bluuebunny/crossref_metadata_2025 huggingface dataset:
STATIC AND DYNAMIC BNP PARALLEL SCHEDULING ALGORITHMS FOR DISTRIBUTED DATABASE
Authors: Sharma Manik , Smriti Smriti
Published: May 2018

Parallel processing is a technique of executing the multiple tasksconcurrently on different processors. Parallel processing is usedto solve the complex problems that require vast amount ofprocessing time. Task scheduling is one of the major problemsof parallel processing. The objective of this study is to analyzethe performance of static (HLFET) and dynamic (DLS) BNPparallel scheduling algorithm for allocating the tasks ofdistributed database over number of processors. In the wholestudy the focus will be given on measuring the impact ofnumber of processors on different metrics of performance likemakespan, speed up and processor utilization by using HLFETand DLS BNP task scheduling algorithms.
Cloud Requirement and Cloud Analysis
Authors: Singh Gurdev , Singh Harmandeep , Singh Amandeep
Published: May 2018

Cloud computing is model which uses combine concept of software-as-a-service and œutility computing ,provide convenient and on-demand services to requested end users. Cloud Engineering is a discipline that uses combination of the business and technology thinking for purposes of engineering a cloud. The structure and principles of cloud engineering plays an important role for the engineering of usable and economic cloud. The cloud development life cycle (CDLC) is the one of the component in structure of cloud engineering with Base, Tools & Techniques and Management components. CDLC is the iterated life cycle model for development, deployment and delivery of cloud. CDLC consists of six phases that are flexible, isolated executable and having feedback. The work on this paper focuses on the Understanding Requirement and Analysis phase of the CDLC. This paper lists and discusses the basic, content and operational requirements for the engineering of economic cloud. It also discuses feasibility checks for the requirements. Analysis part of this phase does the analysis of their cloud computing solution with another available computing solution such as grid computing, volunteer computing, utility computing, autonomic computing, client-server model and peer to peer model; and also does cloud planning for cloud implementation phase
Encrypted message transmission in a QO-STBC encoded MISO wireless Communication system under implementation of low complexity ML decoding algorithm
Authors: Enayet Ullah Shaikh , Rashed Md. Golam , Sharmin Most. Farjana
Published: May 2018

In this paper, we made a comprehensive BER simulation study of a quasi- orthogonal space time block encoded (QO-STBC) multiple-input single output(MISO) system. The communication system under investigation has incorporated four digital modulations (QPSK, QAM, 16PSK and 16QAM) over an Additative White Gaussian Noise (AWGN) and Raleigh fading channels for three transmit and one receive antennas. In its FEC channel coding section, three schemes such as Cyclic, Reed-Solomon and Â½-rated convolutionally encoding have been used. Under implementation of merely low complexity ML decoding based channel estimation and RSA cryptographic encoding /decoding algorithms, it is observable from conducted simulation test on encrypted text message transmission that the communication system with QAM digital modulation and Â½-rated convolutionally encoding techniques is highly effective to combat inherent interferences under Raleigh fading and additive white Gaussian noise (AWGN) channels. It is also noticeable from the study that the retrieving performance of the communication system degrades with the lowering of the signal to noise ratio (SNR) and increasing in order of modulation.
Advanced IT Outsourcing By Using Cloud Computing Model
Authors: Chahal Amanbir kaur , Singh Gurpreet
Published: May 2018

In this paper we will discuss Outsourcing is the commissioning of a third party (or a number of third parties) to manage a client organization.s IT assets, people and/ or activities to required results. Business process outsourcing (BPO) is a more comprehensive definition of the current situation within the outsourcing domain. BPO has become increasingly interesting as more and more business processes are commoditized and thus easier to be hosted by an external party. Cloud Computing has all the attributes and potential to support a global BPO environment. These attribute are: virtualization, service oriented architecture (SOA), utility based pricing and grid computing. Cloud Computing involves the movement of IT services . application, infrastructure and platform . onto the Internet and deployment models. Because of the high availability, high bandwidth and the increased use of the Internet it has become easier to access a variety of services, traditionally originating from within a company.s data center.
Optimization of Constituents of (Ni, MO, Cu)/Kieselguhr Catalyst by Response Surface Methodology for Glycerol Production by Hydrogenolysis of Sucrose
Authors: Srivastava Dr. Tanuja , Saxena D.C.
Published: May 2018

