• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.216-232
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• 2008

This paper aim to review the extent of Park Je-Ga's geographical interest and knowledge and where he intended to make good use of them through Bukhakui(北學議). In particular, it was classified and interpreted as the contents related to agricultural, industrial and commercial geography focusing on the contents of the economic geography. As for the contents related to agricultural geography, it suggests minutely and precisely the necessity and concrete methodology for farmland, seeding, fertilization, breeding of cattle, sericulture and fruits. As for the contents related to industrial geography, it lays emphasis on the pursuit of the modernization of ours by means of accepting high-tech, industrial engineering and knowledge from Western scholars who were staying in Beijing. As for the contents related to commercial geography, it puts emphasis on the conversion of idle labor capacity of the nobility to practical production capacity, the pursuit of economic vitalization by opening land transportation through wheels and the trade by sea with neighboring countries such as Qing, Japan, Ryukyu, Vietnam and so on. It can be known through this study that Park Je-Ga was a realist who made an effort to raise the economic power of the region and the country with using his endeavor of economic geographical interest and knowledge. His economic geographical interest and knowledge were connected directly with practical use. If his economic geographical knowledge and way of thinking had been accepted successfully at that time, the economic power in the latter half of the Joseon dynasty could have leaped to a considerable degree.

• Journal of the Korean Electrochemical Society
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• v.13 no.2
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• pp.116-122
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• 2010

A $Cu_3Si$ film electrode is obtained by Si deposition on a Cu foil using DC magnetron sputtering, which is followed by annealing at $800^{\circ}C$ for 10 h. The Si component in $Cu_3Si$ is inactive for lithiation at ambient temperature. The linear sweep thermammetry (LSTA) and galvano-static charge/discharge cycling, however, consistently illustrate that $Cu_3Si$ becomes active for the conversion-type lithiation reaction at elevated temperatures (> $85^{\circ}C$). The $Cu_3Si$ electrode that is short-circuited with Li metal for one week is converted to a mixture of $Li_{21}Si_5$ and metallic Cu, implying that the Li-Si alloy phase generated at 0.0 V (vs. Li/$Li^+$) at the quasi-equilibrium condition is the most Li-rich $Li_{21}Si_5$. However, the lithiation is not extended to this phase in the constant-current charging (transient or dynamic condition). Upon de-lithiation, the metallic Cu and Si react to be restored back to $Cu_3Si$. The $Cu_3Si$ electrode shows a better cycle performance than an amorphous Si electrode at $120^{\circ}C$, which can be ascribed to the favorable roles provided by the Cu component in $Cu_3Si$. The inactive element (Cu) plays as a buffer against the volume change of Si component, which can minimize the electrode failure by suppressing the detachment of Si from the Cu substrate.

• Journal of Korean Medical classics
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• v.24 no.5
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• pp.99-105
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• 2011

The medical treatment is process of collecting symptoms, making a diagnosis and treatment for the diagnosis. The remedy and the efficacy are the important hinge that links the diagnosis to the means of medical treatment. Lots of medical data are stored on database or saved as files in these days. The preferential way to find the efficacy related to the remedy is search all efficacy terms match up to the remedy term. To increase the rate of matching remedy terms with efficacy terms, we study the relation between efficacy terms and remedy terms and research the conversion way of the terms into the representative terms. The rate of matching the raw remedy terms with the raw efficacy terms is below 30%. The rate of matching the disaggregate remedy terms with the disaggregate efficacy terms is about 50%. The rate of matching the representative remedy terms with the representative efficacy terms is almost 70%.

• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.672-679
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• 2011

In this paper, detection algorithm of face region based on skin color of in the TV images is proposed. In the first, reference image is set to the sampled skin color, and then the extracted of face region is candidated using the Euclidean distance between the pixels of TV image. The eye image is detected by using the mean value and standard deviation of the component forming color difference between Y and C through the conversion of RGB color into CMY color model. Detecting the lips image is calculated by utilizing Q component through the conversion of RGB color model into YIQ color space. The detection of the face region is extracted using basis of knowledge by doing logical calculation of the eye image and lips image. To testify the proposed method, some experiments are performed using front color image down loaded from TV color image. Experimental results showed that face region can be detected in both case of the irrespective location & size of the human face.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.71-77
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• 2021

Recently, there is a demand for efficient program development of an IoT application support frameworks considering heterogeneous hardware characteristics. In addition, the scope of hardware support is expanding with the development of neuromorphic architecture that mimics the human brain to learn on their own and enables autonomous computing. However, most existing IoT IDE(Integrated Development Environment), it is difficult to support AI(Artificial Intelligence) or to support services combined with various hardware such as neuromorphic architectures. In this paper, we design an AI component abstract model that supports the second-generation ANN(Artificial Neural Network) and the third-generation SNN(Spiking Neural Network), and implemented an autonomous IoT IDE based on the proposed model. IoT developers can automatically create AI components through the proposed technique without knowledge of AI and SNN. The proposed technique is flexible in code conversion according to runtime, so development productivity is high. Through experimentation of the proposed method, it was confirmed that the conversion delay time due to the VCL(Virtual Component Layer) may occur, but the difference is not significant.

