bluuebunny/crossref_metadata_2025 huggingface dataset:
A Prototype for the analysis of Conflict resolving Algorithms in Context aware Environment using simulation
Authors: GS Thyagaraju , D Poornima
Published: May 2018

In this paper we are proposing a GUI based Prototype for user centered environment like class room, library hall, laboratory, meeting hall, coffee shop, kitchen, living room and bedroom, which recommends useful services based on the userâ€™s context. Service recommendation is mainly based on parameters such as user, location, time, day and mood. Inaddition whenever the conflict arises among different users it will be resolved using some conflict resolving algorithms. The motivation behind the proposed work is to improve the user satisfaction level and to improve the social relationship between user and devices The prototype contains simulated sensors which are used to capture the raw context information, which is then described with meaningful English sentence and services are recommended based on userâ€™s situation. The proposed conflict resolving algorithms are Rule based algorithm, Bayesian probability based algorithm and Rough set theory based algorithm. The amount of conflicts resolved by these algorithms is also analyzed at the end.
HYBRID-CMOS LOGIC STYLE DESIGN FOR FAST SELF-CHECKING ADDERS DATA PATHS
Authors: HAMDI Belgacem , Ben Khalifa Khaled , FRADI Aymen
Published: May 2018

In this paper we present an efficient design for self-checking fast adders data paths. We investigate the implementation of concurrent error detection fast adders: carry look-ahead, Carry skip, Carry-select and Conditional-Sum adders. To achieve a low overhead, low power design, we use hybrid-CMOS logic style and combine Conventional CMOS and CMOS Pass transistor Logic (CPL). The proposed schemes are Totally Self-Checking (TSC). They are fully differential and checked by dual-rail and parity codes.
Odd Graceful Labeling Of Tensor Product of Some Graphs
Authors: Purohit G. N. , Sharma Usha , Chaudhary Rinku
Published: May 2018

(G);E(G)) with p vertices and q edges, if there exists an injectionfunction : V (G) ! f0; 1; 2; ; 2q ô€€€ 1g with each edge uv assignedthe label jf(u)ô€€€f(v)j, the resulting edge labels are f1; 3; 5; ; 2qô€€€1g.The tensor product of two graphs, G and H, has a vertex setV (G) V (H) and an edge between (u; v) and (u0; v0), i both uu0 2 E(G) andvv0 2 E(H), here we denote tensor product by ^. In this paper, weprove Sn ^ Sm, Sn ^ Pm and Cn ^ Sm are odd graceful.
Rule Based Fuzzy Indexing for Grading of proposed Industrial Sites for Power Plant Installation
Authors: Sambhoo Kalyani P , KAdam Sanjay S , Deshpande Ashok W
Published: May 2018

The problem of site selection in an indefinite environment has gained overriding importance in recent years. In case of selection of a site for the construction of new hazardous power plants have attained significance due to a variety of reasons. The authors believe that the issue of site selection for an upcoming, say, a power plant installation based only on Environmental impact assessment (EIA) study could be inadequate. Therefore, there is a need to look beyond EIA process, and suggest poilcy makers a set of useful mathematical techniues with an objective to rank the sites for such installtions. EIA is aimed at identifying the possible impacts of Industrial development activities on the existing Environment. This method begins with initial screening to check if it may result in negative impacts on the Environment. Scoping determines which components to include in the initial screening phase. Many components considered in the process cannot be measured precisely (e.g., response to public involvement programs, willingness for resettlement, possible effects on economy, social acceptance etc.,). In order to process this vague and subjective information, we have applied Fuzzy Indexing with a Rule base to check the suitability of a site for Thermal, Hydroelectric, Nuclear and Gas based Power Plant installations and classify them as v. Good, ˜Good, ˜Fair and Poor and finally grade them.
Design and Development of Apriori Algorithm for Sequential to concurrent mining using MPI
Authors: Pol Urmila
Published: May 2018

Owing to the conception of big data and massive data processing there are increasing owes related to the temporal aspects of the data processing. In order to address these issues a continuous progression in data collection, storage technologies, designing and implementing large-scale parallel algorithm for Data mining is seen to be emerging in a rapid pace. In this regards, the Apriori algorithms have a great impact for finding frequent item sets using candidate generation. This paper presents highlights on parallel algorithm for mining association rules using MPI for passing message base in the Master-Slave based structural model.
Investigation, Formulation and Development of an Open GUI for the Touchscreen Smartphone
Authors: Sooknanan Daniel Jovan , Joshi Ajay
Published: May 2018

