Ensuring the quality of molds is one of the major issues in mass production. In general, securing the quality of the molds is achieved by repeating grinding and die spotting after machining the molds based on engineer’s decision. However, this heuristic method is affected by the engineer’s skill and working environment. Therefore, a lot of time and resources are needed in order to ensure quality. In this study, ensuring the quality of molds using grinding map which is generated using automatic measurement is proposed. An automatic measuring system based on CMM (Coordinate Measuring Machine) is developed for measuring the molds. This system generates the measurement path automatically using the 3D CAD model of products. CAD (Computer- Aided-Design), CAM (Computer-Aided-Manufacturing), and CAQ (Computer-Aided-Quality) technology is integrated using DMIS (Dimensional Measuring Interface Standard) format in the automatic measuring system. After measuring the molds, a grinding map is generated using the gap between the CAD model and measured values of mold. The grinding map displays the machining tendency and the required amount of grinding with values on a 3D map. Therefore, the quality of molds can be ensured with exactness and quickness based on the grinding map. This study shows that integrating the planning, measuring, and analyzing based on computer technology can solve the problem of quality assurance of mold using the proposed method, therefore the productivity can be increased.

The setting of values on door hinge mounting compensation for door assembly tolerance is a constant quality issue in vehicle production. Generally, heuristic methods are used in satisfying appropriate door gap and level difference, flushness to improve quality. However, these methods are influenced by the engineer's skills and working environment and result an increasement of development costs. In order to solve these problems, the system which suggests hinge mounting compensation value using CAE (Computer Aided Engineering) analysis is proposed in this study. A structural analysis model was constructed to predict the door gap and level difference, flushness through CAE based on CAD (Computer Aided Design) data. The deformations of 6-degrees of freedom which can occur in real vehicle doors was considered using a stiffness model which utilize an analysis model. The analysis model was verified using 3D scanning of real vehicle door hinge deformation. Then, system model which applying the structural analysis model suggested the final adjustment amount of the hinge mounting to obtain the target door gap and the level difference by inputting the measured value. The proposed system was validated using the simulation and showed a reliability in vehicle hinge mounting compensation process. This study suggests the possibility of using the CAE analysis for setting values of hinge mounting compensation in actual vehicle production.

At the Bank of Korea, capital stock statistics were created by the PIM (perpetual inventory method) with fixed capital formation data. Asset classifications also included 2 categories in residential buildings, 4 non-residential buildings, 14 constructions, 9 transportation equipment, 28 machinery, and 2 intangible fixed assets. It is the Korean government accounting system which is developed much with the field of the national accounts including the valuation, but until 2008 it was consistent with single-entry bookkeeping. Many countries, including Korea, were single-entry bookkeeping, not double-entry bookkeeping which can be aggregated by government accounting standard account. There was no distinction in journaling between revenue and capital expenditure when it was consistent with single-entry bookkeeping. For example, we would like to appropriately divide the past budget accounts and the settlement accounts data that have been spent on dredging into capital expenditure and revenue expenditure. It, then, tries to add the capital expenditure calculated to FCF (fixed capital formation), because revenue expenditure is cost for maintenance etc. This could be a new direction, especially, in the estimation of capital stock by the perpetual inventory method for infrastructure (SOC, social overhead capital). It should also be noted that there are differences not only between capital and income expenditure but also by other factors. How long will this difference be covered by the difference between the ‘new series’ and ‘old series’ methodologies? In addition, there is no large difference between two series by the major asset classification level. If this is treated as a round-off error, this is a problem.

