Takanobu Otsuka

Evaluation of the Reputation Network Using Realistic Distance between Facebook Data

In recent years, such SNS services as Facebook, Google+, and Twitter have become very popular. In such services, many sources of information are posted and shared, although user rankings are hardly considered. In this paper, we consider for web pages an evaluation technique, such as HITS and PageRank, for SNS user evaluation applications and propose an algorithm using a users real distance. We consider various parameters, including user distance, favorites, and the numbers of friends in SNSs in our evaluation technique. We propose a new reputation network to measure the reliability of SNS information.

Anomaly Weather Information Detection Using Wireless Pressure-sensor Grid

In recent years, we have witnessed an unprecedented rise in localized severe weather phenomena, such as tornadoes and heavy rain, that are not predictable by conventional weather forecasting systems. In spite of this, there are few observation posts for forecasting tornadoes and heavy rain. It is necessary to srastically increase such observation points in order to make accurate predictions using real data. We have developed a compact and low-cost pressure information acquisition system to detect signs of localized abnormal weather. This research proposes an algorithm to predict local weather by detecting anomalous pressure values in the time series of the pressure sensor information and to notify users of impending dangerous weather conditions.

Experimental results on large-scale cyber-physical hybrid discussion support

Purpose This paper aims to present a preliminary experimental result on a large-scale experiment on a cyber-physical hybrid discussion support environment in a panel discussion session in an international conference. Design/methodology/approach In this paper, the authors propose a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously. The authors conducted a large-scale experiment in a panel discussion session in an international conference where participants can discuss by using their online discussion support system and by physical communications as usual. Findings The authors analyzed the obtained date from the following three viewpoints: participants’ cyber-physical attention, keywords cyber-physical linkage and cyber-physical discussion flow. These three viewpoints indicate that the methodology of the authors can be effective to support hybrid large-scale discussions. Originality/value Online large-scale discussion has been focused as a new methodology that enable people to discuss, argue and make consensus in terms of political issues, social complex problems (like climate change), city planning and so on. In several cases, the authors found that online discussions are very effective to gather people opinions and discussions so far. Moreover, this paper proposes a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously.

Challenges and implementation of ad-hoc water gauge system for the grasp of internal water damage

In recent years, and landslides caused by flooding of the river due to heavy rain, the number of such flooding of houses has increased. With regard to internal water damage, the structure and of the river, above sea level and, such as where a landfill, how completely prevent flood damage by internal water is difficult. At present, it is only possible addressing of Operating the drainage devices typified by car to pump submerged location. However, in order to quickly drained work as possible, it is necessary to understand the full flooding water by the water level data of the flooding point throughout. To that end we have done a prototype of a portable ad hoc simple water gauge for the purpose of installation in the field in collaboration with Nippon Koei Co., Ltd. In particular, in a portable of the wireless sensor networks, communication reliability is greatly influenced by the surrounding environmental factors by communication node movement. Therefore, differ from the fixed wireless sensor networks. It, the radio wave condition and buildings around which changes due to the movement, is the effect of such plants. Furthermore, features and issues required portable ad hoc simple water gauge system is operated in the actual disaster site, it is necessary to determine standing worker eyes for performing production. In this paper, it is possible to organize the task of ad hoc simple water gauge system that assumes the movement, was carried out implementation of portable wireless sensor networks.

Design of Joint Cooperative Routing, MAC and Physical Layer with QoS-aware Traffic-based Scheduling for Wireless Sensor Networks

