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Search Results: 1 - 10 of 18301 matches for " Mohammad Hassan Moradi "
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Combination of designed immune based classifiers for ERP assessment in a P300-based GKT
Mohammad Hassan Moradi
Research Journal of Applied Sciences, Engineering and Technology , 2012,
Abstract: Constructing a precise classifier is an important issue in pattern recognition task. Combination the decision of several competing classifiers to achieve improved classification accuracy has become interested in many research areas. In this study, Artificial Immune system (AIS) as an effective artificial intelligence technique was used for designing of several efficient classifiers. Combination of multiple immune based classifiers was tested on ERP assessment in a P300-based GKT (Guilty Knowledge Test). Experiment results showed that the proposed classifier named Compact Artificial Immune System (CAIS) was a successful classification method and could be competitive to other classifiers such as K-nearest neighbourhood (KNN), Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM). Also, in the experiments, it was observed that using the decision fusion techniques for multiple classifier combination lead to better recognition results. The best rate of recognition by CAIS was 80.90% that has been improved in compare to other applied classification methods in our study.
Occlusion Robust Low-Contrast Sperm Tracking Using Switchable Weight Particle Filtering  [PDF]
Mohammadreza Ravanfar, Leila Azinfar, Mohammad Hassan Moradi, Reza Fazel-Rezai
Advances in Sexual Medicine (ASM) , 2014, DOI: 10.4236/asm.2014.43008

Sperm motility analysis has a particular place in male fertility diagnosis. Computerized sperm tracking has an important role in extracting sperm trajectory and measuring sperm’s dynamic features. Due to free movements of sperms in three dimensions, occlusion has remained a challenging problem in this area. This paper aims to present a robust single sperm tracking method being able to handle misdetections in sperm occlusion scenes. In this paper, a robust method of segmentation was utilized to provide the required measurements for a switchable weight particle filtering which was designed for single sperm tracking. In each frame, the target sperm was categorized in one of these three stages: before occlusion, occlusion, and after occlusion where the occlusion had been detected based on sperm’s physical characteristics. Depending on the target sperm stage, particles were weighted differently. In order to evaluate the algorithm, two groups of samples were studied where an expert had selected a single sperm of each sample to track manually and automatically. In the first group, the sperms with no occlusion along their trajectories were tracked to depict the general compatibility of the algorithm with sperm tracking. In the second group, the algorithm was applied on the sperms which had at least one occlusion during their path. The algorithm showed an accuracy of 95% on the first group and 86.66% on the second group which illustrate the robustness of the algorithm against occlusion.

