• IEIE Transactions on Smart Processing and Computing
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• v.5 no.5
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• pp.327-330
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• 2016

Currently, the world's elderly population continues to grow at a dramatic rate. As the number of senior citizens increases, detection of someone falling has attracted increasing attention for visual surveillance systems. This paper presents a novel fall-detection algorithm using motion estimation and an integrated spatiotemporal energy map of the object region. The proposed method first extracts a human region using a background subtraction method. Next, we applied an optical flow algorithm to estimate motion vectors, and an energy map is generated by accumulating the detected human region for a certain period of time. We can then detect a fall using k-nearest neighbor (kNN) classification with the previously estimated motion information and energy map. The experimental results show that the proposed algorithm can effectively detect someone falling in any direction, including at an angle parallel to the camera's optical axis.

• Proceedings of the Microbiological Society of Korea Conference
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• 2002.10a
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• pp.22-26
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• 2002

There are a number of ways in which environmental microbiology and microbial ecology will benefit from DNA micro array technology. These include community genome arrays, SSU rDNA arrays, environmental functional gene arrays, population biology arrays, and there are clearly more different applications of microarray technology that can be applied to relevant problems in environmental microbiology. Two types of the applications, bacterial identification chip and functional gene detection chip, will be presented. For the bacterial identification chip, a new approach employing random genome fragments that eliminates the disadvantages of traditional DNA-DNA hybridization is proposed to identify and type bacteria based on genomic DNA-DNA similarity. Bacterial genomes are fragmented randomly, and representative fragments are spotted on a glass slide and then hybridized to test genomes. Resulting hybridization profiles are used in statistical procedures to identify test strains. Second, the direct binding version of microarray with a different array design and hybridization scheme is proposed to quantify target genes in environmental samples. Reference DNA was employed to normalize variations in spot size and hybridization. The approach for designing quantitative microarrays and the inferred equation from this study provide a simple and convenient way to estimate the target gene concentration from the hybridization signal ratio.

• Journal of Veterinary Clinics
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• v.29 no.1
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• pp.68-77
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• 2012

Whenever planning a study design or preparing a research proposal it is highly recommended that investigators decide the optimum sample size that is required to yield an outcome of interest with a predetermined level of precision. This is because that, all else being equal, if a study with less than the optimum sample size would not detect the significance of differences in reality, and similarly, if a study with more than the optimum sample size will be costly. For these reasons, the majority of peer reviewed biomedical journals assess the adequacy of sample size requirements. The calculated sample size is used as a target number of samples to be collected to provide an estimate of the parameter with the desired and predetermined level of accuracy, and the sample size is a major determinant of the probability of detecting diseased animals from the population. There is no single method of calculating sample size for any given study design. In this context, the purpose of this article is to provide a collection of formulas and examples for some typical situations likely to be encountered in veterinary clinical practice and to highlight the importance of performing prospective sample size calculations when planning a research. Specifically, this paper is concerned with the basic principle of sample size calculation, and considerations for methodological applications were illustrated for a given data set. Also included in this paper is factors influencing sample size calculations using a statistically valid techniques. Appropriate methods to consider these factors are presented.

• Ocean and Polar Research
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• v.29 no.4
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• pp.319-326
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• 2007

Coastal marine ecosystems continue to suffer unrelenting pressures from human population growth, increased development, and climate change. Moreover, these systems' capacity for self-repair is declining with such increases in anthropogenic production of various pollutants. What is the present health status or condition of the coastal ecosystem? If our coastal areas are unhealthy, which conditions are considered serious? To answer such questions, the United States, Canada, and Australia are currently assessing coastal ecosystem health using systematic monitoring programs as well as identifying and implementing management plans to improve the health of degraded coastal ecosystems. To evaluate marine environments, Korea is currently using a limited number of factors to estimate water quality. In fact, we are ill-prepared for assessing coastal ecosystem health because no biologically specific criteria are in place to measure the responses to various pollutants. We should select ecosystem-specific indicators from physicochemical stressors and evaluate the subsequent biological responses within each ecosystem. Furthermore, a set of practical indicators should be generated by considering the characteristics and uses of a local coastal area and the key issues at hand. The values of indicators should be presented as indices that allow understanding by the general public as well as by practitioners, policy makers, environmental managers and other stakeholders.

• Journal of agricultural medicine and community health
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• v.17 no.2
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• pp.103-111
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• 1992

In order to estimate the level of illness and the pattern of 2 week - prevalence of morbidity by demographic and socioeconomic factors among the inhabitants in Wando district which is located off the southern seashore from mainland Korea, the household interview survey was performed to the sample population selected by stratified proportional random sampling method from January 15 to 30, 1990 in Wan-do Gun, Chonnam province. The data were collected from 5,134 family members of 1,234 households which were 5.2% of total households of the area. The results observed were following: 1. The 2 week-prevalence was 12.1%. 2. There was no significant difference of 2 week-prevalence between male and female, and that was higher in lower income group and longer duration of residence group and larger number of household group.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.6
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• pp.2827-2832
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• 2016

