IJSRET Volume 7 Issue 5, Sept-Oct-2021

Comparative Analysis of Balancing Methods for Classifying Imbalanced Data
Authors:- Himani Tiwari, Dr. Sheetal Rathi

Abstract- The classification of data with unbalanced class distribution encounters the significant shortcomings of the performance that most standard classification learning algorithms can achieve. These algorithms assume that the class distribution is relatively balanced and the cost of pre-classification is the same. This article reviews the classification of unbalanced data: areas of application; the nature of the problem; learning difficulties with standard classification learning algorithms; learning objectives and evaluation measures; reported research solutions and class imbalance problems when there are multiple classes.

Enhancement of Hybrid Power Generation System with VSC Based Power Compensation in Faulty Conditioning
Authors:- Shailendra lodhi, Chandra Shekhar Sharma

Abstract- In today’s technological world, electricity is one of the most important aspects of our daily life. Since we are all unaware of the fact that renewable energy sources are depleting as fast as lightning. It is therefore time for us to remove the common focus from unconventional energy sources to generate electricity. The output of electricity generated by non-standard sources is less than their counterparts. Renewable sources have no negative effects on the environment. The Solar-wind hybrid system is basically a combination of a solar plant and a wind power plant. It will help to provide uninterrupted electricity supply. As in bad weather the product can be moved from one plant to another with the help of a VSC power compensator. The VSC power compensator ensures efficient use of resources and increases the power Quality of the integrated system compared to each generation mode. It helps to reduce reliance on a single source and makes the system more reliable. The hybrid system can be used for both industrial and domestic applications.

Designing Of Power and Delay Efficient 10T and 14T SRAM Cell
Authors:- M.Tech. Scholar Sanjay Mongiya, Prof. Pratha Mishra, Prof. Sandip Nemade, Prof. Dr. Vikas Gupta

Abstract-This work presents an analysis of popular 1-bit full adder circuits. The analysis metrics comprised of power, delay, power-delay-product, area, and threshold loss. As an important unit of various hardware computational blocks, the transistor level design of the full adder circuit has been evolving for decades. In this comparative study, we focus on the highly cited designs of last two decades. This paper presents design of a new stable and 14T full power efficient adder circuit. The proposed circuit is designed based on Pass Transistor Logic (PTL) network using NMOS transistor only. The proposed circuit is simulated at layout level using LTSpice tools technology in terms of power and voltage level at the sum and carries nodes. The proposed circuit performance is compared with a similar 14T adder circuits and found the proposed adder circuit consumes lower power due to smaller load capacitance and parasitic resistance. The logic level at the sum and carry nodes maintains at strong 1 or strong 0 due to proposed circuit’s design architecture.This paper we introduced 10T one-bit full adders, and 14T including the most motivating of those are analyzed and compared for speed, leakage power, and leakage current. The analysis has been performed on various process and circuits techniques, the analysis with minimum transistor size to minimize leakage power, the latter with simulate transistor dimension to minimize leakage current. The simulation has been carried out on a LTSPICE tool using a .065nm technology. 10T adder and 14T adder.

Attribute-Based Temporary Keyword Search Scheme in Cloud Storage Server
Authors:- M. Tech. Scholar Sindhu Mathuku, Asst. Prof. V Dakshayani, Asst. Prof. V Subhasini

Abstract- Attribute-based keyword search (ABKS), as an important type of searchable encryption, has been widely utilized for secure cloud storage. In a key-policy attribute-based temporary keyword search (KP-ABTKS) scheme, a private key is associated with an access policy that controls the search ability of the user, while a search token is associated with a time interval that controls the search time of the cloud server. However, after a careful study, we uncover that the only existing KP-ABTKS construction [1] is not secure. Through two carefully designed attacks, we first show that the cloud server can search the cipher-text in any time. As a result, their scheme cannot support temporary keyword search. To address this problem, we present an enhanced KP-ABTKS scheme and prove that it is selectively secure against chosen-keyword attack in the random oracle model. The proposed scheme achieves both fine-grained search control and temporary keyword search simultaneously. In addition, the performance evaluation indicates that our scheme is practical.

Desing and Implement of IOT Based Four Way Womens Safety Device
Authors:- Asst. Prof. Dr. M. Dhinesh Kumar, A. Arunmozhi, L. Geetha, R. Sandhiya, S. Subalakshmi

Abstract-As we know the present era is with equal rights, where in both men and women are taking equal responsibility in their respective works. Hence women are giving equal competition next to men in all fields, they are assigned works in both the even and odd shift. Every single day women and young girls from all walks of life are being assaulted, molested, and raped. The streets, public transport, public spaces in particular have become the territory of the hunters’. Because of these reasons women can’t step out of their house. We propose to have a device which is the integration of multiple devices, hardware comprises of a wearable “Smart gadget” which continuously communicates with Smart phone that has access to the internet. The complete gadget also ensures to provide self-defense application which helps her to escape critical situations. This system can be used at places like bus stops, railway stations, offices, footpaths, shopping malls, markets, etc. The implementation of the smart gadget is basically split into two sections the first part ensures to capture the image of the Culprit the device get automatically triggered when there is a suspected motion in front of the camera, the device captures the image of the culprit and send it as an attachment to the concerned E-mail Id along with the location of the Victim. The captured image serves as the valid proof against the one who has committed the crime. By making self- defence as the first priority we make sure that occurrence of the critical situations are eliminated. The self-defence feature is capable of working in any of the circumstances either it may be with Internet as a Smart Pendant with LED flash that makes an alert call to the family, relatives via the cloud and also glows the led flash on the eyes of the culprit to make the vision blur when the attacker is at the shorter distance. Whereas Self- defence without Internet consists of Electric shock gloves, that is used to provide the electric shocks that diverts the mind of the culprit and reduce his excited state to commit the crime on women. These two factors form the combined self-defence application and help the victim to escape from the danger.

Four-Switch Three-Phase Inverter-Fed Im Drives-Literature Review
Authors:- M.Tech. Scholar Yatin Kumar, , Dr. Shweta Chourasia, Dr. E.Vijay Kumar

Abstract- Three phase induction motors have been considered one of the most commonly used electric machines in industrial applications due to their low cost, simple and robust construction. Three-phase inverters are considered an essential part in the variable speed AC motor drives. The new speed estimation adaptation law, which ensures estimation stability and fast error dynamics, is derived based on Lyapunov theory. Furthermore, a Fuzzy Logic Controller (FLC) is present as another nonlinear optimizer to minimize the speed tuning signal used for the rotor speed estimation. This paper provides a detailed survey of the past work in the inverter field. The theoretical and experimental works from different types of DC/AC or AC/DC inverter techniques are discussed.

Performance Analysis of Bidirectional Grid-Connected Single-Power-Conversion
Authors:- Pankaj Madheshiy, Dr. Shweta Chourasia, Dr. E.Vijay Kumar

Abstract- Power converter configuration targets improving the effectiveness. Yet, in a first approach and to characterize fundamental topologies, it is fascinating to expect that no misfortune happens in the converter procedure of an influence converter. With this theory, the fundamental components are of two kinds: – non-direct components, for the most part electronic switches: semiconductors utilized in substitution mode; – straight responsive components: capacitors, inductances and common inductances or transformers. These responsive parts are utilized for middle of the road vitality stockpiling for voltage and current shifting. They by and large speak to a significant piece of the size, weight, and cost of the hardware. This starting work audits and gives an exact meaning of fundamental ideas basic for the comprehension and the structure of converter topologies. Above all the sources and the switches are characterized. At that point, the key association controls between these fundamental components are checked on. From that point, converter topologies are determined. A few instances of topology combination are given. At last, the idea of hard and delicate compensation is presented. Simulation is done using MATLAB simulink software.

