International Journal of Science, Engineering and TechnologyBiodegradation Capacity of Bacillus Sp. VC2 for Polythene Degradation
Authors- Christian Venisha V., Rathod Zalak R., Makwana Sonal K., Thakkar Aarti V.
Abstract- Plastics are vital hydrocarbons occurring both in natural as well as in synthetic forms. The present study describes the isolation of bacteria from soil and sludge with the ability to degrade biodegradable plastics. Biodegradable plastic was buried in the glass bottle with three layers of different soil like Rhizospheric soil, Sludge and Garden soil for 4 months. The bacteria was then isolated and identified on the basis of biochemical studies as Bacillus sp. VC2. The bacteria Bacillus sp. VC2 breaks the polymers and used as sole carbon source for their metabolic activities was estimated by FTIR analysis.
A Study of Two Area Inter-connected Power System
Authors- M.Tech. Student Nihal Mishra , Asst. Prof. Rohit Gupta , Associate Prof. Anand Singh
Abstract- Because of mechanical contamination our living climate demolished. An electric lattice framework has may essential hardware like generator, engine, transformers and burdens. There is consistently be an irregularity between sending end and accepting end framework which cause framework insecure. So this mistake and deficiency causing issue ought to be settled and adjusted as quickly as time permits else it makes flaws and framework blunder and fall of productivity of the entire force framework. The primary issue created from this deficiency is deviation of recurrence cause shakiness to the force framework and may make perpetual harm the framework. Accordingly this instrument concentrated in this paper make the framework stable and equilibrium by managing recurrence at both sending and getting end power framework utilizing programmed age control utilizing different regulators considering a two zone warm force framework.
Efficiency and Connectivity Enhancement in Wireless Sensor Networks
Authors- M.Tech. Scholar Nishu Damral, Asst. Prof. Sonal Sood
Abstract- – In our work, we have to study the method for traffic management in wireless sensor networks to improve efficiency and enhance end to end connectivity using delay tolerant networks. In such type of networks, different number of nodes are grouped , the information is collected and directed from source to destination following the routing protocol. We have used map based movement approach for path choosing and to analyze the shortest path for information delivery to avoid overhead ratio. This technique is useful when a fraction of sensor nodes are deployed with information that has to set up a secure connection as the operation of the network progresses. Network efficiency is improved specially incase of total network disruption during natural calamities or disasters where end to end connectivity with security is crucial.
Neural Networks: Types and Applications
Authors- M.Tech. Scholar Aparna Mohan
Abstract- – Deep learning consists of different types of neural networks, which are used for different purposes. There are many commonly used topologies in neural networks. Perceptron, Feed Forward, Radial Basis Network, Deep Feed Forward, Recurrent Neural Network etc are some of the topology types. Neural Network can be defined as deep learning using artificial intelligence.
Survey on Dynamic Adhoc on Demand Distance Vector Routing Protocol Designed for Mobile Adhoc Network
Authors- Asst. Prof. Rahul Mukherjee
Abstract- – A Mobile Ad-hoc Network (MANET) is an assembly of wireless mobile nodes forming a temporary network without using any centralized access point, infrastructure, or centralized administration. Data transmission between two nodes in MANET’s may requires multiple hops as the node’s transmission range is limited. Mobility of the different nodes makes the situation even more complicated. Multiple routing protocols especially for these conditions have been developed during the last few years, to find optimized routes from a source to some destination.
Analysis of Hippe (M40) Biodiesel on Tribological Property of IC Engine Components
Authors- Post Doctoral Fellow Dr. Venkata Sundar Rao K, Prof. & Head Dr. Shreeprakash B
Abstract- – The internal combustion engine is a heat engine that converts chemical energy into mechanical energy, usually made available on a rotating output shaft. Chemical energy of the fuel is first converted to thermal energy by means of combustion or oxidation with air inside the engine. This thermal energy raises the temperature and pressure of the gases and the high-pressure gas then expands against the mechanical mechanisms of the engine. This expansion is converted by the mechanical linkages of the engine to a rotating crankshaft, which is the output of the engine. The crankshaft, in turn, is connected to a transmission and/or power train to transmit the rotating mechanical energy to the desired final use. In the present work, the surface roughness of the IC Engine components has been recorded for diesel and blend of 60% Diesel+40% Hippe oil. The use of the blend of 60% Diesel+40% Hippe oil has better tribological properties of the IC Engine components as compared to the diesel as a fuel. Hence the blend of 60% Diesel+40% Hippe oil could be used as an alternative bio-fuel to reduce the pollution effects and material wear of the components
Preliminary Phytochemical Investigation of Extraction from Citrus limon
Authors- Rathod Zalak R., Christian Venisha V., Makwana Sonal K., Saraf Meenu S.
Abstract- – The present study is aimed to investigate the phytochemicals present in hexane, chloroform, ethyl acetate, acetone and methanolic extracts obtained from fruits and leaf of Citrus limon plant. The plant material was extracted with various solvents based on their polarity by the process of maceration method. Preliminary phytochemical analysis was performed by different qualitative methods. Preliminary phytochemical analysis of the extracts revealed the presence of carbohydrates, tannins, alkaloids, saponins and phenolic compounds. The study will provide referential information for the correct identification of the bioactive compounds and suitable solvent system for separation of those compounds from the fruit and extract of Citrus limon.
IOT: A REVIEW
Authors- Research Scholar Indu Maurya
Abstract- IOT is a growing mechanization in the globe. Since various appliances are fused collectively to shape an inter-connection of an information centre. IoT mechanization is rising gradually because the gadgets associated to the web are rising instant to instant. This study talked about a variety of safety constraints wherein IoT system performs a nasty module. A lot of members talke about the safety isue of it however did not discover the systematic clarification. It is the only surprising reality that by means of rising skill there would be safety features connected through it as well as can be watched out from instance to instance. No system in the globe is hundred percent exact in the implementation area. This studt replicates illumination on the IoT as well as its safety features.
A Survey On Brain Tumor Detection Using Various Deep and Machine Learning Algorithm
Authors- Nishchay Agarwal, Lokesh Kumar, Akansha Singh, Hemant Kumar, Mukul Chauhan, Abhishek Dubey
Abstract- The human brain is the central nervous system; a collection of white fragments of cells. A group of growing cells is found abnormally in various parts of the brain known as Glial cells, neurons, lymphatic tissue, blood vessels, pituitary glands that can lead to cancer in humans. Diagnosis of a brain tumor is a particularly challenging task in the early stages of life. But now it has improved with various machine learning and in-depth reading skills. Now the release date of automatic brain tumor screening is of great interest. To diagnose a patient’s brain tumor, we look at patient data such as MRI images of the patient’s brain. Here our problem is to determine whether the tumor is present in the patient’s brain or not. The isolation, detection, and removal of the infected plant area from magnetic resonance imaging (MR) are very important but tedious and time-consuming processes performed by radiologists or clinical specialists. In this paper, we focus mainly on existing proposed machine algorithms and depth learning algorithms proposed by various authors to build brain tumor detection and classification.
