bluuebunny/crossref_metadata_2025 huggingface dataset:
A review on Privacy Preservation and Collaborative Data Mining
Authors: Kumar Amit
Published: May 2018

Privacy preservation is major issue in current data transmission over internet and cloud network. For the integrity and security of data various methods are used such as cryptography, data transformation, Steganography, watermarking and many more method. In consequence of all these method some data mining technique is used. The data mining technique provide Varity of algorithm for privacy preservation. The collaborative data mining technique used different agent method for the integrity of security of data during transmission. Issues about privacy-preserving data mining have emerged globally, but still the main problem is that non- sensitive information or unclassified data, one is able to infer sensitive information that is not supposed to be disclosed. Data collection is a necessary step in data mining process. Due to privacy reasons, collecting data from different parries becomes difficult. In this paper presents the review of privacy persevering technique used data mining.
Integration of IR-UWB Services into Single- and Multi-Channel Optical Coherent OFDM Network
Authors: Kadum Jaffar Emad , Fyath Raad Sami
Published: May 2018

Distribution of wireless communication signals over implemented optical networks is a challenged task since the presence of wireless services may affect the performance of the existing wired ones. This paper addresses the possibility of integrating impulse radio-ultrawideband (IR-UWB) wireless services into implemented coherent optical orthogonal frequency division multiplexing (CO-OFDM) network. Simulation results are presented for the transmission of a 625Mb/s UWB Â signal with either 50Gb/s single-channel or three-channel OFDM system. Both Gaussian monocycle and 5th-orderÂ  derivative Gaussian pulses are used to implement Â the UWB system with two modulation formats, namely ON-OFF keying (OOK) and biphase modulation (BPM).Â  The simulation results reveal that the performance of the CO-OFDM channels is not affected in the presence of UWB signals.
Security Defects in Biometric- based IdentificationSystemsand Mechanisms torectify them
Authors: Saeed Dr. Mozamel M. , Fadul Dr.Abdulwahid A. , Al Duhayyim Mesfer A.
Published: May 2018

Biometrics is one of the evolving technologies widely used in different aspects of life today. Theuse of biometrics for identification is a system mainly established to recognize a certain person through authentication by using a set of biological characteristics. In this paper, I aim to survey the security risks and defects in identity verification systems that are based on biometrics, and try to suggest risk management solutions in order to increase the security factor whenever using such systems.
3D from 2D for Nano images using images processing methods
Authors: Abousalem Zib ziab
Published: May 2018

The scanning electron microscope (SEM) remains a main tool for semiconductor and polymer physics but TEM and AFM are increasingly used for minimum size features which called nanomaterials. In addition some physical properties such as microhardness, grain boundaries and domain structure are observed from optical and polarizing microscope which gives poor information and consequentially the error probability of discussion will be high.Thus it is natural to squeeze out every possible bit of resolution in the SEM, optical and polarizing microscopes for the materials under test. In our paper we will tackling this problem using different image processing techniques to get more clarify and sufficient information.In the suggested paper we will obtain set of images for prepared samples under different conditions and with different physical properties. These images will be analyzed using the above mentioned technique which starting by converting the prepared samples images (gray scale or colored images) to data file (*.dat) in two dimensional using programming. The 2D data will convert to 3D data file using FORTRAN programming. All images will subject to the generate filter algorithm for 3D data file. After filtering the 3D data file we can establish histogram, contours and 3D surface to analysis the image. Another technique will be prepared using Visual FORTRAN for steepest descent algorithm (SDA) which gives the vector map for the obtained data. Finally the depth from one single still image will be created and determine using OpenGL library under Visual C++ language, as well as, perform texture mapping. The quality of filtering depends on the way the data is incorporated into the model. Data should be treated carefully. From our paper we can analysis any part from any image without reanalysis the image, all size of the image as in this paper we take three samples with different size (256 * 256), (400 * 400), (510 * 510), this method decrees the cost of hardware and sample.
3D from 2D for Nano images using images processing methods
Authors: Abousalem Zib ziab
Published: May 2018

