bluuebunny/crossref_metadata_2025 huggingface dataset:
A new insight into Wavelet Transforms using the concepts of Frame Theory
Authors: Paul Tuhin Utsab , Chakraborty Sayantan , Mukhopadhyay Saikat , K. Bandhyopadhyay Dr. Samir
Published: May 2018

Wavelet analysis being a relatively new subject of study is being explored, all around the globe, using various mathematical tools, currently available. This paper is a humble attempt to provide a comprehensive study of the same, by means of exhaustive mathematical analysis. Since frame theory has been established as a standard notion in applied mathematics, so it was used as the analytical tool to explain the formation, purpose and use of wavelets. The theoretical explanation follows the mathematical analysis, which is an attempt to give picture the â€˜theoremsâ€™, â€˜definitionsâ€™ and the â€˜lemmasâ€™.
Are We Really Preparing Preservice Teachers to Teach with Technology in the Classroom?
Authors: Karsenti Thierry , Villeneuve StÃ©phane
Published: May 2018

Are Quebecâ€™s future teachers well prepared to integrate information and communication technologies (ICT) into the classroom? To answer this question, 2,065 teachers-in-training from nine universities offering teacher orientation training were surveyed. Results show that teachers-in-training have access to the equipment required to familiarize themselves with ICT and have largely mastered the basic technological tools. Moreover, they regularly and critically use ICT to plan, communicate, research information, prepare instructional materials, solve problems, and upgrade their professional skills. Despite this very optimistic picture, results also indicate that only a very small portion of teachers-in-training use ICT in the classroom. The study concludes with some recommendations.
A Case study on Enterprise Collaboration and Interoperability in the Cloud
Authors: Oman Simon
Published: May 2018

Increasingly, current software enables large and small companies to interact via cloud computing. Services offered in the cloud facilitate collaboration between databases and are a part of the information infrastructure that allows companies and organisations to move or integrate data within the cloud. This paper presents an analysis of the use of open source services that support cloud-based enterprise collaboration and interoperability. A practical case of an application of enterprise collaboration in the field of product development and production planning in the Slovenian automotive sector is presented. The results of solutions enable small and medium-sized companies, which have limited financial assets, to purchase one of the legacy systems and to become integrated within the supply chain of the automotive cluster of Slovenia. At the same time, the paper strives to establish the difference, if any, between conventional collaboration among companies and enterprise collaboration and interoperability in the cloud.
CUSTOMERS PERCEPTIONS OF MOBILE BANKING USING THE TECHNOLOGY ACCEPTANCE MODEL FOR SELECTED BANKING OUTLETS IN GAUTENG, SOUTH AFRICA
Authors: K Garg Prof. Ajay , Garg Mrs. D. , Ledwaba Mr. K.S.
Published: May 2018

Much of the available literature that has examined the diffusion of mobile banking has tended to focus on the developed societies where these innovations had initially been introduced. As such, there is a paucity of studies on the diffusion of innovations that have focused on mobile banking in developing contexts generally and in particular in South Africa. This study focused on convenience, cost/price, trust and the original variables of the extended technology acceptance model by Venkatesh and Davis (2000). The study has further explored the main influencers for mobile banking among customers on the basis of their perceptions of important attributes of the electronic banking technology.
A Novel Chaos-Based Stream Cipher for Image Encryption
Authors: Abd-El-Hafiz Salwa K. , A. Fuad Gamal , Sayed Lina A.
Published: May 2018

In this paper, we introduce a novel chaos-based image encryption scheme. We perform our scheme using both the binary form and decimal form of chaotic maps. We also use two chaotic maps; one generates the initial values of the other. Thus, we utilize the best two properties of chaos ergodicity and sensitivity to the initial value. We increase the security of the cipher by introducingÂ  a reverse order round to resist cryptanalysis attacks.
A Hybrid Multi-Word Terms Extraction System Applied to Topic Detection
Authors: Koulali Rim , Meziane Abdelouafi
Published: May 2018

Mutli-word Terms extraction plays an important role in many Natural Language Processing (NLP) tasks. Despite their major importance, few works were dedicated to Arabic multi-word terms extraction. This paper proposes an automatic Arabic multi-word terms (MWTs) extraction system based on two major filtering steps: linguistics filter using a part-of-speech tagger along with morphological patterns and statistical filter based on probabilistic methods, namely: Log-Likelihood Ratio (LLR) and C-value. We evaluate the performances of the realized systems on Wattan; an Arabic oriented topic newspaper corpus. Our system manages to achieve 90.23% in term of multi-word extraction precision. We also study the use of MWTs as features in Arabic Topic Detection. The conducted experiments show good results.
Overview of the levels of ICT and information literacy skills in Canadas preservice teachers
Authors: Karsenti Thierry , Collin Simon , Dumouchel Gabriel
Published: May 2018

