• 제목/요약/키워드: Use of AI

검색결과 1,011건 처리시간 0.036초

Effect of OPU Session Periods on the Efficiency of In Vitro Embryo Production in Elite Korean Native Cow

  • Choi, Byung-Hyun;Song, Seok-Hwan;Park, Bun-Young;Kong, Rami;Son, Mi-Ju;park, Chan-Sang;Shin, Nyeon-Hak;Cheon, Hye-Young;Lee, Sung-Hoon;Jin, Jong-In;Lee, Jung-Gyu;Kong, Il-Keun
    • 한국수정란이식학회지
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    • 제33권4호
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    • pp.265-270
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    • 2018
  • Up-to-date artificial insemination (AI) using frozen sperm consider as the most widely using technology for improvement of Korean Native Cow (Hanwoo) embryo production. However, it is time consuming, required at least 15~20 years to make more than 6 generations, and their offspring number is limited. To overcome such limitations, superovulation and in vitro fertilization have been developed. For superovulation, the number of produced embryos are not enough for commercialization and donor cows need rest period. This led to use of slaughterhouse ovary for in vitro fertilization, but it is impossible to repeat the collection from the same individual and it only can improve the genetic merits of offspring for one generation. Production of embryos using Ovum Pick-Up (OPU) technique, where oocytes can be repeatedly collected from living elite donor, might overcome these limitations. In this study, we investigated the possibility of using OPU technique from donors at different age and different session periods for mass-embryo-production. Oocytes were collected from 26 donor cows twice per week, 3 - 4 months per year, between 2013 and 2016. Results showed that, the average number of embryo produced in first year used donor was significantly higher than that in second year used donor ($3.89{\pm}2.85$ vs $3.29{\pm}2.70$), however, there was no significant difference between third year used donor ($3.51{\pm}3.32$) and other groups. Taken together, our data showed that repeated using of donor up to three years is possible for in vitro embryo mass-production. Moreover, OPU can be used as suitable embryo producing technique for livestock breed improvement.

럭셔리 패션 브랜드의 디지털 마케팅 전략 분석 (Analysis of digital marketing strategies of luxury fashion brands)

  • 박지수;이영주
    • 한국의상디자인학회지
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    • 제23권1호
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    • pp.87-102
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    • 2021
  • The purpose of this study is to consider effective digital marketing strategies through analysis of luxury fashion brands. This study conducted both quantitative analysis and case studies of the brands Louis Vuitton, Gucci, Burberry, and Chanel. To measure the brand image of the luxury fashion brands, the survey was distributed to Millennials, and total of 277 responses were used for the final analysis by using SPSS 25.0 statistical program. Other than survey, this paper analyzed digital marketing strategies of luxury fashion brands through brand-related papers, website and social media of each brand, Samsung Designnet's database, and news posted on search engines. The results of this study are as follows: First, according to the result of examining brand image of luxury fashion brands, there was no significant difference between brands, except Gucci. Second, this study analyzed each luxury fashion brand to understand the characteristics of digital marketing, and common characteristics were identified. Third, by analyzing the brand image and digital marketing strategies of luxury fashion brands, it was confirmed that Gucci's brand image and digital marketing strategies were consistent, while there was a difference between Burberry's brand image and digital marketing strategy. Therefore, this article proposes the following digital marketing strategies that are suitable for luxury fashion brands. First, is the connection of on/offline channels. Second, is the use of AI technology. Third, is a blockchain-based platform.

