• Journal of Sport and Applied Science
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• 제4권3호
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• pp.11-22
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• 2020

Purpose: The purpose of this study is to analyze the effect of college sport club participants' ego-resilience on the college adjustment. Research design, data, and methodology: To accomplish the purpose, 360 participants were sampled by means stratified cluster random sampling method. Only 317 questionnaires were statistically processed, while 43 questionnaires were excluded because their respondents failed to complete instrument and judged insincere in filling out questionnaire. To analyze the data collected, statistical techniques, such as descriptive statistics, reliability analysis, independent-sample t-test, and one-way ANOVA, multiple regression analysis were used, and as for difference verification between individual groups in relation to significant results, Duncan's multiple range was conducted. Results: The following results have been drawn out via hypothesis test. First. the background variable of the college sport club participants of was proved to affect the degree of their ego-resilience on the college adjustment. Specifically, their period of participation, frequency of participation and expenses made a statistically meaningful. Second, the college sport club participants of ego-resilience were proved to affect the college adjustment. Academic adjustment, social adjustment, personal-emotional adjustment and institutional attachment made a statistically meaning-full difference. Conclusions: The findings indicate the function of sport club participants' ego-resilience in assisting their adjustment.

• Water Engineering Research
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• 제5권2호
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• pp.101-109
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• 2004

Aggregating information by combining forecasts from two or more forecasting methods is an alternative to using forecasts from just a single method to improve forecast accuracy. This paper describes the development and use of a monthly inflow forecast model based on an optimal linear combination (OLC) of forecasts derived from naive, persistence, and Ensemble Streamflow Prediction (ESP) forecasts. Using the cross-validation technique, the OLC model made 1-month ahead probabilistic forecasts for the Chungju multi-purpose dam inflows for 15 years. For most of the verification months, the skill associated with the OLC forecast was superior to those drawn from the individual forecast techniques. Therefore this study demonstrates that OLC can improve the accuracy of the ESP forecast, especially during the dry season. This study also examined the value of the OLC forecasts in reservoir operations. Stochastic Dynamic Programming (SDP) derived the optimal operating policy for the Chungju multi-purpose dam operation and the derived policy was simulated using the 15-year observed inflows. The simulation results showed the SDP model that updated its probability from the new OLC forecast provided more efficient operation decisions than the conventional SDP model.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.346-349
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• 2015

일반적으로 타이어의 마모도나 비정상적인 마모를 알아보기 위해서는 운전자나 정비사가 직접 타이어를 육안으로 타이어의 마모도 및 타이어의 이상 여부를 확인하거나, 측정 게이지 장비를 이용한 방법을 이용한다. 이러한 방법은 개개인의 주관적인 판단이 들어가거나 시간적인 부담과 휠 얼라인먼트 장비를 사용하는 비용을 지불하게 되어 운전자가 받는 부담을 더욱 클 수밖에 없다. 그래서 본 논문에서는 이상마모와 타이어의 마모도를 체크 하고자 복수개의 레이저 센서를 이용하여 각 타이어마다 이상마모와 타이어의 마모도를 체크하고 타이어의 정보를 알기 위해 타이어의 옆면을 체크 하는 시스템을 개발하여 주관적인 판단을 극복하고 객관적이고 정확한 판단을 내릴 것이다.

• 융합보안논문지
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• 제6권4호
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• pp.49-57
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• 2006

과거에는 IP기반으로 허가되지 않은 네트워크 접근을 차단하는 침입차단시스템, 그리고 악성 코드 패턴을 통해 알려진 공격을 탐지하는 침입탐지시스템이 정보보호시스템의 주류를 이루었다. 그러나 최근들어 웜과 같은 악성코드의 확산속도와 피해가 급속히 증가하면서, 알려지지 않은 이상 트래픽에 대한 탐지관련 연구가 활발히 이루어지고 있다. 특히 개별시스템이 아닌 네트워크 관점에서의 트래픽 통계정보를 이용하는 탐지 방법들이 주류를 이루고 있는데, 실제 검증을 위한 네트워크 트래픽 Raw 데이터나 실험에 적합한 통계정보를 확보하는데는 많은 어려움이 존재한다. 이에 본 논문에서는 연구에서 도출된 공격탐지 기법을 검증하기 위한 네트워크 트래픽 Raw 데이터와 시계열 같은 통계정보 추출 기법을 제시한다. 또한 혼합된 트래픽의 유효성을 확인하여, 탐지실험에 적합함을 보인다.

• 대한기계학회논문집B
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• 제31권5호
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• pp.435-447
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• 2007

Recently, as MEMS and NEMS devices have been widely used in the various engineering applications, the characteristics of nanoscale systems are investigated in the limelight. However, as opposed to a macroscale system, the identification of the state of nanoscale systems is extremely hard because they can include only the order of $10^3{\sim}10^5$ molecules, which requires highly expensive and accurate experimental apparatus for an investigation. This limitations make the study on nanoscale system use computer simulations. Therefore, it is strongly required to identify the state of nanoscale system simulated in computer simulation. In this molecular dynamics(MD) study, we suggest that the potential energy of individual molecule can be used as criterion for defining the state of clusters or nanoscale systems. In addition, we compared the phase state from the potential energy with one from the radial distribution function(RDF) for verification. The comparison showed that the intermolecular potential energy can be used as a criteria distinguishing the phase state of nanoscale systems.

