• The Bulletin of The Korean Astronomical Society
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• v.46 no.1
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• pp.48.3-48.3
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• 2021

SomangNet is a project that started in 2020 with a network of ten 0.4 to 1.0 m telescopes owned by Korean institutes. By coordinating observations with multiple facilities around the world, we hope to maximize the usefulness of small telescopes which are still competitive for carrying out time-domain astronomy projects. In this talk, we will give an overview of the project, outlining SomangNet facilities, its organization, and current science projects. We hope to open SomangNet for common use in 2021B, and we will present our plan regarding the use of SomangNet.

• IE interfaces
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• v.16 no.3
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• pp.362-374
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• 2003

The major objective of this paper is to empirically examine the effect of process maturity on the performance of industrial R&D projects. Process maturity, a fundamental concept of the Capability Maturity Model developed by Software Engineering Institute, represents the essential of Total Quality Management (TQM). Based on literature, our research model constructs process maturity in terms of structured process, goal setting and controlling, metrics, and process learning; and links it to the R&D performance that consists of technical, commercial and managerial successes. The model also includes firm size as a moderator of different effects that process maturity may have across firms. Measures for process maturity are based on the best practices identified in literature. Data are obtained from 77 successful R&D projects carried out by Korean manufacturing firms. Multiple regression and t-test are used to test proposed hypotheses. Findings are as follows. (1) In the R&D process, process maturity partially contributes to the performance of R&D projects. More specifically, goal setting and controlling-related practices drive both technical and commercial successes, while process learning-related practices drive commercial success. In contrast, traditionally emphasized elements such as structured process or metrics are found not to be significant. (2) The degree of process maturity is significantly higher in large firms. (3) Process maturity impacts on commercial success in the case of large firms, whereas it does on technical success in the case of small firms. The results imply that the TQM principles are partially associated with R&D performance, and the nature of benefit from high maturity could vary according to firm size.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.117-129
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• 2011

Building Information Modeling technology (BIM) is one of the most effective solutions to deal with the trend that buildings are getting more and more complicated, large-scaled, and multiple-purposed. BIM in the construction industry is increasingly adopted since the Korea Public Procurement Service announced that BIM would be obligated in a construction project whose total cost is over 50 billion won from 2012. This fact has boosted BIM related research projects as well. However, the majority of the studies have been focusing on the solutions with technological points of view and there has been lack of research on how much degree project stakeholders are satisfied with the BIM adoption in their projects. Therefore, the objective of this study is to investigate the current status and satisfaction degree of stakeholders in a synthesized point of view in BIM-based projects in order to identify critical factors and weak points in the BIM adoption process. The results of this study would greatly help to improve the strategies and processes in BIM-based projects as well as to increase the satisfaction degree of BIM utilization in a project.

• Korean Journal of Construction Engineering and Management
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• v.8 no.2
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• pp.155-163
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• 2007

Multiple parties-owners, engineering and construction contractors, and suppliers involve the delivery process of capital facility projects in the construction industry, and each party obtains or provides their workforce, material, equipment, or service tied into specific contracts. Considering that construction projects are based on the contracted relationship between the parties and that contract types are one of the significant factors determining project success. it is critical for project stakeholder to select appropriate contract types for successful deliveries of projects. With these considerations, this paper assesses impacts of different contract types on project cost, schedule, safety, change, or rework. Analyzing data from real construction projects, the differences in project performance between two contract types, Cost Reimbursable and Lump Sum are measured and statistically tested to investigate if the differences are significant. For this analysis, performance metrics developed by Benchmarking and Metrics program, the Construction Industry Institute are used.

• Korean Journal of Organic Agriculture
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• v.28 no.4
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• pp.535-553
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• 2020

In this study, the characteristics of the waste sector CDM project were analyzed through cluster analysis of the waste sector CDM project and the analysis of the CDM investment cost in waste sector using CDM project data registered with UNFCCC since 2008 when EU ETS phase 2 began. As of September 2020, 772 cases of CDM projects in waste disposal and disposal are registered. Biogas technology is the largest, followed by livestock manure processing and biomass production technology. The results of the cluster analysis are summarized as follows: First, on average, projects utilizing AWMS technology are small in size and relatively low in investment costs. This is judged to be relatively low investment costs due to previously attracted foreign investment capital. Second, the average investment cost of CDM projects considered along with waste (No.13), the energy industry (No.1) and agriculture (No.15) was higher than those involving only waste. The analysis of the factors determining the investment cost of the waste sector CDM project showed that, as with cluster analysis, the AWMS technology, which is a livestock manure treatment technology, was lower in the investment cost than those that use other technologies. As a result of multiple regression analysis, the investment cost of the CDM project was analyzed lower in the order of biomass, AWMS, LFG and biogas. Also, the higher the investment cost for CDM projects linked to waste, energy and agriculture, and the better the investment environment, the higher the investment cost. Although no statistical feasibility was obtained, the larger the annual emission reduction, the lower the CDM investment cost.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.364-378
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• 2008

