Published: Jan 1, 2018
Converted to Gold OA:
DOI: 10.4018/IJRAT.2018010101
Volume 6
Research Article
Tahirou Djara, Abdoul Matine Ousmane, Antoine Vianou
Emotion recognition is an important aspect of affective computing, one of whose aims is the study and development of behavioral and emotional interaction between human and machine. In this context...
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Emotion recognition is an important aspect of affective computing, one of whose aims is the study and development of behavioral and emotional interaction between human and machine. In this context, another important point concerns acquisition devices and signal processing tools which lead to an estimation of the emotional state of the user. This article presents a survey about concepts around emotion, multimodality in recognition, physiological activities and emotional induction, methods and tools for acquisition and signal processing with a focus on processing algorithm and their degree of reliability.
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MLA
Djara, Tahirou, et al. "Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal." IJRAT vol.6, no.1 2018: pp.1-20. http://doi.org/10.4018/IJRAT.2018010101
APA
Djara, T., Ousmane, A. M., & Vianou, A. (2018). Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal. International Journal of Robotics Applications and Technologies (IJRAT), 6(1), 1-20. http://doi.org/10.4018/IJRAT.2018010101
Chicago
Djara, Tahirou, Abdoul Matine Ousmane, and Antoine Vianou. "Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.1: 1-20. http://doi.org/10.4018/IJRAT.2018010101
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Published: Jan 1, 2018
Converted to Gold OA:
DOI: 10.4018/IJRAT.2018010102
Volume 6
Research Article
Larbi Guezouli, Hanane Boukhetache, Imene Kebi
Security problems and decreasing costs, leads to the rapid development of video surveillance systems. It is necessary to implement analytical tools capable of identifying objects that may appear in...
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Security problems and decreasing costs, leads to the rapid development of video surveillance systems. It is necessary to implement analytical tools capable of identifying objects that may appear in the video sequence. The work presented in this article consists of designing a video surveillance system for the automatic detection of humans in a video sequence acquired by a fixed camera. The principle of this work is based on the modeling and subtraction of the background. In order to determine the nature of the objects, the authors make the detection of the contours of the foreground image, then by matching this contour with the images of a base, silhouette images of people in different positions. The acquisition of the frames is carried out in real time, the matching of the images takes a considerable time and this time becomes increasingly longer based on the size of the base. To solve this problem, the authors have used the parallelism.
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Guezouli, Larbi, et al. "Human Detection by Surveillance Camera." IJRAT vol.6, no.1 2018: pp.21-33. http://doi.org/10.4018/IJRAT.2018010102
APA
Guezouli, L., Boukhetache, H., & Kebi, I. (2018). Human Detection by Surveillance Camera. International Journal of Robotics Applications and Technologies (IJRAT), 6(1), 21-33. http://doi.org/10.4018/IJRAT.2018010102
Chicago
Guezouli, Larbi, Hanane Boukhetache, and Imene Kebi. "Human Detection by Surveillance Camera," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.1: 21-33. http://doi.org/10.4018/IJRAT.2018010102
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Published: Jan 1, 2018
Converted to Gold OA:
DOI: 10.4018/IJRAT.2018010103
Volume 6
Research Article
Yujian Fu, Zhijiang Dong, Xudong He
A humanoid robot is inherently complex due to the heterogeneity of accessory devices and to the interactions of various interfaces, which will be exponentially increased in multiple robotics...
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A humanoid robot is inherently complex due to the heterogeneity of accessory devices and to the interactions of various interfaces, which will be exponentially increased in multiple robotics collaboration. Therefore, the design and implementation of multiple humanoid robotics (MHRs) remains a very challenging issue. It is known that formal methods provide a rigorous analysis of the complexity in both design of control and implementation of systems. This article presents an agent-based framework of formal modeling on the design of communication and control strategies of a team of autonomous robotics, to attain the specified tasks in a coordinated manner. To ensure a successful collaboration of multiple robotics, this formal agent-based framework captures behaviors in Petri Net models and specifies collaboration operations in four defined operations. To validate the framework, a non-trivial soccer bot set was implemented and simulation results were discussed.
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Fu, Yujian, et al. "Formal Modeling and Analysis of Collaborative Humanoid Robotics." IJRAT vol.6, no.1 2018: pp.34-54. http://doi.org/10.4018/IJRAT.2018010103
APA
Fu, Y., Dong, Z., & He, X. (2018). Formal Modeling and Analysis of Collaborative Humanoid Robotics. International Journal of Robotics Applications and Technologies (IJRAT), 6(1), 34-54. http://doi.org/10.4018/IJRAT.2018010103
Chicago
Fu, Yujian, Zhijiang Dong, and Xudong He. "Formal Modeling and Analysis of Collaborative Humanoid Robotics," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.1: 34-54. http://doi.org/10.4018/IJRAT.2018010103
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Published: Jul 1, 2018
Converted to Gold OA:
DOI: 10.4018/IJRAT.2018070101
Volume 6
Research Article
Ruchira Teli, Suneel Kumar Prasad
Organizations are applying digitalization to increasing amounts of different organizational processes. The procurement sector is also changing and actively seeking better ways to enhance performance...