Sucrose hydrogenolysis is industrially important forthe production of polyols. To provide high glycerol yieldunder milder reaction conditions, a nickel catalyst promotedby Molybdenum and copper supported on kieselguhr wassynthesized and optimized using Response SurfaceMethodology. A 3X5 experimental design has been adopted tostudy the effect of these constituents. A linear second-ordermodel has been developed to optimize and to study theinteraction effects on glycerol yield in the catalytichydrogenolysis of sucrose. Increase in nickel loading in thecatalyst increased its activity. Increase in Molybdenum alsoincreased the catalyst activity but changed the reactionmechanism as well. Increase in copper caused the directhydrogenolysis of sucrose instead of its first splitting intomonosaccahrides and their subsequent hydrogenolysis.Maximum glycerol yield of 27.79% was identified at anoptimum nickel, Molybdenum and copper concentration of29.80%, 10.0%, and 1.07%, respectively. The optimizedcatalyst has been characterized by the electron microscopy, Xraydiffraction, and magnetic measurement techniques.
A Novel SLM based PAPR reduction Technique in OFDM-MIMO System
Authors: Singh Er. Sukhjinder , Malhotra Er. Jagjit , Singh Er. Manwinder
Published: May 2018

Orthogonal Frequency Division Multiplexing (OFDM) is annew method for fourth generation wireless communication.MIMO-OFDM has become a promising candidate for highperformance 4G broadband wireless communications.However, one main disadvantage of MIMO-OFDM is thehigh peak-to-average power ratio (PAPR) of the transmitterâ€™soutput signal on different antennas. In this paper, we present anew noble SLM PAPR reduction techniques such asselective mapping technique and Partial transmit sequencetechniques and shows which of these PAPR reductiontechniques are more effective to reduce PAPR in OFDMMIMO.
A Novel Approach of Stability Awareness Routing in MANETs
Authors: Grover Lovedeep , Kaur Maninder , Verma Lal Pratap
Published: May 2018

In this paper, we introduce a novel approach of stabilityawareness routing for efficient utilization of Bandwidth by useof Bandwidth Threshold. Earlier work on routing in MANETshad resulted in several routing protocols which targets at findinga viable route from source to destination without taking intoconsideration battery backup or Bandwidth availability for datatransfer & they frequently fails to discover stable routesbetween source and destination, resulting in networkoverloading & discarding of data packets. In Novel stabilityawareness routing protocol, selects only the route which canprovides minimum required Bandwidth and uptime to supportthe data transfer for the expected duration. The Novel stabilityawareness routing (NSAR) resolves the problem of SADSRprotocol & provide better results in terms of route discoverysuccess rate with multiple route establishment, maintenanceoverheads and enhancing QOS.
A Context Model For Focused Web Search
Authors: Kumar Sushil , Chauhan Naresh
Published: May 2018

In the existing web search systems, the information retrieval isperformed using a single query and mapping it to a set ofdocuments. From a single query, however, the search systemscan only have very limited clue about the userâ€Ÿs informationneed. The userâ€Ÿs context and his environment are ignored whilesearching the information resulting in irrelevant search results.These irrelevant search results increase the cognitive overheadof the user in filtering them out and finding useful information.Therefore, the search systems must incorporate contextinformation regarding user and his environment search thehighly relevant web pages. This paper prepares an Entity-Centric model for the context and proposes a framework forcontext-aware focused web search system that considers thevarious context features and returns highly relevant searchresults to the user.
Opinion Mining and Sentiment Analysis: A Survey
Authors: Hajmohammadi Mohammad Sadegh , Ibrahim Roliana , Ali Othman Zulaiha
Published: May 2018

In the past few years, a great attention has been received by web documents as a new source of individual opinions and experience. This situation is producing increasing interest in methods for automatically extracting and analyzing individual opinion from web documents such as customer reviews, weblogs and comments on news. This increase was due to the easy accessibility of documents on the web, as well as the fact that all these were already machine-readable on gaining. At the same time, Machine Learning methods in Natural Language Processing (NLP) and Information Retrieval were considerably increased development of practical methods, making these widely available corpora. Recently, many researchers have focused on this area. They are trying to fetch opinion information and analyze it automatically with computers. This new research domain is usually called Opinion Mining and Sentiment Analysis. . Until now, researchers have developed several techniques to the solution of the problem. This paper try to cover some techniques and approaches that be used in this area.
A Collective Statistical Analysis of Outdoor Path Loss Models
Authors: Abdullah Saifuddin , Al-Najjar Dr. Fuad
Published: May 2018

This study encompasses nine path loss models (Erceg-Greenstein, Green-Obaidat, COST Hata, Hata Urban, Hata Rural, Hata Suburban, SUI, Egli and ECC-33) which were programmed on Python and studied for their results in an urban architecture (translated by higher attenuation variables) at 950 MHz and 1800 MHz. The results obtained showed that increasing the transmission antenna height with the increasing distance not only lowers down the path loss readings, but also shows that the standard deviation between the results of studied path loss models increases with the increasing transmission antenna height and increasing distance at both 950 MHz and 1800 MHz systems, especially when transmission antenna height crosses the GSM standard of 40 meters and cell-radius exceeds the limit of 20 kilometers. Moreover, it is also observed that at both 950 MHz and 1800 MHz, the path loss readings of all the models disperse from their collective mean between 1 and 10 Km, but tend converge afterwards (i.e. from 10 to 40 Km and onwards) towards their mean, which indicates that path loss readings of the urban models tend to follow either a single convergence point on large distances or reach their maximum threshold level (a level from which their readings cannot exceed or differ from each other significantly).
Investigations on Receiver sensitivity of 10 Gbps SOA based optical communication system
Authors: Singh Sukhbir , Singh Kulwinder
Published: May 2018

