Pub Date : 2021-01-01DOI: 10.1007/978-3-030-96498-6_5
Massimiliano Lupo Pasini, Marko Burcul, S. Reeve, M. Eisenbach, S. Perotto
{"title":"Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks","authors":"Massimiliano Lupo Pasini, Marko Burcul, S. Reeve, M. Eisenbach, S. Perotto","doi":"10.1007/978-3-030-96498-6_5","DOIUrl":"https://doi.org/10.1007/978-3-030-96498-6_5","url":null,"abstract":"","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"1 1","pages":"79-98"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88862735","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}
Pub Date : 2021-01-01DOI: 10.1007/978-3-030-96498-6_17
M. G. Lopez, J. Hammond, J. Wells, Tom Gibbs, Timothy B. Costa
{"title":"Enabling ISO Standard Languages for Complex HPC Workflows","authors":"M. G. Lopez, J. Hammond, J. Wells, Tom Gibbs, Timothy B. Costa","doi":"10.1007/978-3-030-96498-6_17","DOIUrl":"https://doi.org/10.1007/978-3-030-96498-6_17","url":null,"abstract":"","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"14 1","pages":"301-309"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80877951","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}
Pub Date : 2020-11-03DOI: 10.1007/978-3-030-63393-6_4
Neil Lindquist, P. Luszczek, J. Dongarra
{"title":"Improving the Performance of the GMRES Method using Mixed-Precision Techniques","authors":"Neil Lindquist, P. Luszczek, J. Dongarra","doi":"10.1007/978-3-030-63393-6_4","DOIUrl":"https://doi.org/10.1007/978-3-030-63393-6_4","url":null,"abstract":"","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"34 1","pages":"51-66"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80750834","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}
Pub Date : 2020-10-11DOI: 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
The increased demand for electricity has caused several problems for traditional electrical power systems, such as voltage fluctuations and interruptions in supply. These events, power quality disturbances, cause several losses for both the concessionaire and its consumers, either by damaging appliances or interrupting their operation. Among these power quality disturbances, the voltage sag stands out for being the most frequent event, causing several losses. Therefore, it is extremely important to locate the source of these disturbances in the electrical distribution system, in order to mitigate the problem. In general, methods for locating disturbances use few electrical meters and an analysis of the characteristics of voltage and current signals, which results in the estimation of a large region as a result. This paper proposes a approach to find not a region, but the bus in the power distribution system in which the voltage sag disorder originated by using a model of deep learning.
{"title":"Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System","authors":"W. L. R. Junior, Dyogo M. Reis, F. A. S. Borges, Flávio H. D. Araújo, A. O. C. Filho, R. Rabêlo","doi":"10.1109/SMC42975.2020.9283083","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9283083","url":null,"abstract":"The increased demand for electricity has caused several problems for traditional electrical power systems, such as voltage fluctuations and interruptions in supply. These events, power quality disturbances, cause several losses for both the concessionaire and its consumers, either by damaging appliances or interrupting their operation. Among these power quality disturbances, the voltage sag stands out for being the most frequent event, causing several losses. Therefore, it is extremely important to locate the source of these disturbances in the electrical distribution system, in order to mitigate the problem. In general, methods for locating disturbances use few electrical meters and an analysis of the characteristics of voltage and current signals, which results in the estimation of a large region as a result. This paper proposes a approach to find not a region, but the bus in the power distribution system in which the voltage sag disorder originated by using a model of deep learning.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"34 1","pages":"2836-2841"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73511549","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}
Pub Date : 2020-10-11DOI: 10.1109/SMC42975.2020.9283041
Nao Kinoshita, K. Tatsumi
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.
{"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}
Pub Date : 2020-10-11DOI: 10.1109/SMC42975.2020.9283229
Junho Park, Maryam Zahabi
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.
{"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}
Pub Date : 2020-10-11DOI: 10.1109/SMC42975.2020.9282852
Khiria Aldwib, S. Rahnamayan, Amin Ibrahim
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.
