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10 results on '"Kuan, Yoke Kong"'

1. Excess of Social Behavior Reduces the Capacity to Respond to Perturbations

Author

Mateo, David, Kuan, Yoke Kong, and Bouffanais, Roland

Subjects
Nonlinear Sciences - Adaptation and Self-Organizing Systems
Abstract

Social interaction increases significantly the performance of a wide range of cooperative systems. However, evidence that natural swarms limit the number of social connections suggests potentially detrimental consequences of excessive social activity. Using a canonical model of collective motion, we find that the responsiveness of a swarm to local perturbations is reduced when the social interaction exceeds a certain threshold. We uncover a similar effect for two distinct collective decision-making models of distributed consensus operating over a range of static networks. While increasing the amount of interaction always increases the capacity of these systems to adapt to slow changes, an excess of social behavior can hinder the swiftness of their response to fast perturbations. These results have far-reaching implications for the design of artificial swarms or interaction networks.

Published
2015

3. Distributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies

Author

Massachusetts Institute of Technology. Department of Mechanical Engineering, Zoss, Brandon Michael, Mateo, David, Kuan, Yoke Kong, Tokic, Grgur, Chamanbaz, Mohammadreza, Goh, Louis, Vallegra, Francesco, Bouffanais, Roland, Yue, Dick K. P., Massachusetts Institute of Technology. Department of Mechanical Engineering, Zoss, Brandon Michael, Mateo, David, Kuan, Yoke Kong, Tokic, Grgur, Chamanbaz, Mohammadreza, Goh, Louis, Vallegra, Francesco, Bouffanais, Roland, and Yue, Dick K. P.

Abstract

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. The design, construction, and testing of a large distributed system of novel, small, low-cost, autonomous surface vehicles in the form of self-propelled buoys capable of operating in open waters is reported. We detail the successful testing of collective behaviors of systems with up to 50 buoys, achieving scalable deployment and dynamic monitoring in unstructured environments. This constitutes the largest distributed multi-robot system of its kind reported to date. We confirm the robustness of the system to the loss of multiple units for different collective behaviors such as flocking, navigation, and area coverage. For dynamic area monitoring, we introduce a new metric to quantify coverage effectiveness. Our system exhibits near optimal scalability for fixed target areas and a high degree of flexibility when the shape of the target changes with time. This system demonstrates the potential of distributed multi-robot systems for the pervasive and persistent monitoring of coastal and inland water environments.

Published
2022

4. Distributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies

Author

Zoss, Brandon M, Mateo, David, Kuan, Yoke Kong, Tokić, Grgur, Chamanbaz, Mohammadreza, Goh, Louis, Vallegra, Francesco, Bouffanais, Roland, Yue, Dick KP, Zoss, Brandon M, Mateo, David, Kuan, Yoke Kong, Tokić, Grgur, Chamanbaz, Mohammadreza, Goh, Louis, Vallegra, Francesco, Bouffanais, Roland, and Yue, Dick KP

Abstract

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. The design, construction, and testing of a large distributed system of novel, small, low-cost, autonomous surface vehicles in the form of self-propelled buoys capable of operating in open waters is reported. We detail the successful testing of collective behaviors of systems with up to 50 buoys, achieving scalable deployment and dynamic monitoring in unstructured environments. This constitutes the largest distributed multi-robot system of its kind reported to date. We confirm the robustness of the system to the loss of multiple units for different collective behaviors such as flocking, navigation, and area coverage. For dynamic area monitoring, we introduce a new metric to quantify coverage effectiveness. Our system exhibits near optimal scalability for fixed target areas and a high degree of flexibility when the shape of the target changes with time. This system demonstrates the potential of distributed multi-robot systems for the pervasive and persistent monitoring of coastal and inland water environments.

Published
2021

6. An Overview of Design Cognition between Experts and Novices

Author

Hashina Parveen, Kuan Yoke Kong, Jitendra K. Behera, Ganeshkumar Rajasekaran, Kevin Otto, Huang Zhixiang, Katja H.-Otto, James Tan Jun Yuan, and Roozbeh Sanaei

Subjects
education.field_of_study, Computer science, Management science, Design engineer, Population, ComputingMilieux_COMPUTERSANDEDUCATION, Mathematics education, Cognition, Design science research, Design cognition, education, Test (assessment)
Abstract

Experimental studies in design are often done using novice design engineers such as students as test subjects. In this paper, we attempt to determine differences in cognition skills between expert and novice design engineers, in order to determine the utility and validity of using students as experimental test subjects in design science research. A classification is developed based on a literature review. It is found that the cognitive strategies, processes and representations are noticeably dissimilar between experts and novices. Given these observations, data collected using student samples can only be cautiously generalized to the larger design engineer population.

Published
2014
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