Performance and Selection of Thermoelectric Module for Given Temperature Range
Authors:- Prajyot Chavan, Azeem Peerjade, Shahid Jamadar, Sushant Sutar, Asst. Prof. Dipak Patil

Abstract- Experimental investigations on several commercially available TEC and TEG are conducted in industries to evaluate performance trends. Experimental setups are analyzed and the parameters determining the performance and working of thermoelectric modules. It is found that how we use thermoelectric modules with different application in industrial sector with different works. Finally, the thermoelectric module has much more applications and in the paper work also shows analysis for easily used in engineering sector.

A Review on Design and Analysis of Ladder Chassis
Authors:- M.Tech. Scholar Shubham Agrawal, Prof. Arun Patel

Abstract- One of the major challenges is of designing of the chassis. Design of chassis is begins with analysis of load cases. There are four loads acting on chassis to be considered. These loads are important considerations in design of chassis because of ride safety and comfort of passengers. The magnitude of stress arises from these loads can be used to predict the performance of chassis. Automotive chassis is made of a steel frame, aluminum or composite. In this study past literature has been done.

Survey on Privacy Preserving Mining Techniques And Application
Authors:- Phd Scholar Jayshree Boaddh, Dr.Shailja Sharma,

Abstract- Digital platform increase the easiness of data organization and utility. Extraction of information from raw data was performed by data mining algorithms. This information has many applications but few of miners extract knowledge which might affect the privacy of individual, organization, community, etc. So this paper focuses on finding the techniques which provide privacy of data against data mining algorithms. Paper has performed a survey on recent methodology proposed by different researcher. Some of data mining methods were also describe in the paper which help in information extraction. Evaluation parameters were detailed for comparison of privacy preserving methods.

A Review On Thermal Performance Optimization And Cfd Analysis Of Double Pipe Heat Exchanger
Authors:- M.Tech Scholar Rahul Sahu, Assistant Professor N.V. Saxena

Abstract- One of the most simple and applicable heat exchangers is double pipe heat exchanger (DPHE). This kind of heat exchanger is widely used in chemical, food, oil and gas industries. Upon having a relatively small diameter, many precise researches have also hold firmly the belief that this type of heat exchanger is used in high-pressure applications. They are also of great importance where a wide range of temperature is needed. It is also well documented that this kind of heat exchanger makes a significant contribution to pasteurizing, reheating, preheating, digester heating and effluent heating processes. Many of small industries also use DPHEs due to their low cost of design and maintenance. As a result, we came to conclusion that the previous researches carried out on this type of heat exchanger should be categorized in order to overcome the perplexities of choosing the most appropriate methods of interest.

Improvement Of Statcom With Grid Connected Flicker Minimization And Power Quality Improvement
Authors:- Deepesh Patel, Asst. Prof. Shivendra Singh Thakur

Abstract- The injection of the PV Grid power into an electric grid affects the power quality. The influence of the PV Grid in the grid system concerning the power quality measurements and the norms followed according to the guidelines specified in the International Electro technical Commission standard, are the active and reactive power variations, variation of voltages, flicker, harmonics and electrical behavior of switching operations. The work study demonstrates has overall good functional characteristics, better performance and faster response than existing systems. The proposed system of having STATCOM is smaller in size and less costly when compared to the existing system. In this proposed system static compensator (STATCOM) is connected at a point with a battery energy storage system to reduce the power quality issues. The effectiveness of the proposed scheme gives the reactive power demand of load and the induction generator. Simulation is done by using MATLAB / SIMULINK-Sim power system software.

Enhancement Of Hybrid Power Generation System With Vsc Based Power Compensation In Faulty Conditioning
Authors:- Shailendra Lodhi, Asst.Prof. Chandra Shekhar Sharma

Abstract- In today’s technological world, electricity is one of the most important aspects of our daily life. Since we are all unaware of the fact that renewable energy sources are depleting as fast as lightning. It is therefore time for us to remove the common focus from unconventional energy sources to generate electricity. The output of electricity generated by non-standard sources is less than their counterparts. Renewable sources have no negative effects on the environment. The Solar-wind hybrid system is basically a combination of a solar plant and a wind power plant. It will help to provide uninterrupted electricity supply. As in bad weather the product can be moved from one plant to another with the help of a VSC power compensator. The VSC power compensator ensures efficient use of resources and increases the power Quality of the integrated system compared to each generation mode. It helps to reduce reliance on a single source and makes the system more reliable. The hybrid system can be used for both industrial and domestic applications.

A Review On Hybrid Energy Based On Mppt Techniques
Authors:- M.Tech. Scholar Anshu Bala, Professor Vinay Pathak

Abstract-This Paper provides a succinct and well-organized overview of different maximum power point tracking (MPPT) algorithms used in photovoltaic (PV) generating systems that may operate in partial shade. To far, a broad range of algorithms, PV modelling methods, PV array designs, and controller topologies have been investigated. However, every method has both benefits and drawbacks; as a consequence, while building a PV generating system (PGS) under partial shade conditions, a thorough literature study is required. The thorough review of MPPT algorithms has been done in this article. The review of MPPT methods has been divided into four major categories. The first group consists of entirely new MPPT optimization algorithms, the second group consists of hybrid MPPT algorithms, the third group consists of novel modelling approaches, and the fourth group consists of different converter topologies. This article offers an accessible reference for doing large-scale research in PV systems under partial shadowing conditions in the near future.

Thermal Analysis of Heat Sink with Perforation Techniques Using Ansys
Authors:-M.Tech.Scholar Umesh Badode, Asst.Prof. Deepak Solanki

Abstract-The engine chamber is one of the essential engine components that is subjected to high temperatures and heat stress. Particles on the cylinder surface enhance convection heat exchange. The heat produced by gasoline burning inside a vehicle engine. The friction between moving components often generates more heat. The air-cooled I.C. engine has fins in the shape of expanded surfaces surrounding the motor cylinders to improve heat transfer. Fin analysis is an important endeavour in order to increase the heat transfer rate. This study looks at past work on fine heat transfer rate enhancements, looking at changes in the form and composition of cylinder fins. The ANSYS programme was utilised in this study to examine the impact of fin shape and size on heat exchange within various fin geometries, including pin fin morphologies, tube fin geometries, hole geometries, and plate fin geometries. Temperature changes in fins have been investigated utilizing experiments. One of the studies was to assess temperature changes in exact field performance models and compare them to experimental data in Ansys. We’re looking at methods to make the most of the wind to help with heat dissipation. The study’s goal is to improve thermal properties via modifications in form, material, and small-scale design.

Image Processing: An Application of Machine Learning
Authors:- Duggineni Srinivasa Rao

Abstract- In the current scenario of the data world, the data holds significant information if processed correctly. The data can be in the form of images which can prove to be a boon in deriving the useful insights from it in order to get the knowledge of things at an early stage itself. But the matter of concern is deriving the information from the images will be a tedious task for human beings and would incur a heavy cost and time. So, an easy and cheaper technique is to teach a machine efficiently to do the task for us. The concept of using Machines to do human tasks is known as Machine Learning. In this paper, I present various literature reviews regarding image processing in Machine learning and how image processing has helped in identifying the issues at early stages so that they can be resolved easily without causing much harm. Also, image processing has been a helpful tool in computer vision.

DC Microgrid for Solar and Wind Power Integration
Authors:- Ashok Singh Bhauryal, Nisha Kaintura, Tanya, Yash Pratap Singh

Abstract-Micro-grid systems are presently considered a reliable solution for the expected deficiency in the power required from future power systems. Renewable power sources such as wind, solar offer high potential of benign power for future micro-grid systems. Micro-Grid (MG) is basically a low voltage (LV) or medium voltage (MV) distribution network which consists of a number of called distributed generators (DG’s); micro-sources such as photovoltaic array, wind turbine etc. energy storage systems and loads; operating as a single controllable system, that could be operated in both grid-connected and islanded mode. The capacity of the DG’s is sufficient to support all; or most, of the load connected to the micro-grid. This paper presents a micro-grid system based on wind and solar power sources and addresses issues related to operation, control, and stability of the system. Using Matlab/Simulink, the system is modeled and simulated to identify the relevant technical issues involved in the operation ofwa micro-grid system based on renewable power generation units.

