• Title/Summary/Keyword: Distribution Information

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Development of a Surface Roughness Measurement Method Using Reflected Laser Beam Image and Its Application (레이저광 반사 화상을 이용한 표면 거칠기 측정법의 개발과 적용)

  • Yun, Yun-Feng-Shen;Kim, haa-young;An, jung-hwan;Chi, ei-jon
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.11
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    • pp.51-57
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    • 2001
  • A light beam reflected from a machined surface generally containes information concerning about its surface roughness. This study examines and proposes a surface roughness measurement technique for on-machine measurement of machined surfaces. The technique is based on the measurement of a reflected laser beam pattern and the statistical analysis of its light intensity distribution. The surface roughness was found to be closely related to the standard deviation of the light intensity on the primary axis of the reflected pattern. An image acquisition device is made up of a laser diode, a half mirror, a screen, and a CCD camera. The exact image with the primary and secondary axes of a reflected laser beam pattern is calculated through such image processing algorithm as thresholding, edge detection, image rotation, segmentation, etc. A median filter and a surrounding light correction algorithm are improve the image quality and reduce the measuring error. Using the developed measuring device the effect of screen materials and workpiece and workpiece materials was investigated. Experimental results regarding to relatively high-quality surfaces machined by grinding, polishing, lapping processes have shown the measurement error is within 10% in the range of $0.1{mu}m~0.8{\mu}m R_q.$Therefore, the proposed method is thought to be effectively used when quick measurements is needed with workpieces fixed on the machine.

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The Factors Associated with Changes in the Stage of Breast Cancer Screening Behavior among the Woman who are Eligible for the Korean National Cancer Screening Program (유방암 조기검진에 대한 단계별 행동과 관련 요인 -국가암조기검진 대상자를 중심으로-)

  • Son, Hyo-Kyung;Kam, Sin;Park, Ki-Soo;Kim, Jang-Rak;Kim, Rock-Bum;Park, Sun-Kyun
    • Journal of Preventive Medicine and Public Health
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    • v.42 no.2
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    • pp.109-116
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    • 2009
  • Objectives : This study was performed to evaluate the relationships between psychosocial characteristics and changes in the stage of breast cancer screening behavior. Methods : The 474 study subjects were randomly sampled from 21,459 women(age range, 40-70 years) who were eligible for the Korean National Cancer Screening Program in 2006 in Jinju, Gyeongsangnam-do. The information, including behaviors and sociodemographic characteristics, attitudes, subjective norms and self-efficacy, was collected by trained interviewers via home visits. The breast cancer screening stages were grouped as precontemplation, contemplation, action, maintenance and relapse, according to Rakowski. Results : Of the 474 women, 18.8% were in the precontemplation stage, 23.3% were in the contemplation stage, 13.1% were in the action stage, 36.6% were in the maintenance stage, and 8.2% were in the relapse stage. The distribution of stages was associated with attitude, subjective norms and self-efficacy(p for trend<0.01). To investigate the overall relationship between the variables, we conducted a linear structural equation model analysis based on the theory of planned behavior. The subjective norms and self-efficacy influenced the stage of the women's screening behavior. Conclusions : We should target on self-efficacy about the screening behavior of women by performing timely, thoughtful interventions. The support from family members, friends and other people is crucial for women to undergo breast cancer screening and to improve the breast cancer screening rate.

Distribution and Determinants of Low Birth Weight in Developing Countries

  • Mahumud, Rashidul Alam;Sultana, Marufa;Sarker, Abdur Razzaque
    • Journal of Preventive Medicine and Public Health
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    • v.50 no.1
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    • pp.18-28
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    • 2017
  • Objectives: Low birth weight (LBW) is a major public health concern, especially in developing countries, and is frequently related to child morbidity and mortality. This study aimed to identify key determinants that influence the prevalence of LBW in selected developing countries. Methods: Secondary data analysis was conducted using 10 recent Demography and Health Surveys from developing countries based on the availability of the required information for the years 2010 to 2013. Associations of demographic, socioeconomic, community-based, and individual factors of the mother with LBW in infants were evaluated using multivariate logistic regression analysis. Results: The overall prevalence of LBW in the study countries was 15.9% (range, 9.0 to 35.1%). The following factors were shown to have a significant association with the risk of having an LBW infant in developing countries: maternal age of 35 to 49 years (adjusted odds ratio [aOR], 1.7; 95% confidence interval [CI], 1.2 to 3.1; p<0.01), inadequate antenatal care (ANC) (aOR, 1.7; 95% CI, 1.1 to 2.8; p<0.01), illiteracy (aOR, 1.5; 95% CI, 1.1 to 2.7; p<0.001), delayed conception (aOR, 1.8; 95% CI, 1.4 to 2.5; p<0.001), low body mass index (aOR, 1.6; 95% CI, 1.2 to 2.1; p<0.001) and being in the poorest socioeconomic stratum (aOR, 1.4; 95% CI, 1.1 to 1.8; p<0.001). Conclusions: This study demonstrated that delayed conception, advanced maternal age, and inadequate ANC visits had independent effects on the prevalence of LBW. Strategies should be implemented based on these findings with the goal of developing policy options for improving the overall maternal health status in developing countries.

