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Emergence of Robust Cooperative States by Iterative Internalizations of Opponents’ Personalized Values in Minority Game Emergence of Robust Cooperative States by Iterative Internalizations of Opponents’ Personalized Values in Minority Game $15.00

Takashi Sato

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National Institute of Technology, Okinawa College

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Vol. 3, Issue 5

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157-166

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29-12-2017

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Abstract: Adolescence is a period in which individuals begin facing some challenging choices. Through these choices, and social interactions with peers, adolescent individuals develop their "personalized values" that are the foundations of  their actions. It is known that the adolescent brains have high plasticity, and that the adolescent brains change dynamically, other than that of an adult brain. This study discusses the type of behavior that emerges from adolescents, as well as adult individuals with elevated plasticities. To realize this, we adopt the minority game (MG), which is one of the tasks concerning the choice described above. We implement Elman-nets with different learning rates that express different degrees of the plasticity as the player models in the MG. Our simulation results showed that it is a possibility that robust cooperative states emerge by iteratively internalizing the opponent players' personalized values among players that have a network of reference relationship, irrespective of their varying degrees of plasticity.
A Sanshin Musical Performance Assistive Device for People with Physical Disabilities of the Extremities A Sanshin Musical Performance Assistive Device for People with Physical Disabilities of the Extremities $15.00

Satone Yamashiro, Hideyuki Uehara and Hiroki Higa

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Ryukyu University

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Vol. 3, Issue 5

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152-156

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29-12-2017

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Abstract: This paper describes a sanshin musical performance assistive device for people with physical disabilities of the extremities. Sanshin is an Okinawan three-stringed musical instrument. We had developed portable assistive devices to press strings against board of sanshin and its controllers. In the experiments, some participants played the sanshin using the assistive devices. It was found from the experimental results that two persons with muscular dystrophies could appropriately performed music using the sanshins with the previous assistive devices, and that two able-bodied persons could smoothly and steadily play the sanshins using the improved assistive device with the photoelectric sensor-based controller
TDOA based Geolocation using IRLS Algorithm TDOA based Geolocation using IRLS Algorithm $15.00

Kyunghyun Lee, Hyungkwan Kwon and Kwanho You

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Sungkyunkwan University, Korea

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Vol. 3, Issue 5

Volume and Issue can't be empty

148-151

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29-12-2017

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Abstract: The geolocation method using the wireless signal processing system is widely used in many industrial areas. The time difference of arrival (TDOA) method is one of the most commonly used geolocation methods. The TDOA signal based geolocation system can estimate the position of a mobile object by using at least three base stations in two dimensional spaces. In geolocation problem, the precise estimation of mobile’s position is the most significant issue.The measurement noise that is contained in measured TDOA data causes the estimation inaccuracy in a mobile  geolocation. In this paper, the objective function that represents the scalar error of position estimation is formulated using the concept of p Lp -norm approximation. Also, we suggest the iterative reweighted least square (IRLS) scheme for minimizing of the objective function. The optimal solution can be obtained using the limited measurement data through the reweighted iteration process of the IRLS scheme. Keywords: Geolocation; Time difference of arrival; Iterated reweighted least square; Obtimization method
Analyzing the Advantages of Utilizing State Representations in a Probabilistic Reversal Learning Task Analyzing the Advantages of Utilizing State Representations in a Probabilistic Reversal Learning Task $15.00

Akira Masumi and Takashi Sato

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National Institute of Technology, Okinawa College, Japan

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Vol.3, Issue 5

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142-147

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29-12-2017

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Abstract: Cognitive flexibility is the ability to adaptively change behaviors in the face of dynamically changing circumstances. To explore the neural basis and computational account of this ability, a probabilistic reversal learning task was employed as the experimental paradigm. Recent studies suggest that a subject may utilize not only a reward history but also a “state representation” of a task to successfully solve one. However, the specific advantages or impact of state representations in task solving are still not fully understood. In this study, we investigated this matter by computer simulations, in which we used two types of reinforcement learning models, a model with state representations and one without. As a result of the simulations, we found that state representations make a learning agent robust against an increasingly difficult task, especially when the number of sampling time in each state is reduced. Based on the results, we propose a hypothesis for the acquisition process of state representations and discuss the experimental design to test it.
Developing A Simplified Maintenance & Rehabilitation Activity Prioritization Tool for Afghanistan Roads Developing A Simplified Maintenance & Rehabilitation Activity Prioritization Tool for Afghanistan Roads $15.00

