bluuebunny/crossref_metadata_2025 huggingface dataset:
Reduce The Handoff Failure By Implementing Two WLAN In Handoff Region
Authors:   Assistant Professor in Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India., Sarddar Dr. Debabrata , Hassan Mr. Noor ,   BCA Department of Computer Science and Engineering, West Bengal University of Technology, India., Das Mr. Pinaki ,   Ph.D. Department of Computer Science and Engineering, University of Kalyani. India., Pandit Mr. Rajat ,   Assistant Professor Department of Computer Science, West Bengal State University, West Bengal, India.
Published: August 2019

The problem of wireless communication is the handoff. That problem mainly shows in the urban area because limited number of Access Point (AP) and the Base Station (BS). Main problem occur when the Mobile Node (MN) are goes to out of the coverage area the MN need to make handoff because the current or old Base Station(BS) does not gives the supports. Effect of this problem is call disconnection or data loss. IEEE802.11 based wireless local area network (WLAN) are widely use to give the supports of personal or commercial basis. In the proposed work the WLAN are placed on the two adjacent cell and they are crossly connected to the BS. This WLAN are used as an AP and that AP are enhanced the signal strength of the region of handoff and increased the area of BS. This WLAN gives the services for the time of degradation until fond the new channel in the new BS or the inside of WLAN area. For this cause the failure of handoff are minimized.
Proposing a New Model for Quality of Service Acceptance
Authors:   Ph.D. in Quality of Service of cloud service in the education industry at the University Technology Malaysia., Bsharat Mr. Marwan , Ibrahim Dr. Othman Bin ,   Associate Professor head of university Technology Malaysia career center, he received PhD in Computation 2004 from University of Manchester Institute of Science and Technology, Malaysia., Bsharat Ms. Sawsan ,   her education in computer science 2009, from Al-Najah National University – Palestine,
Published: August 2019

Quality of service (QoS) has been proofed to be a great significance effect in the utilization of cloud service in higher education institutions (HEI’s), due to having many aspects determine the acceptance level of QoS while providing cloud service, QoS acceptance not given sufficient attention from HEIs and decision-makers. In this research, previous QoS studies are review in this field to identify QoS acceptance variables by review studies for the last 5 years. Thus, with the aim to discover QoS aspects this research intends to develop an integrated model to understand these variables and relationship between QoS acceptance variables, which must be efficiently studied. Hence, the integrated model between TOE (Technological, Organizational, and environmental) and HOT (Human, Organizational, and Technological) theory is presented in this research to be the core contribution. The integrated model helps HEIs to evaluate and explore QoS aspects to increase utilizing of cloud service, improving HEIs efficiency, and help decision-makers to facilitate the acceptance of QoS in HEIs.
Integrated Simulation of Pacemaker and Heart Model with VISSIM
Authors:   M-Tech Department of Electrical Engineering NITTTR, Panjab University., Khurana Nitika , Thakur Dr. Ritula ,   Assistant Professor Department of Electrical engineering National Institute of Technical TeachersTraining and Research, Chandigarh, India.
Published: August 2019

The heart is a muscular pump whose pumping action is controlled by an electrical conduction system. The disturbance in conduction may results in inefficient pumping of blood. To maintain the conduction in rhythm the device known as pacemaker can be used to deliver electrical impulses to heart. The number of heart patients has pacemaker implantation every year. While patient have implanted with pacemaker it is necessary that pacemaker should provide therapy according to the need of patient. But, there may be problems in coordination while patient’s use pacemaker leading to delivery of inefficient pulses needed for heart contractions. In this paper, a simulation tool is proposed aiming to achieve synchronization of heart and pacemaker on basis of heart’s timing properties which help patient adaption to pacemaker. Electrocardiogram is used as input diagnostic signal for evaluation of heart. An integrated simulation of pacemaker and heart model using VISSIM software is proposed for synchronization and optimization of the pacing pulses of pacemaker to check the adaptation of pacemaker by patient.
Enhanced Classifier Accuracy in Liver Disease Diagnosis using a Novel Multi Layer Feed Forward Deep Neural Network
Authors:   Dept of CSE, Aditya Institute of Technology and Management, Tekkali (A.P) India,, Murty Sivala Vishnu , Kumar Dr. R Kiran ,   Dept. of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India.
Published: August 2019