Purpose: To estimate the number of deaths attributable to second hand smoking (SHS) in Morocco in 2012. Materials and Methods: prevalence based study focusing on mortality from ischaemic heart disease (IHD) and lung cancer among non-smokers aged 35 and over. Prevalence of SHS among never smokers was gathered from a national cross sectional survey on tobacco and population attributable risk (PAR) was calculated by applying PARs to mortality. The analyses were stratified by sex, age and area of exposure. Results: Rates for exposure to SHS among men aged 35-64 years ranged from 20.0% at home to 57.4% at work. Among non-smoking Moroccans aged 35 and over, 233 (IC: 147 - 246) deaths were attributable to exposure to SHS; 156 (IC: 100 - 221) in women and 77 (IC: 44 -125) in men. A total of 173 (122 - 222) deaths were estimated to have been caused by exposure only at home, 34 (9 - 76) by exposure only at the work place and 26 (15 - 58) by exposure both at home and work places. Exposure to SHS could be responsible for 182 (128 - 237) deaths from IHD and 51 (19 - 109) from lung cancer. Conclusions: These data confirm that SHS needs urgent attention in Morocco.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.471-478
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• 2020

In this paper, we develop the ground risk model of unmanned aerial vehicle (UAV) operation to quantify the ground risk when the UAV falls to the ground during the intended operation in case of UAV failure. The ground risk is computed by using the UAV failure probability, the probability of impact a person when UAV falls to the ground, the probability of fatality when UAV strikes the person. We mathematically derive each probability to evaluate the ground risk of UAV operation. Also, the population density map, building to land ratio map, car traffic database is used to estimate the number of people exposed to collision with UAV. Finally, we assumed the operations of a UAV with two paths in Daejeon city and evaluate the ground risk of each UAV operations.

• Safety and Health at Work
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• v.13 no.4
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• pp.482-486
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• 2022

Background: This study aimed to estimate the annual prevalence and incidence of urolithiasis stratified by work status based on a large nationwide sample. Methods: This study used data from the National Health Insurance Service-National Sample Cohort from 2002 to 2015. The prevalence and incidence of urolithiasis were estimated based on work status and gender stratification. The risk of urolithiasis among workers was calculated using age-standardized incidence ratio with stratification of work type. Results: The prevalence of urolithiasis was significantly higher in workers than in non-workers, especially men, during the follow-up period. The total estimated number of urolithiasis cases was 41,086 and the overall incidence of urolithiasis was 0.3%. The age-standardized incidence ratio of urolithiasis was significantly higher among the total workers (1.14; 95% confidence interval, 1.13-1.16), self-employed workers (1.08; 95% confidence interval, 1.06-1.11), and paid workers (1.19; 95% confidence interval, 1.17-1.21) than among the non-working population. Conclusions: Workers, especially paid workers and men, were vulnerable to urolithiasis. Further studies are required to investigate the effects of working conditions on urolithiasis.

• Korea journal of population studies
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• v.21 no.1
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• pp.162-183
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• 1998

This study examines the sampling bias that may have resulted from the large number of missing observations. Despite well-designed and reliable sampling procedures, the observed sample values in DSFH(Demographic Survey on Changes in Family and Household Structure, Japan) included many missing observations. The head administerd survey method of DSFH resulted in a large number of missing observations regarding characteristics of elderly non-head parents and their children. In addition, the response probability of a particular item in DSFH significantly differs by characteristics of elderly parents and their children. Furthermore, missing observations of many items occurred simultaneously. This complex pattern of missing observations critically limits the ability to produce an unbiased analysis. First, the large number of missing observations is likely to cause a misleading estimate of the standard error. Even worse, the possible dependency of missing observations on their latent values is likely to produce biased estimates of covariates. Two models are employed to solve the possible inference biases. First, EM algorithm is used to infer the missing values based on the knowledge of the association between the observed values and other covariates. Second, a selection model was employed given the suspicion that the probability of missing observations of proximity depends on its unobserved outcome.

• Korean Journal of Environment and Ecology
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• v.28 no.5
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• pp.550-558
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• 2014

This study was conducted to investigate the distribution and the population dynamics of Hipparchia autonoe by using a line transect and Mark-Release-Recapture (MRR) at the Mt. Halla in Jeju Island. The results showed that H. autonoe was found from 1,500 m above the sea level. Total 1,493 H. autonoe with 978 males and 515 females were captured and released in the MRR study site. Among them, 518 individuals including 284 males and 234 females were recaptured. The average survival time was 2.31 days with 2.14 days for males and 3.47 days for females, indicating longer survival time in case of females than males. The daily population size of males estimated in the MRR study site was maintained about 1,000 individuals in July and gradually decreased less than 200 in August. The number of females showed peak at 335 individuals on July 24, and gradually decreased less than 120 in August. Thus, female population was 1/3 of males. The average travel distance of male and female H. autonoe were $116.8{\pm}191.9m$ and $118.4{\pm}161.5m$, respectively, indicating almost same between sexes. H. autonoe in the Mt. Halla formed single population group in the wide meadow around the Baekrokdam Lake. The highest population density of H. autonoe was occurred in the restored area from damages, where host plants such as the sheep's fescue or the food plant are abundant by artificial restoration efforts.