Face Recognition using Deep Neural Network
Authors:- Research Student Amritpal Kaur, Asst.Prof. Shaveta Bala

Abstract- Face recognition is one of the fundamental challenges in the various application of computer vision and in the pattern recognition. First step of this process is to detect the facial feature in a video or in digital images. Next step is to recognize the person present in the frame by comparing its facial features with the features present in the database. For this step various types of classifiers are used for extraction and reducing the number of facial features. Various types of learning techniques were built in last two decades for face detection and recognition. Holistic learning, local handcraft learning and shallow learning are few examples of these techniques. In the last decade deep learning has shown the great improvement in the field of face recognition. Here convolutional neural network is used to learn the features of the object. In this paper a novel deep neural network technique with back propagation is proposed to identify and recognize the faces of various famous persons. Various objective parameters like precision, recall and F1 score is used to evaluate the performance of the proposed technique.

A Study On Anti Ramsey Coloring Problems
Authors:- M.Phil Scholar M. Susila, Asst.Prof. A. Mallika

Abstract- Let ar(G, H) be the maximum number of colors such that there exists an edgecoloring of G with ar(G, H) colors such that each subgraph isomorphic to H has atleast two edges in the same color. We call ar(G, H) the Anti-Ramsey number for a pair of graphs ar(G, H). In this paper, we determine the Anti-Ramsey number for special graphs.

Inter-laminar Fracture of Composites Materials for Aerospace Structures
Authors:- Research Scholar Imran Abdul Munaf Saundatti, Prof. Dr G. R. Selokar (Supervision)

Abstract- The point of the present research is to pick up a superior comprehension of inter-laminar facture of polymer framework composites in various modes, and to create scientific model to anticipate the critical strain energy discharge rates. Accentuation has been set on the root revolution at the crack tip which was accepted to be a critical factor which influences the delaminating fracture toughness, and critical burden. A joined experimental and hypothetical investigation has been directed to decide the job of root revolution on critical burden. The objective of anticipating the reliance of root pivot on critical strain energy discharge rate under mode I is accomplished. The initial segment of the present examination analyzes inter-laminar fracture toughness of Double Cantilever Beam (DCB) examples dependent on a changed Timoshenko beam model.

Grid connected Solar Powered Water Pumping System Utilizing Improved Control Technique
Authors:- Suvek Kumar, Prof. Vinay Pathak

Abstract- Present paper aims to discuss scope and limitations of photovoltaic solar water pumping system. Components and functioning of PV solar pumping system are described. In addition, review of research works of previous noteworthy researchers has also been done. Irrigation is well established procedure on many farms in world and is practiced on various levels around the world. It allows diversification of crops, while increasing crop yields. However, typical irrigation systems consume a great amount of conventional energy through the use of electric motors and generators powered by fuel. Photovoltaic energy can find many applications in agriculture, providing electrical energy in various cases, particularly in areas without an electric grid. This paper proposes a single stage grid interactive solar powered switched reluctance motor (SRM) driven water pumping system with an efficient control technique. The control of proposed system provides the proficient maximum power point technique (MPPT) tracking and motor drive control with bidirectional power flow between the photovoltaic (PV) array and single phase grid. It has harmonics components elimination, improved dynamic performance and a DC offset rejection capability compared to other control. A PV feedforward term is also incorporated in developed control to enhance the dynamic performance of the system and to minimize the size of DC link capacitor with improved MPPT performance. The novel scheme of fundamental switching of SRM drive over its maximum operational time (when the grid is present) makes system efficient and reliable. An improved perturb and observe (P&O) based maximum power point tracking (MPPT) algorithm is used in this system to minimize the undesirable losses in a PV array specially under varying insolation levels. The proposed control is tested on a developed prototype and its suitability is authenticated through simulated and test results under various conditions.

A Review on Grid Connected Hybrid Renewable Energy System Using Dynamic Voltage Restorer
Authors:- Gyanoday Kumar, Prof. Vinay Pathak

Abstract- This paper presents a new system for integration of a grid-connected photovoltaic (PV) system together with a self supported dynamic voltage restorer (DVR). Power quality (PQ) is gaining a great deal of importance as more sensitive loads are introduced into the utility grid. The degradation of product quality, damage of equipment and temporary shutdowns are the general issues associated with PQ problems in industries. Any mal-operation or damage of the industrial sensitive loads results in monetary losses disproportionately higher than the severity of the PQ issues. The evolution of power electronics technology replaced the traditional power quality mitigation methods with the introduction of Custom Power System devices (CUPS). The major power electronic controller based CUPS are DSTATCOM, DVR and UPQC. DVR is a pertinent solution for the economic losses caused by the PQ issues in the industries. Among the CUPS, DVR is the most cost-effective one. In the published literature, only a few papers correspond to the review of DVR technology. In this paper, a systematic review of published literature is conducted and a description is given on the design, standards and challenges in the DVR technology. In addition to the energy variability of renewable energy sources, random voltage sags, swells and disruptions are already a major issue in power systems. Recent advances in power electronic devices have provided a platform for new solutions to the voltage support problem in power systems.

Modelling of Solar and Grid Connected System Based on Bidirectional DC to DC Converter
Authors:- M.Tech Scholar Vikas Kumar, Prof. Vinay Pathak

Abstract- The goal of this paper is to create and build a maximum power point tracker that uses fuzzy logic control methods. For such nonlinear situations, fuzzy logic makes an ideal controller. This method also takes advantage of artificial intelligence techniques that can help model nonlinear systems despite their complexity. To make this project a success, I created and simulated an MPPT system made up of photovoltaic modules. MPPT works by using a tracking algorithm to discover and sustain operation at the greatest power point. Due to changes in temperature, solar radiation, and load, the photovoltaic module’s maximum power will fluctuate. A maximum power point tracker (MPPT) is used in the photovoltaic system to continually harvest the highest power from the solar panel and then transfer it on to the load in order to maximize efficiency. A DC-DC converter (an electrical device that transforms DC energy from one voltage level to another) and a controller, as well as DC converters, batteries, and fuzzy logic controllers, make up the general structure of the MPPT system. To determine the best topology for the PV system, characterise the buck, boost, and buck-boost converters. In the MATLAB Simulink system, the integrated model of the PV module with the indicated converter and battery will be simulated.

Performances of Hybrid Renewable Energy Based Electrical Charging Station
Authors:- M.Tech Scholar Pooja Tiwari, Prof. Vinay Pathak

Abstract- Electric vehicles (EVS) represent one of the most promising technologies to green the transportation systems. An important issue is that high penetration of evs brings heavy electricity demand to the power grid systems became an important solution to reach the remote area and maximizing the economic, technological, and environmental benefits. In this thesis, A combination of solar energy, diesel generator, and electric vehicle gave an excellent result to ensure an uninterruptible power supply in case of low irradiance of PV solar energy. The main element is a photovoltaic system that is designed to satisfy the daily load energy requirement. A three-phase active filter is used to improve the power quality, manage the power, and corrected the unbalance. Backup energy storage systems including plug-in hybrid electric vehicles and the diesel generator are used to ensure an uninterruptible power supply in case of low solar irradiation. An effective way to reduce the impact is to integrate local power generation such as renewable energy (RES) into the charging infrastructure. Due to the intermittent and indivisible nature of RES, it has become very challenging to coordinate the charging of electric cars with other grid loads and renewable energy. This studies the charging of electric vehicles with smart grid technology and reviews its interaction with renewable energy. First introduces electric cars and renewable energy, which mainly introduces the main types of electric vehicles and the estimation method for renewable energy. In line with the objectives, the existing research work is divided into three categories: cost awareness, efficiency awareness and emission awareness of the interaction between electric cars and renewable energy. Each discussion category contains a description of the core idea, an overview of the solution and a comparison between different works. Finally, some important open-ended questions related to the interaction between electric cars and RES are given, and some possible solutions are discussed. To take care of the battery life, the PHEV supplies power to the load only during emergencies. This motivates the development of this work to the used robust algorithm, sizing, and energy management to balance the load consumption and electricity production this simulation has performed on MATLAB Simulink.

