• Korean Institute of Interior Design Journal
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• v.15 no.3 s.56
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• pp.144-154
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• 2006

Except the time when relics of a museum are exhibited or loaned to the public, they are stored in a storage. In addition, it is common view that collections are exhibited a few of total stored collections in a museum. Therefore, the environmental condition of a storage is an important factor. Hereby, the purpose of this study is to suggest the design guidelines of a storage for conservation of relics in a museum. The results from this study are as follows briefly. First, location of storages has to be located and centralized above ground against preservation environment and additional renovation. Second, for storage size, It is reasonable to secure long-term experimental data after planning about 20% of whole section in present domestic situation. Third, in order to prevent environmental deterioration due to short storage floor space, adequate storage height has to be secured against a mezzanine deck and spare storages need to be planned. Where a mezzanine deck is designed, detailed plans have to be supported for equal micro climate in a storage. Fourth, in respect of environmental control of storages, finish materials with adjustment ability on relative humidity have to be used after the system is installed jointly direct and indirect way by air chamber, considering domestic condition for management of intermittent ventilation.

• Communications for Statistical Applications and Methods
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• v.23 no.3
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• pp.203-213
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• 2016

We investigate volatility spillover aspects of realized volatilities (RVs) for the log returns of the Korea Composite Stock Price Index (KOSPI) and the Hang Seng Index (HSI) from 2009-2013. For all RVs, significant long memories and asymmetries are identified. For a model selection, we consider three commonly used time series models as well as three models that incorporate long memory and asymmetry. Taking into account of goodness-of-fit and forecasting ability, Leverage heteroskedastic autoregressive realized volatility (LHAR) model is selected for the given data. The LHAR model finds significant decompositions of the spillover effect from the HSI to the KOSPI into moderate negative daily spillover, positive weekly spillover and positive monthly spillover, and from the KOSPI to the HSI into substantial negative weekly spillover and positive monthly spillover. An interesting result from the analysis is that the daily volatility spillover from the HSI to the KOSPI is significant versus the insignificant daily volatility spillover of the KOSPI to HSI. The daily volatility in Hong Kong affects next day volatility in Korea but the daily volatility in Korea does not affect next day volatility in Hong Kong.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2469-2490
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• 2019

A low-energy adaptive clustering hierarchy (LEACH) protocol is a low-power adaptive cluster routing protocol which was proposed by MIT's Chandrakasan for sensor networks. In the LEACH protocol, the selection mode of cluster-head nodes is a random selection of cycles, which may result in uneven distribution of nodal energy and reduce the lifetime of the entire network. Hence, we propose a new selection method to enhance the lifetime of network, in this selection function, the energy consumed between nodes in the clusters and the power consumed by the transfer between the cluster head and the base station are considered at the same time. Meanwhile, the improved FTBA algorithm integrating the curve strategy is proposed to enhance local and global search capabilities. Then we combine the improved BA with LEACH, and use the intelligent algorithm to select the cluster head. Experiment results show that the improved BA has stronger optimization ability than other optimization algorithms, which the method we proposed (FTBA-TC-LEACH) is superior than the LEACH and LEACH with standard BA (SBA-LEACH). The FTBA-TC-LEACH can obviously reduce network energy consumption and enhance the lifetime of wireless sensor networks (WSNs).

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.229-237
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• 2018

This paper considers effective timetable modules in order to easily satisfy various user requirements during scheduling timetables in universities. Noticing that the methods for allocating time blocks change according to the timetable modules, we suggest six models of symmetric timetable modules composed of 4 blocks, and show that our models have more benefits without any loss from the viewpoint of customers, if the suppliers consider the decreasing upper bound of ratio utilizing space resources. By adapting a concept of potentially determined blocks and suggesting their management strategies, finally, we accomplish a method for supporting flexibility and controllability when the universities timetables are scheduled.

