bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Digital Heritage and Heritage Computing
Authors: Manjulaadevi K. , Geethalakshmi N.
Published: August 2021

Heritage Computing is a conception developed to preserve and nurture India’s rich heritage mirrored in various ancient literary works, scientific discoveries etc.writtenin various scripts. Through Digital medium using computers, Heritage Computing keeps this ancient works alive and available to all in most conducive manner. Heritage Computing is of great importance in country like India where multi-lingual people belonging to different religions live together with diversified cultures. India, to its credit has 22 scheduled languages, heritage & classical languages along with eight hundred widely used dialects, each of these are imbibed with values. Hence preserving and passing on to future generation is a necessary.
An Analysis on Internet of Things (IoT) for Smart Healthcare
Authors: Sapna S.
Published: August 2021

The rapid evolution in the numbers of devices is connected to the Internet of Things and the increase of data. Internet of Things (IoT) refers to identifying a physical object through internet. The term Internet of Things is the concept of uniting computers and networks to monitor and control devices has been around for years. Any object can be connected in internet and it can be accessible from anywhere in the world using internet. Internet of things (IoT) is a fast growing user friendly technology which allows everything to be connected together and also allows effective communication between connected things. Intelligent devices of IoT like Radio-Frequency Identification (RFID) tags, smart sensors, and smart dust are connected on large network with unique accessibility. IoT exchanges data in small seconds and also it consumes less power. It makes human life comfortable and builds a smarter world. This paper provides an overview on the role of Internet of Things in smart healthcare management.
Classification Techniques on Twitter Data: A Review
Authors: Shafina Banu S. , Syed Kousar Niasi K. , Kannan E.
Published: August 2021

Data mining is the practice of examining unknown patterns of data according to diverse viewpoints for classification into valuable information, which is composed and gathered in collective areas, such as data warehouses.For effective analysis, data mining algorithms enabling business decision making and other information necessities to eventually cut costs and raise revenue. Sentiment analysis is the method of defining the emotional tone behind a sequence of words, used to gain an accepting of the attitudes, opinions and emotions conveyed within an online mention. Sentiment analysis is tremendously useful in social media observing as it allows us to gain a synopsis of the broader public opinion behind definite topics. The applications of sentiment analysis are extensive and influential. The ability to abstract insights from social data is a practice that is being broadly adopted by organizations across the world. In this paper, we focused on sentiment analysis on the twitter data.
Structuring of Web Pages using XML Framework for Information Filtering
Authors: Annalakshmi Mu. , Padmapriya A.
Published: August 2021

Finding the required information in the vast area of web has been increasingly difficult in recent days since the web is overloaded with enormous content in the form of text, images, audio and video. Search engines help in this context to some extent but there are difficulties with them also. This paper proposes a framework in XML for the web pages in results of the search engines which helps in information filtering and search engine optimization.
Adder with Efficient Speed and Area by Using Quantum-Dot Cellular Automata Technology
Authors: Sumana G. , Anjan Babu G.
Published: August 2021

The lessening in transistor estimate by following field’s law made chip unpredictability with more computational capacity. The present size of the transistor needs to decrease more, which prompts nanotechnology. The quantum-dot cell automata come extremely close to nanotechnology presents one of the conceivable arrangements in defeat this physical breaking point, even though the designs with QCA technology are not a fundamental basic. In this brief by considering quantum-dot cell automata (QCA) innovation idea a greater part door based adder is outlined. The effectiveness in territory and speed by larger part entryway idea based adders are executed and contrasted with beforehand technique plans by utilizing verilog coding mimicked in Xilinx. The proposed one-piece QCA viper depends on another calculation that requires just three larger part entryways and two inverters for the QCA expansion. Novel 128-bit adders designed in QCA become accomplished.
An Efficient Novel Load Balancing Algorithm to Improve the Performance of the System in Cloud Environment
Authors: Neelima P. , Rama Mohan Reddy A.
Published: August 2021

Distribution of workload in a balanced manner is a main challenge in cloud computing system. It distributes workload among multiple nodes, hence resources are properly utilized. This is an optimization problem and a good load balancer should be involved for this strategy to the types of tasks and dynamic environment. To overcome load balancing problem here a Novel Load balancing Algorithm is develop i.e. Dragonfly Algorithm is design and developed, to execute the entire task with shortest completion time and load balanced. Our algorithm will be presented with efficient solution representation, derivation of efficient fitness function (or multi-objective function) along with the usual Dragonfly operators. The performance of the algorithm will be analyzed based on the different evaluation measures. The algorithms like particle swarm optimization (PSO) and Genetic algorithm (GA) will be taken for the comparative analysis.
Acknowledgement Based Technique for Detection of the Wormhole Attack in RPL Based Internet of Things Networks
Authors: Neerugatti Vikram , Rama Mohan Reddy A.
Published: August 2021

