bluuebunny/crossref_metadata_2025 huggingface dataset:
Complexity, Maturity and Competency in the Project Risk Management Environment: A Relational Framework involving the Triple Helix Role Players
Authors: Et. al. E Naidoo,
Published: April 2021

The growth in project activity and rise in project failures emphasises the importance of project management as a discipline in which employee perceptions, knowledge, decision-making and communication play a central role. This is even more apparent when projects affect not only one facet of society, but have far reaching consequences for government, industry and training providers. This paper aims to ascertain whether there is a relationship between complexity, maturity and competence with respect to projects. A multi-method research approach was employed, whereby interviews and a web-based survey were used to collect data from Eskom management and project risk management practitioners. The data and information were used to develop a sense-making framework and propose recommendations to enhance project risk management, where-after, the organization (Eskom) developed a competency framework for project managers.
Segregation of IoT Traffic with Machine Learning Techniques
Authors: Et. al. Shilpa P Khedkar,
Published: April 2021

The Internet of Things (IoT) is emerging as a new infrastructure of 21st century. With the advent of cloud computing and evolution of IoT, the classification of traffic over IoT networks has attained significance importance due to rapid growth of users and devices. It is need of the hour to isolate the benign traffic from the malevolent traffic and to channelise the normal traffic to the intended destination to suffice the QoS requirements of the IoT users. A proficient classification mechanism in IoT environment should be capable enough to classify the heavy traffic in a fast manner, to deflect the malevolent traffic on time and to transmit the benign traffic to the designated nodes for serving the needs of the users. In this manuscript, machine learning and deep neural networks-based approaches are proposed for segregating the IoT traffic which eventually enhances the throughput of IoT networks and reduces the congestion over IoT channels. This paper also provides insights into the future research endeavors to channelise the normal traffic and to handle the malicious traffic
Experimental Evalutionof Tensile Strenght of Cryogenically Solidified Aluminium Based Metal Matrix Composites (MMC)
Authors: Et. al. Kuwarmausam,
Published: April 2021

Present technology demanded high strength lightweight material which offers good mechanical property and light in weight. Metal matrix composite is one popular type of such material. In this research authors, aluminum is reinforced to increase its properties like hardness, strength, elastic stiffness to suits the needs to design. Aluminum of grade LM13, which is light material reinforced with boron carbide to improves mechanical properties like strength hardness and elastic properties. In this paper author experimentally evaluate the mechanical properties of Aluminium LM13. The weight percentage of boron carbide by varying with a range of 5%, 10%, 15%, and 20%. An improved property of MMC makes them useful in different areas like aerospace and automotive industries. The microstructure of developed material has been reported in this paper.
A Review of the cluster based Mobile Adhoc Network Intrusion Detection System
Authors: Et. al. T. Sushma,
Published: April 2021

The Mobile Ad-hoc Network is decentralized and consisting of numerous different communication devices. Its distributed design and lack of infrastructure are the means of numerous network assaults. For personal computer users, companies, and the military, network security has become more important. Safety becomes a significant issue with the rise of the internet, and the past of security enables a better understanding of the evolution of security technology. Via the audit and monitoring phase, the implementation of Intrusion Detection Systems (IDS) in ad-hoc node securities was improved. This framework is made up of clustering protocols that are extremely efficient in finding intrusions with low resource and overhead computing costs. Current protocols have been related to routes that are not popular in intrusion detection. The cluster is barely impacted by the weak road layout and route renewal. The cluster is unpredictable and results in processing maximization together with network traffic. In general, battery-based ad hoc networks are organized and dependent on power constraints. To detect and react rapidly against intrusions, an active monitoring node is required. Only if the clusters are strong and extensive maintaining capabilities can it be accomplished. The routes also shift as the cluster shifts and it would not be feasible to prominently process the achievement of intrusion detection. This raises the need for a better clustering algorithm that addresses these disadvantages and guarantees the protection of the network in any way. A powerful clustering algorithm that is ahead of the current routing protocol is the cluster-based Intrusion Detection Method. Regardless of routes that perfectly track the intrusion, it is permanent. This streamlined technique of clustering achieves strong intrusion detection speeds with low processing as well as memory overhead. It also overcomes the other limitations of traffic, connections, and node mobility on the network, regardless of the routes. In detecting the attack or malicious node, the individual nodes in the network are not active.
Elucidating Complex Queries Based on Curtailing Technique for Effective Green Communication
Authors: Et. al. Anshy Singh,
Published: April 2021

