Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

25,002 Article Results

Unambiguous Acquisition for Galileo E1 OS Signal Based on Delay-And-Multiply

10.12928/telkomnika.v12i4.530
Deng; Beijing University of Posts and Telecommunications Zhongliang , Xi; Beijing University of Posts and Telecommunications Yue , Jiao; Beijing University of Posts and Telecommunications Jichao , Yin; Beijing University of Posts and Telecommunications Lu
Galileo E1 Open Service (OS) signal is transmitted with the modulation of Composite Binary Offset Carrier (CBOC). CBOC has a main drawback that is the autocorrelation function has multiple side-peaks, which will lead to ambiguous acquisition. The high rate of data bit and secondary code makes it very difficult to increase coherent integration time. This paper will propose a new scheme based on the delay-and-multiply concept. And also this scheme combines the data channel and pilot channel. Finally, the theoretical results will be given to prove that the new scheme will accomplish unambiguous acquisition and also eliminate the influence of bit transition.
Volume: 12
Issue: 4
Page: 950-962
Publish at: 2014-12-01

Development of Wireless Electric Field Mill for Atmospheric Electric Field Observation

10.12928/telkomnika.v12i4.977
Muhammad Abu; Universiti Teknologi Malaysia Bakar Sidik , Hamizah; Universiti Teknologi Malaysia Shahroom , Zolkafle; Universiti Teknologi Malaysia Buntat , Yanuar; Universiti Teknologi Malaysia Zulardiansyah Arief , Zainuddin; Universitas Sriwijaya Nawawi , Muhammad; Universitas Sriwijaya Irfan Jambak
Rotating-vane electric field mill (REFM) sensor is one of the popular methods to measure atmospheric quasi-static electric field. Lightning incident occasion can be predicted by observing electric fields strength in atmosphere. In this paper an integration of REFM with an online wireless data monitoring system for long distance observation and data collection is presented. This method reduces the required man-hour to gather data from the REFM as well as system costs by removing the computer and data logger on-site. The development includes hardware and software design in order to improve efficiency the atmospheric electric field measurement system. The contribution of this work is the design of the electronic circuit which converts the ac signal from the REFM sensor to dc signal and then correlates the signal to the electric field strength in the vicinity. Subsequently the information is transmitted via a wireless data transmission system, using the Global System Mobile Communication (GSM) network. Using the proposed method, all the data from sensors can be observed and analysed immediately from any location.
Volume: 12
Issue: 4
Page: 1113-1122
Publish at: 2014-12-01

Resolution Improvement in Fabry-Perot Displacement Sensor Based on Fringe Counting Method

10.12928/telkomnika.v12i4.123
Nur Izzati; Universiti Teknologi Malaysia Ismail , Nor Hafizah; Universiti Teknologi Malaysia Ngajikin , Nor Fadzlina; Universiti Teknologi Malaysia Mohd Zaman , Maisarah; Universiti Teknologi Malaysia Awang , Asrul Izam; Universiti Teknologi Malaysia Azmi , Nik Noordini; Universiti Teknologi Malaysia Nik Abd. Malik , Norazan; Universiti Teknologi Malaysia Mohd Kassim
This paper presents an improved Fringe Counting Method (FCM) technique in order to enhance the displacement resolution of a Fabry-Perot Displacement Sensor (FPDS). A simulation model of a FPDS based on the improved FCM has been developed and simulated for nanometer displacement range by using MATLAB mathematical software. Unlike conventional FCM that analyzed the number of fringes produced over one time period, the improved FCM analyzed the number of fringes for one largest Free Spectral Range (FSR). In this work, the initial length of Fabry-Perot Interferometer (FPI) cavity has been set at 75 μm due to limitation of the machining precision equipment. For the displacement analysis, the improved FCM technique is used as an algorithm. The research results prove that this FPDS could detect displacement at 10nm resolution over a working range of 40 nm. It showed that the improved FCM technique managed to enhance the capability of the conventional FCM in detecting nanometer displacement. 
Volume: 12
Issue: 4
Page: 811-818
Publish at: 2014-12-01

Low Energy Adaptive Clustering Hierarchy Routing Protocol for Wireless Sensor Network

