Volume 10 | Issue 6 |

 Abstract

The tribal population is identified as the aboriginal inhabitants of our Country particularly in Odisha. PVTGs are more vulnerable among the tribal groups. They have declining or stagnant population, low level of literacy, pre-agricultural level of technology and are economically backward. They generally inhabit remote localities having poor infrastructure and administrative support. They are most vulnerable section of our society living in natural and unpolluted surrounding far away from civilization with their traditional values, customs and beliefs. Among the hundreds of Tribal Communities living across the length and breadth of the Country, there are some groups who are relatively more isolated, archaic, vulnerable, deprived and backward. They have been identified and designated as Particularly Vulnerable Tribal Groups (PVTGs) for the purpose of receiving special attention for protection against exploitation and for their development. The purpose of the present study is to describe Socio-Economic and Cultural life of Juangs in Keonjhar district of Odisha. The design of the proposed study is descriptive in nature.

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 Keywords

Socio-Economic, Cultural Life, Development, Changes, PVTG, Juangs

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Global health which denotes equitable access to healthcare, particularly in remote-rural- developing regions, is characterized by unique challenges of affordability, accessibility, and availability for which one of the most promising technological interventions that is emerging is the Internet of Things (IoT) based remote health monitoring. We present an IoT based smart edge system for remote health monitoring, in which wearable vital sensors transmit data into two novel software engines, namely Rapid Active Summarization for effective Prognosis (RASPRO) and Criticality Measure Index (CMI) alerts, both of which we have implemented in the IoT smart edge. RASPRO transforms voluminous sensor data into clinically meaningful summaries called Personalized Health Motifs (PHMs). The CMI alerts engine computes an aggregate criticality score. Our IoT smart edge employs a risk-stratified protocol consisting of rapid guaranteed push of alerts & PHMs directly to the physicians, and best effort pull of detailed data-on- demand (DD-on-D) through the cloud. We have carried out both clinical validation and performance evaluation of our smart edge system. The clinical validation of patients demonstrated that the IoT smart edge is highly effective in remote monitoring.

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HEART BEAT READINGS IN CLOUD,HEART BEAT SENSOR

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In this research, Cement composites have become an inevitable part of construction industry. Concrete is the most utilized material on earth next to the water. With the advent of urbanization and increase in infrastructure activities, consumption of cement concrete has escalated. The production process of one ton of cement emits about 0.7 tons of carbon dioxide into atmosphere. The emitted carbon dioxide will lead to the greenhouse effect causing global warming. This turns affect the rainfall pattern, melting ice caps, and rise in sea levels. Hence there is a need to mitigate the use of cement and make development sustainable. The entire construction world is in search of a suitable and effective the waste product that would considerably minimize the use of cement and ultimately reduces the construction cost. Few of such products have been identified like eucalyptus ash and agave ash etc. Thereby, the mechanical properties such as compressive strength, split-tensile strength were determined for M25 grade concrete and by varying percentage of ash content from 10%, 15% and 20% by Cement is replaced by EUCALYPTUS ASH AND AGAVE ASH. Here the 10% of cement is replaced with 7.5% of eucalyptus ash and 2.5% agave ash. Similarly, in the next 15% and 30% of sement was replaced. The mechanical properties such as compressive strength with % ashes were compared with conventional concrete properties of M25 grade. From the results it is observed that increasing % of ash in concrete increases the compressive strength of concrete.

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 Keywords

Cement, Sand, Water, Eucalyptus ash, Agave ash, Compressive Strength.

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 Abstract

As the population rises, so does the need for land and the infrastructure that goes with it. Furthermore, architectural considerations dictate differences in the vertical parts of the structure across levels, as well as the introduction of transfer floor constructions that supply all services in one area while also supporting the vertical and lateral load systems and transfers. According to the current study, three 12-story models were built using ETABS software with transfer slabs on the first, third, and fifth floors, and the response spectrum analysis was performed and the findings were compared to reach a conclusion.

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 Keywords

Transfer floor, Seismic load, Lateral & Vertical load, response spectrum analysis.

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 Abstract

The act of attempting to anticipate the future value of a business stock or other financial instrument traded on an exchange is known as stock market prediction. A successful forecast of a stock's future price could result in a large profit. The factors that generally considers to predict the stock price are open, close, low, high, volume etc. The main objective of this project is to build a Machine learning model that will help to predict the future value of a company's stock. For Building this model we can use different Machine learning algorithms like SVM, naive Bayes, random forest and linear regression etc. Here in this project, as the stock market is volatile in nature, it will be effective if we build the model using LSTM. This LSTM is able to store the past information, which is very important in our project, because the previous price of stock is crucial in predicting its future price. Here the LSTM is an artificial recurrent neural network used in the field of Deep learning. For building this model we are using a well labelled dataset.

