• 제목/요약/키워드: Data Comparison

검색결과 12,566건 처리시간 0.042초

열차의 충돌가속도 크기를 평가하기 위한 방법 연구 (A Study on Techniques for Evaluating Collision Acceleration of Rollingstock)

  • 김운곤;김거영;구정서
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집 특별세미나,특별/일반세션
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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.

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Comparison of TPN use with hospital admixtured and industrial manufactured formular TPN in Seoul national university

  • Kim, Kui-Sook;Choi, Mi-Young;Lee, Jin-Ju;Son, In-Ja;Suh, Ok-Kyung
    • 대한약학회:학술대회논문집
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    • 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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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.

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Development of ROS-based Flight and Mission State Communication Node for X-Plane 11-based Flight Simulation Environment

  • Cho, Sungwook
    • 항공우주시스템공학회지
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    • 제15권4호
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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.

Auditor's Report and the Impact of Non-Audit Services, Audit Institutions

  • Mohammadi, Shaban;Dashtbayaz, Mahmoud Lari
    • 융합경영연구
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    • 제3권2호
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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.

그룹특징기반 슬라이딩 윈도우 클러스터링에서의 k-means와 k-medoids 비교 평가 (Comparison between k-means and k-medoids Algorithms for a Group-Feature based Sliding Window Clustering)

  • 양주연;심준호
    • 한국전자거래학회지
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    • 제23권3호
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    • pp.225-237
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    • 2018
  • 대용량 데이터의 발생과 처리가 대중화되면서 대용량 데이터 스트림 처리에 대한 수요가 급격하게 증가하고 있다. 이 수요에 따라 다양한 대용량 데이터 처리 기술이 개발되고 있다. 한 분야로 주목받고 있는 방식은 슬라이딩 윈도우를 사용한 데이터 스트림 클러스터링이다. 슬라이딩 윈도우를 사용한 데이터 스트림 클러스터링은 윈도우가 이동할 때마다 새로운 클러스터를 생성한다. 기존의 슬라이딩 윈도우 상의 클러스터링 기법은 코어셋(Coreset)을 기반으로 데이터 스트림 클러스터링을 구현하고 있다. 이 연구에서는 코어셋을 활용한 그룹특징을 이용한 알고리즘 내에서 이용하는 클러스터링 알고리즘을 변경하였다. 그리고 이를 통해 제안 알고리즘과 기존 알고리즘의 파라미터 값 변화에 따른 성능 비교 실험을 진행하였다. 개선된 사항에 대해 논하여 두 알고리즘을 비교하고 실험자에게 파라미터에 따른 이용 방향을 제시한다.

국내 마이데이터 활성화를 위한 미국, 유럽 마이데이터 비교 연구 (Comparison of MyData Use Among the U.S., Europe, and the Korean Governments)

  • 이명호
    • 한국비블리아학회지
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    • 제31권2호
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    • pp.183-201
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    • 2020
  • 소셜 데이터, 공공 데이터, 개인정보 등을 이용한 다양한 서비스에 대한 요구가 증가하고 있다. 특히 개인정보를 활용하고 보호하기 위하여 미국, 유럽에서는 마이데이터에 대한 정책이 시도되고 있으며 2019년 국내에서도 마이데이터가 시행되었다. 본 연구는 우리나라 마이데이터 발전 방향을 제시하기 위하여 미국, 유럽의 마이데이터를 분석하였고 이를 기반으로 데이터 호환 및 데이터 품질 측면에서 발전 방향을 제안하였다.

우울한 여성독거노인의 자아통합감 증진을 위한 인지행동치료 프로그램 개발 및 효과 (The effectiveness of cognitive behavioral therapy for ego-integrity of depressed elderly women living alone)

  • 김지현;정효운;김정민
    • 한국가족관계학회지
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    • 제21권3호
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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.

크라우드 소싱 기반 딥러닝 선호 학습을 위한 쌍체 비교 셋 생성 (Generating Pairwise Comparison Set for Crowed Sourcing based Deep Learning)

  • 유기현;이동기;이창우;남광우
    • 한국산업정보학회논문지
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    • 제27권5호
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    • pp.1-11
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    • 2022
  • 딥러닝 기술의 발전에 따라 학습을 통해 선호도 랭킹 추정을 하기 위한 다양한 연구 개발이 진행되고 있으며, 웹 검색, 유전자 분류, 추천 시스템, 이미지 검색 등 여러 분야에 걸쳐 이용되고 있다. 딥러닝 기반의 선호도 랭킹을 추정하기 위해 근사(approximation) 알고리즘을 이용하는데, 이 근사 알고리즘에서 적정한 정도의 정확도를 보장할 수 있도록 모든 비교 대상에 k번 이상의 비교셋을 구축하게 되며, 어떻게 비교셋을 구축하느냐가 학습에 영향을 끼치게 된다. 이 논문에서는 크라우드 소싱 기반의 딥러닝 선호도 측정을 위한 쌍체 비교 셋을 생성하는 새로운 알고리즘인 k-disjoint 비교셋 생성 알고리즘과 k-체이닝 비교셋 생성 알고리즘을 제안한다. 특히 k-체이닝 알고리즘은 기존의 원형 생성 알고리즘과 같이 데이터 간의 연결성을 보장하면서도 안정적인 선호도 평가를 지원할 수 있는 랜덤적 성격도 함께 가지고 있음을 실험에서 확인하였다.