• Proceedings of the KSR Conference
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• 2009.05b
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• pp.233-237
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• 2009

In this study, we suggest that several approaches to evaluate the collision acceleration value of a car in the article 35 and the guideline 16 of Korean rolling stock safety regulation. There are various methods to evaluate collision acceleration such as; a displacement comparison method by the double integration of filtered acceleration data, a velocity comparison method by the integration of filtered acceleration data, an analysis method of time-velocity curve, or a differential method of time-velocity curve. We compared these methods one another using 1D dynamic simulation model composed of nonlinear dampers, springs and bars, and masses. Also, we applied these methods to a hybrid model, which is made of 3D shell element model and 2D collision dynamics model, in order to evaluate whether 1D force-displacement curve modeling for energy absorbing structures have an effect on the collision acceleration levels or not.

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.275.2-275.2
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• 2002

There have been many changes in hospital pharmacy after division of medical practice and dispensing. Many pharmacist leave hospital pharmacy to drugstore. Because reduced number of pharmacist, many of hospital pharmacies are placed in difficulty. Restructuring of hospital pharmacy made us consider substitution hospital admixtured TPN(total parenteral nutrition) with industrial manufactured TPN. But we have no data established to support that, so we have sarried out the comparison of two kinds of TPn formulary. We have divided into groups receiving hospital admixtured TPN and industrial manufactured TPN patients in august. 2002. We have compared with each groups in nutritional related dose, parameters and complication before and after TPN administration and also invertigated the reason of formulary change in each groups. We expect that this study will be good data for selection TPN formulary and substitution hospital admixtured TPN with industrial manufactured TPN.

• Journal of Aerospace System Engineering
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• v.15 no.4
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• pp.75-84
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• 2021

A novel robot-operating-system-based flight and mission state communication node for X-Plane 11 flight control simulation environments and its simulation results were discussed. Although the proposed communication method requires considerable implementation steps compared with the conventional MATLAB/Simulink-based User Datagram Protocol (UDP) block utilization method, the proposed method enables a direct comparison of cockpit-view images captured during flight with the flight data. This comparison is useful for data acquisition under virtual environments and for the development of flight control systems. The fixed/rotary-wing and ground terrain elements simulated in virtual environments exhibited excellent visualization outputs, which can overcome time and space constraints on flight experiments and validation of missionary algorithms with complex logic.

• The Journal of Economics, Marketing and Management
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• v.3 no.2
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• pp.1-8
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• 2015

In this paper, the effects of auditor change on audit quality in companies accepted in Tehran stock exchange placed review and we assessed the presence or absence of a significant correlation between them. to assess the quality of data auditing and tax distortions, falsification of accounting estimates, distortion of rules, distortion caused by mistakes in applying accounting policies and other distortions are used as the dependent variable Is. the sample group consisted of 56 companies as experimental group and a control group of 56 other companies a 4-year period, during the years 2011 to 2014 were studied. data needed for research discovery success ratio distortion before and after the change of auditor. To test the research hypotheses paired comparison method is used.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.225-237
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• 2018

The demand for processing large data streams is growing rapidly as the generation and processing of large volumes of data become more popular. A variety of large data processing technologies are being developed to suit the increasing demand. One of the technologies that researchers have particularly observed is the data stream clustering with sliding windows. Data stream clustering with sliding windows may create a new set of clusters whenever the window moves. Previous data stream clustering techniques with sliding windows exploit the coresets, also known as group features that summarize the data. In this paper, we present some reformable elements of a group-feature based algorithm, and propose our algorithm that modified the clustering algorithm of the original one. We conduct a performance comparison between two algorithms by using different parameter values. Finally, we provide some guideline for the selective use of those algorithms with regard to the parameter values and their impacts on the performance.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.2
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• pp.183-201
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• 2020

There is an increasing demand for services utilizing various data such as social data, public data, and personal information. In particular, the United States and the Korean government are working in various ways to utilize My Data. In 2019, the Financial Services Commission in Korea intends to expand financial services using personal information through MyData. This paper will examine MyData issues of the US and European governments and propose ways to promote MyData in Korea in terms of data compatibility and data quality.

• Journal of Family Relations
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• v.21 no.3
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• pp.49-72
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• 2016

Objectives: The purpose of this study is to develop a cognitive behavioral therapy program for ego-integrity of depressed elderly women living alone, and to verify its effectiveness. Method: The subjects of this study were composed of elderly women(age 65 and older) living alone who had basic literacy skills, 24 or higher in mental state examination(MMSE-K), and 6 or higher in elderly depression(GDS). 29 women were randomly assigned into an experimental group(cognitive behavioral therapy), a comparison group(reminiscence therapy) and a control group. The experimental group and the comparison group retrospectively participated in a 90-minute therapy session twice a week for a total of 12 weeks. The effectiveness of the program was assessed through a pretest, posttest, and 2-month follow-up test. The data collected were analyzed with SPSS 22.0 statistical program. Results: The main findings of this study are as follows. First, at posttest ego-integrity and self-esteem marked higher scores in both of the experimental group and the comparison group than in the control group, but the experimental group marked comparatively higher scores than the comparison group. For dysfunctional attitude, only the experimental group showed lower scores compared to the comparison group and the control group. Second, at posttest depression marked lower scores in the experimental group compared to the comparison group and the control group. Third, at posttest problem-solving and support-seeking coping strategies marked higher scores in the experimental group compared to the comparison group and the control group. Fourth, the significant improvements remained at 2-month follow-up test. Conclusions: Cognitive behavioral therapy resulted in improvements of the ego-integrity and related symptoms of depressed elderly women living alone at posttest and 2-month follow-up test respectively.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.1-11
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• 2022

With the development of deep learning technology, various research and development are underway to estimate preference rankings through learning, and it is used in various fields such as web search, gene classification, recommendation system, and image search. Approximation algorithms are used to estimate deep learning-based preference ranking, which builds more than k comparison sets on all comparison targets to ensure proper accuracy, and how to build comparison sets affects learning. In this paper, we propose a k-disjoint comparison set generation algorithm and a k-chain comparison set generation algorithm, a novel algorithm for generating paired comparison sets for crowd-sourcing-based deep learning affinity measurements. In particular, the experiment confirmed that the k-chaining algorithm, like the conventional circular generation algorithm, also has a random nature that can support stable preference evaluation while ensuring connectivity between data.

• Proceedings of the Korean Magnestics Society Conference
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• 2007.05a
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• pp.112.2-112.2
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• 2007

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.753-754
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• 2005