• Journal of East-West Nursing Research
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• v.13 no.2
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• pp.197-207
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• 2007

Purpose: This study was carried out to deveop nursing costs and to substantiate the application of appropriate activity-based nursing costs for the current clinical nurse specialists. Method: The study sample was a group of 8 home health care team of the tirtiary Hospital in Korea. The data was collected from September 2003 through December 2004. The statistical analysis was done by SPSS PC 11.0 program and calculated mean and the standard deviation. In Lee(2003)'s nursing activity analysis, nursing activities were classified into two major classification, 19 domains and 70 activities. Each activities was calculated using its work validity, physical effort, psychological effort, stress as a intensity, and the necessary time. The simple work costs was calculated the work wage per minute and the necessary time. The work load intensity was calculated using the work wage per minute and the necessary time work load intensity/100. Results: In this study, the work wage was 283 won per minute. The work validity ranged from 2.71-4.00. The highest simple work cost/work load intensity cost was 12,735won/47,374won for research activity, 10,700won/27,499won for bedsore care, and 9,727won/35,114won for deathbed care. The lowest simple work cost/work load intensity cost was 2,123won/2,038won for intramuscular injection, 2,210won/2,166won for hypodermic injection, and 2,210won/1,547won for a application of medicine(or ointment or cream). Conclusions: It revealed that the nursing cost should be considered validity, physical effort, psychological effort, stress as a intensity, and necessary time. Therefore, It is necessary to calculate nursing cost systematically based on activities.

• Journal of Fisheries and Marine Sciences Education
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• v.13 no.1
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• pp.1-18
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• 2001

The purpose of this research was to develop curricula for the department of marine products marketing in fisheries high schools. The specific objectives were as follows; 1) To investigate the demand of students, teachers in fisheries high schools, and workers in marine products marketing for the educational program. 2) To analyze the jobs of the marine products marketing fields. 3) To develop curricula for the department of marine products marketing on the basis of the theoretical background and the result of the objective 1) and 2). In order to achieve these objectives, domestic and foreign literatures, research reports, and theses were referred to in order to know the academic classification of fisheries economics and curricula of junior colleges and universities were collected and analyzed. To achieve the first objective, the degree of the students' knowledge of marine products marketing through fisheries management textbook was investigated. And the questionnaire survey of the demand was conducted on the subject of professors at the departments of fisheries management, teachers in the charge of the related courses and those who work for marine products marketing-related firms. The questionnaire was composed of 22 items about the knowledge of marine products marketing and 27 items about the job capacity. To achieve the second objective, the occupations were surveyed on the subjects of the works who work for marine products marketing. They were sampled randomly among the marine products buyers, wholesalers, auctioneers and salespersons. The results of this research were as follows; Taking grades and credits at each subject were made out on the consultation of the experts in marine products marketing. The curriculum of the professional subjects related to marine products marketing in fisheries high schools is suggested as follows; General Fisheries(10th grade, 6 credits, curricular discretionary class), General Oceanography(10th grade, 4 credits, curricular discretionary class), Fisheries Marine Transportation Information(11th grade, 8-12 credits), Marine Products Marketing(11th grade, 8-12 credits), Fishery Sale and Management(11th grade, 8-12 credits), General Fisheries Management(11th grade, 6-8 credits), Accounting Principle(11th grade, 4-6 credits), Marine Products Processing(12th grade, 4-8 credits), Commercial Law(12th grade, 4-6 credits), Management Practice(12th grade, 4-6 credits), Computer Practical Business(12th grade, 4-6 credits), Marketing(12th grade, 4-8 credits), General Marketing Management(12th grade, 6-8 credits), Marketing Information Practical Business(12th grade, 4-6 credits) Marketing Management I(12th grade, 4-6 credits), Marketing Management II(12th grade, 4-6 credits). If this curriculum is adopted, it will meet the demands of the educational aims and the industrial society.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.5 s.305
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• pp.27-34
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• 2005

Ventricular fibrillation(VF) is generally caused by chaotic behavior of electrical propagation in heart and may result in sudden cardiac death. In this study, we proposed a ventricular fibrillation detection algorithm based on support vector machine classifier, which could offer benefits to reduce the teaming costs as well as good classification performance. Before the extraction of input features, raw ECG signal was applied to preprocessing procedures, as like wavelet transform based bandpass filtering, R peak detection and segment assignment for feature extraction. We selected input features which of some are related to the rhythm information and of others are related to wavelet coefficients that could describe the morphology of ventricular fibrillation well. Parameters for SVM classifier, C and ${\alpha}$, were chosen as 10 and 1 respectively by trial and error experiments. Each average performance for normal sinus rhythm ventricular tachycardia and VF, was 98.39%, 96.92% and 99.88%. And, when the VF detection performance of SVM classifier was compared to that of multi-layer perceptron and fuzzy inference methods, it showed similar or higher values. Consequently, we could find that the proposed input features and SVM classifier would one of the most useful algorithm for VF detection.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.135-135
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• 2017

