bluuebunny/crossref_metadata_2025 huggingface dataset:
Les routines discursives dans les débats du Parlement européen
Authors: Rouski Margarita
Published: April 2021

L’existence d’associations lexicales redondantes plus ou moins figées caractérise les discours spécialisés et s’articule avec la théorie des genres discursifs. En nous positionnant dans la perspective de la phraséologie étendue, notre objectif est d’analyser et d’étudier les séquences préfabriquées (sur l’exemple de « à titre », « à ce titre ») dans un genre institué, celui des débats au sein du Parlement européen. Analyser ces routines paraît un défi intéressant à cause des particularités que présente ce genre discursif qui se construit au carrefour de l’oral et de l’écrit. La forte présence de l’interdiscours juridique détermine toute la fonctionnalité des débats.
Les corpus et la base terminologique LBC
Authors: Cetro Rosa , Zotti Valeria
Published: April 2021

Nous présentons le travail préalable à la rédaction du dictionnaire LBC (Lessico Beni Culturali) dans lequel nous sommes engagées, un dictionnaire en ligne en cours de réalisation qui a pour objectif de pallier les lacunes des ressources lexicales et terminologiques pour la traduction dans le domaine de l’art. Ce dictionnaire tire profit de la constitution de corpus diachroniques et synchroniques : des corpus parallèles, composés d’un texte italien de référence pour la description du patrimoine artistique, Les Vies de Vasari, avec ses traductions dans les sept langues du projet ; des corpus monolingues comparables, qui rassemblent des textes représentatifs de différents niveaux de technicité. L’exploration de ces corpus s’effectue à l’aide, respectivement, des logiciels Sketch Engine et HyperMachiavel. Dans la dernière partie, nous illustrons par l’exemple du terme italien loggia comment les corpus à la base du dictionnaire LBC peuvent aider à résoudre les difficultés posées par la nature complexe de la terminologie de l’architecture.
Termes métaphoriques et domaines spécialisés
Authors: Fries Marie-Hélène
Published: April 2021

ce chapitre porte sur le fonctionnement des termes métaphoriques dans les domaines spécialisés, en prenant comme domaine d’application le changement climatique, appréhendé à travers le cinquième rapport du Groupe international d’études sur le climat (GIEC, 2013-14). L’analyse porte sur trois points. Tout d’abord, les termes métaphoriques constituent 15% de l’ensemble des entrées des glossaires, dans le cinquième rapport du GIEC, ce qui indique un potentiel néonymique avéré. Ensuite, les définitions contenues dans les glossaires permettent d’établir une typologie allant des termes métaphoriques fondés sur des similarités (carotte glaciaire) ou des anthropomorphismes (empreinte carbone) à des analogies fonctionnelles (effet rebond), des métaphores conceptuelles (horizon temporel) et des métaphores constitutives des théories (les scénarios). Enfin, l’examen des termes métaphoriques constitutifs de théories montrent la force des interactions entre économie et sciences du climat au sein du domaine du changement climatique.
L’implantation des emprunts verbaux à l’anglais dans un quotidien français (2006-2016)
Authors: Maniez François
Published: April 2021

En nous fondant sur le dépouillement d’un corpus de plus de 200 millions de mots constitué des articles d’un quotidien français (2006-2016), nous examinons l’implantation des emprunts verbaux à l’anglais. Nous étudions successivement les nominalisations utilisant le morphème –ing (coaching) et la formation de verbes par suffixation en -er (spoiler). Pour ces derniers, nous émettons l’hypothèse selon laquelle un emprunt préalable par le biais d’une forme nominale favoriserait la suffixation verbale (crash \shortrightarrow crasher), y compris dans des cas où les vocables ont des sens éloignés (match \shortrightarrow matcher).
Définition ontologique du terme
Authors: Roche Christophe , Papadopoulou Maria
Published: April 2021

Par « définition ontologique du terme », nous entendons une définition qui repose sur une représentation explicite du concept dénoté par le terme (la norme ISO 1087-1 définit le terme comme une « désignation verbale d’un concept général dans un domaine spécifique »). Cette démarche permet non seulement de prendre en compte les dimensions linguistique et conceptuelle qui composent toute terminologie, mais aussi de concilier les définitions des termes en langue et les spécifications formelles des concepts. Le résultat est un dictionnaire terminologique structuré selon l’ontologie du domaine (au sens de l’Ingénierie des Connaissances). Une telle approche, qui a un coût non négligeable, celui de la construction de l’ontologie, se justifie lorsqu’il existe un « flou » terminologique tel qu’il nuit à la communication et au partage des connaissances dans un domaine de spécialité. C’est le cas de la terminologie des vêtements de la Grèce antique.
Fonctions lexicales et annotation de corpus
Authors: Carini Isabella , Ferraresi Adriano , Bernardini Silvia , Lareau François
Published: April 2021