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 Keywords

Machine learning, Deep learning, SVM, Naive Bayes, Random Forest, Linear Regression, LSTM.

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 Abstract

Holograms are as same as photographic images or videos which also stores phase of the light which gets reflected from the object beam. These holograms are initially used to store the 3D photographs as a trademark such as a hologram at the back of a Debit/Credit card etc. The initial development of holograms involved basic optical physics which later expanded to computational imaging as occlusion is quite low which imbalances background or edge parts of images. Hence, different approaches are being made in recent studies to improve the computational power of developing a hologram. The initial techniques which were used are point-based, which captures the high resolution images and calculates the RGB-D values at each pixel, render those values and project through Spatial light modulators (SLM) or Digital Micro-mirror Devices. If the data is more or images are more, the frames per pixel increase which make the rendering harder. So different deep learning techniques are used which initially train the RGB-D images to create a holographic image of an object. The development of this technique has started in 2020 and researchers are continuing to optimize the approach. This work aims to present the different approaches used to create a holographic images using deep learning techniques.

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 Keywords

Hologram, Reflection, Convolutional Neural Network(CNN), Computer-generated holograph (CGH)

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The number of vehicles on the road has increased dramatically in recent years, resulting in an increase in the risk of accidents. To address this issue and make driving more fun and comfortable, a new technology based on Mobile Ad-hoc Wireless Network Infrastructure (MANET) has emerged. This kind of technology is called Vehicular Ad-hoc Networks (VANETs). It enables vehicles to interact with one another or with infrastructure in order to share various types of information and warning signals. Prior to actual implementation, simulation is one of the most effective alternatives for testing an approach on a machine to avoid potential dangers, realise the experiment results and behaviour in the real world. For a smooth simulation of a VANET, the simulation environment included both a network and traffic simulator.This study tries to focus at the simulation tools that are available for the VANET environment. This research uncovers the advantages and disadvantages of simulators, as well as their popularity. This study will assist researchers in selecting appropriate simulating tools based on their needs.

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 Keywords

Network simulators, Routing Protocols, Simulation, VANET, Vehicular Mobility Generators.

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 Abstract

A definitive diagnosis of a brain tumour is essential for enhancing treatment success and patient survival. However, it is difficult to manually evaluate multiple magnetic resonance imaging (MRI) images generated in a clinic. Therefore, more precise computer-based tumour detection methods are required. In recent years, many efforts have investigated on classical machine learning methods to automate this process. Deep learning techniques have recently sparked interest as a means of diagnosing brain tumours more accurately and robustly. The goal of this project is to analyse the medical test data set, which includes the whole Blood picture test results as well as the tests listed above, using QDA classification and Gaussian process classification methods. In addition, the tumour size in an MRI picture is estimated using Python's Pillow. The project comprises of four modules. The first module deals with adding the Complete Blood Picture test results and other test results to the database. The Gaussian Processes Classifier is a classification machine learning algorithm.Gaussian Processes are a generalization of the Gaussian probability distribution and can be used as the basis for sophisticated non-parametric machine learning algorithms for binary classification tasks and regression.

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"Brain tumor detection and classification using quadratic determinant analysis"

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 Abstract

The study was designed to find out the effect of selected familial factors on the academic achievement of school children. The sample comprised of 120 children of IX and X standards drawn purposively from ten schools, recognized by the State Education Board, Andhra Pradesh and distributed across the different zones of the Hyderabad city. The parents of the children too formed the sample of the study. Interview schedules for the children and separate questionnaires for the parents were developed and administered to the respondents. The data analysed using frequency distributions and correlation analysis. The results indicated that the parental factors, namely father's occupation and parental contributions were found to have significant effect on academic achievement of children.

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 Keywords

academic achievement, school children, familial factors

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Yoga is the art of living. It is all things to all people. It is about getting to know yourself. Integrating the many aspects of ourselves and putting us in control of our minds; the effects are holistic, bringing about health awareness and a change of attitude towards ourselves and the world around us. The work yoga is derived from the roots of Sanskrit `Yuj' which means to join, to attach, to bind, and yoke, and to concentrate on one's attention. Menhaden Desai, says in his introduction to the Gait and according to Gandhi, the yoking of all the powers of body, the mind, the emotion, the will which the yoga presupposes, it means pose of the soul which enables one to look at life in all its aspect evenly. Stress is defined as a response to a demand that is placed upon you. Stress in a normal reaction when your brain recognizes a threat. When the threat is perceived, your body releases hormones that activate your "fight or flight" response. The study was significant in determining different training schedules for school students. The study was significant in assessing the stress of secondary school students. The study would be limited to 20 girls 20 boys, of secondary school children's of Raichur District. Among that 10 girls and 10 boys are control group and experimental groups.

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 Keywords

Yoga, Stress, Children

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