Socioeconomic Inequality in Malnutrition in Under-5 Children in Iran: Evidence From the Multiple Indicator Demographic and Health Survey, 2010

  • Kia, Abdollah Almasian;Rezapour, Aziz;Khosravi, Ardeshir;Abarghouei, Vajiheh Afzali
    • Journal of Preventive Medicine and Public Health
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    • v.50 no.3
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    • pp.201-209
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    • 2017
  • Objectives: The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality. Methods: Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural) and the sex of children. Results: Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children's sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant. Conclusions: This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.

Epidemiology of Animal Bites and Factors Associated With Delays in Initiating Post-exposure Prophylaxis for Rabies Prevention Among Animal Bite Cases: A Population-based Study

  • Esmaeilzadeh, Firooz;Rajabi, Abdolhalim;Vahedi, Sajad;Shamsadiny, Mohammad;Ghojogh, Mousa Ghelichi;Hatam, Nahid
    • Journal of Preventive Medicine and Public Health
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    • v.50 no.3
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    • pp.210-216
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    • 2017
  • Objectives: One way to prevent deaths due to rabies is the timely utilization of post-exposure prophylaxis (PEP). Therefore, in addition to an understanding of the epidemiological distribution of animal bites, it is necessary to explore the factors leading to delays in PEP initiation. Methods: This cross-sectional study was conducted in Iran in 2011, and included 7097 cases of animal bites recorded at the Rabies Treatment Center of the Shiraz University of Medical Sciences using the census method. Logistic regression was used to identify factors associated with delays in PEP. Results: Among the patients studied, 5387 (75.9%) were males. The prevalence of animal bites in Fars province was 154.4 per 100 000 people. Dogs were the most frequent source of exposure (67.1%), and the most common bitten part of the body was the hands (45.5%). A delay in the initiation of PEP was found among 6.8% of the studied subjects. This delay was more likely in housewives (odds ratio [OR], 4.66; 95% confidence interval [CI], 2.12 to 10.23) and less likely in people with deep wounds (OR, 0.65; 95% CI, 0.43 to 0.97). Conclusions: Although all animal bite victims received complete PEP, in some cases, there were delays. Further, the type of animal involved, the depth of the bite, and the patient's occupation were the major factors associated with a delay in the initiation of PEP for rabies prevention.

Design and Implementation of a Prediction System for Cardiovascular Diseases using PPG (PPG를 이용한 심혈관 질환 예측 시스템의 설계 및 구현)

  • Song, Je-Min;Jin, Gye-Hwan;Seo, Sung-Bo;Park, Jeong-Seok;Lee, Sang-Bock;Ryu, Keun-Ho
    • Journal of the Korean Society of Radiology
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    • v.5 no.1
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    • pp.19-25
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    • 2011
  • Photoplethysmogram(PPG) is the method to obtain the biomedical signal using the linear relationships between the blood volume for changing the cardiac contraction and relaxation and the amount of light for absorbing the hemoglobin in the blood. In this paper, we proposed the analyzed results which show the heart rate variability and the distribution of heart rate for before and after using PPG. Moreover, this paper designed and implemented the system based on personal computer to predict cardiovascular disease in advance using the analyzed results for the autonomic balance from taking the spectral analysis of heart rate and the state of the blood vessel for analyzing APG(acceleration plethysmogram).

Distribution and antimicrobial susceptibility patterns of bacteria isolated from genital tract of riding mares (승용 씨암말의 생식기 유래 세균의 분포 및 항생제 감수성 양상)

  • Cho, Young-Jae;Lee, Yong-Duck;Jang, Jong-Duck;Shin, Kwang-Hyeu;Park, Yong-Soo;Yang, Jae-Hyuk;Kim, Sung-Joon;Cho, Gil-Jae
    • Korean Journal of Veterinary Service
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    • v.38 no.1
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    • pp.19-23
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    • 2015
  • This study was carried out to investigate the genital tract bacterial flora of riding mare in Jangsu stud farm during March to September, 2014. The specimens were collected from vaginal and uterus using a swab from 104 riding mares. Colonies were selected on blood and MacConkey agar plates, and identified as standard biochemical properties and Maldi-Tof MS. From this study, we isolated 148 strains including Escherichia (E.) coli (14.19%), Streptococcus (S.) equi subsp. zooepidemicus (2.7%), Streptococcus (S.) dysgalactiae subsp. equisimilis (2.03%), Klebsiella (K.) pneumonia (1.35%) and other strains from riding mares. In antimicrobial agents susceptibility test, it showed a high sensibility to the antibiotics of the most. E. coli and S. zooepidemicus were visible to have a high sensibility to almost antibiotics used in this study. However, K. pnemoniae showed a high antibiotic resistance patterns. These results may provide the basic information to establish strategies for the treatment and prevention of reproductive diseases in riding mares in Korea.

Big Data and Entertainment Content : Case Studies and Prospects (빅데이터와 엔터테인먼트 콘텐츠 : 사례연구 및 전망)

  • Kim, Hae Won;Lee, Mina
    • Journal of Internet Computing and Services
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    • v.17 no.2
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    • pp.109-118
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    • 2016
  • Big data, thanks to the development of data sciences, has been key words for economic development and governmental policies. This study reviewed how big data has been used with entertainment contents since the uses of big data in the fields have been more popular and the cases making successful business have been reported. To do ends, the changes in production, distribution, and consumption of entertainment contents have been characterized and prime cases have been introduced. Furthermore, Korean production companies of entertainment contents, Bloter and NEOTOUCHPOINT, were selected to investigate how big data has been utilized. It was found that the companies used big data to analyze consumers' behaviors and gain insights of content creation, such as identifying specific elements of enjoyments and conditions to share the contents with others. The domestic entertainment companies are preparing a full-scale of use of big data but, in order to take advantage of big data, collaboration between developers and experts in the field and specific goal-setting and model building are recommended.

Video Summarization Using Importance-based Fuzzy One-Class Support Vector Machine (중요도 기반 퍼지 원 클래스 서포트 벡터 머신을 이용한 비디오 요약 기술)

  • Kim, Ki-Joo;Choi, Young-Sik
    • Journal of Internet Computing and Services
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    • v.12 no.5
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    • pp.87-100
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    • 2011
  • In this paper, we address a video summarization task as generating both visually salient and semantically important video segments. In order to find salient data points, one can use the OC-SVM (One-class Support Vector Machine), which is well known for novelty detection problems. It is, however, hard to incorporate into the OC-SVM process the importance measure of data points, which is crucial for video summarization. In order to integrate the importance of each point in the OC-SVM process, we propose a fuzzy version of OC-SVM. The Importance-based Fuzzy OC-SVM weights data points according to the importance measure of the video segments and then estimates the support of a distribution of the weighted feature vectors. The estimated support vectors form the descriptive segments that best delineate the underlying video content in terms of the importance and salience of video segments. We demonstrate the performance of our algorithm on several synthesized data sets and different types of videos in order to show the efficacy of the proposed algorithm. Experimental results showed that our approach outperformed the well known traditional method.

A Technique for Mixed Pixel Extraction by Canonical Vector Analysis (정준벡터분석에 의한 혼합화소 해석기법에 관한 연구)

  • 박민호
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.16 no.1
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    • pp.75-84
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    • 1998
  • To achieve more accurate information from satellite image data, a research on a technique for mixed pixel ex-traction has been produced. The mixed pixels with only two land covers have been experimented. By analyzing canonical vector in canonical correlation classification, the mixed pixels have been classified. The ratio of the two canonical weighted values-the elements of canonical vector have been used as a threshold to discriminate mixed pixels. In case of the classification for the mixed pixels of bridge and water class in TM data before or after the 1st of September, the threshold for the optimal classification of the mixed pixels is 4.0. That is, if the ratio of the two canonical weighted values is less than 4.0, the pixel is a mixed pixel. Also, using the distribution of canonical weighted values, the constitution percentages of land covers within one mixed pixel can be approximately deducted. The accuracy of mixed pixel extraction for experimental area is 90% and quite acceptable. Conclusively, a technique for mixed pixel extraction by canonical vector analysis is effective.

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