To better understand the strong relationship between ICT and information literacy competencies, this short paper first describes their roles in the various education levels in Canada, including initial teacher training. We then provide an overview of empirical studies on the levels of ICT and information literacy competencies in Canadas preservice teachers and offer explanations for these levels. We conclude by proposing solutions to improve the situation, notably through effective approaches to training Canadas future teachers in ICT and information literacy competencies.
Theoretical and Computational Perspectives of Arabic Morphological Analyzers and Generators : Theoretical Survey
Authors: Maabid Abdelmawgoud Mohamed , Elghazaly Tarek
Published: May 2018

Morphology analysis is an essential part of most applications of natural language processing (NLP) which included different applications like Machine Translation (MT) and language rule based Information Retrieval (IR). Many Arabic morphological systems had built for different purposes with different algorithms and approaches; this paper is considered a survey of Arabic Morphological system from researchersâ€™ perspectives and approaches used to build them. Based on this survey; in the first part of this paper; the perspective of Arabic morphological systems had been classified into two major issues; one of them is the theoretical perspective and the second is the computational perspective of Arabic morphology.Â  While the second part of this paper deals with approaches used to build the Arabic Morphology systems itself which are Table Lookup Approach, Combinatorial Approach, Linguistic Approach, Traditional Approaches, Finite-state Automata and Two-Level Morphology Approach and Pattern-Based Approach.
EFFECT OF NON-IMAGE FEATURES ON RECOGNITION OF HANDWRITTEN ALPHA-NUMERIC CHARACTERS
Authors: Adeyanju Ibrahim , Fenwa Olusayo , Omidiora Elijah
Published: May 2018

Handwritten character recognition has applications in several industries such as Banking for reading of cheques and Libraries/ National archives for digital searchable storage of historic texts. The main feature typically used for the recognition task is the character image. However, there are other possible features such as the hand (left or right) used by author, number of strokes and other geometric features that can be captured when writing on digital devices.Â  This paper investigates the effect of using some non-image features on the recognition rate of three classifiers: Instance Based Learner (IBk), Support Vector Machines (SVM) and the Multilayer Perceptron (MLP) Neural Network for singly-written alpha-numeric character recognition. Our experiments were conducted using the WEKA machine learning tool on offline and online handwritten acquired locally. A percentage split (66%-34% train-test) evaluation methodology was adopted with the classification accuracy measured. Results indicate that non-image additional features improved the accuracy across the three classifiers for the online and offline character datasets. However, this improvement was not statistically significant. SVM gave the best accuracy for the online dataset while IBk performed better than the other two classifiers for the offline dataset. We intend to investigate the effect of non-image features at other levels of text granularity such as words and sentences
A New Approach For Load Balancing In Cloud Computing
Authors: Rathore Rahul , Gupta Bhumika , Sharma Vaibhav , Gola Kamal Kumar
Published: May 2018

Cloud computing is the dynamic delivery of information technology resources and capabilities as a service over the Internet. Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. It generally incorporates infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). [1] Load balancing is one of the biggest challenges in the cloud computing. The concept of load balancing is to equally distribute the workload, resources across all the nodes to guarantee that all the nodes have equal load i.e. no single node is over loaded. As we all know that cloud computing services are mainly product based so in this approach we are using different product based priority queues for different services.
Filtering and Transformation Model for Opinion Summarization
Authors: Rao Ms. Ashwini , Shah Dr. Ketan
Published: May 2018

The rapid evolution of Micro blogging sites such as Blogs & Twitter facilitate people to post real time messages about their opinions on a variety of topics inclusive of products they use in their daily life. Summarizing opinions of bloggers has several interesting and commercially significant applications like helping the customer to reach purchasing decisions and as a guide for the business activities of companies such as product improvement & market adoption.The paper explores the data characteristicsâ€™ of Tweets/ Reviews which can be centrepiece of a conversation & provide excellent channel for opinion creation. The short length of the messages and their noisy nature makes it difficult to mine the micro blog data for opinions. Also the infrequent entities such as people, organization, products etc. and user creativity followed by freedom of language hinder the task of Opinion summarization. The paper demonstrates the major role played by Filtering and Transformation techniques in choosing representative words which is the basis for Features extraction in the task of Opinion summarization. The paper concludes by proposing a framework for pre-processing which emphasises that feature reduction is an important step in Feature based summarization while not compromising on accuracy.
Cooperative Intrusion Detection Technique in Wireless Sensor Networks
Authors: S. Eissa Nour El Din , I. Selim Gamal
Published: May 2018

