• Title/Summary/Keyword: 주인-대리인

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1세포기 닭 수정란의 체외배양과 대리난각 배양에 있어서 수정란의 조건과 대리난각의 조건이 부화율에 미치는 영향

  • 이지현;김이헌;강영란;신귀인;박해진;오세태;유이식;장원경;김창근
    • Proceedings of the KSAR Conference
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    • 2003.06a
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    • pp.70-70
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    • 2003
  • 조류의 배자는 포유류의 배자처럼 모체로부터 영양분을 공급받는 것이 아니라 알속에 저장되어 있는 영양물질로 발육한다. 배자의 발육은 대부분 체외에서 진행된다. 난자는 배란된 후 수정되어 난관팽대부에서 1세포기 수정란이 된다. 그 후 난관협부로 이동하여 최초로 분열이 일어나 배자의 발육이 진행되고, 산란시에는 세포수가 약6만여 개에 달한다. 따라서 수정란에 유전조작기법을 사용하기 위해서는 모체의 난관속에서 일어나는 배발생과 난각속에서 일어나는 개체발생을 위한 체외배양법과 대리난각 배양법이 확립되어 있어야 한다. 그와 같은 기술은 닭 수정란의 배 발생 관찰 및 분석과 유용한 물질을 생산하기 위한 형질전환 가금 연구에 중요한 기술로 사용되고 있다. 따라서 본 연구는 1세포기 닭 수정란의 체외배양과 대리난각 배양에 있어서 수정란의 조건과 대리난각의 조건이 배자의 생존율과 부화율에 미치는 영향을 조사하여 체외배양과 대리난각 배양에 의한 병아리 생산 효율을 제고하기 위한 기초자료를 얻고자 실시하였다. 주요 조사 항목은 수정란의 채란위치, 배자의 발생단계, 수정란의 무게, 대리난각용 계란의 보존 기간, 대리난각의 두께, 대리난각 두께의 감소율, 대리난각의 크기 등을 조사하여 배자의 생존율과 부화율에 미치는 영향에 대하여 조사하였다. 본 실험의 결과는 초기 발생이 빠른 배자가 생존율과 부화율이 높았으며, 본 실험에 사용한 대리난각용 계란의 보관기간이 짧을수록 배자의 생존율과 부화율이 높은 것으로 조사되었다(p<0.05). 그러나 대리난각용 계란의 크기와 대리난각의 두께 차이는 배자의 생존율과 부화율에 큰 영향이 없는 것으로 조사되었다.하였을 때 분할율은 68.0%였으며, 이중 12.0%가 상실배 또는 배반포로 발달하였다. 뿐만 아니라 10% FBS가 첨가된 TCM-199 배양액에 난관상피세포와 공배양을 실시하였을 경우는 72.0%가 분할하였으며, 이중 16.7%가 상실배 또는 배반포로 발달하였다. 이상의 결과로 볼 때 활성화 처리는 ionomycin과 6-DMAP 용액처리가 적합하며, 단위발생란의 체외배양은 보다 적합한 배양조건의 확립이 필요한 것으로 생각된다.icalcium lactate 공동배양은 체외배양에 별다른 영향을 미치지 못하는 것으로 나타났다.생산하는 것을 확인할 수 있었다.4시간에 등급별 회수율이 각각 GI(27.4%), GII(14.7%), GIII(43.2%), GIV(14.7%)로 나타났으며, 46~50시간에는 GI(12.0%), GII(12.0%), GIII(28.0%), GIV(48.0%)로 나타났다. 이상의 결과로 볼 때 미성숙 난자의 회수는 hCG 투여 후 29~34시간이 적합한 것으로 생각된다. 가금의 생산에 있어서 매우 효율적이고 주목할 만한 방법으로 사료된다. 것으로 나타났다.적외선.열풍 복합건조방법이 높게 나타나 이것은 곡물 표면에 원적외선 방사에의한 복사열이 전달되어 열장해를 받았기 때문으로 판단되며, 금후 더 연구하여 적정 열풍온도 및 방사체 크기를 구명해야 할 것이다.으로 보여진다 따라서 옻나무 유래 F는 포유동물의 생식기능에 중요하게 작용하는 것으로 사료된다.된다.정량 분석한 결과이다. 시편의 조성은 33.6 at% U, 66.4 at% O의 결과를 얻었다. 산화물 핵연료의 표면 관찰 및 정량 분석 시험시 시편 표면을 전도

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Research on Characterizing Urban Color Analysis based on Tourists-Shared Photos and Machine Learning - Focused on Dali City, China - (관광객 공유한 사진 및 머신 러닝을 활용한 도시 색채 특성 분석 연구 - 중국 대리시를 대상으로 -)

