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A Comparative Study on the Improvement of Curriculum in the Junior College for the Industrial Design Major (2년제 대학 산업디자인전공의 교육과정 개선방안에 관한 비교연구)

  • 강사임
    • Archives of design research
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    • v.13 no.1
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    • pp.209-218
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    • 2000
  • The purpose of this study was to improve the curriculum for industrial design department in the junior colleges. In order to achieve the purpose, two methodologies were carried out. First is job analysis of the industrial designers who have worked in the small & medium manufacturing companies, second is survey for the opinions of professors in the junior colleges. Some results were as follows: 1. The period of junior college for industrial designers is 2 years according to present. But selectively 1 year of advanced course can be established. 2. The practice subjects same as computational formative techniques needed to product development have to be increased. In addition kinds of selection subjects same as foreign language, manufacturing process, new product information and consumer behavior investigation have to be extended. 3. The next subjects need to adjust the title, contents and hours. (1) The need of 3.D related subjects same as computer modeling, computer rendering, 3.D modeling was high. The use of computer is required to design presentation subjects. (2)The need of advertising and sale related subjects same as printing, merchandise, package, typography, photography was low, the need of presentation techniques of new product development was high. (3) The need of field practice, special lecture on practice and reading original texts related subjects was same as at present, but these are not attached importance to form. As the designers feel keenly the necessity of using foreign language, the need of language subject was high.

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Effect of Pitamin as an Antibiotics Replacement for Organic livestock Feed Additives in Broiler Chickens (유기사료원료로서 소나무껍질 추출물 피타민의 브로일러에 대한 항생제 대체효과)

  • Kim, Byong-Wan;Oh, Jin-Seok;Han, Ohan-Taek;Park, Sang-Oh;Park, Byung-Sung
    • Korean Journal of Organic Agriculture
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    • v.17 no.1
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    • pp.111-125
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    • 2009
  • Pitamin is a component of pine bark extract that exhibits antimicrobial activity and a variety of physiological effects. This study was earned out to investigate the effects of dietary pitamin as an organic livestock feed additive in broiler chickens. A 35 day trial was conducted to determine the influence of dietary premix containing 5% pitamin; investigated parameters included blood lipids, growth performance, quality characteristics of carcasses, and changes of caecal microbials in broiler chickens. Chickens were randomly divided into groups that were untreated (control), treated conventionally with antibiotics in the absence of premix, received 0.1 % or 0.2% premix containing 5% pitamin. Plasma lipids were lower in groups fed diets with pitamin premix (p<0.05). The body weight gain from broiler chickens fed with the diet containing 0.1% pitamin premix and antibiotics was similar, and was significantly higher than that of the other groups (p<0.05). The weight of breast muscle and thigh meat of carcasses was similar, and was higher than that of the control group (p<0.05). Abdominal fat and thymus index from chickens receiving either pitamin-supplemented premix was significantly lower and increased, respectively, that of the antibiotic and control groups (both p<0.05). The chickens on the pitamin premix-supplemented diets evidenced significantly higher caecal levels of Bifidobacterium species as compared with the chickens on the control diet (p<0.05). These results suggest that feeding a diet supplemented with a 0.1% premix containing 5.0% pitamin for 35 days maintains the production of broiler chickens at a level comparable to that obtained from the use of antibiotics.

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Extraction of Landmarks Using Building Attribute Data for Pedestrian Navigation Service (보행자 내비게이션 서비스를 위한 건물 속성정보를 이용한 랜드마크 추출)

