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27,404 Article Results

Dynamic Time Slice Calculation for Round Robin Process Scheduling Using NOC

10.11591/ijece.v5i6.pp1480-1485
G Siva Nageswara Rao , N. Srinivasu , S.V.N. Srinivasu , G. Rama Koteswara Rao
Process scheduling means allocating a certain amount of CPU time to each of the user processes.  One of the popular scheduling algorithms is the “Round Robin” algorithm, which allows each and every process to utilize the CPU for short time duration.  Processes which finish executing during the time slice are removed from the ready queue.  Processes which do not complete execution during the specified time slice are removed from the front of the queue, and placed at the rear end of the queue. This paper presents an improvisation to the traditional round robin scheduling algorithm, by proposing a new method. The new method represents the time slice as a function of the burst time of the waiting process in the ready queue. Fixing the time slice for a process is a crucial factor, because it subsequently influences many performance parameters like turnaround time, waiting time, response time and the frequency of context switches.  Though the time slot is fixed for each process, this paper explores the fine-tuning of the time slice for processes which do not complete in the stipulated time allotted to them.
Volume: 5
Issue: 6
Page: 1480-1485
Publish at: 2015-12-01

Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases

10.11591/ijece.v5i6.pp1569-1576
Moloud Abdar , Sharareh R. Niakan Kalhori , Tole Sutikno , Imam Much Ibnu Subroto , Goli Arji
Heart diseases are among the nation’s leading couse of mortality and moribidity. Data mining teqniques can predict the likelihood of patients getting a heart disease. The purpose of this study is comparison of different data mining algorithm on prediction of heart diseases. This work applied and compared data mining techniques to predict the risk of heart diseases. After feature analysis, models by five algorithms including decision tree (C5.0), neural network, support vector machine (SVM), logistic regression and k-nearest neighborhood (KNN) were developed and validated. C5.0 Decision tree has been able to build a model with greatest accuracy 93.02%, KNN, SVM, Neural network have been 88.37%, 86.05% and 80.23% respectively. Produced results of decision tree can be simply interpretable and applicable; their rules can be understood easily by different clinical practitioner.
Volume: 5
Issue: 6
Page: 1569-1576
Publish at: 2015-12-01

Electromagnetic Performance due to Tooth-tip Design in Fractional-slot PM Brushless Machines

10.11591/ijpeds.v6.i4.pp860-868
Mohd Luqman Mohd Jamil , Zulfikri Zaki Zolkapli , Auzani Jidin , Raja Nor Firdaus Raja Othman , Tole Sutikno
Permanent Magnet (PM) machines are favorable as an alternative to other machine topologies due to simpler construction and high torque density. However, it may result hight torque ripple due to an influence of cogging torque and electronic commutation. In this paper, comparisons of phase back-emf, static torque and cogging torque due to influence of tooth-tip asymmetry in 12-slot/10-pole double-layer and 12-slot/10-pole single layer winding machines are carried out using 2D Finite-Element Analysis. At rated condition, the stator asymmetry has great influence on the torque performance as there is significant reduction of torque ripple in 12-slot/10-pole mahine equipped with single layer winding than one equipped with double layer winding machine. It si confirmed that an optimum torque performance is desirable via stator iron modification in PM machines.
Volume: 6
Issue: 4
Page: 860-868
Publish at: 2015-12-01

A Novel Power Factor Correction Rectifier for Enhancing Power Quality

10.11591/ijpeds.v6.i4.pp772-780
Bindu K V , B Justus Rabi
In this paper, the disturbances in power system due to low quality of power are discussed and a current injection method to maintain the sinusoidal input current which will reduce the total current harmonic distortion (THD) as well as improve the power factor nearer to unity is proposed. The proposed method makes use of a novel controlled diode rectifier which involves the use of bidirectional switches across the front-end rectifier and the operation of the converter is fully analyzed. The main feature of the topology is low cost, small size, high efficiency and simplicity, and is excellent for retrofitting front-end rectifier of existing ac drives, UPS etc. A novel strategy implementing reference compensation current depending on the load harmonics and a control algorithm for three-phase three-level unity PF rectifier which draws high quality sinusoidal supply currents and maintains good dc link- voltage regulation under wide load variation. The proposed technique can be applied as a retrofit to a variety of existing thyristor converters which uses three bidirectional switches operating at low frequency and a half-bridge inverter operating at high frequency .The total power delivered to the load is processed by the injection network, the proposed converter offers high efficiency and not only high power factor but also the Total Harmonic Distortion is reduced. Theoretical analysis is verified by digital simulation and a hardware proto type module is implemented in order to confirm the feasibility of the proposed system. This scheme in general is suitable for the common variable medium-to high-power level DC load applications.
Volume: 6
Issue: 4
Page: 772-780
Publish at: 2015-12-01