In this paper, investigations are done for performance improvement of optimized SOA preamplifier [13] for 32, 64 channels and various channel spacing. The effects of number of channels and channel spacing are analyzed in terms of receiver sensitivity of the optimized preamplifier based optical receiver.
Simulation And Auditing Of Network Security Based On Probabilistic Neural Network Approach
Authors: Patel Manoj , Shrivastava Dr. Maneesh , Deshmukh Kavita
Published: May 2018

: Probabilistic Neural Network approach used for mobile adhoc network is more efficient way to estimate the network security. In this paper, we are using an Adhoc On Demand Distance Vector (AODV) protocol based mobile adhoc network. In our Proposed Method we are considering the multiple characteristics of nodes. In this we use all the parameter that is necessary in AODV. For simulation purpose we use the probabilistic neural network approach that gives more efficient and accurate results as comparison to the clustering algorithm in the previous systems was used. The performance of PNN (probabilistic neural network) approach is improvedÂ  for identifying the particular attack like as wormholes, black holesÂ  and selfish
Detecting the Sybil Attack in Wireless Sensor Network :Survey
Authors: Pramod A.V , Azeem Md. Abdul , Prakash M. Om
Published: May 2018

Mobility is frequently a problem for providing security servicesÂ  in ad hoc networks. In this paper, we render that mobility can alsobe used to enhance security. Specifically, we render that nodes which are in Â passively monitor traffic in the network can able to detect a Sybil attacker which uses a number of network identities simultaneously. We can do through simulation that this detection can be done by a single node, or multiple trusted nodes can join to improve the accuracy of detection. We then show that although the detection mechanism will falsely identify groups of nodes traveling together as a Sybil attacker, we can extend the protocol to monitor collisions at the MAC level to differentiate between a single attacker spoofing many addresses and a group of nodes traveling in close proximity.
Performance Evaluation of Image Enhancement Techniques in Spatial and Wavelet Domains
Authors: Virk Amardeep Singh , Kaur Mandeep , Passrija Lovely
Published: May 2018

Denoising is one of the important tasks in image processing. Despite the significant research conducted on this topic, the development of efficient denoising methods is still a compelling challenge. In this paper, spatial domain methods and Wavelet Domain Methods of image denoising have been evaluated. The medical ultrasound images suffer from speckle noise which is multiplicative in nature and more difficult to remove than additive noise. In the spatial filter methods Median Filter and Wiener Filter are implemented. These methods are based on the simple formulas that are proposed by different authors. In Wavelet Methods Visu Shrink, Neigh shrink and Bayes Shrink are implemented. The basic idea of wavelet methods is to denoise the image by applying wavelet transform to the noisy image, then thresholding the detailed wavelet coefficient and inverse transforming the set of thresholded coefficient to obtain the denoised image. The comparison of all filters methods is done using various Quality Metrics like Peak Signal-to-Noise Ratio (PSNR), Bit Error Rate (BER), Mean Square Error, etc. The filters methods implemented in MATLAB 7.10.0.499(R2010a).
LSB Embedding in Spatial Domain - A Review of Improved Techniques
Authors: Goyal Himani , Chutani Shaveta
Published: May 2018

Steganography - the art and technique of hiding information in images, audio, video or text and other cover media has evolved and developed with time. Numerous improvements have been achieved with respect to security, robustness and capacity. This paper presents a review of different LSB embedding techniques in Spatial Domain for image steganography. A variety of techniques which have evolved over time and have improved the basic LSB technique have been discussed. These techniques have also been compared on the basis of different parameters.
WEB-BASED PENSION FUND MANAGEMENT SYSTEM
Authors: S. O Okolie , S.O. Kuyoro , O. A. Lawal , A. Aina-Marshal
Published: May 2018

Given the discouraging record of the traditional pension system and the limited coverage of the private-sector pension schemes, there is need for robust web-based pension fundmanagement system that can handle the pension process efficiently. This work focus on the design and implementation of a web-based pension fund management application toreplace the manual system, thus getting rid of the hurdles involved in the traditional pension management process.
Toward a Unified Ontology of Cloud Computing
Authors: Singh Gagan , Kaur Nimrat , Kaur Manpreet
Published: May 2018

The emergences of cloud computing deals in various internet applications developers for hosting various applications which users are in need in this day to day life.the idea is cloud ontology for easy Selection, Publication and Discovery in cloud services. Query Processing Agent, Ontological Similarities.In this paper, purposal is an cloud service discovery system with ontological model, in order to solve,for example: A job site, Itâ€™s not an ordinary jobsite but focusing and specializing in matching the users or clients queries related to jobs and displaying the information even by giving options of updating their information which is needed for this Job Domain. This paper implements the cloud ontology technique to make cloud service discovery system efficient for user query in job site. The aim of this paper is to determine how the CSDS with the Cloud ontology achieved better performance than the CSDS without the Cloud ontology. By consulting a Cloud ontology to reason and to rating about the relations among Cloud services, the CSDS is more successful in locating Cloud services and more likely to discover Cloud services that meet consumersâ€Ÿ requirements.
MOBILE COMMERCE: A REVIEW
Authors: Jain Shruti
Published: May 2018

