bluuebunny/crossref_metadata_2025 huggingface dataset:
A NEW SIMPLIFIED APPROACH TO FIND THE EQUIVALENT RESISTANCE OF ANY COMPLEX EQUAL RESISTIVE NETWORK
Authors: Aneja Karan , Kumar Vipin
Published: May 2018

As we are familiar with the star-delta transformation to determining the equivalent resistance [4] between any two terminals of a complex network and to find the overall current of a closed circuit, but sometimes circuit become too complex such that it consumes a lots of time while solving the network to find the equivalent resistance between two known terminals. So, here we have developed a new simplified approach for the solution to find the equivalent resistance between the desired terminals for equal resistance network and to find the overall current in a closed circuit.
SHORT TERM WIND SPEED PREDICTION USING A NEW HYBRID MODEL WITH PASSIVE CONGREGATION
Authors: Aboueldahab Tarek Abdelwahab
Published: May 2018

Short term wind speed predicting is essential in using wind energy as an alternative source of electrical power generation, thus the improvement of wind speed prediction accuracy becomes an important issue. Although many prediction models have been developed during the last few years, they suffer a poor performance because their dependency on performing only the local search without the capability in performing the global search in the whole search space. To overcome this problem, we propose a new passive congregation term to the standard hybrid Genetic Algorithm / Particle Swarm Optimization (GA/ PSO) model in training Neural Network (NN) wind speed predictor. This term is based on the mutual cooperation between different particles in determining new positions rather than their selfish thinking. Experiment study shows significantly the influence of the passive congregationÂ Â  term in improving the performance accuracy compared to the standard model.
OPTIMIZATION OF CHANNEL ALLOCATION ALGORITHM FOR HOT SPOT CELLS IN WIRELESS NETWORKS
Authors: Saraswat Kriti , Shrivastava Ajit Kumar , Saxena Amit
Published: May 2018

Dense deployment of cellular networks is leading to scarcity of communication bandwidth or what we call as channel. If compared to its wired counterparts, wireless cellular network have limited number of channels available, which gives rise to problem of efficient channel allocation. Here, in this piece of work, the main objective is to put an effort to improve existing channel allocation scheme. In earlier existing hybrid allocation scheme, the base station notifies about the hot-spots to the Mobile Switching Centre (MSC) and if MSC has available channels in its central pool then it satisfies the request. Now, the novelty of this work starts where central pool gets exhausted and request of channels from base station (BS) still arrives and is served by returning the unused channels by different cells back to MSC on its request. The simulation of this approach is expounded and evaluated over OMNeT++ in a scenario with fixed channel allocation and hybrid approach by varying the proportion of dynamic channels to total number of channels available and the effectiveness is evaluated in terms of Call blocked and Call dropped versus System load.
Segmentation In Medical Resonance images to extract the cancerous nodule for early diagnosis on cancer
Authors: Brar Raman
Published: May 2018

Image segmentation plays a vital role in several medical imaging programs by assisting the delineation of physiological structures along with other parts. The objective of this research work is to segmentize human lung MRI (Medical resonance Imaging) images for early detection of cancer.Watershed Transform Technique is implemented as the Segmentation method in this work. Some comparative experiments using both directly applied watershed algorithm and after marking foreground and computed background segmentation methods show the improved lung segmentation accuracy in some image cases.
CPW Fed Hexagonal Patch Shape with Hexagonal slot Ultra Wideband Antenna
Authors: Gill Suman , Ubhi J S
Published: May 2018

In this paper hexagonal patch shape with hexagonal slot, ultra wideband antenna is proposed. The total dimensions of antenna are 55Ã—43.5mm. Sides of hexagonal patch are taken 13mm each and hexagonal slot sides are taken as 3mm each. The antenna resonates at two frequencies in ultra wideband range (UWB). There is enhancement in BW in upper range ultra wideband frequency from 6.2 GHz to 8.2GHz due to hexagonal slot cut in hexagonal patch. The design is carried out using Computer Simulation Technology (CST) Microwave Studio (MWS) suite. Co-Planar Waveguide (CPW) feed is used to feed antenna.
Script Recovery from Scanned Document Image
Authors: Kumar Rajesh , K.S Dr. Srinivasan
Published: May 2018

Document digitization with scanner in text document images which have distortions that deteriorate the quality of the document. We propose a goal-oriented rectification methodology to recover the document from distorted document image. Our approach relies upon a coarse-to-fine strategy. First, a coarse rectification is accomplished with the projection of the curved surface on the plane which is guided by the textual contentâ€™s appearance in the document image while incorporating a transformation which does not depend on specific model primitives or scanner setup parameters. Secondly, normalization is applied on the word level aiming to restore all the local distortions of the document image. Experimental results on various document images with a variety of distortions demonstrate the robustness and effectiveness of the proposed rectification methodology that improves OCR accuracy. It finds its application widely in de-warping of document images, images captured from sculptures, from cursive handwritten text, text from palm leaves and so on...
Review of Improvement of Web Search Based on Web Log File
Authors: Chaudhari Soniya P. , Gupta Prof. Hitesh , Patil S. J.
Published: May 2018

