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Search Results: 1 - 10 of 1142 matches for " GA-FSVML "
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FSVML AND GA-FSVML WRAPPER APPROACHES FOR GENE SELECTION AND CLASSIFICATION USING EXPRESSIONS OF VERY FEW GENES
Revathy N. and Balasubramanian R.
International Journal of Genetics , 2012,
Abstract: Recently, Gene expression profiling by microarray technique has been effectively utilized for classification and diagnostic guessing of cancer nodules in the field of medical sciences. But the techniques used for cancer classification is still in its lower level. There are various drawbacks in the existing classification techniques such as low testing accuracy, high training time, unreliability, etc. Moreover, microarray data consists of a high degree of noise. Gene ranking techniques such as T-Score, ANOVA, etc are later proposed to overcome those problems. But those approaches will sometimes wrongly predict the rank when large database is used. To overcome these issues, this paper mainly focuses on the development of an effective feature selection and classification technique for microarray gene expression cancer diagnosis for provide significant accuracy, reliability and less error rate. In this paper, Wrapper feature selection approach called the GA-FSVML approach is used for the effective feature selection of genes. In FSVML, the RBF kernel function in SVM is trained using modified Levenberg Marquadt algorithm. This approach proposes a Fast SVM Learning (FSVML) technique for the classification tasks. The experiment is performed on lymphoma data set and the result shows the better accuracy of the proposed FSVML with GA-FSVML classification approach when compared to the standard existing approaches.
Significant of BER Detection Using Hybrid Genetic Algorithm for CDMA System  [PDF]
Anwar Hassan Ibrahim
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.65003
Abstract: In this paper, CDMA system is considered to enhance the detection techniques, which uses genetic algorithm practice to introduce an optimum multi-user indicator based on bit synchronization for code division multiple access via high level of noise (Gaussian channel). The proposed method presented in this paper is to define the transmitted bit sequence and optimization in the receiver using hybrid GA scheme, which considered a complicated method to match the users’ bits correlation metric. A Matlab simulation results shows that, the BER performance under certain condition of SNR for multi-user detector methods indicate the single-user convolution bound, despite the fact that a lower complication as associated to the best multi-user detection. Particularly the hybrid GA structure is more suitable for a high number of users and suitable for CDMA system enhancement in order to perform lower computational complexity in shorter time period.
Optimization of Recloser Placement to Improve Reliability by Genetic Algorithm  [PDF]
Nematollah Dehghani, Rahman Dashti
Energy and Power Engineering (EPE) , 2011, DOI: 10.4236/epe.2011.34061
Abstract: In this paper, a simple method for placing an optimal number of recloser is presented. The algorithm is solved using genetic algorithm as the optimization method. The majority of outage events experienced by customers are due to electrical distribution failures. Increasing network reliability is a necessity in order to reduce interruption events. Distribution network automation can trim down outage events and increase system reliability. Network automation has to be done using optimization approaches. Genetic Algorithm (GA) is a relatively new technique used in power systems optimization problems. Distribution network automation is one of the aspects tackled using GA. However ,the methodologies used to improve the reliability of radial distribution feeders are reviewed. The reliability improvement are demonstrated for typical distribution feeder layouts. determined. The method enjoys the simplicity of conFigure uration, accuracy of the results and reduction of the time consuming. The obtained results also show the applicability of the algorithm
Particle Swarm Optimization (PSO) Based Turbine Control  [PDF]
Ali Tarique, Hossam A. Gabbar
Intelligent Control and Automation (ICA) , 2013, DOI: 10.4236/ica.2013.42018
Abstract: The steam turbine control system is strongly non-linear in all operating conditions. Proportional-Integral-Derivative (PID) controller that is currently used in control systems of many types of equipment is not considered highly precision for turbine speed control system. A fine tuning of the PID controller by some optimization technique is a desired objective to maintain the precise speed of the turbine in a wide range of operating conditions. This Paper evaluates the feasibility of the use of Particle Swarm Optimization (PSO) method for determining the optimal Proportional-Integral-Derivative (PID) controller parameters for steam turbine control. The turbine speed control is modelled in SimulinkTM with PID controller and the PSO algorithm is implemented in MATLAB to optimize the PID function. The PSO optimization technique is also compared with Genetic Algorithm (GA) and it is validated that PSO based controller is more efficient in reducing the steady-states error; settling time, rise time, and overshoot limit in speed control of the steam turbine control.