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Organizations are applying digitalization to increasing amounts of different organizational processes. The procurement sector is also changing and actively seeking better ways to enhance performance such as the automation of workflow processes, for example, robotic process automation (RPA). To meet this clear demand, the automation of workflow processes in organizations has been a rising trend during the past few years. The author analyzes the potential of RPA along with the cognitive technologies robotic cognitive automation-based (RCA) value creation through knowledge work digitalization in the procurement sector.
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Teli, Ruchira, and Suneel Kumar Prasad. "Delivering Value in Procurement With Robotic Cognitive Automation (RCA) Services." IJRAT vol.6, no.2 2018: pp.1-11. http://doi.org/10.4018/IJRAT.2018070101
APA
Teli, R. & Prasad, S. K. (2018). Delivering Value in Procurement With Robotic Cognitive Automation (RCA) Services. International Journal of Robotics Applications and Technologies (IJRAT), 6(2), 1-11. http://doi.org/10.4018/IJRAT.2018070101
Chicago
Teli, Ruchira, and Suneel Kumar Prasad. "Delivering Value in Procurement With Robotic Cognitive Automation (RCA) Services," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.2: 1-11. http://doi.org/10.4018/IJRAT.2018070101
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Published: Jul 1, 2018
Converted to Gold OA:
DOI: 10.4018/IJRAT.2018070102
Volume 6
Research Article
Yuriy Kostyuchenko, Anna Kozlova, Dmytro Movchan, Olga Sedlerova, Maxim Yuschenko
The problem of uncertainty analysis in complex multi-component systems is considered. The problem of decision making with uncertainty in tasks modeling carbon balance and the analysis of greenhouse...
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The problem of uncertainty analysis in complex multi-component systems is considered. The problem of decision making with uncertainty in tasks modeling carbon balance and the analysis of greenhouse gas (GHG) emissions using satellite tools was considered. Approaches to decision making under uncertainty are described in terms of interval, fuzzy, and stochastic assessments. Different approaches and algorithms to calculate carbon and GHG emissions are described. For every algorithm, errors and uncertainties are analyzed and estimated. Algorithms for uncertainty analysis based on integrated interlinked models of the system are presented. Algorithms for the analysis of components of vegetation productivity assessment using satellite data are proposed. Uncertainty component analysis allows the understanding of important properties of the system studied, and its feedback as to its anthropogenic load and impact on the climate. It was demonstrated that the comprehensive analysis of uncertainties allows not only the reduction of errors, but new knowledge about the studied systems.
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Kostyuchenko, Yuriy, et al. "On the Uncertainty Control in the Complex Multiphysics Systems in the Task of Multi-Scale Stochastic GHG and Carbon Balance Modeling." IJRAT vol.6, no.2 2018: pp.12-41. http://doi.org/10.4018/IJRAT.2018070102
APA
Kostyuchenko, Y., Kozlova, A., Movchan, D., Sedlerova, O., & Yuschenko, M. (2018). On the Uncertainty Control in the Complex Multiphysics Systems in the Task of Multi-Scale Stochastic GHG and Carbon Balance Modeling. International Journal of Robotics Applications and Technologies (IJRAT), 6(2), 12-41. http://doi.org/10.4018/IJRAT.2018070102
Chicago
Kostyuchenko, Yuriy, et al. "On the Uncertainty Control in the Complex Multiphysics Systems in the Task of Multi-Scale Stochastic GHG and Carbon Balance Modeling," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.2: 12-41. http://doi.org/10.4018/IJRAT.2018070102
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Published: Jul 1, 2018
Converted to Gold OA:
DOI: 10.4018/IJRAT.2018070103
Volume 6
Research Article
Richard T Stone, Thomas Michael Schnieders, Peihan Zhong
The focus of this article is perception affects and enhancement during ground robotic tele-operation. Three independent factors were studied, namely scale perception, distance perception, and...
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The focus of this article is perception affects and enhancement during ground robotic tele-operation. Three independent factors were studied, namely scale perception, distance perception, and orientation awareness. Enhancements for each factor was proposed, implemented, and evaluated. The results show that under remote perception conditions, where the operator was separated from the environment where the navigation took place, both distance perception and scale perception were significantly impaired as compared with that obtained under direct perception conditions. In addition, for each of the proposed enhancements designed for each critical factor, the corresponding factor was significantly improved. The broader impacts of this work can be applied to various human-robot collaborated applications, such as urban search and rescue. Applying the proposed enhancements will allow the operators to have fewer failures through hallways, doorways, or maneuvering around obstacles, as well as allowing a more accurate understanding of the area's layout when a map is not available.
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MLA
Stone, Richard T., et al. "Perception Effects in Ground Robotic Tele-Operation." IJRAT vol.6, no.2 2018: pp.42-61. http://doi.org/10.4018/IJRAT.2018070103
APA
Stone, R. T., Schnieders, T. M., & Zhong, P. (2018). Perception Effects in Ground Robotic Tele-Operation. International Journal of Robotics Applications and Technologies (IJRAT), 6(2), 42-61. http://doi.org/10.4018/IJRAT.2018070103
Chicago
Stone, Richard T., Thomas Michael Schnieders, and Peihan Zhong. "Perception Effects in Ground Robotic Tele-Operation," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.2: 42-61. http://doi.org/10.4018/IJRAT.2018070103
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