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31,456 Article Results

Distributed gateway-based load balancing in software defined network

10.12928/telkomnika.v18i5.14851
Halimah; Telkom University Tussyadiah , Ridha Muldina; Telkom University Negara , Danu Dwi; Telkom University Sanjoyo
To achieve an internet with high availability and reliability, needs two or more data paths so the process for sending data can be faster. Load balancing is often plays a significant role for this technique to properly utilized every gateway in the network. This research, implemented load balancing in software defined network architecture using floodlight controller. Evaluation is done by measuring QoS (delay, bit rate, packet rate, packet success rate) while sending various traffics through the network such as UDP Flow, VoIP, and DNS. Performance of load balancer is work well, because the results after load balancing is better than before. Which is the value of delay after load balancing is decreased about 30-55% compared to before load balancing, also the values of bit rate, packet rate dan packet success rate after load balancing is increased about 10-30% compared to before load balancing.
Volume: 18
Issue: 5
Page: 2352-2361
Publish at: 2020-10-01

Filtering and analyzing normal and abnormal electromyogram signals

10.11591/ijeecs.v20.i1.pp176-184
S. Elouaham , A. Dliou , Mostafa Laaboubi , R. Latif , N. Elkamoun , H. Zougagh
The electromyogram (EMG) is an important measurement to assess the health of muscles and the nerve cells that control them. The appearance of noise in electromyography (EMG) signals may unquestionably minimize the efficiency of the analysis of the signal. The denoising techniques are inevitable for minimizing noise affecting the EMG signals; these methods are complete ensemble empirical mode decompositions with adaptive noise (CEEMDAN) and the ensemble empirical mode decomposition (EEMD). After that, we analyze these signals by time-frequency techniques as Adaptive optimal kernel (AOK) and Choi-Williams. Firstly, the obtained results illustrate the effectiveness of the CEEMDAN that permits reducing noise that interferes with normal and abnormal EMG signals with higher resolution than other techniques used as EEMD. Secondly, they show that the AOK technique is adapted to the detection and classification of these types of normal and abnormal EMG signals by the good localization of the motor unit action potentials (MUAPs) in the time-frequency plan. This paper shows the efficiency of the combination of the AOK and CEEMDAN techniques in analyzing the EMG signals. 
Volume: 20
Issue: 1
Page: 176-184
Publish at: 2020-10-01

New primitives of controlled elements F2/4 for block ciphers

10.11591/ijece.v10i5.pp5470-5478
Minh Nguyen Hieu , Duy Ho Ngoc , Canh Hoang Ngoc , Trung Dinh Phuong , Manh Tran Cong
This paper develops the cipher design approach based on the use of data-dependent operations (DDOs). A new class of DDO based on the advanced controlled elements (CEs) is introduced, which is proven well suited to hardware implementations for FPGA devices. To increase the hardware implementation efficiency of block ciphers, while using contemporary FPGA devices there is proposed an approach to synthesis of fast block ciphers, which uses the substitution-permutation network constructed on the basis of the controlled elements F2/4 implementing the 2 x 2 substitutions under control of the four-bit vector. There are proposed criteria for selecting elements F2/4 and results on investigating their main cryptographic properties. It is designed a new fast 128-bit block cipher MM-128 that uses the elements F2/4 as elementary building block. The cipher possesses higher performance and requires less hardware resources for its implementation on the bases of FPGA devices than the known block ciphers. There are presented result on differential analysis of the cipher MM-128
Volume: 10
Issue: 5
Page: 5470-5478
Publish at: 2020-10-01

Comparative analysis of feeding techniques for cylindrical surrounding patch antenna

