One hundred and twenty patients of lateral epicondylitis of 3 – 6 months duration in age group of 20 – 40 years were randomly distributed in three groups ( A, B and C) based on the treatment modality used in the three groups. Each study group enrolled 40 patients using block randomization. Group A patients received 2ml of corticosteroid injection, Group B 2ml of autologous blood and Group C 2ml of 5% dextrose. Patients were then followed at regular intervals till a final follow up at 6 months. The Visual analogue scale (VAS) scores were recorded at pre procedure and post procedure at 4 weeks and at 6 months. The study showed a significant difference in the scores among the three groups. The mean VAS scores changed at 4 weeks from a pre procedure mean of 7 to 3 in Group A, a mean of 8 to a mean of 5 in group B and a mean of 7 to 6 in group C. The mean VAS scores changed at 6 months from a pre procedure mean of 7 to 5 in Group A, a mean of 8 to 2 in group B and a mean of 7 to 5 in group C. These results showed an early improvement in Group A and B as compared to the control but better improvement of scores were seen in the autologous blood group at 6 months follow up. The results were analyzed statistically and the results were found to be statistically significant (p<.001) In this prospective, randomized, controlled trial, although corticosteroid showed an early advantage over the autologous blood group but at long term follow-up of 6 months results were much better for autologous blood group. It’s hence proposed that a combination of steroid followed later by an autologous blood injection would have the advantage of both the treatment modalities.

Abstract\n\nA pressure control valve of a spray-multipoint system (diaphragm) belonging to an injection engine (1600cc) to adjust fuel pressure has been considered. This valve is installed at the tail of the fuel manifold to control the fuel pressure with using Electrical Motor System (EMS). In this investigation, the performance of valve has been explained as well as mathematical equations. Subsequently, vibrative model of diaphragm and its free vibration are analyzed in continuance. Element Free Galerkin (EFG) method and ANSYS software have been used in order to analyze natural frequency diaphragm. EFG method utilizes moving least squares (MLS) approximately to make shape functions based on a set of nodes scattered in the problem domain. The dynamic equations of the system are formulated by using the Lagrangian equations. The main boundary conditions are imposed through using their weak forms with Lagrange multipliers. Orthogonal transmission technique is used to implement the main boundary conditions in the eigenvalue equations. The present EFG method is coded in FORTRAN. Moreover, dimensionless fundamental frequency of vibrative model related to valve diaphragm which has complicated shape has been obtained through several types of difficult boundary conditions and using two aforementioned methods. Very appropriate agreements have been acquired by comparing the gained results.

Asmari Formation is the youngest and the most important reservoir of Iran Zagros basin, because there is oil in this formation. In order to arrive at qualitative assessment of Asmari reservoir, geomechanical analysis was done on wellbore wall. Moreover, geomechanical characterization of these area and qualitative assessment of reservoir in Asmari Formation are studied. The method of this study is the method of second hand data, it means that the research have been studied based on results and findings of previous researches. The results show that Asmari Formation has the following characteristics: with the increase of depth, shale and lime amounts increase, but quartz decreases, with the increase of depth, dolomite amount decreases, majority of zones with more than 80 percent of sand have the most useful hydro carbonic columns, pure thickness and the best reservoir quality with water saturation less than 20 percent.

In this literature review the methods of control lower limb exoskeleton\nwith the EMG-based controller is being discussed. The focus of the most reference-es in this chapter is on EMG signals features and how to calibrate them to design.motion controller for knee prosthesis and or thosis. In the end non linear-based control design is mentioned to design PID and MRAC controllers.

Regression testing is a re-testing technique to test the changes, which is taken in the modified or enhanced application to ensure that the changes do not impairment the accessible behavior of the application. Modifications in the applications mainly focus on three types namely binding, process and interfaces. In order to accomplish the regression testing for a modified portion of an application, test cases are selected from a test suite. Selection and generation of the test cases are more important and also it is a tough process in regression testing. In this article, we proposed a technique to automatically generate the test cases for testing the changes of various versions of BPEL (Business Process Execution Language) dataset. We construct a hierarchical test tree (HTT) for both the new and old versions composite services that are modified for an application and also for the unmodified. The changes are tracked by analyzing the control flow of both trees constructed above using the BPEL dataset. We analyzed the performance of the proposed technique and the experimental results showed that our method performs well than the earlier techniques.