Although the 1997 Raw Data of the National Wealth Statistical Survey (South Korea) is timely 20-year-old data, it is meaningful as a benchmarking in the capital stock estimations of Korea, which is estimated by PIM (permanent inventory method). In the case of machinery/equipment, it is the data that can analyze in depth the changes in the industrial structure of Korea. In the case of ASL (average service life) which has economic concept, since the change of ASL is not so large, ASL yielded by the Raw Data of the 1997 National Wealth Statistical Survey is meaningful as reference value for the ASL estimated by the Bank of Korea and the National Statistical Office. As you know Japan has changed its service life due to changes in its industrial structure. However, many of its assets are still used for the years indicated in Showa (before 1989). The same trend with other countries such as Japan. However, the United States is constantly devoted to assessing the useful ASL and value of assets by distinguishing between the Hulten-Wykoff models and those not. Korea has also benchmarked the useful ASL of the United States and Japan when it conducted its own survey every 10 years by due diligence until 1997. In this study, the ‘constraint’ Iowa curve estimation by the Raw Data of the 1997 National Wealth Statistical Survey is based on the age records of the assets and the maximum age of the assets appropriately derived. And then we made modified Iowa curve by smoothing. From this modified one, we suggested ASL by asset. After 1997, the vintage disposal data directly were collected by the National Statistical Office with Oh Hyun Seung, Cho Jin Hyung, in order to estimate the useful ASL. Since then, the B/S team of the Economic and Statistics Bureau of the Bank of Korea has been working on a new concept of content training.

This study was conducted in order to investigate and compare anthropometric measurements, bone density, nutrient intake, blood composition and food habits between non-smoking, non-alcohol drinking and smoking, alcohol drinking male university students in Seoul, South Korea. The data for food habits and health-related behaviors were obtained by selfadministered questionnaires. The BQIs of the subjects were measured by Quantitative Ultrasound (QUS). The subjects were divided into two groups: NSND (non-smoking and non-alcohol drinking, n=62) group and General (smoking and alcohol drinking, n=160) group. The results were analyzed using the SPSS program and were as follows: The average heights, weights, and BMIs of the two groups were 173.3 cm, 66.5 kg and 22.1 and 173.4 cm, 68.7 kg and 22.9, respectively. There were no differences between the groups regarding height, weight or BMI. SBP and DBP, however, were significantly higher in the general group than in the NSND group (p〈0.01). The BQIs, Z-scores and T-scores of the two groups were 99.83, -0.23, and -0.31 and 98.24, -0.27 and -0.39, respectively, producing no significant differences between the two groups. The percentages for normal bone status, osteopenia and osteoporosis were 83.88%, 16.12% and 0.0% and 74.37%, 25.62% and 0.01%, respectively. Mean intakes of animal protein (p〈0.05), animal fat (p〈0.05), fiber (p〈0.05), animal Ca(p〈0.05), animal Fe (p〈0.001), Zn(p〈0.05), vitamin B1 (p〈0.05) and niacin (p〈0.05) were significantly different between the two groups, and mean serum levels of SGOT (p〈0.01), SGPT (p〈0.001), γ-GTP (p〈0.001), triglycerides (p〈0.01), total cholesterol (p〈0.05) and hematocrit (p〈0.05) were also significantly different between the two groups. Overall, there were no differences in meal regularity, frequency of snacking, reasons for overeating, exercise and defecation between the groups. However, favorite foods (p〈0.05) and night-time meals (p〈0.05) were significantly different. In conclusion, the health status of the NSND group was superior compared to the general group. Thus, students who smoke and alcohol drink should receive a practical and systematically-organized education regarding the increased health benefits of quitting smoking and alcohol drinking.

This study was conducted to investigate bone density and food behavior of middle-aged (〈65-years-of-age) and oldaged women (≥65-years-of-age) in the Seoul area of Korea. Average height and weight, body mass index, body fat percentage, and waist-hip ration (WHR) of the middle-aged participants were 158.0 cm, 58.4 kg, 23.3, 29.7%, and 0.88. Corresponding measurements for old-aged participants were 152.6 cm, 56.3 kg, 24.1, 33.1%, and 0.93. T- and Z-scores for middle-aged women were -1.20 and -0.21, and those of old-aged women were -2.02 and -0.49. Osteopenia and osteoporosis percentage of middle- and old-aged women were 41.2% and 14.7%, and 45.2% and 37.1%, respectively. Significant differences were evident concerning between-meal, overeating, exercise, and nutritional supplementation among the two groups. Middle-aged women displayed a positive relationships between bone density and the parameters of height (p〈0.05), weight (p〈0.05), exercise (p〈0.05), consumption of soybean and soybean-processed food (p〈0.05), and negative relationships between bone density and the parameters of WHR (p〈0.001), consumption of meat and meatprocessed food (p〈0.05), and tea drinking (p〈0.05). In old-aged women group, positive relationships were evident for bone density and the parameters of height (p〈0.05), weight (p〈0.05), exercise (p〈0.05), nutritional supplementation (p〈0.05), and consumption of soybean and soybean-processed food (p〈0.05). The results reveal a link between healthy bones and desirable food behavior, indicating the importance of a practical and systematically organized food behavior education program for middle- and old-aged Korean women.

