bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Genre Categorization of Emails into predefined categories using machine learning
Authors: Et. al. Vinod Kumar Bhalla,
Published: April 2021

In today’s dynamic world, there is a need for fast, efficient, and reliable means of communication. To meet these requirements email system was developed and it got popular with the invention of WWW. Now, the Email system has been used extensively for official, business, and personal communication. On average individual users receive 50-60 mails each day. It is becoming a burden to easily manage emails. So there is a need for effective and reliable means to organize the mails for easy and fast retrieval. An efficient approach is proposed in this paper to classify the mails based on the predefined genres. It has been observed in the proposed research that the classification of emails greatly improves efficiency and saves time and effort to manage them. The results obtained in this paper are very encouraging. Over 90 % of emails are categorized correctly. Email genres are predefined and corresponding keyword lists are generated. Frequency tf-idf of the keywords in the email decides the genre of mail. SVM is used as a multiclass classifier. In this paper need for negative training data has been removed as the proposed classifier works on the principle of one class against the rest.
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.
Different forms of Euler’s theorem forhomogeneous functions to solve partial differential equation
Authors: Et. al. Amit Kumar,
Published: April 2021

In this paper we will discuss Euler’s theorem for homogenous functions to solve different order partial differential equations. We will see that how we can predict the solution of partial differential Equation using different approaches of this theorem. In fact we also consider the case when more than two independent variables will be involved in the partial differential equation whenever dependent functions will be homogenous functions. We will throw a light on one method called Ajayous rules to predict the solution of homogenous partial differential equation.
Selected Extensions on Eneström-kakeya Theorem
Authors: Et. al. R. K. Pavan Kumar,
Published: April 2021

The theorem of Eneström-Kakeya is important within the hypothesis of dissemination of zeros ofpolynomials. In the literature, it can be found so many extensions on Eneström-Kakeya theorem by giving various relations between the coefficients of polynomial like increasing, decreasing, irregular order etc.This paper mainly deals with some extensions on the Abdul Aziz and B AZargar theorembygiving some relaxations to the hypothesis that the coefficients are real, positive and alternative coefficients must be in increasing order.
Headcount of the Crowd in a Congested Scene
Authors: Et. al. Mayur Nair,
Published: April 2021

Crowd Counting and estimation of density is really challenging and an important problem if we visually analyze the crowd. Crowd Monitoring and Analyzing Crowd behavior has been an important aspect for every research field. A lot of already existing approaches use techniques based on regression on heat maps(density) to count people present in from a single frame. These techniques however cannot restrain an individual walking and further cannot approximate the original distribution of pedestrian in the locality. Whereas, detection-based techniques detect and restrain walking men’s in the frame, but the efficiency of these techniques challenged when implemented in high-density crowd situations. To get the better of the limitations of above-mentioned problem, we have used the (Congested Scene Recognition) Neural Network. By using this type of Neural network, we are able to visualize the detection and form density map according to produce accurate outputs for the given scene. The experimental outcomes of the successfully showcases the effectiveness of the approach used.
An Overviuw Of The Teaching And Learning Process Basic Programming In Algorithm And Programming Courses
Authors: Et. al. Wilda Susanti,
Published: April 2021

In this paper, we review the literature related to computer programming learning, where Algorithms and Programming are the topic domains of the Informatics and Computer science clusters. There are 4 competencies in learning outcomes, such as: 1) understand algorithmic concepts; 2) master algorithm concepts and principles; 3) master programming language concepts; and 4) master programming languages and algorithms. The main focus of this review is on beginner programming and topics related to student difficulties in learning programming. Various problems experienced by beginners were identified from the literature to some of the solutions offered by researchers.
A Detailed Review On Medical Image Compression
Authors: Verma Amit
Published: April 2021

The current article is a scientometric analysis of the research articles on the topic “Medical Image Compression”. Scopus and WoS databases have been used for downloading the papers related to the above discussed topic. PRISMA guideline have been used for the selection of the articles. A total 884 articles have been downloaded and 397 have been selected and analyzed with VOS viewer.
Design and optimized analysis of high speed precise machine tool spindles
Authors: Et. al. Jeevan Raju B,
Published: April 2021