Internet of Things (IoT) is the advanced technology, were the constrained nodes/things (all the objects around us such as chair, home, car, keys, etc.) will be connected to the internet to form a network, for sharing and monitoring the data, remotely. RPL (IPv6 Routing Protocol for Low Power and Lossy networks) is a routing protocol particularly designed for the constrained (low powered, low computation, less size, etc.) networks with the protocol 6LoWPAN (IPv6 Low Powered wireless Personal Area Networks). Due to the constrained behaviour of the RPL protocol, it will leads to many RPL routing attacks such as Sinkhole, Black hole, Wormhole, Selective forwarding, rank attacks, etc. This paper was focused on the Wormhole attack. The Wormhole attack will select the packets from one location and drops those packets in some other location (malicious) by forming the Tunnelling. To detect this attack here proposed and implemented a novel approach called (ADWA). Acknowledgement based technique for detection of the wormhole attack in RPL based Internet of Things networks. This approach was shown efficient results with the Telosb sky emulator nodes in the Contiki Cooja simulator, in terms of the Packet delivery ratio, delay and detection of wormhole attack.
Performance Analysis of Dimensionality Reduction Techniques in the Context of Clustering
Authors: Sudha T. , Nagendra Kumar P.
Published: August 2021

Data mining is one of the major areas of research. Clustering is one of the main functionalities of datamining. High dimensionality is one of the main issues of clustering and Dimensionality reduction can be used as a solution to this problem. The present work makes a comparative study of dimensionality reduction techniques such as t-distributed stochastic neighbour embedding and probabilistic principal component analysis in the context of clustering. High dimensional data have been reduced to low dimensional data using dimensionality reduction techniques such as t-distributed stochastic neighbour embedding and probabilistic principal component analysis. Cluster analysis has been performed on the high dimensional data as well as the low dimensional data sets obtained through t-distributed stochastic neighbour embedding and Probabilistic principal component analysis with varying number of clusters. Mean squared error; time and space have been considered as parameters for comparison. The results obtained show that time taken to convert the high dimensional data into low dimensional data using probabilistic principal component analysis is higher than the time taken to convert the high dimensional data into low dimensional data using t-distributed stochastic neighbour embedding.The space required by the data set reduced through Probabilistic principal component analysis is less than the storage space required by the data set reduced through t-distributed stochastic neighbour embedding.
Novel Classification Scheme for Multi Agents
Authors: Shaik Mohammed Ali , Praveen P. , Vijaya Prakash R.
Published: August 2021

Multi agent is that the broader space that is developing at a fast pace towards analysis and development of distinct vary of topics. These areas agitate numerous methodologies towards the agent style and comprehensive classification theme. During this paper we tend to establish major mode aspects of software package agents, then provides an summary of existing ontologies, and combines the most effective aspects of those themes to propose a brand new classification scheme. So as an instance the classifications, the JACK Intelligent Agents design is delineate within the context of the theme.
The Methodology of N-Version Programming
Authors: Kuna Phalguna Rao
Published: August 2021

Software Fault Tolerance is evolved as a technique to increase the dependability of computing systems. Because of limitations with producing of error free software, Majority of software errors are design faults. The root cause for software design errors is the complexity of the problem domain. Software Fault Tolerance (SFT) has become an important concern A number of Fault Tolerance techniques designed at minimizing the effect of software faults are being investigated. An N-version software (NVS) unit is a fault tolerant software unit that depends on a generic decision algorithm to determine a consensus result from the results delivered by two or more member versions of the NVS unit. Results of five consecutive experimental investigations are summarized, and a design paradigm for NVS is presented. In this paper, a critical review of NVP is presented. The advantages, current challenges, and further research areas of NVP are discussed.
Robust and Secure Framework for Mobile Cloud Computing
Authors: Alava Pallavi , Radhika G.
Published: August 2021

Smartphone devices are widely utilized in our daily lives. However, these devices exhibit limitations, like short battery lifetime, limited computation power, small memory size and unpredictable network connectivity. Therefore, various solutions have been projected to mitigate these limitations and extend the battery period of time with the employment of the offloading technique. In this paper, a unique framework is projected to offload intensive computation tasks from the mobile device to the cloud. This framework uses Associate in Nursing improvement model to work out the offloading decision dynamically supported four main parameters, namely, energy consumption, CPU utilization, execution time, and memory usage. Additionally, a new security layer is provided to shield the transferred data within the cloud from any attack. The experimental results showed that the framework will choose an acceptable offloading decision for various forms of mobile application tasks whereas achieving important performance improvement. Moreover, different from previous techniques, the framework will defend application knowledge from any threat.
Application of IPF to Achieve CSR Routing in Adhoc Networks
Authors: Sreejith Vignesh B. P.
Published: August 2021

