bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling and implementation of sequencing of tasks to Maximize the Processing in an organization
Authors: Namir A. , EL Kebbaj Amina , Namir R. , Ezzbady S.
Published: May 2018

The main objective of this work is to conceive a practical approach to improve customerâ€™s satisfaction which is generally considered as the pillar of the development of customer fidelity for the company. It is necessary to have a platform which we master to manage to satisfy the customer by studying its needs, by having the capacity to be close and serving him for the shortest deadlines.The waiting time before being served is systematically badly noted by the customers and can cause their dissatisfactions. For that, it is necessary to find a way to decrease the dissatisfaction of the customer by improving the service.We propose in this work, a simple and practical approach for modeling and implementation of a sequencing of tasks to maximize the processing in an organization. This approach respects the constraints of the organization and eliminates any shape of wasting of time at the level of service. She can be personalized for any company, as long as an organizational structure including the actors is defined, the authorities as well as the skills required for every participant in the organization.The problem is mathematically modeled by an integer linear programming and in series solved numerically by respecting rules of priority at the level of the departments. At the end, practical examples to illustrate the work are given.
Blind Signal Separation Using an Adaptive Generalized Compound Gamma Distribution
Authors: Wahed Mohamed El-Sayed , Amer Y. A. , Elmabrouk A. Moftah
Published: May 2018

We propose an independent component analysis (ICA) algorithm which can separate mixtures of sub- and super- Gaussian source signals with self-adaptive nonlinearities. The ICA algorithm in the framework of natural Riemannian gradient, is derived using the parameterized Generalized Compound Gamma Distribution density model. The nonlinear function in ICA algorithem is self-adaptive and is controlled by the shape parameter of Adaptive Generalized Compound Gamma Distribution density model. Computer simulation results confirm the validity and high performance of the proposed algorithm
Modeling and Implementation of a Scheduling of Information to maximize processing in a Network Telecommunications
Authors: Namir Abdelwahed , Ezzbady Souad , Kebbaj Amina El , Filali Sanae EL
Published: May 2018

The computer networks are based on the Internet protocol conceived from the origin to transport data in more heterogeneous usage (telephony IP, video at request, distributed interactive games, telemedicine, video-conference and audio). These information fluxes or these services before being treated are classified, organized and stocked according to priority rules in different waiting files. To maximize the treatment of these data, we offer in this work a simple and practical step for modeling and implementing information scheduling in the bandwidth. This step respects the priority rules and eliminates in priori any form of wasting of time at the level of service. It consists of maximizing the use of the bandwidth for different types of traffic in a telecommunication network. The proposed algorithm consists of serving the traffics that have priorities and to exploit dynamically what remains of the bandwidth in the profile of the least priority traffics while respecting at the very least the part of every traffic in the bandwidth. The problem is mathematically modeled by an integer linear program (ILP) and in continuation resolute theoretically in general case and numerically in case priority at the level of services. At the end, practical examples to illustrate work are given.
A new approach to Computer-Based Examinations using word documents and spreadsheets
Authors: Khumrin Piyapong , Wongnoppavich Ariyaphong , Boonploy Khemmapop , Supajatura Volaluck
Published: May 2018

This paper describes a new approach to computer based testing where lecturers submit questions via word document which is processed to produce an examination, with student results analyzed and reported in a spreadsheet. The overall process starts with lecturers sending question files in word document format via email to the service provider. The questions are passed through the approval process using the editing system and then transferred to the examination system. The examination system directly accesses information from the question files to create a test, which students complete by inserting their answers directly into the spreadsheet file. Finally, the data are analyzed using spreadsheet formulas and the report system sends the results to students' emails. The document based approach helps the system implementation to be simpler and well accepted by the users while consistent with organizational requirements of moving towards electronic data management.
Ghost-Free High Dynamic Range Imaging Using Histogram Separation and Edge Preserving Denoising
Authors: Ahirwal Ramratan , Rajput Yogesh Singh , Jain Dr. Yogendra Kumar
Published: May 2018

In this paper, we introduce a ghost-free High Dynamic Range imaging algorithm for obtaining ghost-free high dynamicrange (HDR) images. The multiple image fusion based HDR method work only on condition that there is no movement ofcamera and object when capturing multiple, differently exposed low dynamic range (LDR) images. The proposed algorithmmakes three LDR images from a single input image to remove such an unrealistic condition. For this purpose a histogramseparation method is proposed in the algorithm for generating three LDR images by stretching each separated histogram.An edge-preserving denoising technique is also proposed in the algorithm to suppress the noise that is amplified in thestretching process. In the proposed algorithm final HDR image free from ghost artifacts in dynamic environment because itself-generates three LDR images from a single input image. Therefore, the proposed algorithm can be use in mobilephone camera and a consumer compact camera to provide the ghost artifacts free HDR images in the form of either inbuiltor post-processing software application.
Major Problems related to Information Management
Authors: Alabdan Rana Ibrahim
Published: May 2018

