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25,002 Article Results

Probabilistic Road-Aware Geocast In VANETs

10.11591/ijece.v5i3.pp599-610
Zubair Amjad , Wang-Cheol Song
Geocast is a communication technique to disseminate information in specific geographic regions instead of node addresses. Traffic congestion, accidents, local hazards and digital content sharing are potential use cases of information sharing in VANETs. Recently, several approaches for geocast routing have been proposed to achieve high delivery ratios. These approaches consider a center point and radius to define the destination region also called geocast region. They focus only on routing scheme to enhance the delivery ratio and delays. However, these approaches do not consider the target region selection problem in the geocast routing. In this paper, we propose a novel application-level mechanism for sharing road conditions, such as accidents, detours and congestion in VANETs through probabilistic road-aware geocast routing. We assign probabilities to the roads around each intersection in the neighborhood road network of the source vehicle. We then build a spanning tree of roads (from graph representation of the road network) with information source as the root node. Nodes below the root represent junctions and edges represent inter-connecting road segments. Messages propagate along the branches of the spanning tree. The spanning tree represents the geocast region. As the information propagates down the branches, probability of road as geocast region decreases. Information is propagated until a threshold probability is reached. Our method also ensures that messages are not delivered to irrelevant vehicles irrespective of their proximity to the source. We evaluate our application through extensive and realistic simulations in ns-3 simulator using IDM car following and MOBIL lane change models for realistic modeling of vehicle mobility.
Volume: 5
Issue: 3
Page: 599-610
Publish at: 2015-06-01

An Review of Power Factor Correction in SRM Drives Using Bridgeless Converters

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1496
M. Vishvanath , R. Balamurugan
This paper deals with a comparative analysis of various converter topologies for Power Factor Correction (PFC) in switched reluctance motor drives. Hence a power factor corrected converter required for obtaining the improved PQ at the AC mains for an inverter fed SRM drive has been analyzed. The SRM when fed by a DBR with a high value of DC-link capacitor results in highly distorted supply current and a poor power factor. A new bidirectional bridgeless LUO converter is used. The bridgeless LUO converter is a mixture of two dc-dc converters with one or two semiconductor switches in the current flowing path thereby reducing the current stresses in the active and passive switches. Circuit efficiency is further improved as compared to conventional Converters. LUO converters are new series of DC/DC Converters that have very low ripple of voltage and current and have output wave with high quality, high transfer voltage gain and high power density. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7781 
Volume: 14
Issue: 3
Page: 441-445
Publish at: 2015-06-01

Wireless Sensor Networks Node Localization-A Performance Comparison of Shuffled Frog Leaping and Firefly Algorithm in LabVIEW

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1504
Chandirasekaran D , T. Jayabarathi
Wireless sensor networks (WSN) have become popular in many applications area including environmental monitoring, military and offshore oil & gas industries. In WSN the sensors are randomly deployed in the sensor field and hence estimation of the localization of each deployed node has drawn more attention by the recent researchers, It’s a unique problem to identify and maximizing the coverage where the sensors need to be placed in a position so that the sensing capability of the network is fully utilized to ensure high quality of service. In order to keep the cost of sensor networks to a minimum, the use of additional hardware like global positioning system (GPS) can be avoided by the use of effective algorithms that can be used for the same. In this paper we attempted to use both the shuffled frog leaping (SFLA) and firefly algorithms (FFA) to estimate the optimal location of randomly deployed sensors. The results were compared and published for the usefulness of further research. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7861
Volume: 14
Issue: 3
Page: 516-524
Publish at: 2015-06-01

Sensor Node Easy Moving Monitoring Region Location Algorithm in Internet of Things