The principal objective of this study was to assess the bone density and processed food intake behavior of middle-aged and elderly women in the Seoul area. The subjects were assigned to one of the following groups on the basis of BMI: namely, the underweight, normal, and overweight groups. The results are summarized as follows: The average BMI and systolic blood pressure of the three groups were 19.0, 127.3 mmHg; 22.4, 132.8 mmHg; and 26.8, 136.1 mmHg respectively. The BQI and T-scores of the three groups were as follows: 56.6, -2.50; 62.3, -2.22; 66.0, -2.03 respectively. The bone status of the three groups, in terms of the percentage of normal and osteoporosis, were 9.5%, 52.4%; 8.3% 33.0%; and 8.8%, 23.6% respectively. We noted no significant differences in processed food intake (frozen, cold and can processed food, instant and convenience store food, basic side dishes) behavior among the three groups. However, we recorded a negative value between processed food intake and bone density (BQI, T-score, %young adult, Z-score, %age-matched) generally. In particular, ramyeon (r=-0.1574, p<0.05) and cup-ramyeon (r=-0.1996, p<0.05) intake were significantly associated with the T-scores of bone density levels. The results of this study revealed that processed food intake was not generally desirable for healthy bone. Thus, practically and systematically organized education regarding a good and healthy dietary life is highly recommended.

This study was conducted to investigate on bone density and nutrient intake of university students in Seoul area. Nutrient intake data were obtained by using the 24-hour recall method to evaluate the usual diet of the subjects. BQI(bone quality index) of the subjects was measured by an Quantitative Ultrasound (QUS). The results are summarized as follows: The average height, weight, BMI of the male and female student were 173.3 cm, 68.5 kg, 22.7; 161.4 cm, 54.2 kg, 20.8, respectively. The BQI and Z-score of the subjects were 99.50, -0.69 in male student group, and 82.6, -1.15 in female student group, respectively. Normal, osteopenia and osteoporosis percentage by bone status were 73.8%, 24.9%, 1.3% in male student group, and 39.8%, 57.6%, 2.6% in female student group, respectively. Energy intake of male and female group were 71.7%, 79.1% of EER(estimated energy requirement) respectively. Fiber, Ca, Vit B2, niacin, folic acid, Vit C intake were less than RI(recommended intake) and protein, phosphorus intake were higher than RI in subjects. Nutrient intake were not significantly related with BQI in male and female groups generally.

This study was conducted to investigate factors affecting gone density of university students in Seoul area. Data for food habits, exercise and health-related behaviors were obtained by self administered questionnaires. BQI(bone quality index) of the subjects was measured by an Quantitative Ultrasound(QUS). The results are summarized as follows: The average hight, weight BMI and osteopenia percentage of the male and female student were 173.3cm, 68.6kg, 22.7 and 24.2%; 161.4cm, 54.4kg, 20.9 and 55.5%, respectively. The BQI and Z-score of the subjects were 99.6, -0.3 in male student group, and 82.7, -1.1 in female student group, respectively. Height, weight, fat weight, fat mass and BMI were positively related with BQI in female group. BQI was positively affected by breakfast and frequence exercise in male student group. In female student group, frequency exercise was positively related with BQI. The result of this study revealed that the desirable food habits, dietary behaviors and health-related lifestyles may have a beneficial effect on bone density. They should have practically and systematically organized nutritional education on optimum body weight, good eating habits, weight bearing exercise for higher bone density level.