As the power of wireless increases, it provides various opportunities for improving services to customers. In todayâ€™s era, mobile commerce or M-Commerce has entered almost all the aspects of Business organizations like finance, retails, services, telecommunications and information technology services. This paper discusses the concept of Mobile Commerce. It looks at how the technology of Mobile Commerce has facilitated new business trends. After this there is detailed description of applications of M-Commerce, its advantages & disadvantages. In last finally it throws light on the challenges that are faced by M-Commerce.
E-Security Issues
Authors: Arora Mani
Published: May 2018

With the rapid growth of e-commerce, governmental and corporate agencies are taking extra precautions when it comes to protecting information. The development of e-security as a discipline has enabled organisations to discover a wider array of similarities between attacks occurring across their security environment and develop appropriate countermeasures. To further improve the security of information, there is a need for conceptualising the interrelationships between e-security and the major elements involved in changing a company's infrastructure. Organisations should act in an ethical manner, especially when it comes to e-security and e-privacy policies, procedures, and practices. The consequential theory of utilitarianism is used and applied to a conceptual model to help explain how organisations may develop better secured information in an information-sharing and globally networked environment. E-security is a critical concern for both consumers and business. Establishing trust between all parties in an online transaction is vital for the success of e-commerce. The public wantsÂ  full assurance that the information they supply is going to the company they think it is going to, will not be misused by that company, and that credit card information or other payment mechanisms are confidential and secure. On the other hand, companies also want that their systems must remain protected from intruders and they cannot tamper with the data. Some degree of risk is always associated with E-transactions, if security controls are not applied while engaging into such transactions. Users must be sure before engaging into transactions that they are safe and the information provided by them is not going to unauthorized people. Cyber crimes can involve criminal activities that are traditional in nature, such as theft, fraud, forgery, defamation and mischief, all of which are subject to the Indian Penal Code. The abuse of computers has also given birth to a gamut of new age crimes that are addressed by the Information Technology Act, 2000. In this paper, I have covered the e-security issues such as elements of e-security, security threats or cyber crimes, tools for e-security, precautions for secure e-commerce and various studies regarding e-security issues.
Performance Evolution of Intrusion Detection system on MANET Using Genetic Evolution
Authors: Singh Kirti , Yadav Poonam
Published: May 2018

Mobile ad hoc networks (MANETs) are one of the best ever growing areas of research. By providing communications in the absence of fixed infrastructure MANETs are an attractive technology. However this edibility introduces new security threats. The traditional way of protecting networks is not directly applicable to MANETs. Many conventional security solutions are ineffective and inefficient for the highly dynamic and resource-constrained environments where MANET use might be expected.Â  In this paper we solving security issue in Mobile Adhoc Network using Evolutionary Computation that will be discover complex properties of mobile ad hoc networks and evolve intrusion detection programs suitable for this new environment. Programs evolved using Grammatical Evolution techniques which is part of Evolutionary Computation, will be able to detect specific routing attacks on mobile ad hoc networks.
An Overview of Data Analysis of EMR, Its Clinical Ontologies & Security in Database with respect to Todays Ehealth Apps
Authors: Kemkar Onkar S , Dahikar Dr P B
Published: May 2018

The convergence of the information and communication technology (ICT) has produced many exciting possibilities for developing new services in medical field for the citizens. Electronic medical records (EMRs) are used in large healthcare centers to increase efficiency and accuracy of documentation. These databases may be utilized for clinical research or to describe clinical practices such as medication usage. The paper discusses an overview of the features and functions of major electronic health records (EHR) and reviews how they are being used in academic medical centers (AMC) AMCs were among the pioneers in developing automated EHRs, is the available ICT technology is suitably modified and used for experimentation, vocabularies and interfaces appropriate for clinical trial research
CLASSIFICATION OF DATA WAREHOUSE TESTING APPROACHES
Authors: Gupta Dr. S. L. , Pahwa Dr. Payal , Mathur Ms. Sonali
Published: May 2018

Data Warehouse is a collection of large amount of data which is used by the management for making strategic decisions. The data in a data warehouse is gathered from heterogeneous sources and then populated and queried for carrying out the analysis. The data warehouse design must support the queries for which it is being used for. The design is often an iterative process and must be modified a number of times before any model can be stabilized. The design life cycle of any product includes various stages wherein, testing being the most important one. Data warehouse design has received considerable attention whereas data warehouse testing is being explored now by various researchers. This paper discusses about various categories of testing activities being carried out in a data warehouse at different levels
A REVIEW ON COMPUTER AIDED DETECTION AND DIAGNOSIS OF LUNG CANCER NODULES
Authors: Parveen S.Shaik , Kavitha Dr. C
Published: May 2018

