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28,451 Article Results

Tree Based Energy Balancing Routing Protocol by Self Organizing in Wireless Sensor Networks

10.11591/ijece.v5i6.pp1486-1491
Syed Umar , P.V.R. D Prasada Rao , Sridevi Gutta
Today the wireless sensor networks (WSN) play a crucial role in wireless technology in various domains like military, medicine, communications etc. The energy conservation is the crucial factor in the WSN. The WSN is a system which has more number of nodes in which various sensors are fabricated on the nodes to monitor various factors of the given task. These nodes will form a network by connecting the one to other for the effective communication between the nodes, and sends the whole information to the base station (BS). As the nodes which we use for the WSN are of low cost and are battery operated. The main drawback is replacement of the battery in the WSN. The main goal is to conserve the energy consumption in WSN and also to balance the load on WSN. For this many protocols are designed like LEACH, PEGASIS, PEDAP, etc. in those balancing the load and time delayed. some drawbacks are there. So we proposed a protocol so called “Tree Based Energy Balancing routing Protocol by Self Organizing” (TEBRSO), in which instead of routing tables a routing tree will be used for routing from nodes to base station (BS), which chooses one root/control node for the broadcasting messages to the selected sensor nodes. By this protocol we can save the energy consumption in WSN and can extend the life time of it. The performance of this protocol is better when we compare with other energy saving protocols.
Volume: 5
Issue: 6
Page: 1486-1491
Publish at: 2015-12-01

An Efficient Face Recognition Using SIFT Descriptor in RGB-D Images

10.11591/ijece.v5i6.pp1227-1233
M. I. Ouloul , Z. Moutakki , K. Afdel , A. Amghar
Automatic face recognition has known a very important evolution in the last decade, due to its huge usage in the security systems. The most of facial recognition approaches use 2D image, but the problem is that this type of image is very sensible to the illumination and lighting changes. Another approach uses the 3D camera and stereo cameras as well, but it’s rarely used because it requires a relatively long processing duration. A new approach rise in this field, which is based on RGB-D images produced by Kinect, this type of cameras cost less and it can be used in any environment and under any circumstances. In this work we propose a new algorithm that combines the RGB image with Depth map which is less sensible to illumination changes. We got a recognition rate of 96, 63% in rank 2.
Volume: 5
Issue: 6
Page: 1227-1233
Publish at: 2015-12-01

Nodes Deployment Scheme of Heterogeneous Wireless Sensor Network Based on Organic Small Molecule Model

10.11591/ijeecs.v16.i3.pp574-582
Juwei Zhang , Yu Wang , Yachuang Liu , Qiangyi Li
For nodes deployment of heterogeneous sensor network, based on different probability sensing models of heterogeneous nodes, refer to organic small molecule model, ‘class molecule’ sensing model of heterogeneous nodes is proposed. Combined with DSmT data fusion model, the changes of network coverage ratio after using the new sensing model and data fusion algorithm is studied. According to the research results, the node-deployment strategy of heterogeneous sensor networks based on organic small molecule model (NHOS) is proposed. Sensor network simulation model is established using MATLAB software, the results show the effectiveness of the algorithm, the coverage of network and detection efficiency of nodes are improved, the lifetime of network is prolonged, energy consumption and the number of deployment nodes is reduced, and the scope of perceiving is expanded. As a result, NHOS can improve the detection performance of the network.
Volume: 16
Issue: 3
Page: 574-582
Publish at: 2015-12-01

A Neuro-fuzzy Approach for Predicting Load Peak Profile

10.11591/ijece.v5i6.pp1304-1310
Abdellah Draidi , Djamel Labed
Load forecasting has many applications for power systems, including energy purchasing and generation, load switching, contract evaluation, and infrastructure development. Load forecasting is a complex mathematical process characterized by random data and a multitude of input variables.To solve load forecasting, two different approaches are used, the traditional and the intelligent one.Intelligent systems have proved their efficiency in load forecasting domain. Adaptive neuro-fuzzy inference systems (ANFIS) are a combination of two intelligent techniques where we can get neural networks and fuzzy logics advantages simultaneously. In this paper, we will forecast night load peak of Algerian power system using multivariate input adaptive neuro-fuzzy inference system (ANFIS) introducing the effect of the temperature and type of the day as input variables.
Volume: 5
Issue: 6
Page: 1304-1310
Publish at: 2015-12-01

