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Journal articles on the topic 'Batch and sequential identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Dai, Bo, Chongshi Gu, Erfeng Zhao, Kai Zhu, Wenhan Cao, and Xiangnan Qin. "Improved online sequential extreme learning machine for identifying crack behavior in concrete dam." Advances in Structural Engineering 22, no. 2 (2018): 402–12. http://dx.doi.org/10.1177/1369433218788635.

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Prediction models are essential in dam crack behavior identification. Prototype monitoring data arrive sequentially in dam safety monitoring. Given such characteristic, sequential learning algorithms are preferred over batch learning algorithms as they do not require retraining whenever new data are received. A new methodology using the genetic optimized online sequential extreme learning machine and bootstrap confidence intervals is proposed as a practical tool for identifying concrete dam crack behavior. First, online sequential extreme learning machine is adopted to build an online predicti

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2

Elhami, M. R., and D. J. Brookfield. "Identification of Coulomb and Viscous Friction in Robot Drives: An Experimental Comparison of Methods." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 210, no. 6 (1996): 529–40. http://dx.doi.org/10.1243/pime_proc_1996_210_228_02.

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This paper presents an experimental comparison of five methods of identifying friction in robot drives. The methods considered are direct plotting of velocity versus armature voltage, plotting velocity versus armature current, third harmonic estimation, batch least squares and sequential least squares. These methods were implemented on a d.c. servo motor robot drive system to identify Coulomb and viscous friction parameters. It is shown that an asymmetric Coulomb and viscous model properly identifies the frictional torque due to the combined sliding and rolling friction in the motor. Furthermo

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3

El-Rabbany, Ahmed, and Mohamed El-Diasty. "A New Approach to Sequential Tidal Prediction." Journal of Navigation 56, no. 2 (2003): 305–14. http://dx.doi.org/10.1017/s0373463303002285.

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Accurate tide prediction is required for safe marine navigation in shallow waters as well as for other marine operations. Traditionally, tide prediction was carried out using the harmonic method, which is based on the identification of the harmonic tidal constituents existing in the tidal record. Unfortunately, however, unless long tidal records are available at the tide gauges, some important tidal constituents may not be identified. This, in turn, deteriorates the accuracy of the tidal prediction. More recently, a sequential least-squares prediction method capable of using relatively short t

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4

Lee, S. H., J. H. Ko, J. R. Kim, et al. "Identification of the adverse effect of nitrate on the phosphate release rate and improvement of EBPR process models." Water Science and Technology 53, no. 4-5 (2006): 115–23. http://dx.doi.org/10.2166/wst.2006.116.

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The adverse effect of nitrate on the phosphate release rate in the anaerobic phase was observed and was hardly explainable with conventional EBPR process models. Four possible mechanisms were proposed including substrate competition, reduced fermentation, parallel reaction and sequential reaction. Batch experiments were designed and conducted to identify the dominant mechanism. Results showed that the sequential reaction was the only possible mechanism where only denitrification occurred if any nitrate existed in the anaerobic phase. Then the phosphate release following after the nitrate was c

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5

Zhang, Shumei, Chunhui Zhao, and Furong Gao. "Two-directional concurrent strategy of mode identification and sequential phase division for multimode and multiphase batch process monitoring with uneven lengths." Chemical Engineering Science 178 (March 2018): 104–17. http://dx.doi.org/10.1016/j.ces.2017.12.025.

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6

Yu, Hong, Alex Pyankov, and Marcus Perla. "A Developed Sensor for Color Identification, Sorting and Counting Automation Control System." European Journal of Engineering and Technology Research 6, no. 2 (2021): 75–80. http://dx.doi.org/10.24018/ejers.2021.6.2.2363.

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Knowing how to manipulate the data from environment to automation control systems in industry can innovate and improve a quality of the products effectively. In plastic manufacturing, there is a need of automated control system that can recognize color and sort, count and sequentially control processing since the certain quantity of color billets mix into a batch in order to produce desired colorful products. In this paper, a color recognition sensor based on the principle of LEDs energy harvest corresponding actuator has been designed. The derivational voltage due to red, green and blue color

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7

Crocetti, Gregory R., Philip Hugenholtz, Philip L. Bond, et al. "Identification of Polyphosphate-Accumulating Organisms and Design of 16S rRNA-Directed Probes for Their Detection and Quantitation." Applied and Environmental Microbiology 66, no. 3 (2000): 1175–82. http://dx.doi.org/10.1128/aem.66.3.1175-1182.2000.

