• 제목/요약/키워드: Adjust method

검색결과 898건 처리시간 0.03초

자동차용 Adjust Plate Progressive 금형 개발 (Development of Adjust Plate Progressive Die)

  • 배용환;반갑수
    • 한국안전학회지
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    • 제17권4호
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    • pp.1-4
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    • 2002
  • A automatic production system was developed for high productivity and safety. The semi-progressive die was unfavorable for more productivity, safety, material extravagance and incongruent high-speed production. Developed progressive die is suitable for the high production and guarantee triple production by acceptance of three array type for automobile adjust plate. We adopt Pro-$Engineer{\circledr}$ for three dimensional computer aided design suitable for the disassembly and assembly evaluation. The conclusion of this study is as follow. First, press die parts solid modeling system is built by using Pro-$Engineer{\circledr}$ through this research and verified allowable tolerance and possibility of assembly and disassembly of parts. Therefore we can reduce die manufacturing time and cost. Second, We produce 1000 units pet hot coil 1ton by traditional method, but we can acomplish material saving effect about 12% as 120 units in case of new progressive die. Fourth, we acomplished manufacturing cost curtailment effect more than 20% in comparison with traditional method.

수동형/반능동형 RFID 시스템의 태그 충돌 방지 알고리즘 -Part I : QueryAdjust 명령어를 이용한 AFQ 알고리즘과 Grouping에 의한 성능개선- (Tag Anti-Collision Algorithms in Passive and Semi-passive RFID Systems -Part I : Adjustable Framed Q Algorithm and Grouping Method by using QueryAdjust Command-)

  • 송인찬;범효;장경희;신동범;이형섭
    • 한국통신학회논문지
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    • 제33권8A호
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    • pp.794-804
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    • 2008
  • 본 논문에서는 EPCglobal Class-1 Generation-2 (Gen2) 기반 Probabilistic Slotted 충돌방지 알고리즘에 대하여 살펴보고, 태그인식시간, 충돌 비율을 감소시키고, 데이터 처리량, 시스템 효율을 증가 시킬 수 있는 QueryAdjust 명령어를 사용한 FAFQ (fixed adjustable framed Q) 알고리즘과 AAFQ (adaptive adjustable framed Q) 알고리즘을 제안하며, 또한 Gen2 기반으로 태그 인식 효율을 향상 시킬 수 있는 Grouping 방법을 제안한다. 제안한 방법들 모두 Q 알고리즘의 성능 향상을 보이며, 제안하는 방법 중 AAFQ 알고리즘이 가장 높은 성능 향상을 나타낸다. 즉, AAFQ 알고리즘에 의하여 5% 정도의 시스템 효율 성능 향상과 4.5% 정도의 충돌 비율 감소를 얻을 수 있다. Grouping 방법은 FAFQ 알고리즘과 AAFQ 알고리즘에 대해선 Ungrouping 방법과 비슷한 성능을 보이지만, Gen2 Q 알고리즘의 경우 Ungrouping 방법과 비교 하였을 때 태그인식시간 및 충돌 비율을 감소시키고, 데이터 처리량 및 시스템 효율을 증가 시킨다.

Evaluation of Non-iterative Shimming Using 2-D Field Map Compared with Simplex Shimming

  • Park, Min-Seok;Kim, Si-Seung;Park, Dae-Jun;Chung, Sung-Taek
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2001년도 제6차 학술대회 초록집
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    • pp.152-152
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    • 2001
  • Purpose: The most common instrumental approach to automatic shimming has been based on iterativ. optimization routine(e.g., simplex) to adjust shim settings to maximize the envelope of the FID. Disadvantage of iterative method, however, is very long to compute shim values. Thi paper supposes a non-iterative method that uses 2-D field map to adjust shim settin rapidly.

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간호의 질 보장을 위한 DRG 보정지수 개발 (Development of the DRG Adjust Index for Nursing Care Quality Assurance)

  • 김세화;김윤미
    • 간호행정학회지
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    • 제10권1호
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    • pp.1-9
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    • 2004
  • Korean health insurance has adopted preliminary DRG payment system through 8 DRGs from 1997. But present DRG payment system gives economic incentives for hospitals to hire less nurse. This study was attempted to develope DRG adjust index to differentiate DRG price by nurse staffing level for nursing care quality. Method: We analyzed inpatient care cost by medical institute and developed DRG adjust index to differentiate DRG price by nurse staffing level. Results: Among same medical institute, inpatient care cost are very different according to hospital's nurse staffing level. In the case of casarean section, inpatient care cost of the 1st grade general hospital are more expensive 85,732won than the 6th grade hospital. The cost difference are 8.24% of total casarean section DRG price and 16.48% of DTG variable price. We developed DRG adjust index-a to apply DRG variable price and index-b to apply DRG total price for compensation cost difference of hospitals. Conclusions: DRG price adjust index will give economic incentive for hospitals to hire more nurse and improve nursing care quality.

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모델 맷칭법에 의한 디젤기관의 속도제어 (Speed Control of a Diesel Engine by Means of the Model Matching Method)

  • 유희환;하주식
    • Journal of Advanced Marine Engineering and Technology
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    • 제20권3호
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    • pp.131-137
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    • 1996
  • The existing digital governors are in the beginning stage. Placing the focus on the marine site, most of the digital governors developed are still using the simple PID algorithm. But, the performance of a diesel engine is widely changed according to the parameters of the PID controller. So, this article describes a new method to adjust the parameters of the PID controller in a marine digital governor. In this paper, the diesel engine is considered as a nonoscillatory second order system. A new method to adjust the parameters of the PID controller for speed control of a diesel engine is proposed by means of the model matching method. Also, the simulations by numerical methods are carried out in cases of the exact understanding or out of the parameters of a diesel engine respectively. And this paper confirms that the proposed new method here is superior to Ziegler & Nichols's method through the comparisons and analysis of the characteristics of indicial responses.

