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Prof. Teng-Wen Chang
National Yunlin University of Science and Technology

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0 Architecture Design
0 Computational Design
0 Generative Design
0 User Experience Design
0 Design Process

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Design Process
Interaction Design & Technology
Computational Design
User Experience Design
Generative Design
Internet of Things - IoT

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Conference paper
Published: 03 July 2021 in Algorithms and Data Structures
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The relationship between books and their readers are intimacy and personal. The texts are firsthand resources for readers experience personal journey while reading, and their own unparalleled inspiration. The reflection after reading could be represented in diverse fashions, most of them were written using words as reviews. Visualization of the book experience is another presentation are used as the interpretation by designers that are often belonged to designers’ own collection. With these reflections, a single story allowed widening imaginaries and extended values. Sharing such unique presentation requires a unique setting. How to create and what are such interactive reading spaces, called Muse Space in a co-existing fashion in both physical bookshop and the collective drawing space associated with it is the problem this project wants to explore. Muse Space is comprised of three layers: physical environment, collective drawing space for visualization of book-inspired drawing and association and interactive tools for creating the book-inspired drawing are examined and analyzed in three research steps, namely (1) persona and journey map for contextual inquiry and requirement for physical and virtual spaces; (2) scenario planning for interactive behaviors of user centered installation design; and (3) information visualization for visual cue and feedback of collective drawing. Part of Muse Space’s system had displayed and been test by several kinds of target users, with their feedback we could identify that Muse Space creates opportunities for readers to learn more knowledges from not only books but also other readers feedbacks and how to emphasize independent bookstores’ superiorities with interactive tools.

ACS Style

Tao-Tao Yu; Teng Wen Chang. A Designer Embedded Book Space Experiment. Algorithms and Data Structures 2021, 661 -670.

AMA Style

Tao-Tao Yu, Teng Wen Chang. A Designer Embedded Book Space Experiment. Algorithms and Data Structures. 2021; ():661-670.

Chicago/Turabian Style

Tao-Tao Yu; Teng Wen Chang. 2021. "A Designer Embedded Book Space Experiment." Algorithms and Data Structures , no. : 661-670.

Conference paper
Published: 29 January 2021 in Proceedings of the 2020 DigitalFUTURES
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In the stage of prototype practice, the maker mainly works by himself, but it needs to test and adapt to find correct fabrication method when maker didn’t have clearly fabrication description. Therefore, rapid prototyping is very important in the prototype practice of the maker. “Design- Fabrication-Assembly” (DFA)- an integration prototyping process which helps designers in creating kinetic skin by following a holistic process. However, DFA lacks a medium for communication between design, fabrication and assembly status. This paper proposes a solution called co-existing Fabrication System (CoFabs) by combining multiple sensory components and visualization feedbacks. We combine mixed reality (MR) and the concept of digital twin (DT)–a device that uses a virtual interface to control a physical mechanism for fabrication and assembly. By integrating virtual and physical, CoFab allows designers using different methods of observation to prototype more rigorously and interactively correct design decisions in real-time.

ACS Style

Chun-Yen Chen; Teng-Wen Chang; Chi-Fu Hsiao. Developing a Digital Interactive Fabrication Process in Co-existing Environment. Proceedings of the 2020 DigitalFUTURES 2021, 27 -35.

AMA Style

Chun-Yen Chen, Teng-Wen Chang, Chi-Fu Hsiao. Developing a Digital Interactive Fabrication Process in Co-existing Environment. Proceedings of the 2020 DigitalFUTURES. 2021; ():27-35.

Chicago/Turabian Style

Chun-Yen Chen; Teng-Wen Chang; Chi-Fu Hsiao. 2021. "Developing a Digital Interactive Fabrication Process in Co-existing Environment." Proceedings of the 2020 DigitalFUTURES , no. : 27-35.

Journal article
Published: 25 September 2020 in Sensors
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User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), human-computer interfaces can be created through the mapping of user experiences. These applications can provide users with dynamic feedback on their energy consumption patterns in their built environment. The paper describes a “Sensible Energy System” (SENS) that is based on user experience design methods with sensor network technology. Through SENS, solar energy simulation is combined with device consumption data in order to achieve an IoT network to facilitate the interaction between user behaviors and electricity consumption. The interaction between users and devices through SENS can not only optimize power consumption, but also provide consumers with additional choice and dynamic decision making regarding their consumption. This article provides an (1) understanding and analysis of users’ spatial interaction, explains the (2) planning of the new smart environment design and user experiences, discusses (3) designing a suitable Wireless sensor network (WSN) agent and energy connection, describes (4) the information that has been collected, and (5) incorporates a rooftop solar potential simulation for predicting energy outputs into the sensor network model.

