bluuebunny/crossref_metadata_2025 huggingface dataset:
A Cost Effective DVI interface on Virtex-5 FPGA Through Verilog HDL
Authors: A S Asif Ahmad
Published: May 2018

There is a definite need for video and image processing technologies in today's world. However the computer vision technologies need to be tested and optimized. There is need for testing these interfaces for the platform which we work on. This modeling is a cost effective architecture for interfacing Digital Visual Interface(DVI) on Virtex5 FPGA's. The architecture is modeled in such a way that it does not use XPS micro blaze or Power PCÂ  processor but simple pixel feeder design, configuration of the Chrontel 7301C chip design and the interface between them.
Forecasting Personal Shopping Behavior
Authors: Hsiaoping Yeh
Published: May 2018

Data mining (DM) techniques make efforts to discovery knowledge from data. Aiming to finding patterns, association rule (AR) computing algorithms seem to be one to be adopted on variety applications. To be originally claimed for best analyzing customer shopping goods in baskets, Apriori, the first AR algorithm, has been discussed and modified the most by researchers. This study adopts Apriori algorithm to forecast individual customer shopping behavior. This study finds that customer shopping behaviors can be comprehended better in a long run. With Apriori mining and the examining principles proposed by this study, customer purchase behaviors of no matter constant purchase, stopping purchasing habitual goods, and starting to purchase goods that never bought before is able to be recognized. However, impulse purchase, including purchase for holidays, is unable to be discovered.
Evaluation of a New Mobility Assistive Product for the Visually Impaired
Authors: Sanz Pablo Revuelta , Mezcua Belén Ruiz , Pena José M. Sánchez , Walker Bruce N.
Published: May 2018

In this study we present the results of evaluating the sonification protocol of a new assistive product aiming to help the visually impaired move more safely with the help of sounds organized in different cognitive profiles. The evaluation was carried out with 17 sighted and 11 visually impaired participants. The experiment was designed over both virtual and real environments and divided into 3 virtual reality based tests. Finally, four participants became experts by means of longer and deeper training, and they participated in a real life test and in a focus group at the end of the tests. Both quantitative and qualitative results were extracted, showing that the proposed system is able to help the users understand their surroundings via sounds. However, important limitations have been found in the sample used (some important demographic characteristics are strongly linked among them, limiting segregated analysis), the usability of the most complex profile, or even the special difficulties faced by the completely blind participants as compared to the sighted and low vision participants.
Social Representations of ICT in High School Students in Niger
Authors: Karsenti Thierry , Kouawo Achile
Published: May 2018

This article examines social representations of information and communications technologies (ICT) in high school students in Niamey, Niger, and explores whether these representations are determined by training in and regular use of ICT. A sample of 50 students attending two lycÃ©es (an academically oriented high school) was studied. Only one lycÃ©e offered computer courses. The results of semi-directed interviews show that, whether or not they took computer courses, the students developed social representations of ICT. These representations were associated with favourable attitudes toward computer and Internet use at school. The chi-square test hypothesis shows that studentsâ€™ social representations of ICT were not determined by training in ICT.
The Impact of Firm Size and E-commerce Usage on Business Performance on Hospitality Industry: A case of Libya
Authors: A. Said Mohamed Ahmed , Azlinna Binti Aziz Prof. Madya. Dr. Noor
Published: May 2018

The hospitality industry is major service sector in most of developed and developing countries in the world economy, and nowadays many hotels implemented e-commerce for their business models and gained great advantages and increase profitability. This study aims to examine the impact of firm size and e-commerce usage on business performance of hospitality industry in general and hotels in Libya in particular. A quantitative approach was applied on hotel industry in Libya, mainly those hotels that have previous practices and experience with e-commerce. The results shows that small and medium size firms in hospitality industry in Libya are facing similar challenges and obstacles to other small businesses when establishing e-commerce website, and also shows a strong relationship between e-commerce usage and business performance, and high increase in profitability when hotels implement e-commerce and start to conduct online booking
PROPOSED A COMPACT MULTIBAND AND BROADBAND RECTANGULAR MICROSTRIP PATCH ANTENNA FOR C-BAND AND X-BAND.
Authors: Tiwari Rahul , Verma Seema
Published: May 2018