Fardeen Nodrat and Dongshik Kang

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Ryukyu University

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Vol. 3, Issue 5

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136-141

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29-12-2017

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Abstract: Roads are one of the most important factor of life, and maintenance & rehabilitation of them are very vital and challenging for a country. Afghanistan is one of those countries which face the challenges of low-budget, computerized office works and skilled personnel. Regarding to budget limitation pavement maintenance and rehabilitation activity prioritization is obligatory. Currently, a technology based, and simplified maintenance activity prioritization tool are an essential need of the country. The aim of this research is to develop a tool which prioritize the maintenance and rehabilitation activities by considering some factors such as pavement condition index, road width, traffic volume, residential importance as well as maintenance and rehabilitation cost. Since characterizing a model that presents each one of those variables was difficult, a simplified model named TOPSIS was denoted for the issue of prioritization. TOPSIS model lets you have a more precise ranking for the outcome. Considering the problem, Visual Basic have the ability to easily code any type of model and present a graphical display of the model. A source code was developed and Visual Basic was used for computations coding, graphical display of results and generating reports. The developed model indicates that more than two criteria/weighs are very important for prioritizing the alternatives/activities. The developed tool can prioritize the maintenance and rehabilitation ac…
A Comparative Study on the Performances of Q-Learning and Neural Q-Learning Agents toward Analysis of Emergency of Communication A Comparative Study on the Performances of Q-Learning and Neural Q-Learning Agents toward Analysis of Emergency of Communication $15.00

Takashi Sato and Fumiko Shirasaki

The Author field can not be Empty

National Institute of Technology, Okinawa College

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Vol.3, Issue 5

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128-135

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29-12-2017

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Abstract: In this paper, we suppose the gesture theory that is one theory on the origin of language, which tries to establish that speech originated from gestures. Based on the theory,  we assume that “actions” having some purposes can be used as “symbols” in the communication through a learning process. The purpose of this study is to clarify what abilities of agents and what conditions are necessary to acquire usages of the actions as the symbols. To investigate them, we adopt a collision avoidance game and compare the performances of Q-learning agents with that of Neural Q-learning agents. In our simulation, we found that the Neural Q-learning agent’s ability to reach the goal place is higher than the Q-learning agent’s one. In contrast, the Neural Q-learning agent’s ability to avoid collisions is lower than the Q-learning agent’s one. If the inconsistencies in the learning data sets of the Neural Q-learning agent, however, can be resolved, the agent has enough potential to improve its ability for collision avoidance. Therefore, we conclude that the most suitable agent to analyze the emergence of communication is the Neural Q-learning agent who changed a feed forward type neural network into a recurrent type neural network that can resolve the inconsistencies in the learning data sets.
A Comparative Study on the Performances of Q-Learning and Neural  Q-Learning Agents toward Analysis of Emergence of Communication A Comparative Study on the Performances of Q-Learning and Neural Q-Learning Agents toward Analysis of Emergence of Communication $15.00

Takashi Sato and Fumiko Shirasaki

The Author field can not be Empty

The Institution field can't be Empty

Volume 2 Issue 4

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128-135

The Page Numbers field can't be Empty

10-12-2016

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Abstract: In this paper, we suppose the gesture theory that is one theory on the origin of language, which tries to establish that speech originated from gestures. Based on the theory, we assume that “actions” having some purposes can be used as “symbols” in the communication through a learning process. The purpose of this study is to clarify what abilities of agents and what conditions are necessary to acquire usages of the actions as the symbols. To investigate them, we adopt a collision avoidance game and compare the performances of Q-learning agents with that of Neural Q-learning agents. In our simulation, we found that the Neural Q-learning agent’s ability to reach the goal place is higher than the Q-learning agent’s one. In contrast, the Neural Q-learning agent’s ability to avoid collisions is lower than the Q-learning agent’s one. If the inconsistencies in the learning data sets of the Neural Q-learning agent, however, can be resolved, the agent has enough potential to improve its ability for collision avoidance. Therefore, we conclude that the most suitable agent to analyze the emergence of communication is the Neural Q-learning agent who changed a feed forward type neural network into a recurrent type neural network that can resolve the inconsistencies in the learning data sets. Keywords: Q-learning, Neural Q-learning, Collision Avoidance Game, Reinforcement Learning Agents, Multi-Agent System.
Compensation of Image Distortion on an Arbitrary Surface Compensation of Image Distortion on an Arbitrary Surface $15.00

