitable for the development of miniature devices with various *** paper summarizes and highlights the recent advances in light-based 3D-printed miniaturized devices,with a focus on the latest breakthroughs in lightbased fabrication technologies,smart stimulus-responsive hydrogels,and tunable miniature devices for the fields of miniature cargo manipulation,targeted drug and cell delivery,active scaffolds,environmental sensing,and optical ***,the challenges in the transition of tunable miniaturized devices from the laboratory to practical engineering applications are *** opportunities that will promote the development of tunable microdevices are elaborated,contributing to their improved understanding of these miniature devices and further realizing their practical applications in various fields.

关键词： 3D printing Stimulus-responsive hydrogels Miniature devices Shape-morphing

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A Robotic Platform for Digitalized Pulse Information Collection 12

A Robotic Platform for Digitalized Pulse Information Collect...

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12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022

作者： Xing, Zhu Zhongzhi, Ji Fanyu, Wang Peng, Zhou Jingjing, Luo Institute of Ai and Robotics Academy for Engineering and Technology Fudan University China Engineering Research Center for Intelligent Robotics Jihua Laboratory Guangdong China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Different types of pulse collection equipment have been developing for Traditional Chinese Medicine (TCM) and its pulse diagnosis. However, pulse diagnosis instrument still cannot meet the actual needs of clinical use. This paper designs a digitalized pulse information collection platform, which ensures the efficient acquisition of pulse information with high accuracy, reliability, and completeness of data in the practical application. The device is designed with four degrees of freedom for linear movement in three directions of X (translation), Y (lift), and Z (forward and backward) and z-axis (roll) rotation. It uses the image localization model and three-dimensional reconstruction algorithm to output the acquisition position and pressing direction with success rate of 93%. In-dependent three-point Series Elastic Actuator (SEA) is designed to adapt to the special shape of wrist realizing the 'three fingers in parallel' in TCM. It implements the finger pressure for 10 levels from 50gf to 200gf with the force control accuracy within ±2.5gf. The device was applied in a cohort pulse data study of 3,036 subjects, and 2,800 pulse data were collected, with a usable rate of 92.2%. © 2022 IEEE.

关键词： Force control

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Effects of Addition of Graphite on the Tribological Behaviour of Al7075-SiC Hybrid Composites Using Design of Experiments

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Journal of Bio- and Tribo-Corrosion 2024年第3期10卷 1-11页

作者： Gudipalli, Krishna Reddy V Chapke, Yashwant Guddhur, Hareesha Doddamani, Saleemsab Department of Mechanical Engineering Government Polytechnic Channasandra Karnataka Bangalore India Department of Automation & amp Robotics JSPM’S Rajarshi Shahu College of Engineering Maharashtra Pune India Department of Mechanical Engineering Government Engineering College Karnataka HuvinaHadagali India Department of Mechanical Engineering National Institute of Technology Karnataka Karnataka Surathkal India

Despite the widespread use of Al7075-SiC composites in various engineering applications, their tribological performance remains a subject of interest due to challenges related to friction and wear. This study addresses the need for improved lubrication in such composites by investigating the potential of Al7075-SiC/Graphite hybrid materials. The incorporation of graphite particles, up to 9% by weight, aims to enhance the self-lubricating properties of these composites. Stir casting is employed to fabricate specimens with varying graphite content (3–9% by weight), followed by comprehensive tribological assessments under dry sliding conditions. Factors including sliding distance, load, and graphite composition are systematically evaluated using Taguchi’s optimization techniques, including design of experiments, ANOVA, and regression analyses. Results reveal that the addition of 9% graphite content notably reduces both the coefficient of friction and wear rate. According to the data, sliding distance significantly impacts wear behaviour, followed by the applied load. In contrast, the composition has a 77% impact on the coefficient of friction than load, while the sliding distance has a relatively small impact. As a result, the Al7075-SiC/Graphite composite material demonstrated its suitability as a self-lubricating substance. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Silicon carbide

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Smart Cities Using Artificial Intelligence (AI) and Blockchain in the Internet of Things (IoT) Era 1st

Smart Cities Using Artificial Intelligence (AI) and Blockcha...

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1st International Conference on Smart Environment and Green Technologies, ICSEGT 2024

作者： Al-Turjman, Fadi Salama, Ramiz Sadikoglu, Gunay Artificial Intelligence Engineering Dept. AI and Robotics Institute Near East University Nicosia Mersin Turkey Research Center for AI and IoT Faculty of Engineering University of Kyrenia Kyrenia Mersin Turkey Department of Computer Engineering AI and Robotics Institute Research Center for AI and IoT Near East University Nicosia Mersin Turkey Near East University Nicosia Mersin Turkey

ISBN: (纸本)9783031815638

Around the world, modern cities are changing dramatically in order to install smart infrastructure, provide smart services to residents, improve accessibility for vulnerable populations, and provide a clean, sustainable, and secure environment. Numerous initiatives that address significant issues with urban transportation, health, water management, energy conservation, housing, safety, and accessibility are centered on the adoption of new technologies. To overcome these obstacles and enhance the resourcefulness, sustainability, and security of cities, it is imperative to embrace new and creative technologies, especially in light of the advancements in communication and sensor technology over the past few decades. This article gives a summary of the metropolitan issues that smart urban communities are now experiencing. It investigates how edge AI and blockchain, two recent technological innovations, might revolutionize urban intelligence. It also examines significant research initiatives in these two crucial areas of today’s smart cities, along with a variety of applications for edge AI and blockchain in smart energy and transportation. It discusses numerous uses of blockchain in the context of secure vehicle-to-vehicle trade and communication, along with a range of methods for processing speed detection, counting, and identification to lessen traffic congestion. The purpose of this review article is to set the stage for next research on applying blockchain technology and edge artificial intelligence to smarter city applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Sustainable city

