Anthropometric Variables and PEFR

Peak expiratory flow rate (PEFR) varies with anthropometric variables like calendar age, body height, body weight, and body surface area in different regions. The present study aims at analyzing the relationship of PEFR with anthropometric variables to know a reference value in this region. We conducted the present study on healthy adult males aged eighteen to forty-five years engaged in works where they were un-exposed to pollutants in Patiala, India. Subgroups were made in each anthropometric variable category. PEFR recording was done using Mini Wright Peak Flow Meter. Results are expressed as mean PEFR ± standard deviation (mean ± S.D.), while the students' t-test was used to determine the differences between the means. We observed a linear increase in PEFR with all anthropometric variables. The correlation of PEFR with anthropometric variables was determined. PEFR is positively correlated with body height and body surface area (r =+0.20) and negatively correlated with calendar age (r = - 0.24) and body weight (r = - 0.02). We conclude that PEFR correlates best with body height (r = +0.48), and the result is highly significant (p < 0.01)

Machine Learning Based Remote Sensing Technique for Analysis of The Glaciated Regions

Remote Sensing has become one of the most developed technologies in the world. Its applications are wide, like it can be used in agriculture, disaster observing, water resources monitoring, environment, marine resources, forestry as well as the forest fire, coastal zone snow and glacier etc. Machine learning applications like visualisation of data are used for understanding the remote sensing data graphically. In this paper presents the method for the process of representing the remote sensing data on glaciers graphically and pictorially. The matplotlib and seaborn libraries in python are used for this process. Python is the easy programming language used for visualisation of data with its libraries NumPy, pandas, matplotlib, seaborn and plotly. These libraries are used in python for representing the data graphically. In this work, the benchmark WGI dataset on remote sensing of glaciers covered with the debris has been used. Machine learning algorithms has been proposed for classification of the glaciers that are covered with the debris

Ambient Sound Recognition using Convolutional Neural Networks

Due to its many uses in areas including voice recognition, music analysis, and security systems, sound recognition has attracted a lot of attention. Convolutional neural networks (CNNs) have become a potent tool for sound recognition, producing cutting-edge outcomes in a variety of challenges. In this study, we will look at the architecture of CNNs, several training methods used to enhance their performance, and accuracy testing. The performance of the proposed sound recognition technique has been tested using 1000 audio files from the UrbanSounds8K dataset. The accuracy results obtained by using a CNN and Support Vector Machine (SVM) models were 95.6% and 93% respectively. These results portray the efficiency of using an advanced CNN architecture with five convolution layers and a versatile dataset like Urbansoundsd8K

Hexabot for Geology data collection and Soil Science

Geology data collection and soil science are interconnected but two different field of work. As the name suggests Geology focuses on study of minerals and Formation of earths and rocks, while soil science investigate the composition and formation of soil. The escalating interest for Scientist to Explore more diverse Environment rose a issue of safety of monitoring crew and cost of expensive operators have also been taken into accounts. In such conditions Autonomous Vehicle are being assigned to perform such task such that the data is collected without having Human interventions, but at some point, these vehicle fails due to some technical failures and their adaptability with the Environment. In this paper we have researched different types of robots and proposed Hexabot for geological data collection. How technology helps to function and behave with humans and some unique technologies life can be easy. The technology used after a collision or how the robots can be prepared to survive in different parameters and various deployable techniques for the robots. Other various technologies with the help of them the robots will be easier to control by normal citizen. Enhances the capability of survival while facing any major collisions