Volume 10 | Issue 4 |

 Abstract

The use of gestures as means to convey information is an important part of human communication. The hand gesture recognition are important methods for nonverbal communication for human beings. The non-verbal communication is not only used for physically challenged person but also it can be efficiently used for various applications such as 3D gaming, aviation, surveying, etc. To solve the difficulties faced by hearing impairment, it is necessary to develop a system which translates the sign language into text which can easily be recognized by the impaired people. A system is developed for hand gesture recognition in mat lab by using an artificial neural network.

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 Keywords

Gesture Recognition, Artificial Neural Network, Feature Extraction

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 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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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 Abstract

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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 Keywords

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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Keyword Extraction, Natural language processing, Text Summarization

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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Fuzzy number, arrival rate, service rate, servers

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition