• Title/Summary/Keyword: Usage of information source

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High-Speed Implementation and Efficient Memory Usage of Min-Entropy Estimation Algorithms in NIST SP 800-90B (NIST SP 800-90B의 최소 엔트로피 추정 알고리즘에 대한 고속 구현 및 효율적인 메모리 사용 기법)

  • Kim, Wontae;Yeom, Yongjin;Kang, Ju-Sung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.1
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    • pp.25-39
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    • 2018
  • NIST(National Institute of Standards and Technology) has recently published SP 800-90B second draft which is the document for evaluating security of entropy source, a key element of a cryptographic random number generator(RNG), and provided a tool implemented on Python code. In SP 800-90B, the security evaluation of the entropy sources is a process of estimating min-entropy by several estimators. The process of estimating min-entropy is divided into IID track and non-IID track. In IID track, the entropy sources are estimated only from MCV estimator. In non-IID Track, the entropy sources are estimated from 10 estimators including MCV estimator. The running time of the NIST's tool in non-IID track is approximately 20 minutes and the memory usage is over 5.5 GB. For evaluation agencies that have to perform repeatedly evaluations on various samples, and developers or researchers who have to perform experiments in various environments, it may be inconvenient to estimate entropy using the tool and depending on the environment, it may be impossible to execute. In this paper, we propose high-speed implementations and an efficient memory usage technique for min-entropy estimation algorithm of SP 800-90B. Our major achievements are the three improved speed and efficient memory usage reduction methods which are the method applying advantages of C++ code for improving speed of MultiMCW estimator, the method effectively reducing the memory and improving speed of MultiMMC by rebuilding the data storage structure, and the method improving the speed of LZ78Y by rebuilding the data structure. The tool applied our proposed methods is 14 times faster and saves 13 times more memory usage than NIST's tool.

PERFORMANCE EVALUATION OF SNORT IN AN INEXPENSIVE HIGH-AVAILABILITY SYSTEM

  • Kim, Wan-Kyung;Soh, Woo-Young;Jason S. Seril
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05a
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    • pp.88-92
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    • 2004
  • Most studies in the past in testing and benchmarking on Intrusion Detection System (IDS) were conducted as comparisons, rather than evaluation, on different IDSs. This paper presents the evaluation of the performance of one of the open source IDS, snort, in an inexpensive high availability system configuration. Redundancy and fault tolerance technology are used in deploying such IDS, because of the possible attacks that can make snort exhaust resources, degrade in performance and even crash. Several test data are used in such environment and yielded different results. CPU speed, Disk usage, memory utilization and other resources of the IDS host are also monitored. Test results with the proposed system configuration environment show much better system availability and reliability, especially on security systems.

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A Study of Incremental and Multiple Entry Support Parser for Multi View Editing Environment (다중 뷰 편집환경을 위한 점진적 다중진입 지원 파서에 대한 연구)

  • Yeom, Saehun;Bang, Hyeja
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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    • pp.21-28
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    • 2018
  • As computer performance and needs of user convenience increase, computer user interface are also changing. This changes had great effects on software development environment. In past, text editors like vi or emacs on UNIX OS were the main development environment. These editors are very strong to edit source code, but difficult and not intuitive compared to GUI(Graphical User Interface) based environment and were used by only some experts. Moreover, the trends of software development environment was changed from command line to GUI environment and GUI Editor provides usability and efficiency. As a result, the usage of text based editor had decreased. However, because GUI based editor use a lot of computer resources, computer performance and efficiency are decreasing. The more contents are, the more time to verify and display the contents it takes. In this paper, we provide a new parser that provide multi view editing, incremental parsing and multiple entry of abstract syntax tree.

A Study on the Foreign Medical Journals Usage Patterns in Medical Libraries (의학도서관(醫學圖書館)의 외국학술잡지(外國學術雜誌) 이용실태(利用實態)에 관(關)한 연구(硏究))

  • Yoon, Y.T.
    • Journal of the Korean Society for information Management
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    • v.2 no.2
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    • pp.71-114
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    • 1985
  • Medical libraries in Korea consume most of their budget and efforts of staffs for acquisition and administration of foreign medical journals. Annualy the rise in prices of the journals oppress the library budget. Because of these reasons, this paper studied and analyzed the possibility of cooperative acquisition of foreign medical journals between the medical libraries in Korea and several basic informations for cooperative acquisition by citation analysis method. The 5 source medical school journals were selected from our country's medical school journals: Seoul, Yonsei, Catholic, Chonnam, Kyungbook.

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Hybrid Neural Networks for Pattern Recognition

  • Kim, Kwang-Baek
    • Journal of information and communication convergence engineering
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    • v.9 no.6
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    • pp.637-640
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    • 2011
  • The hybrid neural networks have characteristics such as fast learning times, generality, and simplicity, and are mainly used to classify learning data and to model non-linear systems. The middle layer of a hybrid neural network clusters the learning vectors by grouping homogenous vectors in the same cluster. In the clustering procedure, the homogeneity between learning vectors is represented as the distance between the vectors. Therefore, if the distances between a learning vector and all vectors in a cluster are smaller than a given constant radius, the learning vector is added to the cluster. However, the usage of a constant radius in clustering is the primary source of errors and therefore decreases the recognition success rate. To improve the recognition success rate, we proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments on a large number of calling card images showed that the proposed algorithm greatly improves the character extraction and recognition compared with conventional recognition algorithms.