Classification techniques are often used for predicting Liver diseases and assist doctors in early detection of liver diseases. As per studies in the past and our experiments, conventional classification algorithms are found to be less accurate in predicting liver diseases. Therefore, there is a need for sophisticated classifiers in this area. For many medical applications, including Liver Diseases, Deep Neural Networks (DNNs) are used but the accuracies are not satisfactory. Deep Neural Network training is a time taking procedure, particularly if the hidden layers and nodes are more. Most of the times it leads to over fitting and the classifier does not perform well on unseen data samples .We, in this paper, tuned a Multi Layer Feed Forward Deep Neural Network (MLFFDNN) by fitting appropriate number of hidden layer and nodes, dropout function after each hidden layer to avoid over fitting, loss functions, bias, learning rate and activation functions for more accurate liver disease predictions. We used a balanced data set containing 882 samples. The data is collected from north coastal districts of Andhra Pradesh hospitals, India. The training process is carried out for 400 epochs and finally It is .observed that our model exhibited 98% accuracy at epoch 363 which is more than the performance of Neural Network models tuned till now by machine learning researchers and also some regularly used classification algorithms like Support Vector Machines (SVM), Naive Bayes (NB), C4.5 Decision Tree, Random Belief Networks and Alternating Decision Trees (ADT) .
WIPSO, PSO and GA Techniques to Locate UPFC Effectively in Power System to Improve Voltage Stability and Reduce Losses
Authors:   Research Scholar, Dept. of Electrical Engg., Annamalai University, Tamil Naidu, Kuthadi Kiran Kumar , Sridhar Dr. ND. ,   Assoc. Professor, Dept. of Electrical Engg., Annamalai University, Tamil Naidu., Kumar Dr. CH. Ravi ,   Assoc. Professor, Dept. of Electrical Engg., Acharya Nagarjuna University, Andhra Pradesh.
Published: August 2019

The domestic and industrial demand for electricity has been increasing extensively making the power system more expensive. With this increases in demand for electricity, the losses also increase in demand for electricity the losses also increase from power generation to distribution Flexible alternating currents transmission system (FACTS) is used to maintain flexible operation of the power system from power generation level to the distribution level. The reliability of the network system can be enhanced by using FACTs devices in the power system more reliably, the inventions in the advanced power electronics devices can be implemented in the design of FACTs, serices, shunt, serices-shunt and shunt-shunt are some of the FACTs devices. One way to operate the power system with less power losses and improved system voltage profile is to use FACTs. Unified power flow controller (UPFC) is one of the serices-shunt FACTs systems. This paper throws light on how UPFC can be used to improve the voltage profile and reduce the installation cost of UPFC, the system loss, in the electrical power system. Analyst and soft computing methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Weight Enhanced Particle Swarm Optimization (WIPSO) are used to determine ideal FACTs device settings and FACTs device place.
Investors Perception towards Investment Avenues
Authors:   Research Scolar Department Of Management Studies Jntua- Anatapuramu – A.P, Krishna U M Gopal , Sulatan Dr. Aliya ,   Associate Professor Department Of Management Studies Rgmcet – Kurnool District – A.P, Reddy Dr. T Narayana ,   Associate Professor Department Of Management Studies Jntua – Anatapuramu – A.P
Published: August 2019

Investment is the commitment of funds, which have been saved from current consumption with in this hope that some benefits will be received in future. Based on the factors such as Demographic factors, Socio-Economic Background, Life Style, etc.., a lot of investment avenues will be available to the investors for parking their idle funds. Generally the initial step in the Investment process is understanding the objectives of Investment and framing out the investment policy. This may rely on investor’s perception. In this study an attempt has been made to find out the investors perception in primary and popular investment avenues in Kurnool District of Andhra Pradesh. From the respondents all Demographic variables and investors objectives have been collected and computing the relationship between these variables and objectives of the investment. Furthermore the study also finds the investor’s investment decision making behaviours in their investment avenues.
ABCIP: Artificial Bee Colony Inspired Protocol for Routing in Flying Ad-Hoc Network
Authors:   Ph.D., Research Scholar, Department of Information Technology, Bharathiar University, Coimbatore, Karthikeyan N. , Vadivel Dr. R. ,   Assistant Professor, Department of Information Technology, Bharathiar University, Coimbatore
Published: August 2019

Flying Ad-hoc Network (FANET) is described as a special kind of ad-hoc network coming under the family of Mobile Ad-hoc Network (MANET). FANETs is characterized to have high range of mobility when comparing with MANET. Setting up the route and maintaining its lifetime is a tedious job in FANET, because the MANET routing protocols that already exist will never fit for FANET because of its increased level of mobility, environmental circumstances and topography structure. There arises a need for bio-inspired based routing protocol to overcome the obstacles. This paper proposes Artificial Bee Colony Inspired Protocol inspired from the bio-inspired concepts. The proposed protocol gradually reduces the level of congestion occurring at different routing path, where it considers the successful route setup and its life time to increase the data delivery. In ABCIP, bee colony is enhanced to analyze and choose the routing path instead of picking up in random. Simulation is carried out using NS2and the results indicates the proposed protocol considerably performs better than the existing protocols in maximizing the successful route setup and its life time, which minimizes the service disruption.
Prediction and Validation of Rainfall Classes for Vaigai River Catchment using El Nino
Authors:   Department of Civil Engineering, Environmental and Construction Technology, Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil - 626126, Tamil Nadu, India., Palanichamy Mahadevan , Narayanasamy Ramaswamy Sankaralingam ,   Department of Civil Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Thiruvarur District - 614403, Tamil Nadu, India.
Published: August 2019

