• Journal of Preventive Medicine and Public Health
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• v.32 no.1
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• pp.30-39
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• 1999

Objectives. This study was carried out to evaluate hearing impairment judgement and to investigate the differences in various diagnostic criteria for noise-induced hearing loss (NIHL) among workers who required for close observation (C). Methods. Out of 731,029 workers who had taken the specific periodic health examination in 1994, we used the audiometric data on 37,999 workers (C) eliminating the employees who had previous otologic problems. Many investigators have being using different criteria for the evaluation of hearing impairment. In this study, we used the criteria of early (1989-1994), current, compensation for NIHL in Korea, 2-, 3-, 4-divided classification and hearing loss at 4,000 Hz and compared the evaluation results. Results. The prevalences of C and workers who had occupational disease $(D_1)$ diagnosed for NIHL were 11.1 % and 0.44 %. There were significant difference in the prevalences of C and $D_1$, depending on different province of Korea. Pure tone averages (PTAs) were not appropriately applied in their evaluation 97% of workers whom we studied on were below the level of mild hearing loss judged by ISO standard. However, there were wide variations in the prevalence rate of mild hearing loss by diagnostic criteria. Thus, there were different judgements in determining the degree of NIHL depending on which diagnostic criteria were utilized. PTAs were found 20.54 (Rt) and 20.74 (Lt) when the method of 3-divided classification was applied for audiometric data. The degree of hearing impairment of the left ear was more severe than that of right ear. The prevalence of normal hearing threshold below 20 dB was 75.4% and the range of difference in both ear was below 10 dB. Right sided hearing threshold levels were 21.08 dB (500 Hz), 18.44 dB (1,000 Hz), 22.09 (2,000 Hz) and 52.36 dB (4,000 Hz). There was typical high frequency loss (C5-dip at 4,000 Hz) above 30 - 40 dB in normal hearing level. The increasing trend in hearing threshold level was gradually decreased by the increase of PTAs. The difference between PTAs and threshold at 4,000 Hz was about 10 dB. Conclusions. We could found that PTAs in the previous examination were not appropriately evaluated. This study revealed that they did not use unique criteria for managing the workers of NIHL. For the prevention of NIHL, it was found that the quality control on diagnosis and comprehensive management program were required, especially for those of hearing loss (C).

• Asia pacific journal of information systems
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• v.22 no.1
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• pp.29-52
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• 2012

