• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.59-66
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• 2007

The digital working environment and its related technology have been rapidly expanding. In the surveying field, we have changed from using optical film cameras and plotters to digital cameras, multi sensors like GPS/INS etc,. The old analog work flow is replaced by a new digital work flow. Accurate data of the land is used in various fields, efficient utilization and management of land, urban planning, disaster and environment management. It is important because it is an essential infrastructure. For this study, LiDAR surveying was used to get points clouds in the study area. It has a high vegetation penetrating advantage and we used a digital process from planning to the final products. Contour lines were made from LiDAR data and compared with national digital base maps (scale 1/1,000 and 1/5,000). As a result, the accuracy and the economical efficiency were evaluated. The accuracy of LiDAR contour data was average $0.089m{\pm}0.062\;m$ and showed high ground detail in complex areas. Compared with 1/1,000 scale contour line production when surveying an area over $100\;km^2$, approximately 48% of the cost was reduced. Therefore we prepose LiDAR surveying as an alternative to modify and update national base maps.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.113-122
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• 2015

VE workshop is performed based on VE expert' experiences without retrieving VE data of similar previous projects. Moreover, it usually omitted or applied for the sake of formality due to insufficiently understanding VE function, limited time, space and budget. Even though many studies have established VE databases for retrieving and reusing VE data, VE workshop is still inefficient and ineffective to improve projects' values. With this regard, this study proposes a preliminary prototype for improving VE workshop, which utilizes the state-of-the-art information communication technologies(ICTs) including Building Information Modeling(BIM), Mobile Computing(MC), Network Service System(NSS), and Database Management System(DBMS) for better managing, storing and reusing VE data. The prototype was developed to evaluate advantages and limitations. The results show that the proposed prototype can support visual VE data retrieval from similar previous projects, enhance communication among VE team and save much time and cost comparing to traditional VE. Through this, the productivity of VE workshop can improve efficiently and effectively.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.194-203
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• 2008

Construction Research and Development (R & D) projects have been begun with the investment of 1.2 billions in 1994 and have been reached to 30 billions in 2004. During this ten-year period, a total of investment for construction R&D amounts to 125.7 billions (Total 418 construction R&D projects). However, the results of each R&D project could not apply to real construction site because each project has been performed by a small size (0.5 billions). In addition to those, the social interest on the construction R&D projects has not been received and those importance has not been recognized. Especially, there aren't still standardized methodologies or weighted measurement data for evaluating research performance of the construction R&D projects up to now. The construction R&D projects has been Invested on the basis of an annual technology demand survey rather than the research performance outcome. Therefore, it is important to establish a qualitative performance measurement model for evaluating construction R&D projects. This paper proposes a new research methodology for analyzing the performance measurement of the construction R&D projects. First of all, the Balanced Score Card (BSC) is used to evaluate the construction STAR technologies selected in this research. The performance items of BSC has been modified as four criteria such as "productivity, "knowledge accumulation," "training of students," and "welfare." The new research methodology developed in this paper is expected to use in establishing resonable construction R&D budget in the future.

• Journal of the Korean Society of Safety
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• v.22 no.6
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• pp.91-97
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• 2007

A survey of risk perception in Korea was conducted in 2001 with a special emphasis on industrial and technological risks. This article summarizes the characteristics of risk perception in consideration of socio-demographic background of respondents. The survey with sample size of 1,870 evaluates the perceived level of 25 risk items in the areas of transportation, chemicals, environment, industry, and nuclear power generation. Risks are categorized by using factor analysis to clarify attitudinal or behavioral properties of risk perception. Research findings show that the level of perceived risk does not correspond to the statistical level. Socio-demographic variables are significant predictors in explaining risk perception, or the discrepancies between "subjective" and "objective" risks. Effective risk communication can reduce the perceptional discrepancies, improve the awareness of technological risks, and ultimately facilitate the process of making and implementing policies for risk management and safety regulation. This article tries to provides policy guidelines for "Who is the target for risk communication" and "Which risk has the policy priority for safety improvement." Married females at the age of 30s and 40s with lower education and lower income in small cities are more vulnerable to risk misperception than other groups. More information and knowledge regarding unfamiliar, intangible, new technological risks should be delivered to the vulnerable groups for reducing perceptional bias. Society-wide safety can be improved by integrating policy, human, and social factors as well as techno-engineering advances.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.781-792
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• 2018

