bluuebunny/crossref_metadata_2025 huggingface dataset:
FEA Analysis of Tvs Sport Alloy Wheel Rim with Various Speed
Authors: Et. al. P.S.Mohanasaravanan,
Published: April 2021

The work is to analysis the structural stability and strength of a low budget Indian two wheeler TVS Sport bike alloy wheel rim in high speed conditions, the alloy wheel rim is holding the tyre and stability of the vehicle, the ANSYS Structural Analysis carried out for various RPM like 500, 1000, 1500 and 2000 RPM the results of stress, strain and deformation results taken for various materials like steel, aluminium and polypropylene
Finite Element Analysis of Aircraft Radial Engineconnecting Rod Using Composite Material
Authors: Et. al. M.K.Karthik,
Published: April 2021

The main objective of this project is analysis of Aircraft radial engine connecting rod by using fiber matrix composite materials in this type of composite materials to improve their ductility properties aluminium metal powder will be added in the matrix components like epoxy resin elements from the resin considerations the metal powder will be 5-10% of the weight of aluminium powder only added, the comparison of the existing material with GFRP Reinforced   aluminium powder and Pure GFRP Material from the comparison of stress, strain and deformation results from the ANSYS Software GFRP with Aluminium powder material will get best results
Finite Element Analysis of Honeycomb Sandwich Composite Structures With Various Joints
Authors: Et. al. R.Karthikeyan,
Published: April 2021

This work focuses on the numerical investigation of mechanical properties of aluminium honeycomb sandwich composite structures with lap and butt joints. The joints are bonded using adhesive, welded and bolted which were designed using CATIA software. The static and dynamic structural analyses were performed to compute the mechanical properties of aluminium honeycomb composite structures with various joints using ANSYS software. Finally, the models were developed for estimating the failure strength of joints in honeycomb sandwich composite structures.
Modeling and Structural Analysis of Rear Axle Casing of Tractor
Authors: Et. al. E.Mahavishnu,
Published: April 2021

In this research paper we are going to analysis the rear axle hosing of the tractor for circular, rectangular and elliptic shape to improving the structural stability and load carrying capacity, deformation and fatigue analyze done in FEA methodology, model designed in CATIA software.
Prediction Management from distributed data in Peer-to-Peer Distributed Network Systems
Authors: Et. al. S. SriGowthem,
Published: April 2021

Unnamed attributes of peer-to-peer (P2P) systems display them to abhorrent movement. Peer-to-peer (P2P) systems are bargain acclimated in “file-swapping” networks to abutment broadcast agreeable split. A bulk of P2P networks for book administration accept has been developed and locate. Its affiliate tender a ample summary of P2P accretion and attention on adequate administration networks andscientific .construct and acceptance a part of aeon can abate attacks by abhorrent peers. Its cardboard provides broadcast algorithms acclimated by a associate to acumen concerning believability of any other method on the accessible bounded advice which are includes accomplished communication and direction accustomed by others. Aeon plan calm to authorize assurance a part of anniversary added after application a priori report. Assurance commitment are flexible to changes in assurance a part of peers system.
gη - Separation Axioms In Topological Spaces
Authors: Et. al. K. Sumathi,
Published: April 2021

In this paper a new class of separation axioms in topological spaces is used in  gη-closed sets. The concept of gη-Tk spaces for k = 0, 1, 2, gη-Dk spaces for k = 0, 1, 2 and gη-Rk spaces for k = 0, 1 and some of their properties are investigated.
Approximate Solution of Non-Linear Reaction-Diffusion in A Thin Membrane: Taylor Series Method
Authors: Et. al. J. Visuvasam,
Published: April 2021

The nonlinear reaction-diffusion cycle in the thin membrane that describes the chemical reactions involving three species is studied. The model consists of the system of on nonlinear reaction-diffusion equations. The closed type of analytical expression of concentrations for the enzyme was developed by solving equations using the Taylor series formula. This results in the mixed Dirichlet and Neumann boundary conditions. Taylor series method similar to exponential function method. This technique provides approximate and simple solutions that are quick, easy to compute, and efficiently correct. These estimated findings are compared to the nuxmerical results. There is a good agreement with the simulation results.
An Approximate Analytical Solution Of Nonlinear Equations In N-Aminopiperidine Synthesis: New Approach Of Homotopy Perturbation Method)
Authors: Et. al. R. Joy Salomi,
Published: April 2021

the synthesis of N-aminopiperidine (NAPP) using hydroxylamine-O-sulfonic acid (HOSA) is based on system of nonlinear rate equations. The new approach to homotopy perturbation method is applied to solve the nonlinear equations. A simple analytical expression for concentrations of hydroxylamine-O-sulfonique acid (HOSA), piperidine (PP), N-aminopiperidine (NAPP), sodium hydroxide (NaOH) and diazene (N2H2) along with NAPP yield is obtained and is compared with numerical result. Satisfactory agreement is obtained in the comparison of approximate analytical solution and numerical simulation. The obtained analytical result of NAPP yield is compared with the experimental results. The influence of reagents ratio p and rate constants ratio r on yield has been discussed.
New form of generlized closed sets via neutrosophic topologicl spaces
Authors: Et. al. BinoyBalan eK,
Published: April 2021