10.12928/telkomnika.v12i4.660
Veronica Windha; Atma Jaya University Mahyastuty , A. Adya; Atma Jaya Catholic University Pramudita
Wireless Sensor Network (WSN) is a network composed of many sensor nodes distributed in a region, and is used to monitor and gather information about certain phenomena in the physical environment. A sensor node typically has limited power, which must be taken into consideration in designing the routing protocol of a WSN. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this research, the performance of LEACH, namely energy consumption and lifetime is evaluated using NS-2. Simulation results show that the number of nodes and clusters affect the optimum number of clusters and the device lifetime, which in turn will affect the energy consumption level as well as the energy efficiency.
Volume: 12
Issue: 4
Page: 963-968
Publish at: 2014-12-01

Large Crowd Count Based on Improved SURF Algorithm

10.12928/telkomnika.v12i4.362
Haining; Xi'an Technology University Zhang , Huanbo; Xi'an Technology University Gao
This paper uses an analysis of Speeded up Robust Feature (SURF), based on the method of Linear Interpolation for camera distortion calibration, for high-density crowd counting. The eigenvalues are built on the Gray Level Co-occurrence Matrix (GLCM) features and the SURF features. Though the method of linear interpolation, weight values are interpolated to reduce the error, which is caused by camera distortion calibration. The optimized crowd’s feature vector can be got then. Through the method of support vector regression, the crowd’s number can be forecast by training model. The experiment result shows that the method of this paper has a higher accuracy than the previous methods.
Volume: 12
Issue: 4
Page: 865-874
Publish at: 2014-12-01

Step Responses of Tuned Conventional Controller for a Three Tank Liquid Filled System

10.11591/ijeecs.v12.i12.pp8161-8165
Kunal Chakraborty , Rahul Dev Basak , Dipak Kumar Dutta
In this paper modeling of a temperature measuring tank system has been done and then a tuned PID Controller have been used for controlling the step responses of the system. The proposed system extends to a three tank system & each tank has same amount of liquid. The results of computer simulation for the system with Proportional, Integral and Derivative (PID) Controllers are shown here using MATLAB( R2007b) software.
Volume: 12
Issue: 12
Page: 8161-8165
Publish at: 2014-12-01

Design of Fractional Order PID controller for dc motor using Genetic Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3930
Ashu Ahuja , Bhawna Tandon
Design of fractional order PID (FOPID) controller for DC motor is proposed in this paper. A FOPID (PIλDμ) is a PID controller whose derivative and integral orders are fractional numbers rather than integers. Design stage of such controller consists of determining six parameters – proportional constant (Kp), integral constant (Ki), derivative constant (Kd), filter time constant (τd), integral order (λ) and derivative order (μ). The proposed approach poses the problem as designing a DC motor speed controller on the concept of fixed structure robust controller and mixed sensitivity H∞ method. The uncertainty caused by the parameter changes of motor resistance, motor inductance and load are formulated as multiplicative uncertainty weight, which are used in the objective function in the design. Genetic Algorithm (GA) and Simulated Annealing (SA) are employed to carry out the aforementioned design procedure. Comparisons are made with a PID with derivative first order filter controller and it is shown that the proposed FOPID controller can highly improve the system robustness with respect to model uncertainties. The comparison of PID and FOPID controllers is also been done on the basis of Time Domain Performance index i.e. ISE (Integral of Square Error).  http://dx.doi.org/10.11591/telkomnika.v12i12.6470 
Volume: 12
Issue: 12
Page: 8140-8151
Publish at: 2014-12-01

Image Fuzzy Enhancement Based on Self-Adaptive Bee Colony Algorithm

10.12928/telkomnika.v12i4.534
Meng; Tibet University for Nationalities Lei , Yao; Tibet University for Nationalities Fan
In the image acquisition or transmission, the image may be damaged and distorted due to various reasons; therefore, in order to satisfy people’s visual effects, these images with degrading quality must be processed to meet practical needs. Integrating artificial bee colony algorithm and fuzzy set, this paper introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to realize the self-adaptive parameter selection. In the meanwhile, based on the exponential properties of information increase, it proposes a new definition of fuzzy entropy and uses artificial bee colony algorithm to realize the self-adaptive contrast enhancement under the maximum entropy criterion. The experimental result shows that the method proposed in this paper can increase the dynamic range compression of the image, enhance the visual effects of the image, enhance the image details, have some color fidelity capacity and effectively overcome the deficiencies of traditional image enhancement methods.
Volume: 12
Issue: 4
Page: 875-882
Publish at: 2014-12-01