Evaluation of Estimating Missed Answers in Conners Adult ADHD Rating Scale (Screening Version)
Farnaz Ghassemi,Mohammad Hassan Moradi,Mehdi Tehrani-Doost,Vahid Abootalebi
Iranian Journal of Psychiatry , 2010,
Abstract: "n Objective: Conners Adult ADHD Rating Scale (CAARS) is among the valid questionnaires for evaluating Attention-Deficit/Hyperactivity Disorder in adults. The aim of this paper is to evaluate the validity of the estimation of missed answers in scoring the screening version of the Conners questionnaire, and to extract its principal components. "n Method: This study was performed on 400 participants. Answer estimation was calculated for each question (assuming the answer was missed), and then a Kruskal-Wallis test was performed to evaluate the difference between the original answer and its estimation. In the next step, principal components of the questionnaire were extracted by means of Principal Component Analysis (PCA). Finally the evaluation of differences in the whole groups was provided using the Multiple Comparison Procedure (MCP). Results: Findings indicated that a significant difference existed between the original and estimated answers for some particular questions. However, the results of MCP showed that this estimation, when evaluated in the whole group, did not show a significant difference with the original value in neither of the questionnaire subscales. The results of PCA revealed that there are eight principal components in the CAARS questionnaire. Conclusion: The obtained results can emphasize the fact that this questionnaire is mainly designed for screening purposes, and this estimation does not change the results of groups when a question is missed randomly. Notwithstanding this finding, more considerations should be paid when the missed question is a critical one.
Effect of Cigarette Smoke on Spermatogenesis in Rats
Hassan Ahmadnia,Mohsen Ghanbari,Mahmoud Reza Moradi,Mohammad Khaje-Dalouee
Urology Journal , 2007,
Abstract: Introduction: The aim of this study was to evaluate the process of spermatogenesis in rats exposed to the cigarette smoke. Materials and Methods: Thirty adult male rats were divided into 2 groups of cases and controls. An apparatus made especially for this study was used to produce smoke from a commonly used cigarette and expose the rats to the smoke. The rats in the case group were exposed to the cigarette smoke for 10 weeks (90 minutes every day for 6 days in each week). The rats in the control group were meanwhile in the fresh room air. Results: Development of the sperms was mildly reduced in 14 (93.3%) and 4 (26.7%) rats in the case and control groups, respectively (P < .001). The mean average diameter of the seminiferous tubules was reported to be 0.421 ± 0.097 mm and 0.493 ± 0.026 mm in the case and control groups, respectively (P = .04). The mean numbers of Sertoli cells were 9.2 ± 1.2 and 13.3 ± 1.8 in the case and control groups, respectively (P < .001). A concurrent reduction in the number of germ cells and Leydig cells with the decrease in the number of Sertoli cells was seen in the rats of the case group. Conclusion: Cigarette smoke has a rather obvious effect on spermatogenesis in rats which may be due to toxic substances in the cigarette or the histologic reactions due to hypoxemia induced by smoke. Although further documentation, especially in humans is required, the potential impact of smoking on fertility in men should be considered in public health education.
A Fuzzy MCDM Approach for Evaluating Listed Private Banks in Tehran Stock Exchange Based on Balanced Scorecard
Mansour Momeni,Mohammad Hassan Maleki,Mohamad Ali Afshari,Javad Siahkali Moradi
International Journal of Business Administration , 2011, DOI: 10.5430/ijba.v2n1p80
Abstract: In today competitive world, banks in order to promote and progress should constantly utilize approaches and patterns for evaluating their function in organization. Concerning the importance of discussion, evaluating banks functions seems to be necessary for using an approach in order to determine all criterions and key factors. Thus, in resultant research of this article, balanced score card model was implemented. In resultant research of this article, firstly, four aspects of BSC for evaluating and assessing banks have been designated through studying perspectives, missions, solutions, banks' aims, overview of research literature, criterions, and sub criterions and then gravity of every criterion and sub criterion was determined by newspapermen help being specialized in the field of banking. And after gathering data related to every criterion, decision matrix was formed and banks were ranked by utilization of SAW, VIKOR, and TOPSIS techniques. Whereas it was possible that the methods results would be different, in the final step, borda method was embraced for consolidation of resultant outcomes and final ranking. In this research, Parsiyan bank got first rank, and Eghtesade Novin bank, KarAfarin Bank got second and third ranks respectively.
Application of cross-validation technique for zoning of groundwater levels in Shahrekord plain  [PDF]
Mostafa Moradi Dashtpagerdi, Hassan Vagharfard, Afshin Honarbakhsh
Agricultural Sciences (AS) , 2013, DOI: 10.4236/as.2013.47047

Water is one of the essential natural resources for the development of life on the earth. In this study we apply Disjunctive Kriging (DK) and Radial Basis Functions (RBF) for zoning of groundwater levels. In study area the groundwater levels data have high skewness. Due to samples unsuitable distribution, data was normalized using logarithmic and QQPlot methods. Also geostatistical different methods were evaluated using cross-validation technique. Results showed that Disjunctive Kriging (DK) compared to Radial Basis Function (RBF) has the higher accuracy and the best model of Semivariogramis Exponential model. Also the groundwater levels decreases from north to south of the Shahrekord plain, Iran. Finally, Disjunctive Kriging was selected as the most appropriate method of investigation for the groundwater levels zoning Sahrekord plain.

Application of Soft Computing Methods in Predicting Evapotranspiration  [PDF]
Afshin Honarbakhsh, Mostafa Moradi Dashtpagerdi, Hassan Vagharfard
Open Journal of Geology (OJG) , 2013, DOI: 10.4236/ojg.2013.37045

Exact prediction of evapotranspiration is necessary for study, design and management of irrigation systems. In this research, the suitability of soft computing approaches namely, fuzzy rule base, fuzzy regression and artificial neural networks for estimation of daily evapotranspiration has been examined and the results are compared to real data measured by lysimeter on the basis of reference crop (grass). Using daily climatic data from Haji Abad station in Hormozgan, west of Iran, including maximum and minimum temperatures, maximum and minimum relative humidities, wind speed and sunny hours, evapotranspiration was predicted by soft computing methods. The predicted evapotranspiration values from fuzzy rule base, fuzzy linear regression and artificial neural networks show root mean square error (RMSE) of 0.75, 0.79 and 0.81 mm/day and coefficient of determination of (R2) of 0.90, 0.87 and 0.85, respectively. Therefore, fuzzy rule base approach was found to be the most appropriate method employed for estimating evapotranspiration.

