• Fashion & Textile Research Journal
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• v.11 no.2
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• pp.301-307
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• 2009

The purpose of this study is to investigate the problem and complaint of current flight suit derived with the questionnaires. The survey was carried out to the 137 aviators in Army Aviation School from April to May, 2007. The questionnaires were composed of personal characteristics, usage characteristics, wearing characteristics and free comments. Regard to the questionnaires of usage characteristics, they wore the flight suit over 6 hours a day and over 5 days a week. For wearing convenience item in usage characteristics it was revealed that fitness, ease and the location of pocket were not proper, Also, it showed that the material characteristics(e.g. insulation, absorption, and sensation) for flight suit was not proper. Regard to the questionnaire of wearing characteristics, the most inconvenient part is crotch as the answer on the question of "unfitting part in size" and "inconvenient part when wearing". Free comments for the improvement requests are various size, material, stitch strengthening, pattern modifying, and accessories.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.29-36
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• 2007

In the Java a profiler interface such as JVM TI is provided for communication between a Java virtual machine and a profiler. The JVM TI specification, however does not require an implementation of a profiler interface. Consequently the JVM without an implementation of a profiler interface cannot use a profiler with the JVM TI. For solving the problem, we propose a technique which analyzes heap usage without a profiler interface. This technique inserts codes to extract heap usage into source files in the Java. We implemented a code inserter to verify the proposed technique. We experimented with Java programs that are frequently used and opened. the experimental result presents the number of created objects. the maximum number of allocated objects, and the used pattern of the objects.

• Journal of Korea Multimedia Society
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• v.22 no.3
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• pp.366-373
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• 2019

The development of monitoring and analysis systems to increase productivity while saving energy is needed as a method to reduce huge amount of energy consumed in the process of producing large forged products. In this paper, we propose a system to monitor and analyze energy usage in real-time collected from gas-meter, wattmeter, and thermometer based on IoT installed in forging factories. The system consists of a data collection server for collecting and processing data from IoT- based platform and existing SCADA equipment and ERP/MES system in forging factories, and an application server for providing services to users. To develop the system, the overall system structure is logically diagrammed, and the databases configuration and implementation modules to efficiently store and manage data are presented. In the future, the system will be utilized to reduce energy consumption by analyzing energy usage pattern and optimizing process works with real-time energy usage and production process data for each facility.

• Journal of Korea Game Society
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• v.21 no.2
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• pp.79-88
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• 2021

Particle and noise are effectively used to implement unspecific VFX like an explosion, magic. Particle can create freely but, The more usage, the higher CPU/GPU usage. This paper using polygon mesh that is hard to change but consumes fixed resources to overcome the demerit of particle and reduce CPU/GPU usage. Also, using shader, apply noise texture that is suitable unspecific pattern to vertex and surface texture mapping of polygon mesh for implement VFX in unity. As a result of experiment, shader applied sphere polygon mesh show 2~4ms CPU, 1~2ms GPU usage in profiler. Also It has been shown that shader can be used to implement unspecific VFX.

• The Research Journal of the Costume Culture
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• v.17 no.4
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• pp.535-547
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• 2009

This study presented a making method of jeans pattern with high fitness after deriving the appropriate shrinkage rate by material and washing process. For this purpose of this study, 6 jeans have been tested after washing finishing and we turned out appropriate shrinkage rate by evaluating the exterior of jeans and usage satisfaction. Then, a making method of jeans pattern was presented after applying the optimized shrinkage rate. According to the result of the exterior evaluation of test jeans, all 6 jeans were rated high with scores close to 3.5. Following the evaluation of satisfaction of usage by physical movement, the highest ranking was in the order of walking with normal steps, back bending $90^{\circ}$, chair sitting, climbing stairs, and squatting. The shrinkage rate by physical area showed the highest score in the order of pants length, waist circumference, thigh circumference, knee circumference, hem circumference, hips circumference. In addition, the shrinkage rate was higher in warp direction than weft direction after washing finishing. As for the result of addition and reduction of pattern measurements by parts of jeans, waist circumference was 2.6${\sim}$5.2cm, hips circumference was 1.3${\sim}$4.2cm, thigh circumference was 0.8${\sim}$3.1cm and knee circumference was 0.7${\sim}$2.5cm. Also, hem circumference was 0.5${\sim}$1.8cm and pants length was 4.0${\sim}$6.2cm. That is, this results showed a wide range of addition and reduction according to material and washing finishing.

