Performance Assessment and Design of Multistoreyed Reinforced Concrete Special Moment Resisting Frames

Reinforced Concrete Special Moment Resisting Frames are used as part of seismic force resisting systems in buildings that are designed to resist earthquakes. Special proportioning and detailing requirements result in a frame capable of resisting strong earthquake shaking without significant loss of stiffness or strength. These moment resisting frames are called Special Moment Resisting Frames. The main objective of the study is the study of comparative performance of SMRF and OMRF frames, designed as per IS codes, using pushover analysis and software SAP-2002. The more realistic performance of the OMRF and SMRF building requires modeling the stiffness and strength. In this paper performance assessment of buildings designed as Special Moment Resisting Frame (SMRF) and Ordinary Moment Resisting Frame (OMRF) is studied for 4 storeyed, 8 storeyed,12 storeyed and 16 storeyed buildings with fixed support condition. The buildings are designed and modeled using SAP 2000 software. Pushover analysis is performed on these buildings and the response is monitored. A pushover curve comprising of Base Shear versus Roof Displacement is plotted for each frame using the analysis data

Detection of Epileptic Seizure Using EEG Sensor

The epileptic seizure is a disease of central nervous system. Its detection by the physical analysis of the person?s body is very difficult. So, the appropriate detection of the seizure is very crucial in diagnosis of the person with seizure. The person with epileptic seizure which affects the brain signal can be detected by analyzing the brain signals using EEG sensor. The electroencephalogram (EEG) signal is very essential in the diagnosis of epilepsy. Long-term EEG recordings of an epileptic patient contain a huge amount of EEG data. The detection of epileptic activity is, therefore, a very demanding process that needs a detailed analysis of the entire length of the EEG data, usually performed by an expert. This paper describes an automated classification of EEG signals for detecting epileptic seizures using wavelet transform and statistical analysis. The decision making process is comprised of three different stages: (1) filtering of EEG signals given as input (2) feature extraction based on wavelet transform, and (3) classification by SVM classifier. The signal from brain given as an input to EEG sensor is analyzed using MATLAB by signal processing technique

Test Case Prioritization Based on Specific Events

Event-Driven Software (EDS) system changes its state according to arrival of events for example graphical user interface and web framework. So due to there are number of events generated by users waiting in queue, this system is raise issue for testing. Until now, there are more efforts taken for testing this issue but these efforts are not collective. In this project work, our try is to give collective solution for graphical user interface and Web frameworks combined. We designed model to test graphical user interface and web application combined by using test cases prioritization. Main objective is here to deploy this model to prioritize test cases based on events. Our proposed work shows that graphical user interface and Web-based frameworks, gives same behavior even after prioritization. To test stand-alone GUI and Web-based frameworks based on shared prioritization function, and prioritization criteria’s. This generic approach is enough to study develop and test a unified theory for all kinds of Event Driven Software systems. This paper articulates all the details regarding our proposed system through following sections

DIP Based Smart Door Lock System

In this era of digital development, the requirement of efficient security parameters to safeguard privacy becomes a necessity. In this paper, an effective implementation of security is used by the means of face recognition technology and the widely used One Time Password (OTP) generated with Group Special Mobile (GSM). These technologies when used together help to protect privacy. Conventionally, the modes of security to safeguard privacy are key locks and chains. But these can be sabotaged and the desired area can be open to unauthorized members. With this system, the need for keys can be completely eliminated. This paper provides a cognitive framework to serve the purpose of security with easy utility and cost effectiveness. In order to gain access to a secured area, face recognition technique is used with the help of digital image processing to recognize and allow only authorized users, while the OTP is generated for unauthorized members who can enter this area only if they have been allowed by authorized users to do so by giving them the OTP

Critical Analysis of Clinical Document Clustering Technique with Special Reference to Non-Matrix Factorization

