bluuebunny/crossref_metadata_2025 huggingface dataset:
Parameter Estimation of Reverse Osmosis Process Model for Desalination
Authors: Panda Rames C , Sobana S
Published: May 2018

The present work pertains to modelling and identification of seawater desalination system using reverse osmosis. Initially the manipulated variable (feed pressure and recycle ratio) and the measured variables (flowrate, concentration and pH of permeate) are identified from reverse osmosis desalination system. The model of reverse osmosis was developed from the first principle approach using the mass balance equation (taking into consideration effect of concentration polarisation) from which the transfer function model was developed. The parameters of multi-input multi-output model are identified using the autoregressive exogenous linear identification technique. The states of the process model were also estimated using Kalman filter and parameters are identified by nonlinear least square (NNLS) algorithm. The plantâ€™s data of spiral wound model are given as input to all the identification methods. The results obtained from the predicted and the linear models are in good agreement with these obtained for the same plant data.
High Performance Liquid Chromatography Method to Detect Tramadol and Sildenafil in the Blood of Rats on Combination Treatment.
Authors: Fathy Wael Mohamed , S. Farag Rabie , El Nawawy Mohamed , Atiaa Hamada , Mahdy Tarek
Published: May 2018

Tramadol is one of widest abusedstreet drug inEgypt. Recently, drug abusers were taking tramadol beside sildenafil for sexual purposes.So it was important to develop a newHPLC method for the simaultineous determination of tramadol andSildenafil in the blood of rats exposed to a combination of specific dose of tramadol and sildenafil. Sample preparation involved liquidâ€“liquid extraction with methyl tertiary butyl ether (MTBE) and backextraction with hydrochloric acid.Tramadol,sildenafiland the internalstandardnalbuphine were separated by reversed phaseHPLCusing60%acetonitrileand 40% 20mMsodium phosphate bufferpH 7.5. Detection was by using UV at wavelengths 230 nm. The method was linear fortramadol (0.8â€“100ug/ml) and Sildenafil (0.3â€“100 ug/ml) with mean recoveries of 97.2% and 100.8%, respectively. Intra- and inter-day precisionswere 9.34% and 9.12% for tramadol and 11.82%, and10.43% for sildenafilat the respective limits of quantitation (0.8 and 0.3ug/ml). Accuracy fortramadol and Sildenafil ranged from 96.6% to 97.8%and 99.2% to 101.3% respectively. The method was applied to apharmacokinetic study of tramadol and sildenafil in rats.
Mobility Impact on MANET Routing Protocols In Grid Networks
Authors: Al-Quzwini Mahmoud Mir Ali , R. Khaleel Zeinab
Published: May 2018

Mobile Ad-Hoc Networks (MANETS) is a collection of wireless mobile nodes that are able to dynamically form a temporary network without any aid from fixed infrastructure or centralized administration due to no wired backbone.Ad Hoc networks are formed spontaneously and the nodes are highly mobile.Thispaper presents performance evaluations, comparisons, andanalysis for three routing protocols (AODV, DSR, and OLSR)to bring out their relative meritsundervarying network size and mobilitywith Â various speed and pause times. The simulation is carried out using OMNET++ simulator based on the quantitative basic parameters like throughput, Packet transmission Ratio (PTR),packet transmission time delay and protocol overhead .The Â nodes are distributed randomly in a grid network topology and mobile nodes moving using Random Waypoint mobility models. The results demonstrate that, undervarious node speeds and pause timesfor different network size, AODVoutperforms DSR and OLSR protocols, with respect to networkthroughput (by 0.9% and 4.4%, respectively). For protocoloverhead,DSR has lower overhead than both AODV and OLSR protocols (by 13.4% and 65.5%, respectively). In contrast, thepacket transmission time delay when using OLSR is shorter than whenusing both AODV (by 81.7%) and DSR (by 76.7%).Â
Binary Quantum Communication using Squeezed Light: Numerical, Simulation, and Experimental Resuts
Authors: Fyath Raad Sami , Alaskary Ismael Shanan Desher
Published: May 2018

In this paper, the squeezed quantum state is generated using an optical parametric oscillator via a spontaneous parametric down conversion technique to investigate squeezed states with quantum noise in one quadrature below the standard quantum limit at the expense of the other. The setup involves four main parts: generation of Nd-YAG second harmonic via a ring resonator, squeezed cavity with a nonlinear crystal inside to generate the squeezed state, Pound-Drever-Hall technique to stabilize the laser in the squeezed cavity and balanced homodyne receiver with high efficiency to detect the squeezed state. A comparison in error probability is addressed between the quantum coherent classical and the quantum squeezed non-classical state in the presence of thermal noise and the dissipation. It is found that with extremely low number of photons, the squeezed state is robust against channel noise.
Humanoid Robot Learning How to track and grip
Authors: Mostafa Rasha F. A. , M. Saad El Sayed , H. Awadalla Medhat , Eldin I. Ali Hosam
Published: May 2018

Interaction with its environment is a key requisite for designing a humanoid robot especially to have the ability to recognize and manipulate unknown objects and it is crucial to successfully work in natural environments. However visual object recognition still remains a challenging problem. To get the robot capable of identifying the geometric shapes and colors of the objects, this paper proposes new approach using neuro Zernike moments. Furthermore, the paper proposes a natural language understanding system, where the robot will be able to effectively communicate with human through a dialogue developed in Arabic language. The developed dialogue and a dynamic object model are used for learning semantic categories, object descriptions, and new words acquisition for object learning. In this paper, a robot will be developed to interact with the users performing some specified actions. Moreover, integration between the proposed vision and natural language understanding systems has been presented. Finally, a hardware circuit is designed and Q-learning technique is presented assisting the robot to track and grip objects. Intensive experiments have been conducted indoor to address the validity of the complete system. Qualitative comparison among different techniques is accomplished. The achieved results show that the overall system performance of the proposed system outperforms in terms of accuracy and response time.
The Optimal q-Homotopy Analysis Method (Oq-HAM)
Authors: Huseen Shaheed N , R.Grace Said , A. El-Tawil Magdy
Published: May 2018

In this paper, an optimal q-homotopy analysis method (Oq-HAM) is proposed. We present some examples to show the reliability and efficiency of the method. It is compared with the one-step optimal homotopy analysis method. The results reveal that the Oq-HAM has more accuracy to determine the convergence-control parameter than the one-step optimal HAM.
Topology Controlled Energy Proficient Protocol for Wireless Sensor Networks
Authors: Nehra Vibha , Sharma Ajay K.
Published: May 2018

Random deployment in Wireless sensor networks lead to spatial node redundancy in close knit sensor networks. In this paper, an improved energy proficient PEGASIS based protocol (PEGASIS-TC) has been proposed. PEGASIS-TC exploits this spatial node redundancy by finding optimal subset of nodes that guarantee connectivity and turns off the remaining nodes based on CTR (Critical transmission range) to conserve energy which can be used in later stages to extend the network lifetime. The simulation results obtained show that PEGASIS-TC gives an increase in network lifetime as compared to PEGASIS.
Implementatioin of Enhanced Transitional Communication Interface Between Mediums Using Adaptive Techniques
Authors: Chavakula N L Sujatha , Pravin A. , Durga S. Kanaka , Mallikarjuna G.
Published: May 2018

Â Implementation of an innovative and interactive device which is having the capability of changing its own properties with dynamic nature is presented in this project. This project acts as mediator between mediums. Data through water is a challenging task in now a day. Due to random change of properties like water flow, density; framed data energy may changes. So, modulation schemes have to be changed dynamically depends up on flow and density of water. At the receiver side GSM technology is used to re-send the data. Here GSM is used as interface device between water and air.
Mental Disorder Recognition Using Face Based Image Retrieval Technique In The Compressed Domain
Authors: Irianto Suhendro Yusuf , Lestari Sri , Fitria Fitria
Published: May 2018

In this paper we explore content based image retrieval to identify mental disorder based on face expression the compressed domain. The work was conducted by constructing an application or tool which automatically detect and recognize someone experienced mental disorder based on face recognition. In this research we used more than 50,000 face images which consist of normal face expression with smile, sad, laugh,and angry expression. We wrote two face detection and face recognition algorithms to decide whether someone suffered or not. This work was carried out to built an automatic tool of face detection and recognition very fast and accurately. Face detection done to separate between face area and non face area in order focus on face recognition. In this work we used face image with normal pose without obstacles and facing toward with 90 degree. In the experiments we applied more than 150 queries which 50 images from each category of total of two categories mental disorder. Our algorithms demonstrate good effectives of image retrieval in term of Precision and recall.
Design and Implementation of Hybrid Algorithm for e-news Classification.
Authors: Kaur Harneet , Jyoti Kiran
Published: May 2018

Data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. As the use of internet is increasing day by day and with the advancement of internet news also publish online. So to handle this bulk amount of news various data mining techniques for classification had been used. In this paper we are using an intelligent system based on Hybrid algorithm (HMM, SVM and CART) for e-news classification. An intelligent system is designed which will extract the online news and then will find out category and subcategory wise news. System involves four main stages: a) Keyword Extraction b) Implementation of Hybrid Algorithm (HMM, SVM and CART). Data have been collected for experimentation from online newspapers like The Hindu, Hindustan Times and Times of India. The experimental results are based on the news categories and sub categories such as Entertainment: Bollywood 100% and Hollywood 90%, Sports: Cricket 90%, Football 90% and Hockey 78%, Matrimonial :Hindu 100% and Muslim 80%. In this paper we also compare the result of Hybrid algorithm (HMM, SVM and CART) with individual HMM and SVM Algorithm and conclude that Hybrid algorithm (HMM, SVM and CART) gave better result than that of what HMM and SVM individually gave.
Towards Standardized Conformance Test Suite for ISO Transport Layer Protocol
Authors: El-Gendy Hazem Mostafa , Talkhan Ihab ElSayed
Published: May 2018

