Shuichi Adachi

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This paper proposes a new driver support system which assists driver's operation in an obstacle avoidance scene. The proposed system has actuator systems which are Electric Power Steering (EPS) and Direct Yaw-moment Control (DYC). The obstacle is detected as a differential feature value by using a microwave radar instead of a camera. Cooperative control is(More)
This study aimed to identify predictive factors associated with prognostic benefits of gefitinib. A total of 221 Japanese patients who received gefitinib (250 mg day(-1)) were examined retrospectively and potential predictive factors analysed. Overall response rate (ORR) was 24.4% and median survival time (MST) was 8.0 months. In a log-rank test, survival(More)
— The purpose of this work is to enable risk-limiting electricity dispatch through a market mechanism. There has been a solid body of work on centralized risk-limiting dispatch, which guarantees that the risk of energy shortage is within a user-specified bound. The current trading mechanism of a day-ahead electricity market can be viewed as a market that(More)
The purpose of this study was to determine the maximum tolerated dose (MTD) and recommended dose (RD) of pemetrexed with folate and vitamin B12 supplementation (FA/VB(12)) in Japanese patients with solid tumours and to investigate the safety, efficacy, and pharmacokinetics of pemetrexed. Eligible patients had incurable solid tumours by standard treatments,(More)
The objective of our study is to build a precise model by applying the technique of system identification for the model-based control of a nonlinear robot arm, taking joint-elasticity into consideration. This paper proposes a systematic identification method, called " decoupling identification " , for a serial two-link robot arm with elastic joints caused(More)
— This paper is concerned with the risk-limiting operation of electric power grids with stochastic uncertainties due to, for example, demand and integration of renewable generation. The main contribution is incorporating auto-regressive-moving-average (ARMA) type prediction models for the underlying uncertainties into chance-constrained, finite-horizon(More)