International Journal of Science Engineering and Advance Technology (IJSEAT)
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1075 research outputs found
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Effective Resource Allocation in flexible Overlay Routing
Overlay routing is the very attractive scheme that allows the improving certain properties of the routing without the need to change the standards of the current underlying routing. However, deploying overlay routing requires the placement and maintenance of overlay infrastructure. This gives rise to the following optimization problem: Find a minimal set of overlay nodes such that the required routing properties are satisfied. In this paper, we rigorously study this optimization problem. We show that it is NP- of the problem at hand. We examine the practical aspects of the scheme by evaluating the gain one can get over several hard and derive a nontrivial approximation algorithm for it, where the approximation ratio depends on specific properties real scenarios. The first one is BGP routing, and we show, using up-to-date data reflecting the current BGP routing policy in the Internet, that a relative small number of less than 100 relay servers is sufficient to enable routing over shortest paths from a single source to all autonomous systems (ASs), reducing the average path length of inflated paths by 40%. We also demonstrate that the scheme is very useful for TCP performance improvement (results in an almost optimal placement of overlay nodes) and for Voice-over-IP (VoIP) applications where a small number of overlay nodes can significantly reduce the maximal peer-to-peer delay.
Design And Simulation Of Interline Unified Power Quality Conditioner (Iupqc) By Using Fuzzy Logic Controller
This paper proposes anew connection for a unified power quality conditioner (UPQC) to improve the power quality of two feeders in a distribution system. The interline custom power devices named Interline Unified Power Quality Conditioner (IUPQC) is improved for various power quality disturbances and modeled in MATLAB/SIMULINK by using fuzzy logic controller. The developed topology can be used for simultaneous compensation of voltage and current imperfections in a multi bus/multi feeder system. The proposed IUPQC is designed for medium voltage level (11 kV) and effective Enhanced Phase Locked Loop (EPLL) with Fuzzy based control technique is used to detect and extract the PQ disturbances. The performance of Series Compensator of IUPQC is evaluated through extensive simulations for mitigating unbalanced voltage sags with phase jumps and interruption. The performance of Shunt Compensator of IUPQC is also tested for harmonic and reactive power compensation that are not investigated before in literature. It is verified that IUPQC which is connected to two feeders, can compensate current and voltage distortions successfully in these feeders according to the results obtained using MATLAB/SIMULINK
Modeling And Simulation Of Grid Connected Inverter For Power Quality Enhancement By Using Cascaded Current- Voltage Control Strategy
This paper is presenting, a cascaded current–voltage control strategy which is proposed for inverters to concurrently get better the power quality of the inverter local load voltage and the current exchanged with the grid. It also enables faultless transfer of the operation mode from stand-alone mode to grid-connected mode or vice versa. The control proposal includes an inner voltage loop and an outer current loop, with both controllers designed using the fuzzy logic control and H∞ repetitive control strategy. This leads to a very low total harmonic distortion in both the inverter local load voltage and the current exchanged with the grid at the same time. The proposed control strategy can be used to single-phase inverters and also for three-phase four-wire inverters. The balanced clean currents can be injected into grid, incase of grid connected inverters, even though these inverters have local loads(if any),which are unbalanced and/or nonlinear. Simulation under different scenarios, with comparisons made to the current repetitive controller replaced with a current proportional–resonant controller, is presented to demonstrate the excellent performance of the proposed system
Dissecting Malicious Word, PDF Documents
Internet and computers are now a part of our daily routine life. With the development of network and information technology, E-mail has became increasingly popular and the society’s indispensable need. However, virus spreading via the E-mail is also increasing at an enormous rate. The E-mail attachment such as PDF Document, Microsoft Word Document, EXE program can spread viruses from one computer to another computer. This paper describes and analyses the various forms of the E-mail viruses via the Microsoft Word Documents and the PDF Documents. We describe the methodology to detect such E-mail viruses using tools such as OfficeMalscanner for Word Documents and PDF stream Dumper for PDF Documents
Closed Loop Fuzzy Logic Control of 3-∅ BLDC Motor Driven by High Voltage Gain Interleaved Boost Converter
This paper deals the Brush Less DC Motor (BLCDM) driven by an efficient closed loop fuzzy logic based high voltage gain interleaved boost converter. The proposed high voltage gain interleaved boost converter in this paper is to boosts an input DC voltage to required DC output voltage. The proposed converter performs the inverter operation to drive the BLCDM. For fine tuning and dynamic responses of BLDCM, such as speed, torque, stator current and stator voltage an improved closed loop fuzzy logic control method is adapted in this paper. The control technique is modeled and simulated in MATLAB 2009a GUI environment using Simulink and Sim Power System set tool boxes. Finally the resultant simulation waveforms shows some more accuracy with the proposed closed loop fuzzy logic control technique as compared with conventional control techniques. The control techniques to drive the BLDCM are modeled and simulated in MATLAB 2009a GUI environment using Simulink and Sim Power System set tool boxe