The use of touchscreens in handheld mobile devices, including mobile phones, PDAâ€™s, media players and tablet PCâ€™s, has rapidly increased in recent times. One of the most important aspects of these devices is the software which comprises the Graphical User Interface (GUI). This paper is centered on designing and implementing an open source GUI for a touchscreen smartphone, with the overall intent being to verify that the use of open source development tools can reduce the cost of production and by extension the cost of smartphones on the market. The methodology adopted to achieve successful completion of this research included comprehensive background research into existing GUI design theory and mobile usability studies, and applying these findings to the design of an open source GUI, within the constraints of an Embedded Linux target platform. The major outcomes of this study include the successful formulation and design of a hierarchical, touchscreen GUI suitable for a smartphone, as well as successful development and target-specific implementation of this GUI on an Embedded Linux, ARM-based platform, functioning as a hypothetical smartphone. After successful implementation of the GUI, it can be said that the adoption of an open source philosophy in the design of a smartphone GUI can reduce overall cost.
Secure Data Forwarding in Cloud Storage System by using UMIB Proxy
Authors: Reddy P Radha Krishna , Sivaramaiah S , Sesadri U
Published: May 2018

The cloud storage system is a model consists of networked online collection of storage servers that provides long-term storage services over the Internet hosted by the third parties. Storing data in third partyâ€™s cloud system creates serious problems over data confidentiality & authorization. The normal encryption schemes may protect data confidentiality from unauthorized users, but these techniques are limited based on their functionality because only few operations are supported over encrypted data.Itâ€™s a challenging task to construct secure storage system with multiple functionalities, if the storage system is distributed. In this paper we developed a secure distributed storage system by using (UMIB-PRE) Unidirectional and Multiuse Identity based proxy re encryption technique with decentralized erasure code. The main theme of this UMIB proxy re encryption is to support encoding, storing and forwarding operations over encrypted data. Our method full supports encryption, decryption, encoding and forwarding techniques. We also suggest possible parameters for these key servers and storage servers as well. These parameters will give robustness to storage servers.
Prospects and Challenges of Implementing Enterprise Mobility Management Case of a Large Telecom Service Provider in United Arab Emirates
Authors: Ali Syed Mubashir , Usman Muhammad
Published: May 2018

Over the last few years, there has been an exponential rise in the trend to use mobile devices within enterprises. Organizations and employees are using their smart phones and tablets to aid in work. Several organizations has introduced the concept of â€œbring your own deviceâ€ (BYOD), in order to achieve more efficiency and improved productivity. This increase in use of mobile devices, although providing benefits to the organizations, is also resulting in more effort for the information technology (IT) staff to provide support and manage these devices within the enterprise. Several organizations around the globe are implementing mobile device management (MDM) / enterprise mobility management (EMM) solutions to manage mobile devices within the organization. This study identifies the prospects and challenges in implementing EMM using a case of a large telecom service provider in United Arab Emirates (UAE).
Development of Networks Model in The Serious Game of Agribusiness Management for Decision Making
Authors: Bukhori Saiful , Uta Wiji , Andrianto Anang
Published: May 2018

This research developed a decision-making process in the agribusiness management system and analyzed the behavior of fixed point for identifying the position of agribusiness interaction. Agribusiness is represented as node that work together in the marketÂ  to maintain the stability of market. Based on agribusiness management and data modeling, there are four conditions of the inter-company networks: (1) mutual dependence, (2) mutual independence, (3) unbalanced dependece, (4) unbalanced independence. The experiment resultsÂ  are the mutual dependence conditioan the fixed point towards stable value come near 0. The mutual independence, fixed point towards stable value, but stability value still not yet comeÂ  near 0. The unbalanced dependece, fixed pointÂ  oscillate and convergence. While the unbalanced independence, fixed point start oscillation.
Insurance as Strategy for Flood Risk Management at Limpopo River Basin A decision making Process under Uncertainty
Authors: Mondlane Avelino Isaias , Hansson Karin , Popov Oliver B.
Published: May 2018

The Limpopo River Basin, one of the nine international rivers crossing Mozambique, historically has shown to be cyclically flooded, undermining the economic and social development of its four riparian countries. Local and external added efforts are always in place when floods occur. Nowadays there are recommended ex-ante instruments to prevent floods and one of the most applicable instruments worldwide is insurance. Most of the inhabitants, even governments, affected by Limpopo River Basin are poor, therefore our concern regards the viability to apply insurance as a strategy for flood risk management. Moreover our research investigates to what extent the application of insurance, within two identified communities as case study, might create an added value in the process of decision making on flood risk management for Limpopo River Basin.
Global Prediction algorithms and predictability of anomalous points in a time series
Authors: Tripathi K C , Agarwal Rashi , Hrisheekesha P N
Published: May 2018