Florentin eSmarandache egeneralized ethe eintuitionistic efuzzy esets eto eNeutrosophic eset etheory ein e1998 eas ea enew ebranch eof ephilosophy. eA.A. eSalama eintroduced ethe econcept eof eNeutrosophic etopological espaces eby eusing ethe eNeutrosophic ecrisp esets. eIn ethis epaper, ewe eintroduce eand estudy ea enew eclass eof eNeutrosophic egeneralized eset, enamely eNeutrsophic epre egeneralized eregular eα- eclosed eset ein eNeutrosophic etopological espaces. eSome einteresting epropositions ebased eon ethis eset eare eintroduced eand established ewith esuitable examples eand etheir eproperties eare ealso ediscussed.
Exploration of Solutions for an Exponential Diophantine Equation px+ (p +1)y= z2
Authors: Et. al. P. Sandhya,
Published: April 2021

In this text, the exclusive exponential Diophantine equation px + (p + 1)y= z2such that the sum of integer powers  and  of two consecutive prime numbers engrosses a square is examined or estimating enormous integer solutions by exploiting the fundamental notion of Mathematics and the speculation of divisibility or all possibilities of x + y = 1, 2, 3, 4..
Data Analysis and Data Classification in Machine Learning using Linear Regression and Principal Component Analysis
Authors: B S Lokasree
Published: April 2021

In this paper step-by-step procedure to implement linear regression and principal component analysis by considering two examples for each model is explained, to predict the continuous values of target variables. Basically linear regression methods are widely used in prediction, forecasting and error reduction. And principle component analysis is applied for facial recognition, computer vision etc. In Principal component analysis, it is explained how to select a point with respect to variance. And also Lagrange multiplier is used to maximize the principle component function, so that optimized solution is obtained
Computation is Existence — A Brief Overview of the Multi-faceted Implications of Quantum Mechanical Description of Black holes as hyper computational Entities
Authors: Patra Dr. Indrajit
Published: April 2021

The article attempts to deal with the newly emerging paradigm of black hole computers in which adopting a quantum-mechanical perspective of information enables us to assess the computational power of black holes. Viewing space-time itself as a computational entity and black holes as the supreme forms of serial computers can help us to gain insight into the ideas from gravitational thermodynamics and the emergent nature of space-time and gravity. The idea of black holes as computational entities also relates to quantum gravity which views space-time and foamy and fuzzy due to quantum fluctuations and divided into discrete, Planck-scale blocks.
The silenced voices of desire in the novel Eating Wasps
Authors: Et. al. Hema. R,
Published: April 2021

The present paper analyses the women characters Urvashi, Sreelakhmi, Brinda and Najma in the novel Eating Wasps. The protagonist is the ghost of Sreelakshmi and she takes the readers through the lives of other women in the novel. Anita Nair portrays the confined lives of women even in the modern society. She portrays a society that considers women’s desires as a sin. Gender roles are deeply engrained in the minds of both men and women in a patriarchal society. The family and society consider women’s desires as unnatural. They are silenced and are forced to live a life they despise. The paper discusses the shame and guilt faced by the women in the novel and the gender discrepancies in the society.
Shifts in the Foundation: The Continual Modification and Generalization of Axioms and the Search for the Mathematical Principles that Underlie our Reality
Authors: Et. al. Dr. Indrajit Patra ,
Published: April 2021

The study shall seek to explore the deep, underlying correspondence between the mathematical world of pure numbers and our physical reality. The study begins by pointing out that while the familiar, one-dimensional real numbers quantify many aspects of our day-to-day reality, complex numbers provide the mathematical foundations of quantum mechanics and also describe the behavior of more complicated quantum networks and multi-party correlations, and quaternions underlie Einsteinian special theory of relativity, and then poses the question whether the octonions could play a similar role in constructing a grander theory of our universe. The study then points out that by increasing the level of abstraction and generalization of axiomatic assumptions, we could construct a more powerful number system based on octonions, the seditions, or even other hypercomplex numbers so that we may more accurately describe the universe in its totality.
Mutual Funds: An Outrageous Progression in Investment
Authors: Et. al. V.B. Karuna Moorthy,
Published: April 2021

Mutual funds are the key factor for the financial arbitrator. Corporations, governments, and individual investors are benefitted out of mutual funds on a large scale. Mutual funds seem to be an attractive scheme of investment among society. The new money flow in terms of investment yields enhanced results in mutual fund investment. Mutual funds attract small investors to benefit greatly due to diversified capabilities. Shareholders are benefited through mutual funds in numerous ways. This paper tries to analyse the importance of mutual funds and their need in this current scenario. Further, this paper also tries to investigate the ways in improving the growth of mutual fund investment plans among the public.
Estimation of the X/γ- ray shielding properties of different glass system using Monte Carlo Simulation
Authors: Et. al. Ayano Shanko, MD,
Published: April 2021