Cost Forecasting Model of Transmission Project based on the PSO-BP Method

10.12928/telkomnika.v12i4.439
Yan; North China Electric Power University Lu , Dongxiao; North China Electric Power University Niu , Bingjie; North China Electric Power University Li , Min; State Grid Zhejiang Electric Power Company Economic Research Institute Yu
In order to solve being sensitive to the initial weights, slow convergence, being easy to fall into local minimum and other problems of the BP neural network, this paper introduces the Particle Swarm Optimization (PSO) algorithm into the Artificial Neural Network training, and construct a BP neural network model optimized by the particle swarm optimization. This method can speed up the convergence and improve the prediction accuracy. Through the analysis of the main factors on the cost of transmission line project, dig out the path and lead factors, topography and meteorological factors, the tower and the tower base materials and other factors. Use the PSO-BP model for the cost forecasting of transmission line project based on historical project data. The result shows that the method can predict the cost effectively. Compared with the traditional BP neural network, the method can predict with higher accuracy, and can be generalized and applied in cost forecasting of actual projects.
Volume: 12
Issue: 4
Page: 773-778
Publish at: 2014-12-01

An Algorithm Based on Wavelet Neural Network for Garment Size Selection

10.12928/telkomnika.v12i4.788
Luo; Zhejiang Sci-Tech Universit Ronglei , He; Engineering Research Center of Clothing of Zhejiang Province, Hangzhou Wenjie , Li; Engineering Research Center of Clothing of Zhejiang Province, Hangzhou Chengyi
Size fitting problem is a main obstacle to large scale online garment sales.It is the difficult to customers to find the fit garments when they couldn’t try on. In this paper, we present an algorithm base on wavelet neural network to help customer choosing their clothing specifications automatically. After the reasonable wavelet function is selected, we established the model structure and the initial parameters. The wavelet neural network is trained by the body measures and the result of AHP algorithm after normalization. The new data are used to test the network. As a result, the error from wavelet neural network is smaller, and the prediction accuracy is proved than that from the algorithm based on traditional BP network.
Volume: 12
Issue: 4
Page: 1073-1078
Publish at: 2014-12-01

Optimal Threshold of LTE-Femtocell Network Based Bayes-Nash Equilibrium Theory

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3942
Hao Chen , Ying Liu , Jianfu Teng
To increase LTE (long time evolution) networks spectrum utilization and interference mitigation, a LTE system overlaid with femtocells is studied. This paper will focus a self-optimized power control scheme for LTE-femtocell networks, in which the transmitted power of a femtocell base station is adjusted based on the optimal SINR threshold. It is known that game theory is a useful tool for analyzing outage probabilities and optimal power in wireless networks. In this paper, Bayes-Nash equilibrium theory is used to derive a optimal SINR (signal-interference-noise-ratio) threshold from each femtocell .The power control scheme can be applied to realistic LTE-femtocell networks to enable robust communication against cross-tier interference thereby obtaining a substantial link quality. http://dx.doi.org/10.11591/telkomnika.v12i12.4963 
Volume: 12
Issue: 12
Page: 8246-8251
Publish at: 2014-12-01

Intelligent Interface for Knowledge Based System

10.12928/telkomnika.v12i4.413
Nyoman Bogi Aditya; Institut Teknologi Bandung Karna , Iping; Institut Teknologi Bandung Supriana , Ulfa; Institut Teknologi Bandung Maulidevi
Every Knowledge Based System has their own knowledge formalism depends on the problem to be solved, goal to be achieved, and proposed solution. This means every knowledge contained in the system will differ from one system to another. This was also meant that this knowledge cannot be used by other system, which in return makes every system must start with a learning phase from the start. One of the solutions to overcome this problem is by providing a unified model that can accept all type of knowledge which guarantees automatic interaction between Knowledge Based System. Interaction in this paper is defined as knowledge sharing, integration, and transfer from one system to another. This research provides the model and conducts the test on interaction capability. This research contributes for accelerating a new Knowledge Based System establishment because it does not need a knowledge initialization.
Volume: 12
Issue: 4
Page: 1096-1104
Publish at: 2014-12-01

