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31,456 Article Results

Network loss reduction and voltage improvement by optimal placement and sizing of distributed generators with active and reactive power injection using fine-tuned PSO

10.11591/ijeecs.v21.i2.pp647-656
Eshan Karunarathne , Jagadeesh Pasupuleti , Janaka Ekanayake , Dilini Almeida
Minimization of real power loss and improvement of voltage authenticity of the network are amongst the key issues confronting power systems owing to the heavy demand development problem, contingency of transmission and distribution lines and the financial costs. The distributed generators (DG) has become one of the strongest mitigating strategies for the network power loss and to optimize voltage reliability over integration of capacitor banks and network reconfiguration. This paper introduces an approach for the optimizing the  placement and sizes of different types of DGs in radial distribution systems using a fine-tuned particle swarm optimization (PSO). The suggested approach is evaluated on IEEE 33, IEEE 69 and a real network in Malaysian Context. Simulation results demonstrate the productiveness of active and reactive power injection into the electric power system and the comparison depicts that the suggested fine-tuned PSO methodology could accomplish a significant reduction in network power loss than the other research works.
Volume: 21
Issue: 2
Page: 647-656
Publish at: 2021-02-01

Features of genetic algorithm for plain text encryption

10.11591/ijece.v11i1.pp434-441
Riyadh Bassil Abduljabbar , Oday Kamil Hamid , Nazar Jabbar Alhyani
The data communication has been growing in present day. Therefore, the data encryption became very essential in secured data transmission and storage and protecting data contents from intruder and unauthorized persons. In this paper, a fast technique for text encryption depending on genetic algorithm is presented. The encryption approach is achieved by the genetic operators Crossover and mutation. The encryption proposal technique based on dividing the plain text characters into pairs, and applying the crossover operation between them, followed by the mutation operation to get the encrypted text. The experimental results show that the proposal provides an important improvement in encryption rate with comparatively high-speed Processing.
Volume: 11
Issue: 1
Page: 434-441
Publish at: 2021-02-01

A proposed cloud-based billers hub using secured e-payments system

10.12928/telkomnika.v19i1.15879
Belal; Al-Balqa Applied University Ayyoub , Bilal; Al-Balqa Applied University Zahran , Mahdi A.; Al-Balqa Applied University Nisirat , Farouq M. S.; Al-Balqa Applied University Al-Taweel , Mohammad; Al-Balqa Applied University Al Khawaldah
Automation of several payment processes from start to end is a challenging task, particularly when multiple payments from online and offline billers are involved. In this paper, we introduced a new aggregator system to combine all billing system types, in which it is possible to pay invoices electronically. The proposed aggregator system was designed to be employed in a cloud-based Billers Hub (CBBH) developed by the central banks. Furthermore, many applications can be realized such as; deposit e-money, withdrawal e-money, and other applications. A Gateway translator is used to apply authentication rules, security, and privacy. The proposed system was employed in the Jordanian payment gateway and successfully fulfills its purpose.
Volume: 19
Issue: 1
Page: 339-348
Publish at: 2021-02-01

Reducing image search time by improved BOVW with wavelet decomposition

10.11591/ijeecs.v21.i2.pp1201-1208
Mohammed El Amin Kourtiche , Mohammed Beladgham , Abdelmalik Taleb-Ahmed
In the last decade, the bag of visual words (BOVW) has been used widely in image classification, image retrieval and has significantly improved the performance of CBIR system. In this paper we propose a new method to enhance BOVW using features obtained from wavelet decomposition in order to reduce computational costs in vocabulary construction and training time. We apply several level of wavelet decompositions and evaluate their impact on accuracy of the BOVW. We apply our method on MURA-v1.1 dataset and the experiments results confirm the performance of our approach.
Volume: 21
Issue: 2
Page: 1201-1208
Publish at: 2021-02-01

Computational and experimental study of air-core HTS transformer electrothermal behaviour at current limiting mode