In this paper we review various research of journal paper as Web Searching efficiency improvement. Some important method based on sequential pattern Mining. Some are based on supervised learning or unsupervised learning. And also used for other method such as Fuzzy logic and neural network
Exploring Problems and Solutions in estimating Testing Effort for Non Functional Requirement.
Authors: Singh Pratima , Tripathi Anil Kumar
Published: May 2018

Importance of testing has been realized in literature now, although late, but has been realized. Testing of Non Functional Requirement still remains unattended by the Software engineering Community. It is still being given second hand treatment from its specification, design to Testing. We try to analyze the contributory factors of testability of NFR, so that some metrification for the purpose of Effort Estimation due to NFR can be estimated. For the purpose of same we have tried to identify certain, difficulty related to NFR and indicators of its testability.
A Comprehensive Analysis of Mobile Ad-Hoc Routing Protocols Under Varying Node Densities
Authors: Kaler Manpreet Kaur , Malhotra Sonia
Published: May 2018

Mobile ad-hoc network (MANET) is a well known wireless technology being used in present wireless systems and it influences the development of new structures and theories for the communication. The mobile communication in wireless field consists of various nodes communicating with each other through the relay nodes using multi-hope network system or directly. The MANET consists of many routing protocols. Dynamic communication field is mainly dealing area for these routing protocols of MANET. Now-a-days as mobile applications are increasing frequently, It is primary need to analyze these routing protocols to work with high node density and more data load. It motivates the use of various performance comparisons of AODV, DSR and OLSR protocols in mobile ad-hoc network. The comparison represents justified, more effective and reliable protocol for required mobile application. We can analyze these protocols performance on the basis of various matrices like End to End delay, Network load, Re-Transmission attempts and Throughput Using OPNET simulator software tool. The graphical representations are presented here to support the results carried out in this paper.
Security Issues of Routing Protocols in MANETs
Authors: Gandhi Kaushal , Narula Rajneesh , Khullar Sumeer , Arora Anish
Published: May 2018

There are a number of routing protocols developed by researchers. Due to the nature of ad hoc networks, secure routing is an important area of research in developing secure routing protocols. Although researchers have proposed several secure routing protocols, their resistance towards various types of security attacks and efficiency are primary points of concern in implementing these protocols. This paper presents some of the available secure routing protocols and most common attack patterns against ad hoc networks. Routing protocols are subjected to case studies against the most commonly identified attack patterns such as: denial-of-service attack, tunneling, spoofing, black hole attack and wormhole attack etc. In MANET, the nodes also function as routers that discover and maintain routes to other nodes in the network. Establishing an optimal and efficient route between the communicating parties is the primary concern of the routing protocols of MANET. Any attack in routing phase may disrupt the overall communication and the entire network can be paralyzed. Thus, security in network layer plays an important role in the security of the whole network. A number of attacks in network layer have been identified and studied in security research. An attacker can absorb network traffic, inject themselves into the path between the source and destination and thus control the network traffic flow.
Segmentation of Touching Hand written Telugu Characters by using Drop Fall Algorithm
Authors: Srinivasa Rao Adabala Venkata , Sandeep D R , Sandeep V B , Jaya S Dhanam
Published: May 2018

Recognition of Indian language scripts is a challenging problem. Work for the development of complete OCR systems for Indian language scripts is still in infancy. Complete OCR systems have recently been developed for Devanagri and Bangla scripts. Research in the field of recognition of Telugu script faces major problems mainly related to the touching and overlapping of characters. Segmentation of touching Telugu characters is a difficult task for recognizing individual characters. In this paper, the proposed algorithm is for the segmentation of  touching Hand written Telugu characters. The proposed method using Drop-fall algorithm is based on the moving of a marble on either side of the touching characters for selection of the point from where the cutting of the fused components should take place. This method improvers the segmentation accuracy higher than the existing one.
Applying of an Ontology-driven Case-based Reasoning System in Logistics
Authors: Kowalski Martin , Zelewski Stephan , Bergenrodt Daniel
Published: May 2018

The management of logistics projects is a well known part of management science. But until now, purely quantitative and hard project management techniques like the critical path method and the project evaluation and review technique have been dominant. With this main stream approach, only simply structured logistics projects can normally be managed. The few attempts to use case-based reasoning (CBR) for project management failed up until now because of the difficulties when identifying those projects which contain useful, especially qualitative knowledge for the current logistics project. In this paper we present an ontology-driven case-based reasoning system (SCM Project Recommender), that can measure similarity between knowledge collections, which are written in natural language. The application is implemented using the open source CBR development framework jCOLIBRI.
DISTRIBUTED BUSINESS INTELLIGENCE A NEW APPROACH IN ECONOMICAL EDUCATION
Authors: Banica Logica , Pirvu Daniela , Stefan Cristian
Published: May 2018

