• 제목/요약/키워드: IT통계정보시스템

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Development Trend Analysis of the Research on Recommendation System (추천시스템 연구의 개발추세 동향)

  • Lee, Yon-Nim;Kwon, Oh-Byung
    • Journal of Intelligence and Information Systems
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    • v.14 no.2
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    • pp.63-82
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    • 2008
  • Recommendation systems are widely used to help deal with the problem of information overload. Over the past decades, a variety of recommendation systems have been developed as the amount of information in the world increases far more quickly than our ability to process it. This paper aims to analyze existing developed recommendation systems, provide systemic review, and present some basic issues on improvement action. Through this, we also suggest useful implications for better recommendation systems and give some ideas to recommendation system developers to improve their system. Especially, this study focuses on researches on recommendation system. In our research, we analyze the studies along with four different keys dimensions : their domain, objective, underlying model, and evaluation method of recommendation systems and portray the results as statistics or statistical graphics or table form.

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A RealTime DNS Query Analysis System based On the Web (웹 기반 실시간 DNS 질의 분석 시스템)

  • Jang, Sang-Dong
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.279-285
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    • 2015
  • In this paper, we present the design and implementation of a realtime DNS Query Analysis System to detect and to protect from DNS attacks. The proposed system uses mirroring to collect data in DMZ, then analizes the collected data. As a result of the analysis, if the proposed system finds attack information, the information is used as a filtering information of firewall. statistic of the collected data is viewed as a realtime monitoring information on the web. To verify the effictiveness of the proposed system, we have built the proposed system and conducted some experiments. As the result, Our proposed system can be used effectively to defend DNS spoofing, DNS flooding attack, DNS amplification attack, can prevent interior network's attackers from attacking and provides realtime DNS query statistic information and geographic information for monitoring DNS query using GeoIP API and Google API. It can be useful information for ICT convergence and the future work.

The Implement of System on Microarry Classification Using Combination of Signigicant Gene Selection Method (정보력 있는 유전자 선택 방법 조합을 이용한 마이크로어레이 분류 시스템 구현)

  • Park, Su-Young;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.2
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    • pp.315-320
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    • 2008
  • Nowadays, a lot of related data obtained from these research could be given a new present meaning to accomplish the original purpose of the whole research as a human genome project. In such a thread, construction of gene expression analysis system and a basis rank analysis system is being watched newly. Recently, being identified fact that particular sub-class of tumor be related with particular chromosome, microarray started to be used in diagnosis field by doing cancer classification and predication based on gene expression information. In this thesis, we used cDNA microarrays of 3840 genes obtained from neuronal differentiation experiment of cortical stem cells on white mouse with cancer, created system that can extract informative gene list through normalization separately and proposed combination method for selecting more significant genes. And possibility of proposed system and method is verified through experiment. That result is that PC-ED combination represent 98.74% accurate and 0.04% MSE, which show that it improve classification performance than case to experiment after generating gene list using single similarity scale.

A Study on the Estimate Real Time Delay Model using BIS Data (버스정보시스템(BIS) 운행데이터를 이용한 실시간 지체시간 산정모형 구축)

  • Lee, Young-Woo;Kwon, Hyuck-Jun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.5
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    • pp.14-22
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    • 2011
  • This study is to estimate delay time model of signalized intersection by using travel data of Bus Information System. BIS, which applies the advanced information technology to an existing bus system, has been developing and operating in many cities. However, even though some useful traffic informations have been collected from BIS operation, utilization of real-time data to the traffic operation has not been promoted due to the inhomogeneity of modal speeds. Accordingly, in this study, a fundamental research is performed for traffic controls in urban areas and providing a traffic information throughout a methodology for estimating delay time using the data from BIS was developed. This delay time model setting bus travel time excluding service time of a bus stop as explanatory variables was constructed as a regression model, and the coefficient of determination of a linear regression model most highly appeared as 0.826. As a result of performing T-test with field survey values and model estimation values for verifying constructed models statistically, it was analyzed to be statistically significant in a confidence level of 95%.

Real-Time Ransomware Infection Detection System Based on Social Big Data Mining (소셜 빅데이터 마이닝 기반 실시간 랜섬웨어 전파 감지 시스템)

  • Kim, Mihui;Yun, Junhyeok
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.10
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    • pp.251-258
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    • 2018
  • Ransomware, a malicious software that requires a ransom by encrypting a file, is becoming more threatening with its rapid propagation and intelligence. Rapid detection and risk analysis are required, but real-time analysis and reporting are lacking. In this paper, we propose a ransomware infection detection system using social big data mining technology to enable real-time analysis. The system analyzes the twitter stream in real time and crawls tweets with keywords related to ransomware. It also extracts keywords related to ransomware by crawling the news server through the news feed parser and extracts news or statistical data on the servers of the security company or search engine. The collected data is analyzed by data mining algorithms. By comparing the number of related tweets, google trends (statistical information), and articles related wannacry and locky ransomware infection spreading in 2017, we show that our system has the possibility of ransomware infection detection using tweets. Moreover, the performance of proposed system is shown through entropy and chi-square analysis.

