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        Health benefits of evidence-based biophilic-designed environments: A review

        Shih-Han Hung,Chun-Yen Chang 인간식물환경학회 2021 인간식물환경학회지 Vol.24 No.1

        Background and objective: People-nature experiences, which suggest that humans seek connections between nature and other forms of life, were presented by biologist E. O. Wilson in 1984. Biophilic design attributes support environments that can improve human connections to nature. A significant amount of literature on environmental psychology provides empirical evidence that nature benefits humans, and that practical landscape and built environments can be designed to link humans and nature (e.g., the 14 biophilic design patterns). To date, however, there has been no well-done research on reviewing the health benefits of biophilic design. Methods: The paper provides a narrative review on biophilic design and human health. The scope of this article is limited to biophilic-design books and peer-review articles related to “biophilic design,” “evidence-based,” “benefits,” “health,” rather than an attempt to identify universal issues with biophilia hypothesis. Results: A total of 45 papers were included in our review, which was related to the top five biophilic design patterns and design: the presence of natural images, the presence of plants, visual and non-visual connections to nature, and material connection with nature. These studies were related to physiology and psychology through direct or indirect connections with nature and experiences in space and place. Conclusion: This study presents two important comparisons of the empirical research on biophilic design and human health that can explain the relationship of people-nature experiences to biophilic design and human health and provides insights into related researches and recommendations for future application of our findings.

      • Grey Neural Network-Based Forecasting System for Vision-Guided Robot Trajectory Tracking

        Shih-Hung Yang,Chung-Hsien Chou,Chen-Fang Chung,Wen-Pang Pai,Tse-Han Liu,Yung-Sheng Chang,Jung-Che Li,Huan-Chan Ting,Yon-Ping Chen 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10

        This paper presents a grey neural network-based forecasting system (GNNFS) in solving the prediction problem. GNNFS adopts a grey model to predict the signal and a neural network (NN) to forecast the prediction error of the grey model. A sequential batch learning (SBL) is developed to adjust the weights of the NN. The proposed GNNFS is applied to a binocular robot, called an Eye-Robot, for human-robot interaction which involved predicting the trajectory of a participant’s hand and tracking the hand. By applying the SBL, the GNNFS can gradually learn to predict the trajectory of the hand and track it well. The experimental results show that the GNNFS can carry out the SBL in real-time for vision-guided robot trajectory tracking.

      • KCI등재

        Where Are Landscape Designers' Spatial Abilities in the Brain? An fMRI Study

        Shih-Han Hung,Chia-Yi Huang,Tsung-Ren Huang,Shih-An Tang,Yu-Ping Tsai,Chun-YenChang 인간식물환경학회 2023 인간식물환경학회지 Vol.26 No.5

        Background and objective: To effectively understand and communicate their work, landscape designers should possessexcellent spatial abilities. Neurological methods have confirmed that activation of the occipital lobe, parietal cortex, andprefrontal cortex affect the judgment of space; however, few studies have measured spatial abilities in landscape design. This study aimed to identify the potential role of various brain regions during spatial interpretation processes by landscapedesigners, particularly the effect of stimulating the frontal lobe on enhancing design capabilities. Methods: This study tested the spatial abilities of landscape designers when transforming a planar drawing into a sectionaldrawing and the brain regions activated in this process. The subjects were asked to identify the correct option whenmatching given section lines in a planar drawing. The correct answer rate and response time were used to score brainactivation during spatial task processes. A total of 16 valid subjects were divided into high- and low-accuracy groupsaccording to the correct answer rate. Results: The results for the high-accuracy group showed that the left inferior frontal gyrus was activated during spatialdesign tasks. In contrast, the findings for the low-accuracy group revealed that the left middle occipital gyrus was activatedfor processing visual information. Conclusion: The findings suggest that the frontal lobe plays a role in allowing landscape designers to make planar tocross-sectional inferences via mental rotations and categorical spatial relations. The findings offer implications forlandscape designers in stimulating the frontal lobe and enhancing their design capabilities.

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        Bidirectional Hybrid DWDM-PON for HDTV/Gigabit Ethernet/CATV Applications

        Hai-Han Lu,Wen-Shing Tsai,Tzu-Shen Chien,Shih-Hung Chen,Yu-Chieh Chi,Che-Wei Liao 한국전자통신연구원 2007 ETRI Journal Vol.29 No.2

        A new scheme for bi-directional HDTV/Gigabit Ethernet/CATV transmission over a hybrid densewavelength- division-multiplexing passive optical network (DWDM-PON) is proposed and demonstrated. It is based on injection-locked vertical-cavity surface-emitting lasers and distributed-feedback laser diodes as transmitters. Services with 129 HDTV channels, a 1.25 Gbps Gigabit Ethernet connection, and 77 CATV channels are successfully demonstrated over 40 km single-mode fiber links. Good performance of bit error rate, carrier-to-noise ratio, composite second order, and composite triple beat is achieved in our proposed bidirectional DWDM-PON.

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