bluuebunny/crossref_metadata_2025 huggingface dataset:
Feature-based Similarity Method for Aligning the Malay and English News Document
Authors: Nasharuddin Nurul Amelina , Abdullah Muhamad Taufik , Azman Azreen , Abdul Kadir Rabiah , Herrera-Viedma Enrique
Published: May 2018

Corpus-based translation approach can be used to obtain reliable translation knowledge in addition to the use of dictionaries or machine translation. But the availability of such corpus is very limited especially for the low-resources languages. Many works have been reported for the alignments of multilingual documents especially among the European languages, but less focusing on the languages with less linguistics resources. One of the challenges is to align the available multilingual documents for the creation of comparable corpus for these kinds of languages. This article describes an alignment method that utilized the statistical features of the documents such as the documentsâ€™ titles, texts of the contents, and also the named entities present in each document. This method will be focusing on the English and Malay news documents, in which in which the Malay language is considered as a low-resource language. Source and target documents were then compared in a pair. Accuracy, precision, and recall measurements were used in evaluating the results with the inclusion of three relevance scales; Same story, Shared aspect and Unrelated, to assess the alignment pairs. The results indicate that the method performed well in aligning the news documents with the accuracy of 96% and average precision of 81%.
The Impact of Social Media on Workplace Culture
Authors: S.Baqutayan Dr. Shadiya Mohamed , Al-Hamami Nasser Mohammed
Published: May 2018

Social media has begun long time ago, and recently has immeasurable popularity across theÂ globe. People tended to use this technology in making new friends, keeping up with their ownÂ friends, and most significantly sharing experiences and making life easy with the informationÂ gain from this new technology. Certainly, the most common reason for using this technology areÂ communication and collaborations, and surrly, the reason is because it is the most easiest way tobuild relationships in disperses social communities. Sampling of 81-employees and managersÂ assigned from organizations worldwide. Hence, their impact of social media networkingtechnology on workplace culture were measured. The aim of this research was to assess theÂ impact of media networking on employees behaviour, job satisfaction and performance.Eventually, the result indicated that social media networking technology have great impact onÂ employee behavior, performance, and job satisfaction. This outcome will help employee toÂ managed their work, gain competitive advantage for business organizations, and definitely helpÂ them establish and maintain their companyâ€™s reputation, granting them more confidence,Â successful, and effectual ways of working.
Software Quality: Issues, Concerns and New Directions
Authors: Sabbani Sarachyuth , Reddi Kiran Kumar , Rao S.V. Achuta
Published: May 2018

Software metrics and quality models have a very important role to play in measurement of software quality. A number of well-known quality models and software metrics are used to build quality software both in industry and in academia. Development of software metrics is an ongoing process with new metrics being continuously tried out.Â  However, during our research on measuring software quality using object oriented design patterns, we faced many issues related to existing software metrics and quality models. For a particular situation of interest, any established metric can be used. If none is found to be appropriate, a new metric can be devised. In this paper, we discuss some of these issues and present our approach to software quality assessment.
Digital Watermarking Techniques
Authors: Chahal Prabhjot Kaur , Singh Amritpal , Singh Palwinder
Published: May 2018

More the development of the multimedia, more the digitalization, the more is the access to internet. This fast rate of enhancement gives a sense of protection and authentication.Â  Digital watermarking technology provides a strong solution to insecurity created by digitalization. In this paper, our focus is on the basic concepts of watermarking, their characterisation, their techniques. Extending more, we will elaborate one of the latest technique of watermarking named as â€œDiscrete Cosine Transformâ€ (DCT).
Solutions of Linear and Nonlinear Volterra Integral Equations Using Hermite and Chebyshev Polynomials
Authors: Islam Md. Shafiqul , Rahman Md. Azizur
Published: May 2018

The purpose of this work is to provide a novel numerical approach for the Volterra integral equations based on Galerkin weighted residual approximation. In this method Hermite and Chebyshev piecewise, continuous and differentiable polynomials are exploited as basis functions. A rigorous effective matrix formulation is proposed to solve the linear and nonlinear Volterra integral equations of the first and second kind with regular and singular kernels. The algorithm is simple and can be coded easily. The efficiency of the proposed method is tested on several numerical examples to get the desired and reliable good accuracy.
An Intelligent AntNet-Based Algorithm for Load Balancing in Grid Computing
Authors: El-zoghdy Said Fathy
Published: May 2018

