WC05 Information and Networking
Time : 16:30~18:00
Room : 105
Chair : Hyo-Sung Ahn (GIST, )
16:30~16:45        WC05-1
A Big Data System Design to Predict the Vehicle Slip

Joohyoung Jeon, Woosik Lee, Hyojoo Cho, Hongchul Lee(Korea University, Korea, Republic of )

In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.
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16:45~17:00        WC05-2
Optimal internal force design for formation control of multi-agent systems

Yoichi Masuda, Kenji Nagase(Wakayama University, Japan)

This paper proposes a method for designing a control law for a distributed cooperative formation control of multi-agent systems that positively utilizes self-equilibrium conditions on the basis of the force density method. The force density method is widely used in structural mechanics, and enables us to design the equilibrium of axially loaded structures with a non-zero internal force. Numerical examples show that the proposed method suppresses the maximum eigenvalue of the tangent stiffness matrix, and decreases the control effort by introducing the non-zero internal force.
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17:00~17:15        WC05-3
Leader-follower type formation control using local displacement measurements: Velocity observer-based approach

Hyo-Sung Ahn(GIST, Korea, Republic of )

This paper presents a leader-follower type formation control in multi-agent systems using only local relative displacement measurements. For the velocity matching between the pairs of nodes, a velocity observer is utilized. By using the velocity observer, the follower can estimate the velocity of the leader in its local coordinate frame. Thus, the follower controls itself using both the measured displacements (distances and bearing angles) and the estimated velocity. Through simulations, the validity of the proposed idea is illustrated.
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17:15~17:30        WC05-4
A Mobile Robot Tracking using Kalman Filter-based Gaussian Process in Wireless Sensor Networks

Jinhong Lim, Jaehyun Yoo, Hyounjin Kim(Seoul National University, Korea, Republic of )

A Mobile Robot Tracking using Kalman Filter-based Gaussian Process in Wireless Sensor Networks Jinhong Lim, Jae Hyun Yoo and H. Jin Kim (Seoul National University, Korea) RSSI-based localization has a variety of possible applications, and the environment to obtain the required information is well-constructed in these days due to the prevalence of WiFi usage. However, it is difficult to apply this method directly to the real-world positioning, because there are several factors of uncertainty in the signal strength measurements. In this paper, it is proposed to incorporate dead-reckoning...
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17:30~17:45        WC05-5
Selection of Network Topologies at Solving Certain Class of Problems on Distributed Computer Systems

Aliya Ualievna Kalizhanova(Kazakh National Technical University after K.I.Satpaev, Kazakhstan)

Selection of Network Topologies at Solving Certain Class of Problems on Distributed Computer Systems
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17:45~18:00        WC05-6
A new text representation model enriched with semantic relations

Aliya Nugumanova, Yerzhan Baiburin, Kurmash Apaev(East Kazakhstan State Technical University, Kazakhstan)

This paper presents a new text represenation model enriched with semantic relations extracted from a co-occurence matrix of words versus documents. The contribuition of this work is that a new method of creation and transformation of the co-occurence matrix. The proposed model makes better topic prediction in text classification than the traditional bag-of-words model.
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