Browsing by Author "Chen, Chao-Chun"

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Metallic conduction and large electron-phonon-impurity interference effect in single TiSi nanowires
(2012-09-05)
Hsu, Wei-Che
;
Chen, Chao-Chun
;
Lin, Yong-Han
;
Lin, Huang-Kai
;
Chiu, Hsin-Tien
We report on the first electrical characterizations of single-crystalline TiSi nanowires (NWs) synthesized by chemical vapor deposition reactions. By utilizing the focused-ion-beam-induced deposition technique, we have delicately made four-probe contacts onto individual NWs. The NW resistivities have been measured between 2 and 300 K, which reveal overall metallic conduction with small residual resistivity ratios in the NWs. Surprisingly, we find that the effect due to the interference processes between the elastic electron scattering and the electron-phonon scattering largely dominates over the usual Boltzmann transport even at room temperature. Such prominent electron-phonon-impurity interference effect is ascribed to the presence of large amounts of disorder and high Debye temperatures in TiSi NWs.
Using Interval Type-2 Recurrent Fuzzy Cerebellar Model Articulation Controller Based on Improved Differential Evolution for Cooperative Carrying Control of Mobile Robots
(2018-01-01)
Jhang, Jyun-Yu
;
Lin, Cheng-Jian
;
Lin, Tzu-Chao
;
Chen, Chao-Chun
;
Young, Kuu-Young
In this study, we propose an effective cooperative carrying method for mobile robots in an unknown environment. During the carrying process, the state manager (SM) switches between wall-following carrying (WFC) and toward-goal carrying (TGC) to avoid obstacles and prevent the objects from dropping. An interval type-2 recurrent fuzzy cerebellar model articulation controller (IT2RFCMAC) based on dynamic group differential evolution (DGDE) is proposed for implementing the WFC and TGC of mobile robots. The adaptive wall-following control is developed using the reinforcement learning strategy to realize cooperative carrying control for mobile robots. The experimental results indicated that the proposed DGDE is superior to other algorithms and can complete the cooperative carrying of mobile robots to reach the goal location.