The scanning electron microscope (SEM) remains a main tool for semiconductor and polymer physics but TEM and AFM are increasingly used for minimum size features which called nanomaterials. In addition some physical properties such as microhardness, grain boundaries and domain structure are observed from optical and polarizing microscope which gives poor information and consequentially the error probability of discussion will be high. Thus it is natural to squeeze out every possible bit of resolution in the SEM, optical and polarizing microscopes for the materials under test. In our paper we will tackling this problem using different image processing techniques to get more clarify and sufficient information. In the suggested paper we will obtain set of images for prepared samples under different conditions and with different physical properties. These images will be analyzed using the above mentioned technique which starting by converting the prepared samples images (gray scale or colored images) to data file (*.dat) in two dimensional using programming. The 2D data will convert to 3D data file using FORTRAN programming. All images will subject to the generate filter algorithm for 3D data file. After filtering the 3D data file we can establish histogram, contours and 3D surface to analysis the image. Another technique will be prepared using Visual FORTRAN for steepest descent algorithm (SDA) which gives the vector map for the obtained data. Finally the depth from one single still image will be created and determine using OpenGL library under Visual C++ language, as well as, perform texture mapping. The quality of filtering depends on the way the data is incorporated into the model. Data should be treated carefully. From our paper we can analysis any part from any image without reanalysis the image, all size of the image as in this paper we take three samples with different size (256 * 256), (400 * 400), (510 * 510), this method decrees the cost of hardware and sample.
Three Factor Authentication using Webcam for securing Online Transaction
Authors: Hirlekar Vaishali
Published: May 2018

There are a continuously growing number of customers who use Online Transaction facility due to its convenience. But the security and privacy of Information may be one of the biggest concerns to the users. In face of the current security issues and the growing number of attacks and consequent frauds, new systems should be designed as to provide better authentication and identification methods. A generic and secure framework is proposed to upgrade two-factor authentication to three-factor authentication. A well designed three-factor authentication protocol authentication system can greatly improve the information assurance at low cost. In three-factor authentication, in addition to furnishing their regular password and an OTP, users will be asked to provide biometric information would irrefutably prove their identity. This fingerprint biometric information can be captured by using low cost sensors such as Web Cam. In this paper, we investigate new technique to suitably process camera images of fingertips in order to produce image which are as similar as possible to the ones coming from dedicated sensors. The proposed technique encompasses a segmentation, enhancement and matching of the fingertip image for the person's identifiaction.
A Novel Approach Covert Channel for Secret Communications
Authors: Hadi Ali Hussein
Published: May 2018

This paper presents a novel covert channel for secret communications. It implements a new application layer covert channel, by applying multimedia steganography techniques to hide secret messages. This new channel method (called Under Your Radar (UYR)) provides a stealthiness method for the communication channel and an efficient method for hiding messages, as proved by our investigations. Such a covert channel will be used for transferring secret messages in two phases. In phase one, the message characters will be embedded randomly into the pixels of video frames. The choice of pixels is dependent on finding an identical value of the character ASCII representation from one of the pixel channels. The positions of pixels will form the steganography key, which will be used later to extract the message. Also, the steganography key will be embedded in an image using the LSB steganography technique. In phase two, the secret message will be exchanged between the sender and the receiver by sharing the video along with the steganography key over a public service (e.g.  a social network), which serves as the new covert communication channel. The experiments outcomes have showed an improvement on the success of the proposed covert channel in exchanging secret messages without rising suspicion by observers or detection tools.
A Novel Way to Detect Hard Exudates Using Dynamic Thresholding Technique in Digital Retinal Fundus Image
Authors: Banerjee Sreeparna , Kayal Diptoneel
Published: May 2018

Diabetic retinopathy is considered to be one of the major causes of blindness among diabetes mellitus patients. Due to diabetic retinopathy blood vessels of retina gets damaged and fat, lipoprotein substances gets leaked out of the damaged blood vessels and are deposited in the intra retinal space. These substances are viewed as yellowish or whitish in color and are termed as exudates. They are the most important visible sign of the presence of diabetic retinopathy. Exudates are of two types, (a) hard exudates and (b) soft exudates. If the disease is not detected in early stages then it may lead to complete loss of vision to the diabetes patients. Detection of exudates is extremely difficult to detect by visual inspection due to small inner diameter of retina and inadequate lighting conditions. An efficient image analysis program can detect the presence effectively. In this paper we have proposed an automatic method for detection of hard exudates. The proposed method exhibits a sensitivity of 97.60% and specificity of 93% and accuracy of 95.70%.
ON PROBABILTY DISTRIBUTION IN ASSOCIATION WITH A CERTAIN GENERALIZED HYPERGEOMETRIC FUNCTION
Authors: Singh Yashwant , Kulkarni Nanda
Published: May 2018

In the present paper, a probability function has been introduced in terms of the -function and its properties are studied. It is shown that the classical non-central distributions such as, non-central chi-square, non-central Student- , non-central and almost all classical central continuous distributions can be obtained as special cases of this general density function. This general density function is introduced with the hope that any density function, which can be represented in terms of any known special function as well as the density of the ratio of any two independent stochastic variables whose density functions can be represented in terms of any known special functions, is contained in as a special case. The properties of , discussed in this paper, include the characteristic function, moments, recurrence relationship among moments and the distribution function.
Retrieving information chunks from a repository of documents SIT Collected from heterogeneous sources
Authors: Alwan Raad , Al-Hamadani Baydaa
Published: May 2018

