• Horticultural Science & Technology
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• v.31 no.1
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• pp.80-88
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• 2013

Carrot (Daucus carota L. var. sativa) is one of the most extensively used vegetable crops in the world and a significant source of nutrient because of its high content of ${\beta}$-carotene, well known as the precursor of vitamin A carotenoid. However, seed-hairs generated and elongated from the epidermal cell of seeds inhibit absorption and germination by various factors such as carotol and so on. Accordingly, mechanical hair removal process is essential before commercialization of carrot seeds. Because of this process, producers will have additional losses such as time consuming, manpower, capital and so on. Furthermore, physical damage of seeds causes irregular germination rate. To overcome such cumbersome weaknesses, new breeding program for developing hairless-seed carrot cultivar has been needed and studies for molecular markers related to seed-hair characteristic is needed for a new breeding program. Therefore, in this study, cDNA libraries from seeds of short-hair seed phenotype CT-SMR 616 OP 659-1 line, hairy-seed phenotype CT-SMR 616 OP 677-14 line and short-hair seed phenotype CT-ATR 615 OP 666-13 line, hairy-seed phenotype CT-ATR 615 OP 671-9 were constructed, respectively. Furthermore, 1,248 ESTs in each line, total 4,992 ESTs were sequenced. As a result, 19 SNP sites and 14 SNP sites in each of 2 combinations were confirmed by analyzing these EST sequences from short-hair and hairy-seed lines. Then we designed SNP primer sets from EST sequences of SNP sites for high resolution melting (HRM) analysis. Designed HRM primers were analyzed using hairy seed phenotype CT-SMR 616 OP 1040 line and short-hair seed phenotype CT-SMR 616 OP 1024, 1025, 1026 lines. One set of HRM primers showed specific difference between the melting curves of hairy and short-hair seed phenotype lines. Based on this result, allele-specific (AS) PCR primers were designed for easier selection between hairy-seed carrot and hairless seed carrot. These results of HRM and AS-PCR are expected to be useful in breeding of hairless seed carrot cultivar as a molecular marker.

• Cartoon and Animation Studies
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• s.37
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• pp.45-82
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• 2014

Comics and cartoons of superheroes in the West have adopted various semiotic systems and other art-forms, including their politico-socio-economic condition, and made parody of other popular texts, as well. Based on the idea of the development of superhero genre, this article focuses on how East Asian popular texts appropriate and reconstruct the genre, which was once considered the realization of American idea, by analyzing a series of TV animation (Japan, Sunrise,2011). Through the feature of parody with intertextuality, provides East Asian value and sensibility of characters as corporation-centered modern humans in capitalist society. This animation has similarity and difference, compared to that of Western superhero cartoons. It satires Western capitalist society and emphasizes Eastern family-oriented value. The performances of superheroes on TV represent the satire on Western style individualism and estimation through each one's achievement. It metaphorically criticizes the situation in which modern human falls into dependency on capital and media, and the capitalistic system in which public good is used for the method of private profit. emphasizes East Asian value of human and society, the cooperative relation for the success and maintenance of community by combining members of state and society through familial sensibility. Tiger functions as a spiritual leader in the group of superheroes who have been obsessed with competition for their own private purpose rather than public cause, Bunny and other colleagues are gradually influenced by Tiger's familial communicative style. emphasizes community-centered view and self-sacrificing sensibility as an international citizen to solve social pathology of modern world.

• Korean Journal of Environment and Ecology
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• v.35 no.3
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• pp.256-264
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• 2021

