• Korean Journal of Organic Agriculture
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• v.20 no.4
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• pp.535-542
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• 2012

This study was carried out from 2011 to 2012 in order to analyze the cultivation technology system by six organic rice cultivation types in the southern provinces for the purpose of utilizing organic rice farming guidelines. This surveys were conducted by site visit on 8 counties and 115 farms in southern area. Cultivation technology system by six organic rice cultivation types were cultivated by the principle of minimum input or non-input. cropping systems, a mixture of barley and rice, or rice green manure crops were grown. Cultivars were mixture of the local cultivars and Japanese varieties. Soil were managed by a self-manufactured compost, indigenous microorganisms and barley straw without any fertilization. Pest control was mainly practied by purchased eco-friendly organic materials or herbal medication residue and indigenous microbial self-manufactured. Weed was controled by snails and barley straw. In addition, considering the restore of a longtail pitching shrimp and grasshoppers, the fuction of environmental ecology of six organic rice cultivation type proved to be excellent all. Meanwhile, the productivity of the organic farming per 10a were the order of Life and environment > Natural circulation > Stevia > Ji jang > Art and nature > Taepyoung of Farming Methods, but the farmers received prices showed the opposite tendency. Simple profitablity did not show a big difference. But, the productivity of all type of the organic farming were lower then the conventional farming. Finally, If we want to conduct safety and easy farming, we can suggest stevia farming, Natural circulation farming and life and environmental farming out of 6 organic rice cultivation types.

• The Korean Journal of Food And Nutrition
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• v.18 no.3
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• pp.219-224
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• 2005

To see the antioxidative ability of puer tea against green tea, antioxidative effects of water and methanol extracts were compared and researched each. Water extracts from green tea and puer tea contain similar percentage of total polyphenol content while methanol extract from puer tea has about $58\%$ of total polyphenol content of that from green tea. Water extracts from both teas contain similar percentage of the electron donating ability while methanol extract from puer tea has about $54\%$ of the electron donating ability of that from green tea. Solvents made a big difference in SOD-like activities. The activations in water extracts were from $13.46\%$ to $48.93\%$, which didn't give much difference between green tea and puer tea. However, the activations in methanol extracts were $59.63\%$ in green tea and $48.93\%$ in puer tea, which was $3\~4$ times higher than that in water extracts and green tea activated better. The nitrite scavenging activity was similar in water extracts from both teas and the methanol extract from puer tea had a bit higher nitrite scavenging activity than that from green tea. The ACE inhibitory activity in water extract from puer tea was about $38\%$ higher than that from green tea while the activity of methanol extract from green tea was higher than that from puer tea. These results indicate that the antioxidative ability of water extract from puer tea is similar to that from green tea but the ACE inhibitory activity of puer tea reveals higher value and antioxidative ability of methanol extract from puer tea was lower than that from green tea while the nitrite scavenging activity of puer tea was higher.

• Journal of Sericultural and Entomological Science
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• v.8
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• pp.41-50
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• 1968