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ABSTRACT Laboratory-scale sequencing batch reactors (SBRs) as models for activated sludge processes were used to study enhanced biological phosphorus removal (EBPR) from wastewater. Enrichment for polyphosphate-accumulating organisms (PAOs) was achieved essentially by increasing the phosphorus concentration in the influent to the SBRs. Fluorescence in situ hybridization (FISH) using domain-, division-, and subdivision-level probes was used to assess the proportions of microorganisms in the sludges. The A sludge, a high-performance P-removing sludge containing 15.1% P in the biomass, was compri

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8

Seid-mohammadi, Abdolmotaleb, Fatemeh Nouri, and Fateme Asadi. "Factors affecting aerobic granule sludge formation in leachate treatment – a systematic review." Reviews on Environmental Health 35, no. 4 (2020): 481–92. http://dx.doi.org/10.1515/reveh-2020-0019.

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AbstractThe biological treatment of landfill leachate due to high concentration of Chemical Oxygen Demand (COD), ammonia, and other toxic compounds is so difficult. One of the leachate treatment technology is the sludge biogranulation, that containing the two aerobic and anaerobic process. The aim of this study was conducted for determining the main factors affecting aerobic granule sludge formation in leachate treatment. In this study, all related papers in international databases were evaluated including Google Scholar, Science Direct, and PubMed, Also Open Access Journal Directory from 1990

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9

Viallon, Vivian, Mathilde His, Sabina Rinaldi, et al. "A New Pipeline for the Normalization and Pooling of Metabolomics Data." Metabolites 11, no. 9 (2021): 631. http://dx.doi.org/10.3390/metabo11090631.

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Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool meta

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10

Becker, René, Katharina Weber, Tobias V. Pfeiffer, Jan van Kranendonk, and Klaas Jan Schouten. "A Scalable High-Throughput Deposition and Screening Setup Relevant to Industrial Electrocatalysis." Catalysts 10, no. 10 (2020): 1165. http://dx.doi.org/10.3390/catal10101165.

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The identification and optimization of electrode materials is of great importance in the study of (flow and solid state) batteries, industrial electrocatalysis and analytical devices such as sensors. To identify useful materials from a virtually unbound set of metals, alloys and semiconductors, high-throughput techniques are of vital importance. In this paper we present a high-throughput setup that consists of 64 parallel plate electrochemical flow cells, with the anode and cathode compartments separated by a membrane. These cells can be operated sequentially or batch-wise in parallel, using a

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11

Greenshtein, Eitan. "Sequential batch sampling." Sequential Analysis 10, no. 3 (1991): 149–59. http://dx.doi.org/10.1080/07474949108836232.

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12

Hediger, T., and J. E. Prenosil. "Microprocessor Automated Sequential Batch Process." Biotechnology Progress 1, no. 4 (1985): 216–25. http://dx.doi.org/10.1002/btpr.5420010405.

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13

Loeppky, Jason L., Leslie M. Moore, and Brian J. Williams. "Batch sequential designs for computer experiments." Journal of Statistical Planning and Inference 140, no. 6 (2010): 1452–64. http://dx.doi.org/10.1016/j.jspi.2009.12.004.

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14

Hutter, Marcus. "Tractability of batch to sequential conversion." Theoretical Computer Science 733 (July 2018): 71–82. http://dx.doi.org/10.1016/j.tcs.2018.04.037.

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15

Parthasarathy, S. "AUTO_SAFE: An expert controller for sequential and batch sequential processes." Engineering Applications of Artificial Intelligence 1, no. 4 (1988): 250–57. http://dx.doi.org/10.1016/0952-1976(88)90043-7.

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16

., Rajkumar V. Raikar. "DEGRADATION OF PHENOL USING SEQUENTIAL BATCH REACTOR." International Journal of Research in Engineering and Technology 04, no. 04 (2015): 542–46. http://dx.doi.org/10.15623/ijret.2015.0404093.

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17

Jamkar, R. G., R. H. Chile, and Y. S. Angal. "PLC based Sequential Batch Process Control System." IETE Technical Review 23, no. 3 (2006): 163–71. http://dx.doi.org/10.1080/02564602.2006.11657942.

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18

dos Santos, Silvânia Lucas, and Adrianus van Haandel. "Nutrient Removal in Sequential Batch Polishing Ponds." Water 13, no. 11 (2021): 1584. http://dx.doi.org/10.3390/w13111584.

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One of the main problems of waste stabilization ponds (WSP) is that they cannot remove nutrients when treating wastewater. Polishing ponds (PP) can efficiently remove nitrogen and phosphorus from effluents after efficient anaerobic pretreatment. It shown that the feasibility of nutrient removal is directly related to the pH that is established in the ponds. WSP normally operate at near neutral pH, but the biological processes that develop in PP tend to cause an elevation of pH and this, in turn, triggers the mechanisms of nutrient removal in ponds. In PP oxygen production by photosynthesis pre

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19

Radziszewski, P. "Fundamental batch mill model identification." Minerals Engineering 12, no. 7 (1999): 809–26. http://dx.doi.org/10.1016/s0892-6875(99)00066-7.