  • Kim, Jinhyeong;Kim, Jiyoung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.1
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    • pp.203-215
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    • 2017
  • Recently, interest in Pedestrian Navigation Service (PNS) is being increased due to the diffusion of smart phone and the improvement of location determination technology and it is efficient to use landmarks in route guidance for pedestrians due to the characteristics of pedestrians' movement and success rate of path finding. Accordingly, researches on extracting landmarks have been progressed. However, preceding researches have a limit that they only considered the difference between buildings and did not consider visual attention of maps in display of PNS. This study improves this problem by defining building attributes as local variable and global variable. Local variables reflect the saliency of buildings by representing the difference between buildings and global variables reflects the visual attention by representing the inherent characteristics of buildings. Also, this study considers the connectivity of network and solves the overlapping problem of landmark candidate groups by network voronoi diagram. To extract landmarks, we defined building attribute data based on preceding researches. Next, we selected a choice point for pedestrians in pedestrian network data, and determined landmark candidate groups at each choice point. Building attribute data were calculated in the extracted landmark candidate groups and finally landmarks were extracted by principal component analysis. We applied the proposed method to a part of Gwanak-gu, Seoul and this study evaluated the extracted landmarks by making a comparison with labels and landmarks used by portal sites such as the NAVER and the DAUM. In conclusion, 132 landmarks (60.3%) among 219 landmarks of the NAVER and the DAUM were extracted by the proposed method and we confirmed that 228 landmarks which there are not labels or landmarks in the NAVER and the DAUM were helpful to determine a change of direction in path finding of local level.

Bankruptcy Prediction Modeling Using Qualitative Information Based on Big Data Analytics (빅데이터 기반의 정성 정보를 활용한 부도 예측 모형 구축)

  • Jo, Nam-ok;Shin, Kyung-shik
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.33-56
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    • 2016
  • Many researchers have focused on developing bankruptcy prediction models using modeling techniques, such as statistical methods including multiple discriminant analysis (MDA) and logit analysis or artificial intelligence techniques containing artificial neural networks (ANN), decision trees, and support vector machines (SVM), to secure enhanced performance. Most of the bankruptcy prediction models in academic studies have used financial ratios as main input variables. The bankruptcy of firms is associated with firm's financial states and the external economic situation. However, the inclusion of qualitative information, such as the economic atmosphere, has not been actively discussed despite the fact that exploiting only financial ratios has some drawbacks. Accounting information, such as financial ratios, is based on past data, and it is usually determined one year before bankruptcy. Thus, a time lag exists between the point of closing financial statements and the point of credit evaluation. In addition, financial ratios do not contain environmental factors, such as external economic situations. Therefore, using only financial ratios may be insufficient in constructing a bankruptcy prediction model, because they essentially reflect past corporate internal accounting information while neglecting recent information. Thus, qualitative information must be added to the conventional bankruptcy prediction model to supplement accounting information. Due to the lack of an analytic mechanism for obtaining and processing qualitative information from various information sources, previous studies have only used qualitative information. However, recently, big data analytics, such as text mining techniques, have been drawing much attention in academia and industry, with an increasing amount of unstructured text data available on the web. A few previous studies have sought to adopt big data analytics in business prediction modeling. Nevertheless, the use of qualitative information on the web for business prediction modeling is still deemed to be in the primary stage, restricted to limited applications, such as stock prediction and movie revenue prediction applications. Thus, it is necessary to apply big data analytics techniques, such as text mining, to various business prediction problems, including credit risk evaluation. Analytic methods are required for processing qualitative information represented in unstructured text form due to the complexity of managing and processing unstructured text data. This study proposes a bankruptcy prediction model for Korean small- and medium-sized construction firms using both quantitative information, such as financial ratios, and qualitative information acquired from economic news articles. The performance of the proposed method depends on how well information types are transformed from qualitative into quantitative information that is suitable for incorporating into the bankruptcy prediction model. We employ big data analytics techniques, especially text mining, as a mechanism for processing qualitative information. The sentiment index is provided at the industry level by extracting from a large amount of text data to quantify the external economic atmosphere represented in the media. The proposed method involves keyword-based sentiment analysis using a domain-specific sentiment lexicon to extract sentiment from economic news articles. The generated sentiment lexicon is designed to represent sentiment for the construction business by considering the relationship between the occurring term and the actual situation with respect to the economic condition of the industry rather than the inherent semantics of the term. The experimental results proved that incorporating qualitative information based on big data analytics into the traditional bankruptcy prediction model based on accounting information is effective for enhancing the predictive performance. The sentiment variable extracted from economic news articles had an impact on corporate bankruptcy. In particular, a negative sentiment variable improved the accuracy of corporate bankruptcy prediction because the corporate bankruptcy of construction firms is sensitive to poor economic conditions. The bankruptcy prediction model using qualitative information based on big data analytics contributes to the field, in that it reflects not only relatively recent information but also environmental factors, such as external economic conditions.