Wireless sensor network (WSN) comprises of sensor nodes that requires resource optimized routing techniques for efficient data collection. Since data collection consumes more energy, it is of great importance to design resource optimized routing to achieve both resource and routing efficiency together. In this work, a resource optimized routing method called Channel State Responsive Routing protocol using Intensity Probable Field (CSRR-IPF) is proposed. CSRR-IPF minimizes energy consumption and prolong network lifetime using Intensity Probable Field based on channel state. The goal of this Intensity Probable Field is to make efficient data collection at the sink node at the same time to achieve efficient routing among neighbors. The Intensity Probable Resource Optimized model limits the node movements by maximizing the minimum energy cost so that the energy of nodes in the entire network is balanced and therefore prolonging the network lifetime. With the Intensity Probable Resource Optimized model, Channel State Responsive Routing Protocol is designed that aggregates the collected data improving the routing efficiency. The performance of the proposed CSRR-IPF is evaluated in the context of energy consumption, network lifetime and routing time with respect to per node density and per data packet basis. The research results are analyzed and benchmarked against the state-of-the-art methods. Simulation results show that the algorithm show a significant improvement and extends the network lifetime, has good performance on energy balance of sensors, and prolongs the network lifetime compared with similar algorithms.
An Innovative Performance of Refuge using Stowage Main Servers in Cloud Computing Equipment
Authors: Ravichandran S. , Sathiamoorthy J.
Published: August 2021

Distributed computing has been imagined as the cutting edge engineering of IT Enterprise. It moves the application programming and information bases to the incorporated enormous server farms, where the administration of the information and administrations may not be completely dependable. There are various security issues for distributed computing as it envelops numerous innovations including networks, information bases, working frameworks, virtualization, asset planning, exchange the board, load adjusting, simultaneousness control and memory the executives. Putting away information in an outsider's cloud framework causes genuine worry over information secrecy. Hence, security issues for a large number of these frameworks and advancements are material to distributed computing. We propose a key worker encryption conspire and incorporate it with a decentralized deletion code with the end goal that a safe conveyed stockpiling key framework is defined respectively.
Study of Black Cotton Soil Characteristics with Molasses
Authors: . S. Vinodhkumar , . A. Kabilan , . A. Kabilan
Published: August 2021

Civil engineering structure resting on expansive soil needs more attention since it causes undesirable engineering behavior when the soil comes in contact with water. The areas consisting of expansive soil need a proper stabilization method to solve the site problems faced by the civil engineers. Pavements constructed on such soil shows signs of damage continuously during the service life of the pavement eventually increase the maintenance costs. Stabilization of this soil is a usual practice for improving the strength. In this work an attempt was made on the utilization of Molasses with soil by adding various percentages of 5, 7.5, 10, 12.5 and 15% in soil and accessed their geotechnical behavior for different curing periods. The effects of Molasses treatment on the strength improvement of compacted expansive clays are studied based on Unconfined Compression tests for different curing periods of 0, 7 and 14 days. UCS performed on these mixes and identified that addition of Molasses attained high strength with the increasing percent of Molasses in soil. From the test results, it was observed that the UCS peak value were increases to 160%. From the experimental study, it is observed that the treatment of the expansive soil with the addition of Industrial waste material Molasses is more efficient in subgrade modification and other geotechnical applications.
Experimental Study on Effect of Varying L/D Ratios of Steel Slag Columns on Bearing Capacity of Soft Clay
Authors: . K. Vaitheswari , . S. Sathyapriya
Published: August 2021

Rapid urbanisation and growth of infrastructure in the present days resulted in dramatic increase in demand for land space. Presence of soft clay deposits in construction sites poses major problems to the structure resting on it during or after construction. A different approach for stabilization has been obtained by incorporation of steel slag columns, which is a by-product of steel manufacturing industry. Straight shafted granulated steel slag column group was adopted for which the ultimate load carrying capacity was derived from the lateral resistance offered by the surrounding soil. Floating type steel slag columns resting on soft clay layer was arranged in equilateral triangular pattern. This pattern of arrangement was preferred as it was known to provide a more uniform consolidation between columns as per IS 15284 (part 1).Well graded granulated steel slag of size range 2mm-10mm with specific gravity 3.57 and moisture content 2.76% was used. It also had an abrasion value, impact value and crushing strength of 5.47%, 27.75 % and 39.38% respectively. A comparison was made between unreinforced and reinforced soil and variations in bearing capacity and settlement was determined for different L/D ratios. L/D ratios of 3, 5, 6, 8, 10 for steel slag columns has been adopted .Settlement reduction factors for reinforced clay bed was found to be 1.75, 1.85, 2.53, 4.1, 6.1 times of unreinforced clay soil for the L/D ratios of 3, 5, 6, 8, 10 respectively. The bearing capacity factor Nc was obtained as 5.51, 9.09, 12.670, 15.71, 20.26, 24.83 for different L/D ratios of 3, 5, 6, 8, 10.
Study on Steel Fibre Reinforced Self Compacting Concrete
Authors: Venkateshwaran A. , Nandhini K.
Published: August 2021