Cette étude présente une méthodologie pour l’annotation par fonctions lexicales des sous-corpus italiens du European Parliament Translation and Interpreting Corpus (EPTIC). Nous proposons une méthode pour étiqueter certaines collocations selon les catégories sémantiques fournies par les fonctions lexicales de la Théorie Sens-Texte (TST). Le corpus ainsi annoté deviendrait alors une ressource utile pour l’apprentissage des collocations de la langue italienne, en particulier pour les traducteurs et interprètes non italophones.
Contributions et corrections dans le dictionnaire japonais-français jibiki.fr
Authors: Mangeot Mathieu , Tomokiyo Mutsuko
Published: April 2021

Concernant le couple de langues français-japonais, les ressources disponibles sur le Web sont peu nombreuses et de taille modeste. Il existe cependant de nombreux dictionnaire imprimés de qualité et à large couverture. C’est pourquoi nous avons lancé le projet jibiki.fr de construction d’un dictionnaire japonais-français de qualité et à large couverture à partir de récupération de données issues du dictionnaire de Jean-Baptiste Cesselin (1940) que nous avons numérisé et lu optiquement. Nous avons complété ces données par d’autres issues du dictionnaire JMdict de Jim Breen (2004) et de Wikipedia pour pallier le manque de vocabulaire récent. Nous avons ensuite installé ces données sur une plateforme de gestion de ressources lexicales en ligne. Les utilisateurs peuvent alors consulter le dictionnaire et corriger les erreurs qu’ils trouvent lors de la consultation. La plateforme possède également une interface de programmation (API) qui permet de programmer des scripts afin de corriger automatiquement certains phénomènes repérés lors de consultations. La ressource ainsi construite est disponible en téléchargement libre de droits. Cet article décrit certaines techniques de correction automatique et manuelle à l’issue des 3 ans et demi du projet.
Annotation du lexique scientifique transdisciplinaire dans des écrits scientifiques en Sciences Humaines et Sociales
Authors: Jacquey Évelyne , Hatier Sylvain , Tutin Agnès , Kister Laurence
Published: April 2021

Dans cet article, nous présentons une expérience d’annotation manuelle en corpus d’occurrences du lexique scientifique transdisciplinaire en Sciences Humaines et Sociales (SHS). Le choix du domaine des SHS est intéressant dans la mesure où il soulève des difficultés de délimitation lexicale entre le lexique disciplinaire des disciplines des SHS dont relèvent les articles du corpus, le lexique scientifique transdisciplinaire des SHS et les lexiques de langue générale. Ces frontières floues entre les différents lexiques qui sont présents dans les articles scientifiques annotés se révèlent précisément lorsqu’on tente d’annoter et de désambiguïser les occurrences du lexique scientifique transdisciplinaire. Malgré cette difficulté, la ressource annotée pourra être particulièrement utile pour illustrer en corpus le fonctionnement du Lexique Scientifique Transdisciplinaire.
Turkish-Greek Rapprochement in the 1930s: The British Factor as a Third Party
Authors: VARDAĞLI Emine Tutku
Published: April 2021

The third party effect in international relations gained popularity in 1990s in the context of conflict resolution. However, the Turkish-Greek relations in the modern era have always been discussed in reference to a third party involvement and Britain has always prevailed over the other countries as the most prominent third party. This study searches for the British influence on the Turkish-Greek rapprochement in 1930s. The British factor influence is usually taken as a matter of Great Power dominance or the “provocateur of rivalries between the two nations” from the Turkish point of view or “cooperation of allies” from the Greek point of view. Whereas, this study focuses on a specific conjuncture in which Britain acted neither as a “provocateur” nor as an “ally” for any party. In reference to the historical sources, it is documented that from the late 1920s the British approach to the Turkish-Greek affairs was altered dramatically, parallel to the overarching systemic changes in the interwar period Specifically, it is argued that the revision of British financial policy in response to the Great Depression and its retreat from the Eastern Mediterranean as a naval power directed Greece to change its foreign policy orientations with a sudden demarche and offer Turkey a peace settlement. Rather than attributing this rapprochement to the efforts of charismatic leaders, this study analyses the issue with a realist mind in reference to the British policies modified in parallel to the systemic changes during the interwar years.
Etik Kültürünün Geliştirilmesinde Sivil Toplumun Rolü
Authors: ALTUN Fatih , AKALIN Hürü
Published: April 2021

