• Journal of the Korea Institute of Building Construction
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• v.22 no.1
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• pp.115-123
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• 2022

Statistics on the occurrence of fires in residential facilities over the past 10 years, show that approximately 40% are fires in apartment buildings. To prevent the spread of fire and support evacuation in apartment housing, the fire resistance performance and performance design of fire doors are becoming more important. This study established a database using 395 quality inspection reports from 2016 to 2020, which passed the fire performance test, and derived the fire door performance-influencing factors through an analysis of the structure (12 elements) of the fire door. As a result, the effect of core material, adhesive, hinge type, blowing agent, etc. was confirmed in 287 pass cases. On the other hand, it was confirmed that the occurrence of flames and crevices in the 108 cases of failure were the major failure factors in the fire door fire resistance test. Fire doors are composed of composite materials to prevent failure of fire resistance performance, and efficient design and quality control are required through standardization of components.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.11-17
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• 2022

The development of digital technology is changing many things in our daily lives and the marketing environment of companies. Therefore, in this research, we grasp the recent overseas research trends of digital marketing. For that purpose, I would like to utilize SCOPUS, a foreign academic database, to grasp the research trends of digital marketing. As a result of the analysis, it was found that the number of digital marketing papers has been increasing continuously since 2013. In addition, as a result of topic modeling analysis, it was found that the 2nd and 4th topics were similar among the 6 topics in total, and the main topics were digital, marketing, research and so on. The results of this research are significant in that they provided information on digital marketing research trends to researchers and business practitioners. In addition, the results of this study provide practical suggestions for corporate marketers to recognize and leverage the importance of digital marketing.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.9-16
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• 2023

The purpose of this study is to analyze research trends on ESG (Environmental, Social, and Governance), and to present a direction for companies and investors to use ESG information. To this end, text mining, one of the atypical data mining techniques, was used for analysis. Thesis abstracts from January 2014 to February 2023 were collected from the SCOPUS database, and Economics, Econometrics and Finance were the most common. The United States and China published the most ESG papers, and Korea published the 6th most papers in the world. This study is meaningful in that it analyzed the main research trends of ESG using text mining techniques such as LDA and topic modeling. It was confirmed that ESG is being conducted in various fields, not in a specific field, and it is differentiated from previous studies in that it analyzed various influencing factors and ripple effects of ESG.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.1011-1017
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• 2006

It is so sensitive that the wetland ecosystem very weak in artificial interference and environment change. wetlands are a transitional zone between aquatic and terrestrial ecosystems. This natural property is important to people and life. It is necessary to preservation and protection of the wetland with a countermeasure. we really need to Environment-GIS (E-GIS) and digital map which is included correct position, attribute data and range of the wetland. In this study, we take priority of making a database of wetland management. Moreover, we standardize a digital map production of wetland in our research and we improve accuracy of control survey using GPS surveying. The main purpose of this study is to suggest a pre-estimated wetland that have not yet been discovered. by analysing terrain, geological feature, a geographical distribution of plants and animals using GIS.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.65-73
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• 2024

This paper aims to identify the major research trends in organizational effectiveness over the past 20 years. For this purpose, SCOPUS, an international academic database provided by Elsevier, was used to identify research trends in organizational effectiveness over the past 24 years (2000~2023). According to the frequency analysis, there were 2,789 cases of organizational, 2,714 cases of effectiveness, 850 cases of management, 689 cases of performance, 632 cases of organizations, and 597 cases of leadership. Trend analysis. While effectiveness and organizational have been consistently researched, the trends of leadership and management have been declining in recent years. LDA analysis shows that effectiveness and organizational are important topics. This shows that it is important to be able to predict the future when it is difficult to predict the future. The results of this study can be used as a guide for companies to establish organizational management at a strategic level and improve organizational effectiveness.

• Journal of Industrial Convergence
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• v.22 no.7
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• pp.23-30
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• 2024

This study aims to identify the major recent research trends on person-organizational fit, and uses SCOPUS, an academic database, to identify research trends on person-organizational fit over the past 24 years (2000-2023). Frequency analysis showed that organizational was the most important term with 2,789 articles, followed by effectiveness with 2,714 articles, management with 850 articles, performance with 689 articles, organizations with 632 articles, and leadership with 597 articles. The trend analysis shows that research on fit, organization, and job is steadily increasing. The LDA analysis showed that fit, personorganization(po), and job are important topics, which shows that fit, i.e., the alignment of an individual's goals or values with the organization's goals or values, is important in the operation of an organization. The results of this study can be used as a useful guideline for organizations to establish measures to attract and cultivate excellent human resources and create organizational performance.