The focus area of this paper is twofold: covering the theoretical background about cloud-based Business Intelligence, and the practical approach using the Jaspersoft environment. Also, by choosing the main application area, we emphasized the advantage of using such instruments as an educational tool, with the goal of giving the students an opportunity to discover data collections and explore analysis methods. After an overview of the Business Intelligence and Cloud Computing main concepts, we have pointed out the benefits of using BI in the Software as a Service (SaaS) philosophy, and we used the facilities of Jaspersoft BI software to model frequently used analysis requirements on several virtual firms
The place of the stored procedures in the cloud databases
Authors: SÃ®rbu Constantin Florin
Published: May 2018

The software as a service model ensures not only cloud applications, but also cloud databases. In this paper we analyze the impact on stored procedures of the switch of the existing application to cloud applications and cloud databases. We demonstrate that the stored procedures and cloud applications have common advantages and we emphasize also other advantages of the stored procedures. As a contribution we propose a list of improvements to stored procedures that can be considered in the new versions of the SQL standard and implemented by the database management systems providers. For the moment the SQL standard does not include any feature related to the cloud databases, so we expect that once again the software industry will be one step forward to the SQL standard.
Authentication Based Cloud Storage and Secure Data Forwarding
Authors: S Rajasekaran , Y Kalifulla. , S Murugesan. , M Ezhilvendan. , J Gunasekaran.
Published: May 2018

cloud storage system, consisting of a collection of storage servers, provides long-term storage services over the Internet.Â  Storing data in a third partyâ€™s cloud system causes serious concern over data confidentiality. General encryption schemes protect data confidentiality, but also limit the functionality of the storage system because a few operations are supported over encrypted data. Constructing a secure storage system that supports multiple functions is challenging when the storage system is distributed and has no central authority. We propose a threshold proxy re-encryption scheme and integrate it with a decentralized erasure code such that a secure distributed storage system is formulated. The distributed storage system not only supports secure and robust data storage and retrieval, but also lets a user forward his data in the storage servers to another user without retrieving the data back. The main technical contribution is that the proxy re-encryption scheme supports encoding operations over encrypted messages as well as forwarding operations over encoded and encrypted messages. Our method fully integrates encrypting, encoding, and forwarding. We analyze and suggest suitable parameters for the number of copies of a message dispatched to storage servers and the number of storage servers queried by a key server. These parameters allow more flexible adjustment between the number of storage servers and robustness.
Computational Analysis of Different Image Super-Resolution Reconstruction Algorithms
Authors: Lokhande Netra , Yadav Dr. Dinkar M
Published: May 2018

Super-resolution image reconstruction produces a high-resolution image from a set of shifted, blurred, and decimated versions thereof. Super-resolution image restoration has become an active research issue in the field of image restoration. In general, super-resolution image restoration is an ill-posed problem. Prior knowledge about the image can be combined to make the problem well-posed, which contributes to some regularization methods. In these regularization methods, however, regularization parameter was selected by experience in some cases. Other techniques to compute the parameter had too heavy computation cost. This paper presents a generalization of restoration theory for the problem of Super-Resolution Reconstruction (SRR) of an image. In the SRR problem, a set of low quality images is given, and a single improved quality image which fuses their information is required. We present a model for this problem, and show how the classic restoration theory tools-ML, MAP and POCS-can be applied as a solution. A hybrid algorithm which joins the POCS and the ML benefits is suggested.
EVALUTION AND CALIBRATION OF MINIATURE CIRCUIT BREAKER
Authors: Singh Ramandeep , Singh Baljinder
Published: May 2018

The purpose of this paper is to examine the significant developments in MV and LV switchgear technology over the last few decades and why they are only recently beginning to benefit the users. A recent development now has sufficient field experience to show how through innovative design it has been possible to vastly improve an auto-reclosing circuit breaker. The author believes that the same innovative ideas will soon be applied to all types of switchgear. Â The next generation of military switchgear is likely to be developed for the Electric Warship. Irrespective of which distribution supply is used the next generation of switchgear should benefit from the new technology. Calibration of Miniature Circuit Breaker takes a lot of time. Calibration is done to satisfy the International Standards so that all the MCBs are standardized. In this paper we concerned with decreasing this calibration time of MCBs whose rated current is less than or equal to 32 Amps. Calibration can be done by two methods, wiz, and Dual current and single current parameter method. This paper also deals with the decrease in the Calibration time and increase in Production efficiency by the use of later method which is a modification of the former one proposed and implemented here. This is done by employing faster motor for the calibration. Â A recent development now has sufficient field experience to show how through innovative design it has been possible to vastly improve an auto-reclosing circuit breaker. The author believes that the same innovative ideas will soon be applied to all types of switchgear.
EFFICIENT TECHNIQUE FOR AUTOMATIC EXTRACTION AND IDENTIFICATION OF ELEVATION FROM A REFERENCE IMAGE
Authors: Pradhan Mohan Pratap , Ghose Mrinal Kanti , Mittal Gourav
Published: May 2018

