• 제목/요약/키워드: Multi operator

검색결과 275건 처리시간 0.027초

데이타 스트림에서의 다중 조인 질의 최적화 방법 (Optimizing Multi-way Join Query Over Data Streams)

  • 박홍규;이원석
    • 한국정보과학회논문지:데이타베이스
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    • 제35권6호
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    • pp.459-468
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    • 2008
  • 데이타 스트림이란 실시간에 연속적으로 빠르게 생성되는 데이타 집합을 의미한다. 이러한 데이타 스트림들은 최근 사회가 발달과 더불어 정보 환경도 급속도로 발전함에 따라 센서 데이타, 교통상황 수집 자료, 웹 클릭 모니터링 등과 같은 많은 응용 분야에서 적용되고 있다. 이러한 형태의 데이트 스트립을 처리하기 위해서는 미리 등록된 질의에 대하여 새롭게 들어오는 스트림 데이타의 결과를 계속적으로 생성하게 된다. 이와 같은 이유로 끊임없이 들어오는 스트링 데이타들을 빠르게 처리하는 것이 이 분야에서 주된 이슈가 되었으며, 이를 위한 방법으로 등록된 질의들을 효율적으로 처리하기 위한 질의 최적화분야에 많은 연구가 있었다. 그러므로 본 논문에서는 기존 연구에서 사용되었던 그리디 방법을 기반으로 비용 모델을 이용하여 최소의 비용을 갖는 질의 계획을 선택하는 확장된 그리디 방법(EGA)을 제시한다. 화장된 그리디 방법은 알고리즘의 정확성이 떨어지는 그리디 알고리즘의 단점을 극복하기 위하여 비용이 가장 작은 연산하나를 선택하는 대신 비용이 자은 연산들의 집합을 선택한다. 이 연산들의 집합의 크기는 알고리즘의 정확성과 수행 시간에 영향을 끼치며, 투 개의 변수에 의해서 적응적으로 조절 수 있다. 실험에서는 다양한 스트림 환경에서 대부분 그리디 알고리즘보다 향상된 성능을 보장하고, 두 변수에 의한 알고리즘의 성능 및 수행 시간 차이를 보여줌으로써 본 알고리즘의 효율성을 검증하였다.

Electricity Price Forecasting in Ontario Electricity Market Using Wavelet Transform in Artificial Neural Network Based Model

  • Aggarwal, Sanjeev Kumar;Saini, Lalit Mohan;Kumar, Ashwani
    • International Journal of Control, Automation, and Systems
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    • 제6권5호
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    • pp.639-650
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    • 2008
  • Electricity price forecasting has become an integral part of power system operation and control. In this paper, a wavelet transform (WT) based neural network (NN) model to forecast price profile in a deregulated electricity market has been presented. The historical price data has been decomposed into wavelet domain constitutive sub series using WT and then combined with the other time domain variables to form the set of input variables for the proposed forecasting model. The behavior of the wavelet domain constitutive series has been studied based on statistical analysis. It has been observed that forecasting accuracy can be improved by the use of WT in a forecasting model. Multi-scale analysis from one to seven levels of decomposition has been performed and the empirical evidence suggests that accuracy improvement is highest at third level of decomposition. Forecasting performance of the proposed model has been compared with (i) a heuristic technique, (ii) a simulation model used by Ontario's Independent Electricity System Operator (IESO), (iii) a Multiple Linear Regression (MLR) model, (iv) NN model, (v) Auto Regressive Integrated Moving Average (ARIMA) model, (vi) Dynamic Regression (DR) model, and (vii) Transfer Function (TF) model. Forecasting results show that the performance of the proposed WT based NN model is satisfactory and it can be used by the participants to respond properly as it predicts price before closing of window for submission of initial bids.

A Novel Face Recognition Algorithm based on the Deep Convolution Neural Network and Key Points Detection Jointed Local Binary Pattern Methodology

  • Huang, Wen-zhun;Zhang, Shan-wen
    • Journal of Electrical Engineering and Technology
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    • 제12권1호
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    • pp.363-372
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    • 2017
  • This paper presents a novel face recognition algorithm based on the deep convolution neural network and key point detection jointed local binary pattern methodology to enhance the accuracy of face recognition. We firstly propose the modified face key feature point location detection method to enhance the traditional localization algorithm to better pre-process the original face images. We put forward the grey information and the color information with combination of a composite model of local information. Then, we optimize the multi-layer network structure deep learning algorithm using the Fisher criterion as reference to adjust the network structure more accurately. Furthermore, we modify the local binary pattern texture description operator and combine it with the neural network to overcome drawbacks that deep neural network could not learn to face image and the local characteristics. Simulation results demonstrate that the proposed algorithm obtains stronger robustness and feasibility compared with the other state-of-the-art algorithms. The proposed algorithm also provides the novel paradigm for the application of deep learning in the field of face recognition which sets the milestone for further research.

