• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.373-380
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• 2022

The field of land surveying is changing dramatically due to the way data is processed, analyzed and presented. Also, there is a growing demand for digital spatial information, coming primarily from the GIS (Geographical Information System) user community. Such a demand has created a strong development potential for a new land surveying software. An overview of the development and capabilities of a land surveying software platform based on the Windows system, SurveyingMap, is presented. Among its many features, SurveyingMap provides a lot of adaptability for networks adjustment, geodetic and plane coordinates transformation, contouring, sectioning, DTM (Digital Terrain Model) generation, and large scale mapping applications. The system output is compatible with well known computer aided drafting (CAD) /GIS packages to expand its scope of applications. SurveyingMap is also suitable for non-technical users due to the user-friendly graphic user interface. The system could be used in engineering, architecture, GIS, and academic teaching and research, among other fields. Two applications of SurveyingMap, extension of field control and large scale mapping, for the case study area are established. The results demonstrate that the system is adaptable and reasonably priced for use by college and university students.

• Journal of the Korea Society of Computer and Information
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• 제28권4호
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• pp.53-63
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• 2023

The utilization of department information in bibliometric analysis using scientific and technological literature is highly advantageous. In this paper, the department information dataset was built through the screening, data refinement, and classification processing of authors' department type belonging to university institutions appearing in academic journals in the field of science and technology published in Korea, and the automatic classification model based on deep learning was developed using the department information dataset as learning data and verification data. In addition, we analyzed the co-authorship structure and network in the field of computer science using the department information dataset and affiliation information of authors from domestic academic journals. The research resulted in a 98.6% accuracy rate for the automatic classification model using Korean department information. Moreover, the co-authorship patterns of Korean researchers in the computer science and engineering field, along with the characteristics and centralities of the co-author network based on institution type, region, institution, and department type, were identified in detail and visually presented on a map.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.148-150
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• 2017

In recent years, "altmetrics", given birth by social media and the academic community, have become a metric source for measuring the academic impact of scientific literature. This study has undertaken a co-word analysis of author keywords in "Altmetrics" articles from the Web of Science database from 2012 to 2017 and used a co-occurrence matrix to create a clustering of the words. "Altmetrics" co-occurrence network map was derived and the research hotspots was analyzed.

• Journal of Astronomy and Space Sciences
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• 제36권3호
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• pp.199-211
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• 2019

This paper presents at the characteristics of publications in the Journal of Astronomy and Space Sciences from 1984 to 2018. Since its first publication, a total of 1,113 papers (~35 volumes) have been published up to December 2018. While the space astronomy field has made up a large portion of the total number of papers, the number of annually published papers in this field is decreasing. In contrast, the number of papers in the space environment field has been showing an increasing trend since 2013, accounting for more than 30% of the annual publications. The participation rate of foreign researchers has been maintained at greater than 20% since 2012. Despite the decrease in the number of paper per year, there are positive developments including sustained foreign researcher participation at greater than 20% and improvements in the impact factor. We believe that JASS has the potential to enter the distinguished level of international academic journals following a well-developed future road map.

• Korean Journal of Heritage: History & Science
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• 제43권3호
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• pp.180-207
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• 2010

Technological innovations in the 21th Century greatly change the society. The radical advance in computer science brought changes and increased efficiency into society in general. The field of archaeology is also highly influenced and attempts to improve previous manually conducted field survey and research have been actively made. In order to supplement incomplete data set from archaeological excavation, the ways to use computer have been highly explored. GIS is one of them. However, use of GIS has been limited to document locations and to produce distribution map of features using digital map. There are no proper guides to employ GIS for academic research, so that it is hard for beginners to learn how to make use of GIS. In this paper, functions of GIS are introduced even for beginners, including definition of GIS and its archaeological use. It is also explained how to get DEM from digital map to do spatial pattern analysis. Various GIS special pattern analyses using DEM and 3D simulation are presented, as well.