Electronic state calculation of ceramics by $DV-X\;{\alpha}$ cluster method

  • Adachi, Hirohiko
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 1994년도 추계 학술발표 강연 및 논문 개요집
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    • pp.1-1
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    • 1994
  • ;The electronic state calculations for various types of ceramic materials have beell performed by the use of $DV-X\;{\alpha}$ cluster method. The molecular orbital levels and wave functions for model clusters have been computed to study the electronic properties ami chemical bonding of the ceramics. For ${\beta}-sialon(Si_{6-z}Al_zO_zN_{8-z})$ which is a high temperature structural material based on ${\beta}-Si_3N_4$, we have made model cluster calculations to estimate the strength of chemical bonding between atoms by the Mulliken population analysis. It is found that the covalent bonding between Si and N atoms is very strong in pure ${\beta}-Si_3N_4$, but the covalency around solute atom is considerably weakened when Si atom is substituted by AI. This tendency is enhanced by an additional substitution of oxygen atom for N. The result calculated can well explain the experimental data of changes in mechanical properties such as the reductions of Young's modulus and Vickers hardness with increment of z-value in ${\beta}-sialon$. Various model clusters for transition metal oxides which show many interesting physical and chemical properties have also been calculated. High-valent perovskite-type iron oxides EMFe0_3E(M=Ca and Sr) possess very interesting magnetic and chemical properties. In these oxides, iron exists as $Fe^{4+}$ state, but the experimental measurement of Mossba~er effect suggests that disproportionation $2Fe^{4+}=Fe^{3+}+Fe^{5+}$ takes place for $CaFe0_3$ at low temperatures. The model cluster calculations for these compounds indicated the existence of considerably strong covalent bonding of Fe-O. The calculations of hyperfine interaction at iron neucleus show very good agreement with the experimental Mossbauer measurements. The result calculated also implies that the disproportionation reaction is strongly possible by assuming the quenching of breathing phonon mode at low temperatures.tures.

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New Distribution Strategies of Korean SMEs in Post COVID-19 Pandemic Era: Focusing on the Innovation of Official Distribution Channels

  • Lee, Min-Jae;Jung, Jin-Sup
    • Journal of Korea Trade
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    • 제25권3호
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    • pp.153-168
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    • 2021
  • Purpose - In this study, we aim to explore new distribution strategies for sustainable growth in the era of the 4th industrial revolution, focusing on SMEs (small and medium-sized enterprises) in Korea, and suggest ways to upgrade the government's official distribution channel to the next level. Design/methodology - First of all, this paper explored the prior research, the current status of sales support for SMEs, and the changes in the distribution industry due to COVID-19 pandemic. Based on Moon (2016)'s ABCD strategic model - Agility, Benchmarking, Convergence, and Dedication, the study then derived directions in which official distribution channels should move and the new distribution strategy for Korean SMEs to secure competitive advantage. Findings - First, in terms of 'Agility', in order to upgrade official distribution channels, which are currently at some competitive disadvantages compared to private distribution companies, we must quickly introduce technologies for the 4th industrial revolution, such as AI, Big Data, etc., and establish precise strategies to strengthen the capabilities of SMEs. Second, in terms of 'Benchmarking', the use of "Chamelezones" has been increasing to enhance the competitiveness of offline stores in line with recent ontact trends. Therefore, official distribution channels should also benchmark such cases, strengthening their competitiveness by utilizing offline spaces more efficiently and effectively. Third, in terms of 'Convergence', in line with the rapidly changing trend of the times, official distribution channels should also promote active partnerships with media commerce, e-commerce and ICT platforms, as well as cooperation with private retailers, and focus on creating synergy effects through them. Finally, from the perspective of 'Dedication', digitalization should be promoted step by step, finding the sector that can accelerate digital among the value chains of official distribution channels, and continuing to discuss how to digitize it realistically. Originality/value - Based on this analysis, we have presented strategies and implications for innovating official distribution channels for SMEs, which will contribute to enhancing the competitive advantage of official distribution channels in the post COVID-19 pandemic era.

Identification of Cardiovascular Disease Based on Echocardiography and Electrocardiogram Data Using the Decision Tree Classification Approach

  • Tb Ai Munandar;Sumiati;Vidila Rosalina
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.150-156
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    • 2023
  • For a doctor, diagnosing a patient's heart disease is not easy. It takes the ability and experience with high flying hours to be able to accurately diagnose the type of patient's heart disease based on the existing factors in the patient. Several studies have been carried out to develop tools to identify types of heart disease in patients. However, most only focus on the results of patient answers and lab results, the rest use only echocardiography data or electrocardiogram results. This research was conducted to test how accurate the results of the classification of heart disease by using two medical data, namely echocardiography and electrocardiogram. Three treatments were applied to the two medical data and analyzed using the decision tree approach. The first treatment was to build a classification model for types of heart disease based on echocardiography and electrocardiogram data, the second treatment only used echocardiography data and the third treatment only used electrocardiogram data. The results showed that the classification of types of heart disease in the first treatment had a higher level of accuracy than the second and third treatments. The accuracy level for the first, second and third treatment were 78.95%, 73.69% and 50%, respectively. This shows that in order to diagnose the type of patient's heart disease, it is advisable to look at the records of both the patient's medical data (echocardiography and electrocardiogram) to get an accurate level of diagnosis results that can be accounted for.

