• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.214-229
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• 2011

The purpose of this study is to find strategic methods of quality management for customer satisfaction when developing clothing for middle and elderly women. For this study was middle and elderly women who were living in Seoul and Kyonggi-do. SPSS 11.5 statistical program was used for data analysis and to conduct factor analysis, reliability verification, paired-sample t-test, frequency analysis and percentage. The result were as follows; First, middle and elderly women's behavioral characteristic in purchasing clothing, the average price of formal suit was 700 thousand won and the time for purchasing was less than 3 months. They tended to purchase mostly by themselves on their own, and they purchase their own formal suit. Second, The body parts that influence the fit the most are in the order of waist circumference, shoulder width, chest circumference. Third, Regarding the difference of importance and satisfaction on the fit by body part that the middle and elderly women by body part, there was no significant different in neck circumference and shoulder swerve. Overweighing middle and elderly women showed difference in importance and satisfaction on all body parts. Underweighing middle-aged to aged women showed a significant difference in importance and satisfaction in the order of circumference of hips. Fourth, middle-aged women in 50s showed higher importance than satisfaction in the order of waist circumference, and elderly women in 60s should higher importance than satisfaction in rise length, jacket length. Aged women in 70s and above should significant difference only in the height of collar.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.402-409
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• 2019

Patients with dementia or elderly patients who can not move at all by themselves are at a high risk of falls and bedsore due to lack of caregivers. In this paper, to solve this problem, we propose an algorithm to determine the patient's lying postures by discriminating the main body parts such as head, shoulders, and hips based on the pressure intensity sensed at regular intervals. A smart mat with a lattice structure in which a pressure sensor is arranged so that the body part can be discriminated irrespective of the physical characteristics has been implemented. It consists of two modules of $7{\times}7$ array size. Each module consists of 49 FSR-406 sensors and independently senses pressure. For each module, the body part corresponding to the upper body or the lower body is sequentially discriminated by using a pressure distribution such as a cumulative pressure sum using a filter. The proposed algorithm can identify five lying positions by examining the inclusion relationship between body parts belonging to layer-1 such as head, shoulder, and hip area.

• International journal of advanced smart convergence
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• v.6 no.2
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• pp.16-23
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• 2017

In contemporary modern society, people are constantly exposed to many kinds of noise, such as that from machinery, aircraft, construction sites, or road traffic. Noise is considered one of the most indispensable and influential parts of human life. This study investigates the acoustic characteristics of noise transfer from external sources to the human ear. For this study, we measured and analyzed various types of noise environments, installed monitoring speakers in a semi-anechoic room, and conducted intentional noise-filled experiments. In this environment, the size of the sounds generated by use of a portable device was also measured and the SNR (signal to noise ratio) calculated to study the influence of the noise. As sound is transmitted to the ear and the human body, it affects not only auditory damage but also other parts of the body. In this paper, we propose a proper SNR for noise emitted by portable IT equipment to prevent hearing loss when IT equipment is used.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1997.10a
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• pp.271-277
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• 1997

The important parts of the developing AGV model are fabrication of each part and design technology of the body frame. In present day, design of the body frame is depend on the experience of the industry place and the systematic data and the optimal design technology of the frame for the case of model change is insufficient. In this study, the strengths of the AGV(Automatic guided vehicle)are examined with the 3-dimensional Finite Element method. In order to verify the FE results, the computed results are compared with the experimental results are compared with the experimental data from the strain-gage output data. New model designed by removing some parts of the initial model and choosing the thickness change of the rectangular-pipes.

• Journal of KSNVE
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• v.5 no.4
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• pp.503-514
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• 1995

In the case of performing experimental modal analysis(EMA) and finite- element analysis(EFA) for a whole structure of automotive body that is composed of many complex parts, a trouble may arise from the calculation time, the capacity of memory in computers and the experimental conditions, etc. In this paper, for the vibrational analysis of automotive body model, the efficient modal synthesis method by means of dividing the whole structure into two parts and performing EMA and FEA for each part is studied. In addition, the method based on Lagrange interpolation is proposed for approximating rotational degrees-of-freedom information and linking FEA with EMA. In result, by measuring translational degrees-of-freedom information of only few points and adopting only few modes, the linking method based on Lagrange interpolation turned out to be efficient and accurate in the low frequency range.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1999.03b
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• pp.108-111
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• 1999

Elastic deformation of die has been investigated to improve the accuracy of cold forged parts. In order to improve the accuracy of forged parts we have investigated the elastic deformation of forging die by analysis with commercial. F. E. M code DEFORM and experiments using he strain gages. In the F. E. M analysis two types are used for elastic deformation of die. the one considers die as elastic body and the other considers the die as rigid body. The latter relatively takes a lot of time. The results from the two types are very similar with each other. Considering the results of analysis and experiments it is likely that the elastic strain of forging die is very small.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.95-100
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• 2018

In this paper, we propose a binarized multi-scale module to accelerate the speed of the pose estimating deep neural network. Recently, deep learning is also used for fine-tuned tasks such as pose estimation. One of the best performing pose estimation methods is based on the usage of two neural networks where one computes the heat maps of the body parts and the other computes the part affinity fields between the body parts. However, the convolution filtering with a large kernel filter takes much time in this model. To accelerate the speed in this model, we propose to change the large kernel filters with binarized multi-scale modules. The large receptive field is captured by the multi-scale structure which also prevents the dropdown of the accuracy in the binarized module. The computation cost and number of parameters becomes small which results in increased speed performance.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.7 no.3
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• pp.37-42
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• 1998

The important parts of the developing AGV model are the fabrication of each part and the design technology of body frame. In the present day, design of the body frame depends on the experience of the industrial place. the systematic data need for the optimal design of the frame for the case of model change. In this study, the strength of the early stage AGV(Automatic guided vehicle) is examined with the 3-dimensional finite elemnt method. In order to verify the finite element results, the computed results are compared with the experimental data from the strain-gage output. A New model was designed by rmoving some parts of the early staged(roughyly designed) model and choosing the thickness change of the rectangular-pipes.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2009.05a
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• pp.393-396
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• 2009

The mechanical properties, press formability and texture of a TWIP steel were investigated. This steel combines both high strength and high ductility due to so called TWIP effect which are related to the microstructural changes. The formation of twins during deformation leads to an increase of its mechanical properties. In this study, the texture and mechanical properties evolutions of a TWIP steel subjected to tensile tests and press trials at room temperature were investigated in relation to the feasibility of the application to automotive body parts.

• Transactions of Materials Processing
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• v.9 no.6
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• pp.624-630
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• 2000

Typical automotive opening parts, i. e. hood trunk lid and door, are made through the press operations such as drawing, trimming, flanging, and hemming. The dimensional accuracy of stamped panels is mainly dependent on the drawing operation. However, the gap between outer panels and opening parts, which is important to the appearance quality of the assembled body, is directly influenced by the flanging and hemming operation. In this study, the relation between the design parameters of the hemming operation and the defect of roll-in is shown. The effects of some design parameters on the gap are examined using CAE. furthermore, the simulated results of the hemmed part of tailgate comer are shown and discussed.