• Korean Journal of Environmental Biology
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• v.30 no.3
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• pp.245-271
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• 2012

A study on the indigenous diatoms was carried out at 103 sites during August 2008 to April 2011 from the marine and the brackish waters in Korea. A fine structure of small-sized diatoms was examined using a light and scanning electron microscopy. Sixty species of diatoms were newly identified and composed of 3 class, 6 subclass, 16 order, 21 family and 39 genus. The detailed nomenclatures, references, photographs and distributions were here reported. Of 60 species, the most frequent species was Tryblionella coarctata appearing 24 times, and 22 times followed by Thalassiosira lacustris, Cocconeis stauroneiformis was 20 times. In the level of genus, Chaetoceros, Parlibells and Thalassiosira were included 4 species, Actinocyclus, Minidiscus and Licmophora were included 3 species. This study will provide the knowledge of the diversity level of diatom in Korea, the knowledge is important on the diatoms for further studies.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.95-113
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• 1997

This paper outlines a framework for a diagnosis of a complex system with uncertain information. Sensor validation ploys a vital role in the ability of the overall system to correctly determine the state of a system monitored by imperfect sensors. Here, emphases are put on the heuristic technology and post-processor for reasoning. Heuristic Sensor Validation (HSV) exploits deeper knowledge about parameter interaction within the plant to cull sensor faults from the data stream. Finally the modified probability distributions and validated data are used as input to the reasoning scheme which is the runtime version of the influence diagram. The output of the influence diagram is a diagnostic mapping from the symptoms or sensor readings to a determination of likely failure modes. Once likely failure modes are identified, a detailed diagnostic knowledge base suggests corrective actions to improve performance. This framework for a diagnostic expert system with sensor validation and reasoning under uncertainty applies in $HEATXPRT^{TM}$ a data-driven on-line expert system for diagnosing heat rate degradation problems in fossil power plants [1].

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.3
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• pp.255-260
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• 2002

This paper describes a fuzzy-based system for analyzing the stress intensity factors (SIFs) of three-dimensional (3D) cracks. A geometry model, i.e. a solid containing one or several 3D cracks is defined. Several distributions of local node density are chosen, and then automatically superposed on one another over the geometry model by using the fuzzy knowledge processing. Nodes are generated by the bucketing method, and ten-coded quadratic tetrahedral solid elements are generated by the Delaunay triangulation techniques. The singular elements such that the mid-point nodes near crack front are shifted at the quarter-points, and these are automatically placed along the 3D crack front. The complete finite element(FE) model is generated, and a stress analysis is performed. The SIFs are calculated using the displacement extrapolation method. To demonstrate practical performances of the present system, semi-elliptical surface cracks in a inhomogeneous plate subjected to uniform tension are solved.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.171-191
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• 2003

Today universities are regarded as one of the key institutions in the national and regional innovation systems. First of all the diffusion and distribution of the knowledges, technologies, information and know-hows from higher educations to regions are capable of promoting an innovation-led regional development. This study aims to evaluate the transfer and spatial diffusion of knowledge and technology from the Chonnam National University(CNU) in Kwangju to the regions and to focus the analysis of the technology transfer, personnel transfer and spin-off development. The results show that there are some differences in the spatial range and effects of the knowledge and technology transfer of the CNU by the type of transfers. And the Analysis provide evidence that the knowledge and technology distributions from the CNU make more and less positive contribution to regional developments.

• The Mathematical Education
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• v.59 no.1
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• pp.47-62
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• 2020

Understanding the concept of probability distribution becomes more important. We considered probabilities defined in the sample space, the definition of discrete random variables, the probability of defined discrete probability distribution, and the relationship between them as knowledge of discrete probability distribution, and investigated the understanding degree of the mathematics preservice teachers. The results are as follows. Firstly, about 70% of preservice teachers who participated in this study expressed discrete probability distribution graphs in ordered pairs or continuous distribution. Secondly, with regard to the two factors for obtaining discrete probability distributions: probability for each element in the sample space and the concept of random variables that convert each element in the sample space into a real value, only 13% of the preservice teachers understood and addressed both factors. Thirdly, 39% of the preservice teachers correctly responded to whether different probability distributions can be defined for one sample space. Fourthly, when the probability of each fundamental event was determined to obtain the probability distribution of the discrete random variables defined in the undefined sample space, approximately 70% habitually calculated by the uniform probability. Finally, about 20% of preservice teachers understood the meaning and relationship of binomial distribution, discrete random variables, and sample space. In relation, clear definitions and full explanations of concept need to be provided from textbooks and a program to improve the understanding of preservice teachers need to be developed.

• Journal of Radiation Protection and Research
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• v.26 no.3
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• pp.203-206
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• 2001

The mathematical processing (unfolding) of pulse height spectra from a scintillation detector helps to calculate the photon fluence rate energy distribution in a measured photon field. The data processing is based on the knowledge of detection system response function and directional dependence respectively. The experimental results of the photon fields measurements in the vicinity of the spent fuel temporary storage and inside the storage hall are presented. The containers Castor 440 are used for temporary storing of the burnt up fuel assemblies in the Czech nuclear power plant Dukovany. A set of periodical measurements was performed in order to get basic information on the time dependence of the photon fields spatial distributions and spectral characteristics in the temporary storage hall and its vicinity. The photon fields were measured by the scintillation system. The obtained photon fields spatial distributions and spectral characteristics present the information on the radiation hazard in the storage.