• The Journal of Bigdata
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• v.4 no.2
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• pp.141-158
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• 2019

Based on RBV(Resource Based View), IT of SMEs classified into IT resource and capabilities. And We confirmed that capabilities and resources affected each performance. In other words, based on the questionnaire of SMEs and IT professionals, divides capability from the overall IT resource that are possessed by SMEs. Among the four attributes (value, rare, non-substitutability, imperfect imitability) presented by Barney (1991), this study targeted at value and imperfect imitability and investigated how SMEs recognize IT resource and capability. Furthermore, this study tests how IT resource and capability influence corporate performance. The result of this study finds that resources that are needed on "Knowledge-based" are classified into IT capability, otherwise classified into IT resource. Analysis shows that server, DB(database), system administrators, programmers, CIO, BA were capabilities, Desktop PC, PC software, software for salary and accounting management, e-commerce, Homepage, and network inside th enterprise were resources. Secondly, this study reveals that both IT resource and IT capability affected company performance (employee satisfaction, CEO satisfaction). IT is certainly having an impact on corporate performance. In conclusion, resource can be either IT resource or IT capability based on they way of utilization. And both IT resource and IT capability have an influence on corporate performance (employee job satisfaction, CEO satisfaction). Therefore, when considering IT investment, a company can purchase necessary IT resource and actively utilize it to be IT capability, which can have an influence on corporate performance in return.

• Journal of Korean Society of Transportation
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• v.34 no.2
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• pp.158-167
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• 2016

This study evaluates potential sources of errors in k-NN(k-nearest neighbor) algorithm such as procedures, variables, and input data. Previous research has been thoroughly reviewed for understanding fundamentals of k-NN algorithm that has been widely used for short-term traffic states prediction. The framework of this algorithm commonly includes historical data smoothing, pattern database, similarity measure, k-value, and prediction horizon. The outcomes of this study suggests that: i) historical data smoothing is recommended to reduce random noise of measured traffic data; ii) the historical database should contain traffic state information on both normal and event conditions; and iii) trial and error method can improve the prediction accuracy by better searching for the optimum input time series and k-value. The study results also demonstrates that predicted error increases with the duration of prediction horizon and rapidly changing traffic states.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.117-127
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• 2020

The Early Warning System for agrometeorological hazard of the Rural Development Administration (Korea) forecasts detailed weather for each farm based on the meteorological information provided by the Korea Meteorological Administration, and estimates the growth of crops and predicts a meteorological hazard that can occur during the growing period by using the estimated detailed meteorological information. For verification of early warning system, automated weather observation network was constructed in the study area. Moreover, a real-time web display system was built to deliver near real-time weather data collected from the observation network. The meteorological observation system collected diverse meteorological variables including temperature, humidity, solar radiation, rainfall, soil moisture, sunshine duration, wind velocity, and wind direction. These elements were collected every minute and transmitted to the server every ten minutes. The data display system is composed of three phases: the first phase builds a database of meteorological data collected from the meteorological observation system every minute; the second phase statistically analyzes the collected meteorological data at ten-minutes, one-hour, or one-day time step; and the third phase displays the collected and analyzed meteorological data on the web. The meteorological data collected in the database can be inquired through the webpage for all data points or one data point in the unit of one minute, ten minutes, one hour, or one day. Moreover, the data can be downloaded in CSV format.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.1
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• pp.113-119
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• 2014

Recently, R.O.K. Navy is increasing re-usability of design data and application of M&S(Modeling and Simulation) through the establishment of collaborative product development environment focused on Naval Ship Product Model(NSPM). As a result, the reliability of the result of design is getting better, and furthermore, a study to improve quality of construction through simulation of production/operation is in progress. Accordingly, the database construction of design data and the DB(Database) quality become important, but there was not research related to those or it was just initial state. This paper conducted research about system of the quality verification process of shape elements which compose NSPM based on the quality verification guideline of NSPM as the result of the precedent study. The hull surface was limited as verification object. The study to verify two things that application of basic drawing by the cad model of hull surface, and whether there is error in the geometric quality of cad model was progressed. To achieve this goal, the verification criteria and algorithm were defined and the prototype system which is based on was developed.