Computational grids have a huge number of diverse and scattered resources that are used in handling complex problems. A decent load balancing methodology is needed to utilize grid resource by efficiently distributing tasks, for execution, on available computing nodes.Ant colony is a major and popular method for approximate optimization. It works by simulating the actual antâ€Ÿs demeanor in detecting the best path for the resources of food. This research paper employs ant colony optimization in proposing a load balancing technique for computational grids. The performance of the suggested technique is computed, evaluated and compared with that of a Random Distributed Load Balancing technique using simulation. The achieved results reveal that the suggested technique enhances the task average response time. It reveals also that the enhancement ratio progressively rises up as the systemâ€Ÿs load rises up till the load come to be mild where the best enhancement ratio is achieved. Immediately after that, the enhancement ratio declines steadily as the systemâ€Ÿs load rises up till the system becomes saturated.
Security in Android
Authors: Sharma Amritesh Kumar , Singh Arun Kumar , Singh Pankaj P.
Published: May 2018

New technologies have always created new areas of concern for information security teams. Usually it provides time for the development of effective security controls. The rapid growth of the smartphone in market and the use of these devices for so many sensitive data have led to the emergence of security threat. A malicious user or malware on a device can create a number of risks for an organization, and so the fact that these devices are not necessarily connected does not translate to a lack of security risks. This paper will discuss why it is important to secure an Android device, what some of the potential vulnerabilities are, and security measures that can be introduced to provide a baseline of security of data on Googleâ€™s mobile OS
Persuasion Processes in Consumer Intent to Read Online Product Reviews: A Study Based on the Elaboration Likelihood Model
Authors: Chuang Shu-Hui , Shih Meng-Lin
Published: May 2018

Studies have shown that many prospective consumers have the intention of reading online reviews of a product before purchasing that product online. How this intention arises, however, has not been extensively investigated. The study described here used the elaboration likelihood model (ELM) to examine the central and peripheral persuasion processes involved in shaping consumersâ€™ intent to read online product reviews. These two processes were operationalized by respectively using perceived review quality and perceived review consistency as constructs in a model of persuasion to read online reviews. The findings of the study suggest that consumersâ€™ intent to read online product reviews is shaped by their perception of such reviews as being either of high quality or as consistent with their prior knowledge about the product being reviewed. For an individual consumer, the persuasiveness of one of these processes over the other depends on the two respective moderators of consumer involvement and consumer expertise.Â
SIAVA: Secret Information Aggregation Design for Various Applications in Wireless Sensor Networks
Authors: Ezhilvendan M. , Kavitha T. , Chinnadurai S. , Kumaran P.
Published: May 2018

In general information aggregation design that reduces a large amount of transmission is the most practical technique. In previous studies, homomorphic encryptions have been applied to conceal communication during aggregation such that enciphered data can be aggregated algebraically without decryption. Since aggregators collect data without decryption, adversaries are not able to forge aggregated results by compromising them. However, these schemes are not satisfy multi-application environments. Second, these schemes become insecure in case some sensor nodes are compromised. Third, these schemes do not provide secure counting; thus, they may suffer unauthorized aggregation attacks. Therefore, we propose a new concealed data aggregation scheme extended from Boneh et al.s homomorphic public encryption system. The proposed scheme has three contributions. First, it is designed for a multi-application environment. The base station extracts application-specific data from aggregated cipher texts. Next, it mitigates the impact of compromising attacks in single application environments. Finally, it degrades the damage from unauthorized aggregations. To prove the proposed schemes robustness and efficiency, we also conducted the comprehensive analyses and comparisons in the end.
AN EFFECTIVE USAGE PARAMETER CONTROL MODEL FOR CELL POLICING IN ATM NETWORKS
Authors: Seyi Seyi
Published: May 2018

The primary role of traffic control procedures is to protect the network so that it can achieve the required network performance objectives and yield a high quality of service (QoS). To guarantee the QoS, the network implements traffic control using the parameters agreed upon at the start of data transfer, thus avoiding problems with degraded QoS before they occur. This paper presents an efficient model for policing cells transmitted over ATM networks. The model was simulated by a program written in Java. From several simulation test runs and subsequent analysis, it can be deduced that the model gives a minimal cell transfer rate at a minimum intercell period, while the cell delay variation tolerance is held constant. Optimal cell loss ratio is also achieved when the minimum intercell period is held constant and the cell delay variation tolerance is high. The results show minimal cell loss ratio has been achieved and the data throughput of the model is high.
PRIVACY PRESERVING CLUSTERING BASED ON LINEAR APPROXIMATION OF FUNCTION
Authors: Pasupuleti Rajesh , Gugulothu Narsimha
Published: May 2018