Wireless Sensor Networks (WSN) are becoming more and more popular everyday due to their increasing ability to monitor certain phenomenon over wide regions such as air pollution, natural disaster, industrial monitoring and underwater applications [1]. The simple security capabilities of the nodes in the sensors network makes it an easy target for an intruder to take over some of the node(s) in the sensor network and to start altering the data received or sent by these nodes before forwarding it to the other nodes in effort to prevent the destination from properly decoding or reading the received data. These attacked nodes lead to tremendous amount of unusable data travelling across the network. The objective of this paper aims to detect these malicious nodes and cast them outside the network using a cooperative local voting approach with a dynamic center and study its effect on the amount of aggregated data though the network and the time required to deliver the sensors data.
Occlusion Detection in M-FISH Human Chromosome Images
Authors: A Lijiya , Joseph Joshy , Govindan V.K.
Published: May 2018

Automation of Chromosome Analysis has long been considered a tedious task due to the partial occlusion of chromosomes. This calls for a non-trivial, dedicated procedure to segment chromosomes. In this paper, a new method is proposed which detects and separates occluded chromosomes, by separating out the chromosome cluster from the M-FISH image, followed by detecting the cut-points along which these clusters can be split into multiple regions. These regions are then combined into separate partial chromosomes based on difference matrix. After this stage the invisible regions due to occlusion is reconstructed based on the visibility in the five channels. The performance of the new proposalÂ Â  was compared with the existing work and observed better performance in resolving occlusions. With 15 occludedÂ  chromosome images tested, 90% accuracy was obtained
Microfinance as Employment Generation Tool (Case Study of Pakistan 2001-02 to 2010-11)
Authors: Saleh Memon Muhammad , Channa Mohammad Asif , Manganhar Izhar Ali
Published: May 2018

The objective of this study is to know the contributions of Micro finance towards employment development through generating employment opportunities to the alit class of urban and rural community. For this purpose quantitative research techniques were used to collect the data. The data was collected through secondary sources from economic survey from 2011-12 and labor force survey 2010-2011 and from annual plans of Pakistan from 2001-02 toÂ  Â 2012-13. Mainly 8 to 10 micro finance banks and micro finance institutes and some NGOs are taken into study. Â The results express the positive contributions of micro finance to the employment that leads to poverty reduction and improved living standard. In contrast micro finance through supporting the employment generates sustainable solutions of other economic problems like poverty, good education, better health etc.Â
A Survey of Wireless Sensor Network Routing Protocols based on SPIN
Authors: Midha Surabhi , Nayyar Anand
Published: May 2018

SPIN(Sensor Protocols for Information via Negotiation) comprises of a set of adaptive protocols that proficiently disseminate data in wireless sensor network(WSN).SPIN overcomes certain deficiencies associated with some of the data dissemination protocols & brings in more efficiency. WSNs have limited energy and hence efficiency of protocol has a significant impact on networkâ€Ÿs lifetime. Many protocols have been developed that are based on SPIN and are its modifications. This paper presents a survey on SPIN protocol and the various protocols devised which use SPIN as a base in one or another way.
A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage
Authors: Lin Jyh-Shyan , Liao Kuo-Hsiung , Hsu Chao-Hsing
Published: May 2018

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.
Object-Oriented Petri Nets Virtual Organization Structure
Authors: Badr-El-Din Amr
Published: May 2018

Managing a mega organization has become an extremely complex task, especially if the organization is virtual. The operating structure of such a multi-faceted organization is very difficult to construct, and traditional organization structure models seem to fall short in coping with the demands imposed by such huge and complex entities. The object-oriented (organic) structure has many attributes that are suitable for solving the complexity of such organization structure and seems successful in catering for the needs of big organizations. However, the organic structure is by nature a static model that does not allow for predicting dynamic operation problems before they occur. The goal of this paper is thereforto design a generic model, using a Petri net-based framework, to simulate the workflow of virtual organizations that follow the organic structure in essential tasks like scheduling, monitoring and supervising.This model is useful in predicting problems before they occur and is therefore quite a useful tool for resource allocation, business planning and overall monitoring. Because of its capability in predicting problems like deadlock, priority inversion and starvation, a Petri net may become an essential tool for organization management.
RANKING of the E-TRUST FACTORS in ELECTRONIC TRANSACTIONS in the CONTEXT of B2C E-COMMERCE (from the consumers point of view and by using Friedmans ranking method)
Authors: Issa Najafi
Published: May 2018