The aim of the research is to estimate the X-ray shielding properties of different glass systems using Monte Carlo Simulation. X-ray glass is also known as radiation shielding glass. Glass provides protection against the absorption of energy radiation. The shielding layer is formed by a high concentration of lead and barium. The mass attenuation coefficient, the effective atomic number and the effective electron density are used to determine the position of gamma-ray photons in matter. Shield characterization in terms of mass attenuation coefficient (μm), transmission fraction (T), effective atomic numbers (Zeff), half-value layer (HVL) and exposure build-up. factor (EBF) of a glass system is estimated by the Monte Carlo Simulation. The random sampling and statistical analysis are computed using the monte carlo simulation. Various external factors are considered as the input parameters. The different composition of the glass will be examined using the Monte Carlo simulation and the shielding capability would be determined for the various samples.
SafeOne Machine Learning model to predict industrial incidents in Chemical and Gas Industries
Authors: Et. al. Ganapathy Subramaniam Balasubramanian,
Published: April 2021

Understanding activity incidents is one of the necessary measures in workplace safety strategy. Analyzing the trends of the activity incident information helps to spot the potential pain points and helps to scale back the loss. Optimizing the Machine Learning algorithms may be a comparatively new trend to suit the prediction model and algorithms within the right place to support human helpful factors. This research aims to make a prediction model spot the activity incidents in chemical and gas industries. This paper describes the design and approach of building and implementing the prediction model to predict the reason behind the incident which may be used as a key index for achieving industrial safety specific to chemical and gas industries. The implementation of the grading algorithmic program including the prediction model ought to bring unbiased information to get a logical conclusion. The prediction model has been trained against incident information that has 25700 chemical industrial incidents with accident descriptions for the last decade. Inspection information and incident logs ought to be chomped high of the trained dataset to verify and validate the implementation. The result of the implementation provides insight towards the understanding of the patterns, classifications, associated conjointly contributes to an increased understanding of quantitative and qualitative analytics. Innovative cloud-based technology discloses the gate to method the continual in-streaming information, method it, and output the required end in a period. The first technology stack utilized in this design is Apache Kafka, Apache Spark, KSQL, Data frames, and AWS Lambda functions. Lambda functions are accustomed implement the grading algorithmic program and prediction algorithmic program to put in writing out the results back to AWS S3 buckets. Proof of conception implementation of the prediction model helps the industries to examine through the incidents and can layout the bottom platform for the assorted protective implementations that continuously advantage the workplace's name, growth, and have less attrition in human resources.
Portrait of Adolescence in the Novels of Ruskin Bond
Authors: Et. al. Revathy M,
Published: April 2021

Indian English Novel has occupied a significant place at worldwide level. Many well-known writers present the Indian life style and voiced for the social issues in their novels. Ruskin Bond is one among the very few writers who has contributed to the development of children and youngsters. Bond’s literary world depicts the adolescents of real life. Bond portrays the journey of innocence to experience in his novels. Bond started writing his first novel when he was an adolescent. The autobiographical part in Bond’s novels realistically expresses the growth of an individual from childhood to adolescence. Rather than external factors, Bond puts effort to bring out the mind-set of the adolescents. His lead characters in the novels are in adolescence phase. The novels of Bond has two layers, one which explores everyday life and the other which actually reveals the human psyche. The present paper focuses on the representation of adolescents in the novels of Ruskin Bond. It introspects the characteristics of the adolescent in light of child psychology.
Class Consciousness and Socio-Economical Conflict: A Cogitation of Katherine Mansfield’s “The Doll’s House”
Authors: Et. al. Dr Ajay Prakash Pasupulla,
Published: April 2021

“Class Consciousness and Socio-Economical Conflict: A Cognition of Katherine Mansfield’s “The Doll’s House”” is an attempt to explore class consciousness and socio-economical conflict and prejudice insinuated in Mansfield’s short story, “The Doll’s Hose”. Mansfield lived between 14th October 1888 and 9th January 1923 in New Zealand and is New Zealand’s famous writer. The present research paper investigates the notion of class conflict and class prejudice seen Mansfield’s society through the socio-economic status of the Kelveys and Burnells. The Kelveys are portrayed as underprivileged and the Burnells are depicted as socially and economically affluent. The social hierarchal structure dealt in the story renders a space to trace the conflicts existing between the classes. The present paper traces the distinct lines that is draw between these two classes. It analyses what made the young minds to prioritize class discrimination and what is the cause behind it. Besides, it ventures to discover the position of grownups in class discrimination and class conflict and their contribution to such social evils.
Numerical Investigation on Heat and Mass transfer through a porous medium in the presence of MHD and Chemical Reaction
Authors: Et. al. R.Kavitha,
Published: April 2021

