• 스마트미디어저널
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• 제7권1호
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• pp.45-51
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• 2018

조류인플루엔자는 전염 속도가 매우 빠르고 양계농장을 중심으로 생산자들과 소비자들에게 심각한 영향을 끼친다. 그중에서도 2016년 말에 전국적으로 발생한 조류인플루엔자는 좁은 공간에 밀집시켜 사육하는 산란계 농장에 큰 피해를 주었다. 이에 따라 달걀과 달걀을 재료로 하는 가공식품의 가격이 급등하였고 언론은 많은 속보성 뉴스기사를 게재하였다. 본 연구는 사회이슈를 반영한 온라인 뉴스기사의 키워드 변화와 달걀가격 변동과의 상관관계를 알아보고자 하였다. 이를 위하여 2016년 11월부터 14주 동안 한국에서 발생한 조류인플루엔자 관련 온라인 뉴스기사 682건과 같은 기간의 달걀가격 변화를 분석하였다. 본 연구의 결과는 사회이슈를 반영하는 뉴스기사의 키워드와 실물가격과의 관계를 이해하는 데 기여할 것으로 기대한다.

• 농업과학연구
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• 제49권3호
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• pp.619-627
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• 2022

In Korea, apples and pears are among the most important agricultural products to farmers who seek to earn money as income. Generally, farmers make decisions at various stages to maximize their income but they do not always know exactly which option will be the best one. Many previous studies were conducted to solve this problem by predicting farmers' income structure, but researchers are still exploring better approaches. Currently, machine learning technology is gaining attention as one of the new approaches for farmers' income prediction. The machine learning technique is a methodology using an algorithm that can learn independently through data. As the level of computer science develops, the performance of machine learning techniques is also improving. The purpose of this study is to predict the income structure of apples and pears using the automatic machine learning solution H2O.AI and to present some implications for apple and pear farmers. The automatic machine learning solution H2O.AI can save time and effort compared to the conventional machine learning techniques such as scikit-learn, because it works automatically to find the best solution. As a result of this research, the following findings are obtained. First, apple farmers should increase their gross income to maximize their income, instead of reducing the cost of growing apples. In particular, apple farmers mainly have to increase production in order to obtain more gross income. As a second-best option, apple farmers should decrease labor and other costs. Second, pear farmers also should increase their gross income to maximize their income but they have to increase the price of pears rather than increasing the production of pears. As a second-best option, pear farmers can decrease labor and other costs.

• Journal of Animal Science and Technology
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• 제63권1호
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• pp.36-45
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• 2021

Presently, there is an increased demand for livestock products all over the world which has led to more devotion on improving livestock population. Although goats have been bred for a long time in Korea, but there is not much research conducted on traditional Korean black goat (Capra hircus coreanae) compared to other livestock populations. Mutton consumption has been dramatically changing from medicinal use to edible meat and this trend directs the black goat populations declining and also mutton import quantities are increasing consistently. The present study introduced a new estrus synchronizing technique with subsequent artificial insemination (AI) for Korean black goats to enable crossbreeding with non-native breeds for the small or subsistent farmers. Our data highlighted that, the percentage of motile sperm from the electro-ejaculated samples declined significantly after freezing and melting. In addition, the sperm motility significantly declined with regard to sperm incubation period (0, 5, 60, and 120 min at 37℃) and was negatively correlated (64.2 ± 7.9%, 63.3 ± 5.8%, 49.9 ± 6.3%, and 35.9 ± 7.6%, respectively) in frozen-thawed sperm samples. Moreover, the E2 levels were unchanged even 24 h after controlled internal drug releas (CIDR) withdrawal. But, 48 h and 72 h after CIDR removal, E2 levels increased significantly. These data helps us to consider the two time points for AI; CIDR removal after 24 h, at which E2 decreases, and after 48 h, as the time at which progesterone increases. Additionally, the AI after 48 h of CIDR removal group exhibited significantly higher pregnancy and parturition rates (42.9%) compared to AI after 24 h after CIDR removal 28.6% group. In conclusion, these studies will propose an optimal estrus synchronisation process with subsequent timing of AI and also will promote the Korean black goat breeding industry.