Heart Disease Prediction Using Machine Learning Algorithm
Authors- B.Tech. Research Scholar Vaibhav Raj
Heart disease is a common problem which can be very severe in old ages and also in people not having a healthy lifestyle. With regular check-up and diagnosis in addition to maintaining a decent eating habit can prevent it to some extent. In this paper we have tried to implement the most sought after and important machine learning algorithm to predict the heart disease in a patient. Weighing only 300 grams, Heart is declining the mortality rate at a rapid pace from decades. The major factors that contribute to it are smoking, drinking, unbalanced diet, and many more. Even with these more technical advancements the analysis of the clinical data is a critical challenge. With the use of Machine Learning techniques, it is possible to analyse the data and interpret the cause that lead to heart diseases such as Coronary Heart Disease, Arrhythmia, and Dilated Cardiomyopathy. Many researchers are developing loT enabled hardware to predict these diseases using various ML and DM techniques. In this study, we propose a novel method to determine the disease using Cleveland Heart Disease Dataset by combining the computational power of various ML and DM algorithms and concluded that among all the algorithms, K Nearest Neighbors gives the highest accuracy of 87%. Along with this, a web app is developed using flask in python with which the user can enter the attributes and predict the heart disease.
Data Visualization using Tableau pragmatic for COVID-19
Authors- Pankhuri Rastogi, Shivali Pundir, Santosh Yadav, Chandan Kumar
As we know that Coronavirus circumstances has untwisted across the world , data visualization & virtualization has really become important for the people to understand & see that data alike emulates reality. Amidst this global pandemic , people wants to know the answers of their inquisitive questions which are uprising in their minds & for that , Tableau is an important & impressive data visualization software , as it not only helps in visualizing the collected data quickly but simultaneously add on to do it an understandable , interactive and coherent way . In this paper, Covid-19 (Coronavirus) analysis with Tableau, we will create dashboards that will help you pin down the story within our collected data & will help you to understand that Coronavirus has entirely impacted across the globe . In this paper, we focus mainly on existing proposed data visualization algorithms and methods proposed by various authors to visualize coronavirus detection and classification.
A Review of Piston and its Function Using Tungsten Alloy
Authors- M.E. Scholar Sachin Prajapat, Dr. Pardeep Kumar Patil, Dr. Rahul Joshi, Mr. Vishal Wankhede
Piston is the part of engine which converts heat and pressure energy liberated by fuel combustion into mechanical works. Engine piston is the most complex component among the automotives. This paper illustrate design procedure for a piston for 4 stroke petrol engine for hero splendor – pro bike and its analysis by its comparison with original piston dimensions used in bike. The design procedure involves determination of various piston dimensions using analytical method under maximum power condition. In this paper the combined effect of mechanical and load is taken into consideration while determining various dimensions. The basic data of the engine are taken from a located engine type of hero splendor –pro bike.
Survey on Sentiment Analysis of Twitter Data
Authors- ME Scholar Kratika Patidar, HOD. Kamlesh Patidar
Everyday a huge amount of data has been produced over various social sites. A huge number of users share and tweet regular updates on twitter. Tweet is a short way of expressing thoughts on any topic. So, the sentiment analysis of this data is must to keep track of the tweets. Sentiment analysis is the way to carry out text mining. To analyze this data produced over the twitter there are many methods that are used. Various experiments have been done to perform sentiment analysis of this data produced over twitter. There are different levels on which the sentiment analysis can be performed. So, in this paper we are providing a survey on the sentiment analysis of twitter data which uses the supervised and unsupervised learning algorithms.
A Novel High Capacity Approach for Reversible Audio Steganography
Authors- Hariom Dudhwal,Asst. Prof. Jayshree Boaddh Asst. Prof. Jashwant Samar
The fast spread in digital information data utilization in numerous genuine applications have encouraged new and successful approaches to guarantee their security. Efficient secrecy can be achieved, at least in part, by implementing steganography techniques. The objective of steganographic frameworks is to acquire secure and robust approach to disguise high rate of secret information. This work mainly focus around digital audio steganography, which has risen as a promising source of information hiding over novel information and telecommunication technologies, for example, audio conferencing, secured voice-over-IP, and so forth. The huge number of steganographic criteria has prompted an awesome assorted variety in these framework design procedures. In this examination work, a novel high capacity approach for reversible audio steganography to enhance the performance of previous digital audio steganographic techniques and the performance of proposed approach is evaluate based on robustness, security and hiding capacity indicators. It is examined by simulation in MATLAB simulation environment that proposed technique outperforms against previous base work in terms of security and capacity.
Dementia Classification using Multiple Transfer Learning Models
Authors- Asst. Prof. Lakshmi R Suresh
Dementiais an irreversible progressive neurodegenerative disorder. Mild cognitive impairment (MCI) is the prodromal state of Dementia, which is further classifed into a progressive state (i.e., pMCI) and a stable state (i.e., sMCI). With the development of deep learning, the convolutional neural networks (CNNs) have Dementia great progress in image recognition using magnetic resonance imaging (MRI) and positron emission tomography (PET) for diagnosis. Rather than training an entire model from scratch, transfer learning approach uses the CNN model by fine-tuning them, to classify MR images into Dementia,mild cognitive impairment (MCI) and normal control (NC). The performance of this method has been evaluated over Dementia dataset by changing the learning rate of the model. Moreover, in this study, in order to demonstrate the transfer learning approach we utilize different pre trained deep learning models such as GoogLeNet, VGG-16, AlexNet and ResNet-18, and compare their efficiency to classify Dementia. The overall classification accuracy resulted by GoogLeNet for training and testing was 99.84% and 98.25% respectively, which was exceptionally more than other models training and testing accuracies.
Heart Disease Prediction Using Machine Learning
Authors- Alam Khan, Amit Rai, Alka Joshi,Gaurav Kumar, Ram Narayan
It is well knоwn thаt the heаrt is оne оf the mоst imроrtаnt аnd сruсiаl раrts оf the humаn bоdy. The diаgnоsis оf heаrt diseаse thrоugh the trаditiоnаl methоd hаs nоt been соnsidered reliаble in mаny аsрeсts. In tоdаy’s erа, there аre numbers оf ML аlgоrithms аnd mоdels рresent tо dig оut meаningful infоrmаtiоn tо diаgnоse аnd deсiding. In this рарer, vаriоus mасhine leаrning mоdels like Suрроrt Veсtоr Mасhine (SVM), Lоgistiс regressiоn, K NN(K Neаrest Neighbоur), Nаïve Bаyes, Deсisiоn Tree, аnd Rаndоm Fоrest is emрlоyed. The mоst оbjeсtive оf оur wоrk wаs tо рrediсt the раtient is hаving аny heаrt рrоblem оr nоt sо аfter testing these mоdels, the mоdel with greаter ассurасy is tаken fоr рrediсting the finаl result. Tоdаy the heаlthсаre industry is infоrmаtiоn-riсh hоwever still very рооr in knоwledge оr mоstly the dаtа аre nоt рubliсаlly аvаilаble. This рарer hаs used а Сlevelаnd dаtаset соntаining 303 individuаls аnd 14 аttributes like аge, sex, сhest раin (ср), resting blооd рressure (trestрs), сhоlesterоl (сhоl), etс. With the helр оf these аttributes, оur Rаndоm Fоrest Mоdel with аn ассurасy оf 88% рrоvide the finаl result tо the end-user оn аn interасtive web-аррliсаtiоn designed using HTML, СSS, Flаsk frаmewоrk, аnd JаvаSсriрt. With the helр оf this раtients саn diаgnоsis themselves аt zerо соst. This wоrk will helр the end user tо get the рreliminаry рrediсtiоn оf their heаrt diseаse аnd will sаve them frоm severe соmрliсаtiоns.