Junhee Park, Wookyung Sun, Byungho Oh and Sejung Yang

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Vol 2. Iss. 3

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125 - 127

The Page Numbers field can't be Empty

22-04-2016

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Abstract: When images are projected on an arbitrary surface, people expect to see distortion-free images. Therefore, we need to compensate for the geometric distortion on the camera image plane. To generate a geometric compensated image, we employ feature matching between a projector image and a camera image for comparing the position. In this paper, we propose a feature matching method using sequential binary point patterns without the projector and synchronized camera. We verify the proposed compensation method by experiments on the arbitrary surface. Keywords: Image distortion compensation, binary pattern, arbitrary surface
Design and Implementation of a Life Test System for the Train Driver Controller Design and Implementation of a Life Test System for the Train Driver Controller $15.00

Huailin Zhao, Bizhen Yuan, Yunxiang Liu and Jihong Zhu

The Author field can not be Empty

School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China & School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China & Department of Computer Science and Technology, Tsinghua University, Beijing, China

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Volume 2 Issue 2

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119 - 124

The Page Numbers field can't be Empty

25-02-2016

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Abstract: The train driver controller is a main electric appliance for the train speed controlling and braking. Its reliability relates directly with the driving safety. The existing life-span test system of the train driver controller can only detect the mechanical life-span. A new life-span test system is developed which can detect not only the mechanical life-span, but also the life-span of the electrical components such as the internal cam contacts, potentiometers and so on. The new system is based on Labview. The modular design is applied and the system reliability is improved. Taking advantage ofLabview, it realizes more precious timing. The master-slave mode is applied to the network architecture of the system so as to test on multiple train driver controllers at the same time. Therefore the testing cost is reduced. The experiments show that the new life-span test system is an efficient workable platform which improves the productivity, reliability and maintainability of the train driver controller. Keywords: Train driver controller; Life-span test system; Modular design; Time division multipiexing
Design of an Intelligent Housekeeping Robot Based on IOT Design of an Intelligent Housekeeping Robot Based on IOT $15.00

Huailin Zhao, Shunzhou Wang, Yunxiang Liu and Xuyao Hao

The Author field can not be Empty

School of Electrical and Electronic Eng., Shanghai Institute of Technology, Shanghai, China & School of Computer Science and Information Eng., Shanghai Institute of Technology, Shanghai, China

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Volume 2 Issue 2

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114 - 118

The Page Numbers field can't be Empty

25-02-2016

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Abstract: This project has developed an IOT based indoor mobile robot, which is used for the housekeeping service and called as “smart housekeeper”. The robot is equipped with the crawler chassis structure and the head lifting machinery. It applies Cortex-M4 as the main controller, and communicates with the outer by WiFi. A smart mobile phone is used as its head. People can operate the robot remotely by another smart mobile phone at any time. It can realize remote video searching, home appliance control, and indoor security. The experiment shows that it works well with all the functions. Keywords: Housekeeping Robot; WiFi; Home Appliances Control; Video Transmission; Gas detection
The Application of a Driving Circuit Based on 1ED020I12-FTA in PMSM The Application of a Driving Circuit Based on 1ED020I12-FTA in PMSM $15.00

Huailin Zhao, Shanli Jin, Yunxiang Liu and Jihong Zhu

The Author field can not be Empty

School of Electrical and Electronic Eng., Shanghai Institute of Technology, Shanghai, China & School of Computer Science and Information Eng., Shanghai Institute of Technology, Shanghai, China & Department of Computer Science and Technology, Tsinghua University, Beijing, China

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Volume 2 Issue 2

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110 - 113

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25-02-2016

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Abstract: A new driving circuit based on the IGBT driving chip 1ED020I12-FTA is designed to drive the controller of the high power brushless DC motor in this article. The article has introduced overall design, the driving circuit and the experiments. The experiment results show that the driving circuit is able to drive PMSM motor very well, and it works well with good anti-disturbance, desaturation, electromagnetic isolation, overcurrent and overvoltage protection, Miller active clamp, and so on. Keywords: high power driving; H bridge circuit; DC motor; pulse width modulation
Application of A* Algorithm and Its Optimization Method Application of A* Algorithm and Its Optimization Method $15.00