본 연구에서는 채식, 비채식 남녀대학생을 대상으로 골밀도를 측정하고 신체계측, 식습관, 운동 등의 요인이 골밀도에 미치는 영향을 조사하였으며 결과는 다음과 같다. 1. 채식남학생은 33명(44.0%), 여학생은 34명(25.2%), 비채식군남학생 42명(56.0%), 여학생 101명(74.8%)이었으며 평균신장과 체중은 채식남학생 172.61cm, 62.42kg, 비채식남학생은175.38cm, 72.52kg, 채식여학생은 160.47cm, 55.76kg, 비채식여학생은 161.77cm, 56.34kg이었다. 2. 평균 BQI은 남학생군에서 채식군과 비채식군 각각 101.73, 107.43이었고, 여학생군에서는 각각 84.15, 89.64이었다. Z-score는 채식남학생 -0.16, 비채식남학생 0.15, 채식여학생은 -1.07, 비채식여학생은 -0.73이었고, T-score는 채식남학생 -0.28, 비채식남학생 0.03, 채식여학생 -1.07, 비채식여학생은 -0.77이었다. 3. 조사대상자의 골밀도 상태를 정상, 골감소증, 골다공증 3군으로 분류하였을 때 골밀도가 정상인 경우는 채식남학생 75.8%, 비채식남학생 83.3%, 채식여학생은 44.1%, 비채식여학생은 60.4%이었다. 골감소증은 채식남학생 24.2%, 비채식남학생 16.7%이었고, 여학생의 경우 각각 55.9, 37.6%로 채식군의 골감소증 비율이 높았다. 조사대상자에서 골다공증은 비채식여학생군에서 2명(2.0%)이었다. 4. 식습관을 조사한 결과 영양보충제를 섭취하지 않는 비율은 채식남학생 66.7%, 비채식남학생 54.8%, 채식여학생 58.8%, 비채식여학생 44.6%이었고, 규칙적으로 식사를 하는 경우는 채식남학생 75.8%, 비채식남학생 50.0%이었고, 채식여학생은 44.1%, 비채식여학생 34.7%으로 채식군의 비율이 높았다. 육식과 채식을 혼합하여 섭취하는 비율은 비채식남학생 83.3%, 비채식여학생 87.1%이었으며, 아침을 매일 먹는 채식남학생은 78.8%, 비채식남학생은 33.3%, 채식여학생 47.1%, 비채식여학생 39.6%이었다. 또한 식사의 양은 과식한다는 응답이 채식남학생 24.2%, 비채식남학생 38.1%, 채식여학생은 29.4%, 비채식여학생 40.6%으로 비책식군의 과식율이 높았다. 5. 식품 섭취빈도는 두부 및 콩제품을 매일 섭취하는 경우는 채식남학생 54.6%, 비채식남학생 16.7%, 채식여학생은 38.2%, 비채식여학생이 16.8%이었다. 우유 및 유제품을 매일 섭취하는 경우는 채식남학생 6.1%, 비채식남학생 33.3%, 채식여학생 14.7%, 비채식여학생은 21.8%이었으며, 녹차, 커피 등 차를 마시지 않는다는 비율은 채식남학생 69.7%, 비채식남학생 28.6%, 채식여학생 29.4%, 비채식여학생 25.7%이었다. 인스턴트 식품을 매일 섭취한다는 응답율이 채식남학생 9.1%, 비채식남학생 21.4%, 채식여학생은 17.7%, 비채식여학생은 14.9%이었다. 6. 운동, 체중 조절 등에 대한 조사 결과 항상 운동을 하는 경우는 채식남학생 30.3%, 비채식남학생 28.6%, 채식여학생 14.7%, 비채식여학생 18.8%이었으며 운동시간은 1~2시간 하는 경우는 채식남학생 30.3%, 비채식남학생 38.1%, 채식여학생은 8.8%, 비채식여학생은 17.8%이었다. 체중에 만족하는 정도를 보면 채식남학생 57.6%, 비채식남학생 23.8%, 채식여학생은 23.5%, 비채식여학생은 15.8%가 만족한다고 하였다. 체중 조절 경험에서 경험이 있는 경우가 채식남학생 3.0%, 비채식남학생 31.0%, 채식여학생은 23.5%, 비채식여학생 31.7%이었다. 7. 골밀도 BQI값과와 몇가지 요인의 상관관계를 살펴보았을때, 채식남학생은 영양보충제의 섭취와 유의적인 양의 상관관계를, 해조류의 섭취정도와 유의적인 음의 상관관계를 나타내었다. 비채식대학생의 경우 골밀도와 여러 요인과는 유의적 상관관계를 보이지 않았다. 채식여학생은 식사규칙성에서 유의적 음의 상관관계를, 식사량과 양의 상관관계를 보였다. 비채식여학생군에서도 비채식남학생군과 같이 전반적으로 유의적 상관관계를 보이지 않았다.