Self Compacting Concrete (SCC) consists of a higher amount of fine content and admixtures, thus eliminating the time for compaction and labour cost. Micro silica is a by-product of the industrial manufacture of ferrosilicon and metallic silicon that is been made in high-temperature electric arc furnace. The ferrosilicon is drawn from 2000°C furnace, thus after when it cools down, the particles are condensed and are trapped in huge cloth bags. The condensed fume is processed by removing impurities and thus micro silica is being formed. Micro silica, as a waste by-product, being used for land filling, instead it can be used as an additive to concrete. The overall weight of the concrete increases up to 15 percent, thus increasing the unit weight of concrete. In addition, nano silica and steel fibres have been used to improve the strength and durability of concrete. Addition of silica to a concrete mix alters the cement paste structure. The resulting paste contains more of the calcium-silicate hydrates and less of the easily soluble calcium hydroxides. Due to its smaller size particle distribution, they disperse among and separate the cement particles. In the present study, different mix ratio using micro silica, nano silica and steel fibres has been prepared to study the fresh and hardened properties of SCC respectively.
Experimental Studies on Fibre Integrated Lightweight Concrete Frames Under Lateral Forces: A Review
Authors: . M. Muthulakshmi , . M. Vinod Kumar
Published: August 2021

Reinforced Concrete (RC) framed structure with masonry infill is the most common type of building in which, RC frames participate in resisting lateral forces. The poor performance of RC frame buildings under lateral forces is due to its heavy mass and rigid construction. Use of Lightweight concrete (LWC) is preferred since the dead load of concrete is enormous. A low density of the LWC, decreases the weight of the building thus reducing the effect of lateral forces. However, LWC having a lower modulus of elasticity, has a faster rate of crack development in RC members. So, fibres are employed as an additive to increase the energy absorption capacity and to control the crack development. Pumice is a natural material of volcanic origin, has low density, which makes it ideal for production of LWC. Based on these ideas, Pumice aggregate is used as a partial replacement of coarse aggregate to its volume with addition of steel fibres to the volume of concrete. This paper summarizes the collected literatures related to RC frames, LWC, Fibre Reinforced Concrete (FRC) and thereby attempts to predict the lateral load response of RC portal frame with the use of LWC and Steel fibres.
Mechanical Properties of Self-Compacting Geopolymer Concrete Using Fly Ash and GGBS
Authors: . S. Thirupathiraj
Published: August 2021

Cement is the core content for the concrete mix. Manufacturing of cement causes CO2 emission which leads to the pollution, health and environmental problems like global warming to control over the adverse effect we can prefer geopolymer concrete which is not a cement concrete. Factory wastes such as fly ash, ground granulated blast furnace slag (GGBS), silica fume and Metakaolin can be used as alternate for cement. This study mainly focus on the ratio of fly ash and ground granulated blast furnace slag (GGBS) for optimum levels which nearly matches the cement concrete properties. This study involves the various tests like slump flow, compression testing, split tensile strength and flexural strength of self-compacting geopolymer concrete. Self-compacting concrete is a highly flowable concrete that spreads into the form without the need of mechanical vibration. Self-compacting concrete is a non-segregating concrete that is placed by means of its own weight. The advantages include improved constructability, Labour reduction, bond to steel, Flow into complex forms, reduced equipment wear etc. The aim of this study is to achieve an optimum self-compacting concrete geopolymer concrete mix proportion using fly ash and ground granulated blast furnace slag (GGBS). Then the study will be further extended by investigating the durability properties of self-compacting geopolymer concrete.
Selection of Inductor and Snubber Capactor to Optimize the Size and Efficiency of DC-DC Switching Power Converter
Authors: Mahesh Gowda N. M. , Parthasarathy S. S.
Published: August 2021

This paper presents a selection of inductor and snubber capacitor in non-isolated synchronous DC-DC switching power converter. The circuit is made to operate in Synchronous Discontinuous Conduction Mode (SDCM)/Forced Continuous Conduction Mode (FCCM) of operation for minimum inductor value, to reduce the size, weight and cost of the converter. The turn off loss of the switch induced by SDCM of operation is minimized by connecting snubber capacitor across the transistor switch. Before the switch is turned ON, snubber capacitor requires certain amount of energy must be stored in the inductor to discharge the capacitor energy [1]. The question is how much capacitor and inductor value is required. A series of MATLAB script are executed to find minimum inductor value for FCCM of operation and to select snubber capacitor for maximum efficiency. Complementary gate signals are used to control the ON and OFF of main and auxiliary switch. SDCM of operation due to complementary control gate signal scheme, minimum turn on loss of the transistor switch and low diode reverse recovery loss are achieved. Thus the Zero Voltage Resonant Transition (ZVRT) of transistor switch is realized, both turn on and turn off loss is minimized and also removes the parasitic ringing in inductor current.
Experimental Studies on n-Octane and Cyclohexane as Organic Solvent for Synthesis of Polyurea Microcapsules by Interfacial Polycondensation
Authors: Christian Ujvala P. , Wagh Shrikant J.
Published: August 2021