10.11591/ijece.v10i5.pp5377-5384
Erhiega N. Umayah , Viranjay M. Srivastava
In this research work, a Cylindrical Surrounding Patch Antenna (CSPA) with improved performance parameters based on inset feed method compared to other feed techniques has been proposed for 1.8 GHz applications. The designed and simulated CSPA is a rotary version of an initially designed Rectangular Planar Patch Antenna (RPPA). The RPPA is mounted on a cylindrical surface with radius (r) 10 mm which is an increased curvature for better -10 dB S-parameter (S11), impedance Band Width (BW), Voltage Standing Wave Ratio (VSWR), radiation pattern, and gain. The copper radiating patch has been conformed on the surface of the grounded flexible polyimide substrate with relative permittivity (εr) 3.5 and thickness (h) 1.6 mm at normalized input impedance of 50 Ω. Results for the RPPA and the proposed CSPA have been compared with existing designs in terms of antenna size, resonant frequency (fr), return loss (S11), and gain while taking cognizance of the feeding techniques. The S11, BW, VSWR, and gain are -12.784 dB, 28 MHz, 1.8, and 4.81 dBi respectively for the rectangular planar patch antenna and -35.571 dB, 66 MHz, 1.5, and 3.74 dBi, respectively for the cylindrical surrounding patch antenna.
Volume: 10
Issue: 5
Page: 5377-5384
Publish at: 2020-10-01

Performance analysis of millimeter wave 5G networks for outdoor environment: propagation perspectives

10.11591/ijeecs.v20.i1.pp214-221
Naser Al-Falahy , Mohammed AlMahamdy , Ali M. Mahmood
To cope with the massive growth in global mobile data traffic for 2020 and beyond, the fifth generation (5G) system is required to be developed as the current 4G system is expected to fall short behind the provision of such growth. 5G systems is anticipated to use millimeter wave (mm-wave) frequency bands (20 to 90) GHz, due to the availability of wide chunk of unexploited bandwidth. This is revolutionary step to use these bands because of their very different propagation conditions, atmospheric absorption and hardware constraints. However, such challenges could be compensated by means of beamforming/beamsteering and larger antenna array. In this paper, a comparative study aided with ray-tracing simulation has been performed to assess the feasibility of mm-wave in 5G system. Propagation characteristics of the 28GHz and 73 GHz bands have been studied and compared in a street canyon outdoor environment to simulate 5G outdoor mobile access. Simulation results were shown along with their comparison for both of the aforementioned frequencies. The results of propagation comparison have been reported in terms of path loss, k-factor, delay spread and received power for both 28 and 73 GHz bands.
Volume: 20
Issue: 1
Page: 214-221
Publish at: 2020-10-01

Intercept probability analysis in DF time switching full-duplex relaying network with impact of Co-channel interference at the eavesdropper

10.12928/telkomnika.v18i5.13861
Pham Minh; Industrial University of Ho Chi Minh City Nam , Phu Tran; Ton Duc Thang University Tin , Minh; Ton Duc Thang University Tran
In this research, we propose and investigate intercept probability analysis in DF time switching relaying full-duplex with impact of Co-channel interference at the eavesdropper. In the beginning stage, we present the DF time switching relaying full-duplex with the Impact of Co-channel interference at the eavesdropper. Furthermore, the closed-form expression of the intercept probability (IP) is analyzed and derived in connection with the primary system parameters. Finally, the Monte Carlo simulation is performed for verifying the correctness of the analytical section. From the research results, a novel solution and some recommendations can be proposed for the communication network in the near future.
Volume: 18
Issue: 5
Page: 2335-2340
Publish at: 2020-10-01

Real time FPGA implemnation of SAR radar reconstruction system based on adaptive OMP compressive sensing

10.11591/ijeecs.v20.i1.pp185-196
Eslam Ashraf , Ashraf A. M. Khalaf , Sara M. Hassan
Synthetic aperture radar (SAR) is an imaging system based on the processing of radar echoes. The produced images have a huge amount of data which will be stored onboard or transmitted as a digital signal to the ground station via downlink to be processed. Therefore, some methods of compression on the raw images provides an attractive option for SAR systems design. One of these techniques which used for image reconstruction is the orthogonal matching pursuit (OMP). OMP is an iterative algorithm which need high computational operations. The computational complexity of the iterative algorithms is high due to updating operations of the measurement vector and large number of iterations that are used to reconstruct the images successfully. This paper presents a new adaptive OMP algorithm to overcome this issue by using certain threshold. The new adaptive OMP algorithm is compared with the classical OMP algorithm using the receiver operating characteristic (ROC) curves. The MATLAB simulations show that the new adaptive OMP algorithm improves the probability of detection at lower SNRs, reduce the computational operations as well as the number of required iterations. FPGA implementation of both the classical OMP and the adaptive OMP algorithm are also presented in this paper.
Volume: 20
Issue: 1
Page: 185-196
Publish at: 2020-10-01