The Indian Ocean Dipole (IOD) event of 1997 had significant impacts on regional climate variability as it produced large Sea Surface Temperature (SST) anomalies in the Indian Ocean (IO). This dipole mode accounted for about 12% of the sea surface temperature variability in the Indian Oceanâ€”and, in its active years, also causes severe rainfall in eastern Africa and droughts in Indonesia. There have been speculations that the El-nino and Intra-Seasonal Oscillations (ISOs) act as stochastic forcing to reinvigorate the natural damped mode and hence contribute to the development of the IOD.Â  In the present paper we have statistically investigated whether the formation of the dipole was an anomalous phenomenon with respect to the time series generated by the deterministic laws of the system governing the IO SST or was this event a consequence of the dynamics of the system itself. For this, we have used the a global prediction algorithm i.e. linear regression. Prediction errors of global prediction algorithms such as the regression and Artificial Neural Network (ANN) models at various points in time contain important information regarding the statistical nature of the data. On the basis of the error analysis it is found that the occurrence of the IOD is a consequence of the state of the SST system as a whole together with the evolution laws. The role of ISO in providing external forcing to the dipole is investigated by analyzing the prediction errors of the global prediction algorithms for processes at intra-seasonal time scales. It is concluded that the Intra-Seasonal Oscillations may provide the stochastic forcing to the IOD.Â
A New Compound Swarm Intelligence Algorithms for Solving Global Optimization Problems
Authors: Hezam Ibrahim M. , Raouf Osama Abdel , Hadhoud Mohey M.
Published: May 2018

This paper proposes a new hybrid swarm intelligence algorithm that encompasses the feature of three major swarm algorithms. It combines the fast convergence of the Cuckoo Search (CS), the dynamic root change of the Firefly Algorithm (FA), and the continuous position update of the Particle Swarm Optimization (PSO). The Compound Swarm Intelligence Algorithm (CSIA) will be used to solve a set of standard benchmark functions. The research study compares the performance of CSIA with that of CS, FA, and PSO, using the same set of benchmark functions. The comparison aims to test if the performance of CSIA is Competitive to that of the CS, FA, and PSO algorithms denoting the solution results of the benchmark functions.
Survey on Various Testing Techniques and Strategies for Bug Finding
Authors: Kumar Mohit , Gandhi Geetika , Garg Sushil
Published: May 2018

Software testing is verification and validation process aimed for evaluating a program and ensures that it meets the required result. The main goal of software testing is to uncover the errors in software. So the main aim of test cases is to derive set of tests that have highest probability of finding bugs. There are many approaches to software testing, but effective testing of any software product is essentially a tough process. It is nearly impossible to find all the errors in the program. The major problem in testing is what would be the strategy that we should adopt for testing. Thus, the selection of right strategy at the right time will make the software testing efficient and effective. In this paper I have described software testing techniques which are classified by purpose.
Cost Analysis and Simulation of Decimator for Multirate Applications
Authors: Mehra Rajesh , Singh Lajwanti
Published: May 2018

In this paper, a decimator design has been presented for multirate digital signal processing. Â The decimator design has been analysed and simulated for cost comparison in terms of multipliers and MPIS. Two structures Â namely Transposed Direct form and Symmetric Direct form have been used performance and Â resource consumption analysis. The decimators have been designed Â & simulated using MATLAB. It can be observed from the simulated results that symmetric structure comsumes almost 50% less multipliers and MPIS compared to transposed structure. So the symmetric structure based decimator is suitable to provide cost effective solution
Identification of Position DC Motor and Control Using Fuzzy Type 2 Based PSO
Authors: Al-Faiz Mohammed Z. , Oglah Ahmed A.
Published: May 2018

This paper presents identification of a position DC motor using least squares analysis to estimate the parameters of an ARX model .Type-2 fuzzy logic controllers is proposed as an alternative solution in the literature when a system has a large amount of uncertainties. This paper proposed an algorithm of interval fuzzy type 2 logic controller(PSOIT2FLC)with the optimized parameters using particle swarm optimization in the design of fuzzy controller for the position control of DC Motor. The performance of the proposed PSOIT2FLC is compared with that of its corresponding conventional PSO algorithm type -1 FLC in terms of several performance measures such as rise time, peak overshoot, settling time, integral absolute error (IAE) and integral of time multiplied absolute error (ITAE) and in each case, the proposed scheme shows improved performance over its conventional counterpart. . Extensive simulation studies are conducted to compare the response of the given system with the conventiona genetic algorithm type -1 fuzzy controller to the response given with the proposed PSOIT2FLC scheme. Simulation works in MATLAB environment demonstrate that the PSO optimized fuzzy position controller became very strong, gives better results and possesses good robustness.
Algorithm based on Histogram and Entropy for Edge Detection in Gray Level Images
Authors: El-Sayed Mohamed A.
Published: May 2018

Edge detection and feature extraction are widely used in image processing and computer vision applications. Most of the traditional methods for edge detection are based on the first and second order derivatives of gray levels of the pixels of the original image utilizing 2D spatial convolution masks to approximateÂ  the derivative. In this paper we present an algorithm for edge detection in gray level images. The main objective is to solve the previous problem of traditional methods with generate suitable quality of edge detection. Our new algorithm is based on two definitions of entropy: Shannonâ€™s classical concept and a variation called Tsallis entropy. TheÂ  novel approach utilizing Subextensive Tsallis entropy rather than the evaluation of derivatives of the image in detecting edges in gray level images has been proposed. Here, we have used a suitable threshold value to segment the image and achieve the binary image. The effectiveness is demonstrated by using many different kinds of test images from the real-world and synthetic images. The results of this study were quite promising.
Noncommutative analogue of Diffie-Hellman protocol in matrix ring over the residue ring
Authors: Rososhek Semen Konstantin , Gorbunov Evgeniy
Published: May 2018

