bluuebunny/crossref_metadata_2025_split huggingface dataset:
e#-open and *e-open sets via -open sets
Authors: Et. al. V. Amsaveni, 
Published: April 2021

The notion of -open sets in a topological space was studied by Velicko. Usha Parmeshwari et.al. and Indira et.al. introduced the concepts of b# and *b open sets respectively. Following this Ekici et. al. studied the notions of e-open and e-closed sets by mixing the closure, interior, -interior and -closure operators. In this paper some new sets namely e#-open and *e-open sets are defined and their relationship with other similar concetps in topological spaces will be investigated.
FTTCNF- Novel Approach for Fault Tolerant Topology Control in Manet
Authors: Et. al. Dr. D. Manohari, 
Published: April 2021

In wireless networks it is observed that as nodes move unpredictably sudden link disconnections occur during transmission. This leads to frequent path changes and multiple path discoveries which subsequently increase transmission of control packets in network. The nodes in the network simply rebroadcast the received route request (RREQ) packet if they do not have the route to the required destination. In addition to this, frequent hello messages for neighbour set construction and maintenance also increase control message count in the network causing a flooding issue. In order to mitigate these problems, the proposed Fault Tolerant Topology Control Neuro Fuzzy method (FTTCNF), incorporates measures to improve the network stability and to reduce the control packets in the network. These measure 1.reduce control message transmissions among neighbours by finding a stable path 2. neighbour node distance is computed based on the reception of a signal strength Indication (RSSI), 3. path stability is decided by the link expiry time (LET) which can be used to predict the neighbour mobility deviations. These factors, ( above mentioned distance, path stability factor PSF, and LET) are subjected to the fuzzification process to identify the fuzzy rule values and are given as input to the neuron formation stage. Final neuron value is computed for all available paths and the maximum value path is chosen for data transmission. Energy level monitoring is also applied at each node to check the node’s current energy and should it go below the energy threshold level the node by itself, joining the routing process is avoided. Simulation results have proved that the proposed method significantly reduces the routing overhead and improves the stability of path during data transmission.
Secure and Efficient Image Cryptography Technique using Choas and DNA Encoding Methodology
Authors: Et. al. Bahubali Akiwate, 
Published: April 2021

In this era of the digital world, handling digital data with a secure passion is more important. At the height of maximum interest with the attainment of the data confidentiality with the miniature information is the tedious and most challenging concern of the system with the data handling and operating in the real-time environment. With the latest data confidentiality security model, such as image encryption over the communication networks in the distributed data environment, advanced hacking efforts such as cropping attack, brute force, differential, mathematical, and many more need to be addressed. In terms of bit scrambling, the security function plays a vital role in the pixel-based approach with minimum pixels are followed in the current security model for a better correlation with the available pixels with the continued higher runtime complexity. In this research paper, along with the DNA encoding process, an efficient image cryptographic technique is shown with the reduced runtime complexity. The discussion in the article begins with the chaotic sequence EIIS (Efficient Image Information Scrambling) method. Progressed with the DNA (Deoxyribo Nucleic Acid) encoding is done with the data for resistance against different kinds of attacks by considering the suitable parameters from the existing security models.
An EPQ Model of Stock Dependent Demand Subject to Epidemic with Stochastic Lockdown Time
Authors: Et. al. Ruchi Sharma, 
Published: April 2021

The model created considers the effect of the epidemic on the classical Economic Production Quality (EPQ) model for a production unit exposed to stochastic lockdown time. Expected production time is evaluated utilizing continuous probability density function. The investigation is done to decide the ideal arrangement for the production system which limits the expected total cost per unit time exposed to certain conditions. Here EPQ model is created by taking lockdown time due to epidemic as stochastic. Machine breakdown affects the manufacturer but disaster like epidemic affects the manufacturer as well as the customer (or in other words, demand). During the production uptime, demand depend upon stock and decline in selling price, but in case of disaster (epidemic) selling price has no consideration and demand depends only on stock. The model is discussed by means of a numerical example and a case study.
Handwritten Text Recognition using Deep Learning and Word Beam Search
Authors: Et. al. Kavitha Ananth, 
Published: April 2021

