• Title/Summary/Keyword: 시각정보선택

Search Result 358, Processing Time 0.033 seconds

Convolutional Neural Network-based Malware Classification Method utilizing Local Feature-based Global Image (로컬 특징 기반 글로벌 이미지를 사용한 CNN 기반의 악성코드 분류 방법)

  • Jang, Sejun;Sung, Yunsick
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2020.05a
    • /
    • pp.222-223
    • /
    • 2020
  • 최근 악성코드로 인한 피해가 증가하고 있다. 악성코드는 악성코드가 속한 종류에 따라서 대응하는 방법도 다르기 때문에 악성코드를 종류별로 분류하는 연구도 중요하다. 기존에는 악성코드 시각화 과정을 통해서 생성된 악성코드의 글로벌 이미지를 사용해 악성코드를 각 종류별로 분류한다. 글로벌 이미지를 악성코드로부터 추출한 바이너리 정보를 사용해서 생성한다. 하지만, 글로벌 이미지만을 사용해서 악성코드를 각 종류별로 분류하는 경우 악성코드의 종류별로 중요한 특징을 고려하기 않기 때문에 분류 정확도가 떨어진다. 본 논문에서는 악성코드의 글로벌 이미지에 악성코드의 종류별 특징을 나타내기 위한 로컬 특징 기반 글로벌 이미지를 사용한 악성코드 분류 방법을 제안한다. 첫 번째, 악성 코드로부터 바이너리를 추출하고 추출된 바이너리를 사용해서 글로벌 이미지를 생성한다. 두 번째, 악성 코드로부터 로컬 특징을 추출하고 악성코드의 종류별 핵심 로컬 특징을 단어-역문서 빈도(Term Frequency Inverse Document Frequency, TFIDF) 알고리즘을 사용해 선택한다. 세 번째, 생성된 글로벌 이미지에 악성코드의 패밀리별 핵심 특징을 픽셀화해서 적용한다. 네 번째, 생성된 로컬 특징 기반 글로벌 이미지를 사용해서 컨볼루션 모델을 학습하고, 학습된 컨볼루션 모델을 사용해서 악성코드를 각 종류별로 분류한다.

A Study on Principle for Use of Multimedia in order to have Effective Communication in Information Design (정보디자인에서 효과적 커뮤니케이션을 위한 멀티미디어 사용원리에 관한 연구)

  • Lee, Il-Soon
    • Cartoon and Animation Studies
    • /
    • s.13
    • /
    • pp.255-267
    • /
    • 2008
  • Recently in the field of information design use of multimedia Including animation has been rapidly increased. And its application is expanding in the field of design nevertheless relevant research in this field is scant. In particular research on which characteristics contribute to improvement for effect of information communication is negligible. Until now designers' interest was mainly focused on visual perfection of screen such as diversity and originality. Actually the aspect of recognition of design was mostly overlooked. But considering ultimate purpose of Information design is accurate communication of information thus there should be more endeavor for research on man's visual recognitive faculty and memory in order to Improve power of communication of information for the purpose of reducing confusion of user before its originality and diversity. For this reason this author in this treatise attempted to examine possible impact of multimedia in information design on recognition of user and communication based on theory of effectiveness of media and also attempted to identify how maximize its effect under different circumstances. Theories on effectiveness of media can be summed up as that well- advanced information of multimedia should be analysed from diverse standpoints on relevancy to tasks and recognitive relevancy rather than its simplification from the standpoint of richness of media. For optimal interface design unnecessary recognitive load should be eliminated and information should be structured by laking maximum advantage of working memory of limited quantity. Also there will be need for selection of proper media and suggestion of expressive method to enable building accurate and successful mental image. In this treatise this author attempted to contribute to designer's decision making in future through examining theories on effectiveness of media in connection with the question of which information technology should be used in order to heighten effect of information communication appropriate to information design.

  • PDF

Development of Shoes' Easy-Order Prototype According to Foot Types of Juveniles In On-Line 3D Virtual Reality (청소년의 발의 형태 분류에 따른 On-line 3D 가상현실에서의 신발류 이지오더 Prototype 개발)

  • Choi, Sung-Won;Lim, Ji-Young
    • The Journal of the Korea Contents Association
    • /
    • v.6 no.11
    • /
    • pp.182-189
    • /
    • 2006
  • Consumers can choose suitable shoes for their feet in off-line shopping. However, in on-line shopping, because they can not wear shoes, compare to the off-line shopping, there are many problems in internet shopping. And the solution of user-oriented internet shopping is development of new type of prototype which is accessible to user and to offer visual information through 3D-virtual reality. We made this Prototype that the consumer can measure their own shoes size. And the consumer can print out their foot size in the internet database and measure their own foot size and type. And we maximized the visual experience though it is indirect and then we wanted to overcome a emotional experience in the real world. we visualized first, 'the softness' of shoes meterial, second 'the drainage' in the realtion of shoes meterial and water, third 'the close adhesion' in the realtion of shoes and consumer's their own foot and last 'the elasticity' in the relation of the shoes outer sole and surface. The result of this research can solve the problem in the existing on-line shoes' shop and it will become an alternative plan. And this prototype just will not become the localization at the on-line shoes' shop. In true sense, it will be an important example in the whole internet industry.