한국식단의 식품배합을 통한 단백질의 질적상승효과 (A Study on the Enhancement of Protein Quality by Food Combinations in Korean Diet)

  • 김성애;이양자;이기열
    • Journal of Nutrition and Health
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    • 제17권4호
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    • pp.262-272
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    • 1984
  • A study on the balance of essential amino acids in Korean diet and further investigation on quality of protein through optimum combination of foods using the least square method based on FAO/WHO (1973) provisional score patterns were carried out The results of the optimum gross combination are summarized as follows: 1) The first limiting amino acids of the Korean diet was found to be methionine and cysteine based on both whole egg and FAO/WHO (1973) provisional score patterns. 2) Weight ratios between rice and beef, chicken, pork, rabbit meat are 7 : 3, 4 : 1, 4 : 1, and 3 : 1. The amino acid score and the least amino acid are 100(phe+tyr), 99(thr), 111(trp), and 109(leu) for each combination. This result indicates that pork and rabbit meat can be high quality protein sources for the rice eating people. 3) Weight ratios between rice and anchovy, saury, ark shell, pollack, cuttle fish, tuna and herring are 2 : 1, 5 : 1, 3 : 2, 3 : 1, 3 : 1, 4 : 1, and 3 : 1. 4) Weight ratios between potato and rice, wheat flour are 8 : 1 and 24 : 1. Lysine, the limiting amino acid of rice and wheat flour can be complemented by combining these with potato. 5) It is possible to apply this idea on typical Korean dishes. For example, in case of soybean-sprout rice the optimum combinations of rice : soybean-sprout : pork and rice : soybean-sprout : beef are 4 : 1 : 1 and 11 : 1 : 5. It is of utmost importance to pursue further more desirable combinations with more complex food items and transform the result obtained by the computer analysis into more practical terms for practical use.

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시판 가공식품의 영양표시 실태 모니터링에 관한 연구 (Monitoring the Current Nutrition Labeling Practice on the Packaging of Processed Foods)

  • 김옥선;오세인;장영애
    • 한국식품조리과학회지
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    • 제21권5호
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    • pp.616-628
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    • 2005
  • The purpose of this study was to monitor the current nutrition labeling practice on the packaging of the processed foods providing consumers with reliable nutrition information, which has been considered as a useful aid for food selection and a potent educational tool for nutrition in a daily life. The 2,214 processed foods purchased at the a wholesale market in July, 2003, were divided by food categories issued from the 2003 food codes and assessed in the terms of the nutrition composition labeling and nutrition claims. Nutrition composition labeling was found on 533 out of the 2,214 processed foods items. The findings of this study were as follows : Milk and dairy products had 66.4% of nutrition composition labeling, which was the largest percentage among the food categories. Tables format (71.3%) is the most widely used type of nutrition labeling. The title of nutrition composition labeling used the most widely was nutrition composition (71.3%). Nutrition composition included many different ways of expression, such as a table of nutrition composition, and indication of nutrition composition, etc. The expression unit of the nutrition composition labeling was use per 100g or 100mL (40.5%). The processed foods with nutrition claims were 18.0% (399 items). Nutrition claims were divided into two categories: nutrient content claims and nutrient comparative claims. The most frequently used nutrient content claims were contained (43.9%) and more or plus in the nutrient comparative claims (16.0%). Ca was the most popular item as a nutrition claim nutrient (33.6%).

