The purpose of this article is to develop a smart illuminated polymeric optical fibre (POF) chameleonic garment, using a wearable device technology for camouflage or safety…
Abstract
Purpose
The purpose of this article is to develop a smart illuminated polymeric optical fibre (POF) chameleonic garment, using a wearable device technology for camouflage or safety warnings based on user needs.
Design/methodology/approach
This study integrates the theory of the optical foundation, control system, wireless communication, program development and apparel design into a chameleonic garment, displaying some vests, bags and shoes.
Findings
After selecting a pixel in the photo taken by the smart phone, the four modes of the application developed in this study are used to change the POF colour of the garment.
Originality/value
This study develops four modes of smart phone application; picked mode: picks a pixel colour on a smart phone canvas, contrastive mode: transfers to contrastive colour of the picked pixel, customized mode – gives input colour number manual and random mode – it based on a system random number. When users have different functional requirements, the four modes provide various choices.
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It is important to monitor wrist four direction movements (flexion, extension, adduction and abduction) for hand healthcare, wrist rehabilitation and upper limb exercise, and so…
Abstract
Purpose
It is important to monitor wrist four direction movements (flexion, extension, adduction and abduction) for hand healthcare, wrist rehabilitation and upper limb exercise, and so on. The purpose of this study is to develop a quadri-directional optical bending sensor that integrated wearable device technology in a smart glove to detect wrist four direction movements.
Design/methodology/approach
The quadri-directional optical bending sensor was designed with a microcontroller board, a Bluetooth wireless module, a side-emitting polymeric optical fibre (POF), an infrared light emitting diode and four phototransistors. A linear equation was deduced to calculate bending angle from detecting sensor value of Arduino microcontroller. The bending angle values could be seen by the smartphone screen, so the system has a good human–machine interface function.
Findings
The light emission by macro-bending of the side-emitting POFs that the transmittance of the outer side is greater than the inner. The bending POFs lateral emission phenomenon integrated with phototransistors on the edge is suitable for the development of bending sensors.
Originality/value
This study is to develop a novel quadri-directional optical bending sensor to replace two bi-direction sensors or four uni-direction sensors for wrist four direction movements monitoring.
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Flexible hydrogenated amorphous silicon (a-Si:H) solar cells have many advantages, including lower weight, good flexibility and light sensitivity. Moreover, a-Si:H solar cells can…
Abstract
Purpose
Flexible hydrogenated amorphous silicon (a-Si:H) solar cells have many advantages, including lower weight, good flexibility and light sensitivity. Moreover, a-Si:H solar cells can be used as sensors, as indoor light sources and can also generate electricity. These solar cells are suitable for the design of portable systems and curved materials. The purpose of this study was to integrate flexible a-Si:H solar cells and wearable technology and to apply the dual functions of photovoltaics and photo sensors to smart clothing and eyewear.
Design/methodology/approach
The integration of flexible a-Si:H solar cells and tri-colour light-emitting diodes (LEDs) was used to develop smart auto-flashing clothing. In addition, we combined flexible a-Si:H solar cells and twisted nematic (TN) liquid crystal (LC) cells to design smart self-activation eyewear.
Findings
The maximum power resistance value of flexible a-Si:H solar cells was used to deduce the equation of solar cell voltage value generated by different percentages of SUN (100% SUN means 100 mW/cm2). A solar cell was used as a photo sensor that connects a resistor in a series to the Arduino to detect the voltage value, and then different percentages of SUN are calculated from the equation. Applying the deduced equation to the smart phone APP and Arduino code, we developed a human–machine interface (HMI) to facilitate user operation.
Originality/value
In this study, the flexible a-Si:H solar cell performs the function of not only photovoltaic power generation but also that of a photo sensor. The smart auto-flashing clothing is suitable for traffic guides, joggers and people engaging in other night activities. This smart self-activating eyewear can adjust to light and protect the eyes.
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This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/09556220810898872. When citing the…
Abstract
This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/09556220810898872. When citing the article, please cite: Miao-Tzu Lin, (2008), “The single-row machine layout problem in apparel manufacturing by hierarchical order-based genetic algorithm”, International Journal of Clothing Science and Technology, Vol. 20 Iss: 5, pp. 258 - 270.
Change of machine layout is often required for small quantity and diversified orders in the apparel manufacturing industry. The purpose of this paper is to use a hierarchical…
Abstract
Purpose
Change of machine layout is often required for small quantity and diversified orders in the apparel manufacturing industry. The purpose of this paper is to use a hierarchical order‐based genetic algorithm to quickly identify an optimal layout that effectively shortens the distance among cutting pieces, thereby reducing production costs.
Design/methodology/approach
The chromosomes of the hierarchical order‐based genetic algorithm consist of the control genes and the modular genes to acquire the parametric genes, a precedence matrix and a from‐to matrix to calculate the distance among cutting pieces.
Findings
The paper used a men's shirt manufacturing as an example for testing the results of a U‐shaped single‐row machine layout to quickly determine an optimal layout and improve effectiveness by approximately 21.4 percent.
Research limitations/implications
The manufacturing order is known. The machine layout is in a linear single‐row flow path. The machine layout of the sewing department is independently planned.
Originality/value
The advantage of the hierarchical order‐based genetic algorithm proposed is that it is able to make random and global searches to determine the optimal solution for multiple sites simultaneously and also to increase algorithm efficiency and shorten the distance among cutting pieces effectively according to manufacturing order and limited conditions.
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Examines the fifteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects…
Abstract
Examines the fifteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.
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Ting-Yu Lin, Ping-Teng Chang, Kuo-Ping Lin and Miao-Tzu Chen
This study is aimed to develop a novel intuitionistic fuzzy P-graph with Gaussian membership function to help decision-makers deal with complex process network systems.
Abstract
Purpose
This study is aimed to develop a novel intuitionistic fuzzy P-graph with Gaussian membership function to help decision-makers deal with complex process network systems.
Design/methodology/approach
Two fuzzy P-graph case studies of the cogeneration system were selected, and relevant data were collected, including the structure and flow sequence of the system, and the rate of material and product transitions between the operating units. Gaussian function membership was set according to the restriction of fuzzy upper and lower bounds. Then the α-cut was used to obtain different upper and lower bound restrictions of each membership degree. After finding the optimal and suboptimal solutions for different membership degrees, the results of non-membership and hesitation were calculated.
Findings
The proposed method will help the decision maker consider the risk and provide more feasible solutions to choose the optimal and suboptimal solutions based on their own or through experience. The proposed model in this study has more flexibility in operation and decision making.
Originality/value
This study is the first to propose a novel intuitive fuzzy P-graph and demonstrates the effectiveness and flexibility of the method by two case studies of the cogeneration system. However, the addition of hesitation can increase the error tolerance of the system. Even for the solutions with a high degree of membership, optimal and suboptimal solutions still exist for the decision maker to select. Since decision makers expect the higher achievement of the target requirements; thus, it is important to have more feasible solutions with a high degree of membership.