• Journal of Energy Engineering
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• v.29 no.2
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• pp.23-29
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• 2020

In this study, the last 10 years of news data on fine dust was collected and 80 topics are selected through LDA analysis. As a result, weather-related information made up the main words for the topic, and we can see that fine dust becomes a big issue below 10 degrees Celsius. The frequency of exposure to the media and the maximum concentration of fine dust are correlated with positive. Topics related to fine dust reduction measures and the government's comprehensive measures over the past decade, topics related to products such as air purifiers related to fine dust, topics related to policies protecting vulnerable people from fine dust, and topics on fine dust reduction through R&D were found to be major topics. Measures against fine dust as a social issue can be seen to be closely related to the government's policy.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.10
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• pp.1082-1089
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• 2006

This study describes a methodology to develop a environmental and geographical information system for managing a national scale which is supports the environmental fate modeling. This system was developed via the integration of environmental and geographical information database(DB) and the DB usage software. For the sound environmental management, the DB were constructed by extracting the geometrical figures-such as points, polylines, and/or polygons-based on the geographical information previously developed in Korea. Then it was connected with the environmental information. Based on the Visual Basic Complier, the software can be a useful tool for visualizing the DB, for searching the environmental & geographical information, and supporting the environmental fate modeling.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.1-17
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• 2015

In domestic game market, the video game market is getting smaller and also decreasing funds and high level developers. So we need the software that can help us to make more realistic and high quality contents by non-expert developer in poor environments. In this paper, we selected global studio's animations which were scored good evaluation by public and critics as a well-made emotional expression that can convey the emotion properly. We selected movements that express emotions from the animation scripts by using Ekman's 6 basic emotions and Greimas' dynamic predicate, and then we had analyzed and categorized with the data. We also analyzed the movements for which data we needed to create specific movements to express emotions by using 'Animation Layer' that used in Unity's blending process. And suggest concept of the program that to create the emotional expression movements by using those analyzed data.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.127-154
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• 2017

Large-scale and complex disasters have frequently occurred all over the world recently, and they are repeated every year. Accordingly, the need for the systematic management and utilization of raw-data and processing information in the past has increased. For this purpose, this study proposed a construction strategy for disaster and safety record information resources archives based on automatic acquisition, which can be used as a hub for disaster and safety information. Based on local and foreign case studies, several consideration factors for building the archives are determined. Finally, this study proposed four steps for constructing the archives. These are as follows: 1) complete enumeration survey of the disaster and safety record information resources, 2) automatic acquisition possibility study, 3) selection of the resources for preservation, and 4) automatic acquisition of metadata. The construction of the archives proposed in this study will facilitate integrated management, sharing, and use of scattered information resources on disaster and safety.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.55-62
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• 2016

Recently, users choosing a restaurant basedon information provided by blogs are increasing significantly. However, those of most blogs are unreliable since domestic restaurant blogs are occupied by advertising postings written by 'power bloggers'. Thus, in order to ensure the reliability of blogs, it is necessary to filter the advertising blogs which are sometimes false or exaggerated. In this paper, we propose the method of distinguishing the advertising blogs utilizing an automatic classification technique. In the proposed technique, we first manually collected advertising restaurant blogs, and then analyzed features which are commonly found in those blogs. Using the extracted features, we determined whether a given blog is advertising one applying automatic classification algorithms. Additionally, we select the features and the algorithm which guarantee optimal classification performance through comparative experiments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2961-2967
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• 2014

Nowadays, a private protection act has come into effect which demands for the protection of personal image information obtained by the CCTV. According to this act, the object out of interest has to be mosaicked such that it can not be identified before the image is sent to the investigation office. Meanwhile, the demand for digital videos obtained by CCTV is also increasing for digital forensic. Therefore, due to the two conflicting demands, the demand for a solution which can automatically mask an object in the CCTV video is increasing and related IT industry is expected to grow. The core technology in developing a target masking solution is the object tracking technique. In this paper, we propose an object tracking technique which suits for the application of CCTV video object masking as a postprocess. The proposed method simultaneously uses the motion and the color information to produce a stable tracking result. Furthermore, the proposed method is based on the centroid shifting method, which is a fast color based tracking method, and thus the overall tracking becomes fast.

