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Modeling, simulation and design of a portable wastewater treatment plant: A new mechanistic dependent sedimentation model and computational algorithm

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CHEMICAL ENGINEERING RESEARCH & DESIGN 2025年 214卷 427-440页

作者： Ovuoraye, Prosper Eguono Okewale, Akindele Oyetunde Abowei, Millionaire F. N. Fed Univ Petr Resources Dept Chem Engn PMB 1221 Effurun Delta State Nigeria Rivers State Univ Dept Chem & Petrochem Engn Port Harcourt Rivers State Nigeria

The integration of various industrial wastewater treatment processes into a compact and efficient system aimed at reducing space and operational costs is economical for environmental stakeholders in this domain. This research focuses on the development of a kinetic-dependent sedimentation model and a simulation framework to enhance the efficiency of treating industrial wastewater in compact systems. The study used experimentally determined operating conditions, wastewater characteristics, and sludge concentration as parameters to study reaction rates and hydrodynamics for optimizing the dimensions of the treatment plant. The impact of varying reaction conversion on the performance indicators of the flocculation mix tank and clarifier basin was investigated at varying detention periods of 1.5-3 h, temperatures of 20-30 degrees C. The results showed that mechanistic and water parameters have a significant effect on the sludge hydrodynamics of the sedimentation model. The optimization statistics established a high correlation between reaction conversions, mixing power dissipation, and functional dimensions (radii and depths inclusive) of the flocculation mix tank and clarifier basin to 0.9490 < R-2 >= 0.9630 at a 95 % confidence interval. An increase in the reaction conversion (X-A < 0.9) was significant on the performance of the flocculation mix tank and clarifier basin to guarantee biodegradation of organics, colour removal, and the total solids to settle with 90 % efficiency in concentric circular tanks. The optimized design geometry satisfied the design criterion: surface overflow rate < settling velocity, clarifier radius > radius of the flocculation mix tank to allow coagulation-flocculation aided sedimentation treatment to satisfy effluent discharge.

关键词： Sedimentation model computational algorithm Coagulation-flocculation mechanistic Industrial wastewater, Type-II clariflocculator design

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computational algorithm to Solve Two-Body Problem Using Power Series in Geocentric System

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APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2022年第2期8卷 39-46页

作者： Alhowaity, Sawsan Shaqra Univ Coll Sci & Humanities Dept Math Shaqra Saudi Arabia

In this paper, a universal computational algorithm is constructed by using $F$ and $G$ series, which can be applied for any of conic orbit. In particular, to find the solution of the two-body problem. In this context, the solution of geocentric system motion of the Mercury planet in the solar system is found using the obtained computational algorithm.

关键词： Two-problem F and G series computational algorithm

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A computational algorithm for Calculating Fracture Index of Core Runs

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ROCK MECHANICS AND ROCK ENGINEERING 2023年第9期56卷 6905-6918页

作者： Wong, Louis Ngai Yuen Liu, Zihan Tse, Keith Ki Chun Cheung, Sai Hung Yu, Lequan Univ Hong Kong Dept Earth Sci Hong Kong Peoples R China Univ Hong Kong Dept Civil Engn Hong Kong Peoples R China Univ Hong Kong Dept Stat & Actuarial Sci Hong Kong Peoples R China

Fracture Index (FI), which represents the count of fractures over an arbitrary length of core with similar intensity of fracturing, provides insight into the fracture state of rock masses. Manual interpretation of core is not only time-consuming but also prone to human error. To address these challenges, this study develops a computational algorithm that automatically calculates the FI of core runs based on fracture spacing data. The variance of fracture spacing values is selected as the key evaluating indicator. The algorithm automatically groups fractures appearing in core imagery based on uniformity of fracture spacing. Upon counting the number of fractures in each group over a certain length of core run obtained from the optimal grouping scheme, the algorithm outputs the FIs automatically. The algorithm's performance has been effectively demonstrated on synthetic data and three real-life core datasets. algorithm results show good agreement with those produced by logging geologists and listed in standard human-generated reports. The occasional discrepancies are attributed to the inherent subjective nature associated with the manual logging.

关键词： computational algorithm Fracture Index Joint spacing Core run

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computational algorithm for solving fredholm time-fractional partial integrodifferential equations of dirichlet functions type with error estimates

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APPLIED MATHEMATICS AND COMPUTATION 2019年 342卷 280-294页

作者： Al-Smadi, Mohammed Abu Arqub, Omar Al Balqa Appl Univ Ajloun Coll Dept Appl Sci Ajloun 26816 Jordan Univ Jordan Dept Math Fac Sci Amman 11942 Jordan

Numerical modeling of partial integrodifferential equations of fractional order shows interesting properties in various aspects of science, which means increased attention to fractional calculus. This paper is concerned with a feasible and accurate technique for obtaining numerical solutions for a class of partial integrodifferential equations of fractional order in Hilbert space within appropriate kernel functions. The algorithm relies on the reproducing kernel Hilbert space method that provides the solutions in rapidly convergent series representations for the reproducing kernel based upon the Fourier coefficients of orthogonalization process. The Caputo fractional derivatives are introduced to address these issues. Moreover, the error estimate of the generated solutions is established as well as the convergence of the iterative method is investigated under some theoretical assumptions. The superiority and applicability of the present technique is illustrated by handling linear and nonlinear numerical examples. The outcomes obtained are compared with exact solutions and existing methods to confirm the effectiveness of the reproducing kernel method. (c) 2018 Elsevier Inc. All rights reserved.