Compare the WSN with other conventional network system, the changing or charging the existing battery of sensor node within WSN is a tough job. Therefore, since last decade the effort has been made to design and introduce a large number of communication protocol for WSN with given concern on the performance parameter of energy efficiency and still the key requirements within WSN domain, that how to incrementally expands the energy minimization consuming techniques of sensor battery. The other parameters include latency, fairness, throughput and delivery ratio. In this work, we propose a novel joint cooperative routing, medium access control (MAC) and physical layer protocol with traffic differentiation based QoSaware for wireless sensor network (WSNs). This is referred to as a Joint Routing, MAC and Physical layer protocol (J-RMP). By blending the classical layered approach and combining routing, MAC and physical layer functions, the proposed J-RMP protocol achieves a solution for energy efficiency in WSNs. Convention ally, the problem of energy efficient protocol design is considered independently at respective layer of protocol stack. This paper has taken a holistic approach of finding solution by addressing the possible energy gain in Routing, MAC and Physical layer together. Firstly, it is seen that communication path with the large number of short hop substantially minimizes energy consumption. This phenomenon is used while instantaneous network information is collected with minimum overhead through the control packets for selecting next hop. Based on the updated network knowledge the next hop neighbor is chosen with reduced control overhead. Further, we describe how J-RMP protocol uses the approach for finding the constrained shortest path for forwarding packets [1], which results in load balancing in WSNs and provide mathematical analysis of node forwarding path determination within network. Finally, we compare our proposed method with existing protocols by ns-2 simulator and confirm that J-RMP outperform in some cases in term of sensitive traffics. The experimental results have proved that the traffic load has been balanced to a certain traffic, and energy efficiency has been achieved by properly adjusting the applied theory. The outcome supports the theory, and proves the effectiveness of our proposed scheme. This kind of protocol should have significant implications for various WSNs application where energy constraint is the main point of concerns.

A diversity sensor connection capability WSN for disaster information gathering system

In recent years, and landslides caused by flooding of the river due to heavy rain, the number of such flooding of houses has increased. For this reason, the number of casualties has increased due to flooding of rivers and canals. Therefore, the situational awareness of the rivers and canals in the event of a disaster is important. We are research on wireless sensor networks (WSNs) for the purpose of collecting information in a disaster situation. Also we have developed a ad-hoc water gauge system based on WSN. However, dedicated WSN can not be used for general purposes for the purpose of collecting the disaster information. Therefore, WSN aimed only use of disaster is not practical considering cost-effectiveness. We implemented a general-purpose WSN system for can be connected to the required sensors in the event of a disaster. In this paper, we describe challenges and implementation of WSN system that allows a diversity sensor connection.

Anomaly Detection Algorithm for Localized Abnormal Weather Using Low-Cost Wireless Sensor Nodes

In recent years, we have witnessed an unpresented increase localized heavy weather phenomena such as tornadoes and localized heavy rain which can not be expected by the conventional weather forecast system. However, the number of observation posts is few little for forecasting for tornadoes and heavy rain. It is necessary to increase dramatically the observation points in order to perform ware correct prediction using real data. We have developed a compact and low-cost pressure information acquisition system, to detect the signs of localized abnormal weather. This research proposes an algorithm to predict local weather by detecting anomalous pressure values in the time series of the pressure sensor information, and then to notify users.

Flexible WSNs Aims Easy Installation With Noise Reduce Method For Elderly People Care

Much research has been conducted on anomaly detection by wireless sensor networks (WSNs). The existing WSNs require specialized knowledge and skills to install the sensors in environments such as houses and buildings. Therefore, we have developed a flexible WSN based on small sensor devices that can be easily installed. The users only need to place these sensors at the locations where they want to sense and to provide some information to the server through a web page. Then, these small sensor devices automatically create wireless networks, start communicating with the central server for logging continuous data, and show anomalies by using inference based on a basic Bayesian Network. However, a serious problem is that a large amount of noise data prevents correct inferences. Therefore, in this paper, we propose a method for reducing noise data based on location sampling of real human movements. Our experimental results show that our method is effective in increasing the inference accuracy for detecting anomaly data.

An Implementation of Large-Scale Holonic Multi-agent Society Simulator and Agent Behavior Model.

This paper presents a large-scale multiagent simulator that can simulate any complex urban environment and demonstrates its implementation on a distributed computing environment. We focus on society simulation, in particular traffic and crowd simulations, within any geographic area on earth. We adopt an multi-agent based approach for the different behaviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator succeeds to simulate at least more than 50,000 vehicles on the one server with a visualization.

Multiple Water-Level Seawater Temperature Prediction Method for Marine Aquaculture

The importance of aquaculture continues to grow due to the decrease in natural marine resources and an increase in worldwide demand. To avoid losses from aging and abnormal weather, we must predict multiple water levels of seawater temperature to maintain a more stable supply of marine resources, particularly for high-value added products, such as pearls and scallops. In this paper, we propose an algorithm that estimates seawater temperature in marine aquaculture by combining seawater temperature data and actual weather data.