• Journal of the KSME
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• v.24 no.6
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• pp.437-445
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• 1984

우리나라의 기계설계가 낙후된 것은, 기계설계 역사가 짧아 숙련된 기계설계자가 너무나 적음은 물론이고, 무엇보다도 형상결정에 대한 이렇다할 서적이나 지침서가 뚜렷이 없어, 최종결정을 못 내리기 때문에, 막대한 대가를 지불하고 외국설계도면에 거의 전부가 의존해 왔기 때문이기도 하다. 따라서 본 해설에서는 해석적방법이 어려운 형상의 결정을 주요 요인에 따라 분류하고 체계적으로 정리하여, 기계설계에서 일반적으로 적용될 수 있는 기본 또는 공통원칙이나, 원리를 제시하므로서, 기계설계에 있어서, 숙련된 기계설계자는 물론이고 초보자도 어려움없이 신속하게 형상을 결정할 수 있도록, 체계적이고 집적된 형상결정 방안 및 지침서에 대해 중점적으로 기 술하려고 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.291-293
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• 2016

해상교통관제사의 업무는 선박교통의 안전과 효율을 목적으로 하는 의사결정의 연속이다. 의사결정은 문제해결과정의 일종으로 가치 판단을 포함한다. 올바른 의사결정을 내리기 위해서는 해상교통상황을 정확히 파악하는 것이 우선되어야 하지만, 상황판단을 제대로 했다하더라도 의사결정을 그르칠 위험이 있다는 측면에서 관제사가 적극적으로 습득하여야 하는 인지과제다. 본고에서는 먼저 관제사에게 필요한 의사결정 이론에 대해서 기술한 뒤, 이를 구체적인 관제과제에 적용할 때 합리적인 의사결정 모델보다는 휴리스틱 또는 재인촉발의사결정 모델을 사용한다는 점을 밝혔다. 또한 관제사의 의사결정 과정에서 발생할 수 있는 실수를 사례 위주로 고찰하였다. 특히 관제사의 업무역량 향상을 위해서 의사결정방법을 어떻게 훈련할 것인가를 제안하였다.

• 한국벤처창업학회:학술대회논문집
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• 2020.06a
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• pp.107-112
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• 2020

많은 사람들은 미래에 발생할 일에 대한 결정을 내리기 전 수 많은 생각과 심리적 변화를 겪게 된다. 특히 우리 삶에서 자신의 직업과 같은 경제적 및 사회적 측면에 대한 고려와 함께 중요한 선택을 하게 되는 상황에서 그 선택은 미래에 경험하게 될 후회의 정도에 따라 현재의 행동이 결정된다. 이러한 심리적 기제는 이미 심리학과 마케팅 분야에서는 감정 및 정서적 요인들이 의사결정 과정에 직접적이고 중요한 영향을 미친다는 사실에 공감하며 관련 연구들이 활발히 이루어져 왔다. 이처럼 창업 분야에서도 예비창업가들이 창업을 결정하기 위한 중요한 심리적 요인으로 후회라는 감정이 직접적으로 영향을 미치는지 확인할 필요가 있다. 따라서 본 연구에서는 많은 창업가들의 의사결정에서 발생되는 예상되는 후회(anticipated regret)가 창업 행동(entrepreneurial behavior)에 영향을 미치는 가를 살펴보고자 하였다. 그리고 이와 아울러 창업가의 예상되는 후회가 창업 행동에 영향을 미칠 때, 창업가의 자기 충족적 예언(self fulfilling prophecy)과 창업가적 열정(entrepreneurial passion)의 수준이 어떠한 영향을 미치는지 알아보고자 한다. 이를 위해 창업가의 예상되는 후회와 목표지향성, 그리고 창업가적 열정에 대한 선행연구를 검토함으로써 가설을 설정하였다. 그리고 이를 검증하기 위해 창업가 145명을 대상으로 두 차례에 걸쳐 설문을 실시하여 연구를 진행하였다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.11a
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• pp.131-134
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• 2011

최근 건축물 화재에 있어서 가장 큰 문제는 화재지점의 연소보다 연소 확대를 통한 인접건축물의 화재로 전파되는 2차적 피해를 들 수 있다. 또한 이러한 화재 피해의 경우 화재원인을 명확하게 결정내리기 힘들기 때문에 화재 조사 분야에서도 큰 어려움이 있다. 이러한 현실에서 호서대학교에서는 2009년 도시화재의 물리적 연소성상 예측모델을 위한 실제 실험을 대상으로 CFD 중 FDS를 이용하여 이를 해석하고 이를 통한 화재조사분야에서 활용범위와 신뢰도를 제시하고자 한다.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.93-112
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• 2011

