• Title/Summary/Keyword: 그래프시기능 분석

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Secured Verification of Intrusion Prevention System Security Model Based on CPNs (CPN 기반의 침입방지시스템 보안모델의 안정성 검증)

  • Lee, Moon-Goo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.3
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    • pp.76-81
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    • 2011
  • Intrusion prevention systems (IPS) are important solution about solved problems for inside system security or outsider attacks. When introduce this system, first consideration item is secured rather than multiple function. Colored Petri Nets (CPNs) used that in order to secured verification for user authentication function of intrusion prevention system security model. CPNs is a graphical modeling language suitable for modeling distributed, concurrent, deterministic or non-deterministic systems with synchronous. Like these CPNs was expressed every possible state and occurrence graph. Secured of IPS security model was verified because expression every state using CPN tool and as a result of analyzing the occurrence graph was without a loop or interruption.

A study on the Performance of KTALIS Library IR System by the Usage Pattern and the Response Time (KTALIS 도서 자료 검색 시스템의 이용 기능 분포도 및 응답 시간을 중심으로한 시 스템 성능에 대한 고찰)

  • 김재일;김영헌;이혜옥;허문행
    • Journal of the Korean Society for information Management
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    • v.5 no.2
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    • pp.145-160
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    • 1988
  • 111 this paper, ~vc atialyzed thr, staristical data logged by rlte library itiformatio~~ rrtrieval system n41icli was developed it1 K'I'A as a part of total system. System performance was measured numerically b\. means of tables and graphs reprc.ieritmg the usage patterns, die response times, and tl~e success ratt.5 of each stxiircIii~rg item.

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Graphic Method of Visual Analysis and Norms Determination for the Far Distance Phoria (원거리사위별 그래프 분석과 표준값 결정)

  • Joo, Seok-Hee;Park, Seong-Jong;Sim, Hyun-Seog
    • Journal of Korean Ophthalmic Optics Society
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    • v.11 no.3
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    • pp.193-200
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    • 2006
  • We investigated the visual analysis of the far distance phoria for 83 subjects who have emmetropia or myopia eyes, using the graphic method, and determined new norms. We got the following results from these experiments. 1. The measured norm of far distance phoria is $1.12{\Delta}$, exophoria, the that of near distance phoria is $0.50{\Delta}$, exophoria, the that of negative relative convergence at far distance(N.R.C.) is ${\times}$/11/5, the that of positive relative convergence at far distance(P.R.C.) is 10/20/8, the that negative relative convergence at near distance(N.R.C.) is 11/21/5, the that of positive relative convergence at near(P.R.C.) is 10/20/8, the that of negative relative accommodation(N.R.A.) is +2.54D, and the that of positive relative accommodation(P.R.A.) is -2.60D, respectively. We know from theses results that the measured norms of far distancet phoria is higher than Morgan's norms, while those of near distance phoria are lower than Morgan's norms. 2. We also know from these experiments that Morgan's norms are closely related to A, B, and C groups and Morgan's criterion can more usefully apply to the visual analysis. 3. In Sheard's criterion and Percival's criterion, the prism prescription is occurred when the exophoria of the far-point phoria is over $7{\sim}9{\Delta}$, and the esophoria of that is over $4{\sim}6{\Delta}$.

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Correlation analysis between energy indices and source-to-node shortest pathway of water distribution network (상수도관망 수원-절점 최소거리와 에너지 지표 상관성 분석)

  • Lee, Seungyub;Jung, Donghwi
    • Journal of Korea Water Resources Association
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    • v.51 no.11
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    • pp.989-998
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    • 2018
  • Connectivity between water source and demand node can be served as a critical system performance indicator of the degree of water distribution network (WDN)' failure severity under abnormal conditions. Graph theory-based approaches have been widely applied to quantify the connectivity due to WDN's graph-like topological feature. However, most previous studies used undirected-unweighted graph theory which is not proper to WDN. In this study, the directed-weighted graph theory was applied for WDN connectivity analyses. We also proposed novel connectivity indicators, Source-to-Node Shortest Pathway (SNSP) and SNSP-Degree (SNSP-D) which is an inverse of the SNSP value, that does not require complicate hydraulic simulation of a WDN of interest. The proposed SNSP-D index was demonstrated in total 42 networks in J City, South Korea in which Pearson Correlation Coefficient (PCC) between the proposed SNSP-D and four other system performance indicators was computed: three resilience indexes and an energy efficiency metric. It was confirmed that a system representative value of the SNSP-D has strong correlation with all resilience and energy efficiency indexes (PCC = 0.87 on average). Especially, PCC was higher than 0.93 with modified resilience index (MRI) and energy efficiency indicator. In addition, a multiple linear regression analysis was performed to identify the system hydraulic characteristic factors that affect the correlation between SNSP-D and other system performance indicators. The proposed SNSP is expected to be served as a useful surrogate measure of resilience and/or energy efficiency indexes in practice.

