In this paper, the design and implementation of wireless data transmission and low power consumption of a low cost electroencephalogram (EEG) to monitor the brainwave signals for medical and non-medical applications is presented. It can be used in smart city applications such as for brain-computer interface in industrial and transportation applications or intelligent wireless wearable EEG solutions for daily life applications. The wireless EEG wearable system is designed, simulated, constructed and tested to monitor the brainwave signals. The Zigbee module was used to construct the wireless data transmission system. The experimental results show that the proposed EEG system was successfully developed and tested. Its total coast is cheaper compared to the commercial EEG system.

Complex permittivity of hydrated soil included in lands was measured by setting the water volume content to be from 2.5% to 15% for landslides prognostication at frequency bands from low frequency (LF) to medium frequency (MF). The main emphasis is placed on a simple test equipment, which consists of top and bottom electrodes in a plastic cylinder for filling some solutions. From the results, it was obvious that the loss tangent was larger than those of the soil and water themselves due to the ionization. In addition, the complex permittivities of live and dead leaves, woods, and stones existing in the lands were also measured by using the test equipment to estimate the effective permittivity of the forest. The evaluation of the complex permittivities was successfully performed.

Because radiation patterns of conventional antennas at the security gates are not enough sharp, many false operations are pointed out to recognize the RF-tags located in short distance away from the security gates. In this paper, a technique to narrow down the radiation patterns of the antenna operationally was proposed while keeping antenna size to be small based on the monopulse system at 920MHz. From the numerical and experimental investigations, it was obvious that this system guaranteed the narrow beam operation to be less than the range of the arrival angle of 20° although an antenna with a half power beamwidth of 150° was used. And moreover, influence of the interference waves from other unchecked RF-Tags located in short distance away from the security gate was considered, the shoplifted RF-Tag passing through the security gate.

This paper presents radar cross section (RCS) characteristics of road objects with a 79GHz ultra-wideband (UWB) automotive radar. Generally, advanced driver assistance system (ADAS) requires camera and Lidar (light detection and ranging) sensor for safe navigation and avoidance of obstacles. However, these sensors should do not work well in bad weather conditions such as snow and fog as well as backlight. On the other hand, radar (radio detection and ranging) sensor has attracted considerable attentions because of its offering all weather capability unlike these sensors. Especially, 79GHz UWB radar with high range-resolution may recognize road objects such as guardrail, pole-corn and information-panel. There are many road objects not only on highway but also on ordinary road. In this paper, we conducted 79GHz UWB measurements of various road objects. The RCS characteristics are discussed by comparing with 24GHz and 76GHz radar in Chapter 2 and the usefulness of 79GHz radar is presented for self-vehicle location estimation in Chapter 3.

Automotive UWB radar has recently attracted significant attention which increases the driver's safety and convenience. It is required to detect the object in low visibility and to detect the object hidden behind the blind spot during parking or lane change by measuring the distance and angle object around the vehicle. Therefore, a two-dimensional position estimation method based on 2D-MUSIC (Multiple Signal Classification) method is proposed to estimate the position of some targets. However, it requires correlation suppression processing in multi-path environments. In addition, if the number of arrival waves is larger than the number of received antenna elements, separation of arrival waves becomes difficult. In this paper, therefore, MIMO (Multi Input Multi Output) Virtual Array is used to increase the number of receive antenna elements. Correlation suppression of the coherent waves is also performed using the spatial smoothing processing in the frequency domain. We conducted measurements and investigated the usefulness for various scenarios.

Vehicle radar has recently attracted considerable for assist in safe driving and self-driving because it overcomes the shortcomings of laser and camera. Eventually, ultra-wideband (UWB) radar would be able to detect some objects even in bad weather condition such as fog, dust and rain. It is important to understand the radar cross section (RCS) characteristics of various type of vehicles in vehicle radar. However, in the perimeter monitoring situation in the vehicle radar, the entire circumference of the vehicle is not detected. In this paper, the direction of the detection target is divided into three parts corresponding to the purpose of the Perimeter monitoring radar, and the RCS characteristics for each orientation of three kinds of vehicles are compared in the 79GHz band. For comparison of frequency characteristics, the same experiment was conducted in the 10GHz band and the 24GHz band. As a result, the frequency characteristics of the azimuth angle RCS for each model showed different trends. In addition, we confirmed that the azimuth angle RCS characteristics is divided into Log-normal and Log-Weibull.

This paper describes an H-plane rectangular waveguide TE₁₀-TE_n0 mode converter for microwave fryers using microwave dielectric heating. The mode converter consists of a standard rectangular waveguide and a multiple mode one for TE_n0 mode microwave. The multiple mode waveguide has several metallic posts in order to match of the input port and suppress unnecessary modes. As a result of optimizing the circuit configuration of the converter based on the H-plane planar circuit approach at a center frequency of 2.45GHz, practical characteristics for microwave fryers can be realized. The validity of this design procedure is confirmed by a commercial electromagnetic simulator (ANSYS HFSS). From experimental result of oil heating by means of twelve heating units, it was possible to confirm the temperature rise up to 180 degrees and the effectiveness of this proposed Microwave fryer.