In Geographic information system (GIS) identification of elevation detail pertaining to a contour in a reference map or topological map plays an important role while creating digital elevation model or digital surface model of a terrain. Traditional technique involving manual identification of elevation demands greater effort and time where in one needs to tediously identify and enter the elevation value. These identified elevations can be later used for creating digital elevation model. In order to reduce the complexity involved in same, effective and efficient automated technique can be devised that identifies the elevation associated with a contour. In addition the automated technique should also ensure correctness and reliability of the elevation details identified. The alignment of elevation details in the feature space adds to the complexity of the problem. Over years several techniques have been proposed based on object oriented technique and pattern detection. Â  This proposed work introduces a novel rotation invariant technique for identifying number associated with contours taking into consideration friend pattern chain of the significant pixels representing a digit in a number.
HIGH SPEED CARRY SAVE MULTIPLIER BASED LINEAR CONVOLUTION USING VEDIC MATHAMATICS
Authors: Reddy Bharathi , Rani D. Leela , Varadarajan Prof. S.
Published: May 2018

VLSI applications include Digital Signal Processing, Digital control systems, Telecommunications, Speech and Audio processing for audiology and speech language pathology. The latest research in VLSI is the design and implementation of DSP systems which are essential for above applications. The fundamental computation in DSP Systems is convolution. Convolution and LTI systems are the heart and soul of DSP. The behavior of LTI systems in continuous time is described by Convolution integral whereas the behavior in discrete-time is described by Linear convolution. In this paper, Linear convolution is performed using carry save multiplier architecture based on vertical and cross wise algorithm of Urdhva â€“ Tiryagbhyam in Vedic mathematics. Coding is done using Verilog HDL(verilog Hardware Description Language). Simulation and Synthesis are performed using Xilinx FPGA
Realization of different diversity technique for mimo based mobile ad-hoc network using space time block codes
Authors: Chowdhuri Swati , Byabartal Nilanjan , Choudhury Dr. S.S. , Banerjee Dr. P.K.
Published: May 2018

With the fast progress of MIMO technology and its growing applications in the mobile ad hoc networks, it is important to develop a technique to enable more efficient MIMO implemented mobile ad hoc network. The simple, yet powerful concept of an bit error rate (BER) performance calculation with respect to bit energy to noise spectral density ratio (Eb/N0) of a typical transmit diversity scheme with various number of transmit and receiving antennas. Different diversity technique for mimo based mobile ad hoc network using space time block codes are demonstrated to show the superiority in performance of MIMO over single-antenna routing schemes, particularly at high SNR.
A REVIEW OF NEW ABOUT CLOUD COMPUTING SECURITY
Authors: Singh Bohar , Kaur Mandeep , Batra Chetan
Published: May 2018

Job scheduling system problem is a core and challenging issue in Cloud Computing. How to use Cloud computing resources efficiently and gain the maximum profits with job scheduling. Job scheduling system is one of the Cloud computing service providersâ€™ ultimate goals. In this paper, firstly, by analysis the differentiated QoS requirements of Cloud computing resources usersâ€™ jobs, we build the corresponding non-pre-emptive priority M/G/1 queuing model for the jobs.Then, considering Cloud computing service providersâ€™ destination which is to gain the maximum profits by offering Cloud computing resources, we built the system cost function for this queuing model. After that, based on the queuing model and system cost function, considering the goals of both the Cloud Computing service users and providers, we gave the corresponding strategy and algorithm to get the approximate optimistic value of service for each job in the corresponding no-pre-emptive priority M/G/1 queuing model. Finally, we also provide corresponding simulations and numeral results.Analysis and number results show that our approach for job scheduling system can not only guarantee the QoS requirements of the usersâ€™ jobs, but also can make the maximum profits for the Cloud computing service providers.While the economic case for cloud computing is compelling, the security challenges it poses are equally striking. In this work we strive to frame the full space of cloud-computing security issues, attempting to separate justified concerns from possible over-reactions. We examine contemporary and historical perspectives from industry, academia, government, and â€œblack hatsâ€. We argue that few cloud computing security issues are fundamentally new or fundamentally intractable; often what appears â€œnewâ€ is so only relative to â€œtraditionalâ€computing of the past several years. Looking back further to the time-sharing era, many of these problems already received attention. On the other hand, we argue that two facets are to some degree new and fundamental to cloud computing: the complexities of multi-party trust considerations, and the ensuing need for mutual audit ability.
RELATIVE STUDY OF SOLVERS FOR FINITE ELEMENT ANALYSIS
Authors: Singh Harpal
Published: May 2018