Multi Objective Load Shedding Framework  [PDF]
Atieh Delavari, Milad Nemati, Mohammad H. Moradi
Smart Grid and Renewable Energy (SGRE) , 2015, DOI: 10.4236/sgre.2015.68022
Abstract: In this paper, a multi-objective load shedding framework on the power system is presented. The frame work is useable in any kind of smart power systems; the word of smart here refers to the availability of data transmission infrastructure (like PLC or power line carrier) in the system, in order to carry the system data to the load shedding framework. This is an open framework that means it can optimize load shedding problem by considering unlimited number of objective functions, in other word, the number of objectives can be as much as the operator decides, finally in the end of frame work just one matrix breaker state is chosen in a way of having the most compatibility with the operator ideas which are determined by objectives importance percentage which are one input groups of the framework. A two-stage methodology is used for the optimal load shedding problem. In the first stage, Discrete Multi-objective Particle Swarm Optimization method is used to find a collection of the best states of load shedding (Pareto front). In the second stage, the fuzzy logic is used as a Pareto front inference engine. Fuzzy selection algorithm (FSA) is designed in a way that it can infer according to the operator’s opinion without the expert interference that means rule base is formed automatically by fuzzy algorithm. FSA is consisted of two parts. Membership functions and rules base are formed automatically in the first part, the former in accordance with the costs of Pareto front particles and the latter in correspondence with importance percentage of objectives which are entered to FSA by operator; in other word, decision matrix is formed automatically in the algorithm according to the cost of Pareto front particles and importance percentage of objectives. In the Second part, Mamdani inference engine scrutinizes the Pareto front particles by the use of formed membership functions and rules base to know if they are compatible to operator’s opinion or not. Getting this approach, cost functions of each particle are considered as the inputs of (FSA), then a fuzzy combined fitness (FCF) is allocated to each Pareto front particle by Mamdani inference engine. In other word, FCF shows how much the particle is compatible to the operator’s opinion. Finding minimum FCF, final inference is done. The proposed method is tested on 30-bus, and 118-bus IEEE systems by considering two or three objective functions and the results are presented.
Numerical Analysis of Electromagnetic Control of the Boundary Layer Flow on a Ship Hull  [PDF]
Mohammad Bakhtiari, Hassan Ghassemi
Open Journal of Fluid Dynamics (OJFD) , 2014, DOI: 10.4236/ojfd.2014.41006
Abstract: In this article, electromagnetic control of turbulent boundary layer on a ship hull is numerically investigated. This study is conducted on the geometry of tanker model hull. For this purpose, a combination of electric and magnetic fields is applied to a region of boundary layer on stern so that produce wall parallel Lorentz forces in streamwise direction as body forces in stern flow. The governing equations including RANS equations with SST k-ω turbulent model coupled with electric potential equation are numerically solved by using Ansys Fluent codes. Accuracy of this turbulent model of Fluent in predicting Turbulent flow around a ship is also tested by comparing with available experimental results that it shows a good agreement with experimental data. The results obtained for ship flow show that by applying streamwise Lorentz forces that are large enough, flow is accelerated. The results are caused to delay or avoid the flow separation in stern, increase the propeller inlet velocity, create uniform flow distribution behind the ship’s hull in order to improve the propeller performance, and finally decrease the pressure resistance and total resistance.
GIS Based Fuzzy Logic Approach for Identification of Groundwater Artificial Recharge Site  [PDF]
Mostafa Moradi Dashtpagerdi, Hassan Vagharfard, Afshin Honarbakhsh, A. Khoorani
Open Journal of Geology (OJG) , 2013, DOI: 10.4236/ojg.2013.36043

In recent decades population increasing and development of agriculture and also being mountainous and climatic characteristics of Sefieddasht plain and also nonuniform distribution of rainfall in study area have led to irregular use of groundwater resources in study area. This issue has led to critical condition of groundwater resources in Sefieddasht plain. This research was carried out to determine the suitable areas for artificial recharge in Sefieddasht plain. Four factors namely, alluvial quality, alluvial thickness, slope, and infiltration rate parameters were explored and maps produced and classified using GIS. Fuzzy logic model was used to determine the suitable areas for artificial recharge. Finally land use maps were used as a filter. Based on results 4.12% of region was recognized as suitable area for artificial recharge.

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