ACS Style

Teng-Wen Chang; Hsin-Yi Huang; Chung-Wen Hung; Sambit Datta; Terrance McMINN. A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces. Sensors 2020, 20, 5507 .

AMA Style

Teng-Wen Chang, Hsin-Yi Huang, Chung-Wen Hung, Sambit Datta, Terrance McMINN. A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces. Sensors. 2020; 20 (19):5507.

Chicago/Turabian Style

Teng-Wen Chang; Hsin-Yi Huang; Chung-Wen Hung; Sambit Datta; Terrance McMINN. 2020. "A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces." Sensors 20, no. 19: 5507.

Journal article
Published: 15 September 2020 in Education Sciences
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The motion infographic system combines the characteristics of continuous images and the simplification of information, which can make up for the disadvantages of content in static images, and may have the advantage of deepening the impression of infographics. As Taiwan’s elementary school resource classes (elementary school pupils with mild disabilities or learning challenges) do not yet have exclusive learning content, resource class teachers prepare their own teaching content, but they cannot integrate existing learning lists and network resources. Therefore, this study designed and developed a motion infographic system to assist with resource class learning. The theme of this motion infographic system uses a very rare natural phenomenon in Taiwan, the Arctic oscillation, which in early 2016 brought to Taiwan the lowest recorded temperature on the flat ground. The study analyzed the learning effectiveness of this system applied to resource classes through an experimental and control group. The final result shows that the motion infographic system was different from the original content used in the resource class. The improvement in the academic achievement and the grasp of the image shapes of the experimental group was better than the control group, which verified that the motion infographic system can improve learning outcomes in a resource class.

ACS Style

Shih-Ting Tsai; Hsin-Yi Huang; Teng-Wen Chang. Developing a Motion Infographic-Based Learning System for Effective Learning. Education Sciences 2020, 10, 247 .

AMA Style

Shih-Ting Tsai, Hsin-Yi Huang, Teng-Wen Chang. Developing a Motion Infographic-Based Learning System for Effective Learning. Education Sciences. 2020; 10 (9):247.

Chicago/Turabian Style

Shih-Ting Tsai; Hsin-Yi Huang; Teng-Wen Chang. 2020. "Developing a Motion Infographic-Based Learning System for Effective Learning." Education Sciences 10, no. 9: 247.

Chapter
Published: 03 September 2020 in Architectural Intelligence
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In the early stages of maker practice, there are many practical problems or design errors that need to be taken care of on their own. In order to lower the manufacturing threshold and obtain as much information on the relevant services as possible, makers sometimes try to simulate and test their works in digital ways before manufacturing them. However, after the process of digital simulation, the maker must hand over the design drawings to the manufacturing unit to develop the prototype. This materialization step requires a long period of time for the consultation, waiting, manufacturing, and adjustment phases. Thus, how to shorten and facilitate the timeline of the prototyping process has become a very important issue in the analysis of a maker’s design practice manufacturing workflow. This article advances a “seeing-moving-seeing” design thinking model that can help designers refine their ideas through observations, as they can directly see the result of their intuitive gestures and present their works with design media. This model, therefore, makes it easier for the makers to explain what they are thinking. In addition, through the model, they can further extend the possibilities of multiple production processes by designing, manufacturing, and integrating tools through the use of a robotic arm. The “seeing-moving-seeing” model proposes that there are three different aspects that respond to the temporary design prototyping process: human features, physical features, and robotic arm manufacturing. We simplify the communication of computing systems through an immersive visual interface and the rendering of real-time feedback, so that makers can focus upon their practice of implementing design ideas.

ACS Style

Teng-Wen Chang; Chi-Fu Hsiao; Chun-Yen Chen; Hsin-Yi Huang. CoFabs: An Interactive Fabrication Process Framework. Architectural Intelligence 2020, 271 -292.

AMA Style

Teng-Wen Chang, Chi-Fu Hsiao, Chun-Yen Chen, Hsin-Yi Huang. CoFabs: An Interactive Fabrication Process Framework. Architectural Intelligence. 2020; ():271-292.