A Review on Halotolerant and Halophilic Phosphate-Solubilizing Biofertilizers on Canola(Brassica napus L.)
Authors- Bhadaniya Nidhi, Patel Aakruti, Metaliya Divya, Rathod Zalak.R, Saraf Meenu S.
Phosphorus is the second important key element after Nitrogen and most commonly limiting the growth of crops.Phosphorus-solubilizing microorganisms solubilize inorganic insoluble phosphorus and make them available to the crops. Therefore P-solubilization is a promising strategy for increasing the absorption of phosphorus and thereby reducing the use of chemical fertilizers. A pot experiment was designed to determine the effect of two plant growth-promoting rhizobacteria and their co inoculation on growth criteria of Canola (Brassica napus L.) plant. The result of this pot study showed that inoculation with two plant growth-promoting rhizobacteria (Azotobacter chrococcum and/or Alcaligenes faecalis) increased crop productivity and showed the enhancement in the soluble sugars and proteins even in the saline soil. This review shows that the use of phosphate solubilizing microorganisms as a biofertilizers which are environment friendly instead of chemical fertilizers is beneficial for the future aspects and use of halotolerant plant growth-promoting rhizobacteria increase the growth of crops under salinity stress condition.
Implementation and Performance Analysis of Reconfigurable Montgomery Modular Multiplier
Authors- M.Tech. Scholar Shunhangini Singh, Asst. Prof. Priyanka Jain, Dr. Anshuj Jain(HOD)
Multiplier plays a key operation to check the performance of any processor. This work proposes a simple and efficient Montgomery multiplication algorithm such that the low-cost and high-performance Montgomery modular multiplier can be implemented accordingly. The proposed Montgomery modular multiplier receives and outputs the data with binary representation and uses only one-level carry-save adder (CSA) to avoid the carry propagation at each addition operation. Experimental results show that the proposed Montgomery modular multiplier can achieve higher performance and significant area time product improvement when compared with previous designs.
Survey Paper on Reversible Arithmetic Unit Based on Programmable Gate Structure
Authors- M.Tech. Scholar Sameer Suman, Dr. Anshuj Jain (HOD)
Power crisis is a vital problem in today’s world. In recent years, the growing market of electronic systems suffers from power dissipation and delay removal problem. Bennett et al. proved that the one-to-one mapping between the inputs and outputs of reversible circuit drastically reduces the power consumption and delay consumed of a circuit. There are four major design parameters of reversible circuits. First is the gate count which is the number of gate are used in the circuit. Second is the quantum delay. Third is the number of ancilla inputs which are constant inputs which are used to maintain the reversibility of the device. Fourth is the number of garbage outputs i.e. output signals which are not used as inputs to other gates and are only there to maintain reversibility. In this paper the survey of design central processing unit based on reversible gate and parameter.
Design and Implementation of Data Mining Techniques Used In Criminal Activities for Predictive Analysis
Authors- M.Tech. Scholar Meenu Rai, Associate Prof. Bhawana Pillai
In most of the crime detection and hotspot analysis methods, the crime data are processed using different processing techniques to provide accurate analysis. However, there are many problems that lead to poor performance. The major limitations in the literature are the class imbalance problem and multi-objective problems that occur due to the varying classes resulting in the generation of wrong synthetic minority samples. The utilization of graph based clustering methods results in complete graph processing even when the graph has minor changes, thus becoming complicated for further use. The class imbalance problem has to be resolved and the accuracy of the clustering is needed to be enhanced by introducing an efficient integrated sampling and clustering approach for effective serial crime detection. The near-optimal crime detection is needed to be enhanced by not only considering the crime data but also the social crime datasets collected, thus improving the chances of serial crime detection.
A Implementation of Fiber Reinforced Concrete Using Glass Fiber Reinforced Concrete (GFRC)
Authors- Abdul Rasheed, Asst. Prof. Anuj Verma, Asst. Prof. Mohd Rashid
Fiber reinforced concrete (FRC) is Portland cement concrete reinforced with more or less randomly distributed fibres. Glass fiber reinforced concrete (GFRC) comprises hydration products of cement, or cement plus sand, and the glass fibers. Glass fibers are used are used as reinforcement for concrete. The experimental program is designed to check the effect of length of glass fiber on mechanical properties on M30 grade of concrete i.e. workability, compressive strength, split tensile strength and flexural strength and results will be compared with conventional concrete. Total 17 cubes of size 150mm x 150mm x 150mm, 17 beams of size 100mm x 100mm x 500mm and 17 cylindersof size 150 mm diameter and 300 mm height were casted and tested. It is found that The addition of glass fibers to the concrete not only modifies various properties of concrete like tensile strength, compressive strength but also enhances the binding properties, micro cracking control and also increases spalling resistance. The crack width is reduced to a greater extent. It imparts ductility to a certain extent which can be seen in experimental testing of beams. It tends the beam to bend and thus warning well before failure thereby enhancing safety.
A Analysis Of Collapse Behavior Of G+3 Rcc Building
Authors- Research Scholar Vikalp Sankla, H.O.D Rahul Sharma, Prof. Akash jaiswal
The structural behavior and analysis of multi-storey building components and supporting transfer girders have received added emphasis due to its importance in connection with buildings. The supported transmitter girder acts as either a full-tension member, deep beam, or as a normal beam bent, based on the shape of the upper framework and relevant requirements, including the depth ratio of the transmitter girder (distance), rigidity of the support column, and shear-wall thickness. Progressive collapse is one of the main reasons for the failure of structure. It takes place through burn, blow, or vehicle impact due to removal/ harm to a column or shear wall. This research tested the vulnerability of the structure to progressive collapse using ETABS. Progressive collapse load combination was implemented in compliance with GSA directives. At the floor level and basement of the building corner, edge, and medium columns were withdrawn separately. In order to enhance building efficiency during earthquakes, viscoelastic dampers may be used. The impact of viscoelastic dampers on the progressive resistance to collapse is measured in the present analysis. For critical systems, this analysis may be helpful.
Lived Experiences of the Elementary Teachers in a Remote School
Authors- Edna B. Equipado, Sherill Asis-Gilbasjaiswal
Abstract- This study determined the lived experiences of elementary teachers in Cawayan Elementary School. It utilized qualitative research methods and applied phenomenological approach. The six teacher participants came from a chosen and identified remote school, Cawayan Elementary School in Irosin, Sorsogon. The main instrument used in this study is the interview schedule and guide questions prepared by the researchers. The guide questions are focused on the lived experiences in terms of daily sustenance, transportation, security, community relationship and how those factors affected their delivery of instruction. Certain theme was identified under each category. It was concluded that the lived experiences of the elementary teachers directly affected their delivery of instruction. The proposed three- year development plan based on the project PAGMANGNO includes wellness programs on both physical and mental health that may be organized by the respective DepEd districts particularly for de-stressing of the teachers assigned in remote areas.
