• Journal of Food Hygiene and Safety
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• v.27 no.2
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• pp.194-201
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• 2012

Facing a number of global food-related accidents, the concept and system for food traceability have been designed and introduced in many countries to manage the food-safety risks. To connect and harmonize the various food traceability-information in food traceability system according to the food supply chain, the coding system of identification-number for food-traceability has to be standardized. The GTIN (Global Trade Item Number) barcode system which has been globally standardized and implemented, is reviewed with the mandatory food-labeling regulation in expiration date of processed foods. The integration of GTIN-13 bar-code system for food-traceability is a crucial factor to expand its function in the food-related industrial areas. In this literature, the standard coding system of identification-number for food-traceability is proposed with 20 digit coding number which is combined with GTIN-13 bar-code (13 digit), expiration date (6 digit), and additional classification code (1 digit). This proposed standard coding system for identification-number has a several advantages in application for prohibiting the sale of hazard goods, food-recall, and inquiring food traceability-information. And also, this proposed coding system could enhance the food traceability system by communicating and harmonizing the information with the national network such as UNI-PASS and electronic Tax-invoice system. For the global application, the identification-number for food-traceability needs to be cooperated with the upcoming global standards such as GTIN-128 bar-code and GS1 DataBar.

• Korean Journal of Cognitive Science
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• v.28 no.3
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• pp.149-171
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• 2017

In this research, based on the fact that spatial ability is important for the achievement in the STEM fields, and technological innovation, Purdue Spatial Visualization Test-Rotation has been used to investigate engineering freshmen's spatial ability and gender differences. Students who have taken advanced mathematics courses in high school(those who have taken type B math test in Korean SAT test) and students with general math courses(those who have taken type A in Korean SAT-Math test) are included in this study to find out the relationship between mathematics achievement and spatial ability. Finding out the strategies taken by students was another aim of this study. This strategic differences between high achievers and lower achievers, male and female students were analyzed from students' self report. Spatial ability test score was highest in the SAT-Math type B male students, decreased in the order of type A male students, type B female students, and lastly type A female students. There was no substantial difference between second and third groups. In each group, male students' average score was 8~10% higher than female students, which affirms 2015's results. The correlation between spatial ability and mathematics achievement was negligible in each group, but male students' math score and spatial ability score were higher than that of female students. This can be interpreted that there is some correlation between these two. Strategic choices can vary in the continuous spectrum with analytic method and holistic method at both ends. From students' self report, using Mann-Witney test, it turned out that there exists strategic differences between male and female students. Male students have a tendency to use holistic strategy more often than female students. I also found that the strategy choice did not vary greatly among all score groups. For the perfect score groups, both female and male students used holistic strategy most frequently. For low achieving groups, there is an evidence that these students overuse one method compared to average or high achieving groups, which turned out to be less effective. Based on these, I suggest that low achieving students need to have more chances to adopt efficient strategies and to practice challenging problems to improve their spatial abilities.

• The Journal of the Korean life insurance medical association
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• v.22
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• pp.139-169
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• 2003