Clinical records containing significant prescription and side effect data, a huge number of documents are normally analyzed. A critical piece of the data in those reports contains unstructured substance, whose examination by PC assessors is difficult to be performed. We proposed a joining system for isolating medication names and sign names from clinical notes by applying Nonnegative Matrix Factorization (NMF) and multi-see NMF to bundle clinical notes into vital gatherings reliant on test incorporate networks. Our exploratory outcomes demonstrate that multi-see NMF is a best technique for clinical record bunching. In addition, we find that utilizing extricated prescription/side effect names to group clinical archives beats simply utilizing words. Bunching calculations are regularly utilized for exploratory information examination. Vast measure of information investigated

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Formulation And Evaluation Of Osmotically Controlled Drug Delivery System Of An Anti-Diabetic Drug

Saxagliptine has a relatively short elimination half-life (2.5 h), thereby requiring twice or thrice daily dosing in patients, which may lead to non-compliance. Extended release formulation of Saxagliptine based on osmotic technology was developed and evaluated. Controlled Porosity osmotic tablets of Saxagliptine were developed using Self Pore forming agent Mannitol. Prepared tablets were evaluated for their Flow property, weight variation, hardness, friability and content uniformity. Tablets were coated with a semi permeable membrane using 6% w/v cellulose acetate Phthalate (CAP) in isopropyl alcohol and Methylene chloride and Polyethylene Glycol-400 as plasticizer. Drug release rate was increased as the increase of Mannitol amount in Core Tablet. Drug release was inversely proportional to weight gain but directly proportional to the Self pore forming agent. The drug release from developed formulations was independent of pH and agitation intensity of release media. The DSC and FTIR studies demonstrated that there was no interaction between polymers and drug. The optimized formulation was stable after one months of accelerated stability studie

Design of MPA for Wireless Communication

Present day remote correspondence framework frequently requires the recieving wire to work at a few frequencies all the while. Multiband Microstrip reception apparatus has pulled in much consideration in present day remote correspondence. A few kinds of structures, for example, opening stacking, T-type space, H-space reception apparatus, diverse sorts of monopole recieving wire. Diverse sorts of stub stacking can likewise create different thunderous frequencies. An epic pentagonal structure fix has been presented in this paper acquired from the rectangular Microstrip reception apparatus (RMPA). Multiband activity can be accomplished utilizing the changed structure. The great understanding of VSWR, addition and radiation effectiveness at these full frequencies makes the reception apparatus increasingly down to earth and proficient

A Proposed Secured Prediction System for Human Diseases Using a Genetic Algorithm Approach to Data Mining

Many changes are happening in life styles of people in growing countries like India in recent days. Such changes in environment, diet, pollution and stress have led to the scenario that human beings are affected by microorganisms causing fatal diseases. In India, human diseases have become a major reason of deaths. A number of people have worked in this area to detect a particular disease, but it may happen that a person may be suffering from more than one disease at a time. Our attempt therefore is to detect the diseases a patient is suffering from with the use of detail symptoms given by a patient regarding his health status. This detection will enable him to have an appropriate treatment in time.In the health sector Data Mining techniques can be used to play a major role to detect a disease. The aim of the proposed system is to predict human diseases by using Association Rule Mining Algorithm name Apriori and generating optimized association rules using a Genetic Algorithm.

Design of MPA for Wireless Communication

Present day remote correspondence framework frequently requires the recieving wire to work at a few frequencies all the while. Multiband Microstrip reception apparatus has pulled in much consideration in present day remote correspondence. A few kinds of structures, for example, opening stacking, T-type space, H-space reception apparatus, diverse sorts of monopole recieving wire. Diverse sorts of stub stacking can likewise create different thunderous frequencies. An epic pentagonal structure fix has been presented in this paper acquired from the rectangular Microstrip reception apparatus (RMPA). Multiband activity can be accomplished utilizing the changed structure. The great understanding of VSWR, addition and radiation effectiveness at these full frequencies makes the reception apparatus increasingly down to earth and proficient