• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.515-518
• /
• 2002

KM(Knowledge Management) is factor more paradigm of period than survival factor. Stewart, Sveiby etc., a scholar was Present to definition, knowledge classification and measurement method. KMS(Knowledge Management System) was made by scholar theory. But, it is hardly adapt to construction industry. Because it is have property that construction industry have one product, recieve-industry etc. Therefore, we must knowledge classification and measurement method that property of construction industry. So, we can effectively manage to knowledge of construction industry. And, knowledge of construction industry will evaluate according to property. Measure method of construction company will find through benchmarking that measure method of construction company is analyze to case.

• The Journal of Information Technology
• /
• v.7 no.4
• /
• pp.47-60
• /
• 2004

The main purpose of the present study are as follows: First, through the extensive literature review, we tried to find out environmental changes in the management thoughts. Second, as we found a new paradigm on valuation-oriented management thoughts, we argued that cost/management accounting information should play key roles in creating values. Third, we pointed out that when firms used only financial performance measurements, problems could take places. Finally, especially to promote the organizational effectiveness and efficiency, we stressed that firms should use the balanced scorecard approach in performance measurements of its own organizations and personnels.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.42 no.2
• /
• pp.35-48
• /
• 2017

As the technology convergence paradigm emerges, the need for "CIA techniques" to analyze the mutual effects of technology is increasing. However, since the CIA input parameter estimation is difficult, the present study suggests a "CIA input parameter setting model" to alleviate the difficulty of CIA input parameter estimation. This paper is focused on the difference of measurement difficulty by each scale which expert's estimation behavior was defined as measurement activity quantifying the judgment of future technology. Therefore, this model is designed to estimate the input variable as a sequence or isometric scale that is relatively easy to measure, and then converts it into a probability value. The input parameter setting model of the CIA technique consists of three sub-models : 'probability value derivation model', 'influence estimation model', and 'impact value calculation model', in order to develop a series of models the Thurstone V model, Regression Analysis, etc has been used.

• Journal of Advanced Navigation Technology
• /
• v.2 no.1
• /
• pp.43-52
• /
• 1998

In this paper, we have investigated the effects of geographic information on the performance of multiple ground target tracking system using multiple sensors. Geographic information is utilized in two cases: association and masking target measurement. Virtually no improvement is observed to the overall performance of tracking system when we applied mobility to the association procedure. Masking target measurement based on mobility produces desirable result that the number of false tracks is reduced. Since geographic information can be regarded as an additional sensor in sensor fusion paradigm, careful usage is required.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.39 no.2
• /
• pp.111-130
• /
• 2014

For the key factors determining victory of combat, many works have been focusing on qualitative analyses in the past. As military training paradigm changes along with technology developments, demands for scientific analysis to prepare future military strength increase regarding military training results, and big data analysis has opened such possibility. We analyze the data from KCTC (Korea Combat Training Center) training to investigate the factors affected victory in offensive operations. In this context, we develop a way to measure the victory and the factors related to it from existing studies and military doctrines. We first identify Independent variables that affect offensive operations through variable selection and propose a mathematical model to explain combat victory by performing multiple regression analysis. We also verify our results with battalion-level live training data as well as previous studies on victory factors in the military doctrines.

• Journal of the Korean Society of Costume
• /
• v.58 no.9
• /
• pp.99-113
• /
• 2008

This paper provides the foundation to settle the new paradigm in the beauty industry service quality by confirming the beauty industry service quality influence on customer satisfaction and loyalty through the actual verification. The scale of this study for measurement of beauty industry service quality is confirmed through the certification of reliability and feasibility with questionnaire investigation after confirmation of contents and preliminary feasibility. The dimensions and items for measurement of beauty industry service quality are selected with service ability(6), tangible(4), responsiveness(3), reliability(2), conveniency(2). And it is confirmed that the level of service quality is changing unlike a beauty-shop facility or cost recognized traditionally as a key factor to occupy the higher position in competition of beauty-shops. This thesis presents the important point of current issue about kinds of strategy which beauty industry should establish in providing the beauty industry service for occupying higher position in keen competition.