Development of Predictive Current Controller for Multi-Port DC/DC Converter

10.11591/ijpeds.v6.i4.pp683-692
Santhosh T K , Govindaraju C
This paper investigates the utilization of a predictive current control for a fourport DC/DC power electronic converter with an input port, two storage portsand a load port suitable for a Hybrid Electric Vehicle. Being a power converterwith multiple ports, it has different operating modes. While the Stateflow con-troller is employed to handle mode selection, the predictive current controller isemployed for the inductor current control. The control laws governing each op-erating mode is derived out for valley current control. By making the inductorcurrent in the upcoming switching cycle equivalent to the reference, the duty cycleis predicted. Simulation and experimental results show improvements in currentripple minimization, faster dynamic performance and comparable to traditionalcontrol method.
Volume: 6
Issue: 4
Page: 683-692
Publish at: 2015-12-01

Effect of Height of the Substrate and Width of the Patch on the Performance Characteristics of Microstrip Antenna

10.11591/ijece.v5i6.pp1441-1445
R. Mishra , P. Kuchhal , A. Kumar
The demand for broad-band antennas has been increased in the recent years. They find to be extensively used in high frequency and high speed data communication. The factors affecting the bandwidth of the microstrip antenna is discussed in this paper. There are two main parameter responsible for the broadening of the antenna. One is the height of the dielectric substrate and another one is the width of the patch.  In this paper, we study the performance characteristics of rectangular patch antenna with variable thickness of the substrate and width of the patch. One of the parameter is varied keeping the other fixed and the characteristic effects on resonant frequency, band width and gain are studied.
Volume: 5
Issue: 6
Page: 1441-1445
Publish at: 2015-12-01

Clutter Reduction in Parallel Coordinates using Binning Approach for Improved Visualization

10.11591/ijece.v5i6.pp1564-1568
Swathy Sunil Kumar , Teenu Krishnan , Sreeja Ashok , M.V. Judy
As the data and number of information sources keeps on mounting, the mining of necessary information and their presentation in a human delicate form becomes a great challenge. Visualization helps us to pictorially represent, evaluate and uncover the knowledge from the data under consideration. Data visualization offers its immense opportunity in the fields of trade, banking, finance, insurance, energy etc. With the data explosion in various fields, there is a large importance for visualization techniques. But when the quantity of data becomes elevated, the visualization methods may take away the competency. Parallel coordinates is an eminent and often used method for data visualization. However the efficiency of this method will be abridged if there are large amount of instances in the dataset, thereby making the visualization clumsier and the data retrieval very inefficient. Here we introduced a data summarization approach as a preprocessing step to the existing parallel coordinate method to make the visualization more proficient.
Volume: 5
Issue: 6
Page: 1564-1568
Publish at: 2015-12-01

Implementation of Space Vector Modulator for Cascaded H-Bridge Multilevel Inverters

