Volume 10 | Issue 4

 Abstract

Optimization of piston material using Artificial intelligence in CATIA Software performs. These algorithm based on Data collection and Simulink modelling orientated. Our work collect some material properties for different Terms and conditions than collects data performs ANOVA. Our observation Analysis of some parameters Like as MSE (Mean square error), Accuracy and Regression with our observation improve Accuracy and Reduction of Material detection Accuracy parameters.

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MSE, ANN, training algorithm, neural network layers, Different Mechanical properties

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The Right to Education has become one of the reformative legislations in the Indian education system, though it promotes the children education from the age of 6 to 14 whereas the turnout ratio of the girl children education is comparatively less. The reservation of the children in schools especially in the private school become the challenging task for the middle- and lower-income group because of the socio-economic factors which makes the children to be deprived of their fundamental Right guaranteed under Article 21 of the constitution of India. The quality education, experienced teachers, good infrastructure and implementation of the plans and policies of the legislation could be considered to be areas of concern. National Education policy is the recent development in the education system which focuses on the holistic approach of the education system but there is need to have policies and programs to make the education policy effective only when the implementation of legislation is done in the true spirit, this research focuses on various issues and the challenges in implementing the RTE Act 2009.

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Educational Development, Fundamental Right, Academic Integrity,Administration, Universalisation of education

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Abstract: . Introduction: In terms of reducing health care resource,complication,length of stay clinical pathway have proven to be simple and effective by evaluating periodically1.Majority of post craniotomy have complications due to prolonged hospital stay and mechanical ventilation2.Thirty percent of patients among post craniotomy have at-least one neurological or medical complication3. Objective of the study : To compare the outcome among patients undergone craniotomy with clinical pathway and without the clinical pathway Methodology A quasi-experimental design is used in this study with quantitative approach, study is conducted in a selected hospital of Navi Mumbai, included all the patients undergoing craniotomy surgeries and are available during study. 60 samples selected for the study, clinical care pathway was implemented on prospective group(n=30) and not implemented on retrospective group(n=30). Outcome is compared among both the groups. Results: Analysis and comparison done using in comparison of retrospective (without clinical pathway,n=30) and prospective (with clinical pathway,n=30) using independent t-test.Prospectively there was reduction in length of stay (p=0.008)and duration of definitive airway (p=0.044).Medical complications, Surgical site infection (p=0.043) and pulmonary complication (p=0.016) has significant difference and Neurological complication shows no different ,other complications (p=0.022) like bedsore,CLABSI,CAUTI and sepsis was decreased.Readmission(p=0.043) was also significantly reduced in prospective. Conclusion : Patients outcome after implementation of clinical pathway shows reduction in length of stay,complication, and readmission this will benefit the hospital ,patient and staffs.Nursing staffs will gain the knowledge regarding care of post craniotomy patient in critical care unit through this study .Only few parameters were analyzed in the study.

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Clinical care pathway,Neurology surgery,Post craniotomy ,Complications of craniotomy

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The network attacks detection become the prime security problems in the day today life. As the use of computing resources is increased, cyberpunks are planning new tactics of network attacks. Many techniques have been invented to detect these attacks which are based on data mining and machine learning approaches. Many clustering methods have been used to detect network intrusions. These intrusions detection methods have been applied on various IDS datasets. UNSW-NB15 is the newest dataset which contains different modern attack types and normal activities. In this paper, we have proposed unsupervised machine learning algorithms for anomaly based detection on reduced UNSW NB15 dataset.

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UNSW NB-15, Machine Learning, Low-High Distance, Low-High Split Clustering Algorithm.

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The Chalcogenide compounds of group V-VI-VII have attracted the minds of researchers due to their multifunctional properties. They exhibit many rare combinations of strongly coupled photoconductive, semiconductive, Pyroelectric and ferroelectric properties which have been subjects of much recent interest. SbSI is one of most extensively studies compound of this series. It is expected that introduction of impurities may lead to some constructive changes in the properties of the compound. Therefore, synthesis of doped SbSI and SbTeI was carried with solid state thermal reaction technique. Tin and Indium were the two dopants introduced in place of Antimony and Sulfur. Composition of the elements present in each of these materials was examined by EDAX. The electrical conductivities of the doped materials were compared with the pure SbSI material. The dielectric constants of the samples were calculated using the capacitance of the material.

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SbSI, SbTeI, Tin, Indium, doped material, EDAX, Dielectric Constant.