Transmission protocols in Cognitive Radio Mesh Networks

10.11591/ijece.v5i6.pp1446-1451
Anusha M , Srikanth Vemuru , T Gunasekhar
A Cognitive Radio (CR) is a radio that can adjust its transmission limit based on available spectrum in its operational surroundings. Cognitive Radio Network (CRN) is made up of both the licensed users and unlicensed users with CR enable and disabled radios. CR’S supports to access dynamic spectrum and supports secondary user to access underutilized spectrum efficiently, which was allocated to primary users. In CRN’S most of the research was done on spectrum allocation, spectrum sensing and spectrum sharing. In this literature, we present various Medium Access (MAC) protocols of CRN’S. This study would provide an excellent study of MAC strategies.
Volume: 5
Issue: 6
Page: 1446-1451
Publish at: 2015-12-01

Narx Based Short Term Wind Power Forecasting Model

10.11591/ijai.v4.i4.pp129-138
M. NANDANA JYOTHI , V. DINAKAR , N. S S RAVI TEJA
This paper contributes a short-term wind power forecasting through Artificial Neural Network with nonlinear autoregressive exogenous inputs (NARX) model. The meteorological parameters like wind speed, temperature, pressure, and air density are considered as input parameters collected from KL University area and the calculated generated power as output parameters of neural network to predict the wind power generation. Based on hybrid forecasting technique a code is developed in MATLAB at different hidden layers and delay times.
Volume: 4
Issue: 4
Page: 129-138
Publish at: 2015-12-01

Efficiency Optimized Brushless DC Motor Drive based on Input Current Harmonic Elimination

10.11591/ijpeds.v6.i4.pp869-875
Tridibesh Nag , Arijit Acharya , Debashis Chatterjee , Ashoke Kumar Ganguli , Arunava Chatterjee
This paper describes efficiency improvement of a position sensorless brushless DC (BLDC) motor with improved PWM scheme for the inverter compared to existing ones. This is based on Selective Harmonic Elimination (SHE). The proposed method reduces total harmonic distortion (THD) from the input current and armature flux and thereby reducing the core losses. The effectiveness of the proposed scheme is demonstrated through simulation and experimental results.
Volume: 6
Issue: 4
Page: 869-875
Publish at: 2015-12-01

A Smart Management Approach Investigation for Hybrid Autonomous Power System

10.11591/ijece.v5i6.pp1275-1283
Nasri Sihem , Ben Slama Sami , Cherif Adnane
A novel design of system management based on multi-agents approach applied to an autonomous hybrid power system is proposed and investigated. The system under study integrates few elements, some serve to provide power requirements, while the others used to store energy. Among these items, we can mention a Solar Power Source namely (SPS) which works as primary source to feed a DC electric load. The system integrates also a secondary power source namely Power Recovery Source (PRS) based on a fuel cell technology used to compensate the power deficit if required. More than two kinds of energy storage, the first called Hydrogen Generation Element (HGE) including a water electrolyzer to store the energy in hydrogen form, while the second uses an Ultracapacitor Element (UE) to store the energy in its electrical form. To reach the well functioning of the system in order to satisfy the load requirements whatever the facts, an intelligent energy management approach based on multi-agent modeling is implemented and verified. Hence, the reliability and the effectiveness of the applied management strategy, which allows the coordination between the different energy sources and protects the system against any fluctuation, are proved by the obtained results from Matlab/Simulink.
Volume: 5
Issue: 6
Page: 1275-1283
Publish at: 2015-12-01

Geographical Forwarding Methods in Vehicular Ad hoc Networks

10.11591/ijece.v5i6.pp1407-1416
Kashif Naseer Qureshi , Abdul Hanan Abdullah , Anwar Mirza , Raja Waseem Anwar
Vehicular ad hoc networks are new and emerging technology and special class of mobile ad hoc networks that provide wireless communication between vehicles without any fixed infrastructure. Geographical routing has appeared as one of the most scalable and competent routing schemes for vehicular networks. A number of strategies have been proposed for forwarding the packets in geographical direction of the destination, where information of direct neighbors is gained through navigational services. Due to dynamically changing topologies and high mobility neighbor information become outdated. To address these common issues in network different types of forwarding strategies have been proposed. In this review paper, we concentrate on beaconless forwarding methods and their forwarding methods in detail.
Volume: 5
Issue: 6
Page: 1407-1416
Publish at: 2015-12-01

Implementing Syntax Evolution of Embedded Systems

10.11591/ijece.v5i6.pp1525-1535
Sasi Bhanu Jammalamadaka , Vinaya Babu A , Trimurthy P
Safety critical systems such as nuclear recator systems cannot be shutdown as restrating is a huge process and incurs heavy cost.  The embedded systems which are used for monitoring and controlling the safety critival systems cannot be shut down as well. ES systems which drives safety critical systems must be communicated from remote locations generally through a HOST connected on to Internet. Communication between the HOST and ES system is done using commnd lanaguage which has to be evolved from time to time.  The chnage to the commnd lanauage must be undertaken while the embedded system is up and running, the evolution thus must be dynamic. Many architetcuers have been propsoed in the lieteratuer for evolving  synatx of command lanaguage.The implemntaion of effcient architetcuer as such has not been found in the literatuer without which existing architetcuer as such has no menaing.The paper presntes a set of methods using which the syntax evolution of embedded systems as such can be achived. The synatx evolution methods have been applied to a safety critical system that monitors and controls tempartuers within a Nuclear recator system.
Volume: 5
Issue: 6
Page: 1525-1535
Publish at: 2015-12-01

