• Journal of Environmental Science International
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• v.16 no.12
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• pp.1451-1462
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• 2007

Heavy metal concentrations in the soil were investigated for the abandoned Samkwang metal mine, Cheongyang-Gun, Chungnam Province, Korea. The concentrations of heavy metal(As, Cd, Cu, Ni, Pb, Zn) were determined in mine soils collected at the abandoned mine sites to obtain a general classification and specification of the pollution in this highly polluted region. The results estimated with the normal test and basis statistic on the central tendency and variation showed that the distribution of heavy metal concentration had significantly different at the range of all locations. The range of spatial distribution on the relationship of heavy metal concentration and pH was $4.8{\sim}8.8$ and heavy metal concentration on the type of land use was highest in forest land, and also Ni and Zn in farm and rice field showed the high concentration. The distribution of heavy metal concentration on the depth of a soil showed that the metal concentrations in subsoil were higher than of those in surface soil, while the concentration of Cu and Ni had no significant difference on the depth of soil. Results from the correlation analysis using the data except the extreme and unusual data revel that Zn-Cd(r=0.867), Zn-As(r=0.797), Zn-Pb(r=0.764), Cu-Cd(r=0.673), Cu-As(r=0.614) and Zn-Ni(r=0.605) were the most important parameters in assessing variations of heavy metal in soil. To discriminate pattern differences and similarities among samples, principal factor analysis(PFA) and cluster analysis(CF) were performed using a correlation matrix. This study suggests that PFA and CF techniques are useful tools for identification of important heavy metal and parameters. This study presents the necessity and usefulness of multivariate statistical assessment of complex databases in order to get better information about the quality of soil and gives the basis information to clean up the abandoned mine sites.

• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.400-413
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• 2019

Purpose: The use of video-recording offers important advantages in observing and assessing the relationship between specific behaviors in health care settings. The purpose of this systematic review is to investigate and synthesize the methodological characteristics of studies using video-technology for measuring interactions with the older persons with dementia and staff in long-term care facilities. Methods: We searched Medline, Embase and CINHAL databases for published articles in English using a video-recording method for both staff and the residents with dementia. Quantitative research design studies (e.g., descriptive or experimental studies) were included. Results: Among 5,605 searched papers, a total of 20 studies were selected for this review. Situations of video-recording were providing personal care (n=12), mealtime (n=6), and conversation (n=3). Concepts measured by video-recording were classified into two groups: 1) Staff [care practice by staff (n=13) and communication by staff (n=11)] and 2) residents [communication by resident (n=4), activities of daily life function of resident (n=8), and behavioral and psychological symptoms of dementia (n=10)]. Conclusion: This review demonstrates that video technologies are actively used to evaluate the relationship between quality of care and health outcomes of the elderly with dementia in many international nursing studies. This study provides the foundation for a future research using video-recording technologies to examine the interactions and relationships between staff and the residents in Korean long-term care settings.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.48-52
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• 2005

R&D Personnel information is constructed locally based on the needs of each institute and therefore is distributed over different databases. It does not support inter operability which makes it difficult to access and update that leads to the problem of ineffective usage. In this study, we have categorized the lower level information that forms the domestic S&T Personnel and defined the relationship between each type of information to suggest a standard for the data elements that guarantee the access to specific information in order to support inter operability. We have analyzed the human resource information database of domestic and foreign research institutes for the data modeling. We have also made reference to the standard metadata and database of other types that can be linked with the human resource information in designing the data elements. ISO/IEC 11179, the international standard for the metadata registry(MDR), was adopted to apply the object, attribute and expression to be described to the name of the data element.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.406-411
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• 2013

Big data issue has been considered in diverse fields. Also, big data learning has been required in all areas such as engineering and social science. Statistics and machine learning algorithms are representative tools for big data learning. In this paper, we study learning tools for big data and propose an efficient methodology for big data learning via legacy data to practical application. We apply our big data learning to patent analysis, because patent is one of big data. Also, we use patent analysis result for technology forecasting. To illustrate how the proposed methodology could be applied in real domain, we will retrieve patents related to big data from patent databases in the world. Using searched patent data, we perform a case study by text mining preprocessing and multiple linear regression of statistics.

• Korean Journal of Acupuncture
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• v.34 no.4
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• pp.191-208
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• 2017

Objectives : The purpose of this study was to analyze the trend of pharmacopuncture in Korean patent in order to establish database for patent technology. Methods : Electronic literature searches for Korean patents related to pharmacopuncture were performed in two electronic databases (Korea Intellectual Property Right Information Service and National Digital Science Library) to June 2017. Patents that were not Korean ones, did not use medicinal herb, only described method of manufacture, or had nothing to do with pharmacopuncture were excluded in this study. The status and application date of patents, Medicinal herb, target diseases, International Patent Classification (IPC), model of experiment and extracting methods were analyzed. Results : A total of 379 patents were retrieved. Based on our inclusion/exclusion criteria, 297 patents were excluded. Of 82 included patents, 27 patents did not include experiments using pharmacopuncture, and 9 patents were invented for treating animals such as pig or calf. In IPC analysis, Bee Venom, Panax (ginseng), Angelica, and Paeoniaceae were used frequently. Musculoskeletal diseases were the most targeted diseases followed by nervous diseases. For extracting, hot water extraction, distillation extraction, and solvent extraction using alcohol, ethanol, or methanol for solvent were commonly used. Conclusions : These data are useful for inventing new patent and extending range of pharmacopuncture in clinical use, however, more systematically analyzed patent studies and pharmacopuncture-related studies for new application on various diseases are needed in further studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4060-4079
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• 2020

