• Journal of Service Research and Studies
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• v.8 no.3
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• pp.115-136
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• 2018

Recently R&D projects take a collaborative works which involve industries, research institutions, and academic fields together. Collaborative R&D enjoys the economy of scales and economic efficiencies in that costs and risks share each others and compensate their competences. But there are some problems. The imbalance of power, the asymmetry of information, loss of trust, and opportunism among the co-researchers make the collaborative R&D difficult to succeed and disappointed outcomes. There are many variables on explaining the interorganizational relationships. Among them, I choose some relevant variables, construct research model and some hypotheses. Independent variables are fairness and quality, and dependent variables is loyalty. And trust are treated as the intervening variable between the independent variables and dependent variable. To test the research model and some hypothesis empirically, I collected the data using the questionnaire, The questionnaire was distributed to the persons that do collaborative R&D in Daeduck Innopolis. Sample size was 448, it was enough to analyze statistically. Data were analysed using the SPSS and AMOS. Procedural fairness and distributive fairness affect the organizational trust positively, and procedural fairness and distributive fairness affect member trust positively. Procedural quality and outcome quality affect the organizational quality positively. Procedural quality affects the member trust positively, but outcome quality does not affect member trust. Procedural fairness and distributive fairness does not affect the loyalty positively. Procedural quality does not affects loyalty, but outcome quality affects the loyalty positively. The organizational trust affects loyalty positively, and member quality affect loyalty positively.

• Convergence Security Journal
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• v.17 no.2
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• pp.89-100
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• 2017

Last January 2017, Donald Trump was inaugurated as the 45th president of the United States. He actively claimed a priority for the United States, which is referred as America First, during his presidential campaign. However, his political assertions turned out to be as Isolationist in terms of foreign policy. It becomes a serious problem for South Korea because South Korea is solely dependent on the U.S. "Extended Deterrence" of North Korea's nuclear threats. In other words, there will be a higher likelihood for North Korea to misinterpret the relationship between South Korea and the U.S. Due to his foreign policy, there is a possible provocation by North Korea. Therefore, ROK-U.S. Alliance, the model of Asymmetry Alliance in order to prepare for North Korea's nuclear provocation, will be evaluated through America's perspective based on "Autonomy-Security Trade-off Model". For this purpose, this research will evaluate ROK-U.S. Alliance with regards to a threat perception, policy coordination, and a value as an ally. Based on the evaluation, it will deduce tactical implications of South Korea's alliance.

• Journal of Science and Technology Studies
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• v.13 no.2
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• pp.71-110
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• 2013

As a patient has recently been recognized as not a passive object but a subject of medical services, various attempts are being made to strengthen the status of a patient. Medical communication which has been led by a doctor so far is being made with a focus on a patient due to sovereignty of a consumer and activation of medical information. The purpose of this paper is to investigate the process to strengthen the status of a patient as a consumer of health care service through a patient association and consumer movement as medical information becomes public. As the patient centered medical service is creating a variety of health care service market using IT technologies, it has contributed to the improvement on asymmetry of medical information. As the expansion of IT fusion health care market is bringing the fundamental change into the traditional relationship between a doctor and a patient, the medical service market is being re-organized. A patient centered medical service such as expansion of mobile health care model led by a patient is being accelerated.

• The Korean Journal of Financial Management
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• v.25 no.3
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• pp.79-109
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• 2008

According to asymmetric information hypothesis (for example, Ross (1977), Myers and Majluf (1984)), the impact of seasoned equity offering (SEO) announcement on the stock price depends mainly on the informational market efficiency. Despite of the importance of this fact, most of the previous SEO-related studies have done under the assumption of equal informational market efficiency among sample firms. This study intends to solve this problematic assumption and explores the real impact of SEO announcement on the stock prices. For this purpose, we divide 122 SEO firms into two subgroups; one with firms from KOSPI200 and the other including firms from the rest of KOSPI, assuming the former is more informationally efficient than the latter. Different from the US market-based study demonstrating short-and long-term negative price impacts of SEO announcement, most of the Korean market-based ones show price increases up until the announcement and decreases just after the announcement and in the long run. These previous studies attribute this difference to the different market system and regulation between them. Our results indicate that this discrepancy can be attributed to the different degree of market efficiency as well as the different market system and regulation.