국내 보험 산업은 경제발전에 따라 많은 성장을 이루어왔으나 단체보험은 보험 회사의 외부적 또는 내부적 환경으로 인해 활성화가 미흡한 상황이다. 개인보험시장의 포화, 해외시장에서 단체보험의 지속적인 성장, 사회보험 민영화 논의, 방카슈랑스와 보험시장의 개방 등 급격한 변화를 겪고 있는 보험영업환경을 고려한다면 향후 확대될 기업복지시장에서의 성공적 역할수행을 위해서는 단체보험 영업과 지원시스템의 보완이 시급한 과제라고 할 수 있다. 특히 언더라이팅 기법은 단체보험의 핵심역량이며 회사의 경쟁력 강화와 사차익 안정화를 위해서는 단체보험 인수기법의 선진화가 필수요건이다. 단체보험은 대수의 법칙, 수지상등의 원칙 등 보험의 기본원리라는 측면에서는 개인보험과 다른 점이 없지만 하나의 계약을 통해 집단의 피보험자에게 보장을 제공하기 때문에 가지게 되는 역선택 축소, 비용절감, 기업에 의한 1차선택 등 몇 가지 특성들은 인수기법에서의 차이를 필요로 한다. 하지만 국내의 단체보험 언더라이팅은 기본개념조차 제대로 정립되어 있지 못한 초기단계로 단체보험의 특성을 제대로 반영할 수 있는 위험평가를 위해서는 선진기법의 도입이 절실하다. 첫째, 자유보장한도(FREE COVER LIMIT)의 도입이다. 자유보장한도는 단체에 대한 위험과 피보험자 개인의 위험을 구분하는 기준으로 자유보장한도내의 피보험자에 대해서는 고지나 의적 검사를 요구하지 않고 개인별 언더라이팅을 하지 않으며 거절체나 표준하체이더라도 자유보장한도 금액까지는 나머지 정상 피보험자들과 동일한 보장을 제공하는 것을 말한다. 이는 피보험자별 위험을 중심으로 심사하고 있는 현재의 국내 단체보험 인수방법에서 발생되는 고객측 불만과 심사의 비효율성을 개선할 수 있는 방안이다. 둘째, 단체별 특성에 따른 보험요율 차등화이다 단체는 산업의 종류, 피보험자의 직무, 지역적 위치, 크기(피보험자수), 성별구성비 등 여러 가지 특성들을 가지고 있으며 이런 특성들은 보장급부에 따라 발생위험에 영향을 미칠 수 있다. 하지만 현재 나이와 성별에 따라서 피보험자별로 정해지는 요율체계만으로는 이런 위험들을 적절하게 반영하지 못하고 단체별 형평성에도 문제가 생긴다. 따라서 정확한 data 구축을 통해 단체 특성별로 어떤 보장에 어느 정도로 위험 발생에 영향을 미치는지를 분석하여 보험요율을 차등부과 할 수 있는 체계를 갖추어야 한다. 셋째, 경험을 활용한 보험료 산정기법이다. 이것은 개인보험과 구분되는 가장 큰 단체보험만의 특성이라 할 수 있는데 해당 단체의 과거 경험 data 즉 청구로 인한 지급금액을 토대로 당해 계약 보험료를 결정하는 방법이다. 이를 위해서는 과거 경험 data가 얼마나 신뢰할 수 있는 지의 정도(신뢰도)를 측정하는 것이 필요하다. 과학적이고 효율적인 단체보험 인수를 위해서 경험율의 활용은 반드시 이루어져야 할 선결과제이다. 넷째, 관련규정의 정비가 필요하다 단체보험의 특성을 갖기 위해서는 가입가능한 피보험자들의 자격규정(eligibility), 활동적근무 조건(actively at work)이 요구되어야 하며 참여비율(가입비율)과 보장수준의 구성방법에 대해서도 가이드라인 설정을 통해 역선택을 최소화 할 수 있는 제도적 보완이 마련되어야 한다. 이런 선진인수기법의 도입과 함께 단체보험 언더라이터의 필요역량을 개발하고 향상시키는 노력도 병행되어야만 종합금융화, 대형화가 진전되면서 대경쟁의 구도로 바뀌고 있는 국내 보험시장에서의 경쟁력 확보가 가능할 것이다.

• Clinical and Experimental Pediatrics
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• v.46 no.3
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• pp.277-283
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• 2003