A Study on Survey of Non Face to Face Realtime Education Focused on Firefighter in COVID-19 (코로나19 상황에서 소방공무원의 비대면 실시간 교육에 관한 의식조사연구)

  • Park, Jin Chan;Baek, Min Ho
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.722-732
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    • 2021
  • Purpose: Due to the coronavirus infection-19 (COVID) pendemics, all educational institutions were required to provide full non-face-to-face real-time education, and fire officials were required to provide fire-fighting education by applying non-face-to-face education. In this difficult situation, the National Fire Service Academy tries to find the direction of the non-face-to-face real-time education and suggest ways to improve it through a survey of the status of non-face-to-face real-time education conducted by the NFSA to fire officials. Method: A survey was conducted on fire officials under the theme of "Consciousness Survey for Improving the Quality and Specialization of Non-face-to-face Real-Time Remote Education" and an in-depth analysis was conducted based on the results. Result & Conclusion: First, professors or educational operators shall actively utilize remote education programs suitable for educational characteristics by utilizing various programs. Second, a dedicated notebook for non-face-to-face training should be provided to provide an educational environment where all learners can participate in the training without difficulty. Third, in the case of education and training that requires the use of equipment due to the nature of fire officials' education and training, it is necessary to consider it as a non-face-to-face training place by arranging educational equipment at each fire station. Fourth, it is hard to expect a satisfactory educational effect to cope with practical education with theoretical education. Therefore, facilities and programs that enable non-face-to-face real-time hands-on training should be developed. It is worth considering the proper combination of face-to-face education while maintaining the social distance as much as possible until such non-face-to-face training is possible. Fifth, non-face-to-face education is considered to have high eye fatigue due to the light and electromagnetic waves of the computer screen, and as time goes by, the concentration level decreases. Therefore, it is necessary to form an education time to reduce the eye fatigue of learners and increase concentration through proper class and rest time. Finally, professors should operate a learner participation-oriented education that allows professors and learners to interact rather than one-sided knowledge transfer education. In addition, technical problems of non-face-to-face remote education should be thoroughly prepared through preliminary system checks to ensure that education is not disrupted.

Analysis of the Characteristics of Container Ports in Busan Port Using Industrial Organization Approach (산업조직론을 활용한 부산항 컨테이너 하역산업의 특성 분석)

  • Ko, Byoung-Wook;Kil, Kwang-Soo;Lee, Da-Ye
    • Journal of Korea Port Economic Association
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    • v.37 no.3
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    • pp.117-128
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    • 2021
  • In order for the users (shipping firms and shippers) and suppliers (stevedoring firms) in the container terminal industry to win-win, it is necessary to have some appropriate diverse market conditions for the industry. This study analyses the basic conditions and demand and supply characteristics of the industry and investigates the market performance of Busan container ports. First, this article analyses the basic characteristics of demand and supply. As the demand characteristics, there are five ones such as 1) exogeneity of demand, 2) function as export/import transportation and hub for transshipment, 3) increase of users' bargaining power, 4) high substituting elasticity, 5) reduction of volume growth. As the supply characteristics, there are seven ones such as 1) inelasticity of supply, 2) homogeneity of stevedoring services, 3) over-supply, 4) adoption of cutting-edge stevedoring technology, 5) scale economy and impossibility of storage, 6) labor market rigidity, 7) enhancing port's role in SCM. In addition, this study conducts the so-called structure-conduct-performance analysis. For the structure analysis, 1) lacks of scale economy in stevedoring companies, 2) high entry barrier, 3) strengthening of shipping firms' bargaining power, 4) transitory permission scheme for tariff are analyzed. For the conduct analysis, 1) price discrimination between export/import and transshipment, 2) mid-term length of terminal use contract, 3) continuous investment in equipment, 4) low level of cooperation among terminal operating firms are derived. For the performance analysis, 1) inequality in profitability, 2) reduction of export/import cost, 3) delay in adopting cutting-edge technology, 4) idle equipment are analyzed. Following this logical flow, the hypothesis that the market structure influences the market conduct is tested based on the actual dataset. As a future agenda in the conclusion, this article recommends the so-called port industrial policy.

