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Optimal number and location of UPFC devices to enhence voltage profile and minimizing losses in electrical power systems

10.11591/ijece.v9i5.pp3981-3992
Sekhane Hocine , Labed Djamel
The fast increase of loads around the world has made electrical networks more and more complex and difficult to operate close to its capacities. This is has led to many problems such as voltage collapse and energy losses. Therefore, flexible alternating current transmission systems (FACTS) are considred as a best solution for solving these problems. Unified Power Flow Controller UPFC is one of the most important and powerful FACTS devices due to its ability to increase the transmission capacity of the power system and reduce the total line losses. The problem of optimizing its number, location and size has become an important requirement for best advantages of this device. In this paper, a proposed relationship to identify the maximum number of FACTS devices that can be installed for a given power network is introduced in the search process code to determine the optimal number, optimal placement and size of UPFC device to enhance voltages profile and reduce overall system losses in the standard IEEE 14 bus test system using genetic algorithm (GA). The obtained results show clearly that all control parameters of UPFCs in each case are within their limits, and whenever the number of UPFCs installed increases, both voltage deviation and total losses well decreases. They also show that the application of the proposed relationship in the search process code facilitates greatly the search for optimal number, optimal placement and size of UPFC devices and reduces the calculation time. On the other hand, the obtained results has been scientifically justified and compared with other works reported in the literature.
Volume: 9
Issue: 5
Page: 3981-3992
Publish at: 2019-10-01

A fuzzy system for detection and classification of textile defects to ensure the quality of fabric production

10.11591/ijece.v9i5.pp4277-4286
Iman Subhi Mohammed , Israa Mohammed Alhamdani
The aim of this research focuses on construct a computerized system for textile defects detection. The system merges between image processing methods, statistical methods in addition to the Intelligent techniques via Neural Network and Fuzzy Logic. Gabor filters were used to identify edges and to highlight defective areas in fabric images, then to train the neural network on statistical and geometry features derived from fabric images to form the special neural network distinguish and classify defects into the fourteen categories, which are the most common defects in the textile factory.  The proposed work includes two phases. The first phase is to detect the defects in fabrics. The second phase is the classification phase of the defect. At the defect detection stage, a Discrete Cosine Transfer (DCT) converts the images to the frequency domain.  Image features then drawn and introduce them to the Elman Neural Network to detect the existence of defects. In the classification stage, the images are converted to the frequency domain by the Gabor filter and then the image features are extracted and inserted into the back propagation network to classify the fabric defects in those images. Fuzzy logic is then applied to neural network outputs and interference values are used in fuzzy logic to increase final discrimination. We evaluate a distinction rate of 91.4286% .After applying the fuzzy logic to neural network output; the discrimination rate was raised to 97.1428%. 
Volume: 9
Issue: 5
Page: 4277-4286
Publish at: 2019-10-01

Insights extraction on cross-cultural interaction through astronomy online labs using data analytics

10.11591/ijeecs.v16.i1.pp508-515
M. Bakri , Norhaslinda Kamaruddin , M. Hamiz , P. Marlia , A. H. S. Nurhasmiza , Z. Othman , N. A. S. Nilam
Dialogical inquiry on astrology offers the participants to gain not only the intellectual and technological knowledge on the subject matter but also the social benefit of the interaction. Different cultures and values may pose as a challenge for adaptation when the participants start to collaborate in order to complete the group work. Hence, multiple sessions of cross-cultural interaction through Astronomy Online Labs had been conducted to give the participants a standardized platform to discuss and communicate. However, it is imperative to observe the content and frequency of the interaction to ensure both parties (Local and Non-local) benefited from such interaction. The interaction had been recorded and analysed to give us some insights for the improvement of the future participants’ engagement. The visualization techniques such as word cloud, word forest, timeline as well as Venn diagram approaches had been used and it is observed that the participants are actively communicating with the Non-local slightly dominating the session. It is hoped that the analysis tool can be embedded in the platform that it can provide dynamic analysis on the go while interaction happens so the moderator can steer the interaction to the intended topic.
Volume: 16
Issue: 1
Page: 508-515
Publish at: 2019-10-01