Next generation millimeter wave wireless devices with low profile are required. Moreover, thin dielectric substrates and low ε_r packaging materials are developed actively in order to realize such devices. Therefore, a development of a complex permittivity evaluation technique for low ε_r dielectric films in millimeter wave frequency bands is extremely expected. We focus on a circular cavity resonator which is attached conductor plate to circular cylinder for the cut-off circular waveguide method. We investigated important points for low ε_r dielectric film measurements using the circular cavity resonator. Complex permittivity of five plastic wrap films are measured at 60-GHz band to verify the usefulness for the proposed method. As a result, it is verified that it can be applied till thickness of 10 µm when resonator parameters of the ”real” empty cavity are measured accurately.

The research results by the investigative committee on Innovative Technologies for Advanced Applications of Electromagnetic-waves, which have been organized under the technical committee on electron devices for the last three years, are introduced to discuss the trend of high-frequency technologies to bring new developments in the electromagnetic wave applications.

This paper study to realize navigation system with Localization using GPS (Global Positioning System) and wireless LAN-Finger printing. GPS is effective in outdoor and wireless LAN is effective in indoor. So, in this study, examine evaluate high accuracy position estimation by switching GPS and wireless LAN.

Terminal stations in intercity rail transportation are often equipped with many trucks, and trains arrive at and depart from these stations frequently. Reduction of headway time, however, would be limited and certain methodology will be required to fully utilize the capacity of these terminal stations. These terminal stations are often so-called stub stations, where trains arriving there change ends and direction. Time for passengers to get off/on a train together with time for clean-up would be needed, but it is not desired for trains to unnecessarily occupy platforms for a long time. We focus on lines in which an intermediate station exists in the close proximity of the terminal, and propose an optimization model formulated into 0-1 integer program to evaluate the effects of utilizing turn backs at an intermediate station on the line throughput. Two cases are studied supposing intercity rail transportation in Japan such as bullet-train (Shinkansen) lines both originating from Tokyo terminal and numerical results are reported.

In this paper, we try to acquire various behavior patterns of autonomous exploration agent using several learning environments. In case of previous learning methods using a single behavior rule set, it is hard to acquire the behavior that covers all learning environments. In our method, we divide learning environments into some primitive environments whose properties differ each other, and then generate modules that are specialized for each primitive environment. To optimize behavior rules of agents, we adopt Graph Structured Program Evolution (GRAPE) which can automatically generates graph structured programs. In unknown environments, each module is switched by a program named “switcher”. The switcher selects the module that acts better in a neighboring environment. Through several experiments, our method achieved higher exploration rate in unknown environments compared to simple GRAPE, random search, and the method that switches modules randomly.

RRT (rapidly-exploring random tree) with random sampling is an effective method for path planning, and is often used for robot manipulators. The RRT has many modified methods for applying various problems and conditions. Particularly, T-RRT (Transition-based RRT) one of those has advantage that it is able to adopt arbitrary evaluation function. In this paper, a novel path planning method based on the T-RRT is proposed for ensuring ”quality” of a generated path. Then, its effectiveness is evaluated via comparison with other sampling-based methods using simulation of the industrial robot having seven degrees of freedom.

In this paper, the authors propose an omni-directional overlooking image of intersection using a fish-eye camera, and describe on the image processing method utilizing a feature of the image. The intersection is shot by one camera at a corner of the intersection. The camera turns just under. In the method, an original image from the fish-eye camera is transformed by a pseudo fish-eye image transformation and a spherical polar transformation. The transformed image expresses a scene which is looking down the omni-directional roads similarly. According to the transformed image, all roads are expressed vertically and all pedestrian crossings are expressed sideways. Utilizing the feature of the image, it is possible to detect the cars and the pedestrians of all roads. It is also possible to obtain a data for judgement of a crossing between the car and the pedestrian or between the cars. In the paper, the method is explained and an experimental result is shown.

Since the start of television broadcasting, as a method of smoothly reproducing a moving image and reducing the information amount of the image, interlacing processing is performed in which two images with time difference are alternately mixed every other row. When performing image processing such as noise removal and contour emphasis on interlaced video, it is necessary to cancel the interlaced state, but if the video is enlarged for some reason, it is not possible to correctly deinterlace. In this paper, we describe a method to detect the state of the expanded interlaced video and restore it to the normal interlaced state. Experimental results confirmed that for interlaced videos of various enlargement ratios, the state was correctly detected and restored to the original size.