• Journal of the Korean Wood Science and Technology
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• v.50 no.6
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• pp.490-498
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• 2022

The current study aimed to verify the image segmentation ability of rays in tangential thin sections of conifers using artificial intelligence technology. The applied model was Mask region-based convolutional neural network (Mask R-CNN) and softwoods (viz. Picea jezoensis, Larix gmelinii, Abies nephrolepis, Abies koreana, Ginkgo biloba, Taxus cuspidata, Cryptomeria japonica, Cedrus deodara, Pinus koraiensis) were selected for the study. To take digital pictures, thin sections of thickness 10-15 ㎛ were cut using a microtome, and then stained using a 1:1 mixture of 0.5% astra blue and 1% safranin. In the digital images, rays were selected as detection objects, and Computer Vision Annotation Tool was used to annotate the rays in the training images taken from the tangential sections of the woods. The performance of the Mask R-CNN applied to select rays was as high as 0.837 mean average precision and saving the time more than half of that required for Ground Truth. During the image analysis process, however, division of the rays into two or more rays occurred. This caused some errors in the measurement of the ray height. To improve the image processing algorithms, further work on combining the fragments of a ray into one ray segment, and increasing the precision of the boundary between rays and the neighboring tissues is required.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.285-291
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• 2022

The number of people enrolling in universities is rising due to the simplicity of applying and the benefit of earning a bachelor's degree. However, the on-time graduation rate has declined since plenty of students fail to complete their courses and take longer to get their diplomas. Even though there are various reasons leading to the aforementioned problem, it is crucial to emphasize the cause originating from the management and care of learners. In fact, understanding students' difficult situations and offering timely Number of Test data and advice would help prevent college dropouts or graduate delays. In this study, we present a machine learning-based method for early detection at-risk students, using data obtained from graduates of the Faculty of Information Technology, Dainam University, Vietnam. We experiment with several fundamental machine learning methods before implementing the parameter optimization techniques. In comparison to the other strategies, Random Forest and Grid Search (RF&GS) and Random Forest and Random Search (RF&RS) provided more accurate predictions for identifying at-risk students.

• Management & Information Systems Review
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• v.30 no.3
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• pp.27-56
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• 2011

At this point in time when the percentage of foreign consumers as well as domestic consumers are being increased in domestic open market users due to the recent interest and promotion on the open market, the purposes of this study are as follows. First, the relationship between open market brand personality, satisfaction and brand loyalty will be clarified targeting all Korean consumers and Chinese consumers using domestic open market. Second, whether there is difference in the effect of domestic open market brand personality on customer satisfaction and brand loyalty between Korean consumers and Chinese consumers will be compared. The results are as follows. First, as a result of testing the study hypothesis targeting the open market users, in other words targeting all Korean consumers and Chinese consumers, only the ability among brand personality dimensions did not have positive effect on the satisfaction toward open market. Other than that, it could be confirmed that the reliability, sincerity and familiarity, etc are important influence factors in forming satisfaction toward open market. Next, as a result of testing whether there is difference in the effect of domestic open market brand personality on customer satisfaction and brand loyalty between Korean consumers and Chinese consumers, it was shown as having difference. In other words, the Korean consumers were shown as not having positive significant effect in the relationship between the ability among brand personality and satisfaction toward open market while all other brand personality dimensions were shown as having positive effect on the satisfaction toward open market. It could be found that if the satisfaction toward open market is high, the brand loyalty toward open market also gets high.

• Health Policy and Management
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• v.10 no.2
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• pp.41-77
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• 2000

This study aimed at the analysis, from the perspective of rationality, of policy making process in the separation of prescribing and dispensing. This study is to identify the characteristics and problems of the policy process to introduce the new durg-prescription system, and make policy recommendations. In terms of separation of prescribing and dispensing, the development of policy making process can be divided into two periods; periods before and after the inauguration of the govemment of people. In the period before the govermment of poeple, one of the major characteristics of policy decision on the new system was the poweful influence of interset groups. At that time, the ministry lacked the problem-solving ability and commitment on the policy. Consequently, during the former period, the policy making process had been driven by interest groups. Therefore, the original purpose of the policy to secure the pulic health was lost. During the latter period, there was also the strong influence of interst groups, complexity of interest, the ministry's inability of problem solving. However, in this period, it is notable that this has drawn nation-wide attention, severl civic grouos have participated in the policy making process, and that the number and voice of these groups have remarkably increased. With regards to rationality, incrementalish model is highly sutable to explain the policy making process in the former period. But in the latter period when the new drugperscripition system became a national issue and civic groups began to participte in this matter more actively, rational model is more explanatory that incrementalism to understand the process. During the latter period, the original goal of this policy was not distored by a few interest groups thanks to the rapid development of civil movement and therebly a big influence of civic groups on the policy making. For that reson, a jigh level of rationality is found in the policy-making process of the latter period. Some suggestions to achieve the rationality in the policy making process based on the results of this study are as follows; Frist, the public's participation should be enered in the policy making process. Second, the govermment should make contiuns efforts to enhance its ability of long-term planning and policy implementation, and increase rationality of policy making process. Third, balance among interset groups should take place in the process of policy making. Forth, sound, constructive, and logical activity of interest groups is necessary to express and promote their interests.