In this paper, a attempt has been made to summarize some of the information about CAD and CADx for the purpose of early detection and diagnosis of lung cancer. Computer Aided Detection (CADe) and Computer Aided Diagnosis (CADx), are procedures in medical information that assist doctors in the interpretation of medical images. Imaging techniques in X-ray, MRI, and Ultrasound diagnostics yield a great deal of information, which the radiologist has to analyze and evaluate comprehensively in a short time. Thus, the use of digital computers to assist practitioners and physicians in diagnosing diseases and to offer a rapid access to medical information gained importance. CAD systems help scan digital images, e.g. from Computed Tomography (CT), for typical appearances and to highlight conspicuous sections, such as focal areas of lung nodules.
Modeling an Object Oriented for Maintenance Purposes
Authors: Al-Fawareh Hamed J.
Published: May 2018

Software maintenance is the last phase of the software life cycle. The aim of the software maintenance is to maintain the software system in accordance with advancement in software and hardware technology. In this paper, we discuss a maintenance system for object-oriented techniques. The paper therefore discusses about a problems in object oriented techniques under the maintenance environment. These problems include understanding object oriented system, complex dependencies in object-oriented system, inheritance, polymorphism and dynamic binding problem that maintainers and developers commonly face. Finally, we talk about the proposed object-oriented maintenance tool.
A Comparative study on secure routing algorithms SAODV and A-SAODV in Mobile AdHoc Networks (MANET) – The Enhancements of AODV
Authors: RAJESHWAR JARUPULA , NARSIMHA Dr G
Published: May 2018

A freely moving nodes forming as group to communicate among themselves are called as Mobile AdHoc Networks (MANET). Many applications are choosing this MANET for effective commutation due to its flexible nature in forming a network. But due to its openness characteristics it is posing many security challenges. As it has highly dynamic network topology security for routing is playing a major role. We have very good routing protocols for route discovery as well as for transporting data packers but most of them lack the feature of security like AODV. In this paper we are studying the basic protocol AODV and identify how it can be made secure. We are studying a protocol S-AODV which is a security extension of AODV which is called Secure AODV (S-AODV) and we are studying enhanced version of S-AODV routing protocol a Adaptive Secure AODV (A-SAODV). Finally we have described about the parameter to be taken for performance evaluation of different secure routing protocols
IMPLEMENTATION OF FINGER TOKEN AUTHENTICATION TECHNIQUE USING ARTIFICIAL INTELLIGENCE APPROACH IN NTT MICROSYSTEMS
Authors: Chaudhary Sumit , Garg Monika , Singh Neha
Published: May 2018

Personal authentication that correctly identifies valid users in an indispensable security technology for enabling people to enjoy the access to data services with a sense of confidence and assurance. Passwords have been extensively used to identify authorized users in the past, but passwords alone are vulnerable because people tend to choose weak password relating to some aspect of them (e.g. birthday, phone number, family name) that can be guessed. This has led to growing interest in biometric authentication using fingerprints that make it possible to identify personal authentication correctly. It eliminates problems of forgotten passwords or lost cards and is currently becoming more popular for convenient and secure authentication. NTT Microsystems is a new and exclusive technology that overcomes the limitations of previous systems and sets a new standard for compact, reliable and low-cost fingerprint authentication. NTT laboratories have developed Finger Token, a portable fingerprint identification device that substitutes a fingerprint instead of password for authentication
THE PROSPECT OF SOLAR POWER GENERATION TECHNOLOGY
Authors: C. Ajaegbu , O. Awodele , Kuyoro Afolashade , A. A. Omotunde
Published: May 2018

Over the years, several means of electrical power generation have been in place ranging from wood, coal, to fuel. All these means have at its point served purpose at the needed time. This work presents the historical research of solar power in space, an insight into some literature pertaining to Solar Power Satellite (SPS) and Wireless Power Transmission (WPT) and an insight into the working principle of solar power generation was presented. It was observed that despite the various prospects that were identified by the various researchers less attention was paid to the means of enhancing the range of transmission of solar power satellite
CRYPTOGRAPHY
Authors: Kumar Dr. Vinod , Raheja Er.Gagandeep , Sareen Ms Subeena
Published: May 2018

To prevent the dissemination of sensitive information from the database to unauthorized users or outside competitive or hostile agents, an organization must establish effective security policies. The art of protecting information by transforming it into an unreadable format, calledÂ cipher text. Only those who possess a secretÂ key can decipher (orÂ decrypt) the message intoÂ plain text. Encrypted messages can sometimes be broken by cryptanalysis, also calledÂ codebreaking, although modern cryptography techniques are virtually unbreakable. Database security policies are guidelines for present and future decisions regarding the maintenance of the database security. Database security mechanisms are the functions used to enforce the database security policies.Â  There are number of security policies that can be applied on data in order to protect the data against unauthorized access. Protecting the data is the prime need of an organization.
VIRTUAL REALITY IN EDUCATION: TRENDS AND ISSUES
Authors: Omieno Kelvin Kabeti , Wabwoba Franklin , Matoke Nahason
Published: May 2018