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Adjustment of Spectral Information of Different Facets in a Surface Material using Image Segmentation

  • Lee Jong Yeol
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.609-612
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    • 2004
  • Geometric shape in a surface material sometimes produces different slopes that have different illuminations. It causes some difficulties to get same classification results or to identify as an object for the different facets in a surface material. A regression method is suggested to adjust the spectral information of different facets in a surface material using image segments. The method to adjust spectral information in a building facets was very successful. The most important advantage of this method is to keep the intensity of spectral information as well as spectral response. This method can also be implemented in an adaptive way.

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대학도서관 정보사서의 정보서비스 효율성 평가 (An Evaluation for Effectiveness of Information Services by Reference Librarians at College and University Libraries in Korea)

  • 한상완
    • 한국문헌정보학회지
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    • 제13권
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    • pp.95-119
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    • 1986
  • The objective of this study is to search for a theoretical and practical solution to the question of what is the most effective and qualitative method of information service for the college and university libraries in Korea. Assuming the maximum service or total service theory in information services, therefore, it appears natural that the subject specialist who is highly knowledgeable in his subject is indispensable in raising the quality of information librarians. The procedure of this research was as follows: There was no college and university library employing any full-time subject spceialist in Korea. This research, however, was proceeded on the assumption that subject specialists are already employed in all of the college and university libraries after the subject specialist system is established. The least qualification of subject specialist is limited, based on the criteria given by the foreign literature, to those who have master's degree in Library Science and bachelor's degree in any other subject area, those who have bacholor's degree in Library Science and master's degree in any other subject area, or those who have both bacholor's and master's degrees in Library Science with minor in any subject field . To prove the research hypothesis that the subject specialist will perform his role more efficiently than the generalist in effectively providing information service based on both accuracy and speed, this research as an obtrusive testing method analyzed the effectiveness by presenting information questions to the generalists and subject specialists who are information librarians in college and university libraries. For this study 20 librarians working at 12 university libraries were tested for performance levels of information services. The result showed $59.75\%$ an absolute performance rate and $75.20\%$ an adjust performance rate. Compared to Thomas Childer's 1970 study in which he used the unobtrusive testing method, these results were $5\%$ higher in the absolute performance rate and $11.36\%$ higher in the adjust performance rate. In comparing the generalist with the subject specialist in efficiency of information service, while the absolute performance rate was $57.08\%$ and the adjust performance rate was $73.08\%$ in the case of the generalist, the absolute rate was $63.75\%$ and the adjust rate was $78.38\%$ in the case of specialist, therefore, the efficiency of the subject specialist was $6.67\%$ higher in the absolute performance rate and $5.30\%$ higher in the adjust performance rate than that of generalist. But the factor of speediness was excluded from the analysis because of the difference between the time the interviewers recorded and the time the interviewee recorded. On the basis of the result of this research, it should be desirable to educate subject specialists and employ them as information librarians and for them to function as efficient subject specialists in order to improve the effectiveness of information services, the nucleus of the raison d'etre of college and university libraries.

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2010 미국프로골프협회 자료를 활용한 경로분석을 통한 경기력의 평균타수에 미치는 영향력 비교 (The study for effectiveness of golf skills to adjust average score using path analysis in 2010 PGA)

  • 민대기
    • Journal of the Korean Data and Information Science Society
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    • 제22권1호
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    • pp.65-71
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    • 2011
  • 경로분석은 변수 사이의 관계를 규명하는 방법으로 회귀분석에서 파악하기 어려운 직접효과와 간접효과, 의사효과를 파악할 수 있는 장점이 있다. 본 연구에서는 골프경기에서 가장 중요한 경기력 요소를 이용하여 평균타수에 어떻게 직접, 간접적으로 영향을 미치는가를 경로분석을 통하여 연구하였으며 자료는 2010년 남자프로골프선수 상위권 186명을 이용하였다.

동적 귀환 신경망에 의한 비선형 시스템의 동정 (Identification of Nonlinear Systems based on Dynamic Recurrent Neural Networks)

  • 이상환;김대준;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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    • pp.413-416
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    • 1997
  • Recently, dynamic recurrent neural networks(DRNN) for identification of nonlinear dynamic systems have been researched extensively. In general, dynamic backpropagation was used to adjust the weights of neural networks. But, this method requires many complex calculations and has the possibility of falling into a local minimum. So, we propose a new approach to identify nonlinear dynamic systems using DRNN. In order to adjust the weights of neurons, we use evolution strategies, which is a method used to solve an optimal problem having many local minimums. DRNN trained by evolution strategies with mutation as the main operator can act as a plant emulator. And the fitness function of evolution strategies is based on the difference of the plant's outputs and DRNN's outputs. Thus, this new approach at identifying nonlinear dynamic system, when applied to the simulation of a two-link robot manipulator, demonstrates the performance and efficiency of this proposed approach.

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배합 인자를 고려한 Machine Learning Algorithm 기반 콘크리트 압축강도 추정 기법에 관한 연구 (A Study on the Estimation Method of Concrete Compressive Strength Based on Machine Learning Algorithm Considering Mixture Factor)

  • 이승준;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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    • pp.152-153
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    • 2017
  • In the construction site, it is necessary to estimate the compressive strength of concrete in order to adjust the demolding time of the form, and establish and adjust the construction schedule. The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, six influential factors (Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know the various correlations among data and the tendency of data. After using algorithm of various methods of machine learning techniques, we selected the most suitable regression analysis model for estimating the compressive strength.

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