• The Journal of Korean Medical History
• /
• v.31 no.2
• /
• pp.63-72
• /
• 2018

As Korea's representative medical text, "Donguibogam" reveals Korean Medicine's unique perspective on the human body. The text also contains abundant resources related to skin, leading to diverse researches on the subject today. In this paper, authors tried to elicit values of "Donguibogam" in the general cosmetics field, through literature review. First, prescriptions related to main functions of modern cosmetics (anti-aging, whitening, and moisturizing) were classified. In relation to anti-aging, concepts such as 返老 (reversing aging), 還童 (to become young again), 皺 (wrinkle), and 皮急 (tense skin) were extracted and 69 examples of treatments were introduced. For whitening care, 41 treatments were mentioned on hyper-pigmentation and general complexion. Concepts related to moisturizing included expressions such as 潤肌膚 (hydration of skin) and 光澤 (glow), induced by 48 treatment prescriptions. Second, cosmetics related prescriptions were classified according to the application methods of modern cosmetics. 78 prescriptions of cleansing category included washing-off local area with herbal liquid, bathing, washing-off after steaming, and soaking the body in the herbal liquid. Total of 308 topical application prescriptions covered the conditions of various skin inflammations, scalp illnesses, and etc. In conclusion, this research examines the value of "Donguibogam" as a useful of skincare. Further studies are expected to extend our understanding of the field.

• Journal of Korean Society on Water Environment
• /
• v.26 no.2
• /
• pp.191-199
• /
• 2010

Introduction of Technology-Based Effluent Limitations (TBELs) concepts into Korea requires extensive and through analyses on the expected pollutants reduction effects and the cost factor for the industry side. In addition, the TEBLs should be optimized for the regulatory environments of Korea and be applied in a progressive manner to minimize the undesirable effects. It is also necessary to assess the contribution of each industrial categories's to the pollution of natural water bodies to find the priority of TEBLs application. For these purposes, the pollution loads of various industrial categories were analyzed using risk assessment indicator based on Toxic Weighting Factors (TWFs). First, the TWFs were calculated for the pollutants regulated using the method adopted by USEPA. And the effluent characteristics of the eighty two categories of industry in Korea were investigated. Although the analytical data on the wastewater from different industrial categories are relatively limited, the results from two previous studies were used. The first study, conducted by the National Institute of Environmental Research in 2001~2004, investigated the wastewater characteristics from 255 industrial sources covering the major 20 industrial categories. The second study includes more recent analytical data for the wastewater from 500 industrial sources, covering all the 82 industrial categories. In the result of the pollution loads analyses, the category of 'Synthetic and Chemical manufacture' was found to show the highest raw pollution load. On the other hand the category of 'Ion & Steel manufacture' was found to show the highest effluent pollution loads, which can be considered as the real impacts on natural water streams. The top five categories occupied 62.2% of the total effluent pollution loads. Through the analyses, the relative importances of each industrial categories and the priorities of TEBL-based pollution reduction were determined.

• Journal of the Korean Solar Energy Society
• /
• v.34 no.2
• /
• pp.32-43
• /
• 2014

This study set out to identify the importance of each factor influencing facility selection with a survey among public medical facilities under the category of public buildings and apply the importance of economy, technology and environment with the weighting factor method, thus proposing optimal application plans. The research content of each section can be summarized as follows:1) Estimated energy consumption according to the energy simulation was 65,129MWh/yr, which was 18.7% higher than that according to the calculation equation. Of the energy consumption, more than 80% was used by heating and cooling facilities and construction facilities, and 20% was used by electronics such as medical equipments and in and outdoor lighting. 2) The results of a survey on the factors influencing the importance when selecting a new and renewable energy system reveal that the upper items had a priority in economy, environment, and technology in the descending order and that the lower item shad a priority in initial investments, maintenance and repair costs=energy costs, supply reliability, energy efficiency and $CO_2$ emissions in the descending order. 3) The application alternatives were analyzed in economy, technology, and environment. As a result, a geothermal system turned out to be the most excellent one a cross all the upper and lower comparison items. Of the other systems, a solar thermal system was superior in initial investments, maintenance and repair costs, and energy efficiency, where as a photovoltaic system was superior in energy costs, supply reliability, and $CO_2$ emissions. 4) As for the mixed application ratio among economy, technology, and environment, when the percentage of a geothermal system was approximately 80% or higher in anew and renewable energy system, it was the best and most optimal application plan.