In this communication two proposed antenna described one for broadband at 6.71445GHz to 11.9362GHz with finite ground plane. TheÂ antennaÂ designed with 11.4051mmÃ— 8.388 mm radiating copperÂ patchÂ with ground plane design with 21.0051mm x17. 988mm. And this Compact broadbandÂ rectangularÂ shapeÂ microstripÂ patchÂ antennaÂ is designed and analyzed for the return lossÂ ofÂ -20.08 dB is achieved at the resonant frequencyÂ ofÂ 7.941GHz, From Antenna2-it is observed that, antenna for multiband at different frequency. The primary radiating elements are Simple Rectangular Microstrip Patch Antenna in upper side with probe feed and use finite ground plane are two parallel crossed printed slot for three different frequency applications which is smaller in size compared to other availableÂ multibandÂ antennas. From the result, it is observed that, the return lossÂ ofÂ -16.97 dB is achieved at the first resonant frequencyÂ ofÂ 4.853GHz, -10.30dB at the second resonant frequencyÂ ofÂ 8.382GHz, -10.73 dB at the third resonant frequencyÂ ofÂ 9.265GHz, -17.38 dB at the fourth resonant frequencyÂ ofÂ 10.15GHz and -12.37 dB at the fifth resonant frequencyÂ ofÂ 11.91GHz. This broadband and multi-band highly efficient antennaÂ forÂ use in C-Band, and X-Band.
A System for Movement Detecting Congestion.
Authors: R Reeja S. , Kavya Dr. N. P.
Published: May 2018

In this paper, we present a system for tracking and provide early information of hazardous locationsin huge gatherings. It is based on optic flow estimations and detects sequences of crowd motion that are characteristic for devastating congestions. For optic flow computation, Lucas- Kanade method is employed to determine the optical flow vectors for the gathered video. Segmentation of video sequences is done and optic flow is determined for respective segments. A threshold optic flow is chosen in such a way that the tracking of congested area in video is easilydoneby comparing it with respective segmentâ€™s determined optic flow values. Finally, we present the location of crowd congestion which helps in taking further protective measures to handle unusual events.Â Â
Towards Automatic Web Data Scraper and Aligner (WDSA).
Authors: Swami Shridevi A. , Vidap Pujashree S.
Published: May 2018

Web is very immense and fast emerging source of information. Web browsers along with search engines have come forward as famous tools for retrieving and accessing the information present on web. Enormous growth of web made the data extraction from web harder than ever. This paper presents the Automatic Web Data Scraper and Aligner (WDSA). Automatic WDSA extracts the interested web data present in dynamically generated web page received from search engine when user gives a query. Automatic web data scraping is necessary because human being can identify the interested query relevant contents from query result web page, however it is tricky for computer applications. Extracted web data can be further transferred into a format suitable for use in applications like comparison shopping, data integrations, value added services etc. WDSA does this by aligning the extracted web data pairwise as well as holistically in table. The novel thing about Automatic WDSA is that Data Scraper and Aligner uses new approach which combines similarity of both tag and value, for extraction and alignment process. Also Data Scraper handles the data which is present in non contiguous fashion due to presence of auxiliary information like advertisement banners, navigational links, pop ups etc. Experimental results show that Automatic WDSA achieves high precision and recall. Further Automatic WDSA is compared with existing most widely used famous tools like Helium scraper, Outwit Hub, Screen Scraper etc. During comparison we observed that Manual labeling or extraction patterns of desired data is to be specified for working of existing tools while Automatic WDSA does not require any user involvement which made it fully automatic.
ICT PERSONNEL MATURITY TOWARDS GREEN ICT IN KENYA
Authors: Wabwoba Dr. Franklin Wabwoba , Mbugua Dr. Samuel , Ikoha Mr. Anselemo Peters , Shisoka Ms.Dorcus Arshley
Published: May 2018

Though ICT is contributing to the economy associated with innovations, inventions and rapid development in almost all aspects of human life, is responsible for climatic degradation. The rapid increase of ICT usage means more costs of doing business, energy consumption, and more environmental challenges. The rapid changing technology reaching Kenya and lack of their understanding has put a lot of pressure on both management and ICT personnel to implement them on a trial and error manner. This has limited the gains meant to be obtained from green ICT despite its technologies availability.Â  The lack of ICT personnel capacity readiness challenges the reaping of green ICT benefits. The study was informed by the G-readiness model and the enhanced G-readiness model. This study purposed to determine the personnel capacities readiness towards green ICT in Kenya. The study was undertaken using the interpretive, inductive multi-case survey study on a population of four data centres and 116 ICT managerial, technical and user personnel that were purposively sampled. Interview, observation, questionnaire and document analysis methods were used to gather data that was triangulated to increase the reliability and validity. The study established the ICT personnelâ€™s G-readiness was very low on both training and professional development perspectives in Kenya. The studyâ€™s findings are useful towards the strategic planning for green ICT implementation, cutting down running costs, improving environmental performance of organisations and contribution to the world of knowledge. The findings provide data for informed ICT personnel and workplace readiness alignment, decision making and ICT curriculum development. The study recommends application of green ICT based on established ICT personnel capacity, inclusion of green ICT training in the curriculum, creation of green ICT responsibilities, provision for a green ICT budget and investment into the development of green ICT personnel
Performance Evaluation of COCOMO Vs UCP
Authors: Dureja Monika
Published: May 2018