An attempt has been made to investigate the heat and mass transfer through a porous medium in the presence of Magnetohydrodynamic flow and chemical reaction. On the basis of certain assumptions, the momentum, energy and concentration equations are obtained. These governing equations are transformed into ordinary differential equations using self-suitable transformations and these resulting equations are solved numerically using shooting procedure with fourth order Runge-Kutta Method. The effect of various non- dimensional parameters like magnetic parameter (M), Schmidt number (Sc), Chemical reaction (Kr) are discussed with the help of graphs.
Quest for Identity in the novels of Beloved and The Bluest Eye by Toni Morrison
Authors: Et. al. Nehdeep Lakra,
Published: April 2021

Identity is often described as finite and consists of separate and distinct parts such as; family, culture, personal relations and profession, to name a few. The formation of identity is an ever – evolving one wherein our genealogy, culture, loved ones, those we cared for, people who have harmed us and people we have harmed, our memories of the various phases of life, or the deeds done to oneself and to others, experiences lived and choices made, all come together to form who one is, at a given moment. The black Americans in the select novels are neglected even not to be considered as human beings, deprived of their rights. This article deals with the search for self as to who they truly are in the novel of Toni Morrison’s Beloved and The Bluest Eye. Identity is the uniqueness of a person and when it is lost, the person loses everything in his life.
Innovative Teaching: A Need to Encounter the Modern Classroom Challenges
Authors: Et. al. Anup Denzil Veigas,
Published: April 2021

Teaching a language and addressing the need of the learners is a complex and challenging exercise. Language plays a prominent role in teaching learning process; however, when it comes to teaching of English language, these challenges multiply especially, within the classroom context because of the learners and their diversity of choices. The Irony behind teaching and learning of English language lies in its context in the global level. English Language seems to have many challenges because of the need to proficiency, competency and fluency of users who are capable of utilising the language skills mainly, LSRW (Listening, Speaking, Reading and Writing) to gain employment in global markets. But today, teaching the learners the skills of the language has become more challenging because the learners exhibit a negative feeling to language classes. The present paper emphasises on making teachers more adaptable for the teaching process by avoiding various classroom discrepancies and preparing the learners to utilize new methods for better and effective skill-based language learning.
Problems of Translating Culture-Specific Terms, Realies Which Existed In the Uzbek Language
Authors: Et. al. Niyozova Shoira Tairovna,
Published: April 2021

The article covers a broad range of culture-bound words, realia translation, the identification of the main types and difficulties of translation based on the material of literary works translated from Uzbek into English.  There was analyzed the presentation of national and historical realias and national features, problems of similarity and equivalency in translated artistic composition.
3D Analytical Modeling Of Surface Potential And Threshold Voltage Model Of Dm Fintfet With Dual Hetero Gate Oxide Structure
Authors: Et. al. Ajay kumar Dharmireddy ,
Published: April 2021

This paper proposed on basis of a perimeter-weighted-sum method for the construction of a 3D-Analytical Modeling of double metalFin structure TFET with dual hetero gate oxide structure. The DM model device dividing into a symmetrical and asymmetrical dual-gate TFETs, and then resolving 3D architectures. The surface potential and the electrical field (E) achieved by resolving the Poisson 3D equation. The drain current (ID) is eventually calculated using Kane tunneling model to calculate the tunneling generation rate. Threshold voltage model also developed based on the charge inversion model. The performance analysis of dual hetero gate oxide Fin TFET device together with dual dielectric engineering techniques results in enhanced drain current and reduced SCE’s of low leakage current, threshold voltage roll-off and drain induced barrier lowering.
Impact for Timely and Reliable Data Transmission in Industrial Areas– A Review
Authors: Et. al. Atiq Ali Khan,
Published: April 2021

By breaking down the impact for timely and reliable data transmission in industrial areas, the authors uncover that couple of distributions shed light on this viewpoint. By setting up these discoveries, this paper gives a stage to the comprehension of what might actually shape keen plan designing and its plan related exercises. To achieve this, the authors lead a methodical review of the literature, which gives different discoveries. As the new impact plan to an enormous degree characterizes the worth chain for an organization, the test lies in guaranteeing that the planned item will assist the organization with profiting the Industrial Areas. These discoveries are then dissected by 12 experts both from the scholarly community and the business, and the discoveries' relations to the impact for timely and reliable data transmission in industrial areas and their impact on the item advancement measure is examined. Industrial Areas are generally connected with what changes in regards to the operations of an undertaking mean for said venture's assembling frameworks. In any case, the impact of these changes surpasses the creation frameworks themselves; rather, they influence the whole worth chain, from the item plan and advancement measure through assembling and store network the board to promoting and removal. Therefore, the reason for this investigation is to set up highlights and properties that will shape all through the industrial areas and into a savvy configuration designing.
Analysis and Performance Of Grid Connected Straight Driven Pmsg Based Wind Turbines
Authors: Et. al. Eswaraiah G,
Published: April 2021