• Journal of Technology Innovation
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• v.30 no.1
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• pp.57-104
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• 2022

The government has supported the innovation of private firms by intervening the market for various purposes, such as preventing market failure, alleviating information asymmetry, and allocating resources efficiently. Although the government's R&D budget increased rapidly in the 2000s, it is not clear whether the government intervention has made desirable impact on the market. To address this, the current study attempts to explore this issue by doing a systematic literature review on foreign and domestic papers in an integrated way. In total, 168 studies are analyzed using contents analysis approach and various lens, such as policy additionality, policy tools, firm size, unit of analysis, data and method, are adopted for analysis. Overlapping policy target, time lag between government intervention and policy effects, non-linearity of financial supports, interference between different polices, and out-dated R&D tax incentive system are reported as factors hampering the effect of the government intervention. Many policy prescriptions, such as program evaluation indices reflecting behavioral additionality, an introduction of policy mix and evidence-based policy using machine learning, are suggested to improve these hurdles.

• Information Systems Review
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• v.22 no.1
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• pp.33-57
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• 2020

Although cryptocurrency which can promote innovation in the blockchain ecosystem is published for many useful purposes, in Korea, cryptocurrency is recognized only as a means of investment for the profit. The fact emphasizes only the speculative nature of the cryptocurrency, so investor negates the fundamental purpose of cryptocurrency and hinders innovation in the blockchain ecosystem. The purpose of this study is to investigate the cause of cryptocurrency perception and speculative behavior of domestic cryptocurrency investors from an academic perspective. We use a model that reflects the traditional considerations and cryptocurrency's characteristics in investment. Using the model, we can explain the cause of misperception of cryptocurrency through the theory of bounded rationality. In building the research model, we use variables of venture and angel investor's consideration used in investment decisions and collect the keywords from indexes of whitepaper to reflect the properties of cryptocurrency. This study mentions that, due to the imitations presented by Simon, individuals are forced to perceive cryptocurrency as a means of speculation and to make irrational decisions that impair ecosystem health. We analyze whether there is a significant difference in rationality in decision made by the sample under limited knowledge and imperfect information constraints. As a result, imperfect information constraints led investors to consider only irrational criteria in decision making. From this result, this study suggests that information asymmetry needs to be relaxed so that investment can be pursued together with rational investment and development of blockchain ecosystem. In addition, the industry can capture strategic insights for successful financing through ICO by enabling better understanding of investor decision-making.

• Journal of the Korean Society for Nondestructive Testing
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• v.21 no.5
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• pp.510-517
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• 2001

This paper describes an initial study for the application of eddy current pattern recognition approaches to more realistic flaw characterization in steam generator tubes. For this purpose, finite-element model-based theoretical eddy current testing (ECT) signals are simulated from 5 types of OD flaws with the variation in flaw size parameters and testing frequency. In addition, three kinds of software are developed for the convenience in the application of steps in pattern recognition approaches such as feature extraction feature selection and classification by probabilistic neural networks (PNNs). The cross point of the ECT signals simulated from flaws with non-symmetric cross-sections shows the deviation from the origin of the impedance plane. New features taking advantages of this phenomenon are added to complete the feature set with a total of 18 features. Then, classification with PNNs are performed based on this feature set. The PNN classifiers show high performance for the identification of symmetry in the cross-section of a flaw. However, they show very limited success in the interrogation of the sharpness of flaw tips.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.9
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• pp.1583-1592
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• 2001