关键词： computational algorithm Fractional calculus theory Partial integrodifferential equation Fredholm operator Caputo fractional derivative

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Nonlinear dynamic analysis of two external excitations for the gear system using an original computational algorithm

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2020年 144卷

作者： Liu, Fuhao Zhang, Liang Jiang, Hanjun Zhang, Jielu Qingdao Univ Technol Sch Mech & Automot Engn Qingdao 266520 Peoples R China Yancheng Inst Technol Coll Automobile Engn Jiangshu 224051 Peoples R China Jiangsu Tailong Decelerator Machinery Co Ltd Taixing 225400 Jiangsu Peoples R China

In this work, a dynamic gear model has been developed by incorporating both the driving speed and the drag torque as external excitation sources. An original computational algorithm, with adaptive selection of the time-step method (for guaranteeing precision) and smarter time-step reduced method (for increasing efficiency), is proposed by defining a very small transition area between lubricant and solid contact. This algorithm can overcome the limitations of known prior research work and make sure an accurate determination of the time and position for lubricant/solid contact. Numerical results are presented to illustrate and quantify the influence of the external excitations, as well as the numerical advantages of the original computational algorithm in comparison with various Matlab solvers. The results presented in this study provide an understanding of the external excitations under which undesirable dynamic motion takes place and therefore serve as a useful source of reference for engineers in controlling such gear systems. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Gear system computational algorithm External excitations Nonlinear vibration

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Simulation of vibro-impact gear model considering the lubricant influence with a new computational algorithm

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JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING 2018年第3期40卷 1-14页

作者： Liu, Fuhao Zhang, Liang Jiang, Hanjun Yu, Xuehua Yancheng Inst Technol Coll Automobile Engn Yancheng 224051 Jiangsu Peoples R China Shanghai Jiao Tong Univ Dept Engn Mech Shanghai 200240 Peoples R China

In this paper, a vibro-impact gear model incorporating the influences of the lubricant and backlash is formulated. Then, a new computational algorithm validated in comparison with the "stiff'' solvers, by defining a transition area and adopting the double-changed time step, is proposed to identify the influences of the lubricant on the dynamic system. The results obtained in this paper indicate that the proposed numerical algorithm not only guarantees the precision of solutions, but also reduces the calculation speed of the whole system. The lubricant can potentially reduce the vibrations in the gear system, and the boundaries for double-sided impacts, single-sided impact and no impact are mainly dependent on the fluctuating driving torque and the stiffness of the lubricant. These results could provide a good source of information on the utilization of vibro-impact modeling and simulation for the study of spur gears dynamic performance, and quantification of the factors such as gear backlash, input power or torque fluctuations, lubrication, rattle, etc. In addition, the proposed numerical method could be used as a basic program of vibro-impact in Matlab environment.

关键词： Gear system computational algorithm Nonlinear vibration Gear backlash

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A computational algorithm for personalized medicine in schizophrenia

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SCHIZOPHRENIA RESEARCH 2018年 192卷 131-136页

作者： Lee, Beom S. McIntyre, Roger S. Gentle, James E. Park, Nan Sook Chiriboga, David A. Lee, Yena Singh, Sabrina McPherson, Marie A. Univ S Florida Louis Parte Florida Mental Hlth Inst Dept Mental Hlth Law & Policy Tampa FL 33612 USA Univ Toronto Dept Psychiat Toronto ON M5T 1R8 Canada George Mason Univ Dept Computat & Data Sci Fairfax VA 22030 USA Univ S Florida Sch Social Work Tampa FL 33612 USA Univ S Florida Louis Parte Florida Mental Hlth Inst Dept Child & Family Studies Tampa FL 33612 USA Univ Hlth Network Mood Disorders Psychopharmacol Unit Toronto ON M5T 2S8 Canada