10.11591/ijpeds.v6.i4.pp906-918
Syamim Sanusi , Auzani Jidin , Tole Sutikno , Kasrul Abdul Karim , Mohd Luqman Jamil , Siti Azura Ahmad Tarusan
The Space Vector Modulation (SVM) technique has gained wide acceptance for many AC drive applications, due to a higher DC bus voltage utilization (higher output voltage when compared with the SPWM), lower harmonic distortions and easy digital realization. In recent years, the SVM technique was extensively adopted in multilevel inverters since it offers greater numbers of switching vectors for obtaining further improvements of AC drive performances. However, the use of multilevel inverters associated with SVM increases the complexity of control algorithm (or computational burden), in obtaining proper switching sequences and vectors. The complexity of SVM computation causes a microcontroller or digital signal processor (DSP) to execute the computation at a larger sampling time. This consequently may produce errors in computation and hence degrades the control performances of AC motor drives. This paper presents a developement of SVM modulator for three-level Cascaded H-Bridge Multilevel Inverter (CHMI) using a hybrid controller approach, i.e. with combination between the DS1104 Controller Board and FPGA. In such way, the computational burden can be minimized as the SVM tasks are distributed into two parts, in which every part is executed by a single controller. This allows the generation of switching gates performed by FPGA at the minimum sampling time 〖DT〗_2=540 ns to obtain precise desired output voltages, as can be verified via simulation and experimental results.
Volume: 6
Issue: 4
Page: 906-918
Publish at: 2015-12-01

EASR: Graph-based Framework for Energy Efficient Smart Routing in MANET using Availability Zones

10.11591/ijece.v5i6.pp1381-1395
Ramanna Havinal , Girish V Attimarad , M N Giriprasad
Energy consumption in MobileAdhoc Network (MANET) is a topic of research from more than a decade. Althoughthere are multiple archival of literatures, that have proposed variousenergy-efficient algorithms for reducing the energy consumption to improveenergy efficiency. Establishing correct and reliable route is important designissue in MANET, but a more challenging goal is to provide energy efficientroute. But, it was observed that majority of such energy efficient routingprotocols just give symptomatic solution which addresses and mitigated theenergy issues overlooking various associated issues like quality of services.Moreover, in majority of research previous studies it is found that AODV andDSDV are highly in adoption rate among the researcher for solving energy issuesusing routing protocols. This manuscript after reviewing some of thesignificant literatures in past explored issues in existing AODV and DSDVand  proposes a novel energy efficientrouting protocols by incorporating a new actor called availability zone. Theproposed model shows better energy efficiency and QoS compared to AODV andDSDV.
Volume: 5
Issue: 6
Page: 1381-1395
Publish at: 2015-12-01

Anti-Phishing Techniques in Cryptography

10.11591/ijece.v5i6.pp1511-1515
Akshey Nanda , Himanshu Gupta
Phishing is a process in which Phishers try to leak out the credentials of users by hosting a fake web page on user's browser. To save users from phishing attacks, many researchers have dug deep and presented their insights. Nowadays, in the era of 21st century,  banks are using the OTP and visual cryptography for the authentication of both sides i.e. user and the bank. In this paper, we are proposing a methodology in which a user will need to give his finger prints as an authentication.
Volume: 5
Issue: 6
Page: 1511-1515
Publish at: 2015-12-01

Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor Drive Using Extended Kalman Filter

10.11591/ijpeds.v6.i4.pp819-830
Mini R , Saranya C , B. Hariram Satheesh , Dinesh M.N.
Sensorless Direct Torque Control (DTC) is a powerful control scheme for high performance control of induction motor (IM) drives, which provides very quick dynamic response with simple structure and a decoupled control of torque and flux. The performance of the DTC drive depends greatly on the accuracy of the estimated flux components, torque and speed, using monitored stator voltages and currents. Low speed estimation is a great challenge because of the presence of transient offset, drift and domination of ohmic voltage drop.Extended Kalman filter (EKF) is a non linear adaptive filter which performs the process of finding the best estimate from the noisy data based on state space techniques and recursive algorithm. This paper mainly focuses on the accurate estimation of speed ranging from very low speed to rated speed using the equation of motion. A new state space model of the IM is developed for estimation in EKF, with load torque as an input variable and not as an estimated quantity which is the case in most previous studies. The developed algorithm is validated using MATLAB-Simulink platform for speeds ranging from low speed to rated speed at rated torque and at various torque conditions. An exhaustive analysis is carried out to validate the performance of DTC Induction motor drive especially at the low speeds. The results are promising for accurate estimation of speed ranging from low speed to rated speed using EKF.
Volume: 6
Issue: 4
Page: 819-830
Publish at: 2015-12-01

FACT Device for Reactive Power Compensation in the Deregulated Electrical Power Environment