{"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}
Pub Date : 2020-10-11DOI: 10.1109/SMC42975.2020.9283314
Hocine Merzouki, N. Matta, Hassan Atifi, F. Rauscher
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.
{"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}
Pub Date : 2020-10-11DOI: 10.1109/SMC42975.2020.9283315
J. Davis, Florian Schübeler, Sungchul Ji, R. Kozma
Non-invasive brain imaging techniques are popular tools for monitoring the cognitive state of human participants. This work builds on our previous studies using the HydroCel Geodesic Sensor Net, 256 electrodes dense-array electro-encephalography (EEG). The studies analyze dominant frequencies of temporal power spectral densities for each of the EEG electrodes. The experiments involve three modalities: Meditation, Math Mind, and (c) Open Eyes condition. Here we perform an analysis of the Shannon entropy index and Pearson’s skewness coefficient in order to test their fitness to classify different brain states. The results help to develop a comprehensive methodology to understand brain dynamics.
{"title":"Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure","authors":"J. Davis, Florian Schübeler, Sungchul Ji, R. Kozma","doi":"10.1109/SMC42975.2020.9283315","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9283315","url":null,"abstract":"Non-invasive brain imaging techniques are popular tools for monitoring the cognitive state of human participants. This work builds on our previous studies using the HydroCel Geodesic Sensor Net, 256 electrodes dense-array electro-encephalography (EEG). The studies analyze dominant frequencies of temporal power spectral densities for each of the EEG electrodes. The experiments involve three modalities: Meditation, Math Mind, and (c) Open Eyes condition. Here we perform an analysis of the Shannon entropy index and Pearson’s skewness coefficient in order to test their fitness to classify different brain states. The results help to develop a comprehensive methodology to understand brain dynamics.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"2 1","pages":"4026-4031"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74928718","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}
Pub Date : 2020-10-11DOI: 10.1109/SMC42975.2020.9283026
Huai-Mu Wang, H. Lin
The visual perception is of great significance for advanced driving assistance systems or autonomous driving vehicles to recognize the surrounding scenes. In the adaptation to the real environments for collision warnings, a sensor system should be efficient and has the strong ability to detect small objects. This paper presents a forward collision warning technique which incorporates the object detection and depth estimation networks. A deep convolutional neural network is constructed with transfer connection blocks for object detection and classification. It is capable of small object detection under the real-time processing requirement. For depth estimation, a monocular based disparity estimation network is adopted to the stereo vision framework. The epipolar constraint is applied to increase the prediction accuracy. In the experiments, the performance evaluation is carried out on public driving datasets. The comparison with the state-of-the-art networks has demonstrated the feasibility of the proposed technique.
{"title":"A Real-Time Forward Collision Warning Technique Incorporating Detection and Depth Estimation Networks","authors":"Huai-Mu Wang, H. Lin","doi":"10.1109/SMC42975.2020.9283026","DOIUrl":"https://doi.org/10.1109/SMC42975.2020.9283026","url":null,"abstract":"The visual perception is of great significance for advanced driving assistance systems or autonomous driving vehicles to recognize the surrounding scenes. In the adaptation to the real environments for collision warnings, a sensor system should be efficient and has the strong ability to detect small objects. This paper presents a forward collision warning technique which incorporates the object detection and depth estimation networks. A deep convolutional neural network is constructed with transfer connection blocks for object detection and classification. It is capable of small object detection under the real-time processing requirement. For depth estimation, a monocular based disparity estimation network is adopted to the stereo vision framework. The epipolar constraint is applied to increase the prediction accuracy. In the experiments, the performance evaluation is carried out on public driving datasets. The comparison with the state-of-the-art networks has demonstrated the feasibility of the proposed technique.","PeriodicalId":6718,"journal":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","volume":"26 1","pages":"1966-1971"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74930912","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}
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