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Epidemiological and Lumbar x-ray Studies on the Low Back Pain of the Workers in an Automobile Industry (자동차 제조업체 근로자들의 요통에 대한 역학적 요추 x-선학적 고찰)

  • Kim, Soon-Lae
    • Research in Community and Public Health Nursing
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    • v.6 no.2
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    • pp.319-334
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    • 1995
  • To investigate the risk factors of low back pain, an epidemiological study was carried out among male workers aged 20-55 employed in an automobile industry in Korea during the time period from February 1993 to October 1995. Workers participated to this study were divided into low back pain group(LBP) and control group, according to the self-reports by written questionnaires. General characteristics, medical history, work related factors, fatigue, and MMPI were compared between two groups. To clarify the relationship between job related low back pain and radiologic features of lumbar spine, radiographic study was carried out. The resultant data were processed for $x^2-test$, t-test, and stepwise logistic regression to confirm the adjusted odds ratios. The results were as follows: 1. History of back disease, lifting and carrying work, excessive physical fatigue, and weakend back strength of individual workers were directly associated with low back pain. Odd ratios of these 4 risk factors of low back pain were 5.07, 3.34, 1.49, and 1.22 respectively. 2. The frequency of low back pain history was significantly higher in LBP group. 3. Back muscle strength of lumbar spine of LBP group were significantly lower than control group. 4. The workers in LBP group revealed high fatigue symptoms. 5. In MMPI test LBP group showed higher scales in hypochondriasis, depression, hysteria, psychopathic deviate, paranoia, psychasthenia, schizophrenia, and hypomania. 6. LBP group were more frequently involved in lifting and carrying, working in awkward position, bending, twisting and using lower extremities. 7. LBP group were exposed more to vibration during working. 8. In the Analysis of radiographs of lumbar spine, Jacob's line not crossing fourth lumhar disc space, transitional vertebrae and lumbar displacement more than 4.4mm in standing lateral view were more frequently observed in LBP group than control group. Through these results, it is concluded that identification of previous history of back problem, change of work or working environment for workers with previous back problem and measures to relieve both physical and psychological fatigue of the workers are required for optimal management of work-related back problems among workers. In the present study, several results were different from the previous reports: Jacob's line not corssing fourth lumbar disc space, lumbarization, and vertebral slipping (spondylolisthesis) more than 4.4mm are related to backache. Meticulous studies are required to elucidate the difference.

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Semi-automatic Ontology Modeling for VOD Annotation for IPTV (IPTV의 VOD 어노테이션을 위한 반자동 온톨로지 모델링)

  • Choi, Jung-Hwa;Heo, Gil;Park, Young-Tack
    • Journal of KIISE:Software and Applications
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    • v.37 no.7
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    • pp.548-557
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    • 2010
  • In this paper, we propose a semi-automatic modeling approach of ontology to annotate VOD to realize the IPTV's intelligent searching. The ontology is made by combining partial tree that extracts hypernym, hyponym, and synonym of keywords related to a service domain from WordNet. Further, we add to the partial tree new keywords that are undefined in WordNet, such as foreign words and words written in Chinese characters. The ontology consists of two parts: generic hierarchy and specific hierarchy. The former is the semantic model of vocabularies such as keywords and contents of keywords. They are defined as classes including property restrictions in the ontology. The latter is generated using the reasoning technique by inferring contents of keywords based on the generic hierarchy. An annotation generates metadata (i.e., contents and genre) of VOD based on the specific hierarchy. The generic hierarchy can be applied to other domains, and the specific hierarchy helps modeling the ontology to fit the service domain. This approach is proved as good to generate metadata independent of any specific domain. As a result, the proposed method produced around 82% precision with 2,400 VOD annotation test data.

A Study on the Practice for Computer Architecture Course and its Learning Performance (컴퓨터 구조 교과목의 실습과 학습 성과에 관한 연구)

  • Ro, Soonghwan;Park, Seonggyoon;Ki, Jang-Geun;Choe, Jin Kyu;Sung, Young Whee;Kim, Young-Chon;Lee, Kyou Ho;Kim, Eun Jeong
    • Journal of Engineering Education Research
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    • v.16 no.3
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    • pp.3-9
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    • 2013
  • It is very difficult for students to understand "Computer System Architecture" written by M. Morris Mano only through theoretical education. This study has developed DigCom as a computer architecture practice kit to make it easier for students to understand computer operations. The practice kit operates in the same manner as the "simple computer" described in Computer System Architecture. The purpose of this study is to examine whether using DigCom is effective in improving learning outcomes. For the purpose, t-test and two-way ANOVA were used to determine if there is any difference in learning outcomes between the experimental group of students who used DigCom and the control group who took the course in a traditional setting without using DigCom. The main conclusions of the study are as follows: Students understand computer operations better when DigCom is used in class.

Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks

  • Thanathornwong, Bhornsawan;Suebnukarn, Siriwan
    • Imaging Science in Dentistry
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    • v.50 no.2
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    • pp.169-174
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    • 2020
  • Purpose: Periodontal disease causes tooth loss and is associated with cardiovascular diseases, diabetes, and rheumatoid arthritis. The present study proposes using a deep learning-based object detection method to identify periodontally compromised teeth on digital panoramic radiographs. A faster regional convolutional neural network (faster R-CNN) which is a state-of-the-art deep detection network, was adapted from the natural image domain using a small annotated clinical data- set. Materials and Methods: In total, 100 digital panoramic radiographs of periodontally compromised patients were retrospectively collected from our hospital's information system and augmented. The periodontally compromised teeth found in each image were annotated by experts in periodontology to obtain the ground truth. The Keras library, which is written in Python, was used to train and test the model on a single NVidia 1080Ti GPU. The faster R-CNN model used a pretrained ResNet architecture. Results: The average precision rate of 0.81 demonstrated that there was a significant region of overlap between the predicted regions and the ground truth. The average recall rate of 0.80 showed that the periodontally compromised teeth regions generated by the detection method excluded healthiest teeth areas. In addition, the model achieved a sensitivity of 0.84, a specificity of 0.88 and an F-measure of 0.81. Conclusion: The faster R-CNN trained on a limited amount of labeled imaging data performed satisfactorily in detecting periodontally compromised teeth. The application of a faster R-CNN to assist in the detection of periodontally compromised teeth may reduce diagnostic effort by saving assessment time and allowing automated screening documentation.

Breast, Cervical, and Colorectal Cancer Screening Status of a Group of Turkish Women

  • Gulten, Guvenc;Memnun, Seven;Ayse, Kilic;Aygul, Akyuz;Gulcin, Akcan
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.9
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    • pp.4273-4279
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    • 2012
  • Introduction: The aim of the study was to determine the breast, cervical, and colorectal cancer screening rates and the influencing factors in a group of Turkish females. Methods: This descriptive study was conducted in a School of Nursing. The study sample consisted of 603 females who were the mothers/neighbors or relatives of the nursing students. Data collection forms were developed by the investigators after the relevant literature was screened and were used to collect the data. Results: Of the women aged 30 and over, 32.8% had undergone a pap smear test at least once in their life. Of those aged 50 and over, 48.2% had undergone mammography at least once and FOBT had been performed in 12% of these women in their life. Having heard of the screening tests before, knowing why they are done, and having information on the national cancer screening program were important factors influencing the rates of women having these tests done. Discussion: The results of this study show that the rates of women participating in national cervical, breast, and colorectal cancer screening programs are not at the desired levels. Having heard of the screening tests before, knowing why they are done, and having information on the national cancer screening program were important factors influencing the rates of women having these tests done. It is suggested that written and visual campaigns to promote the service should be used to educate a larger population, thus increasing the participation rates for cancer screening programs.

WebSHArk 1.0: A Benchmark Collection for Malicious Web Shell Detection

  • Kim, Jinsuk;Yoo, Dong-Hoon;Jang, Heejin;Jeong, Kimoon
    • Journal of Information Processing Systems
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    • v.11 no.2
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    • pp.229-238
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    • 2015
  • Web shells are programs that are written for a specific purpose in Web scripting languages, such as PHP, ASP, ASP.NET, JSP, PERL-CGI, etc. Web shells provide a means to communicate with the server's operating system via the interpreter of the web scripting languages. Hence, web shells can execute OS specific commands over HTTP. Usually, web attacks by malicious users are made by uploading one of these web shells to compromise the target web servers. Though there have been several approaches to detect such malicious web shells, no standard dataset has been built to compare various web shell detection techniques. In this paper, we present a collection of web shell files, WebSHArk 1.0, as a standard dataset for current and future studies in malicious web shell detection. To provide baseline results for future studies and for the improvement of current tools, we also present some benchmark results by scanning the WebSHArk dataset directory with three web shell scanning tools that are publicly available on the Internet. The WebSHArk 1.0 dataset is only available upon request via email to one of the authors, due to security and legal issues.