In this paper, we develop a sound Conformance Test Suite for the Transport Layer Protocol Internationally standardized by both ISO and IEC.Â  This is to test the implementations of the protocol, promote and facilitate standardized test suites, and promote the use of formal methods.Â  We use formal methods for the generation of testing sequences to make the results sound.Â  The protocol is formally specified in Lotos; the ISO/IEC Formal Description Technique for computer/communications protocols and distributed systems.
A Three-stage Methodology for Design Evaluation in Product Development
Authors: Turan Faiz Mohd , Omar Badrul
Published: May 2018

In order to remain competitive in todayâ€Ÿs technologically driven world, the faster and more efficient development of innovative products has become the focus for manufacturing companies. In tandem with this, design evaluation plays a critical role in the early phases of product development, because it has significant impact on the downstream development processes as well as on the success of the product being developed. Owing to the pressure of primary factors, such as customer expectations, technical specifications and cost and time constraints, designers have to adopt various techniques for evaluating design alternatives in order to make the right decisions as early as possible. In this work, a novel three-stage methodology for design evaluation has been developed. The preliminary stage screens all the criteria from different viewpoints using House of Quality (HoQ). The second stage uses a Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) to obtain the alternatives weighting and the final stage verifies the ranking of the alternatives by a Rough-Grey Analysis. This method will enable designers to make better-informed decisions before finalising their choice. A case example from industry are presented to demonstrate the efficacy of the proposed methodology. The result of the example shows that the integration of Fuzzy-AHP with HoQ and Rough-Grey Analysis provides a novel alternative to existing methods of design evaluation.
ARTFSC Average Relative Term Frequency Sentiment Classification
Authors: Ghag Kranti Vithal , Shah Ketan
Published: May 2018

Sentiment Classification refers to the computational techniques for classifying whether the sentiments of text are positive or negative. Statistical Techniques based on Term Presence and Term Frequency, using Support Vector Machine are popularly used for Sentiment Classification. This paper presents an approach for classifying a term as positive or negative based on its average frequency in positively tagged documents in comparison with negatively tagged documents. Our approach is based on term weighting techniques that are used for information retrieval and sentiment classification. It differs significantly from these traditional methods due to our model of logarithmic differential average term distribution for sentiment classification. Terms with nearly equal distribution in positively tagged documents and negatively tagged documents were classified as a Senti-stop-word and discarded. The proportional distribution of a term to be classified as Senti-stop-word was determined experimentally. Our model was evaluated by comparing it with state of art techniques for sentiment classification using the movie review dataset.
Toward Mobile Telecommunication Recommendation System through Intelligent Customers Categorization
Authors: Ghnemat Rawan , Jaser Edward
Published: May 2018

Now a day, usage of mobile devices is becoming indispensable. This is evident with current mobile penetration rates reaching 100% and even more in some countries. Customers across the world are enjoying competitive prices due to high competition among telecommunication companies. As a result of this, it is mandatory for mobile companies to provide high quality services to their customers to retain them. One aspect which will maximize customersâ€™ trust and lead to high retention rate is to offer them a suitable plan that matches their usage.Â  Mobile customer usage categorization is therefore an essential task to develop intelligent business plans. Personalized recommendation system is needed to dynamically adapt the different customer behaviours with the most appropriate plan for them. In this paper we propose a new automatic approach for costumersâ€™ categorization. This will be the basis for the recommendation system. The proposed method is built using Fuzzy rule and aims at usage behaviour prediction. The rules was extracted from real customer data obtained from a leading provider. Comparison study with other categorization methods has been conducted and showed superior result and demonstrated the potential advantage of the proposed fuzzy based method.
Comparative Analysis Domino Logic Based Techniques For VLSI Circuit
Authors: Kamde Shilpa , Shinde Jitesh , Badjate Sanjay , Hajare Pratik
Published: May 2018

Domino logic is a CMOS-based evolution of the dynamic logicÂ  techniques Â basedÂ  onÂ  eitherÂ  PMOSÂ  orÂ  NMOS transistors. Domino logic technique is widely used in modern digital VLSI circuit. Dynamic logic is twice as fast as static CMOS logic because it uses only N fast transistors. The Dynamic (Domino) logic circuit are often favored in high performance designs because of the high speed and low area advantage.Four different dynamic circuit techniques including Basic domino logic circuit are compared in this paper for low power consumption and speed of domino logic circuits. For digital circuit simulation used BSIM(Berkeley Short Channel IGFET ) Model because it control leakage current.
UNDERSTANDING THE DEVELOPER PARTICIPATION IN BUG FIX PROCESS
Authors: Kumari Madhu , Sharma Meera , Yadav Nikita
Published: May 2018