Production Planning and Process Improvement in Shop Floor towards Productivity Improvement
Authors- M.Tech. Scholar Sourabh Khare, Prof.Sachin Jain
Abstract- Production planning critically enables a business to balance capacity with demand so maximising its potential by using the most effective process and managerial operations, with a strong workforce, robust controls, happy customers and optimal profits. The aim of this study is to study and implement the lean tools and to reduce lead time without much affecting the current working systems in a small scale automotive component manufacturing industry. In this study, an attempt was made in increasing the capacity of a machining cell with appropriate lean techniques. The enhancement of capacity was to be completed with zero capital investment. Findings: A lean approach by using value stream mapping and line balancing was adopted to improve the performance of the manufacturing cell. By collecting the past production data and deciphering the information, gaps were identified for enhancement. Single Minute Exchange of Dies (SMED) was used to regulate the production and Kaizen was also introduced in all work stations. Leveled operator loading for output consistency was suggested. Finally capacity intensification was achieved without any major capital investment. Application/Improvements: Implementation of lean tools reduced the setup time and idle time. The overall lead time got reduced from 6.9 days to 3.6 days and total cycle time got reduced from 170 to 140 minutes and the customer demand was also met on time by the execution of lean tools.
Optimization of Process and Flow Of Goods In Logistics Supply Chain Management
Authors- M.Tech. Scholar Kamlesh Thakre, Prof.Sachin Jain
Abstract- Logistics management is the part of supply chain that arranges, actualizes, and controls the proficient, powerful forward, and turns around stream and capacity of merchandise, administrations, and related data between the purpose of inception and the purpose of utilization with a specific end goal to meet client’s requirements. The main goal of the study is to investigate the implementation of bearing material supply system in local industry with simultaneous pick-up and delivery within time limitation and examine its effects on overall performance and total cost. Our aim is that the conduction of the research provides optimization of the supply chain network for the development of bearing logistics in industry as an alternative system.
To Investigate Some Critical Risk Factors in Supply Chain Management
Authors- M.Tech. Scholar Abhishek Chourey, Prof. Sachin Jain
Abstract- SCM is a cross-function approach including managing the movement of raw materials into an organization, certain aspects of the internal processing of materials into finished goods ,and the movement of finished goods out of the organization and toward the end-consumer. The prime objective of this study is to Study of critical risk factors in SCM and To examine the effectuation of cost in SCM. The role of various critical risk factors in the manufacturing productivity in the organizations is also analyzed. . The literature review has indicated that there is less use critical risk factors in the small scale industries. In this study, initiative has been taken to implement the various risk factors in the manufacturing industries. After identification of the rese arch gaps, the objectives of the study are formulated. This analysis yielded some useful results which are implemented to improve the existing processes.
Survey on Optimizing Headway using Communication Based Train Control system
Authors- Student Amit Shrivastava, Prof. Anshuj Jain, Prof. Ankit Tripathi
Abstract- The CBTC System should adopt and develop an information security framework, security plan and a thorough SDLC process that integrates risk management for protection against malicious and inadvertent manipulation of data transmitted over ISM bands to maintain the confidentiality, availability and/or integrity of CBTC and wireless data transmission. This plan must be regularly reviewed, updated and accepted through a process of security certification, access control, gateway security, communications security, physical security, accreditations and certifications. The manipulation may be caused by malicious activity like intrusion, hacking, phishing, wireless signal jamming, physical tampering, damaging critical communication cable or nodes; accident or natural disaster. demonstrate practically, the ability of the system to proactively detect, contain, eradicate and recover from a security breach. The CBTC shall define procedures for assured operations and continuous monitoring of the security controls.
A Review Study on Simulation Analysis of Connecting Rod of Engine
Authors- PG Scholar Sudheer Singh Kushwah, Prof. C. S. Koli, Prof. Amit Agrawal
In the previous literature survey, this study explains components such as connecting rod of the inner combustion engine. The rod used to transfer the piston’s reciprocal motion to a rotary crankshaft motion. The piston thrust is passed to the crankshaft. All vehicles using an internal combustion engine. Depending on the number of motor cylinders, they need at least one connecting rod & no connection wire. Connecting rods are typically made from either steel or metal coated. They might be cast, as well. Nevertheless, castings could have blown holes that are harmful from the viewpoint of toughness and fatigue. The fact that it is blow hole free and better rods made gives it an advantage in comparison to casting rods.
A Review Study of Laminated Composite Plate Analysis with Different Materials
Authors- PG Scholar Sunil Sharma, Prof. C. S. Koli, Prof. Amit Agrawal
Abstract- Important terminology for laminated composite plates is mentioned in this article. Laminated composite plate systems discover a broad variety of applications in the aerospace, defence and manufacturing industries. The portion of the transverse shear is important in composites, since the material is poor in shear due to its low shear modulus, which is equivalent to the unbending nature of the extension. Subsequently, a detailed description of their auxiliary actions, such as deflections and stress, is required. From the present Literature Review the effect of folding, buckling, thermal and hydrothermal on composite plates studied and various speculations such as Classical Plate Theory, First Order Shear Deformation Theory and Higher Order Shear Deformation Theory and so on for composite plate analysis are suggested.
A Implementation of Next Generation Mobile Broadcasting Services
Authors- M.Tech. Scholar Shivani Soni, Mr. K. K Sharma
Abstract- The demand of mobile user is ever increasing in this world of digital systems. Consumers demand more from their technology. Whether it is a television, cellular phone, Washing machine or refrigerator, the latest technology purchase must have new features. With the advent of the Internet, the most-wanted feature is better, faster access to information. The time not far away when access to all necessary information and the power of a personal computer, sits in the palm of one’s hand. To support such a powerful system, we need pervasive, high-speed wireless connectivity. In the present scenario existing technologies are capable of performing functions like broadband data access, supporting voice traffic using voice over IP (VoIP), in mobile environment etc., but there is a great requirement of integrating all such technologies into a single combined system. 4G promises a solution to this problem by seamlessly integrating the terminals, networks and applications. This paper presents an overall study of the 4G systems, architecture, standard, benefits, challenges in implementation, design for the LTE and WiMAX technologies, Security issues and future scope of 4G technologies.
A Review on Role of Arduino Uno Used in Dual Axis Solar Tracker
Authors- Rushikesh S.Rakhonde, Pranay R.Lakde, Suraj K.Badwaik, Akshay B.Ronghe, Dipak P. Sonule, Asst. Prof. C. J. Shende
Abstract- The Arduino Uno is an open-source microcontroller board based on the Microchip ATmega328P microcontroller and developed by Arduino.cc. The board is equipped with sets of digital and analog input/output (I/O) pins that may be interfaced to various expansion boards (shields) and other circuits. The board has 14 digital I/O pins (six capable of PWM output), 6 analog I/O pins, and is programmable with the Arduino IDE (Integrated Development Environment), via a type B USB cable. It can be powered by the USB cable or by an external 9-volt battery, though it accepts voltages between 7 and 20 volts. It is similar to the Arduino Nano and Leonardo. The word “uno” means “one” in Italian and was chosen to mark the initial release of Arduino Software. The Uno board is the first in a series of USB-based Arduino boards; it and version 1.0 of the Arduino IDE were the reference versions of Arduino, which have now evolved to newer releases. The ATmega328 on the board comes pre programmed with a boot loader that allows uploading new code to it without the use of an external hardware programmer.
