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This paper proposes bilinear Gaussian belief propagation (BiGaBP) for joint channel and data estimation (JCDE) in large multi-user multi-input multi-output (MU-MIMO) systems. JCDE is a well-known strategy for realizing a high-precision MU detection (MUD) with short pilots by utilizing the orthogonality of data sequences. For massive MIMO scenarios, the JCDE via bilinear generalized approximate message-passing (BiGAMP), which is systematically derived by extending AMP to the bilinear inference problem (BIP), achieves extremely low computational cost. However, the use of short non-orthogonal pilots to reduce the channel acquisition overhead significantly degrades the convergence property of BiGAMP. To resolve the lack of an appropriate JCDE scheme based on insufficient pilots, we design a novel MP rule based on GaBP, which is given by relaxing the large-system approximation from AMP. Furthermore, the belief scaling complying with the detection state in each iteration step is introduced to suppress the negative impact of non-orthogonal pilots even in the insufficient large-system conditions. Numerical results show the validity of our proposed method in terms of bit error rate (BER) and mean square error (MSE) performances.

In V2X communication on the actual road, both the length of communication distance and the total size of data transmission must be maximized at the same time when vehicle are running on the road. The conventional single wireless communication such as Wi-Fi, IEEE802.11p, LPWA, cannot satisfy those conditions at the same time. In order to resolve such problems, N-wavelength wireless communication method is newly introduced in our research. Multiple standard wireless networks with different wavelengths are integrated to organize a cognitive wireless communication. The best link of the cognitive wireless is determined by considering their RSSI values. In order to verify the effects of our proposed method, a prototype system is constructed at the actual road and tested the performance, such as communication distance and total transmission data. Through the performance evaluation, the effects of our suggest method could be verified over the single network.

We developed a system for deterring traffic problems by understanding the road surface condition, collecting information from many vehicles and calling attention at various levels to the driver. We focus on the sharing method of sensor data with road condition using V2X communication. The Wi-Fi communication in the 2.4 GHz band which is the conventional method, has a short communication distance and must understand the communication partner in advance. We use 920 MHz band communication which is long distance communication to compensate for these problems. We propose a cognitive network method to optimize V2X communication by combining both WiFi and 920MHz bands.

Although people should wash their hands to prevent infection especially in a place where many people gather, such as in a hospital or a school, it is difficult to teach young children to wash their hands properly. The challenge is to make them understand why they should wash their hands even if they are looking already clean. We propose a novel VR hand washing training system for preschool and lower school grade of children. This system superimposes germ illustrations on their hands through a HMD, and germs get removed when children move their hands in a proper washing motion. Then, they can intuitively learn the reason and the method. We had an experiment to evaluate if our proposed VR system is more effective than a conventional hand hygiene instruction for young children. The result of the experiment will suggest the effectiveness of the proposed system.

The vehicle-to-vehicle (V2V) networks have become one of the significant topics for the future automobile technologies in recent. However, the high frequency wireless interfaces for V2V networks have some subjects such as the transmission range and the obstacles. Therefore, this paper proposed the Adaptive Array Antenna (AAA) control methods with the image recognitions for the DTN based V2V networks in the Disaster Information System (DIS), and the implementations of the proposed AAA system are introduced. Then, the experimental results show the effectiveness of the beam-forming controls for the target angles, and the results are also discussed for the future works.

In this paper, we introduce a road surface conditionunderstanding and sharing system. Traffic accidents and obstructionsdue to bad weather conditions and poor road conditions areserious social problems. It is necessary for drivers to understandweather and road conditions in advance to avoid traffic accidentsand obstructions and it is necessary to alert drivers to weatherand road conditions in order to reduce driving and judgementerrors. In addition, gathering information from others andcommunicating information to others are necessary. Based onabove, we construct a road surface condition understanding andsharing system using various sensing technologies. In particular, to realize gathering information from others and communicatinginformation to others, we work on implementation, experimentationand improvement on wireless communication(Vehicle-to-Infrastructure communication and Vehicle-to-Vehicle communication). We conduct communication experimentation in real environments.

The road conditions during the winter especially in mountain areas are one of the significant safety subjects for the residences and the tourists. However, there are still many places where the wireless networks such as 3G and LTE are hard to connect in the mountain areas, and it is also difficult to keep continuous data transmissions during the nodes are moving. Therefore, this paper proposes the Delay Tolerant Networks (DTN) with Adaptive Array Antenna (AAA) Control systems for the V2V networks. In the proposed systems, the vehicles equip the AAA control systems with IEEE802.11a/b/g in the proposed system, and the radio direction is controlled by the pattern recognitions from camera images with Kalman filter algorithm. The prototype system and the experiments are introduced in the paper, and the results are discussed for the effectiveness of the proposed systems and the future studies.