This paper offers a solution to traditional handwriting recognition techniques using concepts of Deep learning and Word Beam Search. This paper explains about how an individual handwritten word is classified from the handwritten text by translating into a digital form. The digital form when trained with the Connectionist Temporal Classification (CTC) loss function, the output produced is a RNN. This is a matrix containing character probabilities for each time-step. The final text is mapped using a CTC decoding algorithm by converting the character probabilities. The recognized text is constructed by a list of words from the dictionary by using the token passing algorithm. It is found the running time of token passing depends on the size of dictionary. Also the numbers like arbitrary character strings will not able to decode. In this paper the decoding search algorithm word beam search is proposed, in order to tackle these types of problems. This methodology support to constrain words similar to those contained in a dictionary. It allows the character strings such as arbitrary non-word between the words, and integrates into a word-level language model. It is found the running time is better when compared with the token passing. The proposed algorithm comprises of the decoding algorithm named vanilla beam search and token passing using the IAM dataset and Bentham data set.
Analysis and Visualisation of Research Trends in Hydrogen Fuel: A General Review
Authors: Et. al. Jasgurpreet Singh Chouhan, 
Published: April 2021

Hydrogen fuel is one of the clean fuels that can replace non-renewable energy sources. Engineering innovations in extraction and distribution are the key challenges to this alternative fuel[1].The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Hydrogen fuel”[2], [3]. All published articles related to “Hydrogen fuel” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps.This article had set the objective to consolidate the scientific literature regarding the “Hydrogen fuel”and also to find out the trends related to the same.The most active journals in this research domain were identified as International Journal of Hydrogen Energyand Journal of Power Sources.The most active country was the United States of America. The leading organizations in this research domain were the Russian Academy of Sciences of Russia and Argonne National Laboratory of the United States of America.The most active authorswere Tomasov A.A and Jacobson M.Z.
Analysis and Visualisation of Research Trends in Tera Hertz Meta Material: A General Review
Authors: Chouhan Jasgurpreet Singh 
Published: April 2021

Terahertz Metamaterials are a type of Metamaterials, capable of interacting at terahertz (THz) frequencies. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Terahertz Metamaterials”. All published articles related to “Terahertz Metamaterials” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps.This article had set the objective to consolidate the scientific literature regarding the “Terahertz Metamaterials”and also to find out the trends related to the same.The most active journals in this research domain were Optics Express and Nature Nanotechnology. The most active countries were China, Greece, and the United States of America. The leading organizations were the Ministry of Education of China and Tianjin University of China.The most active authorswere Zhang X., Zhang W., and Averitt R.D.
A Bibliometric Analysis and Visualisation of Research Trends in Toxicity of Cobalt Implants
Authors: Singh Gurjit 
Published: April 2021

The toxicity of metals is a vital factor affecting the safety of implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “toxicity of Cobalt implants”. All published articles related to “toxicity of Cobalt implants” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the scientific literature regarding “toxicity of Cobalt implants” and also to find out the trends related to the same. The most active journal related to this research domain was the Journal of Bone and Joint Surgery. The most active country was the United States of America. The leading organization was Rush University Medical Center, United States of America. The most active authors were Hallab N. J and Jacobs J.J.
Enabling Intelligence through Deep Learning using IoT in a Classroom Environment based on a multimodal approach
Authors: Et. al. Lakshaga Jyothi M, 
Published: April 2021

Smart Classrooms are becoming very popular nowadays. The boom of recent technologies such as the Internet of Things, thanks to those technologies that are tremendously equipping every corner of a diverse set of fields. Every educational institution has set some benchmark on adopting these technologies in their daily lives. But due to some constraints and setbacks, these IoT technological embodiments in the educational sector is still in the premature stage. The major success of any technological evolution is based on its full-fledged implementation to fit the society in the broader concern. The breakthrough in recent years by Deep Learning principles as it outperforms traditional machine learning models to solve any tasks especially, Computer Vision and Natural language processing problems. A fusion of Computer Vision and Natural Language Processing as a new astonishing field that have shown its existence in the recent years. Using such mixtures with the IoT platforms is a challenging task and and has not reached the eyes of many researchers across the globe. Many researchers of the past have shown interest in designing an intelligent classroom on a different context. Hence to fill this gap, we have proposed an approach or a conceptual model through which Deep Learning architectures fused in the IoT systems results in an Intelligent Classroom via such hybrid systems. Apart from this, we have also discussed the major challenges, limitations as well as opportunities that can arise with Deep Learning-based IoT Solutions. In this paper, we have summarized the available applications of these technologies to suit our solution. Thus, this paper can be taken as a kickstart for our research to have a glimpse of the available papers for the success of our proposed approach.
A critical review based on Fault Tolerance in Software Defined Networks
Authors: Shailly Ms. 
Published: April 2021