Jaccard Coefficient Based Cloud Malicious Node Detection by Mutual Trust Feature
Authors- Sidharth Mohan, Asst. Prof. Jayshree Boaddh, Asst.Prof. Jashwant Samar
Abstract- Cloud environment increases flexibility for various application, organization, implementation, monitoring, etc. Cloud feasibility raises many issues that attracts researcher to provide solutions. This paper has work on unreliable cloud where nodes can provide service to users. Reliability of nodes in a cloud depends on services offered, job completion, etc. So a mutual trust value was evaluated in a specific time period for each node. Based on jaccard coefficient mutual trust value selection of node class either real or malicious was evaluated. Time period based node classification reduces the data storage hardware and increases the working efficiency of cloud, as malicious node removed timely. Experimental values of proposed model was compared with existing model and result shows that proposed model detect malicious node in less session.
BFPSO Based Selected Features for Training of Intrusion Detection System
Authors- Harsha Verma, Asst prof. Mr. Atul Barve
Abstract- Digital world increases the dependency of users on communication network infrastructure. Security of network plays an important role for increasing the reliability and flexibility. Many of researchers are working on different network related issues and proposed various algorithms, protocols. This paper has resolved the network intrusion issue by developing a hybrid intrusion detection model of genetic algorithm and neural network. Butterfly Particle Swarm Optimization (BFPSO) was used in the model for finding the feature set that help in dimension reduction of input dataset. Cognitive, social parameter of butterfly increase the velocity updation function efficiency, so feature selection crossover operation in BFPSO get improved. Selected feature set was used for generating the training input matrix of Multiplayer neural network model. Optimized feature set of neural network model has increases the learning capacity of proposed intrusion detection model. Experimental work was done on MATLAB software and NSL-KDD dataset was used. Results shows that proposed model has increases the accuracy of detection.
A Review of Productivity Improvement in Manufacturing Industry Using Work Study Technique
Authors- M. Tech. Scholar Ashok Kumar Ghodki, Prof. Dr. Jitendra Pandey
Abstract- Work study is the systematic examination of the methods of carrying out activities so as to improve the effective use of resources and to set-up standards of performance for the activities being carried out. It is one of the most powerful tools that management can use to improve productivity. By the application of method study and time study in any organization, we can thus achieve greater output at less cost and of better quality, and hence achieve higher productivity. In this study, The prime objective of this study are to Reduced machine idle time, Increase productivity, Reduce worker’s fatigue. Establish the standard performance methods and standard cycle time involved, optimally use equipment and manpower, and Eliminate wasteful efforts, as well as useless handling material. The study area includes production lines of Gear manufacturing. This production line includes 5 machining centers, and 1 CMM machine for inspection.
Flow Characteristics through Grassed Open Channels
Authors- Manal Gad, Prof. Mohamed, F. Sobeih , I. M. H. Rashwan,
Esam Helal
Abstract- Vegetation in waterways plays a significant role in improving and restoring the waterways environs. But, in open channel flow, vegetation often causes flow resistance changes. The main objective of the present paper is to study the flow characteristics Manning coefficient, velocity ratio, submergence ratio, and relative top width of the natural canal for two cases. In the first case, there is no grass in the canal and the second case is canal with different heights of vegetation. The common kind of vegetation in the present study is Polygonum Serrulatum. The two cases were examined under different water discharges with variable water depths. The measured discharges in the field ranged from 11.9 to 129.25 L/s. Velocities for different water depths were exactly measured every 100 m long in the longitudinal direction and every 0.5 m in the cross-sectional direction. It is found that, the value of the Manning coefficient in case of studying the grassed canal ranged from 0.014 to 0.4302 and ranged from 0.0123 to 0.081 in the case of un-grassed canal. The values of Manning coefficient increase with increasing value of grass height. The values of the Manning coefficient in case of un-submerged vegetation with grass height equal to 67 cm, 90 cm, and 115 cm are greater than submerged vegetation with other heights. Using the Statistical Package for the Social Sciences (SPSS) program empirical formulas were derived to determine the flow characteristics.
Productivity Improvement in Manufacturing Industry Using Work Study Technique
Authors- M.Tech. Scholar Ashok Kumar Ghodki, Prof. Dr. Jitendra Pandey
Work study is the systematic examination of the methods of carrying out activities so as to improve the effective use of resources and to set-up standards of performance for the activities being carried out. It is one of the most powerful tools that management can use to improve productivity. By the application of method study and time study in any organization, we can thus achieve greater output at less cost and of better quality, and hence achieve higher productivity. In this study, The prime objective of this study are to Reduced machine idle time, Increase productivity, Reduce worker’s fatigue. Establish the standard performance methods and standard cycle time involved, Optimally use equipment and manpower, and Eliminate wasteful efforts, as well as useless handling material. The study area include production lines of Gear manufacturing. This production lines includes 5 machining centers, and 1 CMM machine for inspection. The line production is lagging behind the target due to line imbalance. So time study technique has been decided to measure the work. Present study was done at MGM industry Bhopal on application of time and work study technique, because of its high non value added time in an operation. After implementing the suggested improvement ideas the firm is able to increase its productivity by 27.77%. With the help of recorded observation and discussion with manager of the company, improved flow process chart are suggested.
Attitude of Post Graduate Level Students of the University of Kalyani towards CBCS
Authors- Tamalika Bhowmick
Abstract- The present higher education system and curriculum does not impart the necessary skills that would make the students employable adequately. In addition, the students don’t learn to think out of box and an analyse on their own. The University Grant Commission (UGC) has made it mandatory to be implemented choice based credit system (CBCS) in all the undergraduate (UG) and postgraduate (PG) courses under the XI plan of Higher Education. The descriptive survey method has been used for conducting the study. The sample size is 200 out of which 100 Girls and 100 Boys students from the PG Departments. The Purposive sampling techniques had been used for choosing sample. Education is not the end of process but an integral part of Educational spiral and a well-designed system of evaluation is a powerful Educational device. Choice Based Credit System is essential for Higher Education. This system increases the sincerity among the teacher as well as the students. It has improved the academic carrier of many students who were not even much sincere and good percentage holder. In CBCS the span of time which can be allotted for increased so that course of study can be properly acquired by the student.
A Systematic Literature Review of Emerging Energy Efficient Approach for Cloud Data Centers
Authors- Nurun Nahar, Ahmed Afif Monrat, MD Masuduzzaman, MD Shakib Mahamud
Abstract- On a pay-per-use model, cloud computing has emerged as a popular paradigm for providing IT infrastructure, tools, and services. The broader adoption of cloud and virtual- ization technology in recent years has led to the establishment of massive data centers with tremendous energy usage, affecting not only high operating costs, but also adding to the environ-ment’s carbon footprint. Energy efficiency is, therefore, becoming increasingly important for cloud data centers. This paper pro-vides a detailed overview of power management techniques to optimize energy consumption in datacenters. We discussed some elementary issues regarding cloud computing and data centers, for example, data center energy savings technologies, resource allocation and scheduling algorithms, provisioning policies and power saving metrics and discussing on recent state-of-the-art models that prove to be efficient for cloud data center.