• International Commerce and Information Review
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• v.4 no.1
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• pp.21-38
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• 2002

1999년 7 월부터 시행된 "전자거래기본법"은 전자문서와 전자거래의 효력을 법적으로 인정하고 있다. 그러나 본 법률이 제정될 당시 UNCITRAL의 전자상거래 모델법(1996)을 그대로 답습하여 영미 법계와 달리 대륙법계인 우리 나라의 실정에는 맞지 않는 조항이 포함되고 법률의 체계도 기본법 체계라고 보기에는 어려운 법률제정체계 문제점도 등장하고 있다. 이에 따라 본 연구에서는 전자문서의 개념과 데이터, 기록물 등의 다른 개념과의 관계 재정립을 통한 전자문서의 정의재조명과 동법에서의 "전자거래" 개념의 해석을 통한 전자거래 개념의 발전방향을 살펴본 후 현재 동법과 전자서명법과의 관계해석을 통해 법제정 추진체계 및 방향에 대하여 검토하였다. 전자문서와 관련해서는 기존의 문서개념과 기능을 생각하건대 현재 각종 법률에서 언급되고 있는 전자문서의 개념은 제한적으로 해석되어야 한다. 문서라는 개념을 넘어서는 새로운 개념도입이 필요하다면, 디지털컨텐츠의 포함한 전자적 기록 내지 전자적 매시지라는 개념도입이 불가피하다. 그러나 이러한 방식은 재산권을 표상하는 정보(컨텐츠, 화폐가치의 정보 등)와 기존의 문서와 서면을 대신하는 정보를 혼합시켜 이해하게 만들어 오히려 해석상 혼란을 가중시킬 수 있다. 따라서 기존의 문서나 서면을 대체하는 '전자문서'라는 개념은 그대로 사용하되, 기타 정책목적상 필요하다고 판단되는 디지털 컨텐츠, 화폐가치를 표상한 정보(전자화폐, 전자자금 정보 등) 등은 개별법률에서 이에 관한 정의를 하고 규율을 하는 것이 바람직할 것이다. 전자거래와 관련해서는 본 개념을 전자문서와 관련시켜 파악해서는 안된다는 것을 전제로 강학적 의미로 전자거래의 해석부분은 이해를 하되, 특정한 법률에는 그 법률제정목적에 맞는 전자거래의 개념정의를 통해 법률제정 내지 개정목적을 달성하면 될 것이다. 전자거래를 포괄하는 법률은 가능하지도 않고 이것이 가능하다 하더라도 결국 포함되어야 하는 전자거래 관련 규정을 선별하는 것도 쉽지 않을 것이다.

• Journal of the Korean GEO-environmental Society
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• v.13 no.8
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• pp.25-33
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• 2012

Although it is important to reflect the accurate information of the ground condition in the tunnel design, the analysis and design are conducted by limited information because it is very difficult to consider various geographies and geotechnical conditions. When the tunnel is under construction, examination of accurate safety and prediction of behavior are overcome the limits of predicting behavior by Artificial Neural Network in this study. First, construct the suitable structure after the data of field was made sure by the multi-layer back propagation, then apply with algorithm. Employ the result of measured data from database, and consider the influence factor of tunnel, like supporting pattern, RMR, Q, the types of rock, excavation length, excavation shape, excavation over, to carry out the reliable analysis through field applicability of Artificial Neural Network. After studying, using the ANN model to predict the shearing displacement, convergence displacement, underground displacement, Rock bolt output follow the excavation over of tunnel construction field, then determine the field applicability with ANN through field measured value and comparison analysis when tunnel is being constructed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1235-1242
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• 2019

While several machine learning technique has been implemented for Android malware categorization, there is still difficulty in analyzing due to overfitting problem and including of un-executable code, etc. In this paper, we introduce our implemented tool to address these problems. Tool is consists of approximately 1,500 lines of Java code, and perform Flow analysis on set of APIs, or on control flow graph. Our tool groups all the API by its relationship and only perform analysis on actually executing code. Using our tool, we grouped 39032 APIs into 4972 groups, and 12123 groups with result of including class names. We collected 7,000 APKs from 7 families and evaluated our feature reduction technique, and we also reduced features again with selecting APIs that have frequency more than 20%. We finally reduced features to 263-numbers of feature for our collected APKs.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.525-536
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• 2004

Gene expression profile is numerical data of gene expression level from organism, measured on the microarray. Generally, each specific tissue indicates different expression levels in related genes, so that we can classify disease with gene expression profile. Because all genes are not related to disease, it is needed to select related genes that is called feature selection, and it is needed to classify selected genes properly. This paper Proposes GA based method for searching optimal ensemble of feature-classifier pairs that are composed with seven feature selection methods based on correlation, similarity, and information theory, and six representative classifiers. In experimental results with leave-one-out cross validation on two gene expression Profiles related to cancers, we can find ensembles that produce much superior to all individual feature-classifier fairs for Lymphoma dataset and Colon dataset.