Clustering analysis initiativesÂ  a new direction in data mining that has major impact in various domains including machine learning, pattern recognition, image processing, information retrieval and bioinformatics. Current clustering techniques address some of theÂ  requirements not adequately and failed in standardizing clustering algorithms to support for all real applications. Many clustering methods mostly depend on user specified parametric methods and initial seeds of clusters are randomly selected byÂ  user.Â  In this paper, we proposed new clustering method based on linear approximation of function by getting over all idea of behavior knowledge of clustering function, then pick the initial seeds of clusters as the points on linear approximation line and perform clustering operations, unlike grouping data objects into clusters by using distance measures, similarity measures and statistical distributions in traditional clustering methods. We have shown experimental results as clusters based on linear approximation yields goodÂ  results in practice with an example ofÂ  business data are provided.Â  It alsoÂ  explains privacy preserving clusters of sensitive data objects.
IMAGE SCRAMBLING USING NON SINUSOIDAL TRANSFORM AND KEY BASED SCRAMBLING TECHNIQUE
Authors: Kekre H.B. , Sarode Tanuja , Halarnkar Pallavi , Mazumder Debkanya
Published: May 2018

Nowadays Digital Images find a lot of applications almost in all the fields, for e.g. Information Hiding. Security of these images is very important. Image encryption is one method of providing security to digital images. In this paper we have proposed a method for Image scrambling which is based on a combination of spatial and frequency domain.Â  Four different Non sinusoidal transforms, Walsh , Slant ,Kekre and Haar were used. Three different types i.e Row , Column and Full Transforms of these four transforms were applied for Image scrambling , out of these four Kekre Transform gave the best result
Developing and Evaluation of New Hybrid Encryption Algorithms
Authors: AbdElminaam DiaaSalama , Abdul Kader Hatem M. , Hadhoud Mohie M. , El-Sayed Salah M
Published: May 2018

Wireless Sensor networks consist of hundreds or thousands of low cost, low power and self-organizing nodes which are highly distributed. As wireless sensor networks continue to grow, so does the need for effective security mechanisms because sensor networks may interact with sensitive data. Encryption algorithms play good roles in information security systems (ISS). Those algorithms consume a significant amount of computing resources such as battery power. Wireless Sensor networks are powered by a battery which is a very limited resource. At present, various types of cryptographic algorithms provide high security to information on networks, but there are also has some drawbacks.Â  The present asymmetric encryption methods and symmetric encryption methods can offer the security levels but with many limitations. For instance key maintenance is a great problem faced in symmetric encryption methods and less security level is the problem of asymmetric encryption methods even though key maintenance is easy. To improve the strength of these algorithms, we propose a new hybrid cryptographic algorithm in this paper. The algorithm is designed using combination of two symmetric cryptographic techniques and two Asymmetric cryptographic techniques. This protocol provides three cryptographic primitives, integrity, confidentiality and authentication. It is a hybrid encryption method where elliptical curve cryptography (ECC) and advanced encryption (AES) are combined to provide node encryption. RSA algorithm and Blowfish are combined to provide authentication and (MD5) for integrity. The results show that the proposed hybrid cryptographic algorithm gives better performance in terms of computation time and the size of cipher text.This paper tries to present a fair comparison between the new protocols with four existing different hybrid protocols according to power consumption. A comparison has been conducted for those protocols at different settings for each protocol such as different sizes of data blocks, and finally encryption/decryption speed. Experimental results are given to demonstrate the effectiveness of each algorithm.
Highly Scalable Network Management Solution Using Cassandra
Authors: Bhatewara Ankita , Waghmare Kalyani
Published: May 2018

With the current emphasis on Big Data, NOSQL databases have surged in popularity. These databases are claimed to perform better than SQL databases. The traditional database is designed for the structured data and the complex query. In the environment of the cloud, the scale of data is very large, the data is non-structured, the request of the data is dynamic, these characteristics raise new challenges for the data storage and administration, in this context, the NOSQL database comes into picture. This paper discusses about some non-structured databases. It also shows how Cassandra is used to improve the scalability of the network compared to RDBMS.
Enhancing the Performance of the BackPropagation for Deep Neural Network
Authors: Surakhi Ola Mohammed , Salameh Walid A.
Published: May 2018

The standard Backpropagation Neural Network (BPNN) Algorithm is widely used in solving many real problems in world. But the backpropagation suffers from different difficulties such as the slow convergence and convergence to local minima. Many modifications have been proposed to improve the performance of the algorithm such as careful selection of initial weights and biases, learning rate, momentum, network topology and activation function. This paper will illustrate a new additional version of the Backpropagation algorithm. In fact, the new modification has been done on the error signal function by using deep neural networks with more than one hidden layers. Experiments have been made to compare and evaluate the convergence behavior of these training algorithms with two training problems: XOR, and the Iris plant classification. The results showed that the proposed algorithm has improved the classical Bp in terms of its efficiency.
OCCUPATIONAL STRESS AMONG FEMALE ACADEMIC STAFF OF HIGHER EDUCATIONAL INSTITUTIONS (HEIs) OF SINDH
Authors: Shah Dr. Syed Muneer Ahmad , Memon Sanam , Saba Kanwal
Published: May 2018

