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        Appraise and analysis of dynamical stability of cable-driven lower limb rehabilitation training robot

        Yan-lin Wang,Ke-yi Wang,Wan-li Wang,Peng-cheng Yin,Zhuang Han 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.11

        This paper presents a problem that traditional methods cannot evaluate the dynamical stability of the under-constraint cable-driven lower limb rehabilitation training robot (CLLRTR). An analytical method is presented to evaluate the dynamical stability of CLLRTR. Firstly, position performance factor, posture performance factor and cable tension performance factor are defined based on the kinematics and dynamics of CLLRTR. An appraisal index and method of the dynamical stability for CLLRTR with the hybrid force-position-pose approach is proposed by using the weighted average method among three performance factors. Secondly, the stable workspace and robustness workspace with the external forces are defined according to the stability margin. Finally, the simulation analysis and the experimental study are used to illustrate the distribution of the dynamical stability in the whole workspace of CLLRTR. The results show that the experimental results are the same as the theoretical simulation analysis results. So the appraisal index of the dynamical stability can be used to evaluate the dynamical stability of CLLRTR. It will provide a foundation for the trajectory planning and control strategy of CLLRTR training pattern.

      • KCI등재

        Analysis of dynamical stability of rigid-flexible hybrid-driven lower limb rehabilitation robot

        Yan-lin Wang,Ke-yi Wang,Zi-xing Zhang,Zhuang Han,Wan-li Wang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.4

        The research of the safety problem of the cable-driven lower limb rehabilitation robots (CDLR) is not considered in the related report. Hence, the purpose of this paper is to study the dynamical stability evaluation method of a rigid-flexible hybrid-driven lower limb rehabilitation robot system (RFHDLR) to meet the training requirements of different patients in different rehabilitation stages. In order to improve the flexibility and operational performance of the robot system, one rigid motion chain is introduced into the cable-driven parallel robot (CDPR) to form a RFHDLR. Secondly, the motion planning strategy of the rigid motion chain is analyzed. Then, based on the kinematics and dynamics of the robot system, the cable tension performance factor and the system stiffness performance factor of the robot system are defined, and the static stability evaluation method and index of RFHDLR are obtained by the weighting method. Considering the patient's ability to withstand the motion velocity and the effect of the volatility of slide motion velocity of the rigid motion chain on the safety of the robot system, the velocity performance factor of the robot system is proposed. The dynamical stability evaluation method and index of RFHDLR are discussed based on the static stability evaluation method and the velocity influence function. Finally, for the two planning strategies of the rigid motion chain, the experimental study of the planned training trajectory of the lower limb traction point is performed based on simulation analysis. The experimental results verify the correctness of the stability evaluation method and provide a reference for further studying the training task planning and the control strategy.

      • Using Color Composition Diagrams as a Medium for Promoting Better-balanced Diet

        Yao Dai,Yi-Lin Zhuang,Nan-Ling Yeh,Jun Pana,I-Ping Chen 한국색채학회 2017 AIC 2017 Jeju Vol.2017 No.10

        We aim to design an App that helps people establish an increased awareness on their daily diet in a highly playful manner. The core concept of this App is to use color information of food photographs people take before meals to give users feedback on how to balance their diets. A healthy food and an unhealthy food color template were created through the following process: using the guideline provided by WHO (World Health Organization), we collected thousands of images of healthy and unhealthy food. The collective color attributes (hue composition, weights of redness, greenness, yellowness, and blueness, average luminance, general contrast) of each of the two groups were derived to render a visualizable color composition template. This way, all the incoming food pictures taken by the user can be compared to the healthy and the unhealthy template. Instead of informing the user ‘You should take more protein.’, our App gives feedback like ‘Maybe you should try more RED.’ Our user experience assessment shows that users enjoy playing with such graphic interface and will potentially pay more attention to their daily diets.

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        Application of an image and environmental sensor network for automated greenhouse insect pest monitoring

        Dan Jeric Arcega Rustia,Chien Erh Lin,Jui-Yung Chung,Yi-Ji Zhuang,Ju-Chun Hsu,Ta-Te Lin 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.1

        This work presents an automated insect pest counting and environmental condition monitoring system using integrated camera modules and an embedded system as the sensor node in a wireless sensor network. The sensor node can be used to simultaneously acquire images of sticky paper traps and measure temperature, humidity, and light intensity levels in a greenhouse. An image processing algorithm was applied to automatically detect and count insect pests on an insect sticky trap with 93% average temporal detection accuracy compared with manual counting. The integrated monitoring system was implemented with multiple sensor nodes in a greenhouse and experiments were performed to test the system’s performance. Experimental results show that the automatic counting of the monitoring system is comparable with manual counting, and the insect pest count information can be continuously and effectively recorded. Information on insect pest concentrations were further analyzed temporally and spatially with environmental factors. Analyses of experimental data reveal that the normalized hourly increase in the insect pest count appears to be associated with the change in light intensity, temperature, and relative humidity. With the proposed system, laborious manual counting can be circumvented and timely assessment of insect pest and environmental information can be achieved. The system also offers an efficient tool for long-term insect pest behavior observations, as well as for practical applications in integrated pest management (IPM).

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      • KCI등재

        Analysis of Tau Protein Expression in Predicting Pathological Complete Response to Neoadjuvant Chemotherapy in Different Molecular Subtypes of Breast Cancer

        Chuqian Lei,Ciqiu Yang,Bin Xia,Fei Ji,Yi Zhang,Hongfei Gao,Qianqian Xiong,Yufeng Lin,Xiaosheng Zhuang,Liulu Zhang,Teng Zhu,Minyi Cheng,Mei Yang,Kun Wang 한국유방암학회 2020 Journal of breast cancer Vol.23 No.1

        Purpose: Tau is a microtubule-associated protein that can be found in both normal and abnormal breast cells. Whether the expression of Tau protein can predict the response to neoadjuvant chemotherapy (NACT) is still unclear. In this study, we assessed the role of Tau protein expression in predicting a pathological complete response (pCR) to NACT for different subtypes of breast cancer. Methods: Four hundred and sixty-eight eligible patients were retrospectively recruited in our study. The relationship between clinicopathologic factors, including Tau protein expression, and pCR in different subtypes was evaluated using logistic regression analysis. Correlation between Tau and disease-free survival (DFS) and overall survival (OS) was performed using Kaplan–Meier analysis. Results: The expression of Tau protein was negatively correlated with pCR, especially in triple-negative breast cancer (TNBC). No significant difference was observed in the luminal human epidermal growth factor receptor-2 (HER2)-negative subtype and HER2-positive subtype. Patients with pCR were associated with better DFS and OS (p < 0.05). However, Tau protein expression had no association with either DFS or OS (p > 0.05). Conclusion: Tau protein expression can predict pCR before NACT in TNBC, but there was no correlation between Tau expression and DFS or OS.

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