Improving the Dielectric Properties of High Density Polyethylene by Incorporating Clay-Nanofiller

10.12928/telkomnika.v12i4.115
Ahmed Sayed; National Institute of Standards Haiba , Ossama El-sayed; Cairo University Gouda , Sohair Fakhry; National Institute of Standards Mahmoud , Ahmed Aboud; National Institute of Standards El-gendy
Polymer nanocomposites have been used for various important industrial applications. The preparation of high density polyethylene composed with Na-montmorillonite nanofiller using melt compounding method for different concentrations of clay-nano filler of 0%, 2%, 6%, 10%, and 15% has been successfully done. The morphology of the obtained samples was optimized and characterized by scanning electron microscope showing the formation of the polymer nanocomposites. The thermal stability and dielectric properties were measured for the prepared samples. Thermal gravimetric analysis results show that thermal stability in polymer nanocomposites is more than that in the base polymer. It has been shown that the polymer nanocomposites exhibit some very different dielectric characteristics when compared to the base polymer. The dielectric breakdown strength is enhanced by the addition of clay-nano filler. The dielectric constant (εr) and dissipation factor (Tan δ) have been studied in the frequency range 200 Hz to 2 MHz at room temperature indicating that enhancements have been occurred in εr and Tan δ by the addition of clay-nano filler in the polymer material when compared with the pure material.
Volume: 12
Issue: 4
Page: 763-772
Publish at: 2014-12-01

Trusted Node-Based Algorithm to Secure Home Agent NATed IPv4 Network from IPv6 Routing Header Attacks

10.12928/telkomnika.v12i4.540
Mohamed; Albaha University Shenify
Providing a secure mobile communication in mixed IPv4/IPv6 networks is a challenging task. One of the most critical vulnerabilities associated with the IPv6 protocol is the routing header that potentially may be exploited by attackers to bypass the security. This paper discusses an algorithm to secure home agent network from the routing header vulnerability, where the home agent network uses IPv4 Network Address Translation (NAT) router. The algorithm also takes into account multi-hops destination in the routing header. Verification was done through implementation of the algorithm at the Home Agent modul in a testbed network. The experimental results show that the proposed algorithm provides secure communication between Correspondent nodes and Mobile Nodes that moved into the NATed network without causing a significance filtering delay.
Volume: 12
Issue: 4
Page: 969-976
Publish at: 2014-12-01

An Empirical Evaluation of Topologies for Large Scale NoC

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3929
Mehdi Baboli , Nasir Shaikh Husin
In the past decades, processing power has achieved considerable gains. Researchers proposed faster uniprocessors that are capable of improving the instruction level parallelism through out-of-order implementation for increasing the performance quality of the existing network-on-chip (NoC). Although, the reducing returns of the performance of uniprocessor architecture caused multiprocessors to be integrated on a chip. In this paper, we selected a famous popular NoC topology, i.e., mesh, and evaluated it in terms of different figures of merit e.g., latency, power consumption, and power/throughput ratio under different routing algorithms, number of buffer, and hotspot traffic models. We selected two size of NoC, 12×12 and 16×16, as large scale NoC. We investigated all characteristics and measured latency, maximum delay, and total energy by Noxim simulator. In this paper, we demonstrated that when the network size and number of buffer were large, no routing algorithm could contribute to improve network performance. This is because the routing algorithms had the same performance in the large scale NoCs and they could not solve problems alone. Therefore, for a large scale system, the topology has a major impact on the performance and cost of the network. http://dx.doi.org/10.11591/telkomnika.v12i12.6840 
Volume: 12
Issue: 12
Page: 8133-8139
Publish at: 2014-12-01
Show 1438 of 1667

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration