Azusa HARA’s research while affiliated with Nagoya University and other places

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Publications (5)


J1230104 Escape Route Determination in Traffic Network by Genetic Algorithm
  • Article

September 2015

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6 Reads

The Proceedings of Mechanical Engineering Congress Japan

Eisuke KITA

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Azusa HARA

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Hiroki SAKAMOTO

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Tatsuhiro TAMAKI

When the earthquake occurs, the vehicles near shore should move to inland quickly. The algorithm to determine the effective escape route for vehicles is presented in this study. The traffic amount is maximized by changing the escape route of vehicles. Tobishima pier at the port of Nagoya is considered as the object domain under consideration. At the different vehicle density, the escape route is determined. The results show that the present algorithm can find the adequate route.


Traffic Network Design for Disaster Evacuation by Cellular Automata Simulation

February 2015

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11 Reads

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3 Citations

When the earthquake occurs, many people have to leave the coast as soon as possible for avoiding Tsunami. The traffic network is not designed well for such situation. The traffic network design is performed by using the traffic simulation based on the cellular automata model. Tobishima pier at the port of Nagoya is considered as the object under consideration. The maximization of the traffic amount and the minimization of the mean traveling time are considered as the design objectives. The profile of optimized traffic network depends on the design objective. In case of the first design objective, the traffic amount increases by 1.3%. In case of the second design objective, the mean traveling time decreases by 29%. Therefore, it is concluded that the present algorithm can determine the improved profile of the traffic network.


1406 Study on Personal Authentication by Kinect Sensor

September 2014

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24 Reads

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1 Citation

The Proceedings of Design & Systems Conference

Importance of personal authentication increases according to the progress of advanced information society and web service. This paper describes the personal authentication by using Kinect sensor. Feature quantities of the human face and the human voice are obtained through the Kinect sensor. Personal authentication is performed with the machine learning algorithms with the feature quantities. The neural network, support vector machine and Bayesian network are compared in the experimental results. The results show that the neural network is the most promising.


3108 Facial Recognition System by Using Kinect

October 2013

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8 Reads

The Proceedings of Design & Systems Conference

Fumiya SAITO

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Xuanang FENG

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Azusa HARA

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[...]

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Eisuke KITA

According to progress of information society, the importance of personal authentication is growing by leaps and bounds. Because it dose not require a specific act or behavior, facial recognition is the focus of attention than other biometric identifications. The purpose of this reserch is method of extracting feature values of a human face by using Kinect sensor that is relatively inexpensive compared to the other depth cameras. And examine Kinect sensor whether the effective device for facial recognition system. In this paper,compared Neural Network, Support Vector Machine, Bayesian Network as a decision algorithm of the individual. From experimental results using still images of 10 subjects, relevance ratio of Neural Network showed the highest rate 95.6%,and considered the this method and the results.


2506 Smart control of automatic door through NUI

October 2013

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15 Reads

The Proceedings of Design & Systems Conference

The purpose of this research is to develop an automatic door system, which can provide intelligent opening and closing operations. The automatic door is not opened when a pedestrian just passes by the door. In order to judge the intention of the pedestrian whether he wants to pass through the door, we detect the pedestrian's skeleton data, joint orientation, and 3D coordinates by using Kinect sensor. In this paper, we analyze the behavior of pedestrians from the extracted features, and propose a method what can calculate width of pedestrian and the appropriate timing of opening operation for only whom determining to pass through the door.

Citations (1)


... Besides the usage of a CA in a single road environment, it is also used for city networks. For example, in a paper written by Kita et al. [30], the authors analyse evacuation of a Nagoya port in Japan, which is often endangered by earthquakes and Tsunami. Researchers wanted to increase traffic throughput during an emergency and succeeded, using simulation, to improve travel time by almost 29% by traffic network optimisation (i.e. ...

Reference:

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms
Traffic Network Design for Disaster Evacuation by Cellular Automata Simulation
  • Citing Article
  • February 2015