• 소성∙가공
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• 제13권5호
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• pp.422-428
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• 2004

At present, the design of extrusion dies and operation in extrusion companies are primarily based on trial and error. The experience of the die designer, the press operator and the die corrector determine the performance of the extrusion die and the efficiency of the process. In order to produce defect-free products of desirable quality in terms of strength, surface quality and geometrical dimensions, it is important to obtain more knowledge of the processes that occur during extrusion. Recently, to reduce the costs of designing and manufacturing of extrusion dies, and to ensure the quality of the extruded products, numerical simulation for extrusion processes such as FEM (finite element method) is applied increasingly and becomes a very important tool for the design and development of new products. However, most of the studies about FE simulation have been accomplished for simple geometry and low extrusion ratio in the filed of steady metal flow conditions. The extruded products of AI alloy in industrial practice involve complicated sectional geometry. This study was designed to reduce the time of die design and manufacturing in the extrusion process using FEM simulation. FEM simulations of extrusion process were performed in non-steady states conditions by changing weld plate included in extrusion die set. Product which was employed in this study is heat sink that has been used in the parts of heat exchanger of electric circuits. It is generally applied for aluminum or its alloys due to heat efficiency and easy production of complicated shapes, and manufactured by extrusion process. The simulated results showed that weld plate shape in extrusion dies influences meta] flow and dimensional accuracy of products.

• 한국지역사회생활과학회지
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• 제17권3호
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• pp.55-65
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• 2006

Recent trends of global food production, processing, distribution and preparation under free trade circumstance are creating an increase in common' concerns about food safety. It is important that farmers improve agricultural products/food safety for satisfying consumer needs and health. Cognizant to the situation, this study was conducted to analyze how the Producers gather information, and determine their awareness about agricultural Products safety using a safety Questionnaire. The Questionnaire was given to 500 farmers who cultivate rice, fruit trees, vegetables, and other crops from September through October 2005. More than half of the producers felt concerns about the agricultural products/foods safety. Uneasiness of the producers was higher amongst those who were younger and earned a higher income. Pesticides and zoonosis (BSE AI, etc.) emerged as the main risk factors causing concerns among the greatest number of producers. Producers had a positive opinion of the effects and perception of food safety, but no opinion of the activity of government. The producers showed a high level of understanding of the Country of Origin Labeling System (88.2%), the quality certification system of agricultural and livestock products (71.9%), and the raising system of environment-friendly agriculture (72.7%). However, their level of understanding of the GAP (59.3%) and the Traceability System (22.8%) was still low. To effectively implement these policies, awareness of producers who are the beneficiaries of the above policies has to be enhanced. Therefore, the safety information should be provided at a more appropriate time and should be easier to understand.

• 한국IT서비스학회지
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• 제19권6호
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• pp.15-29
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• 2020

Facing the era of intelligence, the demands for changes of e-Government system appears to be rising upon the development of AI, VR, IoT and other new technologies. However, it also comes with the increasing possibility of mobile digital divide among regions, ethnicities and social classes. As the e-Government Service is only available for specific groups, the national government should proactively build an information environment to promote the convenient access and use of e-Government Service comprehensively by all the people. In the light of the sociodemographic characteristics, this study tests whether the difference is statistically significant involving the mobile digital divide between different groups with the analysis of variance, while determining the relationship between the mobile digital divide and the usage intention of e-Government Service through multiple regression analysis. The main findings of this study are as follows. First, there are differences and statistical significance between groups of different ethnicities and regions on accessibility with electronic products and networks. Second, there are obvious differences and statistical significance between groups of different ages, educational levels and ethnicities on the competency and usability of electronic products and networks. Third, the accessibility to electronic products and networks has no effect on the usage intention of e-Government Service, while the competency and usability of electronic products and networks have a strong positive impact on the usage intention of e-Government Service. The author hopes that the research findings of this paper can provide reference suggestions and opinions for bridging the digital divide among regions in China and promoting the popularization of the e-Government Service.

• 산업경영시스템학회지
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• 제46권2호
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• pp.176-182
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• 2023

With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.

• 한국전자거래학회지
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• 제24권2호
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• pp.71-89
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• 2019