Comparison of malware detection techniques using machine learning algorithm

10.11591/ijeecs.v16.i1.pp435-440
Nur Syuhada Selamat , Fakariah Hani Mohd Ali
Currently, the volume of malware grows faster each year and poses a thoughtful global security threat. The number of malware developed increases as computers became interconnected, at an alarming rate in the 1990s. This scenario resulted the increment of malware. It also caused many protections are built to fight the malware. Unfortunately, the current technology is no longer effective to handle more advanced malware. Malware authors have created them to become more difficult to be evaded from anti-virus detection. In the current research, Machine Learning (ML) algorithm techniques became more popular to the researchers to analyze malware detection. In this paper, researchers proposed a defense system which uses three ML algorithm techniques comparison and select them based on the high accuracy malware detection. The result indicates that Decision Tree algorithm is the best detection accuracy compares to others classifier with 99% and 0.021% False Positive Rate (FPR) on a relatively small dataset.
Volume: 16
Issue: 1
Page: 435-440
Publish at: 2019-10-01

The best quintic Chebyshev approximation of circular arcs of order ten

10.11591/ijece.v9i5.pp3779-3785
Abedallah M. Rababah
Mathematically, circles are represented by trigonometric parametric equations and implicit equations. Both forms are not proper for computer applications and CAD systems. In this paper, a quintic polynomial approximation for a circular arc is presented. This approximation is set so that the error function is  of degree $10$ rather than $6$; the Chebyshev error function equioscillates $11$ times rather than $7$; the approximation order is $10$ rather than $6$. The method approximates more than the full circle with Chebyshev   uniform error  of  $1/2^{9}$. The examples show the competence and simplicity of the proposed approximation, and that it can not be improved.
Volume: 9
Issue: 5
Page: 3779-3785
Publish at: 2019-10-01

Numerical solution for a new fuzzy transform of hyperbolic goursat partial differential equation

10.11591/ijeecs.v16.i1.pp292-298
Nur Syazana Saharizan , Nurnadiah Zamri
The main objective of this paper is to present a new numerical method with utilization of fuzzy transform in order to solve various engineering problems that represented by hyperbolic Goursat partial differentical equation (PDE). The application of differential equations are widely used for modelling physical phenomena. There are many complicated and dynamic physical problems involved in developing a differential equation with high accuracy. Some problems requires a complex and time consuming algorithms. Therefore, the application of fuzzy mathematics seems to be appropriate for solving differential equations due to the transformation of differential equations to the algebraic equation which is solvable. Furthermore, development of a numerical method for solving hyperbolic Goursat PDE is presented in this paper. The method are supported by numerical experiment and computation using MATLAB. This will provide a clear picture to the researcher to understand the utilization of fuzzy transform to the hyperbolic Goursat PDE.
Volume: 16
Issue: 1
Page: 292-298
Publish at: 2019-10-01

The optimization of leased line distribution at the EDGE of local access network via WAN convergence network

10.11591/ijeecs.v16.i1.pp333-341
Nor Shahniza Kamal Bashah , Nor Haizon Husin , Syaripah Ruzaini Syed Aris , Norjansalika Janom , Noor Habibah Arshad
Managing the multiple services of the leased line at the same location is quite critical especially when the resource become highly utilized. Bundling the several network resource components into a one box by simplifying the multiple networks to a single network can help to reduce the utilization of network resources. This paper presents a study on optimiziation of leased line distribution at the EDGE of Local Access Network via WAN convergence network. In this study, a WAN Convergence Network is designed which intends to use only a single leased line network in a location rather than multiple leased lines. It is using a simple concept of SDH structured which channelized the time slots and control the transmission line. The time slots will be relocated from the multiple leased lines into a WAN Convergence Network and it will be de-multiplexed through the Data Circuit Terminating Equipment (DCE) at the customer premises. The WAN Convergence Network design starts from the Digital Data Network (DDN) until the DCE which includes the Local Access Network. This approach will be able to save the network resource especially the time slots, cable port, DCE and consequently avoid adding new network infrastructure. This research will result to the new network design which offer multiple leased line networks at the customer end by using only one dedicated leased line network namely WAN Convergence Network.
Volume: 16
Issue: 1
Page: 333-341
Publish at: 2019-10-01

Reviewing effectivity in security approaches towards strengthening internet architecture

10.11591/ijece.v9i5.pp3862-3871
Vidya M. S. , Mala C. Patil
The usage of existing Internet architecture is shrouded by various security loopholes and hence is highly ineffective towards resisting potential threats over internet. Hence, it is claimed that future internet architecture has been evolved as a solution to address this security gaps of existing internet architecture. Therefore, this paper initiates its discussion by reviewing the existing practices of web security in conventional internet architecture and has also discussed about some recent solutions towards mitigating potentially reported threats e.g. cross-site scripting, SQL inject, and distributed denial-of-service. The paper has also discussed some of the recent research contribution towards security solution considering future internet architecture. The proposed manuscripts contributes to showcase the true effectiveness of existing approaches with respect to advantages and limitation of existing approaches along with explicit highlights of existing research problems that requires immediate attention.
Volume: 9
Issue: 5
Page: 3862-3871
Publish at: 2019-10-01