Abstract. Classical Diffie-Hellman protocol of the key establishment was the basis of the development of several key exchange protocols. But this protocol is not secure and it is not protected against the â€œman in the middleâ€ attack. The purpose of this article is to offer a secure and practical noncommutative analogue of the Diffieâ€“Hellman protocol that is reliably protected not only against â€œman in the middleâ€ attack but also against the quantum computer attack
Performance Analysis and Evaluation of Hybrid Network using different Integrated Routing Protocols
Authors: Narula Mr. Rajneesh , Gandhi Mr. Kaushal
Published: May 2018

The increasing demand of computer communication networks are growing rapidly day by day. With the growing need to distribute applications across multiple networks and the availability of high capacity, high-performance intermediate switching nodes, and networks, an efficient routing mechanism has become the core requirement. This research primarily focuses on the design and performance of Hybrid Network incorporating different intra-domain routing algorithms. The performance evaluation of different routing algorithms for the transmission of video- and voice-data streams over Hybrid network is demonstrated in this work.. This allows multiple Ethernet point-to-point links to be bundled into one logical full-duplex channel for Fast Ethernet (10BaseT, 100BaseT, or 1000BaseX). These applications require some QoS support such as guaranteed bandwidth, less delay, less jittering effect and low error rate. The QoS relies on a number of factors along with a suite of robust routing protocols that help to accomplish the task of moving datagram from source to destination with high bandwidth and low delay rate. An effective intra-domain network routing protocol may make distributed applications more efficient across multiple networks with the availability of high capacity and high-performance. A variety of intra-domain routing protocols such as Routing Information Protocol (RIP) and Open Shortest First Protocol (OSPF), Interior Gateway Protocol (IGRP) and Enhanced Interior Gateway Protocol (EIGRP) are available and widely used in designing such high capacity and high performance networks with optimum QoS. We evaluate the performance of these intra-domain routing protocols with IS-IS to recommend the optimum routing protocol to use to provide optimum QoS by means of OPNET Simulator TM. In this thesis work, the following objectives are considered and demonstrated.
Fingerprint Database Variations for WiFi Positioning
Authors: Acosta Nelson , Toloza Juan , Kornuta Carlos
Published: May 2018

Indoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.
BITS-Tree -- An Efficient Data Structure for Segment Storage and Query Processing
Authors: Easwarakumar K.S. , Hema T.
Published: May 2018

In this paper, a new and novel data structure is proposed to dynamically insert and delete segments. Unlike the standard segment trees, the proposed data structure permits insertion of a segment with interval range beyond the interval range of the existing tree, which is the interval between minimum and maximum values of the end points of all the segments. Moreover, the number of nodes in the proposed tree is lesser as compared to the dynamic version of the standard segment trees, and is able to answer both stabbing and range queries practically much faster compared to the standard segment trees.
ENVIRONMENTALLY SUSTAINABLE INVENTORY MODEL UNDER PERMISSIBLE DELAY IN PAYMENTS
Authors: Ritha W. , Vinoline I. Antonitte
Published: May 2018

Within the economic order quantity (EOQ) framework, the main purpose of this paper is to investigate the supplier optimal replenishment policy of permissible delay in payments. All previously published articles dealing with optimal order quantity with permissible delay in payments assumed that the supplier only offers the retailer fully permissible delay in payments if the retailer ordered a sufficient quantity. Otherwise, permissible delay in payments would not be permitted. However, in this paper, we want to extend this extreme case by developing the mathematical model for determining the cycle time. Under this condition, we model the retailers inventory system as a cost minimization problem to determine the retailers optimal inventory cycle time and optimal order quantity. Finally, numerical examples are given to illustrate all these cases and to draw managerial insights.
A Rule Based Answer Extraction System with Stemming & Anaphora Resolution
Authors: Gavali Mrs. A.V. , B. Hebbale Mr. Sunil
Published: May 2018

Natural Language Processing (NLP) is an area of computer Science and Sub area of Artificial Intelligence (AI).We are developing a rule-based system that can read a large collection of text (say for e.g. story) and find the sentence in the text that best answers the given question. The system uses set of handcrafted rules augmented with some NLP techniques like stemming, named entity extraction etc. that look for Lexical and semantic clues in the question and the text (i.e. story). Each rule awards a certain number of points to each sentence. After all of the rules have been applied, the sentence that obtains the highest score is returned as the answer.
Circuit Optimization For Transmission Gate Master Slave Flip-Flops
Authors: Muraboyina Maheswari , Govindarajulu Dr.S.
Published: May 2018

