• Title/Summary/Keyword: 능동규칙

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Research of Data Mining Techniques for the Audit Data Analysis (감사데이터 분석을 위한 데이터 마이닝 기법의 연구)

  • Huh, Moon-Heang
    • Proceedings of the KAIS Fall Conference
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    • 2010.05a
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    • pp.459-462
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    • 2010
  • 최근 네트워크의 발달로 인해 네트워크 감사데이터의 양이 점점 증가하고 있다. 이렇게 증가하는 네트워크 감사데이터를 능동적이고 효율적으로 분석하기 위한 연구가 진행되고 있다. 하지만 지금까지의 연구들은 특정 침입탐지시스템에 제한되어 데이터 마이닝 기법을 적용하여 감사데이터를 분석하고 침입탐지모델을 구축하는 연구였다. 따라서 이 논문에서는 특정 침입탐지시스템에 의존하지 않고 감사데이터를 효율적으로 분석하여 알려지지 않은 공격패턴이나 규칙들을 발견하여 보안정책 실행시스템에서 활용할 수 있도록 하기위한 감사데이터 분석 마이너를 설계하고 구현하였다. 보안관리자는 구현된 감사데이터 마이너를 이용하여 원하는 정보를 가공 추출하여 고수준의 의미추출에 이용할 수 있다.

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한국 선거운동의 민주적 품질: 자유와 공정의 관점에서

  • Kim, Yong-Cheol
    • Korean Journal of Legislative Studies
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    • v.17 no.3
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    • pp.83-116
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    • 2011
  • 선거운동에 있어서 자유와 공정은 선거과정의 민주적 품질을 가늠하는 핵심적 가치이다. 선거과정에서 자유와 공정이 충분히 보장될 때, 유권자와 후보자 간의 역동적이며 설득적인 커뮤니케이션이 가능하다. 이 점에서 한국 선거운동의 민주적 품질은 아직 낮은 상태에 머무르고 있다. 한국의 선거법은 대단히 규제 중심적이며, 이는 과거 부정선거 및 타락선거의 경험에서 비롯된다. 하지만 선거환경은 빠르게 변화하여 왔다. 유권자의 선거문화 및 의식수준이 크게 개선되었으며, 인터넷의 확산은 더욱 능동적이고 참여적인 유권자를 탄생시키고 있다. 선거환경의 변화는 규제 중심적 선거규칙의 변경을 요구하고 있다. 하지만 선거운동의 민주적 품질은 법제도적 개선만으로 향상되는 것은 아니다. 선거경쟁의 장에서 공명정대한 관리자로서 선관위의 위상정립과 더불어, 유권자들의 건전한 선거문화의 형성을 위한 끊임없는 노력이 함께 병행될 때 비로소 선거운동을 둘러싼 민주적 품질의 실질적 향상이 성취될 수 있을 것이다.

Real-Time Multiple Face Detection Using Active illumination (능동적 조명을 이용한 실시간 복합 얼굴 검출)

  • 한준희;심재창;설증보;나상동;배철수
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.155-160
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    • 2003
  • This paper presents a multiple face detector based on a robust pupil detection technique. The pupil detector uses active illumination that exploits the retro-reflectivity property of eyes to facilitate detection. The detection range of this method is appropriate for interactive desktop and kiosk applications. Once the location of the pupil candidates are computed, the candidates are filtered and grouped into pairs that correspond to faces using heuristic rules. To demonstrate the robustness of the face detection technique, a dual mode face tracker was developed, which is initialized with the most salient detected face. Recursive estimators are used to guarantee the stability of the process and combine the measurements from the multi-face detector and a feature correlation tracker. The estimated position of the face is used to control a pan-tilt servo mechanism in real-time, that moves the camera to keep the tracked face always centered in the image.

