• 한국인터넷방송통신학회논문지
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• 제12권6호
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• pp.303-309
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• 2012

본 연구는 인체의 활동량과 음성 신호를 기반으로 에너지 소모량을 추정하고자 수행하였으며, 3축 가속도 센서와 PVDF(polyvinylidene fluoride) 필름을 이용하여 활동량과 음성 신호를 검출하였다. 인체의 움직임과 음성 신호, 그리고 실제 에너지 소모량 값은 MP-150 시스템과 호흡가스 분석기를 이용하여 수집하였다. 음성신호의 전력 값과 피험자의 체중을 독립 변수로 활용하였을 때 0.918의 R 제곱 값을 보였으며, 활동량 분석에 있어서는 SVM(signal vector magnitude), BMI(body mass index), 키, 그리고 나이를 독립 변수로 활용하였을 때 가장 높은 상관성을 나타냈다. 음성과 활동량을 토대로 하는 에너지 소모량 추정은 활동량만을 이용하여 추정하는 기존의 기기보다 정확한 결과값을 제공할 수 있음을 확인하였다.

• 한국측량학회지
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• 제9권1호
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• pp.97-107
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• 1991

본 연구에서는 리모트센싱과 GIS의 장점을 살려 하나의 시스템에서 여러 기능을 복합적으로 이용하기 위한 리모트센싱과 GIS의 통합을 시도한 것이다. 래스터와 벡터 데이타의 동시 통합 출력을 위한 중복 알고리즘을 개발하였으며, 리모트센싱과 GIS의 통합결과를 시험적용하기 위하여 인공위성 화상 데이타와 지형도 벡터 그래픽 데이타를 정확하게 통합시켰다. 실제 적용에서는 리모트센싱과 GIS의 주요 적용분야의 주제별 적용에 대한 데이타 모집과 중복 그리고 좌표계 변환을 통하여 대상지역에 다각적으로 적용할 수 있는 기법을 시도함으로써 벡터와 래스터의 중복의 효용성을 입증하고 복합적인 현안분석을 통해서 리모트센싱과 GIS의 복합적용을 위한 새로운 적용 기법을 제시하였다.

• 농촌계획
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• 제28권1호
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• pp.57-69
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• 2022

Crop classification is very important for estimating crop yield and figuring out accurate cultivation area. The purpose of this study is to classify crops harvested in fall in Idam-ri, Goesan-gun, Chungcheongbuk-do by using unmanned aerial vehicle (UAV) images and support vector machine (SVM) model. The study proceeded in the order of image acquisition, variable extraction, model building, and evaluation. First, RGB and multispectral image were acquired on September 13, 2021. Independent variables which were applied to Farm-Map, consisted gray level co-occurrence matrix (GLCM)-based texture characteristics by using RGB images, and multispectral reflectance data. The crop classification model was built using texture characteristics and reflectance data, and finally, accuracy evaluation was performed using the error matrix. As a result of the study, the classification model consisted of four types to compare the classification accuracy according to the combination of independent variables. The result of four types of model analysis, recursive feature elimination (RFE) model showed the highest accuracy with an overall accuracy (OA) of 88.64%, Kappa coefficient of 0.84. UAV-based RGB and multispectral images effectively classified cabbage, rice and soybean when the SVM model was applied. The results of this study provided capacity usefully in classifying crops using single-period images. These technologies are expected to improve the accuracy and efficiency of crop cultivation area surveys by supplementing additional data learning, and to provide basic data for estimating crop yields.

• 한국전자파학회논문지
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• 제28권10호
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• pp.825-831
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• 2017

실제 레이다가 운용되는 환경에서 발생되는 클러터는 비균질성(heterogeneous)의 특성을 갖는 동시에 바이스태틱 레이다나 모노스태틱 non-sidelooking 레이다 구조인 경우는 클러터의 비정상성(nonstationary) 특성도 갖는다. 이러한 특성에 의해서 클러터 신호를 추정하는데 필요한 IID(Independent Identically Distributed) secondary 데이터 개수에 제약이 따르므로 클러터 억제 성능이 저하된다. 본 논문에서는 바이스태틱 레이다 환경에서 Cell under test에 대한 사전정보만을 이용하여 클러터 신호를 추정함으로써 secondary 데이터 없이 클러터를 억제하는 알고리즘을 제시한다. 바이스태틱 클러터의 angle-Doppler 스펙트럼 상에서 구조 분석을 통해 사전정보로 부터 클러터를 추정하는 것이 가능함을 보이고, 고유치 해석에 의해 클러터 억제 과정을 제시한다. 마지막으로 시뮬레이션을 통해 제시하는 클러터 억제 알고리즘의 성능을 보인다.

• Molecular & Cellular Toxicology
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• 제4권1호
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• pp.72-77
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• 2008

The present study was undertaken to determine whether pioglitazone treatment influences on the agonist-induced vascular smooth muscle contraction and, if so, to investigate the related mechanism. The measurement of isometric contractions using a computerized data acquisition system was combined with molecular experiments. Pioglitazone decreased Rho-kinase activating agonist-induced contraction but not phorbol ester-induced contraction suggesting the least involvement of $Ca^{2+}$-independent thin filament regulation of contractility. Furthermore, pioglitazone decreased thromboxane $A_2$ mimeticinduced phosphorylation of MYPT1 at Thr855, the newly-highlighted site, instead of Thr696. In conclusion, this study provides the evidence and possible related mechanism concerning the vasorelaxing effect of pioglitazone as an antihypertensive on the agonist-induced contraction in rat aortic rings regardless of endothelial function.