A system has been developed to improve on the quality of search for which we have replaced the present searching methods by our procedure Explore Scheme, which greatly increases the utility of Web, over what is available today. None of the Search Techniques is able to deal effectively and efficiently with the huge volume of information posted on World Wide Web. In the current searching methodology, our proposed system emphasizes on enhancing the searching method by our proposed Explore-Scheme procedure, which provides solution to the complex queries based on contextual expansion. It is our observation that in investigating relevance feedback questions (both existing and new), we will implement the Explore-Scheme algorithm on web in this way we can enhance the ability which will give rise to the information which is good, of some use and relevant. Currently, we are implementing the system that is able to demonstrate important properties of the presented approach. Our method reduces the word to its atomic part thus curtailing the size of the dictionary by saving Storage space and processing time enhancing the processing speed of query. We can finally say that our proposed algorithm will definitely improve the information retrieval capabilities and are able to deal effectively and efficiently with the huge volume of information posted on World Wide Web.
Elderly Fall Detection using Lightweight Convolution Deep Learning Model
Authors: Varshney Neeraj
Published: April 2021

Old people, who are living alone at home face serious problem of Falls while moving from one place to another and sometime life threading also. In order to prevent this situation, several fall monitoring systems based on sensor data were proposed. However, there was an issue of misclassification to identify the fall as daily life activities and also routine activity as fall. Towards this end, a deep learning based model is proposed in this paper by using the data of heart rate, BP and sugar level to identify fall along with other daily life activities like walking, running jogging etc. For accurate identification of fall accidents, a publicly accessible data collection and a lightly weighted CNN model are used. The model reports proposed and 98.21 % precision.
RFID Based Vehicle Toll Collection System for Toll Roads
Authors: Et. al. Piyush Singhal,
Published: April 2021

The RFID-based vehicle collection program is intended to better handle toll operations through technology that aims to streamline the flow of vehicles. The purpose of this work is to plan, introduce and promote the automated operation of the car selection system (VTS). The Vehicle Toll Collection Device in this paper automatically detects vehicles and gathers machine-readable details on tolls for automobiles driving in the toll road. This knowledge is instigated by the modification and installation of at least one vehicle with a moving vehicle detection device. The computerized control device located along the toll line will transmit the registration signal as the car is reaching the registration point and will determine the toll to be debited and transfer the toll electronically to the account of the individual vehicle. This device helps a car to proceed beyond the scan point with no halting, thereby providing commuters with optimum comfort, speeding up traffic movement and reducing the need for human capital on highways
Static Analysis of the Effect of Shape Memory Alloy in Laminated Beam
Authors: Et. al. Radha Tomar,
Published: April 2021

This study deals with the effect of shape memory alloy in carbon/epoxy laminated beam. In this study we analyses static response of laminated beam under the load of 10 KN at the mid span of the beam. In this study a cantilevered beam of dimension 1000mm length, 100mm width and 30mm height which is divided in 3 layers of 10mm each is considered. The study includes three cases. In first case all the 3 layers of beam is laminated with carbon/epoxy. In second case the top and the bottom layers are laminated with carbon/epoxy and middle layer is2qw laminated with shape memory alloy. In the third case the top and the bottom layers are laminated with shape memory alloy while the middle with carbon/epoxy. Loading and boundary conditions are same for all the three cases. All the analysis is done using ANSYS workbench 15.0
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.
Intelligent System to Find the Health Care Centers for Senior Citizens Based on Disease and Nearest Locations using GPS
Authors: Et. al. Gurram Sunitha,
Published: April 2021