Upcoming machine tools need to be extremely efficient systems to maintain the needed intellectual performance and stability. The spindle tool system is necessary to optimize which enhances the rigidity of the spindle and in turn produces the cutting stability with higher productivity. Prediction of the dynamic behavior at spindle tool tip is therefore an important criterion for assessing the machining stability of a machine tool at design stage. In this work, a realistic dynamic high-speed spindle /milling tool holder/ tool system model is elaborated on the basis of rotor dynamics predictions. The integrated spindle tool system in analyzed with the Timoshenko beam theory by including the effects of shear and rotary deformation effects. Using the frequency response at the tool tip the corresponding stability lobe diagrams are plotted for the vertical end mill system. Furthermore an optimization study is carried out at design stage for the bearing system and the rotor positions for maximizing the chatter vibration free cutting operation at the desired depth of cuts with precise rotational speeds.It is markedly found that the first mode of vibration had a large impact on the dynamic stability of the system. The parametric studies are conducted such as tool overhang and bearing span and the influence of these on the system dynamics are identified and the corresponding stability lobe diagrams are plotted. It is evidently found that the second mode of the frequency response has critically affected the bearing span and competing lobes are identified. These results are assisted to design a spindle bearing system at the desired machining conditions. A neural network based observer is designed based on the simulation resultsto predict optimum design parameter values.
Expert Information Prediction Modeling In Pcap Files
Authors: Et. al. S. Leelalakshmi,
Published: April 2021

The cyber security field has more challenges and analysing pcap files for identifying the network traces provides important details. The web traffic consists of different types of transfer. Some data can be malicious and it can fall into different categories. Analysing and extracting features and applyying machine learning algorithms can prove to be more useful for indentifying the network information. Todays’ big data environment provides more way to security threats.
Chitosan withPVC Polymer for Biomedical Applications: A Bibliometric Analysis
Authors: Ranjan Nishant
Published: April 2021

Chitosan (CS) is a natural and biopolymer that are suitable biomedical properties such as; biocompatibility, non-toxicity, biodegradability and bioactive polymer that’s reason with a very large application (fabrication of biomedical scaffolds, implants). Some of the biocompatible thermoplastic polymers (PLA, PEEK,PLGA, PE, PP, PMMA, PET and etc.) are most widely used in biomedical field as per their properties from last two decades. Poly-vinyl chloride (PVC) thermoplastic polymer are most widely used in medical field but there are some limitations of their uses. For enhancement of PVC thermoplastic polymers properties sometimes add some bioactive and biocompatible fillers or other bioactive thermoplastic polymers. In this review paper try to link and discussed about the possible reinforcement CS in PVC thermoplastic polymer for biomedical applications.
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.
Optimization Of Queueing Model
Authors: Et. al. Dr. Navneet Kumar Verma,
Published: April 2021

in thepaper, we are considering the single server queueing system have interdependent arrival of the service processes having bulk service.In this article, we consider that the customers are served  at any instance except when less then  are in the system &ready to provide service at which time customers are served.
Exact solutions of (1+1)-Dimensional Kaup-Kupershmidt equation
Authors: Et. al. Anjali Verma,
Published: April 2021

In this paper, we have obtained new analytical solutions of Kaup-Kupershmidt equation by using one method. We conclude that One method present a wider applicability for managing nonlinear partial differential equation. The solutions obtained in this paper are new.
Travelling Wave solutions of hyperbolic Telegraph equation by Tanh method
Authors: Et. al. Anjali Verma,
Published: April 2021

Tanh method is utilized to find travelling solutions of second order nonlinear Telegraph equation. As a result, we attain dissimilar travelling wave solutions. Our aim is to show that this method is most efficient and convenient approach for verdict travelling wave solutions of nonlinear differential equations. For calculation the software MAPLE is used.
Soft Computing approach to enhance the Performance of AODV (Ad-hoc On-Demand Distance Vector) Routing Protocol using Active Route TimeOut (ART) Parameter in MANETs
Authors: Et. al. Bonu Satish Kumar ,
Published: April 2021

