Goro Kunito

Power Saving Mechanism Based on Simple Moving Average for 802.3ad Link Aggregation

In this paper, we propose a power saving mechanism based on a simple moving average of the traffic rate in 802.3ad link aggregation. Two key components comprise the proposed mechanism: (1) a negotiation protocol for both nodes connected to an 802.3ad aggregated link and (2) an algorithm to estimate an appropriate number of active links to comprise the aggregated link in accordance with the current rate of traffic outbound on the link. We present an evaluation of the characteristics of the algorithm and its performance through simulation with real traffic trace data. Our simulations demonstrate that under certain conditions the proposed algorithm is capable of reducing the average number of active links by as much as 25.4% (6.7 W out of 26.4 W).

Power saving technique based on simple moving average for multi-channel Ethernet

In this paper, we propose power saving technique based on simple moving average method for multi-channel Ethernet and evaluate its performance through simulation with real traffic data.

Human activity recognition based on surrounding things

This paper proposes human activity recognition based on the actual semantics of the human’s current location. Since predefining the semantics of location is inadequate to identify human activities, we process information about things to automatically identify the semantics based on the concept of affordance. Ontology is used to deal with the various possible representations of things detected by RFIDs, and a multi-class Naive Bayesian approach is used to detect multiple actual semantics from the terms representing things. Our approach is suitable for automatically detecting possible activities under a variety of characteristics of things including polysemy and variability. Preliminary experiments on manually collected datasets of things demonstrated its noise tolerance and ability to rapidly detect multiple actual semantics from existing things.