10.12928/telkomnika.v13i2.1434
Donghua; Wuhan University of Technology Feng , Yahong; Nanyang Institute of Technology Li
Because of the influence from geographical location, weather and other kinds of circumstances in monitored areas, the shift of the node location and non-uniform distribution, this paper proposed an improved DV-Hop location algorithm. First of all, the package structure by changing the anchor nodes to reduce the number of hops data acquisition phase node data storage; introducing weights to the average hop distance calculation phase the original average hop distance calculation method was improved, and between the node and anchor node distance calculated on the basis of reference anchor nodes are different; then, iterative refinement of node localization stage through the use of multilateral measurement method and Taylor series. Finally, simulation experiment of this method, and compared with the existing methods, the results prove that the method in this paper can greatly reduce positioning errors without adding hardware equipment and network traffic, improve the positioning accuracy, a better solution to the problem of node localization networking monitoring area.
Volume: 13
Issue: 2
Page: 703-710
Publish at: 2015-06-01

Optimization of Sensor Network Topology in Deployed in Inhomogeneous Lossy Media

10.12928/telkomnika.v13i2.961
Rony; University of Palangkaraya Teguh , Hajime; Hokkaido University Igarashi
This paper presents optimization of wireless sensor network (WSN) topology for forest fire detection. The sensors for this purpose are deployed in forest, grassland and open space, which have different attenuation properties in electromagnetic waves. For this reason, routers which receive signals from sensors and send them to the base station must be deployed considering these differences. In this work, we develop an optimization method for WSN topology based on simulated annealing considering the differences in the attenuation property. The vegetation data are taken from Landsat data. Using the present method, the necessary number of routers for full connection of the sensors deployed in diverse, irregular environments can be estimated.
Volume: 13
Issue: 2
Page: 469-477
Publish at: 2015-06-01

Sampling Deviation Real-time Calibration Method for Wideband Simulator

10.12928/telkomnika.v13i2.1470
Song; Nanjing University of Aeronautics and Astronautics Bingbing , Pan; Nanjing University of Aeronautics and Astronautics Minghai , Hu; Nanjing University of Aeronautics and Astronautics Xiaohua
Hardware-in-the-loop simulation is an efficient method for research on radar system.Target’s echo which offered by the simulator should be synchronized with radar on frequency, time, and range bin. However, because simulator needs to take into account of the requirements of various types of radar, it is difficult to make the clock of simulator synchronized with the clock of radar. To solve the problem, synchronous sampling deviation model is established. Influence of sampling deviation on imaging is analyzed. An engineering method is put forward to eliminate the sampling deviation. This method not only provides a reference for simulation system, but also provides a reference for the design of radar system.
Volume: 13
Issue: 2
Page: 510-517
Publish at: 2015-06-01

Integrated System Design for Broadcast Program Infringement Detection

10.12928/telkomnika.v13i2.1124
Sukmawati Nur; Diponegoro University Endah , Satriyo; Diponegoro University Adhy , Sutikno; Diponegoro University Sutikno
Supervision of television and radio broadcast programs by the “Komisi Penyiaran Indonesia (KPI)” Central Java was still performed manually i.e. direct supervision by humans. It certainly had some weaknesses related to the human error such as tiredness and weary eyes. Therefore, we needed intelligent software that could automatically detect broadcast infringement. Currently, research in this area had not been studied. This research was to design an integrated system to detect broadcast infringement including data design, architecture design and main module interface design. Two main stages in this system are the Indonesian language speech recognition and detection of infringements of the broadcast program. With the method of Mel Frequency cepstral Coefficients (MFCC) and Hidden Markov Model (HMM) speech recognition application that used the 1050 sample data produces about 70% accuracy rate. This research would continue to implement the plan that had been created using speech recognition applications that had been built.
Volume: 13
Issue: 2
Page: 571-577
Publish at: 2015-06-01

Spectrum Sensing Based on Monostable Stochastic Resonance in Cognitive Radio Networks

10.12928/telkomnika.v13i2.1429
Yonghua; South China University of Technology Wang , Pin; Guangdong University of Technology Wan , Qin; Guangdong University of Technology Deng , Yuli; China University of Technology Fu
The cognitive radio technology can provide dynamic spectrum access and improve the efficiency of spectrum utilization. Spectrum sensing is one of the key technologies of cognitive radio networks. The spectrum sensing performance of cognitive radio networks will be greatly reduced in the low SNR environment, especially when using energy detection. Due to the monostable stochastic resonance system can improve the energy detection system output SNR, a monostable stochastic resonanceis applied to spectrum sensing based on the energy detection method of cognitive radio networks in this paper. The simulation results show that in the low SNR environment, when the false alarm probability is constant, the proposed spectrum sensing based on monostable stochastic resonance has better performance than traditional energy detection.
Volume: 13
Issue: 2
Page: 487-493
Publish at: 2015-06-01