  • Yin, Xiaoyan;Jung, Taeyeol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.2
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    • pp.39-50
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    • 2024
  • Color is an essential visual element that has a significant impact on the formation of a city's image and people's perceptions. Quantitative analysis of color in urban environments is a complex process that has been difficult to implement in the past. However, with recent rapid advances in Machine Learning, it has become possible to analyze city colors using photos shared by tourists. This study selected Dali City, a popular tourist destination in China, as a case study. Photos of Dali City shared by tourists were collected, and a method to measure large-scale city colors was explored by combining machine learning techniques. Specifically, the DeepLabv3+ model was first applied to perform a semantic segmentation of tourist sharing photos based on the ADE20k dataset, thereby separating artificial elements in the photos. Next, the K-means clustering algorithm was used to extract colors from the artificial elements in Dali City, and an adjacency matrix was constructed to analyze the correlations between the dominant colors. The research results indicate that the main color of the artificial elements in Dali City has the highest percentage of orange-grey. Furthermore, gray tones are often used in combination with other colors. The results indicated that local ethnic and Buddhist cultures influence the color characteristics of artificial elements in Dali City. This research provides a new method of color analysis, and the results not only help Dali City to shape an urban color image that meets the expectations of tourists but also provide reference materials for future urban color planning in Dali City.

The political economy analysis of the mobile phone subsidy (이동통신 보조금의 정치경제학적 분석)

  • Shin, Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.8
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    • pp.1893-1900
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    • 2015
  • The government has the responsibility to prevent abuses of monopoly and promote competition in order to maximize consumer welfare. The government should address the asymmetry in the information as much as possible and ensure consumer choice. The subsidy seems to reduce the burden on the consumer service charges and handset prices but it actually distorts the market through price discrimination. The government caused the principal-agent problem by neglecting their appropriate role to prevent distortion of the mobile telecom market. The money used as subsidy is part of excess profit and could be transferred to down the price of mobile phone and charges and it would become a benefit to consumers. Separate announcement of subsidies by Mobile Communications Terminal Distribution Structure Improvement Act is a little developed policy but it was not actually realized. The market price close to that from perfect competition structure is plausible, ultimately.

The political economy analysis of the mobile phone subsidy (이동통신 보조금의 정치 경제학적 분석)

  • Shin, Jin;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.933-936
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    • 2014
  • The government has the duty to prevent abuses of monopoly and promote competition in order to maximize consumer welfare. In order to promote competition we have to address the asymmetry in the information as possible and to ensure consumer choice. The subsidy seems to reduce the burden on the consumer service charges and handset prices but it virtually distort the market through price discrimination. The government caused the principal-agent problem by avoiding their appropriate role to prevent distortion of the mobile telecom market. The money used as subsidy could be transferred to down the price of cell phone and charges and it would be a benefit to consumers. Separate notice of subsidies by Mobile Communications Terminal Distribution Structure Improvement Act is a developed policy but it was too late. It, the market price close to that from perfect competition structure, is plausible, ultimately.

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A Study on the Information Privacy Concerns in Social Log-in Service

  • Kim, Yujin;Lee, Hyung-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.1
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    • pp.193-200
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    • 2022
  • In this paper, we examined the causes of privacy concerns and related factors in social log-in services. On the basis of the 'principal-agent theory,' we established factors such as perceived information asymmetry and fear of seller opportunism affecting information privacy concern of social log-in services users. In addition, we analyzed the relationship between the information privacy concern and intention to use on the basis of the 'privacy calculus theory'. The results of the study showed that (1) fear of seller opportunism had the significant effect on information privacy concerns, (2) information privacy concerns had the significant effect on perceived risk, (3) in accordance with the privacy calculus theory, perceived risk had the negative effect on intention to use, while perceived benefit had the positive effect on intention to use. The findings of the study are expected to help to improve the social log-in service firms' understanding for customers' information privacy protection behaviors.

A Study on Methodology for Improving Demand Forecasting Models in the Designated Driver Service Market (대리운전 시장의 지역별 수요 예측 모형의 성능 향상을 위한 방법론 연구)

  • Min-Seop Kim;Ki-Kun Park;Jae-Hyeon Heo;Jae-Eun Kwon;Hye-Rim Bae
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.23-34
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    • 2023
  • Nowadays, the Designated Driver Services employ dynamic pricing, which adapts in real-time based on nearby driver availability, service user volume, and current weather conditions during the user's request. The uncertain volatility is the main cause of price increases, leading to customer attrition and service refusal from driver. To make a good Designated Driver Services, development of a demand forecasting model is required. In this study, we propose developing a demand forecasting model using data from the Designated Driver Service by considering normal and peak periods, such as rush hour and rush day, as prior knowledge to enhance the model performance. We propose a new methodology called Time-Series with Conditional Probability(TSCP), which combines conditional probability and time-series models to enhance performance. Extensive experiments have been conducted with real Designated Driver Service data, and the result demonstrated that our method outperforms the existing time-series models such as SARIMA, Prophet. Therefore, our study can be considered for decision-making to facilitate proactive response in Designated Driver Services.