IEEE Systems, Man, and Cybernetics Magazine最新文献_第2页

Defense and Industry Sovereign Capability: IDEaS 2023 [Conference Reports] 国防和工业主权能力：IDEaS 2023 [会议报告］

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-04-01 DOI: 10.1109/msmc.2023.3344368

Saeid Nahavandi

引用次数: 0

Multiplayer Online Battle Arena Games: Attractive Matchmaking via Group Role Assignment 多人在线竞技场游戏：通过团体角色分配进行有吸引力的匹配

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-04-01 DOI: 10.1109/MSMC.2024.3353175

Zeyu Li, Haibin Zhu, Dongning Liu

引用次数: 0

A Community Detection Method to Counter the Semantic Noise of Complex Networks: Bridging a Topology and Semantic Subspace Transformation 应对复杂网络语义噪音的社群检测方法：拓扑与语义子空间转换的桥梁

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-04-01 DOI: 10.1109/MSMC.2023.3236163

Ying Li, Yong-Hong Tang, Junwei Cheng, Chaobo He, Feiyi Tang

{"title":"A Community Detection Method to Counter the Semantic Noise of Complex Networks: Bridging a Topology and Semantic Subspace Transformation","authors":"Ying Li, Yong-Hong Tang, Junwei Cheng, Chaobo He, Feiyi Tang","doi":"10.1109/MSMC.2023.3236163","DOIUrl":"https://doi.org/10.1109/MSMC.2023.3236163","url":null,"abstract":"Community detection of complex networks helps understand the network’s composition and explores the behavior characteristics among users. The methods based on nonnegative matrix factorization (NMF) for community detection have been widely studied and applied because of their flexibility and high interpretability. Nevertheless, accompanied by ideal assumptions, classic community detection methods face the following problems. First, they lead to a mismatch between communities, i.e., topology and semantic information. Second, they cannot overcome the effect of macroscopic semantic noise on methods. Finally, they cannot retain the nodes’ distance information in the high-dimensional topology space. Aiming at the these problems, this article proposes a community detection method with self-perception ability that solves the problem of macro semantic noise. The aforementioned issues are overcome by introducing the subspace transfer module and the generalized Laplacian self-perception module. We understand the network factors that affect the model’s performance through empirical observation. Extensive experiments on six representative methods on several benchmark datasets support our conclusion and demonstrate that our method outperforms the representative methods in many datasets.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"291 1","pages":"2-14"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140780394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Value-Based Reinforcement Learning for Selective Disassembly Sequence Optimization Problems: Demonstrating and Comparing a Proposed Model 针对选择性拆卸序列优化问题的基于价值的强化学习：演示和比较一个拟议模型

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-04-01 DOI: 10.1109/MSMC.2023.3303615

Shujin Qin, Zhiliang Bi, Jiacun Wang, Shixin Liu, Xiwang Guo, Ziyan Zhao, Liang Qi

{"title":"Value-Based Reinforcement Learning for Selective Disassembly Sequence Optimization Problems: Demonstrating and Comparing a Proposed Model","authors":"Shujin Qin, Zhiliang Bi, Jiacun Wang, Shixin Liu, Xiwang Guo, Ziyan Zhao, Liang Qi","doi":"10.1109/MSMC.2023.3303615","DOIUrl":"https://doi.org/10.1109/MSMC.2023.3303615","url":null,"abstract":"Selective optimal disassembly sequencing (SODS) is a methodology for the disassembly of waste products. Mathematically, it is an optimization problem. However, in the existing research, the connection between the optimization algorithms and the established model is limited to some specific processes, and their generality is poor. Due to the unique characteristics of each disassembly product, most disassembly sequences require modification and even reconstruction of the mathematical model. In this article, reinforcement learning (RL) is used to produce a single-item selective disassembly sequence based on the AND/OR graph. First, the AND/OR graph is mapped to a value matrix and represents the precedence relationship between the component and the values of the component itself. Second, on the basis of the established mathematical model and graph, value-based RL is used to solve the selective disassembly sequencing problem. Finally, the experimental results of the genetic algorithm (GA), Sarsa, Deep Q-learning (DQN), and CPLEX are compared to verify the correctness of the proposed model and the effectiveness of the RL algorithm.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"311 22","pages":"24-31"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140776421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Search Box System to Improve User Interaction in Knowledge Graph Searches: A Solution for Users Without Expert Skills 改善知识图谱搜索中用户互动的搜索框系统：针对无专家技能用户的解决方案

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MSMC.2023.3304489

Jorge Yagüe París, Jordán Pascual Espada, Jaime Solís Martínez, R. G. Crespo

{"title":"Search Box System to Improve User Interaction in Knowledge Graph Searches: A Solution for Users Without Expert Skills","authors":"Jorge Yagüe París, Jordán Pascual Espada, Jaime Solís Martínez, R. G. Crespo","doi":"10.1109/MSMC.2023.3304489","DOIUrl":"https://doi.org/10.1109/MSMC.2023.3304489","url":null,"abstract":"Knowledge graphs enable semantic search in a variety of information systems. Some collaborative and public ones have existed for more than a decade. That is the case of Wikidata, one of the most popular knowledge bases today. It contains a graph of entities that has been growing since 2012 to host more than 94 million items. Currently, the exploration of data in Wikidata is a tedious task, especially for inexperienced users: it requires users to go deep into entities and perform a large number of clicks and searches of property names. Our goal is to allow nonexpert users who want to enter new data in Wikidata to be able to examine its ontologies in an agile way so that they can know whether a particular statement is present in the graph. To this end, we propose a new search box for Wikidata, which allows an exploratory search based on chained entities without having to navigate through pages. It is based on the real-time classification of the information that the user enters in the search box and the dynamic generation of suggestions based on the exploration of entities and relationships. A quantitative analysis is performed comparing how many iterations a user needs to perform a set of popular searches with our proposal and standard Wikidata search. The results suggest that interaction can be reduced by about 43%.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"8 5","pages":"53-61"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning Variable Impedance Control for Robotic Massage With Deep Reinforcement Learning: A Novel Learning Framework 利用深度强化学习学习机器人按摩的可变阻抗控制：新颖的学习框架

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MSMC.2022.3231416

Zhuoran Li, Chao Zeng, Zhen Deng, Qinling Xu, Bingwei He, Jianwei Zhang

{"title":"Learning Variable Impedance Control for Robotic Massage With Deep Reinforcement Learning: A Novel Learning Framework","authors":"Zhuoran Li, Chao Zeng, Zhen Deng, Qinling Xu, Bingwei He, Jianwei Zhang","doi":"10.1109/MSMC.2022.3231416","DOIUrl":"https://doi.org/10.1109/MSMC.2022.3231416","url":null,"abstract":"Contact-rich manipulation tasks are difficult to program to be performed by robots. Traditional compliance control methods, such as impedance control, rely excessively on environmental models and are ineffective in the face of increasingly complex contact tasks. Reinforcement learning (RL) has now achieved great success in the fields of games and robotics. Autonomous learning of manipulation skills can empower robots with autonomous decision-making capabilities. To this end, this work introduces a novel learning framework that combines deep RL (DRL) and variable impedance control (VIC) to achieve robotic massage tasks. A skill policy is learned in joint space, which outputs the desired impedance gain and angle for each joint. To address the limitations of the sparse reward of DRL, an intrinsic curiosity module (ICM) was designed, which generates the intrinsic reward to encourage robots to explore more effectively. Simulation and real experiments were performed to verify the effectiveness of the proposed method. Our experiments demonstrate that contact-rich massage skills can be learned through the VIC–DRL framework based on the joint space in a simulation environment, and that the ICM can improve learning efficiency and overall performance in the task. Moreover, the generated policies have been demonstrated to still perform effectively on a real-world robot.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"48 4","pages":"17-27"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving Relay Task Allocation of Unmanned Aerial Vehicles: A Solution Using Group Multirole Assignment 解决无人驾驶飞行器的中继任务分配问题：使用群组多任务分配的解决方案

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MSMC.2023.3323778

Anling Lao, Haibin Zhu, Dongning Liu

{"title":"Solving Relay Task Allocation of Unmanned Aerial Vehicles: A Solution Using Group Multirole Assignment","authors":"Anling Lao, Haibin Zhu, Dongning Liu","doi":"10.1109/MSMC.2023.3323778","DOIUrl":"https://doi.org/10.1109/MSMC.2023.3323778","url":null,"abstract":"When multiple unmanned aerial vehicles (UAVs) perform tasks collaboratively, a relay dispatching method has a beneficial effect on the continuity of the task execution; i.e., the UAVs can take off and land using shared base stations. However, an increase of the number of demands and base stations can lead to a rapid increase of the number of involved UAVs. Such conditions may cause frequent conflicts when assigning dispatching base stations according to their stocks and capacity. For this concern, this article formalizes the relay task allocation problem of multiple UAVs (RTAPMU) based on group multirole assignment (GMRA), which is a submodel of E-CARGO, i.e., the general model of role-based collaboration (RBC). Through the revised GMRA model, we linearly constrain the capacity and dynamic inventory of the base station to ensure that there are sufficient UAVs to perform the mission. The proposed method is verified by simulation experiments on real-world problems. Since GMRA is a hard optimization model, the results show that the proposed method can obtain the global optimal solution of a one-day relay task assignment in 6.97 s. Furthermore, large-scale random experiments show that the proposed method is practicable and reasonable.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"11 5","pages":"41-52"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State-of-the-Art Elderly Service Robot: Environmental Perception, Compliance Control, Intention Recognition, and Research Challenges 先进的老年服务机器人：环境感知、服从控制、意图识别和研究挑战