Fuzzy Logic PSS Assisted by Neighboring Signals to Mitigate the Electromechanical Wave Propagation in Power Systems

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1487
Mahmoud N. Ali
This paper deals with the mitigation of electromechanical wave propagation in power systems. Different conventional controllers addressed this problem, such as the conventional PSS and the conventional fuzzy logic PSS. In this paper, the fuzzy logic PSS is assisted by auxiliary signals from the fuzzy logic PSS of the interconnected machines to augment the damping of electromechanical wave propagation and the associated oscillations. The neighboring machines speed deviation and its derivatives signals are exploited through the fuzzy logic PSS to assist the local fuzzy logic PSS. The disturbance propagation and reflection phenomena are considered in the design of the adopted strategy. The efficacy of the proposed assistance of the conventional fuzzy logic PSS are examined through different simulation results. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7837
Volume: 14
Issue: 3
Page: 363-375
Publish at: 2015-06-01

Stator Field-Orientation Speed Control for 3-Phase Induction Motor under Open-Phase Fault

10.12928/telkomnika.v13i2.1441
Mohammad; Universiti Teknologi Malaysia Jannati , Tole; Universitas Ahmad Dahlan Sutikno , Nik Rumzi; Universiti Teknologi Malaysia Nik Idris , Mohd Junaidi; Universiti Teknologi Malaysia Abdul Aziz
The industrial requirements for the control of an Induction Motor (IM) under fault conditions continue to be of attention, as evidenced by the majority current publications. The focus is on developments of control methods which can be used for faulty IM. A novel vector control technique based on Stator Field-Oriented Control (SFOC) for a 3-phase IM under open-phase fault is proposed in this paper. MATLAB simulation results are presented to illustrate the improvement in performance of the proposed algorithm.
Volume: 13
Issue: 2
Page: 432-441
Publish at: 2015-06-01

Analysis and Simulation on Torque Ripples of Brushless DC Motor

10.12928/telkomnika.v13i2.991
Qian; University of Shanghai for Science and Technology Weikang , Shi; University of Shanghai for Science and Technology Yutao
Because of its small size, high reliability, efficiency, and its output torque characteristics, brushless DC motor (BLDCM) had been widely used in many field of robotics, precision instruments and equipment, etc. However, its inherent electromagnetic torque ripple limited the scope of its application, which was the focus and difficulty of its research in recent years. This article first described the causes of brushless DC motor torque ripple, and then torque ripple generated by four PWM modulations was analyzed to get optimum control scheme, finally the MATLAB / SIMULINK simulation model verified the analysis of the results. This paper provided the most intuitionistic exhibition.
Volume: 13
Issue: 2
Page: 381-390
Publish at: 2015-06-01

Application of Single MEMS-accelerometer to Measure 3-axis Vibrations and 2-axis Tilt-Angle Simultaneously

10.12928/telkomnika.v13i2.1490
Didik R.; Division of Instrumentation, Physics Department, Brawijaya University. Santoso , Sukir; Division of Geophysics, Physics Department, Brawijaya University. Maryanto , Ahmad; Division of Instrumentation, Physics Department, Brawijaya University. Nadhir
This paper discusses a technique of developing an integrated sensor system, to measure the mechanical vibrations in 3-axis and the tilt-angle in 2-axis simultaneously, using only single MEMS-accelerometer. Type of MEMS-accelerometer that used in this experiment is MMA7361L, which is an analog-type acceleration sensor in the form of MEMS, with a maximum sensitivity of 800 mV/g. The MMA7361L has three outputs of voltage (Vx, Vy, Vz) in response to the acceleration value "g" of each working-axis corresponding vibrating (gx, gy, gz). By using certain techniques in the design of signal conditioning circuits, then the MMA7361L can be used to detect parameters of the vibration in 3-axis and the tilt-angle in 2-axis at the same time, simultaneously. To accommodate five output signal of the sensor system, used a data acquisition system that was built based on PIC16F876 microcontroller, which are already contained five internal ADC with 10 bits resolution. Thus, the resulting integrated sensor system becomes very simple, minimal components, and inexpensive. The experimental results show that the developed integrated sensor system has capability to measure the 3-axis vibrations and the 2-axis tilt-angle, with fairly good accuracy.
Volume: 13
Issue: 2
Page: 442-450
Publish at: 2015-06-01