Extraordinary weather patterns are being observed globally during the past 30 years due to climate change resulting in variations in temperature and rainfall. Studies on long-term trend pattern of temperature and rainfall since 1980 distinctly shows a rise in mean temperature and declining rainfall trend. Due to change of climate at global level change, forecasting of rainfall with the conventional statistical analysis could not predict satisfactory results. Among the available processes, the El Niño Southern Oscillation (ENSO) cycle is considered efficient. Statistical analysis was carried out in this study so as to investigate the implication of rainfall data in seven rain gauge stations located in Vaigai River Catchment through the period from 1959 to 2016. ENSO Cycle was used also to predict rainfall for Vaigai River catchment of the Tamil Nadu State, India. Quadratic discrimination analysis (QDA) and Neural Network models are used to identify the class of rainfall classes with reference to ENSO cycle. The patterns recognized on the study area offer constructive information to administrators of water resource management, to implement the same for agriculture, water supply and power generation.
Estimation of Residual Lifetime of Electrolytic Capacitor using Analytical Techniques
Authors:   SEEE, Lovely Professional University, Phagwara, Punjab 144411, India., Bhargava Cherry , Gulati Shivani ,   Lambton College of management and Technology, Ontario ON N7S 6K4, Canada., Sharma Pardeep Kumar ,   SPSS, Lovely Professional University, Phagwara, Punjab 144411, India.
Published: August 2019

In the fast-evolving era of digital electronics, reliability has become a critical issue. Due to failure and faults, the component manufacturers face market reputation degradation as well as financial set back. The condition monitoring for power electronics are based on basic principles; however, by analyzing failure modes of semiconductor devices and exploring appropriate techniques, situation has been improved a lot. From toy to satellite, an electrolytic capacitor is mostly used as an important component. This paper enlightens the estimation of residual lifetime of electrolytic capacitor using analytical techniques, so that these components can be reused and problem of WEEE (Waste of Electrical and Electronic Equipment) can be reduced to a large extent. The residual life of electrolytic capacitor is calculated using various analytical and mathematical technique. Accuracy of empirical standard prediction methods such as military handbook MILHDBK and RIAC217 is compared for the residual life prediction of electrolytic capacitor. RIAC217 plus technique proves to be more accurate than MILHDBK or other standard techniques. By predicting the residual life, the capability of re-use the component increases and problem of e-waste is decreased to a great extent. Thus, the residual lifetime prediction is a critical parameter for successful operation of device as well as safe healthy environment.
Semiautomatic Hosiery Printing Machine
Authors:   Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, K Ananthi , R Priyadharshini ,   Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, P.M Arun Kumar ,   Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, J Indirapriyadharshini ,   Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, V Jaipraba ,   Assistant Engineer, Magnificent Engineers, Coimbatore, India
Published: August 2019

Every industry needs skilled labor to manually operate the machine effectively. But this need may cost high and the production rate will also be low in hosiery printing industries which runs in small scale. This paper introduces semi-automatic hosiery printing machine which helps in reducing the problems faced. The PLC controls the machine and the timings are programmed to make automatic operation. The bottom arm of the machine is moved or rotated using the pneumatic cylinder. Semiautomatic movement is initiated by pedal.Sensors make the notification that all the screens are lifted .This setup is for safety purpose as the supply is given only when the sensors are sensed. This machine will help the industries to increase the production rate without any skilled labors.
Flexural Behavior of Artificially Degraded Steel I Section Externally Bonded With GFRP, BFRP&CFRP
Authors:   Pursuing PhD from VTU Belgavi, (Karnataka), India., Kamane Mr. S K , Patil Dr. N K ,   Professor, Department of Civil Engineering, Sanjay Ghodawat Group of Institutes, Attigre, (Maharashtra), India., Patagundi Dr. B R ,   Professor, Department of Civil Engineering, S G Balekudri Institute of Technology, Belgavi (Karnataka) India.
Published: August 2019

Due to the distinctive advantages such as high strength to weight ratio, high resistance to corrosion and chemical attacks, fiber reinforced polymer (FRP) sheets are widely used for strengthening and repairing of existing steel structures. In last two decades, study has been carried out over the use of FRP for strengthening and repairing of concrete structures. More recently, the use of FRP to strengthen existing steel structures has received much attention. Strengthening and retrofitting is necessary for steel structure after some time because durability and capacity of steel structure get reduced over the time .Conventional strengthening method such as welding of additional steel plate to existing structure result in increase in dead load , also it will undergo corrosion if strengthen structure is placed in corrosive environment. Use of FRP for strengthening and retrofitting of steel structure will be the excellent solution for these disadvantages. The main aim of this paper is to study the flexural behavior of artificially degraded steel I section externally bonded with GFRP, BFRP, and CFRP.
Exploring the Mediating Role of Technology Between Human Realms and Institutional Properties of Organizations with Special Reference to it Industry in India
Authors:   Research Scholar Amity University. A SAP-certified Consultant in ERP-HR , IBM certified Business Intelligence, currently pursuing PHD from Amity University, India., Bali Ms Neetu , Sinha Dr Chandranshu ,   Professor Amity University .D .Phil in psychology ,currently Professor at Amity University , India .
Published: August 2019