Purpose : Craniopharyngiomas are often accompanied by severe endocrine disorders. Although there is universal growth hormone deficiency(GHD), the resulting growth pattern is very heterogeneous. We report the growth and endocrine outcome of 44 children with craniopharyngioma, with emphasis on initial symptoms, growth before and during growth hormone(GH) treatment and spontaneous growth in spite of GHD. Methods : We performed a retrospective study of 44 children treated at our centre between 1984 and 2002. Results : About 30% of patients had symptoms suggesting endocrine disorder at diagnosis. After surgery, multiple endocrinopathies were almost universal. Before GH therapy, height velocity was $8.00{\pm}2.71cm/yr$ in the normal growth group(n=11) and $1.79{\pm}1.10cm/yr$ in the subnormal growth group(n=7) during the first year and during the second year, $6.76{\pm}2.49cm/yr$ and $2.29{\pm}1.33cm/yr$, respectively. There was no difference of body mass index(BMI) change between before and after surgery in the two groups. Height standard deviation score(SDS) was $-1.46{\pm}0.74$ in the normal growth group and $-0.43{\pm}0.97$ in the subnormal growth group. Before GH treatment height SDS was $-1.31{\pm}1.25$ and BMI was $20.46{\pm}3.60$. During GH treatment, height SDS increased to $-0.60{\pm}1.37$ in the first, and to $-0.41{\pm}1.54$ in the second year(P<0.05), but BMI did not change significantly. Conclusion : The endocrine morbidity could develop in most children with craniopharyngioma before and after the operation and should be managed properly. Although all treated patients benefit from GH therapy, further studies are necessary to find out the possible mechanism of growth regulation in normally growing children, despite GH deficient.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.262-268
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• 2017

The energy consumption of buildings is approximately 20.5% of the total energy consumption, and the interest in energy efficiency and low consumption of the building is increasing. Several studies have performed energy analysis and evaluation. Energy analysis and evaluation are effective when applied in the initial design phase. In the initial design phase, however, the energy performance is evaluated using general level information, such as glazing area and surface area. Therefore, the evaluation results of the detailed design stage, which is based on the drawings, including detailed information of the materials and facilities, will be different. Thus far, most studies have reported the analysis and evaluation at the detailed design stage, where detailed information about the materials installed in the building becomes clear. Therefore, it is possible to improve the accuracy of the energy environment analysis if the energy environment information generated during the life cycle of the building can be established and accurate information can be provided in the analysis at the initial design stage using a probability / statistical method. On the other hand, historical data on energy use has not been established in Korea. Therefore, this study performed energy environment analysis to construct the energy environment historical data. As a result of the research, information classification system, information model, and service model for acquiring and providing energy environment information that can be used for building lifecycle information of buildings are presented and used as the basic data. The results can be utilized in the historical data management system so that the reliability of analysis can be improved by supplementing the input information at the initial design stage. If the historical data is stacked, it can be used as learning data in methods, such as probability / statistics or artificial intelligence for energy environment analysis in the initial design stage.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.43-57
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• 2012

To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.

• Geophysics and Geophysical Exploration
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• v.16 no.4
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• pp.240-249
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• 2013

The seismic data quality of marine geological and engineering survey deteriorates because of the sea swell. We often conduct a marine survey when the swell height is about 1 ~ 2 m. The swell effect correction is required to enhance the horizontal continuity of seismic data and satisfy the resolution less than 1 m. We applied the swell correction to the 8 channel high-resolution airgun seismic data and 3.5 kHz subbottom profiler (SBP) data. The correct sea bottom detection is important for the swell correction. To detect the sea bottom, we used maximum amplitude of seismic signal around the expected sea bottom, and picked the first increasing point larger than threshold value related with the maximum amplitude. To find sea bottom easily in the case of the low quality data, we transformed the input data to envelope data or the cross-correlated data using the sea bottom wavelet. We averaged the picked sea bottom depths and calculated the correction values. The maximum correction of the airgun data was about 0.8 m and the maximum correction of two kinds of 3.5 kHz SBP data was 0.5 m and 2.0 m respectively. We enhanced the continuity of the subsurface layer and produced the high quality seismic section using the proper methods of swell correction.