The Gramene database (http://www.gramene.org) is a powerful online resource for agricultural researchers, plant breeders and educators that provides easy access to reference data, visualizations and analytical tools for conducting cross-species comparisons. Learn the benefits of using Gramene to enrich your lectures, accelerate your research goals, and respond to your organismal community needs. Gramene's genomes portal hosts browsers for 44 complete reference genomes, including crops and model organisms, each displaying functional annotations, gene-trees with orthologous and paralogous gene classification, and whole-genome alignments. SNP and structural diversity data, available for 11 species, are displayed in the context of gene annotation, protein domains and functional consequences on transcript structure (e.g., missense variant). Browsers from multiple species can be viewed simultaneously with links to community-driven organismal databases. Thus, while hosting the underlying data for comparative studies, the portal also provides unified access to diverse plant community resources, and the ability for communities to upload and display private data sets in multiple standard formats. Our BioMart data mining interface enable complex queries and bulk download of sequence, annotation, homology and variation data. Gramene's pathway portal, the Plant Reactome, hosts over 240 pathways curated in rice and inferred in 66 additional plant species by orthology projection. Users may compare pathways across species, query and visualize curated expression data from EMBL-EBI's Expression Atlas in the context of pathways, analyze genome-scale expression data, and conduct pathway enrichment analysis. Our integrated search database and modern user interface leverage these diverse annotations to facilitate finding genes through selecting auto-suggested filters with interactive views of the results.

• Progress in Medical Physics
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• v.16 no.3
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• pp.148-154
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• 2005

Since the output of retina for visual stimulus is carried by neurons of very diverse functional properties, it is not adequate to use conventional single electrode for recording the retinal action potential. For this purpose, we used newly developed multichannel recording system for monitoring the simultaneous electrical activities of many neurons in a functioning piece of retina. Retinal action potentials are recorded with an extra-cellular planar array of 60 microelectrodes. In studying the collective activity of the ganglion cell population it is essential to recognize basic functional distinctions between individual neurons. Therefore, it is necessary to detect and to classify the action potential of each ganglion cell out of mixed signal. We programmed M-files with MATLAB for this sorting process. This processing is mandatory for further analysis, e.g. poststimulus time histogram (PSTH), auto-correlogram, and cross-correlogram. We established MATLAB based protocol for waveform classification and verified that this approach was effective as an initial spike sorting method.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.68-77
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• 2015

One of recent concerns for super-tall buildings is how to manage hoisting plans and equipment efficiently. Disasters are frequently occurred in relation to electromotive hoists and cranes which are commonly used in construction sites. For construction lifts, particularly, it is highly important to conduct regular inspections or prepare against breakdown in terms of safety. However, unfortunately the reality is that regular inspections are only flatly conducted according to operating hours only. A lift, whose life span is subject to the complicated considerations such as operating hours, loading condition, and the like of each component, is far too invalid as a means of maintenance. As a way to resolve this problem and improve its convenience and safety for users, this study intends to calculate individual inspection interval for the main components of lifts by measuring their actual operating hours with sensing technology and analyzing their historical data. The findings of study include calculation of inspection intervals for the main components of lifts and classification of components to check by the actual operating hours of lift (40, 90, 130, 400 hours), which are drawn up into tables. This will make an opportunity to suggest efficient maintenance measures by enabling prevention of safety accidents and enhancement of safety for workers. Also, it will lead to increasing productivity of works by eliminating sources of delaying the term due to the breakdown of lifts.

• Journal of Distribution Science
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• v.12 no.9
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• pp.101-112
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• 2014