In order to achieve efficiency of laying eggs of silkworms, it is very important to eliminate noncocooning silkworms. This study is written on the basis of observation and analysis of mechanism of silkworms physiologically and anatomically. It is hoped that given herein will contribute to the effecting elimination work. Outline of the study summarize as follows: 1. It is observed through microscope that the silkworms which are seen normal state in the silk gland but no ability of cocoon making have polyhedrosis in the nerve, trachea and muscle near the tissue of the spinneret. 2. Relatively high proportion of non-cocooning silkworms are caused by the grasserie of the silkworms. 3. As a result of inoculation with purulent discharges against silkworms from first fooding through 8th day of 5th instar, number of cocooning silkworms were increased when inoculation are applied at laterer day of the instar. In the case of non-cocooning silkworms, meanwhile, resulted not big varriation when it is apllied in the early and middle of the period, but number of non-cocooning silkworm was reduced when the inoculation are given at laterer of the instar. Number of death during rearing and mounting are increased when earliest application of inoculation are carried out. 4. Symptom of grasserie was appeared more or less three days after application of the inoculation. Some silkworms which were inoculated just before mounting has ability of cocooning making even taken grasserie, in this case the silkworm can make thin cocoon. since the silkworm fall sick during cocoon making and unable of spinning soon. when the worm was affected by grasserie slightly, it was observed that the silkworm can spinning. It is supposed to be the light paralysis of spinneret is not very much influenced to spinning. 5. As a result of observation of original stock and hybrid including other 44 kinds of silkworm, many non-cocooning silkworms were found in the original stock especially originated from japanese than in hybrid. 6. A number of undulations are found in the middle division of the silk gland of non-cocooning silkworms. 7. According to the observation of the sizes of the body and digestive organs, normal natured silkworms and non-cocooning silkworms are more or less same in length, but the width, circumference of bodies and digestive organs were more larger in the later. If silkworm which was in the period of active eating of 5th instar was given shock of dropping to the floor, the silkworm receives little more shock when hit to side of the body than to head, and concrete floor than ondol and wooden floor.

• Korean Journal of Animal Reproduction
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• v.25 no.2
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• pp.191-198
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• 2001

The purpose of this study was to investigate the effects of embryo sources such as in vivo vs. in vitro produced blastocyst, and culture systems on the membrane permeability and viability of bovine blastocyst following GMP vitrification. To produce in vivo embryos, six cows were superovulated by administration of follicle stimulation hormone (FSH) and prostaglandin $F_{2{\alpha}}$(PG $F_{2{\alpha}}$). in vitro embryos were produced by two different culture systems, oviduct co-culture (OCS) and defined culture system (HECM-6; DCS). Ovaries were picked up at a local slaughterhouse and transported to laboratory in 3$0^{\circ}C$ saline within 2 h. Ovaries were washed with same saline three times and then placed in saline on warm plate adjusted at 3$0^{\circ}C$ during aspiration. The blastocysts produced were assigned for membrane permeability and viability following GMP vitrification. The membrane permeability of blastocysts was checked in 0.5 M sucrose solution on warm plate at 35$^{\circ}C$ for 0, 2, 5 and 7 min, respectively. Then the diameters (width and length) of embryo cytoplasms were measured by a eyepiece meter, and they were converted to their volume by 4/3 $\pi$ $r^3$. The blastocysts were cryopreserved by GMP vitrification method, where they were sequentially placed into vitrification solution before being loaded into GMP vessels and immersed into L$N_2$ within 20 to 25 sec. Post-thaw blastocysts were serially washed in 0.25 and 0.15 M sucrose in HM and TCM-199 for 5 min each, and then cultured in TCM 199 supplemented with 10% FCS for 24 or 48 h. The volume change of in vivo blastocyst at 0, 2, 5 and 7 min (100, 37.1, 34.3 and 31.6%) was significantly more shrunk than those of in vitro blastocysts derived from OCS (100, 59.8, 48.9, 47.9%) and DCS (100, 57.2, 47.3 and 46.9%) (P＜0.05). The viability of post-thaw blastocyst derived from in vivo (93.6%) was also significantly different from those in OCS and DCS (81.9 and 83.6%; P＜0.05). In the present culture system, the morphology of embryos produced in vitro was similar to that of in vivo embryos, but the quality in membrane permeability and post-thaw viability showed a big difference from their sources as in vivo or in vitro derived from OCS and DCS. The results indicated that the quality of in vivo embryos in membrane permeability and post-thaw viability was better than those of in vitro embryos derived from OCS or DCS.

