• 제목/요약/키워드: model update

검색결과 649건 처리시간 0.025초

위치 인식 컴퓨팅에서 효율적인 위치 관리 기법 (An Efficient Location Management Scheme in Locaton - Aware Computing)

  • MoonBae, Song;KwangJin, Park;Chong-Sun, Hwang
    • 한국정보과학회논문지:데이타베이스
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    • 제31권5호
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    • pp.505-515
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    • 2004
  • 이동 객체의 위치를 효율적으로 추적하는 방법을 찾는 일은 위치 인식 컴퓨팅에서 가장 중요한 문제 가운데 하나로 꼽을 수 있다 이를 위해서 저장된 위치 정보를 효율적으로 갱신하는 프로토콜이 필요하다. 이러한 위치 갱신 전략의 성능은 가정한 이동 패턴에 따라 크게 좌우되는데, 지금까지의 연구는 이동성 문제를 무시하였거나, 시간에 대한 지나치게 단순한 선형함수로만 다루고 있다. 이 논문은 이동 패턴이 복잡한 객체들의 위치 정보를 표현하고 갱신하기 위한 상태 기반 이동 모델을 제안한다. 그리고, 이 모델을 바탕으로 이동성을 인식하는 상태기반 위치 갱신 프로토콜을 제안한다. 성능을 비교하여, 이 방법이 위치 갱신 비용과 대역폭 소모를 두드러지게 줄일 수 있음을 보여준다.

관리도 성능평가모형을 통한 관리한계선 갱신주기 탐지기법 (Update Cycle Detection Method of Control Limits using Control Chart Performance Evaluation Model)

  • 김종우;박정술;김준석;김성식;백준걸
    • 대한산업공학회지
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    • 제40권1호
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    • pp.43-51
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    • 2014
  • Statistical process control (SPC) is an important technique for monitoring and managing the manufacturing process. In spite of its easiness and effectiveness, some problematic sides of application exist such that the SPC techniques are hardly reflect the changes of the process conditions. Especially, update of control limits at the right time plays an important role in acquiring a reasonable performance of control charts. Therefore, we propose the control chart performance evaluation index (CPEI) based on count data model to monitor and manage the performance of control charts. The CPEI could indicate the degree of control chart performance and be helpful to detect the proper update cycle of control limits in real time. Experiments using real manufacturing data show that the proper update intervals are made by proposed method.

관계형 데이터베이스에서 응답시간에 제약이 있는 경우 최적 역정규화 방법 (An Optimal Denormalization Method in Relational Database with Response Time Constraint)

  • 장영관
    • 산업경영시스템학회지
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    • 제26권3호
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    • pp.1-9
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    • 2003
  • Databases are central to business information systems and RDBMS is most widely used for the database system. Normalization was designed to control various anomalies (insert, update, delete anomalies). However, normalized database design does not account for the tradeoffs necessary for performance. In this research, I model a database design method considering denormalization of duplicating attributes in order to reduce frequent join processes. This model considers response time for processing each select, insert, update, delete transaction, and for treating anomalies. A branch and bound method is proposed for this model.

관계형 데이터베이스에서 비정규화를 사용한 데이터베이스 설계 (A database design using denormalization in relational database)

  • 장영관;강맹규
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.172-178
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    • 1996
  • Databases are critical to business information systems, and RDBMS is most widely usded for the database system. Normalization has been designed to control various anomalies(insert, update, and delete anomalies). However, normalized databese design does not account for the tradeoffs necessary for the performance. In this research, we develop a model for database desin by denormalization of duplicating attributes in order to reduce frequent join processes. In this model, we consider insert, update, and delete costs. The anomalies are treated by additional disk I/O which is necessary for each insert and update transaction. We propose a branch and bound method for this model, and show considerable cost reduction.

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IMM 알고리듬을 이용한 적응 최신화 빈도 추적 (Adaptive Update Rate Tracking Using IMM Algorithm)

  • 신형조;홍선목
    • 전자공학회논문지B
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    • 제30B권12호
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    • pp.59-66
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    • 1993
  • In this paper we propose an adaptive update rate tracking algorithm for a phased array radar, based on the interacting multiple model(IMM) algorithm. The purpose of the IMM algorithm hers is twofold: 1) to estimate and predict the target states, and 2) to estimate the level of the process noise. Using the estimate of the process noise level adapted to target dynamics, the update interval is determined to maintain a desired prediction accuracy so that the radar system load is minimized. The adaptive update rate tracking algorithm is implemented for a phased array radar and evaluated with Monte Carlo simulations on various trajectories. The evaluation results of the proposed algorithm and a standard Kalman filter without the adaptive update rate control are presented to compare.

