• Korean Journal of Remote Sensing
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• v.37 no.1
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• pp.153-160
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• 2021

Land Surface Temperature (LST) is the radiological surface temperature which observed by satellite. It is very important factor to estimate condition of the Earth such as Global warming and Heat island. For these reasons, many countries operate their own satellite to observe the Earth condition. South Korea has many landcovers such as forest, crop land, urban. Therefore, if we want to retrieve accurate LST, we would use high-resolution satellite data. In this study, we made LSTs with 4 LST retrieval algorithms which are used widely with Landsat-8 data which has 30 m spatial resolution. We retrieved LST using equations of Price, Becker et al. Prata, Coll et al. and they showed very similar spatial distribution. We validated 4 LSTs with Moderate resolution Imaging Spectroradiometer (MODIS) LST data to find the most suitable algorithm. As a result, every LST shows 2.160 ~ 3.387 K of RMSE. And LST by Prata algorithm show the lowest RMSE than others. With this validation result, we choose LST by Prata algorithm as the most suitable LST to South Korea.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.47-64
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• 2021

This study statistically examined the factors (individual factors, family factors, high school factors, college factors, and social factors) that affect the choice of the major by surveying with students who have entered the library and information science departments of colleges in Korea. The results were as follows. First, it was confirmed that individual factors and social factors had significant effects on the choice of the library and information science major in college. Second, it was found that individual factors had a greater influence on the choice of the library and information science major than social factors do. Third, individual factors had significant positive(+) effects on the choice of the library and information science major at colleges, whereas it was verified that social factors had significant negative(-) effects on the choice of the library and information science major at colleges. The findings of this study can be used as useful basic data for library and information science departments of colleges in Korea to prepare for a decrease in the number of college entrants in the coming years.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.166-172
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• 2021

The purpose of this study is to identify the impact of informatization minds of college students majoring in sports on information development efforts and academic achievement. Accordingly, a survey was conducted on 200 college students majoring in physical education at D University, and 197 students were selected as the final effective samples. Data processing was conducted using SPSS 23 for frequency analysis, reliability analysis, correlation analysis, and regression analysis. The results are as follows: First, recognition of the necessity of informatization education, a subfactor of the informatization mind, has a positive impact on informatino development efforts. Second, recognition of the necessity of informatization education, understanding and utilization of informatization concepts among sub-factors of informatization minds have a positive impact on the major learning achievement. Third, all the conversational factors in the informatization mind have a positive impact on study problem resolution. Fourth, information development efforts have a positive impact on the major learning achievement and the study problem resolution. Therefore, efforts are needed to increase the information mindset of college students major in sports.

• Journal of the Korean Society for Library and Information Science
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• v.10
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• pp.71-120
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• 1983

In this study, a model curriculum for the Library and Information Science programs in Junior Colleges is presented by comparing those curricula of the Republic of Korea, the United States of America, England and Japan. In Korea, 80 credits are required for graduate of Junior College and 60 credits of that total credits are for major courses. At Toshokan Danki Daikagu in Japan, 73 credits are opened for the Department of Library Science and 87 credits for the Department of Library and Information Science respectively. In the United States of America, 30 credits for major courses out of 90 total credits are opened at Lansing Community College and 24 credits for major courses out of 60-64 credits at Mesa Community College distinctively. On the basis of the various analyses, the following principles are applied in designning the model curriculum; (1) Possibly 3 credits per subject are assigned, (2) Major credits for graduate are 60-64 credits including possible optional subjects, (3) 20 percents of those 60-64 credits shall be applied for electives, so that 72-78 credits are assigned for major, (4) In order to combine theory and practice, and to select practice areas as required major, the ratio between required and elective must be adjusted, (5) In order to avoid duplication of subject, adequate individuality must be provided, (6) The Information Science areas must be dealt with in Library Science since computer systems are being rapidly adopted in libraries and the education for resources of materials and foreign languages are also important for successful fulfillment of mediator's roles between materials and users. Therefore the following model curriculum is suggested; 31 credits in 11 subjects for required major, 46 credits in 18 subjects for electives in major, total 77 credits for 29 subjects are established, and it includes such areas as material organization, foreign languages, resources of materials, library management, information science, fundamental studies, services and practice.

• Korean Journal of Remote Sensing
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• v.37 no.1
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• pp.161-167
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• 2021

This paper presents the method to quantitatively evaluate the uncertainty of the semi-empirical Bidirectional Reflectance Distribution Function (BRDF) model for Himawari-8/AHI. The uncertainty of BRDF modeling was affected by various issues such as assumption of model and number of observations, thus, it is difficult that evaluating the performance of BRDF modeling using simple uncertainty equations. Therefore, in this paper, Monte-Carlo method, which is most dependable method to analyze dynamic complex systems through iterative simulation, was used. The 1,000 input datasets for analyzing the uncertainty of BRDF modeling were generated using the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) Radiative Transfer Model (RTM) simulation with MODerate Resolution Imaging Spectroradiometer (MODIS) BRDF product. Then, we randomly selected data according to the number of observations from 4 to 35 in the input dataset and performed BRDF modeling using them. Finally, the uncertainty was calculated by comparing reproduced surface reflectance through the BRDF model and simulated surface reflectance using 6S RTM and expressed as bias and root-mean-square-error (RMSE). The bias was negative for all observations and channels, but was very small within 0.01. RMSE showed a tendency to decrease as the number of observations increased, and showed a stable value within 0.05 in all channels. In addition, our results show that when the viewing zenith angle is 40° or more, the RMSE tends to increase slightly. This information can be utilized in the uncertainty analysis of subsequently retrieved geophysical variables.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.595-597
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• 2019

