• Journal of Korean Library and Information Science Society
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• v.25
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• pp.207-223
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• 1996

Nowadays, the wide spectrum of changes have been occurred in library world. It is essential for librarians to improve their professionalization standards to convert these changes into the o n.0, pportunity of growth. The device of improvement of professionalization standards is following: 1. Librarians have to receive formal and informal education and learn to advance in knowledge and skill concerning library affairs continually. 2. Self learning has to be transform into learning organization. 3. Education of Librarianship concentrate mainly in practical and technical study by this time but it is indispensable to develop the theory and philosophy of librarianship.

• Journal of Korean Medicine Rehabilitation
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• v.18 no.2
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• pp.97-109
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• 2008

Objectives : Effects of Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) on intellectual development and learning ability were investigated growth and intellectual impairment rat with insufficient nutrition diet. Methods : We divided male Sprague-Dawley rats into 4 groups(A, B, C, D). They were normal group(A), growth deficiency rat with insufficient nutrition diet group(B), growth deficiency rat with 0.1% Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) group(C) and growth deficiency rat with 0.2% Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) group(D). They were administered for 5 weeks. We measured body weight, serum growth hormone, insulin-like growth factor and thyroid stimulating hormone, RBC, concentration of Hb and PCV ratio, total WBC and its composition, the values of plasma glutamic oxaloacetic transaminase(GOT) and glutamic pyruvic transaminase(GPT) activities and morris water maze test in escape distance, escape time and escape speed. Results : 1. Body weight showed a tendency to increase in the Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) groups and 0.2% Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) group showed significantly different than control groups. 2. Serum growth hormone, insulin-like growth factor and thyroid stimulating hormone showed a tendency to increase in Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) groups, however these values showed no significantly different. 3. About the counts of RBC, 0.1% and 0.2% Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) groups showed significantly different than control groups. Concentration of Hb was higher than control group in Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) groups. And 0.2% Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) group showed significantly different than control groups in PCV ratio. 4. The counts of total WBC and its composition showed no significantly different in all treatment groups. 5. The values of plasma glutamic oxaloacetic transaminase(GOT) and glutamic pyruvic transaminase(GPT) activities showed no significantly different in all treatment groups. 6. In the morris water maze test, in escape distance and escape speed, Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) groups showed no significantly different than control group. But Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) groups showed the increasing tendency. Conclusions : So Kyungohkgo($Qi{\acute{o}}ng\;y{\grave{u}}\;g{\grave{a}}o$) have an effect of promoting growth of rats and might be effect to treat various kinds of growth delay in children.

• The Journal of Information Systems
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• v.16 no.1
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• pp.201-230
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• 2007

Recently, the growth of e-Learning systems and its related information technology has presented a unique challenge for both schools and industry. It would make an extremely phenomenal paradigm shift in the educational method and practice. Methods of assessing the quality of e-teaming services and contents are critical issue in both practice and research. Moreover, many researchers are interested in what qualify factors more affect to the Performance of e-Learning service. Nevertheless, service quality is a construct that is difficult to define and measure. e-Learning services are composed of many factors, and they are more complicated than the traditional education services because they we performed on the distance basis and the many platforms of IT infrastructure. The purposes of our research are to classify the e-Learning service dimension and identify their factors, to develop the measurement of the factors, and finally to test empirically their relationship between the service factors and e-Learning service performance. For the development of the service factors we considered SERVQUAL model and SERVPERF model which were developed in the service marketing area. The SERVQUAL model was more fitted to the e-Learning services than the latter. From that we derived several factors that fit to our research domain, ie, tangibles, access, reliability, credibility, security, responsiveness, assurance, empathy. We combined three factors of them(reliability, credibility, security) into a factor, system stability for the semantic simplicity, and divided responsiveness factor into system operator responsiveness and teacher responsiveness as the entity based dimension classification. In the e-Learning services research, Most researcher are mentioned the quality factors of contents, so we added to two contents quality factors, ie, contents production method and richness of contents itself. We examined the relationship between the service quality factors and e-Learning performance(student satisfaction and service reuse intention). As result three quality factors(contents production method, teacher responsiveness, empathy) significantly affected student satisfaction. To the other performance variable, ie, service reuse intention, the teacher related quality factors(such as teacher responsiveness, assurance, empathy) affected only. In conclusion, even in the on-line distance teaming, the teacher's role md earnestness is as important as ever.

• Journal of the Korea Safety Management & Science
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• v.24 no.3
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• pp.61-74
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• 2022

In a rapidly changing environment, it is essential for companies to develop their capabilities for sustainable growth. To this end, informal learning at work plays an important role for small and medium-sized enterprises that are having difficulties in human resource development. If the GRIT of workers and the spiritual leadership of leaders are maintained at an appropriate level, the effect of informal learning will increase. This study derived the following results through a survey of workers participating in the Work-learning Dual System in Korea. First, experience and feedback among informal learning activities have a significant positive effect on competency development. Second, the higher the level of the GRIT of workers, the greater the magnitude of the positive effect of experience and feedback on competency development, showing a positive moderating effect. Third, in the case of workers with high GRIT, capacity development is strengthened as experience or feedback increases, and the higher the level of spiritual leadership, the greater the scope of reinforcement. On the other hand, it can be seen that in the case of workers with low GRIT, competency development weakens as experience or feedback increases, and the higher the level of spiritual leadership, the greater the extent of the weakening.