Computer-mediated learning is becoming an increasingly common form of education in institutions of higher learning (IHL). Many IHL in developing nations, such as Kenya, have greatly experienced an increase in demand for higher education.Â  On the other hand, the ability to connect people with required sets of skills, regardless of their location in the world has been enabled by advances in information technology over the past 20 years. Use of virtual learning environment (VLE) has rapidly emerged as a very promising technology that will probably match the innovation of technologies such as multimedia/hypermedia. These VLEs have the potential to provide opportunities for active, flexible, and increasingly individualized learning experiences. It also explains virtual reality principle, describes the interactive educational environment, highlights the challenges higher education face in the traditional mode of delivery and discusses educational benefits of implementing virtual learning environments in IHL. The paper makes a number of recommendations for successful adoption of VLEs in higher education
CRITICAL STUDY ON DATABASE AND PROMINENT PROGRAMMES
Authors: Kumar Dr. Vinod , Raheja Gagandeep , Singh Sukhpreet
Published: May 2018

The people who work with computers, the programmers, analysts, and operators who seem to live by rules of their own and seldom leave their own environment, tend to be very cynical towards the stories of electronic brains. This attitude will appear hardly surprising when one eventually learns that the computer is a very simple device and is as far removed from an electronic brain as a bicycle from a spaceship. Programmers in particular are the people most aware that computers are no substitute for the human brain; in fact, the preparation of work to be run on a computer can be one of the most mind-bending exercises encountered in everyday life. Databases and database systems have become an essential component of everyday life in modern society. In the course of a day, most of us encounter several activities that involve some interaction with a database. So in this paper we will talk about how to manage the different type of data involved in any form in the database.
Fuzzy Mean Point Clustering using K-means algorithm for implementing the movecentroid function code
Authors: Shinde Ganeshchandra Narharrao , S. A. Inamdar , S.M. Narangale
Published: May 2018

The paper focus on combination of K-Means algorithm for Fuzzy Mean Point Clustering Neural Network (FMPCNN). The algorithm is implemented in JAVA program code for implementing the movecentroid function code into FMPCNN.Â  Here we have provided movecentroidâ€™s output to Fuzzy clustering as criteria, movecentroid is the base function of K-means algorithm as in Fuzzy Mean Point Clustering Neural Network (FMPCNN) algorithm, calculation of cluster based on pre-defined criteria and scope is done.Â  In the experiment we have used four datasets and observed results in nano seconds there is huge difference in output as time is reduced for Fuzzy Min-Max code execution of fuzzy calculations of clustering.
DECISION SUPPORT SYSTEM FOR PRECISION FARMING
Authors: Singh Harmandeep , Sharma Nitika
Published: May 2018

A decision support system for precision farming is designed to assist farmers, agricultural experts, research workers or any intellectuals with guidance in making various farming related decisions and help them to access, display and analyze data that have geographic content and meaning. The concept of precision farming is not only related with the use of technologies but it is also about the five Râ€™s that is use of right input (nutrients, water, fertilizer, money, machinery etc.), at the right time, at the right place, in the right amount and in the right manner. There is need to have accurate information and suitable decisions regarding the right inputs required for the farming practices and to initiate the step towards the precision farming. DSS calculates irrigation requirement of crops. In this paper, Maps that are shown generated with the help of ArcGIS software (ArcMap tool). The system has been developed using Hypertext Pre Processor (PHP) at front end and MySQL at back end.
DNA sequence comparison based on Tabular Representation
Authors: Verma Archana , R.K.Bharti Mr. , Singh Prof. R.K.
Published: May 2018

DNA sequence comparison remains as one of the critical steps in the analysis of phylogenetic relationships between species. In order to get quantitative comparison, we want to devise an algorithm that would use the tabular representation of DNA sequences. The tabular approach of representation captures the essence of the base composition and distribution of the sequence. In this contribution, we take the tabular notation for DNA sequences and then these tables are compared to find the similarity/dissimilarity measure of the sequences. We have developed algorithms for comparing DNA sequences. These programs help us to search similar segments of sequences, calculate similarity scores and identify repetitions based on local sequence similarity. There are two approaches: one is to find the exact similarity and another is to find the measurement for similarity. The first approach is more sensitive, which can be used to search DNA sequence similarities only if complete matches occurred and can compare exactly similar sequences only. This approach violates if a single mismatch for any base character appears so it is not a general solution. To find the miss matches along with the matches we have suggested another approach which compiles the information matrix based on matches and miss matches. This approach is quiet general in terms of sequences which have a large fragment common with less no of dissimilar base characters. This alternate approach includes an additional step in the calculation of the similarity score that denotes multiple regions of similarity between sequences. For both these approaches computer programs are prepared and tested on data sets. These programs can be used to evaluate the significance of similarity scores using a shuffling method that preserves local sequence composition. In addition, these programs have been generalized to allow comparison of DNA sequences based on a variety of alternative scoring matrices. We have been developing tools for the analysis of protein The method is very simple and fast, and it can be used to analyze both short and long DNA sequences. The utility of this method is tested on the several sequences of species and the results are consistent with that reported.
A Soft- Computing Approach for Multi Criteria Project Selection Problem with Grey Number
Authors: BAKSHI TULI , SARKAR BIJAN , SANYAL SUBIR KUMAR
Published: May 2018