Prediction of the bug fix time in open source softwares is a challenging job. A software bug consists of many attributes that define the characteristics of the bug. Some of the attributes get filled at the time of reporting and some areÂ  at the time of bug fixing. In this paper, 836 bug reports of two products namely Thunderbird and Webtools of Mozilla open source project have been considered. InÂ  bug report, we see that there is no linear relationship among the bug attributes namely bug fix time, developers, cc count and severity. This paper has analyzed the interdependence among these attributes through graphical representation.The results conclude that :Case 1. 73% of bugs reported for Webtools are fixed by 17% developers and 61% of bugs are fixed by 14% developers for Thundebird.Case 2. We tried to find a relationship between the time taken by a developer in fixing a bug and the corresponding developer. We also observed that there is a significant variation in bug fixing process, bugs may take 1 day to 4 years in fixing.Case 3. There is no linear relationship between cc count i.e. manpower involved in bug fixing process and bug fix time.Case 4. Maximum number of developers are involved in fixing bugs for major severity class.
COMPARATIVE STUDY AND ANALYSIS OF BER OF CDMA FOR DIFFERENT MODULATION SCHEME
Authors: Kumar Arun , Gupta Dr. Manisha
Published: May 2018

With the increasing demand in wireless communication, it has become necessary to give better and efficient service to users by using better technique. This paper propose and analyse the bit error rate of CDMA, for different modulation schemes such as BPSK, QPSK and QAM. By Choosing a reliable modulation scheme and better filtration Technique the enhancement of the performance can be obtained in transmitter and receiver of CDMA system. Simulated result is shown to analyse and compare the performance of these systems by using additive white Gaussian noise channel (AWGN).Finally the different modulation schemes is compared on the basis of BER and best modulation scheme is determined. Â From analysis of three modulation techniques, the system could use more appropriate modulation technique to suit the channel quality, thus we can deliver the optimum and efficient data rate to mobile terminal.
Economic Production Inventory model with the associated costs of internet advertising to acquire customers residing worldwide
Authors: Prakash Ritha , Martin Nivetha
Published: May 2018

In recent times, we are witnessing the technological revolution which provides access to tremendous changes in all the fields including the industrial sectors. The notable benefit of the modern technology is quick accomplishment of complex tasks within a short span of time, which has motivated the manufacturers to imbibe novelty techniques in the production process to enhance the quality of the product so as to retain its market position amidst the competitors. As globalization has gained more concern, the manufacturers employ internet advertising strategy to elevate the product to international level and to propagate the attributes of the products to the customers residing worldwide. In this paper an EPQ inventory model is developed in which the associated costs of technology, acquisition of local and international customers via internet advertising costs are included, a numerical example is also presented to validate the model.
Vehicular Traffic Monitoring Using VANET
Authors: Sharma Ms Shreya , Rohankar Ms Rupali
Published: May 2018

During last few years, continuous progresses in wireless communication have open new research fields in computer network. VANET proposes communication between vehicles by wireless means has a large potential to improve safety and travel comfort of passenger. Moreover automobile traffic safety is a major issue in developed area in which there may be misbehaving of traffic safety due to lack of controls or misguiding from the attacker end. Due to this, there is high amount of wastage of time and resources travelling through traffic congestion and misrouting of the vehicles by external source. For the sake of this, we propose an algorithm for VANET in which we show the effect of and further remove it by actual path routing and communication using distance algorithm to further improve the traffic pattern.Â
An Efficient Intelligent System for Data Communication Using LIFI Technology
Authors: Rathee Dr. Naveen , Nagpal Shreyaa , Malik Abhinav , Khandelwal Charvi
Published: May 2018

The congestion of radio spectrum has led to the development of new wireless technology, Light Fidelity also referred as LIFI, which has a much broader spectrum. LIFI is a technology based on visible light communication (VLC) that makes use of LEDs as a source for data communication. The intensity of LED varies faster than a human eye can follow and helps to transmit the data. Our research deals with the usage of this technology for the future good of the world. A simple experiment to show the transmission of alphanumeric data using visible light communication is carried out. A Led light is the only source to transmit the data from the transmitter end to the receiverâ€™s. A keyboard is being employed as an input for the alphanumeric data and an LCD to display the inputted characters.
Performance Analysis of Wireless Communication Systems Traffic using Erlang Models: A Case Study of Yankari Game Reserve in Nigeria
Authors: Gadam Mohammed Aliyu , Maryam A.M , Kevin E , Ibrahim A.Y
Published: May 2018