에지 투영의 유사도를 이용한 압축된 영상에 대한 Reduced-Reference 화질 평가 (Reduced-Reference Quality Assessment for Compressed Videos Based on the Similarity Measure of Edge Projections)

  • 김동오;박래홍;심동규
    • 대한전자공학회논문지SP
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    • 제45권3호
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    • pp.37-45
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    • 2008
  • 화질 평가는 원영상과 열화된 영상 간의 차이를 측정함으로써, 열화된 영상의 화질이 좋고 나쁨을 판단하는 것을 목표로 한다. 본 논문에서는 열화된 영상의 화질 평가를 위해, 원영상과 열화된 영상 전체를 비교하는 것 대신, 원영상과 열화된 영상, 각각의 특징으로 에지 투영을 이용하는 방법을 제안하였다. 여기서 에지 투영은 에지 맵에서 수직, 수평 방향으로 투영시킴으로써 얻을 수 있다. 에지 투영 시 수직, 수평 방향에 대한 그래디언트 크기를 고려함으로써, 보다 나은 화질 평가 방법을 제안하였다. 제안한 방법의 탁월함을 기존의 화질 평가 방법인 structural similarity(SSIM), edge peak signal-to-noise ratio(EPSNR), 그리고 edge histogram descriptor(EHD) 방법과 비교 실험을 통해 보였다.

A Detailed Review on Recognition of Plant Disease Using Intelligent Image Retrieval Techniques

  • Gulbir Singh;Kuldeep Kumar Yogi
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.77-90
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    • 2023
  • Today, crops face many characteristics/diseases. Insect damage is one of the main characteristics/diseases. Insecticides are not always effective because they can be toxic to some birds. It will also disrupt the natural food chain for animals. A common practice of plant scientists is to visually assess plant damage (leaves, stems) due to disease based on the percentage of disease. Plants suffer from various diseases at any stage of their development. For farmers and agricultural professionals, disease management is a critical issue that requires immediate attention. It requires urgent diagnosis and preventive measures to maintain quality and minimize losses. Many researchers have provided plant disease detection techniques to support rapid disease diagnosis. In this review paper, we mainly focus on artificial intelligence (AI) technology, image processing technology (IP), deep learning technology (DL), vector machine (SVM) technology, the network Convergent neuronal (CNN) content Detailed description of the identification of different types of diseases in tomato and potato plants based on image retrieval technology (CBIR). It also includes the various types of diseases that typically exist in tomato and potato. Content-based Image Retrieval (CBIR) technologies should be used as a supplementary tool to enhance search accuracy by encouraging you to access collections of extra knowledge so that it can be useful. CBIR systems mainly use colour, form, and texture as core features, such that they work on the first level of the lowest level. This is the most sophisticated methods used to diagnose diseases of tomato plants.

The Impact of Digital Transformation on Corporate Performance: Based on Shanghai and Shenzhen A-Share Listed Companies

  • Wang HuiJun;Tumennast Erdenebold
    • 아태비즈니스연구
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    • 제15권3호
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    • pp.17-45
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    • 2024
  • Purpose - This paper studies the impact of digital transformation on corporate performance based on the stakeholder and dynamic capability theories. Digital transformation is divided into digital technologies (big data, artificial intelligence, blockchain, and cloud computing) and digital technology practical applications. Corporate performance includes financial performance and non-financial performance. The mechanism of dynamic capabilities (innovation capability, absorptive capacity, and adaptive capacity) is further explored. Design/methodology/approach - A fixed-effects model is used to construct a panel data of China's Shanghai and Shenzhen A-share listed companies from 2011 to 2023, and Stata is used for empirical analysis. Findings - In general, digital transformation directly improves corporate performance and indirectly promotes corporate performance through dynamic capabilities (innovation, absorptive capacity, and adaptive capacity). After robustness and endogeneity tests, the conclusion still support. In terms of subdivision, the two dimensions of digital transformation and the practical application of digital technology have different effects on corporate financial performance and non-financial performance. Research implications or Originality - Theoretically, the mechanism of digital transformation on corporate performance is fully and deeply explored, filling the research gap whiting this study. Additionally, the model is constructed using the innovation, absorption and adaptability of dynamic capabilities, providing a different perspective. Practically, it helps to alleviate the current situation of some companies "not wanting to transform" or "not daring to transform", and also clarifies how digital transformation can help companies use dynamic capabilities to improve performance. It provides a decision-making basis for government departments to promote the integration of digital economy and real economy, so that digital transformation can better empower and release corporate performance, thereby promoting the development of China's economy.