Technological advancements in computing and communication technology have most recently grown rapidly. This growth has further been motivated by the high-speed networks and the declining cost of purchasing computers. The trend has enabled the running and fast transfers of various applications such as data and information, graphics, voice and movies.Â  The use of computers and technology in communication has transformed various organizational systems to the digital era.
Facebook in Higher Education: Social and Academic Purposes
Authors: Alhazmi Abdulsalam Kaed , Abdul Rahman Azizah
Published: May 2018

With the rapid growth and popularity of Facebook among students in higher education, the aim of this study is to explore the usage purposes among students including their academic and non-academic usage purposes in relation to gender, background, study level, and the length of their experience using Facebook. For this purpose, 105 local and international students were surveyed at a large public technology university in Malaysia. The results revealed that academic usage was limited compared to other usage purposes, such as social interaction, news, and entertainment. In relation to the academic usage, the results revealed that that study level and academic usage of Facebook were significantly related, while no significant relations were found in relation to gender, background or experience.
Finding a Relative Testing approach for Service Oriented Architecture
Authors: Choudhary Bharat , Richhariya Vineet , Shrivastava Shweta
Published: May 2018

A SOA (Service Oriented Architecture) is an enterprise-scale IT architecture for linking resources on demand. In a SOA, resources are made available to participants in a value net, enterprise, and line of business. Service-oriented applications can be expensive to test because services are hosted remotely, are potentially shared among many users, and may have costs associated with their invocation. For interactive web services development SOA is a good approach. To find the desire outcomes from this architecture, we have to test this architecture than we can develop desire services from this architecture. There lots of works has done to test this architecture, like unit and integration testing are used to test this architecture but these methods cannot give hundred present testing capacity. In this paper we are concentrating to find a right approach to test the SOA. Regression testing is a better approach, rather than the previous methods.
Design of Parallel-Plate Transmission Line Feeding Differentially Driven Patch Antenna for GPS application
Authors: Pandey Krishna Mani , Muchhal Nitin , Niwaria Kamal , Manke Dr. Sunanda
Published: May 2018

In this paper a newly developed patch antenna, designated as the parallel-plate transmission line feeding differentially driven patch antenna is presented. The parallel-plate transmission line will not introduce inductance to the input impedance of a patch antenna, thus the height of the patch can be largely increased.Â  Measurements show that the 3-dB-gain bandwidth can be obtained to 65% (0.86â€“1.93 GHz), return loss is -20dB, VSWR is 1.3 and impedance is 51 ohm at resonant frequency of 1.58GHz. The radiation pattern is stable and this antenna is designed for GPS application.
Performance Analysis of Color based Image Retrieval
Authors: Mustikasari Metty , Madenda Sarifuddin
Published: May 2018

Recently Content based image retrieval (CBIR) is an active research. This paper proposes a technique to retrieve images based on color feature and evaluate the retrieval system performance. In this retrieval system Euclidean distance and City block distance are used to measure similarity of images. This algorithm is tested by using Corel image database which is provided by James Wang.  The performance of retrieval system is measured in terms of its recall and precision.  The effectiveness of retrieval system is also measured based on Average Rank (AVRR) of all relevant retrieves images and Ideal Average Rank of relevant images (IAVRR). The experimental results show that city block has achieved higher retrieval performance than Euclidean distance.
A Taxonomic Service for Species Identification
Authors: Fuentes Daniel , Fiore Nicola
Published: May 2018

Taxonomy is the science of discovering, classifying and categorizing organisms into groups. Names are given to species when they are recognized for ecology, potential hazards or just for human culture and admiration. However, current problems such as the high diversity of species, the hundreds of publications in which species are described and the lack of a single authoritative world register routine for the definition of the taxa cause frequent confusion in the taxonomy identification. In this paper, we propose a method to automatically extract, integrate and represent species taxonomy information from the main relevant biodiversity catalogues for its comparison and studio. Consequently, the time for information analysis is reduced and taxonomic nomenclature errors are avoided, which are essential for some biology areas of knowledge.
Gaming Concepts for Tackling Societal Challenges: A Preliminary Survey and Analysis
Authors: Jaser Edward , Doofesh Yazan , Mihalachi Luminita
Published: May 2018

Governments, and to a certain extent non-governmental organizations, around the world have to continuously deal with complex and dynamic societal challenges. One approach that has gained increasing popularity over the last two decades is the use of Information and Communication Technologies (ICT) as a tool to enhance impact and deliver efficiency and effectiveness. Therefore, we have been witnessing wide spectrum of ICT interventions to address and inhibit challenging and complex societal problems. One area of ICT that has been attracting more attention recently is the use of games and gaming concepts for this purpose. In this paper, we provide analysis about major societal challenges that are shared internationally and analyse video games that are designed to address these challenges
An Image Encryption Scheme Using 2D Generalized Sawtooth Maps
Authors: Ye Ruisong , Yu Wenping
Published: May 2018