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Lightweight and Migration Optimization Algorithms for Reliability Assurance of Migration of the Mobile Agent

  • Lee, Yon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.5
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    • pp.91-98
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    • 2020
  • The mobile agent, which handles a given task while migrating between the sensor nodes, moves including the execution commands and task processing results. This increases the size of the mobile agent, causing the network to load, leading to the migration time delay and the loss of migration reliability. This paper presents the method of lightening the mobile agent using distributed object technology and the algorithm for exploring and providing the optimal migration path that is actively performed in the event of network traffic, and it proposes a method to ensure the reliability of the mobile agent migration by applying them. In addition, through the comparative analysis experiments based on agent size and network traffic for the migration time of mobile agent equipped with active rules in sensor network-based mobile agent middleware environment, applying the proposed methods proves to ensure the autonomy and migration reliability of the mobile agent.

A Formal Modeling for Temporal and Active Properties of Managed Object Behavior (망관리 객체의 시간지원 능동 특성에 대한 전형적 모델링)

  • Choe, Eun-Bok;Lee, Hyeong-Ho;No, Bong-Nam
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.9
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    • pp.2479-2492
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    • 1999
  • Network management system(NMS) provides not only effective monitoring and controlling of network which consists of heterogeneous network elements but prompt response to users' need for high-level communication services. Recommendations of ITU-T and ISO stipulate the managerial abstraction of static and dynamic characteristics of network elements, management functions as well as management communication protocol. But the current description method does not provide the formal mechanism for the behavior characteristics of managed objects in clear manner but in natural language form, the complete specification of managed objects is not fully described. In this paper, we describe determinants for the behaviour of managed objects applicable to every managed object, and present a language for specifying behavioral aspects of managed objects based on their temporal and active properties.

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An Adaptive Switching Mechanism for Three-Dimensional Hybrid Cameras (하이브리드 입체 카메라의 적응적인 스위칭 메커니즘)

  • Jang, Seok-Woo;Choi, Hyun-Jun;Lee, Suk-Yun;Huh, Moon-Haeng
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1459-1466
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    • 2013
  • Recently, various types of three-dimensional cameras have been used to analyze surrounding environments. In this paper, we suggest a mechanism of adaptively switching active and passive cameras of hybrid cameras, which can extract 3D image information more accurately. The suggested method first obtains brightness and texture features representing the environment from input images. It then adaptively selects active and passive cameras by generating rules that reflect the extracted features. In experimental results, we show that a hybrid 3D camera consisting of passive and active cameras is set up and the proposed method can effectively choose appropriate cameras in the hybrid camera and make it possible to extract three dimensional information more accurately.

A study on environmental adaptation and expansion of intelligent agent (지능형 에이전트의 환경 적응성 및 확장성)

  • Baek, Hae-Jung;Park, Young-Tack
    • The KIPS Transactions:PartB
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    • v.10B no.7
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    • pp.795-802
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    • 2003
  • To live autonomously, intelligent agents such as robots or virtual characters need ability that recognizes given environment, and learns and chooses adaptive actions. So, we propose an action selection/learning mechanism in intelligent agents. The proposed mechanism employs a hybrid system which integrates a behavior-based method using the reinforcement learning and a cognitive-based method using the symbolic learning. The characteristics of our mechanism are as follows. First, because it learns adaptive actions about environment using reinforcement learning, our agents have flexibility about environmental changes. Second, because it learns environmental factors for the agent's goals using inductive machine learning and association rules, the agent learns and selects appropriate actions faster in given surrounding and more efficiently in extended surroundings. Third, in implementing the intelligent agents, we considers only the recognized states which are found by a state detector rather than by all states. Because this method consider only necessary states, we can reduce the space of memory. And because it represents and processes new states dynamically, we can cope with the change of environment spontaneously.