Comparing machine learning and ensemble learning in the field of football

10.11591/ijece.v9i5.pp4321-4325
Shuaib Khan , Kirubanand V. B
Football has been one of the most popular and loved sports since its birth on November 6th, 1869. The main reason for this is because it is highly unpredictable in nature. Predicting football matches results seems like the perfect problem for machine learning models. But there are various caveats such as picking the right features from an enormous number of available features.  There have been many models which have been applied to various football-related datasets. This paper aims to compare Support Vector Machines a machine learning model and XGBoost an Ensemble learning model and how Ensemble Learning can greatly improve the accuracy of the predictions.
Volume: 9
Issue: 5
Page: 4321-4325
Publish at: 2019-10-01

Inside: a model for interactive and immersive synchronous media in MOOC courses

10.11591/ijeecs.v16.i1.pp456-464
Lizzam Abdul Latiff , Azhar Abdul Aziz , Afiza Ismail , Mudiana Mokhsin
MOOC or Massive Online Open Course is increasingly adopted by Universiti Teknologi MARA as one of the e-learning methods. It is estimated that 900 courses will be offered by end of 2018, in line with the Malaysian Government’s push for better utilization of Information and Communication Technology (ICT) in education. This creates an opportunity to introduce MOOC as a legitimate full alternative to lecture classes. However, learners in a MOOC setting are at a disadvantage when compared to conventional classroom in learner-learner and learner-instructor interaction. There is a huge temporal gap that exists by nature of how the courses are conducted. InSIDE is developed as a model that introduces synchronous interactivity and immersive component within MOOC. To facilitate interaction in this setting, InSIDE suggests a dedicated moderator to accompany the lecture. The model also utilizes a “go high and fail gracefully” approach to overcome the devices, connectivity and infrastructural challenge. In pursuant of the creation of a model that can be used in UiTM, interviews with UiTM’s MOOC facilitators and lecturers were conducted to gain insights on the behind-the-scene processes of creating and managing a course. In order to ensure that the model is feasible within existing infrastructure, a Proof of Concept was conducted with an actual lecture. InSIDE was also presented to three experts on MOOC in UITM. From the qualitative data obtained, 2 out of 3 experts agree that the InSIDE have the possibility to improve MOOC delivery, while one expert agree with reservation in regards required hardware and infrastructure required.
Volume: 16
Issue: 1
Page: 456-464
Publish at: 2019-10-01

Practical understanding of the operating principle of digital communication systems

10.11591/ijeecs.v16.i1.pp299-310
Gebrehiwet Gebrekrstos Lema , Teklehaymanot Baweke Reda , Dawit Hailu , Tole Sutikno
There are many students and researcher who doesn’t really understand the practical operating principle of digital communication system. Hence in this paper, the digital communication system is studied and simulated. In the system kit development text and audio inputs are taken and encrypted with different encryption techniques including additive cipher, multiplicative cipher and affine ciphers. The encrypted data is converted in to an 8-bit binary, channel encoded with distinct channel coding styles like linear block encoder, cyclic encoder and convolutional encoder, line coded and band pass modulated by different digital modulation techniques. Finally, the developed software is tested with equivalent inputs of the current national TV broadcasting and the results found are correct according to the theoretical analysis of the discussion.
Volume: 16
Issue: 1
Page: 299-310
Publish at: 2019-10-01

A detailed investigation of the impact of online transportation on Bangladesh economy

10.11591/ijeecs.v16.i1.pp420-428
Abbas Ali Khan , M. Raki Billah , Chandan Debnath , Sadekur Rahman , Md. Tarek Habib , Gazi Zahirul Islam
Transportation is one of the main part of our daily life especially in Dhaka City where traffic jam, security, harassment of fare and other problems are big issue at conventional vehicle. A couple of year ago since 2016 the online maintain vehicle has introduced by “Pathao” and “Ubar” both have car and motor cycle ride share. The main purpose of this paper is to focus the facilities of IT on transport basis of security, transparent cash-on-delivery, hassle-free communication, reduce waiting time for the passenger and the impact of IT on Bangladesh economy.
Volume: 16
Issue: 1
Page: 420-428
Publish at: 2019-10-01

