• Journal of the Korean Dietetic Association
• /
• v.7 no.1
• /
• pp.56-64
• /
• 2001

The study was conducted to assess sanitary concepts of employees and needs of HACCP-based sanitation training program for elementary school foodservice operations. Subjects consisted of 370 foodservice employees. Foodservice employees' demographic characteristics were surveyed, and their food sanitation knowledge was tested. Food sanitation knowledge included 4 dimensions of foodborne disease & food microbiology; sanitary management in food product flows; personal hygiene management; and equipment & facility sanitation management. The data were analysed using the SPSS package for descriptive analysis, t-test and ANOVA test. The average sanitation knowledge score was 9.5 out of 15. The working periods of foodservice employees were singnificantly(p<01) related to food sanitation knowledge dimensions. Correct answering rate of 4 sanitation management dimensions were 74.4% in foodborne disease & food microbiology; 536% in sanitary management in food product flows; 78.7% in personal hygiene management; and 50.5% in equipment & facility sanitation management. 6 items in 4 sanitation knowledge dimensions under mean score were identified. Those items were temperature danger zone, thawing method of frozen foods, cooking & holding temperature, proper sampling & storage methods, proper storing methods in refrigerator, and proper washing & sanitizing method for utensils. Identified 6 items were included in 12 critical control points developed for the elementary school generic HACCP plan, and should be emphasized in implementing HACCP-based sanitation training program.

• KIEAE Journal
• /
• v.15 no.3
• /
• pp.5-14
• /
• 2015

Purpose: Recently, according to climate changes, human health is exposed to danger over the world and they influence all fields of human society. Due to these climate changes, humans can be exposed to more frequent and extreme scorching heat and cold wave than the present. As precautions against these urban higher temperature and dryness, diverse methods are being sought. Among them, as measures to form cold islands, the evaporative cooling effect realistic to social and economic conditions was examined. Method: This study was conducted to analyze effects of temperature reduction and cooling according to injection quantity of minute water particles by using a blast sprayer as one of alternatives of alleviation of urban climate changes in outside space in summer. For this, through temperature difference in accordance with the injection quantity per hour of a day, a time zone representing the value of the highest temperature change was analyzed. Also, by analyzing temperature difference according to the injection quantity per daytime insolation, relation of amounts of insolation and evaporation was investigated. Temperature difference in accordance with distances at the highest temperature with the highest value in temperature changes was analyzed. Result: At the study result, about temperature, as injection quantity increase, temperature reduction was significant statistically at the highest temperature with the most insolation. A factor with the highest influence was judged to be the increase of the injection quantity. According to the injection quantity, it was predicted that $3.1^{\circ}C$ temperature reduction of a daily average in case of 0.16L/min, $3.5^{\circ}C$ temperature reduction of a daily average in case of 0.32L/min, and $4.4^{\circ}C$ temperature reduction of a daily average in case of 0.48L/min.

• Journal of the Korean Dietetic Association
• /
• v.13 no.4
• /
• pp.389-406
• /
• 2007

This study was conducted to estimate the safety level of non-cooking and cooking processed foods to propose the sanitary management of foods donated to foodbanks. The time and temperature were measured and the microbial levels of aerobic plate counts (APC), coliforms, E. coli, Salmonella spp., S. aureus, B. cereus, and E. coli O157:H7 were analyzed on ten food items donated to seven foodbanks. The amount of cooked foods donated to each foodbank was about 10 to 40 servings. All foodbanks hired a supervisor and had at least one refrigerator/freezer and one temperature-controlled vehicle, but only four foodbanks had the separate offices to manage the foodbank operation. The flow of donated foods was gone through the steps; production, meal service and holding at donator, collection by foodbank, transport (or holding after transport) and distribution to recipients. After production, the levels of APC of both non-cooking and cooking processed foods were complied with the standards by Ministry of Education & Human Resources Development, and were not increased till distribution. Only the level of coliforms in dried squid & cucumber salad (1.5×$10^3$ CFU/g) was not met the standards. E. coli and other pathogens were not detected in all tested samples. The microbial levels of delivery vessels and work tables were satisfactory, but the APC levels of two of four tested serving tables (6.9×$10^3$ and 5.3×$10^3$ CFU/100$cm^2$) and the coliforms level of one (1.1×$10^3$ CFU/100$cm^2$) were over the standards. The air-borne microflora level in serving room was estimated as satisfactory. It took about 3.0 to 6.5 hours from after-production to distribution and the temperatures of donated foods were exposed mostly to temperature danger zone, which had a high potential of microbial growth. These results imply that a checklist to monitor time and temperature in each step should be provided and the employees involving foodbank operation should be properly educated to ensure the safety of donated foods.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.40 no.4
• /
• pp.147-153
• /
• 2017