Consumers differ in the way they make a purchase. An audio mania would willingly make a bold, yet serious, decision to buy a top-of-the-line home theater system, while he is not interested in replacing his two-decade-old shabby car. On the contrary, an automobile enthusiast wouldn't mind spending forty thousand dollars to buy a new Jaguar convertible, yet cares little about his junky component system. It is product involvement that helps us explain such differences among individuals in the purchase style. Product involvement refers to the extent to which a product is perceived to be important to a consumer (Zaichkowsky, 2001). Product involvement is an important factor that strongly influences consumer's purchase decision-making process, and thus has been of prime interest to consumer behavior researchers. Furthermore, researchers found that involvement is closely related to perceived risk (Dholakia, 2001). While abundant research exists addressing how product involvement relates to overall perceived risk, little attention has been paid to the relationship between involvement and different types of perceived risk in an electronic commerce setting. Given that perceived risk can be a substantial barrier to the online purchase (Jarvenpaa, 2000), research addressing such an issue will offer useful implications on what specific types of perceived risk an online firm should focus on mitigating if it is to increase sales to a fullest potential. Meanwhile, past research has focused on such consumer responses as information search and dissemination as a consequence of involvement, neglecting other behavioral responses like online merchant selection. For one example, will a consumer seriously considering the purchase of a pricey Guzzi bag perceive a great degree of risk associated with online buying and therefore choose to buy it from a digital storefront rather than from an online marketplace to mitigate risk? Will a consumer require greater trust on the part of the online merchant when the perceived risk of online buying is rather high? We intend to find answers to these research questions through an empirical study. This paper explores the impact of enduring product involvement and perceived risks on required trust level, and further on online merchant choice. For the purpose of the research, five types or components of perceived risk are taken into consideration, including financial, performance, delivery, psychological, and social risks. A research model has been built around the constructs under consideration, and 12 hypotheses have been developed based on the research model to examine the relationships between enduring involvement and five components of perceived risk, between five components of perceived risk and required trust level, between enduring involvement and required trust level, and finally between required trust level and preference toward an e-tailer. To attain our research objectives, we conducted an empirical analysis consisting of two phases of data collection: a pilot test and main survey. The pilot test was conducted using 25 college students to ensure that the questionnaire items are clear and straightforward. Then the main survey was conducted using 295 college students at a major university for nine days between December 13, 2010 and December 21, 2010. The measures employed to test the model included eight constructs: (1) enduring involvement, (2) financial risk, (3) performance risk, (4) delivery risk, (5) psychological risk, (6) social risk, (7) required trust level, (8) preference toward an e-tailer. The statistical package, SPSS 17.0, was used to test the internal consistency among the items within the individual measures. Based on the Cronbach's ${\alpha}$ coefficients of the individual measure, the reliability of all the variables is supported. Meanwhile, the Amos 18.0 package was employed to perform a confirmatory factor analysis designed to assess the unidimensionality of the measures. The goodness of fit for the measurement model was satisfied. Unidimensionality was tested using convergent, discriminant, and nomological validity. The statistical evidences proved that the three types of validity were all satisfied. Now the structured equation modeling technique was used to analyze the individual paths along the relationships among the research constructs. The results indicated that enduring involvement has significant positive relationships with all the five components of perceived risk, while only performance risk is significantly related to trust level required by consumers for purchase. It can be inferred from the findings that product performance problems are mostly likely to occur when a merchant behaves in an opportunistic manner. Positive relationships were also found between involvement and required trust level and between required trust level and online merchant choice. Enduring involvement is concerned with the pleasure a consumer derives from a product class and/or with the desire for knowledge for the product class, and thus is likely to motivate the consumer to look for ways of mitigating perceived risk by requiring a higher level of trust on the part of the online merchant. Likewise, a consumer requiring a high level of trust on the merchant will choose a digital storefront rather than an e-marketplace, since a digital storefront is believed to be trustworthier than an e-marketplace, as it fulfills orders by itself rather than acting as an intermediary. The findings of the present research provide both academic and practical implications. The first academic implication is that enduring product involvement is a strong motivator of consumer responses, especially the selection of a merchant, in the context of electronic shopping. Secondly, academicians are advised to pay attention to the finding that an individual component or type of perceived risk can be used as an important research construct, since it would allow one to pinpoint the specific types of risk that are influenced by antecedents or that influence consequents. Meanwhile, our research provides implications useful for online merchants (both online storefronts and e-marketplaces). Merchants may develop strategies to attract consumers by managing perceived performance risk involved in purchase decisions, since it was found to have significant positive relationship with the level of trust required by a consumer on the part of the merchant. One way to manage performance risk would be to thoroughly examine the product before shipping to ensure that it has no deficiencies or flaws. Secondly, digital storefronts are advised to focus on symbolic goods (e.g., cars, cell phones, fashion outfits, and handbags) in which consumers are relatively more involved than others, whereas e- marketplaces should put their emphasis on non-symbolic goods (e.g., drinks, books, MP3 players, and bike accessories).

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• Journal of Korean Home Economics Education Association
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• v.27 no.1
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• pp.85-109
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• 2015

The purposes of this study were to analyze the duplicated contents of 'family life' unit of home economics and other subject textbooks for the middle school students. It focused on the 'family life' area in the home economics textbook compiled following the 2009 revised curriculum, and textbooks of other subjects compiled in the same period. To achieve the purpose of this study, "Home economics I II", "Ethics I II", "Social studies I II", "Science I II III", and "Physical education"were analyzed. The results were as follows. The contents in 'family life' area of "Home economics I II" were overlapped most in the textbook on Ethics, and then Science, Physical education, and social studies in order. In Ethics textbook the contents in family life area and those throughout the whole chapters of home economics textbook are overlapped most. The contents of home economics textbook are overlapped at the content of 'Juvenile's sexual development' of 'Human development process' in science and physical education, and at the content of 'Juvenile's emotional and social development' of 'Understanding of human development' in social studies. Seen from this study the 'family life' area of home economics is overlapped in science, physical education, and social studies, but, home economics has comprehensive contents with the goal of managing healthy individual and family life compared with other subjects, and it induces students' moral practices in their real life on the basis of scientific knowledge different from morality, social studies, and physical education. Hence, the instruction of 'family life' area might be done more effectively by focusing on home economics and integrating the connections of duplicated contents in Ethics, Science, Physical education, and Social studies.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.243-250
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• 2004