In this paper, we introduce an estimation of communication range using Wi-Fi for V2X communication environment. Traffic accidents and traffic hazard are serious social problems. Understanding road condition in advance is important and necessary to prevent traffic accidents and traffic hazards. In addition, getting information without Internet connection is necessary to provide road information for drivers in real-time because there is an environment that getting Internet connection is difficult. We construct a road condition sharing system with multiple vehicles using V2X communication. Our goal is to share road condition without Internet connection. To realize our goal, we experiment V2X communication, evaluate experimental results and estimate communication range.

In this paper, we introduce an experimentation of V2X communication in real environment for a road alert information sharing system. Traffic accidents and traffic hazard are serious social problems. Understanding road condition in advance is important and necessary to prevent traffic accidents and traffic hazards. In addition, getting information without Internet connection is necessary to provide road information for drivers in real-time because there is an environment that getting Internet connection is difficult. We construct a road alert information sharing system with multiple vehicles using V2X communication. Our goal is to share road alert information without Internet connection. To realize our goal, we experiment V2X communication in various environments and evaluate experimental results.

In our study, we develop a road condition monitoring system using multiple sensor data based on Software Defined Network (SDN) for Intelligent Transport System (ITS). The road conditions on both normal and disaster cases are monitored and collected to the cloud server to provide in public through the Web page on Internet, but also exchanged between the vehicles running on the same road in realtime. SDN based communication method using cognitive wireless networks is used to quickly and widely transfer those collected to know each other the road conditions which they will go ahead the road. Multiple wireless networks are used to organize a cognitive network to improve the connectivity of communication for vehicle-to-vehicle communication. In this paper, the road condition monitoring system and its communication method are introduced. The system configuration and architecture and communication method are explained. A prototype system is shown.

The road conditions during the winter especially in mountain areas are one of the significant safety subjects for the residences and the tourists. However, the network services such as LTE or 3G are not available as the urban areas. Therefore, this paper proposed the Area of Interest (AOI) for Vehicle-to-vehicle (V2V) based the Delay Tolerant Networks (DTN) of the road surveillance system. In the proposed network system, IEEE802.11a/b/g/p is supposed for introducing the wireless V2V system, and the observed road condition's data is transmitted with the proposed the DTN routing of AOI. For the efficiency of the proposed network system, the GIS road maps of Takizawa in Japan are introduced for the computational simulations. Then, the results are discussed for the future studies of the V2V based DTN routings of the road surveillance system in local areas during the winter.

In this paper, we introduce a road alert information sharing system with multiple vehicles using Vehicle-to-Vehicle communication considering various communication network environment, which is named SODiCS (Spatial and temporal Omnidirectional sensor data Distribution and Collection System). Japan is prone to natural disasters. In addition, traffic hazards and traffic accidents occur due to snow. A wide range and quick condition understanding and monitoring are needed. In addition, it is important to understand the condition of the destination and the road condition to the destination. But, especially after a disaster has occurred, areas that mass media can provide disaster condition information are limited. Recently, various higher technologies have been developed and noticed. By using those technologies, we develop SODiCS. Using this system, we can realize road condition understanding, monitoring and recording as an alert information using multiple sensor data, information sharing between each vehicles and information is provided as web application. As a quantitative evaluation, we measure vehicle-to-vehicle communication quality.

In this paper, we introduce a road condition sharing system using Vehicle-to-Vehicle communication in various communication environment. Japan is prone to natural disasters. In addition, traffic hazards and traffic accidents occur due to snow. A wide range and quick condition understanding and monitoring are needed. In addition, it is important to understand the condition of the destination and the road condition to the destination. But, especially after a disaster has occurred, areas that mass media can provide disaster condition information are limited. Recently, various higher technologies have been developed and noticed. By using those technologies, we develop our system. Using our system, we can realize road condition understanding, monitoring and recording as an alert information using multiple sensor data, information sharing between each vehicles and information is provided as web application. As a quantitative evaluation, we measure vehicle to-vehicle communication quality.

