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proceedings of the 7th Australasian conference on computing education - Volume 42

作者： Marilyn A. Wells Beverley D. Jones University of Western Sydney Penrith South DC NSW Sydney West International College Westmead NSW

ISBN: (纸本)9781920682248

In this paper, the authors reflect on their experiences teaching ISD using collaborative teamwork within student groups in consecutive subjects in autumn and spring semesters 2003. the authors took a mentoring role within the class structure. the lectures were informal and of a conversational nature wherein the different student groups openly discussed their progress and difficulties with their *** lecture style of conversational informal delivery coupled with collaborative teamwork enabled the students to take responsibility, individually and collectively, for the group's achievements and therefore was foundational to the students' *** is a requirement that the students participate in team meetings and actively engage each other through discussion of current topics taught within the unit. Understanding and knowledge is transferred within the group and onwards to the class in general during the supporting classroom discussions. the various groups displayed differing levels of social skills when dealing with group and project issues that arose during the learning *** paper discusses the unit content, instructional methods, assessment tools and the outcomes achieved in the different learning establishments and the students interaction within the groups and the class as a whole.

关键词： group work knowledge sharing collaboration cooperation

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Performance Benchmarking of Visual Human Tracking algorithms for UAVs 22

Performance Benchmarking of Visual Human Tracking Algorithms...

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proceedings of the 26th Pan-Hellenic conference on Informatics

作者： theofanis Kalampokas George Papakostas Vassilios Chatzis Stelios Krinidis MLV Research Group Department of Computer Science International Hellenic University Greece Department of Management Science and Technology International Hellenic University Greece

ISBN: (纸本)9781450398541

With the evolution of robotic systems, unmanned aerial vehicles (UAV) have become a target of interest for domains such as computer vision (CV) and artificial intelligence (AI), contributing to a variety of applications for surveillance, transportation and many more. A very hot topic that is the playground of the proposed benchmark is visual human tracking in images acquired by a camera mounted on a UAV. this target application troubles CV and deep learning (DL) research community in recent years and it has created serious demands for visual tracking algorithms. Some of the most important demands are high performance under hard visual tracking conditions and deployment in edge devices with limited computation resources. these two challenges are the main motivation of the presented paper, where 37 tracking algorithms have been benchmarked in visual object tracking (VOT) images. For each tracking algorithm two metric categories, relative to detection performance and hardware resources consumption, have been considered. the objective of the proposed paper is to highlight the most lightweight and high performance tracking algorithms for usage in UAV based applications.

关键词： Computer Vision UAV Visual Tracking Deep Learning Computational Resources Edge computing

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Concluding Remarks on the international Symposium on Exotic Nuclear systems ENS’05

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AIP conference proceedings 2005年第1期802卷 315-320页

作者： D. Habs LMU Munich Department f. Physik Am Coulombwall 1 D‐85748 Garching Germany Maier‐Leibnitz‐Labor f. Kern‐ und Teilchenphysik Am Coulombwall 6 D‐85748 Garching Germany

In nuclear phyiscs within Europe we observe a strong concentration onto a few large‐scale facilities like FAIR, ALICE and EURISOL, which at the same time results in a strong focus of all resources towards these facilities. My personal belief is, that we need in Europe in addition a broad network of smaller institutes with local nuclear physics for a healthy structure of our science. I propose two fields of nuclear science onto which these smaller institutes may focus: (i) Fundamental Physics, studying physics beyond the Standard Model with high precision measurements at low energies and (ii) joining Advanced Photon Science, where new high energy photon and particle beams become available in compact devices at low cost. While such networks are planned or exist already among different universities in Germany for these two subjects, I propose to extend these towards a European networks within the 7th framework. A first starting point could be associations with the German networks, funded by the German Science Foundation DFG.