XML documents are generated from heterogeneous resources. They may share the same data but in different Schema, which make it difficult to retrieve information from them. In this paper we propose a new technique that first; minimizes the size of the XML documents by reducing the redundancy of the structure part and generate the repository for these documents, and second; relaxes and decomposes the XPath query in two stages to determine the relevant documents and the relevant part within these documents. The results show significant precision and recall comparing with the exact XPath queries.
Performance of Modified Silicon-Based Optical Leaky-Wave Antenna Structures
Authors: Hummadi Ali A. , Fyath Raad Sami
Published: May 2018

Conventional silicon-based optical leaky-wave antennas (OLWAs) have been investigated in the literature as high directivity narrow-beam radiators with steering capability and designed for 1550 nm operation using single-grating layer. In this paper, two modifications are introduced to the conventional silicon-based OLWA. The first modification is to redesign the structure for 1300 nm operation and to compare the radiation parameters with those of the 1550 nm counterpart. The second modification is to design and investigate the performance of a double-grating OLWA which is useful for double-beam steering.
A CHAOTIC BAT ALGORITHM FOR SOLVING DEFINITE INTEGRAL
Authors: AL-Wagih Khalil
Published: May 2018

In this paper, an Improved Bat Algorithm with Chaos (IBACH) is presented for solving definite integral. The IBACH satisfies the question of parallel calculating numerical integration in engineering and those segmentation points that are adaptive. Several numerical simulation results show that the algorithm offers an effective way to calculate numerical value of definite integrals; it has a high convergence rate, a high accuracy and robustness.
Evaluating a Model for Implementing Knowledge Management in Banking Informatics Corporations in Iran
Authors: Siadat Seyed Hossein , Surani Azadeh , Seyf Saeideh , Mohaghegh Reza
Published: May 2018

The purpose of this paper is to measure the perceived importance and practical establishment of five factors affecting successful establishment of knowledge management (KM) in banking informatics corporations in Iran based on Barney model. The five Factors examined include business strategy, organizational structure, knowledge management team, knowledge accounting, and knowledge map. For this purpose, 24 questionnaire surveys were distributed among three leading organizations of brilliant history in banking informatics services. The middle and senior managers were selected as sample using simple random method. The findings showed that the managers were averagely aware of the importance of factors influencing knowledge management establishment. However, these factors are given less attention regarding practical establishment. Following the survey, the five factors were rated. Regarding the perceived importance, organization strategy was the most important factor in the success of knowledge management. Other factors are ranked in order of importance: organizational structure, knowledge management team, knowledge map, and knowledge audit. Overall, all the factors contributing to the success of knowledge management in the banking organization are considered to have medium importance, but these are less executed.
Eigen Faces and Principle Component Analysis for Face Recognition Systems: A Comparative Study
Authors: Tamimi Abdelfatah Aref , Al-Allaf Omaima Nazar , Alia Mohammad Ahmad
Published: May 2018

Face recognition has been largely used in biometric field as a security measure at air ports, passport verification, criminals' list verification, visa processing, and so on. Various literature studies suggested different approaches for face recognition systems and most of these studies have limitations with low performance rates. Eigenfaces and principle component analysis (PCA) can be considered as most important face recognition approaches in the literature. There is a need to develop algorithms and approaches that overcome these disadvantages and improve performance of face recognition systems. At the same time, there is a lack of literature studies which are related to face recognition systems based on EigenFaces and PCA. Therefore, this work includes a comparative study of literature researches related to Eigenfaces and PCA for face recognition systems. The main steps, strengths and limitations of each study will be discussed. Many recommendations were suggested in this study.
On multi-objective linear programming problems with inexact rough interval-fuzzy coefficients
Authors: Ammar E. E. , Hussein M. L. , Khalifa A. M.
Published: May 2018

This paper deals with a multi-objective linear programming problem with an inexact rough interval fuzzy coefficients IRFMOLP. This problem is considered by incorporating an inexact rough interval fuzzy number in both the objective function and constrains. The concept of "Rough interval" is introduced in the modeling framework to represent dualuncertain parameters. A suggested solution procedure is given to obtain rough interval solution for IRFLP(w) problem. Finally,two numerical example is given to clarify the obtained results in this paper.
Enhanced Cloud Computing Framework to Improve the Educational Process in Higher Education: A case study of Helwan University in Egypt
Authors: Hessen Shrouk hossam
Published: May 2018