• Journal of Environmental Science International
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• v.16 no.4
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• pp.523-532
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• 2007

This study utilized the 1/25,000 topographic map of the upper area from the Geum-ho watermark located at the middle of Geum-ho river from the National Geographic Information Institute. For the analysis, first, the influence of the size of critical area to the hydro topographic factors was examined changing grid size to $10m{\times}10m,\;30m{\times}30m\;and\;50m{\times}50m$, and the critical area for the formation of a river to $0.01km^2{\sim}0.50km^2$. It is known from the examination result of watershed morphology according to the grid size that the smaller grid size, the better resolution and accuracy. And it is found, from the analysis result of the degree of the river according to the minimum critical area for each grid size, that the grid size does not affect on the degree of the river, and the number of rivers with 2nd and higher degree does not show remarkable difference while there is big difference in the number of 1st degree rivers. From the results above, it is thought that the critical area of $0.15km^2{\sim}0.20km^2$ is appropriate for formation of a river being irrelevant to the grid size in extraction of hydro topographic parameters that are used in the runoff analysis model using topographic maps. Therefore, the GIUH model applied analysis results by use of the river level difference law proposed in this study for the explanation on the outflow response-changing characters according to the decision of a critical value of a minimum level difference river, showed that, since an ogival occurrence time and an ogival flow volume are very significant in a flood occurrence in case of not undertow facilities, the researcher could obtain a good result for the forecast of river outflow when considering a convenient application of the model and an easy acquisition of data, so it's judged that this model is proper as an algorism for the decision of a critical value of a river basin.

• Tuberculosis and Respiratory Diseases
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• v.47 no.2
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• pp.195-208
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• 1999

Background: Pulmonary infiltrate in immunocompromised hosts has many infectious and non-infectios etiologies. To evaluate the diagnostic yield and therapeutic implication of two invasive diagnostic methods, such as bronchoscopy and surgical lung biopsy, we performed retrospective analysis of these patients. Methods: All immunocompromised patients admitted to Samsung Medical Center from October 1995 to August 1998 who underwent bronchoscopy and/or surgical lung biopsy for the diagnosis of pulmonary infiltrates were included in this study. Confirmative diagnostic yield, the rate of changed therapeutic plan and patients' survival were investigated. Results: Seventy-five episodes of pulmonary infiltrates developed in 70 patients(M : F=46 : 24, median age 51). Underlying diseases of patients were hematologic malignancy(n=30), organ transplantation(n=11), solid tumor(n= 12), connective tissue disease(n=6) and others. Confirmative diagnosis was made in total 53 cases (70.7%), of which 70.2% had infectious etiology. Diagnostic yields of bronchoscopy, bronchoalveolar lavage(BAL), transbronchiallung biopsy(TBLB) and surgical lung biopsy were 35.0%(21/60), 31.4%(16/51), 25.0%(9/36) and 80.0%(20/25). Therapeutic plan was changed in 40%(24/60) of patients after bronchoscopy and in 36%(9/25) of patients after surgical lung biopsy. More patients survived (84.4% vs 60.5%, p=0.024) when therapeutic plan was changed after invasive diagnostic study. Conclusion: Bronchoscopy and surgical lung biopsy are helpful for the therapeutic implication of pulmonary infiltrates in immunocompromised hosts. Large-scale prospective case-control study may further clarify their limitation and usefulness.

• Journal of the Korea Concrete Institute
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• v.16 no.1 s.79
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• pp.43-53
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• 2004

The current Korean Concrete Design Code(KCI Code) requires the minimum and maximum content of shear s in order to prevent brittle and noneconomic design. However, the required content of the steel reinforcement In KCI Code is quite different to those of the other design codes such as fib-code, Canadian Code, and Japanese Code. Furthermore, since the evaluation equations of the minimum and maximum shear reinforcement for the current KCI Code were based on the experimental results, the equations can not be used for the RC members beyond the experimental application limits. The concrete tensile strength, shear stress, crack inclination, strain perpendicular to the crack, and shear span ratio are strongly related to the lower and upper limits of shear reinforcement. In this research, an evaluation equation for the minimum content of shear reinforcement is theoretical proposed from the Wavier's three principals of the mechanics of materials.