Etik, bireylerin toplumsal hayatta gerçekleştirdiği davranışları doğru-yanlış, iyi-kötü çerçevesinde sınırlandırmaktadır. Bu bağlamda toplumsal hayatta bireylerce etik ilkelere uygun davranışların geliştirilmesi tüm toplumun huzuru için gereklidir. Kamu ve özel sektör kurum ve kuruluşları nezdinde etiğe aykırı davranışların denetlenmesini sağlayan mekanizmalar bulunmaktadır. Tüm bu mekanizmaların yanına da özel sektörden ve devletten bağımsız olarak var olan sivil bir alan bulunmaktadır. Bu sivil alanın ögesi olan sivil toplum örgütleri, üçüncü bir sektör olarak, toplumun her kesiminden bireyleri gönüllülük esası ile bünyesinde barındıran bir yapıya sahiptir. Yaptıkları çalışmalarla toplumda insanların yaşam kalitelerinin artmasına katkı sağlamayı, etik faktörlere ve değerlere saygıyı geliştirmeyi hedeflemektedirler. Kamu ve özel sektöre yönelik denetim rolü de olan sivil toplum örgütleri toplumsal hayatta etik ihlallere karşı bir ses konumdadır. Etik ihlallere karşı bilincin oluşması ve etik davranışların toplum geneline yayılmasıyla kültürel olarak bireylerin etik davranışları içselleştirmesi sivil toplum örgütleri aracılığıyla gerçekleşmektedir. Bu bağlamda çalışmanın amacı etik kültürünün oluşmasında sivil toplumun rolünü incelemektir. Çalışmada öncelikle etik ve etik kültür kavramı, daha sonra sivil toplum ve sivil toplum kuruluşları ve son olarak da etik kültürün geliştirilmesinde sivil toplumun rolü literatür üzerinden ele alınmıştır. Yapılan değerlendirmelerde; kamu ve özel sektörden bağımsız üçüncü bir sektör olarak nitelendirilen sivil toplum alanı, toplumun genelinde bireyler özelinde ortaya çıkan etik ihlallere karşı bir bariyer görevi gördüğü ve etik kültürünün oluşturulmasında aktif bir rol oynadığı görülmüştür. Sonuç olarak; sivil toplum örgütlerinin toplum üzerindeki dönüştürücü rolü, etik olan davranışlarını toplumsal hayatta bireylere kazandırmasında önemli bir rol oynadığı söylenebilmektedir.
Implementation of Online E –Auction to Overcome the Problem of Corruption with Effective and Efficient Procurement with Transparency
Authors: Anand Darpan
Published: April 2021

This research paper explores the concept of e-Auction, an increasingly form of online procurement. There is fixed delivery policy. This is a fully dynamic system which can be easily operated by the users. This research paper explores all the increasing form of online procurement. Online e auction system is gaining popularity day by day because of its ease of making online bidding and selling or buying. Users can freely go the website and register there and it’s ready for selling or buying their product. The main thing that is needed to be there is trust among the users, so that they can easily register and take part in the process without having any doubt regarding security. The aim of any online system are related with two points that are: 1.Customer satisfaction 2.Business purpose. Therefore, to meet these requirements there must be need of making enhancements in the online auction system. This paper will explore the all forms of online procurement that we can make to improve the current system.
An automatic pesticide sprayer to detect the crop disease using machine learning algorithms and spraying pesticide on affected crops
Authors: Et. al. Vijay A. Kotkar,
Published: April 2021

In the face of a focus on development, a farming residue a most powerful sector of an Indian financial management system both regarding the benefaction to gross domestic product (GDP) and also the source of utilization to the billions of people across the country. Agriculture is an agribusiness of the farmer that take part in the Indian financial management system. More than 75 percent of farm households depend on agriculture for their livelihood. But pest infestation in crops is a serious problem that slows down the growth of agricultural production. Crop disease identification in the agricultural sector is essential to deal with such problems. This present paper provides a technical solution to solve the type of issue in which the CNN algorithm is used to diagnose crop diseases and involves automatic pesticide spraying to spray pesticides on the affected crops locally. The system is based on pesticide sprays. The design deals with three modules image acquisition, image pre-processing, image segmentation, feature extraction, and classifications, and automatic spraying pesticide on the crop. The suggested system can work from a distance with a laptop with the help of a VNC viewer and Python IDLE.
Signature Verification Using Support Vector Machine and Convolution Neural Network
Authors: Et. al. Kritika Vohra,
Published: April 2021

Signature is used for recognition of an individual. Signature is considered as a mark that an individual write on a paper for his/her identity or proof. It is used as a unique feature for identifying an individual. It is highly used in social and business functions which gives rise to verification of signature. There are chances of signature getting forged. Hence, the need to identify signature as genuine of forged is utmost important. In this paper, identification of signature as genuine or forged is done using two approaches. First approach is using SVM and second is using CNN. For SVM, pre-processing of signature image is done and feature extraction is performed. Features extracted are histogram of gradient, shape, aspect ratio, bounding area, contour area and convex hull area. Further, SVM is applied to classify signature as genuine or forged and accuracy is determined. In the second approach, signature image is pre-processed, CNN is used to classify signature as genuine or forged and accuracy is determined. Dataset used here is ICDAR Dutch dataset along with 80 signatures taken from 4 people.Dutch dataset consists of 362 signature imagesand signature images taken from 4 people consists 10 genuine and 10 forged signatures which sums to 442 signature images. The proposed system provides accuracy of 86.39% using SVM and around 83.78% using CNN.
The Implementation of Question Answer System Using Deep Learning
Authors: Et. al. Vaishali Fulmal,
Published: April 2021