Permanent-magnet synchronous generator (PMSG) are used widely in wind turbine applications. The performance analysis of PMSG can be enhanced by adopting a number of control mechanisms with the benefit of advanced optimization techniques. Renewable energy is harnessed from continuously replenishing natural processes. Some commonly known are sunlight, water, wind, tides, geothermal heat and various forms of biomass. The focus on renewable energy has over the past few decades intensified greatly. This paper presents modeling and control strategy for the grid connected wind turbine system based on Permanent Magnet Synchronous Generator (PMSG). The considered system is based on back-to-back converter topology. The Grid Side Converter (GSC) achieves the DC bus voltage control and unity power factor. The Machine Side Converter (MSC) assures the PMSG speed control. The PMSG is used as a variable speed generator and connected directly to the turbine without gearbox. The pitch angle control is not either considered in this study. Further, Optimal Tip Speed Ratio based MPPT control strategy is used to ensure the most energy efficiency whatever the wind speed variations. A filter (L) is put between the GSC and the grid to reduce current ripple and to improve the injected power quality.During grid faults, a hierarchical coordinated control scheme for the generator-side converter, main grid-side converter and auxiliary grid-side converter, depending on the grid voltage sags, is presented to enhance the low voltage ride through (LVRT) capability of the direct-driven PMSG WT.
Security and Privacy Protection in Datamining
Authors: Et. al. G Ravi Kumar,
Published: April 2021

Security and Privacy protection have been a public approach worry for quite a long time. Notwithstanding, quick innovative changes, the fast development of the internet and electronic business, and the improvement of more modern techniques for gathering, investigating, and utilizing individual information have made privacy a significant public and government issues. The field of data mining is acquiring importance acknowledgment to the accessibility of a lot of data, effortlessly gathered and put away through PC systems. Data mining procedures, while permitting the people to remove shrouded information on one hand, present various privacy dangers then again. In this paper, we concentrate a portion of these issues alongside an itemized conversation on the utilizations of different data mining strategies for giving security. This paper gives an outline of data mining field and security information event management system. We will perceive how different data
Immersed with Grit: Probing the Mindset of Future Hospitality Professionals
Authors: Et. al. Ashika Miriam Tharakan ,
Published: April 2021

Studies in the past have aimed to identify several factors that would encourage academic success among students. In recent times, the focus has shifted to understanding the impact or the influence of non-conventional factors such as Grit and Flow on the performance of students. In the current study, We have identified the relationship between the Grit and the get into a state of flow. The sample for this study consisted of 301 college students pursuing their education in hotel management from colleges in and around Bengaluru City. The data was collected through a questionnaire which was circulated through e-mail and social media of students. The scale used to measure Grit was the 10-item Grit Scale by Angela Duckworth and the 14 Items scale by Kazuki Yoshida was used to measure Flow. Statistical methods such as correlation, regression, t-test and ANOVA were applied in this study. Findings of the study indicate that the grit of hospitality students plays a role in their ability to enter into a state of flow.It is more likely for grittier individuals to experience flow. The levels of grit do not vary in terms of Gender, but it does with respect to year of education. The Flow levels vary between men and women, but it does not differ with year of education.
Review Of Literature For Leadership Attributes In Various Industry
Authors: Et. al. K. Lavanya,
Published: April 2021

Leadership can be defined in different ways that it is hard to come up with a single working definition. Leadership is not just a person or group of people in a high position. Leadership is a process in which leader is indulged in various activities to achieve any goal. Leadership refers to the behaviour / attitude of a leader to collect and direct the individuals towards any goal. Leadership is a communication process of leader and individuals. So the effectiveness of an organization depends upon the effective leader and effective leader is that person who has an effective leadership style. Leadership is a very important factor for any organization or group.
Replication and Uploading Data on Cloud for Disaster Recovery Process
Authors: Et. al. K. S. Sakunthala Prabha,
Published: April 2021

Disaster recovery is a diligent issue in IT business. This issue is progressively significant in cloud computing, since Cloud Service Providers (CSPs) are bound to provide all facilities to their clients regardless of whether the server farm is down, because of a disaster. During the disaster, the data may be lost. To overcome this problem, replication is generated for each input data. The main objective of this paper is to upload different data on optimal location of cloud. The proposed system consists of three modules, namely, replica generation; choose optimal location and recovery process. Initially, to avoid the data loss, the input data are replicated. After replication process, the data are stored on cloud with the help of oppositional gravitational search algorithm (OGSA) which then retrieves only the request based data. Hence, we could avoid the data loss due to disaster. The presentation of proposed methodology is analyzed by different metrics comparing with various methods.
Analysis Of 12- Level Cycloconverter To Minimize Thd (Total Harmonic Distortion) Level In 3-Phase Induction Motor
Authors: Et. al. Mallepally Narendar Reddy,
Published: April 2021