In any developing nation such as Nigeria, the level of her telecommunication and ICT development is an issue that requires adequate planning especially when consideration is given to the amount of traffic and the available bandwidth in the system. Tourism is one of the areas that the Nigerian Government is considering as a source of internally generated revenue and therefore, infrastructure such as traffic free wireless communication system and fast internet accesss need to be provided to woo tourists and make them feel at home. This cannot be achieved unless the traffic is modeled and its analyzed .Yankari Game Reserve is one of the tourist attraction located in Bauchi state, north-eastern Nigeria. Wireless Communication and internet traffic is analysed in this paper using erlang models to improve the systems quality of service. It is shown that a multi-server system is the most appropriate model to reduce amount of delay in a peak period. It is also proven that delay time is reduced significantly when the number of users increases in a multi-server system.
Validation of DeLone and McLean model to analyze decision support systems success in the banking sector of Oman
Authors: Manchanda Anu , Mukherjee Dr. Saurabh
Published: May 2018

The main objective of this paper is to investigate empirically the validity of DeLone and McLean model in measuring the decision support system success in the banking sector of Oman. Data was collected from decision support system users working in the banks of Oman. Data analysis was done using Structural Equation Modelling (SEM) through smartPLS 2.0. The results of the study showed that system quality and information quality has no influence on system use, system quality and information quality has influence on user satisfaction, system use had no influence on user satisfaction, user satisfaction has no influence on system use, system use had no influence on individual impact, individual impact has no influence on system use, user satisfaction has influence on individual impact and individual impact has influence on user satisfaction.
Finite-Difference Time-Domain (FDTD) Simulation of Novel Terahertz Structures
Authors: Hussein Yasser , Spencer James E. , El-Ghazaly Samir
Published: May 2018

Previous work on compact, variable, efficient, high brightness radiation sources is extended by calculating the radiated power and angular distributions for different configurations and drive sources. Figures of merit are defined in terms of efficiencies or effective impedances such as the radiation coupling impedance Zr .Characteristics of representative cases are discussed in terms of a few basic parameters. Conditions for interference are discussed and demonstrated. Finally, we discuss some further possibilities together with various impediments to realizing such devices. The differences between bound and free electrons are studied from the standpoint of the frequencies that are practicably achievable. With the ansatz that the transport physics with Maxwellâ€™s Equations are valid but modified by the material properties, a number of analogs exist between these two basic sources of radiation. In many cases, the differences are between macro and micro implementationsÂ e.g. between klystrons and klystrinosÂ (micro or nano)Â Â or solid state and semiconductor lasers or rare-earth doped transistors. Cases with no apparent analogs are ones due to unique quantum effects e.g. radiation at 3kTc in superconductors. This is well above magnetic resonance imaging MRI around 0.4 ï­eV but well below room temperature at 25 meV. Bound and free possibilities for planar, micro undulators over this range are studied using FDTD techniques. To our knowledge, there have been no implementations of either possibility.
Study and Comparison of four Agent-Based Simulation Tools: Repast, SeSAm, Netlogo and GAMA
Authors: Mefteh Wafa
Published: May 2018

Several simulation tools have been proposed in the literature and many surveys have been realized on this. The objective of this paper is not to give a survey but to compare four principal tools which are Repast, SeSAm, NetLogo and Gama according to some evaluation criteria that I consider important when designing Adaptive Multi-Agent Systems.
Multilingual Text to Speech in embedded systems using RC8660
Authors: Nazemi Azadeh , Murray Iain , McMeekin David A.
Published: May 2018

Most multilingual Test to Speech (TTS) systems are software applications which allow people with visual impairments or reading disabilities to listen the written material using computer. This paper describes an approach to make a multilingual TTS and embed it into the portable, low cost, and standalone embedded system to access and read electronic documents particularly in developing countries. There are several TTS such as Doubletalk, DECtalk, and Dolphin available in market, also there are some products using TTS such as Talking OCR, Bill Reader and Intel Reader, which are not affordable or multilingual. To design this system OMAP3530 an application processor board is considered as the hardware platform to process the language-independent parts of the application and RC8660 used as an integrated TTS processor.Â
3-D from 2-D Using Warping Transformations .
Authors: Ashabrawy M. A. , Elbehadi E. E.
Published: May 2018

Shown in this paper are methods on how to find the third dimension of a single image or from the two views of the image taking in a different angle using the method more accurate and faster to get to the third dimension in the following cases: One image of the same scene. Two views of the same scene from two different perspectives. Pictures of parts of the same scene. Set of pictures for different views of the work of the subject Panorama. This method is known Image Warping, which falls below a set of transfers such as (Affine - Bilinear - Projective - Mosaic â€“ Similarity transformation) was compared to the work of transfers between the previous and this will be applied to more pictures. The idea is based on building code software is built on the programming language Visual C + + with the library for drawing an OpenGL program Matlab, which way can build a model of the following conversions, which fall under the so-called image warping of the conversion linear Bilinear Mapping and conversion Affine Mapping and conversion imagery Projective Mapping . shown in this paper are methods on how to correct camera exposure changes and how to blend the stitching line between the images. We will show panorama photos generated from both still image.
COMPRO-MOTO: An efficient approach for identifying compromised nodes in wireless sensor networks.
Authors: S.N Vinayaka , Dakshayini M
Published: May 2018