While its advancement inside MANETs, the AODV routing protocol convention has been and stays a powerful and gainful examination protocol, with association with its course Active Route Timeout (ART), AODV utilizes a predictable worth that demonstrates the time and the course which may stay dynamic in the directing table. A long period of the course might be chosen powerfully, dependably through the estimation, as opposed to reliable worth. For this reason, a Fuzzy rationale framework is utilized to procure the versatile qualities for ART dependent on the transmitter conditions and interceding hubs.As indicated by the pre-essentials of the International Engineering Task Force (IETF), we shouldn't be taking stil qualities in the powerful atmosphere. Subsequently, ART's tweaking of turncoat esteems is accomplished by applies fluffy principles on the info factors hop-count, Sent Control Packet, and Nodes Number. AODV convention yield is assessed after the utilization of Fuzzy based methodology. The proficiency of AODV and FBARTAODV Routing Protocols for Mobile Ad Hoc Networks will be examined with results. In this paper we give outcome show so as to the FBARTAODV perform enhanced compared to the in progress AODV.
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.
Motor-Imagery EEG Signals Classificationusing SVM, MLP and LDA Classifiers
Authors: Narayan Yogendra
Published: April 2021

Electroencephalogram (EEG)signals based brain-computer interfacing (BCI) is the current technology trends in the field of rehabilitation robotic. This study compared the performance of support vector machine (SVM), linear discriminant analysis (LDA) and multi-layer perceptron (MLP) classifier with the combination of eight different features as a feature vector. EEG data were acquired from 20 healthy human subjects with predefined protocols. After the EEG signals acquisition, it was pre-processed followed by feature extraction and classification by using SVM MLP and LDA classifiers. The results exhibited that the SVM method was the best approach with 98.8% classification accuracy followed by MLP classifier. Finally, the SVM classifier and Arduino Mega controller was employed for offline controlling of the gripper of the robotic arm prototype. The finding of this study may be useful for online controlling as well as multi-degree of freedom with multi-class EEG dataset.
A Bibliometric Analysis and Visualisation of Research Trends in Surface Modification of knee Implants
Authors: Singh Bhupinder
Published: April 2021

Several metals are used for Knee implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Surface modification of knee implants”. All published articles related to “Surface modification of knee 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 “Surface modification of knee implants”.” and also to find out the trends related to the same. The most active journals in this research domain were Journal of Arthroplasty and Journal of Bone and Joint Surgery. The most active country was the United States of America. The leading organization engaged in research regarding surface modification of knee implants was the Hospital for Special Surgery of the United States of America. The most active authors were Wright T.M. and Jacobs J.J.
A Bibliometric Analysis and Visualisation of Research Trends in Orthopaedic Implants
Authors: Singh Bhupinder
Published: April 2021

Several metals are used for orthopaedic implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “orthopaedic implants”. All published articles related to “orthopaedic 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 “orthopaedic implants” and also to find out the trends related to the same. The most active journals in this research domain were the Biomaterials. The most active country was the United States of America. The leading organization engaged in research regarding Orthopaedic implants was the IRCCS Rizzoli Orthopaedic Institute, Bologna of Italy. The most active authors who had made valuable contributions related to dental implants were Arciola C.R and Webster T.J.
A Bibliometric Analysis and Visualisation of Research Trends in Nickel-Based Orthopaedic Implants
Authors: Thind Gurpreet
Published: April 2021

Nickel is one of the widely used metal for orthopaedic implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Nickel-based orthopaedic implants”. All published articles related to “Nickel-based orthopaedic 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 “Nickel-based orthopaedic implants” and also to find out the trends related to the same. The most active journals in this research domain were the Journal of Orthopaedic Research and Biomaterials. The most active country was the United States of America. The leading organization engaged in research regarding knee implants was the City University of Hong Kong. The most active authors who had made valuable contributions related to orthopaedic implants were Chu. P.K.
A Bibliometric Analysis and Visualisation of Research Trends in Corrosion of Cobalt-Implants
Authors: Gill Harjot Singh
Published: April 2021

Cobalt is one of the most used metals for implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Corrosion of Cobalt-implants”. All published articles related to “Corrosion 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 “Corrosion of Cobalt-implants” and also to find out the trends related to the same. The most active journal in this research domain was the Journal of Biomedical Materials Research. The most active country was the United States of America. The leading organization engaged in the research regarding corrosion of Cobalt-implants was the Rush University Medical Center, USA. The most active authors who had made valuable contributions related to Cobalt implants were Hart A.J and Joseph J. J
A Bibliometric Analysis and Visualisation of Research Trends in Allergy of knee Implants
Authors: Chauhan Jasgurpreet Singh
Published: April 2021

