• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.377-388
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• 2014

There have been a lot of studies about overseas factory location in order to meet various needs of industries according to the international economic developments. However, most of the studies were written about generic theory for general industries or mainly concerned to high capital industries. This study is focusing on the sewing and apparel industries which represent labor intensive and small-medium type of enterprises. For this study, AHP(Analytic Hierarchy Process) methods were applied to make proper analysis after wide range of survey to clarify determinants which provide a guidance for overseas factory location. As a result of the analytical researches done in the thesis the most important which should be taken consideration while determining of overseas factory location for sewing and apparel products industry are as follows - economic factors(0.569), geographic factors(0.171), social and cultural factors(0.157), regulations and institutional factors(0.103). In the last, S company is examined for example to show how this determinants have practically been applied.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.2
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• pp.37-43
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• 2004

High speed machining is a machining process which cuts materials with the fast movement and rotation of a spindle in a machine tool. It reduces machining time because of the high feed and the high speed of a spindle. In addition it gets rid of post processes for high precision machining. When the high speed machining is applied to especially hardened steel, operators should select the proper parameters of machining. This can produce machining surfaces which is qualified with good surface roughness. This paper presents a method for selecting machining parameters to minimize surface roughness with high speed machining in cutting the hardened steels. Experimental data for surface roughness are collected in a machining shop based on the cutting feed and the spindle rotation. The data fits in hi-cubic polynomial surface of mathematical form. From the model this research minimize the surface roughness to find the optimal values of the feed and the spindle speed. This paper presents a program which automatically generates optimal solutions from the raw data of experiments.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2006.06a
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• pp.45-48
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• 2006

Recently, the use of tubular hydroforming technology has seen increased usage and increased consideration for wide range of tubular automotive applications. In manufacturing hydroformed parts, bending and pre-forming operations are often required prior to the hydroforming process. Higher bending quality of bent tubes is crucial for the successful hydroforming operation because most of plastic strains and wall thinning at the extrados of bend area occur in the bending operation. Springback is also observed due to elastic recovery of tube material after bending. Proper correction of springback is required not only to well place the bent tube into a hydroforming die cavity but also to avoid pinching when the upper die is brought down to closing position. Therefore, prediction of springback at early development stage is one of the key factors to produce high quality hydroformed parts. In this study, a variety of bending experiments has been carried out to investigate springback amount under change in bending angle and material boosting. Throughout the experimental approach, springback characteristics of bent tubes are quantified according to the change in various bending parameters, and a mathematical model to predict correction amount of springback to a given bend angle is found.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.293-304
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• 2014

A child's mental health is an important element of his proper emotional development. Abuse of children by parents and peer groups are causes of depression and anxiety in children. These conditions become obstacles to their normal growth process which can be a contributing factor to juvenile delinquency. This study is based in the theoretical background of the relationship between abuse from parents and peer groups and children's emotional health. This information is analyzed through structural equation modeling.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.32A no.12
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• pp.149-158
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• 1995

This paper describes the development of a software tool LCD FRAME that may guide the analyzing process for the electrical characteristics and the design procedure for constructing the thin film transistor liquid crystal display(TFT/LCD) packages. LCD FRAME can analyze its electrical characteristics from the TFT/LCD system package configuration, and provide the design variables to meet the user's requirements. These analysis and design procedure can be done in real time according to the model at simplified package level of TFT/LCD. LCD_FRAME is an object-oriented expert system which considers package elements as objects. With this LCD_FRAME software tool, we analyzed the I-V characteristics of a-Si TFT and its signal distortion which has maximum 1.58 $\mu$s delay along the panel scan line of the package containing 480 ${\times}$ 240 pixels. We designed the package structure of maximum 6.35 $\mu$s signal delays and 3360 ${\times}$ 780 pixels, and as a result we showed that the proper structure of 20 $\mu$m scan line width, 60$\mu$m panel TFT gate width and 8 $\mu$m gate length. This LCD_FRAME software tool provides results of the analysis and the design in the form of input files of the SPICE program, text data files, and graphic charts.