A relative study of various linear simultaneous equation solvers has been made. The profile solver and the block solver which have been considered to be most effective solution techniques have been implemented. Medium to large sized structural analysis problems have been analyzed. The comparison of solution time, total execution time and the incore memory requirement have been made. The suitability of solvers for various sized problems has also been discussed.
Security Test by using F T M and Data Allocation Strategies on Leakage Detection
Authors: Radha Pallavali , Sireesha G.
Published: May 2018

The data distributors work is to give sensitive data to a set of presumably trusted third party agents.The data i.e., sent to these third parties are available on the unauthorized places like web and or some ones systems, due to data leakage. The distributor must know the way the data was leaked from one or more agents instead of as opposed to having been independently gathered by other means. Our new proposal on data allocation strategies will improve the probability of identifying leakages along with Security attacks typically result from unintended behaviors or invalid inputs. Â Due to too many invalid inputs in the real world programs is labor intensive about security testing.The most desirable thing is to automate or partially automate security-testing process. In this paper we represented Predicate/ Transition nets approach for security tests automated generationby using formal threat models to detect the agents using allocation strategies without modifying the original data.The guilty agent is the one who leaks the distributed data. To detect guilty agents more effectively the idea is to distribute the data intelligently to agents based on sample data request and explicit data request. The fake object implementation algorithms will improve the distributor chance of detecting guilty agents.
THE IMPROVEMENT OF THE STABILITY PROBLEM OF RESHA GENERATION PLANT IN JORDAN
Authors: Almofleh Anwar , Awad Mahmoud
Published: May 2018

This study, discuss the stability problem of Resha generation plant. The length of the transmission line which connect Resha with Haranah station, decrease the power transferred capacity that increase the risk of transient disturbance on the system, especially when the generators loaded at full load. Beside that several solutions were suggest in order to improve system stability and raise the capacity of transmitted power.
Investigations into Hybrid Magneto-hydrodynamic (MHD) Antenna
Authors: Bist Sunil , Yaduvanshi Dr. Rajveer Singh
Published: May 2018

Dielectric Resonator Antennas (DRAs) have received lots of attention in the last two decades due to several attractive characteristics such as high radiation efficiency, light weight, and low profile. There is also increasing challenges for the design of high bandwidth and multi-bands antennas which can be achieved using MHD Antennas for high speed and reconfigurable applications in wireless communication. In this work the objective is to design and develop a cylindrical MHD antenna with circular patch and two annular rings. Magneto-hydrodynamics (MHD) Antenna is a Fluid based Antenna in which the fluid resonator provides excellent coupling of RF energy into fluid. Fluid resonator volume, chemical properties, electric field and magnetic fields are the factors of resonant frequency, gain and return loss. The proposed antenna shall be tuned in the wide band of frequency range between 7.9 â€“ 27 GHz. Simulations using HFSS and measurements have been carried out in respect of design prototype for â€˜Airâ€™ and BSTO (Barium Strontium Titanate Oxide) microwave fluid. The findings in this work that the Fluid Resonator based hybrid approach for antenna enhances the bandwidth by a large factor and annular rings with circular patch in proper geometry provides multiband operation. Variation in the volume of the fluid shifts the resonant frequency of the solid structure in the wideband. When magnetic field is applied, significant improvement has been noticed in return loss of the proposed antenna.
RE-MAC: A Reliable Energy Efficient MAC Protocol For Wireless Sensor Networks
Authors: Simon Santhosh , Jacob K Paulose
Published: May 2018

Wireless sensor networks are considered to be a promising area to equip scientists with the capability of developing real-time monitoring systems. This paper discusses the design and development of a wireless sensor network (WSN) that can be used for monitoring purposes in the agricultural fields. This battery-powered sensor node makes the network deployment easy but limit the lifetime of the network to the limited capacity of these batteries. The main source of energy wastage in modern sensor networks is idle listening and overhearing. Duty cycling is a proven mechanism to overcome the energy wastage through idle listening. In this paper we introduce a new MAC protocol named as REMAC that minimizes the idle listening by allowing nodes to remain in sleep state until it is necessary to wakeup. It also allows the participating nodes to wake up during the sleep time, perform the data transfer and return to sleep state thereby minimizing the chances for over hearing. We show the performance of REMAC through detailed simulations in NS-2 and also compare the performance evaluation with similar synchronous protocols that employ duty cycling. In the analysis REMAC proves to be saving much energy as compared to others.
Optimal Tasks Assignment for Multiple Heterogeneous Processors with Dynamic Re-assignment
Authors: Kumar Harendra , Singh M. P. , Yadav Pradeep Kumar
Published: May 2018