These harmonics are higher than essential frequencies and cause Total Harmonics Distortion (THD) which increases the rms current and generates more warmth in the load. Numerous techniques are used to suppress the harmonics to limit the warmth in the load. Another procedure is utilized in this work to limit THD and the method to beat the low exhibition of a traditional PWM (pulse width tweak) control. In this work, the desired output voltage is accomplished by contrasting the desired sinusoidal waveform (adjusting signal) with a high frequency three-sided waveform (transporter signal). Industrial applications demands high force and long life expectancy motor drives. Three phase motor drives have restricted force density consequently Multiphase motor drives are better solutions for high force density and substantial loads. In this work a 12 level cycloconverter is designed to drive three Phase load. The loads used in the industries almost nonlinear loads like motors. Thusly, because of these nonlinear loads extra harmonics incited at the output of the 12 level cycloconverter drive with major frequency. The harmonics and THD got using our proposed technique is thought about using Mat lab/Simulink
A Novel Feature Extraction from Genome Sequences For Taxonomic Classification Of Living Organisms
Authors: Et. al. Muthulakshmi M,
Published: April 2021

Genome sequencing aids in understanding the nature, characteristics, habitat and evolutionary history of all living organisms. Apart from sequencing, the more important task is to correctly place the sequenced genome in the taxonomy. Generally, the taxonomic classification of the living organisms is done by observing their morphological, behavioral, genetic and biochemical characteristics. Among them, taxonomic classification using genetic observation is more accurate scientifically as the Genome sequence analysis exploits the complete characteristics of the organism. In this paper, we developed a novel Frequency based Feature Extraction Technique (FFET) which extracts 120 features and helps to analyze the genome sequence of the organism and to classify them in the taxonomy accordingly. We performed a kingdom level taxonomic classification using the proposed FFET. The proposed FFET extracts features based on storage, frequency of nucleotide bases, pattern arrangement and amino acid composition of genome sequences. The feature extraction technique is applied to 150 samples of genome sequences of various organisms which were downloaded from National Centre for Biotechnology and Information (NCBI) database. The extracted features are classified using various Machine learning and Deep learning classifiers. From the results, it is evident that FFET performs well for classification with Convolutional Neural Network (CNN) classifier with an accuracy of 96.73 %.
Review for Performance Of Indian Nationalised Banks
Authors: Et. al. Nampalli Srishylam,
Published: April 2021

The banking industry in India overall is making huge commitments to the improvement of the economy and assisting with accomplishing economical growth. The banks are helping the economy regarding successful capital arrangement, viable loaning, and adding to the improvement of the country, in this way banks should be all the more firmly watched. In India, banks are probably the best entertainer on the planet banking industry seeing colossal seriousness, growth, productivity, benefit, and adequacy, particularly lately. The principle objective of banks today is to guarantee solidness and ensure that they are inside sound and reasonable. Subsequently, it is imperative to quantify sufficiency across different banks in the country and distinguish the more fragile segments of the banking area, devise suitable systems and approaches to lift these areas, and in the end, establish a climate that leads banks to be sound and results in instability.
Spectral Efficiency Improvement Techniques In Massive Mimo For 5G Communications
Authors: Et. al. Naraiah R ,
Published: April 2021

Wireless communications has gotten one of the quickest developing zones in our advanced life and makes colossal effect on practically every component of our day by day life. 5G should support a large number of new applications with a wide assortment of prerequisites, including higher pinnacle and client information rates, diminished dormancy, improved indoor inclusion, expanded number of gadgets, etc. The normal traffic development in at least a long time from now can be fulfilled by the consolidated utilization of more range, higher spectral efficiency, and densification of cells. The increment in spectral effectiveness will improve the throughput of the system which straightforwardly serves the Enhanced Mobile Broad band use instance of the 5G assistance. In massive Multiple-Input Multiple-Output (M-MIMO) systems few hundred quantities of antennas are conveyed at each base station (BS) to serve a moderately modest number of single-reception apparatus terminals with multiuser, giving higher information rate and lower idleness. Massive Multiple-Input Multiple-Output is the arising innovation in cell system for higher information rate correspondence. It utilizes enormous number of communicating reception apparatus at the base station which is made conceivable by the radio wire cluster which can be electronically steerable and adequately utilized for shaft framing. Spectral proficiency is the vital boundary to be improved in expanding throughput. The system execution under different commonsense limitations and conditions, for example, restricted soundness block length, number of base station (BS) antennas, and number of dynamic clients are assessed through simulation.
Identification of Paddy Leaf Diseases using Evolutionary and Machine Learning Methods
Authors: Patil Nilam Sachin
Published: April 2021