A Form Clustering Algorithm for Web-based Application Reengineering (웹 응용 재구성을 위한 폼 클러스터링 알고리즘)

  • 최상수;박학수;이강수
    • The Journal of Society for e-Business Studies
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    • v.8 no.2
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    • pp.77-98
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    • 2003
  • A web-based information system, that is a dominant type of information systems, suffers from the "web crisis" in development and maintenance of the system. To cope with the problem, a technology of software clustering to web-based application, which is one of web engineering, is strongly needed. In this paper, we propose a Form Clustering Algorithm along with an application example, which are used for internal-system reengineering to web-based information system. A Form Clustering Algorithm focuses on Page-model which is the feature of the web among the various web-based information system's structural model. Specially, we applying distance matrix to navigation model of graph form for easily analyzing, and web log analysis for identifying core function object that have a highly loading. Also, we create web software structure that can be used to maximize reusability and assign hardware effectively through 2-phase clustering step. Form Clustering Algorithm might be used at web-based information system development and maintenance for reusable web component development and hardware assignment, respectively.

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A Study of Design for Additive Manufacturing Method for Part Consolidation to Redesign IoT Device (IoT 기기 재설계를 위한 적층제조를 활용한 부품병합 설계 방법에 대한 연구)

  • Kim, Samyeon
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.55-59
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    • 2022
  • Recently, IoT technology has great attention and plays a key role in 4th industrial revolution in order to design customized products and services. Additive Manufacturing (AM) is applied to fabricate IoT sensor directly or IoT sensor embedded structure. Also, design methods for AM are developing to consolidate various parts of IoT devices. Part consolidation leads to assembly time and cost reduction, reliability improvement, and lightweight. Therefore, a design method was proposed to guide designers to consolidate parts. The design method helps designers to define product architecture that consists of functions and function-part relations. The product architecture is converted to a network graph and then Girvan Newman algorithm is applied to cluster the graph network. Parts in clusters are candidates for part consolidation. To demonstrate the usefulness of the proposed design method, a case study was performed with e-bike fabricated by additive manufacturing.

Mobility Support Scheme Based on Machine Learning in Industrial Wireless Sensor Network (산업용 무선 센서 네트워크에서의 기계학습 기반 이동성 지원 방안)

  • Kim, Sangdae;Kim, Cheonyong;Cho, Hyunchong;Jung, Kwansoo;Oh, Seungmin
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.11
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    • pp.256-264
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    • 2020
  • Industrial Wireless Sensor Networks (IWSNs) is exploited to achieve various objectives such as improving productivity and reducing cost in the diversity of industrial application, and it has requirements such as low-delay and high reliability packet transmission. To accomplish the requirement, the network manager performs graph construction and resource allocation about network topology, and determines the transmission cycle and path of each node in advance. However, this network management scheme cannot treat mobile devices that cause continuous topology changes because graph reconstruction and resource reallocation should be performed as network topology changes. That is, despite the growing need of mobile devices in many industries, existing scheme cannot adequately respond to path failure caused by movement of mobile device and packet loss in the process of path recovery. To solve this problem, a network management scheme is required to prevent packet loss caused by mobile devices. Thus, we analyse the location and movement cycle of mobile devices over time using machine learning for predicting the mobility pattern. In the proposed scheme, the network manager could prevent the problems caused by mobile devices through performing graph construction and resource allocation for the predicted network topology based on the movement pattern. Performance evaluation results show a prediction rate of about 86% compared with actual movement pattern, and a higher packet delivery ratio and a lower resource share compared to existing scheme.

