• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.462-465
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• 2002

This paper presents a basic theory of information flow from single sending point to multiple receiving points, where new theories of algebraic system called "Hybrid Vector Space" and flow vector space play important roles. Based on the theory, a new algorithm for finding maximum homogenous information flow is proposed, where homogenous information flow means the flow of the same contents of information delivered to multiple clients at a time. Effective multi-routing algorithms fur tree-shape delivery rout search are presented.

• 디지털산업정보학회논문지
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• 제5권3호
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• pp.87-98
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• 2009

This paper discuss secure information flow analysis and its visualization. Information leak is defined as existence of information flow from variables which have user's private informations to variables that anyone can access. Secure information flow analysis has been made to decide of whether the information leak is or not. There are many researches for secure information flow analysis concerning high level programming languages. But actually, programs that user executes don't have program source code represented in high level programming language. Thus there is need for analysis of program represented in low level language. More to analysis, visualization of analysis is very important. So, this paper discuss visualization of secure information flow analysis. In this paper, Mini x86 Assembly Language which is subset of x86 assembly language is defined and secure information flow analysis of program is proposed. In addition, this paper defines transfer function that is used for analysis and shows how to visualize control flow graph.

• 지질공학
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• 제32권4호
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• pp.547-558
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• 2022

2020년 8월 집중호우로 인하여 전라남도 곡성지역에 토석류가 발생하여 5명이 사망하는 재난이 발생하였다. 이 지역을 대상으로 하여 사진 측량을 통해 0.03 m의 고해상도 지형정보를 구축하고 토사의 붕괴량을 측정하였다. 또한 Flo-2D를 이용하여 토석류의 유량과 지형정보의 차이에 따라 유동심, 유속, 확산면적에 대하여 민감도 분석을 수행하였다. 유량이 높아질수록 토석류의 유동심, 유속, 확산면적이 높아지며 고해상도 지형정보와 저해상도 지형정보와의 결과 차이도 높아지는 것으로 나타났다. 그리고, 고해상도의 지형정보를 적용하였을 때 실제의 토석류 흐름방향과 유사하게 계산되어 고해상도 지형정보의 적용이 토석류 해석 결과의 정확성을 높이는 결과를 정량적으로 분석하였다. 추가로 항복응력과 점성과 같은 지질정보에 대해 고려하면 전반적으로 실제 토석류의 확산 정보보다 작게 계산된 결과를 보완할 수 있을 것으로 판단된다.

• International journal of advanced smart convergence
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• 제9권1호
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• pp.141-153
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• 2020

This study aims to understand the antecedents and consequences of flow experience in online movie information sharing behavior of young Chinese moviegoers residing in Korea to explore a potential market. We followed the Stimulus-Organism-Response (S-O-R) theory and flow theory approaches for developing measures of constructs and investigated previous related studies. This study collected 186 data from Chinses students who attend Korean university. Statistical analysis revealed that information seeking behavior and telepresence are related to online flow experience. In addition, the online flow experience affected consumer satisfaction and information sharing behavior. Flow experience also has been predicted the mediation effect between stimulus information seeking behavior, telepresence and satisfaction and information sharing behavior. Our research findings offer insights for marketers in the movie distribution business who are interested in a better understanding of the behaviors of Chinese moviegoers residing in Korea

• Journal of Communications and Networks
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• 제18권5호
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• pp.818-825
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• 2016

Network management and anomaly detection are challenges in high-speed networks due to the high volume of packets that has to be analysed. Flow-based analysis is a scalable method which reduces the high volume of network traffic by dividing it into flows. As sampling methods are extensively used in flow generators such as NetFlow, the impact of sampling on the performance of flow-based analysis needs to be investigated. Monitoring using sampled traffic is a well-studied research area, however, the impact of sampling on flow-based anomaly detection is a poorly researched area. This paper investigates flow sampling methods and shows that these methods have negative impact on flow-based anomaly detection. Therefore, we propose an efficient probabilistic flow sampling method that can preserve flow traffic distribution. The proposed sampling method takes into account two flow features: Destination IP address and octet. The destination IP addresses are sampled based on the number of received bytes. Our method provides efficient sampled traffic which has the required traffic features for both flow-based anomaly detection and monitoring. The proposed sampling method is evaluated using a number of generated flow-based datasets. The results show improvement in preserved malicious flows.

