• 한국환경생태학회지
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• 제29권2호
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• pp.236-249
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• 2015

The master plan of forest land management proposes forest watershed management that considers regional characteristics in order to overcome the problem of uniform forest land management. In order to manage the forest watersheds in Gyeonggi-do, this study classified 1,823 forest watersheds in Gyeonggi-do and attempted to understand their characteristics. It conducted a factor analysis and cluster analysis from the perspective of conservation value and development pressure using forest land indicators. In terms of conservation value, three factors were drawn: the topography factor, vegetation factor and public service factor, while in terms of development pressure, three factors were drawn: the easiness of development factor, economic benefits factor and development activity factor. Using these factors, forest watersheds were divided into three clusters in terms of conservation value while they were divided into three clusters in terms of development pressure. Using the results of the cluster analysis from a conservation-development perspective, the forest watersheds were classified into nine different types, and the characteristics were identified by each type. It is judged that the factors and clusters drawn as a result of the research accurately reflect the present conditions of Gyeonggi-do, and the nine types of forest watersheds have clear characteristics according to each type, which are judged to be utilized in forest management in the future.

• Asia pacific journal of information systems
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• 제10권4호
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• pp.57-75
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• 2000

Most current literature on knowledge and technology transfer(Appropriability Model, Dissemination Model, and Knowledge Utilization Model), describe the process of transfer in details, but has limitation in terms of their application in contemporary high-tech industries since most studies have not provided plausible explanation on levels and factors affecting transfer of knowledge and/or technology. To overcome these limitations, the four levels of knowledge and technology transfer are suggested: Knowledge and Technology Creation(Level I), Sharing(Level II), Implementation(Level III), and Commercialization(Level IV). Comprehensive literature identifies sixteen variables affecting the process and results of knowledge and technology transfer. The survey results show four key factors in knowledge and technology transfer: Communication, Distance, Equivocality, and Motivation, Communication refers to the degree to which a medium is able to efficiently and accurately conveys task-relevant information and media while distance involves both physical and cultural proximity. Equivocality refers to the degree of concreteness of knowledge and technology to be transferred while motivation involves incentives for and the recognition of the importance of knowledge and technology transfer activities. Further analysis shows that there are four distinctive clusters and they show very contrasting characteristics in terms of four key factors. The careful mapping of the four clusters on the four key factors show very informative knowledge and technology transfer patterns, the Knowledge and Technology Transfer Grid. Finally, actions to increase communication interactivity and motivation, and to reduce cultural distance and equivocality are suggested.

• 대한토목학회논문집
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• 제39권1호
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• pp.13-24
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• 2019

이 연구에서는 국내 도로교 한계상태설계법에서 콘크리트부재의 설계를 위하여 적용하고 있는 재료계수의 문제점을 제기하고, 잘 정립된 최적화 과정에 의한 재료계수를 제안하였다. 신뢰도분석을 통하여 현 설계기준의 하중계수와 제안 재료계수가 목표신뢰도지수 보다 높은 신뢰도수준을 확보하고 있음을 보이고, 역신뢰도해석을 통하여 목표신뢰도지수를 잘 근사할 수 있는 하중계수를 제시하였다. 유로코드에서 제시하고 있는 기본 개념에 근거하여 신뢰도기반 하중-재료계수 결정법을 정식화하였다. 제안된 접근법이 신뢰도개념에 의하여 유도되었지만, 이 접근법에 의하여 계산된 하중-재료 계수가 목표신뢰도지수를 정확히 만족시키지 못하는 요인으로서 재료와 부재간에 존재하는 불확실성의 차이를 지적하고, 이러한 차이를 고려하지 않는 유로코드의 개념적 문제점을 제기하였다.

• 산업경영시스템학회지
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• 제46권3호
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• 한국인공지능학회지
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• 제7권1호
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• pp.1-4
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• 2019

This study to investigate Mobile service quality factors influencing on customer satisfaction and repurchase intention for the research purpose. This study collected data by a survey method for an empirical. A total of 340 replies were used for data analysis. While 340 replies were collected from Chinese users of Mobile e-commerce. Our results support previous researches to results of SPSS analysis all of the 7 hypotheses, 4 hypotheses are adopted and 3 are deleted. After an empirical analysis of this study, the academic implications are as follows. As there have not been many academic studies related to mobile commerce quality, this study can be a meaningful framework when quality factors associated with mobile commerce are being analyzed. This paper as the mobile commerce industry is very sensitive to environmental changes, academic research that can be used to cope with these changes is continuously required. Further studies should be carried out to overcome limitations that have not been analyzed by this study.