This research paper aims to determine occupational stress among female academic staff of Higher education institutes of Sindh which is a province of Pakistan. For this purpose different public & private sectors were selected on random basis for the collection of data with the help of questionnaires using â€œLikert Scaleâ€ ranging from â€œStrongly Agree to Strongly Disagreeâ€. The targeted Participants were female Lecturers, Assistant professor, Associate professor and Professors, age group from 21 to 60. From the 250 targeted sample, 220 responses were reasonable which were considered. The results of the research shows that Administrative factors are highly correlated with Peer Relationship Factors then working environment factor, Peer stress can be managed when (HEIs) treated working staff fairly, encourage team work, properly rewarded, better promotions, high job security and choices of doing work. The limitation of this study is that its implications are only applicable to the Khairpur&Sukkur cities because of the limited time & budget resources.Â
QoS in Wireless Mesh Networks- A Review
Authors: Sandhu Preet Pavneet Kaur , Saini Prof. Jatinder Singh
Published: May 2018

This paper is a review on QoS issue of Wireless mesh networks. QoS comes up with a great collection of networking technologies and procedures that guarantees the capability of a network to deliver with predictable consequences. WMNs have emerged as a flexible, reliable and cost effective way of providing broadband internet access over wide areas through multi hop communication. This paper has reviewed different routing protocols usedÂ in the WMNs. The overall objective of this paper is to explore the various short comings of the routing protocols of WMN.
E-parliament and Democratic Representation in African States: Prospects and Challenges
Authors: Oni Aderonke , Samuel Oni
Published: May 2018

A healthy and credible legislature is indispensable for representative liberal democratic governance. While representation involves informing and listening to those represented and making decisions and exercising influence on their behalf, legislative institutions of many African countries lack the effectiveness to inform and interact with their constituents, thus resulting to serious citizens-representatives disengagement. This pervasive contemporary estrangement is manifested in public cynicism towards political institutions and a collapse in once-strong loyalties and attachment between citizens and government. This research paper draws from case analysis and literature search to examine the potentials and challenges of e-parliament for re-engaging the electorate in the democratic states of Africa. Findings reveal that by leveraging on the exponential growth of ICTs particularly, in the continent, e-parliament provides new strategies for increasing and strengthening deliberative and interactive dialogue between citizens and their representatives. With e-parliament, citizens-representatives estrangement is reduced and new forms of engagement and collaboration created thus making democratic processes more inclusive and transparent. In this process the crisis of democratic legitimacy and accountability is averted for the African states. Though the realization of the full potential of e-parliament in Africa is greatly hampered by such challenges as inadequate infrastructural facilities and capacity building, this paper argues that with effective ICT strategic planning and management so as to judiciously utilize available resources and a mechanism for ICT skill training and development for all stakeholders, e-parliament presents a glimmer of hope for responsive and accountable governance in Africa.
Robust Watermarking by Embedding Watermark in Sorted Mid-frequency Coefficients of Column Transform using DKT-DCT Wavelet
Authors: Natu Shachi
Published: May 2018

In this paper we introduce a watermarking method which is based on hybrid wavelet transform generated from two orthogonal transforms namely Discrete Kekre Transform and Discrete Cosine transform. As introduced in our previous work, column transform of host and watermark is obtained to make the technique computationally efficient. Watermark is compressed and normalized before embedding to improve imperceptibility of watermarked image. Middle frequency host transform coefficients are used to embed the watermark. Instead of random (row wise) embedment of watermark coefficients into host coefficients, sorting is applied to both coefficients to have a maximum match or minimum difference between them while embedding. Sorting improves the performance of the technique when compared to previous work done without sorting.
INTRODUCTION TO ROUTING PROTOCOLS
Authors: Kumar Nikhil , Singh Shah , Singh Jagdeep , Kumar Sahil
Published: May 2018

In this era of communication network, we can access any website or contact any person with the help of internet or telephone anywhere in the world without knowing where the website is hosted and without knowing where the person is located. This all is done within a few seconds very efficiently. But the question comes out how it is done? And the answer is that, it is only done with the help of network routing. In this paper we review the IP routing and its protocols.
Performance Effects of Current Consumption on Radio Receiver Bit Error Rate in IEEE 802.15.4 for Wireless Sensor Networks
Authors: Bamber Sukhvinder Singh
Published: May 2018