Distributed Computing System [DCS] has attracted several researchers by posing several challenging problems. In this paper we have developed a mathematical model for allocating â€œMâ€ tasks of distributed program to â€œNâ€ multiple processors (M>N) that minimizes the total cost of the program. Relocating the tasks from one processor to another at certain points during the course of execution of the program that contributes to the total cost of the running program has been taken into account. Most of the researchers have considered the cost for relocating the task from one processor to another processor at the end of the phase as a constant. But in real life situations the reallocating cost of the tasks may very processor to processor this is due to the execution efficiency of the processors. Phase-wise execution cost [EC], inter task communication cost [ITCT], residence cost [RC] of each task on different processors and relocation cost [REC] for each task have been considered while preparing a dynamic tasks allocation model.
CONCEPTUAL THREE PHASE KDD MODEL AND FINANCIAL RESEARCH
Authors: Bagga Dr. Simmi
Published: May 2018

KDD model becomes used in financial process. Data Mining tools can be used to improve the efficiency of the professionals. The integration of Data Mining tools with the traditional financial research methods is relatively a new concept. If Data Mining tools for Financial are developed then it make the process fast, cheaper and relatively much more efficient. In this paper we have discussed the three phase model of KDD on Financial Research.
An Adaptive and Interactive Agent Based ITS for Cognitive Skill Prediction and Improvement
Authors: Gowri Mrs. R. , Kanmani Dr. S. , Santhosh M. , Naresh S.
Published: May 2018

This paper proposes an adaptive and interactive agent based intelligent tutoring system for cognitive ability realization and improvement (ITSCARE - Intelligent Tutoring System for Cognitive Ability Realization and Improvement). ITSCARE allows the learners to realize their cognitive ability and to improve their cognition while studying the course. It provides different types of course materials which are dynamically adapted. It also increases the confidence level of the learners and provides an effective learning experience. This system also provides game based learning which influences the learners to get motivated and focus on the course. After the completion of each chapter, a test is conducted to predict the cognitive ability where students are assessed using their help seeking skills during the test and cognitive skill factors such as memory, concentration, attention in detail etc,. It uses politeness style to provide the test results and feed back to the students which keep the learner interest in the subject. Collaborative learning among the learner is improved by conducting quiz competition where a group of students participate and a winner is chosen. It uses different type of software agent to predict and improve the cognitive skill.
Cloud Computing Issues
Authors: Mahajan Rini , Singh Dr. Dheerendra
Published: May 2018

Abstract- Cloud computing is Internet-based computing, whereby shared resources, software and information, are provided to computers and devices on-demand, like the electricity grid. It aims to construct a perfect system with powerful computing capability through a large number of relatively low-cost computing entity, and using the advanced business models like SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service) to distribute the powerful computing capacity to end usersâ€™ hands. Cloud Computing represents a new computing model that poses many demanding security issues at all levels, e.g., network, host, application, and data levels. The variety of the delivery models presents different security challenges depending on the model and consumersâ€™ Quality of Service (QoS) requirements. Confidentiality, Integrity, Availability, Authenticity, and Privacy are essential concerns for both Cloud providers and consumers as well. This paper introduces the existing issues in cloud computing such as security, privacy, reliability and so on. This paper surveys the security problems of current cloud computing.
Hybrid ANFIS Controller for 6-DOF Manipulator with 3D Model
Authors: Mashhadany Yousif Al
Published: May 2018

This paper proposes a hybrid ANFIS (Adaptive Neuro-Fuzzy Inference System) controller with DMRAC (Direct Model Reference Adaptive Control) and mathematical modeling of the kinematic and dynamic solutions. The controller was hybrid with a classical controller, and was designed for a spherical-wristed 6-DOF elbow manipulator. The manipulatorâ€™s trajectory overshoot and settling time affect movement; their minimization was thus aimed for. The whole manipulator-controller system was modeled and simulated on MATLAB Version 2011a and Robotics Toolbox 9. To increase accuracy, the ANFIS controller was trained to use many paths in rules and memberships selection. A 3D display model for the manipulator was built in MATLAB. The simulation of the design had done by using the MATLAB/SIMULINK through connection the design with 3D model. Satisfactory results show the hybrid controllerâ€™s capacity for precision and speed, both of which are higher than a classical controllerâ€™s alone.
Performance Evaluation of Log-normal And Negative Exponential Channel Modeling Using Various Modulation Techniques in OFDM-FSO Communication
Authors: Singh Nitin Shankar , Singh Gurpartap
Published: May 2018

Free Space Optics (FSO) is one of the emerging technology which is thoroughly being popular and is basically using optical signals for the communication. The paper evaluates the bit error rate performance of the Free space Optics (FSO) system. To design a high performance communication link for the atmospheric FSO channel, it is of great importance to characterize the channel with proper model. The performance of the highly efficient, high data rate system is limited by the certain constraints like scintillation effects and atmospheric turbulence. The FSO communication system using Orthogonal Frequency Division Multiplexing (OFDM) technique which is known for its increased robustness against frequency selective fading, narrow-band interference and high channel efficiency. The performance of the modulation techniques- Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK) and 8-PSK are studied in the Lognormal and Negative Exponential channel. The obtained results are the comparative study of Bit Error Rate (BER) vs. Signal to Noise Ratio (SNR), which is quite useful for analyse the system performance with different channel models for various modulation techniques.
Analysis of Load Balancing Techniques in Cloud Computing
Authors: Sidhu Amandeep , Kinger Supriya
Published: May 2018