Accuracy of Ultrasound to Determine Gestational Age in Third Trimester  [PDF]
Hebah A. Falatah, Ibrahim A. Awad, Hanan Y. Abbas, Maway A. Khafaji, Khalid G. H. Alsafi, Saddig D. Jastaniah
Open Journal of Medical Imaging (OJMI) , 2014, DOI: 10.4236/ojmi.2014.43018
Abstract: Rapid and accurate determination of gestational age (GA) may be vital to the appropriate care of the critically ill pregnant patient and improve obstetric care through allowing the optimal timing of necessary interventions and the avoidance of unnecessary ones. Ultrasound scans are considered to be the most cost-effective, accurate and safe methods for measurement of various fetal parts in pregnant women. The aim of this research is to explore the accuracy of ultrasound in determining gestational age of fetus in third trimesters. Data collected for all pregnant women referred to the Maternity & Children’s Hospital in Jeddah. Only women with single live fetus were included in this study. Women who participated in the study were selected on following criteria: Regular menstrual cycles, known date of last menstrual period and previous live normal neonates in multipara. All scans were performed by a single ultrasonologist on one ultrasound machine. From collected data, it was found that out of 53 (100%) patients, 44 (84.62%) pregnant woman have different gestational age from US and last menstrual period (LMP). From this study we can conclude that the main method to follow fetus growth in third trimester not biparietal diameter (BPD) measurement only. The BPD in third trimester is not reliable and be useless when the patient pass 30 weeks and the BPD has to be side with other measurements when we take it in later trimesters to emphasize the normal growth of fetus and avoid wrong measurement of ultrasound.
Efficient Optimization Algorithm for Dwindling Payment and Power Management  [PDF]
P. Sangeetha, S. Suja
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.79186
Abstract: In this current era, rising demand ultimately leads to the scarcity of source in terms of power. To fulfill this inadequacy and because of the availability and easy conversion of electrical energy, hybrid energy system is the best choice for non renewable energy source replacement, which dominates the demand of reliable power. In this paper, we have proposed and analyzed the optimal capacity of the Photovoltaic and Wind as a hybrid system, standing as a foremost motivating force for the public improvement. To provide uninterrupted supply, storage device is used along with the integrated sources. The key pioneering part of this research paper is the performance of the projected system for cost optimization, which is realized by running the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. The result is the baseline system cost necessary to meet the load requirements. The above stated process is implemented using MATLAB. The motivation of choosing these algorithms is because of swift convergence in real time power management. Performance parameter Total Harmonic Distortion (THD) is also calculated for the proposed system.
PID Parameters Optimization Using Genetic Algorithm Technique for Electrohydraulic Servo Control System  [PDF]
Ayman A. Aly
Intelligent Control and Automation (ICA) , 2011, DOI: 10.4236/ica.2011.22008
Abstract: Electrohydraulic servosystem have been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to increase the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control software has the ability of overcoming the problems of system nonlinearities. In This paper, a Proportional Integral Derivative (PID) controller is designed and attached to electrohydraulic servo actuator system to control its angular position. The PID parameters are optimized by the Genetic Algorithm (GA). The controller is verified on the state space model of servovalve attached to a rotary actuator by SIMULINK program. The appropriate specifications of the GA for the rotary position control of an actuator system are presented. It is found that the optimal values of the feedback gains can be obtained within 10 generations, which corresponds to about 200 experiments. A new fitness function was implemented to optimize the feedback gains and its efficiency was verified for control such nonlinear servosystem.