In this paper, a new image encryption scheme based on 2D generalized sawtooth map is proposed. Utilizing the chaoticnature of 2D generalized sawtooth maps, image pixel positions are scrambled and image pixels gray values are changedto encrypt the plain-images. Experimental results have been carried out with detailed analysis to demonstrate that theproposed image encryption scheme possesses large key space to resist brute-force attack and possesses good statisticalproperties to frustrate statistical analysis attacks.
Performance Comparison of Hartley Transform with Hartley Wavelet and Hybrid Hartley Wavelet Transforms for Image Data Compression
Authors: Natu Prachi , Kekre H.B. , Sarode Tanuja
Published: May 2018

This paper proposes image compression using Hybrid Hartley wavelet transform. The paper compares the results of Hybrid Hartley wavelet transform with that of orthogonal Hartley transform and Hartley Wavelet Transform. Hartley wavelet is generated from Hartley transform and Hybrid Hartley wavelet is generated from Hartley transform combined with other orthogonal transform which contributes to local features of an image. RMSE values are calculated by varying local component transform in hybrid Hartley wavelet transform and changing the size of it. Sizes of local component transform is varied as N=8, 16, 32, 64. Experiments are performed on twenty sample color images of size 256x256x3. Performance of Hartley Transform, Hartley Wavelet transform and Hybrid Hartley wavelet Transform is compared in terms of compression ratio and bit rate. Performance of Hartley wavelet is 35 to 37% better than that of Hartley transform whereas performance of hybrid Hartley wavelet is still improved than Hartley wavelet transform by 15 to 20%. Hartley-DCT pair gives best results among all Hybrid Hartley Transforms. Using hybrid wavelet maximum compression ratio up to 32 is obtained with acceptable quality of reconstructed image.
Topological Properties of Rough Soft Formal Context
Authors: Fu Li
Published: May 2018

In this paper, the topological structure is discussed in the rough soft formal context. The rough soft formal context is defined on the rough formal context with some soft operators, the topology and the topological space are given in the rough soft formal context. And some topological properties are discussed over the rough soft formal context.
Dynamic modeling of the patient journey in a Pediatric Emergency Department of CHRU of Lille
Authors: Ajmi InÃ¨s , Zgaya Hayfa , Gammoudi Lotfi , Hammadi Slim , Renard Jean-Marie
Published: May 2018

The Workflow models of the patient journey in a Pediatric Emergency Department (PED) seems to be an effective approach to develop an accurate and complete representation of the PED processes. The model developed can drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for the PED planning. Our objective in this study is to identify tension indicators and bottlenecks that contribute to over-crowding, the goal is to optimize these paths to improve the quality of the patient handling while mastering the time waiting. The development of this model was based on accurate visits made in the Pediatric Emergency Department (PED) in CHRU of Lille (France). This modeling, which has to represent most faithfully possible the reality of the PED of CHRU of Lille, is necessary. The main aim of this paper is to present the overall design of the proposed Workflow model, emphasizing the simulation results in the normal situation and the crowding situation. Besides, we describe the crowding indicators in PED. Our survey is integrated into the French National Research Agency project, titled: â€œHospital: optimization, simulation and avoidance of strainâ€ (ANR HOST).
An Improved General Purpose Arabic Morphological Analyzer and Generator Model (GPAM)
Authors: Maabid Abdelmawgoud , Elghazaly Tarek , Ghaith Mervat
Published: May 2018

Although, morphological analysis is a vital part of natural language processing applications, there are no definitive standards for evaluating and benchmarking Arabic morphological systems. This paper proposes assessment criteria for evaluating Arabic morphological systems by scrutinizing the input, output and architectural design to enables researchers to evaluate and fairly compare Arabic morphology systems. By scoring some state of the art Arabic morphological analyzers based on the proposed criteria; the accuracy scores showed that the best algorithm failed to achieve a reliable rate. Hence, this paper introduced an enhanced algorithm for resolving the inflected Arabic word, identifies its root, finds its pattern and POS tagging that will reduce the search time considerably and to free up the deficiencies identified by this assessment criteria. The proposed model uses semantic rules of the Arabic language on top of a hybrid sub-model based on two existing algorithms (Al-Khalil & IAMA rules). Based on applying the proposed assessment criteria the efficiency and speed have been enhanced where the system achieved up to 1500 words per second in small text up to 3000 words per second in larger documents
Fractal Modeling of Retinal Blood Vessel System
Authors: Deviha V. Shanthoshini , RENGARAJAN P. , Jahir Hussain Dr. R.
Published: May 2018

This paper proposes a novel approach to extract the main features of retinal blood vessel system. The purpose of the study is to evaluate the blood flow in the retinal blood vessel system using Darcys law, Reynolds number, Poiseuilles law and Forchheimer equation. A new algorithm has been established to traverse through the retinal blood vessel system in a robust manner.
Tourist attitudes toward the use of e-Commerce for tourism in Thailand
Authors: Suanpang Pannee
Published: May 2018