Rapid urbanization around the world has negatively affected wildlife habitats, including birds. Wild birds settled in the city are adapting to the changed surroundings, and are typically known to make nests using materials that are easy to find around the city. This study was conducted for the purpose of analyzing the nesting materials on the Paridae using artificial bird nests installed in cities. In this study, the researchers established a total of 33 artificial bird nests in urban parks (22) and forests (11) in Cheonan-si, Chungcheongnam-do. Then we collected 4 artificial bird nests in urban parks (18.19%) and 5 in urban forests (45.46%) to compare the characteristics of bird nest materials by the nest, species, and urban green area types. Eight nests, excluding a nest abandoned by a pair of Paridae, were used for the material analysis. The collected nests were dried, and classified into natural materials (vegetable materials, animal materials, moss, and soil) and artificial materials (cotton, paper pieces, plastics, vinyl, and synthetic fibers), and then each nest was weighed. The classification result shows that the portion of moss (50.65%) was the highest in all nests, followed by soil (21.43%), artificial material (13.95%), vegetable material (5.78%), animal material (4.57%), and others (3.59%) in that order. Artificial materials were used in all nests in urban green areas. Moreover, although the Paridae used about 5.16% more vegetable material than the Parus varius, it was not significant (t=2.17, p=0.07). Plant materials and soil were most preferred in urban forests, and moss, animal, and artificial materials were widely used in that order in urban parks. There was a significant difference in the use of vegetable materials between urban parks and urban forests (t=3.07, p<0.05^*). In the habitats like urbanized and dry areas, where artificial materials are highly accessible, artificial materials replaced some roles of natural materials. This study is a basic study for the analysis of the types of materials used in artificial bird nests to understand the habitat system of urban ecosystems. It can be used as the basic data for ecological studies and conservation of the Paridae species.

• Journal of The Korean Society of Grassland and Forage Science
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• v.42 no.2
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• pp.127-136
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• 2022

This study was conducted to estimate the damage of Whole Crop Maize (WCM) according to abnormal climate using machine learning and present the damage through mapping. The collected WCM data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. Deep Crossing is used for the machine learning model. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The damage was calculated by difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of WCM data (1978~2017). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization(WMO) standard. The DMY_normal was ranged from 13,845~19,347 kg/ha. The damage of WCM was differed according to region and level of abnormal climate and ranged from -305 to 310, -54 to 89, and -610 to 813 kg/ha bnormal temperature, precipitation, and wind speed, respectively. The maximum damage was 310 kg/ha when the abnormal temperature was +2 level (+1.42 ℃), 89 kg/ha when the abnormal precipitation was -2 level (-0.12 mm) and 813 kg/ha when the abnormal wind speed was -2 level (-1.60 m/s). The damage calculated through the WMO method was presented as an mapping using QGIS. When calculating the damage of WCM due to abnormal climate, there was some blank area because there was no data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.187-201
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• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

• Journal of the Korean earth science society
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• v.23 no.6
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• pp.494-506
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• 2002

The Korean Standard-Time (KST) in practice is about 30 minutes earlier than Korea’s solar-time. Suitability of tile KST is analysed by whether it is suitable for the society in general and for the mental and physical health of the Korean people. About 56% of the countries in the world use single standard-time coincident, 18% are 30 minutes earlier, and 21% are an hour or more earlier than their solar-times, respectively, and only 5% have standard-times 30 minutes later than their solar-time. This means adoption of the standard-time earlier than the solar-time is rather acceptable in most countries without any harm to the mental and physical health of their people. Because Korea is located on the western margin of the I-time zone (which is used standard longitude of 135$^{\circ}$E and is used as KST), KST is about 30 minutes earlier than Korea’s solar-time. This situation does not seem to affect adversely the physical, physiological or psychological activities of the people of Korea. It also helps in effective use of the daily time schedule throughout the year, moreover it diminishes the necessity of the summer-time system in the Korea. If H$^{\ast}$-time of the longitude of 127.5$^{\circ}$E that passes through middle of the Korean peninsular is used as KST, non-integer time difference from UTC is inevitable which may be of great inconvenience, and also the introduction of a summer-time system like most countries in high latitude, using their standard-time coincidentally with or even earlier than their solar time, will become essential.

