bluuebunny/crossref_metadata_2025_split huggingface dataset:
L’étude diachronique de « à » et « de » après les verbes d’affection et leurs équivalents en arabe
Authors: Khaldi Malek 
Published: April 2021

Les verbes d’affection aimer, adorer, désirer, préférer sont suivis soit directement d’un infinitif soit indirectement par le biais d’une préposition. Cet emploi contrastif nous a suggéré une étude diachronique visant à montrer la coexistence ou non de ces différentes structures. Pour ce faire, nous avons usé d’un logiciel de traitement de corpus ANTCONC afin de distinguer les emplois fréquents des emplois tombés en désuétude. L’emploi alternant de « à » et « de » après certains verbes se trouve expliqué par des mouvements ou courants de mode ou par des servitudes grammaticales. Une telle explication s’avère, pour un linguiste psychomécanicien, insuffisante et dépourvue de rigueur explicative. C’est pour cette raison que nous avons recours à la psychomécanique du langage qui attribue à chaque particule un sens puissanciel et un autre effectif, les deux étant susceptibles d’expliquer leur usage alternant. En outre, la traduction de la suite « aimer + à / de + infinitif » en arabe tout en gardant les mêmes nuances de sens s’avère impossible. C’est pourquoi nous aspirons, dans un travail ultérieur, à traduire ces tournures par la plateforme NooJ pour prendre en considération ces remarques.
Exploration et visualisation de la variation terminologique en corpus spécialisés complexes
Authors: Picton Aurélie , Drouin Patrick , Humbert-Droz Julie 
Published: April 2021

L’analyse simultanée de plusieurs types de variation en corpus spécialisés comparables est une question encore peu traitée, malgré des besoins et des moyens méthodologiques grandissants pour les langues de spécialité. Pour discuter et alimenter la réflexion sur cette question, nous présentons deux exemples concrets de recherche : d’une part, l’étude de la déterminologisation, c’est-à-dire le passage de termes et concepts d’un domaine de spécialité vers la langue générale ; d’autre part, la création de l’Encyclopédie humanitaire dont l’un des objectifs principaux est d’analyser les différences d’usage des termes du domaine selon différentes perspectives. Sur la base d’une approche outillée en corpus, nous interrogeons différents axes et outils méthodologiques pour accompagner ce type d’analyse. Nous détaillons trois axes : le besoin de visualisation des données, de regroupement et de modélisation des phénomènes à observer, que nous illustrons sur la base d’exemples tirés de nos données.
Sarcasm Detection using Deep Learning
Authors: Et. al. Seema Kedar, 
Published: April 2021

It is becoming a trend in current society to use complex and indirect statements for communication which includes metaphorical language, proverbs and other similar forms. One of such communication form is sarcasm. Sarcastic statements can have symbolized, hidden or even entirely opposite meaning from the conveyed statement. Sarcasm is inherently ambiguous in nature which makes it very difficult to understand even for humans let alone machines. In this paper, we have implemented sarcasm detection based upon difference and similarity between facial emotion of the person and sentiment of his verbally conveyed message.
Interactive Robot for Automated Question and Answer System
Authors: Et. al. Vijay A. Kotkar, 
Published: April 2021

This paper aims in developing an intelligent interactive robot with multi-functions which provides entertainment and companion. To obtain the information accurately, we have used speech recognition to perform the operations. For the Robot behavior, planning, interactions with the voice assistant and interactions with the user the various speech recognition results are applied. The robot has a simple design. In this study, we have used the microphone for speech recognition. In addition, we have used room automation, notice display using voice message of the intelligent interaction between human and robots.
Implementation paper of Traffic Signal Detection and Recognition using deep learning
Authors: Et. al. Nikhil S. Rajguru, 
Published: April 2021