Cancerous lung nodule detection in computed tomography images

10.12928/telkomnika.v18i5.15523
Ayman Abu; Applied Science Private University Baker , Yazeed; Al Ain University of Science and Technology Ghadi
Diagnosis the computed tomography images (CT-images) is one of the images that may take a lot of time in diagnosis by the radiologist and may miss some of cancerous nodules in these images. Therefore, in this paper a new novel enhancement and detection cancerous nodule algorithm is proposed to diagnose a CT-images. The novel algorithm is divided into three main stages. In first stage, suspicious regions are enhanced using modified LoG algorithm. Then in stage two, a potential cancerous nodule was detected based on visual appearance in lung. Finally, five texture features analysis algorithm is implemented to reduce number of detected FP regions. This algorithm is evaluated using 60 cases (normal and cancerous cases), and it shows a high sensitivity in detecting the cancerous lung nodules with TP ration 97% and with FP ratio 25 cluster/image.
Volume: 18
Issue: 5
Page: 2432-2438
Publish at: 2020-10-01

Comparative study on machine learning algorithms for early fire forest detection system using geodata

10.11591/ijece.v10i5.pp5507-5513
Zouiten Mohammed , Chaaouan Hanae , Setti Larbi
Forest fires have caused considerable losses to ecologies, societies and economies worldwide. To minimize these losses and reduce forest fires, modeling and predicting the occurrence of forest fires are meaningful because they can support forest fire prevention and management. In recent years, the convolutional neural network (CNN) has become an important state-of-the-art deep learning algorithm, and its implementation has enriched many fields. Therefore, a competitive spatial prediction model for automatic early detection of wild forest fire using machine learning algorithms can be proposed. This model can help researchers to predict forest fires and identify risk zonas. System using machine learning algorithm on geodata will be able to notify in real time the interested parts and authorities by providing alerts and presenting on maps based on geographical treatments for more efficacity and analyzing of the situation. This research extends the application of machine learning algorithms for early fire forest prediction to detection and representation in geographical information system (GIS) maps.
Volume: 10
Issue: 5
Page: 5507-5513
Publish at: 2020-10-01

A rigorous user needs experience evaluation method based on software quality standards

10.12928/telkomnika.v18i5.16061
Mohammad; Prince Sultan University Zarour
Our lives, nowadays, are digital. We, as humans, are using software applications in all our life aspects to meet our daily objectives and fulfill our needs. Software solutions that comprise mobile apps are widely spread, users can select from hundreds of available software solutions that fit their needs. Accordingly, user needs are becoming intricate and the software organizations are competing high to satisfy user requirements and the desires for better quality. This competition is not about satisfying the functional requirements but also satisfy user experience as well. Accordingly, studying, measuring, and improving user experience is crucial for the success of any software product. This research focuses on evaluating user experience needs by developing user experience needs evaluation method based on three main disciplines the user experience framework, the evaluation theory concept, and the ISOsoftware quality standards ISO/IEC 25022 and ISO/IEC 25023. Although these disciplines are available in the literature, they are not linked together to complete the mosaic picture of developing a UX evaluation method. Linking there three disciplines led to systematically identify the necessary evaluation criteria to evaluate user needs experience.
Volume: 18
Issue: 5
Page: 2787-2799
Publish at: 2020-10-01

A new factor for fabrication technologies evaluation for silicon nanowire transistors

10.12928/telkomnika.v18i5.12121
Yasir; Tishk International University (TIU) Hashim , Mohammed Nazmus; Universiti Malaysia Pahang Shakib
This paper reviews the fabrication technologies of silicon nanowire transistors (SiNWTs) and rapidly development in this area, as this paper presents various types of SiNWT structures, development of SiNWT properties and different applications until nowadays.  This research provides a good comparison among fabrication technologies of SiNWTs depending on a new factor DIF, this factor depends on the size of channel and power consumption in channel. As a result of this comparison, the best technology to use in the future to fabricate silicon nano transistors for future ICs is AFM nanolithography.
Volume: 18
Issue: 5
Page: 2597-2605
Publish at: 2020-10-01