• Journal of the Korean Institute of Gas
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• v.27 no.3
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• pp.72-76
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• 2023

Among urban gas-using facilities, more and more cases are using gas meters for leakage inspection instead of inspection ports for concealment pipes. Leak alarm alarms were continuously generated according to the boiler's special usage pattern in an environment where there was no actual gas leakage among some households where this meter was installed. It does not perform its original function of detecting actual gas leakage. Based on these problems, this study analyzed the conditions under which the gas meter for leakage inspection generates leakage alarms according to the boiler's special gas use pattern, and sought a set value that can generate an alarm only in the case of actual gas leakage. Through this, it is intended to relieve citizens' anxiety about gas use due to malfunction of the alarm and at the same time perform the original function of the meter that can detect leaking gas.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.656-656
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• 2006

• Journal of Environmental Impact Assessment
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• v.29 no.2
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• pp.122-131
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• 2020

Marine Spatial Planning is an emerging strategy that promoting sustainable development at coastal and marine areas based on the concept of ecosystem services. Regarding its methodology, usage rate of resources and its impact should be considered in the process of spatial planning. Particularly, considering the rapid increase of coastal tourism, visitation pattern is required to be identified across coastal areas. However, actions to quantify visitation pattern have been limited due to its required high cost and labor for conducting extensive field-study. In this regard, this study aimed to pose the usage of social big data in Marine Spatial Planning to identify spatial visitation density and critical management zone throughout coastal areas. We suggested the usage of GPS information from Flickr and Twitter, and evaluated the critical management zone by applying spatial statistics and density analysis. This study's results clearly showed the coastal areas having relatively high visitors in the southern sea of South Korea. Applied Flickr and Twitter information showed high correlation with field data, when proxy excluding over-estimation was applied and appropriate grid-scale was identified in assessment approach. Overall, this study offers insights to use social big data in Marine Spatial Planning for reflecting size and usage rate of coastal tourism, which can be used to designate conservation area and critical zones forintensive management to promote constant supply of cultural services.

• Convergence Security Journal
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• v.11 no.6
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• pp.9-15
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• 2011

It is difficult to identify attack requests from normal ones when those attacks are based on CSRF which enables an attacker transmit fabricated requests of a trusted user to the website. For the protection against the CSRF, there have been a lot of research efforts including secret token, custom header, proxy, policy model, CAPTCHA, and user reauthentication. There remains, however, incapacitating means and CAPTCHA and user reauthentication incur user inconvenience. In this paper, we propose a method to detect CSRF attacks by analyzing the structure of websites and the usage patterns. Potential victim candidates are selected and website usage patterns according to the structure and usage logs are analyzed. CSRF attacks can be detected by identifying normal usage patterns. Also, the proposed method does not damage users' convenience not like CAPTCHA by requiring user intervention only in case of detecting abnormal requests.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.640-647
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• 2022

The purpose of this study was to investigate the factors influencing sleep quality of nursing students, focusing on depression, smartphone usage before sleep, and academic score. Among nursing students in the 3rd and 4th grades of two universities, 196 subjects were randomly selected. Data were collected from April to July 2021 using tool of sleep quality(PSQI-K), depression(Korean BDI-II), and smartphone usage before sleep, and the effect on sleep quality was analyzed through Stepwise Multiple Regression Analysis. As a result of the study, two factors, depression and smartphone usage before sleep, had 39.0% explanatory power for the sleep quality of nursing students, and were statistically significant. That is, the higher the depression level and the more frequent smartphone usage before sleep, the worse the sleep quality level. However, academic score was not a significant variable. In conclusion, in order to improve the sleep quality of nursing students, it is necessary to reduce the pattern of sleep disorders related to depression and to correct the lifestyle by reducing smartphone usage before sleep.