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유우(乳牛)의 Trypanosoma에 관(關)한 조사(調査)
김창기,Kim, Chang Ki 대한수의학회 1974 大韓獸醫學會誌 Vol.14 No.2
1. The length of Trypanossoma was $20{\sim}40{\mu}m$ (including flagellum) in dairy cattle in Korea, 2. Crithidia of Trypanosoma was found out in the head of depressed Tabanid fly and 77% in the flies. 3. The Trypanosoma in the tryptose blood agar was changed its form from 6 weeks after cultivation. 4. Infectious rate of Trypanosoma in dairy cattle was the same as in Korean cattle. 5. Infectious rate of Trypanosoma in dairy cattle was higher in summer than in winter. 6. No Trypanosoma was found in the blood from the jugular vein of calves born in winter. 7. Erythrocyte increased while leukocyte decreased in nummber in the blood of the cattle infected with Trypanosoma.
계(鷄)의 거세(去勢)에 관(關)한 연구(硏究) 제(第)1보(報) 부분거세(部分去勢) 및 Diethylstilbestrol이 계추(鷄雛)에 미치는 영향(影響)
김창기,Kim, Chang Ki 대한수의학회 1974 大韓獸醫學會誌 Vol.14 No.2
This experiment was carried out for 42 days to investigate the effect of caponizing and diethylstilbestrol (DES) on body weight gain, rate of feed conversion, weight of carcass and percentage of dressing in young chickens. The chickens used were 128 male Hamphorn of 30 days old. In the body weight gain of chickens, control group was higher than the other groups (P<0.01); $T_1$ group was the lowest group. Rate of feed conversion of control group was higher than $T_2$ and $T_3$ groups.
댓글 분석을 통한 19대 한국 대선 후보 이슈 파악 및 득표율 예측
서대호(Dae-Ho Seo),김지호(Ji-Ho Kim),김창기(Chang-Ki Kim) 한국지능정보시스템학회 2018 지능정보연구 Vol.24 No.3
With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public`s reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate`s topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.
ERP 도입 후 사용자 만족도 향상을 위한 변화관리 모형에 관한 연구: A사 사례를 중심으로
신현식 ( Hyun Sik Shin ),송용욱 ( Yong Uk Song ),김창기 ( Chang Ki Kim ) 한국정보시스템학회 2010 情報시스템硏究 Vol.19 No.2
This article identifies factors affecting successful ERP systems by focusing on the stages after stabilizing ERP systems and overcoming temporary performance dip by introduction of ERP systems, and suggests change management tactics to control those identified factors. We can not expect that every users are familiar with the usage of an ERP system even after they are informed about the expected advantage of the newly implemented ERP system and trained intensively for changed business process and system usage while implementing a new ERP system. Moreover, even after more than six months usage of the system, the users may still have some trouble due to the reason why they have insufficient information about the expected advantage of the system (recognition gap) and insufficient knowledge about the changed usage of the system (knowledge gap). Hence, this article diagnoses by conducting a case study that those recognition and knowledge gap would have a severe bad influence upon the users` trust and satisfaction on ERP systems. This article suggests an appropriate change management tactics to overcome those recognition and knowledge gap by considering the relationship with the efforts for change management before, during, and after the introduction of ERP systems and performing an in-depth analysis on the users` dissatisfaction and request for update during the stages after the stabilization of the ERP systems. This article also shows a corroborative evidence that these efforts of change management consequently contributes to the solution of users` distrust and dissatisfaction. In sum, this article identifies the factors influencing badly on the magnitude and seriousness of knowledge and recognition gap, and suggests a conceptual research model which says that the satisfaction of ERP users could be uplifted by the solution of their knowledge and recognition gap if we keep making efforts on appropriate change management considering those identified factors during the stages after the stabilization of an ERP system.