Cloud Computing (CC) becames the most promising technology to reach the advanced educational services, because it essentially provides a huge computing and storage capacities. Cloud computing provides reliable and tailored dynamic computing environments for education services. On the other side, e-learning has been realized as an efficient way of learning. The increasing number of students, services, education contents and resource as well as the way of adapting e-learning becomes problematic. As a potential technology to overcome the problems in e-learning, this study explores the potntial impacts and the measure of how the educational services can be benefited by cloud. For that purpose the study attampt to adapt a proposed framework for virtual learning system in an extended cloud computing environment. This framework can be applied everywhere where there is a need for intensive teaching and learning in higher education. The applied case study findings of implementing the proposed framework equate the study expectations, where the students satisfaction significantly increased compared with the existing system
LOAD BALANCING ISSUES AND ITS SOLUTION IN CLOUD COMPUTING: A REVIEW
Authors: Bharti Settu , Singh Naseeb
Published: May 2018

Cloud computing is an emerging paradigm in the computer industry where the computing is moved to a cloud of computers. Cloud computing is a way to increase the capacity or add capabilities dynamically without investing in new infrastructure, training new personnel, or licensing new software. This paper is focused on the load balancing issues of cloud computing and techniques to overcome the waiting time and turnaround time. Load Balancing is done with the help of load balancers where each incoming request is redirected and is transparent to client who makes the request. Based on predetermined parameters, such as availability or current load, the load balancer uses various scheduling algorithm to determine which server should handle and forwards the request on to the selected server.
Enhancing Cloud Computing Security by Using Pixel Key Pattern
Authors: Kaur Randeep , Kaur Jagroop
Published: May 2018

Cloud is a term used as a metaphor for the wide area networks (like internet) or any such large networked environment. It came partly from the cloud-like symbol used to represent the complexities of the networks in the schematic diagrams. It represents all the complexities of the network which may include everything from cables, routers, servers, data centers and all such other devices. Cloud based systems saves data off multiple organizations on shared hardware systems. Data segregation is done by encrypting data of users, but encryption is not complete solution. We can do segregate data by creating virtual partitions of data for saving and allowing user to access data in his partition only. We will be implementing cloud security aspects for data mining by implementing cloud system. After implementing cloud infrastructure for data mining for cloud system we shall be evaluating security measure for data mining in cloud. We will be fixing threats in data mining to Personal/private data in cloud systems.Â Â
An Environment for detection of Bugs through SVM
Authors: Kaur Ramanpreet
Published: May 2018

Mining technique finds hidden patterns from the data stored in the repositories and turn it into useful information and knowledge. Most open source software development projects include an open bug repository in which users of the software can gain full access. Training data size for bug priority classification using SVM.In this paper, calculate the precision and recall of different features categories for each class. The bug report having status value NEW, UNCONFIRMED, ASSIGNED bugs are not included in our training .because the priority level of these classifications may not be authentic. A triggerâ€™s task is to manage the bug repository so that it contains only real bugs and important bugs are addressed quickly. We also use the precision and recall that can be used to measure the accuracy of the classifier. For a bug priority classification we need high precision and recall especially for higher priorities.
EVOLVING INFORMATION TECHNOLOGY: OPPORTUNITIES AND CHALLENGES
Authors: Shirandula Ayub hussein
Published: May 2018

The rapid Information technology evolution is fast becoming a change agent in the ways we conduct business and social interaction. Due to the increasing number of regulations and policies regarding information technology and also sustainable development, the issues of the cost, efficient, sharing, reuse and recycling matters have become the core challenges. As a consequence, this paper discusses the current physical infrastructure, broadband speed, and increasing bandwidth, that has lead to the transition of the television, radio broadcasting, and print media to digital technology convergence. The convergence of new technology is expected to continue evolving over the next decade, creating new opportunities and challenges. Location based services are expected to evolve through devices or objects with radio frequency identification (RFID) and Global Positioning System (GPS) connectivity. Traditional and new media are and will keep on increasing the social networking market due to the growth in online advertising revenue. Cloud computing will offer scale flexibility and cost efficiency. It will have the potential to be highly disruptive to desktop computing technology within the next few years. The paper highlights some opportunities, challenges and suggests some risks mitigation strategies.Â
An Improved Min-Min Task Scheduling Algorithm with Grid Utilization and Minimized Makespan
Authors: Singh Lalla , Agarwal Neha
Published: May 2018