In this work, when dealing with transmission-gate-based master-slave (TGMS) flip-flops (FFs), a reconsideration of the classical approach for the delay, power, and area minimization is worthwhile to improve the performance in high-speed designs[1]. In particular, by splitting such FFs into two sections that are separately optimized and then reconciling the results, the emerging design always outperforms the one resulting from the employment of a classical Logical Effort procedure assuming such FFs as a whole continuous path[1]. Simulations have been performed at transistor level on several well-known TGMS FFs, designed in 65-nm and 90nm technologies using Microwind3.1 CAD tool, and the results have been compared to validate the correctness of such a procedure and of the underlying assumptions. Significant improvements have been found on delay, power and on area occupation, thus showing that this approach allows correctly dealing with the actual path in such circuits and hence to more properly steering the design towards the achievement of efficiency in the high-speed region[1]. epaEï¿½ n ï¿½ ï¿½ï¿½ RGMCET, Nandyal,maheswari.mmr@gmail.comÂ
Study on cerebral vascular image of spectral domain optical coherence tomography with compressive sensing
Authors: Xu Ping , Jin Zhaoyang , Yang Yong
Published: May 2018

We propose a novel compressed sensing method to retrieve cerebral vascular image for spectral-domain optical coherence tomography (SD OCT). The compressed sensing method based on l1 norm minimization is applied to reconstruct each A-scan data. The proposed method uses about 25% of the total data as required in traditional SD OCT to reconstruct the cerebral angiograpy. Therefore this method is favorable for high speed imaging for cerebral angiograpy. It is shown that the proposed method can achieve better performance of axial resolution and higher signal-to-noise ratio (SNR) as compared with the conventional methods.
Techniques in Image Steganography using Famous Number Sequences
Authors: Aroukatos Nikolaos Georgios , Manes Kostas , Zimeras Stelios , Georgiakodis Fotis
Published: May 2018

In In the last decades, Steganography techniques have been applied in a variety of data files. The need of copyrightprotection in Music, in Photography e.t.c pushed the software companies to develop many steganographic systemswhich they use, in various areas, e.g., in digital assets (DRM). In this paper, we propose a number of methods forimage steganography using Catalan numbers and Lucas numbers and we show that they produce better resultsthan the technique using Fibonacci numbers. We are able to use Catalan and Lucas numbers since we haveproved that these sets of numbers satisfy similar conditions to those of the Theorem of Zeckendorf.
Semantic Orientation of Sentiment Analysis on Social Media
Authors: Saritha Sri Khetwat , Devshriroy Devshriroy
Published: May 2018

User Generated Contents on social media, such has Blogs, Forums, YouTube, Twitter, Facebook and so on contains opinions or sentiments generated by the users about the object, such has product reviews, movie reviews, book reviews etc. The texts in these social media sites are short and generated constantly. These contents are well suited for knowledge discovery. The purpose of this paper is to locate, extract, classify and summarize the customer opinion about the products from the social media site YouTube. The proposed framework determines the semantic orientation of opinion expressed on product features as positive, negative or neutral. The system is also integrated with a visualization module to present feature based summary of user generated contents.
Development of HTTP Server for Remote Data Monitoring and Recording System
Authors: Singh D Joseph Sunder , Padmalatha Mrs. L.
Published: May 2018

This paper focuses on development of remote data monitoring and recording system in industries. Now a days we are using many Networked embedded systems for monitoring and control the home or industrial devices.These low cost devices are capable of reporting and receiving information in just the same way that computers on a network. The advent of Internet communication standard, TCP/IP, offers significant potential in terms of remote monitoring and management of construction sites using embedded systems. In this paper the design method of low cost system of remote data monitoring, and recording is designed based on ARM. For this a small HTTP SERVER is built in LPC2148 and it is connected with the remote monitoring terminal through Ethernet. The data can be stored in the SD Card via SPI interface. At the same time, for the sake of the versatility, the FAT file system is built in the SD Card. So, an Ethernet-enabled remote data monitoring system with the ability of data recording is built. This design is having advantage of cost-effective, easily realized, stable and reliable transmission. It can be connected to the INTERNET or LAN through TCP/IP protocol. FreeRTOS is used as an operating system running on ARM processor, an industrial grade RTOS for hard time applications. By this design the data is sent without a PC and system favourâ€™s large scale data acquisition system.
Enhancing the Security of the GPT Cryptosystem Against Attacks
Authors: Rashwan Haitham , Gabidulin Ernst M. , Honary Bahram , Cruickshank Haitham
Published: May 2018