Chicago/Turabian Style

Teng-Wen Chang; Chi-Fu Hsiao; Chun-Yen Chen; Hsin-Yi Huang. 2020. "CoFabs: An Interactive Fabrication Process Framework." Architectural Intelligence , no. : 271-292.

Journal article
Published: 20 July 2020 in Sensors and Materials
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ACS Style

Teng-Wen Chang; Yi-Sin Wu; Sambit Datta; Wei-Lung Mao. Developing Slow Sensor for Slow Design. Sensors and Materials 2020, 32, 2425 .

AMA Style

Teng-Wen Chang, Yi-Sin Wu, Sambit Datta, Wei-Lung Mao. Developing Slow Sensor for Slow Design. Sensors and Materials. 2020; 32 (7):2425.

Chicago/Turabian Style

Teng-Wen Chang; Yi-Sin Wu; Sambit Datta; Wei-Lung Mao. 2020. "Developing Slow Sensor for Slow Design." Sensors and Materials 32, no. 7: 2425.

Journal article
Published: 20 July 2020 in Sensors and Materials
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ACS Style

Chien-Chou Lin; Wei-Lung Mao; Teng-Wen Chang; Chuan-Yu Chang; Salah Sohaib Saleh Abdullah. Fast Obstacle Detection Using 3D-to-2D LiDAR Point Cloud Segmentation for Collision-free Path Planning. Sensors and Materials 2020, 32, 2365 .

AMA Style

Chien-Chou Lin, Wei-Lung Mao, Teng-Wen Chang, Chuan-Yu Chang, Salah Sohaib Saleh Abdullah. Fast Obstacle Detection Using 3D-to-2D LiDAR Point Cloud Segmentation for Collision-free Path Planning. Sensors and Materials. 2020; 32 (7):2365.

Chicago/Turabian Style

Chien-Chou Lin; Wei-Lung Mao; Teng-Wen Chang; Chuan-Yu Chang; Salah Sohaib Saleh Abdullah. 2020. "Fast Obstacle Detection Using 3D-to-2D LiDAR Point Cloud Segmentation for Collision-free Path Planning." Sensors and Materials 32, no. 7: 2365.

Journal article
Published: 20 July 2020 in Sensors and Materials
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ACS Style

Teng-Wen Chang; Chi-Fu Hsiao; Chun-Yen Chen; Wei-Xin Huang; Sambit Datta; Wei-Lung Mao. Fabricating Behavior Sensor Computing Approach for Coexisting Design Environment. Sensors and Materials 2020, 32, 2409 .

AMA Style

Teng-Wen Chang, Chi-Fu Hsiao, Chun-Yen Chen, Wei-Xin Huang, Sambit Datta, Wei-Lung Mao. Fabricating Behavior Sensor Computing Approach for Coexisting Design Environment. Sensors and Materials. 2020; 32 (7):2409.

Chicago/Turabian Style

Teng-Wen Chang; Chi-Fu Hsiao; Chun-Yen Chen; Wei-Xin Huang; Sambit Datta; Wei-Lung Mao. 2020. "Fabricating Behavior Sensor Computing Approach for Coexisting Design Environment." Sensors and Materials 32, no. 7: 2409.

Conference paper
Published: 10 July 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper focus on the interaction design of a slow play for the family members, including multi-player experiences, interaction methods, user interface and accomplishment and scarcity. The interface used by the family member’s side also affect the user’s willingness to continue using it. Through the user task interface tests and interviews to summarize the following design guidelines that can be used for slow play in game—(1) have the meaning and it can unlock the accomplishment, (2) collaboration with strategic and (3) the tempting collection of uncertainty can improve player stickiness and satisfaction. Finally, this research develops a board-type puzzle game into an alternative form of play, is called “blindside”.

ACS Style

Yi-Sin Wu; Teng-Wen Chang; Sambit Datta. Developing the Interaction for Family Reacting with Care to Elderly. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 200 -210.

AMA Style

Yi-Sin Wu, Teng-Wen Chang, Sambit Datta. Developing the Interaction for Family Reacting with Care to Elderly. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():200-210.

Chicago/Turabian Style

Yi-Sin Wu; Teng-Wen Chang; Sambit Datta. 2020. "Developing the Interaction for Family Reacting with Care to Elderly." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 200-210.