This paper investigates the radio receiver Bit Error Rate (BER) at different types of devices in IEEE 802.15.4 Wireless Sensor Networks (WSNs) for the different current draw parameters: transmit mode, receive mode, sleep mode and idle mode keeping other parameters like: initial energy and power supply same for all motes; Clearly proving that if BER is to be taken into consideration for the performance enhancement then Z1 mote should be implemented in IEEE 802.15.4 WSNs as they produce minimal BER.Â
Design and Implementation of New Future Television Cloud Computing
Authors: Eldin Salwa M. Serag , Khamis Salah A. , Hassan Prof. Abdel-Aziz Ibrahim Mahmoud , Alsharqawy Mohammed A.
Published: May 2018

A design and implementation of new future TV Cloud Computing (ClComp)Â  for international systems integration and bridging the gap between linear broadcast, information technology and Internet Protocol of television and mobile television is presented to help Authorized Groups (AuthGs) reach and engage audiences on any television screen. . The cloud design is applied to the Egyptian Radio and Television Union (ERTU). The applications, security, efficiency, flexibility, greater agility, less expenditure and to overcome geographic limitations which are the solution of the cloud are introduced to compete in a global market. The design and evaluation steps are addressed to insure the reliability and compatibility of cloud to the desired targets. A software package for audio watermarking has been presented as an example for its application to ensure protection, in case of saving, and security, in case of transmission of the media through the proposed cloud. The package contains many visual tests such as probability, spectrum, power and scatter diagrams to enable user to quickly investigate the content. All this application was done to suit the webâ€“based where many departments can get benefit from anywhere and anytime according to department request and cloud polices.
Suggested Marketing Strategy Using Apriori and FP-Growth Algorithms in retail sales in Egypt
Authors: Shalaby Amira hamada , El letif Dr.Mohmoud M.Abd , Rezk Dr.Amira , Hagag Prof.Mohamed
Published: May 2018

Due to the increase of retail sales in Egypt and all over the world, came the importance for the managers of supermarkets to develop marketing strategy to maximize their profits, by getting rid of inactive products. Product bundling is one of the most important marketing strategies used to get rid of stock by making integrated bundles of inactive products and demanded products with discount prices. We can do that through our recommendation system and also increase customers' faith by keeping up with their purchase habits changes in low prices. In this study, first association rules are applied to find the best-integrated bundles with optimal suggested bundle size according to customer habits. Second testing these resulting product bundles to eliminate bundles didn't contain Products aim to get rid of them. Finally the given suggested bundlesâ€™ elements replaced with stagnant products that are the same kind of product in the bundle but with another trade. During that study algorithms (Apriori and FP-growth) were studied. Although the two algorithms give strong association rules, and the results were so near. But FP-Growth algorithm was more efficiency as Apriori algorithm caused problems with minimum support parameter as, in a small system transaction, big minimum support did not work using it. Also, it makes the memory PC faces memory hangs when minimum support was very low. On the other hand, all of this didn't appear with FP-Growth algorithm, and it was faster in dealing data.
Prediction of Daily Concentration of Carbon Monoxide based on PCA-ANN
Authors: Almasi Saeed , Khademi Maryam , Pedram Mir Mohsen
Published: May 2018

Air pollution crisis is one of the gifts of industrial and technological development. It is increasing with population growth, urbanity, and consumption of fossil fuels. Air pollution crisis put the people who inhabit in polluted areas in danger. Although senior government managers have already done a lot of affairs to inhibit production and decrease the risks of all kinds of pollutants, they should survey the research issues relating to the solution of air pollution crisis at first to control and anticipate the amount of pollutant indexes. In this paper, the effects of PCA (principle component analysis) on the efficiency of two kinds of Artificial Neural Network (MLP, ANFIS) are studied to anticipate the daily density of CO in the weather of Tehran city. This research shows that the decrease in many variables and the recognition of effective variables on ANN improve performance neural network training speed.
Visualizing text similarities from a graph-based SOM
Authors: Kahloot Khalid , A. Mikki Mohammad , A. ElKhatib Akram
Published: May 2018

Text in articles is based on expert opinion of a large number of people including the views of authors. These views are based on cultural or community aspects, which make extracting information from text very difficult. This paper introduced how to utilize the capabilities of a modified graph-based Self-Organizing Map (SOM) in showing text similarities. Text similarities are extracted from an article using Google's PageRank algorithm. Sentences from an input article are represented as graph model instead of vector space model. The resulted graph can be shown in a visual animation for eight famous graph algorithms execution with animation speed control.The resulted graph is used as an input to SOM. SOM clustering algorithm is used to construct knowledge from text data. We used a visual animation for eight famous graph methods with animation speed control and according to similarity measure; an adjustable number of most similar sentences are arranged in visual form. In addition, this paper presents a wide variety of text searching. We had compared our project with famous clustering and visualization project in term of purity, entropy and F measure. Our project showed accepted results and mostly superiority over other projects.
IMPROVED NEGATIVE SELECTION BASED DECISION BASED MEDIAN FILTER FOR NOISE REMOVAL
Authors: Kaur Sarmandeep , Bawa Navneet
Published: May 2018