It is not convenient nowadays for senior citizens to find an accessible and appropriate health care centre that can meet their needs. Therefore, this initiative helps senior citizens to look for a suitable facility depending on their location and their current illness. The scheme is simple and easily produces results. By using GPS feature or Internet network by using position coordinates and pre-built coordinate databases of nursing care facilities, the details of the nearest facility can be obtained along with the name of the location and buildings with smart phones. The software also provides a tracking service for consumers (senior citizens) so that, by forming a technical relationship with medical centres, it can offer a range of high-quality facilities. The contribution of this system is that through the O2O service, emergency responders can intelligently find a correct hospital that can treat the illness or accident of patients with a smart phone.
Prediction of House Price Using XGBoost Regression Algorithm
Authors: Et. al. J. Avanijaa,
Published: April 2021

House price fluctuates each and every year due to changes in land value and change in infrastructure in and around the area. Centralised system should be available for prediction of house price in correlation with neighbourhood and infrastructure, will help customer to estimate the price of the house. Also, it assists the customer to come to a conclusion where to buy a house and when to purchase the house. Different factors are taken into consideration while predicting the worth of the house like location, neighbourhood and various amenities like garage space etc. Developing a model starts with Pre-processing data to remove all sort of discrepancies and fill null values or remove data outliers and make data ready to be processed. The categorical attribute can be converted into required attributes using one hot encoding methodology. Later the house price is predicted using XGBoost regression technique.
Analytical Solution of FSO-Mimo System Peformance Using DWDM Optical Communication
Authors: Et. al. J. Shanthini,
Published: April 2021

Now days, in optical communication network challenge requirement are a high quality factor, good performance in terms of parameters like Bit Error Rate (BER), Eye Diagram. An objective of this paper, to analysis the attenuation value for a haze and normal weather condition respectively, and analysis, performance result of the different optical system has been compared in terms of received signal strength and quality factor of the different haze atmosphere. In this proposed paper used FSO with SISO and FSO-MIMO system for measuring the Q-factor and BER for various data link in different atmosphere. Finally, simulation result shows that the improved FSO link over the existing technique in terms of both the parameter signal power strength and quality factor.
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.
An Improved under Sampling Approaches for Concept Drift and Class Imbalance Data Streams using Improved Cuckoo Search Algorithm
Authors: Gullipalli Tirupathi Rao
Published: April 2021

One of the biggest challenges in the recent times in the field of data stream learning is to mitigate the presence of concept drift. There are numerous challenges in overcoming the concept drift, such as changing class ratio, huge volume of data and real time processing for effective knowledge discovery. Evolutionary search techniques are one of the new paradigms to handle huge dimensionality and scalability of the data streams. One of the finest and least applied evolutionary search approaches is the cuckoo search technique for data streams. To solve both the concept drift and class imbalance issues simultaneously, in this paper we have proposed an approach using nature inspired evolutionary optimizing technique known as Cuckoo Feature and Instance Selection (CFIS) algorithm. The performance evaluation of the proposed approach is done on an exclusive experimental setup of 15 data streams formed and compared with two data stream approach. Moreover, a set of six evaluation criteria’s are considered for showing overall better performance of the proposed approach in the presence of concept drift and class imbalance.
A Survey on Machine Learning Approach to Detect Malware
Authors: Et. al. Selvarathi C,
Published: April 2021

Malware is one of the predominant challenges for the Internet users. In recent times, the injection of malwares into machines by anonymous hackers have been increased. This drives us to an urgent need of a system that detects a malware. Our idea is to build a system that learns with the previously collected data related to malwares and detects a malware in the give file, if it is present. We propose a various machine learning algorithm to detect a malware and indicates the user about the danger. In particular we propose to use a algorithm which give a optimal solution to hardware and software oriented malwares.
Insect Detection in Rice Crop using Google Code Lab
Authors: Et. al. K. Sumathi,
Published: April 2021