• Journal of Information Technology Services
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• 제21권6호
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• pp.53-72
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• 2022

As a trend of modern service industry, self-service has been widely concerned by all walks of life, but there is a lack of literature on systematic management of the overall research in this field. Recently, people's lifestyle has been forced to change due to the influence of COVID-19, while there have been some changes in the field of self-service research. Based on the Web of Science data source, this study takes the literature of self-service field before and after the outbreak of COVID-19 as the research object, and summarizes the development process, research status and future research trend of self-service field through the Citespace visualization tool. The research shows that firstly, academic circles continue to be enthusiastic about self-service field research, cooperation between countries is becoming more and more diversified. Secondly, the communication between researchers is becoming more and more intensive, and the cooperation between different disciplines gradually becomes the mainstream. Third, related research gradually shifted to the practical application of technology, the research perspective gradually shifted from the initial traditional retail perspective industries such as tourism services. Finally, the role of customer experience and participation behavior in self-service process is gradually emphasized.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제18권9호
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• pp.2161-2168
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• 2014

According to the growing interest in the digital convergence throughout society, the convergence of creative and new forms is emerging recently in various fields. Research methods to explore the diversity of academic studies have been studied in the field of study. As one of these methods, research on electronic cultural atlas that has features of convergence studies is gradually spreading. In this paper, we examine existing electronic cultural atlas and then, compare and analyze them. In details, existing electronic cultural atlas are comparative analyzed on the basis of base map, interface, and function. Through the results of comparative analysis, the efficient production of electronic cultural atlas are examined.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.576-590
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• 2023

Machine learning is widely used in various academic fields, and recently it has been actively applied in the medical research. In the medical field, machine learning is used in a variety of ways, such as speeding up diagnosis, discovering new biomarkers, or discovering latent traits of a disease. In the respiratory field, a relative regional air volume change (RRAVC) map based on quantitative inspiratory and expiratory computed tomography (CT) imaging can be used as a useful functional imaging biomarker for characterizing regional ventilation. In this study, we seek to predict RRAVC using various regular machine learning models such as extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and multi-layer perceptron (MLP). We experimentally show that MLP performs best, followed by XGBoost. We also propose several relative coordinate systems to minimize intersubjective variability. We confirm a significant experimental performance improvement when we apply a subject's relative proportion coordinates over conventional absolute coordinates.

• Journal of Korean Society for Quality Management
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• 제42권3호
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• pp.425-444
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• 2014

Purpose: This study aims to overcome the problem of private education market environment which is polarized into commercialized large private education institutions and small and medium sized private education institutions in a poor business environment, and develop systematic performance measurement model applicable for small and medium sized private education institutions. Methods: To develop the BSC which measures financial and non-financial indicator in a balanced manner and introduce the BSC into private education institutions that contain conflicting goals "EDUCATION" and "PROFIT". In particular, Utilizing the methodology of AHP, the priority of strategies and execution assignments are derived. Results: BSC model was developed and introduced by cooperating with executives of the private education institution. Moreover, the study permits to achieve the strategy, enterprise-wide vision and mission by deriving strategy map and applying it to the private education institution. To measure the performance of BSC model instruction, KPI corresponding to the strategic objectives of each perspective was derived. Conclusion: BSC model generally introduces to large-sized companies and public institutions. In this study, BSC model is developed by focusing on small and medium sized private institution. Furthermore, this study is more than simple model development, it makes a connection with achievement of strategic objectives, enterprise-wide vision and mission through strategy map and strategy execution method. Through the developed BSC model and strategy execution method, utilization plan in practice and customized model for private education institutions coexisting profit and non-profit objectives were developed, and academic implications were presented.

• Archives of design research
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• 제13권1호
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• pp.157-166
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• 2000

Since the cognitive science developed as a brandl of academic researdl, studies on human brains have flourished. Emotional features have been centered on the field of design, and the development of the design process has been diversified that makes use of the factors. The purpose of this study is to reflect the current trend and to convert the results into a method for designing. The researdl is based on the mind map techniques which spread like a trendy fashion, and tries to supply a theoretical explanation of how to overcome the fixed idea. Recognizing the importance of learned information in approaching a problem, I regarded the roles of left and right brain as analogue and digital images interpreting them by freely crossing language(digital images) and visual thought (analogue images), using mapping tedlniques. I pursued the research goal of the techniques focusing on the idea of using mapping. As a result of this. I established a logic system [figure 8] in that a proposition which starts as a problem introduction goes on until a problem solution, which is visualized with concept presentation, using a brainstorming technique. According to the suggested concept. I concluded that idea proliferation as a design demand can be solved by applying mapping techniques like one shown in figure 12.