Monitoring is used to see if a real-time system provides a service on time. Generally, monitoring for real-time focuses on investigating the current status of a real-time system. To support a stable performance of a real-time system, it should have not only a function to see the current status of real-time process but also a function to predict executions of real-time processes, however. The legacy prediction model has some limitation to apply it to a real-time monitoring. First, it performs a static prediction after a real-time process finished. Second, it needs a statistical pre-analysis before a prediction. Third, transition probability and data about clustering is not based on the current data. We propose the execution prediction model based on learning algorithm to solve these problems and apply it to real-time monitoring. This model gets rid of unnecessary pre-processing and supports a precise prediction based on current data. In addition, this supports multi-level prediction by a trend analysis of past execution data. Most of all, We designed the model to support dynamic prediction which is performed within a real-time process' execution. The results from some experiments show that the judgment accuracy is greater than 80% if the size of a training set is set to over 10, and, in the case of the multi-level prediction, that the prediction difference of the multi-level prediction is minimized if the number of execution is bigger than the size of a training set. The execution prediction model proposed in this model has some limitation that the model used the most simplest learning algorithm and that it didn't consider the multi-regional space model managing CPU, memory and I/O data. The execution prediction model based on a learning algorithm proposed in this paper is used in some areas related to real-time monitoring and control.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.8-9
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• 2017

Soybean yield has been low and unstable in Japan and other areas in East Asia, despite long history of cultivation. This is contrasting with consistent increase of yield in North and South America. This presentation tries to describe perspective of breaking stagnation of soybean yield in East Asia, considering the factors of the different yields between regions. Large amount of rainfall with occasional dry-spell in the summer is a nature of monsoon climate and as frequently stated excess water is the factor of low and unstable soybean yield. For example, there exists a great deal of field-to-field variation in yield of 'Tanbaguro' soybean, which is reputed for high market value and thus cultivated intensively and this results in low average yield. According to our field survey, a major portion of yield variation occurs in early growth period. Soybean production on drained paddy fields is also vulnerable to drought stress after flowering. An analysis at the above study site demonstrated a substantial field-to-field variation of canopy transpiration activity in the mid-summer, but the variation of pod-set was not as large as that of early growth. As frequently mentioned by the contest winners of good practice farming, avoidance of excess water problem in the early growth period is of greatest importance. A series of technological development took place in Japan in crop management for stable crop establishment and growth, that includes seed-bed preparation with ridge and/or chisel ploughing, adjustment of seed moisture content, seed treatment with mancozeb+metalaxyl and the water table control system, FOEAS. A unique success is seen in the tidal swamp area in South Sumatra with the Saturated Soil Culture (SSC), which is for managing acidity problem of pyrite soils. In 2016, an average yield of $2.4tha^{-1}$ was recorded for a 450 ha area with SSC (Ghulamahdi 2017, personal communication). This is a sort of raised bed culture and thus the moisture condition is kept markedly stable during growth period. For genetic control, too, many attempts are on-going for better emergence and plant growth after emergence under excess water. There seems to exist two aspects of excess water resistance, one related to phytophthora resistance and the other with better growth under excess water. The improvement for the latter is particularly challenging and genomic approach is expected to be effectively utilized. The crop model simulation would estimate/evaluate the impact of environmental and genetic factors. But comprehensive crop models for soybean are mainly for cultivations on upland fields and crop response to excess water is not fully accounted for. A soybean model for production on drained paddy fields under monsoon climate is demanded to coordinate technological development under changing climate. We recently recognized that the yield potential of recent US cultivars is greater than that of Japanese cultivars and this also may be responsible for different yield trends. Cultivar comparisons proved that higher yields are associated with greater biomass production specifically during early seed filling, in which high and well sustained activity of leaf gas exchange is related. In fact, the leaf stomatal conductance is considered to have been improved during last a couple of decades in the USA through selections for high yield in several crop species. It is suspected that priority to product quality of soybean as food crop, especially large seed size in Japan, did not allow efficient improvement of productivity. We also recently found a substantial variation of yielding performance under an environment of Indonesia among divergent cultivars from tropical and temperate regions through in a part biomass productivity. Gas exchange activity again seems to be involved. Unlike in North America where transpiration adjustment is considered necessary to avoid terminal drought, under the monsoon climate with wet summer plants with higher activity of gas exchange than current level might be advantageous. In order to explore higher or better-adjusted canopy function, the methodological development is demanded for canopy-level evaluation of transpiration activity. The stagnation of soybean yield would be broken through controlling variable water environment and breeding efforts to improve the quality-oriented cultivars for stable and high yield.