Unknown Input Observer for a Doubly Fed Induction Generator Subject to Disturbances

10.11591/ijpeds.v6.i4.pp781-787
Samir Abdelmalek , Linda Barazane , Abdelkader Larabi
This paper deals with the problem design of an unknown input observer (UIO) for a Doubly Fed Induction Generator (DFIG) subject to disturbances. These disturbances can be considered as unknown inputs (UI). The state space model of the DFIG is obtained from the voltage equations of the stator and rotor. Then, this latter is used for the design of an unknown input observer (UIO) in order to estimate both the state and the unknown inputs of the DFIG. Furthermore, the UIO gains are computed by solving a set of linear matrix inequalities (LMIs). Simulations results are given to show the performance and the effectiveness of the proposed method.
Volume: 6
Issue: 4
Page: 781-787
Publish at: 2015-12-01

A Review on Voltage Balancing Solutions in Multilevel Inverters

10.11591/ijeecs.v1.i1.pp53-59
M. Ranjitha , S. Ravivarman
Multilevel inverters are used in high power and medium voltage applications. Employing multilevel inverter with renewable energy alone, the voltage balance cannot be made because the number of level increases in multilevel inverter the control gets complexity. So voltage imbalance problems are introduced. The voltage imbalance problems can be classified into two types; Midpoint unbalance and the central capacitor discharge. These problems can be solved by using voltage balancing solutions. The solutions are hardware based; software based, and combined solutions. By using these types of solutions the voltage balancing problems can be solved and the efficiency of multilevel inverter could be high. This paper reviews about various voltage balancing solutions in multilevel inverter.
Volume: 1
Issue: 1
Page: 53-59
Publish at: 2015-11-30

Localization schemes in Underwater Sensor Network (UWSN): A Survey

10.11591/ijeecs.v1.i1.pp119-125
Mukhtiar Ahmed , Mazleena Salleh
Underwater Wireless Sensor Networks (UWSNs) is much more attractive area for the researchers due to its versatile applications like tactical surveillance, assisted navigation, equipment monitoring, oceanography data collection, pollution monitoring, offshore exploration, disaster prevention and seismic monitoring. The researchers are also collecting the scientific data from underwater environment for observing mission. Due to the continuous node movement in underwater environment creates the majority of the problems for localization. Localization is one of the major issues in underwater environment. This survey paper focuses the different valuable localization schemes which focus the open issues and challenges for researchers. 
Volume: 1
Issue: 1
Page: 119-125
Publish at: 2015-11-30

A Hybrid the Nonsubsampled Contourlet Transform and Homomorphic Filtering for Enhancing Mammograms

10.11591/ijeecs.v16.i3.pp539-545
Khaddouj Taifi , Rachid Ahdid , Mohamed Fakir , Said Safi
Mammogram is important for early breast cancer detection. But due to the low contrast of microcalcifications and noise, it is difficult to detect microcalcification. This paper presents a comparative study in digital mammography image enhancement based on three different algorithms: homomorphic filtering, unsharp masking and our proposed methods. This latter use a hybrid method Combining contourlet and homomorphic filtering. Performance of the given technique has been measured in terms of distribution separation measure (DSM), target-to-background enhancement measure based on standard deviation (TBES) and target-to-background enhancement measure based on entropy (TBEE). The proposed methods were tested with the referents mammography data Base MiniMIAS. Experimental results show that the proposed method improves the visibility of microcalcification.
Volume: 16
Issue: 3
Page: 539-545
Publish at: 2015-11-08

Analytical Modeling and Simulation of SAW Filter Using Concave

10.11591/ijeecs.v16.i3.pp495-501
M. M. Elsherbini , M. F. Elkordy , A. M. Gomaa
A Simple novel tool has been developed to model and simulate SAW filter devices. GNU Concave; Freeware tool with open source coding has been used to specify a basic model for SAW delay lines and filters. This paper presents a way for obtaining the essential parameters of design and development of SAW devices as insertion loss. Other parameters were also predicted by within the reseach work like the radiation conductance, susceptance, Impedance, Admetance and the Frequency Response. They all calculated and plotted using Mathmatical equations drived from an equivalent model used to simulate our target. A comparision between the simulated device and an experimental puplished one has been achieved.
Volume: 16
Issue: 3
Page: 495-501
Publish at: 2015-11-08
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