Conference paper
Published: 10 July 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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Usability testing is an important process in human-computer interaction and user experience design. It can help designers understand the difficult points of the user in the interaction process. Whether the interactive situation is correctly presented in the test process and whether the designer has correctly received the feedback from the subject will affect the accuracy of the test. With the rapid development of the IoT in recent years, more and more interactive designs are multimodal models. When performing traditional usability test, iterative design processes often take a lot of cost to fully present the interactive situation for the subject to experience. And because there are many kinds of adjustable elements, the subjects are also more complicated and time-consuming to communicate with the designer to describe the feelings. Therefore, this study takes the multi-object HiGame elderly interaction design as an example. Using MR technology combined with 3D printing in the coexistence environment to assist HiGame interactive design for user testing and iterative design. The virtual prototyping combined with some physical tactile methods gives the subject a more complete experience. With Hololens as the virtual body interactive medium, the subject can co-design with the designer in a dynamic feedback manner at the same time. To enable the elderly subject to achieve the highest efficiency, communicate with the designer in real time through dynamic feedback. At the same time, it helps designers reduce the time and cost required for the iterative design process of multi-object interactive testing.

ACS Style

Ji-Rong Rachel Lu; Teng-Wen Chang; Yi-Sin Wu; Chun-Yen Chen. Multimodal Coexistence Environment Design to Assist User Testing and Iterative Design of HiGame Emotional Interaction Design for Elderly. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 197 -209.

AMA Style

Ji-Rong Rachel Lu, Teng-Wen Chang, Yi-Sin Wu, Chun-Yen Chen. Multimodal Coexistence Environment Design to Assist User Testing and Iterative Design of HiGame Emotional Interaction Design for Elderly. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():197-209.

Chicago/Turabian Style

Ji-Rong Rachel Lu; Teng-Wen Chang; Yi-Sin Wu; Chun-Yen Chen. 2020. "Multimodal Coexistence Environment Design to Assist User Testing and Iterative Design of HiGame Emotional Interaction Design for Elderly." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 197-209.

Conference paper
Published: 10 July 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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Under the rigid regulation of Chinese 985-Project sponsored university entrance exam for 2.09% in 2018, the new generation of Chinese teenagers usually have to leave their province to another city which is thousand miles away from home. This means that these young adults have to leave familiar family support network and deal with homesickness earlier than other countries. Such lonely experience will affect these young adults who usually grew up as the middle class in the modern Chinese society. Friendship is the only support these young adults will get. And the hug from friends are their most missed interactions. Our research intends to develop an interactive device that can transfer their experience into a supporting comfort system that can provide warm awareness and inter-personal relationship. This paper reports our pilot study: an eMotional Supporting Awareness system (AMISA) as a haptic affect support system that supports affective communication with friends over long-distance. The approach of this study is user centered design, through user interviews and literature reviews, we defined the user requirements and found corresponding technology in HCI to prototype the conceptual design. We developed AMISA from three dimensions: (1) affective analysis; (2) mediated social touch; (3) user experience. Subsequently, we conducted a user evaluation of the prototype, AMISA is used as a data collector to observe user interactions for iterating subsequent design outcomes.

ACS Style

Yuanyuan Bian; Teng-Wen Chang. AMISA: A Pilot Study of an Emotional Supporting Device Between Friends Over Long-Distance. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 471 -482.

AMA Style

Yuanyuan Bian, Teng-Wen Chang. AMISA: A Pilot Study of an Emotional Supporting Device Between Friends Over Long-Distance. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():471-482.

Chicago/Turabian Style

Yuanyuan Bian; Teng-Wen Chang. 2020. "AMISA: A Pilot Study of an Emotional Supporting Device Between Friends Over Long-Distance." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 471-482.

Conference paper
Published: 01 January 2020 in Journal of Physics: Conference Series
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This paper proposes a simple Convolutional Neural Network (CNN) program to classify epileptic seizure. The diagnosis of epileptic seizure involves the identification and different characteristic of the Electroencephalography (EEG) signal. As such, it needs a method for identifying and classifying epileptic seizure. Deep learning is part of a neural network that has the ability and pattern to identify and classify epileptic seizure. CNN has been demonstrated high performance on image classification and pattern detection. In this paper, we combine the continuous wavelet transform (CWT) and CNN to classify epileptic seizure. This experiment uses the wavelet transform to convert signal data of EEG to time-frequency domain images. The output of the wavelet transform is an image that will classify into five attributes. In this experiment, we develop a simple program that will compare with other CNN approach (AlexNet and GoogleNet). The results of this experiment are two kinds of data, accuracy, and loss. The resulting accuracy is 72.49%, and the loss is 0.576. This result has a better learning time than GoogleNet and smaller loss result than AlexNet.