Herb plants are essential in the medical field today and can help humans. Phyllanthus Elegans Wall is used in this study to analyse and categorize whether it is a safe or unhealthy leaf. At the moment, most insect identification methods rely on physical classification, making it difficult to automatically, quickly, and reliably identify in stored grains. The concept of this research is to ascertain the quality of leaves by combining technology with pesticide classification in the agricultural sector. Picture collection, image processing, and classification are the first steps in enhancing leaf quality analysis. The segmentation using HSV to input RGB image for the colour alteration structure is the most significant image processing method for this section. The colour and shape of a leaf disease image are used to analyse it. Insect detection in complex backgrounds is more versatile with the score map that is decision alternate highly interconnected layer, and our detection speed has upgraded. Finally, the taxonomy approach employs an algorithm that feeds directly that employs formation backwards techniques. The result shows a Many-layer Preceptor and Nonlinear Activation Feature comparison, as well as a percentage of accuracy contrast between MLP and RBF. MLP and RBF are neural network algorithms. Clearly, the Neural Network classifier has a better presentation and precision.
A Study on Determinants of Customer Satisfaction in E-enabled bus booking platforms
Authors: Deogadkar Amol
Published: April 2021

E-enabled ventures (especially the online bus booking services) have witnessed impressive growth in India during last decade. Especially after COVID-19, customer shift towards online services is expected to augment. This paper is an attempt to develop a scale for determinants of customer satisfaction amongst the existing users of online bus booking (e-enabled platform).Using e-SERVQUAL model by Parasuraman et al. (2005), a draft instrument was designed. Since online bus services also includes physical experience of services offered, Tangibility factor was added in the construct. The questionnaire was tested on a sample of existing users of online bus booking services (n=105). After checking for the adequate reliability score, Exploratory factor Analysis (EFA) was performed. It resulted into extraction of four factors such as Contact, Fulfilment, Privacy and Responsiveness, accounting for 50.5% of total variance explained. Validating this scale on a larger sample for generalisation of the results would be the future agenda of research. Development of India specific scale for e-enabled business models in public transports can be considered as one of the major contribution of this study.
A Comparative Analysis on Hybrid SVM for Network Intrusion Detection System
Authors: Et. al. Gaddam Venugopal,
Published: April 2021

Rapid growth in technology, not only makes smoother the life style, but also reveals a lot of security issues. Day by day changing of attack types distractsnot only organizations, companies but also the people who are using network services for their daily needs.Intrusion Detection Systems (IDS) have been developed to avoid financial losses caused by network attacks. KDD CUP 99, NSL-KDD, KYOTO 2006+, CIDDS-01 etc., some of the Intrusion Datasets available for researchers to test and develop their IDS models. In this paper, an attempt is made to compare the effect of various SVM Kernel based models and Hybrid kernel based models etc., on CIDDS-01 dataset. Results were drawn.
Creation of Polymer Coatings for Improving of Protective Properties of Surfaces
Authors: Et. al. A.A. Orekhov,
Published: April 2021

In this paper, the preparation of polymer coatings on the surface of metal structural elements is considered to improve their physical, mechanical and strength properties. It is shown that the behavior of substrate samples under mechanical loads can be estimated using mathematical modeling methods. The properties of coatings and the mechanical properties of coated and uncoated metal plates have been evaluated. Methods for constructing mathematical models of metal plates of various structures are proposed.
Effect of Shape of Armoring Fibers on Strength of Composite Materials
Authors: Et. al. Y.A.Vahterova,
Published: April 2021

In this work, experimental studies of the effect of fiber curvature on the strength and ultimate deformations of epoxy carbon plastic samples under loading are carried out. On the basis of the experimental studies carried out, the static characteristics of the composite layered material, which are promising for use in the structures under consideration, have been determined. Based on the test results, it was demonstrated that in the design calculations for the products under consideration, it is possible to use static characteristics, since an increase in the deformation rate of the material leads to an increase in strength and, therefore, the calculation results will provide an additional margin of safety.
Effect of High Velocity Deformation on Strength of ArmoredComposite Materials
Authors: Et. al. Trah Quyet Thang,
Published: April 2021

