2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)最新文献_第6页

Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks 用图卷积神经网络快速准确地预测固溶体合金总能量

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-96498-6_5

Massimiliano Lupo Pasini, Marko Burcul, S. Reeve, M. Eisenbach, S. Perotto

引用次数: 4

Enabling ISO Standard Languages for Complex HPC Workflows 为复杂的HPC工作流启用ISO标准语言

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-96498-6_17

M. G. Lopez, J. Hammond, J. Wells, Tom Gibbs, Timothy B. Costa

引用次数: 0

Improving the Performance of the GMRES Method using Mixed-Precision Techniques 利用混合精度技术改进GMRES方法的性能

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-11-03 DOI: 10.1007/978-3-030-63393-6_4

Neil Lindquist, P. Luszczek, J. Dongarra

引用次数: 9

Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System 基于卷积神经网络的IEEE 34总线系统电压凹陷源定位

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9283083

W. L. R. Junior, Dyogo M. Reis, F. A. S. Borges, Flávio H. D. Araújo, A. O. C. Filho, R. Rabêlo

引用次数: 0

Chaotic particle swarm optimization using a rotation transformation based on two best solutions 基于两个最优解的旋转变换混沌粒子群优化

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9283041

Nao Kinoshita, K. Tatsumi

{"title":"Chaotic particle swarm optimization using a rotation transformation based on two best solutions","authors":"Nao Kinoshita, K. Tatsumi","doi":"10.1109/SMC42975.2020.9283041","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9283041","url":null,"abstract":"In this paper, we discuss the particle swarm optimization method (PSO) for global optimization, especially, a PSO using a perturbation-based chaotic updating system called PSO-SDPC. In this method, it is easy to select appropriate parameter values for effective search, and numerical experiments showed its good search ability. However, the search of the PSO-SDPC is not rotation-invariant because the perturbation terms of the chaotic updating system are added along the coordinate system of the standard basis, and the component-wise selection from the chaotic and the standard PSO updating systems for a particle’s position deeply depends on the coordinate systemTherefore, in this paper, we improve the PSO-SDPC: the perturbations are added along a new coordinate system that is selected according to two best solutions, and all components of each particle’s position are updated by the same system, which is selected from the two updating systems. Moreover, we show that the proposed method can be regarded as the rotation-invariant and keeps a high search ability for many problems through numerical experiments.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"47 1","pages":"1135-1140"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73870470","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

Comparison of Cognitive Workload Assessment Techniques in EMG-based Prosthetic Device Studies 基于肌电图的假体装置研究中认知负荷评估技术的比较

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9283229

Junho Park, Maryam Zahabi

{"title":"Comparison of Cognitive Workload Assessment Techniques in EMG-based Prosthetic Device Studies","authors":"Junho Park, Maryam Zahabi","doi":"10.1109/SMC42975.2020.9283229","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9283229","url":null,"abstract":"Previous studies have found that electromyography (EMG)-based prosthetic devices provide higher grasping force, increase functional performance, and have greater range of motion over conventional prostheses. However, cognitive workload (CW) is still one of the issues that can negatively affect device usability and satisfaction. In order to evaluate CW of prosthetic devices early in the design cycle, it is first necessary to select the most appropriate measures. Therefore, the objectives of this study were to: (1) review the CW measurement techniques used in prior EMG-based prosthetic device evaluations; and (2) provide guidelines to select the most appropriate measurement techniques. The findings suggested that cognitive performance models (CPM), subjective measures, task performance measures, and some physiological measures were sensitive in detecting CW differences among prosthetic device configurations and therefore could be useful tools in usability evaluation of these technologies. However, in order to reduce intrusiveness and cost, methods such as subjective workload measures, task performance, and CPM are more beneficial as compared to physiological measurements. Guidelines proposed in this study can be beneficial to select the most appropriate CW measurement techniques in order to improve sensitivity and accuracy and reduce intrusiveness and cost.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"370 1","pages":"1242-1248"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74203197","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: 2

Enhancing Parallel Coordinates Visualization Using Genetic Algorithm with Smart Mutation 基于智能变异的遗传算法增强并行坐标可视化

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9282852

Khiria Aldwib, S. Rahnamayan, Amin Ibrahim

{"title":"Enhancing Parallel Coordinates Visualization Using Genetic Algorithm with Smart Mutation","authors":"Khiria Aldwib, S. Rahnamayan, Amin Ibrahim","doi":"10.1109/SMC42975.2020.9282852","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9282852","url":null,"abstract":"Visualization techniques have received a lot of attention regarding their potential to interpret and analyze the data.One of the marked visualization methods is the Parallel Coordinates Plot (PCP) utilized to high-dimensional datasets (more than three dimensions). Due to that, in visualizing large-scale datasets, the method suffers from high clutters produced from numerous intersection lines between neigh-boring axes, numbers of researchers have conducted techniques to boost PCPs. For instance, reducing the number of crossing lines by utilizing the re-ordering the neighboring axes in the PCP technique is a useful procedure to reduce the clutter. Motivated by this goal, the acquisition of the optimal coordinate’s order can be classified as a combinatorial optimization problem. However, in high-dimensional datasets, the optimization algorithm may face diﬃculty to deal with this issue. In this paper, we propose a smart mutation operator to enhance the performance of Genetic Algorithm (GA) in finding the optimal order of PCP based on diminishing the numerous intersection lines. However, any other user-desired metric can be utilized as an objective function. To assess the introduced method, we conducted a Monte Carlo simulation and several experiments to find an optimal coordinates’ order in PCP to visualize the datasets with various numbers of samples and dimensions. In the experimental results, utilizing the smart mutation represents an improvement in PCP visualization in terms of reducing the intersection lines between the neighboring coordinates compared to the original GA.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"64 1","pages":"3746-3752"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75212064","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: 1

Competencies detection approach from professional interactions 专业互动能力检测方法

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9283314

Hocine Merzouki, N. Matta, Hassan Atifi, F. Rauscher

{"title":"Competencies detection approach from professional interactions","authors":"Hocine Merzouki, N. Matta, Hassan Atifi, F. Rauscher","doi":"10.1109/SMC42975.2020.9283314","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9283314","url":null,"abstract":"The competence is one of the resources which have capital importance for organizations and even out of organizations such as social networks or crisis situations. However, competence is a widely shared concept but differently appreciated as it refers to several elements that enable effective action in a workplace or provide solutions in a problem solving environment. Several methods are used in competence seeking such those based on curriculum vitae analysis or interviews but the results are strongly oriented by the declarations of CV’s redactors and the interviewed. Added to that, actors’ competencies evolution is rarely detected in an organization. This paper presents an approach based on the analysis of interactions to find competencies. Indeed, elements of competence are sometimes exchanged during the interactions between persons dealing with problem solving or facing specific situations. Our works are focused on detecting competence from professional mediated communications. For this purpose we used the \"Ubuntu\" corpus which consists on interactions within a community of interest dealing with Ubuntu operating system issues.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"112 1","pages":"1304-1309"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75428801","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

Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure 基于香农熵和偏度信息测度的脑认知状态判别

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9283315

J. Davis, Florian Schübeler, Sungchul Ji, R. Kozma

引用次数: 3

A Real-Time Forward Collision Warning Technique Incorporating Detection and Depth Estimation Networks 结合检测和深度估计网络的实时前向碰撞预警技术

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Pub Date : 2020-10-11 DOI: 10.1109/SMC42975.2020.9283026

Huai-Mu Wang, H. Lin

引用次数: 1