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Design and Experimental Validation of a Worm-Like Tensegrity Robot for In-Pipe Locomotion

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Journal of Bionic engineering 2023年第2期20卷 515-529页

作者： Xiaolin Dai Yixiang Liu Wei Wang Rui Song Yibin Li Jie Zhao School of Control Science and Engineering Shandong UniversityJinan250061China Engineering Research Center of Intelligent Unmanned System of Ministry of Education Jinan250061China Shandong Research Institute of Industrial Technology Jinan250061China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150080China

Traditional rigid-body in-pipe robots usually have complex and heavy structures with limited flexibility and *** soft in-pipe robots have great improvements in flexibility,they still have manufacturing difficulties due to their reliance on high-performance soft *** structure is a kind of self-stressed spatial structure consisting discrete rigid struts connected by a continuous net of tensional flexible strings,which combines the advantages of both rigid structures and soft *** applying tensegrity structures into robotics,this paper proposes a novel worm-like tensegrity robot for moving inside ***,a robot module capable of body deformation is designed based on the concept of tensegrity and its deformation performance is ***,the optimal parameters of the module are obtained based on the tensegrity *** deformation ability of the tensegrity module is tested ***,the worm-like tensegrity robot that can crawl inside pipes is developed by connecting three modules in *** performance and load capacity are tested on the prototype of the worm-like tensegrity robot by experiments of moving in horizontal pipe,vertical pipe,and elbow *** results demonstrate the effectiveness of the proposed design and suggest that the robot has high compliance,mobility,and adaptability although with simple structure and low cost.

关键词： Bio-inspired robot Soft robot application Tensegrity structure Pipe crawling

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Make Your LLM Fully Utilize the Context 38

Make Your LLM Fully Utilize the Context

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： An, Shengnan Ma, Zexiong Lin, Zeqi Zheng, Nanning Lou, Jian-Guang Chen, Weizhu National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center of Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China Microsoft United States Peking University China

While many contemporary large language models (LLMs) can process lengthy input, they still struggle to fully utilize information within the long context, known as the lost-in-the-middle challenge. We hypothesize that it stems from insufficient explicit supervision during the long-context training, which fails to emphasize that any position in a long context can hold crucial information. Based on this intuition, our study presents INformation-INtensive (IN2) training, a purely data-driven solution to overcome lost-in-the-middle. Specifically, IN2 training leverages a synthesized long-context question-answer dataset, where the answer requires (1) fine-grained information awareness on a short segment (∼128 tokens) within a synthesized long context (4K−32K tokens), and (2) the integration and reasoning of information from two or more short segments. Through applying this information-intensive training on Mistral-7B, we present FILM-7B (FILl-in-the-Middle). To thoroughly assess the ability of FILM-7B for utilizing long contexts, we design three probing tasks that encompass various context styles (document, code, and structured-data context) and information retrieval patterns (forward, backward, and bi-directional retrieval). The probing results demonstrate that FILM-7B can robustly retrieve information from different positions in its 32K context window. Beyond these probing tasks, FILM-7B significantly improves the performance on real-world long-context tasks (e.g., 23.5→26.9 F1 score on NarrativeQA), while maintaining a comparable performance on short-context tasks (e.g., 59.3→59.2 accuracy on MMLU). © 2024 Neural information processing systems foundation. All rights reserved.

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Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration 38

Measuring Mutual Policy Divergence for Multi-Agent Sequentia...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Dou, Haowen Dang, Lujuan Luan, Zhirong Chen, Badong National Key Laboratory of Human-Machine Hybrid Augmented Intelligence China National Engineering Research Center for Visual Information and Applications China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China School of Electrical Engineering Xi'an University of Technology China

Despite the success of Multi-Agent Reinforcement Learning (MARL) algorithms in cooperative tasks, previous works, unfortunately, face challenges in heterogeneous scenarios since they simply disable parameter sharing for agent specialization. Sequential updating scheme was thus proposed, naturally diversifying agents by encouraging agents to learn from preceding ones. However, the exploration strategy in sequential scheme has not been investigated. Benefiting from updating one-by-one, agents have the access to the information from preceding agents. Thus, in this work, we propose to exploit the preceding information to enhance exploration and heterogeneity sequentially. We present Multi-Agent Divergence Policy Optimization (MADPO), equipped with mutual policy divergence maximization framework. We quantify the discrepancies between episodes to enhance exploration and between agents to heterogenize agents, termed intra-agent divergence and inter-agent divergence. To address the issue that traditional divergence measurements lack stability and directionality, we propose to employ the conditional Cauchy-Schwarz divergence to provide entropy-guided exploration incentives. Extensive experiments show that the proposed method outperforms state-of-the-art sequential updating approaches in two challenging multi-agent tasks with various heterogeneous scenarios. Source code is available at https://***/hwdou6677/MADPO. © 2024 Neural information processing systems foundation. All rights reserved.

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