• Journal of Energy Engineering
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• v.18 no.4
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• pp.221-229
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• 2009

This study develops the optimized operation program which enables effective and economic operation between individual and connected branch offices by analyzing the current status and influential indicators of district heating companies' capital branch offices. Accordingly, the study examines the efficiency of optimized operation program. In doing so, this study has diagnosed and analyzed various factors, such as boilers, pumps, and relevant tags (temperature, pressure, fuel amount) through investigation of individual branch offices, and finally succeeded in developing wide-ranging data base by factor covering one-year time period. Additionally, after running the optimized operation program, different branch offices, optimum preference has turned out "incinerator receiving heat from KEPCO>CHP >PLBs>PLBw." Meantime, except the connected offices, there has been no big difference between actual and optimum operation program in branch offices. Meanwhile, the integrated optimum operation program has made it possible the most optimal result only via the connecting supply and demand heat without changing received Heat from KEPCO which is the same as total productive heat. The result has showed that the reduction percentage per day is 2.45~6.80%, and the reduction cost per day is 22,727~60,077 thousand won given the randomly selected sample days. In particular, winter time shows the highest demand with the largest reduction cost whereas summer time illustrates the lowest demand with the smallest reduction cost. Given this result, reduction cost per year compared to actual heat production cost for one year theoretically would be 84 hundred million won. Also, the economic effect showed that the reduction cost percentage per year is more than 2.74% on heat production cost per year for all capital branch offices.

• Food Science and Preservation
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• v.24 no.7
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• pp.908-914
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• 2017

Cold plasma (CP) was applied to examine microbial safety and physicochemical properties of rough rice. CP was generated in a square-shaped plastic container (250 W, 15 kHz, ambient air) and dielectric barrier discharge plasma treatment was applied for periods of 0, 10, and 20 min during 2 weeks at 4 and $25^{\circ}C$. As a result of observing changes in growth of microorganisms, 3.46-3.86 log CFU/g of total aerobic bacteria and 2.27-2.86 log CFU/g of mold were detected in the early stage of storage. The growth of total aerobic bacteria and mold was increased depending on the storage temperature and period, but there was no big difference between cultivars. Microbial analysis after storage showed that microorganisms of plasma-treated group were less grown approximately 1.50 log CFU/g. Moisture content of rough rice was decreased by storage temperature and periods. As for the amylose content, changes in the content by plasma were not observed in Samkwang, Cheongpum and Misomi, whereas Palbangmi showed a tendency to increase. The results of this study indicated that CP treatment improved the microbial quality of rough rice, but further studies should be conducted to reduce the deterioration of sensory quality induced by CP.

• Cartoon and Animation Studies
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• s.41
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• pp.279-306
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• 2015

This paper is a study of the changing nature of software for virtual Cyborg self and the virtual body that occur in the game from a philosophical point of view. Looking broadly, the cyborg concept refers to the combination of man and machine. Specifically, there is a hardware cyborg organism to combine human and restoration of machine In addition, there is software cyborg by electronic the human brain of converting a virtual body. Virtual games are cases software-Cyborg applied. In the game , There seems to have characteristics of virtual body and ego that different from general cyborg meaning. To analyze the features, I applied the concept of software-cyborg of Hans morabek and the multiple selves in cyberspace properties of Kim Sun-Hee. generally, software cyborg cloning the brain type tended to invalidate the body due to the nature of the virtual world. But If you look at third-person's view and the game character that made from real actors, it is pursuing the realism of photographic images and it stressed the need for a virtual body in order to maintain the psychological identity of the player. And, The game player crosses the eight characters to choose while completing the mission. This is a big role in the reality ego leads to the desired final ending with the selection and experience to be experienced as self-replication to multiple. These cyber multi-ego looks for an active and positive features compared to the multi-ego in the real world and highlights the advantages of the software cyborg. Game The characteristics of the final result varies depending on the selection of the player. The life and death of a friend is determined by the relationship between the characters friendship. In this case, the virtual self is empirically through trial and error, moral, and try to select the desired setting the standard for intuitive and self own choice. Also It can be fused to the knowledge of multiple selves as one step is formed by a high spiritual introspection. This process is a positive interpretation of the world and their own forms of mental reflection through self-overcoming human, Nietzsche is said that the process is Wibeomenswi.