  • PDF

The Official Memory of the Korean War through Photographies in America and Red China (미국과 중국에서의 한국전쟁 사진과 기억 - 미국과 중국에서 발간된 사진화보집의 구성과 표상양식 분석)

  • Kim, Hyung-Gon
    • Korean journal of communication and information
    • /
    • v.48
    • /
    • pp.153-169
    • /
    • 2009
  • This study explored the official memory of Korean War through the photographs of pictorial history books. The object of this study was two books of pictorial history that were published in America and China. Two books are Pictorial History of Korean War and The Glories of the People's Army of China. This study investigated symbolic meanings of the Korean War photographs through content analysis and visual analysis. This study analyzed the difference of official memory of Korean War in America and China. In Pictorial History of Korean War, the superiority of military strength was the memory of Korean War. While in The Glories of the People's Army of China, the superiority of socialism was the memory of Korean War. The Korean War photography actualized particular interpretations on Korean War.

  • PDF

Design and Application of a Winning Forecast Model of the AOS Genre Game (AOS 장르 게임의 승패 예측 모형의 설계와 활용)

  • Ku, Ji-Min;Yu, Kyeonah
    • KIISE Transactions on Computing Practices
    • /
    • v.23 no.1
    • /
    • pp.37-44
    • /
    • 2017
  • Games of the AOS genre are classified as an e-sport rather than a recreational computer game. The involved statistical analyses such as game playing patterns and the season's characters gain importance due to the expertise-requiring nature of sports. In this study, the strategic analysis of computer games was conducted by using data mining techniques on League of Legend, a representative AOS game. We designed and tested a winning forecast model using winning percentage prediction techniques such as logistic regression analysis, discriminant analysis, and artificial neural networks. The game data analysis results were represented by a probabilistic graph and used in the visualization tool for game play. Experimental results of the winning forecast model showed a high classification rate of 95% on average with potential for use in establishing various strategies for game play with the visualization tool.

Development of MATLAB-Based Multi-Marker Data Analysis System (MATLAB 기반 다중마커 데이터 분석시스템 개발)

  • Kim, Seung-Il;Choi, Kwang-Won;Cho, Sang-Yeun;Kim, Jong-Dae;Kim, Yu-Seop;Park, Chan-Young;Song, Hye-Jeong;Shin, Kyu-Sung;Kyoung, Min-Sun;Kim, Young-Mog;Park, Hyung-Ki;Lee, Eun-Young;Lee, Myung-Sun;Kim, Jong-Won
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2011.06c
    • /
    • pp.180-183
    • /
    • 2011
  • 본 논문에서는 진단 검사 의학 분야에서 통계적 지식이나 도구사용능력이 부족한 임상의학자들을 위해 개발된 통계적 데이터 분석 시스템을 소개한다. 개발된 시스템은 질병진단에 필요한 다중 바이오마커 데이터를 Luminex장비를 통하여 측정한 후, 분석이 용이한 형태로 변환하는 시각화 기술과 데이터에 내재된 패턴을 찾아내어 유용한 지식을 생성하는 데이터 마이닝 기술을 포함한다. 주요 모듈로는 마커선택, 데이터 시각화, 마커 평가 모듈로 구성되며 MATLAB을 기반으로 개발되었다.

Bio-mimetic Recognition of Action Sequence using Unsupervised Learning (비지도 학습을 이용한 생체 모방 동작 인지 기반의 동작 순서 인식)

  • Kim, Jin Ok
    • Journal of Internet Computing and Services
    • /
    • v.15 no.4
    • /
    • pp.9-20
    • /
    • 2014
  • Making good predictions about the outcome of one's actions would seem to be essential in the context of social interaction and decision-making. This paper proposes a computational model for learning articulated motion patterns for action recognition, which mimics biological-inspired visual perception processing of human brain. Developed model of cortical architecture for the unsupervised learning of motion sequence, builds upon neurophysiological knowledge about the cortical sites such as IT, MT, STS and specific neuronal representation which contribute to articulated motion perception. Experiments show how the model automatically selects significant motion patterns as well as meaningful static snapshot categories from continuous video input. Such key poses correspond to articulated postures which are utilized in probing the trained network to impose implied motion perception from static views. We also present how sequence selective representations are learned in STS by fusing snapshot and motion input and how learned feedback connections enable making predictions about future input sequence. Network simulations demonstrate the computational capacity of the proposed model for motion recognition.

