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arXiv 2024年

作者： Meser, Moritz Bhatt, Aditya Belousov, Boris Peters, Jan Intelligent Autonomous Systems Lab Department of Computer Science TU Darmstadt Germany Germany Centre for Cognitive Science Technical University of Darmstadt Germany Darmstadt Germany

We tackle the recently introduced benchmark for whole-body humanoid control HumanoidBench [9] using MuJoCo MPC [6]. We find that sparse reward functions of HumanoidBench yield undesirable and unrealistic behaviors when optimized;therefore, we propose a set of regularization terms that stabilize the robot behavior across tasks. Current evaluations on a subset of tasks demonstrate that our proposed reward function allows achieving the highest HumanoidBench scores while maintaining realistic posture and smooth control signals. Our code is publicly available and will become a part of MuJoCo MPC5, enabling rapid prototyping of robot behaviors. Copyright © 2024, The Authors. All rights reserved.

关键词： Anthropomorphic robots

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A Structure-Aware Argument Encoder for Literature Discourse Analysis 29

A Structure-Aware Argument Encoder for Literature Discourse ...

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29th International Conference on Computational Linguistics, COLING 2022

作者： Li, Yinzi Chen, Wei Wei, Zhongyu Huang, Yujun Wang, Chujun Wang, Siyuan Zhang, Qi Huang, Xuanjing Wu, Libo School of Data Science Fudan University China Research Institute of Intelligent Complex Systems Fudan University China Department of Environmental Science and Engineering Fudan University China School of Computer Science Fudan University China

Existing research for argument representation learning mainly treats tokens in the sentence equally and ignores the implied structure information of argumentative context. In this paper, we propose to separate tokens into two groups, namely framing tokens and topic ones, to capture structural information of arguments. In addition, we consider high-level structure by incorporating paragraph-level position information. A novel structure-aware argument encoder is proposed for literature discourse analysis. Experimental results on both a self-constructed corpus and a public corpus show the effectiveness of our model. Resources are available at https://***/lemuria-wchen/SAE. © 2022 Proceedings - International Conference on Computational Linguistics, COLING. All rights reserved.

关键词： Signal encoding

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Accurate Parameter Estimation for PMSMs using Electrical and Mechanical Models Considering Temperature Effect and Inverter Distortion

Accurate Parameter Estimation for PMSMs using Electrical and...

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2022 Chinese Automation Congress, CAC 2022

作者： Tong, Zhe Meng, Bo Ding, Beichen Feng, Guodong Lai, Chunyan Sun Yat-sen University School of Intelligent Systems Engineering Shenzhen China Sun Yat-sen University School of Intelligent Systems Engineering Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology Guangzhou510006 China Concordia University Department of Electrical and Computer Engineering Montreal Canada

ISBN: (纸本)9781665465335

This paper presents a decoupled parameter estimation method for PMSM considering temperature rise and inverter distortion. Both electrical and mechanical models are explored to derive the estimation model to achieve better parameter estimation accuracy. Specifically, the proposed approach firstly performs the initial estimation of the PM flux, winding resistance and friction coefficient by considering the temperature effect, and then derives the decoupled model for inductance estimation using both the electrical and mechanical measurements. Compared with other approaches, our decoupled approach employs the mechanical model and considers the temperature effect, which can make the parameter identification more accurate. The experiment is performed on a test PMSM to verify the estimation performance of the proposed approach. © 2022 IEEE.

关键词： Parameter estimation

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Fuzzy Approach for the Temporary Logistics Hubs' Selection Planning in Disaster Region 11

Fuzzy Approach for the Temporary Logistics Hubs' Selection P...

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11th IEEE International Conference on intelligent systems, IS 2022

作者： Sirbiladze, Gia Kacprzyk, Janusz Lozano, Jose Antonio Ghvaberidze, Bezhan Midodashvili, Bidzina Matsaberidze, Bidzina Iv. Javakhishvili Tbilsi State University Department of Computer Sciences Tbilisi Georgia Intelligent Systems Laboratory Systems Research Institute Polish Academy of Sciences Warsaw Poland University of the Basque Country Department of Computer Science and Artificial Intelligence Donostia-San Sebastian Spain

ISBN: (纸本)9781665456562

Two-stage fuzzy methodology for the optimal planning of selection of temporary logistics hubs (TLHs) is developed. At the first stage, a q-rung orthopair fuzzy TOPSIS approach is developed to form and present expert knowledge about opening temporary logistics hubs. Fuzzy TOPSIS-based approach allows to determine the order of opening of TLHs and to provide post-disaster decision-making. At the second stage, by help of the built fuzzy TOPSIS aggregation a new objective function is given. By use of the built criterion TLHs' total identification level of the order of establishment can be maximized, and together with the criterion concerning minimization of the selected TLHs' quantity, poses a multi-objective facility location set covering problem. The offered approach is demonstrated by the example of temporary logistics y. The analysis of the results obtained revealed the importance of taking into account the opinions of multiple decision-makers for ensuring coordination in service delivery in disaster region. © 2022 IEEE.