Several metals are used for Knee implants. The allergy of metals used for knee implants is an important issue to be addressed. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Allergy of knee implants”. All published articles related to “Allergy of knee 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 “Allergy of knee implants” and also to find out the trends related to the same. The most active journals in this research domain were the Contact Dermatitis. The most active countries were Germany and Italy. The leading organization engaged in research regarding knee implants was the Ludwig Maximilian University of Germany. The most active authors were Thomas P.; Arkansan J.N, and Drancourt M.
A Bibliometric Analysis and Visualisation of Research Trends in Health Issues of Nickel-Implants
Authors: Ranjan Nishant
Published: April 2021

Nickel toxicity is one of the major challenges of Nickel-based implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Health issues of Nickel-implants”. All published articles related to “Health Issues of Nickel-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 “Health Issues of Nickel-implants” and also to find out the trends related to the same. The most active journal in this research domain was the Journal of Biomedical Materials Research. The most active country was the United States of America. The leading organization engaged in the research regarding allergy of Nickel-implants was the Rush University Medical Center of United States of America. The most active authors who had made valuable contributions related to the toxicity of Nickel implants were Hallab N.J and Savarino I
A Bibliometric Analysis and Visualisation of Research Trends in Toxicity of Hip-implants
Authors: Singh Ripendeep
Published: April 2021

Hip implants are common and diversified types of metals are used for hip implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Toxicity of hip-implants”. All published articles related to “Toxicity of hip-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 hip-implants” and also to find out the trends related to the same. The most active journals in this research domain were the Journal of Bone and Joint Surgery. The most active country was the United States of America. The leading organization engaged in the research regarding the toxicity of hip-implants were the Rush University Medical Center of United States of America and the University of Strathclyde of Scotland. The most active authors who had made valuable contributions related to the toxicity of Hip implants were Grant M.H, Jacobs J.J, Catalani S, and Apostoli P.
A Bibliometric Analysis and Visualisation of Research Trends in Cobalt-Based Orthopaedic Implants
Authors: Singh Sandeep
Published: April 2021

Cobalt is one of the widely used metal for orthopaedic implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Cobalt-based orthopaedic implants”. All published articles related to “Cobalt-based orthopaedic 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 “Cobalt-based orthopaedic implants” and also to find out the trends related to the same. The most active journals in this research domain were the Journal of Orthopaedic Research. The most active country was the United States of America. The leading organization engaged in research regarding Cobalt-based orthopaedic implants was the Rush University Medical Center, United States of America. The most active authors were Hallab N.J.
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.
Sun Pharmaceutical Industries Ltd: A Study of Financial Movement during Pandemic Times
Authors: Tripathi Dr. Abhishek
Published: April 2021

Sun Pharmaceutical Industries Ltd is the Indian MNC based in Mumbai with largest market capitalization amongst the Indian Pharma companies. The study focuses on the study of the various parameters of financial performance and risk measurement of Sun Pharmaceuticals Industries Ltd during the challenging time of Covid era. The financial variability of return using the Value at Risk concept based on the historical movement of the daily return has been analyzed to understand the trend of the risk related to the variability in return. Also, the trend analysis has been used to analyze the movement of various fundamental financial parameters like Net Income, Operating Income Margin, Net Income Margin
International Soft Law: A Review on Paris Agreement
Authors: Ado Mulko Asaad
Published: April 2021

Paris agreement, despite its many aspects and mixture of hard, soft, and non-obligations that are distinct and contain importance and vitality, however, they are not fully clarified in terms of their boundaries. There are various discussions and debates upon the agreements’ success or failure. Additionally, drives behind political parties, further motivation for more compliance with the agreement and to encourage major actors for higher response levels against climate change as it is “the most difficult and complex collective action problem of the world”. In this article, challenges to the agreement are noted and possible approaches towards a better future for application and compliance with the agreement are presented. For this purpose, categories of law are looked into in regard to Paris agreement and a number of aspects are highlighted. The interrelation link that exist among these obligations regardless of their forms is explored through the context of Paris agreement and its critical importance is emphasized. Our doctrine approach compares and investigates most recent and relevant studies upon the matter at hand and endeavors to create a better understanding on the importance of Paris agreement
Future Agenda of Iraqi Social-Business Ethics through Corporate Social Responsibility: The Post-War Era
Authors: Ado Mulko Asaad
Published: April 2021

