2011 Fourth International Conference on Modeling, Simulation and Applied Optimization最新文献

{"title":"Modeling and optimization of struvite precipitation process for phosphorus recovery from wastewater","authors":"K. Fattah, D. Mavinic","doi":"10.1109/ICMSAO.2011.5775497","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775497","url":null,"abstract":"The recovery of phosphorus from wastewater following struvite precipitation pathway can provide a viable and sustainable source for phosphorus. This pathway is important because current phosphorus ore reserves are expected to be exhausted within the next few decades, or, the recovery from the ores will become more costly. However, the recovery of phosphorus from wastewater is not straightforward due to the complexities arising from the number of variables and chemistry involved with the precipitation of phosphorus as struvite. Modeling the dynamic nature of the crystallization phenomenon appears to be the method of choice to control the process. In this study, a dynamic control model for phosphorus recovery process via struvite crystallization was developed. This model incorporated both chemistry and control software, and was used to increase the efficiency and ease of process operation of a pilot-scale fluidized crystallizer. This process model was the basis of an automatic controller that had the capability to manipulate flows and chemical additions, and thereby control the system at a desired set point. The control model was then used as a prediction tool to determine conditions that influence the supersaturation ratio — the primary control parameter — of the process.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80451657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Possibility of genetic restoration for a disease treatment","authors":"T. Tsukahara, Yuji Ooka, S. Alam, H. Suzuki, K. Fujimoto","doi":"10.1109/ICMSAO.2011.5775517","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775517","url":null,"abstract":"We are trying to alter the coded message of RNA transcripts by photochemical RNA editing to treat genetic diseases. A mutation of mtDNA T8993C in Leigh syndrome as a model, we subjected site-directed deamination of C to U by reversible photoligation using hairpin-type oligonucleotides with carboxyvinyldeoxy-uridine at the 5'-terminal. We observed significant objective base substituted fragment with ODN2 as a 72mer ODN as a target. Then, we tried to genetic restoration experiments as patient derived samples as targets. ODN2 could restore 10% of the mutated C to U, when in-vitro-synthesized-full-length RNA was used as a target. Moreover, the site-directed deamination was performed even toward total RNA from the patients's cells as a target.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83450528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Four step implicit block method of Runge-Kutta type for solving first order ordinary differential equations","authors":"H. M. Radzi, Z. Majid, F. Ismail, M. Suleiman","doi":"10.1109/ICMSAO.2011.5775471","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775471","url":null,"abstract":"In this paper, a four step implicit block method for solving first order ordinary differential equations (ODEs) is proposed. The method approximates the solutions of initial value problems at four-point mesh simultaneously using variable step size. This four step implicit method is of the multistep type but it is implemented as the Runge-Kutta type. The stability regions of the method are also studied. Numerical results are presented to show the efficiency of the proposed block method.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76614374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A sequential approach for fault detection and identification of vehicles' ultrasonic parking sensors","authors":"M. Abdel-Hafez, Ahmad Al Nabulsi, A. Jafari, Farouq Al Zaabi, M. Sleiman, Ahmad AbuHatab","doi":"10.1109/ICMSAO.2011.5775498","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775498","url":null,"abstract":"This paper presents a sequential fault detection and identification algorithm to be applied for vehicle's ultrasonic parking sensors. The algorithm detects a bias fault in any of the ultrasonic sensors by computing the probability of having that bias fault given a constructed measurement residual that is only a function of the measurement noise and measurement fault. A set of bias hypotheses are assumed and initially given equal alarm probability. It is assumed that only one sensor will acquire a bias at any given time. Once the probability of a hypothesis approaches 1, that hypothesis is declared as the correct hypothesis and the bias associated with the hypothesis is removed from the sensors' reading. This study is essential to ensure accurate operation of vehicle's ultrasonic parking sensors.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72750872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geosynchronous transfer orbit design: A practical approach","authors":"E. Hernandez, J. Bolivar, Q. Wang","doi":"10.1109/ICMSAO.2011.5775483","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775483","url":null,"abstract":"This paper is proposing a practical approach for a Geosynchronous Transfer Orbit design. To design the intermediate orbits between the injection orbit and the Geosynchronous Orbit were used the Hohmann Transfer Orbit, Keppler 3rd Law and the propellant consumption equations. According to design, these intermediate orbits will be followed by a communication satellite during its orbital maneuver sequence ensuring its final orbital position and minimal fuel consumption. Simulation results and comparison with STK software showed that the approach can simply and effectively be used in the Geosynchronous Transfer Orbit Design.