The Family Caregivers' Stress Pathways by Types of Long Term Care Services for the Elderly (장기요양보호서비스 유형별 가족 부양스트레스 경로)

  • Park, Chang-Je;Lee, Sung-Jin
    • 한국노년학
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    • v.31 no.3
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    • pp.831-848
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    • 2011
  • The purpose of this study is to analyse the family caregivers' stress pathways by types of long term care services for the elderly, and then to discuss the findings of analysis. For this research, primary caregivers that provide care the elderly requiring long term care services sanctioned by National Health Insurance Corporation were drawn and surveyed. Among collected data, data for 258 primary caregivers by type of long term care services were used for this study. The results of this study can be summarized as follows. First, on average, the elders that utilize care service in institutions for the elderly were higher proportion of women, older, higher rate of bereavement, more children than the elders that utilize in-home care service, but some cases were vice-versa. Second, the elders that utilize care service in institutions more ADL dependency, higher proportion of severe dementia or severe stroke, higher care rank by National Health Insurance Corporation than the elders that utilize in-home care service on average. Third, primary caregivers with elders that utilize in-home care service were higher proportion of women, older, lower education level, higher rate of spouse and daughter-in-law in relationship with care recipient, less health, lower income than primary caregivers with elders that utilize care service in institutions. Fourth, subjective indicators representing caregivers' reactions to caregiving for the elderly significantly impact on caregivers' stress(ie, depression), and pathway of caregivers' stress are differentiated by type of long term care services. Fifth, stressors that have direct impacts on depression as caregiving family are differentiated by type of long term care services. Therefore, policies or programs to reduce negative mental health or stress of caregivig families should be designed differently by reflecting pathway of various stressors and stress by use types of long term care services for the elderly.

Productivity and Nitrogen Response of Paddy Soils (답(畓) 유형별(類型別) 생산력(生產力)과 질소반응(窒素反應))

  • Ryu, In-Soo;Lee, Sung-Tack;Park, Chon-Suh;Shin, Yong-Hwa
    • Korean Journal of Soil Science and Fertilizer
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    • v.10 no.1
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    • pp.39-48
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    • 1977
  • The results of the determination of the optimum level of nitrogen fertilizer experiment for rice paddy at 21 locations over the country in 1975 year are as follows. 1. The yields of control and N-fertilized plots of ordinary variety (Japonica type) were normal paddy soil>sandy paddy soil>poorly drained paddy soil. Control plots of Tongil variety, (Indica type) however, were sandy poorly drained soil>sandy normal paddy soil=clay poorly drained soil, and N-fertilized plots were normal paddy soil>sandy poorly drained soil>sandy soil>clay poorly drained soil. In other words Tongil variety has higher adaptability to sandy soil under no nitrogen. 2. The yield response to N-fertilizer was higher in normal paddy soil than sandy soil. The productivity per 1kg of nitrogen was 16.6kg in normal paddy soil, 10.5 in sandy soil, and 8.6-11.4 in poorly drained soil for Tongil variety. For ordinary variety, they were 12.6, 6.3, 6.6-9.3kg respectively. 3. Ripening ratio for ordinary variety and ripening ratio and grain weight for Togil variety were higher in sandy soil than normal paddy soil. The main reason why the N-response in mormal paddy soil is higher was appeared to be higher number of effective tillers in normal paddy soil. 4. The optimum rates of N-fertilizer in average were 19.4 in normal paddy soil, 14.6 in sandy soil, and 11.6-13.4kg/10a in poorly drained soil for Tongil variety. For ordinary variety they were 15.9, 10.2, and 8.7-12.7kg/10a respectively. 5. The optimum rate of nitrogen was increased with the increase of productivity in normal paddy soils. In sandy soils and poorly drained soils it was not proved. 6. The optimum rates of N-fertilizer calculated from field experiment were somewhat different from the optimum rates calculated from $SiO_2/OM$ ratio. However, the values calculated both ways showed high correlation. It would be recommendable, therefore, to use $SiO_2/OM$ ratio to calculate the optimum rates of N-fertilizer after revising this equation considering different rice varieties and soil types or water management and climate.