The aim of this paper is to study travelersâ€™ attitudes toward the use of e-Commerce for tourism in Thailand. The study used mixed methodology quantitative research by collecting data from 510 domestic tourists; 400 international tourists and used qualitative research by collecting data from in-depth interviews.Â  The result found that domestic tourists use e-Commerce at a higher level than international tourists for booking hotels, tours, transportation and for buying souvenirs; however, international tourists use e-Commerce at a higher level than domestic tourists for booking at restaurants. The payment method found that domestic tourists pay in cash, do bank transfers and do mobile payments at a higher level than international tourists, but international tourists pay by credit card and use counter services more than domestic tourists. The result of the statistics test in order to compare tourism e-Commerce system needs shows that there is significant difference between the attractiveness of websites; updated information; credit card security system and product and service items. The result of the statistics test concerning the comparison of traveler attitudes towards the use of e-commerce for tourism shows the most significant differences in generating fast and effective communication: e-Commerce can produce product reliability; has a safe payment system; has safe information privacy; can develop good image of product and services and can create product and service identification.
Secret Image Sharing Based on Discrete Cosine Transform
Authors: Hashim Ashwaq T. , E. George Dr. Loay
Published: May 2018

The main challenges facing secure image sharing tasks are the increase of sharing volume and sharing-control flexibility. A new scheme based on DCT is developed to perform packet secret image sharing, the DCT is used to reduce the secret image size firstly, then it employs the (k, n) threshold sharing scheme to generate the shadow images. The main signal decomposition attribute of the transform is utilized to divide the secret image into uncorrelated shares. Expermintal results are given to illustrate the characteristic of this methods.
Thermal radiation effect on an unsteady MHD natural convection Couette flow with Heat and mass transfer
Authors: Murthy M V Ramana , Rao K. Rama , Singh Naik S.Hari
Published: May 2018

The numerical solution of natural convection in unsteady hydromagneticCouette flow of a viscous incompressible electrically conducting fluid between two vertical parallel plates in the presence of thermal radiation is obtained here. The fluid is considered to be a gray, absorbing â€“ emitting but non â€“ scattering medium and the Rosseland approximation is used to describe the radiative heat flux in the energy equation. The dimensionless governing coupled, non â€“ linear boundary layer partial differential equations are solved by an efficient, accurate, and extensively validated and unconditionally stable finite difference scheme of the Crank â€“ Nicolson method. Computations are performed for a wide range of the governing flow parameters, viz., the thermal Grashof number, SolutalGrashof number, Magnetic field parameter (Hartmann number), Prandtl number, Thermal radiation parameter and Schmidt number. The effects of these flow parameters on the velocity and temperatureare shown graphically. Finally, the effects of various parameters on the on the skin â€“ friction coefficient and Rate of heat and mass transferat the wall are prepared with various values of the parameters.These findings are in quantitative agreement with earlier reported studies.
A Word & Character N-Gram based Arabic OCR Error Simulation model
Authors: Ezzat Mostafa , ElGhazaly Tarek Ahmed , Gheith Mervat
Published: May 2018

This paper provides a new model aimed to enhanceArabic OCR degraded text retrieval effectiveness. The proposed model based onsimulating the Arabic OCR recognition mistakesbased on both, word based and Character N-Gram approaches. Then we expand the user search query using the expected OCR errors. The resulting search query expanded gives high precision and recall values in searching Arabic OCR-Degraded text rather than the original query. The proposed model showed a significant increase in the degraded text retrieval effectiveness over the previous models. The retrieval effectiveness of the newmodel is %93, while the best effectiveness published for word based approach was %84 and the best effectiveness for character based approach was %56.
Mitigating Packet Classification for Header Information Retrieval in Wireless Network
Authors: MR LEKSHMI , Nityanandam Prof.N.
Published: May 2018

Although encryption is used to protect data from being read by unintended recipients it still does not ensure complete safeness. The reason being that information can be gathered by an eavesdropper by indirect inferences like packet classification and traffic analysis. Thus our aim is to protect the header from being read by selective insider jammers. In such a scenario where we have a selective insider jammer who is active only for a period of time, protecting the header information should be given higher priority as these adversaries classify the packets using first few bits from the header fields and add bit errors to the packet if it is an important one. Header information can be protected using modified anonymous routing scheme where we employ multiple level of encryption of the packet to prevent the adversary from classifying the packet using the header information.
A Secure key Distribution and Management Scheme for Home Area Network in Smart Grid
Authors: Halimi Halim , Tentov Aristotel
Published: May 2018