Traffic boards and traffic signals are used to maintain proper traffic through busy roads. They help to recognize the rules to follow when driving the vehicle. These signs warn the distracted driver, and prevent his/her actions which could lead to an accident. We have proposed a system which can help recognize these boards and signals at real time thus avoiding major mishap. A real-time automatic sign detection and recognition can help the driver, significantly increasing his/her safety. Lately traffic sign recognition has got an immense interest lately by large scale companies such as Google, Apple and Volkswagen etc. which is driven by the market needs for intelligent applications such as autonomous driving, driver assistance systems (ADAS), mobile mapping, Mobil eye, Apple, etc. Hence, here, we have implemented to do the same with cost efficient manner using Raspberry Pi. The proposed system detects the traffic board or traffic signals, capture its image which through deep learning approach recognizes the same to give result on dashboard as well it gives the measures of distance from front obstacle which helps to implement brake system if obstacle is near. PiCam is used to capture images of traffic sings and is connected to RaspberryPi. Monitor is used to display required output, showing type of sign and distance of collision. This proposal will avoid large number of accidents occurring at bridges and work in progress area due to automated braking system and simultaneous reduce death ratio.
Enhancement of Link Stability and Connectivity in Vehicular Ad hoc Networks
Authors: Et. al. Kishor N. Tayade, 
Published: April 2021

Vehicular Ad hoc Networks is a promising sub-group of MANET. VANET is deployed on the highways, where the vehicles are mobile nodes. Safety and intelligent transportation are important VANET applications that require appropriate communication among vehicles, in particular routing technology. VANETs generally inherit their common features from MANETs where vehicles operate in a collaborative and dispersed way for promoting contact among vehicles and with network infrastructure like the Road Side Units (RSU) for enhanced traffic experience. In view of the fast growth of Intelligent Transportation Systems (ITS), VANETs has attracted considerable interest in this decade. VANET suffer from a major problem of link failure due to dynamic mobility of vehicles. In this paper we proposed a position based routing algorithm to identify stable path, this will improve the routing by decreasing overhead and interrupting the number of links. Link Expiration Time (LET) is used to provide the stable link, the link with the longest LET is considered as the most stable link. The multicast Ad-hoc On-demand Distance Vector (MAODV) is proposed to avoid the link breakages by using a link with longest LET. Data loss is reduced by avoiding link breakages and enhance throughput by reducing the communication delay.
Viscous Dissipation and Suction characteristics of Heat and Mass Transfer past a Stretching Sheet.
Authors: Et. al. AlfunsaPrathiba, 
Published: April 2021

in this paper, we analyzed the effect of a suction and Soret number on heat and mass transfer Magneto Hydrodynamics (MHD) flow past an exponentially stretching sheet with the heat source/sink. Appropriate similarity transformations were employed to convert the governing partial differential equations to a set of highly non-linear ordinary differential equations, which was then solved numerically by Runga kutta sixth order method together with shooting technique. The Numerical results are obtained for the skin friction coefficient, Nusselt and Sherwood numbers for selected values of the governing parameters, such as the suction, magnetic field parameter , viscous dissipation parameter , heat generation parameter , Schmidt number , and the chemical reaction rate parameter . Besides, it is obtained that the concentration profile decreases with an increment of the Schmidt number. A comparison was made with a previous study available in the literature and we found that it is in a good agreement.
Analysis of M/G/1 Feedback Queue under Steady State When Catastrophes Occur
Authors: Et. al. S.Shanmugasundaram, 
Published: April 2021

In this paper we analyse the M/G/1 feedback queue under steady states conditionswhen catastrophe occur. The stationary probability of ‘n’ and zero customers sins the system are derived. The asymptotic behaviour of the model and the averages queues lengthare also obtained. The numerical example are provided to test the feasibility of the model.
A Journal on Cervical Cancer Prediction Using Artificial Neural Networks
Authors: Et. al. K.Deepa , 
Published: April 2021