Implementation of Heuristic Methods in Manufacturing Industry
Authors:- M. Tech. Scholar Shashank Mishra, Prof. Hari Mohan Soni

Abstract- The Assembly Line Balance (ALB) is known as the classic problem of AL balancing, consisting in the allocation of tasks on a workstation in a way that downtime is minimized, and the precedence constraints are met. The ALB allows achieve the best use of available resources so that satisfactory production rates are reached at a minimum cost. The balancing is necessary when there are process changes, such as adding or deleting tasks, change of components, changes in processing time and also in the implementation of new processes.

Review of Design multiplexer using QCA
Authors:- M.Tech. Scholar Rajesh Kumar, Asst. Prof. Mr. K. K. Sharma

Abstract-A novel design of a quantum-dot cellular automata (QCA) 2 to 1 multiplexer is presented. The objective is the development of a modular design methodology which can be used to design 2n to 1 multiplexers using building blocks. For the QCA implementation a careful consideration is taken into account concerning the design in order to increase the device stability. The proposed multiplexer is designed and simulated using the QCADesigner tool.

Improving the Performance of Neural Networks
Authors:- Satwik Ram Kodandaram

Abstract- Deep Learning is a sub-part of Machine Learning where we exactly mimic the human brain neural network system. Deep Learning models are nonlinear models. They offer increased flexibility and can scale in proportion to the available training dataset. The downside of this flexibility is weights are calculated and updated via a stochastic training algorithm which means that they are sensitive to the training data and may have a different set of weights upon each time they are trained and produce different predictions. Generally, this case is referred to as neural networks with high variance and it will be very difficult to produce a final model for predictions. Deep Learning models often take too much time to train which means we require high computation resources like GPU or TPU. After investing so much time and resources, there is no guarantee that the final model will have low generalization error when performing on the unseen dataset. To overcome this, we need to reduce the variance of the model. A successful approach to reduce the variance is to go for “ensemble learning”. In this paper, we will discuss different methods of “ensemble learning” to improve the accuracy of the deep learning model by reducing the variance.

A Review on Experimental Investigation of Surface Roughness & Material Removal Rate of EN-31 Alloy Steel
Authors:- M.Tech. Scholar Rahul Singh, Asst. Prof. Abhishek Singh Roha

Abstract- This paper investigates the influence of machining parameters on MRR and surface roughness during CNC turning of EN-31 Steel using tungsten carbide inserts. Three machining parameters were taken. Taguchi robust design of technique is used. L9 orthogonal array was used. S/N ratio and ANOVA method were used to find mean response and percentage contribution. From the experimental result it is concluded that cutting speed is most significant effect on surface roughness and MRR.

A Review on Errors Caused in Infrared Thermography Measurements
Authors:- M.Tech Scholar Neeraj Kumar Dubey, Prof. Nitin Jaiswal

Abstract- Infrared thermography in its process uses thermal imager to detect radiation and then further converting it to get object temperature and temperature distribution. The results of thermography measurement get affected by various parameters say emissivity, ambient temperature, atmospheric temperature, transmittance, relative humidity, distance and view factor between object and sensor. Parameters such as emissivity, ambient temperature, transmittance, relative humidity, distance between object and sensor are user-specified to the measurement software. The present work focuses on review of errors caused in infrared thermography measurements.

Implementation of Greenhouse Service Control Protocol using Raspberry-Pi
Authors:- Mohammed Ameen Uddin, Shanila Mahreen, Mohd Anas Ali

Abstract- – The term “greenhouse” refers to a controlled atmosphere in which plants are cultivated. To achieve optimal plant development, greenhouse systems must continuously monitor and regulate environmental factors such as temperature, soil moisture, light intensity, humidity, and others. A greenhouse provides a year-round climate for growing plants, even on cold, gloomy days. This project’s major goal is to develop a basic, low-cost system that continually updates and controls the value of environmental parameters in order to ensure optimal plant development. Precision agriculture uses a variety of approaches to monitor and regulate the environment for the growth of numerous crops. It is difficult to meet the needs of farmers to manage water evenly due to the unequal distribution of rain water. This necessitates various irrigation methods that are suited for every weather condition, soil type, and diversity of crops. Finding a strategy that provides flawless analysing and regulating in order to build a proper atmosphere is more vital. Agriculture is one of the many areas where ICT technology is frequently used. The majority of equipment and greenhouses in the agriculture industry still rely on outdated serial connection methods. Several technical implementations of communications and information, such as internet and Bluetooth are becoming more widely used, yet they are still incompatible. Korea is working on a set of standards to ensure that various vendors can communicate with one another. For Protocol of Link-Control to be standardized, which is not dependent on infrastructure of network underlying, may be used to offer fundamental interoperability. We created a protocol of controlling the service on basis of protocol of Link-Control and implemented it using Python in this article.

Improving the Performance of Neural Networks
Authors:- Satwik Ram Kodandaram

Abstract- Deep Learning is a sub-part of Machine Learning where we exactly mimic the human brain neural network system. Deep Learning models are nonlinear models. They offer increased flexibility and can scale in proportion to the available training dataset. The downside of this flexibility is weights are calculated and updated via a stochastic training algorithm which means that they are sensitive to the training data and may have a different set of weights upon each time they are trained and produce different predictions. Generally, this case is referred to as neural networks with high variance and it will be very difficult to produce a final model for predictions. Deep Learning models often take too much time to train which means we require high computation resources like GPU or TPU. After investing so much time and resources, there is no guarantee that the final model will have low generalization error when performing on the unseen dataset. To overcome this, we need to reduce the variance of the model. A successful approach to reduce the variance is to go for “ensemble learning”. In this paper, we will discuss different methods of “ensemble learning” to improve the accuracy of the deep learning model by reducing the variance.

Survey of Dc-Dc Converters for Dc Nano-Grid with Solar PV Generation
Authors:- PG Scholar Poonam Singh, Asst. Prof. Abhijeet Patil, Associate Prof. Dr E.Vijay Kumar

Abstract- The wide use of DC characterized loads and more distributed power generation sources (DERs), the DC Nanogrid becomes more and more popular and seen as an alternative to the AC grid system in future. Therefore for safety considerations, DC Nano grid provides reliable grounding for residential loads like low voltage AC power system. Nano grid is a self-controlled entity and operated in either grid connection or island mode which connects local distributed energy sources and local distributed system. In this paper the review of performance analysis of DC-DC converters used in Nano grid is proposed. DC-DC converters are used for maintaining the voltage level of the system according to load demand.

Review Paper on Design of Vortex Tube Refrigeration
Authors:-Prof. E. L. Manjerekar, Faizan Girkar, Prakash More, Hanish Parab, Siddharth Parab

Abstract- The Ranque-Hilsch vortex tube has been used for many decades in various engineering applications. Because of its compact design and little maintenance requirements, it is very popular in heating and cooling processes. Despite its simple geometry, the mechanism that produces the temperature separation inside the tube is fairly complicated. A number of observations and theories have been explored by different investigators concerning this phenomenon. This report goes over some of the major conclusions found from experimental and numerical studies since the vortex tube’s invention. One of these studies showed that acoustic streaming caused by vortex whistle plays a large part in the Ranque-Hilsch effect.

