• Journal of Embryo Transfer
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• v.21 no.3
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• pp.225-231
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• 2006

The objective of this study was to determine changes in serum hormone concentrations, blood chemical values and recovery rate of in vivo embryos during the estrous cycle following super-ovulation treatments in Jeju black cows. Superovulation was induced by subcutaneous administration of FSH twice a day for 4 days. Serum hormones were assayed by radioimmunoassay (RIA) and blood chemical values were analyzed by blood analyser system. Embryos were collected from all treated black cows using nonsurgical technique on day 7 after artificial insemination (AI). The results of this study were summarized as follows: 1. The progesterone concentrations were $7.2{\pm}3.8ng/ml$ at day -11 and $0.3{\pm}0.1ng/mL$ at day 0 (Day 0 is the first day of AI). The estradiol concentrations were $10.6{\pm}4.48pg/ml$ at day -11 and $15.0{\pm}2.2pg/ml$ at day 0. The lowest level of progesterone was measured at day 0. The highest levels of estradiol was measured at day 0. 2. The blood chemical values of treated black cows were no significant differences in normal cow values. 3. Sixty two embryos were collected in 12 black cows. Among the collected embryos, 37 embryos (59.7%) could be transferred into recipients. These results would be used as the basic informations for changing patterns of hormonal level and blood biochemistry in Jeju black cow with superovulation.

• Journal of the Korean Society of Food Culture
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• v.26 no.3
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• pp.295-306
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• 2011

This study was performed to investigate patterns of fortified food (FF) consumption and intake of vitamins and minerals from FFs among 577 Korean children (12.4 years of age) who attended elementary or middle school. FFs eaten by children as a snack were surveyed using the food record method during 3 days, including 2 week days and one weekend. As a result, 114 FF items were eaten by the children, and several kinds of nutrients such as vitamin A, D, E, B complex, C, calcium (Ca), iron (Fe), and zinc (Zn) were fortified in these foods. Ca-FFs (65.8%) were most frequently consumed, followed by vitamin C-FFs (33.4%) and vitamin D-FFs (33.3%). The number of FF items in each food group was the most in the milk group (n=24, 21.0%), followed by the beverage group (n=19, 16.7%), and the cookie/bread/cake group (n=17, 14.9%). Fortified nutrients in FFs were in various combinations, but the major combination patterns were Ca, Ca plus vitamins, Ca plus vitamins plus other minerals, and Ca plus other minerals. Daily mean intakes of vitamins and minerals from the FFs were 66-300% more than those of the recommended nutrient intake (RNI ) or adequate intake (AI) for most vitamins and minerals. Daily maximum intakes (95th percentile) of vitamins and minerals from FFs were 1-15 times the RNI or AI for most vitamins and minerals. Vitamin and mineral consumption ratios from each FF group were different according to the kind of fortified nutrient. For example, vitamin C was mostly eaten in fortified beverages (46-54%), and Fe was mostly eaten in fortified cookie/breads/cakes (87%). The above results show that FF consumption varied widely among the children, and that most of the children's foods were fortified with several vitamins and minerals without a common rule; thus, subjects risked over consuming vitamins and minerals by eating FFs. Therefore, practical guideline on FF use for children's optimal nutrition and health should be provided through nutrition education.

• Journal of Veterinary Clinics
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• v.26 no.3
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• pp.231-237
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• 2009

This study was performed to investigate the changes of the serological lipid-related parameters of the rats when they were fed with the high fat diets supplemented with or without naringin for five weeks. Twenty-four Sprague-Dawley male rats($272.2{\pm}7.2$ g of body weight) were randomly divided into three groups(eight rats per each group) : control(C) group and two treatment groups. Rats in the C group were fed with the high-fat diet containing 15% lard, 1% cholesterol and 0.5% sodium cholate(w/w) which was modified from the formula of the American Institute of Nutrition-76(AIN-76) diet. Rats in treatment groups were fed with above diet supplemented with 0.1% naringin(N-0.1) or 0.2% naringin(N-0.2) on the weight to weight basis, respectively. The supplementation of naringin did not induce any significant difference on the final body weight, gain of body weight, the amount of feed intake and the feed efficiency of rats in between control and treatment groups. In addition the levels of glucose, total protein, albumin, globulin and albumin/globulin(A/G) ratio in sera of rats showed no significant differences between control and treatment groups. The levels of total cholesterol(TC) and low density lipoprotein-cholesterol(LDL-C)in sera of rats in both N-0.1 and N-0.2 groups were significantly lower than in C group(p<0.05). The levels of high density lipoprotein-cholesterol(HDL-C) were significantly higher in both N-0.1 and N-0.2 groups than in C group(p<0.05). The values of atherogenic index(AI) were significantly lower in both N-0.1 and N-0.2 groups than in C group(p<0.05). The levels of triglyceride in sera of rats showed no significant differences between control and treatment groups. The values of AST and ALT were significantly lower in both N-0.1 and N-0.2 groups than in C group(p<0.05). Therefore the supplementation of naringin to high fat diet in rats reduced effectively the serum lipid levels such as TC and LDL-C and AI which were regarded as to cause the cardiovascular diseases, and moreover it elevated the HDL-C value effectively which was regarded to protect cardiovascular diseases.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.7-18
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• 2021

