• Title/Summary/Keyword: batch method

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Classification of large-scale data and data batch stream with forward stagewise algorithm (전진적 단계 알고리즘을 이용한 대용량 데이터와 순차적 배치 데이터의 분류)

  • Yoon, Young Joo
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1283-1291
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    • 2014
  • In this paper, we propose forward stagewise algorithm when data are very large or coming in batches sequentially over time. In this situation, ordinary boosting algorithm for large scale data and data batch stream may be greedy and have worse performance with class noise situations. To overcome those and apply to large scale data or data batch stream, we modify the forward stagewise algorithm. This algorithm has better results for both large scale data and data batch stream with or without concept drift on simulated data and real data sets than boosting algorithms.

Boosting Algorithms for Large-Scale Data and Data Batch Stream (대용량 자료와 순차적 자료를 위한 부스팅 알고리즘)

  • Yoon, Young-Joo
    • The Korean Journal of Applied Statistics
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    • v.23 no.1
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    • pp.197-206
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    • 2010
  • In this paper, we propose boosting algorithms when data are very large or coming in batches sequentially over time. In this situation, ordinary boosting algorithm may be inappropriate because it requires the availability of all of the training set at once. To apply to large scale data or data batch stream, we modify the AdaBoost and Arc-x4. These algorithms have good results for both large scale data and data batch stream with or without concept drift on simulated data and real data sets.

A Study on Realtime Intrusion Detection System (실시간 침입탐지 시스템에 관한 연구)

  • Kim, Byoung-Joo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.1
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    • pp.40-44
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    • 2005
  • Applying artificial intelligence, machine learning and data mining techniques to intrusion detection system are increasing. But most of researches are focused on improving the performance of classifier. These classifiers are performed by batch way and it is not proper method for realtime intrusion detection system. We propose an incremental feature extraction and classification technique for realtime intrusion detection system. Applying proposed system to KDD CUP 99 data, experimental result shows that it has similar capability compared to batch way intrusion detection system.

Modeling and simulation of a batch reactor for bulk copolymerization of styrene and acrylonitirle (Styren과 acrylonitrile의 과상 공중합을 위한 회분식 반응기의 모델링 및 모사)

  • 유기윤;황우현;백종은;이현구
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.207-212
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    • 1994
  • A mathematical model is developed for a batch reactor in which the free radical bulk copolymerization of styrene and acrylonitrile takes place. In this model, we introduce the free volume theory to quantify the diffusion controlled termination and propagation reactions, and develop a model for the chain length dependent termination reaction in the context of the pseudo kinetic rate constant method(PKRCM). The simulation results from this model are found to be in good agreement with experimental data under different copolymerization conditions. The present model can predict both the copolymer composition and the number and weight average molecular weights. These kinetic approaches provide greater insight into the performance of the batch reactor used for the free radical bulk copolymerization of styrene and acrylonitirle.

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Production of Itaconic Acid at Various Bioreactors (다양한 생물반응기에서 이타콘산의 생산)

  • 박승원;김승옥;이진석
    • Microbiology and Biotechnology Letters
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    • v.22 no.3
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    • pp.304-308
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    • 1994
  • A suitable culture method and bioreactor type for itaconic acid production were chosen by comparing the maximal concentration of itaconic acid produced in various systems. In batch culture, the maximal concentration of itaconic acid produced in a bubble column reactor was about 5% greater than that produced in stirred-tank or external-loop airlift reactor. These results were thought to be due to lower shear force and higher mass transfer efficiency in a bubble column reactor in comparison with other reactors. Moreover, the fed-batch mode in a bubble column was found to be a suitable one, producing about 25% higher concentration of itaconic acid compared to batch mode.

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Bake hardenability of batch annealed steel sheets with prestrain (일괄 풀림처리된 강판의 예비 변형정도에 따른 소열경화 특성)

  • Huh, Hoon;Whang, P. S.
    • Journal of the korean Society of Automotive Engineers
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    • v.12 no.1
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    • pp.40-48
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    • 1990
  • Bake hardenability of batch annealed steel sheets is investigated in connection with the amount of tensile deformation and the bake hardening condition. This study associates with the method for producing bake hardening materials by means of batch annealing process and for measuring bake hardenability which is not yet fully established. The experimental result demonstrates the relationship between strain distribution and bake hardening behavior in various bake hardening conditions, which provides an essential information for automobile design and related sheet metal forming in a press shop. The result also shows the bake hardenability of the tested material increases as the baking temperature is increased from 150.deg. C. The result assures the bake hardening materials can guarantee reasonably high strength as well as good uniformity in yield strength for the automobile body by sheet metal forming process.