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Leveraging Transformer Networks for Enhanced Conversational AI

Leveraging Transformer Networks for Enhanced Conversational ...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Vivek Behl Vimal Bibhu Department of Computer Science and Engineering Noida International University Greater Noida Uttar Pradesh India

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

this paper presents a comprehensive study on leveraging transformer networks for enhanced conversational AI, show casing their superiority over traditional models such as LSTM, GRU, and GRU BiRNN decoders. the architectural enhancement, improvement by RBF kernel and the proposed transformer model used by the OpenSubtitles 2018 dataset, contextually and legibly suitable replies generated by significant advancements. Critical developments demonstrate incomprehension of 4.58, appreciably descending from 7.568 earned by the GRU BiRNN decipherer with ELU activation, and training time diminishing substantially. the prototype’s Sparse Categorical Cross-Entropy (SCCE) training costs are Streamlined to 0.14 and 0.192, appropriately. Proved by its originality and efficacity, both acoustic-aware modes and textual modes are handled by the system effectively. there are different types of conversational AI applications, but this study indicates the potential transformer-based architectures to surpass traditional RNN-based models and clear the way for upcoming improvements concerning real-time adaptive learning, personalized user interactions, and multimodal inputs.

关键词： Training Conversational artificial intelligence Costs Voltage transformers Real-time systems Decoding Kernel Informatics Long short term memory Context modeling

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Challenges’ Strategies in Virtual Robocup Standard Platform League

Challenges’ Strategies in Virtual Robocup Standard Platform...

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Artificial Intelligence Technology (ACAIT), Asian conference on

作者： Zijian Wang Hongjiang Liu Pingchuan Chen Yinuo He Lingyun Zhu Liangjiang International College ChongQing University of Technology ChongQing China College Of Computer Science And Engineering ChongQing University of Technology ChongQing China

ISBN: (数字)9798350359145

ISBN: (纸本)9798350359152

the RoboCup, an international competition, necessitated an innovative approach in 2022 due to its transition to an online format in China, prompted by an epidemic. this shift demanded the development of more specialized algorithms for the competition. In response to this, we devised a unique algorithm for each challenge. For Challenge 1, we implemented a streamlined greedy algorithm, which rounded the target points to minimize the total time expenditure. In Challenge 2, we adopted an automated obstacle avoidance strategy. For Challenge 3, we calculated the kick angle in real-time to enhance the synergy between the two robots, employing the Sector-angle method to select the optimal shot or pass angle. Our algorithm showed excellent results in the competition, ranking first in the country. In the practical test, our cumulative scores for the three challenges remained consistent at 163.18, 33.65, and 4.8, significantly improving from the pre-optimization scores of 196.2, 51.78, and 3.5, respectively. this indicates the precise and reliable nature of our algorithms. In particular, the sector angle method was notably influential in Challenge 3, swiftly calculating the ideal angle with exceptional accuracy. Before improvements, the algorithm in this project only managed to score 3.5, which was substantially improved post-optimization. Moving forward, these algorithms can be further optimized and adapted to meet the demands of future scenarios.

关键词： Heuristic algorithms Robot sensing systems Real-time systems Reliability Collision avoidance Time complexity Optimization

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Impact of Machine Learning on Applying the Best Worst Method for Social Sustainability in Manufacturing Supply Chains

Impact of Machine Learning on Applying the Best Worst Method...

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international conference on Circuit, Power and computing Technologies (ICCPCT)

作者： Kottala Sri Yogi Dankan Gowda V Atul Kumar Sahu Madan Mohanrao Jagtap Ved Srinivas Ibrahim Abdullah Department of Operations Symbiosis Institute of Business Management Hyderabad Symbiosis International University Pune India Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka Department of Industrial and Production Engineering School of Studies in Engineering & Technology Guru Ghasidas Vishwavidyalaya (A Central University) Koni Bilaspur Chattisgarh India Department of Operations Management Symbiosis Institute of Operations Management Nashik Campus Constituent of Symbiosis International (Deemed University) Pune Maharashtra India Department of Human Resources Thiagarajar School of Management Madurai Tamil Nadu India Department of Computer Science Al-Turath University College Baghdad Iraq

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

this research is carried out merging ML with BWM to intensify decision making in manufacturing supply chain using social sustainability under light. As companies become more focused on environmental sustainability, the capability of machine learning to effectively assess and prioritize sustainability criteria should be highly valued. through a team of domain experts, the research clearly identifies the most vital social sustainability factors and, afterwards, deploys ML algorithms to analyze and optimize the provided decision-making framework by BWM. the selected approach gives possibility to dynamic weighting of the criteria which is based on real-time data. this way we are able to come up with the more precise and effective sustainability strategies. the results show that the hybrid ML-BWM model is not only an effective tool to enhance the validity and accuracy of evaluations but also one that provides the prudent directions that help the manufacturing sector shape its choice and responses. this paper analyzes the possible outcome of the integration of AI and traditional approach to decision-making process on social aspects of sustainability within supply chain.