10.11591/ijpeds.v6.i4.pp730-735
M. Packiasudha , S. Suja
In the deregulating electricity market, many private sector power producers are participating actively. With growing number of the wind mills and solar power generation, the reactive power production will be more because of induction generator and inductive type load. Many blackouts have happened in the past decades due to more reactive power which lead to a decrease in the magnitude of real power. It is very essential to compensate the reactive power, increase the real power flow in the transmission line, increase the transmission efficiency, improve the system stability and be in a safer place to save the fossil fuels for the future. In this paper the importance of reactive power and its various compensation techniques are applied to a five bus deregulated test case modeled and analyzed. The simulations were done using Matlab Simulink, for various FACT controllers such as STATCOM, SVC, SSSC and UPFC compensation and the results were tabulated and compared.
Volume: 6
Issue: 4
Page: 730-735
Publish at: 2015-12-01

An SoC Architecture for Real-Time Noise Cancellation System Using Variable Speech PDF Method

10.11591/ijece.v5i6.pp1336-1346
Trio Adiono , Aditya F. Ardyanto , Nur Ahmadi , Idham Hafizh , Septian G. P. Putra
This paper presents the architecture and implementation of system-on-chip (SoC) for realtime noise cancellation system which exploits variable speech probability density function (PDF) and maximum a posteriori (MAP) estimation rule as noise cancelling algorithm. The hardware software co-design approach is employed to achieve real-time performance while considering ease of implementation and design flexibility. The software module utilizes LEON SPARC-v8 and FPU co-prosessor as processing unit. The AMBA based Hanning Filter and FFT/IFFT are utilized as processing accelerator modules to increase system performance. The FFT/IFFT module employs custom Radix-2^2 Single Delay Feedback (R2^2SDF). In order to deliver high data transfer rate between buffer and hardware accelerators, the DMA controller is incorporated. The overall system implementation utilizes 18,500 logic elements and consumes 21.87 kB of memory. The system takes only 0.69 ms latency which is appropriate for real-time application. An FPGA Altera DE2-70 is used for prototyping with both algorithms and the noise cancellation function have been verified.
Volume: 5
Issue: 6
Page: 1336-1346
Publish at: 2015-12-01

Application of Coupled Inductors for Reducing Switching Stresses in a Hybrid Power System

10.11591/ijeecs.v16.i3.pp463-472
Dharani M , Usha P
This paper presents a novel methodology using coupled inductor for hybridizing multi input sources. A four port three input dc-dc converter is chosen, two photovoltaic sources and a storage medium are interfaced with the converter. The two sources can supply the load as well as charge the battery. Four independently controlled switches are employed to provide dc regulated output. The hybridization of the sources and converter is achieved by coupled inductors. The results show that the presence of coupled inductors increases the voltage gain and reduces the switching stress. The proposed system is verified and validated in MATLAB environment under various operating condition.
Volume: 16
Issue: 3
Page: 463-472
Publish at: 2015-12-01

An Optimistic Approach for Clustering Multi-version XML Documents Using Compressed Delta

10.11591/ijece.v5i6.pp1472-1479
Vijay R Sonawane , D. Rajeswara Rao
Today with Standardization of XML as an information exchange over web, huge amount of information is formatted in the XML document. XML documents are huge in size. The amount of information that has to be transmitted, processed, stored, and queried is often larger than that of other data formats. Also in real world applications XML documents are dynamic in nature. The versatile applicability of XML documents in different fields of information maintenance and management is increasing the demand to store different versions of XML documents with time. However, storage of all versions of an XML document may introduce the redundancy. Self describing nature of XML creates the problem of verbosity,in result documents are in huge size. This paper proposes optimistic approach to Re-cluster multi-version XML documents which change in time by reassessing distance between them by using knowledge from initial clustering solution and changes stored in compressed delta. Evolving size of XML document is reduced by applying homomorphic compression before clustering them which retains its original structure. Compressed delta stores the changes responsible for document versions, without decompressing them. Test results shows that our approach performs much better than using full pair-wise document comparison.
Volume: 5
Issue: 6
Page: 1472-1479
Publish at: 2015-12-01
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