Securing the network communication for the smart grid, it is important that a secure key distribution and management scheme is needed. Advanced metering Infrastructure (AMI) is considered as integral part of the smart grid that collects and analyzes the information of energy consumption using the communication network. In order to achieve data confidentiality, privacy, and authentication in AMI, various crypto algorithms are used, such as demand key distribution and management schemes. Investigation on properly designed key distribution and management scheme for securely gathering both individual and aggregated meterâ€™s readings is one of the critical requirements. In this paper, we propose a secure key distribution for Home Area Network (HAN) in smart grid. In this paper, we propose a new key distribution and management scheme, which uses identification scheme of Wu â€“ Hsu and tailored to smart grid. We also give the scheme for key update/freshness and key revocation. Specifically, a group ID based mechanism is proposed to establish the keys for a large amount of users with small overload.
Genetic Algorithm for solving flow problems in a Stochastic-flow Network under Budget Constraints
Authors: Hassan M. R.
Published: May 2018

The system reliability (Rd,c) calculation is based on the generation of all the lower boundary points for the given demand, d, such that the total transmission cost is less than or equal to c (budget). This generation of the lower boundary points is based on finding all feasible solutions to the flow vector, F. The number of feasible solutions cannot be anticipated. Thus, a genetic algorithm is useful for solving this problem. Therefore, this paper presents a genetic algorithm to generate all feasible solutions to the flow vector, F, and then calculate Rd,c. The algorithm is applied to two problem models. In the first, each arc of a flow network has several capacities and may fail. In the second, both the arc and node have several capacities and may fail. The results show that the algorithm is efficient at solving a flow problem and is useful for calculating Rd,c.
ANNOTATIONS IN E-LEARNING
Authors: Jindia Anjali , Chawla Sonal
Published: May 2018

Web-based learning has become an important way to enhance learning and teaching, offering many learning opportunities. A limitation of current Web-based learning is the restricted ability of students to personalize and annotate the learning materials. Providing personalized tools and analyzing some types of learning behavior, such as studentsâ€™ annotation, has attracted attention as a means to enhance Web-based learning. There has been a sharp increase in the volume and quality of electronic publishing on the web in the past few years. Many research journals are going on-line. The advantages of pelectronic publishing are obvious and enormous: instantaneous access to archives, paperless media and fast document search to name a few. However, annotation of documents in electronic form has been surprisingly underdeveloped. Existing word processing software offers some tools for electronic document annotation. But as of today, these annotation features are so modest and limited, that they lose out to the convenient common practice of working with paper versions of documents [1]. The results of a surveys conducted came as no surprise: the absolute majority of researchers and students prefer to print out an electronic paper before reading and annotating it. Our claim is that electronic annotations can not only be as convenient as their paper counterparts, but they are superior in terms of the additional advanced capabilities they can offer. This claim makes the basis of our Annotation Technology (AT). AT is a set of principles that form a foundation for development of advanced and successful electronic annotation systems.
DOMAIN ORIENTED ONTOLOGY BASED SEMANTIC WEB SEARCH METHODOLOGY USING SPARQL QUERY
Authors: Kumar P. Nandha , Hemalathar M.
Published: May 2018

Semantic web facilitates the use of automated processing of descriptions on the web and exchange and representation of information is done in a meaningful way. But a conventional search engine, the context and semantics of the user query is not analyzed fully and the data is not well structured so it does not provide the relevant content needed by the user. Hence to overcome this problem, semantic web search has become an essential part in todayâ€™s world. In this proposed method the user given query is analyzed semantically and the web data is stored in an ontology which is well structured and conventional search is performed using SPARQL query viewer plug-in. Finally, ranking algorithm is used to rank the extracted links for the given query.Â  The results obtained are accurate enough to satisfy the request made by the user. The level of accuracy is enhanced since the ontology is made consistent and query is analyzed semantically to retrieve the correct result. The domain specific evaluation time obtained shows promising results.
Three dimensional surfaces foliated by the equiform motion of pseudohyperbolic surfaces in
Authors: Solouma E. M.
Published: May 2018

In this paper we study three dimensional surfaces in Â generated by equiform motions of a pseudohyperbolic surface. The properties of these surfaces up to the first order are investigated. We prove that three dimensional surfaces in Â in general, is contained in a canal hypersurface, which is gained as envelope of a one-parametric set of 6-dimensional pseudohyperbolic. Finally we give an example.
Enhanced LTrP For Image Retrieval
Authors: NAIR PRIYA C , Jebarajan Dr. T.
Published: May 2018

Local Tetra Pattern (LTrP) is an image retrieval and indexing algorithm for content based image retrieval (CBIR) which made a significant improvement in the precision and recall rates of the retrieved images. Enhanced LTrP for Image Retrieval (ELIR) proposes a novel method of image retrieval by adding additional features to LTrP together with the features of coarseness, contrast, directionality and busyness. The experimental results show that precision and recall of image retrieval improved from that of using LTrP alone.
The Automated VSMs to Categorize Arabic Text Data Sets
Authors: Al Rababaa Mamoun Suleiman , Hanandeh Essam Said
Published: May 2018