The mortality rate in industrial accidents in South Korea was 11 per 100,000 workers in 2015. It's five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won much more than natural disaster losses equivalent to 1.1 trillion won. It requires fundamental changes according to industrial safety management. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spatial analytics and data mining. We collected 119 data on accident data, factory characteristics data, company information such as sales amount, capital stock, building information, weather information, official land price, etc. Through the pre-processing and data convergence process, the analysis dataset was constructed. Then we conducted geographically weighted regression with spatial factors affecting fire incidents and calculated the risk of fire accidents with analytical model for combining Boosting and CART (Classification and Regression Tree). We drew the main factors that affect the fire accident. The drawn main factors are deterioration of buildings, capital stock, employee number, officially assessed land price and height of building. Finally the predicted accident rates were divided into four class (risk category-alert, hazard, caution, and attention) with Jenks Natural Breaks Classification. It is divided by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. As the analysis results were also visualized on maps, the danger zone can be intuitively checked. It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.1
• /
• pp.209-214
• /
• 2020

In terms of population structure, korea military power has entered a serious danger zone, and that birth rate has led not only to a decrease in the population of the nation's economic activity, but also to a decrease in troop resources in our last security bastion, and the trend of "children from multicultural families" joining the army is predicted to soon become a "cultural force" with an average of 8,000 troops expected to join the army between 2025 and 2031. After all, the seriousness of the problem of declining troop resources in the military organization, the nation's last security bastion, and the multicultural army will be added. Therefore, this study reveals how multicultural soldiers are adapting to military service and analyzes them in depth by categorizing a series of processes on military life adaptation.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.8
• /
• pp.1077-1085
• /
• 2020

In order to Mine Countermeasure (MCM), the search is carried out for the expected mine zone. At this time, mine hunting uses Autonomous Unmanned Vehicle(AUV), taking into account the danger of mine and the stability of our forces. Sonar system for identifying buried mines are equipped with Side Scan Sonar(SSS) or Synthetic Aperture Sonar(SAS). This paper describes the analysis of mine hunting effects according to the commercial SSS characteristics. Based on the characteristics of each SSS, the insonified area and recognition probability were modeled, and the analysis was performed according to the search pattern of the AUV. AUV's search pattern defines three patterns depending on the presence or absence of SSS or shaded areas. The analysis results derived search time and detection probability for each search pattern, and finally, the improvement of search depending on the presence or absence of side injection or shaded area.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.12
• /
• pp.45-53
• /
• 2020

The purpose of this paper is to reduce the ratio of the patient accidents that may occur in nursing hospitals. In other words, it determines whether the person approaching the dangerous area is a elderly (patient uniform) group or a practitioner(Casual Clothing) group, based on the clothing displayed by CCTV. We collected the basic learning data from web crawling techniques and nursing hospitals. Then model training data was created with Image Generator and Labeling program. Due to the limited performance of CCTV, it is difficult to create a good model with both high accuracy and speed. Therefore, we implemented the ResNet model with relatively excellent accuracy and the YOLO3 model with relatively excellent speed. Then we wanted to allow nursing hospitals to choose a model that they wanted. As a result of the study, we implemented a model that can distinguish patient and casual clothes with appropriate accuracy. Therefore, it is believed that it will contribute to the reduction of safety accidents in nursing hospitals by preventing the elderly from accessing the danger zone.