Interfacial polycondensation (IP) is one of the most important step polymerization technique used for synthesis of polyurea microcapsules. IP reaction between diamine and diisocyanate monomers which are soluble in aqueous phase and organic phase respectively is very fast therefore the overall process of polyurea synthesis via interfacial polycondensation, by and large, mass transfer controlled reaction. Selection of proper organic solvent is one of the important parameter for IP reactions. The objective of this experimental work was to study the effect of n-Octane and Cyclohexane as an organic solvent on kinetics of polyurea microcapsules synthesized by interfacial polycondensation reaction. In this reaction system IP reaction occurs on organic side of the interface so reaction rate increased with increase in relative polarity of organic solvent. Characterization of polyurea was carried out by XRD and DSC which demonstrated that semi crystalline polyurea microcapsules with good thermal stability were synthesized.
Parametric Study of Machining on EN31 and EN19 Alloy Steels in WEDM to Analyze the Effect on Surface Roughness
Authors: Singh Ramandeep , Kumar Ashok
Published: August 2021

Wire EDM can machine hard materials as well as alloys. Thus this study aims to analyze the effect of process parameters in WEDM on EN31 and EN19 alloy steels. The parameters selected for the optimization were Work material, Pulse on Time, Pulse off Time, Current, Voltage and Wire Feed for improvement in surface roughness. Taguchi L18 Orthogonal array was used for the best combination of experiment. The output responses were analyzed by ANOVA (Analysis of variance). The ANOVA result indicated that there is a significant effect on improvement in surface roughness when machining with all these six input parameter and coated wire. According to the present investigation, voltage was found to be the most significant factor followed by Ton and current, which affect the improvement in surface roughness.
Factors Influencing University Students’ Performance: A Comparison of Faculties’ Assumptions with Students’ Perceptions
Authors: Gajghat Radheshyam H. , Handa Chandrahas C.
Published: August 2021

In the previous research, it was proved that there were so many factors like students’ personal characteristics, family background, learning habits, previous academic background, college environment etc. which influence directly or indirectly the performance of college students in their university examination. The number of such factors has been identified by studying the previous work carried out by different researchers in different geographical areas and boundaries of the world. In many researches, when the opinions of the students and teaching faculties has been taken for similar factors to know the importance of these factors, the significant differences was found in their opinion for some factors. This paper investigates and compares the faculties’ assumptions with the students’ perceptions for various influencing factors. The comparison is done on the basis of their ranking of mean values of the factors allocated by students and faculties independently as per the importance of factors and one way ANOVA is used to check the significance of differences in their opinion. The result shows that there are similarities in the opinions of both, faculties and students, for most of the factors. But for some factors the significant differences in their opinion is also observed. The result of this research can be used for enhancing the performance of students by improving the influencing factors rank-wise. Top ranked factors may be given higher priority. Also this study will provide a platform for continuing the debate on the importance of various influencing factors for engineering students.
Mechanical and Biodegradation Behaviour of Jute/ Polylactic Acid Green Composites
Authors: Singh Jai Inder Preet , Singh Sehijpal
Published: August 2021

Global warming, diminution of fossil fuels, escalating oil price’s are the major reasons which forces the researchers to develop green products for the sustainable development. In this research work, green composites have been developed with jute fibers as reinforcement and poly lactic acid as matrix material using compression moulding technique. All composites were developed with maintaining the reinforcement as 30% fiber volume fraction. The influence of curing temperature with the range of 160°C, 170°C and 180°C was investigated for various mechanical properties of developed composites and degradation behaviour of developed composites were analysed using soil burial test. Results acquired from the tests specify that the tensile and flexural strength decreases with upsurge in curing temperature. Morphology study using scanning electron microscopy is further justified the findings obtained from mechanical tests. Biodegradation study was done on the all the three different composites under the soil burial conditions for 9 months and results indicate that composites developed at 160°C degrade faster as compared to others. This study also gives an optimum curing temperature for the development of jute/PLA composites.
Data Mining Approach in Retail Knowledge Discovery and Internet Technologies
Authors: Kaur Simranjit , Baghla Seema
Published: August 2021