Effort estimation is a measure factor of estimation in todayâ€™s world. From a long time being, a no. of techniques is employed for the estimation of efforts. Very popular and widely used techniques are COCOMO1 and COCOMOII that estimates the cost in terms of efforts. But effort is linearly or non-linearly dependent upon the size of the developing software. For size estimation, Lines of Code (LOC) counts technique showed its comforts as developer do not have to solve any mathematical equations, just count the no. of lines of the developed software. But uncertainties in its results and other limitations led us to use different approaches. Then came Functions Point (FP) technique, this technique proved its goodness in almost every aspect where LOC lacks. Developers estimate Lines of code early before the software is finally built. Several factors have to be considered before estimation as how many no. of input screens, output screens, external inquiries, and database related internal logical files, external interface files and many other technical factors that affect accuracy of estimation. FP had been used for a long time being for estimation of size, which is the main input for COCOMO1 and COCOMOII.But as the time changes, needs and their solutions also changes. Today, software are based on object oriented paradigm and OOP languages. Developers use Unified Modeling Language (UML) notations and diagrams for estimation of each aspect of software development. So the main factor is to use such a technique that supports the OOPs for estimation purposes. Main approach of this thesis is to implement Use Case Point estimation (UCP) Technique to overcome the drawbacks of FP which was considered as a procedural oriented (POP).Further evaluation of the performance of UCP in comparative to COCOMO 1 and COCOMOII is taken. This all will be performed with the help of a self implemented tool having all the functionalities at one location.
Developing a Genetic Fuzzy System Model for Cost-Benefit Analysis.
Authors: Singh Saurabh , Shukla Praveen Kumar , Ranjan Rashmi , Kumar Anurag
Published: May 2018

Cost benefit analysis is a systematic approach for calculation and analyzing the cost of a project. Soft computing approaches are also applicable to deal with cost benefit analysis. In this paper Mamdani fuzzy system has been developed for cost benefit analysis. The genetic optimization of the model is carried out. The interpretability and accuracy features are also analyzed.
Advantage of Collaboration Workflows in the Automotive Supply Chain: Case Study on the Automotive Cluster of Slovenia
Authors: Oman Simon
Published: May 2018

Strengthening of collaboration among individual business partners has proved essential for the structuring of Slovenian economy and enhancing competitive advantage on the global market. At the same time, ontology, as an important concept of business collaboration among individual business partners, has been proposed for the collaboration of information systems in the supply chain. The present paper presents a case study of internet-based collaboration workflows in the automotive supply chain. Furthermore, the paper reveals a prototype solution, describing a concept of integration between the Enterprise Resource Planning (ERP) and open source business process management software. The partners in the Automotive Cluster of Slovenia (ACS), striving to make use of internet services in their operations, are consequently allowed to integrate into the supply chain. The result ensures that the competitiveness of small and medium-sized enterprises (SMEs) does not depend on internal IT infrastructure although their IT collaboration is supported by open source collaborative workflows.
The Effects of Various Frequency Scaling Algorithm on Embedded Linux CPU Power Consumption
Authors: Shuhaizar D. , Ahmad R. Badlishah , Lynn Ong Bi
Published: May 2018

In this paper we have tested various frequency scaling algorithm available in Linux and measured the effects of the different algorithms during operation in an actual system. We have tested all the default scaling algorithms included in Linux in a controlled testing environment and measured the actual effects of the scaling algorithms to the CPU power consumption during operation. In order to retain high accuracy and avoid unnecessary components from affecting the results, we have conducted the measurement directly on the CPU power supply line and logged the power usage in real time.
Role of Taxation in Formulation of Fiscal Plan (Case study of Pakistan)
Authors: SalehMemon Muhammad , Shah Dr. Munir Ahmed
Published: May 2018

Research on the role of taxation in formulation of fiscal plan was started from the idea of data collection from the ministry of finance government of Pakistan for the purpose of checking the inter correlation and degree of association between tax collection and dependent variables of fiscal plan: development expenditure, non-development expenditure, by applying Pearson 1-tailed test and linear regression for checking the above effects, moreover researchers found that tax collection is highly correlated with development as well as non-development expenditure, and tax collection is positively associated with the development and non-development expenditures.
The Effect of Consumer Decision Making Style on Retail Format ChoiceBehavior: A Study from Sukkur, Pakistan.
Authors: Saleh Memon Muhammad , Mangrio Ahmed Ali , Jatoi Amjad Ali
Published: May 2018

Research on exploring effects of Consumer Decision Making Style on Retail Format Choice Behavior and to study the effect of demographic factors on each factor of decision making style was conducted. The usable data of 116 respondentsâ€™ was taken from the city of Sukkur in Pakistan. The multiple regression technique was used to explain the role of afore mentioned factors. Results conclude that only 7.9% is explained by Decision Making Styles on Retail Format Choice. And maximum of 18.7% is explained by four demographic factors on a Consumer Decision Making Style.
CHALLENGES, CLASSIFICATION AND COMPARATIVE STUDY OF QOS SOLUTIONS IN MANET.
Authors: Phate Neelam , Rizvi M.A.
Published: May 2018