关键词： Multiobjective optimization

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Random Forest Based QSAR Model Analysis for Predicting Drug Effectiveness Against Mycobacterium Tuberculosis Bacteria

Random Forest Based QSAR Model Analysis for Predicting Drug ...

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International Conference on ICT For Smart Society (ICISS)

作者： Alicia Josephine Ekosputri Amanda Ardianti Maria Susan Anggreainy Brychan Artanto Nora Fitriawati Fanny Angelia Valentina Vincent Kartamulya Santoso Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350389654

ISBN: (纸本)9798350389661

This research focuses on the use of machine learning methods, especially Random Forest, in designing tuberculosis drugs more effectively and efficiently. The research process begins with the creation of a QSAR (Quantitative Structure-Activity Relationship) model using a dataset from ChEMBL that includes compounds with activity against Mycobacterium tuberculosis. This model aims to predict the pIC50 value, which is an indicator of a compound's biological activity as a tuberculosis drug. The results of the Random Forest model showed high accuracy, which is 92%. This accuracy indicates that the model has a good ability in predicting the effectiveness of compounds against Mycobacterium tuberculosis. With this result, the developed model can be used as an auxiliary tool in the discovery of tuberculosis drugs and can be further developed to increase the effectiveness in drug research.

关键词： Drugs Accuracy Tuberculosis Biological system modeling Linear regression Predictive models Compounds Reliability Random forests Overfitting

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Evaluating Usability as a Key Human Factor in Agile SPM Tools Through Expert-Based Techniques

Evaluating Usability as a Key Human Factor in Agile SPM Tool...

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IEEE/ACM International Conference on Automated Software Engineering - Workshops (ASE Workshops)

作者： Esra’a Alshabeeb Haifa Alshammare Noor Alakkas Mohammad Alshayeb Information and Computer Science Department KFUPM Department of Computer Science Imam Abdulrahman Bin Faisal University Dhahran Saudi Arabia Information and Computer Science Department KFUPM Department of Computer Science Digital Technical College for Girls Technical and Vocational Training Corporation Dhahran Saudi Arabia Information and Computer Science Department KFUPM Department of Computer Science Department of Computer Science Imam Abdulrahman Bin Faisal University Dhahran Saudi Arabia Information and Computer Science Department KFUPM Department of Computer Science Interdisciplinary Research Center for Intelligent Secure Systems Dhahran Saudi Arabia

ISBN: (数字)9798400712494

ISBN: (纸本)9798331523169

Despite the importance of adopting SPM tools for supporting agile practices and the significance of usability as an essential component of human factors engineering, their usability evaluation was neglected in the literature. This study aims to identify the common usability issues in SPM tools and propose suggestions for enhancing their usability. Two of the most widely used SPM tools were selected as a case study for this study, namely Jira and Pivotal Tracker. Three independent evaluators participated in the usability evaluation, using two human factors techniques: Heuristic Evaluation and Cognitive Walkthrough. The results revealed a total frequency of 123 issues in both tools. Both tools had a nearly equal frequency of issues in each evaluation method but different severity levels. Learnability issues were the issues that were raised the most in the evaluation for both tools. Most of the issues had minor to major severity, with the following percentages of total issues: 41.33% and 46.67%, respectively, while only 13.33% were catastrophic. Considering the proposed solutions by designers and developers for this type of tool can help enhance the design of SPM tools, leading to increased user satisfaction and tool *** CONCEPTS• Human-centered computing → Heuristic evaluations; Walk-through evaluations; Usability testing.

关键词： Human computer interaction Ergonomics Conferences Project management Human factors Software Usability Testing Software engineering

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Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights

arXiv

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arXiv 2022年

作者： Sicilia, Anthony Maidment, Tristan Healy, Pat Alikhani, Malihe Intelligent Systems Program University of Pittsburgh Pittsburgh United States Department of Informatics and Networked Systems University of Pittsburgh Pittsburgh United States Department of Computer Science and Intelligent Systems Program University of Pittsburgh Pittsburgh United States

Investigating cooperativity of interlocutors is central in studying pragmatics of dialogue. Models of conversation that only assume cooperative agents fail to explain the dynamics of strategic conversations. Thus, we investigate the ability of agents to identify non-cooperative interlocutors while completing a concurrent visual-dialogue task. Within this novel setting, we study the optimality of communication strategies for achieving this multi-task objective. We use the tools of learning theory to develop a theoretical model for identifying non-cooperative interlocutors and apply this theory to analyze different communication strategies. We also introduce a corpus of non-cooperative conversations about images in the GuessWhat?! dataset proposed by De Vries et al. (2017). We use reinforcement learning to implement multiple communication strategies in this context and find empirical results validate our theory. © 2022, CC BY.