Artificial neural networks (ANN) assume a significant part in numerous clinical imaging applications. Cervical cancer ranks the 4th dangerous women cancers in less developed countries due to insufficient trained staffs and medical procedures. The location of cervical malignancy cells utilizes ANN for characterizing the typical and unusual cells in the cervix wall of the uterus. Cervical malignancy location is exceptionally difficult on the grounds that this disease happens with no manifestations. The order between the typical,unusual and malignant cells produces exact outcomes than other manual screening techniques.The ANN utilizes a few models for a simple and precise identification of cervical cells. The main aim of artificial neural networks is to supply right information at a right time. Hence we implement artificial neural techniques with collected data Analysis,to improve the life of an individual and to decrease the death rate of the society respectively.
The Quest for Minority Rights in Federal Ethiopia: Legal Promise and Challenges
Authors: Et. al. Temesgen Thomas Halabo, 
Published: April 2021

Ethiopia has adopted ethnic-based federal system as a response to National Questions in the country during the reign of EPRDF regime. As this federal system is based on ethnicity, ethnic identity has become the key instrument regarding entitlement, representation and state organization. Now, the key to get access to the resources of the state is to acquire a separate ethnic identity and an ethnically defined administrative structure.
Based on the analytical literature review, the study has examined the challenges posed by ethnic-based federal system to protect the rights of minority groups and individuals residing within ethnically designated regional states. The federal system has created its own types of political challenges for the protections of the rights of non-indigenous minority groups. It is constraining rather than enlarging the political space for an overall citizenship. The idea of overarching citizenship that transcends ethnic identity is lacking in the federal system. The ethnic federal system also lacks mechanism for monitoring human rights at ethnically designated sub-state levels. The study, therefore, suggest reformulating the federal system, strictly respecting the principles of the federal constitution and revisiting regional state constitutions to avoid contradiction to the supreme federal constitution.
Hotel Selection Criteria Among Customers with Reference to Bangalore City
Authors: Et. al. Bharath Booshan M S, 
Published: April 2021

Hotel industry is considered to be one of the reputed industry in India. The study is to analyse the attitude of the respondents towards discounting offers and attractive package given by hotels and to find out the impact of Price complexity, discounting offers and attractive package towards selection of hotels. For this purpose a sample of 120 was collected from the respondents were percentage analysis, descriptive statistics, factor analysis, Kruskall wallis test, one way ANOVA and multiple regression were used as tools to analyse the data. The conclusion of the study is that price complexity has higher impact on price complexity than other variables taken for the study. It is also concluded that the quality of service has to be enhanced in future period of time based on packages designed and discounting factors.
An Enhanced Optimal Technique For Accurate Detection Of Color Face Images With Different Illuminations
Authors: Et. al. Ms. Meenakshi Shunmugam , 
Published: April 2021

Secured authentication system is one of the most challenging tasks focused now-a-days by many researchers and greatly achieved by means of face detection technique. Face image recognition is currently realized by Adaptive singular value decomposition in two-dimensional discrete Fourier domain (ASVDF). The recognition systems ability enhancement is attained for face images recognition by side light influence reduction on a color face image for inadequate light. The prevailing researches does not focuses the following points: No correct output during face recognition process, Face spoofing is not concentrated thereby face recognition may effect in imprecise result, Optimal feature extraction. Optimized Face Recognition System with Illumination and Rotation Consideration (OFRS-IRC) is one of the promising solutions for mitigating all those issues. Various methods are presented for ensuring accurate face recognition. Additive White Gaussian Noise removal technique is utilized for eliminating noise when the image is captured through sensor devices. Illuminate invariant features and locality preserving projection approach is exploited for segmented image recognition. As a final step, Fuzzy neural network is deployed for precise prediction on the basis of locality preserving projection approach results. MATLAB simulation tool is exploited for evaluating this research, where improved performance are attained by proposed method than prevailing methods. The proposed method shows 7.42% better detection rate than the existing work.
Connected and Total Vertex covering in Graphs
Authors: Et. al. Sathikala L, 
Published: April 2021

