Volume 10 Issue 5

Analysis and Prediction of Crime Detection Techniques Using Machine Learning Approach

Authors – Sameeksha Bhati, Assistant Professor Priyanshu Dhameniya

Abstract- – The field of study known as machine learning examines how machines can learn to act autonomously. Self-driving cars, speech recognition, web search, and a deeper understanding of the human genome are just a few of the recent applications of machine learning. In addition, it has made it possible to make crime forecasts using historical data. Using nominal class labels, classification is a supervised prediction method. Weather forecasting, medical care, banking, homeland security, and corporate intelligence are just few of the numerous fields that have benefited from classification [6]. Data gathering, classification, pattern recognition, prediction, and visualization are typical steps in a machine learning-based approach to analyzing criminal behavior. Association analysis, classification and prediction, cluster analysis, and outlier analysis are examples of classic data mining methods that focus on structured data; newer methods can also extract useful insights from unstructured data.

Analysis Of Symptoms And Severe Outcomes Of Covid-19

Authors – Kavita Sheoran, Geetika Dhand, Shaily Malik, Nishtha Jatana

Abstract- – An outbreak of pneumonia, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) commonly known as COVID-19 started in Wuhan, China, in December 2019 has become a global pandemic. It has many similarities with Severe Acute Respiratory Syndrome Coronavirus(SARS-CoV) and Middle East Respiratory Syndrome Coronavirus (MERS).In this paper, analysis of severe complications observed in other organs is done. Comparison of immune response, various symptoms, general advisory and recovery status of patients in India is also observed.

The Role of Imaging Modalities in Lung Cancer Treatment

Authors – Research Scholar V.Juliet Rani , Asst. Prof. Dr. K.K.Thanammal

Abstract- – Lung cancer is the most deadly disease in the world. This paper overviews one of the most important and challenging problems in oncology, the problem of lung cancer diagnosis using computer information system. Lung cancer is the dangerous disease that is being spread all over the world. Developing an effective computer-aided diagnosis (CAD) system for lung cancer is of great clinical importance. An effective CAD system can diagnose the lung cancer in an accurate manner. CAD systems for lung cancer have been explored in a huge number of research studies. A typical CAD system for lung cancer diagnosis is composed of four main processing steps: segmentation of the lung fields, detection of nodules inside the lung fields, segmentation of the detected nodules, and diagnosis of the nodules as benign or malignant. In order to accomplish the above four steps we must have the appropriate imaging modalities.

Design and Thermal Analysis of Double Pipe Heat Exchanger by Changing Mass Flow Rate

Authors – M.Tech. Scholar Naveen Kumar, Prof. Abhishek Bhandari

Abstract- – Heat exchangers are employed in a variety of applications, included power plants, nuclear reactors in energy production, RAC systems, self-propelled industries, food industries, heat retrieval systems, & chemical handling. The techniques of upgrading can be divided into two categories: active and passive ways. The active approach necessitates the use of peripheral forces. Discrete surface geometries are required for passive approaches. These strategies are commonly utilized to increase heat exchanger performance. Helical tubes have already been designated as among the passive heat transfer enhancement materials. Due the short construction and high heat transfer coefficient, and they will be widely employed in various industrial applications. The thermo-hydraulic performance of various configurations of gas- to-liquid double-pipe heat exchangers featuring helical fins was investigated that used a computational model based on CFD. The heat transmission, pressure drop, unit weight, and overall performance of helical or longitudinal fin configurations studied numerically simulated and the results. The effects of increasing the number of fins and Reynolds number on thermo-hydraulic performance also were investigated

Total Harmonics Distortion Performance Analysis between Micro-Inverter and Single Phase Inverter Photovoltaic Systems

Authors – Sonali Mathur, Assistant Professor Mukesh Kumar

Abstract- – Before the direct current (DC) input voltage can be turned into alternating current (AC), each of the current topologies of solar micro inverters uses a number of steps. One or more power converters could be built into each of these stages. A transformer, a filter, and a diode rectifier might also be in it. There are a very large number of both active and passive parts. In the scope of this thesis, a brand-new architecture for a solar micro inverter is made. This new micro inverter is made up of a new single switch inverter, which is made by changing the single ended primary inductor DC-DC converter that was already there. This new inverter can take DC power and turn it into a clean sinusoidal waveform. A lot of research is being done on how the new inverter is built and how it works. With the help of a controller, this new inverter can make almost any kind of output waveform. The inverter was found to be able to work in a total of four different ways. The new inverter was designed using a modelling method called “state space averaging.” Due to the switching that is built into the circuit, the system is a non-linear fourth order system. This makes the system not follow a straight line. Before the system can be looked at as a linear system, it must be linearized around a certain point. It has been found that the inverter’s control-to-output transfer function does not have a minimum phase. To find out about transfer functions, the root locus method is used. From the point of view of control, the presence of right half zero makes it harder to build the structure of the controller. The cell equations are used to make a model of the photovoltaic (PV) cell in MATLAB. The maximum power point tracking (MPPT) method is used to make sure that the PV cell’s output power is always at its highest level. This lets the power from the PV cell be used to its fullest potential. The easiest way to solve this problem is to change something and then watch what happens. When you use this new inverter, you don’t need the different phases that a traditional solar micro inverter needs. The proposed design of the inverter was confirmed by both simulation and the results of experiments done on the set-up.

Remote Substation Monitoring in a Distribution Power Grid

Authors – M. Tech. Scholar Jasti Raja, Prof. Katragadda Swarnasri, Asst. Prof. Ponnam Venkata K Babu

Abstract- – Monitoring and control of distribution transformers is desired by any distribution utility company in view of many reasons. Distribution transformers are located in remote places in order to supply power to few categories. In order to provide good and reliable power automation has become an essential part in the distribution network. Monitoring and controlling essentially require the data from the grid, analysis of the data and controlling the devices on the network on the basis of evaluated results. Objective of this paper is to design the cost effective model for monitoring the remote electrical parameters like voltage, current, temperature of a transformer and send these real time values over network to a remotely located substation or a device. This system can automatically update the real time electrical parameters periodically (based on time settings). This system can be designed to send alerts whenever the relay trips or whenever the voltage or current exceeds the predefined limits. This experimental setup is a prototype of the proposed project, for demonstration purpose we have used Arduino and Raspberry Pi here. The controller can efficiently communicate with the different sensors being used by detecting the abnormal operating conditions.

A Survey on Image Water Marking Techniques and Attacks

Authors – Dilesh Khairwar, Asst. Prof. Sumit Sharma

Abstract- – Digital information may be transferred from one location to another with the least amount of difficulty than any other media. Text, music, video, and image data, among other types of data, can all be transferred using the same media and the same methods. However, certain precautions have been made by the owner of the data by embedding some signature or validating information at the receiver end. The security of these data is greatly dependent on the protocols. This article does a comprehensive review of several approaches to the protection of digital image data that have been offered by researchers. In the study, signature embedding techniques and their attributes were broken down in detail in order to better the reader’s grasp of the subject field. In this research, different network assaults that may have an effect on the data that was received were also elaborated upon. The study also provided an explanation of the various aspects that researchers make use of to secure digital data. This is because each feature has its own significance and area of use that varies according to the type of image and the attacks that are being made.