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Computational negotiation-based edge analytics for smart objects
Bui, Khac-Hoai Nam,Jung, Jason J. Elsevier science 2019 Information sciences Vol.480 No.-
<P><B>Abstract</B></P> <P>In this paper, we propose a computational negotiation approach on Internet of Things (IoT) system where distributed edge devices can make their own decisions for smart applications. Particularly, Artificial Intelligence (AI) techniques play an important role of edge analytics in order to adaptively improve the performance of IoT systems. In this regard, we apply several AI techniques to provide negotiation models (e.g., synchronization, competition, and cooperation) among connected objects for edge analytics. Moreover, in the context of smart city, two typical use cases on IoT applications have been presented to evaluate our proposed approach. They are <I>i</I>) smart traffic control and <I>ii</I>) smart home energy management system.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A distributed framework for communication and collaboration among connected objects is presented in this paper which can be applied for many critical issues. </LI> <LI> We apply computational negotiation models for connected objects which are expected to be an important issue for edge intelligence. </LI> <LI> We take two emergent IoT use cases for smart cities to evaluate the performances of our approach. </LI> </UL> </P>
Cooperative game-theoretic approach to traffic flow optimization for multiple intersections
Nam Bui, Khac-Hoai,Jung, Jason J. Elsevier 2018 Computers & electrical engineering Vol.71 No.-
<P><B>Abstract</B></P> <P>In this study, we focus on optimizing traffic flow at multiple intersections. Particularly, with the development of Internet of Things, intersection controllers are regarded as smart agents which can communicate and coordinate with each other. In this regard, a cooperative game theoretic approach among agents is proposed to improve traffic flow with large network. Thereby, a distributed merge and split algorithm for coalition formation is presented. This algorithm is applied to find out how to incorporate with the cooperation among agents for dynamically controlling traffic light at intersections. Furthermore, we construct a traffic simulation framework to evaluate our approach. With various parameters for traffic density, our proposed system can effectively improve traffic flow in both uniform and non-uniform. In particular, by coordinating among controllers, the waiting time of vehicles at intersections can be reduced from 15% to 25% comparing with previous methods (e.g., Green Wave Coordination).</P>
Bui, Khac-Hoai Nam,Jung, Jason J. Elsevier 2018 Journal of parallel and distributed computing Vol.116 No.-
<P><B>Abstract</B></P> <P>This study focuses on the distributed traffic control system by inspiration of advanced connected vehicle technology. In this regard, we introduce an Internet of Agents (IoA) framework for connected vehicles where agents make their own decisions to improve the effectiveness of the system by connectivity and automatic negotiation with other agents. Specifically, each of the connected vehicles can be regarded as an agent which is able to communicate and collaborate with others based on Vehicle-to-Vehicle (V2V) communication technologies. A case study on distributed traffic control system without traffic signal is presented in this paper. In particular, we consider traffic control at intersection problem as a group mutual exclusion problem where only connected vehicles in non-conflict relationship are able to enter the core of intersection simultaneously. Therefore, we extend the Ricart–Agrawala based-logical clock algorithm to deal with this problem. Various parameters (e.g., number of message exchange, average waiting time, total number of vehicle passing) have been measured to evaluate our approach. The simulated results show that our approach outperforms compared with existing traffic systems and previous works.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A new concept “Internet of Agents” is proposed to support agent collaboration on IoT environments. </LI> <LI> We introduce a novel framework for traffic control without traffic signal systems that are not required for self-driving cars. </LI> <LI> As a case study, the proposed method has been applied to distributed traffic control. </LI> </UL> </P>
Chemical Constituents of the Morinda tomentosa Leaves and their α-Glucosidase Inhibitory Activity
Vu, Huong Giang,Ninh, Khac Ban,Nguyen, Xuan Nhiem,Phan, Van Kiem,Chau Van, Minh,Hoang, Le Tuan Anh,Pham, Hai Yen,Bui, Huu Tai,Nguyen, Xuan Cuong,Nguyen, Hoai Nam,Kim, Seung Hyun,Kwon, Young-In,Kim, Yo Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.5