Feature Extraction based FE-SONN for Signature Verification (서명 검증을 위한 특정 기반의 FE-SONN)

  • Koo Gun-Seo
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.93-102
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    • 2005
  • This paper proposes an approach to verify signature using autonomous self-organized Neural Network Model , fused with fuzzy membership equation of fuzzy c-means algorithm, based on the features of the signature. To overcome limitations of the functional approach and Parametric approach among the conventional on-line signature recognition approaches, this Paper presents novel autonomous signature classification approach based on clustering features. Thirty-six globa1 features and twelve local features were defined, so that a signature verifying system with FE-SONN that learns them was implemented. It was experimented for total 713 signatures that are composed of 155 original signatures and 180 forged signatures yet 378 original signatures written by oneself. The success rate of this test is more than 97.67$\%$ But, a few forged signatures that could not be detected by human eyes could not be done by the system either.

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The Self-Efficacy, Self-Esteem and Health Promoting Lifestyle of Teachers in Korea (교사의 자기효능감, 자아존중감 및 건강증진 생활양식)

  • Kim, Soon Lae;Lee, Kyu Nan
    • Korean Journal of Occupational Health Nursing
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    • v.7 no.1
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    • pp.47-54
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    • 1998
  • The purpose of this study was to identify the factors affected with health promoting lifestyle of teachers to provide the data for efficient health management of teachers. The subjects of this study were 809 teachers, who were chosen in Choong-Buk province. Data were collected by written questionnaires by mail and visiting from September 1 to 30, 1997. Data was analyzed by descriptive statistics, t-test, ANOVA using SPSS/PC(v.4.01) program. The results are as follows; 1. The mean scores of Health Promoting Lifestyle was 2.53 on the average, self-actualization 2.97, nutrition 2.90, interpersonal relationship 2.52, stress management 2.33, exercise 1.91, health responsibility 1.82. Total Health Promoting Lifestyle was significantly different by sex, age, marital status, career, teaching load, monthly income education, number of children. 2. Income was the factors affect with self-actualization, age, marital status, teaching load, number of children, career, education, income were the factors significantly affect with Nutrition. Sex, marital status were the factors affect with stress management, sex, age, career were the factors affect with exercise, and sex, age, marital status, career, teaching load, income, education, number of children were the factors affect with health responsibility. 3. Marital status, sex, age, income, number of children, living with family were the factors significantly affect with Family Function. 4. Sex affected with Self Efficacy. The above findings indicate the need to develop nursing intervention to improve Self-Efficacy, Family Function to improve Health Promoting Lifestyle. Further studies are needed to confirm these findings and to determine factors which significantly influence Health Promoting Lifestyle of teachers.

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Implementation of Hangul to $T_EX$ conversion software (아래아 한글 파일의 텍 파일로의 변환 소프트웨어 구현)

  • Kim, Sung-Won;Lee, Han-Na;Park, Sang-Hoon;Oh, Chang-Hyuck
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.99-107
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    • 2010
  • This research is for implementation of a software that can convert Hangul format file to $T_EX$ format file. Hangul is a word processor that has widely been used in Korea. It is known that Hangul is relatively easy of typing in equations and tables in preparing a paper draft. $T_EX$ has been developed as a computer programming language for preparing and publishing documents. Documents are first typed in with a plain text editor with $T_EX$ commands and then is compiled and linked. The software implemented in this research converts Hangul format files which are written under the specific format of a journal to $T_EX$ format file with the given style specific file. It converts special symbols, texts, tables, equations, and paragraph formats. We have used Hangul format of Journal of the Korean Data & Information Science Society (JKDISS) and the style file of $T_EX$ for the beta-test for the software.

Cosmetics Purchasing Behavior by Female Consumers According to Type of Advertisement and Publicity in Women's Monthly Magazines (여성 월간지 화장품 광고 및 홍보 유형에 따른 화장품 구매행동)

  • Kim, Hee Eun;Chung, Sung Jee;Kim, Donggeon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.10
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    • pp.1015-1027
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    • 2012
  • This study compares and analyzes cosmetics purchasing behavior according to the advertising and publicity implemented in women's monthly magazines as well as determines effective marketing strategies for the cosmetics industry. First, cosmetics advertising and publicity in women's monthly magazines can be classified into conventional advertising, advertorials, beauty news based on press releases, and beauty articles written by editors. In addition, consumer purchasing behavior has been examined in terms of use of information, purchasing intention, and purchasing experience. A study was conducted on women in their 20's to 40's in Seoul and Gyeonggi-do with 289 questionnaires used in the final analysis. Data were analyzed by common factor analysis, randomized block design, Bonferroni adjusted t-test, and multiple linear regression using SPSS 12.0/Windows. The results of the study can be summarized as follows. First, there was a difference in purchasing behavior according to types of cosmetics advertising and publicity in women's monthly magazines. Second, cosmetics shopping orientations were classified into six factors (the pursuit of impulsive purchasing and trends, well-known brands, convenience, low prices, efficacy and brand loyalty). There were significant effects of shopping orientation on cosmetics purchasing behavior according to the type of advertisement and publicity in women's monthly magazines.