Today, a considerable amount of commercial transactions have appertained to the electronic transactions and electronic markets, aside from or versus the traditional markets, have attracted and collected a large number of buyers, distributers and sellers with the aim of exploring commercial opportunities for trading interactions and gaining more profit. The environment of electronic markets has inherited the risks and vulnerability for its infrastructure, i.e. the internet. This high risk environment complicates the process of building trust in transactions for transaction parties. The virtual and online nature of the new environment emphasizes the importance of the term online trust. The factors of online trust in different classes of e-commerce are different from each other depending on the type of transaction parties. In various studies the factors of trust in e-commerce transactions of type B2C have been identified and discussed. These factors can be classified in three groups of personal, corporate and trust context factors. In this research, after categorizing the electronic trust factors to five groups of personal, corporate, legal, contextual and infrastructural, and by collecting the necessary data from 10 e-commerce websites we have ranked the trust factors from the perspective of those websites customers. According to the opinions of the customers of those websites, the priority of electronic trust factors is mixed marketing factors and e-security and privacy policy factors.
Rearranging the pixel using Log-Cumulant Parameter Estimator and Healing of Restoration Technique
Authors: Singh Mr.Vinod , Singh Mr. P Bhushan , Awasthi Mr. Akash , Pandey Mr. Shivesh , Tiwari Dr. Amod
Published: May 2018

Using second-kind statistics technique noise reduction is not mile stone in the field of image processing, the log-cumulant estimator is proposed for pixel parameter estimation of the log-normal distribution in medical image. The estimates of the shape parameter and scale parameter are independent for the log-cumulant estimator for noise reduction. Parameter estimation results from Monte Carlo simulation demonstrate that, the log-cumulant estimator is insensitive to noise samples and it leads to better performance noise reduction when compared to the moment estimator using Laplacian function.
AUTOMATIC INITIAL SEGMENTATION OF SPEECH SIGNAL BASED ON SYMMETRIC MATRIX OF DISTANCES
Authors: Peleshko Dmytro , Pelekh Yuriy , Rashkevych Mariya , Ivanov Yuriy , Verbenko Iryna
Published: May 2018

The most common issue of a speech signals analisys and artificial intelligence systems development is determining of temporal and frequency charactristics. Thatâ€™s because any undetermined signal is defined as a nonlinear object. But it is always possible to select time interval from the signals with a given discretization period. Such an interval is called quasistationary interval.The quasistationary interval in combination with the speech signal quality characteristics can be used to build a parametric model of the speech signal. As a result, such a model will be very helpful for solving different issues of artificial intelligence development processes.In this paper the method of an initial segmentation of the speech signal via quasistationary intervals by threshold deviation of algebraic specifications of elementary areas is presented. The latter method of automatic initial segmentation is based on pseudorotation of symmetric matrix of distances and evaluation criteria. The problem and process of selection the quasistationary intervals are described in the section 1.
Performance Evaluation of VoIP in MPLS network using NS-2
Authors: Chaudhary Dr. Anu , Singh Dr. Satya Prakash
Published: May 2018

To evaluate and enhance the performance of the High-Speed Data networks some study on network technology is required to be done, it also require to simulate and verify the results and suggests the better solutions for High-Speed Data networks like Real-time Data network (Multimedia data, Voice data). Multiprotocol Label Switching (MPLS) is an emerging technology and plays an important role in the next generation networks by providing Quality of service (QoS). It overcomes the limitations like excessive delays and high packet loss of IP networks by providing scalability and congestion control. The key feature of MPLS is its Traffic Engineering (TE) which is used for effectively measuring the performance of the networks and efficient utilization of network resources. MPLS provides lower network delay, efficient forwarding mechanism, scalability and predictable performance of the services which makes it more suitable for implementing real-time applications such as Voice and video. In this paper performance of Voice over Internet Protocol (VoIP) application is implemented in MPLS network and conventional Internet Protocol (IP) network. NS-2 (Network Simulater-2) is used to simulate the both networks and the comparison is made based on the metrics such as Voice packet delay, voice packet lost probability, throughput, voice packet send and received. The simulation results are analyzed and it shows that MPLS based solution provides better performance in implementing the VoIP application.The simulated results in the form of animations and graphs can be helpful for network operators or designers to determine the number of VoIP calls, to estimate the packet lose probability and other QoS parameters that can be estimated and evaluated for a given network by using NS-2 simulator.
The New Image Encryption and Decryption Using Quasi Group
Authors: Agarwal Ankit , Varma Amit , Kumar Durgesh
Published: May 2018

Multimedia Communication is the new age of communication. Image Communication is one of the most popular types of multimedia communication. This type of communication always faces security challenges. Security breach is rising at a rapid rate. Image privacy is facing an even bigger threat. There are several image cryptography techniques having both positive and negative consequences. Via this paper, we are presenting a new approach for image encryption and decryption by using pixel shifting and using Quasigroup (Latin Square) without performing translation. It requires low computation as a key. Image pixel reshuffling is done randomly and in a non-repeated manner.
Semantic Web for Virtual University Using XML and Relational Database
Authors: Nada Yasser A.
Published: May 2018

