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30,376 Article Results

Exploiting Outage Performance of Wireless Powered NOMA

10.12928/telkomnika.v16i5.9385
Dinh-Thuan; Industrial University of Ho Chi Minh City Do , Chi-Bao; Industrial University of Ho Chi Minh City Le
Considering a dual-hop energy-harvesting (EH) non-orthogonal multiple access (NOMA) relaying system, this paper considers novel relaying protocol based on time power switching-based relaying (TPSR) and power switching-based relaying (PSR) schemes for two kinds of gain factors regarding amplify-and-forward mode. We introduce novel system model relaying network with impacts of energy harvesting fractions and derive analytical expressions for outage probability for the information transmission link. It confirmed that right selection of power allocation for NOMA to obtain optimal performance as compared study in two considered schemes. We also explore impacts of other key parameters of system to outage performance evaluation for different channel models. Simulation results are presented to corroborate the proposed methodology.
Volume: 16
Issue: 5
Page: 1907-1917
Publish at: 2018-10-01

AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning

10.12928/telkomnika.v16i5.10578
Ibrahim; Universiti Kuala Lumpur-British Malaysian Institute (UniKL BMI) Alhamrouni , Mohamed; Universiti Sains Malaysia Salem , Azhar Bin; Universiti Teknologi Malaysia Khairuddin , Jamilatul; Universiti Kuala Lumpur-British Malaysian Institute (UniKL BMI) Lilik , Awang; Universiti Teknologi Malaysia Jusoh , T.; Universitas Ahmad Dahlan Sutikno
This work proposes a method based on a mixed integer nonlinear non-convex programming model to solve the multistage transmission expansion planning (TEP). A meta-heuristic algorithm by the means of differential evolution algorithm (DEA) is employed as an optimization tool. An AC load flow model is used in solving the multistage TEP problem, where accurate and realistic results can be obtained. Furthermore, the work considers the constraints checking and system violation such as real and power generation limits, possible number of lines added, thermal limits and bus voltage limits. The proposed technique is tested on well known and realistic test systems such as the IEEE 24 bus-system and the Colombian 93-bus system. The method has shown high capability in considering the active and reactive power in the same manner and solving the TEP problem. The method produced improved good results in a fast convergence time for the test systems.
Volume: 16
Issue: 5
Page: 2316-2330
Publish at: 2018-10-01

802.11p Profile Adaptive MAC Protocol for Non-Safety Messages on Vehicular Ad Hoc Networks

10.11591/ijeecs.v12.i1.pp208-217
Shamsul J Elias , M. Elshaikh , M. Yusof Darus , Jamaluddin Jasmis , Angela Amphawan
Vehicular Ad hoc Networks (VANET) play a vital Vehicle to Infrastructure (V2I) correspondence frameworks where vehicle are convey by communicating and conveying data transmitted among each other. Because of both high versatility and high unique network topology, congestion control should be executed distributedly. Optimizing the congestion control in term of delay rate, packet delivery ratio (PDR) and throughput could limit the activity of data packet transmissions. These have not been examined altogether so far – but rather this characteristic will be fundamental for VANET system execution and network system performance. This paper exhibits a novel strategy for congestion control and data transmission through Service Control Channel (SCH) in VANET. The Taguchi strategy has been connected in getting the optimize value of parameter for congstion control in highway environment. This idea lessens the pointless activity of data transmission and decreases the likelihood of congested in traffic in view of execution for measuring the delay rate, packet delivery ratio (PDR) and throughput. The proposed execution performance is estimated with the typical VANET environment in V2I topology in highway driving conditions and the simulation results demonstrate and enhance network execution performance with effective data transmission capacity.
Volume: 12
Issue: 1
Page: 208-217
Publish at: 2018-10-01

A Novel Low Cost Fractal Antenna Structure for ISM and WiMAX Applications

10.12928/telkomnika.v16i5.8527
Driss El; Hassan 1st University Nabaoui , Abdelali; Hassan 1st University Tajmouati , Jamal; Hassan 1st University Zbitou , Ahmed; Hassan 1st University Errkik , Larbi; Hassan 1st University Elabdellaoui , Mohamed; ESEO Angers Latrach
Different fractal structures have been widely used in many antennas designs for various applications. A fractal antenna is used for miniaturization and multiband operation. This paper presents a design of a dual-band fractal antenna fed by coplanar waveguide (CPW) transmission line. The proposed antenna is designed and fabricated on an FR4 substrate with a volume of 70x60x1.6mm3, resonates at 2.42-2.62GHz and 3.40-3.65GHz with a return loss less than -10dB. The design and simulation process is carried out by using CST-MW studio electromagnetic solver. Simulation results show that the resulting antenna exhibits an interesting dual frequency resonant behavior making it suitable for dual band communication systems including the ISM and WiMAX applications. Concerning the fabrication and measurement of the final prototype of this antenna, a good agreement is found between simulation and measurement results for both frequency bands.
Volume: 16
Issue: 5
Page: 1901-1906
Publish at: 2018-10-01

