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Measurement of the illumination in official and educational places in Universities of Hamadan and comparison with international standards
Karim Ghazikhanlou Sani,Reza Habibipour,Maryam Mojiri
Pajouhan Scientific Journal , 2013,
Abstract: Introduction: There are many related factors effecting on learning and education improvements in each educational system. According to importance of lighting conditions on learning level and advancing of the performance, this study aims to evaluate the lighting conditions at classrooms and official places at Hamadan city affiliated Universities.Materials and Methods: In this cross-sectional study, lighting conditions at educational classrooms, official places and corridors of Hamadan city affiliated universities (Azad, Buali Sina, Payame noor, Medical Sciences, Tarbiat Moaalem and Technical School) were evaluated. A calibrated Luxmeter was used for measurements of lighting intensity. All measurements were using general method based on IESNA guidelines. The gathered results were compared by national lighting standards and IESNA advised amounts.Results: the mean of lighting intensity at classrooms of evaluated universities was between 301-666 Lux. This result indicates that the lighting level of majority of classrooms is in proper range. But the uniformity of lighting at majority of places was more than 50% and was not in standard range.Conclusion: The general lighting level at all of universities was upper than the lowest standard amount and the lighting conditions estimates as good. But in majority of cases (especially at university corridors) the mean of lighting intensity was upper than maximum advised amount.
Survey on Dermatophytosis in Wrestlers and Its Relationship with Wrestling Mats in Hamedan
Reza Habibipour,Leila Moradi-Haghgou,Samaiyeh Bayat
Zahedan Journal of Research in Medical Sciences , 2012,
Abstract: Background: This study examined the prevalence of Tinea gladiatorum as a superficial dermatophytosis in wrestlers of Hamedan and reviews this infection in the wrestling mats in terms of dermatophytic factors. Materials and Methods: This study was conducted (Oct. 2009 to the end of Sep. 2010) on 1,800 people in 10 wrestling halls. Samples of skin were collected from suspected wrestlers and evaluated via potassium hydroxide. Sterile carpet method (5×5) was also used for sampling from mats surfaces. Common mediums and methods in mycology were used to culture samples and detect grown fungi.Results44 individuals (2.4%) of the wrestlers were diagnosed with ringworm. A mat (10%) was infected with dermatophytes. Dermatophytic factor isolated from wrestlers and wrestling mats was Trichophyton tonsurans in all cases. Highest rate of infection in terms of weight was weight group above 90 kg, with infection rate of 5.4% and in terms of age, it was age group of 16-21 with infection rate of 2.6%. Most lesions were observed in the upper body areas in neck 21.3% and the least lesions were seen in the leg 8.2%. In this study, proportion z-test) showed a significant difference between the infected and non-infected wrestlers with ringworm in terms of frequent contact of the lesion with the mat surface and recurrence (p>0.05). On the other hand, statistical z-test showed that there is no significant difference between the infected and non- infected wrestlers with Tinea gladiatorum in terms of domestic and foreign travel and for training or competition with rivals, the number of domestic and foreign travels, weight, age, type of bathing, wrestling type, the geographic location of wrestling hall and anatomic location of lesion (p>0.05).Conclusion: Rapid diagnosis and appropriate treatment of dermatophytic infection and observance of health issues of athletes to prevent reduction and interruption of the exercises and competitions are essential.
An Improved Adaptive Genetic Algorithm for Job Scheduling Problem on Parallel Robots
Gohar Vahdati,Maryam Habibipour,Saeed Tousizadeh,Mahdi Yaghoubi
Majlesi Journal of Electrical Engineering , 2009, DOI: 10.1234/mjee.v3i3.105
Abstract: Minimizing mean tardiness by Job scheduling on parallel robots is very important in the scheduling domain. In this problem, there is a series of n-number independent jobs which are ready to be scheduled at the time of zero. Corresponding to each work, the processing time and duration date are determined. The aim of this approach is to find the order of jobs on the robots for minimizing the mean tardiness. This problem is in the class of NP-Hard combinational problems. Genetic algorithm is well known an effective tool for solving combinational optimization problems. In this study, an adaptive nonlinear genetic algorithm as well as two heuristic crossover and mutation operators are used. In the algorithm, there is a fitness function based on the mean tardiness. Therefore, the algorithm which can make the crossover and mutation probability adjusted adaptively and nonlinearly can avoid disadvantage such as premature convergence, low convergence speed and low stability. Experimental results demonstrate that the proposed genetic algorithm does not get stuck at a local optimum easily and yet it converges fast and is simple to implement.
A Note on Change Point Detection Using Weighted Least Square  [PDF]
Reza Habibi
Applied Mathematics (AM) , 2011, DOI: 10.4236/am.2011.210182
Abstract: This paper is concerned with the application of weighted least square method in change point analysis. Testing shift in the mean normal observations with time varying variances as well as of a GARCH time series are considered. For both cases, the weighted estimators are given and their asymptotic behaviors are studied. It is also described that how the resampling methods like Monte Carlo and bootstrap may be applied to compute the finite sample behavior of estimators.
Exponential B-Spline Solution of Convection-Diffusion Equations  [PDF]
Reza Mohammadi
Applied Mathematics (AM) , 2013, DOI: 10.4236/am.2013.46129
Abstract: We present an exponential B-spline collocation method for solving convection-diffusion equation with Dirichlet’s type boundary conditions. The method is based on the Crank-Nicolson formulation for time integration and exponential B-spline functions for space integration. Using the Von Neumann method, the proposed method is shown to be unconditionally stable. Numerical experiments have been conducted to demonstrate the accuracy of the current algorithm with relatively minimal computational effort. The results showed that use of the present approach in the simulation is very applicable for the solution of convection-diffusion equation. The current results are also seen to be more accurate than some results given in the literature. The proposed algorithm is seen to be very good alternatives to existing approaches for such physical applications.