Question-answer systems are referred to as advanced systems that can be used to provide answers to the questions which are asked by the user.  The typical problem in natural language processing is automatic question-answering. The question-answering is aiming at designing systems that can automatically answer a question, in the same way as a human can find answers to questions. Community question answering (CQA) services are becoming popular over the past few years. It allows the members of the community to post as well as answer the questions. It helps users to get information from a comprehensive set of questions that are well answered. In the proposed system, a deep learning-based model is used for the automatic answering of the user’s questions. First, the questions from the dataset are embedded. The deep neural network is trained to find the similarity between questions. The best answer for each question is found as the one with the highest similarity score. The purpose of the proposed system is to design a model that helps to get the answer of a question automatically. The proposed system uses a hierarchical clustering algorithm for clustering the questions.
Performance Comparison for Spam Detection in Social Media Using Deep Learning Algorithms
Authors: Et. al. Rushali Deshmukh,
Published: April 2021

Social media applications like Twitter, Instagram, Facebook have helped people to connect to each other. This has been eased due to high-speed internet. However, this has invited various spam messages through tweets or Facebook. The sole purpose of such messages is aggregation or exploitation of personal data in terms of finances or medical records, political benefit’s or community violence. This makes spam detection an extreme value-added service. We tend to recommend a 1D CNN algorithmic technique and compare results with variants of CNN and with boosting algorithms. The model is braced with linguistics data in the illustration of the words with the assistance of knowledge-bases such as Word2vec and fast ext. This improves the end to end performance, by providing higher linguistics vector illustration of input testing words. Projected Experimental results show the efficiency of the projected approach from the point of view of accuracy, F1-score and response time.
Maintainability Evaluation for Object Oriented Software Metrics Using Tool Cohesion Inheritance (COIN)
Authors: Et. al. Amit Sharma,
Published: April 2021

In modern era, maintainability is an important part for software development that covers approx. 70-75% of development cost of the software system. It can allow the customer to adapt the software quickly and easily in an agile manner. Object oriented software metrics plays an important role for the designing of software development. Its features can be categorized into the object oriented metrics and the hierarchies of the class. In this paper, a tool named as COIN can help for evaluating the maintainability factors of object oriented software system using metrics like cohesion, coupling, inheritance and other object oriented metrics as well as through which we can analyzed the all metrics for the software system for evaluating the maintainability factors and testability also.
Twego Trending: Data Analytics Based Search Engine Using Elasticsearch
Authors: Et. al. Vedant Karmalkar,
Published: April 2021

Twitter monitoring enables firms to consider their market, stay on track of what is being said regarding their company and contenders, and uncover emerging market trends. Twego Trending is a platform where data will be viewed and structured by an automated procedure of analyzing and processing tweets data and classifying it into various hash statistics and visualizations. Implementing Twego forecasting analysis on Twitter data using various technologies may help businesses know how consumers talk about their product. Twitter has more than 340 million active users and almost 500 millions tweets are posted every day. This social media platform helps companies to reach a large audience and communicate without intermediaries with consumers. The aim is to build a Search Engine in which , when someone will type in a query , it will return back tweets as well as do data analytics on the results and provide visualizations.
A Modern Approach For Finding Minimization Cost In Transportation Problem
Authors: Et. al. G. Padma karthiyayini,
Published: April 2021

In this paper, the proposed technique is new and simple for obtaining an initial basic feasible solution (IBFS) of a transportation problem (TP).  The objective of this paper is to find how to minimize the transportation cost (TC) by using a new approach.  The method is illustrated with some numerical examples using algorithm.
A M/M/1 Queueing Network with Classical Retrial Policy
Authors: Et. al. S. Shanmugasundaram,
Published: April 2021

In this paper we study the M/M/1 queueing model with retrial on network. We derive the steady state probability of customers in the network, the average number of customers in the all the three nodes in the system, the queue length, system length using little’s formula. The particular case is derived (no retrial). The numerical examples are given to test the correctness of the model.
A Study of Multicollinearity Detection and Rectification under Missing Values
Authors: Et. al. Alhassan Umar Ahmad,
Published: April 2021

In this paper, the consequences of missing observations on data-based multicollinearity were analyzed. Different missing values has a different effect on multicollinearity in the system of multiple regression model. Therefore, to ascertain the clear relationship between both multicollinearity and skipping values on monotone and arbitrary missing values, the collinear effects were potentially studied on two types of missing values. Similarly, the comparison was done to investigate each response of multicollinearity on each pattern of the missing values with the same informatics data. It was found that tolerance and variance inflation factor fluctuates due to the missing of information from the sample analyzed at a different percentages of the missing values.It was observed that the more missing values available in the sample obtain from either population statistics or survey than multicollinearity will be found in the system of multiple regression, this is because as the number of Missingness increase it shows a drastic decrease from the tolerance level on both monotone and arbitrary types as observed from the analysis.
Detection of Moving Vehicles on Highway using Fuzzy Logic for Smart Surveillance System
Authors: Et. al. Ajay Suria,
Published: April 2021