Wireless sensor networks (WSNs) are exposed and being attacked by opponents as they are randomly deployed in open environments. Opponents can extract confidential information like secret keys by inserting their own nodes as compromised nodes and uses them to introduce various security attacks. So detection of such nodes is being the major issue to be addressed. In this paper we present Compro-Moto â€“ as an efficient intrusion detection system to detect compromised nodes in WSNs. Simulation results clearly shows the benefits of Compro-Moto :(i). It is not sensitive to any kind of security attacks (ii).It endows detection range up to 99.99%. (iii)It endows false detection rate less than 1%in WSNs.(iv).It endows less total overhead and less packet loss rate. These benefits are the Â achievement of Compro-Moto system that requires little memory and less communication overhead and also it can scale up to millions of nodes.
The Fuzzy Control for Rotor Flux Orientation of the double-fed asynchronous generator Drive
Authors: TAOUSSI Mohammed , KARIM Mohammed , BOSSOUFI Badre , LAGRIOUI Ahmed , MAHFOUD Mohammed EL
Published: May 2018

In This paper we present a new contribution of fuzzy logic for electrical machine control. We are interested to the control direction of the rotor flux applied to Doubly-Fed Induction Generators (DFIG)At first, the principle of operation and modeling are applied to the DFIG is developed and introduced. Thereafter, the Fuzzy approach is applied to the FOC control, to improve the performance of the machines.Finally, the simulation results of the two commands are validates on the environment Matlab / Simulink followed by a detailed analysis.
Performance Analysis of Random Forests with SVM and KNN in Classification of Ancient Kannada Scripts
Authors: A Soumya , Kumar G Hemantha
Published: May 2018

Ancient inscriptions which reveal the details of yester years are difficult to interpret by modern readers and efforts are being made in automating such tasks of deciphering historical records. The Kannada script which is used to write in Kannada language has gradually evolved from the ancient script known as Brahmi. Kannada script has traveled a long way from the earlier Brahmi model and has undergone a number of changes during the regimes of Ashoka, Shatavahana, Kadamba, Ganga, Rashtrakuta, Chalukya, Hoysala , Vijayanagara andÂ  Wodeyar dynasties.Â  In this paper we discuss on Classification of ancient Kannada Scripts during three different periods Ashoka, Kadamba and Satavahana. A reconstructed grayscale ancient Kannada epigraph image is input, which is binarized using Otsuâ€™s method. Normalized Central and Zernike Moment features are extracted for classification. The RF Classifier designed is tested on handwritten base characters belonging to Ashoka, Satavahana and Kadamba dynasties. For each dynasty, 105 handwritten samples with 35 base characters are considered. The classification rates for the training and testing base characters from Satavahana period, for varying number of trees and thresholds of RF are determined. Finally a Comparative analysis of the Classification rates is made for the designed RF with SVM and k-NN classifiers, for the ancient Kannada base characters from 3 different eras Ashoka, Kadamba and Satavahana period.
DATA MINING IN EDUCATION FOR STUDENTS ACADEMIC PERFORMANCE: A SYSTEMATIC REVIEW
Authors: Jindal Anurag , Singh Er. Williamjeet
Published: May 2018

Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing research community. Higher education, throughout the world is delivered through universities, colleges affiliated to various universities and some other recognized academic institutes. The main objective of higher education institutes is to provide quality education to its students. Indian education sector has a lot of data that can produce valuable information which can be used to increase the quality of education. Good prediction of studentâ€™s success in higher learning institution is one way to reach the higher level of quality in higher education system. In this paper we analyzed the potential use of data mining in education section and survey the most relevant work in this area. Data Mining can be used for dropout students, studentâ€™s academic performance, teacherâ€™s performance and studentâ€™s complaints. As we know large amount of data is stored in educational database, so in order to get required data and to find the hidden relationship, different data mining techniques are developed & used. Various algorithms and data mining techniques like Classification, Clustering, Regression, Artificial Intelligence, Neural Networks, Association Rules, Decision Trees (CART and CHIAD), Genetic algorithms, Nearest Neighbor method etc. are used for knowledge discovery from databases and helps in prediction of students academic performance. In future work we can apply different data mining techniques on an expanded data set with more distinct attributes to get more accurate results.
Memory Transfer Language: an absolute learner-driven visualizer
Authors: Mselle Leonard J.
Published: May 2018

This article discusses visualization as a technique to enhance programming comprehension. It points out that current animation approach, being machine-based technique, is inadequate due to the fact that machine-based animation tools are difficult to integrate in the current teaching materials. In addition, machine-centered animators do not guarantee the learner with absolute engagement. In this paper, MTL, as a visualization technique which is absolutely learner-driven is demonstrated and discussed. It is shown that MTL can be integrated with current materials for teaching and learning programming and it can guarantee absolute authority to the learner.
A Self-Orgnizing Model for Peer-to-Peer Systems using Trust Relations
Authors: Mahajan Sourabh S. , Pathan S.K.
Published: May 2018