A mobile ad-hoc network (MANET) is composed of mobile nodes without any fixed infrastructure. Mobile nodes are communicating with each other over radio links. The large amount of real-time traffic involves high bandwidth and liable to congestion. Routing in MANET is a challenging task due to high mobility of nodes in a network. Quality of Service (QoS) is an important consideration in MANET. It is more difficult to guarantee QoS in MANETs than in other type of networks. To establish the routes and to secure the resources necessary to provide the QoS requires collaboration among the nodes. Therefore, QoS routing protocols face the challenge of delivering data to destinations.Â  The appropriate QoS metrics should be used, such as bandwidth utilization, delay, packet delivery ratio (PDR) and jitter for QoS based routing. This paper provides the challenges, classification and comparison of some of the QoS solutions in MANET.Â
An Executive Approach to Achieve Mutual Exclusion in Distributed Data using Topology and Association Rule.
Authors: Singh Mr. Anurag , Tiwari Dr. Amod
Published: May 2018

In this paper, a new approach is being proposed to achieve mutual exclusion in distributed system usingÂ computer network and topology of nth nodes. In this executive approach nodes communicate amongÂ themselves using message passing technique. In this executive approach, distributed system with nÂ nodes is logically partitioned into number of sub distributed system having only mÂ½ nodes, where m isÂ obtained by adding a minimum number in n to make it next perfect square number only if n is not aÂ perfect square. Proposed algorithm is a Token based approach and achieves token optimally in 2Â messages only for the best case and in worst case a node achieves token in n messages only.
Identification of Cardiac Diseases from(ECG) Signals based on Fractal Analysis
Authors: Marie Rashiq , Alfi Maram H. Al
Published: May 2018

This paper investigates the use of fractal geometry for analyzing ECG time series signals. A technique of identifying cardiac diseases is proposed which is based on estimation of Fractal Dimension (FD) of ECG recordings. Using this approach, variations in texture across an ECG signal can be characterized in terms of variations in the FD values. An overview of methods for computing the FD is presented focusing on the Power Spectrum Method (PSM) that makes use of the characteristic of Power Spectral Density Function (PSDF) of a Random Scaling Fractal Signal. A 20 dataset of ECG signals taken from MIT-BIH arrhythmia database has been utilized to estimate the FD, which established ranges of FD for healthy person and persons with various heart diseases. The obtained ranges of FD are presented in tabular fashion with proper analysis. Moreover, the experimental results showing comparison of Normal and Abnormal (arrhythmia) ECG signals and demonstrated that the PSM shows a better distinguish between the ECG signals for healthy and non-healthy persons versus the other methods.
Ant-Snake model for Linear Feature Extraction from Satellite Image
Authors: Amini Jalal , Mohammadnia Leila
Published: May 2018

This paper proposes an optimized mathematical model for linear feature extraction from satellite images. The model is based on a developed ant colony model combined with the snake model (called Ant-Snake model) to identify and extract the linear features like roads from satellite images. The process is started with the developed ant colony model to recognize and identify interest object and then with a snake model extract object. The developed ant model is able to establish a pheromone matrix that represents the object information at each pixel position of the image, according to the movements of a number of ants which are dispatch to move on the image. And the snake model is a parametric curve which is allowed to deform from some arbitrary initial locations from pheromone matrix toward the desired final location by minimizing an energy function. Experimental results are provided to demonstrate the superior performance of the proposed approach.
BER performance analysis of Subtractive interference cancellation (SIC) Using Rayleigh channel in DS-CDMA Receiver system
Authors: Khan Mr. Wasim , Khan Mrs Nilofar , Jain Sanmati
Published: May 2018

In this paper, we present and analyze the performance of a parallel interference cancellation (PIC) scheme for multicarrier (MC) direct-sequence code-division multiple-access (DS-CDMA) systems. In order to mitigate the multi-path interference (MPI) in the DS CDMA system. At each cancellation stage in the proposed PIC scheme, on each subcarrier, a weighted sum of the soft outputs of the other users in the current stage is cancelled from the soft output of the desired user to form the input to the next stage. At the last stage, the interference cancelled outputs from all the subcarriers are maximal ratio combined (MRC) to form the decision statistic. Parallel interference elimination is first proposed in this paper the multi-path interference are evaluated by tentative decision and known user information. Then the performance over Rayleigh fading channel are analyzed and compared to Matched filter, Decorelator, successive interference cancellation (SIC) and conventional parallel interference cancellation (PIC). It is shown that PIC performance can be improved greatly by using this method with simple structure and easy implementation.
ENVIRONMENTAL IMPLICATIONS OF CELL PHONES PENETRATION AND DISPOSAL IN KENYA
Authors: Wabwoba Dr. Franklin , Sakwa Prof. Thomas , Mbugua Dr. Samuel , Kilwake Mr. Humphrey Juma
Published: May 2018