• International Journal of Computer Science & Network Security
• /
• v.23 no.5
• /
• pp.135-147
• /
• 2023

Internet of things has revolutionaries every field of life due to the use of artificial intelligence within Machine Learning. It is successfully being used for the study of Radiation monitoring, prediction of Ultraviolet and Electromagnetic rays. However, there is no particular system available that can monitor and detect waves. Therefore, the present study designed in which IOT enables intelligence system based on machine learning was developed for the prediction of the radiation and their effects of human beings. Moreover, a sensor based system was installed in order to detect harmful radiation present in the environment and this system has the ability to alert the humans within the range of danger zone with a buzz, so that humans can move to a safer place. Along with this automatic sensor system; a self-created dataset was also created in which sensor values were recorded. Furthermore, in order to study the outcomes of the effect of these rays researchers used Support Vector Machine, Gaussian Naïve Bayes, Decision Trees, Extra Trees, Bagging Classifier, Random Forests, Logistic Regression and Adaptive Boosting Classifier were used. To sum up the whole discussion it is stated the results give high accuracy and prove that the proposed system is reliable and accurate for the detection and monitoring of waves. Furthermore, for the prediction of outcome, Adaptive Boosting Classifier has shown the best accuracy of 81.77% as compared with other classifiers.

• Korean Security Journal
• /
• no.25
• /
• pp.147-164
• /
• 2010

A variety of work zone including road single-sharing construction add surrounding disorder and increase inconvenience of vehicles and pedestrians and furthermore danger of traffic accidents, which sometimes result in human life damages. Traffic delay due to vehicles and users generating in the course of using large-scale multiplex facilities bring about a great economic loss. Now, a lot of regulations and laws related to traffic safety system on construction sites etc. are established, but can not display efficacy desirably. It brings about continuous economic loss due to human life accidents and delay. For the purpose of solving the problems, it is necessary to import systems such as traffic inducement Security (Japan) and traffic controller (CANADA, USA) This article suggest how improve civil safety and reduce Social cost. therefore This thesis aims at analyzing advanced cases of foreign countries, looking into Korean status, and presenting importing ways of traffic inducement Security appropriate to Korea. It is reasonable to grant grade1, grade2, and technical experts to traffic inducement Security who pass regulated educations and examinations. In addition, by reversing regulations and laws, it is necessary only those who have the licenses of traffic induction guarder etc. can establish construction sites and disordered places on roads. Theory educations for education time must include basic educations and expert educations. Basic educations must include understanding regulations and laws and understanding affairs. Expert educations must include traffic control, safety educations, understanding of traffic accidents, operation of traffic control facilities, and traffic accident settlements. Traffic affairs educations must include traffic induction affairs in sites (hand signals, safety material establishment, traffic accident settlements, and urgent treatments).

• Spatial Information Research
• /
• v.22 no.3
• /
• pp.79-87
• /
• 2014

In order to foster rapid disaster response and public life protection, National Emergency Management Agency has been trying to spread 'Emergency Rescue Standard System' on a national scale since 2006. The agency has also intensified management of firefighter's safety on disaster site by implementing danger predication training, specialized training and education and safety procedure check as a part of safety management officer duties. Nevertheless, there are limitations for effective fire fighting steps, such as damage spreading and life damage due to unawareness of illegal converted structure, structure transformation by high temperature and nearby hazardous material storage as well as extemporary situation handling endangered firefighter's life. In order to eliminate these limitations there is a need for an effort and technology application to minimize human errors such as inaccurate situational awareness, wrong decision built on experience and judgment of field commander and firefighters. The purpose of this study is to propose a new disaster response model which is applied with geospatial information. we executed spatial contextual awareness map analysis using fire-fighting vulnerable zone model to propose the new disaster response model and also examined a case study for Dalseo-gu in Daegu Metropolitan City. Finally, we also suggested operational concept of new proposed model on a national scale.