Multi-criteria decision support systems are used in various fields of human activities. In every alternative multi-criteria decision making problem can be represented by a set of properties or constraints. The properties can be qualitative & quantitative. For measurement of these properties, there are different unit, as well as there are different optimization techniques. Depending upon the desired goal, the normalization aims for obtaining reference scales of values of these properties. This paper deals with the multi-attribute Complex Proportional Assessment of alternative. In order to make the appropriate decision and to make a proper comparison among the available alternatives Analytic Hierarchy Process (AHP) under fuzziness and COPRAS method with grey numbers has been used. The uses of AHP is for analysis the structure of the project selection problem is used under fuzziness and to assign the weights of the properties and the COPRAS-G method is used to obtain the final ranking and select the best one among the projects. To illustrate the above mention methods survey data on the expansion of optical fiber for a telecommunication sector is reused. The decision maker can also used different weight combination in the decision making process according to the demand of the system.COPRAS-G method is used to evaluate the overall efficiency of a project with the criterion values expressed in terms of intervals. It is based on the real conditions of decision making and applications of the grey number theory.
Providing security for Web Service Composition using Finite State Machine
Authors: Sundar Priya , Raju R , Mahalakshmi P , Lalitha G
Published: May 2018

The revolution impacted by Web Service as a solution to business and enterprise application integration throws light on the significance of security provided by Web Services during Web Service Composition. Satisfying the securityÂ requirements is truly a demanding task because of the dynamic and capricious nature of the Web. Web Service Composition associates web services to create high level business process that absolutely matches and conforms appropriately to the service requestorâ€™s needs. It involves customizing services often by locating, assimilating and deploying elementary services. Our paper proposes a policy based system for granting security during the process of web service composition. Policies defined for effective and secure composition analyze and verify the conditions under which the task of the web service is allowed or rejected. To achieve this specification, we make use of Finite State Machine model which clearly portrays the business and flow logic. Nodes in the Finite State Machine represent rules. Upon efficacious fulfillment of policies which are defined in the node access points, transition between rules is stimulated. A service composition is said to be successfully incorporated only if there is complete absence of policy violations when combining the policies of elementary services. The simulated FSM which extracts the rules and policies of the web services and correctly matches and satisfies the policy constraints defined in the access points ensure providing security for the composite web service.
Analysis and Comparison of Color Features for Content Based Image Retrieval
Authors: Lande Milind Vijayrao , PraveenBhanodiya Prof. , Jain Mr. Pritesh
Published: May 2018

Creation of a content-based image retrieval system implies solving a number of difficult problems, including analysis of low-level image features and construction of feature vectors, multidimensional indexing, design of user interface, and data visualization. Color is one of the important features used in CBIR systems. The methods of characterizing color fall into two major categories:Â  Histograms and Statistical. An experimental comparison of a number of different color features for content-based image retrieval presented in these paper. The primary goal is to determine which color feature is most efficient in representing the spatial distribution of images. In this paper, we analyze and evaluate both Statistical and Structural color features. For the experiments, publicly available image databases are used. Analysis and comparison of individual color features are presented
Segmentation of Palmprint into Region of Interest (ROI): A Survey
Authors: Ramteke Sneha M. , Hatkar Prof. S. S.
Published: May 2018

Palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint recognition process consists of image acquisition, pre-processing, feature extraction, matching and result. One of the most important stages in these methods is pre-processing which contains some operations such as filtering, Region Of Interest (ROI) extraction, normalization. This paper provides a survey on various different methods to segmentation of palmprint into ROI and extraction of principle lines. ROI segmentation of palmprint is to automatically and reliably segment a small region from the captured palmprintimage.We pay more attention towards more essential stage of palm localization, segmentation and ROI extraction. Finally some conclusion and suggestion is offered.
Evaluation of Operation of Lake Tana Reservoir Future Water Use under Emerging Scenario with and without climate Change Impacts, Upper Blue Nile
Authors: Tegegne Getachew , Hailu Dr. Ing. Dereje , Aranganathan Prof. Dr. S. Moses
Published: May 2018