In this paper a development of virtual university semantic web service is focused. This approach uses XML, relational database and development of a web application to store, retrieve, and transfer operative notes between database and XML file. To provide an additional management features for this suggested approach, a proposed web application is designed to be intelligent. In addition, the system analysis phase contains a detailed study of various operations performed internally or externally by running system. Activities of the system analysis phase follow iterative approaches where the deliverable is refined in incremental steps.Â  In the system design phase, Entity-relationship (ER diagram) and normalization are used to design a database using MySQL. The XML format for operative data is designed using Document Type Declaration (DTD) and XML schema. The interchange model is designed using context diagram, dataflow diagram, system flowchart, and process specification. The proposed web application is developed using VB.Net Interface and VRML modeling 3dmax. Finally, the proposed approach files are transmitted in XML, PDF and HTML formats.
Effect of Fiber Nonlinearity on the Performance of WDM Dual-Polarization Coherent Optical OFDM Systems
Authors: Ahmed Bashar M. , Fyath Raad S.
Published: May 2018

In recent years, there is increasing interest in using dual-polarization (DP) technique to enable future systems with at least 100 Gb/s rate per channel to operate over existing optical networks. The performance of these advanced systems can be enhanced further by using coherent optical orthogonal multiplexing (CO-OFDM) technique which offers high spectral efficiency and outstanding tolerance of fiber dispersion. This paper addresses the effect of fiber nonlinear optics on the performance of dual-polarization wavelength-division multiplexing (WDM) CO-OFDM systems operating with 100 Gb/s per channel. Different modulation formats, namely BPSK, QPSK and 16-QAM, are used. First, the performance of a single-channel system is investigated in the absence and presence of fiber nonlinearity. The results are compared with a conventional (single-polarization) system to identify the key role played by the DP technique. The investigation is then extended to WDM systems incorporating DP-OFDM technique. The results reveal that the effect of fiber nonlinearity can be reduced by using optimum transmitter laser power Popt. Further, the value of Popt is a function of transmission distance, number of multiplexed channels, and modulation formats. Popt of -11, -12, and -5 dBm is needed for a ten-channel DP system operating with BPSK, QPSK, and 16-QAM formats, respectively. Simulation results presented in this work are obtained using Opti System (version 11.1) which is a commercial software package
The ICM Approach as a Way for Improving Leaning Science Subjects in High Schools in Tanzania
Authors: William Francis Kyambo , O-saki Kalafunja M. , Mselle Leonard J. , Gabriel Prosper
Published: May 2018

This paper focuses on the design and trial of the Integrated Chemistry Modules (ICM). The objective was to design the approach, thereafter try it out. Observations show that teachers and students appreciated the approach. A very significant improvement in performance in post-test in the first trial group (t (37) = 21, p < 0.001) was observed. Similarly A very significant improvement in performance in post-test in the second trial group (t (26) = 33, p < 0.001) was observed. It is concluded that video materials, classroom experiments and worksheets can assist students attain required competencies.Â
Elasto-Plastic Analysis of 3D Frames with Generalized Yield Function
Authors: Singh Harpal
Published: May 2018

Three dimensional three node elasto-plastic finite element has been presented. Hinges have been assumed to form at the points of integration (Gauss points) which are distributed over the length of the element. One integration point at the center and the other two near the ends. The inelastic interaction between biaxial bending moment, torque and axial force has been considered by means of generalized yield interaction surface and a flow rule with strain hardening has been associated. The element is more effective where the location of hinges is not known in advance. The concept has been applied successfully on three dimensional steel and reinforced concrete frames
Intergenerational relations: the use of technology as a mediator
Authors: Raymundo Taiuani Marquine , BERNARDES M. S , SANTANA C. S.
Published: May 2018