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Keyword Extraction, Natural language processing, Text Summarization

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In this paper, we propose a single transmit and multi transmit fuzzy queuing models with single and multiple servers. Here we consider the arrival rate to follow pentagonal, heptagonal fuzzy numbers. Based on that we execute the characteristic of queuing model by applying ranking technique..

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Fuzzy number, arrival rate, service rate, servers

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Today, thanks to the internet connection, the borders are disappearing and accessing information is more comfortable. Besides desktop applications, numbers of web-based applications which instant changes can be seen by all users are increasing day by day. The diversity of web-based applications that are currently used in presenting spatial information to users is also progressing. Using open source libraries, developers can develop web applications for their own purposes. Three dimensional (3D) visualization on the web is a commonly used approach in geographic information systems (GIS) applications. In this article, a 3D web application is developed using Cesium open source JavaScript library. Vector data layers containing attribute data on global, country and city scales are visualized on the web application. Development of the application was based on open source software tools such as Map Server for the GIS functions, PostgreSQL and Post GIS for the data management and HTML, PHP and JavaScript as programming languages. In addition, background processes are used in an innovative manner to handle the time consuming and computational costly procedures of the application.

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Web applications, Open-source, Geographic Information Systems (GIS), software development remote sensing, Open-source library.

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Deep learning has evolved into a powerful machine learning technology that incorporates multiple layers of features or representations of data to get cutting-edge results. Deep learning has demonstrated outstanding performance in a variety of fields, including picture classification, segmentation, and object detection. Deep learning approaches have recently made significant progress in fine-grained picture categorization, which tries to discriminate subordinate-level categories. Due to strong intra-class and low inter-class variance, this task is highly difficult. Object detection and the identification of pedestrians is critical in autonomous driving applications. In real-time applications, approaches based on Convolutional Neural Networks have shown significant increases in accuracy and decision speed. In this research, authors present various state of the art deep learning algorithms i.e., VGG-16, VGG19, DenseNet-121, InceptionV3 and customized 3 layers CNN model for object detection. Model adopted is trained and validated on self-made five class of furniture dataset. After extensive experiments, highest accuracy obtained was 99.89% with VGG-19.

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Object Detection, Object classification, Convolutional Neural Network, VGG, Confusion Matrix, Accuracy

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Smart tourist app is an AI based application. This application will help users/tourists to plan their trip smartly. It has many features that will be useful for the user/tourist to plan their trips as well as while traveling .It contains features like Location detection using GPS sensor on the basis that user will get suggestion of nearby hotels/restaurant/what are other places to visit nearby to that location and Landmark detection using image provided by user so that user will get information about that place, recommendation of nearby hotels/restaurant/places to the user so that it will more beneficial while traveling.

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Smart tourism,Ml,Recommendation,Rest Api,MongoDb,Android,web automation

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Mudra and Bandha therapy is an old effective therapy introduced by our ancient sages. Yoga mudras are symbolic gestures often practiced with the hands & fingers. Bandha means locks, joining together or to catch hold, refers to a posture in which certain organs are gripped, contracted and controlled. Yoga and Ayuerveda explains the human body is constitute of five elements vayu, agni, jala, Prutvi and akasha, balance condition of these elements keeps the person healthy. As Mudra and Bandha have prime role in maintaining health by facilitating the flow of energy from gross body to subtle body & helps to explore at physical, mental and spiritual facet of health. Hence in this article going to discuss about Mudra- Bandha therapy, classifications and benefits.

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Mudra, Bandha, Yoga theraphy.

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Facial expressions, CNN algorithm,Geometric approach

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State Bank of India, Establishment and Organization, Objectives, Customer Services offered by SBI

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Langting river, Dima Hasao district, macro-invertebrates, Diversity index, water quality

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Benzimidazoles are bicyclic compounds consists of the fusion of benzene and imidazole ring. It having many pharmacological properties like antidiabetic, anticancer, antimicrobial, analgesic, and antihistaminic. Chromatography is the method of separating mixture of components into individual components. Thin layer chromatography is a chromatographic technique used to determine purity of substance and also used to monitor the progress of reaction.

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O-Phenylenediamine, Benzimidazole, chromatography

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Writing is an integrated form of communication that can convey our thoughts. Typing and writing are standard ways to record information today. Letters or words are written in a relaxed space by marker or finger. These wearable devices can see and understand our actions.A computing process that attempts to recognize and interpret human gestures through the use of mathematical algorithms is known as gesture recognition. The project uses this gap in developing motion-to-text converter which can serve as software for smart wearable devices for writing in the air.The program will use a computer vision to track finger movement.The generated text can also be used for various purposes, such as texting, emails, etc. It will be a useful way for deaf to communicate.

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Gesture recognition , Air writing, wearable devices.

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Understandability of accounting information has been a major issue when it comes to investment decision by stakeholders. This problem may be summarized in the degree knowledge of information is understood and easily put into use to gain a high level of advantage by using the information for economic decisions which the financial report must provide to show the true position of the company through the aids of human capital diversities. However, most stakeholders do not consider this factor before committing their funds into such ventures which human capital diversity can help to achieve. The study investigated the effect of human capital diversity on faithful representation of accounting information of quoted manufacturing companies in Nigeria. The study employed survey research design. The population of the study was two thousand nine hundred and seventy employees of quoted manufacturing companies on the Nigerian Stock Exchange (NSE). Stratified and purposive sampling techniques were used and a total of six hundred and seventy (670) were distributed out of which 600 copies were properly filled and returned representing 89.55% success rate. The Cronbach Alpha reliability coefficient ranged between 0.710 and 0.972. The data were analysed using descriptive and inferential (multiple regression) l statistics. The study found that human capital diversity has significant effect on faithful representation of accounting information Adjusted R2 = 0.250; (F4, 449) = 69.6, p < 0.05). The study concluded that human capital diversity has significant effect on the understandability of accounting information of quoted manufacturing companies in Nigeria. The study recommended that all stakeholders should understand the entity and its operational activities before investing and also allow human assets to showcase their political influence, religious influence, social influence, and intellectual influence for organization to prepare and present information in a clear and easy language for stakeholders.

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Accounting Information, Human Capital Diversity, Manufacturing Companies, and Non-financial information, Understandability.

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Nutraceuticals are dietary supplements, utilized to ameliorate health, delay senescence, prevent diseases, and support the proper functioning of the human body. The world woke up in 2020 with a new virus called coronavirus 2019 (COVID-19). The virus spread easily from Wuhan, a western province in China to the whole world and caused a pandemic situation. Our body is always exposed to mysterious invaders which can cause diseases and infections. The immune system enables to keep these contagious microorganisms at bay and protects our body depending on the strength of immune system. The nutrients like vitamins, minerals, fatty acids, amino acids etc. play a significant role in the host immunity. Moringa is a miracle tree whose leaves are rich in number of vital components that improves the body immunity. Aloe vera is one of the most important medicinal agents in various alternative systems of medical scientific studies have shown that Aloe vera has anti-inflammatory, anti-oxidative, immunomodulatory and bronchodilator. These two herbal plant can boost the immunity of healthy and sick patients, thereby giving a protection against covid-19. So, this review covers all the information about to improve immune response in covid-19 viral infection by the use of herbal plant like Moringa olifera and Aloe vera.

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Covid 19, Immunity booster, Nutraceutical, Moringa olifera, Aloe vera.

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Recent developments in the field of computer vision and object detection have allowed for an increased interest in the concept of image caption generation. Various researchers have worked on this topic and have produced impressive results. In this paper, we discuss the latest techniques used for the generation of captions from any given input image. The paper elaborates on the latest approach towards solving the problem of caption generation, namely by focusing on the use of a Convolutional Neural Networks (CNN) based model for feature extraction and a Long-Short Term Memory (LSTM) based Recurrent Neural Network model for generating meaningful captions. Furthermore, the existence of huge datasets like Flickr30k , Kaggle and MS COCO, along with greater computational power, allow for increased accuracy in the built models.

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Computer Vision ,Object Detection Convolutional Neural Network (CNN) , Recurrent Neural Network (RNN) , Long Short Term Memory (LSTM) .

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Internet has become a more powerful and essential tool for the needs of each person and their way of working by integrating various online management tools on the Internet, innovative companies have established Payment system for receiving customer orders, enabling payments, customer service, debt collection marketing data or online reviews. These activities are collectively referred to as electronic commerce or Internet commerce. Online shopping so easy for everyone with your product Variations and easy way to buy things. Attempts have been made to question various Business and enterprise level strategies of two major online retailers i.e., Flipkart and Amazon. The comparison was made taking into account the challenges of electronic commerce, its business model, its financing, Income generation, growth, survival strategies, buyers' online shopping experience, added value differentiation and product offering. These two great players have made their mark in India, but who is it? Will be the final winner or the best. A comparative study of Flipkart.com with One of the close competitors Amazon.com provides the information on the different strategies Success in the E-Commerce market and various opportunities in India.

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Amazon, Flipkart, Internet, Online shopping

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