Structural Design and Optimization of Chassis for Transport Vehicle
Authors- M. Tech. Scholar Mohan Singh, Prof. Ranjeet Kumar (Guide), Dr. R S Sikarwar (Co Guide)
Abstract- In this study, design analysis and shape optimization of ladder chassis frame is analyzed. Static analysis is performed on ladder chassis frame to find out the stress, strain and displacement in a ladder chassis due to acting loads. Solid Works software is used for the modelling of ladder chassis frame and ANSYS is used for the static analysis of ladder chassis fame. Coming to shape optimization, the cross-section of cross-members will be changed accordingly C, T & I and tested for the same. The main goal of the work is to study the different types of chassis, find out the stress, strain and displacement under acting loads on ladder chassis, design and optimize the shape of the chassis towards the weight optimization and to study the effect of changing cross-section of cross members of ladder chassis frame with different material. It is found that the generated stresses are within the permissible limit as yield strength of A710 steel is 455 MPa so design is safe. Deformation is minimum in ladder chassis with C- section and maximum in ladder chassis with T- section. Stress is maximum in ladder chassis with T- section and minimum in ladder chassis with C- section. For weight reduction analysis, minimum weight of Ladder chassis with I-section is 749.47 kg and maximum weight of Ladder chassis with box-section is 1034.1 kg. So with regard to different cross-section of cross-member in ladder chassis, C- section is suitable for trucks.
A Review on Structural Design and Optimization of Chassis for Transport Vehicle
Authors- M. Tech. Scholar Mohan Singh, Prof. Ranjeet Kumar (Guide), Dr. R S Sikarwar (Co Guide)
Abstract- In this study, design analysis and shape optimization of ladder chassis frame is analyzed. Static analysis is performed on ladder chassis frame to find out the stress, strain and displacement in a ladder chassis due to acting loads. Solid Works software is used for the modelling of ladder chassis frame and ANSYS is used for the static analysis of ladder chassis fame. Coming to shape optimization, the cross-section of cross-members will be changed accordingly C, T & I and tested for the same.. The main goal of the work is to study the different types of chassis, find out the stress, strain and displacement under acting loads on ladder chassis, design and optimize the shape of the chassis towards the weight optimization and to study the effect of changing cross-section of cross members of ladder chassis frame with different material. It is found that the generated stresses are within the permissible limit as yield strength of A710 steel is 455 MPa so design is safe. Deformation is minimum in ladder chassis with C- section and maximum in ladder chassis with T- section. Stress is maximum in ladder chassis with T- section and minimum in ladder chassis with C- section. For weight reduction analysis, minimum weight of Ladder chassis with I-section is 749.47 kg and maximum weight of Ladder chassis with box-section is 1034.1 kg. So with regard to different cross-section of cross-member in ladder chassis, C- section is suitable for trucks.
Timetable Generation System and Virtual Submission Using AI
Authors- Gaurav Kumar, Aishwarya Raut, Apeksha Patel
Abstract- In colleges after admission lots of changes happens regarding teachers, subjects, rules, timing and most important time table. Making of new Time table for different timings and new teachers is very difficult work which increases the human work load. If we have an automated system which provide us a time table by providing the information of teachers, subjects etc. will help us to make automated timetable. Proposed system of our project will help to generate it automatically and also it is time saving. It prevents the complexity of setting and managing Timetable manually. we are going to use genetic algorithm in our project to reduce these difficulties of generating timetable. Various inputs like number of subjects, teachers, workload of a teacher, semester, priority of subject will be given to this automated system. With the help of these inputs, it will generate possible time tables for working days of the week for teachers. For online assignment submission of students, by using online method will enable faster and easier submission for students as well as teachers. The virtual queue will be there instead of physical queues. It will ensure an effective management of queues.
The Role of Stress, Depression and Social Support in Students’ Suicidal Ideation among University Students in Malaysia
Authors- Nur Amanina Muhammad Tamizi, Asma Perveen
Abstract- In recent years, suicidal ideation has become a global threat among youth and only few researches has been carried out to link suicidal ideation with psychological disorders and the preventative factors that can buffer suicidal ideation. This current research is to investigate the role of stress, depression and social support in students’ suicidal ideation in 122 university students from Sultan Idris Education University (UPSI), using online computer administration survey. The survey consists of five sections and ethical consideration is taken to avoid any misconduct. The psychological instruments used in this research are Perceived Stress Scale (PSS), Beck Depression Inventory (BDI), Multidimensional Scale of Perceived Social Support (MSPSS) and Scale for Suicide Ideation (SSI). The collected information were then analyzed using descriptive and inferential analysis. The results shows that each variables correlates with one another. The Pearson correlation of PSS and SSI, and BDI and SSI indicated that the variables have a statistically significant linear relationship with r = .240 and r = .548, respectively. Meanwhile, MSPSS and SSI are negatively correlated with r = -.324, which indicated that lower support system, higher tendency of suicidal ideation. All hypotheses are accepted and supported from past researches. Therefore, as a conclusion, stress, depression and social support does play a role in students’ suicidal ideation among university students.
A Review on Hybrid Renewable Energy Sources Microgrid and Energy Storage System
Authors- M.Tech. Scholar Sumit Kumar Mehta, Asst.Prof. Mithilesh Gautam
Abstract- This paper deals with the design and stability analysis of a DC micro grid with battery-super capacitor energy storage system under variable super capacitor operating voltage. The conventional design method reported in the literature considers the rated super capacitor voltage in the modelling and design of controllers. The conventional method of controller design can potentially make the system unstable or introduce ringing in the DC link voltage at low super capacitor voltage. In this the sensitivity of DC micro grid stability with respect to super capacitor voltage variation is analyzed and a control design method is proposed to ensure the stability of DC micro grid in all operating modes. The voltage regulation of DC microgrid is a challenging task in order to prevent circulating current among different distributed energy sources connected in parallel. Another crucial issue is to manage active power among the distributed sources, loads and connected utility grid. Energy storage systems help to combat these challenges. In this work, review on a small scale DC microgrid is considered which is comprised of photovoltaic energy source, local loads and hybrid energy storage system. A decentralized control strategy based on DC bus voltage regulation is proposed for energy management in the system.
Performance Analysis of Low Delay Look Ahead Adder and Ripple Adder
Authors- Amit Chaturvedi, Dr.Vikash Gupta
Abstract- In recent years, a lot of attentions have been attracted by the reversible logic due to the characteristic of zero energy dissipation. in this paper, the author proposed a 16 bit carry look-ahead adder is constructed by four 4 digits groups based on the theory of reversible logic, which has the advantages of theoretical zero power dissipation and high efficiency. this paper focuses on the implementation 16 and bits of highly optimized area efficient ripple carry adder (rca) and carry look ahead (cla) adders. ultimately, we can establish that the carry look ahead adders are so greatest among all the formerly active designs. all these processes will be simulated & synthesized on the ise xilinx 14.7 software.