Performance Evaluation of a Self-Excited Induction Generator for Stand-Alone Wind Energy Conversion System
Authors:-Ruqaya Mohiudin, Priya Sharma

Abstract- This paper presents the performance characteristics of a self-excited induction generator (SEIG) under various operating conditions. This also explains the modeling of parallel equivalent circuit to evaluate the reactive power required for SEIG. The variation of terminal voltage has been studied by varying the shaft speed, capacitance value and load. The simulations are carried through MATLAB/SIMULINK environment, and the validation of the simulation results are established through an experimental set-up.

Deep Learning Approach for the Detection of Breast Cancer
Authors:-Research Scholar Sapna Bansal, Professor Dr. Rohit Kumar Singhal

Abstract- About 2.1 million women are diagnosed with breast cancer annually, making it the most frequent sort of cancer among women. The aim is to raise the percentage of early breast cancers, enabling more effective treatment and a reduced risk of breast cancer death as a result of the disease. We use a number of machine learning approaches to assess whether a tumor’s traits are benign or malignant. Digital biomedical photos, such as histopathological photographs, are utilized in large sections by doctors to diagnosis cancer since they are so accurate. The analysis of histological pictures is a time- consuming technique that demands practically always the employment of expertise. Conversely, computer-aided diagnostic (CAD) systems can assist clinicians establish more accurate diagnoses. The Deep Neural Network (DNN) for biological image processing has lately demonstrated to be at the forefront of technology. In general, each image consists of a mix of structural and statistical information. The current work contained a collection of biological breast cancer photos and used DNN approaches to categorize photographs on the basis of structural & numerical data from imaging shots. SVM, RF and CNN approaches are compared for categorizing photos of breast cancer. The purpose of this investigation is to find out if the hypothesis is accurate or not. The degree of accuracy for this investigation was 98.00 percent.

Impacts of Bullying on students
Authors:-Kuenga Dendup

Abstract- This research was carried out in one of the primary schools in Tsirang involving 30 students, 15 boys and 15 girls, from Classes IV-VI. Participants were aged between 11 and 15 years of age, mean age of 13 years. Besides the quantitative, the study uses qualitative data from a focus group discussion (FGD), attended by 15 students, seven girls and eight boys, whose ages range from 11 to 16 years. A total of 45 students contributed to this study. This study aimed to review, understand and analyze the literature about bullying behaviours of school children and to find out the effect of bullying on students and gauge how that would affect their interest in coming to school every day. It was also to find out how bullying can sometimes lead to low self-esteem and underperformance academically at school and to identify what educators can do to create a bully-free school.

Seismic Analysis of Multistorey Building with Floating Column
Authors:-M.Tech. Scholar Adnan Ahmed, Dr. P.K. Singhai

Abstract- Structural planning and design is an art and science of designing with economy and elegance and durable structures. In present scenario buildings with floating column is a typical feature in the modern multistory construction in urban India. Such features are highly undesirable in building built in seismically active areas. Tremendous increase in the use floating column can be seen these days cause of spacious and aesthetic appearance but that could not be achieved on the risk of failure of building. This study highlights the importance of explicitly recognizing the presence of the floating column in the analysis of building. The study is carried out to analyze the building with floating columns and to find out its comparison with the building without floating column in terms of storey drift, base shear and time period frequency using designing software.

Seismic Retrofitting of Reinforced Concrete Structures
Authors:-M.Tech Scholar Md Aamir Sohail, Prof.Vijay Kumar Meshram

Abstract-Earthquake around the world is one of the reasons responsible for the destruction to life and property in large numbers. In order to mitigate such hazards, it is important to incorporate norms that will enhance the seismic performance of the structures. Earthquake loads are required to be carefully modeled so as to assess the real behavior of structure with a clear understanding that damage is expected but it should be regulated. Seismic Retrofitting is the modification of existing structures to make them more resistant to seismic activity, ground motion, or soil failure due to earthquakes. In this project our aim is to analyze an existing building using STAAD Pro v8i, with and without the provision of seismic retrofitting. The structure is analyzed in STAAD Pro v8i and the bending moment was chosen as the criteria for selecting the weak member. RC jacketing was selected as the retrofitting technique employed to the weak member andlater the member in the structure was compared with the bending moment value before and after providing retrofitting. It was determined that RC jacketing strengthened the structure, which was vulnerable to seismic activity.

Analysis of Major Elements of Elevated Metro Bridge
Authors:-M.Tech Scholar Mohammad Ammar, Prof. Vijay Kumar Meshram

Abstract-An elevated metro system is more preferred type of metro system due to ease of construction and also it makes urban areas more accessible without any construction difficulty. An elevated metro system has two major elements pier and box girder. This research concentrates only on the design of pier and its performance. Conventionally the pier of a metro bridge is designed using a force based approach. During a seismic loading, the behaviour of a single pier elevated bridge relies mostly on the ductility and the displacement capacity. It is important to check the ductility of such single piers. Force based methods do not explicitly check the displacement capacity during the design. Conventionally the pier of a metro bridge is designed using a force based approach. During a seismic loading, the behavior of a single pier elevated bridge relies mostly on the ductility and the displacement capacity. It is important to check the ductility of such single piers. Force based methods do not explicitly check the displacement capacity during the design. The codes are now moving towards a performance-based (displacement-based) design approach, which consider the design as per the target performances at the design stage. Performance of a pier designed by a Direct Displacement Based Design is compared with that of a force-based designed one. , performance of a pier designed by a Direct Displacement Based Design is compared with that of a force-based designed one. The design of a pier is done by both force based seismic design method and direct displacement based seismic design method and performance assessment is done based on both the methods.

Vibration and Buckling Analysis of Cracked Composite Beam

Authors:-M.Tech. Scholar Abuzar Khan, Dr. P.K. Singhai

Abstract-Cracks in structural members lead to local changes in their stiffness and consequently their static and dynamic behaviour is altered. The influence of cracks on dynamic characteristics like natural frequencies, modes of vibration of structures has been the subject of many investigations. However studies related to behavior of composite cracked structures subject to in-plane loads are scarce in literature. Present work deals with the vibration and buckling analysis of a cantilever beam made from graphite fiber reinforced polyimide with a transverse one-edge non-propagating open crack using the finite element method. The undamaged parts of the beam are modeled by beam finite elements with three nodes and three degrees of freedom at the node. Anoverall additional flexibility matrix‟ is added to the flexibility matrix of the corresponding non-cracked composite beam element to obtain the total flexibility matrix, and therefore the stiffness matrix in line with previous studies. The vibration of cracked composite beam is computed using the present formulation and is compared with the previous results. The effects of various parameters like crack location, crack depth, volume fraction of fibers and fibers orientations upon the changes of the natural frequencies of the beam are studied. It is found that, presence of crack in a beam decreases the natural frequency which is more pronounced when the crack is near the fixed support and the crack depth is more. The natural frequency of the cracked beam is found to be maximum at about 45% of volume fraction of fibres and the frequency for any depth of crack increases with the increase of angle of fibres. The static buckling load of a cracked composite beam is found to be decreasing with the presence of a crack and the decrease is more severe with increase in crack depthfor any location of the crack. Furthermore, the buckling load of the beam decreased with increase in angle of the fibres and is maximum at 0 degree orientation.

Seismic Risk Assessment of RCC Framed Structure with Vertically Irregular Buildings Shaped
Authors:-M.Tech. Scholar MD Arif Mansoori,Prof.Vijay Kumar Meshram

Abstract-The area of vertically irregular type of building isnow having a lot of interest in seismic research field. Many structures are designed with vertical irregularity for architectural views. Vertical irregularity arises in the buildings due to the significant change instiffness and strength. Open ground storey (OGS) is an example of anextreme case of vertically irregularity. The typical OGS andstepped types of irregularities are considered in the present study.