10.11591/ijece.v11i1.pp155-162
V. Z. Manusov , D. O. Kriukov , A. V. Semenov
The paper provides the results of the experimental and computational study of the processes occurring in high temperature superconducting transformer windings while secondary winding is short-circuited. The obtained mathematical simulation matches closely with the experimental results. The temperature variation curves for superconducting windings were analysed, and conclusions were made on the necessity of changes in HTS transformer design, namely the necessity of windings heat-insulation from each other and adding a high-resistance coating material for HTS wire in HTS transformer primary winding.
Volume: 11
Issue: 1
Page: 155-162
Publish at: 2021-02-01

Analytical solutions of linear and non-linear incommensurate fractional-order coupled systems

10.11591/ijeecs.v21.i2.pp776-790
Ramzi B. Albadarneh , Iqbal M. Batiha , Nedal Tahat , Abdel-Kareem N. Alomar
In this paper, a new analytical method is developed for solving linear and non-linear fractional-order coupled systems of incommensurate orders. The system consists of two fractional-order differential equations of orders . The proposed approach is performed by decoupling the system into two fractional-order differential equations; the first one is a fractional-order differential equation (FoDE) of one variable of order , while the second one depends on the solution of the first one. The general solution of the coupled system is obtained using the adomian decomposition method (ADM). The main ideas of this work are verified via several examples of linear and nonlinear systems, and the numerical simulations are performed using Mathematica.
Volume: 21
Issue: 2
Page: 776-790
Publish at: 2021-02-01

Optimized architecture for SNOW 3G

10.11591/ijece.v11i1.pp545-557
N. B. Hulle , Prathiba B. , Sarika R. Khope , K. Anuradha , Yogini Borole , D. Kotambkar
SNOW 3G is a synchronous, word-oriented stream cipher used by the 3GPP standards as a confidentiality and integrity algorithms. It is used as first set in long term evolution (LTE) and as a second set in universal mobile telecommunications system (UMTS) networks. The cipher uses 128-bit key and 128 bit IV to produce 32-bit ciphertext. The paper presents two techniques for performance enhancement. The first technique uses novel CLA architecture to minimize the propagation delay of the 232 modulo adders. The second technique uses novel architecture for S-box to minimize the chip area. The presented work uses VHDL language for coding. The same is implemented on the FPGA device Virtex xc5vfx100e manufactured by Xilinx. The presented architecture achieved a maximum frequency of 254.9 MHz and throughput of 7.2235 Gbps.
Volume: 11
Issue: 1
Page: 545-557
Publish at: 2021-02-01

Smartphone indoor positioning based on enhanced BLE beacon multi-lateration

10.12928/telkomnika.v19i1.16275
Ngoc-Son; Vietnam National University - University of Engineering and Technology Duong , Thai-Mai; Vietnam National University - University of Engineering and Technology Dinh Thi
In this paper, we introduce a smartphone indoor positioning method using bluetooth low energy (BLE) beacon multilateration. At first, based on signal strength analysis, we construct a distance calculation model for BLE beacons. Then, with the aims to improve positioning accuracy, we propose an improved lateral method (range-based method) which is applied for 4 nearby beacons. The method is intended to design a real-time system for some services such as emergency assistance, personal localization and tracking, location-based advertising and marketing, etc. Experimental results show that the proposed method achieves high accuracy when compared with the state of the art lateral methods such as geometry-based (conventional trilateration), least square estimation-based (LSE-based) and weighted LSE-based.
Volume: 19
Issue: 1
Page: 51-62
Publish at: 2021-02-01

Planning multi-terminal direct current grids based graphs theory

10.11591/ijece.v11i1.pp37-46
Mario A. Rios , Fredy A. Acero
Transmission expansion planning in AC power systems is well known and employs a variety of optimization techniques and methodologies that have been used in recent years. By contrast, the planning of HVDC systems is a new matter for the interconnection of large power systems, and the interconnection of renewable sources in power systems. Although the HVDC systems has evolved, the first implementations were made considering only the needs of transmission of large quantities of power to be connected to the bulk AC power system. However, for the future development of HVDC systems, meshed or not, each AC system must be flexible to allow the expansion of these for future conditions. Hence, a first step for planning HVDC grids is the planning and development of multi-terminal direct current (MTDC) systems which will be later transformed in a meshed system. This paper presented a methodology that use graph theory for planning MTDC grids and for the selection of connection buses of the MTDC to an existing HVAC transmission system. The proposed methodology was applied to the Colombian case, where the obtained results permit to migrate the system from a single HVDC line to a MTDC grid.
Volume: 11
Issue: 1
Page: 37-46
Publish at: 2021-02-01