Learning Phenotype Structure Using Maximal Phenotype Alteration
Authors- PG Student Reny Sam, Asst. Prof. Mr. Shalom David
Abstract- Data mining with microarray technologies can be used for the extracting hidden predictive information and are enabled to continuously monitor the expression rates of all genes. Discovering and studying phenotype structures have become an important problem in the field of microarray data analysis. There are mainly two goals 1) various samples related to various phenotypes such as normal or disease are to be found. 2) For various groups of samples, find the signature or representative expression pattern that will differentiate one group from others. There are several methods proposed, however, some common drawbacks could be identified such as the signatures selected can have a large amount of genes with very low discriminative power. In this paper, the g*-sequence model is improved and updated to address the limitations thereby expression values which are ordered among genes can be utilized profitably, the proposed sequence model could be seen more robust to noise and allows to find the signatures with higher discriminative power using very less genes. An efficient algorithm, Finder with markovian policies is developed, which contains three steps: 1) trivial g* sequences identifying, 2) discovering phenotype structure, and 3) refinement. To further improve efficiency effective pruning is carried out. Real genes and synthetic gene sets could be used to evaluate the performance of finder with markovian policies. The results proves that the approach could be used for phenotype structure discovery with high accuracy and detects signatures with high discriminative power, the orders of magnitude is faster than other alternatives.
Pyrolysis Oil from Waste Tyres as Component of Heavy Fuel
Authors- Galina Grigorova Khamis, Fahed Salem Khamis, Yordanka Tsankova Tasheva
Abstract- Recycling of rubber waste is a very important issue, as such waste is not biodegradable and has a negative impact on the environment. In addition, recycled rubber should be considered as a source of new material with economic impact. The present paper studied the thermal cracking process of waste tyre in laboratory condition. Experiments were conducted at a different temperature range 500 – 650oC and contact time from 180 to 210 minutes. The results indicate that the obtained product(pyrolysis oil) has an application as additional quantities of dark fuels.
Improvement of Power Quality and Voltage Flicker Reduction using D-STATCOM
Authors- Dharmendra Kumar, Prof. Abhishek Dubey
Abstract- In Previous decade numerous research works presented for the improvement of flicker perturbations between different consumers. In this exploration work, an improved D-STATCOM is proposed for the improvement of the problems that are encountered which portrays better power quality of output when compared to other power improvement methods such as STATCOM and others. For the comparison of proposed method, different parameters such as active power, reactive power and the most important constraint with total harmonic distortion. Our THD of recommended method proves to be better and enhanced.
Assessment of Mortar with Partial Replacement of Ceramic Waste Sand with Fine Aggregate
Authors- Boskee Sharma
Abstract- Now a day it is seen that there is a scarcity of the river sand but its demand is high as it is used in making mortar and concrete. To avoid this problem, some alternatives must be find out so that sand could be replaced. Ceramics waste can be one of the alternatives. By using the ceramics waste in mortars, its dumping problem could also be solved which is one of the leading problem. To make the environment green, there must be complete utilization of the waste like ceramics waste sand. This paper deals with the experimental study on the mechanical properties of mortar. In this study the strength and durability of the mortar is checked by the partial replacement of fine aggregate with ceramic waste sand. The replacement will be 50% and 100%. The fly ash is also replaced by cement 25%. The cement sand ratio is taken 1:3 and 1:4. The result shows that durability is improved by using the ceramics waste sand and there is also reduction of shrinkage and permeability.
Literature Survey on Open Loop Converter Controller for Standalone PV System
Authors- Research Scholar Sameer Kumar Prajapati, Asst. Prof. Vivek Kumar Yadav
Abstract- A standalone PV system is preferred over the grid connected system for the residential and rural area load demands. The lot of lots of research is already carried out for the power electronics converter design of renewable energy systems as well as the controller adopted. The various controllers for inverter operation available are Fuzzy logic, PI, PID and MS-PI. All these controllers are for the PV based system and works on the principles of closed loop system. This work proposes an improved inverter voltage controller using open loop control system.
Performance Analysis of Open Loop Converter Controller for PV System
Authors-Research Scholar Sameer Kumar Prajapati, Asst. Prof. Mr. Vivek Kumar Yadav
Abstract- A standalone PV system is preferred over the grid connected system for the residential and rural area load demands. The lot of lots of research is already carried out for the power electronics converter design of renewable energy systems as well as the controller adopted. The various controllers for inverter operation available are Fuzzy logic, PI, PID and MS-PI. All these controllers are for the PV based system and works on the principles of closed loop system. This work proposes an improved inverter voltage controller using open loop control system. This makes the PV inverter system more easy and reliable. Also the inverter is open loop system hence a relay base time dependent controller is proposed here. The inverter is also cable of meet power demand with the variation in load. Based on the results, the proposed controller has proven that its performance is robust and efficient in terms of total harmonic distortion (THD), regulated voltage amplitude in term of oscillation. The harmonic investigation is also performed. The proposed system is validated through simulation results.
CFD Analysis of Heat Transfer in a Pipe Having Finned Tube with Different Fin Profile
Authors- M. Tech. Scholar Piranha Kumari, Prof. Sujeet Kumar Singh
Abstract- The primary interest is to determine how the extended surface (i.e., the fin) will enhance the air-side heat transfer performance of this kind of heat exchanger. It is very important to consider the heat transfer rate (heating or cooling), which is normally limited by the thermal resistance This thesis concerned with computer simulation study of tube with different fins used to enhance their heat transfer performance subjected to natural convection heat transfer. In the present study the performance of a heated pipe having fins of various configurations using ANSYS 16.0 is analyzed. The material under consideration is aluminum and the free stream fluid is air. Base width and height of the fin were kept constant for all the three types. The heat transfer rate from the fins and the overall heat transfer rate has been calculated and compared for various fin configurations. Also the overall heat transfer co-efficient has been found out. Temperature contours for various fin configuration has been plotted showing the convection loops formed around the heated pipe surface. After comparing it is shown that we can find that the best configuration for this type of convective heat transfer of a heated pipe is a trapezoidal fin as they have the highest total heat transfer rate.
A Review on CFD Analysis of Heat Transfer in a Pipe Having Finned Tube with Different Fin Profile
Authors- M.Tech. Scholar Priyanka Kumari, Prof. Sujeet Kumar Singh
Abstract- The heat transfer will depend on the geometry of the fin like length, thickness, cross sectional area, width, spacing between the fins and the operating parameters such as heat supplied to the device, material of the fin, orientation of the fins, temperature difference between the fin and surrounding, number of fins, fin array orientation etc. as the electronic devices and engines developed, heat generated from them increases and while the surface area of the electronic equipment decreases continuously. The primary interest is to determine how the extended surface (i.e., the fin) will enhance the air-side heat transfer performance of this kind of heat exchanger. It is very important to consider the heat transfer rate (heating or cooling), which is normally limited by the thermal resistance on the air side of the heat exchanger. Improving the fin geometry or fin pattern is one way to augment the heat transfer rate of the fin-and-tube heat exchanger, but this method may require more fan power because of the loss associated with the pressure drop. In order to solve the aforementioned problems, finding the optimized fin configuration would be valuable in designing and creating the heat exchanger.
