International Research Journal on Advanced Science Hub

In recent years, numerous advancements occurred in the renewable energy sector. One of the promising area where usage of solar energy has been implemented is the solar-powered boat. Solar powered boat or all electric boat brings the opportunity to decrease greenhouse emissions and shift towards utilization of renewable and sustainable energy. In this paper the research work carried out regarding the design for deployment of solar energy on boat has been presented.

The main objective of this article is to study the thermal and structural performance of piston using finite element based commercial software ANSYS. Piston is modelled using SOLIDWORKS and analysis would be performed through ANSYS workbench. Optimization analysis has been performed considering three different materials such as Grey Cast iron, structural steel and aluminium alloy because these three material have good compression strength and their thermal conductivity and density will different  for each one. For the same amount of pressure Aluminium alloy has shown maximum deformation and equivalent strain, where von misses stress value is minimum for it. Whereas, Structural steel and Grey cast iron shows deformation and strain values less than that of Aluminium alloy for same pressure load. Aluminium alloy has highest heat flux and lowest temperature on piston head under thermal load. Piston receives thermal energy generated via combustion and higher heat flux ensures quick cooling of component by quick drainage of thermal energy. Grey cast iron and Structural steel has half of the value of heat flux to that of Aluminium alloy. Therefore, Aluminium alloy is the preferable material for the design of automobile piston among the given three materials.

Hemisphericity refers to a preference for using one hemisphere of the brain over the other hemisphere to have stronger control over some functions of the mind and body. The Present study investigated the Brain Hemisphericity of Higher Secondary school students in Chennai. Survey method has been used and Stratified Random Sampling technique was adopted.  To achieve the purpose of the study, a sample of 550 Higher Secondary School Students were selected. The study reveals that there is a significant difference between Brain Hemisphericity with respect to their Management of School. 

Energy is important in part of life and life cannot imaging without electricity. Due to environmental pollution, traditional thermal energy such as coal, oil power stations are planned to be reduced. Considering the demand, lot of research is started on renewable energy for commercial as well home applications. When it comes to renewable energy, solar energy is easier to harvest when compared to renewable energy. In this study, a different source of energy is studied and depth study related to solar energy. It is discussed how the energy is created from the source, SUN. Method of harvesting solar energy and different kind of solar panels are discussed. There is also a comparison for each panel and special features of each kind of panel are discussed.

Machine Learning is defined as nothing but as like humans learn from their experience likewise machine learns from experience. Here experience is nothing but the training and testing the machine with the. There are many techniques are available to train and test the system like Data Mining algorithms, Machine Learning Algorithms and Deep Learning Algorithms. It is not that all the algorithms will provide better results. Also there are many kinds of datasets is available. In this paper, the main focus is on Medical Dataset which requires more attention nowadays. And the algorithm we focus is on Machine Learning which contains different classification algorithms. Applying all the classification algorithms to the dataset and finding the best algorithm for the medical dataset with the highest accuracy. We have trained the dataset using seven classification algorithms called Naive Bayes, Random Forest, Support Vector Machine, Decision Tree, KNN, KSVM. After the implementation of each algorithm, we came up with a conclusion that Random Forest is the best algorithm for medical dataset which gives 100%accuracy among these seven Classification algorithms.

High tensions within states or across borders are quite common nowadays. Protection of human resources i.e., soldiers is as important as the protection of national resources. It is a visible fact that the causality rate among the defense forces during a crisis is relatively higher. That is the reason why a majority of Governmental organizations of various nations are stressing the concepts of Automation. ROV or Remotely Operated Vehicle, a concept of automation, is playing a very vital role in almost all the advancements in this technologically developed society. Present work, one complete Armored Safety Vehicle (ASV) was designed with more featured to accommodate sensors for detection and coding are developed o detect the weapon using the image processing techniques. There is a special wheel design is introduced which is safe for easy and quick movement of a vehicle. From commercial vehicles to exploring the deepest trenches, ROV’s have been a substantial tool for developmental prospects. It was tested for one image file and worked well. It is integrated with Machine Learning and image processing concepts to automatically come up with solutions based on the inputs. These concepts when used in defense vehicles not only increase efficiency but also reduces the casualty rate during a crisis.

Big Data comprises both structured and unstructured data collected from various sources. For collecting, managing, storing and analyzing the large dataset, an efficient tool is required. Hadoop is an open source framework which processes large dataset and MapReduce in Hadoop is an effective programming model reduces the computation time of large scale database in a distributed architecture. A machine and deep learning algorithm based on MapReduce implemented in huge dataset will reduce processing time. This paper aims to study various MapReduce based model and algorithms to analyze huge data. Also, predicts the way of implementing algorithms in MapReduce to reduce the computing time.

In this article, we evaluate and discuss the implications of data analytics and Hadoop on clinical image analysis based on predictive algorithms. Each day, the healthcare industry analyses massive amounts of data. A large number of images were produced by various instruments on the patient in various medical situations. Numerous image processing methods and techniques are being developed in an attempt to obtain the most accurate information from images in order to provide an accurate diagnosis. To achieve maximum performance, both current and constantly evolving big data and hadoop ideas may provide more from image processing. The article examines the importance of big data analytics and hadoop in medical image processing utilizing HIPI and Map reduction inside the future implementation of Big data analytics (BDA) and Map reduction.

A progressive press tool used for different types of sheet metal operation in a single stroke. All operations may be shared or both shearing and non-shearing operation. This press tool design for a single row one pass layout. Scrap strip layout design categorized into three essential stages, namely – piercing, piloting and blanking. To stop forwarding one stage to another pitch punch method were used. Raw material is used in small segment form and strip is manually fed. This project aimed that each stage stopping position was removed like primary, secondary and final stage with the help of pitch punch method, rear and face strip guide and also used insert based die plate. Die block is EN8 steel and material of insert is tool steel. Square washer was used for automobile, construction and aircraft industry. It also enables distribution of load and gyration persistently opposed. “In this project, utilization of three-dimensional computer aided design software specifically SOLIDWORKS for press tool elements designed”. Auto CAD for scrap striped layout and ANSYS for tool element analysis