• 대한산업공학회지
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• 제34권3호
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• pp.270-288
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• 2008

Among various environmental issues, those for worn-out products are increasingly important due to rapid development and improvement of products, shortages of dumping sites and waste-incineration facilities, and legislation pressures and customer recognitions to protect the environment. Under such circumstances, collection and product recovery activities give rise to additional material flows from customers back to collectors and reprocessors. Reverse logistics, the opposite direction of the conventional forward logistics, is concerned with the management of this material flow. In this paper, we consider the emerging concept of reverse logistics. First, the concept of sustainable development is explained to explain the philosophical background of various environmental issues. Second, we explain the basics of reverse logistics, which includes the overall structure and the classification of network types. Finally, we review the previous research articles, especially in the aspect of industrial engineering, after classifying the decision problems into : (a) product recovery strategy; (b) network design and operation; (c) inventory management; (d) disassembly problems; and (e) remanufacturing problems.

• 복식문화연구
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• 제16권6호
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• pp.1064-1075
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• 2008

The purpose of this study is to grasp the change of modern space concept and analyze how to adopt and embody the change in modern fashion. The study researched wearer's costume space and analyzed space shown in supermodern fashion design by classifying it into response to non-space, allowance of wearer-based space, scientific space of architectural skill and embodiment of space image. As a study method, literature and study material of sociology, anthropology, fashion sociology and design field were referred. For picture data of supermodern fashion work, specialized book, designer, brand collection material and internet site pictures were collected and analyzed. The study result shows the following features of fashion design space embodiment corresponding to the change of supermodern environment. First, supermodern design secures closet space like pocket for portable objects and uses design space in order to provide the space for convenience of movement. Second, supermodern design creates wearer-based independent space in order to secure person's physical and mental stability in city environment. Third, supermodern design uses space scientifically from the aspect of detail and shape by applying space of architectural skill to space. Fourth, supermodern design shows aesthetic feature that embodies interpretation of space by conceptualizing space image and using fashion.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.160.1-160.1
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• 2014

Using a density functional theory calculation including van der Waals (vdW) corrections, we report that $H_2$ adsorption in a cubic-crystalline microporous metal-organic framework (MOF-5) leads to volume shrinkage, which is in contrast to the intuition that gas adsorption in a confined system (e.g., pores in a material) increases the internal pressure and then leads to volumetric expansion. This extraordinary phenomenon is closely related to the vdW interactions between MOF and $H_2$ along with the $H_2$-$H_2$ interaction, rather than the Madelung-type electrostatic interaction. At low temperatures, $H_2$ molecules adsorbed in the MOF-5 form highly symmetrical interlinked nanocages that change from a cube-like shape to a sphere-like shape with $H_2$ loading, helping to exert centrosymmetric forces and hydrostatic (volumetric) stresses from the collection of dispersive interactions. The generated internal negative stress is sufficient to overcome the stiffness of the MOF-5 which is a soft material with a low bulk modulus (15.54 GPa).

• 복식문화연구
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• 제19권1호
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• pp.119-127
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• 2011

This purpose of this study was to analyze the formation and look into design characteristics by types and method of expression on multifunctional eco-friendly fashion design. Total 191 pieces of multifunctional fashion design photographs were collected through fashion collection from 2000 S/S to S/S 2010 F/W on the website. First, the characteristics of multifunctional eco-friendly fashion design used squared silhouette, achromatic colors, plain patterns for pollution control, hard materials to prolong the product, it was clear that details were minimized to save resources. Second, there were 5 changeable types of multifunctional eco-friendly fashion design which were changes in changing forms, material changes, item changes, detail changes and complex changes. Third, as the result of changeable types by method of expression, the changing forms were expressed by removable, material changes by reversible, detail changes by open and close and item changes by shifting. Forth, the formative properties of multifunctional eco-friendly fashion design had flexibility, multifunction, versatility and amusing. Therefore, this study will be helpful in planning multifunctional eco-friendly fashion design according to the kind of formative characteristics, changeable types, method of expression and provide concrete fundamental materials for the expert in clothing on the base of objective data through statistical analysis.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
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• pp.388-391
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• 2003

The properties of these detectors can be controlled by electronics and exposure conditions. Flat-panel detectors for digital diagnostic imaging convert incident x-ray images to charge images. Flat panel detectors gain more interest real time medical x-ray imaging. Active area of flat panel detector is $14{\times}17$ inch. Detector is based on a $2560{\times}3072$ away of photoconductor and TFT pixels. X-ray conversion layer is deposited upper TFT array flat panel with a 500m by thermal deposition technology. Thickness uniformity of this layer is made of thickness control technology(5%) of thermal deposition system. Each $139m{\times}139m$ pixel is made of thin film transistor technology, a storage capacitor and charge collection electrode having geometrical fill factor of 86%. Using the separate driving system of two dimensional mosaic modules for large area, that is able to 4.2 second per frame. Imaging performance is suited for digital radiography imaging substitute by conventional radiography film system..