Complex Matter Space and Relativistic Quantum Mechanics  [PDF]
Reza Ahangar
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.521317
Abstract: The Special Relativity Theory cannot recognize speed faster than light. New assumption will be imposed that matter has two intrinsic components, 1) mass, and 2) charge, that is M = m + iq. The mass will be measured by real number system and charged by an imaginary unit. This article presents a Complex Matter Space in Relativistic Quantum Mechanics. We are hoping that this approach will help us to present a general view of energy and momentum in Complex Matter Space. The conclusion of this article on Complex Matter Space (CMS) theory will lead help to a better understanding toward the conversion of mass and energy equation, unifying the forces, and unifying relativity and quantum mechanics.
Spatial Reactor Dynamics and Thermo Hydraulic Behavior Simulation of a Large AGR Nuclear Power Reactor in Response to a Reactivity Step Change Disturbance  [PDF]
Mohammad Reza Ansari, Reza Marzooghi
Energy and Power Engineering (EPE) , 2011, DOI: 10.4236/epe.2011.33047
Abstract: In this article, two-dimensional partial differential equations with time representation of nuclear power reactor kinetics are considered for spatial reactor dynamics and thermo hydraulic behavior analysis of a large thermal advanced gas cooled reactor (AGR) type used for nuclear power generation. The equations include the neutron flux equation and delayed neutron precursor concentration, together with taking into account the equations to represent the thermo hydraulic behavior of the fuel, coolant and moderator temperatures. These equations are solved numerically using the finite difference method. For time propagation, an implicit method is applied. The desired initial condition for the reactor to stay at stable critical condition is established by finding the correct value of reactivity. The reactivity disturbance effect in the reactor is studied for different cases and presented for high reactivity values. The model was developed for the analysis of a large AGR with 2000 MWe for future power generation. The results show that the model not only behaves stably but also predicts the results physically for all the various parameters.
3D Analysis and Investigation of Traffic Noise Impact from Hemmat Highway Located in Tehran on Buildings and Surrounding Areas  [PDF]
Hamid Reza Ranjbar, Ali Reza Gharagozlou, Ali Reza Vafaei Nejad
Journal of Geographic Information System (JGIS) , 2012, DOI: 10.4236/jgis.2012.44037
Abstract: This study analyzes and investigates the impact of traffic noise on high rise buildings and surrounding areas by the side of Hemmat Highway that links west of Tehran to the east. In this study, a 3D traffic noise simulation model is applied on a GIS system. Visualized noise levels are formulated by the proposed model for noise mapping on all surfaces of the buildings and surrounding ground in a 3D platform. The investigation shows that there is a high traffic noise impact on the foreground and front facades of buildings, rendering these areas unsuitable for residential purposes. The ground area by the sides of buildings and the building side panels receive a lower noise impact. Most of these areas are still not acceptable for residential and even commercial use, only the back yards and back panels, have the lowest traffic noise impact. It also shows that the building height is not an effective factor for reducing motorway noise on the upper part of the building. Finally, construction cantilever barriers with a height of seven meters, close to the outer edge of the highway was presented as an effective way to reduce noise within the allowable range of noise pollution for commercial and residential purposes.
Statistical Modeling of Pin Gauge Dimensions of Root of Gas Turbine Blade in Creep Feed Grinding Process  [PDF]
Ahmad Reza Fazeli
Engineering (ENG) , 2010, DOI: 10.4236/eng.2010.28081
Abstract: Creep feed grinding is a recently invented process of material handling. It combines high quality of the piece surface, productivity, and the possibility of automatic control. The main objectives of this research is to study the influences of major process parameters and their interactions of creep feed grinding process such as wheel speed, workpiece speed, grinding depth, and dresser speed on the pin gauge dimensions of root of gas turbine blade by design of experiments (DOE). Experimental results are analyzed by analysis of variance (ANOVA) and empirical models of pin gauge dimensions of root are developed. The study found that higher wheel speed along with slower workpiece speed, lower grinding depth and higher dresser speed, cause to obtain best conditions for pin gauge dimensions of root.
Recurrent Polynomial Neural Networks for Enhancing Performance of GPS in Electric Systems  [PDF]
Mohammad Reza MOSAVI
Wireless Sensor Network (WSN) , 2009, DOI: 10.4236/wsn.2009.12015
Abstract: Global Positioning System (GPS) is a worldwide satellite system that provides navigation, positioning, and timing for both military and civilian applications. GPS based time reference provides inexpensive but highly-accurate timing and synchronization capability and meets requirements in power system fault location, monitoring, and control. In the present era of restructuring and modernization of electric power utilities, the applications of GIS/GPS technology in power industry are growing and covering several technical and man-agement activities. Because of GPS receiver’s error sources are time variant, it is necessary to remove the GPS measurement noise. This paper presents novel recurrent neural networks called the Recurrent Pi-Sigma Neural Network (RPSNN) and Recurrent Sigma-Pi Neural Network (RSPNN). The proposed NNs have been used as predictor in GPS receivers timing errors. The NNs were trained using the dynamic Back Propagation (BP) algorithm. The actual data collection was used to test the performance of the proposed NNs. The ex-perimental results obtained from a Coarse Acquisition (C/A)-code single-frequency GPS receiver strongly support the potential of the method using RPSNN to give high accurate timing. The GPS timing RMS error reduces from 200 to less than 40 nanoseconds.
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