• 제목/요약/키워드: Data Collection Period

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Modification of Microclimate to Improve Milk Production in Tropical Rainforest of Thailand

  • Suriyasathaporn, W.;Boonyayatra, S.;Kreausukon, K.;Pinyopummintr, T.;Heuer, C.
    • Asian-Australasian Journal of Animal Sciences
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    • 제19권6호
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    • pp.811-815
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    • 2006
  • The objective of this study was to evaluate the effect of electric fan installation for milk production improvement of dairy cattle in Thailand. The study was conducted using 2 small-holder dairy farms in Chiang Mai province, during April to August 2004. Electric fans were installed in front of each row of cows. Each of the two rows of cows in the barn was defined as an experimental unit, thus each farm had two experimental units. The fans were operated alternately in 7-day intervals between rows of cows within each farm during the day or between 8.00 am to 8.00 pm. Non-operation periods were used as control. Milk yields were recorded. Data on environmental temperature and humidity were obtained from Chiang Mai Meteorological Center. Result from statistically analysis of milk record suggested an interaction between lactation period and fan installation. Therefore, this interaction term of lactation period and fan installation (PERIOD_FAN) was added as a variable to the regression model. Due to the repeated data collection of milk yield from the same cow (alternate week), milk yield was analyzed by repeated measure analysis (Mixed model). Least square means were calculated for all levels and used to compare between each pair-wise values. The final data were collected from the total of 18 cows with 2,072 data. Overall means and SEM of milk yields and days in milk separated into farm were $14.7{\pm}0.06kg/day$ and $176.3{\pm}2.2days$, and $15.2{\pm}0.22kg/day$ and $202.5{\pm}3.7$ days for farm A and farm B, respectively. For multivariable analysis, only PERIOD_FAN and humidity were significantly associated with milk yield. Only the first period of lactation showed that the amount of milk yields during fan installation was higher than that of non-fan installation (p<0.05). Cows with fan installation produced approximately 1.2 kg/cow more milk than cows without fan installation during this period. In conclusion, the use of electric fan operated during the day time increased milk production of cows during the first period of lactation.

서울시 대기 중 수은농도의 장기변동 특성 1997~2002 (The Long-term Variation Patterns of Atmospheric Mercury in Seoul, Korea from 1997 to 2002)

  • 김민영;김기현
    • 한국대기환경학회지
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    • 제19권2호
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    • pp.179-189
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    • 2003
  • The concentration of gaseous elemental mercury (Hg) was measured concurrently with relevant environmental parameters from Yang-Jae monitoring station in Seoul during Sept. 1997 to June 2002. Although data collection was disrupted for certain periods, the grand mean concentration of Hg for this five year period was found at 5.32 $\pm$ 3.53 ng m$^{-3}$ (N = 27,170). Because of short resolution of data acquisition, we were able to examine the temporal variability of Hg at varying time scale. The diurnal variability of Hg, when investigated for each of those five years, indicated consistently the dominance of nighttime over daytime. If examined at seasonal scale, Hg level was systematically higher during winter/spring than summer/fall period. The results of this short-term variability were best explained by the combined effects of such factors as meteorological conditions (formation of inversion layer and seasonal changes) and anthropogenic source processes. However, examination of long-term variation Pattern was much more complicated to explain. Thus, extension of our study is needed to diagnose the future direction in long-term trend of Hg behavior.

부인암 여성의 성기능 예측요인 (A Study on the Predictive Factors of Sexual Function in Women with Gynecologic Cancer)

  • 박정숙;장순양
    • 종양간호연구
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    • 제12권2호
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    • pp.156-165
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    • 2012
  • Purpose: This study was to identify predictors of sexual function in gynecologic cancer patients. Methods: The participants were 154 patients treated at a university medical center in A city, Korea. The data collection was performed through a structured questionnaire from July to December, 2010. The instruments used in this study were Female Sexual Function Index (FSFI) perceived health status scale, Eastern Cooperative Oncology Group (ECOG) performance status, body image, and depression. Data were analyzed using descriptive statistics, Mann-Whitney test, Kruskal-Wallis test and stepwise multiple regression with the SPSS 18.0. Results: The mean score of perceived health status was 8.42 and sexual function was 8.42. The lowest score among sexual function was lubrication. The scores of sexual function was significantly different by age, job, marital status, period after diagnosis of cancer and diagnosis. There were significant correlations between sexual function, perceived health status, ECOG performance, body image and depression. In multiple regression analysis, predictors were identified as ECOG performance, age, diagnosis and period after diagnosis of cancer (Adj.$R^2$=.28). The most powerful predictor of female sexual function was ECOG performance (19.0%). Conclusion: The above findings indicate that it is necessary to develop a more effective and personalized sexual function improvement program for gynecologic cancer patient.