Grid computing is hardware and software infrastructure which offers a economical, distributable, coordinated and credible access to strong computational abilities [1]. For optimal use of the abilities of large distributed systems, necessitate for successful and proficient scheduling algorithms is enforced. For diminution of total completion time and improvement of load balancing, many algorithms have been executed. In this paper, our goal is to propose new scheduling algorithm based on well known task scheduling algorithm i.e. Min-Min[1]. The proposed algorithm tries to use the advantages of this basic algorithm and excludes its drawbacks with better grid utilization and minimized makespan. In comparison to existing algorithms like Min-Min and improved Min-Min algorithm[1], our proposed algorithm is achieving better results for considered parameters.
Implementation of packet scheduling algorithms in LTE-Sim
Authors: F. Abdallh Abdallh , Alharbi Naif , Sandrasegara Kumbesan
Published: May 2018

In this research paper we have implemented downlink packet scheduling algorithms in LTE-Sim simulation for LTE cellular networks. The implementation includes adding two packet scheduling algorithms (Round Robin and MaxRate). The performance of these algorithms is tested for various types of real time service (video) and non real time service(data) for fixed and mobile users at various speeds 3, and 120Km/h in LTE-Sim simulator. The simulation was setup with varying number of users 120 in fixed boundedregions of 1 km radius.The goal of this project is to study the simulation of Radio Resource Management (RRM) in 4G networks using LTE-Sim. In particular, it focuses on the comprehensive performance testing of packet scheduling algorithms (such as Max Rate, Round Robin, PF, MLWDF, EXP). The paper shows the results of implementing of these algorithms and testing their performance.
Feedback Based Conflict Identification and Resolution using Duplicate Elimination and Ranking Techniques
Authors: I Carol
Published: May 2018

Increase in the amount of data provides a huge scope for data analysts to operate and leverage information from them. Problems arise when the data varies in formats and their storage mechanisms become heterogeneous. Hence integration of data and its conversion to a common structure becomes mandatory. This paper presents a mechanism that operates on heterogeneous data sources, identifies conflicts and resolves them using duplicate elimination and ranking techniques. Further, a feedback mechanism is incorporated into the architecture, using which reinforcement learning is imposed on the architecture. This makes the proposed framework a machine learning architecture that is flexible and adapts according to the dynamic environment, which has become a de facto in the current scenario.
To Control Electrical MCBs using Hand Gesture Recognition
Authors: Goyal Sangeeta , Kumar Dr. Bhupesh
Published: May 2018

There has been growing interest in development of new techniques and methods for Human-Computer Interaction (HCI). Gesture Recognition is one of the important areas of this technology. Gesture Recognition means interfacing with computer using motion of human body typically hand movements. As a Handicapped person cannot move very easily and quickly if there is a fire in house or he/she cannot switch off the Miniature Circuit Breaker (MCB) but the same task can be done easily with hand gesture recognition. In our proposed system electrical MCB can be controlled using hand gesture recognizer. To switch on/off the MCB, we need to provide hand based gesture as an input to system.
HYBRID MODEL OF RSA, AES AND BLOWFISH TO ENHANCE CLOUD SECURITY
Authors: Kaur Jasleen , Bagga Sachin
Published: May 2018

Cloud is a term used as a metaphor for the wide area networks (like internet) or any such large networked environment. It came partly from the cloud-like symbol used to represent the complexities of the networks in the schematic diagrams. It represents all the complexities of the network which may include everything from cables, routers, servers, data centers and all such other devices. Cloud based systems saves data off multiple organizations on shared hardware systems. Data segregation is done by encrypting data of users, but encryption is not complete solution. We can do segregate data by creating virtual partitions of data for saving and allowing user to access data in his partition only. In our research work we have used the hybrid combination of RSA, AES and Blowfish for data encryption along with data fragmentation using Gateway.
Web Personalization With Web Usage Mining Technics and Association Rules
Authors: Kazeminuri G. , Harounabadi A. , Mirabedini J.
Published: May 2018

As amount of information and web development increase considerably, some technics and methods are required to allow efficient access to data and information extraction from them. Extracting useful pattern from worldwide networks that are referred to as web mining is considered as one of the main applications of data mining. The key challenges of web users are exploring websites for finding the relevant information by taking minimum time in an efficient manner. Discovering the hidden knowledge in the manner of interaction in the web is considered as one of the most important technics in web utilization mining. Information overload is one of the main problems in current web and for tackling this problem the web personalization systems are presented that adapts the content and services of a website with user's interests and browsing behavior. Today website personalization is turned into a popular event for web users and it plays a leading role in speed of access and providing users' desirable information. The objective of current article is extracting index based on users' behavior and web personalization using web mining technics based on utilization and association rules. In proposed methods the weighting criteria showing the extent of interest of users to the pages are expressed and a method is presented based on combination of association rules and clustering by perceptron neural network for web personalization. The proposed method simulation results suggest the improvement of precision and coverage criteria with respect to other compared methods.
Robust Estimators in Fuzzy Logic Cellular-Automata Salt and Pepper Noise Filtering
Authors: LaVigne Nicholas , Bilgic Yusuf
Published: May 2018

