• Journal of Korean Academy of Nursing
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• v.34 no.1
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• pp.5-14
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• 2004

Purpose: The purpose of this study was to explore adjustment pattern of illness process of people with hemophilia in Korea. Method: 23 people with hemophilia had participated for this study. The data were collected through in-depth interviews and analyzed using Strauss & Corbin's grounded theory method. Results: 'would be free from' was emerged as a core category and it reflects that all participants wanted to be free from the constraints of the disease. The adjustment process was categorized into two stage, the ‘unstable stage’ and the ‘stable stage’. In the process of 'would be free from' four different patterns were identified: hopelessness type; appreciation type; challenge type; and transcendence type. These types were identified based on the degree of pursuing normal life and managing the disease, and social support. The most frequently occurring type was hopelessness type but the participants of this type suffered the most. The transcendence type was the most ideal type, but it occurred the least. Conclusion: The results of this study indicate that people with hemophilia in Korea still suffer from the disease and they need supports. The results would be useful for health care professionals in establishing education and counseling program for the people with hemophilia.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.3
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• pp.181-187
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• 2014

Micro patterns are used to maximize the performance and efficiency of the product in many industries such as energy, display, printing, biology, etc. Nowadays, the fabrication technology for micro patterns has been developed in various ways such as photolithography, laser machining, electrical discharge machining and mechanical machining. Recently, mechanical machining the size of smaller than 1 micrometer could be tried, because the technology related to the machining was developed brilliantly. This paper shows the experiments using cutting processes in order to fabricate the micro pattern. Micro patterns of the size of several micrometers were machined by the diamond tools of two different shape, the deformation and generation of burr were investigated.

• Korean Journal of Optics and Photonics
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• v.16 no.2
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• pp.113-120
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• 2005

Luminous efficiency and uniformity in a LCD-BLU are mainly determined by fine scattering patterns formed on the light guide panel. We propose a novel fabrication method of 3-dimensional scattered patterns based on anisotropic etching of silicon wafers. Micro-pyramid patterns with 70.5 degree apex-angle and micro-prism patterns with 109.4 degree apex-angle can be self-constructed by the wet, anisotropic etching of (100) and (110) silicon wafers, respectively, and those patterns are easily duplicated by the PDMS replica process. Experimental results on spatial and angular distributions of irradiation from the light guide panel with the micro-pyramid patterns were very consistent with the calculation results. Surface roughness of the silicon-based micro-patterns is free from any artificial defects since the micro-patterns are inherently formed with silicon crystal surfaces. Therefore, we expect that the silicon based micro-patterning process makes it possible to fabricate perfect 3-dimensional micro-structures with crystal surface and apex angles, which may guarantee mass-reproduction of the light guide panels in LCD-BLU.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.10a
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• pp.671-672
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• 2009

• Korean Journal of Computational Design and Engineering
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• v.3 no.4
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• pp.223-235
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• 1998

A dedicated CAM(Computer-Aided Manufacturing) system has been developed, which generated tool-path to machine Styrofoam stamping die-patterns in Chrysler Corporation. A previous process to build die-patterns was to "stick build" the pattern, in which stock is cut & glued together, and then the NC machining of part-surface shape completes building a Styrofoam die-pattern. The current process utilizes the developed CAM system, and almost removes the manual work, consequently reduces the overall lead time. The paper presents the overall system structures, tool-path generation, and some features of Styrofoam pattern machining.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.1-12
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• 2023

To make semiconductor chips, a number of complex semiconductor manufacturing processes are required. Semiconductor chips that have undergone complex processes are subjected to EDS(Electrical Die Sorting) tests to check product quality, and a wafer bin map reflecting the information about the normal and defective chips is created. Defective chips found in the wafer bin map form various patterns, which are called defective patterns, and the defective patterns are a very important clue in determining the cause of defects in the process and design of semiconductors. Therefore, it is desired to automatically and quickly detect defective patterns in the field, and various methods have been proposed to detect defective patterns. Existing methods have considered simple, complex, and new defect patterns, but they had the disadvantage of being unable to provide field engineers the evidence of classification results through deep learning. It is necessary to supplement this and provide detailed information on the size, location, and patterns of the defects. In this paper, we propose an anomaly detection framework that can be explained through FCDD(Fully Convolutional Data Description) trained only with normal data to provide field engineers with details such as detection results of abnormal defect patterns, defect size, and location of defect patterns on wafer bin map. The results are analyzed using open dataset, providing prominent results of the proposed anomaly detection framework.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.399-406
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• 2013