• 한국음향학회지
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• 제20권3호
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• pp.91-97
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• 2001

능동소나 시스템에서 표적신호의 근거리 정보가 중요해짐에 따라, 표적 음향산란 신호의 고유한 특성을 분석하기 위해 실험적인 방법과 시뮬레이션 기법이 사용된다. 본 논문에서는 표적신호 합성을 위해 축소표적 반향실험을 수행하였고. 자료의 분석 결과 축소표적의 음향산란은 거울면 반사의 영향이 큰 것으로 분석되어, 표적신호 합성에서 기하광학이론을 응용하였다. 복잡한 형태의 표적을 여러 표본형상으로 분리하고, 각 표본형상의 기여도를 신호의 위상과 강도를 줌으로써 계산하였으며, 표적신호 합성모델의 검증을 위해 실제 축소표적 실험 결과와 비교하였다.

• KIEAE Journal
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• 제13권2호
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• pp.131-139
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• 2013

The aim of this dissertation is establishing internal indicator list for achieving policy goal of Carbon Neutrality Green City. First of all, it started to construct the basic system of planning indicator based on through comprehension of current studies such as advanced researches, government guidelines and green building certifications. And then it was set up final indicator list through inspecting FGI (Focus Group Interview), Verification of suitability, and Analysis of importance). As a result of this research, the planning indicator divided three steps and there were classified four fields in the top-level; Green Land and Ecology, Green Energy, Green Resource and Transportation, Green Living and Institution. According to the data, it deducted four items (ratio of green land, site plan, heat island and management of climate, base of nature ecology) and twelve index in the field of green land and ecology, three item(energy conservation and self-supporting, energy efficiency, new regeneration energy) and twelve index in the field of green energy and regeneration, five items(water resources utilize and circulation, other resource reduction and circulation, public transportation, green transportation plan) and fifteen index. Totally, Planning Indicators of forty nine were deducted. Therefore, there was the result of importance analysis that the indicators of plan and maintain management as the side of space for carbon neutrality were more appreciated than carbon reduction of individual building.

• 디지털산업정보학회논문지
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• 제8권2호
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• pp.31-40
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• 2012

Face recognition refers to the process of identifying individuals based on their facial features. It has recently become one of the most popular research areas in the fields of computer vision, machine learning, and pattern recognition because it spans numerous consumer applications, such as access control, surveillance, security, credit-card verification, and criminal identification. However, illumination variation on face generally cause performance degradation of face recognition systems under practical environments. Thus, this paper proposes an novel face recognition system using a fusion approach based on local binary pattern and two-dimensional principal component analysis. To minimize illumination effects, the face image undergoes the local binary pattern operation, and the resultant image are divided into two sub-images. Then, two-dimensional principal component analysis algorithm is separately applied to each sub-images. The individual scores obtained from two sub-images are integrated using a weighted-summation rule, and the fused-score is utilized to classify the unknown user. The performance evaluation of the proposed system was performed using the Yale B database and CMU-PIE database, and the proposed method shows the better recognition results in comparison with existing face recognition techniques.

• 한국항공우주학회지
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• 제34권4호
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• pp.89-101
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• 2006

본 논문에서는 HAUSAT-2 전력계의 설계와 각 모드별로 에너지 평형 해석을 통한 전력계 설계의 타당성을 검증하였다. 태양전지판은 GaAs 셀을 사용하였고 디지털 방식의 최대 전력 추적기를 채택하였다. 배터리 팩은 4개의 Li-Ion 셀로 구성하였고 최대 전력 추적기와 배터리 충전 조절기로 배터리 충전 기능을 구현하였다. 전력 제어기는 DC-DC 변환기로 요구되는 전압을 출력하고 상용 IC 및 MOSFET으로 이루어진 전력 분배기가 서브시스템 및 탑재체에 전력을 분배시킨다. 전력생성 분석은 다양한 승교점 지방시(LTAN)를 가지는 궤도를 고려하여 수행하였으며, 이 중 HAUSAT-2의 임무 수행에 적합한 궤도를 선정하여 모드별 전력 사항을 반영하여 에너지 평형 해석(EBA)을 진행하였다.

• 한국항공운항학회지
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• 제28권1호
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• pp.75-82
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• 2020

To compare and analyze the differences between flight simulation and actual flight among 130 army helicopter pilot training subjects, the correlation analysis was performed first through t-testing and multiple regression analysis of individual characteristics and flight simulation and actual instrument flight training, which were analyzed significantly in the age (a3) and service classification (a5) of the six verification factors. This has been shown to be significant, with no difference between the flight simulator and the actual flight. Second, in order to study the correlation between aircraft types, the flight evaluation (v1) was analyzed as a dependent variable for the performance of the flight simulator (KUH: s2, UH60: s3, AH-1S: s5, UH-1H: s6), and the results of the multiple regression analysis of the flight simulator evaluation (s1) were analyzed, in contrast, as a dependent variable, and in conclusion, the training of the flight simulator provided statistical data on the possibility of replacing the actual flight training, which is thought to contribute to the orientation, budget reduction and aviation safety of the pilot training.