중증 선천성 심질환 아동 어머니의 양육경험 (Child Rearing Experience Among Mothers of Children with Severe CHD)

  • 조경미
    • Child Health Nursing Research
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    • 제13권4호
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    • pp.454-466
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    • 2007
  • Purpose: To explore the experiences of parenting from the mothers of children with severe CHD and to develop a grounded theory about their experiences. Method: Grounded theory method guided the data collection and analysis. A purposeful sample of 16 mothers of children with severe CHD participated during the period 2003. The data were collected by semi-structured individual interviews. Results: "Raise with dignity" emerged as the core phenomenon. 'Powerlessness' came up as the central concept. The causal conditions working on powerlessness was 'living with a bomb in the heart': uncertainty and the context were 'confronting people's eyes', 'developing child's adaptability'. An intervening condition was 'forming a support system' and consequences for coping with powerlessness were 'overcome' or 'ambivalence' using the strategies for mother's positive personality, care role perception, accepting, acknowledgement, and managing the body and mind. Conclusions: In the results of this study, the mothers of children with severe CHD are continue to struggle with life during children's growth and repeated attacks of disease. They need to be provided with skills to cope with physical and mental problems in rearing the children with expertized information for the entire period of growth.

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Method for Composing a Portfolio for REITs Investment Using Markowitz's Portfolio Model

  • Lee, Chi-Joo;Lee, Ghang;Won, Jong-Sung
    • Journal of Construction Engineering and Project Management
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    • 제1권3호
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    • pp.28-37
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    • 2011
  • Domestic construction companies are suffering from financing difficulties in the wake of the economic slump in Korea and abroad. During this economic slump, real estate investment trusts (REITs), facilitators for improving financing and stimulating construction businesses, have increasingly expanded since their introduction in 2001. However, in terms of growth speed and marketing size, Korean REITs are falling behind those of other nations. The purpose of this study is to suggest a method for composing a portfolio using the Markowitz portfolio selection model to stimulate REITs. The main contents are as follows. First, a comparative analysis was conducted of increased REIT profit with the application of the Markowitz model and the average REIT profit rate from July 3, 2007, to July 21, 2008, during the investment analysis periods. The results showed that the total profit rate from the Markowitz model was about 10% higher than the average REIT profit rate. Second, the sensitivity was analyzed according to the portfolio's data-gathering and replacement cycle to measure the optimum cycle and yield. The six-mouth profit data collection period showed about 16% higher profits with the Markowitz model than with the REITs. The two-week portfolio change period resulted in about 11% higher profits with the Markowitz model than with the REITs.

조선시대의 재난 데이타베이스 구축 및 대응에 관한 연구 (A Study on the Database of Disasters and Disaster Technologies in the Joseon Dynasty Era)

  • 이지희;방용
    • 한국안전학회지
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    • 제28권1호
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    • pp.137-143
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    • 2013
  • Cultural heritage passing down to posterity is a global concern. But there are many culture heritage that not remained to now disappeared by various disasters. It is told that disaster is learnt from disaster. The most fundamental task in disaster prevention is to collect and analyze cases of accidents so as not to repeat a disaster. In other words, an analysis of various disaster-related materials and their countermeasures in the Joseon period is an actual condition-based phenomenological methodology used to prevent disasters at cultural properties today. In this context, it is important to collect histories of disasters in the Joseon period, to extract disaster-related historical data and to categorize the data to build a disaster literature database. This study has produced [Database of Disasters in the Joseon Era], a collection of articles on fire outbreaks based on The Annals and The Daily Records belonging to the Memory of the World. On the basis of this chronology, human and property damages caused by fires in Joseon have been examined, identified by districts, as well as disaster technologies, have been analyzed. It has also built disaster vulnerability maps in the Joseon Dynasty Era.