• Journal of Korean Society on Water Environment
• /
• v.26 no.1
• /
• pp.1-9
• /
• 2010

Technology-Based Effluent Limitations (TBELs) is a permit limits for a pollutant that is based on the capability of a treatment technology to reduce the pollutant to a certain concentration. Widely practiced for regulations of industrial wastewater in US, TBELs has been accepted as an effective means that can achieve balanced goals between complete elimination of pollutants discharge and economic feasibility for industries. The review of TBELs application in US and the applicability of TBELs to the domestic industry categories was given in three papers. In the first paper, the development and practices of TBELs in US were reviewed including case studies. The developments of TBELs in US in the four major categories, the metal products & machinery, the petroleum refining, the porcelain enameling and the meat & poultry products were reviewed. The applicability of TBELs to the domestic industrial categories was also assessed. In the second paper, the pollution loads analysis for domestic industrial wastewater was conducted based on risk assessment indicator using Toxic Weighting Factors (TWFs). This is an essential part to determine the priority of TBELs application for the domestic industrial categories. In the last paper, the application of TBELs to the domestic industries was demonstrated through a case-study for the pulp/paper/paperboard category. Direct application of TBELs of US into the Korean regulation system may not be desirable because the specific goals and the environment for the regulations for the two countries may not be identical. For example, unlike US, Korea does not adopt the individual permit system for pollution sources. However, among the unproductive and exhaustive controversies over the uniform regulations regardless of the industrial categories in Korea, the introduction of the principles of TBELs are inevitable and more extensive study for applications of TBELs optimized for Korean regulation system will be necessary.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.7 no.2
• /
• pp.132-137
• /
• 2007

Experimental software data capturing the essence of software projects (expressed e.g., in terms of their complexity and development time) have been a subject of intensive modeling. In this study, we introduce a new category of Hybrid Fuzzy Neural Networks (gHFNN) and discuss their comprehensive design methodology. The gHFNN architecture results from highly synergistic linkages between Fuzzy Neural Networks (FNN) and Polynomial Neural Networks (PNN). We develop a rule-based model consisting of a number of "if-then" statements whose antecedents are formed in the input space and linked with the consequents (conclusion pats) formed in the output space. In this framework, FNNs contribute to the formation of the premise part of the overall network structure of the gHFNN. The consequences of the rules are designed with the aid of genetically endowed PNNs. The experiments reported in this study deal with well-known software data such as the NASA dataset. In comparison with the previously discussed approaches, the proposed self-organizing networks are more accurate and yield significant generalization abilities.

• Korean Security Journal
• /
• no.6
• /
• pp.327-340
• /
• 2003

As a countermeasure under accidental occurrence situation, First, as application form of martial arts, A security guard foster ability that can protect a target person of guard and own body under accidental occurrence situation through incessant martial arts practice. To achieve this purpose, incessant training mental power and physical strength reinforcement should be kept on to prevent, therefore make a safety control function for such as weapon, small arms, explosive, vehicles terror etc. happened under accidental occurrence situation. Second, according to the contents of training based on the classification category of martial arts for security guard under accidental situation, a security guard must keep safety distance necessarily lest a target person of gurad should be attacked by attacker, therefore, intercept an attack opportunity if a safety distance between a target person of guard and attacker is not kept. Third, It is to practice confrontation techniques based on the type of attack. A security guard must develp situation disposal ability that can cope properly with the attack using empty hands, murderous weapon, small arms, explosive by case or individual or mass of threat that impose danger and injury in a target person's body of guard.

• Journal of Korean Home Economics Education Association
• /
• v.13 no.1
• /
• pp.93-106
• /
• 2001

The purpose of this research is to study the performance assessment made by high school home economics teachers : their awareness and attitudes toward the assessment correlate with the qualitative output of the executions of it. as well s to determine how their awareness and attitudes toward the assesment correlate with the qualitative output of the executions of their performance assessments. The research has yielded the following results : 1. The attitudinal score shows above average of 58.7/90. By the sub-factors. awareness of the characteristics of performance assessment is 20.6/30 : the favorable attitudinal score is at 20.0/30. the behavioral attention at 9.5/15. and the effects of performance assessment on the teachers and the classes at 8.6/15. 2. In a single semester. the highest frequency of executing performance assessment is between 1 to 2 times (58.7%). and practical skill test is proven to be the most frequently used category at 79.9%. 3. The correlation between the overall attitude on performance assessment and the quality of actual performance assessment executed is high. indicating superior quality of performance assessment. which is directly proportionate to the enhanced attitude of teachers on performance assessment.

• International Journal of Knowledge Content Development & Technology
• /
• v.2 no.2
• /
• pp.17-29
• /
• 2012

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.40-42
• /
• 2013

Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

• The Journal of Society for e-Business Studies
• /
• v.8 no.3
• /
• pp.219-239
• /
• 2003

The world of business is being profoundly transformed by the Internet and electronic commerce. E-commerce is driven by Internet and e-commerce technology. That is, the new e-commerce is commonly associated with highly developed technical elements, ranging from web , graphic design. payment systems and network infrastructure. Thus, it is necessary to decide which technologies are important and how they are related to each other. To anticipate the future of each information communication technology and electronic commerce accurately , we have attempted to develop a classification model of electronic commerce technology. A classification model for EC technologies consists of three categories: basic technology, base technology, and application technology. This model can play a role as a guideline in classifying EC technologies into three hierarchical category and in comparing the relative relationships of each electronic commerce technology. It will also provide an impetus for the study of electronic commerce technologies and for the shaping process of electronic commerce generally.