기업은 소비자가 만족하는 제품을 개발하고 개선하기 위하여 설문조사와 같은 전통적인 마케팅리서치 방법을 이용하여, 소비자의 의견을 듣고, 분석하여 반영하는 노력을 한다. 최근에는 인터넷 사이트, 사회관계망(SNS) 등 소비자 커뮤니케이션 플랫폼에서 관련 자료를 수집하고 분석하는 방법이 주목을 받고 있다. 한편, 급속한 정보통신기술의 발달과 함께 이동통신사들이 아동을 위한 디지털상품을 출시하고 있는데, 특히 유해한 콘텐츠로부터 아동을 보호하고, 부모와 아동들에게 필요한 정보와 기능은 보완된 디지털 디바이스들이 등장하고 있다. 이 가운데 키즈폰은 불필요한 기능은 없애고 아동들에게 기본 안전 기능을 담은 웨어러블 디바이스로서 부모가 쉽게 자녀의 위치를 실시간으로 알게 해주는 유용한 도구이다. 키즈폰은 스마트폰에 비해 저렴하고 간편하지만 고장이 잦고, 안전 이외에 유용한 기능을 기대하기 힘들며, 부가적인 기능들 또한 유용하지 못하다는 점이 지적되고 있다. 본 연구는 국내 이동통신사의 키즈폰(Kids Phone)에 대한 리뷰를 분석하여, 제품들의 특성과 장단점을 파악하고, 디바이스와 서비스에 대한 개선방안을 제안함으로써, SNS 소비자 분석을 통한 제품 서비스 개선 전략수립 방법을 제시하고자 한다. 이를 위해 국내 쇼핑몰의 리뷰 섹션에서 자료를 수집하고, TF/IDF, 감성분석, 네트워크분석 등의 텍스트 마이닝 기법을 활용하여 소비자 감성분석을 실시하였다. 고객 리뷰는 온라인 쇼핑몰과 네이버 블로그에서 크롤링하여 수집 하였으며, 통계/데이터 마이닝 및 그래픽은 'R'과 빅데이터 분석 솔루션 'Textom', 그리고 오픈소스 프로그래밍 언어인 'Python'을 함께 사용하여 분석하고 시각화하였다. 본 연구를 통해 각 이동통신사의 현재 제품(키즈폰)에 대한 소비자가 느끼는 주요이슈와 제품의 장단점을 파악할 수 있었으며, 더 나아가 감성분석을 바탕으로 키즈폰 제품의 서비스 개선전략 방향을 제안할 수 있었다.

• 한국전자거래학회지
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• 제27권1호
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• pp.29-41
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• 2022

1995년 역사적 첫 배너광고 판매 거래 이후 전자상거래는 명실공히 새로운 유통채널로 자리매김 하였다. 20년 이상의 역사 속에 소비자의 자연스러운 소비 습관이 되어 경험 부족은 더 이상 전자상거래의 발전을 늦추는 이유가 될 수 없게 되었고, 그 규모를 계속 확장하며 이제 기존 유통채널을 위협하는 존재로 성장하였다. 하지만 이러한 전자상거래 시장의 지속적인 성장에도 불구하고, 자산 특유성이 높거나 설명 복잡성이 높은 상품의 경우, 소비자가 상품의 품질을 검증하는 것이 제한적일 수밖에 없는 전자상거래의 한계로 인해, 온라인 시장으로의 진출 및 확장은 힘들 것으로 여겨져 왔다. 특히, 이러한 조건 하에서 기존 사용자에 따라 품질의 차이가 많이 나고 설명 난이도가 높은 중고품의 온라인 거래 활성화는 거의 불가능한 것으로 여겨져 왔다. 중고품의 경우 상품에 대한 많은 정보를 가진 판매자 대비 정보를 많이 가지지 못한 구매희망자 간 정보 비대칭성으로 더욱더 시장의 성립이 힘들 수 있다는 것이 또한 온라인 중고거래에 대해 부정적인 시선을 갖게 하는 이유이다. 하지만, 본 논문에서 이와 같은 한계를 인공지능(AI)에 기반한 동적 가격 분석과 예측을 통해 문제 가능성을 최대한 낮춤으로써 극복하고, 품질 평가 표준화를 통하여 전자상거래 최고 거래 난이도의 중고 의류소매업에 전례 없이 성공한 thredUP의 사례분석을 통해 전자상거래, 특히 온라인 중고거래의 향후 발전 방향과 가능성을 제시하고자 한다.

• Journal of Applied Biological Chemistry
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• 제55권1호
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• pp.13-17
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• 2012

In order to enzymatically produce chitooligosaccharide using the crude enzyme preparation from Bacillus cereus D-11, we first studied the optimal reaction conditions. It was found that the optimal temperature for hydrolysis of chitosan was $55^{\circ}C$. The ratio of enzyme/substrate should not be lower than 0.13 U/mg in the reaction mixture. The enzyme activity was stable below $50^{\circ}C$. The products of enzymatic reaction were analyzed by both thin layer chromatography and high performance liquid chromatography. Under the appropriate condition, chitosan was hydrolyzed using the enzyme preparation. The resulting chitooligosaccharides were purified and separated by Dowex ($H^+$) ion exchange chromatography. From 4 g soluble chitosan, 0.95 g $(GlcN)_2$, 1.43 g $(GlcN)_3$, and 1.18 g $(GlcN)_4$ were recovered.