Shintaro Imai

A data processing method for motion estimation considering network and sensor node loads

In a system that estimates human motions using acceleration sensors, a large amount of sensor data must be analyzed and processed appropriately. However, these systems present the following two problems: 1) advanced analysis and processing of sensor data are difficult because of the resource limitation of sensor nodes, 2) such analyses and processing burden the network because numerous sensor data are sent to the network. As described in this paper, we propose the method for sensor data analysis and processing using a host computer located in the neighborhood of sensor nodes (neighborhood host). This method is intended to achieve a good balance between reducing the network load and advanced sensor data analysis and processing. Moreover, this method incorporates reduction of the load to sensor nodes. We implement a prototype system to evaluate this method. This system estimates human motion using the acceleration sensor that generates sensor data frequently. We conduct some initial experiments using this prototype system. The experimentally obtained results show that the proposed method can reduce the network load by processing the acquired sensor data in the neighborhood of sensors. Moreover, power consumption of sensor nodes is reduced by controlling the time interval for data acquisition based on instructions of the neighborhood host.

Effective ubiquitous service provisioning based on Knowledge Circulation Framework

It is necessary to use expert knowledge of networks and computers to reduce the burden on users when providing high-quality communication services to non-expert users in ubiquitous information environments. We have been working on the systematic support of circulation of expert knowledge to meet that need. In this paper, we propose a new Knowledge Circulation Framework (KCF) for ubiquitous service provision: uKCF. We applied uKCF to service control for a ubiquitous videoconferencing system. The experimental results show that the proposed system can provide better and more stable service by improving adaptability to various ubiquitous computing environments.

Ubiquitous communication services based on effective knowledge deployment

Provisioning high quality communication services in resourcescarce information environments, effective employment of various kinds of knowledge of human users/operators concerning diverse services and continually changing environments is necessary. We have been working on Knowledge Circulation Framework (KCF) to resolve such kind of issue. This framework aims to realize user-oriented and resource-aware services by deploying QoS control knowledge in the network. In this paper, we apply KCF to ubiquitous communication services. We realize KCF by using the concept of knowledge-based multiagent system. We also introduce a similarity metric to compare characteristics of different ubiquitous information environments.We applied KCF to the ubiquitous videoconference system and performed several experiments. The experimental results show that our system can provide better and more stable QoS, by improving the adaptability to the various types of environments.