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20

DEHKORDI, MASSOUD HADIAN, and REZA ALIMORADI. "A NEW BATCH IDENTIFICATION SCHEME." Discrete Mathematics, Algorithms and Applications 01, no. 03 (2009): 369–76. http://dx.doi.org/10.1142/s1793830909000294.

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Identification protocols have a very important role in the world of electronic communication. In an identification protocol, the prover (user) proves to the verifier (center) that it is truly the authorized user who is communicating with the center. In one round of batch identification scheme a user with several secret keys (identities) can prove itself to the verifier instead of several proofs. In this paper, the first Weil pairing will be introduced. In addition, we propose a new batch zero-knowledge identification scheme based on the Weil pairing hereafter considered the security analysis o

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21

KOWALIK, ROBERT, JAROSŁAW GAWDZIK, ALICJA GAWDZIK, and BARBARA GAWDZIK. "INNOVATIVE SEQUENTIAL BATCH REACTOR SOLUTIONS FOR WASTEWATER TREATMENT." Structure and Environment 11, no. 2 (2019): 141–52. http://dx.doi.org/10.30540/sae-2019-011.

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22

Preuss, Roland, and Udo von Toussaint. "Sequential Batch Design for Gaussian Processes Employing Marginalization †." Entropy 19, no. 2 (2017): 84. http://dx.doi.org/10.3390/e19020084.

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23

CHENG, T. C. E., and M. Y. KOVALYOV. "Single machine batch scheduling with sequential job processing." IIE Transactions 33, no. 5 (2001): 413–20. http://dx.doi.org/10.1080/07408170108936839.

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24

Ao, Tang, Xiao Dong, and Mao Zhizhong. "Batch-to-Batch Iterative Learning Control of a Batch Polymerization Process Based on Online Sequential Extreme Learning Machine." Industrial & Engineering Chemistry Research 48, no. 24 (2009): 11108–14. http://dx.doi.org/10.1021/ie9007979.

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25

Halim, Iskandar, and Rajagopalan Srinivasan. "Sequential Methodology for Scheduling of Heat-Integrated Batch Plants." Industrial & Engineering Chemistry Research 48, no. 18 (2009): 8551–65. http://dx.doi.org/10.1021/ie900367j.

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26

Surampalli, R. "Nitrification, denitrification and phosphorus removal in sequential batch reactors." Bioresource Technology 61, no. 2 (1997): 151–57. http://dx.doi.org/10.1016/s0960-8524(97)00034-5.

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27

BAYINDIRLI, A., F. YILDIZ, and M. ÖZILGEN. "Modeling of Sequential Batch Ultrafiltration of Red Beet Extract." Journal of Food Science 53, no. 5 (1988): 1418–21. http://dx.doi.org/10.1111/j.1365-2621.1988.tb09290.x.

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28

Daldal, Rebi, Iftah Gamzu, Danny Segev, and Tonguç Ünlüyurt. "Approximation algorithms for sequential batch-testing of series systems." Naval Research Logistics (NRL) 63, no. 4 (2016): 275–86. http://dx.doi.org/10.1002/nav.21693.

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29

Kim, Heeyoung, Justin T. Vastola, Sungil Kim, Jye-Chyi Lu, and Martha A. Grover. "Batch Sequential Minimum Energy Design with Design-Region Adaptation." Journal of Quality Technology 49, no. 1 (2017): 11–26. http://dx.doi.org/10.1080/00224065.2017.11918182.

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30

Sugiyama, Hiro, Yasuhiro Umehara, and Ernest Smith. "A sequential function chart (SFC) language for batch control." ISA Transactions 29, no. 2 (1990): 63–69. http://dx.doi.org/10.1016/0019-0578(90)90064-r.

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31

Sharma, Vipul, Vimal Chandra Srivastava, Jai Prakash Kushwaha, and Indra Deo Mall. "Studies on biodegradation of resorcinol in sequential batch reactor." International Biodeterioration & Biodegradation 64, no. 8 (2010): 764–68. http://dx.doi.org/10.1016/j.ibiod.2010.08.009.

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32

Livk, I., M. Gregorka, and C. Porar. "Model identification of batch crystallization processes." Computers & Chemical Engineering 19 (June 1995): 241–46. http://dx.doi.org/10.1016/0098-1354(95)87043-1.