Kenya has over six million activeÂ  mobile subscribers who may at some point want to replace orÂ Â  get rid of old mobile phones. A big number of the mobile phones were recently switched off for not being genuine without a prober mechanism being put in place for the disposal. If every affected individual or otherwise disposed off phones by throwing it away then there could a serious ecological disaster in waiting. Cell phones are hazardous materials because of electromagnetic radiation and electronic composition. They have substances such as antimony, arsenic, beryllium, cadmium, copper, lead, nickel and zinc which belong to a class of chemicals known as persistent toxins. These toxins pollute and remain in the environment for long periods. There are ill-effects of wireless and telecommunication devices on the environment are disastrous.Â  The increased use of high resolution LCD screens leads to a potentially devastating environmental challenge. There is no clear policy frame work on e-waste management with a special focus on used mobile phones in the country.Â  A proper disposal mechanism of wireless and telecommunication devices is a necessity in Kenya.
Survey on Testing of BPEL Processes
Authors: Kaur Gurpreet , Kaur Mrs. Gaganpreet
Published: May 2018

Software testing is very important phase in any development Life Cycle. The test Case generation is critical task in any type of testing. The automation of test case generation is necessary to reduce cost and effort incurred in the testing of large software. Testing of the BPEL processes is new area of research and the automation of the test cases is necessary in order to find bugs in the processes and reduce the cost of theÂ  testing businessÂ  processes .This paper focuses on the survey of the testing techniques used to test the BPEL processes.
A Rainfall Monitoring System in Thailand by Using Image Processing Technology
Authors: Deeprasertkul Prattana , Praikan Worawit
Published: May 2018

The Weather Research and Forecasting (WRF) modelling system is designed and developed to be a flexible atmospheric simulation system. It produces the images to display the three days rainfall forecasts. Therefore, the rainfall monitoring system has been created to calculate the volume of accumulated rainfall within six consecutive days (three days forecast and three days after) by applying the image processing technology with WRF images outputs. This work aims to assist in flood disaster monitoring. The outcomes of this system are the list of province names that have the highest accumulated rainfall volumes by applying the erosion of image processing filter and the intersection and buffer spatial operations to the WRF images.
Congestion Control in Computer Networks with a New Hybrid Intelligent Algorithm
Authors: Moosakhah Fatemeh , Bidgoli Amir Massoud
Published: May 2018

With invention of computer networks, transferring data from one computer to another became possible, but as the number of computers that transfer data to each other increased and common communication channel bandwidth among them in a network limited, has led to a phenomenon called congestion, so that some of data packets would be dropped and never arrive to destination. Different algorithms have been proposed for overcoming congestion. These are divided into two general groups: 1- flow based algorithms and 2- class based algorithms. In present study, using class based algorithm with optimization of its control by fuzzy logic and new Cuckoo algorithm, we increased the number of packets that reach to destination and reduced the number of dropped packets considerably during congestion. Simulation results indicate a great improvement of efficiency.
Different Approaches for Design of Android based Media Player: A Review
Authors: Sakhare Nikhil , Khade Pawan , Assudani Purshottam J.
Published: May 2018

Many users like to watch video by a mobile phone, but the media player has many limitations. With a rapid development of communication and network, multimedia based technology is adopted in media player. Different approaches shows in this paper are plug-in extension technology, multimedia based on hierarchy, media player based on file browser, media player based on FFmpeg (Fast Forward Moving Picture Expert Group), media player based on file server.
Semi-Automated Ontology building through Natural Language Processing
Authors: Choudhary Jaytrilok , Tomar Deepak Singh
Published: May 2018

Ontology is a backbone of semantic web which is used for domain knowledge representation. Ontology provides the platform for effective extraction of information. Usually, ontology is developed manually, but the manual ontology construction requires lots of efforts by domain experts. It is also time consuming and costly. Thus, an approach to build ontology in semi-automated manner has been proposed. The proposed approach extracts concept automatically from open directory Dmoz. The Stanford Parser is explored to parse natural language syntax and extract the parts of speech which are used to form the relationship among the concepts. The experimental result shows a fair degree of accuracy which may be improved in future with more sophisticated approach.
Introduction to Cloud Computing
Authors: Bansal Alka , Sethi Money , Rani Pooja , Sharma Deepika
Published: May 2018

The Cloud computing is a fastest growing area in IT industry, computing and research industry. Cloud is a pool of virtualized computer resources .A cloud can support self-redundant, self-recovering and scalable programming models that allow data to recover from any hardware/software failures. With the advent of this new technology, you can access the data online if you have an access to the internet. The intent of this paper is to have a review on cloud computing, how it works, services of cloud computing and its deployment models, benefits and challenges.
Implementation of Dynamic Threshold Method for Human Motion Detection in Video surveillance application
Authors: Gupta Ms. Pritee , Singh Dr. Yashpal
Published: May 2018

Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. This paper implemented a method to detect moving object based on background subtraction. First of all, we establish a reliable background updating model based on statistical and use a dynamic optimization threshold method to obtain a more complete moving object. The moving human bodies are accurately and reliably detected. The experiment results show that the proposed method runs quickly, accurately and fits for the real-time detection.
Reproduction of Remote Sensing Image Using Supervised Mode of Learning Using Artificial Neural Network
Authors: Kaur Amanjot , Jyoti Dr.Kiran
Published: May 2018

Remote sensing is the science of gathering information from a location that is distant from the source. Image analysis is the technique of extracting and interpreting meaningful information from a remotely sensed image. The information from an image may be extracted with the help of computer software or be visually considered. Images like such can be acquired in the form of aerial photograph, a multispectral satellite image, Light Detection and Ranging data, a radar data or a thermal image. Remote sensing is a dynamic technical field of endeavor. This paper is based on the technique involved in mapping of Geographic Information System projects.
Tandem Communication Network Model with DBA having Non Homogeneous Poisson arrivals and Feedback for First Node
Authors: Raghavendran CH V , Satish G. Naga , Sundari M.V. Rama , Varma P. Suresh
Published: May 2018

In this paper, we develop a two node tandem communication network model with dynamic bandwidth allocation and feedback for the first node. In most of the communication systems, the arrivals of packets follow Non-Homogeneous and arrival rate is time dependent. In this model, the transmission rate of each transmitter depends on the number of packets in the buffer connected it. The transmission rates at each transmitter are adjusted depending upon the content of the buffer connected to it. The packets transmitted through the first transmitter may be forwarded to the buffer connected to the second transmitter or returned back to the first buffer with certain probabilities. Using the difference-differential equations the performance measures including average number of packets in each buffer, the probability of emptiness of the network, the average waiting time in the buffer and in the network, the throughput of the transmitters, and the variance of the number of packets in the buffer are calculated. It is observed that the load dependent transmission can reduce the delays in the transmission and enhance the channel capacity.Â
An Adaptable Security Framework for Wireless Sensor Networks
Authors: El Zouka Hesham A.
Published: May 2018

The design of secureÂ and survivableÂ nodes is one of the most vital issues in designing energy-efficient protocols for wireless sensor network where the energy, memory and computational power of sensor nodes are limited. In this paper, some of the challenges facing the wireless sensor networks are discussed in attempting to prolong the battery lifetime of the nodes, and to secure the communication channel. While most of these attacks can be dealt with through cryptographic security protocols provided by key management schemes, there are always a few that manage to really cause problems. One such attack that is most common and significant in WSNs is cloning attack. In clone attack, the intruder tries to capture and compromise some nodes and inject them into several locations throughout the network in order to conduct other types of attacks. Moreover, if this attack is not detected early, then these replicated injected nodes will consume a large amount of the network resources. Several possible approaches are suggested to improve the security, authentication protocols, and key management schemes in WSNs.Â  Furthermore, utilizing the existing security protocols in wireless sensor networks has led us to propose a secure framework which incorporates security protocols in a way that minimizes the energy consumption of the sensor nodes. Our algorithm ensures data confidentiality, node authentication, and data integrity while remaining within acceptable memory, time and energy constrains.
Detection of Faulty Reading in Wireless Sensor Networks
Authors: Singh Neelam , Mehla Sandeep , Garg Matish
Published: May 2018

In this paper, the problem of determining faulty readings in a wireless sensor network without compromising detection of important events is studied. By exploring correlations between readings of sensors, a correlation network is built based on similarity between readings of two sensors. By exploring Markov Chain in the network, a mechanism for rating sensors in terms of the correlation, called Sensor Rank, is developed. In light of Sensor Rank, an efficient in-network voting algorithm, called Trust Voting, is proposed to determine faulty sensor readings. Performance studies are conducted via simulation. Experimental results show that the proposed algorithm outperforms majority voting and distance weighted voting- two state-of-the-art approaches for in-network faulty reading detection.Â
Secure Distributed Accountability Framework for Data Sharing in Cloud Environment
Authors: Lonare Vikas , Nandimath Prof. J.N.
Published: May 2018

