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

Impact Of Data Visualization In Data Analysis To Improve The Efficiency Of Machine Learning Models

An essential component of machine learning is data visualization, which helps analysts comprehend and interpret patterns, connections, and trends in data. Data visualization is a crucial aspect of machine learning that enables analysts to understand and make sense of data patterns, relationships, and trends. Through data visualization, insights and patterns in data can be easily interpreted. This research paper explores the significant impact of data visualization on the efficiency of machine learning (ML) models during the data analysis phase. Data visualization serves as a powerful tool for data scientists and ML practitioners by offering intuitive insights into complex datasets, facilitating a deeper understanding of the underlying data characteristics, and guiding the decision-making process in model development. The visual techniques enhance various aspects of the data analysis phase, including exploratory data analysis (EDA), feature selection and engineering, anomaly detection, and assumption validation, ultimately leading to the development of more accurate and efficient machine learning models

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

Challenges to Legal Protection of Third Gender Individuals

As society becomes more inclusive and acknowledges the diverse identities of individuals, it is crucial that legal systems recognize and respect the rights of individuals who do not neatly fit into traditional binary gender categories. Many countries worldwide have taken significant steps towards recognizing the legal rights of individuals who identify as a third gender or non-binary. International human rights standards, including the Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and the Yogyakarta Principles, emphasize the fundamental principles of equality, non-discrimination, and respect for the inherent dignity of every individual. These standards provide a solid foundation for affirming the rights of individuals to self-identify their gender and be legally recognized accordingly. Legal recognition of a third gender ensures that individuals are not forced to conform to gender norms that do not align with their identity. It allows them to live authentic lives, free from discrimination, and fully participate in society on an equal footing. Furthermore, legal recognition ensures access to essential services such as healthcare, education, employment, and social security, which should be available to all individuals without any form of discrimination. Several countries have already taken progressive steps towards recognizing a third gender. Germany, Australia, India, Nepal, Canada, and Argentina are some examples of nations that have implemented legislation or court rulings to legally recognize individuals who identify outside the traditional gender binary.By embracing legal recognition of a third gender, we demonstrate our commitment to upholding fundamental human rights and fostering inclusive societies. It is an opportunity to create a more just and equitable environment where all individuals can exercise their rights and contribute to the betterment of our communities. I kindly urge you to consider supporting and advocating for the legal recognition of a third gender in line with international human rights standards. This can be achieved through legislative reforms, policy changes, and public awareness campaigns that promote equality and respect for individuals of all gender identities. The concept of a third gender refers to individuals who do not identify as exclusively male or female but rather as a gender beyond the binary. This paper examines the legal landscape surrounding the recognition and rights of third gender individuals, analyzes the obstacles they encounter within legal frameworks, and proposes potential strategies to overcome these challenges

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

Performance of the CMS Cathode Strip Chambers with Cosmic Rays

The Cathode Strip Chambers (CSCs) constitute the primary muon tracking device in the CMS endcaps. Their performance has been evaluated using data taken during a cosmic ray run in fall 2008. Measured noise levels are low, with the number of noisy channels well below 1%. Coordinate resolution was measured for all types of chambers, and fall in the range 47 microns to 243 microns. The efficiencies for local charged track triggers, for hit and for segments reconstruction were measured, and are above 99%. The timing resolution per layer is approximately 5 ns