Solving combined economic emission dispatch problem in wind integrated power systems

10.11591/ijeecs.v21.i2.pp635-641
Surender Reddy Salkuti
A meta-heuristic based optimization method for solving combined economic emission dispatch (CEED) problem for the power system with thermal and wind energy generating units is proposed in this paper. Wind energy is environmentally friendly and abundantly available, but the intermittency and variability of wind power affects the system operation. Therefore, the system operator (SO) must aware of wind forecast uncertainty and dispatch the wind power accordingly. Here, the CEED problem is solved by including the nonlinear characteristics of thermal generators, and the stochastic behavior of wind generators. The stochastic nature of wind generators is handled by using probability distribution analysis. The purpose of this CEED problem is to optimize fuel cost and emission levels simultaneously. The proposed problem is changed into a single objective optimization problem by using weighted sum approach. The proposed problem is solved by using particle swarm optimization (PSO) algorithm. The feasibility of proposed methodology is demonstrated on six generator power system, and the obtained results using the PSO approach are compared with results obtained from genetic algorithm (GA) and enhanced genetic algorithms (EGA).
Volume: 21
Issue: 2
Page: 635-641
Publish at: 2021-02-01

Lab work activities of computer network using virtual reality application

10.12928/telkomnika.v19i1.16502
Sukirman; Universitas Muhammadiyah Surakarta Sukirman , Achmad Midun; Universitas Muhammadiyah Surakarta Sanjaya , Reni; Universitas Muhammadiyah Surakarta Selfi
Lab work activities are one of the hearts of science learning, but several students have limited use and time to explore computer network tools. This study proposes a virtual reality (VR) application used to support lab work activities of a computer network so that students may conduct lab work activities by themselves at any time. The method used in this study is a multimedia development life cycle (MDLC) that consists of five stages, they are concept, design, material collecting, assembly, and testing & evaluation. A formative evaluation carried out by involving two experts, namely software expert and material expert, to measure the feasibility of application before conducting user testing. Meanwhile, a summative evaluation used to evaluate the VR application by involving 25 students who were taking the course of computer networking. Statistical analysis shows that the score of Cronbach's alpha test is higher than 0.6 for aspects of material subject and experience. Hence, the VR application can be used to support the lab work activities of a computer network.
Volume: 19
Issue: 1
Page: 79-88
Publish at: 2021-02-01

Optimizing RPL performance based on the selection of best route between child and root node using E-MHOF method

10.11591/ijece.v11i1.pp224-231
Ahmed R. Zarzoor
IETF has proposed the routing protocol for low power and lossy networks (RPL) for IOT as view as light weight routing protocol. In RPL, the objective function (OF) is used to select the best route between child and root node. Several researches have been conducted in order to, enhance OF according to number parameters such as number of hops, remaining energy and expected number of transmissions (ETX), without a consideration to other challenges such as congestion node problem and latency. So, to overcome these challenges a new technique called “Enhance-Minimum Rank with Hysteresis Objective Function (MHOF)” is proposed in this paper, to select the ideal path between the child and root node. The technique is consisted of three layers: parent selection layer in which parent is selected based on three parameters (ETX, RSSI and nodes’ residual energy), path selection layer in which the best route is chosen according to the minimum of (average ETX value) and maximum of (average remaining energy value) of all nodes in the selected route. The last layer is child node minimization, which utilized to solve the congestion node energy problem by using two parameters (RSSI reference and threshold value). The proposed method has been implemented and evaluated by using Cooja simulator software. The simulation results have shown that selected path with E-MHOF is increased the network lifetime and reduced latency in comparison with MHOF.
Volume: 11
Issue: 1
Page: 224-231
Publish at: 2021-02-01