Text Categorization is one of the most important tasks in information retrieval and data mining. This paper aims at investigating different variations of vector space models (VSMs) using KNN algorithm. we used 242 Arabic abstract documents that were used by (Hmeidi & Kanaan, 1997). The bases of our comparison are the most popular text evaluation measures; we use Recall measure, Precision measure, and F1 measure. The Experimental results against the Saudi data sets reveal that Cosine outperformed over of the Dice and Jaccard coefficients.
Model-Based Tool-Assistance for Packet-Filter Design and its Future
Authors: Kaur Gurvinder , Panda Dr. S.N. , Dhaliwal Dr. Dalvinder Singh
Published: May 2018

Firewall is a device that secure the private network from unauthorized access. Model based Â tool assistance Â facilitate the design task and has contribute to the correctness of the filters. But the model based tool assistance approach is design time only does not manage actions at run time. So we shall propose model on run time auditing architecture to detect the attack while packet filtering in firewall technology. It is usually based on the log-files of the packet-filters.
Optimal Interactive Rainfall Maps (Iraq) in Client Side and Google Earth
Authors: Ali Hussain Zaydan , Al-Qaraawi Salih M. , Arab Ghusoon Eiden
Published: May 2018

Global environment change has become a worldwide concern in recent years. Rainfall is an important climatologically parameter, and knowledge of its temporal and spatial patterns is useful for researchers working in many disciplines, such as optimal management of agriculture, environment and related activities. Meteorological data coming from stations are the most reliable and used sources to assess the climate condition of an area. Historical records of monthly rainfall data for the time period 2003-2013 were acquired from the Iraqi Meteorological Organization and Seismology (IMOS). The long-term data were collected from 24 weather stations. To obtain optimal maps of rainfall we also used the Tropical Rainfall Measuring Mission (TRMM). In this paper we tried to explain the possibility of vector format KML and its properties for thematic mapping in Google Earth closer, which is used to display the resulting map outputs. Maps alone are compiled by the client using the Web site browser for transferring input variables to the server, where they are processed and map data is subsequently generated according to client requirements.
Motif Discovery and Data Mining in Bioinformatics
Authors: Qader Nooruldeen , Al-Khafaji Hussein Keitan
Published: May 2018

Bioinformatics analyses huge amounts of biological data that demands in-depth understanding. On the other hand, data mining research develops methods for discovering motifs in biosequences. Motif discovery involves benefits and challenges. We show bridge of the two fields, data mining and Bioinformatics, for successful mining of biological data. We found the motivation and justification factors lead to preferring naturalistic method research for Bioinformatics, because naturalistic method depends on real data. The method empowers Bioinformatics techniques to handle the true properties and reducing assumptions for un-modeled or uncover biodata phenomena. The empowerment comes from recognizing and understanding biodata properties and processes.
Roulette Wheel Selection based Heuristic Algorithm for the Orienteering Problem
Authors: Verma Madhushi , Gupta Mukul , Pal Bijeeta , K. Shukla Prof. K.
Published: May 2018

Orienteering problem (OP) is an NP-Hard graph problem. The nodes of the graph are associated with scores or rewards and the edges with time delays. The goal is to obtain a Hamiltonian path connecting the two necessary check points, i.e. the source and the target along with a set of control points such that the total collected score is maximized within a specified time limit. OP finds application in several fields like logistics, transportation networks, tourism industry, etc. Most of the existing algorithms for OP can only be applied on complete graphs that satisfy the triangle inequality. Real-life scenario does not guarantee that there exists a direct link between all control point pairs or the triangle inequality is satisfied. To provide a more practical solution, we propose a stochastic greedy algorithm (RWS_OP) that uses the roulette wheel selectionmethod, does not require that the triangle inequality condition is satisfied and is capable of handling both complete as well as incomplete graphs. Based on several experiments on standard benchmark data we show that RWS_OP is faster, more efficient in terms of time budget utilization and achieves a better performance in terms of the total collected score ascompared to a recently reported algorithm for incomplete graphs.
Performance Analysis of Advanced Hybrid Speech Coding Techniques in Time domain, Spectral domain and Perceptual domain
Authors: El-Mokadem Eslam Samy , Fouad Mohamed M. , Elgarf Talaat A.
Published: May 2018