Peer-to-Peer systems enables the interactions of peers to accomplish tasks. Attacks of peers with malicious can be reduced by establishing trust relationship among peers. In this paper we presents algorithms which helps a peer to reason about trustworthiness of other peers based on interactions in the past and recommendations. Local information is used to create trust network of peers and does not need to deal with global information. Trustworthiness of peers in providing services can be describedby Service metric and recommendation metric. Parameters considered for evaluating interactions and recommendations are Recentness, Importance and Peer Satisfaction. Trust relationships helps a good peer to isolate malicious peers.
A Grammar for Representing Uniform Local Binary Patterns (ULBP)
Authors: Vijaya Kumar Vakulabharanam , Murthy. G Vishnu , Obulesu A.
Published: May 2018

One of the recently invented theoretically simple and efficient operators that is playing a significant role in image processing, pattern recognition and other domains is the Local Binary Pattern (LBP). LBP measures the local texture features on a given neighbourhood efficiently. The Uniform LBP (ULBP) that is derived on LBP is treated as the fundamental unit of the textures. There 58 ULBPs out of 256 LBPs on a 3 x3 neighbourhood. Further the textures on average contain 75% to 90% of the patterns as ULBP only. One disadvantage is representing all 58 ULBS. To say whether a given LBP is uniform or not one should march the given LBP with 58 Patterns. Very few research scholars derived grammar to represent patterns that arises from 2-D images. The present paper addresses the above problem by generating a simple array grammar that represents all ULBP on a 3 x 3 neighbourhood or with 8 neighbours.The present paper tests the proposed Array Grammar model of ULBP (AG-ULBP) with various LBP patterns to prove its accuracy.
A two level approach to discretize cosmetic data using Rough set theory
Authors: Prasuna P.M. , Ramadevi Dr.Y. , Vinay Babu Dr. A.
Published: May 2018

Discrete values play a very prominent role in extracting knowledge. Most of the machines learning algorithms use discrete values. It is also observed that the rules discovered through discrete values are shorter and precise. The predictive accuracy is more when discrete values are used. Cosmetic industry extracts the features from the face images of the customers to analyze their facial skin problems. These values are continuous in nature. A predictive model with high accuracy is required to determine the cosmetic problems of the customers and suggest suitable cosmetic. Existing traditional discretization techniques are not sufficient for deriving discretized data from continuous valued cosmetic data as it has to balance the loss of information intrinsic to process adapted and generating a reasonable number of cut points, that is, a reasonable search space. This paper proposes a two level discretization method which is a combination of traditional k means clustering technique and rough set theory to discretize continuous features of cosmetic data.
THEORETICAL APPROACH TO ONLINE MARKETING
Authors: Durmaz Assist. Prof. Yakup , Ä°lhan Ahmet , Ince Ercan
Published: May 2018

The Internet is one of the first things leading technological developments. It provides easy accessibility to the products. These kind of developments led businesses to use the Internet intensely in marketing. Thus, online marketing has started to develop and become one of the direct marketing techniques. Online marketing provides both businesses and customers with a great deal of easiness. Companies present customers with products, services and information in an untraditional way thanks to online marketing. Moreover, customers have had the advantage of following the developments and changes, also the access to the products and services easily. Other than the power of information access of the Internet, commerce network and distribution have appeared to be very efficient. In this regard, online marketing have been considered to be one of the tools of modern marketing in terms of reaching customers.Â
A Modified Advanced Encryption Standard Algorithm for Image Encryption
Authors: Tahir Ari Shawkat
Published: May 2018

Cryptography algorithms are becoming more necessary to ensure secure data transmission, which can be used in several applications. Increasing use of images in industrial process therefore it is essential to protect the confidential image data from unauthorized access. Advanced Encryption Standard (AES) is a well- known block cipher that has many benefits in data encryption process.Â  In this paper, proposed some modification to the Advanced Encryption Standard (M-AES) to increase and reaching high level security and enhance image encryption. The modification is done by modifying the ShiftRow Transformation. Detailed results in terms of security analysis and implementation are given. Comparing the proposed algorithm with the original AES encryption algorithm shows that the proposed M-AES has more security from the cryptographic view and gives better result of security against statistical attack.
Security of Web Services: Methods and Contrivance
Authors: Ivanova Malinka
Published: May 2018

