• Journal of Digital Convergence
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• v.15 no.1
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• pp.117-127
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• 2017

Even well trained personnel may fall victim to panic, and a wrong assessment of the situation can turn a small accident into a huge disaster. At the disaster site, the event is commonly broadcasted in real time and is unfiltered. Thus, the commander of the site must be able to accurately assess the scene while not missing out on key considerations. Despite the necessity of good situational assessment, there is barely any research on this topic. This study utilizes METT-TC(Mission, Enemy, Troops, Terrain and weather, Time available, and Civil considerations) which is used by militaries to assess combat situations, and proposes MORT-TAC(Mission, Object, Resources available, Terrain and weather, Time available, Ability, and Civil considerations) as factors to consider in effectively controlling the disaster site. The standard model is used for assessing disaster scenes by applying the Delphi analytical method on each sub-factor of MORT-TAC.

• Journal of Korean Society of societal Security
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• v.4 no.2
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• pp.29-40
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• 2011

The objective of this paper is to develop an intelligent decision support system that is able to advise disaster countermeasures and degree of incidents on the basis of the collected and analyzed signs of disasters. The concepts derived from ontology, text mining and case-based reasoning are adapted to design the system. The functions of this system include term-document matrix, frequency normalization, confidency, association rules, and criteria for judgment. The collected qualitative data from signs of new incidents are processed by those functions and are finally compared and reasoned to past similar disaster cases. The system provides the varying degrees of how dangerous the new signs of disasters are and the few countermeasures to the disaster for the manager of disaster management. The system will be helpful for the decision-maker to make a judgment about how much dangerous the signs of disaster are and to carry out specific kinds of countermeasures on the disaster in advance. As a result, the disaster will be prevented.

• 한국지형공간정보학회:학술대회논문집
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• 2002.11a
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• pp.117-122
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• 2002

Change detection is a useful technology that can be applied to various fields, taking temporal change information with the comparison and analysis among multi-temporal satellite images. Especially, change detection that utilizes high-resolution satellite imagery can be implemented to extract useful change information for many purposes, such as the environmental inspection, the circumstantial analysis of disaster damage, the inspection of illegal building, and the military use, which cannot be achieved by lower middle-resolution satellite imagery. However, because of the special characteristics that result from high-resolution satellite imagery, it cannot use a pixel-based method that is used for low-resolution satellite imagery. Therefore, it must be used a feature-based algorithm based on the geographical and morphological feature. This paper presents the system that builds the change map by digitizing the boundary of the changed object. In this system, we can make the change map using manual or semi-automatic digitizing through the user interface implemented with a floating window that enables to detect the sign of the change, such as the construction or dismantlement, more efficiently.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1055-1060
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• 2018

In the wake of the 4th Industrial Revolution, the problem of career education in schools has become a big issue. While various studies are being conducted on services or technologies to effectively handle artificial intelligence and big data, in the field of education, data on students is simply processed. Therefore, in this paper, we are going to design and present career prediction programs for students using artificial intelligence and big data. Using observational data from students at the institute, the decision tree is constructed with the C4.5 algorithm known to be most intelligent and effective in the decision tree and is used to predict students' path of hope. As a result, the coefficient of kappa exceeded 0.7 and showed a fairly low average error of 0.1 degrees. As shown in this study, a number of studies and data will be deployed to help guide students in their consultation and to provide them with classroom attitudes and directions.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.19-26
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• 2010

In this paper, we suggest a efficient handwritten character verification method in on-line environments which automatically analyses two input character string and computes their similarity degrees. The proposed algorithm first applies the circular projection method to input handwritten strings and extracts their representative features including shape, directions, etc. It then calculates the similarity between two character strings by using an improved dynamic time warping (DTW) algorithm. We improved the conventional DTW algorithm efficiently through adopting the branch-and-bound policy to the existing DTW algorithm which is well-known to produce good results in the various optimization problems. The experimental results to verify the performance of the proposed system show that the suggested handwritten character verification method operates more efficiently than the existing DTW and DDTW algorithms in terms of the speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.5
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• pp.875-881
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• 2007