Recently, various connected industrial parks (CIPs) architectures using new technologies such as cloud computing, CPS, big data, fifth-generation mobile communication 5G, IIoT, VR-AR, and ventilation transportation AI algorithms have been proposed in Korea. Korea's small and medium-sized enterprises do not have the upper hand in technological competitiveness than overseas advanced countries such as the United States, Europe and Japan. For this reason, Korea's small and medium-sized enterprises have to invest a lot of money in technology research and development. As a latecomer, Korean SMEs need to improve their profitability in order to find sustainable growth potential. Financially, it is most efficient for small and medium-sized Korean companies to cut costs to increase their profitability. This paper made profitability improvement by reducing costs for small and medium-sized enterprises located in CIPs in Korea a major task. VJP (Vehicle Action Program) was noted as a way to reduce costs for small and medium-sized enterprises located in CIPs in Korea. The method of achieving minimum logistics costs for small businesses through the Korean CIPs payment system was analyzed. The details of the new Korean CIPs payment system were largely divided into four types: "Business", "Data", "Technique", and "Finance". Cost Benefit Analysis (CBA) was used as a performance analysis method for CIPs payment systems.

• The Journal of Korean Philosophical History
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• no.59
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• pp.155-190
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• 2018

The paper has focused on the 20 Iching-hexagrams from the eleventh t'ai[ ] to the final one of the Upper Book li[離] to examine the principles of learning and education involved in Xugua zhuan[序卦傳], the Ordinal Sequence of the Hexagrams as one among Ten Wings in I Ching. Some implications involved in this part of the Book of Change provides us with numerous teachings and educational principles. I try to concisely note the three teachings of the major argument as shown in the paper. Firstly, we should take the process of learning as the circular system of thought[環 相型], not as the linear system assuming the final destination like the Final Cause in the Aristotelian teleology. In the same token, the process of learning should be regarded as 'initiation', which has been initially adopted to justify the concept of education by R. S. Peters. As a circular system, there are two kinds of initiation. The one sense is 'crossing the threshold of illiteracy' seen as 'small initiation', which apprehends the points of argument in the previous paper, namely, on hexagrams from ch'ien[乾] to t'ai[泰]. The other sense is 'getting on the inside of the worthwhile activities', seen as 'Grand Initiation', which apprehend the present points of argument. Secondly, as shown in the paper, the Book enables us to recognize the process of learning as 'Seeing What Is There'. This requires us the Principles of Mean and Perfection, which are to be taken differently from the Western ones. For this a learner should always hold the endless self-reflection and attitude to re-examine the original intention of one's own, whilst he is involved in the task of learning. Finally, we should take the Principles of Change seriously, such as extremity-reversibility[物極必反] and the sense of conformity, in order that we can establish the proper educational principles to tackle the social domains of learning as well as the personal ones.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1789-1803
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• 2022

With the increase of data and the development of AI technology, the strategies and policies related to integrated data are being actively established to increase the usability of data all over the world. Recently, in the research field, infrastructure projects and management systems are being prepared to utilize research data at the initiative of the government. Also, in Korea, platforms for searching and sharing research data are being actively developed. The National Disaster Management Research Institute (NDMI) has been conducting extensive research on disaster & safety as a national institute, but data-oriented management and utilization are insufficient. Because it still lacks consistent data management systems, metadata for outcomes of research, experts on data and policies for utilization of data to research. In order to move to the data-based research paradigm, we defined the master plans and verified a target model for the integrated management and utilization of disaster & safety research data. In this study, we found out the need to establish differentiated data governance, such as data standardization and unification of the data management system, and dedicated organization for managing data, based on the necessity and actual demands of NDMI. In order to verify the effectiveness of the target model reflecting the derived implications, we intend to establish a pilot mode. In the future, major improvement measures to establish a disaster & safety research data management system will be implement.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.967-977
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• 2022