• Journal of Sasang Constitutional Medicine
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• v.23 no.1
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• pp.115-124
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• 2011

1. Objectives : This study aimed to provide practical insights on the development of traditional Korean medical tourism and maximize the satisfaction of foreign patients. The main objectives of this study were also to evaluate Sasang Constitutional Medicine(S.C.M.) diagnosis cost from foreigners' perspectives. 2. Methods : For this study, the data were collected from tourists to Korea between January 3, 2010 to February 20, 2010. The sample used in this study was mainly composed of Japanese, Chines and US/Canada, because they are the major national visitor origin group to Korea. The primary data were collected by questionnaire survey using a standardized instrument with a convenience sampling procedure, and efforts of the interviews involved an on-site, self-administrated questionnaire to those sitting or visiting tourist attractions. The total size of the sample was 276 of which 275 showed no missing value against the factors needed for final analysis and were for analysis as an effective sample. SPSS 13.0 for window was used to analyze the collected data on which descriptive statistics and the Limited Dependent(LIMDEP) 8.0 program was used in estimating the willingness-to-pay(WTP) for traditional Korean medical tourism through the Contingent Valuation Method(CVM). A dichotomous choice question form of a CVM was applied to estimating the value. 3. Results and Conclusion: 1. There was significant statistical relationship between attributes when considering medical tourism destination and socio-demographic profiles such as age group, nationality, educational level and occupation. 2. In the level of recognition on Korean medicine, north Americans showed low level of recognition compared to other nationalities. In addition, in terms of age group, 20's and 30's showed low level of recognition on Korean medicine, 3. In relation to the level of interest on Korean medicine, Japanese respondents had higher interesting level on Korean medicine. Also singles had higher level of interest. 4. Regarding preferred Korean medical treatment program, there found significant statistical relationship between Korean medical treatment program and socio-demographic characteristics. 5. The estimating result of the logit model showed that the variables affecting the WTP for Sasang Constitutional medicine diagnosis were offered price and potential ability of medical tourism destination. 6. In relation to WTP for Sasang Constitutional medicine diagnosis, Japanese respondents showed a WTP of USD 62.69 and Chinese respondents showed USD 57.09. On the other hands, respondents from north America and other countries showed a WTP of USD 65.50. In conclusion, from this study, the results found that the opportunities in tradition Korean medical tourism are immense and the possible rewards are numerous. It is time to continue to promote 'Sasang Constitutional medicine' and make the Korean medical tourism programs considering on nationalities, age group, gender and WTP.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.259-267
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• 2022

With the rapid development and introduction of digital technologies, both everyday human life and technological processes of any production are changing, which stimulates the transformation of the economy and education. Digital technologies are not only a tool, but also a living environment of modern human, which opens up new opportunities: learning at any convenient time, continuing education, the ability to form individual educational learning trajectories and more. However, the digital environment requires teachers to take a modern approach to the organization of the educational process, the formation of new skills and abilities to work in the digital educational environment. As a result of the study, it was found that the system of vocational education should provide training for masters of industrial training who have a high level of digital competence. The purpose of the article is to single out, theoretically substantiate and determine the level of formation of structural components of digital competence of future masters of agricultural training. The structure of digital competence of agricultural master was analyzed on the basis of domestic and foreign scientists researches. Systematized research results indicate that digital competence consists of four components: motivational-value (combination of internal and external motives for the use of digital technologies in future professional activities), cognitive (a set of theoretical knowledge, skills and abilities of future master of industrial training to effectively build educational process with the use of digital technologies), activity-professional (expansion and deepening of knowledge, skills, necessary skills for effective implementation of digital technologies in the educational process) and evaluative-reflexive (ability to analyze and self-analyze own activities and its results taking into account professional characteristics, self-realization in professional activities through the use of digital technologies). These components are comparable with the indicators that describe the knowledge, skills and abilities needed by the future master of industrial training to organize the modern educational process. A questionnaire was conducted to determine the levels of this competence formation, which allows us to conclude that it is necessary to increase the level of formation of all components of digital competence of future masters of industrial training in agriculture. The results of the study can be used as a basis for the development of disciplines that form the special competencies of masters of industrial training in agriculture and programs of advanced training of teachers.