레스토랑 종합 메뉴 판매 가격 결정 시스템에 관한 연구 (AN INTEGRATED RESTAURANT MENU-PRICING SYSTEM)

  • 이연희
    • 한국관광식음료학회지:관광식음료경영연구
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    • 제9권
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    • pp.213-242
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    • 1998
  • Even in the best of economic environments, restaurants menu pricing is a serious concern to those in the food service industry. During times of rapid inflation, closer government regulation of compensation practices, and limited gains in worker productivity, the decisions regarding the proper charge for menu items become increasingly important. In addition to many operational and managerial factors, an important ingredient in the food service enterprise's success is its ability to meet the market by providing the value expected. The contribution-margin approach to pricing described above is familiar to cost accountants, who will also recognize that it admits of much elaboration before it can become a tool for day-to-day decisions. But the system probably has the greatest promise for multi-unit companies, where the cost benefit ratio of additional refinements improves in proportion to the number of operations. For example, the analysis required to specify the demand function better becomes less expensive if the findings can be applied to the pricing structure of numerous units. In any of its many adaptations, the essence of the integrated menu pricing system remains its ability to bring together the relevant revenues and costs with the operator's sense of the market and competitive environment to suggest prices that maximize profits.

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A Review of EOS Thermal Control Logic for MSC on KOMPSAT-2

  • Heo H.P.;Kong J.P.;Kim Y.S.;Park J.E.;Youn H.S.;Paik H.Y.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.452-455
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    • 2004
  • MSC (Multi-Spectral Camera) system is a remote sensing instrument to obtain high resolution ground image. EOS (Electro-Optic System) for MSC mainly consists of PMA (Primary Mirror Assembly), SMA (Secondary Mirror Assembly), HSTS (High Stability Telescope Structure) and DFPA (Detector Focal Plane Assembly). High performance of EOS makes it possible for MSC system to provide high resolution and high quality ground images. Temperature of the EOS needs to be controlled to be in a specific range in order not to have any thermal distortion which can cause performance degradation. It is controlled by full redundant CPU based electronics. The validity of thermistor readings can be checked because a few thermistors are installed on each control point on EOS. Various kinds of thermal control logics are used to prevent 'Single Point Failure'. Control logic has a few set of database in order not to be corrupted by SEU (Single Event Upset). Even though the thermal control logic is working automatically, it can also be monitored and controlled by ground-station operator. In this paper, various ways of thermal control logic for EOS in MSC will be presented, which include thermal control mode and logic, redundancy design and status monitoring and reporting scheme.

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반도체 소자용 자동 die bonding system의 개발 (Development of automatic die bonder system for semiconductor parts assembly)

  • 변증남;오상록;서일홍;유범재;안태영;김재옥
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.353-359
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    • 1988
  • In this paper, the design and implementation of a multi-processor based die bonder machine for the semiconductor will be described. This is a final research results carried out for two years from June, 1986 to July, 1988. The mechanical system consists of three subsystems such as bonding head module, wafer feeding module, and lead frame feeding module. The overall control system consists of the following three subsystems each of which employs a 16 bit microprocessor MC 68000 : (i) supervisory control system, (ii) visual recognition / inspection system and (iii) the display system. Specifically, the supervisory control system supervises the whole sequence of die bonder machine, performs a self-diagnostics while it controls the bonding head module according to the prespecified bonding cycle. The vision system recognizes the die to inspect the die quality and deviation / orientation of a die with respect to a reference position, while it controls the wafer feeding module. Finally, the display system performs a character display, image display ans various error messages to communicate with operator. Lead frame feeding module is controlled by this subsystem. It is reported that the proposed control system were applied to an engineering sample and tested in real-time, and the results are sucessful as an engineering sample phase.