ACS Style

W-L Mao; H I K Fathurrahman; Y Lee; Teng-Wen Chang. EEG dataset classification using CNN method. Journal of Physics: Conference Series 2020, 1456, 012017 .

AMA Style

W-L Mao, H I K Fathurrahman, Y Lee, Teng-Wen Chang. EEG dataset classification using CNN method. Journal of Physics: Conference Series. 2020; 1456 (1):012017.

Chicago/Turabian Style

W-L Mao; H I K Fathurrahman; Y Lee; Teng-Wen Chang. 2020. "EEG dataset classification using CNN method." Journal of Physics: Conference Series 1456, no. 1: 012017.

Conference paper
Published: 05 July 2019 in Proceedings of the 2019 DigitalFUTURES
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In generally situation, maker will using the prototyping to solve their problem and mistake. However, if they need to try the digital fabrication to complete their deign, it will be embarrassment. Because they need to spend more time to communicate with the manufacturing how to complete the design. In this paper we use the “seeing-moving-seeing” model to combine the design tools and reduce the problem of communicate with other people. By using this method we can more easier to understand the different of the finish product and prototyping. Using the robot arm to combine the design, manufacturing and fabrication tool it can increase the digital fabrication’s special value. Finally, our research will using design computing connecting the digital interface and the machine to communicate.

ACS Style

Chun-Yen Chen; Teng-Wen Chang; Chi-Fu Hsiao; Hsin-Yi Huang. Developing an Interactive Fabrication Process of Maker Based on “Seeing-Moving-Seeing” Model. Proceedings of the 2019 DigitalFUTURES 2019, 312 -321.

AMA Style

Chun-Yen Chen, Teng-Wen Chang, Chi-Fu Hsiao, Hsin-Yi Huang. Developing an Interactive Fabrication Process of Maker Based on “Seeing-Moving-Seeing” Model. Proceedings of the 2019 DigitalFUTURES. 2019; ():312-321.

Chicago/Turabian Style

Chun-Yen Chen; Teng-Wen Chang; Chi-Fu Hsiao; Hsin-Yi Huang. 2019. "Developing an Interactive Fabrication Process of Maker Based on “Seeing-Moving-Seeing” Model." Proceedings of the 2019 DigitalFUTURES , no. : 312-321.

Conference paper
Published: 01 July 2019 in 2019 23rd International Conference in Information Visualization – Part II
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Interactive surface integrates geometry, structure, materials and electronic subsystems that requires innovative design methods and processes. Additionally, with the development of information technology and smart materials, these surfaces require tailor-made constructive process (in both fabrication and assembly stages) in order to testify the prototype proposed. Along with design, a prototyping framework called DFA is defined and a visual system called ViDA (VIsual system of DfA) for enhancing the experimental process in proposed in this paper. Five experiments are conducted and two cases are described in details for ViDA.

ACS Style

Tsai-Ling Hsieh; Teng-Wen Chang. ViDA: A Visual System of DFA Process for Interactive Surface. 2019 23rd International Conference in Information Visualization – Part II 2019, 68 -73.

AMA Style

Tsai-Ling Hsieh, Teng-Wen Chang. ViDA: A Visual System of DFA Process for Interactive Surface. 2019 23rd International Conference in Information Visualization – Part II. 2019; ():68-73.

Chicago/Turabian Style

Tsai-Ling Hsieh; Teng-Wen Chang. 2019. "ViDA: A Visual System of DFA Process for Interactive Surface." 2019 23rd International Conference in Information Visualization – Part II , no. : 68-73.