SDN (Software-Defined Networks) is an incipient architecture of decoupling control plane and data plane involved in dynamic management of network. SDN is being installed in production based networks which ultimately lead to the need of secure and fault tolerant SDN. In the present investigation, we are discussing about the kind of failures with label happen in SDN. A critical survey based on the recently proposed mechanisms for handling failures in SDN. Initially, we discussed with the help of tabular data involving mechanism of data plane failure. We also discussed the various mechanisms for handling misconfiguration of drift able of switches and control plane failure handling mechanisms. We also epitomize issues with both data and control plane mechanism that are discussed earlier. In the end, we are stating that there is need of build much efficient and secure mechanism for SDN networks.
Fuzzy Based Stable Maintainability Metric for Software Projects
Authors: Et. al. Surender Singh, 
Published: April 2021

To make software better in view of its maintainability, its software development process must be controlled and continuously observed. Researchers and software managers have stressed on the early measurement of maintainability starting from design phase itself so that timely steps could be taken for producing maintainable software. This paper evaluates and compares several methodologies for improving the numerical stability of a fuzzy-logic-based maintainability metrics system. Fuzzy parameters are adjusted using heuristic methods. A number of alternates were considered, in which training data sets were generated using different methods and these sets were used to evaluate objective functions in GA and accordingly fuzzy parameters were tuned. After conditioning, real projects’ maintainability data is used to show that fuzzy model performance is increased, however marginally, after conditioning
Smart Pet Feeder System and Big Data Processing to Predict Pet Food Shortage
Authors: Et.al M.K Razali 
Published: April 2021

Focusing on pet owners who have tight daily schedule or physically disabled, this project proposed a smart pet feeder system with big data processing to predict pet’s food shortage. The project aims to help pet owners to regularly feed a correct amount of food to their pet as well as to predict the pet’s food shortage. The components used in this system are hx711 load cell amplifier, ultrasonic sensor, infrared sensor and servo motor. The ultrasonic sensor and the servo motor will be connected to adafruit, an internet of things (IoT) platform which provide online dashboard to allow pet owners to retrieve data from the sensors as well as to monitor the system activities. The online dashboard will also be connected to ifttt maker, another IoT platform to enable notifications via telegram. Pet owner will be notified via telegram every time the food is dispensed from the pet feeder system and if the pet food level is low. The system will dispense pet food automatically either at pre-set time or when pet comes near the pet feeder. More, the system can also collect data of pet food level to be used for time-series prediction on food shortage. Time-series prediction will use parallel processing method in handling big data for data pre-processing.
Librarians Skills and Competencies for Scholarly Communication and Repository Management in Nigeria
Authors: Et.al Usman Ahmed Adam 
Published: April 2021

The rapid change in scholarly communication and knowledge management has transformed the repository services and imposed new skills and competencies for repository management. This study is posed to assess the skills and competencies of librarians for repository management and scholarly communication in academic institutions in Nigeria. The study adopted a survey research design to assess the skills and competencies of the librarians using NASIG “Core Competencies for Scholarly Communication Librarians 2017”. The sample size of the study comprises 120 librarians across 40 institutions. The findings of the study indicate among others that; 74 % of the librarians have a general understanding of repository platforms, 54.17% background knowledge of open access movement, and 58% experience in advocacy for open access. At the same time, 83.3% of the librarians can capture, store, and preserve the research output. While 62.3% understand research impact, only 35.8% understand emerging alternatives measures of the impact. Although, 73.1 % understand Data description and storage, only 20.8% understand text and data mining. The study concluded that awareness, skills, and competencies of the librarians is increasing and recommends among others; setting up a framework for the employment of repository and scholarly communication librarians and training on repository management and scholarly communication.
The Effect of Corporate Social Responsibility and Intellectual Capital on Business Performance of the Sharia Banks in Indonesia
Authors: Et.al Erly Mulyani 
Published: April 2021