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선박용 ICCP 제어 감시 시스템에 관한 연구 (A Study on the ICCP Control and Monitoring System for Ship)

  • 이지영;오진석
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권4호
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    • pp.667-674
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    • 2004
  • This thesis is about the Impressed Current Cathodic Protection (ICCP) control and monitoring system. which brings protection against the corrosion of the ship's hull in the sea environments. The ICCP system is composed of a power supply. anode. reference electrode and controller. AC sources from the ship's generator are converted to DC sources in terms of power supply, and a protection current is sent to ship's hull though anode. The controller fully senses whether or not the detected potential is within a range of protection of ship's hull and then it is automatically controlled to increase or decrease the amount of protective current to be sent to the anode. The monitoring system with RS 232/485 communication is also studied in order to check the normal state of the system at a long period. because an operator does not always watch over this system and thus the system cannot operate well because of his or her negligent management. Since the vessel always navigates in the sea. an characteristics experiment of the ICCP system is conducted by introducing various corrosive environmental factors such as velocity, resistivity, dissolved oxygen, PH, temperature and contamination degree. These results must be referred to when the ICCP system is set up. In short. the ICCP is a multi-system for use on ships and on land structures because it includes a safety device. It is suggested that this system can accomodate a ship's automation and will be very useful.

건설로봇용 인간-로봇 협업 제어 (Human-Robot Cooperative Control for Construction Robot)

  • 이승열;이계영;이상헌;한창수
    • 대한기계학회논문집A
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    • 제31권3호
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    • pp.285-294
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    • 2007
  • Previously, ASCI(Automation System for Curtain-wall Installation) which combined with a multi-DOF manipulator to a mini-excavator was developed and applied on construction site. As result, the operation by one operator and more intuitive operation method are proposed to improve ASCI's operation method which need one person with a remote joystick and another operating an excavator. The human-robot cooperative system can cope with various and untypical constructing environment through the real-time interacting with a human, robot and constructing environment simultaneously. The physical power of a robot system helps a human to handle heavy construction materials with relatively scaled-down load. Also, a human can feel and response the force reflected from robot end effecter acting with working environment. This paper presents the feasibility study regarding the application of the proposed human-robot cooperation control for construction robot through experiments on a 2DOF manipulator.

조종부하와 조선곤란성의 관계에 관하여 (Relation with Operational Stress and Environmental Difficulty on Maneuvering of Ship)

  • 성유창
    • 한국항해항만학회지
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    • 제33권10호
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    • pp.665-669
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    • 2009
  • 수역에서 항행할 시, 선박운항자는 위험을 회피하기 위해 타와 주기관 사용 등 여러 가지 조종요소를 사용하게 된다. 그 때 어느 정도의 조작량을 사용하는 가에 관해서는 선박운항자 개인의 특성에 따라 그 사용량 및 빈도는 달라지게 된다. 그러나 이러한 조종 요소의 빈번한 사용은 선박운항자에게 일정한 부하를 주게 될 것으로 생각된다. 본 연구에서는 이 부하를 조종부하로 정의하고, 교각이 설치된 직선 항로를 통항하는 시뮬레이터 실험을 통하여 조선 곤란성과의 관계를 접근하고자 하였다. 사용한 변수 항목으로는 우회와 감속과 이러한 조종 행동에 따른 항행시간 연장률 및 조선 곤란성(Environmental Stress) 수치를 이용하였다.

풍력단지 제어를 위한 생산가능 출력에 대한 연구 (Study on the Available Power of a Wind Turbine for Wind Farm Control)

  • 오용운;백인수;남윤수;라요한
    • 한국태양에너지학회 논문집
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    • 제34권1호
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    • pp.1-7
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    • 2014
  • A study on the available power of a wind turbine to be used for wind farm control was performed in this study, To accurately estimate the available power it is important to obtain a suitable wind which represents the three dimensional wind that the wind turbine rotor faces and also used to calculate the power. For this, two different models, the equivalent wind and the wind speed estimator were constructed and used for dynamic simulation using matlab simulink. From the comparison of the simulation result with that from a commercial code based on multi-body dynamics, it was found that using the hub height wind to estimate available power from a turbine results in high frequency components in the power prediction which is, in reality, filtered out by the rotor inertia. It was also found that the wind speed estimator yielded less error than the equivalent wind when compared with the result from the commercial code.