Improvement of Pitch Motion Control of an Aircraft Systems

10.12928/telkomnika.v16i5.7434
Aishah; Universiti Teknologi Malaysia Johari , Fitri; Universiti Teknologi Malaysia Yakub , Hatta; Universiti Teknologi Malaysia Ariff , Zainudin A.; Universiti Teknologi Malaysia Rasid , Shamsul; Universiti Teknologi Malaysia Sarip , Rudzidatulm Akmam; Universiti Teknologi Malaysia Dziyauddin , Mohd Zamzuri; Universiti Teknikal Malaysia Melaka Ab Rashid , Azizul; Universiti Teknologi Malaysia Azizan , Yasuchika; Transportation Systems & Electric Co Mori
The movement of the aircraft pitch is very important to ensure the passengers and crews are in intrinsically safe and the aircraft achieves its maximum stability.The objective of this study is to provide a solution to the control system that features particularly on the pitch angle motion of aircraft systemin order to have a comfort boarding. Three controllers were developed in these projects which wereproportional integral derivative (PID), fuzzy logic controller (FLC), and linear quadratic regulator (LQR) controllers. These controllers will help improving the pitch angle and achievingthe target reference. By improving the pitch motion angle, the flight will be stabilized and in steady cruise (no jerking effect), hence provides all the passengers withthe comfort zone. Simulation results have been done and analyzed using Matlab software. The simulation results demonstrated LQR and FLC were better than PID in the pitch motion system due to the small error performance. In addition, withstrong external disturbances, a single controller is unable to control the system, thus, the combination of PID and LQR managed to stabilize the aircraft.
Volume: 16
Issue: 5
Page: 2263-2274
Publish at: 2018-10-01

Optimizing Time and Effort Parameters of COCOMO II using Fuzzy Multi-Objective Particle Swarm Optimization

10.12928/telkomnika.v16i5.9698
Kholed; Fatoni University Langsari , Riyanarto; Institut Teknologi Sepuluh Nopember (ITS) Sarno , Sholiq; Institut Teknologi Sepuluh Nopember Sholiq
Estimating the efforts, costs, and schedules of software projects is a frequent challenge to software development projects. A bad estimation will result in bad management of a project. Various models of estimation have been defined to complete this estimate. The Constructive Cost Model II (COCOMO II) is one of the most famous models as a model for estimating efforts, costs, and schedules. To estimate the effort, cost, and schedule in project of software, the COCOMO II uses inputs: Effort Multiplier (EM), Scale Factor (SF), and Source Line of Code (SLOC). Evidently, this model is still lack in terms of accuracy rates in both efforts estimated and time of development. In this paper, we introduced to use Gaussian Membership Function (GMF) of Fuzzy Logic and Multi-Objective Particle Swarm Optimization (MOPSO) method to calibrate and optimize the parameters of COCOMO II. It is to achieve a new level of accuracy better on COCOMO II. The Nasa93 dataset is used to implement the method proposed. The experimental results of the method proposed have reduced the error downto 11.89% and 8.08% compared to the original COCOMO II. This method proposed has achieved better results than previous studies.
Volume: 16
Issue: 5
Page: 2199-2207
Publish at: 2018-10-01

Implementation of Voltage Optimization for Sustainable Energy

10.11591/ijeecs.v12.i1.pp341-347
Jian Ding Tan , Siaw Paw Koh , Mau Teng Au , Sieh Kiong Tiong , Kharudin Ali
The voltage control in the power distribution network is challenged firstly by constantly increasing in power demand and secondly by a growing number of distributed connections, which significantly changes the load flow in the network. Situation is worsening with the current heavily implemented micro-generation of Solar PV. Consequently, the uncontrollable rapid changes in the power distribution network would affect voltage instability at the feeder with wide area power demand. Voltage instability would affect the energy efficiency of the electrical equipment. Moreover, the lifespan of some equipment would be shortened due to the excessive and unstable voltage supplied. The proposed research aims to implement the low impedance voltage optimization system in solving the existing problem. The voltage optimization system had been tested on both resistive and inductive loads. The power consumption of the loads had been measured at a few discrete values of voltage optimization within the statutory region. Further tests were conducted on industrial water pump, general lightings with mixed loads, office building, restaurant and plastic injection moulding machine. The power measurements were logged and the results in term of power consumption were analysed. The results showed that the proposed optimization mechanism successfully optimize and saved 6.81%, 14.42%, 13.97%, 12.23%, and 26.23% of the power consumptions in respective tests.
Volume: 12
Issue: 1
Page: 341-347
Publish at: 2018-10-01