With the growing technology influence in to organizations, the study explores the mediating role of technology in organizations. The research framework is based on Giddens Theory of Structuration (1982). The study focuses attention on recognizing the mediating role of information technology between the human realms and institutional properties within organizational contexts. The organizations taken into consideration are from IT Industry .The sample collected is from 100 employees from executive to middle managerial positions. The study reveals that vision collectivism, social collaboration, and functional expertise are the constructs that integrate technology with the social and institutional properties of the organization. The Giddens Structuration Theory for technology has been modified to incorporate the revelations from the study. The study proposes technology as a mediator for integrating independent entities in organization , thus sensitizing to the imperatives of designing a socio- technical systems in organizations for organizational developmental studies in future.
Query Based Text Summarization
Authors:   Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India., Mangalampagti Sindhura , Ponnuru Raveendra Babu ,   Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India.
Published: August 2019

Now a day’s, The advancement of technology implies the large amount of online textual Information, this leads to a need for Text Summarizers which can provide important textual data from large data source like www, into a well-structured document formats. It becomes an alive analysis activity to specify the related data that is retrieved from huge set of documents which are established from various sectors like social media. Text summary is the action of precise the documents by protecting the key concepts of the text. This process can be accomplished via extractive summary and abstractive summary. In this paper, we suggested summarization technique that is to be applied on online information depending upon the User required Document.
Topology Optimization: An Effort to Reduce the Weight of Bottom Centre Pivot
Authors:   Department of Mechanical Engineering, Ambalika Institute of Management & Technology, Lucknow India, Srivastava Prashant Kumar , Simant  ,   Department of Mechanical Engineering, Sagar Institute of Technology & Management, Barabanki, India, Shukla Sanjay ,   Research Design and Standards Organisation, Ministry of Railways, Government of India, Lucknow, India
Published: August 2019

For the growth of any nation, revenue generation is prime concern. Indian railway majorly freight movement plays a vital role in this regard. Focusing on increasing carrying capacity, weight reduction of bogie and its components become prime concern. This requires existingdesign improvement of critical components. In present research work topology optimization is carried out for the design alteration of bottomCentre Bearing plate i.e. Centre pivot using ANSYSinterface. Centre Bearing Plate, an integral component of three piece freight bogie, it balances and transfer various forces generated during motion of the vehicle. Pseudo-density( ) are the design variables assigned to each finite element changes from 0 to 1, represents for removing of the material and represents for retention of the material. Further, design is modified according to the result obtained from iteration performed by FEA tool, resulting approximate weight reduction6.23 .Natural frequencies and their respective mode shapes of initial and modified designs are compared to validate the topology of the designs.
Event Extraction And Classification From English Articles
Authors:   CSE Department, Chaithanya Bharathi Institute of engineering Technology(A), Gandipet, Hyderabad, India., Guda Vanitha , Devi Prof Dr Y.Rama ,   CSE Department, Chaithanya Bharathi Institute of engineering Technology(A), Gandipet, Hyderabad, India.
Published: August 2019

Today’s digital world huge number of information sources like wikis, web, blogs and other sources are creating a lot of information with several events. Basically, an event can be a situation, action or state that can be represented in natural language text in the form of happening or occurrence. Analyzing the event information finding the relation between the events is one of the crucial tasks in information retrieval. In a formal way, the event can be defined as a real-world entity that happens or occur; these are the dynamic occurrences which have causes or effects (E.g. earthquake, floods, crime, etc.). Extracting events, events fall within a timelines extraction can be applied in many of the natural language applications like text summarization, temporal question answering systems, etc. Event extraction and classification can use in other related text searches like News domains, legal documents, wikis, manuscripts, and time-based searches. In this paper, we present a methodology for event extraction in natural language text which helps in finding out the type of an event and classifies the events under specific categories. Our work aims to develop a system which would automatically identify events from articles generated over the internet. The system would not only detect the events but also tried to detect important times of the event. Finally compared the accuracy of work with several classifiers and obtained results shows good accuracy measure for Support Vectors machine (SVM).
Optimal Threshold Based Brain Image Fusion for Brain Cancer Detection using Firefly algorithm
Authors:   ECE, Gudlavalleru Engineering College, Gudlavalleru, A.P, India., Srikanth M.V. , Prasad V.V.K.D.V. ,   ECE, Gudlavalleru Engineering College, Gudlavalleru , A.P, India., Prasad K.Satya ,   RECTOR, Vignan University, Guntur, A.P, India.
Published: August 2019