Pilot reuse sequences for TDD in downlink multi-cells to improve data rates

10.12928/telkomnika.v17i5.12809
Adeeb; Universiti Tun Hussein Onn Malaysia Salh , Lukman; Universiti Tun Hussein Onn Malaysia Audah , Nor S. M.; Universiti Tun Hussein Onn Malaysia Shah , Shipun A.; Universiti Tun Hussein Onn Malaysia Hamzah
The exponential growth in demand for high data rate transmission to users in fifth generation wireless networks, focus there has been a particular research focus on new techniques that achievable high data rate by suppressing interference between neighboring cells. In this paper, we propose that system performance can be improved by using perfect channel estimation and reducing effective interference with pilot reuse that mitigate strong pilot contamination based on the knowledge of large-scale fading coefficients. We derived the lower bounds on the achievable data rate in downlink by analyzing the performance of the zero-forcing precoding method and derive the signal-to-interference noise ratio to mitigate interference between neighboring cells. From the simulation results, the large pilot reuse sequences improved the achievable data rate and provided better estimation for a channel. When the number of users is large, the interference between neighboring cells can be suppressed by using orthogonal pilot reuse sequences.
Volume: 17
Issue: 5
Page: 2161-2168
Publish at: 2019-10-01

A new Leach protocol based on ICH-Leach for adaptive image transferring using DWT

10.12928/telkomnika.v17i5.12446
Abdelali; University Mohammed V Zbakh , Mohamed Taj; University of Sidi Mohamed Ben Abdellah Bennani
Nowadays, the rapid development and the miniaturization of CMOS image sensors in the last years allowed the creation of WMSN (Wireless Multimedia Sensor Network). Therefore, transferring images through the network becomes an important field of research. The main goal is to transmit the data from a sensor node to another to reach finally the Sink node. Thus, routing protocols play an important role in managing and optimizing the node's resources particularly the energy consumption. Therefore, some routing protocols are known by their ability to save energy and extend the lifetime of the network such as Leach protocol and derived variants. However, multimedia content transferring was not a priority for these protocols. In this paper, the main idea is to adapt ICH-Leach [1], for image transferring. This protocol was tested in a previous work and has given good performances against Leach [2], balanced Leach [3] and MLD-Leach [4]. In fact, the Haar wavelet transform is used, in the application layer, to extract the resolution level to be used in image transmission, depending on the rate flow between the sensor node and the sink node. This paper provides statistics concerning the lifetime of the network, the energy consumption and statistics related to receive images using the peak signal-to-noise ratio (PSNR). The Castalia framework is used for simulation, obtained results show the efficiency of the proposed approach by network lifetime extending and more images transmitting with better quality compared to other protocols.
Volume: 17
Issue: 5
Page: 2418-2426
Publish at: 2019-10-01

Improving compliance with bluetooth device detection

10.12928/telkomnika.v17i5.12929
Martin; Letterkenny Institute of Technology Davies , Eoghan; Letterkenny Institute of Technology Furey , Kevin; Ulster University Curran
The number of devices containing Bluetooth chipsets is continuing to rise and there exists a need to stem the tidal wave of vulnerabilities brought by the Bring Your Own Device (BYOD) and Internet of Things (IoT) phenomena. With Bluetooth enabled but discovery mode turned off, auditing for Bluetooth devices, or creating an accurate Bluetooth device hardware log is limited. The software tools and hardware devices to monitor WiFi networking signals have long been a part of the security auditor’s arsenal, but similar tools for Bluetooth are bespoke, expensive, and not adopted by most security pentesters. However, this has changed with the introduction of the Ubertooth One, a low-cost and open-source platform for monitoring Bluetooth Classic signals. Using a combination of the Ubertooth One, and other high-power Bluetooth devices, an auditor should now be able to actively scan for rogue devices that may otherwise have been missed. This research examines various hardware combinations that can be used to achieve this functionality, and the possible implications from a compliance point of view, with a focus on the standards used by the Payment Card Industry Data Security Standard (PCI-DSS), and the guidelines offered by the National Institute of Standards and Technology (NIST). We compare the results of scanning with traditional Bluetooth devices as opposed to an Ubertooth/Bluetooth combination. We show how the ability to monitor a larger portion of Bluetooth traffic can highlight serious implications in the compliance landscape of many organisations and companies. We demonstrate that identifying non-discoverable devices with Bluetooth enabled is a crucial element in holistic security monitoring of threats.
Volume: 17
Issue: 5
Page: 2355-2369
Publish at: 2019-10-01
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