The social dynamics of today provide greater proximity between people belonging to different generations, diluting the differences among the large volume of innovations, whether technological or cultural that are produced continuouslyÂ¹. Intergenerational relationships can bring great benefits to the young and older, who may learn together through their experience, the mutual exchange of knowledge or merely for the daily contactÂ². Goal: Understanding how young monitors participants of a digital inclusion project for seniors (PIDI) relate to the elderly, which are the benefits of this relationship and the changes it brings in the life and family environment of these young people. Method: This is a qualitative, cross-sectional and descriptive study. Data collection was conducted through a questionnaire with open questions. The responses were analyzed and grouped according to their content. Results: 16 monitors who participated in the PIDI took part in this study (students with scholarship and volunteers), of which 69% are women and 31% are men, with an average age of 25. Regarding the time of participation in the project, 44% attended for six months, 25% for a year and 31% more than one year. 62.5% of them considered the relationship with the elderly as excellent and 37.5% considered as good. The monitors report that the process of teaching the elderly is facilitated due to the fact that the elderly are willing to learn and that the relationship established in this process is very natural. According to the monitors, the elderly are understandable and have patience forward to exchanging roles in which the young are teaching the older. The monitors also report that they learned to be more patient, be aware of difficulties, be more caring, respect differences, to listen more, to recognize specific characteristics of the elderly, in addition to personal growth. Young people report that they were able to transfer what they have learned in the relationship with the elderly for their family environment reporting that they began to act with more patience and tolerance, now have a closer interaction with elderly relatives, and better understand their difficulties and recognize their potential and, they start to assist and teach family members in the use of electronic devices. Conclusion: The intergenerational interaction is a valuable tool to exclude preconceptions, for the transfer of knowledge, mutual aid, solidarity and friendship.
A Survey on Features and Techniques in Content Based Image Retrieval
Authors: Kalra Meenu , Handa Pooja
Published: May 2018

Content-based image retrieval (CBIR) is widely adopted method for finding images from vast collection of images in the database. As the collections of images are growing at a rapid rate, demand for efficient and effective tools for retrieval of query images from database is increased significantly. Among them, content-based image retrieval systems (CBIR) have become very popular for browsing, searching and retrieving images from a large database of digital images as it requires relatively less human intervention. The requirement for development of CBIR is enhanced due to tremendous growth in volume of images as well as the widespread application in multiple fields. Texture, color, shaped, contours etc are the important entities to represent and search the images. These features of images are extracted and implemented for a similarity check among images. In this paper, we have conducted a survey on the CBIR techniques and its approaches and their usage in various domains.
A Different Learning Way For Pupils With Specific Learning Disabilities
Authors: Benmarrakchi FatimaEzzahra , El Kafi Jamal , EL Hore Ali
Published: May 2018

Several factors may contribute to a child's failure to learn, some possible causes of school failure are specific learning disabilities. Dyslexia is one of the most common learning disabilities; dyslexia is to fail to learn to read in spite of adequate environment, normal intelligence, and decent educational opportunities. Various studies have recently focused on dyslexia on different scientific areas. Our main focus was to explore the use of Information and Communication Technology (ICT) in education to improve learning for pupils with learning disabilities. In this paper we present a positive approach which considers dyslexia as a different learning style rather than a disability.
An Efficient Multi Parent Hierarchical Routing Protocol for WSNâ€™s
Authors: MADAGOUDA BASAVARAJ K
Published: May 2018

Wireless sensor networks (WSNs) nodes are commonly designed to work with limited resources of memory, energy and processing. The routing protocol is one of the key components of WSNs and its features impact network performance significantly. We present an efficient Multi-Parent Hierarchical (MPH) routing protocol for wireless sensor networks; its main goal is to achieve reliable delivery of data in a single sink scenario while keeping low overhead, reduced latency and low energy consumption. The main features of MPH are self-configuration, hierarchical topology, persistence according to link quality, and source routing from sink to nodes. Network performance simulations of the MPH routing protocol are carried out and compared with popular protocol, AODV. Results show that for the single sink scenario, the MPH protocol has an energy saving of 35% against AODV. MPH has 27% less overhead compared with AODV. And MPH presents a 10% increase in packet delivery compared with AODV. Finally, we present a real WSN built based on the MPH protocol, which works satisfactorily, providing an experimental demonstration of the capabilities of the protocol.Â
Design and implementation of a health document
Authors: Mazouz Sanae , Cherkaoui Malki OuÃ§amah Mohammed , Nfaoui El Habib
Published: May 2018

Exchanging and integrating medical information in the healthcare domain is a challenge. Indeed, the diversity of databases and the different representations of information sources make this exchange a very difficult task. Divers standards, (e.g. HL7: Health Level Seven; DICOM: Digital Imaging and Communication in Medicine), are created to enable the exchange and make health information systems interoperable. However, applying standardization requires changing the structure of existing healthcare systems. Our main purpose is to create a health document for exchanging health information between heterogeneous systems without applying changes on the internal structure of systems. The document uses the XML language to allow a structured and flexible exchange of healthcare data. The proposed health document can make the exchange of healthcare data among heterogeneous health information systems simpler and efficient. This document addresses the problem of interoperability between health information systems. The paper summarizes standards used to support interoperability in healthcare domain and propose a health document to enable the exchange of medical information across heterogeneous and distributed health information systems without requirements or adjustment on their systems.
A Hybrid Approach of AES and File Encryption to Enhance The Cloud Security
Authors: Nisha Nisha , Singh Naseeb
Published: May 2018