The computer vision incorporates a prominent performance in developing models for medical, security and lot more concepts and we need to deal with detecting and tracking the moving objectsuch as moving vehicle or person. Various challenges are available due to environmental issues, illumination variation, or fast motion etc. This paper work has developed a fuzzy logic based method for identifying the moving vehicles though bounding boxas depicted in the green colour. The paper depictsa fuzzy based method to detect and track the object around the location until the specific secured dimension of the device. The extended recognition (EIR) is the proposed method which works on the automatic fuzzy set creation.The EIR consists of the pixels of the surroundings and recognize them with the predefined inputs we have with the EIR algorithm in the repository. This methodology successfully identified and detects vehicles. It can track the instances within that visible region and this is working as a human eye mechanism.
Role of Clean Technology in Sustainable Manufacturing
Authors: Agrawal Manoj Kumar
Published: April 2021

Sustainable manufacturing is the backbone for the development of standard of living of the country along with its industrial growth. It is a process for meeting development needs while maintaining the stability, integrity and beauty of natural biotic systems such that societal consumption of natural resources is incommensurate with the rate which the nature can replenish itself. It can be more cost and time efficient, especially for small scale production and customized products. In order to have complete and efficient structure of sustainable manufacture it must produce green products by using clean technologies. The manufacturing industries which can integrate the aspect of clean technologies in their technical and financial decisions will hold an important role in winning the everlasting future race.

The main objective of this paper is to elaborate the concept and implementation of clean technologies in sustainable manufacturing which includes the process, models and impact assessment of green technologies.

The ideas presented in this paper will be quite useful for the researchers and industrialists who are interested in the field sustainable manufacturing.
CFD Analysis of Golf Ball with Various Turbulence Models.
Authors: Et. al. M.Sundararaj,
Published: April 2021

In this research work we investigate the performance of golf ball with 256 circular arc dimples on golf ball. The turbulence characteristics and flow pattern over golf with various velocities investigated by computational fluid dynamics in suitable turbulence model, in addition that the distance covered by a ball and rotational motion characteristics also investigated with same turbulence model
Design and Analysis of Butterfly Valve
Authors: Et. al. R.Manikandan,
Published: April 2021

The main objective of this project is shape optimization and structural stability of the butterfly valve for metallic and nonmetallic materials butterfly valve is mostly used in the engine carburetors need to make structural stability and shape optimization plays the main role for this component, design modifications and material comparative analysis done in ANSYS Structural modules and find the optimized shape through stress, strain and deformation results
Current Progress on Passion Efficient Cluster Based Routing Protocols of Wireless Sensor Networks for Medicine Systems
Authors: Et. al. S. SriGowthem,
Published: April 2021

Detected modified works by getting to cellar organizes as clear in A measure of doctor's facilities and therapeutic focuses are investigating utilizations of remote sensor course of action (WSN) innovation to a propelled ambit of restorative applications, including pre-healing center, and in-clinic crisis mind, misfortune reaction, and accomplishment obliging recovery. Current Healthcare Wireless Sensor Networks (HCWSN) examination patterns concentrate on patients, dependable correspondence, obliging versatility, and vitality proficient steering, a some portion of others. The reviews concentrate on modified bunch based procurement conventions which are accustomed in gradual addition movement capacity of WSN for medicinal services apparatus and to call attention to imperative concerns in group established obtaining (CBR) understanding that counselor to propel them in acclimation to develop their machine go. Today, Wireless Sensor Networks are adequate acknowledged and flourishing securing conventions acknowledge been proposed in theory with an attention on the various leveled directing. This cardboard overviews the WSNs vitality productive CBR strategies that are accustomed for Healthcare Advice framework. Late progress and restrictions of forerunner studies were highlighted. The procurement conventions are classified by comparing action proficiency. We mean for counselors to bound investigate territories that hunger for added retention and to illustrate an atypical arrangement for healing the capacity of outright conventions.
Organization Culture and its impact on Work Performance
Authors: Kamalakannan Dr. R.
Published: April 2021

This study aims to assess direct and indirect influences of organization culture on work performance, as well as to evaluate the influences of each sub element of organization culture on work performance. The quantitative research has been chosen in order to meet the purpose of the research and to test those relationships empirically; the data is collected from structured questionnaire. Sample size is 230 and also Descriptive research study is used as a research design and followed simple random sampling method. The sample was selected from business process outsourcing (BPO) companies being operative in Chennai. These findings indicate a positive relationship between organization culture and work performance. Likewise, organization culture sub-elements, namely achieving Goals, empowerment, managing changes and teamwork were found positively impacting the work performance
Analysis of Biodegradation and Microbial Growth in Groundwater System Using New the Homotopy Perturbation Method
Authors: Et. al. S. Thamizh Suganya,
Published: April 2021

In this paper, we drive the concentration of microbial growth in the groundwater system. This model is based on the system of non-linear differential equations. The system of equations is solved by using the new homotopy perturbation method. We followed toluene degradation and bacterial growth by measuring toluene and oxygen concentrations and by direct cell counts. And the total amount of toluene degraded by Pseudomonal putida F1 in the sediment columns increased with rising concentration of the source and flow rate. In contrast, the efficiency of toluene removal slowly decreases. The approximate analytical expression of this model, the concentration of toluene and bacteria also consideration of a metabolite concentration, the microbial growth of attached and suspended bacteria, depending on the simultaneous presence of toluene. Finally, oxygen and dual Monod kinetics are discussed. The analytical solutions are also compared with simulation results and satisfactory the agreement is noted.
On t-Neighbourhoods in Trigonometric Topological Spaces
Authors: Et. al. S. Malathi,
Published: April 2021