• Journal of Korean Society of Forest Science
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• v.36 no.1
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• pp.38-46
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• 1977

The purpose of this study are to analyze economic and psychological factors associated with the forest protection of the mountain people, and to explain the forms of the forest management by ownership classes, especially with forest in the production structure of the mountain villages, particulary from Aprial 1st to 20th in 1975. And the basis of the data for this study is to have been obtained by the sample of 462 households, in Jeonbuk province, which were selected by the method of Yandom sampling. In order to determine what relations there are between the forest ownership classes are independent and each of the selected economic and psychological factors, the chi-squre test was used. The findings may be summarized as follows; 1. The area per household forest land of the mountain villages farm families with forest was 1.4ha and are middle classes with the cultivated area, and manage their forest in favor of the forest fuel and the byproducts, which we call "Earn Ownership Management Form". As it is acomplished by the agricultural surplus labor, we can't expect the positive forest investments. 2. The expectation of the proceeds of forest investments seems to be high but 30% of them doubtful. And the mountain villages farm families with above 3ha forest area expect their forest investments to be positive and in future they have hope in the economic management from. 3. The mountainous mountain fram families reply to a small sums of capital and the control of after the fact on account of the negative factors of forest investment. But rural mountain villages farm famillies assist on spending too much money for the control and nexious insects damage. 4. The reason about illegal cut away was mainly their fuels problem and then most of moumtain farm villages was used to forest fuel in their fuel. But 57% of mountainous mountain villages farm families not having forest area, and 66% of them get their fual on the self-supply, and 66.9% of them get from public and nationat forest and other's forest. That is one of the big problems of the forest protection. 5. Above 66% of mountain people think that forest law is severe and 50% of mountainous mountain villages farm families think if usual. Especially ones not having forest area but taking advantage of forest among them think so. 6. Rural mountain villages farm families have comparatively positive attitude for protecting forest, but mountainous mountain villages farm families negative. Classes with above 3ha forest area have more outlook of forest protection. And the more such classes are, the better they can protect forest. 7. There are problem about operation and education of the forest law on the mountainous mountain villages farm families.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.45-67
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• 2016

Given the recent development of smart devices, users are producing, sharing, and acquiring a variety of information via the Internet and social network services (SNSs). Because users tend to use multiple media simultaneously according to their goals and preferences, domestic SNS users use around 2.09 media concurrently on average. Since the information provided by such media is usually textually represented, recent studies have been actively conducting textual analysis in order to understand users more deeply. Earlier studies using textual analysis focused on analyzing a document's contents without substantive consideration of the diverse characteristics of the source medium. However, current studies argue that analytical and interpretive approaches should be applied differently according to the characteristics of a document's source. Documents can be classified into the following types: informative documents for delivering information, expressive documents for expressing emotions and aesthetics, operational documents for inducing the recipient's behavior, and audiovisual media documents for supplementing the above three functions through images and music. Further, documents can be classified according to their contents, which comprise facts, concepts, procedures, principles, rules, stories, opinions, and descriptions. Documents have unique characteristics according to the source media by which they are distributed. In terms of newspapers, only highly trained people tend to write articles for public dissemination. In contrast, with SNSs, various types of users can freely write any message and such messages are distributed in an unpredictable way. Again, in the case of newspapers, each article exists independently and does not tend to have any relation to other articles. However, messages (original tweets) on Twitter, for example, are highly organized and regularly duplicated and repeated through replies and retweets. There have been many studies focusing on the different characteristics between newspapers and SNSs. However, it is difficult to find a study that focuses on the difference between the two media from the perspective of supply and demand. We can regard the articles of newspapers as a kind of information supply, whereas messages on various SNSs represent a demand for information. By investigating traditional newspapers and SNSs from the perspective of supply and demand of information, we can explore and explain the information dilemma more clearly. For example, there may be superfluous issues that are heavily reported in newspaper articles despite the fact that users seldom have much interest in these issues. Such overproduced information is not only a waste of media resources but also makes it difficult to find valuable, in-demand information. Further, some issues that are covered by only a few newspapers may be of high interest to SNS users. To alleviate the deleterious effects of information asymmetries, it is necessary to analyze the supply and demand of each information source and, accordingly, provide information flexibly. Such an approach would allow the value of information to be explored and approximated on the basis of the supply-demand balance. Conceptually, this is very similar to the price of goods or services being determined by the supply-demand relationship. Adopting this concept, media companies could focus on the production of highly in-demand issues that are in short supply. In this study, we selected Internet news sites and Twitter as representative media for investigating information supply and demand, respectively. We present the notion of News Value Index (NVI), which evaluates the value of news information in terms of the magnitude of Twitter messages associated with it. In addition, we visualize the change of information value over time using the NVI. We conducted an analysis using 387,014 news articles and 31,674,795 Twitter messages. The analysis results revealed interesting patterns: most issues show lower NVI than average of the whole issue, whereas a few issues show steadily higher NVI than the average.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.177-192
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• 2016