For de-noising an image, various filtering techniques are used but they have contradiction between noise removal and Edge preservation in an image. This de-noising contradiction has no efficient solution and they have to formulate a trade-off between the two contradictory aspects. In this paper we purpose a new technique that remove the noise and also preserve edges from image. This paper has proposed a new approach which will use decision tree structure to replace the noisy pixel in given window. The proposed technique seems to be effective as it will replace the noisy pixel with its best suitable alternative which is evaluated using negative selection based algorithm. The comparative analysis has clearly shown that the proposed technique outperforms over the available techniques.
A SIGNATURE IDENTIFICATION SYSTEM WITH PRINCIPAL COMPONENT ANALYSIS AND STENTIFORD THINNING ALGORITHMS
Authors: Olabode Olatubosun , Kehinde AdeniyiJide , Olufemi Akinyede , A. Samuel Oluwadare , A. Olusoga Fasoranbaku
Published: May 2018

Several biometric security systems have been implemented. Biometric is the use of a personâ€™s physiological or behavioural characteristics to identify the individual. An example of behavioural method of biometric is signature identification. Signature identification is the use of handwritten signature to identify a person. This paper attempt design and implement an algorithm for handwritten signature identification. The signature identification system consists of signature acquisition, preprocessing, features extraction and matching stages. Signature acquisition can be either online or offline (both were considered in this research work). Online signatures are obtained by signing on digital tablets while offline signatures are scanned (or snapped) into the system. Preprocessing stage of the system include turning the image to greyscale. The grey image is further converted to binary (black and white). The image is then thinned, using Stentiford thinning algorithm. Stentiford thinning algorithm in an iterative thinning method with a good thinned imaged output. The image is finally cropped to rid the image of unnecessary white spaces. For features extraction, principal component analysis is used. Principal Component Analysis is a good statistical tool for identifying pattern in data. Features extracted from each signature are stored as a template. After features extraction, the distance between signature templates are computed using Manhattan distance. If the distance exceeds a certain threshold, the test signature is rejected (otherwise it is accepted). The design system has a FAR of 4% and an FRR of 6% for offline signatures. A FAR of 2% and an FRR of 3% were obtained for online signatures
Watermarking Using LSB Shifting to Document Protection
Authors: Wasilah Wasilah , Irianto Suhendro Y. , Yuliawati Dona
Published: May 2018

The original signature or document. The application demonstrates that it can be used to protect a document or signature from fraud by an authorize person. Criminal can be considered as Harmful act or omission against the public which the State wishes to prevent and which, upon con eviction, is punishable by fine, imprisonment, and/or death. No conduct constitutes a crime unless it is declared criminal in the laws of the country. Some crimes (such as theft or criminal damage) may also be civil wrongs (torts) for which the victim(s) may claim damages in compensation. Criminals may be happened in every sector and in daily life. Criminal acts may be in the form of copy right fraud and signature forgery. In this work we try to solve or prevent those criminals. By using watermarking technique, the work proposed to introduce new technique to protect document originality quickly and accurately. Watermarking was carried out by inserting an image or text into signature image in order to protect. The work shows that file size produced by integrating the two same files but on different file stored and also produce different file size. Moreover Testing shows that steganography of image file with JPEG format and file image hidden with JPEG format which produced other small size of file from file steganography storage such as BMP and PNG formats.
Efficient Data Forwarding Mechanism in Backbone Networks by Employing MPLS Technology
Authors: Iltaf Walid
Published: May 2018

Multiprotocol Label Switching (MPLS) is a relatively new WAN technology that is attracting the networking professionals around the globe. Many ISPs have already deployed it in their network. Yet, some other ISPs are in the pipeline to deploy it. Nevertheless, it has caught the attention of professionals soon after it was developed. Instead of the IP address or MAC address, MPLS works on small labels. These labels are inserted between Data Link layer and Network layer of the OSI model. Forwarding decisions are based on these labels; instead of looking at complex routing tables. The MPLS network is configured, and tested under different conditions. A comparison is drawn between the IP and MPLS network. The obtained results show that MPLS has a lower end to end delay and less CPU utilization. Furthermore, MPLS has lesser processing delay as compared to the IP network. The performance difference is basically due to the intelligent forwarding mechanism of MPLS technology. It is also important to further investigate this topic in terms of security considerations. The labels values are not encrypted during transmission, and there is no authorization mechanism defined. It will be highly beneficial to have more sophisticated suite of security tools to encounter threats and vulnerabilities.
Online Research Portal
Authors: Lumauag Ramil G.
Published: May 2018