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2005년도 하계학술대회 논문집 Vol.6
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• pp.601-602
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• 2005

In the cold and temperate regions of Korea the icing and ice coats on 25 kV overhead contact wire during winter is a very serious problem. This generates shocks at the mechanical interface of the collecting strips of the pantograph and the contact wire and extra electrical resistance, which may affect quality of current collection at the contact wire / collecting strips of pantograph interface. De-icing operations should be performed just before train operation to avoid the formation of another ice layer. This paper presents temperature analysis of the de-icing system which could be applied to the overhead contact wire of railways.

• 소성∙가공
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• 제31권4호
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• pp.229-239
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• 2022

Convolution Neural Network(CNN) is a class of deep learning algorithms and can be used for image analysis. In particular, it has excellent performance in finding the pattern of images. Therefore, CNN is commonly applied for recognizing, learning and classifying images. In this study, the surface defect classification performance of Al 6061 extruded material using CNN-based algorithms were compared and evaluated. First, the data collection criteria were suggested and a total of 2,024 datasets were prepared. And they were randomly classified into 1,417 learning data and 607 evaluation data. After that, the size and quality of the training data set were improved using data augmentation techniques to increase the performance of deep learning. The CNN-based algorithms used in this study were VGGNet-16, VGGNet-19, ResNet-50 and DenseNet-121. The evaluation of the defect classification performance was made by comparing the accuracy, loss, and learning speed using verification data. The DenseNet-121 algorithm showed better performance than other algorithms with an accuracy of 99.13% and a loss value of 0.037. This was due to the structural characteristics of the DenseNet model, and the information loss was reduced by acquiring information from all previous layers for image identification in this algorithm. Based on the above results, the possibility of machine vision application of CNN-based model for the surface defect classification of Al extruded materials was also discussed.

• 한국전기전자재료학회논문지
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• 제35권5호
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• pp.509-515
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• 2022

As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.

• 한국전기전자재료학회논문지
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• 제35권2호
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• pp.155-159
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• 2022

Smart livestock, which combines information and communication technology (ICT) with livestock, can be said to be an effective solution to existing livestock problems such as productivity improvement, odors, and diseases. So far, it has hardly been universalized; thus, it is necessary to develop automation devices to reduce labor by localizing automation devices to expand the distribution of ICT technology to farms, and to advance precise specifications and health management technology using biometric information. Weighing scales currently being used in livestock farms are to prevent the spread of diseases by diagnosis and preparation for AI and other diseases in advance, using information on the growing weight of duck breeding. However, accurate values cannot be obtained due to poor breeding conditions. In this paper, we developed a separate data transmission system kit for the weighing scale and placed the sensor on top of the weighing scale so that the sensor wire is not affected by pollutants or ducks on the floor. A display function was provided, and a method of receiving and analyzing the serial port data of the weighing device, and then transmitting them to the data collection server was implemented.

• Ocean Systems Engineering
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• 제12권3호
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• pp.359-384
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• 2022

We develop in this work a new well-balanced preserving-positivity path-conservative central-upwind scheme for Saint-Venant-Exner (SVE) model. The SVE system (SVEs) under some considerations, is a nonconservative hyperbolic system of nonlinear partial differential equations. This model is widely used in coastal engineering to simulate the interaction of fluid flow with sediment beds. It is well known that SVEs requires a robust treatment of nonconservative terms. Some efficient numerical schemes have been proposed to overcome the difficulties related to these terms. However, the main drawbacks of these schemes are what follows: (i) Lack of robustness, (ii) Generation of non-physical diffusions, (iii) Presence of instabilities within numerical solutions. This collection of drawbacks weakens the efficiency of most numerical methods proposed in the literature. To overcome these drawbacks a reformulation of the central-upwind scheme for SVEs (CU-SVEs for short) in a path-conservative version is presented in this work. We first develop a finite-volume method of the first order and then extend it to the second order via the averaging essentially non oscillatory (AENO) framework. Our numerical approach is shown to be well-balanced positivity-preserving and shock-capturing. The resulting scheme could be seen as a predictor-corrector method. The accuracy and robustness of the proposed scheme are assessed through a carefully selected suite of tests.