• Smart Media Journal
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• v.12 no.10
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• pp.47-54
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• 2023

As understanding sudden climate change and agricultural productivity becomes increasingly important due to global warming, soil moisture prediction is emerging as a key topic in agriculture. Soil moisture has a significant impact on crop growth and health, and proper management and accurate prediction are key factors in improving agricultural productivity and resource management. For this reason, soil moisture prediction is receiving great attention in agricultural and environmental fields. In this paper, we collected and analyzed open field environmental data using a pilot field through random forest, a machine learning algorithm, obtained the correlation between data characteristics and soil moisture, and compared the actual and predicted values of soil moisture. As a result of the comparison, the prediction rate was about 92%. It was confirmed that the accuracy was . If soil moisture prediction is carried out by adding crop growth data variables through future research, key information such as crop growth speed and appropriate irrigation timing according to soil moisture can be accurately controlled to increase crop quality and improve productivity and water management efficiency. It is expected that this will have a positive impact on resource efficiency.

• Korean Business Review
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• v.21 no.2
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• pp.111-136
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• 2008

The central purpose of this study is to examine the relationships among learning and growth perspective, internal business process perspective, custom perspective, financial perspective, and general performance. To achieve this purpose, this study uses Kaplan and Norton's(1996) Balanced Scorecard Model theory. A field survey was undertaken through questionnaire sampling a population of construction companies. The data was collected from 185 firms in Korea for the analysis. The major findings of this study can be summarized as follows; Theoretical consideration and empirical study indicate statistically significant relationship(F=7.68, p=0.000). Especially, Financial perspective appeared to mediate the relationship between non-financial perspectives and general performance. It concludes that Non-financial perspectives significant affect the financial perspective and general performance. But, there are several limitations and directions for future research that should be noted. The potential limitation of this study concerns sampling and for selection process. Future research needs to reduce potential bias by collecting data which allows multiple industries for a subset of the sample.

• Smart Media Journal
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• v.11 no.4
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• pp.9-18
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• 2022

Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

• Journal of IKEEE
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• v.23 no.4
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• pp.1393-1399
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• 2019

With the rapid growth of the Internet, millions of indiscriminate advertising SMS are sent every day because of the convenience of sending and receiving data. Although we still use methods to block spam words manually, we have been actively researching how to filter spam in a various ways as machine learning emerged. However, spam words and patterns are constantly changing to avoid being filtered, so existing machine learning mechanisms cannot detect or adapt to new words and patterns. Recently, the concept of Lifelong Learning emerged to overcome these limitations, using existing knowledge to keep learning new knowledge continuously. In this paper, we propose a method of spam filtering system using ensemble techniques of naive bayesian which is most commonly used in document classification and LLML(Lifelong Machine Learning). We validate the performance of lifelong learning by applying the model ELLA and the Naive Bayes most commonly used in existing spam filters.

• Journal of Distribution Science
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• v.15 no.12
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• pp.95-102
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• 2017

Purpose - This study aims to develop diagnostic indices for managerial performance of agro-food distribution corporations. In particular, weights of diagnostic indices were estimated using the AHP method. Management diagnosis on agro-food distribution corporations is expected to increase their competitiveness in the domestic market as well as in international markets. Research design, data, and methodology - It develops weights or importance of the diagnostic indices based upon the survey of 21 experts in food distribution management. The survey was carried out using e-mail. Management diagnostic indices were developed based upon four BSC(Balanced Scorecard) perspectives of finance, learning/growth/leadership, customer, and internal process/technology. Results - Diagnostic indices on financial perspective consist on profitability, productivity, growth, stability and activity. Learning and leadership perspective indices consist of management will, CEO leadership, level of learning, innovation, and level of management information system. Customer perspective indices are branding, customer and channel management and internal process/technology indices consist of fourteen sub-indices representing technologies, efficiency, and dynamics. It was estimated that the weight of financial perspective index was 0.3, internal process/technology perspective index 0.248, customer category index 0.247, and learning, growth and leadership perspective index 0.205. This study also estimates weights of sub-indices for managerial diagnosis by four different perspectives. Estimated weight of profitability (0.085) is the greatest among financial perspective indices, followed by stability (0.072), growth (0.053), productivity (0.051), and activity (0.038). While estimated weights of leadership, capability, and information indices are 0.100, 0.061, and 0.044 respectively, weights of marketing, customer management, and quality and service indices are 0.104, 0.093, and 0.051, respectively. Among internal process/technology perspective, estimated weights of efficiency, technology, and innovation indices are 0.106, 0.088, and 0.054, respectively. Conclusions - The diagnostic indices for managerial performance of agro-food distribution corporations would be utilized by agro-food distribution corporations themselves, extension service institutions, and consultants. It is also expected that central and local governments use diagnostic indices developed in this study for the purpose of evaluating the effects of governmental support programs for agro-food distribution corporations. Futhermore researchers and consultants would modify diagnostic indices developed in this study, reflecting characteristics and situation of types of agro-food distribution corporations.

• Journal of the Ergonomics Society of Korea
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• v.5 no.2
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• pp.11-15
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• 1986

In this paper, we consider the validity of a human probabilistic learning model applied to the perdiction of errors associated with the absolute identification of tones. It is shown that the probabilistic learning model describes the human error process adequately. The model parameters are estimated by two methods which are the method of maximum likelihood, and the method of mement. The MLE version of the model has the better predictive power but the ME version is more readily obtainable and may be more practical.