Data Envelopment Analysis(DEA) models can be used for performance evaluation on governmental funding projects for IT small and medium-sized enterprises associated with multiple-outputs/multiple-inputs. In order to enhance the accuracy of DEA efficiency scores, DEA models with exogenously fixed variables are required where the corporate competency is taken into account. Additionally, it is necessary to use multiple DEA basic as well as extended models so as to relax the restriction on the performance evaluation to relying on a single DEA model. In this study; 1)a DEA data structure is designed including exogenously fixed variables representing corporate asset, revenue and the number of employees at the point in time that the governmental funding project concerned is initiated; 2)DEA basic as well as extended models are established according to the DEA data structure presented abovementioned; and 3)a case study is illustrated with an empirical testbed dataset. As for the DEA basic models, CCR, BCC, Super-efficiency model are adopted. The DEA extended models are developed based on the models associated with noncontrollable and nondiscretionary variables. In the case study, it is explained a comparison of DEA models and also major numerical outcomes such as efficiency scores, ranks derived from each DEA model are integrated using Analytic Hierarchy Process(AHP) weights. Performance significance with DEA efficiency scores between technical categories are tested based not only on parametric but also nonparametric single-factor analysis of variance method.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.4
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• pp.27-34
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• 2018

Flat or Multiple Dwelling Houses are relatively vulnerable to crime safety. Crime prevention measures are urgently needed because crime is 2.6 times higher than in real apartments. Through the analysis of domestic and foreign crime prevention design standards, field survey, and interviews with experts, 27 items of crime prevention design criteria for flat or multiple dwelling house were derived, and ten design criteria that should be considered first by the expert AHP were derived. As a result of the pilot evaluation of existing flat or multiple dwelling house, the houses completed after 2015 have relatively high level of crime prevention, but the houses constructed before that are very vulnerable. The policy and system improvement plan based on the analysis result is as follows. First, new housing should be promoted to meet minimum criteria by supplying and educating public officials, architects, and building owners in the short term to provide criteria for flat or multiple dwelling house crime prevention plans. Second, existing housing should be supported with basic crime prevention support projects such as security windows for flat or multiple dwelling house where security of residential environment such as urban renewal policy is poor. Third, the Enforcement Decree of the Building Act shall be revised to make the crime prevention environment design of flat or multiple dwelling house obligatory, and the criteria of flat or multiple dwelling house crime prevention plan should be reflected in the notice of crime prevention building standard.

• Journal of Korea Technology Innovation Society
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• v.5 no.2
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• pp.141-151
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• 2002

Many technology investment projects can be considered as set of sequential options. A compound real option can be used for evaluating sequential technology investment decisions under significant uncertainty and measuring its value. In this paper, the formula developed by Geske and Johnson(1984) and Buraschi and Dumas(2001) was applied to evaluate the technology investment with related double real option. Also double real option was com-pared with net present value method and multiple linear regression model was used to assess the partial effects of risk free rate and log-term volatility on its value.

• Korean Journal of Construction Engineering and Management
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• v.15 no.2
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• pp.44-52
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• 2014

On March, 2013, the Government announced the Multiple Prime Contract method will be expanded in public building construction projects. The applying multiple prime contract method has been immersing issue among all stakeholders of construction project. The owner conducts the role of a general contactor as well as owner's original responsibility while construction works being executed by specialty contractors. If the owner has not experience of project management, it should be bring about increasing management cost due to the interface problems among prime contractors. With this reason, it is difficult to administrate the multiple prime contract. So far there has been no methodology of predicting management cost in the multiple prime contract. Therefore, this study aims to enable the operation of efficient multiple prime contracts by developing a model to predict their management costs.

• Journal of Environmental Impact Assessment
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• v.9 no.4
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• pp.363-372
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• 2000

For any particular development project or environmental regulations, decision-making criteria is required and conflicts among criteria should be resolved. It is necessary to investigate criteria that government agencies employ in making decisions that influence the environment. The evaluation of alternative development proposals and regulatory measures involves much more than environmental issues. Economic, technical, and social factors should be considered along with environmental impacts when making evaluations. Evaluation should be based on values of all individuals who may be affected by public or private decisions. There are many evaluation methods for determining how individuals and groups value alternative public actions. Numerous weighting-scaling methodologies can be used in such evaluations. These methodologies represent adaptations of multiple-criteria or multiple-attribute decision-making techniques. Environmental risk assessment which accounts for uncertainties in choosing among alternative policies and projects is increasingly used.