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Lattice-based strongly-unforgeable forward-secure identity-based signature scheme with flexible key update

  • Zhang, Xiangsong;Liu, Zhenhua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권5호
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    • pp.2792-2810
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    • 2017
  • Forward-secure signature is a specific type of signature, which can mitigate the damage caused by the signing key exposure. Most of the existing forward-secure (identity-based) signature schemes can update users' secret keys at each time period, achieve the existential unforgeability, and resist against classical computer attacks. In this paper, we first revisit the framework of forward-secure identity-based signatures, and aim at supporting flexible key update at multi time period. Then we propose a post-quantum forward-secure identity-based signature scheme from lattices and use the basis delegation technique to provide flexible key update. Finally, we prove that the proposed scheme is strongly unforgeable under the short integer solution (SIS) hardness assumption in the random oracle model.

이동 통신망에서 방향성을 지닌 2개의 연속적 위치영역을 이용한 예측 위치 관리 전략 (Predictive Location Management Strategy Using Two Directional Consecutive LAs in a Cellular Network)

  • 장인갑;홍정식;김지표;이창훈
    • 한국경영과학회지
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    • 제33권3호
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    • pp.43-58
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    • 2008
  • In this paper, we have presented a dynamic, predictive location update scheme that takes into account each user's mobility patterns. A user's past movement history is used to create two-dimensional transition probability matrix which makes use of two directional consecutive location areas. A mobile terminal utilizes the transition probability to develop a predictive path which consists of several predictive nodes and then the location update is saved as long as a mobile user follows the predictive path. Using continuous-time Markov chain, cost functions of location update and paging are derived and it is shown that the number of predictive nodes can be determined optimally. To evaluate the proposed scheme, simulations are designed and the numerical analysis is carried out. The numerical analysis features user's mobility patterns and regularity, call arrival rates, and cost ratio of location update to paging. Results show that the proposed scheme gives lower total location management cost, compared to the other location update schemes.

Replica Update Propagation Using Demand-Based Tree for Weak Consistency in the Grid Database

  • Ge, Ruixuan;Jang, Yong-Il;Park, Soon-Young;Bae, Hae-Young
    • 한국멀티미디어학회논문지
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    • 제9권12호
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    • pp.1542-1551
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    • 2006
  • In the Grid Database, some replicas will have more requests from the clients than others. A fast consistency algorithm has been presented to satisfy the high demand nodes in a shorter period of time. But it has poor performance in multiple regions of high demand for forming the island of locally consistent replicas. Then, a leader election method is proposed, whereas it needs much additional cost for periodic leader election, information storage, and message passing, Also, false leader can be created. In this paper, we propose a tree-based algorithm for replica update propagation. Leader replicas with high demand are considered as the roots of trees which are interconnected. All the other replicas are sorted and considered as nodes of the trees. Once an update occurs at any replica, it need be transmitted to the leader replicas first. Every node that receives the update propagates it to its children in the tree. The update propagation is optimized by cost reduction for fixed propagation schedule. And it is also flexible for the dynamic model in which the demand conditions change with time.

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궤도결정을 위한 비선형 필터 (Nonlinear Filter for Orbit Determination)

  • 윤장호
    • 항공우주시스템공학회지
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    • 제10권1호
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    • pp.21-28
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    • 2016
  • Orbit determination problems have been interest of many researchers for long time. Due to the high nonlinearity of the equation of motion and the measurement model, it is necessary to linearize the both equations. To avoid linearization, the filter based on Fokker-Planck equation is designed. with the extended Kalman filter update mechanism, in which the associated Fokker-Planck equation was solved efficiently and accurately via discrete quadrature and the measurement update was done through the extended Kalman filter update mechanism. This filter based on the DQMOM and the EKF update is applied to the orbit determination problem with appropriate modification to mitigate the filter smugness. Unlike the extended Kalman filter, the hybrid filter based on the DQMOM and the EKF update does not require the burdensome evaluation of the Jacobian matrix and Gaussian assumption for the system, and can still provide more accurate estimations of the state than those of the extended Kalman filter especially when measurements are sparse. Simulation results indicate that the advantages of the hybrid filter based on the DQMOM and the EKF update make it a promising alternative to the extended Kalman filter for orbit estimation problems.

관계형 데이터베이스에서 저장용량에 제약이 없는 경우 비 정규화를 고려한 데이터베이스 설계 (A Database Design without Storage Constraint Considering Denormalization in Relational Database)

  • 장영관;강맹규
    • 산업경영시스템학회지
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    • 제19권37호
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    • pp.251-261
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    • 1996
  • Databases are critical to business information systems and RDBMS is most widely used for the database system. Normalization was designed to control various anomalies(insert, update, and delete anomalies). However normalized database design does not account for the tradeoffs necessary for the performance reason. In this research, we model a database design problem without storage constraint. Given a normalized database design, in this model, we do the denormalization of duplicating columns in order in reduce frequent join processes. In this paper, we consider insert, update, delete, and storage cost, and the anomalies are treated by additional disk I/O cost necessary for each insert, update transaction. We propose a branch and bound method, and show considerable cost reduction.

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