Purpose - Recently, although corporate social responsibility activities have been increasing in size, they do not have to achieve qualitative improvements and can be passive and cost consuming. Therefore, companies should make quantitative as well as qualitative improvements in their efforts in corporate social responsibility activities. In this study, the classification of social responsibility activities in a variety of studies was analyzed through a more specific path than in previous studies. Corporate behavior image, social behavior image, and corporate contributions image were analyzed through a more detailed analysis of performance. This study suggests that more detailed and concentrated social responsibility activities be pursued by forming companies. Research design, data, and methodology - The purpose of study is to gauge the corporate need for a more intensive, specific area of CSR activities. For this purpose, the sample of consumers that were targeted for CSR activities, recognized as 261 persons, have been investigated. Through a theoretical discussion on previous research, nine hypotheses were established on corporate image, the influence of corporate performance on CSR, and the CSV regulation effect. In order to test the hypothesis, a survey was conducted on 261 male and female consumers who were targeted for CSR, being persons in their 20s to 40s. PASW Statistics 18.0 and AMOS 18.0 were used for statistical analysis. Results - Corporate behavior image was formed through legal responsibility activities and economic responsibility activities. In addition to economic responsibilities, ethical responsibilities and environmental responsibilities were confirmed to have influence on social behavior image. Corporate social responsibility and philanthropic responsibility were confirmed to have influence on economic contribution image. Corporate image has positive effects on brand attitude, corporate reputation, and corporate competition. In addition, when CSV awareness is high, consumers perceive corporate image only through economic responsibility. However, when CSV awareness is low, economic responsibility as well as legal responsibility through charitable activities form the corporate image that influences the brand attitude and corporate reputation, as well as corporate competitiveness. It would appear that the area of corporate social responsibility needs more intensive management for corporate image and corporate competitive advantage. Conclusion - First, the findings of this study show that each CSR activity has a different effect on corporate image and thus, the corporate image influences corporate performance in distinct ways, depending on the CSR activity. This implies that reactive strategies should be tailored to the required image. Second, there is a difference in CSV awareness between groups. When the CSV awareness is low, we can confirm that legal responsibility activities have an especially significant effect on corporate image, implying that corporations should pursue their economic objectives within legal regulations and need to invest significant time and effort for this. This study has limited generalization potential because the result of the model fit has insufficient reference value. In future research, we need to approach various dimensions of corporate performance.

• Journal of Embryo Transfer
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• v.28 no.4
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• pp.355-360
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• 2013

Precise, rapid and simple methods for species identification in animals are among the most important techniques in the livestock industry and research fields including meat classification. In this study, polymerase chain reaction (PCR) based molecular identification using inter species polymorphisms were examined by PCR-restriction fragment length polymorphism (RFLP) analysis for mitochondrial DNA (mtDNA) cytochrome b (CYTB) gene sequences among four mammalian livestock animals (cattle, horse, goat and pig). The results from PCR-RFLP analysis using the AluI restriction enzyme were also provided for the species-specific band patterns among CYTB gene sequences in these four species. The AluI-digestion for CYTB genes provided interesting migration patterns differentially displayed according to each species. Cattle and horse had one AluI-recognition site at different nucleotide positions and their AluI-digested fragments showed different band patterns on the gels. Pig had two AluI-recognition sites within the amplified CYTB sequences and produced three bands on the gels. Goat had no AluI-recognition site and was located at the same position as the uncut PCR product. The results showed the species-specific band patterns on a single gel among the four livestock animal species by AluI-RFLP. In addition, the results from blind tests for the meat samples collected from providers without any records showed the identical information on the species recorded by observing their phenotypes before slaughter. The application of this PCR-RFLP method can be useful and provide rapid, simple, and clear information regarding species identification for various tissue samples originating from tested livestock species.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.4_1
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• pp.311-318
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• 2014

The data of buildings and structures take over large portions of the mapping database with large numbers. Furthermore, those shapes and attributes of building data continuously change over time. Due to those factors, the efficient methodology of updating database for following the most recent data become necessarily. This study has purposed on extracting needed data, which has been changed, by using overlaying analysis of new and old dataset, during updating processes. Following to procedures, we firstly searched for matching pairs of objects from each dataset, and defined the classification algorithm for building updating cases by comparing; those of shape updating cases are divided into 8 cases, while those of attribute updating cases are divided into 4 cases. Also, two updated dataset are set to be automatically saved. For the study, we selected few guidelines; the layer of digital topographic map 1:5000 for the targeted updating data, the building layer of Korea Address Information System map for the reference data, as well as build-up areas in Gwanak-gu, Seoul for the test area. The result of study updated 82.1% in shape and 34.5% in attribute building objects among all.

• Korean Journal of Food Science and Technology
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• v.28 no.1
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• pp.44-52
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• 1996

Sensory properties of cooked rice were affected by the varieties and growing environments of the rice. Moistness, cohesiveness, and adhesiveness of cooked rice were highly and positively correlated each other, whereas firmness was negatively correlated with these attributes. Sixty rice samples which differed in varieties and/or growing environments were divided into four groups based on their textural properties through principal component analysis and cluster analysis. Quality type I showed the highest values for moistness, cohesiveness, and adhesiveness, and the lowest values for firmness of cooked rice. On the other hand, quality type IV showed just the opposite values. There was no significant difference among rice starches in amylose content (P<0.05). A17 (type III) and A09 (type IV) had higher blue values for starch and amylopectin than the other samples (type I and II). On the amylogram, these samples showed lower values for breakdown and higher values for setback than the other samples. Average degree of polymerization, average chain length, and average number of chains for amylose and amylopectin were 597-878 and 2660-3140, 140-230 and 17-19, and 3.1-4.9 and 140-170, respectively.