This paper proposes a different approach based on Metaheuristic Algorithm is presented for selecting region of interest in mammogram image. The process is carried out on the basis of image segmentation. The foraging behavior of monkey is optimized as Monkey Search Optimization (MSO) which is the subset of the metaheuristic algorithm. Pectoral region removed image is given as input for feature extraction. To solve complex problems by cooperation the behaviors are considered. Several algorithms based on population-based metaheuristic algorithms were introduced in the literatures to solve different problems like optimization problems; it is proven by result that the proposed approach has the potential to be an appropriate algorithm for image segmentation. Results are presented based on simulation made with the implementation in MATLAB which is tested on the images of MIAS database.

Starting system plays crucial role in vehicle operation and failure in which causes engine staring problem. Vehicle starting system failure detection is a challenging task, especially for the inexperienced mechanics and drivers. The success of finding the fault is extremely dependent on the expertise of the individual. To avoid unnecessary breakdown of the vehicle due to starting system problem which cause monetary loss to individuals and overcome the problem of dependent on the expertise individual, in this study, a fuzzy logic based fault detection and diagnosis system has been developed. For this purpose information of current and voltage values of starting system with various fault conditions are acquired by conducting set of tests on vehicles and practiced using fuzzy logic fault diagnosis system (FLFDS). A graphical user interface (GUI) software is also developed using MATLAB® GUI software and it is interfaced with PIC18F4520 controller for implementation on petrol and diesel cars. With the help of this electronic control unit, starting system faults like starter motor brush fault, armature fault, field winding fault, short circuit fault, battery fault and open circuit fault can be detected for further corrective action. The developed graphical user interface (GUI) software was tested (off-board) using sample data obtained from real time starting system and validated these results (on-board) using the developed electronic control unit by conducting field trials on petrol and diesel cars.

In an interconnected power system, low frequency electromechanical oscillations are initiated by normal small changes in system loads, and they become much worse following a large disturbance. Flexible AC Transmission System (FACTS) devices are widely recognized as powerful controllers for damping power system oscillations. The standard FACTS controllers are linear controllers which may not guarantee acceptable performance or stability in the event of a major disturbance. To overcome the drawbacks of conventional controllers, ANFIS (Adaptive Neuro-Fuzzy Inference System) control scheme has been developed in this paper, and it has been applied for the external coordinated control of series connected FACTS controllers known as Static Synchronous Series Compensators (SSSCs) employed in a multimachine power system. In neuro-fuzzy control method, the simplicity of fuzzy systems and the ability of training in neural networks have been combined. The training data set the parameters of membership functions in fuzzy controller. This ANFIS can track the given input-output data in order to conform to the desired controller. Simulation studies carried out in MATLAB/SIMULINK environment demonstrate that the proposed ANFIS based SSSC controller shows the improved damping performance as compared to conventional SSSC based damping controllers under different operating conditions.

In Ubiquitous and pervasive computing systems, In addition to advising the surrounding environment and following the changes (such as user location, time, resources, digital equipment) An Application have to adjust its performance in order to more compatibility with the new situation. So almost all of common Informative Context-aware systems are organized based on database systems and try to improve the mechanisms that are used in database systems. One of the most important topics in ubiquitous systems, especially context-aware systems, is preparation of them in general form for all of the available networks specially MANETs (Mobile Ad-Hoc Networks). Selecting this approach in an unpredictable environment such as MANETs is a key strategy in order to developing the software systems. In this paper, our method in the name Energy-efficient Context Aware System (ECAS) will provides an effective and quick indexed technique to respond to the queries in a desire context aware system, by focusing on power consumption. Evaluating and Simulation of the mentioned method has been done by J-Sim simulator and effectiveness of this method in decreasing the significant amount of power consumption has been proved.

This work deals with simulation and implementation of UPQC system to improve the power quality in multibus system. The UPQC system is modeled using the elements of Simulink and it is simulated using MATLAB. A sag is created by applying a heavy load at the receiving end. The sag is compensated by using the UPQC. The harmonics required at the receiving end are supplied by the inverter part of UPQC. The DC required by the UPQC is supplied by Solar cell and Boost converter system. The hardware is fabricated and tested. The experimental results are compared with simulation results.