This paper considers the problem of determining the strength of carbon fiber reinforced plastic with straight and curved fibers under high-speed loading. High-speed tests of unidirectional CFRP specimens with rectilinear and wavy structure have been carried out. The influence of the structure and high-speed loading on the ultimate strength and ultimate deformation of the material is investigated. For the first time, a detailed study of the effect of fiber curvature on the properties of CFRP under high-speed deformation has been carried out. As a result of dynamic tests, it was shown that the ultimate strength in unidirectional laying is higher than in wavy laying. The effect of increasing the ultimate deformations of specimens with bent fibers was established, which was noted earlier for the case of tensile tests.
Mathematical modelingof heat and mass transfer processes in the adsorbers of the air purification system
Authors: Et. al. E.I. Starovoitov,
Published: April 2021

The present work is devoted to the study of the processes of heat and mass transfer in the adsorbers of the preliminary drying unit of the atmosphere purification system. A mathematical model has been developed that adequately reflects the physical processes at all stages of the adsorption cycle.Algorithms for solving problems and programs for calculating heat and mass transfer processes in an adsorption regenerated installation are obtained, results of parametric calculations of heat and mass transfer processes at each stage of the adsorption cycle and for the entire cycle as a whole are obtained.
Processing and Recycling of thermoplastic polymers: Current Scenario and Future Challenges
Authors: Et. al. Balwant Singh,
Published: April 2021

Thermoplastic polymers are extensively utilized in electronics, aerospace, automobile and additive manufacturing industries due to low cost, low temperature processing and reusability. Thermoplastics of different grades and chemical structures arereadily available in the market They can be reusedand reshaped, and also can be manufactured with less weight proportion as compared to the metals and ceramics by providing same strength of material. As a result, the plastics products in the market are getting popular day by day with high demand of customized products due to inception of additive manufacturing technologies. In any case, the issue of recycling these materials is challenge due to enormous energy requirements and varying chemical composition of different polymers. There are both mechanical and financial issues that restrict the advancements in this field. The recycling process of polymers can be done by the four different ways such as primary recycling process, secondary recycling process, tertiary recycling process and quaternary recycling process which can be discussed in this systematic review with practical examples. The modifications and implementation of these polymer waste recycling techniques could help to reduce wastage and save material cost which would directly affect the economy of contemporary industries.
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.
Incomplete Information And Columns-Based Intelligent Systems
Authors: A.M Chesnokov
Published: April 2021

The paper considers columns-based intelligent systems that work under conditions of incomplete information, that is, input patterns are represented by their sub-patterns. The definition of direct and inverse problems under incomplete information is given. The solution of these problems is shown using the method of element-wise comparison of patterns and the intersection method. A relation between system’s ability to work under incomplete information and prediction is shown.
Design And Analysis Of Formula Sae Vehicle Rear Upright Andcomparision Of Analytical And Software Analysis Solutions Ofprincipelstressesat Differentpoints
Authors: Et. al. Sasanapuri Sandeep,
Published: April 2021

Upright is used in vehicles which connects frame or chassis and tires. Chassis is connected toupright with A-arms at the top and bottom using different types of fasteners through which theload is transmitted to it. I choose to design a FSAE(formula society of automobile engineers) caruprightbasedonthedatacollectedfromarealtimehybridformulavehicle.Uprightismodeledin Solidworks 2015 and all principle stresses and strains are found through simulation analysissoftware ANSYS 19.2. Now these solutions are compared with the analytical solutions which issolved using MATLAB software, So that we can be able to predict which one is more accurateandhowthese simulationsoftwareare beingableto solveproblemsbased ontheseconcepts.
Applications of Operation research in the Field of IOT
Authors: Et. al. Navleen Kaur,
Published: April 2021

