• Journal of Information Management
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• v.43 no.2
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• pp.43-66
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• 2012

The purpose of this study is to see the intellectual structure in the field of veterinary sciences in Korea, using author profiling analysis(APA), a bibliometric approach. Three journals are selected on the basis of citation data, exchanging most citations with Korean Journal of Veterinary. And then, 50 authors who published most articles at selected journals during the given period of time were chosen. The analysis of similarity and dissimilarity among authors by comparing co-word appearance patterns from article title, abstracts, and keywords was made. Authors can be grouped 11 minor clusters under 4 major clusters, depending on their interests in the area of veterinary sciences in Korea. The subjects for each cluster at the veterinary sciences are decided by the matching the keyword, representing author's research interest. As a result, it is possible to figure out the current research trends and the researcher network in the field of veterinary sciences.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.32 no.4
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• pp.391-394
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• 1999

A feeding experiment was conducted using juvenile abalone (Haliotis discus hannai) to investigate the optimum level of supplemental vitamin and/or mineral premixes in a formulated diet for practical feed formulation. Three replicate groups of abalone averaging 100 mg were fed the diets containing different levels of vitamin premix ($0\%,\;0.5\%,\;1.0\%$ and $2\%$) and /or mineral premix($0\%,\;2\%,\;4\%$ and $6\%$) for 4 months. Survival rates of abalone showed no distinctive trend by the levels of dietary vitamin premixes. Weight gain, shell growth and soft body weight of abalone were not significantly affected by the different dietary vitamin and/or mineral premixes (P>0,05). Moisture, protein and lipid contents of soft body were influenced by experimental diets (P<0.05) but these differences also had no definite trends by levels of vitamin and/or mineral premixes. These data indicate that supplemental vitamin or mineral premix is not needed in this formulated diet, therefore price of diet for juvenile abalone could be reduced.

• Journal of agriculture & life science
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• v.45 no.2
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• pp.135-145
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• 2011

Recently, silk farming trends are changed from silk production to functional production because of a slump in only silk production. The 'Functional silk farming production promotion and assistant ACT', which has been enacted and effective since 2009, provides an environment to create the integrated functional sericulture production program. The purpose of this study is to derive the current industry status and the development strategy resulting in promoting and creating a new value-added industry. The main items to be improved in current sericulture industry are production infra and facilities, post-harvest storage technology, processing and marketing, sericulture farming products trading, exporting and merchandised promoting, farm management and farm income etc. Future sericulture industry should be focus on Mulberry production and Processing instead of silk farming only for a new valued added industry.

• Korean Journal of Remote Sensing
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• v.26 no.4
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• pp.451-464
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• 2010

In these days, application cases of national or international standards in the field of geo-spatial information based on information technology are being increased. Especially, demands regarding distribution, dissemination and interoperability of contents using geo-spatial images and these information resources are also on the increasing stage, so that standards as core elements supporting these trends are getting to be emphasized. However, interests on standards of geo-spatial image information processing including remotely sensed images and efforts for development and application of these standards are not enough, domestically. In this study, international standards for geo-spatial image information in ISO and OGC as well as the domestic status were reviewed with the summaries concerned. Comparison with international and domestic standards shows that most national standards were partly modified and translated with international ones, but there are rare cases of application plans or studies concerned in this field. If these situations are continued, industrial stack or applications of technologies regarding standards are getting lesser. Therefore, it is necessary to analyze some problems and to study strategy to overcome them, and the result of this study could be used for the initial works.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.6
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• pp.93-101
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• 2019

This study aims to analyze the influences of applications of two different evapotranspiration (ET) estimation methods on the irrigation water requirements (IWR) for paddy rice and water supply reliability of agricultural reservoirs. The modified Penman (MP), traditional method, and the Penman-Monteith (PM), the new adopted method, were applied on 149 reservoirs located in Honam province for this study. The weather date was used from 1987 to 2016, and analysed the trends of temperature and rainfall during rice growing season between past and current 10 years respectively. The increased average temperature and rainfall were observed from the current 10 years compared to the past years. This phenomena impacts on the results of ET and IWR estimations with decreased IWR obtained from high rainfall regions and increased ET obtained high temperature regions. For the comparisons of application results of two ET approaches, the PM method showed lower ET and IWR, and hence more reliable storage capacity of the reservoirs respect to water supply to paddy fields. The results also showed that the influences of different ET methods applications on the water supply reliability of reservoirs are negligible for the cases of over 3.7 watershed ratio and 670 mm unit reservoir storage, while significant variations of the results obtain from the applications between two ET approaches for the opposite cases. Further studies are necessary to consider various field conditions for practical applications of the PM method estimating ET in the fields of paddy farming.

• Smart Structures and Systems
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• v.24 no.5
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.153-161
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• 2018

Given that reviewing domestic articles on dating violence since 2009 has not been produced in Korea compared to the seriousness of dating violence, this study aimed to suggest research directions for future studies by exploring trends of recent domestic academic literature on dating violence. For this, the study searched for domestic articles in academic data base using key words related to dating violence. Using content analysis, 70 articles selected were analyzed according to year of publication, research subjects, themes, and methods. The results showed that steady academic effort has been made on this topic and university students were studied the most. The theme of analyzing factors affecting dating violence behavior appeared the most and empirical research was more frequent than non-empirical ones. The results suggested a need to extend the scope of research themes, subjects and methods in this field.

• Journal of the Society of Naval Architects of Korea
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• v.32 no.4
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• pp.9-18
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• 1995

The use of CAD/CAM systems is growing fast in the shipbuilding industry. To develope a geometric modeler, the existing CAD/CAM systems have been analysed. Because existing systems have closed architectures, it is not easy to investigate the internal structures. However, new trends in the software engineering, open architectured systems, pose some possibility to develope the geometric modeler. Several geometric modelers are analysed to extract component functions and modules. ACIS of the Spatial Technology, AIS of the CAM-I consortium, the STEP part for the geometry and topology, CAD*I of the ESPRIT project, and domestic modelers are investigated. Based on this analysis, a reference model which shows the framework of the modeler is proposed. With the data structure supporting non-manifold topologies, the reference model can be used to encourage a cooperative development program.

• Economic and Environmental Geology
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• v.54 no.5
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• pp.605-613
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• 2021

When crushing rocks to produce aggregates, solid stone dust or sludge is generated as a by-product. These by-products are classified as waste and are not utilized, and most of them are disposed of landfills. This by-product differs in mineral composition, chemical composition, and physical properties depending on the rock type and aggregate production process. Therefore, if a technology that can make good use of the inherent physical or chemical properties of by-products is developed, economic and environmental benefits can be achieved instead of disposal. In this study, stone dust and sludge were collected from domestic aggregate producers and physical and chemical properties were investigated by performing XRD mineral analysis, particle size analysis, and chemical analysis. In addition, the research trend was identified through a domestic and international research case studies on the use of stone powder and sludge.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.683-690
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for papers analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected papers, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.