효과적인 웹 사용자의 패턴 분석을 위한 하둡 시스템의 웹 로그 분석 방안 (A Method for Analyzing Web Log of the Hadoop System for Analyzing a Effective Pattern of Web Users)

  • 이병주;권정숙;고기철;최용락
    • 한국IT서비스학회지
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    • 제13권4호
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    • pp.231-243
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    • 2014
  • Of the various data that corporations can approach, web log data are important data that correspond to data analysis to implement customer relations management strategies. As the volume of approachable data has increased exponentially due to the Internet and popularization of smart phone, web log data have also increased a lot. As a result, it has become difficult to expand storage to process large amounts of web logs data flexibly and extremely hard to implement a system capable of categorizing, analyzing, and processing web log data accumulated over a long period of time. This study thus set out to apply Hadoop, a distributed processing system that had recently come into the spotlight for its capacity of processing large volumes of data, and propose an efficient analysis plan for large amounts of web log. The study checked the forms of web log by the effective web log collection methods and the web log levels by using Hadoop and proposed analysis techniques and Hadoop organization designs accordingly. The present study resolved the difficulty with processing large amounts of web log data and proposed the activity patterns of users through web log analysis, thus demonstrating its advantages as a new means of marketing.

빅데이터 분석을 통한 한국과 미국의 스타벅스 비교 분석 (A Comparison of Starbucks between South Korea and U.S.A. through Big Data Analysis)

  • 조아라;김학선
    • 한국조리학회지
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    • 제23권8호
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    • pp.195-205
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    • 2017
  • The purpose of this study was to compare the Starbucks in South Korea with Starbucks in U.S.A through the semantic network analysis of big data by collecting online data with SCTM(Smart Crawling & Text Mining) program which was developed by big data research institute at Kyungsung University, a data collecting and processing program. The data collection period was from January 1st 2014 to December 7th 2017, and packaged Netdraw along with UCINET 6.0 were utilized for data analysis and visualization. After performing CONCOR(convergence of iterated correlation) analysis and centrality analysis, this study illustrated the current characteristics of Starbucks for Korea and U.S.A reflected by the social network and the differences between Korea and U.S.A. Since the Starbucks was greatly developed, especially in Korea. this study also was supposed to provide significant and social-network oriented suggestions for Starbucks USA, Starbucks Korea and also the whole coffee industry. Also this study revealed that big data analytics can generate new insights into variables that have been extensively studied in existing hospitality literature. In addition, implications for theory and practice as well as directions for future research are discussed.

The Arrival of the Industry 4.0 and the Importance of Corporate Big Data Utilization

  • AN, Haeri
    • 동아시아경상학회지
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    • 제10권2호
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    • pp.105-113
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    • 2022
  • Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.

인구동태조사 개선을 위한 방법론적 고찰 (A Study on Vital Statistics Survey : its Type, Source of Errors and Improvement Scheme)

  • 김일현;최봉호
    • 한국인구학
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    • 제12권1호
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    • pp.19-29
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    • 1989
  • It is well known that vital statistics is of great importance as basic data for establishing various range of national policies. Especially, vital statistics is important among demographic information for monitoring and evaluating the population policy, for constructing life table, for making population projection, and for studying various aspects of the society. In principle, the production of vital statistics is based on the registration system. It is, however, still observed that there are some limitations in utilizing fully the registration system due to the inherent problems such as problems in its coverage, accuracies and timeliness. Thus, as an alternative, many countries conduct survey on vital statistics in order to supplement the registration system and obtain in-depth data. Korea is no exception in this aspect. The National Bureau of Statistics carries out the so-called Continuous Demographic Survey. This is a kind of multi-round retrospective survey, covering 32, 000 households and having reference period of one month. The survey has also characteristics of multi-subject sample. Thus, surveys on economic activity status of population, house-hold income & expenditure, and social indicators are together conducted with the same sample. It is, however, found that the survey itself tends to have some quality problems. Especially, the quality problems connected with field data collection are summarized as coverage error, non-response error and response error. Although it is inevitable not to be free from these errors, we should make all our efforts to reduce the errors. The probable schemes pointed out in this paper are as follows : 1) the strengthening formal quality control activities, 2) the review of the survey method, i. e., the combining interview method with mail-sending and mail-back method or pick-up method, 3) well documentation for various cases found in every stage of data collection, and 4) the strengthening the analytical activities. It is, also, emphasized that sincerity of planners and interviewers is the most important factor among other things.

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