Speech coding is the art of creating a minimally redundant representation of the speech signal that can be efï¬ciently transmitted or stored in digital media and decoding the signal with the best possible perceptual Quality. The speech transmission in wireless networks is associated with the reduction of extra information present in signal in such a way to preserve the quality and intelligibility of speech. It is known that the lower the bit rate the lesser the quality of the reconstructed speech however there is a constant quest to achieve a better speech quality at lower bit-rates.This paper presents performance analysis for the quality of advanced hybrid speech coding techniques in Time domain, Spectral domain and perceptual domain. These analyses are implemented on three different algorithms of advanced hybrid speech coding techniques such as CELP, G729 Annex A, G723.1 to assess the quality performance for English female speaker, English male speaker and Arabic female speaker by using Mat lab simulation program. Our evaluation criterion implemented includes the following tests: Signal to Noise Ratio (SNR), Segmental Signal to Noise Ratio (SNRseg), The Log-Likelihood Ratio (LLR), The Weighted Spectral Slope (WSS), Absolute Error,Perceptual Evaluation of Speech Quality (PESQ),NONE">Rating of speechdistortion, rating of background noise and the predicted rating of overall quality.
Free convection between vertical concentric annuli with induced magnetic field when inner cylinder is electrically conducting
Authors: NAND SARVESHA , Singh Ashok Kumar
Published: May 2018

An analysis is made for the fully developed laminar free convective flow in an open ended vertical concentric annuli with constant heat flux and constant temperature on the inner and outer walls, in the presence of a radial magnetic field. The length of the cylinder is assumed to be infinite and radiation heat transfer from the hot surface is assumed to be negligible. The inner cylinder is taken to be magnetic conducting while the outer cylinder is non-conducting. Buoyancy effect is also considered along with Boussinesq approximation. The induced magnetic field is taken into account arising due to the motion of an electrically conducting fluid. The governing linear simultaneous ordinary differential equations are first obtained in the non dimensional form and solved analytically for the velocity, induced magnetic field, temperature field and Â then skin-friction and induced current density are obtained. The expressions for the fluid flux and induced current flux in non-dimensional form have been also obtained. The effects of governing physical parameters occurring in the model are shown on the graphs and tables.
A Survey on Intelligent Water Drop Algorithm
Authors: AlDeeb Bashar Abedal Mohdi , Norwawi Norita Md , Al-Betar Mohammed A.
Published: May 2018

In the optimization areas, there are different algorithms that have been applied such as swarm intelligence algorithms. The researchers have found different algorithms by simulating the behaviors of various swarms of insects and animals such as fishes, bees, and ants. The intelligent water drops algorithm is one of the recently developed algorithms in the swarm intelligence field; this algorithm mimicked the dynamic of river systems. The natural water drops used to develop Intelligent Water Drop (IWD) algorithm. Therefore, the mechanisms that happen in rivers have inspired the researchers mainly to create new algorithms. IWD is a population-based algorithm where each drop represents a solution and the sharing between the drops during the search lead to a better drops (or solutions). This paper presents recent developments of the IWD algorithms in terms of theory and application. This paper concludes many of research directions that are necessary for the future of IWD algorithm.
Investigating the Synergistic Relationship between Enterprise Resource Planning and Business Intelligence
Authors: Ansari Nazeen , Thampi Gopakumaran
Published: May 2018

This study aims to discuss the synergistic relationship between enterprise resource planning (ERP) and business intelligence (BI). It focuses on the benefits obtained from ERP and BI framework integration. The purpose of this study is to identify the software engineering challenges associated with ERPâ€“BI integration. It also discusses methods for ERPâ€“BI integration and shift toward open source and standard-based integration technologies.
Content-Based Image Retrieval using Color Quantization and Angle Representation
Authors: Zaqout Ihab
Published: May 2018

An efficient non-uniform color quantization and similarity measurement methods are proposed to enhance the content-based image retrieval (CBIR) applications. The HSV color space is selected because it is close to human visual perception system, and a non-uniform color method is proposed to quantize an image into 37 colors. The marker histogram (MH) vector of size 296 values is generated by segmenting the quantized image into 8 regions (multiplication of 45Â°) and count the occurrences of the quantized colors in their particular angles. To cope with rotated images, an incremental displacement to the MH is applied 7 times. To find similar images, we proposed a new similarity measurement and other 4 existing metrics. A uniform color quantization of related work is implemented too and compared to our quantization method. One-hundred test images are selected from the Corel-1000 images database. Our experimental results conclude high retrieving precision ratios compared to other techniques.
Data Mining as Support for Customer Relationship Management: A Case Study
Authors: Dos Santos José Gonalo
Published: May 2018

This article describes the data mining application to CRM - Customer Relationship Management. The article starts with an introduction showing the importance of the CRM strategy for the company, after itâ€™s introduced the theoretical about CRM, Knowledge Discovery Database and its stages, with emphasis to the mining stage and concludes with presentation of a case study and the conclusions. For the case study it was developed a prototype of an information system of a bookstore, it was implemented, beyond the conventional functions, the association rules discovery algorithm. The implementation of the data mining technique allowed to the system supply support so that the user knows better the client, becoming possible the application of the strategy of CRM.
Feature Selection by Using Discrete Imperialist Competitive Algorithm to Spam Detection
Authors: Kalaibar Sorayya Mirzapour , Razavi Seyed Naser
Published: May 2018