Performance Evaluation of Graphic Platforms for GUI Implementation in Embedded Linux System (임베디드 리눅스 시스템에서의 GUI 구현을 위한 그래픽 플랫폼 성능 평가)

  • Kim, Young-ju
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.831-834
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    • 2009
  • Embedded linux system cann't take up the X-window-based GUI platform commonly used in PC platforms because of low performance in hardware. For the GUI implementation in embedded linux system, the lightwieight graphic library is needed, which supports simplified functions and the usage of little resource. In this paper, several of popular open-source graphic libraries are selected and evaluated for the adoption of an efficient library in the GUI implementation for multimedia embedded system requiring the simple and intuitional user interface.

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Scalable Big Data Pipeline for Video Stream Analytics Over Commodity Hardware

  • Ayub, Umer;Ahsan, Syed M.;Qureshi, Shavez M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1146-1165
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    • 2022
  • A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.

The Protecton of Privacy on Secondary Use of Personal Health Imformation (의료기관 개인건강정보의 이차적 이용)

  • Kim, Jang-Han
    • The Korean Society of Law and Medicine
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    • v.11 no.1
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    • pp.117-143
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    • 2010
  • Along with the development of digital technologies, the information obtained during the medical procedures was working as a source of valuable assets. Especially, the secondary use of personal health information gives the ordeal to privacy protection problems. In korea, the usage of personal medical information is basically regulated by the several laws in view of general and administrative Act like Medicine Act, Public institutions' personal information protection Act, Information-Network Act etc. There is no specific health information protection Act. Health information exchange program for the blood donor referral related with teratogenic drugs and contagious disease and medical treatment reporting system for income tax convenience are the two examples of recently occurred secondary use of health information in Korea. Basically the secondary use of protected health information is depend on the risk-benefit analysis. But to accomplish the minimal invasion to privacy, we need to consider collection limitation principle first. If the expected results were attained with alternative method which is less privacy invasive, we could consider the present method is unconstitutional due to the violation of proportionality rule.

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Analysis of Factors of Farmers' Use of Information Technology Equipment When Selling Agricultural Products (농산물 판매시 농가들의 정보화 기기 이용 선택 결정요인 분석)

  • Yi, Hyangmi;Goh, Jongtae
    • Journal of Korean Society of Rural Planning
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    • v.24 no.4
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    • pp.121-134
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    • 2018
  • By using the raw data of the 2015 Agriculture, Forestry and Fishery Consensus that surveyed the farmers engaged in agriculture, forestry and fishery in 2015, this study investigated the effects of the characteristics of the farms in Gangwon-do on the utilization of the digital devices, which was classified into computers usage only, smartphones usage only, both computers and smartphones usage, and no digital device usage. This study used the Multinomial Logit Model for the above purpose. Moreover, the IIA(Independence of Irrelevant Alternatives) method of the Multinomial Logit Model was analyzed to be suitable. Upon the result of the analysis, when all the other variables were constant in the average, the probability of choosing both computers and smartphones increased by 0.02% as the family member living together with the farm owner increased by 1 person. In addition, the farms with agricultural machineries have 0.03% increased probability of using smartphones to sell their agricultural products, when compared with the farms without agricultural machinery. Moreover, for the farms with high sales profit of the agricultural products, the probability of using computers and the probability of using smartphones increased by 0.04% and 0.01%, respectively, and the probability of using both computers and smartphones increased by 0.02%. On the other hand, for the farms affiliated with the agricultural organization, the probability of using both computers and smartphones increased by 0.17%, and the probability of using only smartphones and the probability of using only computers increased by 0.16% and 0.15%, respectively. In case of selling to the National Agricultural Cooperative Federation(NACF), the probability of using smartphones increased by 0.11% if all other variables were to be constant in the average. In particular, the farms participating in the agriculture-related industries have 1.09% increased probability of using computers, have 0.92% increased probability of using smartphones, and 0.85% increased probability of using both computers and smartphones. Therefore, the implications suggested based on the results of the analysis are as follows. First, the farms' choices of the digital devices are made independently. Hence, the future agricultural industry business platform establishment should necessarily consider the types of farms' choices of the digital devices in the future. Second, since the usage of digital devices has a generally positive influence on the farm household income, digital education to improve farmers' ability to use the digital devices should be urgently provided in order to improve the farm household income in the farms in Gangwon-do. Third, because the digital devices used to sell agricultural products differ depending on the age of the farm owner, it would be desirable to target the younger generation of the farm owners rather than establishing the agricultural industry business platform for the farms in the aged farm villages. Fourth, it would be advisable for the future agricultural business platform to consider the characteristics of agricultural products sales source.

Analysis of the Land Pollution Area Using Land Category Information (지목정보를 이용한 토지오염지역 분석)

  • Min, Kwan Sik;Kim, Hong Jin;Kim, Jae Myeong
    • Spatial Information Research
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    • v.23 no.1
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    • pp.33-40
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    • 2015
  • Recently, land pollution makes various environment problems according to existing land use. So, there is an urgent need for management about these problems. This study categorize land pollution area using the land category information according to main land usage for reasonable analysis of land pollution area by point and non-point pollution sources. And also there was able to collect land pollution sources information efficiently by analysing the land category information. The land use information that categorized important factor for management and land pollution survey will be utilized Soil environment management and preservation. And land use information will be used land use regulation, resonable preservation and management.