• Journal of Energy Engineering
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• v.25 no.4
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• pp.93-102
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• 2016

Vehicle-to-Grid (V2G) system, bi-direction power trading technology, enables drivers possessing electric vehicle to sell the spare electricity charged in the vehicle to power distribution company. The drivers gain profit by charging electricity in the day time of high electricity rate. In this regard, the government is preparing the policies of building and supporting V2G infrastructure and demanding the potential consumers' preference for the V2G system. This paper attempts to analyze the consumers' preference using the data from obtained a survey of randomly selected 1,000 individuals. To this end, choice experiment, an economic technique, is employed here. The attributes considered in the study are residual amount of electricity, electricity trading hours, required plug-in time, and price measured as an amount additional to current gasoline vehicle price. The multinomial logit model, which requires the assumption of 'independence of irrelevant alternatives', is applied but the assumption could not be satisfied in our data. Thus, we finally utilized nested logit model which does not require the assumption. All the parameter estimates in the utility function are statistically significant at the 10% level. The estimation results show that the marginal willingness to pay (MWTP) for one hour increase in electricity trading hours is estimated to be KRW 1,601,057. On the other hand, a one percent reduction in residual amount of electricity and one hour reduction in required plug-in time in V2G system are computed to be KRW -91,911 and -470,619, respectively. The findings can provide policy makers with useful information for decision-making about introducing and managing V2G system.

• The Korean Journal of Emergency Medical Services
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• v.5 no.1
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• pp.199-212
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• 2001

This research, aiming at analyzing the Emergency Medical Technicians' duties prior to establishing a baseline for question development in the national exams to qualify for the EMTs, investigated the importance and frequency per unit specified in the description with the EMTs to be subjects working on the task spot by means of questionnaires. The EMT duties were classified into 9 items like 1) the notification and response, 2) the scene size-up, 3) the patient assessment, 4) the emergency care, 5) the patient transport, 6) the duties at hospital clinics, 7) the operational management, 8) the receiving and responding to a call, 9) the self-development, and put the functional tasks into 52 items, describing the task elements into 177 items, and then questioned 112 EMTs working on the spot from July 21 through August 30, 2000, which showed the following results. 1) The distribution of subjects' career showed the highest rate with 33.9% for those who careered "less than a year", only 13.4% for those with more than 4 years and the highest rate with 43.8% for those who aged at 20-25. And 70.5% of all those who were questioned was the junior college graduates, 58.9% for those working at fire station and 29.5% working at hospital clinics. 2) Looking at the distribution of frequency and importance for each task element, questioning 'the patients main symptoms', 'accidental type', 'place of the patients identification' showed the highest rate in both frequency and importance in the field of "notification and response". 3) In the "scene size-up", identifying the patients showed the highest rate of frequency and importance, compared to other field of tasks, among which "identifying the patients' state" showed the highest rate of frequency (2.66) and importance (2.81). 4) In the "patient assessment", "identifying the patients" showed the high rate of frequency and importance in most elements of task, especially the importance showed the highest rate with 2.83 for the task of airway management and the cervical immobilization during "the primary assessment", and the frequency showed the highest rate for questioning the past case of the task of grasping the patients' history. 5) In the "emergency care", "the management of the heart attacked patients" and "the advanced cardiac life support" showed a high rate in the importance, whereas the frequency showed a very low rate. The high rate of frequency during the emergent task was the management of "musculoskeletal system injury patients" and of "the gastro-intestinal and urinary genital system injury patient support." In care of the patients with heart attack, the management of the airway showed the highest rate with 2.95, whereas the management of alcoholic abused patients and of dying patients, showed comparatively lower rate of assessment in the importance. The frequency of tasks showed the highest rate with 2.69 in the control of bleeding and the lowest with 0.47 in the management of abnormal delivery of child. 6) As to the patient transport, "the emergency transport" showed the highest rate with 2.74 and the unemergent transport with 2.55 in the importance, and the task importance at hospital showed the highest rate with 2.89 in managing the cardio-pulmonary resuscitation and with 2.60 in identifying the patient state. 7) Of all the tasks related with "operational task", the high importance was to "educate for the management of the first responder", but the frequency of tasks mostly showed a low rate and "receiving and responding to a call" showed relatively a high rate of importance and frequency. And related with "the self-development", "the health care management" and "the stress control" on working spot showed a high rate, but the frequency mostly showed a low rate.

