Kentaro Tsudaka

Power control routing for multi hop wireless ad-hoc network

A wireless adhoc network consists of mobile nodes that may move often. The mobility of nodes results in a change in routes, requiring some mechanism for determining new routes. A number of routing protocols have already been proposed for wireless Ad-hoc networks. In these conventional protocols, transmission power of each node is kept constant This paper proposes an approach to control transmission power to improve the performance of routing protocols. By controlling power, the proposed Power Control Routing (PCR) improves the network capacity and power consumption. Simulation experiments show that PCR has high network capacity and low power consumption.

Disaster Detection by Statistics and SVM for Emergency Rescue Evacuation Support System

The authors have proposed the Emergency Rescue Evacuation Support System (ERESS) for reducing human damage at disasters. The ERESS primarily intended to reduce the number of victims in panic-type disasters (e. g., fire, terrorism) and works under mobile ad-hoc networks (MANET). This system uses ERESS Mobile Terminals (EMTs) like smart phones and tablets. EMTs have an advanced disaster detection algorithm and sensors. They get data from sensors such as acceleration, angular velocity, and terrestrial magnetism. EMTs classify behavior of EMTs holders like walking and running, and detect disasters from escape actions. In this paper, the authors propose a new effective disasters detection method using statistics and a support vector machine (SVM). In this method, we introduce weight coefficient for each EMT holder according to his behavior statistics. Disasters simulation experimental results show the effectiveness of the proposed method.

Development of Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters: Disaster Detection by Positioning Area of Terminals

Previously, the authors have proposed the Emergency Evacuation Support System (ERESS) for reducing disaster damage. The ERESS runs under Mobile Ad-hoc Networks (MANET) and primarily aims to reduce the number of victims in panic-type disasters. This system uses ERESS Mobile Terminals (EMT) which are mobile terminals assuming smartphones and tablets. EMT is provided with an advanced disaster detection algorithm and acquires sensor information such as acceleration, direction difference and walking steps. However, disaster detection of conventional ERESS is needed the information of all members existing on the same floor. In this paper, we propose a new disaster detection method using the positioning area information. Location information of the terminal holders are obtained by Radio Frequency Identification (RFID). In this method, we separate a number of areas in the floor and detect a disaster by the information of evacuees in the presence of each area. We show the effectiveness of the proposed method by panic-type experiments.

Novel vehicle information acquisition method using vehicle code for automotive infrared laser radar

In recent years, transportation convenience is improved significantly by the spread of the automobile. However, traffic violation vehicles passing on the signal, hit-and-run, etc. are increasing with the increase of vehicles. To track a violation vehicle, recognition systems of the license plate using the image processing technology and cameras have been developed. However this system becomes expensive and complicated. To solve these problems, we have proposed a recognition method of the vehicle code using infrared laser radar. We set up a one-dimensional code created by reflectors on the vehicle, and acquire the vehicle information by reading the vehicle code by infrared laser radar. It can be constructed inexpensive system by using infrared laser radar. However, there is a problem that the number of code patterns is small, so the system cannot accommodate too many vehicles. In this paper, we propose a new code recognition method using time-sequence processing for infrared laser radar. We create a two-dimensional code by setting different type reflectors on vertical positions. Thereby we increase the number of code patterns. Through experiments, we demonstrate the effectiveness of the proposed method.

Vehicle recognition method using reflectors for automotive infrared laser radar

In recent years, there are many collision accidents between vehicles due to human errors. As one of measures against the collision accidents, a radar system mounted on a vehicle has been attracting attention. By the radar mounted on a vehicle, it is possible to recognize the situation around the vehicle. The ranging with automotive infrared radar is very accurate, and able to understand the object existence in the observation around the vehicle. However, in order to grasp the situation around the vehicle, it is necessary to be aware of the attribute of the detected object. The information obtained by the automotive radar vehicle is only the direction and the distance of the object. Thus, the determination of the attribute of the detected object is very difficult. In this paper, we propose a vehicle recognition method by using reflectors. Through experiments, we show that the proposed method is effective for vehicle recognition.

A New State Judgment Algorithm for Emergency Rescue Evacuation Support System (ERESS) in Panic-Type Disasters

Previously, Emergency Rescue Evacuation Support System (ERESS) has been proposed to reduce the number of victim in panic-type disaster. The ERESS operates under the Mobile Ad-hoc NETworks (MANET) environment and make it possible for ERESS users to exchange their physical activity information with each other. This system consists of new mobile terminals (handset size) with advanced disaster recognition algorithm and acquires sensor information such as acceleration, direction difference and walking steps. However, the former ERESS can judge only the big action like stopping, walking, running, and falling. In this paper, we newly introduce a myoelectric sensor into ERESS and propose new state judging algorithm.

Development of ERESS in panic-type disasters: Disaster recognition algorithm by buffering-SVM

Many people have faced mortal risks due to sudden disasters such as fires, earthquakes, and terrorisms all over the world. To solve this kind of problems, we are developing ERESS (Emergency Rescue Evacuation Support System). This system consists of only mobile terminals with various sensors. In ERESS, these sensor data are exchanged and analyzed using only ad-hoc communication among nearby mobile terminals. ERESS aims to reduce the number of victims by supporting real-time evacuation in the critical situation for less than 30 seconds immediately after disaster outbreaks. The conventional ERESS recognized the disaster outbreaks by behavior analysis of terminal holders from sensor data using SVM (Support Vector Machine). However, there was a problem that it is difficult to obtain high reliability of judging disaster outbreak. In this paper, we propose a new method by buffering judgment results of SVM. We carry out experiments on the emergency evacuation with more than 200 examinees. We investigate the judgment accuracy of the proposed method and the time required for recognition of disaster outbreak.