Range expansion method on heterogeneous network to increase picocell coverage

10.12928/telkomnika.v18i5.14640
Hadi; Telkom University Supriadi , Hasanah; Telkom University Putri
In this study, picocell planning was carried out on heterogeneous networks by applying the range expansion method. The case study was conducted in Coblong Subdistrict-Bandung on the 1800 MHz frequency. Heterogeneous network (HetNet) is a system that combines microcell networks and small cell networks (picocell and femtocell). The application of the range expansion method in picocell was aimed to broaden the scope of picocell. For the simulation, Atoll 3.3.0 software with observational parameters was implemented, including RSRP, SINR, throughput, and user connected. The planning results showed that the application of expansion method increased the coverage and quality of network, where the RSRP value ≥ -90 dBm was 97.72%, SINR ≥ 5 dB was 70.99%, uplink throughput was 17.80 Mbps, downlink throughput was 21.37 Mbps, and user connected was 99.2%.
Volume: 18
Issue: 5
Page: 2341-2351
Publish at: 2020-10-01

Blockchain-based framework for secure and reliable land registry system

10.12928/telkomnika.v18i5.15787
Mohammed; Universiti Teknologi Malaysia Shuaib , Salwani Mohd; Universiti Teknologi Malaysia Daud , Shadab; Jazan University Alam , Wazir Zada; Jazan University Khan
The land registry system is one of the very important department in any governance system that stores the records of land ownership. There are various issues and loopholes in the existing system that give rise to corruption and disputes. This requires a significant chunk of valuable government resources from judiciary and law enforcement agencies in settling these issues. Blockchain technology has the potential to counter these loopholes and sort out the issues related with land registry system like tempering of records, trading of the same piece of land to more than one buyer. In this paper, a secure and reliable framework for land registry system using Blockchain has been proposed. The proposed framework uses the concept of smart contract at various stages of the land registry and gives an algorithm for pre-agreement. First, we describe the conventional land registry system and reviews the issues in it. Then, we outline the potential benefits of employing Blockchain technology in the land registry system and presented a framework. Finally, a number of case studies are presented.
Volume: 18
Issue: 5
Page: 2560-2571
Publish at: 2020-10-01

Radiation effect of fractal sierpinski square patch antenna

10.11591/ijece.v10i5.pp5329-5334
Khalid Hussein Kuther , Israa Hazem Ali , Riyadh Khlf Ahmed
Biological tissue interaction with Electromagnetic fields became one of the interesting studies in the last years. Wide variety wireless electronic devices are emerged in day to day life each providing a wireless connection for a certain service such as Global Positioning System, broadcasting systems, mobile communication systems, and networking. In this research article, Fractal Sierpinski Square Patch Antenna is proposed and simulated to operate over L1 frequency range of 1.575 GHz for GPS applications using CST studio Suite where the proposed antenna has been investigated on Carpet shaped substrate made of Arlon 250 AD lossy. The dielectric constant equals to 2.5 and thickness of 1.6 mm. Thickness of patch is 0.6 mm. Also, the electromagnetic fields absorption on the human fingers is investigated where SAR levels are calculated for 0th, 1st, 2nd and 3rd iteration of the Fractal Sierpinski Square Patch Antenna. The results reported that the SAR limit of human finger tissue is enhanced with increasing the number of iteration.
Volume: 10
Issue: 5
Page: 5329-5334
Publish at: 2020-10-01

Pet dog disease pre-diagnosis system for caregiver with possibilistic C-means clustering and disease database

10.11591/ijeecs.v20.i1.pp300-305
Kwang Baek Kim , Doo Heon Song
While the population of pet dogs and veterinary clinics are increasing, there is no reliable and useful software for pet owners/caregivers who have limited knowledge on the pet diseases. In this paper, we propose a pre-diagnosis system working on the mobile platform that the pet owner can take a pre-diagnosis from his/her observation of pet dog’s abnormality. Technically, the system needs a reliable databases for disease-symptom association thus we provide it based on the textbook and encyclopedia. Then, we apply Possibilistic C-Means algorithm that is an unsupervised machine learning algorithm to form the connections between disease and symptoms from database. The system outputs five most probable diseases from the observed symptoms of pet dog. The utility of this system is to alert the owner’s attention on the pet dog’s abnormal behavior and try to find the diseases as soon as possible.
Volume: 20
Issue: 1
Page: 300-305
Publish at: 2020-10-01
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