The occurrence and intensity of wildfires are increasing with climate change. Emissions from forest fire smoke are recognized as one of the major causes affecting air quality and the greenhouse effect. The use of satellite product and machine learning is essential for detection of forest fire smoke. Until now, research on forest fire smoke detection has had difficulties due to difficulties in cloud identification and vague standards of boundaries. The purpose of this study is to detect forest fire smoke using Level 1 and Level 2 data of Geostationary Environment Monitoring Spectrometer (GEMS), a Korean environmental satellite sensor, and machine learning. In March 2022, the forest fire in Gangwon-do was selected as a case. Smoke pixel classification modeling was performed by producing wildfire smoke label images and inputting GEMS Level 1 and Level 2 data to the random forest model. In the trained model, the importance of input variables is Aerosol Optical Depth (AOD), 380 nm and 340 nm radiance difference, Ultra-Violet Aerosol Index (UVAI), Visible Aerosol Index (VisAI), Single Scattering Albedo (SSA), formaldehyde (HCHO), nitrogen dioxide (NO₂), 380 nm radiance, and 340 nm radiance were shown in that order. In addition, in the estimation of the forest fire smoke probability (0 ≤ p ≤ 1) for 2,704 pixels, Mean Bias Error (MBE) is -0.002, Mean Absolute Error (MAE) is 0.026, Root Mean Square Error (RMSE) is 0.087, and Correlation Coefficient (CC) showed an accuracy of 0.981.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.57-74
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• 2022

Recently, artificial intelligence parking control systems have increased the recognition rate of vehicle license plates using deep learning, but there is a problem that they cannot determine vehicles with fake license plates. Despite these security problems, several institutions have been using the existing system so far. For example, in an experiment using a counterfeit license plate, there are cases of successful entry into major government agencies. This paper proposes an improved system over the existing artificial intelligence parking control system to prevent vehicles with such fake license plates from entering. The proposed method is to use the degree of matching of the front feature points of the vehicle as a passing criterion using the ORB algorithm that extracts information on feature points characterized by an image, just as the existing system uses the matching of vehicle license plates as a passing criterion. In addition, a procedure for checking whether a vehicle exists inside was included in the proposed system to prevent the entry of the same type of vehicle with a fake license plate. As a result of the experiment, it showed the improved performance in identifying vehicles with fake license plates compared to the existing system. These results confirmed that the methods proposed in this paper could be applied to the existing parking control system while taking the flow of the original artificial intelligence parking control system to prevent vehicles with fake license plates from entering.

• Journal of the Korean Institute of Gas
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• v.26 no.4
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• pp.41-57
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• 2022

The global demand for carbon neutrality in response to climate change is in a situation where it is necessary to prepare countermeasures for carbon trade barriers for some countries, including Korea, which is classified as an export-led economic structure and greenhouse gas exporter. Therefore, digital transformation, which is one of the predictable ways for the carbon-neutral transition model to be applied, should be introduced early. By applying digital technology to industrial gas manufacturing facilities used in one of the major industries, high-tech manufacturing industry, and hydrogen gas facilities, which are emerging as eco-friendly energy, abnormal detection, and diagnosis services are provided with cloud-based predictive diagnosis monitoring technology including operating knowledge. Here are the trends. Small and medium-sized companies that are in the blind spot of carbon-neutral implementation by confirming the direction of abnormal diagnosis predictive monitoring through optimization, augmented reality technology, IoT and AI knowledge inference, etc., rather than simply monitoring real-time facility status It can be seen that it is possible to disseminate technologies such as consensus knowledge in the engineering domain and predictive diagnostic monitoring that match the economic feasibility and efficiency of the technology. It is hoped that it will be used as a way to seek countermeasures against carbon emission trade barriers based on the highest level of ICT technology.

• Convergence Security Journal
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• v.22 no.4
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• pp.35-44
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• 2022

Among the five promotion strategies of Defense Innovation 4.0(DI 4.0), the military structure/operation optimization strategy aims to innovate the military structure based on advanced science&technology(S&T), and to integrate advanced S&T in the field of defense operation such as education&training and human resource development. As the future battlefield expands to AI-based unmanned/robot combat systems, space, cyberspace, and electromagnetic fields, it is necessary to train officers with the capabilities required in these battlefields. It is necessary to develop capabilities from junior officers who will lead the future battlefield to operating core advanced power based on the 4^th industrial revolution S&T. We review the education system of the military in universities and propose a method of redesigning the education system that is compatible with DI 4.0 and can develop technology-intensive capabilities based on advanced S&T. We propose a operation plan of major and extra-programs that can develop the capabilities of junior officers required for the future battlefield, and also suggest ways to support the army's practical training.