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33

Ron, Emanuel Y. C., Roya R. R. Sardari, Richard Anthony, Ed W. J. van Niel, Gudmundur O. Hreggvidsson, and Eva Nordberg-Karlsson. "Cultivation technology development of Rhodothermus marinus DSM 16675." Extremophiles 23, no. 6 (2019): 735–45. http://dx.doi.org/10.1007/s00792-019-01129-0.

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Abstract This work presents an evaluation of batch, fed-batch, and sequential batch cultivation techniques for production of R. marinus DSM 16675 and its exopolysaccharides (EPSs) and carotenoids in a bioreactor, using lysogeny broth (LB) and marine broth (MB), respectively, in both cases supplemented with 10 g/L maltose. Batch cultivation using LB supplemented with maltose (LBmalt) resulted in higher cell density (OD620 = 6.6) than use of MBmalt (OD620 = 1.7). Sequential batch cultivation increased the cell density threefold (OD620 = 20) in LBmalt and eightfold (OD620 = 14) in MBmalt. In both

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34

Larsson, Roger, and Martin Enqvist. "Sequential Aerodynamic Model Parameter Identification." IFAC Proceedings Volumes 45, no. 16 (2012): 1413–18. http://dx.doi.org/10.3182/20120711-3-be-2027.00293.

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35

Malairuang, Kwanruthai, Morakot Krajang, Rapeepong Rotsattarat, and Saethawat Chamsart. "Intensive Multiple Sequential Batch Simultaneous Saccharification and Cultivation of Kluyveromyces marxianus SS106 Thermotolerant Yeast Strain for Single-Step Ethanol Fermentation from Raw Cassava Starch." Processes 8, no. 8 (2020): 898. http://dx.doi.org/10.3390/pr8080898.

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We developed the intensive multiple sequential batch simultaneous saccharification and cultivation of the selected thermotolerant yeast strain for single-step ethanol production. The selection and high-cell-density inoculum production of thermotolerant yeast able to produce ethanol under the optimal conditions for single-step ethanol fermentation has become a necessity. In this study, the newly isolated Kluyveromyces marxianus SS106 could tolerate high temperatures (35–45 °C) and grow under a wide range of pH values (3.0–5.5), which are the optimum conditions of raw cassava starch hydrolyzing

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36

Rekab, Kamel. "Asymptotic optimality of sequential designs for estimation." International Journal of Mathematics and Mathematical Sciences 18, no. 1 (1995): 147–50. http://dx.doi.org/10.1155/s0161171295000196.

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This paper is concerned with the problem of allocating a fixed number of trials betweenKindependent populations from the exponential family, in order to estimate a linear combination of the means with squared error loss. Introducing independent conjugate priors, a batch sequential procedure is proposed and compared with the optimal.

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37

Jakubaszek, Anita, and Artur Stadnik. "Efficiency of Sewage Treatment Plants in the Sequential Batch Reactor." Civil and Environmental Engineering Reports 28, no. 3 (2018): 121–31. http://dx.doi.org/10.2478/ceer-2018-0040.

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Abstract The article analyzes the effectiveness of individual Actibloc wastewater treatment plants (produced by Sotralentz) working in the technology of low-rate activated sludge in the Sequential Batch Reactor (SBR) system. The assessment of the effectiveness of household wastewater treatment plants was made on the basis of pollutants: BOD5, COD, total suspended solids, total nitrogen and total phosphorus. The research objects were four household sewage treatment plants located in: Lubań, Kłębanowice, Stara Rzeka and Kościan. The efficiency of removing pollutants in the examined facilities wa

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38

Zanardi, Maria Celília, and Malcolm D. Shuster. "Batch, Sequential and Hybrid Approaches to Spacecraft Sensor Alignment Estimation." Journal of the Astronautical Sciences 51, no. 3 (2003): 279–90. http://dx.doi.org/10.1007/bf03546298.

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39

Demetrashvili, Nino, Ken Kron, Vaijayanti Pethe, Bharati Bapat, and Laurent Briollais. "How to Deal with Batch Effect in Sequential Microarray Experiments?" Molecular Informatics 29, no. 5 (2010): 387–93. http://dx.doi.org/10.1002/minf.200900019.

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40

Cai, C., F. Xu, J. Liu, N. Zhu, and W. Cai. "Cultivation of Aerobic Granules in A Sequential Batch Shaking Reactor." Environmental Technology 25, no. 8 (2004): 937–44. http://dx.doi.org/10.1080/09593330.2004.9619387.