Optimization of energy consumption in cloud computing datacenters

10.11591/ijece.v11i1.pp686-698
Ahmed Osman , Assim Sagahyroon , Raafat Aburukba , Fadi Aloul
Cloud computing has emerged as a practical paradigm for providing IT resources, infrastructure and services. This has led to the establishment of datacenters that have substantial energy demands for their operation. This work investigates the optimization of energy consumption in cloud datacenter using energy efficient allocation of tasks to resources. The work seeks to develop formal optimization models that minimize the energy consumption of computational resources and evaluates the use of existing optimization solvers in testing these models. Integer linear programming (ILP) techniques are used to model the scheduling problem. The objective is to minimize the total power consumed by the active and idle cores of the servers’ CPUs while meeting a set of constraints. Next, we use these models to carry out a detailed performance comparison between a selected set of Generic ILP and 0-1 Boolean satisfiability based solvers in solving the ILP formulations. Simulation results indicate that in some cases the developed models have saved up to 38% in energy consumption when compared to common techniques such as round robin. Furthermore, results also showed that generic ILP solvers had superior performance when compared to SAT-based ILP solvers especially as the number of tasks and resources grow in size.
Volume: 11
Issue: 1
Page: 686-698
Publish at: 2021-02-01

Coronal slice segmentation using a watershed method for early identification of people with Alzheimer's

10.12928/telkomnika.v19i1.15142
Retno; Jenderal Soedirman University Supriyanti , Anugerah Kevin; Jenderal Soedirman University Marchel , Yogi; Jenderal Soedirman University Ramadhani , Haris Budi; Jenderal Soedirman University Widodo
One physical sign of a person who has Alzheimer's is the diminution of the area of the hippocampus and ventricles. A good quality magnetic resonance imaging (MRI) will provide a high-quality image so that the doctor will quickly analyze the abnormalities of the hippocampus and ventricle area. However, for low-quality MRI, this is difficult to do. This condition will be a significant problem for some regions in developing countries including Indonesia, where many hospitals have only low-quality MRI, and many hospitals do not have them at all. The primary purpose of this research is to develop simple tools to analyze morphological characteristics in Alzheimer's patients. In this paper, we focus only on coronal slice analysis. We will use watershed method segmentation, because of this method able to segment the boundaries automatically, so that parts of the hippocampus and ventricles can be identified in an MRI image. Analysis of morphological characteristics is also classified by age and gender. Then by referring to the value of the clinical dementia rating (CDR), the process of identifying between images with Alzheimer's disease (AD) and healthy models is done based on the morphological analysis that has been done. The results show this method has a better performance compared to the previously work.
Volume: 19
Issue: 1
Page: 63-72
Publish at: 2021-02-01

Quantitative estimation of TV white space in Southwest Nigeria

10.12928/telkomnika.v19i1.17881
Ilesanmi Banjo; Ekiti State University Oluwafemi , Ayodeji Peter; Ekiti State University Bamisaye , Matthew Adedeji; Ekiti State University Faluru
The demand for bandwidth has increased in recent years with the advent of new technologies in the wireless systems which have resulted into spectrum crunch. Utilizing the free ultra high frequency (UHF), television (TV) channels also known as TV white space (TVWS) has been proposed as a strategy for increasing spectral efficiency. Deploying TVWS requires the knowledge of the estimate of the available TVWS. In this paper, a quantitative estimation of the available TVWS in South West, Nigeria is computed using the protection view point approach, the pollution viewpoint approach and the Federal Communication Commission (FCC) rule. Results from the estimation shows that the pollution view point approach will guarantee enough protection from the primary users and hence prevent interference from the secondary users. The findings also reveal that there are abundant TVWS in the considered states for the deployment of TVWS devices.
Volume: 19
Issue: 1
Page: 36-43
Publish at: 2021-02-01
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