These days Internet of Things (IoT) increased an extraordinary consideration structure specialist, since it turns into a significant innovation that guarantees a shrewd individual life, by permitting an interchanges between objects, machines and each thing together with people groups. IoT speaks to a framework which comprises a things in reality, and sensors joined to or consolidated to thesethings, associated with the Internet through wired and remote system structure.In this paper I have represented the various application of the operation research in the field of IoT.
Applications Of Mathematical-Oriented Elements And Approaches In Civil Engineering: A Critical Review
Authors: Et. al. Rashmi Sharma,
Published: April 2021

The rapid technological modernization in civil engineering is diligentlyconnected to the inte: rdependenceamongst mathematics and civil engineering. This demands civil professionals be more competent and trustworthy in their mathematical and engineering abilities. This paper reviews the tendencies of engineering complications that involvemathematical-oriented fundamentals. Introductions to the civil engineers at the place of workproposeunderstandings of the nature of complications in the actualbackground and an examination of the mathematical-oriented fundamentals in cracking these difficulties. The findings recommendthat the mathematicalinformative endeavours assimilatetrustworthy problem-solving understandings for civil engineering scholars. Functioning research is one of the modernsubdivisions of practical mathematics. Due to the extensive applicability and substantialusefulness, its expansion became significant, the business revolution and the spectacular growth of the calculationprocedure had animportant role. The operative research deals with the resilience of afinestconclusion as a symbol of the defrayal of deterministic and stochastic depictionsorganized for the learning of monetary andorganizationalspectacles. From a rationalmethodology, the development of the elaboration of a conclusion is edged by numerous decisional prototypes, as well as the eminence quodictating the settlement commissioning a result is measured by the volume, erection and excellence of the existingdata. Subsequently, the supervisors may use mathematical prototypes of optimization which are supportive for captivating a conclusion under the conditions of reliability, which means all importantessentials are known, as following: Decisional imitation; Decisional board; thepractice of global utility. In most of the subjectsacknowledged, it is assetobserving that the use of mathematics is extensively applied in civil and structural engineering complications. The uncontaminated mathematical connotations seem to be subliminallysecreted and entrenched behind the ‘civil and structural’ of the complications, but it remains appropriate to know whereverdiagnostic results originated from. Therefore, it can beaccomplished that the mathematics-oriented acutethoughtfulfundamentals are suggestivelyrequired to crackseveral civil engineering places of work problems.
Enhanced Effective and Privacy Preserving Multi Keyword Search over Encrypted Data in Cloud Storage Using Blowfish Algorithm
Authors: Et. al. Ch. Chakradhara Rao,
Published: April 2021

The data owner administers their data to the public cloud due to regulatory. Even this data encoded once it easily transmitted to the cloud. In order to ensure the privacy and security, cloud subscribers need a very different type of online data. This specific information must be germane to the recipient's query. The user to inspect the query too in the cloud with umpteen keywords can accomplish this. With the intention to defend the privacy of data, confidential data encoded before subcontracting by the metadata owner, attempting to make the traditional and efficient plaintext keyword search tactic pointless. Therefore, it is crucial to explore a secure data search service for encrypted user data. Due to the growing of massive number of digital users and legal documents in the cloud, umpteen keywords forced in the search request and documents returned in the order of their relevance to these keywords.Cloud assistance end-user demands cloud information by various paternoster inquiry, whichlabelled as umpteenkeywordstratified exploration over scrambled information. In the cloud server, all the client inquiries exchanged. Server looks through the significant matter by utilizing the harmonic equivalency and sends the applicable outcomes to the client. Information got from cloud server is in the scrambled configuration. To get to control to the client,Information proprietor furnishes with key for unscrambling of information. Message Authentication Code(MAC) calculation is utilized to check and confirm trustworthiness of information. Thusly this paper depicts the method of giving security to redistribute information on cloud and checking the trustworthiness of information using blowfish algorithm. Comparison results shows the improvement in efficiency of Data Retrieval and Time efficiency.
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.
Experimental analysis of heat transfer coefficient in counter flow shell and helical coil tube heat exchanger with hybrid nanofluids to enhance heat transfer rate using in food processing industries
Authors: Et. al. D. Sarath Chandra,
Published: April 2021