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Anticarcinogenic Effects of Sargassum fulvellum Fractions on Several Human Cancer Cell Lines in vitro (모자반 분획물의 in vitro에서의 항발암효과)

  • 배송자
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.33 no.3
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    • pp.480-486
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    • 2004
  • Despite many therapeutic advances in the understanding of the processes in carcinogenesis, overall mortality statistics are unlikely to change until there is reorientation of the concepts for the use of natural products as new anticarcinogenic agents. In this study, we investigated the anticarcinogenic activity, antioxidant and DPPH scavenging activity of Sargassum fulvellum (SF). SF was extracted with methanol, which was further fractionated into five different types: hexane (SFMH), ethylether (SFMEE), ethyl acetate (SFMEA), butanol (SFMB) and aqueous (SFMA) partition layers. We determined the cytotoxic effect of these layers on human cancer cells by MTT assay. Among various partition layers of SF, at starting concentration of 100 $\mu\textrm{g}$/mL, SFMEE showed very high cytotoxicity which were 92, 90 and 84% and kept high throughout 5 concentration levels sparsed by 100 $\mu\textrm{g}$/mL against all three human cancer cell lines: HepG2, HT-29 and HeLa. SFMEA showed a low cytotoxicity at the beginning concentration level, but as the concentration became denser, growth inhibition effect of cancer cell lines started to increase and at 500 $\mu\textrm{g}$/mL, it hit the highest, which were 91, 96 and 98% against the same three cell lines as above. We observed QR induced effect in all fraction layers of SF. SFMEE showed similar tendensy of QR induced effect as did against cytotoxicity. The QR induced effect of SFMEE on HepG2 cells at 25 $\mu\textrm{g}$/mL concentration indicated 3 times higher than the control value of 1.0 and SFMH tended to be concentration-dependent on HepG2 cells. At 100 $\mu\textrm{g}$/mL, the QR induced effects resulted a ratio, which was 2.5 times higher than the control value. In search for antioxidation effects of SF extract and partition layer, the reducing activity on the 1, 1-diphenyl-2-picryl hydrazyl (DPPH) radical scavenging potential was sequentially screened. The SFM has similar antioxidant activity as to BHT and vitamin C groups.

Design Information Management System Core Development Using Industry Foundation Classes (IFC를 이용한 설계정보관리시스템 핵심부 구축)

  • Lee Keun-hyung;Chin Sang-yoon;Kim Jae-jun
    • Korean Journal of Construction Engineering and Management
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    • v.1 no.2 s.2
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    • pp.98-107
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    • 2000
  • Increased use of computers in AEC (Architecture, Engineering and Construction) has expanded the amount of information gained from CAD (Computer Aided Design), PMIS (Project Management Information System), Structural Analysis Program, and Scheduling Program as well as making it more complex. And the productivity of AEC industry is largely dependent on well management and efficient reuse of this information. Accordingly, such trend incited much research and development on ITC (Information Technology in Construction) and CIC (Computer Integrated Construction) to be conducted. In exemplifying such effort, many researchers studied and researched on IFC (Industry Foundation Classes) since its development by IAI (International Alliance for Interoperability) for the product based information sharing. However, in spite of some valuable outputs, these researches are yet in the preliminary stage and deal mainly with conceptual ideas and trial implementations. Research on unveiling the process of the IFC application development, the core of the Design Information management system, and its applicable plan still need be done. Thus, the purpose of this paper is to determine the technologies needed for Design Information management system using IFC, and to present the key roles and the process of the IFC application development and its applicable plan. This system play a role to integrate the architectural information and the structural information into the product model and to group many each product items with various levels and aspects. To make the process model, we defined two activities, 'Product Modeling', 'Application Development', at the initial level. Then we decomposed the Application Development activity into five activities, 'IFC Schema Compile', 'Class Compile', 'Make Project Database Schema', 'Development of Product Frameworker', 'Make Project Database'. These activities are carried out by C++ Compiler, CAD, ObjectStore, ST-Developer, and ST-ObjectStore. Finally, we proposed the applicable process with six stages, '3D Modeling', 'Creation of Product Information', 'Creation and Update of Database', 'Reformation of Model's Structure with Multiple Hierarchies', 'Integration of Drawings and Specifications', and 'Creation of Quantity Information'. The IFCs, including the other classes which are going to be updated and developed newly on the construction, civil/structure, and facility management, will be used by the experts through the internet distribution technologies including CORBA and DCOM.

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