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MSMC.2023.3238855

Xiaofeng Liu, Congyu Huang, Haoran Zhu, Ziyang Wang, Jie Li, Angelo Cangelosi

{"title":"State-of-the-Art Elderly Service Robot: Environmental Perception, Compliance Control, Intention Recognition, and Research Challenges","authors":"Xiaofeng Liu, Congyu Huang, Haoran Zhu, Ziyang Wang, Jie Li, Angelo Cangelosi","doi":"10.1109/MSMC.2023.3238855","DOIUrl":"https://doi.org/10.1109/MSMC.2023.3238855","url":null,"abstract":"This article surveys the literature on environmental perception, compliance control, and intention recognition for elderly service robots. Population aging is an inevitable trend in current society, leading to an urgent need for service robots. A high-performance collaborative robot should be able to construct an environment of harmonious and effective human–robot symbiosis. This survey starts with an overview of the environment perception system (e.g., environment 3D reconstruction and object location) for elderly service robots, as environment perception is the basis of human–robot interaction. Furthermore, we report various learning methods deployed in compliance control, which opens the way for the generalization of robots. In this case, we structure our review into three primary domains delimited by learning processes. The article also presents several aspects focusing on processing multimodal signals (e.g., vision, speech, and electromyograms) related to intention recognition. Finally, we briefly discuss several challenges that robots need to overcome to reach interactive performance comparable to humans.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"347 5","pages":"2-16"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DALBFog: Deadline-Aware and Load-Balanced Task Scheduling for the Internet of Things in Fog Computing DALBFog：面向雾计算中物联网的死线感知和负载平衡任务调度

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MSMC.2023.3316790

Muhammad Ibrahim, Y. Lee, Do-Hyuen Kim

引用次数: 0

Flexible Skin Electrodes Based on Conductive Hydrogel for Hand Electromyography Sensing and Gesture Recognition: Exploring Conductivity and Mechanical Properties 基于导电水凝胶的柔性皮肤电极，用于手部肌电图传感和手势识别：探索导电性和机械特性

IEEE Systems, Man, and Cybernetics Magazine Pub Date : 2024-01-01 DOI: 10.1109/MSMC.2022.3233708

Shumi Zhao, Liwen Xie, Yang Song, Yan Tang, Zhijun Li, Peng Shi, Cheng Chen, Jianwei Liu

{"title":"Flexible Skin Electrodes Based on Conductive Hydrogel for Hand Electromyography Sensing and Gesture Recognition: Exploring Conductivity and Mechanical Properties","authors":"Shumi Zhao, Liwen Xie, Yang Song, Yan Tang, Zhijun Li, Peng Shi, Cheng Chen, Jianwei Liu","doi":"10.1109/MSMC.2022.3233708","DOIUrl":"https://doi.org/10.1109/MSMC.2022.3233708","url":null,"abstract":"Robots want to collaborate with humans or mimic human actions, needing various flexible sensors. Flexible skin electrodes are used as human–robot interfaces (HRIs), providing an opportunity for sensing interactions between robot and user. However, traditional electrodes with low skin adhesion prevent their applications in human-assisted robots, especially sweat on the skin surface, resulting in them slipping and even falling off. Thus, sodium casein (SC) is used for improving polyacrylamide (PAAM) hydrogel to fabricate PAAM-SC-conductive hydrogel with excellent conductivity and mechanical properties. The strong interaction of PAAM-SC improves its adhesion, which has an elongation at a break of roughly 3,000%. Additionally, it exhibits extremely low resistance (< 5kΩ), which can be used for electromyography (EMG) sensing. Herein, flexible skin electrodes with four-layer structures are designed. To fabricate flexible skin electrodes for hand gesture recognition, a 3D printer is employed to pattern high-performance Ag wires with structurally soft and stretchable filamentary serpentines to connect an external circuit and the PAAM-SC-conductive hydrogel. Based on the Transformer network model analysis, the classification results in cross validation are more than 85%. Notably, the PAAM-SC hydrogel as a strain sensor attached to a robotic finger can quickly respond to robotic finger movements. We might anticipate that our strategy will improve the harmonized integration between flexible electronics and human skin for smart HRIs, and when a corobot is equipped with the PAAM-SC-conductive hydrogel, the robots can interact and collaborate with humans seamlessly through active perception and matching.","PeriodicalId":516814,"journal":{"name":"IEEE Systems, Man, and Cybernetics Magazine","volume":"18 2","pages":"28-40"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0