The objective of this study is to evaluate and analyze 1) the effect of corporate social responsibility on the business performance of Islamic banks in Indonesia, 2) the effect of intellectual capital on the business performance of Islamic banks in Indonesia and 3) the mutual effects of the corporate social responsibility and the intellectual capital on the business performance of Islamic banks in Indonesia. The research type of this study was causative research. Data used in this study was secondary data. The object of this research was the report on the corporate social responsibility and the annual financial statements of Islamic banks in Indonesia during the 2009 to 2017 period. In testing the hypothesis, the technique of in data analysis was the multiple regression analysis by means of the SPSS software. The results showed that the intellectual capital (Value Added Intellectual Coefficient) had a positive and significant effect on the bank performance (Return on Assets) of Islamic banks. The corporate social responsibility had a negative and insignificant effect on bank performance (Return on Assets) of Islamic banks. The corporate social responsibility and intellectual capital mutually and significantly affect the business performance of Islamic banks in Indonesia.
Application of Artificial Intelligence in detection of diseases in plants: A Survey
Authors: Et.al Gyan Singh Sujawat 
Published: April 2021

The agriculture sector can be considered as the backbone for any developing economy. To obtain the maximum yield from the crops, it is required that farmers should be provided with the best technologies and methodologies. Artificial intelligence is having its vast applications in various sectors. Due to its ability to perceive the problems, developing the appropriate reasons for that and to establish optimal solutions for it, artificial intelligence can act as a great aid in addressing the diseases of crops. The paper presents a brief overview of the application of artificial intelligence in agriculture, its available techniques for agriculture and highlights the various methods available for the detection of diseases in crops
A New Phase of Women in Rama Mehta’s: Inside the Haveli and The Western Educated Hindu Women
Authors: Et.al Afsana Bano 
Published: April 2021

This particular work reveals the voyage of Geeta in the cross-cultural context and also the perception of society towards a daughter-in-law with reference to both the works of Rama Mehta. The concepts like child marriage and education are focused here, while influencing the life of the protagonist directly or indirectly. She expresses the psychological and emotional struggle of a woman’s search for self identity. In this work I have tried to introduce a new phase of feminism with the works of Rama Mehta and proved that modern women are not dominated and subordinated by any force of society, as she possess the power to take her own decision and can stand on their own capabilities. Now the women are empowered and independent
Existential, Relatedness, Growth (ERG) needs’ dimensions of medical students for rural posting – An analytical study
Authors: Shanmugapriya J. 
Published: April 2021

The retention of rural doctors in India is a very big challenge. Despite the mandatory rural postings, year by year rural health statistics indicate an abysmal picture of rural doctors' vacancies and their shortfalls in many states. Various studies stipulate that rural doctors are quitting rural postings. A reliable instrument to identify the motivational needs of doctors towards their rural postings, suitable to the Indian context, which is vital for both policymakers and doctors alike. So, this study aims to acquire the reliability of the Existential, relatedness, and Growth needs of Doctors’ questionnaire and to obtain the dimensions of needs as an initial attempt. An ERG motivational need questionnaire was developed to explain the needs of medical graduates and rurally placed physicians in Indian context. A literature search and pilot study with 64 medical students conducted and relevant items were extracted. This study was conducted in Jaipur, Chennai, and Pondicherry. The reduction of items was done through principal component analysis in SPSS. Cronbach Alpha coefficient is considered to measure for internal consistency reliability of the instrument. The instrument is developed with three constructs namely Existential needs (EN), Relatedness Needs (RN), and Growth Needs (GN) with a 5-point Likert scale. The exploratory factor analysis after three rotations converged to 9 factors with 74.103 total variance and 0.606 Kaiser-Meyer- Olkin index indicating sampling adequacy. The initial scale items (with 58 Items) were reduced to 9 factors with 28 items in the final questionnaire. Overall scale is with Cronbach alpha value of 0.851 for these items. The result obtained has proven that the extracted 9 factors have good reliability to obtain the dimensions of Existential, relatedness, and growth needs. The study results have implications in addressing the problem of Rural doctors’ shortage.
Acknowledging Diversity: Need of Hour in Education
Authors: Yadav Neha 
Published: April 2021

Diversity entails differences among individuals in terms of their religion, caste, language, region, culture, traditions, customs, etc. India being a pluralistic society these differences are evident amongst learners in classrooms as well. The need of the hour is to acknowledge this diversity amongst learners in our classrooms and appreciate the heterogeneous pool present in our classrooms. This would help to make the instruction specific to the individual needs of the students resulting in a boost to the educational outcomes of the students concerned