The concept of Public key cryptosystems based on error correcting codes was invented by McEliece in 1978. In 1991 Gabidulin, Paramonov and Tretjakov proposed a new mversion of the McEliece cryptosystem (GPT) based on maximum rank distance codes instead of hamming distance codes. Respective structural attacks against dierent variants of the GPT cryptosystem were proposed by Gibson and lately by Overbeck. The Overbeck attack breaks all variants of the GPT cryptosystem and are turned out to be either polynomial or exponential depending on parameters of the cryptosystem. Furthermore, In 2013, Gaborit et al. have presented a decoding attack against the parameters of the simple variant of the GPT cryptosystem which were demonstrated to combat the GPT cryptosystem against Overbeck's attack. In this paper, we introduce two new secure approaches against both the structural (Over-beck's attack) and decoding (brute force) attacks. The rst one is called Distortion Matrix Approach (DMA), and the second is called Advanced Approach for Reducible Rank Codes (ARC). The DMA based on proper choice of a distortion matrix X, while, the ARC based on a proper choice of a scramble matrix P. Furthermore, we evaluate the simple variant of GPT cryptosystem against Gaborit et al. attack and demonstrate a new set of parameters which are secure against all known attacks. Our results show the proposed approaches com- bat the structural and decoding attacks with a large reduction in the key size in comparison to the original McEliece cryptosystem.
Comparative Analysis of Color Video Enhancment Techniques
Authors: Sunakara Rajeev , Sankar P.Ravi
Published: May 2018

Contrast enhancement has an important role in image processing applications. This paper presents a color enhancement algorithm based on adaptive filter technique. First, the proposed method is divided into three major parts: obtain luminance image and backdrop image, adaptive modification and color restoration. different traditional color image enhancement algorithms, the adaptive filter in the algorithm takes color information into consideration. The algorithm finds the significance of color information in color image enhancement and utilizes color space conversion to obtain a much better visibility. In the practical results, the proposed method reproduces better enhancement and reduce the halo distortion compared with the bilateral  methods.
Performance Analysis of Biscuit Manufacturing Plant in Steady State Using Fuzzy Availability
Authors: Kumar Pawan
Published: May 2018

This paper deals with the performance analysis of biscuit manufacturing plant consisting of six sub-systems using fuzzy availability in the steady state. These six sub-systems are arranged in series and parallel configurations. Mathematical formulation of the problem is carried out using Markov process and the governing differential equations are solved in steady state using normalizing condition. The effect of variations of fuzzy availability for different failure, repair rates and system coverage factor for each sub-system in steady state is also studied.
Extracting and Selecting Meaningful Features from Mammogram Digital Image Using Factor Analysis Technique
Authors: Abdalla Al Mutaz Mohamed , Deris Safaai Bin , M. Zaki Nazar
Published: May 2018

Breast cancer is the most common cancer in women around the world. Various countries including the United Arab Emirates (UAE) offer asymptomatic screening for the disease. The interpretation of mammograms is a very challenges task and is subject Â to human error. However the Mammography is considered to be a significant method for detection of breast tumors. Hence, finding an accurate and effective diagnostic method is very important to increase survival rate and reduce mortality of the women. Not all the features in the image give the characteristics and information of the image however, only some extracted features that can express enough information about the image. In this research statistical features selection methods have been developed with association with statistical techniques. 141 ROIs extracted from Digital Database for Screening Mammography (DDSM) has been used to contact this research. Our experiment was classified into two stages in order to reduce the image features which extracted from the ROIs. In the first stage we applied statistical techniques to reduce feature with high accuracy rate, in the second stage we applied graph based method and bayesian inference. Our method was able to achieve high accuracy compared to the original selected features.
Data Mining using Artificial Neural Network POS_NEG Rules
Authors: Shinde Pushkar , Patil Dr. Varsha
Published: May 2018

Diabetes patients are increasing in number so it is necessary to predict , treat and diagnose the disease. Data Mining can help to provide knowledge about this disease. The knowledge extracted using Data Mining can help in treating and preventing the disease. Artificial Neural Network (ANN) can be used to create an classifier from the data. The neural network is trained using backpropagation algorithm The knowledge stored in the neural network is used to predict the disease. The knowledge stored in neural network is extracted using Pos-Neg sensitivity method. The knowledge extracted is in form of sensitivity analysis to analyze the disease and in turn help in treating the disease.
Performance Analysis of Malicious nodes on Multi hop Cellular Networks
Authors: Yadav G. Vidhisha , Reddy N.Ramanjaneya , Sesadri U.
Published: May 2018

The existence of malicious nodes in multi hop cellular networks, which operate without a central administration infrastructure, can result in performance degradation or even disruption of the network operation. In this paper we proposed some approaches to analysis the consequences caused by malicious nodes in networks. We analyzed and reported the simulation result, that the effect on performance of network when malicious node present in it. Based on our past report on the behavior of all nodes we will achieve higher levels of security and reliability by utilizing them. To reduce the public key cryptography operations we will use light weight hashing operations along with the routes between source and destination.The proposed model improves all the drawbacks of multi hop cellular networks, which excludes and if not possible, minimizes the number of malicious node in the routes.
A Robust High Performance Face Recognition using Decorrelation of Local Features by Discrete Cosine Transforms
Authors: Honeywell Vasudha
Published: May 2018