Machine learning is a field of artificial intelligence. It refers to an area of computer science related to providing machines the ability to perform their own data analysis, decision making and forecasting. For example, one of the representative machine learning models is artificial neural network, which is a statistical learning algorithm inspired by the neural network structure of biology. In addition, there are other machine learning models such as decision tree model, naive bayes model and SVM(support vector machine) model. Among the machine learning models, we use SVM model in this study because it is mainly used for classification and regression analysis that fits well to our study. The core principle of SVM is to find a reasonable hyperplane that distinguishes different group in the data space. Given information about the data in any two groups, the SVM model judges to which group the new data belongs based on the hyperplane obtained from the given data set. Thus, the more the amount of meaningful data, the better the machine learning ability. In recent years, many financial experts have focused on machine learning, seeing the possibility of combining with machine learning and the financial field where vast amounts of financial data exist. Machine learning techniques have been proved to be powerful in describing the non-stationary and chaotic stock price dynamics. A lot of researches have been successfully conducted on forecasting of stock prices using machine learning algorithms. Recently, financial companies have begun to provide Robo-Advisor service, a compound word of Robot and Advisor, which can perform various financial tasks through advanced algorithms using rapidly changing huge amount of data. Robo-Adviser's main task is to advise the investors about the investor's personal investment propensity and to provide the service to manage the portfolio automatically. In this study, we propose a method of forecasting the Korean volatility index, VKOSPI, using the SVM model, which is one of the machine learning methods, and applying it to real option trading to increase the trading performance. VKOSPI is a measure of the future volatility of the KOSPI 200 index based on KOSPI 200 index option prices. VKOSPI is similar to the VIX index, which is based on S&P 500 option price in the United States. The Korea Exchange(KRX) calculates and announce the real-time VKOSPI index. VKOSPI is the same as the usual volatility and affects the option prices. The direction of VKOSPI and option prices show positive relation regardless of the option type (call and put options with various striking prices). If the volatility increases, all of the call and put option premium increases because the probability of the option's exercise possibility increases. The investor can know the rising value of the option price with respect to the volatility rising value in real time through Vega, a Black-Scholes's measurement index of an option's sensitivity to changes in the volatility. Therefore, accurate forecasting of VKOSPI movements is one of the important factors that can generate profit in option trading. In this study, we verified through real option data that the accurate forecast of VKOSPI is able to make a big profit in real option trading. To the best of our knowledge, there have been no studies on the idea of predicting the direction of VKOSPI based on machine learning and introducing the idea of applying it to actual option trading. In this study predicted daily VKOSPI changes through SVM model and then made intraday option strangle position, which gives profit as option prices reduce, only when VKOSPI is expected to decline during daytime. We analyzed the results and tested whether it is applicable to real option trading based on SVM's prediction. The results showed the prediction accuracy of VKOSPI was 57.83% on average, and the number of position entry times was 43.2 times, which is less than half of the benchmark (100 times). A small number of trading is an indicator of trading efficiency. In addition, the experiment proved that the trading performance was significantly higher than the benchmark.