Cloud computing is a paradigm shift in the way we define software and hardware, and architect our IT solutions. The emerging cloud technologies, due to their various unique and attractive properties, are evolving with tremendous momentum and rapidly being adopted throughout the IT industry. In this dissertation, we identify security challenges that arise in integration of cloud-based services, and present a set of novel solutions to address them. We analyze the security of our solutions, demonstrate their usage and effectiveness, and evaluate their performance by extensive experimentation. To address the problem of security in untrusted cloud storage, we introduce a hybrid solution of AES and file encryption. The key used in AES algorithm is generated randomly from the file's data which is sent by the cloud provider. After implementing the proposed methodology, we have seen an improvement in the processing time and cost which will increase the overall efficiency of the system.Â
Design and Implementation of RSA Algorithm using FPGA
Authors: Tahir Ari Shawkat
Published: May 2018

RSA cryptographic algorithm used to encrypt and decrypt the messages to send it over the secure transmission channel like internet.Â  The RSA algorithm is a secure, high quality, public key algorithm. In this paper, a new architecture and modeling has been proposed for RSA public key algorithm, the suggested system uses 1024-bit RSA encryption/decryption for restricted system. The system uses the multiply and square algorithm to perform modular operation. The design has been described by VHDL and simulated by using Xilinx ISE 12.2 tool. The architectures have been implemented on reconfigurable platforms FPGAs. Accomplishment when implemented on Xilinx_Spartan3 (device XC3S50, package PG208, speed -4) which confirms that the proposed architectures have minimum hardware resource, where only 29% of the chip resources are used for RSA algorithm design with realizable operating clock frequency of 68.573 MHz.
A Matrix Iterative Approach to Systematically Generate Hilbert-type Space-filling Curves
Authors: Ye Ruisong , Liu Li
Published: May 2018

Hilbert-type space-filling curve has attracted much interest thanks to its mathematical importance and extensiveÂ applications in signal processing. In this paper, we construct the complete six Hilbert-type space-filling curves form amatrix point of view. The address matrix for each considered Hilbert-type space-filling curve can be easily generated by aÂ recursive manner. Besides the six Hilbert-type space-filling curves, we also construct their corresponding variationÂ versions. The merit of the matrix approach is that the iterative algorithm is easy to implement and can be generalized toÂ produce any other Hilbert-type space-filling curves and their variation versions.
Using mobile communication as a tool for national growth and development
Authors: ADESINA ADEMOLA DANIEL , AKERELE Olubunmi , RAJI-LAWAL Hanat
Published: May 2018

Mobile communication emergence has brought a whole palette of new possibilities in information sharing not only for individual development but also for national growth. New mobile information devices such as Personal Digital Assistants, Smart-phones, i-phones and the like put forward several advantages for personal assistance to the mobile users. They can present up-to-date spatial/non-spatial information in a very individual, dynamic, and flexible way for the mobile users. Mobile communication devices can provide and run many other services and applications which are aimed at presenting to the mobile users the right information in the right moment and at the right place. This improves the economics and strengthens the national growth and development. The evaluations of mobile communication development projects are required in order to have a better understand on its impact on nationsâ€™ economic, politics and social growth. The research identifies the roles of mobile communication as a means for partnering with the private and public organisations in order to provide better services and awareness for the national growth and development.Â
Wavelets assisted fuzzy edge refinement
Authors: Saxena Kumud
Published: May 2018

Image enhancement is a crucial pre-processing step to be performed for various applications where object recognition, identification, verification is required. Among various image enhancement methods, edge enhancement has taken its importance as it is widely used for understanding features in an image. Several types of edge detectors are available for certain types of edges. If edges are enhanced and clear, the reliability for feature extraction increases. The Quality of edge detection can be measured from several criteria objectively. In this paper, a novel algorithm for edge enhancement has been proposed for multiple types of images. The features can be extracted clearly by using this method. For comparison purpose Roberts, Sobel, Prewitt, Canny, and Log edge operators are used and their results are displayed. Experimental results demonstrate the effectiveness of the proposed approach.
Identification Of Hepatocellular Carcinoma Using Supervised Learning Algorithms
Authors: Sharma Sagri , Kadam Sanjay , Darbari Hemant
Published: May 2018