• Culinary science and hospitality research
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• v.1
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• pp.57-89
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• 1995

Despite prologed business stagnation of both international and domestic economy, hotel business as well as tourist industry has continuously been keeping growing, owing to increase of surplus income and world flowing population. During recent 4 years, growth rate of yearly mean in domestic hotels reached 9.9% and especially that of the superior class hotels 15.2%. In the composition of domestic tourist hotel's revenue, the earnings of guest rooms form 37.4%, on the other hand those of food & beverage 39.9%. This result is that our hotel business is concentrated on its interest in FOOD & BEVERAGE of which productivity per unit dimension can be increased to an unlimited extent and extent and superior class hotels strengthened in F&B are increasing in comparison with European or American hotels which are focused on guest rooms in their management. For value added rate of F&B is low as compared with increase of their earnings, they are interested in the management techniques which focus on rising the rate. As for the cost of Food & Beverage, personnel expenditure forms 36.5% and the direct materials 31.5%. Therefore how to manage personnel and materials costs which compose as much as 68% of total revenue will greatly affect net profit. We can say that an effective management technique in cost of Food & Beverage is one of the most important know-hows in hotel management. Especially management know-how for the Kitchen Department where the most of foods come out makes a great effects on various expenses, productivity and it is the achievement from hotel management. For the most of the hotel's top managers, they don't seriously take the fact that KITCHEN SYSTEM affects greatly total expenditure. This study starts from the point of recognizing the question of fundamental cause affecting tow largest cost elements incurred in Food & Beverage and trying to present an effective kitchen system. To settle the questions raised, I compared and analyzed productivity and cost of food & beverage and unit kitchen centered around superior class hotels in Seoul, which vary in Kitchen Systems. In order to attain the aforementioned study effectively purpose of this study, I compared Room-Service and Coffee-Shop Menu, flow of basic food in the kitchen, extent and result of division of labor and integration in the kitchen, scale of outlet kitchen, productivity, the turnover rate of food in store, food cost rate one another which all vary in Kitchen Systems. All these elements are compared and analyzed each other being divided into two main groups such as①. Main Production kitchen and Banquet Kitchen, and ②. coffee-shop kitchen and Room-service Kitchen. Therefore this study is to point out the problems in managing kitchens of superior class hotels which are different in systems. An effort was made to find out the better Kitchen System for superior deluxe hotels. I emphasize the followings on the proper scale of division of labor and integration of unit kitchen and a disposition plan for outlet kitchens of restaurant. First, KITCHEN SYSTEM as a sub-system of Hotel Management System is composed of sub-systems of outlet unit kitchen. Basic food materials are cooked and served for the guests while support kitchen and out restaurant kitchen interact organically each other. So Kitchen should be considered as a system composed of integrated sub-systems. Second, support and banquet kitchens should be integrated to be managed. And these unit kitchens have to be designed to be placed in the back of banquet rooms area. Third, coffee-shop kitchen and room-service kitchen should be integrated to be managed. Fourth, several unit business kitchens should be place on the same floor. Fifth, main production kitchens ought to be located near the loading duck, food store and large refrigerator. Sixth, considering the limits of supervision, duties should be adjusted as 12-20 cooks in two shifts a day for a sub-kitchen, and 18-30 cooks in three shifts a day so that labor division can be made. Last, I would like to two points for direction and task of future study. Firstly, I compare the effective income and increasing costs each other, which are incurred by increasing the use rate of the second processing materials for foods perched outside and through the results. I can find out the better points of the processing production and circulation system, and then I study this effects made on hotel kitchen system. Secondly, I can point out that more efficient kitchen system shall be established through comparing and analyzing the matter of amount of indirect costs and flow of food in different kitchen systems.

• Food Science of Animal Resources
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• v.27 no.1
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• pp.122-126
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• 2007

Expenditure on meat and meat products has been increased in Korea due to the increase of income and the change of diet. From raising farm animals to eating the meat, various hazardous elements can make their ways into the meat and meat products. Recently the issues on food safety and hygiene are drawing a lot of attention, and the current system for managing the safety of foods is still needed to be improved. This survey was aimed to monitor the current situation of country-of-origin labels and hygiene for the meat markets at 4 regions Korea. The survey was performed by collecting samples from whole- sale and retail stores in the nation, which were selling beef. The markets were divided into groups as to territory and the size of the market (Large size, Medium size, and Small size). In terms of size distribution, small butcher shops occupied the highest percentage. On the itemized suitability test of unpacked and packed beef, all the market of 4 regions showed good agreements. However, such labels indicating the methods of cooking and storage were not properly posted on the products. Especially for Ho-nam region, corrections are needed. The results of monitoring sanitation conditions for the butcher shops at 4 regions in Korea showed relatively low suitability. Especially, there were serious lack of knowledge about wearing the sanitation clothing, caps, and shoes. The problem with food safety is so complicated that producer, consumer, food manufacturer, the press, the government, and scholar should solve altogether. It is necessary to educate farmers, food handlers, consumers, etc. and provide them with an accurate information and knowledge.