Experimental Investigation on Al-6061 for MRR and Surface Roughness Using MAFM Technique
Authors:-M. Tech Scholar Mohit, Assistant Professor Manoj

Abstract-MAFM is an innovative expansion in AFM. By means of magnetically fielding in the region of the work portion in AFM, we can amplify the material removal rate in addition to the plate finishing. MAFM is a dug in refined finishing up technique capability of meted the changed closing necessities via a different sections of use like aviation, wellbeing and vehicle. It is commonly helpful to end composite figures for improved surface unevenness esteems and unbending abstinences. Be that as it may, the principal disadvantage of this methodology is short closing rate. The unrivalled introduction is practiced if the system is controlled on the web. Thus, sound related discharge technique is tried to investigate the exterior complete and material rejection. A variety of demonstrating techniques are likewise practiced to display the methodology and to connect with investigational results. Yet, pros guess that there is still extension for an arrangement of flawlessness in the close-by MAFM review. In the current effortAl-6061 is punctured & exhausted by customary machined capacity & surface finishing up was made by methods for rough stream machining. Testing was grasped for information requirements like rough pondering, grating system degree and no of cycles.

Biometrics Authentication Systems
Authors:-Gita Roy

Abstract-Biometrics are body estimations and computations identified with human attributes. Biometric confirmation (or sensible verification) is utilized in software engineering as a type of recognizable proof and access control. It is additionally used to recognize people in bunches that are under observation. Biometric identifiers are the particular, quantifiable qualities used to name and depict people. Biometric identifiers are regularly sorted as physiological qualities, which are identified with the state of the body. Models incorporate, yet are not restricted to finger impression, palm veins, face acknowledgment, DNA, palm print, hand calculation, iris acknowledgment, retina and smell/aroma. Social qualities are identified with the example of conduct of an individual, including however not restricted to composing musicality, stride, keystroke, signature, conduct profiling, and voice. A few scientists have instituted the term ‘biometrics’ to depict the last class of biometrics.

Study on Torsional Behavior of RCT- Beams Strengthened with Glass FRP
Authors:-M.Tech Students Mohd Ahzam Imran, Asst. Prof.Vijay Kumar Meshram

Abstract-Environmental degradation, increased service loads, reduced capacity due to aging, degradation owing to poor construction materials and workmanships and conditional need for seismic retrofitting have demanded the necessity for repair and rehabilitation of existing structures. Fibre reinforced polymers has been used successfully in many such applications for reasons like low weight, high strength and durability. In the present work experimental study was conducted in order to have a better understanding the behavior of torsional strengthening of solid RC flanged T-beams. An RC T-beam is analyzed and designed for torsion like an RC rectangular beam; the effect of concrete on flange is neglected by codes. In the present study effect of flange part in resisting torsion is studied by changing flange width of controlled beams. The other parameters studied are strengthening configurations and fiber orientations. The aim of present work is to determine quantitatively the effectiveness of GFRP to be used as external lateral reinforcements to flanged T-beams subjected to torsion. Experimental results obtained from GFRP strengthen beams are compared with un-strengthen control beams. The study shows remarkable improvement in torsional behavior of all the GFRP strengthens T-beams. The experimentally obtained results are validated with analytical model presented by A. Deifalla and A. Ghobarah and found in good agreement.

Well Productivity Optimization
Authors:-MBA. Jorge Vargas

Abstract-Determine, optimize, implement, and follow up operational strategies, designs and engineering, to obtain efficient and maximized well intervention programs and their artificial lifting systems through the acquisition of information related with fluids, bottom hole pressures, pressure restoration factors, and optimum well operating conditions.

Productivity-Collaboration and Integration of Functional Processes in Companies of the Oil and Gas Sector
Authors:-MBA.Jorge Vargas

Abstract-Productivity Collaboration and Integration of Functional Processes in Companies in the Oil and Gas Sector, to develop and professionalize the “Collaboration Centers” to follow up and manage factors, scenarios, current and future operating conditions of the operation and its processes and workflows (exploration, exploitation design, reservoirs, drilling, completion, production, workover, surface facilities, construction, logistics, transport, maintenance, safety, occupational health and the environment).

Application of Double Ribbed Twisted Tapes in Heat Transfer Enhancement of Tubular Heat Exchanger
Authors:-M. Tech. Scholar Umesh Kumar Yadav, Asst. Prof. Saumitra Kumar Sharma

Abstract-Nowadays, heat exchangers with twisted-tape inserts have widely been applied for enhancing the convective heat transfer in various industries such as thermal power plants, chemical processing plants, air conditioning equipment, refrigerators, petrochemical, biomedical and food processing plants. In general, twisted tape insert introduces swirl into the bulk flow which consequently disrupts a thermal boundary layer on the tube surface. Recently, the use of twisted tape with cuts and holes becomes popular due to their thermal performance improvement in comparison with other types of twisted tape and several studies have been carried out on these types of modified twisted tape. This work aims to present a numerical model for heat transfer intensification in a heat exchanger tube equipped with novel V-cut twisted tape. The effects of different cut ratios (0.6<b/c<1.25) on the turbulent flow characteristics and thermal performance of the system will be investigated over the Reynolds number range from 4000 to 12000. All the simulation will be performed for fully developed turbulent flux in the Reynolds number range with uniform heat flux of 5000 W/m2.The numerical results of heat transfer (Nusselt number, Nu), pressure drop (friction factor, f) and enhancement Performance Factor in a tube with twisted tapes (V-Cut) were reported in the study.

Study and Optimization of Defects in Casting Used in Foundry with the Use of Six Sigma Methodology
Authors:-M. Tech. Scholar Shubham Verma, Asst. Prof. Vivek Singh, Prof. Rajesh Rathore, Asst. Prof. Virendra Dashore

Abstract-Casting industries play an important part in the manufacturing industry. Complex form and size goods are created in a single procedure that cannot be produced in other manufacturing methods. Because the other method requires more than one step to transform a raw material into a finished product. The casting’s quality should be maintained without flaws throughout production. This is not feasible since we cannot achieve a 100% accuracy rate. However, some quality control instruments and methods may assist to decrease the proportion of faults. The primary goal of this study is to minimize the shrinkage fault that occurs in the External Bearing Ring of ductile cast iron manufactured in Pithampur, Indore’s premier casting Renuka factory. From the industry we collect the four months data of production and production defects data in product casting. The data was gathered from the industry over a six-month period, and the flaws were discovered using the Six-Sigma DMAIC (Define, Measure, Analyse, Improve, Control) method. Quality control tools are used at various phases of the DMAIC method to detect and control problems. In addition, the Taguchi method is used to generate the L9 orthogonal array from the Minitab programme. Finally, the optimum solution is developed and recommended to the industry for defect reduction.

Blockchain in the KYC Process – A Case Study
Authors:-Abhishek Oberoi, Bhargav Patel, Anas Mansuri

Abstract-This paper deals with the appropriateness of the blockchain technology to improve existing KYC procedures, which are often described as lengthy, costly and cumbersome. Moreover, similar identification processes need to be carried out repeatedly for several institutions, which creates considerable inefficiencies and avoidable costs. The use of a blockchain design with smart contracts offers the possibility to avoid redundant workflows and entails several benefits such as enhanced security, trust and flexibility. This illustrates that the blockchain technology, which is still in a maturing phase, has the potential to play an important role in streamlining and (to some extent) automating current KYC processes. In terms of security, trustworthiness or customer satisfaction, the technology may offer game changing opportunities (not only) in the realm of authenticated user identification or digital identity management.