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A New Design Procedure for the Evaluation of Rod Bow DNBR Penalty

  • Paik, Hyun-Jong;Yang, Seung-Geun
    • Nuclear Engineering and Technology
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    • v.28 no.3
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    • pp.331-338
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    • 1996
  • In the thermal-hydraulic design, the effect of fuel rod bow is quantified tv the rod bow DNBR penalty which is a key design parameter to assure the coolability of fuel assembly in the pressurized water reactor. In this work, a computer program for the evaluation of the rod bow DNBR penalty based on Westinghouse methodology is developed and its application procedure is proposed. The computer simulation is based on the Monte-Carlo method. The qualification of developed computer program is performed by a comparison of calculational result with that given by Westinghouse's document. A new application procedure is built using batch mean and batch standard deviation. The normality of sample population generated by the batch calculation is confirmed by means of a chi-square test for goodness of fit. On the view point of statistics it is effected that the more reliable design value may be produced by the new application procedure.

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TiO2 Removal using Electrocoagulation-electroflotation Two-step Process (전기응집-전기부상 2단계 공정을 이용한 TiO2 제거)

  • Dong-Seog Kim;Young-Seek Park
    • Journal of Environmental Science International
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    • v.32 no.5
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    • pp.385-394
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    • 2023
  • There is a need for a method that can effectively remove wastewater containing small-sized particles such as TiO2. In this study, we attempted to remove TiO2 wastewater using electrocoagulation-electroflotation two-step separation. The TiO2 wastewater was effectively removed via batch electrocoagulation-electroflotation separation. However, in the batch process, the simultaneous operation of electrocoagulation and electoflotation was challenging due to the high residual turbidity. In the continuous operation, electrocoagulation and electoflotation reactors were kept separate. The turbidity removal in continuous operation was similar to that in the batch process, nevertheless, the residual Al concentration was high, leading to the conclusion that counterterm ensures against residual Al were necessary.

Data-Driven Batch Processing for Parameter Calibration of a Sensor System (센서 시스템의 매개변수 교정을 위한 데이터 기반 일괄 처리 방법)

  • Kyuman Lee
    • Journal of Sensor Science and Technology
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    • v.32 no.6
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    • pp.475-480
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    • 2023
  • When modeling a sensor system mathematically, we assume that the sensor noise is Gaussian and white to simplify the model. If this assumption fails, the performance of the sensor model-based controller or estimator degrades due to incorrect modeling. In practice, non-Gaussian or non-white noise sources often arise in many digital sensor systems. Additionally, the noise parameters of the sensor model are not known in advance without additional noise statistical information. Moreover, disturbances or high nonlinearities often cause unknown sensor modeling errors. To estimate the uncertain noise and model parameters of a sensor system, this paper proposes an iterative batch calibration method using data-driven machine learning. Our simulation results validate the calibration performance of the proposed approach.

Treatment of High Concentration Organic Wastewater with a Sequencing Batch Reactor (SBR) Process Combined with Electro-flotation as a Solids-liquid Separation Method

  • Choi, Younggyun;Park, Minjeong;Park, Mincheol;Kim, Sunghong
    • Environmental Engineering Research
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    • v.19 no.4
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    • pp.395-399
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    • 2014
  • Operation characteristics of the sequencing batch reactor (SBR) process with electro-flotation (EF) as a solid liquid separation method (EF-SBR) were investigated. EF-SBR process showed excellent solid-liquid separation performance which enabled to separate biosolids from liquid phase within 30 min and to extend cyclic reaction time. Although influent organic loading rate was increased stepwise from 5 to 15 g COD/day, food to microorganisms (F/M) ratio could be maintained about 0.3 g COD/g VSS/day in EF-SBR because biomass concentration could be easily controlled at desired level by EF. However, it was impossible to increase biomass concentration at the same level in control SBR (C-SBR) process because solid-liquid separation by gravity settling showed a limitation at higher mixed liquor suspended solids (MLSS) concentration with 60 min of settling time. Total chemical oxygen demand (TCOD) removal efficiency of EF-SBR process was not decreased although influent organic loading rate became 3 times higher than initial value. However, it was seriously deteriorated in C-SBR process after increasing the rate over 10 g COD/day, which was accounted for insufficient organic removal by relatively higher food to microorganisms (F/M) ratio as well as biosolids wash-out by a limitation of gravity sedimentation.