Journal of The Korean Society of Agricultural Engineers
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v.62
no.2
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pp.97-109
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2020
Drought is one of the most influential disasters in sustainable agriculture and food security of nations. In order to preemptively respond to agricultural droughts, vulnerability assessments were conducted to predict the possibility of drought in the region, the degree of direct or indirect damage, and the ability to cope with the damage. Information on agricultural drought vulnerability status of different regions is extremely useful for implementation of long term drought management measures. The purpose of this study is to develop and implement a quantitative approach for measuring agricultural drought vulnerability at sub-district level based on agricultural water and reservoirs. To assess the vulnerability in a quantitative manner and also to deal with different physical and socioeconomic data on the occurrence of agricultural drought, we selected the appropriate factors for the assessment of agricultural drought vulnerability through preceding studies, and analyzed the meteorological and agricultural reservoir data from 2015 to 2018. Each item was weighted using AHP (Analytic Hierarchy Process) analysis and evaluated through the agricultural drought vulnerability estimation. The entire national vulnerability assessments showed that Ganghwa, Naju, and Damyang were the most vulnerable to agricultural droughts. As a result of analyzing spatial expression, Gyeongsang-do is relatively more vulnerable to drought than Gangwon-do and Gyeonggi-do. The results revealed that the methodology and evaluation items achieved good performance in drought response. In addition, vulnerability assessments based on agricultural reservoir are expected to contribute supporting effective drought decisions in the field of agricultural water management.
Journal of the Korean Regional Science Association
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v.34
no.3
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pp.3-11
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2018
Urban regeneration is a worldwide challenging project, showing a great interest in the sector. In order for Korea's urban regeneration to be settled successfully in the early stage, it is necessary to analyze and review the opinions and business performance of the urban regeneration areas. The purpose of this study is to evaluate the urban regeneration planning factors affecting urban regeneration on the satisfaction of citizens, public administration and region. This study surveyed the residents and experts of the Yeongju city, Gyeongsangbuk-do, where urban regeneration is actively doing with active participation of residents and local government. Based on the data of the survey, this paper performed frequency analysis, correlation analysis and multiple regression analysis as a analytic methods. The results revealed that 'community factor' was the most important factor to the satisfaction of residents in the urban regeneration project in progress. In the final stage(at present), both 'community factor' (0.387) and 'physical factor'(0.454) were found to have a significant effect on satisfaction. While the satisfaction from 'the economic factor'(0.111) has slowed but it has increased with 'the physical factors' in the process of regeneration project, 'the social factors'(-0.007) shows a downward trend. If the role of social factors and community factors are supported at the beginning step of the urban regeneration project, the physical factors and economic factors are continued to lead a sustainable urban regeneration in the long term.
This paper is to review assessment indicator on priorities for budget allocation of the national R&D program. In priority setting of programs for the budget allocation process of the national R&D program using the Analytical Hierarchy Process (AHP), the survey result on the major influencing factors is as follows: the significance of components of evaluation for the priority of the national R&D programs in budget allocation was as following order: "accomplishment and ripple effect of the project," "basis and driving force for the promotion of project," "feasibility of project goals," and the "possibility of overlapping and linkage among projects". The importance of the final evaluation indicator was as following order: "clarity and possibility for accomplishment of business objectives," "ripple effects in terms of science and technology", "ripple effects in terms of the economy and overall society" and "appropriate correspondence with mid- to long-term plans" (the importance for these four indicators was over 10%) while the importance of "overlapping" and "appropriateness of budget size" indicators which fell below 5% were considered to be relatively less important. there is a need for a clear criteria and conceptions of evaluation indicators for budget allocation of national R&D programs.