A Web Portal is a website or service that offers a broad array of resources and online services, such as search engines, directories, news, e-mail, and online information. Portals have evolved to provide a customized gateway to Web information. This study aimed to develop an Online Research Portal. Specifically, it aimed to create an online repository of researches and articles, publish researches and articles online, manage web content, distribute content depending on the user privileges and access level, create a venue for collaboration with other research institutions, create linkages with other research institutions, access information while off-campus, and disseminate latest update on research. An Evolutionary Prototype Model was used to develop the system and a test case was used to test the functionality. The respondents of the study were the randomly selected 25 Faculty of ISAT U Miagao Campus as well as 5 IT Experts coming from different sectors, and the system was evaluated by the IT Experts and Faculty using ISO 9126 software quality characteristics such as functionality, reliability, usability, efficiency, maintainability, and portability. Mean and standard deviation were used as statistical tool for this study. The expertsâ€™ evaluation of the system based on ISO 9126 criteria is effective and the faculty evaluation is very effective. The overall result of the evaluation is very effective, and the system meets the criteria for software quality characteristics; therefore, it is recommended to be implemented.
Dose distributions verification for High dose rate brachytherapy plans by using ionization chambers 2D array
Authors: Abdelfattah Rasha Moustafa , Deiab N. Ahmed , Elnaggar M. Hassan , Khedr M. Hany , Rizk R. Abdelmoneim
Published: May 2018

The purpose of this paper is to perform dosimetric verification (in-phantom) of dose distributions calculated with treatment planning system (TPS) by usingÂ  2D chamber array device in HDR brachytherapy. HDR brachytherapy treatment plansâ€™dose distribution verification is performed using the two-dimensional (2D) ionization chamber array MatriXX Evolution developed by IBA Dosimetry (IBA Dosimetry, Germany) whose detector area is covered with the Nucletron Freiburg Flap Applicator Set (Nucletron BV,Veenendaal, the Netherlands) with catheters such that the detector plane was set to 0.86 cm from the catheter plane. Fixed slabs of RW3 (Perspex) were added below the 2D-ARRAY to provide full scattering conditions. The phantom was scanned on computed tomography (CT) for treatment planning with 2.5-mm slice thickness. Based on the CT data of the phantom, three different plans were calculated by the planning system (Oncentrabrachy version 4.3, Nucletron BV) and then are exported to the VERISOFT software for comparison with measured data. For comparison of dose distributions, both dose planes â€“ measured & calculated â€“ were normalized Â to the global maximum dose of the reference matrix (measured data set) and compared using the Gamma index method. Gamma indexes were evaluated using a dose-difference criterion of 3% and a distance criterion of 3 mm (Î³â‰¤1).The total number of evaluated dose points for the vault test caseÂ  is 9755, 98.6 % of them (9623 point) passed the criteria of acceptability (3% delta dose and 3-mm distance criteria) and 1.4% of them (132 point) failed it. The total number of evaluated dose points for the full test case is 19964, 93.6 % of them (18683 point) passed Â the criteria of acceptability and 6.4% of them (1281 point) failed it. And the total number of evaluated dose points for the cylinder test case is 19871, 96.9 % of them (19258 point) passed the criteria of acceptability and 3.1% of them (613 point) failed it. By thisThe use of the two-dimensional (2D) ionization chamber array MatriXX Evolution for brachytherapy applications has been successfully demonstrated. The array measurements in these planes have shown acceptable agreement with the TPS, generally within 3% delta dose and 3-mm distance agreement criteria within each plane. The comparisons made led to make a relation between the passing percentage values to the number of the evaluated dose points for each test case and it was found that as the number of these pixels increases the possibility of having more failing points increases.
A Survey On Cloud Computing and Its Various Services
Authors: Kaur Parveen , Sachdeva Monika
Published: May 2018

Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have conducted a survey on the models of cloud environment, benefits and issues related to it.
Color Image Compression by Using Absolute Moment Block Truncation Coding and Hadamard Transform
Authors: Alrikabi Aliaa
Published: May 2018

This paper investigates image data compression as it is applicable to different fields of image processing, in order to reduce the volume of pictorial data which one may need to store or transmit, The research modifies a method for image data compression based on the two component code, in this coding technique, the image is partitioned into regions of slowly varying intensity. The contours separating the regions are coded by hadamard transform, while the rest image regions are coded by (AMBTC).
An Optimization Method Using Clustering Technique for the Human Emotions Detection Artificial Neuro-Fuzzy Logic System
Authors: Murad Omayya , Malkawi Mohammed
Published: May 2018