In this paper we introduce a new type of neighbourhoods, namely, t-neighbourhoods in trigonometric topological spaces and study their basic properties. Also, we discuss the relationship between neighbourhoods and t-neighbourhoods. Further, we give the necessary condition for t-neighbourhoods in trigonometric topological spaces.  .
Computational simulation including interpretation of the importance of the immune system in tumor growth
Authors: Et. al. Nidhi S Vaishnaw,
Published: April 2021

The secret to tumor growth and survival is proliferation. Therefore, to plan and formulate a required therapy process, the study of the propagation rate is very important. The objective of the immune system is to protect against disease or other potentially harmful foreign bodies, a set of processes and mechanisms within the body. In regulating the growth of a tumor, different cells of our immune system perform their assigned function. Natural Killer cells, Dendritic cells, and CD8+ cells are among the many cells. In our scientific literature, in the presence of numerous family components of the human immune system, we have developed a mathematical model to evaluate the dynamics involved in tumor formation. We separated the population of tumor cells into proliferating and inactive subsets and felt that the cells of the immune system had little effect on the dormant cells. This partition of the universal tumor set into the subsets as mentioned has never been made in any of the previous research works. Also, to the best of authors’ knowledge, the compartment combination considered for the present work adds novelty to the article.
A new finite element method using MATLAB for Poisson’s Equation in axisymmetric domain
Authors: Et. al. Shylaja G,
Published: April 2021

This paper demonstrates finite element procedure for two-dimensional axisymmetric domains. For many engineering applications like structural engineering, aerospace engineering, geo-mechanics etc., the solution domain and boundary conditions are axisymmetric. Henceforth, we can illuminate just the axisymmetric part of the solution domain that gives the data of the entire domain. This paper demonstrates the effectiveness of using MATLAB programming demonstrated by Persson et.al (2004) as the initial mesh for discretization of axisymmetric domains for higher order meshing. Further, solving some class of partial differential equations using finite element method with nodal relation given by subparametric transformations Rathod et.al (2008). In this paper a cubic order curved triangular meshing for some of the domains like ellipse and circle are demonstrated. These in turn finds its applications in the fields like stress analysis in mechanical engineering, torsion twist (shear strength) analysis in civil engineering, evaluation of stress intensity factor for quarter elliptical crack in pressure vessels in equipment industry etc,. The output data from the meshing scheme like meshing of the domain, nodal position, element connectivity and boundary edges are been used in the finite element procedures. The efficiency of the method is achieved by p-refinement scheme i.e., fixing the number of elements and increasing the polynomial order.
New Concepts of Dense set in i-Topological space and Proximity Space
Authors: Et. al. Yiezi Kadham Mahdi  AL Talkany,
Published: April 2021

A new kind of some topological spaces concepts has been defined in i-topological spaces with respect to proximity spaces in our paper.
Liquidity Ratio: An Important Financial Metrics
Authors: Et. al. B.N. Lalithchandra ,
Published: April 2021

The world of business has become an important criterion for survival these days. In the context of the realm of business, the liquidity ratio plays an imperative role in all possible ways. It has become the obligatory criteria in analyzing the liquidity ratio for a better understanding of the world of business nuances in general and the status of the company in particular. Analyzing the liquidity ratio guides in taking a bold and smart decision which will, in turn, seek the attention of prospective investors. It is highly essential for small-scale business developers to have a proper analysis of the liquidity ratio for better growth progress. This paper tries to investigate the needs of the liquidity ratio analysis from a business perspective.
Resnet Based Feature Extraction with Decision Tree Classifier for Classificaton of Mammogram Images
Authors: Et. al. T. Sathya Priya,
Published: April 2021

Right now, breast cancer is considered as a most important health problem among women over the world. The detection of breast cancer in the beginning stage can reduce the mortality rate to a considerable extent. Mammogram is an effective and regularly used technique for the detection and screening of breast cancer. The advanced deep learning (DL) techniques are utilized by radiologists for accurate finding and classification of medical images. This paper develops a new deep segmentation with residual network (DS-RN) based breast cancer diagnosis model using mammogram images. The presented DS-RN model involves preprocessing, Faster Region based Convolution Neural Network (R-CNN) (Faster R-CNN) with Inception v2 model based segmentation, feature extraction and classification. To classify the mammogram images, decision tree (DT) classifier model is used. A detailed simulation process is performed to ensure the betterment of the presented model on the Mini-MIAS dataset. The obtained experimental values stated that the DS-RN model has reached to a maximum classification performance with the maximum sensitivity, specificity, accuracy and F-Measure of 98.15%, 100%, 98.86% and 99.07% respectively.
Feministic Analysis of the House of the Spirits
Authors: Et. al. Tesia George,
Published: April 2021