• The Journal of Korean Medicine
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• v.42 no.1
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• pp.99-109
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• 2021

Objectives: Objective: The purpose of this study is to investigate the treatment of herbal medicine for patients with COVID-19 asymptomatic infections. Method: In English, search engines such as 'PubMed', 'Science Direct', and 'Cumulative Index to Nursing and Allied Health Literature (CINAHL)' were used. In Chinese, search engines such as 'China National Knowledge Infrastructure (CNKI)' and Wanfang were used. The keywords for the search engines were 'COVID-19', 'asymptomatic infection', 'Korean Medicine', 'traditional Chinese medicine', 'herbal medicine', and etc. Only clinical studies using herbal medicine for patients without fever or respiratory symptoms were selected. We excluded the cases that do not fit the research topic. Results: A total of 5 studies were finally selected. Among them, four of them used integrated herbal medicine and Western medicine, and one of the studies treated exclusively for herbal medicine. There were a total of seven prescriptions for herbal medicine used in the study. Outcome variables were used as following: lab test, nucleic acid conversion time, hospitalization period, chest CT, and etc. In the RCT study, herbal medicine and Western medicine decreased nucleic acid conversion time, average hospitalization time compared to the control group, but it was not statistically significant. No other adverse reactions were reported in all studies. Conclusion: According to the results, integrated herbal medicine and Western medicine might be an effective treatment for patients with COVID-19 asymptomatic infection reducing hospitalization period, time of nucleic acid turning negative. No severe adverse effects were reported. However, it is thought that better-designed research will be needed in the future.

• Management & Information Systems Review
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• v.31 no.4
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• pp.559-592
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• 2012

In spite of the transitional changes in the shoe industry in Busan area, regular academic studies on the management plan to improve the practical competitiveness of footwear industry focused in the materials, bio-dynamics, components, and designs, etc. in the engineering viewpoint are very rare. Many reports of policies were published from late 190's to 2000's but they were limited to the identification of practical situations and the measures for strategic alternatives and were not developed to be the academic studies to improve the competitiveness in terms of management control. It is intended to seek for the measures to be reviewed as the alternatives to improve the self-competitiveness of footwear companies by approaching the problems limited to such specific area in the viewpoint of management control. The core of this study is to provide the alternative plans for expansion of the industrial foundation by seeking for the measures to improve competitiveness with application of knowledge management as an alternative for improvement of not transient but sustainable industrial competitiveness, in order to help the export of shoes from Busan area which has been rapidly increased since the Korea-USA FTA and Korea-EU FTA. In such viewpoint, in the study, a questionnaire survey was performed related with the issues of Busan's footwear industry and the plan to implement knowledge management was discussed for improvement of the competitiveness of footwear industry based on the result of such questionnaire survey. As most of studies and directions have been focused in functional shoes, designs, materials, and components, etc., which are related with the properties of human dynamics, as the alternatives for improvement of the footwear industry of Busan area and did not suggest the measures to make basic changes in the management of companies, the implementation of knowledge management was emphasized in order to seek for the direction of such plan. The purpose of this study is to suggest an alternative for construction of industrial eco-system for high added value by seeking for the probability of knowledge management for conversion of footwear industry into knowledge industry. In order to accomplish the effect of increased export as the result of FTA, current management method of footwear companies is limited and the effect of FTA should be maximized by improving the competitiveness with implementation of knowledge management methods. Settlement of such knowledge management will act as the momentum to improve the competitiveness of footwear companies and, in a long-term viewpoint, will be able to maximize the improvement of knowledge industry and creation of job opportunities.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..

• Journal of Digital Convergence
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• v.14 no.10
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• pp.61-69
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• 2016

Recently, university education is changing from content- centered to learner - centered education not to deliver knowledge unilaterally but to help student to cultivate their skills to discover and apply knowledge for themselves. It means that students' cognitive or emotional development is being emphasized. Also, because of universities' quantitative expansion, more strict evaluation on professors' research result, or conversion to a departmental system in a university organization, it has become a crucial issue for undergraduates to adapt to college life successfully. Along with this trend of university education, an academic advising system is becoming one of the most important areas in it as in not only provides students with necessary academic information but also helps them adapt to college life by developing their potentials and integrating their career and life plans. Therefore this study is going to examine the status of academic advising systems in US universities, investigate how Dongguk University's Paramita college operates its academic advising system, and find out way to establish academic advising system in Korean universities.

• Korean Journal of Community Nutrition
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• v.14 no.3
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• pp.316-326
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• 2009

The purposes of this study were to identify the significance of a nutrition teacher, to analyze the importance of competence as a nutrition teacher and to evaluate the importance and difficulty for duties of nutrition teachers. The questionnaire was distributed to 554 preliminary teachers and a total of 468 usable data were collected with 84.5% of response rate from August to October 2006. The statistical data analysis was completed by using SPSS Win (ver. 10.0) for descriptive analysis, t-test, ANOVA and ${\chi}^2-test$. The results were as follows: Preliminary nutrition teachers expected that conversion of a school dietitian into a nutrition teacher could lead to systematic and constant nutrition education and come into synergic effect by doing meal service with nutrition education. For a teacher's competence, all three paradigms were perceived as important. It was evaluated to be high for a knowledge factor in the empirical analytic paradigm, a personality factor in the practical interpretive paradigm and an attitude factor in the critical emancipatory paradigm. And 'a knowledge for nutrition and sanitation (4.59)' and 'an ability to raise a self-management capacity for right food habit and dietary life (4.59)' were showed as most important in a nutrition teacher. It appeared that both important and difficult duties of nutrition teachers were nutrition education, nutrition counseling and sanitation quality of nutrition education; the most necessary solution was to develop a reference and program for nutrition education (37.4%). In conclusion, the systematic supports of district offices of education and associated institutions as well as sustained efforts of preliminary nutrition teachers for themselves should lead to establish a successful system of nutrition teachers.