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74797553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gene expression profiles predict survival of patients with advanced non-small cell lung cancers","authors":"R. Harun, J. Hadi, Nur Shukriyah Mhazir, Pang Jyh Chyang, I. Rose, R. Manap, F. Anshar, NorAdina A Tajuddin, Andrea By Li, A Rahman A Jamal","doi":"10.1109/ICMSAO.2011.5775581","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775581","url":null,"abstract":"A large variation in prognosis is observed despite the use of clinical prognostic factors in patients with advanced non-small cell lung cancer (NSCLC). It is likely that this variation is due to the different biological properties of the tumour cells. In this work we aimed to identify gene signature that could predict survival in advanced NSCLC. Total RNA was extracted from five 5 μm-thick sections of the FFPE using the High Pure RNA Paraffin Kit (Roche). RNA amplification was performed using WT-Ovation™ FFPE RNA Amplification System V2 (NuGen). The amplified cDNA was then labelled and hybridised onto Illumina HumanRef-8 v3.0 Expression BeadChips. Microarray data analysis was subsequently performed using Genespring GX version 9.0. Out of 75 FFPE samples, only 32 had sufficient RNA quality and quantity for microarray gene expression analysis. Patients were grouped into long and short survival groups based on the time to cancer-related death. After normalization and filtration, 19,002 genes were selected for differential gene expression analysis. A total of 440 genes differed significantly between the long and short survival groups (ANOVA, p < 0.05, with Benjamini and Hochberg False Discovery Rate multiple testing correction). Unsupervised Hierarchial Clustering with Pearson correlation and average linkage identified two broad clusters of patients corresponding to the long and short survival. Thirteen genes were selected based on the TTest, 2-fold expression changes, principal components analysis and univariate Cox regression analysis and risk scores were calculated for each patient. These gene signatures were independent predictors of survival. The model was validated with a published microarray data from 130 patients with NSCLC. Using Gene Set Analysis (GSA), we found certain biological processes including metastasis and chemotherapy resistance were up-regulated in the short survival group while TID pathway and MAPKKK cascade were enriched in the long survival group. As the conclusion, there is several distinct gene expression profiles associated with survival of patients with advanced stage NSCLC. Survival outcomes in advanced NSCLC could be predicted based on a 13-gene signature.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75045922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A simulation optimization approach to un-paced assembly line balancing problem-II with additional reworking issue","authors":"M. Noushabadi, U. Bahalke, K. Dolatkhahi, A. Yolmeh","doi":"10.1109/ICMSAO.2011.5775596","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775596","url":null,"abstract":"This paper investigates the problem of assembly line balancing problem, in which the products in the production line may undergo to be reworked on the current task. Since the real manufacturing systems deal with the stochastic nature of the items in production lines, this paper considers the simple assembly line balancing problem type 2 (SALBP-II) under the conditions of stochastic processing time of tasks and the element of reworking system. Exposing to the stochastic conditions encouraged us to handle the problem via simulation optimization procedure, which uses the well known genetic algorithm as an optimization tool. Results show the adaptation and effectiveness of GA to considered problem.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75399257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of afflux of bridge constriction with piers using Artificial Neural Network","authors":"S. Atabay, Jamal A. Abdalla, G. Seckin, M. Mortula","doi":"10.1109/ICMSAO.2011.5775538","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775538","url":null,"abstract":"Bridge constriction in channels usually causes afflux which results in increase in backwater level well above the normal level and may possibly result in overflow on the flood plain surrounding the channel during flooding period. This paper uses Artificial Neural Network to predict the afflux based on the parameters including coefficient of frictions of main channel (nmc) and of floodplain (nfp), bridge width (b) and flow discharge (Q). A Multi-Layer Perceptron (MLP) ANN is used to predict the afflux using these parameters. The training and testing data are the result of experimental investigation. It is observed that the afflux values predicted by the ANN model are very accurate compared to the experimentally measured values with a Normalized Mean Square Error (NMSE) of 0.002 and a Correlation Coefficient of 0.999. The developed ANN model can be used safely to conduct a parametric study to investigate the influence of the parameters nmc, nfp, b and Q on the afflux of a bridge constriction with piers.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80108846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of nonlinearities through control techniques of the quadrotor aerial vehicle","authors":"Premeela T. Nathan, H. Almurib","doi":"10.1109/ICMSAO.2011.5775511","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775511","url":null,"abstract":"The kinematic and dynamic analysis is applied to the task of controlling and maneuvering the quad-rotor. Here, an evaluation and discussion of the PD (Proportional Derivative) controller is used to navigate the vehicle as it performs basic translational and rotational motions. A comparison is made between the advantages and disadvantages of the controller through the evaluation of the effects of nonlinearities such as atmospheric noise, sensor drift and noise, acceptable range of additional payload and inertial values as well as limitations of maximum rotor speed. Lastly, the most discussed means of quad-rotor optimization are evaluated.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84159232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Formal methods and automation for system verification","authors":"H. Krad","doi":"10.1109/ICMSAO.2011.5775479","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775479","url":null,"abstract":"Software and hardware systems are growing fast in both functionality and complexity and consequently, the probability of delicate faults existence in these systems is also increasing. Some of these faults may result in disastrous loss in both money and time. One main goal of designing those systems is to construct better and more reliable systems, regardless of the level of their complexity. Formal methods can be used to specify such systems and be automated to verify them. In this paper, we introduce and show how we can use some of those formal methods, Propositional Logic (PL) and First Order Logic (FOL), in specifying and verifying the correctness of related system aspects.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87272829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}