Recently, studies about process mining for creating and analyzing business process models from log data have received much attention from BPM (Business Process Management) researchers. Process mining is a kind of method that extracts meaningful information and hidden rules from the event log of enterprise information systems such as ERP and BPM. In this paper, repair processes of electronic devices are analyzed using ProM which is a process mining tool. And based on the analysis of repair processes, the method for finding major failure patterns is proposed by multi-dimensional data analysis beyond simple statistics. By using the proposed method, the reliability of electronic device can be increased by providing the identified failure patterns to design team.

• Korean Journal of Human Ecology
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• v.15 no.2
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• pp.303-316
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• 2006

The present study deals with developing a new modem design of quilt which is characteristic of Korean traditional patterns. The goal of this study is to make some samples of the pattern as a basic motive of quilt work by using some Korean traditional patterns that could be found in roof tiles, windows, Neung-Hwa (a kind of wood cut for printing book covers), and others. This study examines the concept of quilts, their historical background, and their characteristics. This study also examines traditional patterns that are applicable to the patchy work of quilt, discussing the characteristic of both the Korean patterns and Nubi (Korean traditional quilt). In the process of pattern development, the original patterns were simplified and transformed to apply them to the modem quilt pattern. Fabrics (100% cotton) of similar colors were used to emphasize quilting lines. This study has found followings; 1) The geometric pattern usually consists of dots, lines, and faces. These patterns are suitable for pieced quilts. 2) The curvilinear pattern found in roof tiles or Yi-Dynasty coins, can be easily re-expressed by the applique technique. Combinations of fabrics and motive compositions can express quilts in realistic and creative ways. 3) Addition of Korean traditional quilt techniques, such as parallel lines or swastika stitches, to the traditional object-derived quilt patterns led to the creation of images close to the already existing Korean quilt, Nubi.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2002.02a
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• pp.180-186
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• 2002

The simulated die-casting process in which the traditional plaster casting process is combined with Rapid Prototyping technology is being used to produce Al, Mg, and Zn die-casting prototypes. Unlike in the die-casting process, molten metal in the conventional plaster casting process is fed via a gravity pour into a mold and the mold does not cool as quickly as a die-casting mold. The plaster castings have much larger and grosser grain structure as compared as the die-castings and the thin walls of the plaster mold cavity may not be completely fillet Because of lower mechanical properties induced by the large grain structure and incomplete Idling, the conventional plaster casting process is not suitable for the trial die-casting Process. In this work, an enhanced trial die-casting process has been developed in which molten metal in the plaster mold cavity is vibrated and pressurized simultaneously. Patterns for the casting are made by Rapid Prototyping technologies and then plaster molds, which have runner system, are made using these patterns. Imparted pressurized vibration to molten metal has made grain structure of castings much finer and improved fluidity of the molten metal enough to obtain complete filling at thin walls which can not be filled in the conventional plaster casting process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4108-4122
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• 2019

Workflow process mining is becoming a more and more valuable activity in workflow-supported enterprises, and through which it is possible to achieve the high levels of qualitative business goals in terms of improving the effectiveness and efficiency of the workflow-supported information systems, increasing their operational performances, reducing their completion times with minimizing redundancy times, and saving their managerial costs. One of the critical challenges in the workflow process mining activity is to devise a reasonable approach to discover and recognize the bottleneck points of workflow process models from their enactment event histories. We have intuitively realized the fact that the iterative process pattern of redo-activities ought to have the high possibility of becoming a bottleneck point of a workflow process model. Hence, we, in this paper, propose an algorithmic approach and its implementation to discover the redo-activities and their performers' involvements patterns from workflow process enactment event logs. Additionally, we carry out a series of experimental analyses by applying the implemented algorithm to four datasets of workflow process enactment event logs released from the BPI Challenges. Finally, those discovered redo-activities and their performers' involvements patterns are visualized in a graphical form of information control nets as well as a tabular form of the involvement percentages, respectively.