In order to increase the performance of computational algorithms in terms of efficiency of estimators, we tested new nonparametric estimators in fuzzy and cellular automata models.Â  In particular, image de-noising algorithms exist to restore digital images corrupted by impulse noise.Â  These algorithms may do poorly in many common cases, for example, when high contrast and sharp edges lead to outliers, spikes, or non-symmetric patterns for neighborhing pixels.Â  This would stem from the choices of estimators in the algorithms. We investigated new nonparametric estimators and compared to existing methods in simulation study. We detected better performances of our new methods under various situations.
PERFORMANCE ANALYSIS OF SELECTED MEDICAL IMAGE SEGMENTATION ALGORITHMS.
Authors: A.S Falohun , O.T Arulogun , W.O Ismaila , J.A Awokola
Published: May 2018

The ability to understand images is one of the key areas of research where the target is to understand the components of an image and interpret its meaning. The components of images are not easily understood and interpreted for analysis, therefore image segmentation technique is very necessary and should be taken as significant step during image processing and analysis. Repeatable experiments are required for this research field to progress as image segmentation needed for data processing cannot be adequately achieved in a particular technique. Hence performance analysis of various, commonly used techniques are often needed. However, in this work, three classes of image segmentation algorithms: Edge Detection, Clustering and Thresholding method were simulated in MatLab on infected bladder. The experiments were performed three times to confirm the accuracy of the results evaluated with Dice, Jaccard and cosine co-efficient of fitness values.
An Analysis of Comment-Revision Thresholds in Bilingual Electronic Meetings
Authors: Garner Bart , Aiken Milam
Published: May 2018

Prior studies have shown that providing participants in bilingual or multilingual, electronic meetings with the capability of revising comments can increase the accuracy of translations to other languages. This is often done via a round-trip translation (RTT) in which the source text is translated to another language, translated back again, and compared with the original. If the similarity falls below a certain threshold, e.g. 50%, the originator may wish to revise the comment before final submission. However, minor changes might not be needed, and it is not clear where the threshold lies between acceptable and non-acceptable text. In this study, we seek to determine at what point accuracy can be improved by comment revision. Results show that the threshold did not affect the target-language comprehension, but higher thresholds substantially increased the cognitive burden for users in the form of alerts and comment revisions.
Enhancement of dynamic load balancing using Particle Swarm Algorithm in Cloud Environment
Authors: Bansal Ginni , Kaur Amanpreet
Published: May 2018

Dynamic load balancing with decentralized load balancer using PSO technique: Cloud consists of multiple resources and various clients request to the cloud for allocation of shared resources. Each request will be allotted to the virtual machines. In different situation different machines get different load. So to balance the load amongst different virtual machines decentralized load balancer is enhanced using particle swarm algorithm. The main objective is reducing the energy and increasing the throughput in comparison to centralized and simple decentralized load balancer using particle swarm optimization.
Design of Administration System in Client Side Using Oracle Form Builder
Authors: Arb Ghusoon Idan
Published: May 2018

This paper focuses on the creation of a single system for distribution to a team of developers. Oracle Form Builder are popular and made the function of project expansion easier and comparably faster to reduce costs and improve service levels for users. Design of administration system in client side is made available to employees to assist them in the performance of their job duties. Both Oracle Database and MySQL are strong relational database management systems that effectively run great amounts of data. Oracle Database is a full distinct database engine that has successfully passed severe security exams and has excelled in performance benchmarks. With built-in backup for PL/SQL and Java. OracleÂ focusing on Java for next generation commerce applications.
POWER EFFICIENT TASK SCHEDULING MECHANISM IN CLOUD ENVIRONMENT: A REVIEW
Authors: Abhilasha Abhilasha , Gupta Dr. Anupama
Published: May 2018

Cloud Computing is being used widely all over the world by many IT companies as it provides various benefits to the users like cost saving and ease of use. However, with the growing demands of users for computing services, cloud providers are encouraged to deploy large datacenters which consume very high amount of energy and also contribute to the increase in carbon dioxide emission in the environment. Therefore, we require to develop techniques which will help to get more environment friendly computing i.e. Green Cloud Computing. In this paper, we have reviewed the existing mechanisms and a new strategy to reduce the carbon dioxide emissions in federated Cloud ecosystems. More specifically, we propose a solution that allows providers to determine the best green destination to reduce the carbon dioxide emissions of the whole federated environment.
An Interactive Web-Based Tool For Teaching Computer Programming
Authors: Abdel-Raouf Amal
Published: May 2018