In this paper an attempt is made to diagnose brain disease like neoplastic disease, cerebrovascular disease, Alzheimer disease, fatal disease, Sarcoma disease by effective fusion of two images. Two images are fused in three steps: Step 1.Segmentation: The images are segmented on the basis of optimal thresholding; thresholds are optimized with natural inspired firefly algorithm by assuming fuzzy entropy as objective function. Image thresholding is one of the segmentation techniques which is flexible, simple and has less convergence time as compared to others. Step 2: the segmented features are extracted with Scale Invariant Feature Transform (SIFT) algorithm. The SIFT algorithm is good in extracting the features even after image rotation and scaling. Step 3: Finally fusion rules are made on the basis of interval type-2 fuzzy (IT2FL), where uncertainty effects are minimized unlike type-1. The novelty of the proposed work is tested on different benchmark Image fusion data set and proved better in all measuring parameters.
Experimental Research on Improvement of Battery Reliability
Authors:   Department of Mechanical Engineering, S.V.Govt.Polytechnique, Tirupati(A.P), India., Subbaiah Dr.G.V. , Kumar Dr.P.V.Sanjeeva ,   Department of Mechanical Engineering, Annamacharya Institute of Technology & Sciences, Rajampet(A.P), India., Hemavathi P. ,   Department of Mechanical Engineering, S.V.Govt.Polytechnique, Tirupati(A.P), India.
Published: August 2019

The heat control and maintenance of batteries is essential for effective operation of UPS in harsh environmental condition since battery working reliability ,performance, durability and its economy is directly related to the environmental temperature and air flow around batteries .Therefore, ideally, batteries should be use within its comfortable temperature range to get its optimum performance. Compact design of Batteries in enclosed environments necessitates thermal management of the battery system for optimum life and performance. This invention proposes an efficient vapour compression refrigeration system to effectively cool the batteries and maintain optimum battery surface temperature of 25 °C for better performance and extended battery life at 40°C external ambient temperature. Moreover Silica gel based Solid desiccant wheel is used to absorb moisture from air so that condensation in the battery cabinet can be minimized .Computational fluid dynamics and heat transfer simulation was performed to devise a initial concept. Experimental validation of the prototype was made to verify simulation results and actual temperature distribution.
Stemming and Lemmatization of Tweets for Sentiment Analysis using R
Authors:   Ph.D pursuing from Shobhit University, A.P. at M.I.E.T. ,Meerut, India, Sharma Swati , Bansal Dr. Mamta ,   C.S. , Shobhitt University, Meerut, India.
Published: August 2019

In our digital India, the use of social media like twitter, blogs and various forums is growing with the rapid rate. Thus the size of the data is becoming big day by day and in the span of this type of high varied and volume data, manual analysis would be a clumsy job. So, there is an alarming rate to analyze that large amount of data to make it suitable for analysis purpose. As a most elaborate open source platform, R has immeasurable user communities that thrives and perpetuate a huge amount of text analysis packages. So, in this paper we are analyzing movie related tweets using machine learning in R.
GIS Based Mapping of Optical Fiber Cable in a Part of ALWAR District, Rajasthan, India
Authors:   Department of Centre for Climate Change and Water Resource, from Suresh Gyan Vihar University, Jaipur, India., Sharma Saurabh , Singh Dr. Suraj Kumar ,   Department of Centre for Climate Change and Water Resource, from Suresh Gyan Vihar University, Jaipur, India., Mishra Dr. Varun Narayan ,   Department of Centre for Climate Change and Water Resource, from Suresh Gyan Vihar University, Jaipur, India.
Published: August 2019

In digital era, internet is an essential component of human being. The population of Alwar district is using internet resources and technology in abundance. But in recent years, it experienced a huge development in technology that reached to dark zone. In this work, we have studied internet facility based on Gram Panchayat levels to spread fiber optical cable for its accessibility to daily users. We have identified fiber optical cable with fault detection based on joint activity of cable and splitter in order to map issues using GIS platform. The Fiber Fault Localization System (FFLS) operates on ensemble of algorithms that maps, extricates, correlate and localize the fault by utilizing geographic data with remote sensing images. Centralized fiber fault localization requires (Optical Time Domain Reflectometer) OTDR to be integrated at OLT. A particular OTDR is obligatory per OLT to provide all the PONs of an OLT.We can used mobile application to capture OLT, ONT, splitter,Joint,BJC,SJC line and other object for identifying actual position of asserts with physical check. In which test fiber line using PON OTDR from one OLT to other connected splitter and ONT in Gram Panchayat.
An Efficient Network Discovery Storage Based Resilient Packet-Forwarding Scheme for the Mitigation of Black Hole and Wormhole Attacks in 6lowpan Sensor Networks
Authors:   Assistant Professor,Dept of ECE,Annamalai University Chidambaram, SUDHAKAR B. , ABHINAYA E.V. ,   Dept of ECE,Annamalai University,Chidambaram
Published: August 2019

