• Title/Summary/Keyword: Window Operator

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A Linear Window Operator Based Upon the Algorithm Decomposition (알고리즘 분해방법을 이용한 Linear Window Operator의 구현)

  • 정재길
    • The Journal of Information Technology
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    • v.5 no.1
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    • pp.133-142
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    • 2002
  • This paper presents an efficient implementation of the linear window operator. I derived computational primitives based upon a block state space representation. The computational primitive can be implemented as a data path for a programmable processor, which can be used for the efficient implementation of a linear window operator. A multiprocessor architecture is presented for the realtime processing of a linear window operator. The architecture is designed based upon the data partitioning technique. Performance analysis for the various block size is provided.

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Cost Analysis of Window Memory Relocation for Data Stream Processing (데이터 스트림 처리를 위한 윈도우 메모리 재배치의 비용 분석)

  • Lee, Sang-Don
    • The Journal of the Korea Contents Association
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    • v.8 no.4
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    • pp.48-54
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    • 2008
  • This paper analyzes cost tradeoffs between memory usage and computation for window-based operators in data stream environments. It identifies generic operator network constructs, and sets up a cost model for the estimation of the expected memory reduction and the computation overheads when window memory relocations are applied to each operator network construct. This cost model helps to identify the utility of window memory relocations. It also helps to apply window memory relocation to improve a query execution plan to save memory usage. The proposed approach contributes to expand the scope of query processing and optimization in data stream environments. It also provides a basis to develop a cost estimation model for the query optimization using window memory relocations.

An Evaluation of Operator's Action Time for Core Cooling Recovery Operation in Nuclear Power Plant (원자력발전소의 노심냉각회복 조치에 대한 운전원 조치시간 평가)

  • Bae, Yeon-Kyoung
    • Journal of the Korean Society of Safety
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    • v.27 no.5
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    • pp.229-234
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    • 2012
  • Operator's action time is evaluated from MAAP4 analysis used in conventional probabilistic safety assessment(PSA) of a nuclear power plant. MAAP4 code which was developed for severe accident analysis is too conservative to perform a realistic PSA. A best-estimate code such as RELAP5/MOD3, MARS has been used to reduce the conservatism of thermal hydraulic analysis. In this study, operator's action time of core cooling recovery operation is evaluated by using the MARS code, which its Fussell-Vessely(F-V) value was evaluated as highly important in a small break loss of coolant(SBLOCA) event and loss of component cooling water(LOCCW) event in previous PSA. The main conclusions were elicited : (1) MARS analysis provides larger time window for operator's action time than MAAP4 analysis and gives the more realistic time window in PSA (2) Sufficient operator's action time can reduce human error probability and core damage frequency in PSA.

A Valley Operator for Extracting Sketch Features (스케치 특징의 추출을 위한 밸리 연산자)

  • 류영진;김남철
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.5
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    • pp.559-565
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    • 1988
  • A new valley operator is presented for extracting sketch features which contain valleys and edges subject to local intensities. It is a very simple operator using the local probablities in a 3x3 local window. Experimental results show its excellent performance over the existing valley or edge operators.

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Development of Digital Image Forgery Detection Method Utilizing LE(Local Effect) Operator based on L0 Norm (L0 Norm 기반의 LE(Local Effect) 연산자를 이용한 디지털 이미지 위변조 검출 기술 개발)

  • Choi, YongSoo
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.153-162
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    • 2020
  • Digital image forgery detection is one of very important fields in the field of digital forensics. As the forged images change naturally through the advancement of technology, it has made it difficult to detect forged images. In this paper, we use passive forgery detection for copy paste forgery in digital images. In addition, it detects copy-paste forgery using the L0 Norm-based LE operator, and compares the detection accuracy with the forgery detection using the existing L2, L1 Norm-based LE operator. In comparison of detection rates, the proposed lower triangular(Ayalneh and Choi) window was more robust to BAG mismatch detection than the conventional window filter. In addition, in the case of using the lower triangular window, the performance of image forgery detection was measured increasingly higher as the L2, L1 and L0 Norm LE operator was performed.

