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29,602 Article Results

A New Photovoltaic Blocks Mutualization System For Micro-Grids Using An Arduino Board And Labview

10.11591/ijpeds.v9.i1.pp98-104
Abdelkader Mezouari , Rachid Elgouri , Mohammed Alareqi , Khalid Mateur , Hamad Dahou , Laamari Hlou
The photovoltaic systems are often employed into micro-grids; Micro-grids are small power grids designed to provide a reliable and better power supply to a small number of consumers using renewable energy sources. This paper deals with DC micro-grids and present a new system of monitoring and sharing electricity between homes equipped with photovoltaic panels (PV) in the goal to reduce the electrical energy waste. The system is based on dynamic sharing of photovoltaic blocks through homes in stand-alone areas, using an arduino board for controlling the switching matrix. The LABVIEW program is used to further process and display collected data from the system in the PC screen. A small-scale prototype has been developed in a laboratory to proof the concept. This prototype demonstrates the feasibility and functionality of the system.
Volume: 9
Issue: 1
Page: 98-104
Publish at: 2018-03-01

Improved Time Responses of PI & FL Controlled SEPIC Converter based Series Resonant Inverter-fed Induction Heating System

10.11591/ijpeds.v9.i1.pp305-315
Muthu Periyasamy , Chandrahasan Umayal
This work deals with the Power Factor Corrected Single-Ended Primary Inductor Converter (PFC-SEPIC) based voltage fed closed loop full bridge series resonant induction heating system for household induction heating applications. The output voltage of the front end PFC-SEPIC converter fed series resonant inverter governs the controllers, which may be PI controller or Fuzzy Logic Controller (FLC). The analysis and comparison of time responses are presented in this paper. The PFC-SEPIC converter is used to improve the output power and the THD of source side current are compared for PI and FLC controllers. PFC-SEPIC converter maintains improved current and voltage at unity power factor through the input mains. The SEPIC converter based Voltage Fed Full Bridge Series Resonant Inverter (VFFBSRI) converts the voltage at a frequency of 10 kHz to a level suitable for household induction heating. A 1 kW SEPIC converter based VFFBSRI with RLC load is designed and simulated using MATLAB/ Simulink and hardware is fabricated.
Volume: 9
Issue: 1
Page: 305-315
Publish at: 2018-03-01

Very-Short Term Wind Power Forecasting through Wavelet Based ANFIS

10.11591/ijpeds.v9.i1.pp397-405
M. Nandana Jyothi , P.V. Ramana Rao
This paper proposes a Wavelet based Adaptive Neuro-Fuzzy Inference System (WANFIS) applied to forecast the wind power and enhance the accuracy of one step ahead with a 10 minutes resolution of real time data collected from a wind farm in North India. The proposed method consists two cases. In the first case all the inputs of wind series and output of wind power decomposition coefficients are carried out to predict the wind power. In the second case all the inputs of wind series decomposition coefficients are carried out to get wind power prediction. The performance of proposed WANFIS is compared to Wavelet Neural Network (WNN) and the results of the proposed model are shown superior to compared methods.
Volume: 9
Issue: 1
Page: 397-405
Publish at: 2018-03-01

Software System Package Dependencies and Visualization of Internal Structure

10.11591/ijaas.v7.i1.pp13-20
Ahmad Abdul Qadir Alrababah
This manuscript discusses the visualization methods of software systems architecture with composition of reverse engineering tools and restoration of software systems architecture. The visualization methods and analysis of dependencies in software packages are written in Java. To use this performance graphit needs to describe the relationships between classes inside the analyzed packages and between classes of different packages. In the manuscript also described the possibility of tools to provide the infrastructure for subsequent detection and error correction design in software systems and its refactoring.
Volume: 7
Issue: 1
Page: 13-20
Publish at: 2018-03-01

A Novel CAZAC Sequence Based Timing Synchronization Scheme for OFDM System

10.11591/ijaas.v7.i1.pp66-72
Anuja Das , Biswajit Mohanty , Benudhar Sahu
Several classical timing synchronization schemes have been proposed for the timing synchronization in OFDM systems based on the correlation between identical parts of OFDM symbol. These schemes   show poor performance due to the presence of plateau and significant side lobe. In this paper we present a timing synchronization schemes with timing metric based on a Constant Amplitude Zero Auto Correlation (CAZAC) sequence. The performance of the proposed timing synchronization scheme is better than the classical techniques
Volume: 7
Issue: 1
Page: 66-72
Publish at: 2018-03-01

Review on Exergy and Energy Analysis of Solar Air Heater

10.11591/ijpeds.v9.i1.pp420-426
Ahmad Fudholi , Kamaruzzaman Sopian
Solar air heater (SAH), which is the most essential component of solar drying systems, receive solar energy and convert it into thermal energy. This review presents descriptions and previous works conducted on performances analysis of SAHs. Exergoenviroeconomic, exergoenvironmental, environmental, and exergy analyses are also presented. In addition, results on the performances of SAHs are summarized. The exergy and energy efficiencies of SAHs at laboratorium testing range from 8% to 61% and from 30% to 79%, respectively.
Volume: 9
Issue: 1
Page: 420-426
Publish at: 2018-03-01