• 지식경영연구
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• 제9권4호
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• pp.35-49
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• 2008

The purpose of the study is to develop and validate an instructional design model from the perspective of the knowledge creation. To serve the purpose, the researcher conducted 1) literature review to find causal relationship model among knowledge creation factors and to propose a hypothetical instructional design model, 2) data analysis with 50 senior level e-Learning instructional designers, and 3) testing the fitness of the proposed model and relevant causal-relational hypotheses. Results indicate; 1) the proposed model fit to the empirical evidence, 2) 6 hypotheses among 11 were validated. A typical instructional designer's personal competency was evidenced as the most powerful independent variable that predicted knowledge acquisition, knowledge sharing, and the application of the instructional models. However, the expected effect of instructional design models toward other dependent variable was not be found. In addition, further suggestions for the future research are addressed.

• 한국자동차공학회논문집
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• 제8권6호
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• pp.60-69
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• 2000

In order to obtain underwater or underground power sources, the closed cycle diesel engine is operated in the non air-breathing circuit system where the major species of the working fluid include oxygen, argon, and recycled exhaust gas. In the present study, the closed cycle diesel engine is designed to operate at the intake pressure between 2 and 3 bar. For operating in the open-cycle and closed-cycle situations, experimental apparatus using this diesel engine is made with ACAP as data acquisition system. In open, semi-open, and closed cycle modes, the predicted p-$\theta$ and P-V are compared with load bank power. Computation have been performed for wide range of major experimental parameters such as the specific fuel and oxygen concentrations, fuel conversion efficiency and polytropic exponent, IMEP and maximum cylinder pressure.

• 한국국방경영분석학회지
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• 제25권2호
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• pp.44-61
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• 1999

Cost estimation has posed a significant challenge to estimators, planners, and managers in both government and military. Considerable historical evidence shows that accurate cost estimation has been difficult to achieve across a wide range of projects, including weapon systems. This paper introduces new cost estimating concept, CAIV(Cost As an Independent Variable) and a cost estimating case study using PRICE model, computer aided parametric estimating models(CAPE) for K1 tank cost estimate. CAIV concept is to set realistic but aggressive cost objectives easily in each acquisition program and to achieve cost, schedule, and performance objectives considering various managing risks with a project manager and industry teams. The Price model is one of computer aided cost estimating models and widely used in U.S. defense system analysis as a tool for CAIV. We analyze theories, inputs, outputs of the PRICE model and present a case study for K1 tank to estimate costs in requirement and concept phase, program and budgeting phase, and life cycle phase. Finally we obtain results that the Price model can be used in various phases of PPBEES depending upon available data and time.

• 한국치위생학회지
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• 제11권2호
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• pp.149-158
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• 2011

Objectives : The objective of this study was to analyze cognition and status of oral health education of dental hygienists who manage the patients visiting dental clinics and to utilize the findings as continuous study data required for development of systematic oral health education program for management of peridontal disease of adults. Methods : Survey was carried out for 261 dental hygienists working in dental clinics who are performing oral health education of patients with peridontal disease living. Results : 1. In the socio-dynamic diagnosis, it was analyzed that, the younger the age is and the lower the career is, the more the work is centered around assisting medical treatment job and, the older the age is and the higher the career is, the work is centered around oral health education job. 2. In the behavioral diagnosis, it was analyzed that, as to source of knowledge acquisition, guide of dentists and senior dental hygienists was the highest and, as to education media, visual education and demonstration education were mainly used. 3. In educational diagnosis, as to the degree of knowledge about oral health education and the degree of practice, it showed that the degree of knowledge was lower than the degree of practice in peridontal disease process and oral prophylaxis as well as scaling part. 4. In both the cases of independent practice and group practice, it showed that the most frequent obstacle was insufficient educational materials and tools and it was analyzed that acquisition of new knowledge and technology is required as a matter to be improved. Conclusions : It seems to be required for the dental hygienists to develop detailed knowledge and professional technology in order to induce actions and motive of patients during oral health education of peridontal patients and to develop and produce data for efficient education of peridontal patients.

• 한국인터넷방송통신학회논문지
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• 제21권5호
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• pp.127-134
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• 2021

최근 빅데이터 산업의 확대로 고품질의 데이터를 확보하는 것이 중요한 이슈로 떠오르고 있다. 고품질의 데이터를 확보하기 위해서는 데이터에 품질에 대한 정확한 평가가 선행되어야 한다. 데이터의 품질은 데이터에 대한 통계와 같은 메타정보를 통해 평가할 수 있는데 이러한 메타정보를 자동으로 추출하는 기능을 데이터 프로파일링이라고 하다. 지금까지 데이터 프로파일링 소프트웨어는 기존의 데이터 품질 또는 시각화 관련 소프트웨어의 부품이나 추가적인 서비스로 제공되는 것이 일반적이었다. 따라서 프로파일링이 요구되는 다양한 환경에서 직접적으로 사용하기에는 적합하지 않았다. 본 논문에서는 이를 해결하기 위해 마이크로 서비스 아키텍처를 적용하여 다양한 환경에서 서비스가 가능한 데이터 프로파일링 소프트웨어의 개발 결과를 제시한다. 개발된 데이터 프로파일러는 restful API를 통해 데이터의 메타정보에 대한 요청과 응답을 제공하여 사용하기 쉬운 서비스를 제공한다. 또한, 특정 환경에 종속되지 않고 다양한 빅데이터 플랫폼이나 데이터 분석 도구들과 원활한 연계가 가능하다는 장점이 있다.