关键词： Reinforcement learning

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Velocity-History-Based Soft Actor-Critic: Tackling IROS’24 Competition "AI Olympics with RealAIGym"

arXiv

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arXiv 2024年

作者： Faust, Tim Lukas Maraqten, Habib Aghadavoodi, Erfan Belousov, Boris Peters, Jan Intelligent Autonomous Systems Lab Department of Computer Science TU Darmstadt Germany Germany Centre for Cognitive Science Technical University of Darmstadt Germany Darmstadt Germany

The "AI Olympics with RealAIGym" competition challenges participants to stabilize chaotic underactuated dynamical systems with advanced control algorithms. In this paper, we present a novel solution submitted to IROS’24 competition, which builds upon Soft Actor-Critic (SAC), a popular model-free entropy-regularized Reinforcement Learning (RL) algorithm. We add a ‘context’ vector to the state, which encodes the immediate history via a Convolutional Neural Network (CNN) to counteract the unmodeled effects on the real system. Our method achieves high performance scores and competitive robustness scores on both tracks of the competition: Pendubot and Acrobot. © 2024, CC BY.

关键词： Convolutional neural networks

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Literature Review: Analysis of Essential Metadata Attributes of Digital Goods for Transaction in The Virtual World

Literature Review: Analysis of Essential Metadata Attributes...

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International Conference on Information Management and Technology (ICIMTech)

作者： Gede Indra Raditya Martha Harjanto Prabowo Ford Lumban Gaol Richard Wiputra Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

In online-based virtual worlds such as Metaverse, Online Games, and other online digital spaces, the virtual/digital goods (digital items / digital assets) are fundamental things that must be available to be able to do business & create an economy in the virtual world through monetization & transactions from these digital goods. This research focuses on summarizing and exploring the attributes used in digital goods in the virtual world by extracting attributes in digital goods from other related studies using the Systematic Literature Review methodology & PRISMA Framework comprehensively so that it can be a reference for developers in designing the properties and functions of digital goods in the virtual world that are being developed, which in this case will be in the form of an NFT in the future. Based on research that has been carried out, 3 essential metadata attributes have the most influence on transactions, number 1 Visual Design / Aesthetic (Representative), number 2 Effect (Utilities), and number 3 Statistics / Performance (Utilities) which must be considered in developing/making digital goods in the form of NFTs in the virtual world so that the value of digital goods can attract users to buy or transact them in the virtual world.

关键词： Visualization Metaverse Buildings Games Metadata Information management Business

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Discipline, Impact, And Challenges Of Virtual Reality In Higher Education: A Systematic Literature Review 7

Discipline, Impact, And Challenges Of Virtual Reality In Hig...

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7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Sunardi Hidayanto, Achmad Nizar Meyliana Prabowo, Harjanto BINUS Online Learning Bina Nusantara University Computer Science Department BINUS Graduate Program - Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Universitas Indonesia Faculty of Computer Science Depok16424 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia BINUS Business School Doctor of Research in Management Bina Nusantara University Management Department Jakarta11480 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

Virtual Reality (VR) has received attention since the trend of the Metaverse came after the pandemic era. Several studies look into how Virtual Reality can be used in higher education. because all the research comes from the education field. However, previous research is too narrow in using technology, but not the area, impact, and challenges of Virtual Reality itself. Therefore, the systematic literature review (SLR) from 2016 to 2022 is discussed in this work to research how discipline, impact, and challenges of Virtual Reality in Higher Education. From 702 papers retrieved, and 214 candidates, to determine the applicability of the study question, 62 papers were chosen. The result shows that most discipline areas are still in computer science, followed by education and public health. Most reports said Virtual Reality is still highly impacted in solving the problem, especially in public health and education. However, there are still some pitfalls: the challenge of using The Head Mounted Device makes Virtual Reality-Induced symptoms and effects (VRISEs) such as Cyber sickness, simulator sickness, Motion sickness, dizziness, and physical discomfort. The implication of the SLR will be considered for academic purposes in preparing for the Metaverse era, especially in higher education. © 2022 IEEE.

关键词： Virtual reality

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