This study explores the attention effects of PPL(product placement) in multimedia contents. PPL has been attracted attention in multimedia as well as marketing communication field as a beneficiary model. For the research, multimedia screen is divided into 9 sections and the serial 9 digit($1{\sim}9$) is assigned to the each part of the screen. The visual exposure forms of each 9 digit are composed by 2-dimension(2D) and 3-dimension(3D). And the visual exposure patterns of each 9 digit are consisted of stopping and moving image. As a result, the 5th quartering has been proved the most attracted attention regardless of all exposure forms including 2D/3D and slopping/moving image. This means center of the multimedia screen is the best place for PPL. Especially in one digit moving screen the attention of the digit has reached the climax. This suggests moving PPL is able to get more attention than stopping. These results provide the most effective PPL position in the screen of the multimedia and PPL's visual exposure forms for maximizing multimedia user's attention. Finally, these findings can be a guideline fer message arrangements of the multimedia screen.

• Korean Journal of Remote Sensing
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• v.26 no.2
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• pp.209-220
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• 2010

One of the most difficult tasks in measuring oceanic conditions is to produce oceanic current information. In efforts to overcome the difficulties, various attempts have been carried out to estimate the speed and direction of ocean currents by utilizing sequential satellite images. In this study, we have estimated sea surface current vectors to the south of the Korean Peninsula, based on the maximum cross-correlation method by using sequential ocean color images of SeaWiFS chlorophyll-a. Comparison of surface current vectors estimated by this method with the geostrophic current vectors estimated from satellite altimeter data and in-situ ADCP measurements are good in that current speeds are underestimated by about 15% and current directions are show differences of about $36^{\circ}$ compared with previous results. The technique of estimating current vectors based on maximum cross-correlation applied on sequential images of SeaWiFS is promising for the future application of GOCI data for the ocean studies.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.633-640
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• 2021

Education related issues are social problems in which various groups and situations are intricately linked to each other. It is difficult to find issues by analyzing social phenomena related to education. Korean based text analysis can be analyzed in a quantitative. With the development of text analysis techniques, research results have been recently achieved, and it can be fully utilized to derive educational issues from text data in Korean. In this study, petition articles in the field of childcare/education were collected on the online-board of the Blue House National Petition website, and text analysis was used to derive issues in the education world. The analysis derived 6 topics through Latent Dirichlet Allocation(LDA) among topic modeling techniques. The association rules of major keywords were analyzed and visualized as graphs. In addition to deriving educational issues through the existing questionnaire, it can provide implications for future research directions and policies in that issues can be sufficiently discovered through text-based analysis methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.645-656
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• 2019

As the number of cyber threats to control systems increases, the need for control system cyber security is also increasing. Currently, various cyber security related education and control system education are being conducted. However, it does not fully reflect the characteristics of the control system and the characteristics of the participants. In this paper, we propose a training system and technique to enhance the control system cyber security capability. To this end, we analyze the limitations of existing security education. Based on the results, we develop a control system training environment model based on the IEC62443 Standard and develop an ARCH based training method.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.205-213
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• 2019

The purpose of this study was to investigate the perception and needs on development of lecture to promote creative personality of pre-service teachers. The subjects were 161 students in 4th grade in early childhood education department. The questionnaire was composed of 3 items of 'recognition of creativity personality lecture' and 7 items of 'demand of development for creativity personality lecture'. The data was analyzed frequency and percentage by descriptive statistics. In the results, first, most of pre-service teachers recognized the importance on development of creativity personality lecture, and support of 'development and application of creativity personality lecture'. They recognized that creativity personality lecture was effective. Second, more than half of them responded that they would take creativity personality lecture, and this lecture was most appropriate 2 courses and 3 hours 10 weeks per semester. They demanded a lot of propensity element among creativity education elements, convergence classes in various fields, teaching medium for 'movie and music', and 'portfolio evaluation'.