After Defeat of ISIS in Iraq and Syria, there is no major threat of peace in Iraq. Hence, it is time to reconcile the relations and restore the unity through decent policy making concerning better well-being for all Iraqi people. Appropriate business ethics based on pivotal social factors could generate proactive commercial environment in Iraq, which is the key to improve the quality of stakeholders' lives. Firms should develop their strategic corporate social responsibility practices aligned with global trends in order to create optimized values for the stakeholders. It is time for Iraq to create an ethical market for equality and unity in the path of globalization. This study tends to look deeply into this matter and create a better understanding of the subject for better future of Iraqi business laws and its development in practice. Observation and in-person conversations have been conducted in addition to reviewing the literature to understand and answer the questions of the topic at hand. This research investigates the extent of which CSR is implied within the body of Iraqi system and addresses local firms in regard to their willingness and function. Current state of the issue is investigated and possible approaches towards future implementations are provided for managerial benefits
Adopting and Imlementation of International Finacial Reporting Standard In Iraq Atheoretical Perspective
Authors: Et. al. Nawzad Majeed Hamawandy,
Published: April 2021

Proper adoption of International Financial Reporting Standard (IFRS) has been inextricably linked to global financial market penetration and economic development. Yet most of the developing countries still face some challenges in its adoption. Various studies have examined the benefits and challenges of IFRS adoption.

The organization and culture, resistance to change, knowledge of IFRS and government policy has dominated the discourse on the challenges of IFRS adoption in developing countries. As we consider the shift in discourse towards the developing countries, this paper explore the empirical analysis studies that analyzing the challenges hindering the proper adoption of IFRS, and its implication for financial market development and economic growth. This paper develops the main issues that pose a challenge to IFRS adoption in developing country like Iraq by reviewing the existing empirical evidence in the literature
The Impact of Employee Empowerment on Intellectual Capital and Organizational Citizenship Behavior: Moderating role of Demographic
Authors: Et. al. Nawzad Majeed Hamawandy,
Published: April 2021

In recently, human resources management measured as the most worth able resource has been the center of approaches, activities and it plays an important role in promoting the objectives and goals of the organization. In fact the financial paradigms do not meet the requirements and expectations of the organization, it has led organizations to seek other paths to achieve competitive advantages. In this study, the growth of intellectual capital and organizational citizenship behavior can be taking new approaches in to account field. Practices for development going beyond the role of recognized expectations needs vital infrastructures. Therefore, empowerment is an important element to plays positive role to describing about social exchange of organizational citizenship behavior. Alternatively, in the economy of knowledge-based, the intellectual capital is the creating knowledge and sharing to enhance enterprise values. The study based on descriptive analysis and it examine the relationship between employee’s empowerment, intellectual capital and organizational citizenship behavior. To the theoretical data collection and to extract initial factors and indicators, library and Internet resources were used and questionnaire was used to gather the data needed to evaluate the assumptions. In this research, random method sampling has been used and Pearson's correlation coefficient was used to analysis data. The findings of study state that a positive and significant relationship occurs between dimensions of employee’s empowerment with growth of Intellectual capital and organizational citizenship behavior. On the other hand, becoming more empowered, employees` growth of intellectual capital has increased and the organization will enjoy more progressive staff
A Hybrid Encryption Model with Attribute Based Encryption and Advanced Encryption Standard Techniques
Authors: Et. al. Jaichandran R,
Published: April 2021

The emergence of cloud computing has completely changed the information technology sector, storage of information’s and access control. The main challenge in the migration of enterprises is the security to gain data owners confidence. In existing approach, many digital signatures based methodologies are used. In the existing approach, encryption time, security, encryption complexity are the parameters which need more focus. To overcome the existing issue, in this paper we proposed an hybrid architecture invoking attribute based encryption (ABE) for encrypting the key and advanced encryption standard (AES) for file encryption. Thus the proposed methodology provides security, confidentiality and optimizing storage and encryption cost
A Noval Method for Detecting Plant Leaf Disease Using Image Processing and Deep Learning
Authors: Et. al. M.Sowmiya,
Published: April 2021

