AbstractThis paper presents the free vibration analysis of laminated composite stiffened plate. Recently developed Isogeometric analysis (IGA) method based on non-uniform rational B-spline basis functions (NURBS) is adopted for interpolation of the geometry as well as the field variables. Relevant formulation and a computer program for the implementation of the same is developed using Semi-Refined higher order shear deformation theory (SR-HSDT7). Some parametric study is carried out to investigate the effect of stiffener on the free vibration by changing the different parameters of plate and the stiffener.
AbstractWith a population of 1.4 billion, biomedical waste (BMW) management in India has always been a challenge, which has increased many folds during the coronavirus pandemic. BMW contains hazardous and infectious material and therefore it is important that the personnel involved in the management and disposal of BMW have adequate and up-to-date information/awareness. Collection, carriage, and final disposal of BMW is both critical and challenging at the same time. Healthcare waste contains potentially harmful microorganisms, which can infect hospital professionals, patients, health workers and the public. The Government had laid down ‘BMW (Management and Handling) Rules, in 1998’; ‘BMW (Management and Handling Rules 2011)’; ‘BMW Management Rules, 2016 and BMW (Amendment) Rules, 2018’. Several studies have highlighted that the knowledge about BMW management and its disposal is limited among the healthcare personnel and that the practice is not satisfactory in India. The exploratory research design was utilised for this study with the help of primary data collected through a questionnaire along with the information available from official websites. The present findings reveal that BMW generation has increased by 80.07%, and the workload of BMW management has increased by 72.07% along with 71.43% surge in turnover during the coronavirus pandemic. These findings are in accordance with the recent literature underscoring the urgent need for a congenial environment, with up-to-date information/awareness of BMW and implementation of proper safety regulations to protect the personnel directly involved in BMW management.
AbstractAlthough credit card transactions are already commonplace in online shopping, the increase in fraud reports highlights how difficult it is to identify and stop these illegal acts. A subfield of artificial intelligence (AI), machine learning (ML) has become a flexible solution in many different domains. The use of decision trees, naive bayes, and logistic regression for quick fraud detection is the specific focus of this study. Furthermore, it highlights the development of a web application to facilitate real-time monitoring, improving the capacity to quickly detect and deal with fraudulent activity. By incorporating these algorithms within the online platform, users are given the ability to actively monitor transactions, strengthening security protocols against fraudulent activity.
AbstractDue to AI systems incredible speed, many industries and businesses, like that of transportation, are becoming more effective. The advancements made possible by AI includes very complex computer methods that approximate ways the brain of an individual works [1]. Artificial intelligence is being applied in the transportation industry to handle challenges including the increase in traffic for passengers, emissions of carbon dioxide, safety difficulties, and damaging the environment. Due to the wealth of resources available in the contemporary digital age, it is more probable to tackle these issues successfully and productively. In the rail sector, artificial intelligence approaches such the Pollen Pre-processor, Propose Fuzzy Model, and Enquiry Analyser are being used. For AI to be used effectively, one must have a full understanding of both the relationships between AI and existing information and the characteristics and components of the mass transportation system [2]. It is also essential that mobility companies acquire the skills to use these solutions to immediately alleviate congestion, boost consumer travel time dependability, and further enhance the cost and efficiency of their priceless assets. This article provides an overall summary of the AI approaches used across the globe to solve traffic issues, particularly those related to road traffic, reduce accidents, public transit. The overviews conclusion discusses the difficulties and restrictions faced by Application domains in the transportation sector.
AbstractCurrent computer technologies and Internet without any doubt having a major impact on our day to day life, society and the approach we follow these days to conduct business. Advancements of technologies and approaches in these areas have redefined our access to information and the way we access and store multiple types of data. What people refer to today as mode of entertainment is totally changed from past it opened new course of action for the consumers and providers to conduct business on a global scale. This headway comes up with lots of major incumbency and exhibits us to consequential risks. Lawbreaker also realises that Internet related crime, that is, cyber crime like phishing, hacking, Malware, etc. provide new and safe way for them to commit crime. In the proposed work, we will take a look on the multiple issues related to computer crime from national and international perspective and discuss ethical deliberation that arise thereof.
The scientific community is giving considerable attention to making a wider hysteresis loop required for miniaturization of the magnetic devices for improving data storage capability. In this context, a review including the present state of the art of the hexagonal ferrites (HFs) and spinel ferrites (SFs) used for the data storage applications is reported. A classification scheme of ferrites useful for data storage is suggested, the magnetic properties and synthesis methods of ferrites are reviewed. A few X-ray diffraction (XRD) and vibration sample magnetometer (VSM) results on ferrites from the literature are discussed. Further, the possible directions for improving the capability of ferrites for magnetic data storage applications are reported. This review should provide a faster understanding of this area.
Every year more than 10 million lives are lost due to antimicrobial-resistant infections. Therefore, the development of antimicrobial agents has become a necessity. Natural products are being used as therapeutic agents. Antimicrobial beings are one of the most compelling molecules. Microorganisms produce bioactive compounds with antimicrobial and cytotoxic bioactivity. Fungi and bacteria are mostly used as novel antimicrobial agents. In the years 1940 & 1950 marine bacteria were shown to produce antimicrobial compounds. The first marine antibacterials were identified in the year 1960, and in the year 1970 their antibiotic properties has been reported. The majority of identified compounds were isolated from Actinobacteria & Bacilli. The interesting fact is that the molecules that were active against gram-negative were isolated from Bacilli. It is estimated at least 4-5% of the genome of any strain of the B. subtilus group is devoted to antimicrobial compounds (AMCs) production.