Design and Implementation of Fast Scalar Multiplier of Elliptic Curve Cryptosystem using Window Non-Adjacent Form method (Window Non-Adajcent Form method를 이용한 타원곡선 암호시스템의 고속 스칼라 곱셈기 설계 및 구현)

  • 안경문;김종태
    • Proceedings of the IEEK Conference
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    • 2002.06b
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    • pp.345-348
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    • 2002
  • This paper presents new fast scalar multiplier of elliptic curve cryptosystem that is regarded as next generation public-key crypto processor. For fast operation of scalar multiplication a finite field multiplier is designed with LFSR type of bit serial structure and a finite field inversion operator uses extended binary euclidean algorithm for reducing one multiplying operation on point operation. Also the use of the window non-adjacent form (WNAF) method can reduce addition operation of each other different points.

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Point Cloud Measurement Using Improved Variance Focus Measure Operator

  • Yeni Li;Liang Hou;Yun Chen;Shaoqi Huang
    • Current Optics and Photonics
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    • v.8 no.2
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    • pp.170-182
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    • 2024
  • The dimensional accuracy and consistency of a dual oil circuit centrifugal fuel nozzle are important for fuel distribution and combustion efficiency in an engine combustion chamber. A point cloud measurement method was proposed to solve the geometric accuracy detection problem for the fuel nozzle. An improved variance focus measure operator was used to extract the depth point cloud. Compared with other traditional sharpness evaluation functions, the improved operator can generate the best evaluation curve, and has the least noise and the shortest calculation time. The experimental results of point cloud slicing measurement show that the best window size is 24 × 24 pixels. In the height measurement experiment of the standard sample block, the relative error is 2.32%, and in the fuel nozzle cone angle measurement experiment, the relative error is 2.46%, which can meet the high precision requirements of a dual oil circuit centrifugal fuel nozzle.

MMJoin: An Optimization Technique for Multiple Continuous MJoins over Data Streams (데이타 스트림 상에서 다중 연속 복수 조인 질의 처리 최적화 기법)

  • Byun, Chang-Woo;Lee, Hun-Zu;Park, Seog
    • Journal of KIISE:Databases
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    • v.35 no.1
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    • pp.1-16
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    • 2008
  • Join queries having heavy cost are necessary to Data Stream Management System in Sensor Network where plural short information is generated. It is reasonable that each join operator has a sliding-window constraint for preventing DISK I/O because the data stream represents the infinite size of data. In addition, the join operator should be able to take multiple inputs for overall results. It is possible for the MJoin operator with sliding-windows to do so. In this paper, we consider the data stream environment where multiple MJoin operators are registered and propose MMJoin which deals with issues of building and processing a globally shared query considering characteristics of the MJoin operator with sliding-windows. First, we propose a solution of building the global shared query execution plan. Second, we solved the problems of updating a window size and routing for a join result. Our study can be utilized as a fundamental research for an optimization technique for multiple continuous joins in the data stream environment.

A Review of Window Query Processing for Data Streams

  • Kim, Hyeon Gyu;Kim, Myoung Ho
    • Journal of Computing Science and Engineering
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    • v.7 no.4
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    • pp.220-230
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    • 2013
  • In recent years, progress in hardware technology has resulted in the possibility of monitoring many events in real time. The volume of incoming data may be so large, that monitoring all individual data might be intractable. Revisiting any particular record can also be impossible in this environment. Therefore, many database schemes, such as aggregation, join, frequent pattern mining, and indexing, become more challenging in this context. This paper surveys the previous efforts to resolve these issues in processing data streams. The emphasis is on specifying and processing sliding window queries, which are supported in many stream processing engines. We also review the related work on stream query processing, including synopsis structures, plan sharing, operator scheduling, load shedding, and disorder control.