This paper presents simulation of Lake Tana reservoir future water use under emerging scenario with and without climate change impacts. Two different development and climate change scenarios were developed to simulate Lake Tana water level i.e., i) Base line scenario (1991-2000) ,ii) Future development scenario on short term periods(2031-2040) , and ii) Future development scenario on long term periods (2091-2100). River head flow estimated by Soil and Water Assessment Tool (SWAT) was used as an input to Water Evaluation And Planning (WEAP) model to simulate the Lake level for each scenario. Based on WEAP model simulation results, demand coverage and reliability of 100% was observed in all scenarios for Tana-Beles hydropower project. For scenarios without climate change impacts, there are longer periods of time when mean monthly lake levels are below 1785 masl (i.e., the minimum lake level required for shipping). Under natural conditions (lake level without project), they exceed this level in 100%.under current conditions (Base line scenario, BLS), they exceed this level in 89% of the months. In the full development scenario (FDSCÊ¹), this will decrease to 83%. For all scenarios with climate change impacts, Lake water Level will not significantly be affected by climate change impacts.
Artificial Neural Network Based Method for Classification of Gene Expression Data of Human Diseases along with Privacy Preserving
Authors: Subramanian Sathish Kumar , N Duraipandian
Published: May 2018

In this paper, the author introduces a classification approach usingÂ  Artificial Neural Network(ANN) with Back-Propagation learning technique for human diseases like Cancer and heart problems from clinical diagnosis data. Clinical diagnosis is done mostly by experienced doctors with expertise in this field. In many cases, the test results are not effective towards the diagnosis of the disease. The author is particular about the wrong diagnosis which leads to a wrong treatment. The author is using Artificial Neural Network technique to classify the disease with reduced number of DNA sequence. The accuracy is differing based on the training data set and validation data set.Â  The other major issue is the privacy preserving of the patients. As we are sharing the critical data from clinical diagnostic centers, there is good chance of patientâ€™s anonymity is revealed. To avoid this, the author is using a simple Privacy Preserving in Data Mining (PPDM) technique to crypt the identity of the patients as well as the critical data and discloses only the required data like DNA sequence to the research team, as they are not much interested in the identity or the owner of the diagnosis report.
Online Signature Verification: State of the art
Authors: El-Henawy Ibrahim , Rashad Magdy , Nomir Omima , Ahmed Kareem
Published: May 2018

online or Dynamic signature verification (DSV) is one of the most acceptable, intuitive, fast and cost effective tool for user authentication. DSV uses some dynamics like speed, pressure, directions, stroke length and pen-ups/pen-downs to verify the signer's identity. The state of the art in DSV is presented in this paper. several approaches for DSV are compared and the most influential techniques in this field are highlighted. We concentrate on the relationship between the verification approach used (the nature of the classifier) and the type of features that are used to represent the signature.
Dispersion Compensation In Optical Communication - A Review.
Authors: Sharma Er. Abhishek , Singh Er. Sukhbir , Sharma Er. Bhubneshwar
Published: May 2018

Dispersion is defined as - the phenomenon in an optical fiber whereby light photons arrive at a distant pointÂ  in the different phase then they entered the fiber. Dispersion causes signal distortion that ultimately limits the bandwidth and usable length of the fiber cable. Therefore dispersion compensation (management) becomes an essential part to study in optical communication for better transmission. In this paper we have reviewed the various techniques (schemes) that are used for dispersion compensation.
The Analysis of Mobile WiMAX and LTE using MIMO technique
Authors: Garg Roopali , Singla Shafi
Published: May 2018

A quality of service is a fundamental component of the 4G broadband network for satisfactory service delivery by evolving internet application to end user, and managing the network resources. The 4G technology has emerged one of the most fruitful technologies as it supports large number of applications including VOIP, video conferencing, file transfer, video streaming and web browsing. IEEE 802.16E, IEEE 802.16M and LTE along with various application and QoS requirement also support Multiple-Input-multiple-output (MIMO) techniques including Spatial Multiplexing (SM), Space Time Block Coding(STBC) and Eigen Beam-forming (BM).In the paper we will study Physical, MAC layer of WiMAX and LTE. We will also study MIMO techniques. In this paper Â the detailed study of the throughput for a MIMO mobile WiMAX system and LTEÂ  under two different PHY PER QoS threshold. Various modulation and channel coding techniques have been applied.
ONTOLOGY BASED CLASSIFICATION AND CLUSTERING OF RESEARCH PROPOSALS AND EXTERNAL RESEARCH REVIEWERS
Authors: Kaur Preet , Sapra Richa
Published: May 2018

With the rapid development of research work in projects, research project selection is a necessary task for the research funding agencies. It is common to group the large number of research proposals, received by the research funding agencies. Based on their similarities in Research Discipline areas. The grouped Proposals are then assign to the appropriate Research experts for peer-review. In current methods, which are manual based, proposals assigned to experts may not have adequate knowledge about all discipline areas. In this paper, Ontology-based Text Mining Method is presented to classify Research Project Proposals, as well as External Research Reviewers and then group them based on their research discipline areas and assign the particular research proposal group to the appropriate reviewer group. This approach provides an efficient and effective way for the selection of research project proposals with the increasing number of research proposals and reviewers.