The sol gel technology is useful for growing of thin films on large objects of any shape, and synthesizing ceramic materials of very high purity and homogeneity, at room temperature. Though, it is a quite old technique, but recently has drawn lot of attentions, as the technique is handy for coating the interiors of the objects, and also does not require the sophisticated coating units. The Sol Gel Technology use for the fabrication of thin films of nanoporous Nickel oxide (np-NiOx), have tremendous applications in increasing the efficiency of Perovskite Solar Cells, Which are renewable source of energy. The purpose of the present paper is to provide the theoretical analysis of sol gel technology. Besides giving a brief technical review of the important recent investigations, it has also focused on the novel applications of Sol Gel Technology to improve properties of thin layer coatings including optical coatings, high transmitting coatings and high reflection coatings.
Various piperazine derivatives were synthesized by the condensation of N-arylpiperazines with O,O-diethyl chlorothiophosphate.
Almost from the last century, various environmental scientists are trying to correlate particulate matter (PM) concentrations with meteorological factors, for example, wind speed and temperature. This article tries to practically relate those with respect to popular machine learning algorithms to investigate any unusual data distribution in between those. PM concentration is dependent upon various factors, that include source of PM and meteorological factors. This article investigates the one-versus-one relation pattern of PM concentration and meteorological factors of temperature and wind speed. Concentration of PM2.5 and PM10 is collected from continuous ambient air quality monitoring station (CAAQMS) of Talchar coalfield, Odisha, India, along with wind speed and atmospheric temperature for 24 days continuously. Total five different machine learning algorithms are developed to build regression models, for example, Linear Regression, Nearest Neighbour Regression, Support Vector Regression, Decision Tree and Random Forest. The following combination of parameters is evaluated: PM2.5-Wind Speed, PM2.5-Temperature, PM10-Wind Speed and PM10-Temperature. Every one-versus-one relation is trained and tested with each of the five algorithms. In every case, linear regression fetches the best result as it produces the least root mean square error. Also, an overview, descriptive statistical analysis and graphical representation of every parameter considered are illustrated in this article. Main objective of this article is evaluating various regression analysis algorithms that represent relation between meteorological parameters and PM concentration, along with the traditionally studied linear model.
The studies related to the Concepts of Advanced Computing have been reviewed and discussed. The applications of Advanced computing in Particle Physics, Networking and Data Handling have been discussed. The facilities required for advanced computing are briefly described. Special emphasis has been placed on the role of Advanced Computing on Science and Engineering. Simulation for Optimization in Predictive Analytics, and also for maximizing the output and profit of the commerce and industry have also been briefly discussed. Design Considerations for Lattice Quantum Chromo Dynamics (QCD) have been discussed, and presented in this paper. The treatment has been based on expressing the strong interaction between quarks mediated by gluons, and considering the space-time lattice to be distributed across all of the nodes. The Lattice QCD (- D meson semileptonic decay amplitudes), as reported in the literature, has been technically discussed. Comparison between Quantum Electrodynamics (QED) and QCD has been briefly brought out. A brief description of the Simulation of large scale structures, cosmic web of dark matter filaments and halos, has also been given. The paper is expected to be useful to the new entrants in the field and also the senior Technology in the scientific fields. In particle physics the semileptonic decay of a hadron is a decay caused by the weak force in which one lepton (and the corresponding neutrino) is produced in addition to one or more hadrons. An example for this can be: K 0 → e – .
This article deals with a single-stage solar photo voltaic (SPV) array tied toward a three-phase grid by means of an improved second-order generalised integrator quadrature (ISOGI-Q)-based control algorithm to develop the power quality of the grid. The maximum point power tracking (MPPT) is achieved by using a perturb and observe method (P&O). P&O MPPT technique is efficient to extract additional power commencing an SPV array and easy. The SOGI-Q based control serves multi functionalities for example load balancing, power factor correction as well as enhanced solar power penetration addicted to a distribution network. Investigation consequences of the SOGI-Q-based control algorithm are found to be adequate in favour of enhanced power quality in conditions of load balancing, harmonics elimination with very effective power factor correction under different dynamic conditions for instance load unbalancing, variable solar insolation, distorted grid along with imbalanced grid voltage conditions. Distributed static compensator capabilities of a SPV-based system are functional to supply the active power to the load as well as surplus power to the grid.
In the present day, the artificial neural network is becoming the application of each filed. The artificial neural network is a technique or learning process, which is developed from old data sets. The artificial neural network consists of an input layer, hidden layer(s), and an output layer [1]. Artificial neural network and convolutional neural network are known as Artificial Intelligence technology. In this research work, an artificial neural network developed with a different number of hidden layers as well as nodes. The neural network used for the prediction of the permeability of soils. The percentage of fine-grained and sand used as the input parameters of the neural network. From the results of predicted permeability, it has observed that the prediction is affected by the number of hidden layers and nodes [2,3]. For the prediction of permeability, another method is used named regression analysis. The performance of the ANN model is achieved better as compared to MLR model.