The Potential Role of Osmotic Pressure to Exogenous Application of Phytohormones on Crop Plants Grown under Different Osmotic Stress  [PDF]
Hamdia M. Abd El-Samad
American Journal of Plant Sciences (AJPS) , 2016, DOI: 10.4236/ajps.2016.76089
Abstract: The osmotic pressure represented as a sign of plant tolerance or sensitive to salinity stress. In the following plants, the increase in OP seems to be a manner of defense mechanism to survive. OP increased in shoots of maize, shoot and root of wheat and cotton plants was concomitant with shoot soluble sugar, root soluble protein and shoot and root amino acids of maize plants. However, in wheat the increase in OP was related with increase of root soluble sugar and protein of shoots and roots. In cotton plants, the elevation of OP was run parallel with increase soluble sugar of shoots and roots, shoot soluble protein and root amino acids. The increase in OP was related with a marked and significant reduction in the water content of these plants. However, the decrease in OP of shoot and root of broad bean was related with the reduction of shoots and roots soluble sugar, protein and root amino acids of broad bean. While the OP becomes more or less unchanged in shoots and tended to decrease in root of parsley plants, this concomitant with unchanged trend in the shoots amino acids and reduction in root soluble sugar and root amino acids. Run with previous trend values of OP and metabolites of parsley plants were related with stable values in shoot water content and reduction in root water content. With GA3 and kinetin treatments mostly increase the values OP which parallel with increase and soluble sugar, soluble protein and amino acids contents of shoots and roots of maize, wheat, cotton, broad bean and parsley plants with NaCl increasing. This related with increase water uptake by roots in these plants. The results indicated that kinetin had a more effective to shoot maize, both organs of wheat, broad bean and parsley plants in response to salinity stress while GA3 was more effective on cotton plants especially at higher levels of salinity. Thus plants strategy differed in their tolerance to salinity stress according to their species and differed also according to the different organs of the same plants and kinetin treatment induced highly positively affect than
Proliferation, Multiplication and Improvement of Micro-Propagation System for Mass Clonal Production of Rose through Shoot Tip Culture  [PDF]
Allah Jurio Khaskheli, Muhammad Ibrahim Khaskheli, Maqsood Ahmad Khaskheli, Tahmina Shar, Waqas Ahmad, Umed Ali Lighari, Muhammad Azeem Khaskheli, Asad Ali Khaskheli, Faisal Hayat Makan
American Journal of Plant Sciences (AJPS) , 2018, DOI: 10.4236/ajps.2018.92024
Abstract: Present study was conducted to assess the regeneration potential and producing mass-clonal seedlings of Rose through shoot tip culture. A total of 40 explants were cultured on each of basal medium supplemented with different concentrations of BAP, NAA and GA. The observations on the survival rate, days taken to initiate the shoots, total number of shoots and length of shoots, initiation of roots, total number of root, length of roots and number of leaves were investigated. Rose regenerated on MS-Basal medium (control) without addition of growth hormones showed significantly (P < 0.05) lower survival rate and did not show shoots up to the end of experiments. MS-Basal medium supplemented with different concentrations of BAP, NAA and GA showed increasing rate of survival. MS-Basal medium supplemented with highest BAP, NAA and GA concentration (MS-SV) has taken least time to initiate the shoots, whilst supplemented in concentrations of 0.5 and/or 1.0 mg/L, respectively revealed more time. Rooted plants were transplanted into the substrate and acclimatized in the laboratory greenhouse (humid cavity). The acclimatization in the humid cavity showed optimistic effect on the number of survived plants.
Determination of Endogenous GA3 Levels in Different Parts of Artichoke (Cynara scolymus L. cv. Sakiz) Plants in Various Developmental Stages
Nilda Ersoy,Mustafa Paksoy
Pakistan Journal of Biological Sciences , 2006,
Abstract: This study was conducted to reveal the levels of endogenous GA3 in different parts of artichoke (Cynara scolymus L.). Cynara scolymus L. cv. Sakiz, an important Turkish cultivar, was used as plant material. The levels of endogenous GA3 on GA3 treated and non-treated plants (control) were determined by High Performance Liquid Chromatography (HPLC) method. Experiment results revealed that the highest level of GA3 was present on the plants treated with in 25 ppm GA3 and had immature head. On the other hand it was found that the lowest level of GA3 was present on the plants treated with 50 ppm GA3 and had mature head.
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