A Fusion Based Visibility Enhancement of Single Underwater Hazy Image

10.11591/ijaas.v7.i1.pp38-45
Samarth Borkar , Sanjiv V. Bonde
Underwater images are prone to contrast loss, limited visibility, and undesirable color cast. For underwater computer vision and pattern recognition algorithms, these images need to be pre-processed. We have addressed a novel solution to this problem by proposing fully automated underwater image dehazing using multimodal DWT fusion. Inputs for the combinational image fusion scheme are derived from Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) for contrast enhancement in HSV color space and color constancy using Shades of Gray algorithm respectively. To appraise the work conducted, the visual and quantitative analysis is performed. The restored images demonstrate improved contrast and effective enhancement in overall image quality and visibility. The proposed algorithm performs on par with the recent underwater dehazing techniques.
Volume: 7
Issue: 1
Page: 38-45
Publish at: 2018-03-01

Power Supply for Excitation Mechanism of Motor in Electrical Appliance

10.11591/ijeecs.v9.i3.pp609-612
Benjamin Franklin , Sasilatha Sasilatha
In this paper, we propose another sort of brushless excitation system. Fueling the engine energizing twisting by remote power transmission (WPT) in light of attractively coupled reverberation can be a proficient approach to stay away from mechanical association of the rotor and the outer terminal, and accomplish brushless excitation advantageously and financially in a novel strategy. The constituent parts of this excitation instrument and the way they cooperate are presented. We additionally plan distinctive sorts of resonators for various excitation requests. The electromagnetic condition of this instrument is contemplated and some corroborative investigations are done, the outcomes uncover the viability.
Volume: 9
Issue: 3
Page: 609-612
Publish at: 2018-03-01

Data Mining Techniques for Providing Network Security through Intrusion Detection Systems: a Survey

10.11591/ijaas.v7.i1.pp7-12
Prabhu Kavin B , Ganapathy S
Intrusion Detection Systems are playing major role in network security in this internet world. Many researchers have been introduced number of intrusion detection systems in the past. Even though, no system was detected all kind of attacks and achieved better detection accuracy. Most of the intrusion detection systems are used data mining techniques such as clustering, outlier detection, classification, classification through learning techniques. Most of the researchers have been applied soft computing techniques for making effective decision over the network dataset for enhancing the detection accuracy in Intrusion Detection System. Few researchers also applied artificial intelligence techniques along with data mining algorithms for making dynamic decision. This paper discusses about the number of intrusion detection systems that are proposed for providing network security. Finally, comparative analysis made between the existing systems and suggested some new ideas for enhancing the performance of the existing systems.
Volume: 7
Issue: 1
Page: 7-12
Publish at: 2018-03-01

Study of Absorption Loss Effects on Acoustic Wave Propagation in Shallow Water Using Different Empirical Models

10.11591/ijaas.v7.i1.pp1-6
Yasin Yousif Al-Alaboosi , Jenan Abdulkhalq Al-Aboosi
Efficient underwater acoustic communication and target locating systems require detailed study of acoustic wave propagation in the sea. Many investigators have studied the absorption of acoustic waves in ocean water and formulated empirical equations such as Thorp’s formula, Schulkin and Marsh model and Fisher and Simmons formula. The Fisher and Simmons formula found the effect associated with the relaxation of boric acid on absorption and provided a more detailed form of absorption coefficient which varies with frequency. However, no simulation model has made for the underwater acoustic propagation using these models. This paper reports the comparative study of acoustic wave absorption carried out by means of modeling in MATLAB. The results of simulation have been evaluated using measured data collected at Desaru beach on the eastern shore of Johor in Malaysia. The model has been used to determine sound absorption for given values of depth (D), salinity (S), temperature (T), pH, and acoustic wave transmitter frequency (f). From the results a suitable range, depth and frequency can be found to obtain best propagation link with low absorption loss.
Volume: 7
Issue: 1
Page: 1-6
Publish at: 2018-03-01

Integration of Reversing Voltage Multilevel Inverter Topology with High Voltage Gain boost Converter for Distributed Generation