• Journal of Mechanical Science and Technology
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• 제15권3호
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• pp.300-308
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• 2001

Tracking of moving objects within video streams is a complex and time-consuming process. Large number of moving objects increases the time for computation of tracking the moving objects. Because of large computations, there are real-time processing problems in tracking of moving objects. Also, the change of environment causes errors in estimation of tracking information. In this paper, we present a new method for tracking of moving objects using optical flow motion analysis. Optical flow represents an important family of visual information processing techniques in computer vision. Segmenting an optical flow field into coherent motion groups and estimating each underlying motion are very challenging tasks when the optical flow field is projected from a scene of several moving objects independently. The problem is further complicated if the optical flow data are noisy and partially incorrect. Optical flow estimation based on regulation method is an iterative method, which is very sensitive to the noisy data. So we used the Combinatorial Hough Transform (CHT) and Voting Accumulation for finding the optimal constraint lines. To decrease the operation time, we used logical operations. Optical flow vectors of moving objects are extracted, and the moving information of objects is computed from the extracted optical flow vectors. The simulation results on the noisy test images show that the proposed method finds better flow vectors and more correctly estimates the moving information of objects in the real time video streams.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 추계학술발표대회
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• pp.1061-1064
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• 2007

네트워크의 효율적인 관리를 위해서는 네트워크의 각 호스트에서 발생하는 트래픽을 실시간으로 모니터링 할 수 있는 시스템이 필요하다. 이러한 모니터링의 효율적인 방법 중 하나가 네트워크 장비에서 제공하는 flow 정보를 이용하는 방법이다. 하지만 이는 네트워크 장비의 과부하 발생, 운용비용 상승, 유연성 및 확장성 부족의 단점을 가진다. 이를 극복하기위하여 본 논문에서는 Enterprise 네트워크에 적합한 Flow 기반 실시간 트래픽 모니터링 시스템의 구조를 제안하고, 검증을 위해 구현한 내용을 기술한다. 본 시스템은 패킷을 수집하여 실시간으로 flow 정보를 생성하고 저장하는 Flow Generator 시스템, 저장된 flow 정보를 Analysis 시스템으로 전송하는 Flow Exporter 시스템, Traffic Analysis 시스템, 그리고 분석된 내용을 보여주는 Traffic Reporter 시스템으로 구성된다. 본 시스템은 다양한 분석 목적에 맞게 Flow 정보를 조절할 수 있는 유연성과 다양한 분석시스템을 구축할 수 있는 확장성을 가진다. 본 논문에서 기술한 시스템은 학교 Campus 네트워크를 대상으로 구축되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.4902-4932
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• 2016

The popularity of network virtualization has recently regained considerable momentum because of the emergence of OpenFlow technology. It is essentially decouples a data plane from a control plane and promotes hardware programmability. Subsequently, OpenFlow facilitates the implementation of network virtualization. This study aims to provide an overview of different approaches to create a virtual network using OpenFlow technology. The paper also presents the OpenFlow components to compare conventional network architecture with OpenFlow network architecture, particularly in terms of the virtualization. A thematic OpenFlow network virtualization taxonomy is devised to categorize network virtualization approaches. Several testbeds that support OpenFlow network virtualization are discussed with case studies to show the capabilities of OpenFlow virtualization. Moreover, the advantages of popular OpenFlow controllers that are designed to enhance network virtualization is compared and analyzed. Finally, we present key research challenges that mainly focus on security, scalability, reliability, isolation, and monitoring in the OpenFlow virtual environment. Numerous potential directions to tackle the problems related to OpenFlow network virtualization are likewise discussed.

• 한국정보처리학회논문지
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• 제6권10호
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• pp.2752-2763
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• 1999

On account of the text based mail system has it's limit to support multimedia applications, GUI based mail system platform was developed to control document flow and automatize information process. The existing mail systems's to transmit data must need additional functions to automate document flow control. The platform of document flow control is deeply related to EDMAS(Electronic document Management System), workflow, Electronic Banking, DMS(Document Management System) automation, so it needs an ability to control proper data and document correctly. To resolve this problems, we are need of browser and engine to design work flow and to control documents flow. In this paper, we develope a mail browser to design document flow by follow user's requirements. This system can generate executive script code for document flow, and we add the function of workflow and process management to automatize the document flow in this system, and then we implement this Data flow engine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.4787-4807
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• 2016

Although the dense interconnection datacenter networks (DCNs) (e.g. FatTree) provide multiple paths and high bisection bandwidth for each server pair, the single-path TCP (SPT) and ECMP which are widely used currently neither achieve high bandwidth utilization nor have good load balancing. Due to only one available transmission path, SPT cannot make full use of all available bandwidth, while ECMP's random hashing results in many collisions. In this paper, we present OFPT, an OpenFlow based Parallel Transport framework, which integrates precise routing and scheduling for better load balancing and higher network throughput. By adopting OpenFlow based centralized control mechanism, OFPT computes the optimal path and bandwidth provision for each flow according to the global network view. To guarantee high throughput, OFPT dynamically schedules flows with Seamless Flow Migration Mechanism (SFMM), which can avoid packet loss in flow rerouting. Finally, we test OFPT on Mininet and implement it in a real testbed. The experimental results show that the average network throughput in OFPT is up to 97.5% of bisection bandwidth, which is higher than ECMP by 36%. Besides, OFPT decreases the average flow completion time (AFCT) and achieves better scalability.