This paper utilizes clustering tool in MATLAB to find an optimal set of input parameters for the detection of human emotions using a neuro-fuzzy logic system. Previous studies have relied on a total of 14 physiological factors to detect one or more of 22 different human emotions. In this paper, we use clustering techniques to rank the factors in terms of their significance and impact on the system, and thus find a smaller subset of the factors for the detection of emotions. The clustering method shows that the stroke volume factor (SV) has the lowest impact in the model and as such can be eliminated from the set of factors. The electroencephalography (EEG), heart rate (HR), systolic blood pressure (SBP) and diastolic blood pressure (DBP) are shown to have the highest impact on the model, and must be include in the input set of the model. We compare the clustering method with exhaustive methods for finding the optimal set of factors.
Wavelet-Local binary pattern based face recognition
Authors: Ameen Azad Abdullah , M-Saleh Hardi M. , Abdul Zrar Kh.
Published: May 2018

Over the last twenty years face recognition has made immense progress based on statistical learning or subspace discriminant analysis. This paper investigates a technique to reduce features necessary for face recognition based on local binary pattern, which is constructed by applying wavelet transform into local binary pattern. The approach is evaluated in two ways: wavelet transform applied to the LBP features and wavelet transform applied twice on the original image and LBP features. The resultant data are compared to the results obtained without applying wavelet transform, revealing that the reduction base one wavelet achieves the same or sometimes improved accuracy. The proposed algorithm is experimented on the Cambridge ORL Face database.
A TABU SEARCH APPROACH FOR THE BI-OBJECTIVE HOSPITAL SITE DETERMINATION PROBLEM UNDER FUZZY ENVIRONMENT
Authors: Joshi Nidhi , Chauhan Surjeet Singh , Raja Raghu
Published: May 2018

The present paper attempts to study the bi-objective hospital site determination problem under fuzzy environment. In this paper, the concept of Tabu search is used for solving bi-objective facility location problem i.e. the most suitable hospital site to be searched out of the various possible sites nearest to the accidental prone areas so as to minimize the total transportation cost along with the transportation time using triangular fuzzy numbers. For this, we first search the hospital sites near accidental prone areas and then on the basis of that we obtain various optimal solutions with different transportation costs and times.
ZONE BASED SECURED ENERGY EFFICIENT MECHANISM IN WIRELESS SENSOR NETWORKS FOR EFFICIENT COMMUNICATION
Authors: Kumar Pankaj , Singh Ramanjeet
Published: May 2018

Wireless sensor network has revolutionized the way computing and software services are delivered to the clients on demand. Wireless sensor network is very important to the mankind. It consist of number of sensor called nodes and a base station. Nodes collect data and send to the base station. There are number of nodes which send data at a time. So, number of problems are occurred. Usually the WSNs are automated, that is they work without the human intervention. In such cases it becomes very crucial that the network must have the capability of self-healing security mechanism to handle with all the types of attacks. Without the use of security mechanism, the data can be altered or hacked by some intruder in the network. The nodes are connected with each other without a wired connection through the base stations, they are highly prone to the hacking attacks. WSNs are used to sense various environmental or other parameters which can be used to predict natural hazards, climatic changes or other types of data analysis. During the periods when the WSN nodes are in working condition, they need secure cryptographic keys for secure propagation of the sensitive information. The present research is focused on the design of energy efficient security mechanism for improved reliability in sensor based environment. The RSA encryption algorithm has used for encryption purposes.
Smallest Univalue Segment Assimilating Nucleus approach to Brain MRI Image Segmentation using Fuzzy C-Means and Fuzzy K-Means Algorithms
Authors: Alaba AJALA Funmilola , Oluwatobi AKANDE Noah , Akinkunmi ADEYEMO Isiaka , Oluwaseun Ogundokun Roseline
Published: May 2018

Image segmentation still remains an important task in image processing and analysis. Sequel to any segmentation process, preprocessing activities carried out on the images have a great effect on the accuracy of the segmentation task. This paper therefore laid emphasis on the preprocessing stage of brain Magnetic Resonance Imaging (MRI) images Smallest Univalue Segment Assimilating Nucleus (SUSAN) and bias field correction algorithms. Subsequently, brain tissue extraction tool was employed in extracting non-brain tissues from the brain image. Afterwards, Fuzzy K-Means (FKM) and Fuzzy C-Means (FCM) segmentation algorithms were employed for segmenting brain MRI images acquired from four different MRI databases into their White Matter (WM), Gray Matter (GM) and Cerebrospinal Fluid (CSF) constituents. Evaluation metrics such as cluster validity functions using partition coefficients and partition entropy; area error metrics such as false positive, true positive, true negative and false negative (FN); similarity index, sensitivity and specificity were used to evaluate the performance of both techniques. A comparative analysis of the experimental results revealed that in most instances, FKM segmentation technique is preferable to FCM segmentation technique for brain MRI segmentation task.