The increasing use of web services, the proved advantages of service-oriented architectures and continuously appliedattacks to them require utilization of given secure mechanisms that ensure the security at different levels. The aim of thepaper is to summarize the existing threats and attacks to web applications and web services. Contemporary securitystandards and good practices describing methods and contrivance for deciding security problems are explored too toreveal the present state in the field.
An Open Source Modelling Software for Scientific and Engineering Applications
Authors: Onuoha Okechi , Inyiama Prof. H.C. , Onochojah U. , Okezie Dr. C.C. , Ezema L. , Abuh M.U.
Published: May 2018

Modelling commonly entails the establishment of relationship(s) between data variables. One common way of doing this, after the data to be modelled has been collected, is to plot a scatter diagram of the data samples collected from the field and then proceed to draw the graph and then derive the model from it. This method of curve fitting (by plotting the scatter diagram) which is done by eye is approximate only and depends upon the judgment of the operator and quite considerable variations can result from various individualsâ€™ efforts to draw the â€œbest curve / straight line.â€ This led to the development of the least square method of curve fitting and subsequently, software like MATLAB which help automate the process. This project work takes the automation process further by developing this software that seamlessly models a system and computes the level of agreement of the model developed using the data obtained from the field without any programming effort from the user.
An Ameliorated Methodology for Ranking the Tuple
Authors: Chikkamannur Ajeet A , Handigund Shivanand M
Published: May 2018

Many users searching databases through the web in various domains like vehicles, real estate, etc. One of the predicament, we observed in this task is ranking the results retrieved from a database for a user query. The contemporary methods are addressing this problem by sorting the database values. A common line in these methods is that ranking is done in a user and query-independent manner i.e. there is no correspondence between different users queries. We proposed a query and user-dependent approach for ranking query results in relational databases, which is articulating the opinion expressed in query by different users. The designed and developed methodology shows that the ranking of the data in database is constituted depending on the various user opinions i.e. access of tuple through users query expression. The design is based on counting the access of database tuple by users query(ies)
Cultural Differences and Common Regional Challenges for e-Commerce in Asia-Pacific Region
Authors: Memeti Agon
Published: May 2018

Taking in consideration that the rapid growth using online services last few years becomes more necessary all over the world and on the other side since the internet revolution, it seemed important and useful for all online both sellers and buyers the online shopping.Â  This review starts will cultural and regional challenges in Asia-Pacific Region by examining issues, which are relevant to sites, targeted to China and Chinese-speaking audiences, design principles as well as examination of the differences between the cultures of Asia-Pacific; continuing will issues and influences of e-commerce and online shopping in India for the last few years. Finally, how CRM is becoming the next goal of e-commerce for both smaller and larger organizations is discussing by which it will satisfy customers and increase company sales.
Expert System Approach for CAD/CAM Integration & Optimization based on International Standard (STEP) and Computer based Concurrent Engineering
Authors: Amalnik Morteza Sadegh , Moayyedi M.K , Mirzaei M.
Published: May 2018

This paper addresses the concept of the Expert system approach for CASD/CAM integration and optimization of product design and manufacturing in computer base concurrent engineering environment. The Expert system links with design and manufacturing databases. The design specification is acquired through a feature based approach. The Expert system links with material, tools, CNC machine center data and databases. For each design feature, the expert system provides information needed for design and manufacturing optimization. The expert system can be used as an advisory system for designers and manufacturing engineers using STEP (standard for exchange of product data) AP224 standard. and also for new CNC machine center operators. A designer uses proengineers software and feature base library and design a part. Design data stored in data base according to international standard STEP format. All suppliers can used the latest design data through computer network system and STEP design data. The result of table 1 shows that the expert system estimates correctly machining cycle time and cost and penetration rate. In practical, estimation of machining time and cost, feeds and all other parameters are difficult to obtain. In contrast the expert system can provide this estimation usually in less than 20 seconds.
Knowledge based System for Improving Design and Manufacturing Processes for Electrochemical MachiningIn Computer based Concurrent Engineering
Authors: Amalnik Morteza Sadegh , Khoshgoftarmanesh M.H , Mirzaei M
Published: May 2018

The traditional design of product, the preceding constraints and limitations are considered sequentially. In order to reduce the product development cycle time and cost and increase quality and productivity, concurrent (simultaneous) design of product and process has been introduced. Electrochemical machining (ECM) is used to tackle exotic alloys of intricate shape and produce complex parts in hard metals with high surface quality and integrity. This paper addresses the concept of the knowledge base system (KBS) for optimization of product design and electrochemical machining process in computer integrated manufacturing (CIM) and computer based concurrent engineering environment. The KBS links with design and manufacturing data bases. The design specification is acquired through a feature based approach. The KBS links with material data base which holds attributes of more than 60 materials. It also links with tool data base which hold attributes of 7 tools material and also 3 type of electrolytes. KBS is also links with machine data base which hold attributes of different ECM machines. For each design feature, KBS provides information needed for design and manufacturing optimization. The KBS can be used as an advisory system for designers and manufacturing engineers. It can be used as a teaching program for designers and manufacturing engineers and new ECM operators in computer based concurrent engineering environment.