• Korean Journal of Health Education and Promotion
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• v.17 no.1
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• pp.131-154
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• 2000

This study was conducted to provide basic data for development of public information program and public policy which could prevent the medicine abuse in Korea, examining the level of knowledge of medicine and its related factors. Data were collected from the 2,011 residents who live in mtropolitan cities, large-sized cities, small and medium cities, and small towns The results of this study are summarized as follows. 1) In case of purchasing of medicines in pharmacy, 67.3％ of the respondents chose the medicines through recommendations of the professionals such as pharmacists and doctors, while 32.7％ of the respondents chose the medicine through self-judgement, advertizing, or recommendation of relative. 2) 64.7％ of the respondents obtained the information on medicines through TV. It appeared to be higher in the groups of female of the twenties, the unmarred, a brother and sister threesome, highschool graduates, housewives, residents in small and medium cities, atheists, and the middle class, displaying the significant difference from the other groups. 3) 40.5％ of the respondents recognized the side effect of the medicine when they took the medicine, while 34.4％ did not recognize it. The rate of experience in the side effect was 39.7％. The informations on the medicine abuse and the risk of addiction were obtained through broadcast media (47.9％), publications (12.1％), and health professionals (11.6％). 4) 81.1％ of the respondents experienced taking of the fatigue relieving medicine. The experience in taking of the fatigue relieving medicine appeared to be higher in the groups of the forties. the married. a brother and sister threesome. highschool graduates. persons engaging in farming, livestock raising, and forestry, the residents in small towns, and Christians. Each group displayed the significant difference from the other groups. 5) According to the level of knowledge of medicines, the respondents marked average 11.7 ± 3.76 points on the base of 24 points. It appeared to be higher in the groups of female of the twenties, a brother and sister foursome, college graduates, teachers, Catholics, and the middle class, displays the significant difference from the other groups. 6) According to the experience in taking of health medicine and health food, 81.1％ of respondents had the experience in taking ‘the fatigue relieving medicine’; 72.4％ ‘carrot or vegetable juice’; 69.5％ ‘ginseng’; 63.0％ ‘mushroom’; 42.5％ ‘dog meat’; 38.0％ ‘aloe’; 36.4 ‘deer antlers’; 11.4％ ‘snake’; 2.0％ ‘the penis of a fur seal’. 7) The factors influencing the level of knowledge of medicine include experiences in taking of the tonic, the fatigue relieving medicine, and the nutritive medicine, economic status, the number of brothers and sisters, education level, marital status, father's education level, and age. The factors influencing the experience in side effect of medicine are experiences in taking of the fatigue relieving medicine, the nutritive medicine, and the tonic, sex, age, education level, father's education level, marital status, economic status, religion, and the number of brothers and sisters. In conclusion, it is estimated that the level of knowledge of medicines is significantly low in Korea. Especially, it is found out that workmen, students, the upper class, the class of low education level, and persons engaging in farming, livestock raising, and forestry neglect importance of knowledge of medicine. Therefore, it is necessary for public authority, associations related, and health professionals to develop programs for public information and education to help people obtain basic knowledge of medicine.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.147-161
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• 2010

As broadcasting and communication are converged recently, communication is jointed to TV. TV viewing has brought about many changes. The IPTV (Internet Protocol Television) provides information service, movie contents, broadcast, etc. through internet with live programs + VOD (Video on demand) jointed. Using communication network, it becomes an issue of new business. In addition, new technical issues have been created by imaging technology for the service, networking technology without video cuts, security technologies to protect copyright, etc. Through this IPTV network, users can watch their desired programs when they want. However, IPTV has difficulties in search approach, menu approach, or finding programs. Menu approach spends a lot of time in approaching programs desired. Search approach can't be found when title, genre, name of actors, etc. are not known. In addition, inserting letters through remote control have problems. However, the bigger problem is that many times users are not usually ware of the services they use. Thus, to resolve difficulties when selecting VOD service in IPTV, a personalized service is recommended, which enhance users' satisfaction and use your time, efficiently. This paper provides appropriate programs which are fit to individuals not to save time in order to solve IPTV's shortcomings through filtering and recommendation-related system. The proposed recommendation system collects TV program information, the user's preferred program genres and detailed genre, channel, watching program, and information on viewing time based on individual records of watching IPTV. To look for these kinds of similarities, similarities can be compared by using ontology for TV programs. The reason to use these is because the distance of program can be measured by the similarity comparison. TV program ontology we are using is one extracted from TV-Anytime metadata which represents semantic nature. Also, ontology expresses the contents and features in figures. Through world net, vocabulary similarity is determined. All the words described on the programs are expanded into upper and lower classes for word similarity decision. The average of described key words was measured. The criterion of distance calculated ties similar programs through K-medoids dividing method. K-medoids dividing method is a dividing way to divide classified groups into ones with similar characteristics. This K-medoids method sets K-unit representative objects. Here, distance from representative object sets temporary distance and colonize it. Through algorithm, when the initial n-unit objects are tried to be divided into K-units. The optimal object must be found through repeated trials after selecting representative object temporarily. Through this course, similar programs must be colonized. Selecting programs through group analysis, weight should be given to the recommendation. The way to provide weight with recommendation is as the follows. When each group recommends programs, similar programs near representative objects will be recommended to users. The formula to calculate the distance is same as measure similar distance. It will be a basic figure which determines the rankings of recommended programs. Weight is used to calculate the number of watching lists. As the more programs are, the higher weight will be loaded. This is defined as cluster weight. Through this, sub-TV programs which are representative of the groups must be selected. The final TV programs ranks must be determined. However, the group-representative TV programs include errors. Therefore, weights must be added to TV program viewing preference. They must determine the finalranks.Based on this, our customers prefer proposed to recommend contents. So, based on the proposed method this paper suggested, experiment was carried out in controlled environment. Through experiment, the superiority of the proposed method is shown, compared to existing ways.