• Journal of Korean Elementary Science Education
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• v.33 no.3
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• pp.453-463
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• 2014

Environmental education contents in science textbooks of South Korea and the United States were compared and analyzed in order to find how to develop environmental education in elementary science education. McGraw-Hill science textbooks for third to sixth grade and science textbooks of Korea based on the 2009 Revised National Curriculum and the 2007 Revised National Curriculum were analyzed and compared. The categories were educational goals, kinds of contents, distributions of contents and tense. The result showed that the environmental education goals in science textbook of Korea and United States were biased to knowledge area. The educational contents of the United States was higher 2.5 times then Korea and distributed in all areas. In quantitative distributions in Korea were biased some special areas. Tense of educational contents were almost present. Attitudes and recognition of students varies gradually over a long period of time, the contents of environmental education will be useful "evenly distributed" for all areas and school year.

• Journal of the Korean association of regional geographers
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• v.14 no.2
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• pp.114-125
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• 2008

Colored dissolved organic matter(CDOM) is an important component of ocean color that can be used as an invaluable tool in water quality and ocean color studies. With the largest source of coastal CDOM appearing to be from freshwater discharge into the ocean, coastal predictive models will do much to refine our knowledge about major processes that control CDOM distributions in coastal waters and provide a better insight into the global carbon cycle. This study aims at developing a GIS-based watershed-scale predictive model of CDOM distributions in Neponset river watersheds that can be used to appraise our understanding of CDOM sources and distributions in coastal waters and predict the response of CDOM concentration to changes in land use patterns. Weighting factors are developed for CDOM freshwater sources after extensive groundtruthing from various landuse types in the watershed. This model makes use of a publicly available DEM(Digital elevation model) as the base data for analysis. Stream networks, discharge, and land use data are used from public repositories while sub- watershed delineation, pour-points, and land use parcels are generated using Spatial Analysis of ArcGIS 9.2 to estimate the CDOM loading from various sources to the lower tributaries of rivers. The Neponset Watershed in eastern Massachusetts is selected as the site for development of the model.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.855-863
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• 2000

Although Behavior-Knowledge Space (BKS) method, one of well known decision combination methods, does not need any assumptions in combining the multiple experts, it should theoretically build exponential storage spaces for storing and managing jointly observed K decisions from K experts. That is, combining K experts needs a (K+1)st-order probability distribution. However, it is well known that the distribution becomes unmanageable in storing and estimating, even for a small K. In order to overcome such weakness, it has been studied to decompose a probability distribution into a number of component distributions and to approximate the distribution with a product of the component distributions. One of such previous works is to apply a conditional independence assumption to the distribution. Another work is to approximate the distribution with a product of only first-order tree dependencies or second-order distributions as shown in [1]. In this paper, higher order dependency than the first-order is considered in approximating the distribution and a dependency-based framework is proposed to optimally approximate the (K+1)st-order probability distribution with a product set of dth-order dependencies where ($1{\le}d{\le}K$), and to combine multiple experts based on the product set using the Bayesian formalism. This framework was experimented and evaluated with a standardized CENPARMI data base.

• Research in Community and Public Health Nursing
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• v.4 no.2
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• pp.139-145
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• 1993

The purpose of this study was to identify the degree and the relationship of the Knowledge, Attitude and Practice of industrial health care services of workers. This information will provide useful data for an effective industrial health care service. The was collected from 600 data employees in Kwang-ju city & Chonnam province. The data was gathered by questionnaire from Dec 20, 1992 to Jan 20, 1993. The questionnaire was developed by the Academic Affairs of Community Health Nursing Academy. Data was analyzed by using the statistical computer package, SPSS to manipulate the data along with percentages, means, standard deviations, modes, t-test and ANOVA. The results in this study were summarized as follows: 1. General characteristics of workers: Distributions of workers was laborer(76.2%). in the 25-34 age group(50.2%), married(63.3%), males comprised(77.5%), the educational level with the highest percentage was high school graduates (71.1%), with a monthly income of 300-700 thousand won(43.8%), and has been working in the present career over seven years (31.5%). 2. The Knowledge, Attitude and Practice levels of employees about industrial health care services The levels were measured according to a five point scale. The total mean score of knowledge was 2.92 points out of 4. The following are the scores of Knowledge of special medical examination and location of industrial clinic(3.48), periodic medical examination (3.18), occupational disease(3.08), personal protective equipment (2.92), and health education(1.37). The total mean score of Attitude was 2.77 point out of 4. The following are the scores of Attitude in order of working environment (3.35), necessity of periodic medical examination and health education(3.15), the worker's perception influence on the working environment to health was high(3.11). But, the level of satisfaction in the content of periodic medical examination was low(2.19). The total mean score of Practice was 2.70 points out of 4. The scores of Practice in order were, practice of periodic medical examination(3.70), utilization of industrial clinic(2.92), and to participate in health education(1.47). 3. The relationship of general characteristics to Knowledge, Attitude, and Practice of workers: Knowledge had a significant difference by sex (P<.01), marital status(P<.01), education level (P<.05) and monthly income(P<.01). Attitude was significantly different with sex(P<.05) and Practice was significantly related to monthly income (P<.01).