Kernel based Design on Industrial Automation
In this paper presented an Industrial based automation with real-time approach by using kernel objects. ARM7 processor chip was used for real-time scheduling purpose. In this an embedded resistance-temperature characteristic measurement system for automotive temperature sensor is designed, which uses ARM7 chip as kernel and preemptive real-time embedded operating system μC/OS-Ⅱ as software platform. The system has the capability of multi-tasking, real-time scheduling and completely meets the need of real time and reliability. Irrevocably it was highly efficient, accurate and reliable automatic measurement system. It was composed with Wireless-Sensor-Network based industry appliances monitoring system for efficient behavior in functionality assessment through various sensing unit
An Improved Cost Estimation in Software Project Development Using Neural Networks and COCOMOII model
An sympathetic of quality aspects is relevant for the software association to deliver high software dependability. An empirical consideration of metrics to prophesy the quality attributes is basic in order to acquire insight about the value of software in the primitive phases of software development and to certify corrective actions. Herein paper, we forecast a model to assess fault proneness via Object Oriented CK metrics and QMOOD metrics. We pertain one statistical method and six machine learning technique to predict the models. The proposed reproduction are validated using dataset unruffled from Open Source software. The consequences are analyzed using Area Under the Curve (AUC) achieve from Receiver Operating Characteristics (ROC) testing. The results show that the replica predicted using the random forest and bagging methods outperformed all the other mould. Hence, support on these results it is equitable to claim that quality models have a considerable relevance with Object Oriented metrics and that machine learning organizations have a equivalent performance with numerical methods. It is experimental that the CBR routine using the Mahalanobis detachment similarity occupation moreover the inverse distance weighted solution algorithm yielded the best fault prediction. In addition, the CBR models have superior performance than models basis on multiple linear regression.
An Efficient and Trustworthy Resource Sharing Platform for Collaborative Cloud Computing
Software as a Service (SaaS) is an important flavor of cloud computing to provide comprehensive Business emulsion. modernization in cloud computing are foremost to a promising future for cloud association, where wide-reaching spotted distributed cloud resources belonging to diverse organizations or individuals are collectively used in a compliant manner to provide services. —The collaborative cloud computing(CCC) which is collaboratively supported by various organization (Google, IBM, AMAZON, MICROSOFT) offers a promising future for information rescue. Human beings look after to keep things simple by moving the complex feature to computing. As a consequence, we prefer to go to one or a limited number of sources for all our information needs. In contemporary scenario where information is replicated, modified (value added), and scattered geographically; retrieving information in a suitable form requires lot more effort from the user and thus difficult. For instance, we would like to go directly to the source of information and at the same time not to be burdened with additional effort. We propose a novel idea to utilize SaaS in the academic sector as an application, cloud campus and also to incorporate collaborative cloud computing (CCC) platform in four tasks: User and Service identity management, overall QoS based resource selection, resource overloadcontrol, feedback system
Condition Examine And Flaw Determination In Induction Motor- An Exploration
Induction motor notably three phase induction motor plays dynamic role in the industry due to their advantages over other electrical motors. Therefore, there is an extreme demand for their intense and secure operation. If any fault and failures occur in the motor it can lead to uncontrolled downtimes and generate prominent losses in terms of revenue and maintenance. Therefore, premature fault detection is needed for the indemnity of the motor. In the current scheme, the condition examine of the induction motor are increasing due to its potential to diminish operating costs, enhance the intense of operation and enhance service to the customers. The condition examine of induction motor is an emerging technology for online determination of incipient flaws. The on-line condition examine involves taking measurements on a machine while it is in operating conditions in order to determination of flaws with the aim of diminishing both unexpected flaws and maintenance costs. In the present paper, a comprehensive contemplate of induction machine flaws, diagnostic mechanism and future aspects in the condition examine of induction motor has been discussed
Steganography with BSS-RSA-LSB technique: A new approach to Steganography.
Security of information plays a vital role in data transmission. For this purpose steganography and cryptography is plays a major role. Steganography embed a text into cover image and cryptography convert plain text into the cipher text vice versa. There are many algorithms that has been proposed for steganography and cryptography for safe transmission of the data. But intruder sometimes identify the secret message from the stegano image. In the proposed system we apply BSS technique on secret message after to convert the cipher text using RSA algorithm. The cipher text is embedded into cover image using LSB technique, it generates stegano image