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. So, the amount of data storage increases quickly. In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing the performance of the system. A few existing scheduling algorithms can maintain load balancing and provide better strategies through efficient job scheduling and resource allocation techniques as well. In order to gain maximum profits with optimized load balancing algorithms, it is necessary to utilize resources efficiently. This paper discusses some of the existing load balancing algorithms in cloud computing and also their challenges.
Analysing The Quality Attributes of AOP using CYVIS Tool
Authors: Garg Hinam , Garg Mohit
Published: May 2018

The aim of thesis is to provide the difference between AOP and OOP in AspectJ by using CYVIS tool. It gives a way to separate the code from essential crosscutting concerns, such as logging and security, from Java programs core application logic cleanly by making code more readable, less error-prone, and easier to maintain. It also solves the problem of code scattering and code tangling by providing the aspect to crosscutting concerns (concerns which are repeated again and again). In this paper, aspect oriented programming is shownÂ  better than OOP by considering cyclomatic complexity Â and overcoming all those problems which were occurring in OOP. Two examples such as banking system and conversion of int and float values to hexadecimal are illustrated and shows the difference of quality attributes in AOP than OOP.
Fuzzy-based Leader Selection for Topology Controlled PEGASIS Protocol for Lifetime Enhancement in Wireless Sensor Network
Authors: Nehra Vibha , Pal Raju , Sharma Ajay K
Published: May 2018

Wireless sensor Networks present a new generation of real time embedded systems with limited computation, energy and memory resources that are being used in wide variety of applications where traditional networking infrastructure is practically infeasible. Legitimate leader selection can drastically improve the lifetime of the sensor network. This paper proposes fuzzy logic methodology for leader election in PEGASIS based protocol PEGASIS-TC [1] based on two descriptors- residual energy of node and its proximity to Base Station. Simulation results show that depending on network configuration, a substantial increase in stability of network lifetime can be accomplished as compared to PEGASIS-TC.
Implementing Clustering Based Approach for Evaluation of Success of Software Reuse using K-means algorithm
Authors: Kaur Jagmeet , Singh Dr. Dheerendra
Published: May 2018

A great deal of research over the past several years has been devoted to the development of methodologies to create reusable software components and component libraries. But the issue of how to find the contribution of the factor towards the successfulness of the reuse program is still in the naÃ¯ve stage and very less work is done on the modeling of the success of the reuse. The success and failure factors are the key factors that predict the successful reuse of software. An algorithm has been proposed in which the inputs can be given to K-Means Clustering system in form of tuned values of the Data Factors and the developed model shows the high precision results , which describe the success of software reuse.
A Study of Distance Metrics in Histogram Based Image Retrieval
Authors: Sinha Abhijeet Kumar , Shukla K.K.
Published: May 2018

There has been a profound expansion of digital data both in terms of quality and heterogeneity. Trivial searching techniques of images by using metadata, keywords or tags are not sufficient. Efficient Content-based Image Retrieval (CBIR) is certainly the only solution to this problem. Difference between colors of two images can be an important metric to measure their similarity or dissimilarity. Content-based Image Retrieval is all about generating signatures of images in database and comparing the signature of the query image with these stored signatures. Color histogram can be used as signature of an image and used to compare two images based on certain distance metric.In this study, COREL Database is used for an exhaustive study of various distance metrics on different color spaces. Euclidean distance, Manhattan distance, Histogram Intersection and Vector Cosine Angle distances are used to compare histograms in both RGB and HSV color spaces. So, a total of 8 distance metrics for comparison of images for the sake of CBIR are discussed in this work.
Multi-Agent System Overview: Architectural Designing using Practical Approach
Authors: Khozium Mohamed Osama
Published: May 2018

A software agent should be autonomous, flexible, robust and social. The increasing importance of the Multi-Agent System (MAS) has led to the greater availability of tools designed to facilitate their creation and use. To devise agents is considered a real challenge which faces analysts and designers during development of any multi-agent systems. This paper proposes a methodology to determine, clarify and differentiate among agents during development of multi-agent systems using goals and functionalities grouping approach. A step by step case of study is presented to explain the proposed methodology for the creation of an Online Intelligent System (OIS) for Board of Directors guide using Multi-Agent System to facilitate online communication between the board members and their president to monitor the policies and productivity of the company.
Intrusion Detection Techniques based on Cross Layer For Wireless Local Area Networks
Authors: Kumar Dr. Vinod , Agarwal Mr Sandeep , Singh Mr Avtar
Published: May 2018