For the success of an online retail market, it is important to allow consumers to get more helpful reviews by figuring out the factors determining the helpfulness of online reviews. On the basis of elaboration likelihood model, this study analyzes which factors determine the helpfulness of reviews and how the factors affecting the helpfulness of an online consumer review differ for product price. For this study, 75,226 online consumer reviews were collected from Amazon.com. Furthermore, additional information on review messages was also gathered by carrying out a content analysis on the review messages. This study shows that both of peripheral cues such as review rating and reviewer's credibility and central cues such as word count of review message and the proportion of negative words influence the helpfulness of review. In addition, the result of this study reveals that each consumer focuses on different information sources of reviews depending on the product price.

• Korean Journal of Cognitive Science
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• v.22 no.4
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• pp.405-427
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• 2011

We explored whether unconscious thought affects the processing of scientific technology information concerning nuclear power. Instead of conscious deliberation of cost-benefit analysis of nuclear energy, we would like to show the effects of unconscious thought on decision making. Participants were presented with all information about nuclear power and then judged the most positive as well as the most negative items. Participants in the unconscious thought condition performed a 2-back digit memory task as distractor before they made any decision regarding the nuclear power. Those in conscious thought condition were asked to carefully evaluate all presented information while participants in the immediate decision condition made a quick decision. Based on the analysis of previous studies on this topic, we attempted to obtain the potential effects of unconscious thought by modifying materials and experimental procedures including the use of noise. Even with these new manipulations, the effect of unconscious thought on decision making was not observed in Experiment 1. In contrast, we observed a significant effect of unconscious thought on decision making when task purpose was clearly presented after participants have finished reading all information regarding nuclear power. The results of the present study indicate that if the task purpose were clearly presented, the effects of unconscious thoughts on decision making could be observed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.13-24
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• 2017

This paper presents a sequentially combined method of determining location conditions, the number of unmanned parcel service box and their optimal locations. First of all, block, accessibility and main public facilities are considered as location conditions and then set-covering model and p-median model are adopted for deciding the number of unmanned parcel service box and optimal locations, respectively. A case study for a region composed of small housings and multiplex housings in Ansan is conducted to prove the validation and application of the proposed method. The result indicates that 2 unmanned parcel service boxes are necessary in specific public places. The research contributes to resonable choice of unmanned parcel service boxes, crime reduction relevant to delivery man impersonation and economic benefit due to parcel service industry growth.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.195-204
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• 2008

Multi-Criteria Analysis is one method for optimizing decisions that include numerous characteristics and objective functions. The Analytic Hierarchy Process (AHP) is used as a general Multi-Criteria Analysis considering many critical issues. However, since validation procedures for the decision reliability of AHP valuers had been left off existing methodologies, a new methodology including such validation procedures is required to make more reliable decisions. In this research, idea decision results are derived using Monte Carlo Simulation in cases where AHP valuers do not have expertise in the specific project, and these results are compared with the results derived from experts to develop a new analysis model to make more reliable decisions. Finally, this new analysis is applied to various field case studies of road and rail carried out by the Korea Development Institute (KDI) between 2003 and 2006 to validate the new analysis model. The study found that approximately 20% of decisions resulting from the existing methodology are considered prudent. In future studies, the authors suggest analyzing the correlation between initial weights and final results since final results are enormously influenced by the initial weight.

• The Journal of Korea CHUNA Manual Medicine
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• v.5 no.1
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• pp.93-100
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• 2004

Low back pain(LBP) is known as one of the diseases that produce severe pains with 80% of the whole population having experienced it and reported that, even at this moment, 20-30% of the world population is suffering from it. The writer has performed 'Conservative remedies (non-surgical procedures taken)' from $1^{st}$ of January 2003 to $31^{st}$ of December the same year for 76 cases who have been hospitalized in Jaseng Hospital and adopted as having been diagnosed either HIVD L4-5 or HIVD L5-S 1 or as having both. The clinical analysis was made through statistical researches which include : the changing degree in SLR test of the Cheongpa-Jeon(CP) taking patient group and the non-taking group, the change of VAS (Visual analogue scale) against pains, and the days of hospital treatment. The result demonstrated that the CP taking group showed higher changes in SLR test, bigger reduction In VAS changes and the days for hospitalization shorter than the group that didn't take CP.

• Convergence Security Journal
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• v.12 no.6
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• pp.85-92
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• 2012

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The finite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outliers, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical Process Control (SPC) can monitor the forecasting of software failure and there by contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of log Poission, log-linear and Parto distribution.