In wireless networks 6LOWPAN with the low power wireless devices has limited processing capabilities. In this network, the malicious node attacks at the network layer due to its nature of self configuration and dynamic network formation. It increased number of packet dropping attacks in network layer like Black Hole attacks and Worm Hole Attacks may cause the undesired operations in the time of routing the packet transfer. It degrades the performance of the legitimate users in the network. This work proposes an Efficient Network Discovery Storage Based Resilient Packet-Forwarding Scheme for the mitigation of malicious black hole and wormhole attacked nodes in 6Lowpan Sensor Networks. It also cooperates to manage the storage and prevent packet drop of sensor nodes present in the 6lowpan network.
Enhancement of Low Voltage Ride through Capability for DFIG Based Wind Turbine with STFCL, DVR and Energy Storage System
Authors:   Research scholar, Department of Electrical and Electronics Engineering, Saveetha University, Chennai, India., P Srinivasan , Samiappan Dhandapani ,   Professor, Department of Electronics and Communication Engineering, Saveetha University, Chennai, India.
Published: August 2019

A Switch type fault current limiter in coordination with DVR is presented in this paper for Wind turbine generators that consist of doubly fed induction generators in order to full fill Low voltage ride through requirements in grid systems. The position of in-statement, the simulation and the methods for enhancement of LVRT functioning are represented. Collaborative control between the STFCL and a combination of Reactive power control and Inductance emulating control are used to enable the doubly fed induction generator to generate reactive power and ensure that the system remains safe even during faults in the grid. A different type of fault conditions are examined under both normal conditions and while the proposed system is attached.
Exploring the use of Cactus and Neem Leaf Powder as an Alternative Coagulant in Treatment of Wastewater
Authors:   Department of civil Engineering, M.Kumarasamy College of Engineering, Karur, India., S Rubini , P Balamurugan ,   Department of civil Engineering, M.Kumarasamy College of Engineering, Karur, India..
Published: August 2019

Opuntia and Neem leaf is a natural based bio-coagulation that can be utilized in bio-coagulation process of kitchen used water collected from the college (MKCE). Opuntia (prickly pear) and neem tree leaf (Azadirachta indicia) powder are used as a Bio-coagulant. Jar test was conducted and the treated samples were evaluated for pH, turbidity, hardness. The dosage of the Bio-coagulant utilized in jar apparatus is 0.2 to 1 g/L for both neem leaf and opuntia powder. The dosage for the Bio-coagulant solution utilized is 5 to 25mL/L. When the Bio-coagulant are utilized directly turbidity was reduced to 50%. When Bio-coagulant are partially utilized with alum the efficiency is about 95% for neemleaf powder and 96% for opuntia powder. So the process reduces the consumption of chemical to 50%. Opuntia and neem could be utilized as an effective natural Bio-coagulant since it costs less when compared with chemical coagulant.
Performance Analysis on Hybrid Wireless Mesh Network Topology using Interference Aware Bandwidth Reservation
Authors:   Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., David.D Jasmine , Jayasingh.J Roopa ,   Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India., V Jegathesan. ,   Department of EEE, Karunya Institute of Technology and Sciences, Coimbatore, India., Rock.C Alvino ,   Department of CSE, Karunya Institute of Technology and Sciences, Coimbatore, India.
Published: August 2019

Ubiquitous of modern era which utilises Hybrid Wireless Mesh Network (HWMN) topology which gave birth to ample of modern application which demands reliability, fault tolerance and scalability. HWSN topology utilises minimum of two or multiple standard network architectural topologies, in a fashion that the resultant network architecture doesn’t depict any particular topologies like bus, star or ring but as a combination of any of those standard topologies. Prime motive of the proposed Optimised Channel Assignment Algorithm (OCSA) is which focuses on priority oriented interference minimization for all the trees which are existed, and constraint in terms of delay for evolving tree addition. Interference Aware Bandwidth Reservation (IABR) provides controllability over data flow admission for end-to-end optimal bandwidth accommodation in Multi-Radio Multi-Channel (MRMC) wireless mesh network. Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) utilises disseminated and polynomial-time heuristic oriented assignment in channel to minimize interference in WMN with the awareness of channel priority as a primary consideration. Interference and Priority of the channel are made indirectly proportional to each other. For the channel of high priority the path which has low interference is opted. In PBIABR the whole path delay constraint of tree is sub organised into multiple node, based on delay to identify the best node which embodies minimal interference. Dominant Performance Parameters (DPP) like Throughput, Packet Size, Propagation Interval and Average Energy under HWSN Scenario. All the DPP parameters are analysed for multiple flow parameters for Interference Aware Bandwidth Reservation (IABR) and Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) conditions. Simulation results have been captured using Network Simulator 2 tools for HWSN creation and crafted to same readings as a graph for deep analysis. The proposed simulation results for hybrid scenario highlights a considerable performance hike for the performance parameters like Throughput (bps) vs Packet size (bytes), Average Energy (joule) vs Interval (sec) and Residual Energy (joule) vs Interval (sec) under PBIABR conditions compared with IABR simulation outcome. The results have been analysed for comparative study of each parameter deeply. Inference from the comparative analysis highlights the performance parameters of PBIABR is efficient than IABR.
Dynamic Link Failure Detection using Robust Virus Swarm Routing Protocol in Wireless Sensor Network
Authors:   Ph.D Research Scholar, Department of Computer Science, Dr.N.G.P. Arts and Science College, Coimbatore, India., S Mr.Nithyanandh. , V Dr.Jaiganesh. ,   Associate Professor, Department of Computer Science, Dr.N.G.P. Arts and Science College, Coimbatore, India.
Published: August 2019