A Subset S of vertices of a Graph G is called a vertex cover if S includes at least one end point of every edge of the Graph. A Vertex cover S of G is a connected vertex cover if the induced subgraph of S is connected. The minimum cardinality of such a set is called the connected vertex covering number and it is denoted by . A Vertex cover S of G is a total vertex cover if the induced subgraph of S has no isolates. The minimum cardinality of such a set is called the total vertex covering number and it is denoted by .In this paper a few properties of connected vertex cover and total vertex covers are studied and specific values of and of some well-known graphs are evaluated.
Structures, Operations and their Applications to Topology
Authors: Et. al. Geetha Jeyalakshmi  R, 
Published: April 2021

A structure on a non empty set X is a collection of subsets of X. Any kind of topology on a non empty set X is a special structure on X. A filter and a filter base on X are examples of structures. Also any ideal of subsets of X is a structure. In this paper several structures are classified and the binary relations and operations on structures are discussed. Furthermore structures on a topological space are also discussed.
An Employment of Probabilistic Neural Network in Magnetic Resonance Imaging For Early Brain Cancer Detection
Authors: Sahym Seba Aziz 
Published: April 2021

Given the circumstances of the countries in which wars, political instability, and other uncertainties are passing that make the atmosphere impure, which have caused many diseases, one of these diseases that has spread widely is cancer. Cancer is a very common disease, and many of them affect a person and lead him or her to death. Among these diseases, which have been common in recent years specifically the brain tumors that they need early diagnosis and do not cause the death of the person. Furthermore, many studies in the field of brain cancer detection have been done, but the best solution is still missing. Therefore, in this paper, a reliable method is proposed to detect brain tumors, extract its properties, and classify the tumor using Magnetic Resonance Imaging (MRI) through the artificial neural network. In the proposed system, an essential part of image processing is the analysis and processing of digital images, especially to improve their quality, Bilateral Filter is used to improving image clarity and any image noise in this method preserves edges. After that, the distinctive properties of the image are extracted using the Histogram of Oriented Gradient (HOG) method. Thus, the extracted features are strong and can be classified as a Probabilistic Neural Network (PNN), this is what distinguishes our work from the previous works. The advantage obtained is granted to the PNN Classifier, which is used to train and test the accuracy of performance in perceiving the location of the tumour in MRI images of the brain accuracy as it resolves 99.5%.
Information and Communication Technology Integration on Human Rights Advocacy
Authors: Ashifa Dr.K.M. 
Published: April 2021

The inalienable human rights codifications form the basis of human progress. “The goal of this document is to resolve a current and significant problem regarding the convergence of human rights advocacy and the role of ICTs. It will promote efforts to advocate, educate and communicate with others, including media and political stakeholders within and outside the human rights world”[3]. The use of social media can consciously trigger the human rights movement and can also add to their outrage. Any public member or a human rights organisation sends the post, it is reasonably straightforward to explicitly concentrate public attention on social media. The present investigationtried to assess integration of online environment for human rights advocacy.
Competency-Based Learning: An Imperative Benchmark for Result Engendering Entrepreneurship Education
Authors: Kiradoo Dr. Giriraj 
Published: April 2021

Entrepreneurship is an essential element aiming to be part of this competitive world based on fostering economic growth, creativity, and innovation. The competency-based approach refers to mastering skills and abilities as per the internal will power instead of the external environment’s pace. The present review dealt with studies that focused on entrepreneurship education, competence-based entrepreneurship learning, and a model curriculum. The program should identify and assess trainees’ acquired competencies and develop a communication competency at the entrepreneurship training program’s initial phase. Additionally, the entrepreneurship training programs’ curriculum should develop the trainees’ skills and capabilities. It should also focus on the industry-specific areas leading to economic growth. Hence there is a need to create quality courses by forming a committee of experts from various industries. It concluded that entrepreneurship training programs should develop specific competencies that enable the start-up founders to run their business successfully. Finally, the research considered enhancing motivation and attributes among trainees’ entrepreneurial behaviour and increasing their satisfaction level.
Computational Intelligence based Clustering Algorithms for Wireless Sensor Networks: Trends and Possible Solutions
Authors: Mittal Nitin 
Published: April 2021