• Food Science and Preservation
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• v.23 no.1
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• pp.131-138
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• 2016

This study was conducted to investigate the change in the quality of early season Fuji apples that were subjected to eight different storage conditions using the developed controlled atmosphere (CA) storage system. Early season Fuji apples grown at Mungyeong, in the South Korea, were harvested in September 2014 for storage studies. Flesh firmness, titratable acidity, total soluble solid content, weight loss, and internal browning disorder were used as quality indicators for the stored apples. Flesh firmness and weight loss were better than that of the control after 70 days of storage. However, there was no significant difference in the titratable acidity or total soluble solid content among the apple samples from eight chambers after storage. The internal browning disorder of apple samples in CA chambers occurred when exposed to 1% $CO_2+2%$ $O_2$ and 1% $CO_2+0.5%$ $O_2$, resulting in a higher incidence rate of 2 and 8% after 70 days of storage than that in the control. In addition, the CA storage conditions at 3, 4 and 5% $CO_2+2%$ $O_2$ increased the rate of internal browning disorder by 26%. Therefore, CA storage can be used to maintain the quality of the apple if the optimal gas concentrations in the CA are applied to the storage strategy.

• Journal of Technology Innovation
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• v.23 no.4
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• pp.1-31
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• 2015

Korea has continuously increased investment on R&D to improve global technology competitiveness through technology innovation. Korea's R&D expenditure as a percent of GDP is world's No. 1 as 4.15 and it accomplished 1 trillion won trade volume for 4 consecutive years. However, despite these efforts, technology balance of payment, which is an important factor that can measure nation's technology competitiveness is in a state of chronic deficit and the lowest level among OECD countries. In this paper, we studied methods to improve Korea's technology balance of payment We figured out concept and current state of technology trade and examined the importance of technology trade through making a comparison between commodity trade and technology trade. There have been studies regarding technology trade, but there was no study which tried to figure out cognition on technology trade from the point of view of companies which plays an important role in technology trade. For this, this study distinguished companies with experience in technology trade and which have not and conducted a survey to figure out cognition and current state of companies. The survey result showed noticeable difference on cognition of top decision makers between companies with experience in technology trade and which have not and there are serious shortage in department and staff which is exclusively responsible for technology trade. Also, despite their needs for education regarding technology trade, the ratio of employees who received education is below 10 % of the total respondents. This study suggested improvement methods such as reforming survey methods of technology trade statistics, enhancing social cognition, supporting to vitalize technology export, building infrastructure regarding technology trade, and opening education programs for cultivating experts based on preceding research and industry survey.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.19-38
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• 2017