10.11591/ijpeds.v9.i1.pp210-219
S. Nagaraja Rao , D. V. Ashok Kumar , Ch. Sai Babu
The conventional energy sources available to us are on the verge of depletion. This depletion of conventional energy source leads to concentrate more on alternative energy sources. In this research, the focus is on the role of renewable energy sources (RES) in electrical power generation. Even though, the RES based plants produce power, we cannot directly connect it to the grid or loads. Because, the voltage ratings and nature supply of RES plants would not match with the load. Hence, this is a major issue for connecting RES plants to load or other utility. The power electronic converters are extensively being used as a link between load and supply. As most of the renewable energy power generation is DC in nature, the DC-DC converter is used to increase the voltage level and this DC must be converted to AC for grid connection. Therefore, inverters are used for DC to AC conversion. In this paper, the DC supply of renewable energy is connected to load by using cascade DC-DC converters along with a proposed reversing voltage (RV) multilevel inverter (MLI). The first DC-DC converter is used to enhance the voltage level with high gain and second converter is used to split the DC supply for inverter convenience. In this paper, proposed RV symmetrical and asymmetrical MLI generates 7, 9, 11, 13 and 15 levels with only ten power switches. In-phase level-shifted triangular carrier type sine pulse width modulation (PWM) technique is employed to trigger the commutating switches of proposed RV MLI. Switches of H-Bridge for reverse voltage appearance across the load are triggered by simple pulse generator. The circuits are modeled and simulated in MATLAB/SIMULINK software. Results are presented and discussed.
Volume: 9
Issue: 1
Page: 210-219
Publish at: 2018-03-01

Optimal Bidding and Generation Scheduling of Utilities Participating in Single Side Auction Markets Including Ancillary Services

10.11591/ijaas.v7.i1.pp46-53
B. Rampriya
This paper presents the solution for the supplier’s profit maximization problem with unit commitment decisions participating in single side auction markets of a deregulated power system. The bids from market participants are received by a central pool mechanism and the Market Clearing Price (MCP) for energy and spinning reserve is fixed. The bid quantities are optimized using Differential Evolution (DE) algorithm. The supplier aims to achieve (more) profit than that of the rival’s participating in the competition. A GENCO with 6-unit participating in 24-hour day ahead energy and spinning reserve market is used to illustrate the methodology. The bidding parameters of rival’s participating in the competition are calculated by multi-variant Probability Density Functions (PDF). The results of the proposed methodology are compared with Refined Genetic Algorithm (RGA). Numerical results illustrate the effectiveness of the method in solving the supplier profit maximization problem.
Volume: 7
Issue: 1
Page: 46-53
Publish at: 2018-03-01

Harmonic Comparison of Three Phase Direct Matrix Converter for Reactive Load with Balance and Unbalance Supply Voltage

10.11591/ijpeds.v9.i1.pp345-356
Kandasamy K.V , Sarat Kumar Sahoo
This paper presents harmonic analysis of matrix converter using different control technique for balance and Unbalance three phase input voltage of reactive load. Since Matrix converter is subject to affected either by external disturbance or by load conditions. Due to this the supply voltage becomes unbalance. This cause improper switching of matrix converter results higher harmonics. This harmonics are harmful to the quality of the output power. The switching sequence of the matrix converter is controlled by vector control method. Different control technique is proposed in this paper to get optimized result with reduced harmonic for unbalanced and balance input voltage using PID, Fractional Order PID (PIλDδ) controller (FOPID), Particle Swarm Optimization (PSO)FOPID. PID control technique result are compared with other optimization technique for best optimum output. The FOPID controller is used to compensates the current and also improvise the quality of energy by reducing the harmonic content. The simulations and hardware results will be presented and interpreted. The effectivess of the proposed system is proven with the results is shown in this paper which produce a better steady state lesser transient rather than the conventional PID method.
Volume: 9
Issue: 1
Page: 345-356
Publish at: 2018-03-01

Data Partitioning in Mongo DB with Cloud

10.11591/ijaas.v7.i1.pp21-28
Aakanksha Jumle , Swati Ahirrao
Cloud computing offers various and useful services like IAAS, PAAS SAAS for deploying the applications at low cost. Making it available anytime anywhere with the expectation to be it scalable and consistent. One of the technique to improve the scalability is Data partitioning. The alive techniques which are used are not that capable to track the data access pattern. This paper implements the scalable workload-driven technique for polishing the scalability of web applications. The experiments are carried out over cloud using NoSQL data store MongoDB to scale out. This approach offers low response time, high throughput and less number of distributed transaction. The results of partitioning technique is conducted and evaluated using TPC-C benchmark.
Volume: 7
Issue: 1
Page: 21-28
Publish at: 2018-03-01

SLIC Superpixel Based Self Organizing Maps Algorithm for Segmentation of Microarray Images

10.11591/ijaas.v7.i1.pp78-85
Durga Prasad Kondisetty , Mohammed Ali Hussain
We can find the simultaneous monitoring of thousands of genes in parallel Microarray technology. As per these measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, Intensity extraction, Enhancement and Segmentation are important steps in microarray image analysis. This paper gives simple linear iterative clustering (SLIC) based self organizing maps (SOM) algorithm for segmentation of microarray image. The clusters of pixels which share similar features are called Superpixels, thus they can be used as mid-level units to decrease the computational cost in many vision applications. The proposed algorithm utilizes superpixels as clustering objects instead of pixels. The qualitative and quantitative analysis shows that the proposed method produces better segmentation quality than k-means, fuzzy c-means and self organizing maps clustering methods.
Volume: 7
Issue: 1
Page: 78-85
Publish at: 2018-03-01
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