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41

Thakur, Chandrakant, Vimal C. Srivastava, and Indra D. Mall. "Aerobic degradation of petroleum refinery wastewater in sequential batch reactor." Journal of Environmental Science and Health, Part A 49, no. 12 (2014): 1436–44. http://dx.doi.org/10.1080/10934529.2014.928557.

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42

Medina-Moreno, S. A., S. Huerta-Ochoa, and M. Gutiérrez-Rojas. "Hydrocarbon biodegradation in oxygen-limited sequential batch reactors by consortium from weathered, oil-contaminated soil." Canadian Journal of Microbiology 51, no. 3 (2005): 231–39. http://dx.doi.org/10.1139/w04-130.

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We studied the use of sequential batch reactors under oxygen limitation to improve and maintain consortium ability to biodegrade hydrocarbons. Air-agitated tubular reactors (2.5 L) were operated for 20 sequential 21-day cycles. Maya crude oil – paraffin mixture (13 000 mg/L) was used as the sole carbon source. The reactors were inoculated with a consortium from the rhizosphere of Cyperus laxus, a native plant that grows naturally in weathered, contaminated soil. Oxygen limitation was induced in the tubular reactor by maintaining low oxygen transfer coefficients (kLa < 20.6 h–1). The extent

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43

Ma, David L., and Richard D. Braatz. "Robust identification and control of batch processes." Computers & Chemical Engineering 27, no. 8-9 (2003): 1175–84. http://dx.doi.org/10.1016/s0098-1354(03)00045-0.

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44

Carlos Gómez, Juan, and Marta Basualdo. "Nonlinear Identification of Multicomponent Batch Distillation Processes." IFAC Proceedings Volumes 33, no. 10 (2000): 953–58. http://dx.doi.org/10.1016/s1474-6670(17)38663-9.

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45

ZHANG, Yuliang, Beike ZHANG, Xin MA, Liulin CAO, and Chongguang WU. "Consequence Identification for Maloperation in Batch Process." Chinese Journal of Chemical Engineering 21, no. 12 (2013): 1347–59. http://dx.doi.org/10.1016/s1004-9541(13)60620-5.

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46

Yao, Yuan, Chunhui Zhao, and Furong Gao. "Batch-to-Batch Steady State Identification Based on Variable Correlation and Mahalanobis Distance." Industrial & Engineering Chemistry Research 48, no. 24 (2009): 11060–70. http://dx.doi.org/10.1021/ie901107h.

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47

Dishisha, Tarek, Mohammad H. A. Ibrahim, Victor Hugo Cavero, Maria Teresa Alvarez, and Rajni Hatti-Kaul. "Improved propionic acid production from glycerol: Combining cyclic batch- and sequential batch fermentations with optimal nutrient composition." Bioresource Technology 176 (January 2015): 80–87. http://dx.doi.org/10.1016/j.biortech.2014.11.013.

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48

Rossi, Francesco, Flavio Manenti, Guido Buzzi-Ferraris, and Gintaras Reklaitis. "Stochastic NMPC/DRTO of batch operations: Batch-to-batch dynamic identification of the optimal description of model uncertainty." Computers & Chemical Engineering 122 (March 2019): 395–414. http://dx.doi.org/10.1016/j.compchemeng.2018.08.014.

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49

Beh, Jounghoon. "Sequential Estimation of Relative Transfer Function in Application of Acoustic Beamforming." Information 11, no. 11 (2020): 505. http://dx.doi.org/10.3390/info11110505.

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In this paper, a sequential approach is proposed to estimate the relative transfer functions (RTF) used in developing a generalized sidelobe canceller (GSC). The latency in calibrating microphone arrays for GSC, often suffered by conventional approaches involving batch operations, is significantly reduced in the proposed sequential method. This is accomplished by an immediate generation of the RTF from initial input segments and subsequent updates of the RTF as the input stream continues. From the experimental results via the mean square error (MSE) criterion, it has been shown that the propos

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50

Peters, G., B. Cleveland, J. Higgins, F. Butler, and C. Meghen. "A Genetic Method To Evaluate the Prevalence of Unique DNA Profiles between Sequential Ground Beef Batches." Journal of Food Protection 80, no. 3 (2017): 425–30. http://dx.doi.org/10.4315/0362-028x.jfp-16-221.

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ABSTRACT The delineation of ground beef batches has implications for the management of product disposition policies in the event of Shiga toxin–producing Escherichia coli contamination. Analysis of individual contributor animal-specific DNA profiles can provide valuable empirical data for understanding the dynamics of ground meat production processes and can act as a surrogate for cross-contamination. A genetic method was developed for characterizing the source raw material flow and carryover between discrete batches of ground beef in a large-scale commercial beef grinding operation. The appli

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