Wireless Sensor Networks (WSN) gets weak due to node failures because of different reasons like intervention and faults that arise in communication. These kind of failures makes the entire network failure or disconnect part of the network leading to link failure. Routing protocols are responsible to find the best route to destination, because link failure minimizes the entire quality of service. Hence, there exist a need to find the preeminent route between source and destination which makes the communication in a efficient manner. Optimization started playing a major role in research, specifically in mining and networking issues. This paper aims to propose a optimization based routing protocol namely robust virus swarm routing protocol in order to effectively detect the link failures to find the alternative path and efficiently utilize the available energy to extend the network lifetime. The proposed protocol works by utilizing the dissemination and infection method followed by virus which defends the host-cell for the survival and progression. This research work uses the benchmark performance metrics to evaluate the proposed protocol against the existing protocols in the simulator NS2. The result shows that the proposed protocol outperforms the existing protocols in terms of all the metrics.
Flexural Behaviour of Self Compacting Concrete Beams Modified using Recycled Concrete Waste Aggregates
Authors:   Research Scholar. Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, India, V Shijumon. , Nalanth Dr. N. ,   Professor Department of Civil Engineering Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, India.
Published: August 2019

This study presents an investigation on the flexural behaviour of normally vibrated concrete and self-compacting concrete beams subjected to loading tests. Seven specimens were cast to investigate the flexural behaviour. This experimental analysis mainly varied the parameters such as (1) Percentage of coarse aggregate replacement (RCWA), and (2) percentage of Steel fibres. Results are exhibited in terms of flexural strength, stiffness, failure modes, and deflection curves. The test results revealed that RCWA could be successfully used in SCC. The flexural behaviour of beam decreased with the addition of RCWA. However, the addition of RCWA in combination with SF in SCC significantly improved the overall flexural behaviour. Finite element model also developed to study the behaviour of beams produced by SCC with RCWA content.
Predictive Health Analytic Model in Federated Cloud
Authors:   Research Scholar, Department of Computer Science, Research and Development Centre, Bharathiar University, Coimbatore, India., A Karunamurthy , Aramudhan Dr.M. ,   Associate Professor & Head, Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering & Technology, Karaikal, India.
Published: August 2019

Predictive Health Analytic is a challenging discipline in healthcare industry where knowledge can be transferred into action. The basic steps in predictive modeling are to define the problem, gather the initial necessary data and evaluate several different algorithm approaches. Later his process to be refined by selecting best performing models, testing with bench mark data sets and real world setting. Predictive analytics helps to extract useful knowledge and support in making decisions. In this paper, federated health providers are interconnected by using brokers, gather information and helps in decision making related to the issues of health. Each provider has provided the awareness about the distinct diseases, predict the possible level of diseases affected and the mode of treatment. Simulation result reveals that the proposed architecture is essential for the present needs of human life.
Indian Handwritten Script Identification System Based on Random Forest Tree Ensembles
Authors:   Department of Electronics Engineering, Government College of Engineering Amravati, Amravati, India., Ganorkar Lalit P. , Rojatkar Dinesh V. ,   Department of Electronics Engineering, Government College of Engineering Amravati, Amravati, India.
Published: August 2019

The work proposal addresses to introduce a methodology for Indian unconstrained handwritten script identification by practicing distinct features and classifiers. By utilizing classifiers like RF, SVM, k-NN, and LDA for Indian script identification using statistical, geometric, and structural features. To preserve all the information present on handwritten documents such as historical, medieval, inscription, financial administration, public records, government archives, letters, land councils, various agreements, etc. in digitalize form needs textual document processing system (e.g. OCR). To build a precise and productive multi-script/language textual document processing system must have script identification. For this study use, total 1288 (line wise) samples of ten scripts use in India are collected from different persons of different gender, age, education and region (rural or urban). After successful training and testing, 81.8% and 0.252 accuracies and the OOB error rate are achieved by Random Forest respectively. And 77.8%, 73.5%, and 65.5% accuracy is achieved in SVM, k-NN and LDA classifiers respectively.
Rate Performance and Spectral Efficiency of Non-Orthogonal Multiple Access for 5G Communication
Authors:   Research Scholar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Devi R. Prameela , Prabakaran N. ,   Associate Professor, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Published: August 2019