Cloud computing is used to provide scalable services which are easily used over the internet as per the requirement. A major feature of the cloud services is that users data are remotely processed in unknown machines that users do not know or users are not operating these machines. While using these services provided by cloud computing, users fear of losing their own data. The content of data can be financial, health, personal. To resolve this problem, we use information accountability in decentralized format to keep track of the usage of the users data over the cloud. It is object oriented approach that enables enclosing our logging mechanism together with users data and apply access policies with respect to users data. We use JAR programming which provides the dynamic and traveling object functionality and to track any access to userâs data will call authentication and automated logging mechanism to the JAR files. Each access to users cloud data will be getting recorded in separate log file. To provide robust users control, distributed auditing functionality is also provided to track the usage of data. The proposed system also provides the authentication mechanism using external channels and also makes a log of user details from which the cloud data is accessed. Only data owner can retrieve the detail log of his data as per requirement. Data owner will provide the type of access to his data and based on that, authorized data user can access the data over the cloud environment.
Detection and Prevention of Gray Hole and Black Hole Attack in MANET
Authors: Raut Deepali , Hande Kapil
Published: May 2018

An Ad hoc network is the network with no fixed infrastructure. There is no central administrator so any node can come and move in and outside of the network in a dynamic manner. This makes it more dynamic and complex which makes it more prone to attacks. They can attack either active or passive. Some effects of malicious nodes are Denial of service, Routing table overflow, Impersonation, Energy consumption, Information disclosure etc. A black hole attack node attracts all packets by falsely claiming a fresh route to the destination node and absorbs them without forwarding them to destination. In this work the effect of Black hole and Gray Hole attack on DSR protocol has been considered. Simulation has been performed on the basis of performance parameters and effect has been analyzed using NS2 simulator.Â
On the Use of Special Bilinear Functions in Computing Bernoulli Polynomials
Authors: Awin Ali M.
Published: May 2018

In this paper we review, firstly, the subject of bilinear functions in connection with the convolution of two n-tuples vectors(originally named quacroms); then we summarize some of its important applications such as the calculation of the product of two polynomials and hence twoÂ  integers and their use in representing certain quantities .The main topic of this paper is the use of these special bilinear functions in computing special functions as in the case of Bernoulli polynomials throughÂ  simple recurrence relations ,this will be performed next and where the related algorithm will be described .Moreover, the first few Bernoulli polynomials are tabulated for the interval
Predicting the Fiber diameter of Spunbonding Nonwovens Via Empirical Statistical methods and Neural Network Model
Authors: Zhao Bo
Published: May 2018

In this paper, the empirical statistical and artificial neural network methods are established. We present a comparative study of two modeling methodological for predicting the fiber diameter of spunbonding nonwovens from the process parameters. The radial basis neural network, which has good approximation capability and fast convergence rate, is employed in this work, and it can provide quantitative predictions of fiber diameter. The effects of process parameters on fiber diameter are also determined by the ANN model. The results show the artificial neural network model yield more accurate and stable predictions than the statistical method, which reveals that artificial neural network technique is really an effective and viable modeling method.
The use of cloud technology in Corporate Information Systems
Authors: Talibov Rufat , Jafarov Zafar
Published: May 2018

For automation industry, Information Technology (IT) is an essential production factor, but also a major expense post. Because cloud computing promises to deliver IT services more flexibly and cost-efficiently, it for automation industry prospectively. However, given the high degree of regulation, concerns regarding security and compliance requirements arise. In this work, provide a theoretical analysis of security problems in the context of cloud computing. This analysis is complemented by the initial results of an ongoing case study concerning the practical relevance of these problems in the industry. The analysis confirms that security issues pose notable obstacles for the adoption of cloud computing in practice, but also points to appropriate countermeasures
An Intelligent model of FAN automation for smart house
Authors: Saha Subir , Imtiaz Md. Niaz , Ali Md. Akkas
Published: May 2018

Embedded system use in smart house is very common now-a-days. Electrical device like TV, Computer, Mobile, Fan e.t.c. are very common for day to day life of everyone. These sorts of device are controlled manually by man or by remote control with different controller or different switch. As we are being more digitalized day by day and getting rid of any sorts of manual devices then we are more inclined to the digital controlling system.Â  Developing countries are radically using this type of systems in a very large scale. We develop a system model that will help the developing smart house smarter. Our developed system works with the current electrical system. We developed the system that works automatically with the increase or decrease of temperature. If the temperature goes to 37Â° or more the fan runs with full speed the fan also run slower/faster when the temperature goes down/increase in every 2Â° and vice-versa. When the temperature is â‰¤ 20Â° itâ€™s automatically stops. It can also operate manually though it has a switch connected to motor.
Simulating Efficient power Wireless Sensor Network over Smart University Campus
Authors: Kubba Abbas Rushdi , Al Shimmary Mahmood K. , Al Nayar Muna M.
Published: May 2018

Attendance is one of the important factors that determine the students activity in any educational organizations. Taking attendance manually is considered as a huge task, even if, it was done using traditional methods such as barcode or smart card technologies leading to congestion and waste of time. The motivation of this papper is  to simulate the wireless sensors network of a smart university (UOT) campus using OMNeT++ inorder to enhance the total power consumption of wireless nodes using several nodes scheduiling algorthim  . The proposed system has been tested, and the results show that, the processing load of central server is decreased and the total transmission load over the wireless network also enhanced with value of 83%. Different experiments applied over distributed ZigBee wireless nodes in order to enhance network parameters .finally, the network parameters such as total power capacity and number of received packets had been improved using a linear queue node scheduling as proposed method.
Modified Ant Colony Optimization for Workflow Scheduling in Cloud Enviornment
Authors: Mohana S.J. , Saroja Dr.M. , Venkatachalam Dr.M.
Published: May 2018