Clustering Performance Analysis of Autoencoder with Skip Connection (스킵연결이 적용된 오토인코더 모델의 클러스터링 성능 분석)

  • Jo, In-su;Kang, Yunhee;Choi, Dong-bin;Park, Young B.
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.12
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    • pp.403-410
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    • 2020
  • In addition to the research on noise removal and super-resolution using the data restoration (Output result) function of Autoencoder, research on the performance improvement of clustering using the dimension reduction function of autoencoder are actively being conducted. The clustering function and data restoration function using Autoencoder have common points that both improve performance through the same learning. Based on these characteristics, this study conducted an experiment to see if the autoencoder model designed to have excellent data recovery performance is superior in clustering performance. Skip connection technique was used to design autoencoder with excellent data recovery performance. The output result performance and clustering performance of both autoencoder model with Skip connection and model without Skip connection were shown as graph and visual extract. The output result performance was increased, but the clustering performance was decreased. This result indicates that the neural network models such as autoencoders are not sure that each layer has learned the characteristics of the data well if the output result is good. Lastly, the performance degradation of clustering was compensated by using both latent code and skip connection. This study is a prior study to solve the Hanja Unicode problem by clustering.

Image Quality Analysis According to the of a Linear Transducer (선형 탐촉자에서 관심 시각 영역 변화에 따른 화질 분석)

  • Ji-Na, Park;Jae-Bok, Han;Jong-Gil, Kwak;Jong-Nam, Song
    • Journal of the Korean Society of Radiology
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    • v.16 no.7
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    • pp.975-984
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    • 2022
  • Since a linear transducer has an area of interest equal to the length of the transducer, the area of interest can be expanded using the virtual convex function installed in the device.However, it was thought that the change in the direction of the ultrasonic sound velocity according to the change in the visual area of interest would affect the image quality, so this was objectively confirmed. For this study, image evaluation and SNR·CNR of the phantom for ultrasound quality control were measured. As a result, in the phantom image evaluation, both images were able to identify structures in functional resolution, grayscale, and dynamic range. However, it was confirmed that the standard image was excellent in the reproducibility of the size and shape of the structure. As a result of SNR·CNR evaluation, SNR·CNR of most trapezoidal images was low, except for structures at specific locations. In addition, through the statistical analysis graph, it was further confirmed that the SNR and CNR for each depth decreased as the size of the cystic structure decreased. Through this study, it was confirmed that the use of the function has the advantage of providing a wide visual area of interest, but it has an effect on the image quality. Therefore, when using the virtual convex function, it is judged that the examiner should use it in an appropriate situation and conduct various studies to acquire high-quality images and to improve the understanding and proficiency of the equipment.

A Pilot Study for Development of the Serious Game Contents for Education in the Elderly Diabetes (노인 당뇨환자 교육용 기능성 게임 콘텐츠 개발을 위한 예비연구)

  • Kim, Yu Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.7
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    • pp.184-192
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    • 2017
  • This study was a pilot test of serious educational game content(named Roly Poly 160) designed to enhance self-care by elderly diabetics. Roly Poly 160 was developed in eight steps (literature review, demand survey and consultation, extraction of serious content using games, development of Roly Poly 160, pretest for users, workshop for health care workers, final completion of Roly Poly 160 and user satisfaction survey of Roly Poly 160). Roly Poly 160 is intuitively structured in three modules (self-management, card games, and quiz games) that can be self-managed by the elderly and is designed based on six principles. First, we constructed an intuitive interface considering the age of users. Second, the menu was selected as the main menu for Koreans and calorie learning was made at the same time. Third, the calories and nutrients (carbohydrate, fat, protein, calcium, sodium) of selected foods are analyzed, and all test data recorded in the questionnaire chart are graphically displayed by year, month and week so that the change trends can be grasped at a glance. Fourth, necessary data were saved and output and used as educational data. Fifth, user data are made compatible and aggregated and up to 100 million members can be registered. Sixth, it is designed to be developed as a mobile app if necessary. Using Roly Poly 160, 119 diabetic patients were diagnosed with diabetes, and the satisfaction score was 4.26 out of 5. These findings indicate that Roly Poly 160 is appropriate as a diabetes self-care tool and suggests that there is a possibility to use it as a program to educate people about diabetes in public health centers, hospitals and clinics.