The venture presents a programmed approach for early illness and nourishment insufficiency identification in plant leaf. A great many dollars are being spent to shield the harvests every year. Creepy crawlies, sustenance lack, plant illness and vermin harm the harvests and, in this way, are hazardous for the general development of the yield. One strategy to ensure the harvest is early illness identification and nourishment lack so the yield can be secured. The most ideal approach to think about the soundness of the yield is the convenient assessment of the harvest. On the off chance that sickness or sustenance inadequacy are identified, fitting measures can be taken to shield the harvest from a major creation misfortune toward the end. Early recognition would be useful for limiting the use of the pesticides and would give direction to the determination of the pesticides. It has become a wide territory for research now a days and a great deal of examination has been completed worldwide for programmed location of illnesses. Conventional technique for assessment of the fields is unaided eye assessment however it is exceptionally hard to have a point by point assessment in enormous fields. To inspect the entire field, numerous human specialists are required which is over the top expensive and tedious. Thus a programmed framework is required which can inspect the harvests to distinguish invasion as well as can characterize the kind of sickness on crops. PC vision procedures give viable approaches to breaking down the pictures of leaves. CNN is utilized for order of pictures with and without ailment dependent on the picture highlights. This procedure is less difficult when contrasted with the other mechanized strategies and gives better outcomes
Detecting Phishing Attacks using NLP
Authors: Et. al. Mr.T.H.Feiroz Khan,
Published: April 2021

In present world phishing attacks are the most common and easily targeted attacks. In order to analyse texts and detect improper statements that show the phishing attacks, we have come with an idea which will use (NLP) Natural language processing techniques. Compared to previous work, our approach is different because the emphasis is on the text data found in the attack, which is semanticized in order to identify malicious intent. We have evaluated it using a huge phishing e-mail test data to illustrate the efficacy of our strategy.
Parking Slot Reservation System for Efficient Resource Utilization and Profit
Authors: Et. al. Kanaga Suba Raja.S ,
Published: April 2021

Theparkingspacesavailableindaily moving lifestyle is not considered for parking. This problem causes many people to park their vehicles road side and results traffic violations and many accidents in major cities. These can be avoided when people can find the available parking spaces and reserve them to park their vehicles before reaching to that specific area. The main idea is based on mobile applications where the client and the vendor uses mobile applications for their purposes. The client can viewavailableparkingareasintheirdestination and can book them in advance before reaching them. The vendor application can be used by the parking lot owners to authenticate the incoming vehicles and allocate slots for both the client booked with application and naive users coming without using client application. The main algorithms used provides profit to both the users and the parking lot owners and best slot allocation algorithm. By this way many unused and distance parking lots can be utilisedinordertoreducetheroadsideparkings
Smart Augmented Learning
Authors: Et. al. Shanthini.E ,
Published: April 2021

Education is the foundation of our society. The most important investment we can make collectively and individually is in education. Rural education is of utmost importance to enhance and develop the livelihood of rural people indirectly. But the face of education in rural parts of the country has to be considered for a serious check-up with children failing to receive a good quality of education. This is one of the reasons to drivestudents away from attending their schools. The education system in rural areas is information based rather than a practical oriented, which is a major setback for the economic growth of the nation. The prominent crises that hold back rural schools are the lack of smart learning technology and no proper access to laboratory equipment for the students. Augmented Reality (AR) is one of the finest technologies that can be utilized for education development as it amplifies the learning process.Marker-based AR android application can help by over-laying audio-visuals, computer graphics, 3-D graphical models’ representation, the contextual information of concept’s procedures, processes, working, functions and its usage directly over the manuals which make the subject more understandable and comprehensive, thus enhances the student’s knowledge. The utilization of AR technology in the field of education will prove to be a great positive societal impact essentially for rural school students. It sets a path for learning all the concepts smartly and efficiently. AR-based learning can create an impact because there is no need for the internet. The mobile application also helps to improve the student’s self-learning skills. In this paper, some concepts from biology and physics are considered, the graphical models, functionality and working are displayed in AR with the help of Maya 3D, Unity 3D.
Data Transmission with Improving Lifetime of Cluster Network
Authors: Et. al. Anitha S,
Published: April 2021

The efficiency of selecting the cluster head plays a major role in resolving the complexities faced in network management aiming to improve the longevity of sensors in the network. The clustering process is followed by selecting proper cluster heads with the consideration of energy conservation among participant nodes. While coming to security concept on WSN, the trust based cluster head selection is significant with the assumption of cooperation of all sensor nodes. In view of this assumption, the traditional methods could not help in defining the ideal cluster head of the network. This work proposes Voronoi Clustered Secure Contextual Cryptographic Algorithm (VC-SCCA) by combining Voronoi method for clustering process and cryptographic algorithm for secure data transmission. This is considered as two-tier architecture whereas, clustering takes place in first tier and encryption along with decryption takes place in the second tier. The proposed algorithm is compared with two state-of-art methods such as, Secured WSN (SeC‐WSN) and Taylor based Cat Salp Swarm Algorithm (Taylor C-SSA) in terms of energy consumption, Packet Delivery Ratio (PDR), network lifetime, encryption time and decryption time. As a result, the proposed VC-SCCA achieves 53.2% of energy consumption, 98.6% of packet delivery ratio, 97.5% of network lifetime, 62.8sec of encryption time and 71.2sec decryption time.
Cloud Data Security in Multi Model Attributes For Randomized Key Service Using Encryption Techniques
Authors: Et. al. S.Noordeen ,
Published: April 2021

The growing size of information, security became the risk of access from centralized resource providers deploy them into cloud, where authorized users could access them. The nearly combined nature of cloud environment does not yet allow users to perceive the cloud resources and services in a split second. At the same time, they are upgrading. Also, attribute based encryption techniques are used towards the security development in few methods. Also, profile based approaches are used which uses different encryption keys according to user profile. However, all the methods suffer to achieve higher performance in datasecurity. To solve this issue and to improve the security performance, an efficient Service LevelAttributeBasedEncryption (SLABE)ispresented.Inthisapproach,themethoduses different key set of different services. For each attribute, the method maintains different keys for various services. According to the key belongs to the attributes and service, the method performs encryption and decryption. The method improves the performance in security and increases the throughput aswell. Further to improve the security performance, a multi attribute randomized key Service Level Encryption (MARK-SLE) scheme has been presented. In this approach, the method classifies the service and for each service, the method generates different key set according to the attributes accessed. The method selects the keys in a randomized approach and chooses the keys at different time session. Generated key has been used to perform encryption or decryption where the schemes of encryption also selected in a random manner. The proposed MARK-SLE algorithm improves the security performance than previous SLABEalgorithm. Third, a Service Level Scheduler Based Encryption (SLSBE) Scheme is presented. In this approach, the security in service level and scheduling strategy is considered. For each service available, the method maintains the set of attributes being accessed. For each level of service and attributes, the method uses different keys and encryption standards. At the reception of user request, the method identifies the service claimed and set of attributes.
A Contemporary Study on Quantum-Computing Security Mechanisms in 5G Networks
Authors: Et. al. Rydhm Beri ,
Published: April 2021

5G communication technology works with the integration of several technologies viz. Cloud Computing, network partitioning and software based networks. This integration allows the communication between thousands of device across the world which have enormous issues related to data protection, data authenticity, and data confidentiality. So, there is an immense need of secure protocols to face or resolve security related issues related to design and operation of 5G network. Moreover, some structured cryptography protocols required to develop and accomplish data security in 5G communication. The study focussing on the comprehensive consequences of quantum computing on security implementations of 5G mobile communications. The study discussing about the cryptographic algorithm used in 5G, and what are the various consequences of involvement of quantum computing.
Analysis of Nosql Database State-of-The-Art Techniques and their Security Issues
Authors: Kaur Harpreet
Published: April 2021

NOSql database systems are extremely optimized for performing retrieval and adjoining operations on large quantity of data as compared to relational models which are relatively inefficient. They are used majorly for real-time applications and statistically analyzing the growing amount of data. NoSQL databases emerging in market claim to outperform SQL databases. In Present time of technology, every person wants to save and secure   its data so that no one can check their information without their permission .However, there are multifarious security issues which are yet to be resolved. In this paper, we are discussing and reviewing about the Nosql databases and their most popular security issues link (Cassandra and Mongo DB).
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 eAuction, 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 Customer satisfaction and 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.