정보통신 기술혁신 활동의 수렴화 경향에 관한 소고

  • 임광선;박석지
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 1998.05a
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    • pp.18-18
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    • 1998
  • 본 연구는 미 특허청(USPTO) 자료를 이용하여 기술활동이 가장 활발한 OECD국가를 중심으로 세부기술 부문별 기술활동의 유형을 분석하고자 하는 데에 목적을 두고 있다. 특히 OECD 국가들이 정보통신(IT) 기술에 있어 특정 기술분야로의 수렴화 경향을 보이는가 혹은 다양한 기술적인 분화현상을 보이는 가를 분석하는 것이 본 연구의 주요 관심사이다. 기존 연구들이 정보통신기술을 협의로 정의, 분석의 대상으로 삼아 왔으나, 본 고에서는 정보통신 분야를 보다 확대된 개념으로서 정의하고, 미국 특허청 자료(1985-1996)를 이용하여 정보통신 분야의 기술개발 활동의 특화현상을 분석하였다. 연구결과로서 정보통신(IT) 기술 분야에서는 기술적 수렴현상이 점차적으로 나타나고 있음을 확인할 수 있었다. 국가별 결과에 있어서는 서로 다른 유형이 관측되었는데 정보통신 산업에 있어서 유럽의 주요 국가들은 특허통계량이 감소하는 추세를 나타냈으며 기술추격(catch-up) 과정은 나타나지 않았음을 보여 주었다. 이와 반대로, 일본은 유럽의 주요 국가에 비하여 매우 특징적인 기술개발 유형을 나타내었다. 예를 들어, RTA지수는 일본이 정보처리기술, 컴퓨터시스템 및 단말기술, 집적회로 분야에 특화되어 있음을 나타냈다. 또한 캐나다와 한국도 특징적인 기술개발 경향을 나타내었는 바, 캐나다는 방송시스템 및 전송기술에서 기술적 강점을 지닌 것으로 분석되었으며 한국의 기술추격 분야는 방송시스템, 정보처리 및 반도체기술 분야인 것으로 나타났다.

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Development of Dynamic Traffic Information System based on GPS Technology (GPS 기술기반의 동적 도로소통정보시스템 개발)

  • Jang, Yong-Gu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.3
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    • pp.14-24
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    • 2006
  • There are many problems and limits in equipments being used for traffic-volume analysis in the country. And traffic-volume information acquired through existing equipments is not provided in real-time. In the case of urban, there are limits on guarantee of trust on comprehending a appropriate road-volume because of difficulty on analyzing traffic-volume density and time series. And it is difficult to applicate in deciding a road policy as existing equipments don't provide the control information of traffic-flow. Therefore, it is necessary to build a road-flow policy rapidly and accurately through the road-flow information that analyze post-processed statistics data using traffic-flow investigation based on real time. In this study, we developed TICS(Traffic Information Collection System) based on GPS which could transmit traffic information transformed from car location information to traffic control center. And we developed TCS(Traffic Control System) based on Web GIS, which could manage and analyze transmitted traffic information, and it could offer handled road-flow information to Web-site in realtime.

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A Study on the Effects of Quality of u-City Service on Customer Satisfaction in the Korea : Focusing on Public Services (한국의 u-City서비스 품질이 고객만족에 미치는 영향 : 공공서비스를 중심으로)

  • Kwak, Jin-Jo;Hwang, Chan-Gyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.9
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    • pp.1351-1358
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    • 2013
  • This paper aims to study the effects of quality of u-City public service on customer satisfaction in the Korea and is summarized as follows. First, we propose a model for assessing customer's satisfaction on u-City public services. The model comprises of information system (IS) quality, information quality, service quality and publicity. For verifying a model, a statistical study by SPSS 12.0 and AMOS 16.0 has been performed. Second, it is shown from the analysis that information system (IS) quality, information quality and publicity have a positive effect on customer satisfaction. while service quality does not. Last, the study shows that u-City public service enables any citizen to connect to necessary service in anytime and anywhere.

Comparison of System Call Sequence Embedding Approaches for Anomaly Detection (이상 탐지를 위한 시스템콜 시퀀스 임베딩 접근 방식 비교)

  • Lee, Keun-Seop;Park, Kyungseon;Kim, Kangseok
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.47-53
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    • 2022
  • Recently, with the change of the intelligent security paradigm, study to apply various information generated from various information security systems to AI-based anomaly detection is increasing. Therefore, in this study, in order to convert log-like time series data into a vector, which is a numerical feature, the CBOW and Skip-gram inference methods of deep learning-based Word2Vec model and statistical method based on the coincidence frequency were used to transform the published ADFA system call data. In relation to this, an experiment was carried out through conversion into various embedding vectors considering the dimension of vector, the length of sequence, and the window size. In addition, the performance of the embedding methods used as well as the detection performance were compared and evaluated through GRU-based anomaly detection model using vectors generated by the embedding model as an input. Compared to the statistical model, it was confirmed that the Skip-gram maintains more stable performance without biasing a specific window size or sequence length, and is more effective in making each event of sequence data into an embedding vector.

A Study on Technostress of Information Communication Technology User (정보통신기술 사용자의 테크노스트레스에 관한 연구)

  • Nho, Hee-Ok;Kim, Yong-Ho;Hong, Seung-Jun
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.41-46
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    • 2015
  • Utilization of IS is increasing in businesses: many organizations have established information systems(IS) and are using it as a means to innovate and communicate their businesses. But the expansion of IS utilization lead to the negative influence of ICT-induced stress on information system users. This study suggests IS utilization ability, IS self-efficacy, and pace of change as precedence factors of ICT-induced stress, and explains that ICT-induced stress influences Employee Productivity. The result shows self-efficacy and Pace of Change had significant effects on ICT-induced Stress. Also it had negative effects on Employee Productivity. In conclusion the study proposed that information system users' Performance decreases by ICT-induced stress.