Collaborative filtering (CF) algorithm has been popularly used for implementing recommender systems. Until now, there have been many prior studies to improve the accuracy of CF. Among them, some recent studies adopt 'hybrid recommendation approach', which enhances the performance of conventional CF by using additional information. In this research, we propose a new hybrid recommender system which fuses CF and the results from the social network analysis on trust and distrust relationship networks among users to enhance prediction accuracy. The proposed algorithm of our study is based on memory-based CF. But, when calculating the similarity between users in CF, our proposed algorithm considers not only the correlation of the users' numeric rating patterns, but also the users' in-degree centrality values derived from trust and distrust relationship networks. In specific, it is designed to amplify the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the trust relationship network. Also, it attenuates the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the distrust relationship network. Our proposed algorithm considers four (4) types of user relationships - direct trust, indirect trust, direct distrust, and indirect distrust - in total. And, it uses four adjusting coefficients, which adjusts the level of amplification / attenuation for in-degree centrality values derived from direct / indirect trust and distrust relationship networks. To determine optimal adjusting coefficients, genetic algorithms (GA) has been adopted. Under this background, we named our proposed algorithm as SNACF-GA (Social Network Analysis - based CF using GA). To validate the performance of the SNACF-GA, we used a real-world data set which is called 'Extended Epinions dataset' provided by 'trustlet.org'. It is the data set contains user responses (rating scores and reviews) after purchasing specific items (e.g. car, movie, music, book) as well as trust / distrust relationship information indicating whom to trust or distrust between users. The experimental system was basically developed using Microsoft Visual Basic for Applications (VBA), but we also used UCINET 6 for calculating the in-degree centrality of trust / distrust relationship networks. In addition, we used Palisade Software's Evolver, which is a commercial software implements genetic algorithm. To examine the effectiveness of our proposed system more precisely, we adopted two comparison models. The first comparison model is conventional CF. It only uses users' explicit numeric ratings when calculating the similarities between users. That is, it does not consider trust / distrust relationship between users at all. The second comparison model is SNACF (Social Network Analysis - based CF). SNACF differs from the proposed algorithm SNACF-GA in that it considers only direct trust / distrust relationships. It also does not use GA optimization. The performances of the proposed algorithm and comparison models were evaluated by using average MAE (mean absolute error). Experimental result showed that the optimal adjusting coefficients for direct trust, indirect trust, direct distrust, indirect distrust were 0, 1.4287, 1.5, 0.4615 each. This implies that distrust relationships between users are more important than trust ones in recommender systems. From the perspective of recommendation accuracy, SNACF-GA (Avg. MAE = 0.111943), the proposed algorithm which reflects both direct and indirect trust / distrust relationships information, was found to greatly outperform a conventional CF (Avg. MAE = 0.112638). Also, the algorithm showed better recommendation accuracy than the SNACF (Avg. MAE = 0.112209). To confirm whether these differences are statistically significant or not, we applied paired samples t-test. The results from the paired samples t-test presented that the difference between SNACF-GA and conventional CF was statistical significant at the 1% significance level, and the difference between SNACF-GA and SNACF was statistical significant at the 5%. Our study found that the trust/distrust relationship can be important information for improving performance of recommendation algorithms. Especially, distrust relationship information was found to have a greater impact on the performance improvement of CF. This implies that we need to have more attention on distrust (negative) relationships rather than trust (positive) ones when tracking and managing social relationships between users.

• Journal of Gifted/Talented Education
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• v.24 no.4
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• pp.613-628
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• 2014

The purpose of this study is to compare the differences of the career development and the occupational view between giftedness in computer science and normal students in elementary school, so the results of this study provide assistance to the teacher for the direction and guidance on the career education of the giftedness in computer science in elementary school. This survey is based on 82 giftedness in computer science and 167 normal elementary school students. The questionnaires used in the study contain questions asking regarding the career development and the occupational view. The results of this study were as follows : First, according to the consciousness analysis result about career, the giftedness in computer science choose to be scientific technicians, the normal students choose to be artists. The both groups get career information from their parents, but they usually don't get career counseling from teachers. The education of giftedness in computer science does not contribute to changing their dreams, while normal students have no interest in computer science. Second, according to the career development analysis result, in comparison with non-gifted students, the gifted in information science had more success in all domains of career development. Third, according to the occupational view analysis result, the information science gifted students had higher meaningful rate than the normal students. Intrinsic domain' had higher meaningful rate among the subordinate domains, there is no difference in 'extrinsic domain' and 'incidental domain' between the information science gifted students and the normal students. Fourth, according to the correlation analysis result of the career development and the occupational view, there is a positive correlation in all domains of them. The high they are in the career development, the more they have the certain occupational view. Likewise, if they have the certain occupational view, they will be more successful in career development. Based on the findings of this research, the directing and guidance on the career education of giftedness in computer science in elementary school is same as the followings. We should educate parents regarding information about career for students who are under the influence of parents greatly and indicate them to apply to their children appropriately. In addition, for making them to have the positive image of the computer science, teacher should provide more information about the area of information and form various curriculums to induce more interests about computer science. We need to strengthen the career education for guiding the gifted to assist them to establish their own goal and realize them how to study and choose their career in the future. In school education field, it must develop and manage the definite and empirical program, not the career development program which is focused on only entrance into advanced school, to boost self-realization ability and the suitable career education program based on the correct understanding on giftedness in computer science. For this, through steady trying and research, teachers should be eater to develop the career education for students. Also, we have to implement the internal stability career education program, so it will help students to be aware of their job and career; therefore, students will be able to plan and prepare for their career in this rapid changing world.