In the field of agriculture, especially paddy plants, there is a demand for research to classify the paddy diseases at early stages. This is feasible if there are automated systems that can assist the farmers to recognize the paddy diseases from the paddy leaf images of the plants. The recognition of agricultural plant diseases by utilizing the image-processing and machine learning techniques can certainly minimize the reliance on the farmers to protect the yield of paddy crops. In this paper, an attempt has been made to pre-process the images to prepare the feature-set for Classifiers and then feature extraction algorithms are used to extract the relevant features from the processed images. The feature-set is then supplied to the classifiers for identification of Paddy Leaf diseases. The usage of cascaded classifiers has been explored to detect the diseases of paddy leaves. An attempt has also been made to use genetic algorithm with nearest neighbour algorithm to identify the diseases of paddy leaves. The proposed automated system can be used on Android , Windows platform and Apple platform for quickly identifying the paddy leaf diseases as the entire implementation has been performed using MATLAB. The proposed automated system can certainly help the farmers to classify the diseased paddy leaves at early stage to protect the crops from further damage.
Multi Criteria Decision Making (MCDM) based preference elicitation framework for life insurance recommendation system
Authors: Et. al. Asha Rani,
Published: April 2021

The global life insurance industry has shown a phenomenal growth in number of companies, insurance products and their users. The digital revolution has played a pivotal role in the field of insurance too. Increased numbers of companies and insurance plans have increased the complexities and time involved in selection of appropriate policies. At present, major share of policy selling goes to the agents which may be biased and time consuming. The web aggregators too have failed to provide customized and personalized suggestions. Major portion of population still finds the selection of best insurance plan unfriendly and tedious. This huge volume of data requires intelligent system to facilitate efficient and effective retrieval, processing and management of the data from multiple dimensions. This research paper proposes a framework to provide a personalized life insurance recommender system using TOPSIS method of multi-criteria decision making. Point allocation method along with TOPSIS provides preference elicitation and list of recommended policies ranked according to closeness coefficients. Sensitivity analysis in the paper shows the effect of changing the policy features’ preferences (criteria weights) on the final recommended products. The proposed framework helps in achieving computational excellence for efficient decision making with reduced complexity
Multiclass Software Bug Severity Classification using Decision Tree, Naive Bayes and Bagging
Authors: Et. al. Raj Kumar,
Published: April 2021

The software applications are experiencing the challenges of ever-growing complexity caused by the increase in the number of bugs. The software development process has been adversely affected due to the wastage of resources caused due to the bugs. It is imperative to identify and predict bugs to facilitate the software development process. Software bugs can be classified according to the severity of the bugs. In this paper a comparative analysis of Decision Tree, Naïve Bayes and Bagging approach is done for the bug severity classification. A comparative analysis of the Naïve Bayes, Decision Tree and Bagging approach is done for the accuracy, precision, recall and F-measure parameters
Fast Frequent Item Mining from Big Data using Map Reduce and Bit Vectors
Authors: Et. al. Thirumaran. S,
Published: April 2021

One of the most important areas that are constantly being focused recently is the big data and mining frequent patterns from them is an interesting vertical which is perpetually being evolved and gained plethora of attention among the research fraternities. Generally, the data is mined with the aid of Apriori based algorithms, tree based algorithm and hash based algorithm but most of these existing algorithms suffer many snags and limitations. This paper proposes a new method that overrides and overcomes the most common problems related to speed, memory consumption and search space. The algorithm named Dual Mine employs binary vector representation and vertical data representations in the map reduce and then discover the most patterns from the large data sets. The Dual mine algorithm is then compared with some of the existing algorithms to determine the efficiency of the proposed algorithm and from the experimental results it is quite evident that the proposed algorithm “Dual Mine” outscored the other algorithms by a big magnitude with respect to speed and memory.
MTStemmer: A multilevel stemmer for effective word pre-processing in Marathi
Authors: Et. al. Virat Giri,
Published: April 2021

In natural language processing, it is important that the context and the meaning of words are retained while also ensuring the efficacy of the data modelling process. During human-to-human interactions, special care is taken regarding the tense and phrasing of the words by taking into consideration the rules of grammar of the specific language. While this modification of words is necessary for framing consistent sentences, these appendages do not add significant value to the original meaning of the word. Stemming is the process of converting words back to their root form for efficient and accurate modelling of the data. In this paper, MTStemmer, a new stemmer for the Marathi language is proposed. It focuses on the stripping of suffixes for obtaining the root word form. The proposed stemmer applies a multilevel approach by taking into consideration both auxiliary verb-based suffixes and gender-based suffixes. The presented approach intends to improve upon the limitations of the previously proposed stemmers for this language. The stemming performed by the stemmer is found to be more accurate in terms of mapping to the root words. Stemming is often an important pre-processing step before processing the data further for the main task. The benefit of the proposed stemmer is demonstrated by using it for an extractive Marathi text summarization task. A significant improvement in the performance of multiple performance metrics is achieved owing to the stemming done by MTStemmer. The working of the proposed stemmer shows promising signs for the development of similar engines for other Indic languages.
A Study on Determinants of Customer Satisfaction in E-enabled Bus Booking Platforms
Authors: Et. al. Amol Deogadkar,
Published: April 2021

E-enabled ventures (especially the online bus booking services) have witnessed impressive growth in India during last decade. Especially after COVID-19, customer shift towards online services is expected to augment. This paper is an attempt to develop a scale for determinants of customer satisfaction amongst the existing users of online bus booking (e-enabled platform). Using e-SERVQUAL model by Parasuraman et al. (2005), a draft instrument was designed. Since online bus services also includes physical experience of services offered, Tangibility factor was added in the construct. The questionnaire was tested on a sample of existing users of online bus booking services (n=105).  