A Review on Heavy Metal Pollution of Holy River Ganga
Authors:-Dr. Pushpraj Singh

Abstract– The Ganga, is one of the most sacred and worshipped river of India, is regarded as the cradle of Indian civilization. Ganga River is a source of life but contamination of water is the major threat in today’s India. The industrial, municipal and agricultural wastes contain large amount of organic and inorganic materials and itleads to water pollution, which contains, variable amounts of heavy metals, some of them are potentially toxic and may affect human health and health of aquatic system. Many natural and anthropogenic sources caused heavy metal pollution into water. The concentrations of heavy metals determined were more than the maximum admissible and desirable limit when compared with the National and International organizations like CPCB (Central Pollution Control Board), ISI (Indian Standard Institution), ICMR (Indian Council of Medical Research), WHO (World Health Organization) and USEPA (United States Environmental Protection Agency). Exposure to heavy metals has been linked to chronic & acute toxicity developing retardation, neurotoxicity, kidney damage, various cancers, liver damage, lung damage, fragile bones and even death in instances of very high exposure. The major objective of this review paper is the finding of the work carried out by the many scientists, environmentalists and researchers in the past on the heavy metal pollution of holy river Ganga.

Autonomous Energy-Efficient Wireless Sensor Network Platform for Home/Office Automation
Authors:-Syed Ghouse Mohiuddin, Mr. Dargah Akbar Hussain, Mohd Anas Ali

Abstract- The Self-driving car is an autonomous robot that navigates to its destination without human operator. The aim of this project is to make an efficient LIDAR sensing system for Self-driving cars that is capable of mapping its surroundings, navigating through the path, and reaches the destination automatically. Through scan matching, the robot detects a previously visited location and creates one or more loop closures along its path. To plan a path through an environment effectively a probabilistic roadmap (PRM) identify an obstacle-free path from a start to an end point, the PRM method employs a network of connected nodes. The obstacle locations given in the Map are used to link the nodes. The findings are shown on a low-cost Autonomous RC Robot that runs on the ROS Kinetic running on a Raspberry Pi and YDLIDAR X2 in the front top part. This low-cost autonomous bot is equipped with capabilities such as Simultaneous Localization and Mapping, Path Planning and Following, allowing it to autonomously reach its destination once it is marked on the map.

Crop Infection Detection Using Yolo
Authors:-Satwik Ram Kodandaram, Kushal Honnappa, Parikshith H, Sandesh, 5 Kushal C

Abstract-Agriculture is the backbone of a country. It is important to note that without agriculture, there is no economic growth in the country. As Technology has improved a lot and improving a lot day by day, these technologies can be utilized in farming and agriculture so that there will be maximum utilization of crops and less wastage of crops. To achieve this, we need to come across a few challenges. Which crops can be grown depending on certain weather conditions? Identification of disease in crops so that we can prevent it and maximum yield of crops. Prevention is better than cure the famous quote says. Artificial Intelligence is one of the greatest inventions, using AI we can train the machine with images to detect disease in crops. The problem of the underutilization of crops can be achieved. This paper proposes a model for implementing crop infection detection and maximum yield of crops using Convolution Neural Networks (CNN) and You Look Only Once(YOLO).

Detection of Sickle Cell Anemiafromblood Smeared Images Using CNN Algorithmin Image Processing
Authors:-Lecturer Dinesh kumar S.

Abstract-Human blood consists of 3 kinds of major cells: Red blood cells, White blood cells and blood platelets. Erythrocyte malady could be a cluster of disorders that affects hemoglobin, the molecules in red blood cells that delivers element to cells throughout the body. This is known as sickle cell anemia. In sickle cell anemia, the blood contains unusual hemoglobin molecules referred to as hemoglobin S, which misshapes red blood cells into a reaping hook, or crescent shape. Sickle cell anemia is a hereditary form of anemia in which mutated hemoglobin distorts the red blood cell into sickle shaped cells due to low oxygen levels. Signs and symptoms of erythrocyte malady i.e., sickle cell disease typically begin in infancy. Detection of sickle cell anemia emphasizes the analysis for accurate disease diagnosis. It is being done using CNN algorithm in image processing.To perform the segmentation of the images, techniques such as Plane Extraction, Arithmetic operations, Linear distinction Stretching, bar graph feat and world Thresholding and Gray Level Co-occurrence Matrix employed for classification.

An Efficient Lidar Sensing System for Self-Driving Cars
Authors:-Syed Ghouse Mohiuddin, Mr. Dargah Akbar Hussain, Mohd Anas Ali

Abstract-The Self-driving car is an autonomous robot that navigates to its destination without human operator. The aim of this project is to make an efficient LIDAR sensing system for Self-driving cars that is capable of mapping its surroundings, navigating through the path, and reaches the destination automatically. Through scan matching, the robot detects a previously visited location and creates one or more loop closures along its path. To plan a path through an environment effectively a probabilistic roadmap (PRM) identify an obstacle-free path from a start to an end point, the PRM method employs a network of connected nodes. The obstacle locations given in the Map are used to link the nodes. The findings are shown on a low-cost Autonomous RC Robot that runs on the ROS Kinetic running on a Raspberry Pi and YDLIDAR X2 in the front top part. This low-cost autonomous bot is equipped with capabilities such as Simultaneous Localization and Mapping, Path Planning and Following, allowing it to autonomously reach its destination once it is marked on the map.

Autonomous Energy-Efficient Wireless Sensor Network Platform for Home/Office Automation
Authors:-Shaik Mohammed Shahed, Mohd Abdul Sattar, MohdAnas Ali

Abstract-Smart homes and workplaces can aid people in living and working more comfortably with WSNs. Sensors, microcontroller, radio, and antenna are used in these applications to regularly detect, data from a dispersed network of low-power, low-cost, highly energy-efficient electronic platforms to a distant host station for pre-processing and transmission. To address future Internet-of-things (IoT) application requirements, an integrated photovoltaic panel with a rechargeable battery and a power-efficient architecture is provided, which necessitates a large number of interconnected wireless networks being designed and implemented to be energetically self-sufficient.

Bio-Geography Based Page Prediction Using Web Mining Feature
Authors:-Trivene Khede, Dr. Avinash Sharma

Abstract-Website is god place to reach the audience of any field. Many of companies are using this platform for different business. Retaining a web visitor on website depends on available content and intelligence of site. This paper has developed a intelligent model that can predict the web page by understanding the behavior of the user. Biogeography optimization genetic algorithm was used to predict the web page as per past user visits. This work uses web content and web log feature of the website for evaluating the fitness value of genetic algorithm chromosomes. Experiment was done on real dataset with different size. Result shows that proposed model has improved values of different evaluation parameters.

Optimization of Hybrid Renewable Energy Systems (HRES) Using PSO
Authors:-M.Tech. Scholar Anit Kumar Vaishya, Prof. Vinay Pathak

Abstract-Present paper aims to discuss scope and limitations of photovoltaic solar water pumping system. Components and functioning of PV solar pumping system are described. In addition, review of research works of previous noteworthy researchers has also been done. Irrigation is well established procedure on many farms in world and is practiced on various levels around the world. It allows diversification of crops, while increasing crop yields. However, typical irrigation systems consume a great amount of conventional energy through the use of electric motors and generators powered by fuel. Photovoltaic energy can find many applications in agriculture, providing electrical energy in various cases, particularly in areas without an electric grid. This thesis proposes a single stage grid interactive solar powered switched reluctance motor (SRM) driven water pumping system with an efficient control technique. The control of proposed system provides the proficient maximum power point technique (MPPT) tracking and motor drive control with bidirectional power flow between the photovoltaic (PV) array and single phase grid. It has harmonics components elimination, improved dynamic performance and a DC offset rejection capability compared to other control. A PV feedforward term is also incorporated in developed control to enhance the dynamic performance of the system and to minimize the size of DC link capacitor with improved MPPT performance. The novel scheme of fundamental switching of SRM drive over its maximum operational time (when the grid is present) makes system efficient and reliable. An improved perturb and observe (P&O) based maximum power point tracking (MPPT) algorithm is used in this system to minimize the undesirable losses in a PV array specially under varying insolation levels. The proposed control is tested on a developed prototype and its suitability is authenticated through simulated and test results under various conditions.