Review
Published: 15 April 2019 in Buildings
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Responsive architecture comprises the creation of buildings or structural elements of buildings that adapt in response to external stimuli or internal conditions. The responsiveness of such structures rests on addressing constraints from multiple domains of expertise. The dynamic integration of geometric, structural, material and electronic subsystems requires innovative design methods and processes. This paper reports on the design and fabrication of a responsive carrier component envelope (RCCE) that responds by changing shape through kinetic motion. The design of the RCCE is based on geometry and structure of carrier surfaces populated with a kinetic structural component that responds to external stimuli. We extend earlier prototypes to design a modular, component-driven bottom-up system assembly exploring full-scale material and electronic subsystems for the expansion and retraction of a symmetric polar array based on the Hobermann sphere. We test the kinetic responsiveness of the RCCE with material constraints and simulate responses by connecting the adaptive components with programmable input and behavior. Finally, a concrete situation from practice is presented where 16 fully-functional components of the adaptive component are assembled and tested as part of an interactive public placemaking installation at the Shenzhen MakerFaire Exhibition. The RCCE experimental prototype provides new results on the design and construction of an adaptive assembly in system design and planning, choice of fabrication and assembly methods and incorporation of dynamic forms. This paper concludes that the design and assembly of an adaptive structural component based on RCCE presents results for designing sensitive, creative, adaptable and sustainable architecture.

ACS Style

Teng-Wen Chang; Hsin-Yi Huang; Sambit Datta. Design and Fabrication of a Responsive Carrier Component Envelope. Buildings 2019, 9, 84 .

AMA Style

Teng-Wen Chang, Hsin-Yi Huang, Sambit Datta. Design and Fabrication of a Responsive Carrier Component Envelope. Buildings. 2019; 9 (4):84.

Chicago/Turabian Style

Teng-Wen Chang; Hsin-Yi Huang; Sambit Datta. 2019. "Design and Fabrication of a Responsive Carrier Component Envelope." Buildings 9, no. 4: 84.

Technical paper
Published: 02 April 2019 in Microsystem Technologies
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Recently, nonlinear system identification has received increasingly more attention due to its promising applications in engineering fields. It has become a challenging task to truly apply this system due to many complex factors especially the nonlinear and dynamical properties. The objective of this paper is to design a nonlinear system identification method using an appropriate learning method. This paper proposes a biogeography-based optimization (BBO)-based multilayer perceptron (MLP) architecture for nonlinear system identification. The BBO algorithm with its habitats imitates the species migration between them. A good solution is featured by an island with a higher High Suitability Index (HSI), and a poor solution by an island with a lower HSI. Higher HSI solutions resist change more effectively than lower HSI solutions. By combining the two schemes, the proposed MLP architecture with BBO learning provides a promising scheme for nonlinear system identification. Three kinds of nonlinear system are adopted for experimental verification, including Mackey–Glass series, Henon system, and nonlinear plant system. Mean squared error (MSE) index is used to calculate the difference between the measured input and output of the systems. By employing the nonlinear cases, the proposed algorithm presents rapid convergence and excellent MSE in nonlinear system identification.

ACS Style

Wei Lung Mao; Suprapto Suprapto; Chung Wen Hung; Teng-Wen Chang. Nonlinear system identification using BBO-based multilayer perceptron network method. Microsystem Technologies 2019, 27, 1497 -1506.

AMA Style

Wei Lung Mao, Suprapto Suprapto, Chung Wen Hung, Teng-Wen Chang. Nonlinear system identification using BBO-based multilayer perceptron network method. Microsystem Technologies. 2019; 27 (4):1497-1506.

Chicago/Turabian Style

Wei Lung Mao; Suprapto Suprapto; Chung Wen Hung; Teng-Wen Chang. 2019. "Nonlinear system identification using BBO-based multilayer perceptron network method." Microsystem Technologies 27, no. 4: 1497-1506.

Journal article
Published: 15 February 2019 in The Design Journal
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ACS Style

Yuan-Bang Cheng; Teng-Wen Chang; Chuan-Kai Yang. Generation of Design Ideas using EDOS-Touch. The Design Journal 2019, 22, 169 -190.

AMA Style

Yuan-Bang Cheng, Teng-Wen Chang, Chuan-Kai Yang. Generation of Design Ideas using EDOS-Touch. The Design Journal. 2019; 22 (2):169-190.

Chicago/Turabian Style

Yuan-Bang Cheng; Teng-Wen Chang; Chuan-Kai Yang. 2019. "Generation of Design Ideas using EDOS-Touch." The Design Journal 22, no. 2: 169-190.