Cloud computing is a type of parallel and distributed system consisting of a collection of interconnected and virtual computers. This technological trend has enabled the realization of a new computing model called cloud computing, in which shared resources, information,software & other devices are provided according to client requirement at specific time, are provided as general utilities that can be leased and released by users through the Internet in an on-demand fashion.Cloud workflow scheduling is an NP-hard optimization problem, and many meta-heuristic algorithms have been proposed to solve it.Allocation of resources to a large number of workflows in a cloud computing environment presents more difficulty than in network computational environments.A good task scheduler should adapt its scheduling strategy to the changing environment and the types of tasks. In this work, modified ant colony optimization for cloud task scheduling is proposed. The goal of modification is to enhance the performance of the basic ant colony optimization algorithm and optimize the task execution time in view of minimizing the makespan of a given tasks set.
Systolic Architecture for High Speed FIR Filter Using VLSI Technology
Authors: Wavhal Monika Dattatraya
Published: May 2018

The tremendous growth of computer and Internet technology wants the data to be processed athigh speed. Low power consumption, high throughput and optimized hardware are the most important design criteriaâ€™s for VLSI implementation. This project gives an efficient design of high speed FIR filters using systolic architecture. In this paper we have implemented 7th,8th,11th order FIR filter with 8 bit normalized input. To obtain efficient results we have selected B1 design from all the designs of systolic arrays.GF (28) multiplier and XOR adder are used for multiplication and addition in filter. Hamming window technique is used to derive the filter coefficients. The coefficients of filter are found out using Matlab. The FIR filter architecture is effectively synthesized and simulated using Xilinx ISE 8.1i in VHDL and Modelsim simulator. Maximum frequency, timing simulation delay and number of slices were used as performance metrics. The results obtained are compared with the existing results achieved for FIR filter, thus our work proves that the objective of high speed has been achieved successfully with the use of minimum number of slices.
A Review of Security Threats by The Unauthorized in The E-Learning
Authors: Saleh Mohamed Munser
Published: May 2018

Computers have become an integral part of our everyday existence. They are used to store and to send among studentsâ€™ letters and sensitive documents, materials. In today's focused world, each Organization is endeavoring to enhance its proficiency and guarantee the nature of data asset. Computer networking technologies - intranet, web - have progressed to the point where data can be put away, transmitted, and available to people accessing the resource anytime and from anywhere.Â  These advantages additionally push organizations into executing web based innovation without considering the security dangers that this involves.
Load Balanced Fuzzy Control based Adaptive Gateway Discovery for Ubiquitous Internet Access in MANET
Authors: BHARDWAJ GARGI , SHANKAR UDAI
Published: May 2018

Integrating MANETs (Mobile Ad-hoc Networks) nodes to the Internet require either a connection to the Internet or they can connect to the Internet through the Internet gateways. For the second case if a node in a MANET has discover the gateway to connect to the fixed hosts in the Internet and it can be done either by broadcasting a gateway discovery request message initiated by nodes itself or by broadcasting periodic gateway advertisement messages from the gateways. End to end packet delay and throughput are strongly dependent on the time needed to discover the gateways.Nodes in a MANET use number of hops as metric to select a path to a gateway, if all the nodes select its nearest gateway to access the Internet then there may be situations when the network performance degrades because some nodes along the path have too many packets waiting in the queue.This paper presents a novel solution to access internet through mobile nodes in ad hoc network. Here the gateway replies with an advertisement message which is broadcasted to the whole network instead of sending a unicast reply to the requesting node. The traffic load taken into account along a path in addition with minimum hop count to select an efficient gateway. The AODV routing protocol has been used for routing in the MANET domain.A new strategy of gateway discovery was investigated and impact of new metric on the gateway selection in NS-2 was observed. Simulation results show that the proposed scheme outperforms over the existing scheme with high throughput and lower end to end delay.
Simulation Tools to Analyze the Impact of Industries Installation
Authors: Adamatti Diana Francisca , Nunes Gerson Leiria , Thomassi Camila Dasso , Jugueiro Marcio , Gularte Alexander
Published: May 2018

This paper presents a simulator that analyzes the impacts of the pollutants emission of a new industry insertion on a specific region (in our studies, at Rio Grande City â€“ Brazil). This simulation calculates the atmosphere pollutants concentration and the user can chose between three pollutants dispersion models to simulate: a hypothetic model, ISC model or CALPUFF model, all of them were integrated to GIS.