Analysis of diseases integrating multi-factors increases the complexity of the problem and therefore, development of frameworks for the analysis of diseases is an issue that is currently a topic of intense research. Due to the inter-dependence of the various parameters, the use of traditional methodologies has not been very effective. Consequently, newer methodologies are being sought to deal with the problem. Supervised Learning Algorithms are commonly used for performing the prediction on previously unseen data. These algorithms are commonly used for applications in fields ranging from image analysis to protein structure and function prediction and they get trained using a known dataset to come up with a predictor model that generates reasonable predictions for the response to new data. Gene expression profiles generated by DNA analysis experiments can be quite complex since these experiments can involve hypotheses involving entire genomes. The application of well-known machine learning algorithm - Support Vector Machine - to analyze the expression levels of thousands of genes simultaneously in a timely, automated and cost effective way is thus used. The objectives to undertake the presented work are development of a methodology to identify genes relevant to Hepatocellular Carcinoma (HCC) from gene expression dataset utilizing supervised learning algorithms & statistical evaluations along with development of a predictive framework that can perform classification tasks on new, unseen data
Social Networks and WEB ontologys as perfect couple for knowledge management tool/system
Authors: Idrizi Florim , Ilazi Uran , Asani Florin
Published: May 2018

The social networks have become a main tool of the XXI century for personal presentation and promotion, connectivity with others, belonging to same ideology, area of expertise or culture. Beside all the exploitations made to the social networks, lets pose the question: Are social networks and social network medias pushed to their limits, are they manageable and do they give as maximal possibilities in using, managing and having all the knowledge stuffed in there and using it to benefit of our research? Combining the social networks with semantic web can enhance the process of education and research.
Enhancement Electronic evaluation for Semantic Arabic Oral Exam
Authors: Elsayed Eman Karam
Published: May 2018

From the importance of knowledge in the speech, we knew the importance of oral exam. So in this paper we integrated BOW (Bag of Word), LSA(Latin Semantic Analysis), ASR (automatic speech recognition), zero crossing rate, and Ontology based approach to automate the online oral exam especially in Arabic language with take into consideration the authentication problem. Our proposal method faced many challenges in Arabic language because there isn't semantic dictionary like WordNet in English and HowNet in Chinese. Also Arabic language has complicated synonyms. Our proposal can help improving meaningfulness. Finally, the proposed method in this paper didn't forget automation the feedback for determining learning disability
Formal Methods in Information Security
Authors: ADEBOWALE AJAYI , GOGA NICULAE , OLUWABUKOLA OTUSILE , SAMUEL ABEL
Published: May 2018

Formal methods use mathematical models for analysis and verification at any part of the program life-cycle. The use of formal methods is admitted, recommended, and sometimes prescribed in safety-and security-related standards dealing, e.g., with avionics, railways, nuclear energy, and secure information systems. This paper describes the state of the art in the industrial use of formal methods ininformation security with a focus on verification of security protocols. Given the vast scope of available solutions, attention has been focused just on the most popular and most representative ones, without exhaustiveness claims. We describe some of the highlights of our survey by presenting a series of industrial projects, and we draw some observations from these surveys and records of experience. Based on this, we discuss issues surrounding the industrial adoption of formal methods in security protocol engineering.
IMPROVED ANT COLONY LOAD BALANCING ALGORITHM IN CLOUD COMPUTING
Authors: Singh Jaspreet , Mishra Susmita
Published: May 2018

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. Since, cloud has inherited characteristic of distributed computing and virtualization there is a possibility of machines getting unused. Hence, in this paper, a load balancing algorithm has been proposed to avoid deadlocks and to provide proper utilization of all the Virtual Machines (VMs) while processing the requests received from the users by VM migration. Further, this paper also provides the anticipated results with the implementation of the proposed algorithm. The main contributions of our work is to balance the entire system load while trying to minimize the make span of a given set of jobs. Compared with the other job scheduling algorithms, the improved Ant Colony Optimization algorithm can outperform them according to the experimental results.
IMPLEMENTATION OF MOBILE VIRTUAL LABORATORY: CONTRIBUTORY FACTORS IN A DEVELOPING COUNTRY
Authors: Ogundipe Oluwole Oluseun
Published: May 2018

The growing availability of mobile devices across developing countries and coupled with increase awareness of mobile learning as well as the use of mobile devices for laboratory practical warrant the exploration of its wider application in learning. This study explored the factors that contribute to the successful implementation of mobile virtual laboratory in a developing country. A Nigerian higher institution was selected because of its peculiar location in a rural area and was important in the evaluation of the Internet penetration in rural areas of Nigeria for m-Learning. A designed questionnaire for need analysis was distributed to 132 consented participants and the resulting data were analysed using SPSS-21. The study shows that the term mobile learning was not too new to majority of the learners as (44.7%) indicated that they had heard about it. However majority of the respondents (78.8%) had never heard about Mobile Virtual Laboratories. MTN data plan was mostly used for Internet because of its N1000 (5 US dollars) data plan. Again, majority of the respondents used Blackberry (57%) and Android phones (32%). Based on the findings in this study, the network, data plan, device type and learners awareness were important factors characterising the needs and choices of learners. Overall, uptake of mobile learning will be easy and enhanced if determinants of learners needs and choice as identified in this study are considered in the implementation of mobile virtual laboratory in a developing country.