Mining Fuzzy Time Interval Periodic Patterns in Smart Home Data

10.11591/ijece.v8i5.pp3374-3385
Imam Mukhlash , Desna Yuanda , Mohammad Iqbal
A convergence of technologies in data mining, machine learning, and a persuasive computer has led to an interest in the development of smart environment to help human with functions, such as monitoring and remote health interventions, activity recognition, energy saving. The need for technology development was confirmed again by the aging population and the importance of individual independent in their own homes. Pattern mining on sensor data from smart home is widely applied in research such as using data mining. In this paper, we proposed a periodic pattern mining in smart house data that is integrated between the FP-Growth PrefixSpan algorithm and a fuzzy approach, which is called as fuzzy-time interval periodic patterns mining. Our purpose is to obtain the periodic pattern of activity at various time intervals. The simulation results show that the resident activities can be recognized by analyzing the triggered sensor patterns, and the impacts of minimum support values to the number of fuzzy-time-interval periodic patterns generated. Moreover, fuzzy-time-interval periodic patterns that are generated encourages to find daily or anomalies resident’s habits.
Volume: 8
Issue: 5
Page: 3374-3385
Publish at: 2018-10-01

Economic Load Dispatch with Valve-point Effect Using Bacterial Foraging Algorithm

10.12928/telkomnika.v16i5.7717
Muhammad Ridha; Muhammadiyah University of Riau Fauzi , Rahmad; Muhammadiyah University of Riau Al Rian
Fuel is the most cost component of thermal power generation. The output power of each plant should not exceed the needs of the consumer's load. Unoptimal generation between generating units can cause power losses along the transmission line so that the fuel drain is large enough. The purpose of this study was to determine the optimal power output combination of each generating unit and determine the minimum total fuel cost of the combined power output of the plant by taking into account the valve-point effect and the operational constraint (economic load dispatch). The Newton-Raphson method is used to calculate the transmission line power losses. In this research, Bacterial Foraging Algorithm (BFA) optimization method is proposed to solve the problem of economic load dispatch. This method uses natural selection of optimum global bacterium which has a good food search strategy in the fitness function. The effectiveness of BFAs is tested on IEEE 5 bus 3 generatorsystem and IEEE 30 bus 6 generator system. The results of this proposed method show the optimal value of both generating systems.
Volume: 16
Issue: 5
Page: 2355-2364
Publish at: 2018-10-01

An Efficient Filtering Technique for Denoising Colour Images

10.11591/ijece.v8i5.pp3604-3608
K. Arun Sai , K. Ravi
Single-sensor digital cameras capture image with the aid of masking the sensor surface along a colour filter array(CFA) such that every sensor pixel solely samples certain of three primary colour values i.e., R (red)，G (green) and B (blue). To get a full-colour image, an interpolation method commonly referred in conformity with CFA demosaicking is required to estimate the other two contributions for producing a full-colour image. But, the clutter in imaging sensors not only corrupts the colour filter array but also introduces artifacts at some stage in the colour interpolation step and affects the characteristics of image. To acquire high quality full-colour image, a kind of viable and effective interpolation algorithm based over gradient is used. This technique can remove the noise effectively by retaining image border and detail data clearly.
Volume: 8
Issue: 5
Page: 3604-3608
Publish at: 2018-10-01

An Adaptive Liquid Level Controller Using Multi Sensor Data Fusion

10.12928/telkomnika.v16i5.9074
Santhosh K.; Manipal Institute of Technology V. , Bhagya R; Manipal Institute of Technology Navada
This paper describes a design of adaptive liquid level control system using the concept of Multi Sensor Data Fusion (MSDF). Purpose of the work is to design a controller for accurately controlling the level of liquid in a process tank with liquid temperature changes. The proposed objective is obtained by i) implementing a MSDF framework using Pau’s framework for measuring liquid level and temperature, ii) analyzing the behavior of actuator output for variation in liquid temperature, and iii) designing a suitable adaptive controller which will produce desired control action for controlling liquid level accurately using neural network algorithms. Outputs from sensors are fused to obtain the fluid level output and also relation of level transmitter output for change in temperature. This information is used by controller to train the neural network so as to tune the controller parameters (proportional gain, integral constant, and differential constant), to drive the actuator. Results obtained show that the system is able to control liquid level within range of 1.915% of set point even with variations in liquid temperature.
Volume: 16
Issue: 5
Page: 2465-2473
Publish at: 2018-10-01