Textile fashion industry is a core foundation industry, having the majority of companies with 10 or more workers, in Northern Gyeonggi Province. however the industry is mostly comprised of small unit-stream enterprises, orders are greatly reduced due to lately accelerated overseas expansion of medium/large-sized vendors and the growth-inhibiting vicious circle has being set in, as this situation causes the reduction of investment. For resolving the problems, this study proposes required political factors and concrete policy proposals by designing AHP research model(4 layers and 36 elements), based on grasp of the transitional aspect of industrial scale and business environment through analysis of various industrial statistics, preceding research such as related literature search and (industrial/academic/R&D/government) specialist opinion investigation, and then calculating relative importance and priority of each factor(element) within each layer. And for raising usefulness and availability of the research result by concretely suggesting the vision, strategies, core tasks and detailed projects in which the research model and deduced result are reflected.
The Journal of Sustainable Design and Educational Environment Research
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v.15
no.2
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pp.13-22
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2016
The purpose of this study is to provide a basis for determining when a school established long term school plans accepted by analyzing the trend of increase or decrease elementary school students 30 years to target of Daejeon Metropolitan City. Most were analyzed for land development area of Yuseong-Gu, and most of the old downtown area of Dong-Gu for this purpose. Results of this study are as follows: First, the results of this research to analyze the number of students increase or decrease trend forecasting model specific case in residential development projects in the district are Model8 4 schools (11.8%) in Yuseong-Gu were compared higher than one schools (4.3%) in the Dong-Gu. This suggests the need for a cautious approach in the planning of schools accommodated in a large housing development district. Second, large-scale land development trend analysis results Students sensitized Yuseong-Gu business district is followed by a new school in 11 schools (29.7%), Old town in Dong-Gu, which is contrary 13 schools (56.5%) were in a downturn.
This study analyzed the globalization policy of ICT SMEs and ventures using cognitive map analysis and derived the priority to importance about action plans using AHP model, while the globalization paradigm has been rapidly changing in the ICT industry. Empirical results showed that policy tool variables should be needed to develop because policy goal variables are generally presented more than policy tool variables. In addition, this cognitive map could be characterized by a scarcity of feedback loops which means policy landscape for ICT SMEs and ventures' globalization is unilateral rather than cyclical to reach policy goal from policy tools. Another finding is that creative economy policy variable was not observed as policy tool variable but as policy goal variable. This means creative economy can be implemented through support for ICT SMEs and ventures' globalization. Finally, for detailed policy measures, installation of global start-up center, recruiting and utilization of global specialists, revitalization of ICT R&D international collaboration study, enlargement of global investment network, accompanied overseas advance of large enterprises and SMEs are presented in order in terms of the importance of policy priority.
The vehicle lubricant occupies upto 35% in a total lubricant market and engine oil occupies upto 77% in the vehicle lubricant market in Korea. A suitable quality management of the circulating engine oil is necessary for driver and engine protection. But, KS and synthetic engine oil products (involved over 30% synthetic oil) are exempt to any quality management under Petroleum and Alternative Fuel Business Act. It is also known that synthetic oils such as PAO (poly alpha olefin) have excellent properties and performance like anti-wear, varnish control and oxidation stability than those of mineral oils. For this reason, PAO has been used for an engine oil, rotary screw and reciprocating compressor in addition to heavy duty and other extreme service applications. In this study, our research group analyzed the chromatogram pattern for the mineral oil, PAO and mineral oil involved a typical ratio of PAO using SIMDIST (simulated distillation). In the SIMDIST chromatogram, the mineral oil showed a broad peak, while PAO showed a sharp typical peak. Also the oil with a large viscosity grade exhibited a long retention time due to the heavy molecular weight and high boiling point. In particular, the blended mineral oil with 20% PAO sample showed a distinctly different pattern compared to that of using the conventional mineral oil. For monitoring PAO contents in distributing engine oils, we analyzed the SIMDIST for 27 kinds of engine oils which were popularly sold in Korea. The analytic results indicate that all kinds of engine oils showed that PAO contents were below 20% in engine oil products. Moreover, the PAO titled product was found to have a small amount of PAO. Thus, we conclude that the related laws for the proper quality management of synthetic oils are needed to be established.
Companies are required to invest in numerous intial marketing costs for establishing brand power, thus, many companies in the foodservice industry are increasing their budgets on communication to strengthen their own brand equity components such as brand recognition, brand royalty, perceived quality and associated image using mass media that has not been used before. For this study, 617 samples were analyzed by such analytic methods as a frequency analysis, cross-tabulation, a factor analysis and a reliability analysis for validity, and a confirmatory factory analysis, a model adequacy evaluation, and a path analysis using AMOS 17.0. The hypothesis verification by the AMOS analysis has revealed that all hypotheses positively influenced contract foodservice brands, and the brand recognition of a university contract foodservice company has an impact on sincerity and refinement. Therefore, positive brand image formation encourages strong brand establishment between a university contract foodservice business and customers, and this study strongly suggests continuous further studies about constructing a positive brand image.
Journal of Korean Society of Industrial and Systems Engineering
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v.41
no.3
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pp.72-82
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2018
In this paper, we identify risk factors that are likely to occur during the lifecycle of a new product development (NPD) project from the literatures, and identify the three objectives or three constraints that will ultimately be achieved for project success in the ICT industry : performance (scope/quality), schedule (time), and cost. Firstly, we interviewed the project experts to classify the risk factors according that the final project objectives are changeable based on scope/quality, time and cost budget constraints. Secondly, the survey for pairwise comparisons between the risk factors was asked to the project managers and members who had ever actually participated in the NPD projects of ICT industry to determine the priority ranks on relative importance using AHP (Analytic Hierarchy Process). The risk factors negatively affecting the goals of projects were analyzed by using the AHP respectively in four project stages during the life cycle of the project. The comparison of risk factors within each stage is a different approach unlike the literatures which have covered project's overall risk assessment. There is an advantage that risk management can be effectively performed with priorities according to each stage from the start to the end of the project. In other words, it is necessary to identify what risk factors will occur in each stage, and to have ideas at each stage with the priorities so that they can be mitigated and eliminated before actual occurrence. As a result, risks on scope & quality changes were found to be the most important considerations for initiative stage of NPD projects in the ICT industry, whereas in the final stage, risks on schedule (time) changes were the most important priorities. Among the ICT industry product categories, 'communication and broadcasting devices' and 'IT and communication based devices' generally have a high priority in terms of risks on scope & quality changes when initiating the project. At the closing stage of the project, however, considering that schedule (time) changeable risk is getting higher, these products tend to target at B2B market rather than B2C because the new products must be delivered and launched in time as customer firm required.
A large suite of official statistical data sets has been compiled for geographical units under the national directives, and it is the quantitative regional analysis procedures that could add values to them. This paper reports our attempts at prototyping a statistical GIS which is capable of serving over the Web a variety of regional analysis routines as well as value-added statistics and maps. A pilot database of some major statistical data was ingested for the city of Seoul. The baseline subset of regional analysis methods of practical usage was selected and accommodated into the business logic of the target system, which ranges from descriptive statistics, regional structure/inequality measures, spatial ANOVA, spatial (auto) correlation to regression and residual analysis. The leading-edge information technologies including the application server were adopted in the system design and implementation so that the database, analysis modules and analytic mapping components may cooperate seamlessly behind the Web front-end. The prototyped system supports tables, maps, and files of downloadable format for input and output of the analyses. One of the most salient features of out proposed system is that both the database and analysis modules are extensible via the bi-directional interface for end users; The system provides users with operators and parsers for algebraic formulae such that the stored statistical variables may be transformed and combined into the newly-derived set of variables. This functionality eventually leads to on-the-fly fabrication of user-defined regional analysis algorithms. The stored dataset may also be temporarily augmented by user-uploaded dataset; The extension of this form, in essence, results in a virtual database which awaits for users commands as usual. An initial evaluation of the proposed system confirms that the issues involving the usage and dissemination of information can be addressed with success.
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