Conditional fuzzy cluster filter for color image enhancement under the mixed color noise (혼합된 칼라 잡음하에서 칼라 영상 향상을 위한 조건적인 퍼지 클러스터 필터)

  • Eum, Kyoung-Bae;Han, Seo-Won;Lee, Joon-Whoan
    • The Transactions of the Korea Information Processing Society
    • /
    • v.6 no.12
    • /
    • pp.3718-3726
    • /
    • 1999
  • Color image is more effective than gray one in human visual perception. Therefore, color image processing becomes important area. Color images are often corrupted by noises due to the input sensor, channel transmission errors and so on. Some filtering techniques such as vector median, mean filter, and vector $\alpha-trimmed$ mean filter have been used for color noise removal. Among them, vector $\alpha-trimmed$ mean filter gave the best performance in the mixed color noise. But, there are edge shift and blurring effect because vector $\alpha-trimmed$ mean filter is uniformly processed across the image. So, we proposed a conditional fuzzy cluster filter to improve this problems. Simulation results showed that the proposed scheme improves the NCD measure and visual quality over the conventional vector $\alpha-trimmed$ mean filter in the mixed color noise.

  • PDF

Design of Fuzzy Inference System for Cameras Inter-Axial Distance Control of Remote Stereoscopic Photographs (원거리 입체촬영용 카메라 축간거리 조절을 위한 퍼지추론 시스템)

  • Byun, Gi-Sig;Oh, Sei-Woong;Kim, Gwan-Hyung;Kim, Min;Kim, Hyun-Jo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.19 no.1
    • /
    • pp.41-49
    • /
    • 2015
  • The common way to obtain a stereoscopic image of a subject at a distance is to place two cameras on the parallel axis rather than crossing axis. To find the IAD and maximum focal length, left and right images are obtained by varying the IAD of cameras and the focal length of the camera lens and the depth budget for the obtained images is analyzed through post production. Then, the database for IAD and focal length of the camera lens with the depth range that does not cause visual fatigue and visual discomfort are developed. These data are used to design fuzzy control and deduce the IAD and focal length of the camera lens to shoot a subject at a distance, and the function of the fuzzy control is confirmed through the actual shooting within the range of deduced IAD and focal length of the camera lens.

The Impact of Online Information Source on Consumer Satisfaction in the Internet Shopping Mall (온라인 정보원천이 인터넷 쇼핑몰 소비자만족에 미치는 영향)

  • Park, Kyung-Ja;Jang, Hee-Young;Rho, Hee-Ock
    • The Journal of Information Systems
    • /
    • v.20 no.1
    • /
    • pp.21-40
    • /
    • 2011
  • 웹이라는 환경은 다양한 정보원천을 생성해냈고, 온라인 소비자는 시간과 노력의 비용을 줄여 보다 합리적인 의사결정을 하기 위하여 웹 정보탐색을 한다. 특히 인터넷 환경은 정보를 획득하는 비용을 낮춤으로써 유용한 정보원천의 역할을 수행하고 있다(Bakos, 1997; Bar-Ilan, 2001). 그러나 너무 많은 정보는 오히려 소비자들의 의사결정을 방해할 수 있는데, 이때 소비자들은 정보원천에 대한 인지경향, 즉 신념수준을 가지고 자신에게 필요한 정보를 취사선택하게 된다(Schuman and Johnson, 1976). 이러한 관점에서 온라인상에서의 구매의사결정과 관련해서 주요하게 참조되는 정보원천을 파악하는 것은 의미있는 일이라 할 수 있다. 이에 본 연구에서는 사전조사를 통해 온라인 주요 정보원천으로 온라인 구매경험, 온라인 구전정보, 판매자 정보를 도출하였다. 그리고 이러한 정보원천이 제품만족, 정보만족에 미치는 영향관계를 알아보고, 이어서 정보만족과 제품만족이 인터넷 쇼핑몰에 대한 소비자의 전반적인 만족에 미치는 영향을 살펴보았다. 분석결과, 온라인 정보원천의 모든 변수들이 정보만족에 유의한 영향관계를 갖는 것으로 나타났으며, 제품만족과의 관계에서는 판매자 제공정보가 유의하지 않게 나타났다. 또한 정보만족과 제품만족 모두 소비자의 전반적인 만족에 유의한 영향을 미치는 것으로 나타났다. 이와 같은 결과는 온라인상에서의 정보의 중요성을 입증하는 것으로, 온라인 소비자의 정보원천에 대한 이용과 평가를 이해하는데 새로운 시각을 제공해주고, 정보원천에 대한 관리와 활용에 관한 실무적 시사점을 제시해 줄 것으로 기대된다.