Begun in the nineteenth and early twentieth centuries, the feministic theory has manifested in a variety of disciplines including literature. The House of The Spirits written by the Chilean author Isabel Allende in 1982 depicts the struggle faced by women of different classes in different generations. Although the novel spans about fifty years of the life of Esteban Trueba, it is the women around him during distinct phases of his life that bring life to the novel. This study explores the patterns of women subjected to distress and misery because of the male subjects around them. The second wave of feminism which lasted roughly two decades finds itself in the vicinity of the movement. It is no secret that the writer wanted to portray the veracity of the society with revolutionary and conventional women. The work also portrays how women empower the spirits of others of their gender around them. This study challenges the belief that exceptional women who are constrained in their families because of their gender endure more grief till they become the best version of themselves.
National-Cultural Features of Verbal Associations
Authors: Et. al. Lutfullayeva Durdona Esanovna,
Published: April 2021

The article discusses the role of associative thinking in the language of the external world, the associative relationship of language units, the issue of associative study of language units in Uzbek linguistics, the associative features of national-cultural units in the Uzbek language.  The results of the associative experiment conducted in the Uzbek language were analyzed, and the national-cultural symbol of the language units and the reflection of this symbol in the associative units were commented on.  The article also discusses issues such as the fact that the meaning of associations changes over the years, the scale of verbal associations varies among linguists, and the role of associations as a basic unit in text formation.
A Survey: Security Challenges of Vanet And Their Current Solution
Authors: Et. al. R. Hemalatha,
Published: April 2021

Vehicles have a very crucial role in our routine life; we use different kinds of transportation in our living world, massive increasing vehicle on the road insisting serious problem such as traffic jam, vehicle congestion, road accidents, the demand for more fuel etc., to subdue the all those problems, the technology has used which is called VANET (Vehicular ad-hoc networks) VANET is self-organized wireless network when it has demanded to make communication between vehicles to vehicles and vehicles to infrastructure. VANET successfully implements the intelligent transportation system (ITS), even the vehicles having short-range networks. Due to the rapid change of network topology, the VANET installation is challengeable on the vehicles. To give a safe drive and reduce car accidents, the communication among drivers of vehicles and roadside devices makes sure that should be authenticated; any wrong modification (or) correction in real-time communication may create system failure and affect road safety. This article provides a brief description of various challenging issues in VANET and presents some existing solutions for these problems. Later, we discussed the current status of research and future goals. With this article, researchers and academicians can have a more detailed VANET and research trends in this emerging field.
Instantaneous Power Theory For Unbalanced Voltage Compensation Of 3-Phase Power Systems
Authors: Et. al. Gaddam Siva,
Published: April 2021

This paper presents another control technique for a three-phase power systems which depends on instantaneous power hypothesis for unbalanced voltage. In this paper we will dissect power quality issues under distortional and unbalanced voltage conditions, In this methodology, the voltage and source voltages are utilized to create the reference voltages of an arrangement dynamic power channel and source currents are utilized to produce the reference currents of a shunt dynamic power channel. The proposed control approach depends on instantaneous power and is streamlined by utilizing a self-tuning channel, without utilizing any filters or phase bolted circle, and without estimating voltage or channel currents. The presentation of the proposed control approach is assessed regarding power factor adjustment, source impartial current alleviation, voltage adjusting and relief of the current and voltage harmonics of distortional and unbalanced voltages in a three-phase system. Accordingly, the occasions that current is estimated is diminished and system execution is improved. The outcomes got by MATLAB/SIMULINK programming show the viability of the proposed control procedure in contrast with the regular technique.
Review of Mutual Funds Investment in India
Authors: Et. al. Govindappa Mani,
Published: April 2021

The Indian mutual fund's industry, which started its excursion with the foundation of the Unit Trust of India in 1964, has seen unobtrusive development lately. There has been developing both regarding AUM just as the assortment of items advertised. As on December 2015, the investors in India have a choice to look over in excess of 1,000 of mutual funds plans spread across 44 fund houses with a complete AUM estimation of '13.46 lakh crores. The passage of unfamiliar players has prompted the presentation of an assortment of inventive items to suit the developing necessities of Indian investors. The Indian mutual fund's industry was discovered to be overwhelmed by institutional investors.
Review of E-Commerce Business in India
Authors: Et. al. Krishnalatha Vathalulu,
Published: April 2021

E-Commerce is growing step by step in both B-to-B and B-to-C context. Retailing industry including Fashion Retail and Grocery retailing have gotten on to the trend and have begun to offer E exchanging or Online Shopping. In the early 1990s we saw Companies setting up websites with very little understanding of E Commerce and Consumer behavior. E commerce as a model is entirely unexpected from conventional shopping in all respect. All Companies have quick realized the require to have E commerce strategy separately yet as a piece of overall Retail Strategy. Retail Strategy involves anticipating the business development keeping in view the current market trends, opportunities just as threats and building a strategic arrangement that helps the Company deal with all these external factors and stay on course to reach its objectives. Further the Retail business strategy is concerned with identifying the markets to be in, building the product portfolio and band width coupled with brand situating and the different elements of brand perceivability and in store advancements etc. Business operations are more or less norm and proven models that are adapted as best practices.
Efficient Power Electronic Converters for Electrical Vehicle Application
Authors: Et. al. Muddasani Sampathkumar ,
Published: April 2021