Online shopping has a shopping channel or purchasing various items through online medium. Data mining is defined as a process used to extract usable data from a larger set of any raw data. The data set extraction from the demographic profiles and Questionnaire to investigate the gathered based by association. The method for shopping was totally changed with the happening to internet Technology. Association rule mining is one of the important problems of data mining has been used here. The goal of the association rule mining is to detect relationships or associations between specific values of categorical variables in large data sets.
Behaviour of Thermal Power Plant Boiler Support Steel Structure under Seismic Excitations
Authors: . R. Arun Kumar , . C. Umarani
Published: August 2021

Static and dynamic analysis of a thermal power plant boiler support steel structure is carried out to study its behaviour and responses. Non-Linear Time History Analysis (NLTHA) method is adopted to study the behaviour and response of the structure in addition with Equivalent Static Analysis (ESA) and Response Spectrum Analysis (RSA) methods using SAP2000 software application. Though NLTHA method is not used extensively in Indian boiler support structure design practices, in the present study, an attempt is made to study about the realistic behaviour and performance of boiler support steel structure using NLTHA. Three different ground motions are used for analysing the boiler support steel structure with compatible scale factors and during the analysis, behaviour of the structure under different seismic excitations are usually compared in terms of [5] load-deflection, moment-rotation, moment-curvature and stress-stain relationships. Hence it is found that NLTHA method provides more accurate and dynamic results compared to the ESA and RSA methods. Various seismic demand parameters like mode shapes, displacements, drifts, base shear forces, floor accelerations and floor response spectra curves are presented in the results to understand the behaviour and response of the boiler support steel structures during the seismic excitations.
Association Rule Mining for Intrusion Detection System: A Survey
Authors: Selvamani D. , Selvi V.
Published: August 2021

Many modern intrusion detection systems are based on data mining and database-centric architecture, where a number of data mining techniques have been found. Among the most popular techniques, association rule mining is one of the important topics in data mining research. This approach determines interesting relationships between large sets of data items. This technique was initially applied to the so-called market basket analysis, which aims at finding regularities in shopping behaviour of customers of supermarkets. In contrast to dataset for market basket analysis, which takes usually hundreds of attributes, network audit databases face tens of attributes. So the typical Apriori algorithm of association rule mining, which needs so many database scans, can be improved, dealing with such characteristics of transaction database. In this paper, a literature survey on the Association Rule Mining has carried out.
Anti-oxidant and Anti-inflammatory Properties of Stem and Root Extracts of Cissus quadrangularis (Veldt Grape)
Authors: Kumar Dinesh , Guna R. , Abbirami E.
Published: August 2021

Free radicals are unstable, highly reactive molecules, creates oxidative stress in our body by attacking healthy cells and tissue biomolecules. They are usually neutralized by the antioxidant mechanisms in our system. When the antioxidant mechanism fails to stabilize the radicals, we need external antioxidants to protect our cells from oxidative damage. The objective of present study is to evaluate the antioxidant and anti-inflammatory properties of stem and root extracts of the plant Cissus quadrangularis. Stem and root powders of CQ was extracted with different solvent and they were tested against the synthetic free radical DPPH, ABTS, NO, H2O2 and FRAP with the reference standard BHT. The in vitro anti-inflammatory activity assay was also performed for all the extracts along with the reference standard naproxen. The 50 percentage of inhibitory concentration (IC50-μg/ml of extract) values of ethanol fraction from both stem and root extract was found to be in DPPH- (IC50: 32±0.07 & 28±0.02), ABTS- (IC50: 115±0.22 & 120±0.06), NO- (IC50: 13±0.05 & 47±0.13), H2O2- (IC50: 21±0.08 & 28±0.09), TAA- (PI: 73±0.16 & 66±0.22) and the protein denaturation assay showed the ethanol fraction has protective activity levels of 220±0.03 & 277±0.22 in stem and root extracts respectively. Results obtained from this study suggested that both stem and root extracts of CQ possesses potential antioxidant and anti-inflammatory properties.
Computation of Risk Severity of the Malicious Node using Adaptive Neuro Fuzzy Inference System (ANFIS)
Authors: Dharmarajan R. , Thiagarasu V.
Published: August 2021

The Intrusion Detection System (IDS) can be employed broadly for safety network. Intrusion Detection Systems (IDSs) are commonly positioned alongside with other protecting safety mechanisms, such as authentication and access control, as a subsequent line of defence that guards data structures. In this paper, Adaptive Neuro Fuzzy Inference System has utilized to predict the risk severity of the malicious nodes found the previous classification phase.
Study of Effect of Altered Piezometric Heads in Experimental Investigation of Bernoulli’s Equation
Authors: Wazeer Adil , Dubey Kaushalendra Kumar
Published: August 2021