Lab time dedicated to programming practice in most schools is typically not sufficient for students to succeed as professional programmers. In this paper, we introduce an interactive tool for teaching computer programming. The tool can be used outside the classroom as it is web-based, can be easily integrated with any management learning environment such as BlackBoard, and provides better opportunities for distance learning and online education programs. The tool engages students as active learners and considers student learning styles to effectively improve the learning process. Our experimental study shows that using our tool significantly increased the achievement percentage of our class learning outcomes.
A REVIEW OF SOME CONTENTIOUS ISSUES IN ELECTORAL MATTERS IN NIGERIA1
Authors: IGUH IGUH , ADAORA AMAKA
Published: May 2018

The laws that govern elections in Nigeria are the Constitution2and the Electoral Act.3The Constitution is the supreme and most important law of the country. Section 1 (3)4makes it clear that if any other law is inconsistent with the provisions of the constitution that other law shall be void to the extent of the inconsistency. The courts have also upheld that section in countless decisions5for this reason alone any law dealing with elections that contradicts the provisions of the Constitution will be of no effect. The Constitution also provides clearly that the Government of Nigeria or any part thereof shall not be governed or controlled by any person or group of persons except in accordance with the provisions of the Constitution.6In other words, no one can occupy elective offices at the local, state or federal level unless he or she has been elected in accordance with the provisions of the Constitution or any law made in accordance with the Constitution. Apart from the laws on election, electoral bodies are equally established to help in conducting election in Nigeria. There are various contentious issues in our electoral matters which have not been resolved by the legislators. Some which the legislators tried to resolve by enactment of laws, but which still have some aspects to be looked into. These issues are numerous but the writer will review some of them.
Logical Database Design
Authors: Hamad Dana Rasul
Published: May 2018

The design, development and implementation of every database are mainly to serve as an information hub for organisations. The database is a key factor to the success of most organisations. The process of designing a database usually takes numerous steps which involves the use of various tools and techniques during the design so as to ensure that the database provides data that is of good quality and correct at the same time. This write up is going to contain a reflection on an assignment submitted for the design of a database for a company called courtesy active mobile phones. Various database design tools such as class diagrams use case models and Entity relational diagram were used for the design of the database.
An efficient Scheme to Remove Low Density Impulse Noise From A Digital Image
Authors: Abdeljalil Al-Balqa Dr. Jihad N.
Published: May 2018

An improved adaptive noise reduction scheme for images that are highly corrupted by Salt-and-Pepper noise(impulse noise), is proposed in this paper which efficiently removes the salt and pepper noise while preserving the details. The proposed scheme efficiently identifies and reduces salt and pepper noise. The algorithm utilizes an IIR filter with controlled parameters to get better image quality than the existing methods of noise removing. A comparative analysis between the proposed scheme and other techniques of noise reduction or removing is presented in order to show the advantages of the proposed scheme in removing the noisy pixels and producing a better PSNR.
CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT: A REVIEW
Authors: Singh Jagdeep , Luthra Mr. Pawan
Published: May 2018

In present days cloud computing is one of the greatest platform which provides storage of data in very lower cost and available for all time over the internet.But it has more critical issue like security, load management and fault tolerance. In this paper we are discussing Load Balancing approach. Many types of load concern with cloud like memory load, CPU load and network load. Load balancing is the process of distributing load over the different nodes which provides good resource utilization when nodes are overloaded with job. Load balancing has to handle the load when one node is overloaded. When node is overloaded at that time load is distributed over the other ideal nodes. Many algorithms are available for load balancing like Static load balancing and Dynamic load balancing.
Time Effective Vehicle Booking: A Novel Data Online Cluster Search Recommender System
Authors: Priyanka Priyanka , Babulal Kanojia Sindhuben
Published: May 2018

In mundane life of everyone, people are tending towards extracting some external knowledge provided by recommendations so as to get decisive about an artifact of interest. Recommender systems or sometimes also called as recommender engines automates the process of recommendations. They are of three types: content based approach, collaborative approach and hybrid approach. In this thesis improvisation of hybrid approach is executed by proposing and developing a Data Rendering Cluster Search approach. Mechanisms of both the approaches are almost similar, basic difference though lies in the technique of portioning of the dataset fed to both the algorithms. In Data Rendering Cluster Search approach location is partitioned forming clusters and searching is done into the cluster nearest to the user to provide cab recommendations, thereby giving better time minimization than hybrid approach. Data Rendering Cluster Search is user friendly and easy to anticipate. It provides better time efficiency and high accuracy than former approach and thus can be counted as one of the best location based recommender system.
Social dimensions of distance postgraduate education in Greece
Authors: KARAOULANIS ANDREAS
Published: May 2018