A Review of Intrusion Detection Systems
Authors- M. Tech. Scholar Megha Sharma, Asst. Prof. Khushboo Sawant
Abstract- – An intrusion detection system (IDS) is devices or software’s that are used to monitors networks for any unkind activities that bridge the normal functionality of systems hence causing some policy violation. This paper reviews some of the intrusion detection systems and software’s highlighting their main classifications and their performance evaluations and measure.
Review of Tube Flange Welded Joint
Authors- M.Tech. Scholar Sumit Kumar, Prof. G.R. Kesheorey(Supervisor & HOD),Dr. A.J. Siddiqui(Executive Director)
Abstract- – The fatigue cracks are the one of the major cause of failures in welded joints. The current research studies the various researches conducted in analyzing strength and life of welded joints. The testing of welded joints are done using experimental and numerical methods. The effect of different filler materials, heat input, welding current and gas flow rate on quality and strength of weld is also studied. The heat affected zone of friction stir welding is also investigated using techniques of finite element analysis.
Review of Spam Filtring Using Machine Learning Technique
Authors- ME Scholar Shivani Panwar, Asst. Prof. Kapil Shah
Abstract- – TE-mail is one of the most secure mediums for online communication and transferring data or messages through the web. An overgrowing increase in popularity, the number of unsolicited data has also increased rapidly. To filtering data, different approaches exist which automatically detect and remove these untenable messages. There are several numbers of email spam filtering technique such as Knowledge-based technique, Clustering techniques, Learning-based technique, Heuristic processes and so on. This paper illustrates a survey of different existing email spam filtering system regarding Machine Learning Technique (MLT) such as Naïve Bayes, SVM, K-Nearest Neighbor, Bayes Additive Regression, KNN Tree, and rules. However, here we present the classification, evaluation and comparison of different email spam filtering system and summarize the overall scenario regarding accuracy rate of different existing approaches.
A Review of Question Answering Schemes
Authors- M. Tech. Scholar Sheetal Singh Goutam, Avinash Pal (HOD)
Abstract- – Question Answering Systems (QAS) are turning into a model for the eventual fate of web search. In this paper we present an investigation of the most recent examination around there. We gathered distributions from top gatherings and diaries on data recovery, information the executives, computerized reasoning, web knowledge, characteristic language handling and the semantic web. We recognized and characterized the subjects of Question Answering (QA) being investigated on and the arrangements that are being proposed. In this investigation we likewise recognized the issues being most explored on, the most mainstream arrangements being proposed and the freshest patterns to assist specialists with increasing an understanding on the most recent turns of events and patterns of the exploration being done in the zone of inquiry replying.
Review of Healthcare Prediction using Machine Learning Technique
Authors- ME Scholar Chetna Sawalde, Asst. Prof. Ranjan Thakur
Abstract- – According to the records of WHO 17.5 million individuals bite the dust each year. Constantly 2030 it will ascend to 75 million [1]. The restorative experts related with heart illnesses have a few impediments, they can anticipate the odds of heart assault with the precision of 67% [2], for increasingly exact expectations of heart maladies, and specialists require an emotionally supportive network. The accuracy in expectations of heart assault can be accomplished by profound and AI calculations. In this paper there is a ton of data about the condition of workmanship strategies in profound learning and AI. To help new analyst’s dynamic around there a systematic correlation has been given.
Review of Leaf Spring Using Design Optimization
Authors- M.Tech. Scholar Abhishek Chandra, Prof. G.R. Kesheorey (Supervisor & HOD),
Dr. A.J. Siddiqui(Executive Director)
Abstract- – The leaf spring is one of the vital components of heavy motor vehicle which absorbs shocks and vibration caused by uneven road surface. The leaf spring should possess high strength to withstand heavy loads and vibrations. The current research reviews various studies conducted in improving existing design of leaf spring using experimental and numerical methods. The use of composite materials as investigated by various researches is also studied.
Health Prediction Using Machine Learning
Authors-Shaili Sharma
Abstract- – “Smart Health Prediction Using Machine Learning,” which is based on predictive modeling, predicts the illness of patients/users based on the symptoms that they supply as input to the system and then delivers a prediction of the condition. There are three different ways to log onto the application: user/patient login, doctor login, and admin login. The device analyses the symptoms provided by the user/patient as input and generates an output depending on the probability of the illness based on the prediction made through the algorithm used by the device. The Naive Bayes Classifier is used to make intelligent health predictions, and it is implemented in this way. The Naive Bayes Classifier calculates the illness % likelihood by taking into account all of the characteristics that have been learned during the training phase of the algorithm. Patients and users gain from an accurate interpretation of illness data since it allows for early disease prediction and a clear view of the condition for the user. Using the chat consultation window, the user/patient may consult with a specialized doctor after delivering the forecast. This method extracts new patterns from historical data by using machine learning algorithms and database management approaches. The accuracy of the forecast can be improved via a machine learning algorithm, and the user/patient will benefit from having quick and straightforward access to the app.
The Impact of COVID-19 on Library Services in India: A Study of Adaptation and Innovation
Authors-Assistant Professor Rakesh Kumar
Abstract- – The COVID-19 pandemic has significantly impacted library services worldwide, compelling institutions to adapt to digital transformation at an accelerated pace. This study examines the adaptation strategies of libraries in India, analyzing key factors influencing digital service adoption, including digital infrastructure, perceived usefulness, digital literacy, funding constraints, and the digital divide. Using Structural Equation Modeling (SEM) on data collected from 120 libraries, the study validates the hypothesized relationships between these factors and their impact on service adaptation. The results indicate that libraries with pre-existing digital infrastructure and higher digital literacy levels adapted more efficiently, whereas funding constraints and the digital divide negatively influenced adaptation. The study highlights the necessity of targeted funding mechanisms, infrastructure development, and digital literacy initiatives to ensure equitable access to knowledge resources. The findings offer critical insights for policymakers, library administrators, and stakeholders in shaping resilient and inclusive digital library services in the post-pandemic era.
DOI: /10.61463/ijset.vol.9.issue1.160
Telehealth Revolution in Chronic Pain Management: Lessons from Rapid Pandemic Adoption and Future Directions
Authors-Amit Nandal
Abstract- – In order to avert care breaches for chronic patients, the COVID-19 pandemic necessitated significant adjustments to the expansion and quick implementation of telemedicine. It takes significant adjustment combining operations and clinical practices to address the difficulty of adopting remote medical care in chronic pain offerings, a speciality that heavily relies on doctor-patient rapport, physical examinations, including regular follow-up visits. In response to the COVID-19 epidemic, we describe the outcome of a successful quick transition to the online healthcare approach at a period when access to outpatient medical services for individuals with persistent pain in children and adults was severely limited. This narrative review discusses the most recent research supporting the use of videoconferencing to treat persistent pain and goes into great depth on the difficulties in integrating videoconferencing into mobility impaired clinics from several angles. It is advised to follow best practices while using telehealth. The existing data in the domains of neurology and neuromuscular care contrasting in-person and distant physical examinations is used to support a proposal for online physical evaluation for discomfort sufferers.