Now a days we are looking for alternate sources like electric vehicles, in order to cut down the pollution from automobiles which are growing rapidly. Across the globe, governments have been tackling the concerning problem of air-polluting emissions by committing significant resources to improving air quality. Achieving the goal of air purification will require that both the private and public sectors invest in clean energy technology. It will also need a transition from conventional houses to smart houses and from conventional vehicles to electric vehicles (EVs). It will be necessary to integrate renewable energy sources (RESs) such as solar photovoltaics, wind energy systems and diverse varieties of bioenergies. In this paper, a hybrid converter is proposed and designed to realize the integration of the DC/DC converter, and DC/AC inverter together in the Battery Electric Vehicles (BEVs) power train with high performance in any operating mode, acting as a backup generator to supply emergency power directly to home.
Effect of Single Axis Solar Tracking System on the Performance of Photovoltaic System: A Comparative Experimental Study
Authors: Singh Ravindra Pratap
Published: April 2021

Nowadays the demand for energy increased rapidly duo to escalating population and global technological development. Consequently, the focus on non-conventional energy sources is increasing rapidly due to change in climates and unhealthy environment caused by fossil fuels. Solar energy is vital to fulfill this growing need of clean energy. The performance of the photovoltaic (PV) technology used for capturing sun’s radiation is directly affected by solar irradiation. The optimum performance of the PV systems would be possible if the solar panel is always orientated towards the direction of maximum radiations of sun. Hence, in order improve the performance of the PV, tracking of maximum radiation of the sun is extremely important. In this experimental study, solar tracking is done using a single axis solar sun tracker which not only provides accurate but also cost efficient solar sun tracking in comparison with an existing stationary system of same capacity. The results show that a single axis solar tracking systems have generated approximately 28.3% more compared to static systems and is also found to be more economic than a solar tracking system which uses microcontroller.
Question Classification for Efficient QA System
Authors: Et. al. K. P. Moholkar ,
Published: April 2021

Natural Language Processing (NLP), a subfield of Artificial Intelligence (AI), supports the machine to understand and manipulate the human languages in different sectors.  Subsequently, the Question and answering scheme using Machine learning is a challengeable task. For an efficient QA system, understanding the category of a question plays a pivot role in extracting suitable answer. Computers can answer questions requiring single, verifiable answers but fail to answer subjective question demanding deeper understanding of question. Subjective questions can take different forms entailing deeper, multidimensional understanding of context. Identifying the intent of the question helps to extract expected answer from a given passage. Pretrained language models (LMs) have demonstrated excellent results on many language tasks. The paper proposes model of deep learning architecture in hierarchical pattern to learn the semantic of question and extracting appropriate answer. The proposed method converts the given context to fine grained embedding to capture semantic and positional representation, identifies user intent and employs a encoder model to concentrate on answer span. The proposed methods show a remarkable improvement over existing system
Feature Selection: An Assessment of Some Evolving Methodologies
Authors: Rasheed A. Abdul
Published: April 2021

Feature selection has predominant importance in various kinds of applications. However, it is still considered as a cumbersome process to identify the vital features among the available set for the problem taken for study. The researchers proposed wide variety of techniques over the period of time which concentrate on its own. Some of the existing familiar methods include Particle Swarm Optimisation (PSO), Genetic Algorithm (GA) and Simulated Annealing (SA). While some of the methods are existing, the emerging methods provide promising results compared with them. This article analyses such methods like LASSO, Boruta, Recursive Feature Elimination (RFE), Regularised Random Forest (RRF) and DALEX. The dataset of variant sizes is considered to assess the importance of feature selection out of the available features. The results are also discussed from the obtained features and the selected features with respect to the method chosen for study.
An Optimized Utilization of Battery Backup in MANET Using Modified Firefly Algorithm
Authors: Et. al. Manoj Kumar,
Published: April 2021

Temporary connection failures and route changes happen in a Mobile Ad Hoc Network (MANET). MANET enjoys extensive variety of applications like in tactical networks, Sensor networks. Much battery backup is required while tuning a node that is far from the sender node While compared to the node which is near in respect to sender, In this paper we are proposing an approach of optimized utilization of battery backup in MANET Battery Backup is a main constraint in mobile ad hoc networks Most of the battery is wasted in tuning to the networks repeatedly there by making the mobile node vulnerable to Jail. This paper emphasize on proper utilization of battery backup by varying the signal strength according the distance of the nodes. Modified FireFly Algorithm (MFFA) is greatly utilized in this research for boosting up of battery backup. The cluster head should maintain a table for battery backup and decision of task distribution will be based on this table.