• Journal of Auto-vehicle Safety Association
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• v.7 no.2
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• pp.44-49
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• 2015

This paper presents an evaluation scenario of safety performance for extraordinary service permission of autonomous vehicle driving on a motorway. Based on advanced driver assistance system (ADAS) which is already mass-production, an autonomous vehicle driving on motorway is tested on the public roads and also getting close to mass-production. Before the autonomous vehicle tested, the safety of autonomous driving system should be evaluated based on a proper test scenario. Prior to develop the test scenario, this paper reviews the licensing standards for an autonomous vehicle in California and Nevada, and the international regulations of each ADAS. To develop the scenario, the driving conditions of motorway are categorized into five modes and fundamental evaluation requirements of elements of autonomous driving system are derived. An evaluation scenario, which represents the real driving conditions, has been developed to assess the safety of autonomous vehicle. This scenario has validated by computer simulation using model predictive control (MPC) based autonomous driving algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4214-4230
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• 2020

This paper introduces a pilot allocation scheme for massive MIMO systems based on deep convolutional neural network (CNN) learning. This work is an extension of a prior work on the basic deep learning framework of the pilot assignment problem, the application of which to a high-user density nature is difficult owing to the factorial increase in both input features and output layers. To solve this problem, by adopting the advantages of CNN in learning image data, we design input features that represent users' locations in all the cells as image data with a two-dimensional fixed-size matrix. Furthermore, using a sorting mechanism for applying proper rule, we construct output layers with a linear space complexity according to the number of users. We also develop a theoretical framework for the network capacity model of the massive MIMO systems and apply it to the training process. Finally, we implement the proposed deep CNN-based pilot assignment scheme using a commercial vanilla CNN, which takes into account shift invariant characteristics. Through extensive simulation, we demonstrate that the proposed work realizes about a 98% theoretical upper-bound performance and an elapsed time of 0.842 ms with low complexity in the case of a high-user-density condition.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.379-382
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• 2001

In domestic construction industry, time and cost has been managed separately in most cases. Usually projects are managed focused on cost, so time is not yet managed systematically. Project performance in these managemental situation can not be assessed correctly. This would cause project delay, cost overrun, productivity loss. Therefore it is needed to adopt earned value concept, an approach used in the management and control of project costs and schedules. Using this EV concept through time-cost integration, project can be managed properly based on the consistency, predictability, and reliability of the performance data. This paper proposed time and cost integration process, proper PMT method, and practical performance management model through time and cost integration.

• Proceedings of The Korean Society of Health Promotion Conference
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• 1999.07a
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• pp.73-92
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• 1999

In present paper, author proposed an effective health education strategy for local health department, which was revised from the PATCH of CDC. The author suggested that an health department should follow several steps to have an effective health promotion programs in their community. First step would be community mobilization that encourage key persons and major organizations and agencies to participate in the program. The second step is collecting demographic and vital statistics in the community or for a target audience as well as social, psychological and behavioral data. Based on the data analysis, the next step is to choose a target audience and health problem(s) for the target audience in question. The fourth step is the development of health education strategy for the target audience and the health problem. The fourth step also includes selecting a proper communication channel and educational materials as well as pre- and post-testing. The final step is implementing health education programs and evaluating the process, outcome and impact of the program. Korean Institute for Health and Social Affairs(KIHASA) has developed a model for health education programs used in local health department. KIHASA can provide technical assistance and health education materials to assist local health departments in Korea.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.165-171
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• 2017

It is difficult to recognize Human's facial expression in the real-world. For these reason, when database and test data have similar condition, we can accomplish high accuracy. Solving these problem, we need to many facial expression data. In this paper, we propose the algorithm for gathering many facial expression data within various environment and gaining high accuracy quickly. This algorithm is training initial model with the ASSL (Active Semi-Supervised Learning) using deep learning network, thereafter gathering unlabeled facial expression data and repeating this process. Through using the ASSL, we gain proper data and high accuracy with less labor force.