DCU챗봇은 카카오 i 오픈빌더 API를 활용하여 24시간 어디서든 카카오톡이 설치된 스마트폰만 있다면 대구가톨릭대학교의 모든 정보를 얻을 수 있는 챗봇이다. 이 챗봇은, 카카오톡 채널을 통해 친구추가 후 이용 가능하며, Node.js와 카카오 i 오픈빌더 API를 통하여 대구가톨릭대학교의 학식, 스쿨버스, 학교 주변 버스정류장의 실시간 버스 도착 정보, 날씨 & 미세먼지, 학사일정, 교내 전화번호, 공지사항, 지도 등의 기능을 네이버와 기상청, 대구 시내버스 정보를 크롤링 후 가공하여 서비스를 제공한다.

• Journal of the Korean Society for Library and Information Science
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• v.24
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• pp.221-261
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• 1993

The production, storage, processing and distribution of information is fast becoming a major economic activity for many nations of the world. The basic idea of this study is that knowledge and information are becoming the strategic resources and transforming agents in the information society. Therefore, in order to cope with successfully the transition toward the information society, the development of measurement tools and social indicators is essential. The purpose of this study is to fulfill three major objectives with regard to the analysis of the information sector in the information society. (1) This study suggests the theoretical definitions and social indicators of the information society. (2) This study investigates an empirical study of the information sector consisting of information industry, information workforce, and information indicator of the selected nations. (3) It advances theoretical explanations of the major factors of the growth of the information sector, and develops theoretical hypothesis and explanations of the information society.

• Korean Journal of Remote Sensing
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• v.39 no.1
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• pp.77-86
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• 2023

Ship detection is widely used in areas such as maritime security, maritime traffic, fisheries management, illegal fishing, and border control, and ship detection is important for rapid response and damage minimization as ship accident rates increase due to recent increases in international maritime traffic. Currently, according to a number of global and national regulations, ships must be equipped with automatic identification system (AIS), which provide information such as the location and speed of the ship periodically at regular intervals. However, most small vessels (less than 300 tons) are not obligated to install the transponder and may not be transmitted intentionally or accidentally. There is even a case of misuse of the ship'slocation information. Therefore, in this study, ship detection was performed using high-resolution optical satellite images that can periodically remotely detect a wide range and detectsmallships. However, optical images can cause false-alarm due to noise on the surface of the sea, such as waves, or factors indicating ship-like brightness, such as clouds and wakes. So, it is important to remove these factors to improve the accuracy of ship detection. In this study, false alarm wasreduced, and the accuracy ofship detection wasimproved by removing wake.As a ship detection method, ship detection was performed using machine learning-based random forest (RF), and convolutional neural network (CNN) techniquesthat have been widely used in object detection fieldsrecently, and ship detection results by the model were compared and analyzed. In addition, in this study, the results of RF and CNN were combined to improve the phenomenon of ship disconnection and the phenomenon of small detection. The ship detection results of thisstudy are significant in that they improved the limitations of each model while maintaining accuracy. In addition, if satellite images with improved spatial resolution are utilized in the future, it is expected that ship and wake simultaneous detection with higher accuracy will be performed.

• Korean Journal of Remote Sensing
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• v.37 no.1
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• pp.85-95
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• 2021

Recently, as data mining and artificial neural network techniques are developed, analyzing large amounts of data is proposed to reduce the dimension of the data. In general, empirical orthogonal function (EOF) used to reduce the dimension in the ocean data and recently, Self-organizing maps (SOM) algorithm have been investigated to apply to the ocean field. In this study, both algorithms used the monthly Sea level anomaly (SLA) data from 1993 to 2018 around the East Asia Coasts. There was dominated by the influence of the Kuroshio Extension and eddy kinetic energy. It was able to find the maximum amount of variance of EOF modes. SOM algorithm summarized the characteristic of spatial distributions and periods in EOF mode 1 and 2. It was useful to find the change of SLA variable through the movement of nodes. Node 1 and 5 appeared in the early 2000s and the early 2010s when the sea level was high. On the other hand, node 2 and 6 appeared in the late 1990s and the late 2000s, when the sea level was relatively low. Therefore, it is considered that the application of the SOM algorithm around the East Asia Coasts is well distinguished. In addition, SOM results processed by SLA data, it is able to apply the other climate data to explain more clearly SLA variation mechanisms.

• Journal of the Korean Society for information Management
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• v.7 no.2
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• pp.58-77
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• 1990

The production, processing and distribution of information is fast becoming a major economic activity for many nations of the world. The basic idea of this study is that knowledge and information are becoming the strategic resources and transforming agents in the information society. The purpose of this study is to fulfil two major objectives with regard to the analysis of the information sector in the information society. (1) This study investigates an empirical study of the information sector both the information work force, and information goods and services of the selected nations. (2) It advances theoretical explanations of the major factors of the growth of the information sector, and develops a new classification model of the information society.