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29,922 Article Results

An improved closed loop hybrid phase shift controller for dual active bridge converter

10.11591/ijece.v10i2.pp1169-1178
S. Narasimha , Surender Reddy Salkuti
In this paper, a new closed loop hybrid phase shift control is proposed for dual active bridge (DAB) converter with variable input voltage. The extended phase shift (EPS) control is applied when load gets heavy enough and the secondary side phase shift angle decreases to zero. When this modified DAB converter operates at light loads, the triple phase shift (TPS) modulation method is applied, and the added control freedom is the secondary phase shift angle between the two-secondary side switching legs. The hybrid phase shift control (HPS) scheme is a combination of EPS and TPS modulations, and it provides a very simple closed form implementation for the primary and secondary side phase shift angles. Depending on the application by changing the phase shift angles we can achieve Buck or Boost operation. A characteristic table feedback control method has been used for closed loop operation. By using 1D look up table the proposed DAB converter provides constant 400V for any given input voltage.
Volume: 10
Issue: 2
Page: 1169-1178
Publish at: 2020-04-01

Single object detection to support requirements modeling using faster R-CNN

10.12928/telkomnika.v18i2.14838
Nathanael; Universitas Multimedia Nusantara Gilbert , Andre; Universitas Multimedia Nusantara Rusli
Requirements engineering (RE) is one of the most important phases of a software engineering project in which the foundation of a software product is laid, objectives and assumptions, functional and non-functional needs are analyzed and consolidated. Many modeling notations and tools are developed to model the information gathered in the RE process, one popular framework is the iStar 2.0. Despite the frameworks and notations that are introduced, many engineers still find that drawing the diagrams is easier done manually by hand. Problem arises when the corresponding diagram needs to be updated as requirements evolve. This research aims to kickstart the development of a modeling tool using Faster Region-based Convolutional Neural Network for single object detection and recognition of hand-drawn iStar 2.0 objects, Gleam grayscale, and Salt and Pepper noise to digitalize hand-drawn diagrams. The single object detection and recognition tool is evaluated and displays promising results of an overall accuracy and precision of 95%, 100% for recall, and 97.2% for the F-1 score.
Volume: 18
Issue: 2
Page: 830-838
Publish at: 2020-04-01

Rough set based QoS enabled multipath source routing in MANET

10.11591/ijece.v10i2.pp1915-1923
Prathviraj N. , Santosh L Deshpande
The single constrained Quality of Service (QoS) routing in Mobile Ad-hoc NETwork (MANET) is disastrous in consideration of MANET characteristics, inference, collision and link failure as it maintains a single path. The QoS enabled routing yields better packet delivery and maintains consistency among nodes in the network by incorporating multi-constrained and multipath routing. The Dynamic Source Routing (DSR) is best suited source routing algorithm to maintain multipath information at the source node, but performance degrades with larger number of mobile nodes. Multi-layer mechanism should be incorporated to maintain QoS metric information spreads across multiple layers of TCP/IP protocol stack. The proposed multipath QoS enabled source routing provides balanced routing by making use of all these features. The imprecise decision making strategy called Rough Set Theory (RST) is used at destination node for decision making. The Route REQuest (RREQ) messages coming from different routes are filtered by considering the QoS metrics of each and every route by making use of RST. The Route REPly (RREP) messages are generated and delivered to the source node for filtered RREQ messages. The proposed routing algorithm will reduce load on the network by reducing number of control messages exchanged for route establishment. This will evenly distribute load among all the nodes and it also avoid the scenarios like few nodes starved for resources. Finally, multipath routing always provides alternate routing option in case of route failure.
Volume: 10
Issue: 2
Page: 1915-1923
Publish at: 2020-04-01

Low-cost and open-source anthropomorphic prosthetics hand using linear actuators

10.12928/telkomnika.v18i2.14799
Triwiyanto; Poltekkes Kemenkes Surabaya Triwiyanto , I; Dr. Soetomo Hospital Surabaya Putu Alit Pawana , Torib; Poltekkes Kemenkes Surabaya Hamzah , Sari; Poltekkes Kemenkes Surabaya Luthfiyah
A robust, low cost, open-source, and low power consumption in the research of prosthetics hand is essential. The purpose of this study is to develop a low-cost, open-source anthropomorphic prosthetics hand using linear actuator based on electromyography (EMG) signal control. The main advantages of this proposed method are the low-cost, lightweight and simplicity of controlling the prosthetic hand using only single channel. This is achieved by evaluating the DC motor and exploring number of locations of the EMG signal. The development of prosthetics hand consists of 3D anthropomorphic hand design, active electrodes, microcontroller, and linear actuator. The active electrodes recorded the EMG signal from extensor carpi radialis longus. The built-in EMG amplifier on the electrode amplified the EMG signal. Further, the A/D converter in the Arduino microcontroller converted the analog signal into digital. A filtering process consisted of bandpass and notch filter was performed before it used as a control signal. The linear actuator controlled each finger for flexion and extension motion. In the assessment of the design, the prosthetic hand capable of grasping ten objects. In this study, the cost and weight of the prosthetics hand are 471.99 US$ and 0.531 kg, respectively. This study has demonstrated the design of low cost and open-source of prosthetics hand with reasonable cost and lightweight. Furthermore, this development could be applied to amputee subjects.
Volume: 18
Issue: 2
Page: 953-960
Publish at: 2020-04-01