Multiple access is a key procedure which is used from 1G to 4G communication. Different multiple access techniques in different generations create difference in data rate, connectivity, outage performance etc. 5G is the recent technology in which a new multiple access technique must be used to increase the outage performance, massive connectivity and data rate for next generation. This paper gives clear idea about the Non-Orthogonal Multiple Access (NOMA) technique and different challenges to overcome in NOMA and also a brief description of different power allocation techniques is mentioned. The data rate performance of OFDMA and NOMA are evaluated and shown how spectral efficiency can be increased using NOMA.
FPGA Implementation of Encryption and Decryption of a Message using Optimized Reconfigurable Reversible Gate
Authors:   Department of Electronics & Communication Engineering, Sri Venkateswara University, Tirupati, India., Rajesh K. , Reddy Prof. G. Umamaheswara ,   Department of Electronics & Communication Engineering, Sri Venkateswara University, Tirupati, India.
Published: August 2019

The prime incentive to learn reversible computation is that it is the best efficient way to reduce heat dissipation than any other conventional methods. The major condition for reversibility is that there is a one-to-one connection between each input and output vectors and it has received a huge significance because of there no information loss throughout the reversible computation which results in reduces the power dissipation. Here, we proposed the design of encryption/decryption of the data schemes by using reversible computing. In this regard, a basic building block is designed for encryption design is simply cascading of a 4-bit reversible gates and it is performed every 4-variable reversible functions, for this intention a new reconfigurable reversible gate (RRG) is proposed and is designed with the use of basic reversible gates like NOT gate, CNOT gate, Toffoli gate, and Fredkin gates. In this work, the encryption/decryption of an 8-bit data is proposed and the Simulation results of encryption/decryption of the circuits using reversible gates are also presented. The gate count, delay, constant inputs, and the garbage outputs are calculated. The complete Simulation and the synthesis process can be finished with the Xilinx ISE 14.7 version and it is dumped on the FPGA Zynq board.
A Learn Of Fuzzy Regression Model and Its Applications
Authors:   Assistant Professor, Department of Statistics, DRBCCC Hindu College, Pattabiram, Chennai- 600072., University of Madras., Anandhavel B. , Prabakaran Dr. T. Edwin ,   Associate Professor, Department of Statistics, Loyola, College, Chennai – 600034., University of Madras.
Published: August 2019

Many statistics report shown in fuzzy module into clear problems using the centroid system, consequently we will research the usual linear regression model which is modified from the fuzzy linear regression model. The models enter and generate fuzzy numbers, and the regression coefficients are clear numbers. Hybrid algorithms are considered to fit the fuzzy regression model. So that the validity and quality of the suggested methods can be guaranteed. Therefore,the parameter estimation and have an impact on evaluation situated on knowledge deletion. By way of the gain knowledge of example and evaluation with other model, it may be concluded that the model in this paper is utilized without difficulty and better.
Verifiable Essential Secret Image Sharing with Multiple Decryptions
Authors:   CSED, MNNIT ALLAHABAD, Prayagraj, India., Yadav Mainejar , Ranvijay  ,   CSED, MNNIT ALLAHABAD, Prayagraj, India.
Published: August 2019

We know that the essential secret image sharing (ESIS) scheme differs from traditional visual secret sharing with respect to the essentiality of the shares. In ESIS, to reconstruct the secret image, threshold number of the shares are required which includes all the essential shares. All the shares are very sensitive because it carries the secret information. Hence, reliability and authenticity of the shares before the decoding of the secret image are required which prevents a participant from intentionally or unintentionally to provide invalid shares. Proposed method is a novel verifiable essential secret image sharing (VESIS) with multiple decryption. Multiple decryption means that the decoding and verification process is done by human visual system as well as by EX-ORing the shares. Apart from this, proposed scheme also eliminates unnecessary encryption constraints of VSS like pixel expansion, explicit codebook and the number of the participants and it is also required simple computation and O(k) complexity for the decoding process.
A Throughput Based Fuzzy System In MANET
Authors:   CSE, Hyderabad Institute of Technology and Management, Hyderabad, India, Sarao Pushpender
Published: August 2019

In mobile ad-hoc network, throughput is very important performance parameter. It depends upon different other network parameters like speed of nodes, pause time, density of nodes. To obtain a desired throughput in mobile ad-hoc network, a fuzzy based throughput calculation work has been performed in this paper. In this work, DSDV routing protocol is implemented in two steps: one is fuzzy based system and another is network simulation based scenarios. Designing the rule based fuzzy system and evaluating the DSDV routing protocol in network simulator work is carried out in this research work. Throughput is considered as main performance parameter for evaluating the table driven protocol. Fuzzy system is designed using one input parameter throughput and four output parameters like pause time, maximum speed, node density, and maximum number of connections. An input will be given by the user and based on that input value; other output parameter values will be calculated by the fuzzy system. In network simulator based scenario, varying the maximum number of connections, maximum speed, pause times, number of nodes, different scenarios were generated and routing protocol’s performance is evaluated.