This paper proposes a novel method of face recognition using de-correlation of local features using Discrete Cosine Transforms (DCT). The impulse for the proposed idea is with the fact that histograms DC constituent of local Gabor binary patterns constitute low frequency components which will sparsely help in actual recognition, because information in face resides in low frequency bands and is similar to all the images and also when these histograms are concatenated, it becomes difficult to differentiate and segregate actual frequency variations which add value for accurate recognition. A high correlation exists in between these histograms. This high correlation affects the recognition accuracy, hence de-correlation is achieved with the help of DCT application for individual histogram bins which aids in identification of actual frequency variations and highlights the changes in between two histograms thus improving the recognition accuracy. This method employs a non-statistical procedure which avoids training step for face samples thereby avoiding generalizability problem which is caused due to statistical learning procedure. The performance modeling is carried out by varying both internal and external factors of face recognition system and improvement is shown considerably high in terms of recognition accuracy and reduction in storage space by storing train images in compressed domain.
A Comparative Study of Color Image Segmentation Using Hard, Fuzzy,Rough Set Based Clustering Techniques
Authors: Eluri Venkateswara Reddy , Reddy Dr. E.S.
Published: May 2018

Image segmentation is the process of subdividing an image into its constituent parts and extracting these parts of interest, which are the objects. Colour image segmentation emerges as a new area of research. It can solve many contemporary problems in medical imaging, mining and mineral imaging, bioinformatics, and material sciences. Naturally, color image segmentation demands well defined borders of different objects in an image. So, there is a fundamental demand of accuracy. The segmented regions or components should not be further away from the true object than one or a few pixels. So, there is a need for improved image segmentation technique that can segment different components precisely. Image data may have corrupted values due to the usual limitations or artifacts of imaging devices. Noisy data, data sparsity, and high dimensionality of data create difficulties in image pixel clustering. As a result, image pixel clustering becomes a harder problem than other form of data.Â Taking into account all the above considerations we propose an unsupervised image segmentation method using Rough-Fuzzy C-Mean a hybrid model for segmenting RGB image by reducing cluster centers using rough sets and Fuzzy C-Means Method, and also compare the effectiveness of the clustering methods such as Hard C Means (HCM), Fuzzy C Means (FCM), Fuzzy K Means (FKM), Rough C Means (RCM) with cluster validity index such as DB Index, XB Index and Dunn Index. A good clustering procedure should make the value of DB index as low as possible, for Dunn Index high value, and for XB Index low value.
De-correlation stretch filtering approach for effective Poisson reduction in galaxy Images
Authors: Sathesh Sathesh , Manoharan Dr.J.Samuel
Published: May 2018

Noise reduction is one of the most important processes to enhance the quality of images. This paper proposes a statistical filter, the decorrelation stretch filter for the reduction of Poisson noise that occurs frequently in galaxy images. The primary purpose of decorrelation stretch is visual enhancement. Decorrstretch is applied to the three band images but can also work on arbitrary number of bands. This filter enhances the color separation of an image with significant band-band correlation. Effectiveness of the proposed filter is compared on the basis of Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE).
An Energy Efficient and Cooperative Congestion Control Protocol in MANET
Authors: Paul Sumit , Hossain Md. Javed , Azad Abul Kalam
Published: May 2018

MANET is collection of mobile devices form a self-creating, self-organizing and self-administering wireless networks. Due to mobility of nodes it is not possible to establish fixed paths for message delivery through the network. Hence, congestion is happening and it is the key problem for MANET. Many routing protocols have been proposed to overcome the congestion in MANET. One of the popular routing protocol is AODV, but it depends on individual receivers to detect congestion and adjust their receiving rates.  Another common routing protocol is EERCCP, which is better than AODV but sometimes it fails when link failure happens to relay node or if relay node moves from its current group to another group then there is no other mechanism to select an alternative relay nodes i.e. lack of cooperativeness. Consequently, we proposed a routing protocol named as EECCCP, which utilizes user cooperation to reduce congestion. The proposed energy efficient and cooperative congestion control routing protocol (EECCCP), performs well better than both the AODV and EERCCP. The proposed scheme encorporates the benefits of energy efficiency and cooperativeness which in turn  reduces the congestion effectively. It also overcomes the disadvantages of existing multicast congestion control protocol. Moreover, the proposed scheme does not impose any significant changes on the queuing, scheduling or forwarding policies of existing network protocols. The simulation results have shown that our proposed protocol EECCCP has the about 95% better delivery ratio and throughput with about 85 % less delay and energy consumption when compared with the existing protocol AODV. It also has the about 65% better delivery ratio and throughput with about 60 % less delay and energy consumption when compared with the existing protocol EERCCP.
Intrinsic and Extrinsic Motivation to E learning in Higher Education Institutions
Authors: Al-Alwani Abdulkareem
Published: May 2018