Improving accuracy of Part-of-Speech (POS) tagging using hidden markov model and morphological analysis for Myanmar Language

10.11591/ijece.v10i2.pp2023-2030
Dim Lam Cing , Khin Mar Soe
In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation (MT), information retrieval (IR), etc. Currently, there are many research efforts in word segmentation and POS tagging developed separately with different methods to get high performance and accuracy. For Myanmar Language, there are also separate word segmentors and POS taggers based on statistical approaches such as Neural Network (NN) and Hidden Markov Models (HMMs). But, as the Myanmar language's complex morphological structure, the OOV problem still exists. To keep away from error and improve segmentation by utilizing POS data, segmentation and labeling should be possible at the same time.The main goal of developing POS tagger for any Language is to improve accuracy of tagging and remove ambiguity in sentences due to language structure. This paper focuses on developing word segmentation and Part-of- Speech (POS) Tagger for Myanmar Language. This paper presented the comparison of separate word segmentation and POS tagging with joint word segmentation and POS tagging.
Volume: 10
Issue: 2
Page: 2023-2030
Publish at: 2020-04-01

Patterns of sidemount four-bay FM antenna system

10.12928/telkomnika.v18i2.14877
Gerino; De La Salle University Mappatao
This paper presents the radiation characteristics of a 4-bay collinear FM antenna system, both in free-space and with the presence of a metallic tower where the bays are mounted, with the use of powerful computers and accurate antenna simulation software. The radiation characteristics of the array are presented and discussed, such as the total gain, polarization components, circularity, beamwidth and minor lobe of the array. This is to determine the conformity of the array performance with existing standards. The possible effects of the metallic tower and the downward radiation from the minor lobe are emphasized. Being aware with these radiation characteristics, broadcast practitioners can optimize the use of this popular array. Results of numerical analyses show that the array is basically a vertically polarized radiator, the beamwidth is quite small which makes it disadvantageous for high-elevated antenna systems, the metallic tower affects the circularity of the azimuth pattern, and the downward radiation from the minor lobes can cause adverse effects. Adjustments on the basic elements and bay placements are recommended.
Volume: 18
Issue: 2
Page: 661-668
Publish at: 2020-04-01

Technology organization environment framework in cloud computing

10.12928/telkomnika.v18i2.13871
Iqbal; University of Chittagong Ahmed
Cloud Computing is a rapidly emerging technology over the last few years, that has abolished the burden of purchasing heavy hardware and software. Cloud computing has been advantageous to Small and Medium-sized Enterprises (SMEs), though many SMEs have not adopted to delve into its appealing benefits. To increase the cloud adoption rate in these Enterprises, the most important thing is to understand the aspects which influence the cloud adoption. The article focuses on these factors, which influence the use of cloud services by establishing the three layer hierarchical framework based on the grounded on the Technology Oriented Environmental (TOE) framework through systematic literature review. Because cloud-based solutions offer numerous benefits for companies, they have precious cloud determinants. This paper therefore took into account the Technology Organization Environment TOE model for Cloud Computing adoption. In addition, the questionaries designed at the end also indicate the significant connection in the decision of adoption between three context of TOE. Moreover, the designed questionaries has been used for the analysis of cloud computing adoption in Bangladeshi SMEs.
Volume: 18
Issue: 2
Page: 716-725
Publish at: 2020-04-01

Evaluation of deep neural network architectures in the identification of bone fissures

10.12928/telkomnika.v18i2.14754
Fredy; Universidad Distrital Francisco José de Caldas Martinez , César; Universidad Distrital Francisco José de Caldas Hernández , Fernando; Universidad Distrital Francisco José de Caldas Martínez
Automated medical image processing, particularly of radiological images, can reduce the number of diagnostic errors, increase patient care and reduce medical costs. This paper seeks to evaluate the performance of three recent convolutional neural networks in the autonomous identification of fissures over two-dimensional radiological images. These architectures have been proposed as deep neural network types specially designed for image classification, which allows their integration with traditional image processing strategies for automatic analysis of medical images. In particular, we use three convolutional networks: ResNet (residual neural network), DenseNet (dense convolutional network), and NASNet (neural architecture search network) to learn information from a set of 200 images labeled half as fissured bones and half as seamless bones. All three networks are trained and adjusted under the same conditions, and their performance was evaluated with the same metrics. The final results consider not only the model's ability to predict the characteristics of an unknown image but also its internal complexity. The three neural models were optimized to reduce classification errors without producing network over-adjustment. In all three cases, generalization of behavior was observed, and the ability of the models to identify the images with fissures, however the expected performance was only achieved with the NASNet model.
Volume: 18
Issue: 2
Page: 807-814
Publish at: 2020-04-01

Higher performance and lower complexity turbo decoding scheme for 4G-LTE using unpunctured turbo trellis-coded modulation

10.11591/ijeecs.v18.i1.pp351-360
Elarbi Abderraouf , Abdesselam Bassou , Mohamed Rida Lahcene Rida Lahcene
Thanks to the success of smart phones and mobile-ready laptops, data traffic has recently grown exponentially, and the demand for mobile data has risen very dramatically. These requests in large capacity can only be satisfied by a high efficiency and a very good optimization of the infrastructures of the mobile networks, while taking into account the constraints which are the power, bandwidth and a limited complexity. The task of developing mobile technologies has also evolved from a national or regional focus to a complex and growing mission, supported by global standards development organizations such as 3GPP (3rd Group Partnership Project). Through this research, we present everything related to the simulation of the 4G mobile network system (LTE), which can provide high data flow with good quality, through three model channels known as (EPA, EVA, ETU). In this work we focus on the block ‘iterative decoding channel encoder’ in the LTE system, where the iterative channel coding called ‘Turbo-code’ (TC) is substituted by the iterative coding channel called ‘Unpunctured Turbo Trellis-coded Modulation’ (UTTCM). The simulation results showed that with less decoding complexities, UTTCM's LTE system gives good performance (in terms of BER).
Volume: 18
Issue: 1
Page: 351-360
Publish at: 2020-04-01

An optimal control for complete synchronization of 4D Rabinovich hyperchaotic systems

10.12928/telkomnika.v18i2.14301
Shaymaa Y.; University of Mosul Al-Hayali , Saad Fawzi; University of Mosul Al-Azzawi
This paper derives new results for the complete synchronization of 4D identical Rabinovich hyperchaotic systems by using two strategies: active and nonlinear control. Nonlinear control strategy is considered as one of the powerful tool for controlling the dynamical systems. The stabilization results of error dynamics systems are established based on Lyapunov second method. Control is designed via the relevant variables of drive and response systems. In comparison with previous strategies, the current controller (nonlinear control) focuses on convergence speed and the minimum limits of relevant variables. Better performance is to achieve full synchronization by designing the control with fewer terms. The proposed control has certain significance for reducing the time and complexity for strategy implementation.
Volume: 18
Issue: 2
Page: 994-1000
Publish at: 2020-04-01

The performance of Gauss Markov’s mobility model in emulated software defined wireless mesh network

10.11591/ijeecs.v18.i1.pp428-433
Tsehay Admassu Assegie , Pramod Sekharan Nair
Wireless mesh networks (WMNs) are a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area networks (WLANs).Test bed analysis and emulation plays an important role in evaluation of wireless networks and node mobility is the prominent feature of next generation wireless network. In this paper we will focus on the models of wireless station mobility and discuss their importance within the software defined wireless mesh network performance evaluation. The existing mobility models for the next generation software defined wireless network will be explored. Finlay, we will present the mobility models in the mininet-Wi-Fi test bed, and evaluate the performance of the models
Volume: 18
Issue: 1
Page: 428-433
Publish at: 2020-04-01

Glaucoma detection of retinal images based on boundary segmentation

10.11591/ijeecs.v18.i1.pp377-384
Noraina Alia Zainudin , Ain Nazari , Mohd Marzuki Mustafa , Wan NurShazwani Wan Zakaria , Nor Surayahani Suriani , Wan Nur Hafsha Wan Kairuddin
The rapid growth of technology makes it possible to implement in immediate diagnosis for patients using image processing. By using morphological processing and adaptive thresholding method for segmentation of optic disc and optic cup, various sizes of retinal fundus images captured through fundus camera from online databases can be processed. This paper explains the use of color channel separation method for pre-processing to remove noise for better optic disc and optic cup segmentation. Noise removal will improve image quality and in return help to increase segmentation standard. Then, morphological processing and adaptive thresholding method is used to extract out optic disc and optic cup from fundus image. The proposed method is tested on two publicly available online databases: RIM-ONE and DRIONS-DB. On RIM-ONE database, the average PSNR value acquired is 0.01891 and MSE is 65.62625. Meanwhile, for DRIONS-DB database, the best PSNR is 64.0928 and the MSE is 0.02647. In conclusion, the proposed method can successfully filter out any unwanted noise in the image and are able to help clearer optic disc and optic cup segmentation to be performed.
Volume: 18
Issue: 1
Page: 377-384
Publish at: 2020-04-01

Radial basis function neural network for 2 satisfiability programming

10.11591/ijeecs.v18.i1.pp459-469
Shehab Alzaeemi , Mohd. Asyraf Mansor , Mohd Shareduwan Mohd Kasihmuddin , Saratha Sathasivam , Mustafa Mamat
Radial Basis Function Neural Network (RBFNN) is very prominent in data processing. However, improving this technique is vital for the NN training process. This paper presents an integrated 2 Satisfiability in radial basis function neural network (RBFNN-2SAT). There are two different types of training in RBFNN, namely no-training technique and half-training technique. The performance of the solutions via Genetic Algorithm (GA) training was investigated by comparing the Radial Basis Function Neural Network No-Training Technique (RBFNN- 2SATNT) and Radial Basis Function Neural Network Half-Training Technique (RBFNN- 2SATHT). The comparison of both techniques was examined on 2 Satisfiability problem by using a C# software that was developed for this experiment. The performance of the RBFNN-2SATNT and RBFNN-2SATHT in performing 2SAT is discussed in terms of root mean squared error (RMSE), sum squared error (SSE), mean absolute percentage error (MAPE), mean absolute error (MAE), number of the hidden neurons and CPU time. Results obtained from a computer simulation showed that RBFNN-2SATHT outperformed RBFNN-2SATNT.
Volume: 18
Issue: 1
Page: 459-469
Publish at: 2020-04-01

Mobile-based monitoring system for an automatic cat feeder using Raspberry Pi

10.12928/telkomnika.v18i2.14819
Nenny; Universitas Islam Negeri Syarif Hidayatullah Jakarta Anggraini , Dzul Fadli; Peter the Great St. Petersburg Polytechnic University Russia Rahman , Luh Kesuma; Universitas Islam Negeri Syarif Hidayatullah Jakarta Wardhani , Nashrul; Universitas Islam Negeri Syarif Hidayatullah Jakarta Hakiem
In a Saheeh hadith it is explained that the cat is a clean animal that is free from najis, so keeping a cat is not something that is forbidden. One of the things that is important when keeping a cat is feeding. However, keeping a cat at home takes time and effort. In this digital era, the use of technology has penetrated all aspects of life. The objective of this research is to create a monitoring system for an automatic cat feeder using a webcam and a stepper motor that is connected to a Raspberry Pi as the main controller. The webcam can take pictures (photographs or videos) processed with the fswebcam and the avconv functions on the Raspberry Pi. The stepper motor can rotate the feed valve by utilising a General-Purpose Input Output (GPIO) pin and a program which is inserted into the Raspberry Pi. Next, the Raspberry Pi will be connected to the Internet and a server network so that the system control can be done remotely by using a web browser or web view on a mobile. The overall function of the system in the form of feeding the cat either directly or scheduled, as well as monitoring of photographs or videos around the feed. The results of a questionnaire showed that this system has a need value of 87.3% of 79 respondent cat keepers, meaning cat keepers will be greatly helped by the existence of this system.
Volume: 18
Issue: 2
Page: 1038-1046
Publish at: 2020-04-01

Combined ILC and PI regulator for wastewater treatment plants

10.12928/telkomnika.v18i2.14895
Lanh Van; Thai Nguyen University of Technology Nguyen , Nam Van; Thai Nguyen University of Technology Bach , Hai Trung; Thai Nguyen University of Technology Do , Minh Tuan; Thai Nguyen University of Technology Nguyen
Due to high nonlinearity with features of large time constants, delays, and interaction among variables, control of the wastewater treatment plants (WWTPs) is a very challenging task. Modern control strategies such as model predictive controllers or artificial neural networks can be used to deal with the non-linearity. Another characteristic of this system should be considered is that it works repetitively. Iterative learning control (ILC) is a potential candidate for such a demanding task. This paper proposes a method using ILC for WWTPs to achieve new results. By exploiting data from the previous iterations, the learning control algorithm can improve gradually tracking control performance for the next runs, and hence outperforms conventional control approaches such as feedback controller and model predictive control (MPC). The benchmark simulation model No.1-BSM1 has been used as a standard for performance assessment and evaluation of the control strategy. Control of the dissolved oxygen in the aerated reactors has been performed using the PD-type ILC algorithms. The obtained results show the advantages of ILC over a classical PI control concerning the control quality indexes, IEA and ISE, of the system. Besides, the conventional feedback regulator is designed in a combination with the iterative learning control to deal with uncertainty. Simulation results demonstrate the potential benefits of the proposed method.
Volume: 18
Issue: 2
Page: 1054-1061
Publish at: 2020-04-01
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