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The Sanitary Management Procedures of Foodservice in Elementary Schools in Pusan (부산지역 학교급식의 위생관리 수행 평가)

  • 류은순;정동관
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.28 no.6
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    • pp.1398-1404
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    • 1999
  • The purpose of this study was to investigate the sanitary management procedures of foodservice in elementary schools in Pusan area. The questionnaire which were administered to 189 dietitians was used in this study as a survey method. The results were as follows. Mean total length of employment for dietitians at school foodservice was 3.7 year. The mean serving scale was 1,052 meals. Meals were served at classroom 63.5%, lunchroom 23.8%, and classroom+lunchroom 12.7% of the schools. The mean time span required of meal delivery was 31.5min at the classroom serving place. Regarding total mean score of sanitary management procedures, time temperature was 3.48/5.00, personal sanitation 4.20/5.00, equipments and facilities sanitation 3.92/5.00. The mean score of the pre preparation was 3.91/5.00 for time temperature management procedure, those of food purchasing and receiving, food storage, food production, meal. assembly.trasnportation service, and hot.cold holding were 3.83/5.00, 3.82/5.00, 3.71/5.00, 3.25/5.00, 2.30/5.00 respectively. The higher age group(31

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Analysis of Industrial Accidents Data with Survival Model (생존분석 모형을 활용한 산업재해 데이터의 분석)

  • Baik, Jaiwook
    • Industry Promotion Research
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    • v.5 no.1
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    • pp.1-11
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    • 2020
  • The purpose of this study is to analyze the industrial accidents data with survival model. EDA approach is used to explore the relationship between two variables and among three variables for the past 10 years of industrial accidents data. Survival models are also tried. Survival curve drops more rapidly for the business with fewer employees as time goes by. Industrial accidents occur more often as the total number of industrial accidents gets larger and as the number of employees gets smaller. Agriculture, fishing and forestry have a higher level of industrial accidents than construction while service industry and 'transportation·storage and telecommunication' have a fewer number of industrial accidents than construction. Korea Safety and Health Agency's and Ministry of Employment and Labor's involvement were not effective but Civilian's was. Recurrent event data analysis reveals all most the same result as for non-recurrent data analysis.

A Spatial Index for PDA using Minimum Bounding Rectangle Compression and Hashing Techniques (최소경계사각형 압축 및 해슁 기법을 이용한 PDA용 공간색인)

  • 김진덕
    • Spatial Information Research
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    • v.10 no.1
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    • pp.61-76
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    • 2002
  • Mobile map services using PDA are prevailing because of the rapid developments of techniques of the internet and handhold devices recently. While the volume of spatial data is tremendous and the spatial operations are time-intensive, the PDA has small size memory and a low performance processor. Therefore, the spatial index for PDA should be small size and efficiently filter out the candidate objects of spatial operation as well. This paper proposes a spatial index far PDA called MHF(Multilevel Hashing File). The MHF has simple structure for storage efficiency and uses a hashing technique, which is direct search method, for search efficiency. This paper also designs a compression technique for MBR. which occupies almost 80% of index data in the two dimensional case. We call it HMBR. Although the HMBR technique reduces the MB\ulcorner size to almost a third, it shows good filtering efficiency because of no information loss by quantization in case of small objects that occupy a major portion. Our experimental tests show that the proposed MHF index using HMBR technique is appropriate for PDA in terms of the size of index, the Number of MBR comparisons, the filtering efficiency and the execution time of spatial operations.

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Design and Implementation of Efficient Storage and Retrieval Technology of Traffic Big Data (교통 빅데이터의 효율적 저장 및 검색 기술의 설계와 구현)

  • Kim, Ki-su;Yi, Jae-Jin;Kim, Hong-Hoi;Jang, Yo-lim;Hahm, Yu-Kun
    • The Journal of Bigdata
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    • v.4 no.2
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    • pp.207-220
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    • 2019
  • Recent developments in information and communication technology has enabled the deployment of sensor based data to provide real-time services. In Korea, The Korea Transportation Safety Authority is collecting driving information of all commercial vehicles through a fitted digital tachograph (DTG). This information gathered using DTG can be utilized in various ways in the field of transportation. Notably in autonomous driving, the real-time analysis of this information can be used to prevent or respond to dangerous driving behavior. However, there is a limit to processing a large amount of data at a level suitable for real-time services using a traditional database system. In particular, due to a such technical problem, the processing of large quantity of traffic big data for real-time commercial vehicle operation information analysis has never been attempted in Korea. In order to solve this problem, this study optimized the new database server system and confirmed that a real-time service is possible. It is expected that the constructed database system will be used to secure base data needed to establish digital twin and autonomous driving environments.

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System Design and Application of External Feature Extraction for Quality Maintenance of Yukwa (유과의 품질규격 유지를 위한 외형 정보 측정 시스템 설계 및 적용 연구)

  • Cho, Sung Ho;Kim, Tae Jung;Hwang, Heon
    • The Korean Journal of Community Living Science
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    • v.24 no.2
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    • pp.251-258
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    • 2013
  • Korean oil and honey Yukwa has been paid attention as formal cake for traditional national seasons' holiday and religious service. Quality of Yukwa, however, has been maintained arbitrarily by each Yukwa manufacturer. Since even same Yukwa had severe differences in size, weight, and pattern, it has given the negative effect to the consumer. Yukwa industries need to setup the quantitative quality specifications instead of qualitative ones to maintain the uniformity of Yukwa quality. Efficient and economical inspection and process control system should be developed. In developing quality standards of Yukwa, features which can measure quality quantitatively in real time should be properly chosen. Existing quality features such as acidity, oxidization, hardness, viscosity, and texture were measured by the chemical or physical base destructive methods. Many research and developments have been performed in investigating and analyzing chemical transition states of those quality features as environment or storage condition changes. Most methods, however, require either off-line or complex treatment or time consuming process of analysis in evaluating quality features. Consumer, however, selects products mostly based on the external features such as shape, size, and color. Therefore, critical visual quality features should be chosen and the efficient real time measurement system must be developed. In this paper, computer image acquisition and processing system were developed and software modules were developed to extract the quantitative data of those features in real-time. Computer image processing system will promote in maintaining uniform quality of Yukwa and establishing quality standards of Yukwa.