There were many researches which were conducted about implementation of e learning in Higher Education Institutions, but few of them were focused on the motivation of e learning. Even though, there are many applications of e learning in Higher Education Institutions, it is very obvious that there is a resistance to e learning from many users in different fields. The researcher in this study tries to examine the knowledge of selected faculty members to know what their motivations are towards e learning. The research explores various intrinsic and extrinsic motivations such as physical resources, accessibility to internet, perception towards e learning, training, pedagogy and teaching strategies, confidence, comparison to face-to-face teachings, time factor, administrative support, lack of time for students, lack of monitoring, recognition, workload, relevancy to taught courses, in-adequate release time, age, and students technical knowledge. Faculty from various countries responded â€˜strongly agree that adequate and workable physical resources, and accessibility to internet have high percentage (>30%) that motivates them to utilize e learning. While a small percentage chose less agree and disagree to other responses that contribute to motivation towards e learning.
FROM GRID COMPUTING TO CLOUD INFRASTRUCTURES
Authors: Banica Logica , Åžtefan Cristian
Published: May 2018

As a consequence of the economic crisis, the funds allocated for the development of the IT&C infrastructure in all domains become scarcer, whilst the need for computing services increases day by day and becomes a key factor in the existence and success of any institution or company.In the later years, new computing technologies have reached the market, technologies that allow transparent sharing of the physical resources and of the services for their users, like Grid computing paradigms, and lately Cloud infrastructures.In this paper we will conduct a comparative analysis of the architectures and services offered by the two kinds of technologies, aiming to determine if they can give a real competitive advantage to the academic environments through their cost/performance benefits.
A Comparative analysis of OFDM based Communication using different Mapping Schemes for Signal Modulation
Authors: Mahmood Nasir , Shahid Muhammad Khalil , Saeed Ali
Published: May 2018

OFDM is a multiplexing technique that is used to divide a frequency spectrum into sub-carriers that are orthogonal to each other. They are capable to carry high rate data transmission. TheÂ orthogonality is maintained by keeping one sub carrier, null on the centre of other sub carriers. Sub-carriers have cyclic prefix which is placed in between them and the bandwidth wastage due to guard band is reduced up to 50%. Spectral efficiency is ofÂ OFDM is far better than other frequency modulation techniques due to othrognality. Additionally, CP design helps in better diversity gain. The data is dispensed as sub-streams among sub carriers and each of the sub carrier is modulated as per the coding (PSK, BPSK, QAM). Thus rather modulating whole data stream over a single frequency, sub carriers are allocated portions of data that ensure large amount of data processing. To ensure orthogonality, serial data is converted into smaller parallel streams and are fed toÂ IFFT module, after which P/S conversion is performed and CP is inserted between the sub-carriers. The reverse of these steps happens in the receiving module. Important aspects ofÂ OFDM systems are, Synchronization, Pilot allocation,the Channel State Information or Channel estimation etc. However this paper takes up sub-carrier modulation techniques inÂ OFDM systems and puts a comparative analysis of them.
WEB E-PROCUREMENT APPLICATION: USING TECHNOLOGY ACCEPTANCE MODEL TO SUPPLIERS USE OF E-PROCUREMENT IN MALAYSIA
Authors: Alaweti Mohamed Fathi , Azizan Nurdiana A , Faryadi Qaise F
Published: May 2018

This paper is research aim to extension of the technology acceptance model (TAM)to web E-procurement system. Focusing on suppliers and the E-procurement system impact on their organization performance, this paper has thus examined the factor that is connected with E-procurement system acceptance at suppliers organizations. A qualitative Data collected from 9 corporate suppliers from over 12 organizations helped with the Validation of the factors comprising perceived usefulness, perceived ease of use, suppliers involvement, reliability, security, vendor support and service provider support are identified and their underlying relationships are discussed in the light of the existing literature. Finally Intermediary results from a cluster analysis show differences among respondents that improve our understanding web-based procurement practice.
Improve Enterprise Search using pattern matching and web mining techniques for E-Commerce Website
Authors: Goel Archit , Verma Neha
Published: May 2018

With the extensive expansion in the number of E-commerce websites, applying Web Usage Mining techniques to improve business is imperative. Also, employee as well as visitor satisfaction is important for an enterprise. This satisfaction is usually depends upon both, the effectiveness and efficiency of the search technology and how that information is published.
European Economies Stability Faced With Potential Outburst of Sovereign Debt Crisis. An Empirical Study Using Neural Network
Authors: Stancu Stelian , Constantin Alexandra Maria
Published: May 2018

Instilment, on a European level, of a state incompatible with the state of stability on a macroeconomic level and in the financial-banking system lead to continuous growth of vulnerability of European economies, situated at the verge of an outburst of sovereign debt crises. In this context, the current papers main objective is to produce a study regarding the vulnerability of European economies faced with potential outburst of sovereign debt crisis, which implies quantitative analysis of the impact of sovereign debt on the sensitivity of the European Unions economies. The paper also entails the following specific objectives: completing an introduction in the current European economic context, conceptualization of the notion of â€œsovereign debt crisis, presenting the methodology and obtained empirical results, as well as exposition of the conclusions.