Recently, the number of automotive sensors has increased with the spread of electronic control systems such as driver assistance functions, navigation systems and hybrid systems. Time-Spacial automotive sensor data from various environmental and internal information of a vehicle is used for many vehicle control functions and services for passengers. To handle such time-spacial sensor data, we propose and develop an automotive sensor information platform named CoMoSE, which provides the utilized methods of automotive sensor information and serves the various services. In this paper, we consider a road surface freezing information providing system and define requests for communication by the system, and implement the road-to-vehicle and vehicle-to-vehicle communication using CoMoSE platform.

In our study, we develop a road condition monitoring system using multiple sensor data considering various communication environment, which is named SODiCS (Spatial and temporal Omni directional sensor data Distribution and Collection System). Japan is prone to natural disasters. In addition, the areas that have a lot of snow are prone to traffic hazards and traffic accidents occurring due to snow. A wide range and quick condition understanding and monitoring are needed after a disaster has occurred. In addition, it is important to understand the condition of the destination and the road condition to the destination in cases of commuting, disaster response and disaster relief. But, especially after a disaster has occurred, areas that mass media can provide disaster condition information are limited. Therefore, a wide range understanding of disaster condition is difficult. Recently, various higher technologies have been developed and noticed. By using those technologies, we develop SODiCS. Using this system, we can realize road condition understanding, monitoring and recording using multiple sensor data, information sharing between each vehicles and information is provided as web application. As a quantitative evaluation, we measure vehicle-to-vehicle communication quality.

In Japan, an effective disaster control is needed because Japan is prone to severe disasters including earthquakes, tsunami, typhoon, heavy rain and snow. Application of the ubiquitous sensing system is expected to be an effective disaster prevention system in disaster-prone Japan. In this paper, we examine the possibility to apply COMOSE (Co-Operative Mobile Sensor Environment) platform that collects automotive sensor information using the wireless plug-and-play technology to the ubiquitous sensing system.

Through we experienced at the Eastern Japan Great Earthquake on March 11, 2011, a disaster information gathering systems are strongly needed to widely collect the disaster state around the evaluated areas, correctly analyze the degree of damages and quickly make decision of disaster recovery response. For this requirement, a mobile video surveillance system on a vehicle based on wireless network is useful on because of its wide rage monitoring and mobility. However, since most of the communication lines and systems are seriously damaged and the communication state is widely worse particularly in hilly and mountainous areas. In this paper, we introduce SODiCS (Spatial and Temporal Omnidirectional Video Distribution and Collection System) for challenged communication environment. Video data gathered using omnidirectional camera and various sensors are transmitted to all of the users through a web application. The user can see those collected data on GIS map as a web application. We developed the system with two modes as video distribution functions, Live View mode and Storage View mode. The system configuration and architecture are explained and a prototype system is constructed to evaluate the performance of our system.

In this paper, we introduce a disaster area information gathering and distribution system SODiCS, which is expected to be an effective disaster prevention system in disaster-prone Japan. Moreover, we introduce automotive sensor data platform COMOSE, which can easily handle multiple sensor nodes. Subsequently, we declare functional requirements of SODiCS system and show that it is possible to implement SODiCS system of over COMOSE platform.

Japan is prone to natural disasters occurring including earthquakes, tsunami, typhoon, heavy rain and snow. A wide range and quick information gathering systems are needed after a disaster has occurred. In addition, wireless networks are very useful at a disaster has occurred. By using wireless networks, we can build a network quickly using moving vehicles. But there is a challenging communication environment in hilly and mountainous areas and after a disaster has occurred where communication is completely disabled. In this paper, we introduce SODiCS (Spatial and Temporal Omni directional Video Distribution and Collection System) for challenged communication environment. Data gathered using Omni directional camera and sensor is transmitted to all of the users through a web application. The user can see the data gathered on GIS map as a web service. We equipped the system with two modes of video distribution functions, Live View mode and Storage View mode. The system configuration and architecture are explained and a prototype system is constructed to evaluate the performance of our system.

In this paper, we introduce Wireless Networked Omni-directional video collect and distribution System for both normal and challenged network environment. Omni directional video camera is used to capture the 360 degree of surround image with various sensor including GPS location, 3-densional gyro-sensor, temperature sensor data. Those data are transmitted to all of the users through Web system. In normal network condition, the conventional IP protocol over mobile network or wireless network are used to access to Web server through Internet. The delay tolerant network protocol (DTN) is used between the vehicles and the web server to support challenged network environment such as mountain road and disaster area. The user can see the live video and recorded video along the road with 360 degree surround on GIS map as Web services. The system configuration and architecture are explained and a prototype system is constructed to evaluate the functional and performance. Through the performance evaluation, the usefulness and effects of the proposed system is validated.