A Novel Topology for Controlling a Four Port DC-DC Boost Converter for a Hybrid PV/PV/Battery Power System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1497
Dharani M , Usha P.V.
This paper proposes a four port three input-dc-dc boost converter for hybridising two photovoltaic systems and a storage medium. Three unidirectional ports are utilised to interface the converter with the two input sources and the output load. A bidirectional port interfaces the converter with the storage system. The two sources individually or simultaneously supply the load and charge the battery. The proposed technique employs only four independently controlled switches with different duty ratios. The regulated dc output can be obtained by controlling these four switches and tracking the maximum power of the two photovoltaic systems. Three different modes of operation of converter influenced by the state of battery are presented. The proposed system is validated and verified by simulation performed in MATLAB under various operating conditions. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7854
Volume: 14
Issue: 3
Page: 446-454
Publish at: 2015-06-01

Effect of Underlap and its Soft Error Performance in 30 nm Junctionless-based 6T-SRAM Cell

10.12928/telkomnika.v13i2.1298
Chitra; VIT University Pandy , Ramakrishnan; VIT UNIVERSITY Narayanan
As CMOS device is scaling down significantly, the sensitivity of Integrated Circuits (ICs) to Single Event Upset (SEU) radiation increases. The Sensitivity of ICs to  soft errors emerge as reliability threat which motivates  significant interest in the development of various techniques both at the device and circuit level for SEU hardness in SRAM memories. To facilitate the scaling the concept of underlap Gate-Source/Drain (G-S/D) was suggested in the literature. Lun is one of the sensitive geometrical parameter considered to differ from 1 nm to 5 nm in a SEU radiating environment. The effect of Gate-Source/Drain underlap (Lun) on soft error performance in 30 nm Junctionless Transistor (JLT) based on 6T-SRAM cell has been examined through extensive mixed mode-device and circuit simulations using TCAD. The critical dose observed in JLT based 6T-SRAM with Lun ranging from 1 nm to 5 nm to flip the cell is given by Linear Energy Transfer (LET) between 0.05 to 0.06 pC/µm. The simulation result analyzes electrical and SEU radiation parameters to study its impact on JLT based 6T-SRAM cell.
Volume: 13
Issue: 2
Page: 451-459
Publish at: 2015-06-01

Image Denoising Based on Artificial Bee Colony and BP Neural Network

10.12928/telkomnika.v13i2.1433
Junping; Henan Vocational and Technical Institute Wang , Dapeng; Henan Vocational and Technical Institute Zhang
Image is often subject to noise pollution during the process of collection, acquisition and transmission, noise is a major factor affecting the image quality, which has greatly impeded people from extracting information from the image. The purpose of image denoising is to restore the original image without noise from the noise image, and at the same time maintain the detailed information of the image as much as possible. This paper, by combining artificial bee colony algorithm and BP neural network, proposes the image denoising method based on artificial bee colony and BP neural network (ABC-BPNN), ABC-BPNN adopts the “double circulation” structure during the training process, after specifying the expected convergence speed and precision, it can adjust the rules according to the structure, automatically adjusts the number of neurons, while the weight of the neurons and relevant parameters are determined through bee colony optimization. The simulation result shows that the algorithm proposed in this paper can maintain the image edges and other important features while removing noise, so as to obtain better denoising effect.
Volume: 13
Issue: 2
Page: 614-623
Publish at: 2015-06-01
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