Spam is a basic problem in electronic communications such as email systems in large scales and large number of weblogs and social networks. Due to the problems created by spams, much research has been carried out in this regard by using classification techniques. Redundant and high dimensional information are considered as a serious problem for these classification algorithms due to their high computation costs and using a memory. Reducing feature space results in representing an understandable model and using various methods. In this paper, the method of feature selection by using imperialist competitive algorithm has been presented. Decision tree and SVM classifications have been taken into account in classification phase. In order to prove the efficiency of this method, the results of evaluating data set of Spam Base have been compared with the algorithms proposed in this regard such as genetic algorithm. The results show that this method improves the efficiency of spam detection.
Improving the Performance Parameters of Microstrip Patch Antenna by using HFSS
Authors: Buttar Tanvir Singh , Sharma Narinder
Published: May 2018

A high-directivity patch antenna with broadside directivity is appealing, since a constrict beam can be obtained without the need of using an array of antennas. Hence, the solution becomes barer as there is no need for a complicated feeding network. In this senate, this paper presents a novel patch antenna design with high directivity in the broadside direction by using HFSS. The proposed finite element method is employed to design the rectangular microstrip patch antenna. The patch is divided into symmetrical rectangular pieces and has a small overlap area among them. This averts optimized geometries where rectangular pieces have only an infinitesimal connection. Hence, the proposed method is robust for manufacturing. The antenna functions in a higher order mode at 8.40 GHz, 16.5 GHz and the geometry fits inside a patch of 41mm Â£ 26mm on a substrate with a relative permittivity of 2.1 and a thickness of 1.75mm resulting in a gain of 9.94 dBi. The strength of this design is the use of FEM to select the optimized shape and the feeding place instead of a known shape and a fixed feeding place. The antenna has been fabricated and the simulation results are in good agreement with the measurements. These results in a less complicated design of a single high-directivity patch and enhance the gain and improve bandwidth.
Design of BPSK Modulator Using VHDL
Authors: Shetty Mamtha
Published: May 2018

Binary Phase Shift Keying represents the simulation results of binary digital modulation schemes. Here for BASK and BPSK modulation techniques use FPGA algorithm. If multiplier block is used for multiplication bit stream with carrier signal, used time will rises. In addition using multiplier block obtained simulation results were analyzed and compared to other simulation results. Source consumptions of FPGA-based BASK modulation technique and BPSK modulation technique were compared. Also, for different modulation algorithm, source consumptions of BASK and BPSK modulation technique were analyzed using VHDL. Designed modulators using VHSIC (Very High Speed Integrated Circuit) Hardware Description Language (VHDL) was realized on high speed FPGA (Field Program Programmable Gate Array). Because for used modulation technique data rate transfer is fairly important in wireless communication systems. The highest speed data rate transfer can be realized using fiber optic cables. In addition, BER (Bit Error Rate) of BASK and BPSK modulator was compared using MATLAB simulation program. Binary data rate is same for BPSK and BASK. BPSK and BASK modulations were designed on FPGA using VHDL hardware description language.
Texton Based Image Retrieval Using Indexed LBP Transitions
Authors: Rao A. Srinivasa , Krishna V.Venkata , Krishna Prof.YKSundara
Published: May 2018

The present paper derived a new model of texture image retrieval by integrating the transitions on Local Binary Pattern (LBP) with textons and Grey Level Co-occurrence Matrix (GLCM). The present paper initially derived transitions that occur from 0 to 1 or 1 to 0 in circular manner on LBP. The transitions reduce the 256 LBP codes into five texture features. This reduces the lot of complexity. The LBP codes are rotationally variant. The proposed circular transitions on LBP are rotationally invariant. Textons,which represents the local relationships,are detected on this. The GLCM features are evaluated on the texton based image for efficient image retrieval. The proposed method is experimented on a huge data base of textures collected from Google data base. The experimental result indicates the efficiency of the proposed model.
Truncated ARQ Based Cooperative Transmission Initialization
Authors: Khan Faisal Raisham , Shahid Dr. Muhammad Khalil
Published: May 2018

A communication is energy efficient when the communicating peers are near to each other or where the separating distances are short and the LOS component is a dominant one. The channel conditions in wireless communication vary with respect to time and distance. Let us consider a scenario where a terminal X is communicating to another terminal Y in a shadowed fading environment through an access point (AP) or a base station (BS). Supposing that the terminal X is at the border of the transmission range of BS, any slight movement of the terminal X may result in either degradation of the wireless channel between terminal X and BS or totally getting out of transmission radius of BS. The MAC layer of BS fails to receive the error-free packet as a result. The BS does not send back the ACK packet to the source terminal X. After waiting for a time specified, the source starts retransmitting the packet. If the source terminal does not receive the ACK packet even after a threshold number of retransmissions (RetryLimit), the source discards the packet. An efficient and reliable scheme of retransmission is proposed in this paper by using STBC based relay transmission system. MATLAB is used for simulation purpose and the results generated for direct and cooperative transmissions are compared in terms of the link layer parameter PER.