A wireless sensor network (WSN) is a state-of-the-art technology for radio communication. A WSN includes several sensors that are arbitrarily distributed in a particular region to detect and track physical characteristics that are hard for humans to observe, like temperature, humidity, and pressure. Because of the nature of WSNs, many issues may arise, including information routing, power consumption, clustering, and cluster head (CH) selection. Although there are still some difficulties in the WSN, owing to its versatility and robustness, it has gained considerable attention among scientists and technologists despite the shortcomings. Various protocols were designed to solve these problems. Low energy adaptive clustering hierarchy (LEACH) is one of the significant hierarchical protocols used to reduce energy consumption in WSNs. This article provides an extensive analysis of LEACH-variant clustering protocols for WSNs. Recent research on Machine Learning, Computational Intelligence, and WSNs has highlighted the optimized WSN clustering algorithms. However, the selection of a suitable paradigm for a clustering solution continues an issue owing to the diversity of WSN applications. In this paper, a comprehensive review of suggested optimized clustering alternatives has been conducted and a comparison of these optimized clustering methods has been suggested based on various performance parameters. The centralized clustering approaches based on the Swarm Intelligence paradigm are observed to be more suitable for the applications in which low energy is required, high information delivery rate, or elevated scalability than algorithms that are based on the other paradigms described.
A Comparative Analysison Metal Detection By Using TheConcept of Robotic System With Internet of Things
Authors: Gupta Jitendra 
Published: April 2021

In this paper we are able to communicate about the awesome today's association of innovation in our existence generates quite a few benefits and disadvantages. However, and to profoundly increase its high first-class affect, maximum technological understanding be conveyed to serve the humankind and society. Researchers can captivating in improvement of sturdy and co-operative robot system that successful of solving hard responsibilities barring any human manage. Steel or any kind of metal detector i.e. one of the robotic(s) system concepts because of its effective work as in assessment manualoperate and very slow common method(s). In the newsletter, 3 fundamental elements which are targeted 1) design a robot that's car-set up sensors that successful of incorporates the sensors of the metallic and impediment of the course; 2) manipulate the robotic device wirelessly by using a pc-primarily based to commanding the robot function by the use of pretty a few units of person’s tips and manipulate the robot pointers by using the usage of the technology of internet of things (iot); and 3) conduct an built-in machine that attaining navigated records by way of metallic detector primarily based on database of IoT. Additionally, noted a assessment of the preceding detector structures and features on numerous deserves. The proposed device a hit of entirely manage the robot gadget additionally.
An Analysis of Earning the Market Share Vs Buying the Market Share
Authors: Kanojia Sonika 
Published: April 2021

The current market is going through lot of changes. The companies in all the industries are making lot of exciting strategies to compete with each other and secure a big portion in the overall market share. The two primary strategies used by the companies to acquire the market share are buying the market share and earning the market share.
To observe the consumer behavior that which one of the aforementioned strategies affect the customers the most, we conducted an analysis by way of this research paper. An intensive literature review was done apart from going through the audited records of many companies to know about their marketing strategies. Best possible research methodology was used to accomplish the desired objectives. The study was conducted in Chandigarh University, Mohali (Punjab), which happens to be more like a Cosmopolitan. The required data was collected using a structured questionnaire; presented to the respondents post pretesting. The results showed that customer finds the steps used in the buying of market share to be very fascinating and attractive. Though, these strategies works well in short term but in the long term, it’s the Earning the market share strategy (that includes quality of the product and creation of Brand equity) which decides the customer’s tastes.