Multi-objective optimization of carbon/glass hybrid composites with newly developed resin (NDR) using gray relational analysis

Purpose: It is seen that little amount of work on optimization of mechanical properties taking into consideration the combined effect of design variables such as stacking angle, stacking sequence, different resins and thickness of composite laminates has been carried out. The focus of this research work is on the optimization of the design variables like stacking angle, stacking sequence, different resins and thickness of composite laminates which affect the mechanical properties of hybrid composites. For this purpose, the Taguchi technique and the method of gray relational analysis (GRA) are used to identify the optimum combination of design variables. In this case, the effect of the abovementioned design variables, particularly of the newly developed resin (NDR) on mechanical properties of hybrid composites has been investigated. Design/methodology/approach: The Taguchi method is used for design of experiments and with gray relational grade (GRG) approach, the optimization is done. Findings: From the experimental analysis and optimization study, it was seen that the NDR gives excellent bonding strength of fibers resulting in enhanced mechanical properties of hybrid composite laminates. With the GRA method, the initial setting (A3B2C4D2) was having GRG 0.866. It was increased by using a new optimum combination (A2B2C4D1) to 0.878. It means that there is an increment in the grade by 1.366%. Therefore, using the GRA approach of analysis, design variables have been successfully optimized to achieve enhanced mechanical properties of hybrid composite laminates. Originality/value: This is an original research work

CAD/FEA Tools and the Analysis of Design for Optimization

A thesis presented to the faculty of the College of Science and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Patil Yogesh on October 21, 2006

First report of Pink Disease of Ficus benghalensis L. caused by Erythricium salmonicolor (Berk. & Broome) Burds. (Corticiaceae) from India.

ABSTRACT: Erythricium salmonicolor (Berk. & Broome) Burds. causes a canker and die-back disease, commonly known as pink disease, on many tree species. During the field survey, typical symptoms of pink disease were observed on the dead branches of Ficus benghalensis L. trees. The pathogen isolated from host tree and identified as Erythricium salmonicolor (Berk. & Broome) Burds. was confirmed on the basis of macro-micro morphological analysis. To our knowledge, this is First report of Pink Disease of Ficus benghalensis L. caused by Erythricium salmonicolor (Berk. & Broome) Burds. from India

First report of Pink Disease of Ficus benghalensis L. caused by Erythricium salmonicolor (Berk. & Broome) Burds. (Corticiaceae) from India.

ABSTRACT: Erythricium salmonicolor (Berk. & Broome) Burds. causes a canker and die-back disease, commonly known as pink disease, on many tree species. During the field survey, typical symptoms of pink disease were observed on the dead branches of Ficus benghalensis L. trees. The pathogen isolated from host tree and identified as Erythricium salmonicolor (Berk. & Broome) Burds. was confirmed on the basis of macro-micro morphological analysis. To our knowledge, this is First report of Pink Disease of Ficus benghalensis L. caused by Erythricium salmonicolor (Berk. & Broome) Burds. from India

Big Data Analysis on COVID-19

Over the past 2 years, the Coronavirus has rapidly spread to all parts of the world. Scientist and researchers are continuing their research to find a permanent cure. As the number of cases are increasing, so the tests are for Coronavirus is increasing rapidly, it is impossible to maintain data of test due to the time and cost factors. Big data is very helpful to maintain the track record of the COVID-19 infected patients in a very systematic way and will reduce the time delay for the results of the medical tests and modulate doctors to give proper medical treatment to the infected person. Big data analytics play an important role in building knowledge, studies required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling and tracking the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis. Keywords-big data analytics, 2019 novel coronavirus disease (COVID-19)

Review on Big Data Analysis on COVID-19

Big data analytics is in transforming stage and it will continue to grow and contribute in different area like health. In recent past we have been gone through biggest health issue of the century and it taught us a lesson that in this modern world, technology with relevant data can help to us reduce any human challenge. COVID 19 is that health issue which we faced and suffered a lot. Big data provided us a platform which help us to create an accurate and most trusted data base to analyze, track and tackle this situation. Big data provides an elaborate set of attributes, details of infected patient in very explanatory

Data Sharing using BFID Encryption for Privacy Preseration of Data in Cloud

The most important functionality in cloud storage is data sharing. With the advent of cloud computing [1], data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy and integrity, sensitive data have to be encrypted before outsourcing, which causes the need of traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance.Typically cloud computing is a combination of computing recourses accessible via internet. Historically the client or organizations store data in data centers with firewall and various security techniques used to protect data against intrudes to access the data. Since the data was contained to data centers in limits of organisation, the control over the data was more and well defined procedures could be used for accessing its own data. Howeverin cloud computing, since the data is stored anywhere across the world, the client organizations have less control over the stored data.Identity-Based Encryption (IBE) which is used to simplifies the public key and certificate management at Public Key Infrastructure (PKI) is an important alternative to public key encryption. Identity-based encryption (IBE) is an important aspect of ID-based cryptography. As such it is a type of public-key encryption in which the public key of a user is provides unique information about the identity of the user (e.g. a user's Identification). This can use the text-value of the name or domain name as a key or the physical IP address it translates to

OVERVIEW ON METHODS OF SYNTHESIS OF NANOPARTICLES

In recent years, interest in the development of novel drug delivery systems using nanoparticles has gained more attention. The nanoparticles offer several advantages over other conventional drug delivery systems. Nanoparticles have gained importance in technological advancements due to their modifiable physical, chemical and biological properties with improved performance over their bulk foils. Nanoparticles can simply move in the body due to their small size and reach very complex organs through diverse routes. The high stability, controlled drug release makes nanoparticles the most suitable drug delivery system. Along with all these advantages, they offer variety in routes of administration. Both hydrophilic, as well as hydrophobic drugs, can be delivered in the form of nanoparticles. Nanoparticles have been used as a physical approach to modify and advance the pharmacokinetics and pharmacodynamics possessions of various types of drug molecules. Thesol-gel technique is a stress-free and very inexpensive process to formulate metal oxides and permits control over the doping process or adding of transition metals, as related to other research techniques. The study of different methods of synthesis of nanoparticles is essential to obtain desired nanoparticles with specific sizes and shapes. They are suitable candidates for various marketable and local applications, which include imaging, catalysis medical applications and environmental applications. This review mainly focuses on approaches used for the production of nanoparticles and different methods of synthesis of nanoparticles such as physical, chemical and biological method