Yun-Xiang Liu, Jie Du, Hao Wang and Lu Jia

The Author field can not be Empty

School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China

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Volume 2 Issue 2

Volume and Issue can't be empty

106 - 109

The Page Numbers field can't be Empty

25-02-2016

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Abstract: Nowadays, the traffic congestion is becoming more and more serious. It is urgent to find a path planning algorithm with high efficiency. As a heuristic algorithm, A* algorithm can solve the problem of path planning with high efficiency, and the design of heuristic function is particularly important. By analyzing the problems of route planning, some improvements have been made in this paper: firstly, the evaluation function with two elements of distance and direction are considered; through the process of normalization, the problem of unified unit has been solved; secondly, use the smallest heap spatial to load the node information dynamically, and reduce the memory usage space. Keywords: Heuristic algorithm, A* algorithm, cost function, smallest heap
Novel Design of a Wheelchair with Stair Climbing Capabilities Novel Design of a Wheelchair with Stair Climbing Capabilities $15.00

Basilio Dobras Castillo, Yen-Fu Kuo and Jui-Jen Chou

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Volume 2 Issue 2

Volume and Issue can't be empty

99 - 105

The Page Numbers field can't be Empty

25-02-2016

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Abstract: Stair climbing wheelchairs were created to help disabled people overcome one of the most common architectural barrier, stairs. Many types of devices have been developed using tracked, leg, leg-wheel and hybrid wheels to climb stairs but they are expensive, thus, out of the reach of the neediest. This paper presents a stair climbing wheelchair with four “X”-shaped wheel that uses its legs to climb and descend stairs. This mechanism maintains contact with the stairs during climbing activity to perform better at the climbing task. The seat of the wheelchair provides 1 DOF so that the inclination angle can be changed in order to correct the position of the center of gravity to be close to the center of the supporting polygon. An inertial measurement unit (IMU) sensor is used to detect the angle of the seat in relation to the ground and by using a motor utilizing PID control, automatically balance the seat in the horizontal position. In order to climb stairs smoothly, the angular position of the wheels should be the same, thus a PD control was implemented to control the position of the wheel so that they will be synchronized, therefore, capable of performing the climbing task at the same time and at the same position. Simulation and experimental results demonstrate the effectiveness of this mechanism and wheelchair. Keywords: Disabled; stair; stairclimber; wheel-leg mechanism; wheelchair;
Control and Communication of a Multi-motor System based on LAN Control and Communication of a Multi-motor System based on LAN $15.00

Huailin Zhao, Suxiao Wang, Yunxiang Liu and Jihong Zhu

The Author field can not be Empty

School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China & School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China & Department of Computer Science and Technology, Tsinghua University, Beijing, China

The Institution field can't be Empty

Volume 2 Issue 2

Volume and Issue can't be empty

94 - 98

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25-02-2016

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Abstract: This paper establishes a multi-motor control system based on the local area network. It introduces the control strategy and the master-slave network structure. It analyzes both the advantage and disadvantage of the traditional communication modes RS-422 and CAN. And based on the analysis, the paper puts forward a full-duplex communication method which combines the advantages of both RS-422 and CAN to achieve the network control for the multi-motor system. Keywords: multi motor; master-slave network structure; LAN control; full duplex bus communication
Emergence of Proto-Communication using Action Primitives Symbolized in Recurrent Q-Learning Agents Emergence of Proto-Communication using Action Primitives Symbolized in Recurrent Q-Learning Agents $15.00

Takashi Sato

The Author field can not be Empty

The Institution field can't be Empty

Volume 2 Issue 2

Volume and Issue can't be empty

87 - 93

The Page Numbers field can't be Empty

25-02-2016

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Abstract: In this paper, we suppose the gesture theory that is one of the theories on the origin of language, which tries to establish that the speech originated from gestures. Based on the theory, we assume that “actions” having some purposes can be used as “symbols” in the communication through a learning process. The purpose of this study is to clarify what abilities of agents are necessary to acquire usages of the actions as the symbols. To achieve the purpose, we adopt a collision avoidance game and recurrent Q-learning (RQL) agents as the game players. Our simulations showed that the RQL agents can emerge a proto-communication to avoid collision with opponent by using visual information that the opponent turns its own eye away from the agent through the learning process. Further, we found that the RQL agents also obtain a rotational behavior to avoid collision by expanding the maximum number of learning iteration. Keywords: Collision Avoidance Game; Emergence of Proto-Communication; Neural Q-Learning (NQL) Agents; Recurrent Q-Learning (RQL) Agents; Symbolization of Action Primitives

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