• 한국컴퓨터정보학회논문지
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• 제21권2호
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• pp.113-122
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• 2016

This study investigates how anticipated value(attainment value, intrinsic value, utility value, and reward value) and self-efficacy in providing information have an influence on continuance intention to provide information in the context of online community or social media. We propose a conceptual model for examining the framework for the effect of anticipated value on attitude toward providing information, and the effect of attitude toward providing information and self-efficacy in providing information on continuance intention to provide information. Proposed research model is empirically assessed using the survey data obtained from 221 respondents in Korea. Results show that attainment value and intrinsic value have a significant impact on attitude toward providing information, whereas utility value and reward value are found to be insignificant. In addition, attitude toward providing information and self-efficacy in providing information are positively and significantly related to continuance intention to provide information.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1243-1246
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• 2003

It is known that structure of Human's brain information system is controlled by cerebral cortex mainly. Cerebral cortex is divided by sensory area, motor area and associated area largely. Sensory area takes part in information from environment and motor area is actuation by decision as associated area determined. It is possible to copy brain information system by input-output pattern. but there is difficulty in modeling of memorizing new information. Such action is performed by Limbic Lobe and Papez circuit which is controlled by intrinsic emotion. So we need of definition of emotion's role in decision. In this paper, we define roles of emotion in intrinsic decision using Dynamic Cognitive Maps(DCMs). The emotion is evaluated by outside information then intrinsic decision performed as how much emotion variated. The dynamic cognitive maps take part in emotion evaluating process.

• 한국콘텐츠학회논문지
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• 제15권5호
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• pp.607-619
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• 2015

본 연구는 개인 창의성의 선행변인으로 가족친화적 조직문화와 내재적 동기부여의 효과를 검증함과 동시에 내재적 동기부여의 매개효과와 TMX의 조절효과를 살펴보았다. 가설검증은 구조방정식을 사용하였으며, 연구표본은 ICT기업의 연구개발 및 지원부서의 구성원 229명을 대상으로 하였다. 연구결과 첫째, 가족친화적 조직문화는 개인 창의성에 부정적인 영향을 주었다. 둘째, 가족친화적 조직문화는 내재적 동기부여에는 긍정적인 영향을 미쳤다. 셋째, 조직구성원들의 내재적 동기부여는 개인 창의성에 긍정적인 영향을 미쳤다. 넷째, 가족친화적 조직문화와 창의성의 관계에서 내재적 동기부여는 매개역할을 하였다. 넷째, TMX는 가족친화적 조직문화와 내재적 동기부여의 관계에서 조절역할을 하였다. 그러나 가족친화적 조직문화와 창의성 또는 내재적 동기부여와 창의성의 관계에서 TMX의 조절역할은 검증되지 않았다. 마지막으로 토의 및 결론을 통해, 본 연구의 시사점과 한계점 및 향후 연구방향을 제시하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.752-757
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• 2003

Recently, 3D structure recovery through self-calibration of camera has been actively researched. Traditional calibration algorithm requires known 3D coordinates of the control points while self-calibration only requires the corresponding points of images, thus it has more flexibility in real application. In general, self-calibration algorithm results in the nonlinear optimization problem using constraints from the intrinsic parameters of the camera. Thus, it requires initial value for the nonlinear minimization. Traditional approaches get the initial values assuming they have the same intrinsic parameters while they are dealing with the situation where the intrinsic parameters of the camera may change. In this paper, we propose new initialization method using the minimum 2 images. Proposed method is based on the assumption that the least violation of the camera’s intrinsic parameter gives more stable initial value. Synthetic and real experiment shows this result.

• 경영정보학연구
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• 제12권3호
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• pp.159-175
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• 2010

정보기술 수용에 있어서 내재적 동기의 중요성은 여러 연구를 통해 강조되었을 뿐 아니라 다양한 방식으로 분석되었다. 그러나 이와 같은 연구의 대부분은 온라인 쇼핑이나 온라인 게임과 같은 쾌락적 시스템(hedonic systems)을 대상으로 이루어진 것이고 자바(Java)와 같은 프로그래밍 언어의 수용을 내재적 동기의 관점에서 다룬 연구는 흔치 않다. 본 연구의 목적은 내재적 동기가 프로그래밍 언어 수용에 미치는 영향을 종단적으로 분석하는 것이다. 이를 위해 내재적 동기에 관련된 변수인 지각된 놀이성과 함께 전통적인 정보기술 수용에 근간이 되는 유용성을 고려한 연구모형을 믿음갱신 이론(belief updating theory)에 의해 종단적으로 확장하여 제안하였다. 이 모형의 타당성을 보이기 위해 자바 수업을 수강하는 대학생을 대상으로 두 번에 걸친 설문조사를 하여 부분최소자송법에 의해 분석한 결과 본 연구에서 제시한 대부분의 가성들이 통계적으로 지지되었다.