• The Korean Journal of Ecology
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• 제15권2호
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• pp.127-135
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• 1992

The effects of nacl concentration, temperatura, light and growth regulator(GA3, kinetin) on the tuber germination of s. maritimus were investigated. The germination percentage increased with decreasing nacl, showing salt tolerance through time, and with increasing temperature untile 20~30oC light / dark (12/12 hr) of optimal temperature. The multiplication of nacl and temperature on germination percentage and velocity, increased significantly in higher temperature than lower temperature in saline. The germination percentage showed high value in dark condition than in light condition which is the charracteristics of underground organ. and ga3 act as germination stimulator to overcome the inhibitory effect of nacl. The effect of ga3 showed significant differances on tubers of s. maritimus of germination but that of kinetin had a litter sffects on germination. Factors of nacl and temperature interacted significantly and the effects of nacl on germination percentage and velocity depended on temperature condition.

• 경영과학
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• 제28권1호
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• pp.53-60
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• 2011

Time series analysis methods have been traditionally used in stock price prediction. However, most of the existing methods represent some methodological limitations in reflecting influence from external factors that affect the fluctuation of stock prices, such as oil prices, exchange rates, money interest rates, and the stock price indexes of other countries. To overcome the limitations, we propose a network based method incorporating the relations between the individual company stock prices and the external factors by using a graph-based semi-supervised learning algorithm. For verifying the significance of the proposed method, it was applied to the prediction problems of company stock prices listed in the KOSPI from January 2007 to August 2008.

• 대한기계학회논문집
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• 제17권12호
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• pp.3105-3114
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• 1993

previously, several basic studies in the experimental analysis of stress intensity factors of cracks by slab analogy have been presented by authors. But, for the application of above mentioned method to the analysis of the arbitrarily distributed cracks, there still is several bottlenecks to be overcome in terms of its experimental process and data treatment. Moreover, authors recently proposed an improved experimental method to use the fixed slab analogy device which has promised more accurate measurement of S.I.F. of small cracks. In this paper, for the completion of slab analogy analysis of distributed cracks, a grating imaginary rotation method is introduced. And, to prove its validity, this combined method is applied to the determination of stress intensity factors of theoretically known distributed cracks. The results show good agreement with the existing theoretical solutions and physical crack propagation tendencies.

• 기술혁신연구
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• 제15권1호
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• pp.65-86
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• 2007

The purpose of the current study is to suggest a reliable starting point for roadmapping to overcome two common shortcomings of previous literatures that they do not demonstrate a robust methodology for roadmap and they describe the roadmapping process in the abstract. The proposed methodology for roadmapping considers four important business- and market-related factors: consumer requirements, engineering characteristics, the gap between the roadmapped technology and competing technologies, and future changes in consumer preferences. We capture consumer preferences using conjoint analysis and interconnect the above four factors using QFD (Quality Function Deployment). The model is applied to power line communications (PLC). The results show that there is a significant difference between priorities assigned to the engineering characteristics by expert alone and priorities determined by the roadmapping model.

• 한국시스템다이내믹스연구
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• 제16권1호
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• pp.75-91
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• 2015

The price-volume in land by land categories is evaluated with dynamic approaches in the era of aging society This research tries to investigate in the respect of major factors such as real estate, macro-economics, and population that is simulated by land categories. The system dynamics approaches on price-volume in land are forecasted until 2020 using the data in the period of 2000-2014. In regard to methodologies, this research adopted system dynamics to evaluate the relationships between price-volume in land and aging society. The meaningful results have been found during the last over 10 year's analysis as the dynamic relations with major factors. Regarding land categories, this research tries to overcome former research limitations. As an implication from the price-volume in land, it confirmed that the multifaceted aspects show that system dynamics approach effectively simulated them by price-volume in land with the population of aging society.