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RISS 인기검색어
- 검색키워드
- 저자 : Xianchao Zhao (검색결과 3 건)
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Static balancing of a spatial six-degree-of-freedom decoupling parallel mechanism
Taoran Liu,Feng Gao,Xianchao Zhao,Chenkun Qi 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.1
The static balancing of a spatial 6-degree-of-freedom (6-DoF) decoupling parallel mechanism is discussed in this paper. Two traditionalapproaches (using counterweights and the springs) are used to statically balance the mechanism. Due to the existence of theirshortcomings, a hybrid approach is proposed based on the static balancing of the mechanism. The main feature of this mechanism is thatthe 3-DoF rotating part can be static balancing itself, which means that its mass has no effect on the gravity balancing of the system, forany configuration of the mechanism, so the rotating part can be considered as a whole and the calculation is simplified. Finally, examplesand dynamic analysis corresponding to the three balancing methods are given to illustrate the results.
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A new macro-micro dual drive parallel robot for chromosome dissection
Jin Feng,Feng Gao,Xianchao Zhao,Yi Yue,Renqiang Liu 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.1
This paper presents a parallel-structure system dually driven by six servo motors and six piezoelectric actuators. Due to the combination of macro and micro manipulators which are both of orthogonal structures, the proposed system possesses a concise structure as well as actuation isolation and output motion decoupling properties. By using a glass needle mounted on a six-dimensional force sensor in endpoint operating, this system can be applied to chromosome dissection that to make the whole process more efficient and automatic. The glass needle tip has a stroke of 106 mm in three linear motions and 18.7-arc-degrees in three angle motion directions, with servo motors adopted. It also has the resolution of 20 nanometers with the adoption of piezoelectric actuators. The kinematics, isotropy, decoupling and design considerations of the proposed robot are discussed. Workspace and resolution of both macro and micro manipulators are measured separately. The experiments are also conducted to show its capability in dissecting chromosomes.
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An Attention-based Temporal Network for Parkinson's Disease Severity Rating using Gait Signals
Huimin Wu,Yongcan Liu,Haozhe Yang,Zhongxiang Xie,Xianchao Chen,Mingzhi Wen,Aite Zhao 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.10
Parkinson's disease (PD) is a typical, chronic neurodegenerative disease involving the concentration of dopamine, which can disrupt motor activity and cause different degrees of gait disturbance relevant to PD severity in patients. As current clinical PD diagnosis is a complex, time-consuming, and challenging task that relays on physicians' subjective evaluation of visual observations, gait disturbance has been extensively explored to make automatic detection of PD diagnosis and severity rating and provides auxiliary information for physicians' decisions using gait data from various acquisition devices. Among them, wearable sensors have the advantage of flexibility since they do not limit the wearers' activity sphere in this application scenario. In this paper, an attention-based temporal network (ATN) is designed for the time series structure of gait data (vertical ground reaction force signals) from foot sensor systems, to learn the discriminative differences related to PD severity levels hidden in sequential data. The structure of the proposed method is illuminated by Transformer Network for its success in excavating temporal information, containing three modules: a preprocessing module to map intra-moment features, a feature extractor computing complicated gait characteristic of the whole signal sequence in the temporal dimension, and a classifier for the final decision-making about PD severity assessment. The experiment is conducted on the public dataset PDgait of VGRF signals to verify the proposed model's validity and show promising classification performance compared with several existing methods.
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