• International journal of advanced smart convergence
• /
• v.12 no.2
• /
• pp.47-55
• /
• 2023

The automotive industry is undergoing a paradigm shift due to the convergence of IT and rapid digital transformation. Various components, including embedded structures and systems with complex architectures that incorporate IC semiconductors, are being integrated and modularized. As a result, there has been a significant increase in vehicle defects, raising expectations for the quality of automotive parts. As more and more data is being accumulated, there is an active effort to go beyond traditional reliability analysis methods and apply machine learning models based on the accumulated big data. However, there are still not many cases where machine learning is used in product development to identify factors of defects in performance and durability of products and incorporate feedback into the design to improve product quality. In this paper, we applied a prediction algorithm to the defects of automotive door devices equipped with automatic responsive sensors, which are commonly installed in recent electric and hydrogen vehicles. To do so, we selected test items, built a measurement emulation system for data acquisition, and conducted comparative evaluations by applying different machine learning algorithms to the measured data. The results in terms of R² score were as follows: Ordinary multiple regression 0.96, Ridge regression 0.95, Lasso regression 0.89, Elastic regression 0.91.

• The KIPS Transactions:PartD
• /
• v.15D no.3
• /
• pp.375-386
• /
• 2008

Recently, development paradigm of information system is turning into object oriented and component based, and this methodology is leading the software industry. To acclimatize aptly to this trend, users demand the assessment of software expenses to change with the appropriate model of computing costs of the environment, and some people are actually studying the concept of Object Oriented Function Point and UCP method. Especially, Object Oriented Function Point Measurement Process has good points in overcoming the bound of LOC and the existing the Function Point Measurement Process because Object Oriented Function Point Measurement Process is applicable to the early stage of development project mainly with the used cases, and valid to the life long period as the each stage of software products develops, and always understandable to communicate with users by the UML mark rules. Accordingly, this research is to measure Functional Point at ROFP and AOFP in accordance with the development project of information system by the national defense CBD methodology procedures and UML Interrelation Analysis that are recently and widely used in the developmental environment of object oriented information system. Furthermore, this study suggests the measurement method to obtain Functional Point, and identifies service function and object/class function in the correlation analysis of use case and class based on the products and UML modeling via traditional FPA model and object oriented FPA model. Above all, this study is to demonstrate the improvement of traditional Function Point Measurement Process, IFPUG-CPM and software cost basis, and reveal Function Point Measurement Process, which is appropriate to the development of object oriented information system, and suggest the evaluation results of the compatibility through case studies.

• Journal of information and communication convergence engineering
• /
• v.8 no.3
• /
• pp.343-347
• /
• 2010

Cyber education has been predicted that it would become the primary education system of 21st century as a way of education focusing on consumers, with the aspect that it seems to be able to satisfy the demand about re-education and lifelong education as the acceleration of fast knowledge accumulation throughout every field of society in the digital era. However, cyber education system has a lot of problems which are for that it lacks of human resources for effective interaction, and it can be disadvantageous to certain type of students with a class environment concentrated on reading and writing and with foundation on computer technology. Therefore, in this thesis, We intended to analyze factors influencing satisfaction of people studying in a situation that cyber education has been required to be a mainstream system of education in the midst of trend of changing paradigm of college education recently, and to suggest some possible solutions for cyber education at university.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1997.10a
• /
• pp.257-260
• /
• 1997

Bluetooth is the most promising network paradigm which ca open the new area in the information technology. Especially, bluetooth can link all the electrical products and PCs(Personal Computer) to cellular phone or PDA. In this paper, the data from ECU which are gathered by scanner are communicated between tow PCs using the bluethooth modules. The acquired data are ECU's self diagnosis signal and sensor output signal. Self diagnosis signals are very important to check the ECU's state and sensor output signals. Using these data, the possibility of wireless communication with ECU is developed and verified. Protocol stack of bluetooth is L2CAP through HCI and wireless communication software of ECU's signal is developed using VC++ in Windows 98 environment.