The impact of overall heat transfer coefficient and the pressure drop on performance of a counter flow helical tube heat exchanger with Cu-Ni-water hybrid nanofluid are computed. To evaluate heat transfer rate for a mix of base fluid with copper and nickel nanoparticles of volume concentrations 0.02,0.04 and 0.06 are added. To control the sedimentation of nanoparticles in the base fluid Ultrasonication followed by magnetic stirrer method is used. In this work experiments are conducted with to enhance heat transfer rate rather than stability of nanoparticles. Experiments are conducted for different concentrations and coil turns under laminar flow regime. The results are shown that 0.04 % vol of Cu-Ni/H2O with 12 turns is more predominate foe food processing applications due to its consistency in maintaining a constant temperature.
Expressing Numbers in terms of Golden, Silver and Bronze Ratios
Authors: Sivaraman Dr. R.
Published: April 2021

The idea of expressing certain kind of numbers as linear combination of special class of numbers has always been an interesting exercise in mathematics. In this paper, I present an interesting way to write a given natural number as sum or difference of integral powers of golden ratio, silver ratio and bronze ratio. Suitable illustrations enabling the process are briefed in the paper.
PerformanceAnalysisof a StandbySystemusing Exponential-Rayleigh-Weibull Distributions
Authors: Et. al. R.K. Bhardwaj,
Published: April 2021

Abstract: All through the life-cycle of a standby system, it is verychallenging to keep a standby unit workable.It may be fatalif the standby found non-workablewhen needed.This paper evaluates the performance of a standby systemworking under two primary constraintsby underlining the condition of the spare unit in standby mode. The first constraint is the maximum redundancy time for the standby and the second is maximum operation time for the operating unit.The standby unit failson exceeding the maximum time threshold andthereafterthe decision about its repair/replacement is subjected tothe inspection. While after surpassing the maximum operating time limit preventive maintenance is carried outfor the operating unit.To study the long-run performance or life-cycle of the system various performance indices have been analyzed usingthe theory of discrete-state continuous-time semi-Markov regenerative processes.Exponential, Rayleigh and Weibull probability distributions are used to study the system performance numerically.
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.
A Review of Fuzzy Logic and Artificial Neural Network Technologies Used for MPPT
Authors: Et. al. Tawseef Ahmad Wani,
Published: April 2021

Solar electric power generating stations play a major role in meeting the growing demand for electric power. These generating stations make use of solar photovoltaic (PV) panels to perform the conversion of solar energy to electric energy. However, the solar panel output is highly unpredictable because the output is a function of number of factors; some of which are not in the control of humans like the weather conditions, and the output is also a function of the age of PV panel, dust and other debris collected on the panel, direction and angle of elevation and so on. The solar panels exhibit a low efficiency. Currently, a lot of research is going on to overcome these issues. This paper represents a review of two modern techniques used in solar photovoltaic systems which enhance the extraction of maximum output power in an efficient manner. The Artificial Intelligence Based MPPT Techniques for PV Applications, and, a Forecasting System of Solar PV Power Generation using Wavelet Decomposition and Bias- compensated Random Forest are reviewed and compared in this paper.
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.
ZEEHC: Zone-Based Energy Efficient Hierarchal Clustering Hierarchy for Wireless Sensor Networks
Authors: Mittal Nitin
Published: April 2021

Wireless Sensor Network (WSN) is an emerging technology with potential applications in the field of habitat monitoring and industrial applications. Sensors monitor changes in an environment's physical attribute such as temperature, and observe the data collected and forward it to the base station (BS). Mostly these sensors are unattended, and their limited battery life makes energy a valuable resource that has to be used wisely. For the collection of information, the sensor network must be maintained for a longer duration of time in an energy-efficient manner.Therefore, designing protocols that prolong the life of the network and which are energy-efficient is incessantly fascinating. This paper proposed a protocol referred to as the zone-based energy-efficient hierarchical clustering (ZEEHC) protocol that divides the network into small zones and increases network lifetime. In order to achieve minimum energy consumption, multi-hop contact is implemented between ZHs - CHs -BS. The results further reveal that the proposed protocol significantly outperforms existing algorithms in terms of energy optimization and system lifetime.
Design and Analysis of a Rectangular Fin with Comparing by Varying Its Geometry and Material, With Perforation and Extension
Authors: Et. al. Kota Leela Sai Bharath ,
Published: April 2021