Bernoulli’s equation is found to be one of the most popular topics of the elementary physics. The paper presents the experimental behavior of the famous Bernoulli’s equation when the piezometric heads are altered and varied with respect to the heads 10cm and 15cm. The value of h in centimeters have been recorded in altered time periods and heads and in all the nine tubes. The calculation of the total energy (E) by changing the heads is obtained and the results achieved while equating the graphs between the total energy and distance from the reference point by changing the heads has been computed.
Ecofriendly Decolorisation of Textile Waste Water Using Natural Coagulants
Authors: Sasirekha P. , Shankar Krishna S. , Vembukumar S. , Vignesh L.
Published: August 2021

The Process of production of textile or wet treatment and finishing processes of textile materials are huge consumers of water with high quality. As a result of these various processes, considerable amounts of polluted water are released. The project emphasis on the problem of environmental protection against waste water generated by the industry. The selection of the purification method depends on the composition and types of waste water. Plant extracts are used as natural coagulants for decolorizing the dye effluents. Removal of toxic substance from the discharged effluent is paramount. Chemical treatment techniques are effective for color removal but require more energy and expensive than biological process. They contaminate the environment and require additional cost for disposal.
A Signature Based Intrusion Detection System with HPFSM and Fuzzy Based Classification Method (IDSFSC)
Authors: Latha S. , Prakash Sinthu Janita
Published: August 2021

Securing a network from the attackers is a challenging task at present as many users involve in variety of computer networks. To protect any individual host in a network or the entire network, some security system must be implemented. In this case, the Intrusion Detection System (IDS) is essential to protect the network from the intruders. The IDS has to deal with a lot of network packets with different characteristics. A signature-based IDS is a potential tool to understand former attacks and to define suitable method to conquest it in variety of applications. This research article elucidates the objective of IDS with a mechanism which combines the network and host-based IDS. The benchmark dataset for DARPA is considered to generate the IDS mechanism. In this paper, a frame work IDSFSC – signature-based IDS with high pertinent feature selection method is framed. This frame work consists of earlier proposed Feature Selection Method (HPFSM with Enhanced Artificial Neural Network (EANN) for classification of nodes or packets in the network, then the signatures or attack rules are configured by implementing Association Rule mining algorithm and finally the rules are restructured using a pattern matching algorithm-Aho-Corasick to ease the rule checking. The metrics classification accuracy, False Positive Rate (FPR) and Precision are checked and proved the proposed frame work’s efficiency.
A Comparative Study of Swarm Intelligence-Based Optimization Algorithms in WSN
Authors: Hussein Aya Ayad , Abd Khalid Rajaaaldeen
Published: August 2021

Global warming due to greenhouse gases has become a serious global issue. Extensive efforts are being made to fighting this phenomenon through carbon capture as carbon dioxide (CO2) is its major contributor. This study focused on CO2 capture in packed bed column reactor using Poly-(D) glucosamine under the various process parameters such as temperature, feed flow rate and mass of the adsorbent. Statistical design of experiments was carried out in order to analysis the effect process parameters on the capacity of CO2 capture in packed bed column. The obtained results show that feed flow rate has the significant affect compared to others. The maximum of 956 mg of CO2 is captured under the following operating conditions; temperature of 40oC, feed flow rate of 30 ml/min and 0.25 g of the Poly-(D) glucosamine. The ability of Poly-(D) glucosamine to capture the CO2 in packed bed column is confirmed.
A Study on Product Diversification Strategy Adopted by Colgate Contributes to its Brand Loyalty
Authors: Kanodia Yashasvi
Published: August 2021

“If people believe they share values with a company, they will stay loyal to the brand.” This statement by Howard Schultz carries profound truth in it. In order for any brand and its products to be successful in the market, they should be able to satisfy their consumers. Customers can be retained only when the company identifies the behavioral purchasing patterns of the consumers in a world constantly stuck among changing trends, technology and lifestyle. The purpose of this research study is to investigate the direct relationship between the unique selling methods adopted by Colgate and their diversification in the products that they offer and their combined effect on brand loyalty. This paper provides a preliminary understanding of the various factors that have contributed to the brand loyalty of Colgate over the decades and why people still continue to trust the brand despite having the discretion to switch to rival brands at almost similar prices.
The paper highlights the significance of the effect of brand loyalty on the sale of its products and how by adopting different marketing strategies, brands can retain old customers and attract new ones.
Cloud Computing Vis-à-Vis Agricultural Development towards Digital and Smarter Agricultural Informatics Practice
Authors: Paul P. K. , Sinha R. R. , Aithal P. S. , Saavedra Ricardo , Aremu Bashiru , Mewada S.
Published: August 2021