Article
Published: 13 December 2018 in Multimedia Tools and Applications
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In spite of the existence of numerous navigation tools/systems, Google Street View, offering only a single static image at a time, is still sometimes preferred for the provision of a realistic scene. However, for the sake of navigation, given the starting and ending locations, a navigation video consisting of images obtained from Google Street View service is desired. Several papers have tried to address this issue in some sense; however, there is still much room for further improvement. First, the generation of navigation video is not very smooth, i.e., the transition from one frame to another frame is not properly controlled, thus resulting a potential abrupt change from one scene toward another. Second, the generated video oftentimes contains many undesired vehicles and people, and the removal of these distracting objects would greatly enhance the quality of the navigational video. In this paper, we first make use of HOG and/or Haar features for detecting vehicles and people, and then we have also made some preliminary trials of using Faster R-CNN and Caffe to speed up detecting vehicles and people. Results are demonstrated to prove the effectiveness of our approaches and compared with similar approaches when applicable to show our improvement. In addition, a post-processing tool is also developed to interactively refine the results in case the automatic object detection is not perfect.

ACS Style

Yuan-Bang Cheng; Chuan-Kai Yang; Guan-Chung Chang; Teng-Wen Chang. Automatic generation of video navigation from Google Street View data with car detection and inpainting. Multimedia Tools and Applications 2018, 78, 16129 -16158.

AMA Style

Yuan-Bang Cheng, Chuan-Kai Yang, Guan-Chung Chang, Teng-Wen Chang. Automatic generation of video navigation from Google Street View data with car detection and inpainting. Multimedia Tools and Applications. 2018; 78 (12):16129-16158.

Chicago/Turabian Style

Yuan-Bang Cheng; Chuan-Kai Yang; Guan-Chung Chang; Teng-Wen Chang. 2018. "Automatic generation of video navigation from Google Street View data with car detection and inpainting." Multimedia Tools and Applications 78, no. 12: 16129-16158.

Conference paper
Published: 01 July 2018 in 2018 22nd International Conference Information Visualisation (IV)
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At the stage of creative thinking, many designers often produce many design strategies, but as the number increases, many implied information may be lost in the process of convergence. We think through creative thinking that design thinking can be coded, as well as the nodes that define the convergence path, we can find the hidden and unfocused hidden points. Through the display of paths, designers can repeatedly review the design strategies of each stage. This preliminary exploration shows the development and positioning of future auxiliary tools.

ACS Style

Yi-Sin Wu; Teng-Wen Chang. Encoding the Convergent Path of Cross-Disciplinary Team. 2018 22nd International Conference Information Visualisation (IV) 2018, 438 -441.

AMA Style

Yi-Sin Wu, Teng-Wen Chang. Encoding the Convergent Path of Cross-Disciplinary Team. 2018 22nd International Conference Information Visualisation (IV). 2018; ():438-441.

Chicago/Turabian Style

Yi-Sin Wu; Teng-Wen Chang. 2018. "Encoding the Convergent Path of Cross-Disciplinary Team." 2018 22nd International Conference Information Visualisation (IV) , no. : 438-441.

Conference paper
Published: 01 July 2018 in 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)
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Nowadays, ontologies become more and more important as a tool to organize and structure information, and they are considered powerful strategies for designing more easy and precise to use information searching. Ontology visualizations can help in this regard by supporting in the exploration and verification of ontologies.[1] In this research, we decide to build the ontology of WOCAD publications-authors relational database, and further visualize it with VOWL. We build a web system that users can choose which classes of the WOCAD ontology they want to focus on. Graph visualizations are useful only up to a specific graph size, at which point the overview is lost and the graph is difficult to use.[2] With this system, members of CAADRIA who is less familiar with ontologies can understand the WOCAD ontology context quickly. It helps WOCAD ontology user takes less time to learn the knowledge about ontology theory.

ACS Style

Syu-Hong Huang; Teng-Wen Chang. Discovering Co-Author Relationship In Wocad Data Using Ontology Visualization. 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) 2018, 214 -216.

AMA Style

Syu-Hong Huang, Teng-Wen Chang. Discovering Co-Author Relationship In Wocad Data Using Ontology Visualization. 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII). 2018; ():214-216.

Chicago/Turabian Style

Syu-Hong Huang; Teng-Wen Chang. 2018. "Discovering Co-Author Relationship In Wocad Data Using Ontology Visualization." 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) , no. : 214-216.