The purpose of the this study was to investigate the dietary behavior and the food habits of university freshman according to body mass index. Questionnaire were completed by 532 students in university freshman. The data were analyzed by SAS program. The results were as follows : The means of normal group's height, weight were 175.00±5.98cm, 72.93±10.20kg for male students and 162.00±4.75cm, 51.97±4.98kg for female students. Under 20 of BMI(body mass index) among students were 69.7% for male and 9.6% for female. Twenty~twenty five(20~25) of BMI were 21.9% for male and 40.2% for female. The consumption of milk, oil and animal fat were significant according to BMI. There was high significant difference in the score of exercise and activity. In the self recognition of body shape 59.0% of male and 52.6% of female in normal weight group answered that their weight had to be a little thin. Self satisfaction rate was significantly higher in under weight group compared to normal weight group. This study suggest that a comprehensive nutrition education program is need for university students to improve desirable food habits and recognition of rate of figure.

This study was to investigate the food habits and the dietary behaviors of university students. Questionnaires were completed by 492 students in five different departments. The data were analyzed by SAS program. The results are summarized as follows: Fifty(10.2%) of respondents were vegetarians, 81(16.4%) were heavy meat eaters and all the others were light meat eaters. All students had their biggest meal at supper. Three hundred and ninety-three(79.9%) of the respondents usually had rice for breakfast. Three hundred -sixteen(64.2%) ate 3 meals a day, 155(31.5%) ate 2 meals and all the others ate 1 meal or more than 3 meals. The length of mealtime was 30 minutes in 268(54.5%), 10 minutes in 209(42.5%) and more than 1 hour in all the others. Respondents considered taste the most important meal factor with nutrition, hygiene, and amount ranked accordingly. A majority(63.0%) of respondents ate occasionally ate between meals, while 28.1% snacked frequently, and 8.9% ate no snacks. Although nutrition dept. students had studied nutrition subject, some results of nutrition dept. students were desirable and others were undesirable in dietary behaviors. Therefore they should have a nutritional education program to improve their food habits and the dietary behaviors for students' health. And nutritional education program should be organized practically and systematically.

마쇄한 무를 30%사용하여 당질을 가하지 않은 동치미, 전분을 1% 가한 동치미. 설탕을 1% 가한 동치미를 담가 4℃에서 30일간 발효시켰다. HPLC 및 TLC 분석결과 전분을 가하지 않은 동치미에는 글루코오스, 프룩토오스, 수크로오스가 있었고. 발효진행에 따라 이들이 함량이 낮아졌다. 전분을 가한 동치미는 아밀라아제의 작용으로 이들 당 외에 말토오스, 말토트리오스, 말토테트라오스가 생성되었다. 수크로오스를 가한 동치미는 글루코오스, 프룩토오스, 수크로오스가 나타났다. 당질을 가하지 않은 동치미는 30일 발효후 환원당 53 ㎍/ml, 아밀라아제 활성 0.012uni1/ml, pH 3.84, 산도 1.8을 나타냈다. 전분 1%를 가한 동치미는 환원당 173㎍/m1, 아밀라아제 활성 0.019unit/ml, pH 3.87, 산도 2.1을 나타냈다. 수크로오스 1%를 가한 동치미는 환원당 211㎍/m1, 아밀라아제 활성 0.015unit/m1, pH 3.36, 산도 2.4를 나타냈다.

쌀 20%, 엿기름 4%를 가하여 7시간 동안 당화시켜 제조한 식혜는 말토오스 11.01%, 이소말토올리고당 5.31%, 말토트리오스 1.75%, 글루코오스 0.28%를 나타냈다. 알코올침전, Toyoperal HW-40S의 겔 크로마토그래피로 식혜의 이소말토올리고당. 말토오스, 말토트리오스를 분리 정제하였다. NMR분석 결과 말토오스와 말토트리오스는 α-1, 4-글루코시드 결합만으로 이루어졌고, 이소말토올리고당은 α-1, 4-글루코시드 결합과 α-1, 6-글루코시드 결합이 5 : 1로 이루어진 것으로 나타났다. 이소말토올리고당을 pullulanase처리한 결과 말토오스와 말토헥사오스까지의 분포를 나타냈다.