• 대한전자공학회논문지SD
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• 제46권11호
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• pp.1-7
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• 2009

본 논문에서는 short-channel intrinsic-body SDG SOI MOSFET의 문턱전압 도출을 위한 간단한 해석적 모델을 제시하였다. Intrinsic silicon 채널 영역 및 gate oxide 내에서의 2차원 Laplace 방정식을 반복법(iteration method)으로 풀어 각 영역 내에서의 전위 분포를 채널에 수직한 방향의 좌표에 대해 4차 및 5차 다항식으로 표현하였으며 이로부터 표면전위를 도출하였다. 표면전위의 최소치가 0이 되는 게이트 전압을 문턱전압으로 제안하여 closed-form의 문턱전압 식을 도출하였다. 도출된 문턱전압 표현식을 모의 실험한 결과, 소자의 parameter와 가해진 bias 전압에 대한 정확한 의존성을 확인할 수 있었다.

• 대한전자공학회논문지SD
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• 제48권10호
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• pp.54-61
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• 2011

본 논문에서는 intrinsic-body cylindrical/surrounding gate SOI MOSFET의 I-V 특성 도출을 위한 간단한 해석적 모델을 제시하였다. Intrinsic 실리콘 채널 영역에서의 Poisson 방정식과 gate oxide 내에서의 Laplace 방정식을 해석적으로 풀어 소스와 드레인 양단 끝에서의 표면 전위 분포를 bisection method를 이용하여 구하였다. 구해진 표면 전위를 바탕으로 closed-form의 I-V 특성 식을 도출하였다. 도출된 I-V 특성 표현 식을 모의 실험한 결과, 소자의 parameter와 가해진 bias 전압에 대한 비교적 정확한 의존성을 확인할 수 있었다.

• 한국컴퓨터정보학회논문지
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• 제23권10호
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• pp.143-149
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• 2018

The purpose of this study was to construct and validate a middle - aged exercise adherence model. The model was designed based on self - determination theory. Participants were 215 middle-aged men and women aged 40-60 who had been exercising for more than six months. Data was collected from four big cities of Seoul, Busan, Gwangju and Daejeon in Korea, using a questionnaire consisting of basic psychological needs, intrinsic motivation, social support, and exercise adherence. Data were analyzed with SPSS 19.0 and AMOS 20.0. Social support and exercise adherence of the questionnaire were partially revised and verified by confirmatory factor analysis. The results of the study were as follows. The model's fit indices: GFI = .938, AGFI) = .915, NFI = .912, CFI = .941, and RMSEA = 0.041. The model satisfied the model fit of the structural model equation. This study model based on self - determination theory was confirmed that basic psychological needs, intrinsic motivation, and social support were important factors for the middle - aged's exercise adherence. Basic psychological need and intrinsic motivation had a direct influence on the adherence of exercise, and social support indirectly influenced the exercise adherence through intrinsic motivation. Both basic psychological needs and social support directly affected internal motivation. The most influential factor in the middle - aged's exercise adherence was intrinsic motivation. In conclusion, it was found that intrinsic motivation such as interest and fun is important for the middle - aged to continue the exercise. Also, the basic psychological needs were important for middle aged's exercise adherence. The results of this study will provide basic data for restoring or maintaining health by continuing exercise. Strategies that enhance intrinsic motivation are needed when a chronic ill person needs to continue long-term exercising.

• 한국정보시스템학회지:정보시스템연구
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• 제32권1호
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• pp.179-199
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• 2023

Purpose This study builds a prediction model to find stocks that can reach intrinsic value among KOSPI and KOSDAQ-listed companies to improve the stability and profitability of the stock investment. And investment simulations are conducted to verify whether stock investment performance is improved by comparing the prediction model, random stock selection, and the market indexes. Design/methodology/approach Value investment theory and machine learning techniques are applied to build the model. Various experiments find conditions such as the algorithm with the best predictive performance, learning period, and intrinsic value-reaching period. This study selects stocks through the prediction model learned with inventive variables, does not limit the holding period after buying to reach the intrinsic value of the stocks, and targets all KOSPI and KOSDAQ companies. The stock and financial data are collected for 21 years (2001-2021). Findings As a result of the experiment, using the random forest technique, the prediction model's performance was the best with one year of learning period and within one year of the intrinsic value reaching period. As a result of the investment simulation, the cumulative return of the prediction model was up to 1.68 times higher than the random stock selection and 17 times higher than the KOSPI index. The usefulness of the prediction model was confirmed in that the number of intrinsic values reaching the predicted stock was up to 70% higher than the random selection.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 추계학술대회
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• pp.39-47
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• 2003

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So, it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor by Berger and Pericchi (1996) and the fractional Bayes factor by O'Hagan (1995) have been used to overcome this problems. This paper suggests intrinsic priors for testing the equality of two lognormal means, whose Bayes factors are asymptotically equivalent to the corresponding fractional Bayes factors. Using proposed intrinsic priors, we demonstrate our results with a simulated dataset.