In this paper, we propose to design a cross-layer based intrusion detection technique for wireless networks. In this technique a combined weight value is computed from the Received Signal Strength (RSS) and Time Taken for RTS-CTS handshake between sender and receiver (TT). Since it is not possible for an attacker to assume the RSS exactly for a sender by a receiver, it is an useful measure for intrusion detection. We propose that we can develop a dynamic profile for the communicating nodes based on their RSS values through monitoring the RSS values periodically for a specific Mobile Station (MS) or a Base Station (BS) from a server. Monitoring observed TT values at the server provides a reliable passive detection mechanism for session hijacking attacks since it is an unspoofable parameter related to its measuring entity. If the weight value is greater than a threshold value, then the corresponding node is considered as an attacker. By suitably adjusting the threshold value and the weight constants, we can reduce the false positive rate, significantly. By simulation results, we show that our proposed technique attains low misdetection ratio and false positive rate while increasing the packet delivery ratio.
AN EFFICIENT MEMORY MANAGEMENT TECHNIQUE FOR SMART CARD OPERATING SYSTEM
Authors: Porwal Shardha , Mittal Himanshu
Published: May 2018

This research paper examines memory managementissues associated with Smart card EEPROM and proposes a newtechnique for memory management for smart card files. Theentire work concentrates to suggest a new methodology onmemory allocation and de-allocation using pointers, which givesbetter memory utilization.
Enhancement of Speech Recognition System by neural network approaches of Clustering
Authors: Upadhyay Anurag , Kaur Chitranjanjit
Published: May 2018

This paper addresses the problem of speech recognition to identify various modes of speech data. Speaker sounds are the acoustic sounds of speech. Statistical models of speech have been widely used for speech recognition under neural networks. In paper we propose and try to justify a new model in which speech co articulation the effect of phonetic context on speech sound is modeled explicitly under a statistical framework. We study speech phone recognition by recurrent neural networks and SOUL Neural Networks. A general framework for recurrent neural networks and considerations for network training are discussed in detail. SOUL NN clustering the large vocabulary that compresses huge data sets of speech. This project also different Indian languages utter by different speakers in different modes such as aggressive, happy, sad, and angry. Many alternative energy measures and training methods are proposed and implemented. A speaker independent phone recognition rate of 82% with 25% frame error rate has been achieved on the neural data base. Neural speech recognition experiments on the NTIMIT database result in a phone recognition rate of 68% correct. The research results in this thesis are competitive with the best results reported in the literature.Â
Survey paper on intrusion detection techniques
Authors: Kulhare Rachna , Singh Dr. Divakar
Published: May 2018

Network security has been one of the mostÂ important problems in Computer Network Management and Intrusion is the most publicized threats to security. In recent years, intrusion detection has emerged as an important field for network security. IDSs obtain better results when each class ofattacks is treated as a separate problem and handled by specialized algorithms. Now in days various model and method are available for intrusion detection. In this paper, we present a study of intrusion detection. Detection method to improve the detection rate & helping the users to develop secure information systems.
Simulation and Analysis of MC-CDMA System under AWGN and Rayleigh Fading Channel
Authors: Kulhare Bhavana , Sinha Dr. Poonam
Published: May 2018

This paper presents a detailed analysis of Multicarrier Code Division Multiple Access (MC-CDMA) system over Additive White Gaussian Noise (AWGN) and Rayleigh Fading Channel with analysisof the effects of different number of sub-carriers and multiuser scenarios and at the end a comparison with standard technique is also performed. The complete analysis is performed by simulating the mathematical model of the MC-CDMA system with various combinations of sub-carriers, number of users, SNR, path gains and path delays etc. the simulation results shows that the MC-CDMA is an effective way to overcome the multipath fading losses and spectrum utilization with relatively simple system architecture.
IDENTIFICATION AND IMPLEMENTATION OF DESIGN PATTERNS IN MOBILE BANKING
Authors: Hemalatha M. , Vikneshraj A. , Prasanna N. Adithya
Published: May 2018

The aim of this paper is to develop a mobile banking system using design patters that provides customers with the facility to check their accounts and to do online transactions using mobile phones. There are various number of software design patterns that have been identified and used by software developers in various domains such as navigation systems, e-commerce, data mining, construction of operating systems, e-business, games and website designing and development purpose. In order to achieve our aim we are going to follow three steps. First step is the identification process, in this process we are going to study the various design patterns and the existing architecture of several mobile banking systems and will identify the design patterns based on the cross cutting concerns that occur in flow of the banking process. The second step is to implement the identified design patterns using the patterns skeleton code. We need to improve the reusability using object oriented programming. Finally we are going to implement the identified patterns and evaluate the patterns using already available methods such as SAAM, ATAM, ALAM (Architecture-Level Maintainability Analysis).