연구의 목적은 병행수입제도의 정책운용적인 관점에서 고가품 수입의 큰 비중을 차지 하고있는 럭셔리의류 브랜드를 중심으로 병행수입제도 도입 이후 현 시점에서 공정경쟁의 관점에서 병행수입의 문제점 추출과 대안을 도출함으로써 정책적 시사점을 제시하고자 한다. 연구 방법은 문헌조사와 in-depth 인터뷰를 실시하였다. 연구 결과 제도적 측면에서는 병행수입제도 도입 당시 병행수입과 직접 관련된 지적재산법과 독점규제법 사이에는 전용사용권자의 보호와 규제라는 입법적 목적이 서로 다른 이유로 병행수입 도입 여부에 대한 논란이 있는 것으로 나타났다 , 상표권 침해 기준의 모호, 세관절차에 있어서의 문제점 등이 추출되었다. 럭셔리의류 산업적 측면에서 병행수입제도는 수입물품의 가격인하를 선도하여 소비자 이익 증진에 기 여 하는 반면에 명품의 유통경로가 다양해짐에 따라 위조상품의 처벌실적 이 증가하고, 이월상품과overrun된 제품의 저가수입 등의 문제점이 야기되고 있다. 이에 대한 정책적 해결방안으로는 공정거래법의 개정을 통한 병행수입 허용기준의 보완, 지적재산권법 에 병행수입허용 규정 명시 , 소비자 관점에서의 병행수입 제품에 대한 정확한 정보의 전달 등의 내용 보완이 이루어져 야 한다. 본 연구의 시사점은 정책당국에게 경쟁조건의 Global Standard라는 견지에서 제도적 운용의 개선이 시급히 이루어져야 하는 논거와 토대를 제공하였다. 또한 전용사용권자와 병행수입업체에는 정보의 비대칭성에 의존한 판매전략을 지양하고 소비자 보호와 적 정 한 상표권 보호의 합리적 조화가 궁극적으로 생존의 핵심전략임을 인식시켜 줄 수 있는 계기를 마련해 주었다.가치관은 이들의 의복관심과 의복착용 그리고 구매에 지대한 영향을 미친다는 것을 알 수 있다.포제로 평가되었다. 모든 남자포제가 전통적, 순수한 이미지의 포제로, 철릭을 제외한 모든 포제가 단순한 이미지로 나타나 조선시대 남자 포제가 공통적으로 가지는 이미지는 단순하고 순수한 이미지를 가지고 있음을 알 수 있다. 3. 남자 포제의 시기별 복식이미지에서는 조선전기(철릭, 답호, 직령)의 포제는 관할성 요인이 높은 의례적인, 관할한, 특이한 이미지로 평가되었고 조선중기(도포, 창의)의 포제는 품위있는, 절제된, 풍성한 이미지로 평가되었으며, 조선후기(주의)의 포제는 활동적인, 단순한, 직선적인 이미지로 나타났다. 따라서 시대별 남자 포제의 이미지는 시대적 여건과 상황에 따라 변화되어 왔으며, 시대에 따라 추구하는 이미지가 달랐다는 것을 알 수 있이러한 논란의 해결방안으로 관세법 고시에 의한 우회적 도입을 결정한 정부의 방침에 대해 제도적 측면에서의 문제점으로 저작권 침해 기준의 결여다.lavonoid 함량의 판단지표로 활용될 수 있을 것으로 사료되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.381-381
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• 2023

농업유역 내 적절한 배수시스템 활용은 농업생산성 향상에 있어 매우 중요한 요소이다. 하지만 농업유역은 상·하류 간 공간적 비대칭이 존재하며, 배수시스템 작동에 있어 물리적 불평등을 초래하게 된다. 그 결과, 배수관로에서 가까운 농민들과 배수관로에서 먼 농민들은 배수시스템의 건설 및 유지관리에 있어 서로 다른 선호 양상을 띠게 된다. 이와 같은 이해 당사자들 간의 입장 차이는 농업배수시스템 유지를 위한 농민들 간의 협력을 방해하게 되며, 이로 인해 유역 내 배수시스템이 적절하게 작동하지 않을 경우 해당 유역 전체의 농업생산성은 감소하게 된다. 본 연구에서는 농민들의 인식 차이에 따른 배수시스템의 기능 정도가 유역의 농업생산성에 영향을 주게 되는 사회수문학적 현상을 반영하여 인간과 농업배수시스템을 결합한 사회수문모형을 개발한다. 나아가, 개발한 모형의 매개변수 변화에 따른 시스템 반응 관찰을 통해 인간과 농업배수시스템의 관계와 상호작용을 탐구한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.160-174
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• 2023

LiDAR plays a key role in autonomous vehicles, and to improve its visibility, it is necessary to improve its performance and the detection objects. Accordingly, this study proposes a shape for traffic safety signs that is advantageous for self-driving vehicles to recognize. Improvement plans are also proposed using a shape-recognition algorithm based on point cloud data collected through LiDAR sensors. For the experiment, a DBSCAN-based road-sign recognition and classification algorithm, which is commonly used in point cloud research, was developed, and a 32ch LiDAR was used in an actual road environment to conduct recognition performance tests for 5 types of road signs. As a result of the study, it was possible to detect a smaller number of point clouds with a regular triangle or rectangular shape that has vertical asymmetry than a square or circle. The results showed a high classification accuracy of 83% or more. In addition, when the size of the square mark was enlarged by 1.5 times, it was possible to classify it as a square despite an increase in the measurement distance. These results are expected to be used to improve dedicated roads and traffic safety facilities for sensors in the future autonomous driving era and to develop new facilities.