关键词： Adaptation models Supply chain management Shape Supply chains Decision making Machine learning Real-time systems

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2010年 6407 LNCS卷 V-VI页

作者： Xie, Bing Branke, Juergen Sadjadi, S. Masoud Zhang, Daqing Zhou, Xingshe Peking University Software Institute YiHeYuan Road 5 Haidian District Beijing 100871 China University of Warwick Warwick Business School Coventry CV4 7AL United Kingdom Florida International University School of Computing and Information Sciences 11200 SW 8th St. Miami FL 33199 United States Institute TELECOM SudParis Telecommunication Network and Services Dept. 9 rue Charles Fourier 91011 Evry Cedex France Northwestern Polytechnical University School of Computer Science Xi'an 710072 China

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Message from Safethings 2023 Chairs: 7th ACM/IEEE Workshop on the Internet of Safe things (Safethings 2023)

ACM International Conference Proceeding Series

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ACM international conference Proceeding Series 2023年 IX页

作者： Celik, Z. Berkay Zonouz, Saman Tian, Dave Tian, Yuan Purdue University United States Georgia Institute of Technology United States University of California Los Angeles United States

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IEEE international SYMPOSIUM ON CIRCUITS AND systems, proceedings, 1974.

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1974年

作者： Symp

this publication contains 149 complete papers, 15 abstracts or summaries of papers, and titles only of others. the conference papers were presented in 18 regular and 10 special sessions covering such topics as: digital, channel-bank, and active RC filters;controlled, and low-sensitivity active filters;synthesis of nonlinear and of active networks;multivariable networks;distributed networks;integrated subsystems;network topology and graph theory;approximation, computation and modeling;network and system theory and analysis;consumer electronics;computer-aided analysis, design and simulation;layout and wiring of large-scale circuits;communication circuits;discrete circuits. the 149 complete papers are indexed separately.

关键词： Electric networks

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thermal-mechanical creep and fracture crack growth of a near-αtitanium alloy

Thermal-mechanical creep and fracture crack growth of a near...

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international conference on Airworthiness ＆ Fatigue-7th ICSAELS Series conference

作者： K.K.Tang Key Laboratory of Pressure Systems and Safety Ministry of EducationSchool of Mechanical and Power Engineering.East China University of Science and Technology

A multiscale fatigue crack growth model is used to analyze the thermal-mechanical effects in a near-αTitanium alloy material under the non-additive effects of creep and cyclic *** effects are necessarily coupled when thermodynamic non-equilibrium and material non-homogeneity are accounted for since scale transition is the rule rather than the *** has been demonstrated for the micro-macro creep and fatigue crack growth in steel under thermal-mechanical *** normalized generic parameters are used to reflect the loading,material and *** are time dependent and referred to asσ（=σ/σ）,μ(=μ/μ)and d（=d/d）.All physical properties change with time. Depicted is a near-αtitanium alloy TA12（Ti-5.5A1-4Sn-2Zr-1Mo-0.25Si-1Nd） that is used for airplane engine operating around to 550℃.A time span of 10 years and flying time of 60000 hours are used in the computation with a temperature profile that rises from 300℃to 550℃and then decrease to 300℃.Symmetry is advocated for simplicity. Under these conditions,an initial crack 2.6mm long became unstable after 7.5 yrs,while a shorter crack 2.2mm long lasted 9.4 *** results are preliminary and they will alter according to the temperature profile and the cyclic ***,crack growth may not be limited to the micro-macro *** crack sizes may be involved during the initial stage where creep may *** and other possible cases will be examined in the future.

关键词： multiscale thermal creep and fatigue crack growth Micro/Macro

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