Although distance learning has no less effectiveness than on campus education (Young J, 2000), is still unclear why Greek students adopt the HOU for their postgraduate studies. This research addresses the following questions: â€œWhat makes the Greek students to decide to pursue their postgraduate degree via the HOU instead of the on campus one? Which are the factors affecting their decision? Which are the most important of them?â€ This research followed the survey methodology with the use of email questionnaires which followed the snow ball technique, while the results were analysed by the Dedoose software. The findings indicated that reasons like financial needs, time, flexibility and job prospects are influencing students towards their decision, while factors like family and friends are the catalysts in that direction. Our analysis suggests that the results can help HOU understand that need to help students overcome their contemporary societal barriers towards a better future.
REGION GROWING IMAGE SEGMENTATION ON LARGE DATASETS USING GPU
Authors: Kaur Gurpreet , Jindal Sonika
Published: May 2018

Image segmentation is an important image processing, and it seems everywhere if we want to analyze what inside the image. There are varieties of applications of image segmentation such as the field of filtering noise from image, medical imaging, and locating objects in satellite images and in automatic traffic control systems, machine vision in problem of feature extraction and in recognition. This paper focuses on accelerating the image segmentation mechanism using region growing algorithm inside GPU (Graphical Processing Unit). In region growing algorithm, an initial set of small areas are iteratively merged according to similarity constraints. We have started by choosing an arbitrary seed pixel and compare it with neighboring pixels. Region is grown from the seed pixel by adding in neighboring pixels that are similar, increasing the size of the region. When the growth of one region stops we simply choose another seed pixel which does not yet belong to any region and start again. This whole process is continued until all pixels belong to some region. If any of the segment makers has the fusion cost lower than the maximum fusion cost (a given threshold), it is selected to grow. Avoid information overlapping like two threads attempting to merge its segment with the same adjacent segment.Â  Experiments have demonstrated that the proposed shape features do not imply in a significant change of the segmentation results, as long as the algorithmâ€™s parameters are properly adjusted. Moreover, experiments for performance evaluation indicated the potential of using GPUs to accelerate this kind of application. For a simple hardware (GeForce 630M GT), the parallel algorithm reached a maximum speed up of approximately 20-30% for different datasets. Considering that segmentation is responsible for a significant portion of the execution time in many image analysis applications, especially in object-oriented analysis of remote sensing images, the experimentally observed acceleration values are significant. Two variants of PBF (Parallel Best Fitting) and PLMBF (Parallel Local Mutual Best Fitting) have been used to analyze the best merging cost of the two segments. It has been found that the PLMBF has been performed better than PBF.Â  It should also be noted that these performance gains can be obtained with low investment in hardware, as GPUs with increasing processing power are currently available on the market at declining prices. The parallel computational scheme is well suited for cluster computing, leading to a good solution for segmenting very large data sets.
PUBLIC KEY ENCRYPTION WITH CONJUNCTIVE FIELD FREE KEYWORD SEARCH SCHEME
Authors: ALI FAIROUZ SHER , LU SONG FENG
Published: May 2018

Searchable encryption allows a remote server to search over encrypted documents without knowing the sensitive data contents. Prior searchable symmetric encryption schemes focus on single keyword search. Conjunctive Keyword Searches (CKS) schemes improve system usability by retrieving the matched documents. In this type of search, the user has to repeatedly perform the search protocol for many times. Most of existent (CKS) schemes use conjunctive keyword searches with fixed position keyword fields, this type of search is not useful for many applications, such as unstructured text. In our paper, we propose a new public key encryption scheme based on bilinear pairings, the scheme supports conjunctive keyword search queries on encrypted data without needing to specify the positions of the keywords where the keywords can be in any arbitrary order. Instead of giving the server one trapdoor for each keyword in the conjunction set, we use a bilinear map per a set of combined keywords to make them regarded as one keyword. In another meaning, the proposed method will retrieve the data in one round of communication between the user and server. Furthermore, the search process could not reveal any information about the number of keywords in the query expression. Through analysis section we determine how such scheme could be used to guarantee fast and secure access to the database.
A Survey on Cloud Computing and Its Benefits
Authors: Abhilasha Abhilasha
Published: May 2018

Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is very popular paradigm in the field of computer science where heterogeneous services are delivered to an organization's computer through the Internet. It allows individuals and businesses to access the applications without installation and can access their personal files on any internet connected computer or laptop. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have conducted a survey on the models of cloud environment, benefits and issues related to it.Â