International Journal of Trend in Scientific Research and Development

research and analysis with Microfocus owned tool 'Load Runner', we will discuss about it deals with web based application and approach to calculate transaction per hour TPH for test execution. As tool supports many protocols based on the nature of application. Performance testing is used to analyze the real time response time for business transaction. Application be constant with increasing load or with simultaneous users should not affect the performance of the application, is our main motto as a Performance Tester Engineer. 

Personalization features are adopted to reduce information overload, to attract users and leveraging business by online social networking web portals in recent years. Still, less attention has been paid to design aspects of website personalization and its influence on users' decision making. To address this gap, the study draws a model based on Stimulus Organism Response theory and proposes a personalization model for users information processing and decision making. Different personalization aspects induce cognitive and hedonic users experience during interaction with websites which in turn generates satisfaction and effects on users' decision making to revisit the personalized social networking website. Research identifies personalization aspects used in social networking websites, proposes a research model and validates it empirically. Exploratory Factor Analysis EFA identifies seven factors like information, navigation, presentation personalization, cognitive, hedonic experience, satisfaction and intention to revisit a personalized website. Personalization Model is tested with 541 valid responses out of 600 valid responses collected through convenience sampling from social websites. Confirmatory Factor Analysis CFA result shows the interrelation of constructs information, presentation, navigation, cognitive, hedonic experience, satisfaction and intention to revisit. Equation Modeling result indicates a correlation between personalization aspects and users' satisfaction, intention t

From health surveys for public, the overweight condition of people happens frequently due to three causes eating too much, exercising too little, and eating incorrectly. For the normal person, it is difficult to know the situation means that acquiring and maintaining a healthy body weight. Therefore, this system tries to help the users to achieve a balanced diet in body weight management. For the body weight management system, the appropriate recipe will be calculated by linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users' nutritional requirement according to their intake of breakfast and lunch. For the body weight management system, the appropriate recipe will be calculated by integer linear programming for the users. To achieve a balanced diet with low calorie, the system can generate a recommended recipe for dinner, which intends to meet users' nutritional requirement according to their intake of breakfast and lunch. 

Face Recognition has develop one of the most effective presentations of image analysis. This area of research is important not only for the applications in human computer interaction, biometric and security but also in other pattern classification problem. To improve face recognition in this system, two methods are used PCA Principal component analysis and SOM Self organizing feature Map .PCA is a subspace projection method is used compress the input face image. SOM method is used to classify DCT based feature vectors into groups to identify if the subject in the input image is ""present"" or ""not present"" in the image database. The aim of this system is that input image has to compare with stored images in the database using PCA and SOM method. An image database of 100 face images is evaluated containing 10 subjects and each subject having 10 images with different facial expression. This system is evaluated by measuring the accuracy of recognition rate. This system has been implemented by MATLAB programming. 

The evolving discipline of computational pain investigation provides modern gears to recognize the pain. This discipline uses Computational processing of difficult pain associated records and relies on "intelligent Machine learning algorithms. By mining information from difficult pain associated records and generating awareness from this, facts will be simplified. Therefore, machine learning has the capability to encouragement the training and dealing of pain greatly. Indeed, the application of machine learning for pain investigation “associated non imaging problems has been mentioned in publications in scientific journals since 1940 2018. Among machine learning methods, a subset has so far been applied to pain research“related problems, SVMs, regression models, deep learning and several kinds of neural networks so far most often revealed in the pain literature. Machine learning receives increasing general interest and appears to penetrate many parts of everyday life and natural sciences. This affinity is likely to spread to pain investigation. The current review objectives to familiarize pain area professionals with the methods and current applications of machine learning in pain investigation, possibly simplifying the awareness of the methods in current and future assignments. 

Voting is the heart of a democratic country and it should be fair and square by all means .Every country in the world is spending a handsome amount on the electoral process to refine it to the next level. 

Instead of all the refinement on the electoral process there is always issues rises about the rigging in the elections. 

To counter this and to ameliorate the electoral process to next level we are proposing a system which includes a finger print scanner and GSM module. We have defined a methodology to counter all the hidden holes in the electoral process. 

by Bilal Hussain Ch | Subayyal "Web Based Electronic Voting System Using Finger Print Authentication and GSM Module" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, 

Neurological disorder is mainly concerned with the body nervous system. For most of the neurological disorders diagnostic imaging generates a particular pattern for identifying the different anomalies. Pattern Recognition which is used as tool for extracting the features from a lot of noisy data by which the different patterns are recognized by using different approaches like Template matching, Statistical, Syntactic or Structural and neural network based techniques.

This paper Reviews the different approaches of Pattern Recognition that are likely suitable for recognizing the particular pattern of the neurological disorders .All these techniques help in decision support to diagnose the treatment of illnesses.

by Mrs. Rashmi Somshekhar "Approaches of Pattern Recognition in Analysing the Neurological Disorders: A Review"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018,