Home Automation Based on IOT
Authors:-Ankita Jaiswal, Mr. Shailendra Singh Bhalla

Abstract- Home automation in order to help maintain comfortable living conditions within a home. One can achieve home automation by simply connecting home appliance electrical devices to the internet or cloud storage. The reason for this surge demand of network enabled home automation is reaching the zenith in recent days for its simplicity and comparable affordability. Platforms based on Internet of Things help to connect to the things surroundings everyone so that one can find it easy to access anything and everything at any time and place in a user friendly manner using custom defined portals. The most significant ones are the thermal comfort, which is related to temperature and humidity, followed by the visual comfort, associated with air quality. The proposed design uses the platform for collecting and visualizing monitored data and remote controlling of home appliances and devices. The selected platform is very flexible and user-friendly. The most significant ones are the thermal comfort, which is related to temperature and humidity, followed by the visual comfort, associated with air quality.

Security Issues in Internet of Things
Authors:-Hardika Juneja

Abstract- Internet of things is used everywhere in every place today be it home, office or a company at large. Our whole lives are becoming dependant on this emerging technology and we are developing and progressing due to such great advancements in this field. Scientists thought that year 2015 would be an important year marked in the history for the development of IOT but then the increased issues in the security issues of IOT caused this pause in this advancement. Media was already ready to expose the real picture of the security issues behind IOT out in the public, but they were proved wrong. IOT security is a big issue today but at the same time it should not stop you from building your IOT applications, although testing and security has an important role but then we can always look out for feasible solutions rather than stopping the people and ourselves from launching new IOT applications. Security related problems in IOT are an important issue that needs to be solved, we need to find out properly what the problem is and then apply the most effective solution to solve the issue. Here an attempt is made to find out all such problems and then identify their particular solutions. Some security issues that are discussed here are Encrypting the data, Authentication of information, Side-channel Attacks, Hardware Issues, Public Perception and Vulnerability to Hacking.

A Comparative Study on Maximum Power Point Tracking Techniques for Utility Grid Connected Photovoltaic Systems using ANFIS and INC Method
Authors:-M. Tech. Scholar Mr. Aravind Khote, Asst. Prof. Ms.Shalini Goad

Abstract- It is a well-known fact that the dependency of non-renewables sources needs to be reduce to deal with global warming. Solar energy is one such option which is in abundance in India. Solar PV cell are utilised to trap this energy and convert it to electrical energy. The PV cell has the ability to convert near about of 20 % of solar energy to electrical energy. The output of PV cell depends on solar irradiation and panel temperature and panel terminal voltage, based on which MPP can be attained. Hence work is to be done to achieve that point operation for MPPT.This work presents a comparative study between two maximum power point tracking (MPPT) methods in MATLAB/Simulink program that are incremental conductance method and genetic algorithm-based method. The study is performed with variable irradiation and temperature. On simulation, the results obtained are found to give boost converted output voltage of 502.13 V for ANFIS MPPT method and 501.50 V for INC MPPT method. In addition, the output power of boost converter for variable irradiation is found out to be 92.26 KW for ANFIS and 90.41 KW for INC respective only comparison results, ANFIS has clear upper hand over P&O method in terms of performance.

Brain Tumor Detection and Segmentation Using Nobel Approach of Soft Computing
Authors:-Research Scholar Asif Manzoor Qadri, Asst. Prof. Shaveta Bala

Abstract- These days one of the major concerns for human life is the disease of cancer. The growth of cancer patients is increasing day by day. There are many reasons behind the cause. There are two different kinds of brain tumors which are benign type and malignant type. Benign tumor feature is that it increase in size very slowly and do not spread to neighboring tissues while malignant tumors increase is size very fast and possibly spread to other nearby organs. For treatment of brain tumors different methods are used like radiotherapy, chemotherapy and many more. Treatment of brain tumor is dependent on accurate detection, type, age, location, size and experience of physician. In the present proposed work an intelligent system is designed with the use of soft computing techniques to automatically detect brain tumor present in the human brain. The proposed technique will filter the input image and then segments the image. After this process different features are extracted to find whether the tumor is present or not in this image. The proposed technique will be compared with other well known technique to find the worthiness of proposed brain tumor detection technique.

Cloud Computing in Banking Sector – A Case Study
Authors:-Abhishek Oberoi, Yash Dave, Bhargav Patel, Mohammed Anas

Abstract- The advent of cloud computing has changed the way it meets the requirements of IT. Cloud Computing has emerged as a new era in IT and is high on the agenda of all CIOs. Many banks now use cloud technology to achieve their various goals. Cloud technology provides business models that deliver new customer experience, efficient collaboration, improved marketing speed and improved IT efficiency. Using cloud computing banks can create a flexible and fast banking environment that can respond quickly to the needs of a new business. This article provides a useful insight into how cloud computing can be used in the banking industry, the various business models associated with it, and the challenges the banking industry faces in adopting this technology.

Review Article to Road Ways Pavements Design and Soil Penetration Analysis Using FEM
Authors:-M. Tech. Scholar Ritu Bhalavi, Asst. Prof. Mohit Verma

Abstract- Because of a substantial volume of commercial vehicles likely to use facility, the pavement structure has to receive careful consideration in design and choice of materials forming the pavement. Pavement costs constitute a significant proportion of total cost of highway facility. Hence, great care is needed in selecting right type of pavement and specification for the various courses that make up the pavement. The choice of pavement type, whether flexible or cement concrete, therefore, has to be very carefully exercised. Pavement associated traffic safety factors include skid resistance, drainability against hydroplaning, and night visibility. Cement concrete pavement has distinct initial advantage over bitumen pavement in this regard, as surface texturing forms integral part of the normal construction practice for such pavements. They also have superior night visibility by virtue of their lighter colour. Poorly designed and constructed concrete pavements are known to have very long service life. The cement concrete road constructed in the country in the past, though extremely limited in length, have an excellent service track, having given good service under condition much sever than those for which they are originally intended.

Review Paper on Solar Seawater Desalination by Using Reverse Osmosis
Authors:-Prof. K. S. Kamble, Shivam Pawar, Shubham Sawant, Siddhant Narkar, Prathamesh Rane

Abstract- Desalination plants are providing very effective solution to meet the required demand of drinking water from saline water. It focuses on design and modelling of portable solar based Reverse Osmosis (RO) desalination plant. The proposed plant is run by a stand-alone Solar system with battery storage. The total energy requirement of the plant is estimated to predict the capacity of solar panel, sizing the charge controller, power supply, and storage system. Purification of saline water using solar powered desalination methods is an efficient solution to the water scarcity at ships, which represents a promising sustainable solution of desalination plants.

Cloud-Agnostic Solutions for Multi-Biometric Systems: A Java-Based Approach
Authors:-Dr. Vinayak Ashok Bharadi

Abstract- This paper presents a cloud-agnostic architecture for managing multi-biometric systems, focusing on scalability, modularity, and interoperability. Building on Manchana’s 2020 research, the framework leverages Java-based design patterns, including Singleton and Factory, to enable seamless deployment across multiple cloud platforms. The proposed solution facilitates dynamic workload distribution and device management, addressing the challenges of real-time biometric processing in resource-constrained environments. The results demonstrate enhanced scalability and adaptability, with the framework supporting up to 100,000 biometric records and ensuring efficient system performance under high loads.

DOI: 10.61137/ijsret.vol.7.issue5.712