Despite advances in sequencing candidate genes and whole genomes, no method has accurately predicted who will or will not benefit from a specific antipsychotic medication among patients with schizophrenia. We propose a computational algorithm that utilizes a person-centered approach that directly identifies individual patients who will respond to a specific antipsychotic medication. The algorithm was applied to the data obtained from the Clinical Anti psychotic Trials of Intervention Effectiveness (CATIE) study. The predictors were either (1) 13 single-nucleotide polymorphisms (SNPs) and 53 baseline variables or (2) 25 SNPs and the same 53 baseline variables, depending on the existing findings and data availability. The outcome variables were either (1) improvement in the Positive and Negative Syndrome Scale (PANSS) (Yes/No) or (2) completion of phase 1/1A (Yes/No). Each of those four predictor-outcome combinations was tried for each of the five antipsychotic medications (Per-phenazine, Olanzapine, Quetiapine, Risperidone, and Ziprasidone), leading to 20 prediction experiments. For 18 out of 20 experiments, all three performance measures were greater than 0.50 (sensitivity 0.51-0.79, specificity 0.52-0.79, accuracy 0.52-0.74). Notably, the model provided a promising prediction for Ziprasidone for the case involving completion of phase 1/1A (Yes/No) predicted by 13 SNPs and 53 baseline variables (sensitivity 0.75, specificity 0.74, accuracy 0.74). The proposed algorithm simultaneously used both genetic information and clinical profiles to predict individual patients' response to antipsychotic medications. As the method is not disease-specific but a general algorithm, it can be easily adopted in many other clinical practices for personalized medicine. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Personalized medicine computational algorithm Predictive modeling GWAS SNPs Pharmacogenomics

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Pro-Environmental Potential in Activity-Travel Routine of Individuals: A Data Driven computational algorithm 9th

Pro-Environmental Potential in Activity-Travel Routine of In...

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9th International Conference on Ambient Systems, Networks and Technologies (ANT) / 8th International Conference on Sustainable Energy Information Technology (SEIT)

作者： Ahmed, Shiraz Adnan, Muhammand Janssens, Davy Yasar, Ansar-ul-Haque Kumar, Prashant Shakshuki, Elhadi M. UHasselt Hasselt Univ Transportat Res Inst IMOB Agr Laan B-3590 Diepenbeek Belgium Univ Surrey Fac Engn & Phys Sci Global Ctr Clean Air Res GCARE Dept Civil & Environm Engn Guildford GU2 7XH Surrey England Acadia Univ Jodrey Sch Comp Sci Wolfville NS Canada

Informational interventions are considered important to bring positive changes in attitudes and perception about pro-environmental life styles among individuals. In relation to mobility aspects, it is vital to identify relatively easier changes that have potential to reduce negative impacts of mobility on environment and individual health. This paper provides a comprehensive methodological framework and developed a computation algorithm that helps identify such an easy changes in the travel behavior of an individual. The development of algorithm is based on a variety of different data sources such as activity-travel diaries and related constraint information, meteorological conditions, bicycle and public transport supply data. A variety of rules that are part of the computational algorithm are taken from the transport modelling literature, where constraints and factors were examined for various activity-travel decisions. Three major aspects of activity-travel behavior such as lesser car use, cold start of car engines and participation in non-mandatory outdoor activities are considered in assessing pro-environmental potential. The algorithm is applied to data collected, using citizens from Hasselt and their pro-environmental potential is determined, which has been found significant. (C) 2018 The Authors. Published by Elsevier B.V.

关键词： Pro-environmantal potential acitivity-travel behavior informational intervention computational algorithm

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Pro-Environmental Potential in Activity-Travel Routine of Individuals: A Data Driven computational algorithm

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Procedia Computer Science 2018年 130卷 541-548页

作者： Shiraz Ahmed Muhammand Adnan Davy Janssens Ansar-ul-Haque Yasar Prashant Kumar Elhadi M. Shakshuki UHasselt - Hasselt University Transportation Research Institute (IMOB) Agoralaan 3590 Diepenbeek Belgium Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering Faculty of Engineering and Physical Sciences University of Surrey Guildford GU2 7XH Surrey United Kingdom Jodrey School of Computer Science Acadia University Wolfville Nova Scotia Canada

关键词： Pro-environmantal potential acitivity-travel behavior informational intervention computational algorithm

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Stability investigation of velocity-modulated gear system using a new computational algorithm

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NONLINEAR DYNAMICS 2017年第2期89卷 1111-1128页

作者： Liu, Fuhao Zhang, Liang Yu, Xuehua Yancheng Inst Technol Dept Automot Engn Yancheng 224051 Peoples R China

By considering the lubricant in gear system, one degree-of-freedom model is set up which incorporates the pinion's speed and the drag torque as the excitation sources. By introducing a permissible error (), a new computational algorithm using double-changed time steps is proposed in order to reduce the ill-conditioning arising from the numerical stiffness of the gear system and validated by comparison with Runge-Kutta-Fehlberg integration scheme. Then, the influences of the lubricant on the vibration of the gear system are analyzed. The results obtained in this paper indicate that the proposed numerical algorithm not only improves the accuracy of the solution, but also accelerates the calculation speed of the whole system. And according to the collision feature, the contributions of the lubricant on the system are totally different with different pinion's speed and drag torque. Next, by introducing the proposed computational algorithm into the Floquet theory, the stability analyses of the gear system are investigated under the different excitation sources, which demonstrates that the excitation sources significantly affect the operating instability regions. In practice, particular instabilities can be minimized by the proper selection of pinion's speed and drag torque, which can be adjusted according to the working requirements in advance.

关键词： Gear system computational algorithm Stability analyses Nonlinear vibration

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