On-line Fundamental Frequency Tracking Method for Harmonic Signal and Application to ANC (조화신호의 실시간 기본 주파수 추종 방법과 능동소음제어에의 응용)

  • Kim, Sun-Min;Park, Young-Jin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.263-268
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    • 2000
  • In this paper, a new indirect feedback active noise control (ANC) scheme based on the fundamental frequency estimation is proposed for systems with a harmonic noise. When reference signals necessary for feedforward ANC configuration is difficult to obtain, the conventional ANC algorithms for multi-tonal noise do not measure the reference signals but generate them with the estimated frequencies. However, the beating phenomena, in which certain frequency components of the noise vanish intermittently, may make the adaptive frequency estimation difficult. The confusion in the estimated frequencies due to the beating phenomena makes the generated reference signals worthless. The proposed algorithm consists of two parts. The first part is a reference generator using the fundamental frequency estimation and the second one is the conventional feedforward control. We propose the fundamental frequency estimation algorithm using decision rules, which is insensitive to the beating phenomena. In addition, the proposed fundamental frequency estimation algorithm has good tracking capability and lower variance of frequency estimation error than that of the conventional cascade ANF method. We are also able to control all interested modes of the noise, even which cannot be estimated by the conventional frequency estimation method because of the poor SIN ratio. We verify the performance of the proposed ANC method through simulations for the measured cabin noise of a passenger ship and the measured time-varying engine booming noise of a passenger vehicle.

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A Formal Modeling of Managed Object Behaviour with Dynamic Temporal Properties (동적 시간지원 특성을 지원하는 망관리 객체의 정형적 모델링)

  • Choi, Eun-Bok;Lee, Hyung-Hyo;Noh, Bong-Nam
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.1
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    • pp.166-180
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    • 2000
  • Recommendations of ITU-T and ISO stipulate the managerial abstraction of static and dynamic characteristics of network elements, management functions as well as management communication protocol. The current recommendations provide the formal mechanism for the structural parts of managed objects such as managed object class and attributes. But the current description method does not provide the formal mechanism for the behavioral characteristics of managed objects in clear manner but in natural language form, the complete specification of managed objects is not fully described. Also, the behaviour of managed objects is affected by their temporal and active properties. While the temporal properties representing periodic or repetitive internals are to describe managed objects behaviour in rather strict way, it will be more powerful if more dynamic temporal properties determined by external conditions are added to managed objects. In this paper, we added dynamic features to scheduling managed objects, and described, in GDMO, scheduling managed objects that support dynamic features. We also described behaviour of managed objects in newly defined BDL that has dynamic temporal properties. This paper showed that dynamic temporal managed objects provide a systematic and formal method in agent management function model.

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Location Trigger System for the Application of Context-Awareness based Location services

  • Lee, Yon-Sik;Jang, Min-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.149-157
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    • 2019
  • Recent research has been actively carried out on systems that want to optimize resource utilization by analyzing the intended behavior and pattern of behavior of objects (users, consumers). A service system that applies information about an object's location or behavior must include a location trigger processing system for tracking an object's real-time location. In this paper, we analyze design problems for the implementation of a context-awareness based location trigger system, and present system models based on analysis details. For this purpose, this paper introduces the concept of location trigger for intelligent location tracking techniques about moving situations of objects, and suggests a mobile agent system with active rules that can perform monitoring and appropriate actions based on sensing information and location context information, and uses them to design and implement the location trigger system for context-awareness based location services. The proposed system is verified by implementing location trigger processing scenarios and trigger service and action service protocols. In addition, through experiments on mobile agents with active rules, it is suggested that the proposed system can optimize the role and function of the application system by using rules appropriate to the service characteristics and that it is scalable and effective for location-based service systems. This paper is a preliminary study for the establishment of an optimization system for utilizing resources (equipment, power, manpower, etc.) through the active characteristics of systems such as real-time remote autonomous control and exception handling over consumption patterns and behavior changes of power users. The proposed system can be used in system configurations that induce optimization of resource utilization through intelligent warning and action based on location of objects, and can be effectively applied to the development of various location service systems.