After checking for the adequate reliability score, Exploratory factor Analysis (EFA) was performed. It resulted into extraction of four factors such as Contact, Fulfilment, Privacy and Responsiveness, accounting for 50.5% of total variance explained. Validating this scale on a larger sample for generalisation of the results would be the future agenda of research. Development of India specific scale for e-enabled business models in public transports can be considered as one of the major contribution of this study.
Impact of Covid 19 Induced Conditions on the Consumer Behavior on A Short, Mid and Long Term, for Consumption of Services
Authors: Et. al. Shripad Joshi,
Published: April 2021

The covid-19 pandemic has demonstrated the interconnected and quiet picture of the nation with humans without their human touch – and that no one is safe until everyone is safe. With this pandemic different changes taken place and after fighting and juggling with it for around 4 months, consumers accepted the fact “this is new normal”. But this pandemic affected as well as changed the pattern of consumer behavior in so many ways be it behavioral change or psychological change. As the current situation made us all come across a lot of newness and to study that change in consumer behavior, my internship was an attempt to do a research on the impact of Covid19 induced conditions on the consumer behavior on a short, mid and long term impact for consumption of services. This research was taken out to understand the same in better way.

In the tenure of two months of my internship was to carry out a detailed analysis of consumer behavior in terms of services and their impact. This project’s primary objective was to perform set of task in order to study different psychological changes taking place in consumer for achieving the same I have giving following task which needs to be followed in the mentioned sequence itself.

The tasks were mainly divided into five sets:

Background study and collection of information related to covid-19.

Preparation of questionnaire on the basis of

Primary data collection from respondent (min.300) on telephonic

Analysis of data and key findings

Formation of report on the collected information

This market research was carried out with constraint, provided from the external mentor in terms of the selection of respondent. Covid-19 made a great impact on the consumer behavior in just a course of few months as few restrictions were imposed on the Indian citizen by the government of India to make sure health and safety of the people. This study in only recited to consumer of India who reside in India itself for a focused study and targeted group of people. Alongside this there was great learning regarding some technical knowledge like working on excel and analysis of the respondent’s response.
A Comparative Social Study among Artisanal Subsistence Marine Fishers of Sundarbans, Paradeep and Chennai
Authors: Roy Pradip
Published: April 2021

This paper does a comparative study of the socio-economic condition of the artisanal subsistence marine fishers of the three locations of India namely Sundarbans, Chennai and Paradeep. The small-scale artisanal marine fishers of Chandrapur, Gobindapur, Kalinagar, Ganeshpur villages of Kakdwip Subdivision, Sundarbans along with that of Badakalikhada, Bijaychandrapur, Light House and Kharinali, of Paradeep and Nochi Nagar, Light House, Foreshore Estate, Mandaveli, Mylapore of Chennai were asked the standardised questions. Sundarbans, Paradeep and Chennai have three distinct socio-economic conditions prevailing due to the privatisation of the fishery industry and the distinct difference in income.The purpose of this study is to find the socio-economic condition of the artisanal marine fishers of the Sundarbans, Paradeep and Chennai. A descriptive rapid sampling method has been followed, where the fishers have been questioned about their respective socio-economic status. The paper studies the income difference and the effect of the usages of motorised boats in two three-year slots 2015-2018 and 2018-2020 affluence due to more exposure to the technical changes. The study found that the Chennai fishers were more adept to take the advantage of the new technologies of marine fishing thus far more economical stable, the Paradeep fishers were second in economic stability due to their comparative adaptability. The Sundarbans fishers were least adept with the technological changes in marine fishing, consequently they are least affluent.
Social Media, Misinformation and Covid-19
Authors: Desai Bhavana
Published: April 2021

Social media has come as a boon, and as curse of spreading false news. Fake news has always been on the horizon even earlier. Only difference is that the fake news in earlier times was more risky and dangerous. Because in those times, identifying the fake news was not only difficult but propagating about it was also difficult. In these times, even though we have fake news the controlling measures are better and convincing people about them easy. With Covid-19, the pandemic in a century, people saw the havoc fake news can play. The paper defines, classifies Fake news. It discusses all the measures taken by various social media to address this issue. It also broadly gives an overview of the technical measures taken to address the issue.