In modern society, as technology develops and industry diversifies, students can choose from a variety of career paths. Since science, technology, engineering, and mathematics require a longer education and experience than other fields, it is important to design science education policies based on the competencies required for science, technology, engineering, and mathematics (STEM) occupations. This study explores the definition of science and technology manpower and STEM occupations and identifies core competencies of STEM occupations using standard job information operated and maintained by the US Department of Labor ($O^*NET$). We specially analyzed ratings of the importance of skills (35 ratings), knowledge (33 ratings), and work activities (41 ratings) conducting descriptive analysis and principal component analysis (PCA). As a result, core competencies of STEM occupations consist of STEM problem-solving competency, Management competency, Technical competency, Social service competency, Teaching competency, Design competency, Bio-chemistry competency, and Public service competency, which accounts for 70% of the total variance. This study can be a reference for setting the curriculum and educational goals in secondary and college education by showing the diversity of science and technology occupations and the competencies required for STEM occupations.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.181-189
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• 2019

The purpose of this study is to derive obstacle factors to 'high value vocational training' and to suggest development strategies. The training aims to solve the quantitative and qualitative problems of female employment by providing professional training in high value areas such as ICT, SW and knowledge service. To verify the training to meet these objectives, 48 processes operated in 2018 were analyzed and field monitoring was conducted. As a result of the analysis, problems were identified and improvements were derived in terms of learners management, training course design, field practice operation, and performance evaluation. Based on these results, researchers suggested four ways to develop high value vocational training. First, select learners based on combined talent and second, strengthen the project of linking enterprises and structured field practices. Third, establish a performance evaluation system of its own and manage performance and fourth, expand support for excellent training courses and provide consulting for course development. The results of this study are expected to be used as a reference for establishing policies for high value occupational training. In the future, quantitative research should be conducted to clarify the performance and problems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.163-182
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• 2009

The BSC(Balanced Scorecard), a strategic performance evaluation system, has drawn attention as an innovative tool for improving an organization's performance. Recently, the Korean government has recognized the advantages of the BSC and encouraged public enterprises to implement the BSC. However, it has been pointed out that many public enterprises have faced difficulties in constructing and operating the BSC due to lack of clear understanding, a complex environment of performance evaluation, and inherent features of organizational culture. Therefore, this study analyzed a project case of a public enterprise, Korea Southern Power (KSP), which has ever been assessed as an excellent organization in implementing BSC and managing performance. This paper provides procedures, activities, resources (manpower and time), and decision-making issues and criteria required for implementing BSC, along with real project outcomes of the company. Such project details are expected to be used as helpful guidelines for public or non-profit organizations's BSC implementation. Furthermore, the KSP's efforts to cope with its problems and implications derived from the efforts are also expected to help other organizations construct and operate the BSC effectively.

• Industry Promotion Research
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• v.8 no.2
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• pp.157-164
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• 2023

Since there are no related laws and regulations in the Korean private investigation industry, anyone can freely operate it if they report the business to the tax office. The reality is that companies hire PI to investigate rival companies and employees for specific reasons, as they generally rely on individual requests. The Korean PI industry is divided into two parts. The first are retired police officers and investigators who have experience in criminal investigation. The second are private citizen who can conduct investigation service activities runs a PI agency after everyone has registered with the tax office. It is no exaggeration to say that the current legal conflicts and legal problems that arise in the PI service cannot be ruled out because civilians are relatively less knowledgeable than PIs and legal experts. Therefore, in order for PI industry to operate stably in Korea, we will first study the concept and type of PI industry, comparative analysis of past PI laws, current status and reality of PI industry, and study the current status and references.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.141-155
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• 2014

This study examines the effect of previous work experience on the long-lived venture firm called 'Good Quality startup'. The research explores entrepreneurs of 16 mobile application startups that were invested by the venture capital, 'K-ventures', through the resource-based view. The results show that all of entrepreneurs had previous experiences of their business domain. They accumulated human resources such as technology capabilities, knowledge of domain, know-how, networking through learning-by-doing. Entrepreneur's human resources are the key factors for opportunity recognition and realisation process; and it is also on the ground that venture capital determines investment. Venture capital provides financial resources, management support and strong network for venture firm. Technology resources, financial resources, know-how and networking are the core managerial resources to be a long-lived venture firm called 'Good Quality Startup'. This research is an exploratory case study based on previous experience and 'good quality entrepreneurship'. The empirical study hereafter is needed.