Cloud computing is an emerging and technologies within the Information Technology field and also technological era. Cloud Computing is used in almost all sectors, fields, organizations and institutions; where Information Technology is used. Cloud computing deals with the delivery of computing infrastructure, application and many need based collaboration viz. hardware, software, networks, storage, interfaces as a service by the internet and similar systems. Cloud Computing is also known as virtualization technology as it supports from the remote places depending upon the needs of the users and from the centralized unit and systems. It also allows healthy computing services including storage, memory, processing with many advantages and facilities with several platforms; hence it is become widely recognized around the world. Most importantly also offers many add on facilities with low cost implementation for the infrastructure. Cloud Computing enables payment depending upon the need of the organization, client and institutions, and facilities offered. It also acts as virtual hardware and also provides elasticity, network based services. Among the stakeholders of Cloud Computing; the most important are growing is Agriculture Sectors. It is useful in pre production and post production of the agricultural systems. This paper talks about the basics of Cloud computing including current and future applications in agriculture and allied domains. Paper also deals with the issues, challenges of Cloud computing in agro and allied domain in brief. Paper also suggested few concerns on Cloud Computing application in smarter agriculture dealing and Agriculture Informatics is also been provided, herewith.
Consistency of University Internship Program in the Philippines
Authors: Micabalo Kingie G. , Montilla Ryan D. , Cano Jesszon B.
Published: August 2021

Internship Program is intended to give understudies an occasion to supplement essential learning with handy information, abilities, and alluring mentalities and to pick up hands-on involvement with perceived Host Training Establishment. This investigation assesses the degree of Realization on Internship Program in a University. The investigation respondents were the 247 understudies, utilizing the descriptive method and survey questionnaire on a simple random sampling. Frequency and simple percentage and Mode were used to dissect and decipher the information assembled. The discoveries uncovered that interns Highly Realized the Guidelines for Higher Education Institution, Guidelines for Student Interns, and Guidelines for Host Training Establishment revealed a Realized interpretation on the Guidelines for Student Interns Coordinator/ Adviser. It concluded that the Internship Program should concoct a firmly checked framework and being continued now and again dependent on the necessities caught by the understudies on each separate program. The system used does not guarantee effectiveness, for there should be a comparison between statistical and practical approaches. Personality Development Seminar, Work Ethics, and Sexual Harassment and Pre-Internship Seminar and Orientation might be executed to upgrade the understudies’ information, aptitudes, and estimations to deal with pre-employment status.
Examining Saffron Income and Choice of Marketing Channel Connection
Authors: Qadri Binish
Published: August 2021

The study identified the marketing channels involved in the marketing of saffron and revealed grower preference to various marketing channels. Furthermore, it found that the choice of marketing channel depends on income of the saffron grower. The primary data was collected from the respondents (201 saffron growers, 6 dalals and local traders, 17, retailers/wholesalers and 5 firms) in the three selected villages of Pampore namely Letpora, Ledhu and Konibal based on interview schedule framed in accordance with the objectives of the study. Proportional sampling framework was followed for selecting the respondents of the study. The chi-square test for association has been used to find the relationship between two categorical variables which in case of present study is income and channel.
An Empirical Assessment of Transformational Leadership in Institutions of Higher Learning
Authors: Mufeed Umar
Published: August 2021

The purpose of this paper is to examine the perception of employees towards transformational leadership prevailing in sample select universities. The respondents in this study comprise of 169 teaching and 97 non- teaching staff selected from four universities of North India. Multi factor Leadership questionnaire (MLQ- 5x) developed by bass and Avolio (1995) was employed to gather the responses from the respondents. The data collected were analyzed using descriptive and inferential statistics. The results of the study revealed that there prevails a favorable perception among employees regarding transformational leadership practices. Teaching staff have showed higher satisfaction towards existing transformational leadership practices as compared to non-teaching staff. The study suggests that academicians and policy makers must promote transformational leadership style in order to improve employee delivery and enhance institutional performance in sample select universities.
2 and 3 Tier Structure of Co-operative Credit (CC) in India: Current Status, Issues and Challenges
Authors: Selvaraju P.
Published: August 2021

Co-operative banks in India have come a long way since the enactment of the Agricultural Credit Co-operative Societies Act in 1904. The century old co-operative banking structure is viewed as an important instrument of ba62nking access to the rural masses and thus a vehicle for democratization of the Indian financial system. Co-operative Banking is an agency which, in the words of Henry Wolff , “is in a position to deal with small man on its terms, accepting his security he has and without drawing on the protection of the rich, that the agency must not be channel for pouring charity or subsidizing the small man out of the public funds, instead, the material help must be backed by moral improvement and strengthening of the fiber”. Today, short term co-operative credit structure has 32 state co-operative banks and 371 district central co-operative banks operating through 14907 branches. There were 92,996 Primary Agricultural Credit Societies (PACS) as on March 31, 2014 at the grass root level catering to the credit requirements of the members but also providing several non-financial services like input supply, storage and marketing of produce, supply of consumer goods, etc. The journey has not been smooth for the co-operative banking structure. This analysis has been made based on the various data given by Reserve Bank of India (RBI) to trace out the current trend of the co-operative credit institutions also includes the issues and challenges of the two and three tier credit structure of co-operative credit.