• Applied Chemistry for Engineering
• /
• v.31 no.3
• /
• pp.334-337
• /
• 2020

Korea Laboratory Accreditation Scheme (KOLAS) introduces a new standard for test and calibration laboratories to operate management system and to produce valid results in accordance with the requirements of KS Q ISO/IEC 17025. The standard is based on the national standard law for the accreditation of test, inspection and calibration laboratories. International Laboratory Accreditation Cooperation (ILAC) has recently established its new criteria. The accredited test and calibration laboratories should complete the transition of their management system by November 2020 following KS Q ISO/IEC 17025:2017. A total of 899 of test, inspection and calibration laboratories in Korea are influenced by the transition policy. This paper summarized general requirements for a competence of laboratory management system.

• Journal of Contemporary Eastern Asia
• /
• v.12 no.1
• /
• pp.49-63
• /
• 2013

This work identifies the key factors influencing the success of multidisciplinary, interdisciplinary, and trans-disciplinary R&D projects in transition economies by integrating knowledge management, organizational, inter/intra-collaboration (open-innovation), and leadership perspectives, while also addressing the perspective of the science of team science, which is an integrative approach to R&D. This is followed by providing the major sub-constructs of team science and policy implications to better facilitate multidisciplinary, interdisciplinary, and transdisciplinary R&D projects in knowledge-based transition economies.

• Journal of Information Technology Applications and Management
• /
• v.15 no.3
• /
• pp.43-59
• /
• 2008

This paper studies small and medium sized financial agency's management states that take advantage of the Korea Federation of Saving Bank's data. It also presents the management state and the decision-making model that monitors progressive insolvency by standardizing transfer path between relevant groups. With this in mind, we extracted explanatory variables for predictions of insolvency by using existing studies of document related insolvency. First of all, we designed a state model based on demarcated groups to take advantage of the self organizing map that groups in line with a neural network. Secondly, we developed a transition model by standardizing the transfer path between individual banks in a state model. Finally, we presented a decision-making model that integrated the state model and the transition model. This paper will provide groundwork for methods of insolvency prevention to businesses in order for them to have a smooth management system in the financial agencies.

• International Journal of Industrial Entomology and Biomaterials
• /
• v.27 no.2
• /
• pp.326-328
• /
• 2013

Sericin undergoes gelation by the structural transition from random coil to b-sheet transition. In the present study, the gelation time of sericin solution was investigated in the presence of NaCl, KCl and $CaCl_2$. The addition of salts delayed the gelation time, and $CaCl_2$ had the most pronounced effect, which delayed about 8 h at maximum. The gelation time increased with the concentration of salt. The transition of secondary structure of sericin was retarded in the presence of salt. The effect of salts on the gelation time of sericin might be due to the solvation effect of relevant cation.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.13 no.1
• /
• pp.50-56
• /
• 2010

Military technology transition is the process of transition from the science and technology environment to systems to supply effective weapon systems and support systems to the fighters. In case of technology transition decision, immatured technologies result in increasing acquisition cost and delaying schedule toward the objective system. In this paper, we proposed a method to identify and select critical technology elements by integration relations between technologies or components, for supporting technology transition and risk management of military R&D projects.

• Industrial Engineering and Management Systems
• /
• v.10 no.4
• /
• pp.238-246
• /
• 2011

Given a directed graph, we can determine how the user's preference moves from one product item to another. In this graph called "preference transition network", each node represents the product item while its edge pointing to the other nodes represents the transition of user's preference. However, with the large number of items make the network become more complex, unclear and difficult to be interpreted. In order to address this problem, this paper proposes a visualization technique in preference transition analysis based on recency and frequency. By adapting these two elements, the semantic meaning of each item and its transition can be clearly identified by its different types of node size, color and edge style. The experiment in a sales data has shown the results of the proposed approach.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.10
• /
• pp.1-13
• /
• 2022

This paper empirically explores the predicting ability of the newly proposed smooth transition (ST) time-varying combining forecast methods. The proposed method allows the "weight" of combining forecasts to change gradually over time through its unique feature of transition variables. Stock market returns from 7 countries were applied to Ad Hoc models, the well-known Generalized Autoregressive Conditional Heteroskedasticity (GARCH) family models, and the Smooth Transition Exponential Smoothing (STES) models. Of the individual models, GJRGARCH and STES-E&AE emerged as the best models and thereby were chosen for constructing the combined forecast models where a total of nine ST combining methods were developed. The robustness of the ST combining forecasts is also validated by the Diebold-Mariano (DM) test. The post-sample forecasting performance shows that ST combining forecast methods outperformed all the individual models and fixed weight combining models. This study contributes in two ways: 1) the ST combining methods statistically outperformed all the individual forecast methods and the existing traditional combining methods using simple averaging and Bates & Granger method. 2) trading volume as a transition variable in ST methods was superior to other individual models as well as the ST models with single sign or size of past shocks as transition variables.

• Journal of Korea Multimedia Society
• /
• v.11 no.5
• /
• pp.641-650
• /
• 2008

As portable devices are used widely, power management algorithm is essential to extend battery use time on small-sized battery power. Although many methods have been proposed, they assumed the voltage transition overhead was negligible or was considered partially. However, the voltage transition overhead might not guarantee to schedule real-time tasks in portable multimedia systems. This paper proposes the adaptive power-aware algorithm to minimize the power consumption by considering the voltage transition overhead. It selects only a few discrete frequencies from the whole frequencies of a system and adjusts the interval between two consecutive frequencies based on the system utilization to reduce the number of frequency change. This algorithm saves the power consumption about 10 to 25 percent compared to a CC RT-DVS method and a frequency-smoothing method.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1999.10a
• /
• pp.188-188
• /
• 1999

• Journal of Korean Society of Archives and Records Management
• /
• v.7 no.1
• /
• pp.5-38
• /
• 2007

The purpose of this study is to examine the historical course of legislations on management of public records, analyse the transition process of records management systems on the basis of the life cycle of records, and eventually provide an effective measure reflecting the environment of public records management in Korea. It is significant that this study may provide better understanding of records management systems in Korea through the analysis of legislations with relation to public records management.