Ontology Construction of Technological Knowledge for R&D Trend Analysis (연구 개발 트렌드 분석을 위한 기술 지식 온톨로지 구축)

  • Hwang, Mi-Nyeong;Lee, Seungwoo;Cho, Minhee;Kim, Soon Young;Choi, Sung-Pil;Jung, Hanmin
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.35-45
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    • 2012
  • Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.

A Study of Direct and Contingency Factors Affecting Customer Switching Intension of E-mail Services in Portal Sites (포털사이트에서 이메일 서비스의 전환의도에 영향를 미치는 직접적 요인과 상황적 요인에 관한 연구)

  • Kim, Gi-Mun;Lee, Jung-Woo;Nam, Sang-Min;Lee, Ho-Geun
    • Information Systems Review
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    • v.7 no.1
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    • pp.115-136
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    • 2005
  • Recently Internet portals contend with each other to expand their customer base by providing customers with a much amount of e-mail storage. But This strategy may not be successful because of customers' switching cost following site moving. Therefore, in order to reveal whether their strategy makes sense, this study investigates the direct and contingency factors affecting customer switching intension of e-mail services in portal sites. The research results show that attractiveness of alternatives, switching cost, and customer satisfaction have a significantly direct impact on customer switching intension of e-mail services. Also, attractiveness of alternatives alone has an moderated effect on customer switching intension but switching cost does not. Thus, Internet portals may reap the harvest from their recent aggressive action.

m-Health System for Processing of Clinical Biosignals based Android Platform (안드로이드 플랫폼 기반의 임상 바이오신호 처리를 위한 모바일 헬스 시스템)

  • Seo, Jung-Hee;Park, Hung-Bog
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.7
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    • pp.97-106
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    • 2012
  • Management of biosignal data in mobile devices causes many problems in real-time transmission of large volume of multimedia data or storage devices. Therefore, this research paper intends to suggest an m-Health system, a clinical data processing system using mobile in order to provide quick medical service. This system deployed health system on IP network, compounded outputs from many bio sensing in remote sites and performed integrated data processing electronically on various bio sensors. The m-health system measures and monitors various biosignals and sends them to data servers of remote hospitals. It is an Android-based mobile application which patients and their family and medical staff can use anywhere anytime. Medical staff access patient data from hospital data servers and provide feedback on medical diagnosis and prescription to patients or users. Video stream for patient monitoring uses a scalable transcoding technique to decides data size appropriate for network traffic and sends video stream, remarkably reducing loads of mobile systems and networks.

The Big Data Analysis and Medical Quality Management for Wellness (웰니스를 위한 빅데이터 분석과 의료 질 관리)

  • Cho, Young-Bok;Woo, Sung-Hee;Lee, Sang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.101-109
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    • 2014
  • Medical technology development and increase the income level of a "Long and healthy Life=Wellness," with the growing interest in actively promoting and maintaining health and wellness has become enlarged. In addition, the demand for personalized health care services is growing and extensive medical moves of big data, disease prevention, too. In this paper, the main interest in the market, highlighting wellness in order to support big data-driven healthcare quality through patient-centered medical services purposes. Patients with drug dependence treatment is not to diet but to improve disease prevention and treatment based on analysis of big data. Analysing your Tweets-daily information and wellness disease prevention and treatment, based on the purpose of the dictionary. Efficient big data analysis for node while increasing processing time experiment. Test result case of total access time efficient 26% of one node to three nodes and case of data storage is 63%, case of data aggregate is 18% efficient of one node to three nodes.

Comparison of Physicochemical Characteristics of Hot-boned Chicken Breast and Leg Muscles during Storage at 20℃

  • Yu, Long-Hao;Lee, Eui-Soo;Chen, Hong-Sheng;Jeong, Jong-Youn;Choi, Yun-Sang;Lim, Dong-Gyun;Kim, Cheon-Jei
    • Food Science of Animal Resources
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    • v.31 no.5
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    • pp.676-683
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    • 2011
  • The aim of this study was to compare the physicochemical changes of hot-boned chicken breast and leg muscles. Chicken breast and leg muscles from 56 broilers were excised within a 15 min post-mortem (PM) and stored at $20^{\circ}C$. Physicochemical traits were determined at 0.5, 6, 12, and 24 h PM. The ultimate pH of leg muscle was higher than that of breast muscle (p<0.05). The content of glycogen in the breast muscle was relatively higher than that in the leg muscle until 6 h PM (p<0.05). R-values showing rigor mortis of breast and leg muscles were completed after or before 6 h PM. Breast muscle had less cooking loss than leg muscle (p<0.05). Drip loss did not significantly differ between breast and leg muscles with the exception of that at 6 h PM. The sarcomere length of leg muscle was relatively longer than that of breast muscle (p<0.05). The MFI of leg muscle was significantly lower than that of breast muscle (p<0.05). The shear force of leg muscle was lower than that of breast muscle at 6 and 12 h PM (p<0.05); however, that of both muscles did not significantly differ at 24 h PM.