Blur is an important type of image distortion. How to evaluate the quality of blurred image accurately and efficiently is a research hotspot in the field of image processing in recent years. Inspired by the multi-scale perceptual characteristics of the human visual system (HVS), this paper presents a no-reference image blur/sharpness assessment method based on multi-scale local features in the spatial domain. First, considering various content has different sensitivity to blur distortion, the image is divided into smooth, edge, and texture regions in blocks. Then, the Gaussian scale space of the image is constructed, and the categorized contrast features between the original image and the Gaussian scale space images are calculated to express the blur degree of different image contents. To simulate the impact of viewing distance on blur distortion, the distribution characteristics of local maximum gradient of multi-resolution images were also calculated in the spatial domain. Finally, the image blur assessment model is obtained by fusing all features and learning the mapping from features to quality scores by support vector regression (SVR). Performance of the proposed method is evaluated on four synthetically blurred databases and one real blurred database. The experimental results demonstrate that our method can produce quality scores more consistent with subjective evaluations than other methods, especially for real burred images.

• Safety and Health at Work
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• v.9 no.2
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• pp.125-132
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• 2018

Background: According to the US Bureau of Labor Statistics, musculoskeletal disorders (MSDs) accounted for 32% of all nonfatal injury and illness cases in 2014 among full-time workers. Our objective was to review and summarize the evidence linking occupational exposures to vibration and awkward posture with MSDs of the shoulder and neck. Methods: A literature search was conducted using the terms musculoskeletal disorders, vibration, and awkward posture. All types of observational epidemiologic studies, with the exception of case reports, published during 1998-2015 were included. Databases searched were MEDLINE (Ovid), Embase (Ovid), Scopus, Ergonomic Abstracts, NIOSHTIC-2, and Health and Safety Science Abstracts. Results: Occupational exposures to whole-body or hand-arm vibration were significantly associated with or resulted in MSDs of the shoulder and neck. Awkward postures while working were also associated with MSDs in these locations. These findings were consistent across study designs, populations, and countries. Conclusion: Occupational exposure to vibration and awkward posture are associated with shoulder and neck MSDs. Longitudinal studies are required to elucidate the mechanisms responsible for these associations, and intervention studies are warranted.

• Genomics & Informatics
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• v.14 no.3
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• pp.125-135
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• 2016

Helicobacter pylori is a Gram-negative bacteria that is responsible for gastritis in human. Its spiral flagellated body helps in locomotion and colonization in the host environment. It is capable of living in the highly acidic environment of the stomach with the help of acid adaptive genes. The genome of H. pylori 26695 strain contains 1,555 coding genes that encode 1,445 proteins. Out of these, 340 proteins are characterized as hypothetical proteins (HP). This study involves extensive analysis of the HPs using an established pipeline which comprises various bioinformatics tools and databases to find out probable functions of the HPs and identification of virulence factors. After extensive analysis of all the 340 HPs, we found that 104 HPs are showing characteristic similarities with the proteins with known functions. Thus, on the basis of such similarities, we assigned probable functions to 104 HPs with high confidence and precision. All the predicted HPs contain representative members of diverse functional classes of proteins such as enzymes, transporters, binding proteins, regulatory proteins, proteins involved in cellular processes and other proteins with miscellaneous functions. Therefore, we classified 104 HPs into aforementioned functional groups. During the virulence factors analysis of the HPs, we found 11 HPs are showing significant virulence. The identification of virulence proteins with the help their predicted functions may pave the way for drug target estimation and development of effective drug to counter the activity of that protein.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.829-832
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• 2006

The word P2P implies significant changes in current business dynamics. The P2P service enables individuals to be connected to the Internet for the direct provision of information and even downloads from one another without the conventional method of passing through search engines. This can be utilized to extend the path of retrieving information from limited web sites to personal and enterprise databases. That is, it is now possible for individuals to manage their own information on a national or global scope, share various information with other members, form communities of users interested in sharing homogeneous information, and utilize remote conference and remote education using groupware.

• Journal of Information Management
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• v.22 no.2
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• pp.1-28
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• 1991

The objective of this study is to prepare a source data in order to establish a standardization of scientific and technical terms in Korean language. This will contribute to accelerate the production of Korean databases in scientific and technical field and will be used as the most convenient search tool for accessing to the foreign database. This study includes the construction of the multi-lingual thesaurus comprising of Korean, English, and Japanese. First of all a theoretical background on thesaurus is reviewed, and terms are collected from JICST Thesaurus, English-Japanese List and JICST Thesaurus, Japanese-English List published by JICST in 1987. This multi-lingual thesaurus covers 38,318 terms of Korean descriptors, 2,870 terms of Korean non-descriptors, 38,318 terms of English descriptors, 11,910 terms of English non-descriptors, and 38,318 terms of Japanese descriptors, 9,789 terms of Japanese non-descriptors.