Paper Money Recognizer Using Feature Descriptor

10.11591/ijeecs.v12.i1.pp117-126
Nur Hadisukmana , Adri Yudianto
People are still using paper money for daily transaction; this, however, will expose some difficulty for visually impaired people. Though they can still read the nominal value of the paper money by the other people or feel the tactile feature, they cannot depend upon others all the time and the tactile feature does not work well if the paper money is worn out. Some alternatives have been proposed and conducted. One of them is using money value recognition application. The application will recognize nominal value of paper money comparing the image of the paper with database. This process is using a feature extraction algorithm called ORB feature descriptor. It has been used for six (6) different types of currencies that are 5 most traded currencies and Indonesia currency and also for different types of nominals (bills).
Volume: 12
Issue: 1
Page: 117-126
Publish at: 2018-10-01

Controlling The Radiation Pattern of Patch Antenna Using Switchable EBG

10.12928/telkomnika.v16i5.10443
M.K.; University of Kerbala Abdulhameed , M.S.; Universiti Teknikal Malaysia Melaka (UTeM) Mohamad Isa , Z.; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , M.K.; University of Kerbala Mohsin
The advantages of the beam steering technique are the reduction of interference, save power and to maximize connectivity for point to multi points. Antenna gain degradation is a big problem in the beam steering technique. A new antenna structure is formed by combining the concept of mushroom-like EBG structure with the switching diode to produce the radation pattern control. All sides of the patch antenna are surrounded by several cells for EBG structure. In both of the the left and right sides, through a switching pin diode, the ground plane is attached to vias. The band-stop and band-pass properties of the EBG sector can be changed with the help of switching the diode between ON and OFF state, thus yielding the beam steering into that particular sector. At 6 GHz operational frequency, this structure has the ability to steer 40º (from -20º to +20º) while minimal diodes are utilized, directivity of 10 dBi, gain 9.86 dB and the efficiency is 96.5%. This approach is robust to gain degradation and the main lobe gain is approximately constant for all steering angles.
Volume: 16
Issue: 5
Page: 2014-2022
Publish at: 2018-10-01

Load Balance in Data Center SDN Networks

10.11591/ijece.v8i5.pp3084-3091
Tariq Emad Ali , Ameer Hussein Morad , Mohammed A. Abdala
In the last two decades, networks had been changed according to the rapid changing in its requirements.  The current Data Center Networks have large number of hosts (tens or thousands) with special needs of bandwidth as the cloud network and the multimedia content computing is increased. The conventional Data Center Networks (DCNs) are highlighted by the increased number of users and bandwidth requirements which in turn have many implementation limitations.  The current networking devices with its control and forwarding planes coupling result in network architectures are not suitable for dynamic computing and storage needs.  Software Defined networking (SDN) is introduced to change this notion of traditional networks by decoupling control and forwarding planes. So, due to the rapid increase in the number of applications, websites, storage space, and some of the network resources are being underutilized due to static routing mechanisms. To overcome these limitations, a Software Defined Network based Openflow Data Center network architecture is used to obtain better performance parameters and implementing traffic load balancing function. The load balancing distributes the traffic requests over the connected servers, to diminish network congestions, and reduce underutilization problem of servers. As a result, SDN is developed to afford more effective configuration, enhanced performance, and more flexibility to deal with huge network designs
Volume: 8
Issue: 5
Page: 3084-3091
Publish at: 2018-10-01

Inflammatory Cell Extraction in Pap smear Images: A Combination of Distance Criterion and Image Transformation Approach

10.12928/telkomnika.v16i5.6817
Rahadian; Universitas Islam Indonesia Kurniawan , Arrie; Universitas Islam Indonesia Kurniawardhani , Izzati; Universitas Islam Indonesia Muhimmah
In order to obtain a diagnosis of cervical cancer information, the characteristics of each cell nucleus must be identified and evaluated properly through a Pap smear test. The presence of inflammatory cells in Pap smear images can complicate the process of identification of cell nuclei in the early detection of cervical cancer. Inflammatory cells need to be eliminated to assist pathologists in reading Pap smear slides. In this work, we developed a novel method to extract the inflammatory cells that allow detection of cell nuclei more accuracy. The proposed algorithm consists of two stages: extraction of inflammatory cells using the distance criterion and image transformation. This experiment applied to the 1358 cells comprising 378 nuclei cells and 980 inflammatory cells from 25 Pap smear images. The results showed that our method can significantly reduce the amount of inflammation that can disrupt the cell nuclei in the detection process. The proposed method has promising results with a sensitivity level of 97% and a specificity of 84.38%.
Volume: 16
Issue: 5
Page: 2048-2056
Publish at: 2018-10-01
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