Extending fins improve the rate of heat transfer or decrease convection. A fin is only for the reason of increasing the surface area in order to maximize heat transmission like a motor, heat exchanger, CPU, or to a heat-generating surface area. The benefit of performing thermal analysis on a flat fin is that it will tell how far heat is dissipated. This paper's primary purpose is to design and evaluate the thermal properties of rectanglular fin with varying geometry and content, and to expand the rectangular fin plate with Catia5R tools. Catia and Ansys are used to construct the geometries, and analyses of thermal properties are applied to them The tip is 5mm wide at present, decreased to 4mm. The aluminum alloy used in the manufacture of the rectangular fin body has thermal conductivity of 110-160 mK. The conducting coating on this paper is replaced with Aluminum Alloy 1100, which has a thermal conductivity of 210 to the mW/mk for the substrate and many unusual and prolonged margins. Case studies are used and graphed as well as total conclusions are drawn.
Organizational confidence and its role in improving the performance of staff Field research for a sample of Samaraa University and the Samaraat University staff
Authors: Et. al. Omar Azeez Abbas  ,
Published: April 2021

The research is to learn about organizational confidence and its role in improving the performance of staff and to achieve this goal, the researchers have found through the research hypothesis and its change of organizational confidence in its dimensions (confidence in senior management, confidence in the direct president, trust with co-workers). The second change is to improve the performance of staff, where the research sample consisted of 50 staff members at the university and college levels. The most important results were the lack of delegation of authority, participation in decision-making and insufficient attention to work requirements The experience of the management of the system is that the system is not only a function of the system, but also a function of the system. The 2-way
Study Of Students’ Performance Prediction Models Using Machine Learning
Authors: Et. al. Mr. S. Viswanathan,
Published: April 2021

Educational Data Mining (EDM) is a novel concept associated with developing methods for exploring the specific types of data produced by educational settings and using those approaches to effectively understand students and the environments in which they learn. Prediction attempts to shape trends that will allow it to predict results or learning outcomes based on available data. Predicting student success has become an appealing challenge for researchers. They develop an understandable and efficient model using supervised and unsupervised EDM techniques. This assists decision-makers in improving student performance. The task of deciding the best model leads to the emergence of various techniques from both EDM techniques. The numerous research models used to solve the problem of student success prediction using educational data mining are discussed in this paper. The primary purpose of this paper is to explain the methodology for implementing the proposed solution for student performance prediction, as well as to present the findings of a study aimed at evaluating the performance of various data mining classification algorithms on the given dataset in order to assess their potential usefulness for achieving the goal and objectives.
Analysis and Visualisation of Research Trends in Photonic Metamaterial: A General Review
Authors: Kakkar Raman
Published: April 2021

Photonic Metamaterials are having wavelengths smaller than the wavelength of light and have diversified applications in sensing and imaging.The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Photonic Metamaterial”.All published articles related to “Photonic Metamaterial” 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 “Photonic Metamaterial”and also to find out the trends related to the same.The most active journals in this research domain were Optic Express and Science. The most active countries were China, Germany, and the United States of America. The leading organizations were the Tongji University of China and Karlsruhe Institute of Technology of Germany.The most active authors related to photonicMetamaterials were Linden S., Bade K. and Saile V.
Properties of Padovan Sequence
Authors: Sivaraman Dr. R.
Published: April 2021

Among several types of famous sequences that exist in all branches of mathematics, Padovan sequence is one of such sequences possessing amusing properties. In this paper, we shall discuss about Padovan Sequence and determine a special number called Plastic number. We also derive the ratio of its (n+1)st term to the nth term as n is very large, which is called “Limiting Ratio”. Finally we discuss the geometrical interpretation of the terms of Padovan sequence.