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31,456 Article Results

Electric distribution network reconfiguration for power loss reduction based on runner root algorithm

10.11591/ijece.v10i5.pp5016-5024
Thuan Thanh nguyen
This paper proposes a method for solving the distribution network reconfiguration (NR) problem based on runner root algorithm (RRA) for reducing active power loss. The RRA is a recent developed metaheuristic algorithm inspired from runners and roots of plants to search water and minerals. RRA is equipped with four tools for searching the optimal solution. In which, the random jumps and the restart of population are used for exploring and the elite selection and random jumps around the current best solution are used for exploiting. The effectiveness of the RRA is evaluated on the 16 and 69-node system. The obtained results are compared with particle swarm optimization and other methods. The numerical results show that the RRA is the potential method for the NR problem.
Volume: 10
Issue: 5
Page: 5016-5024
Publish at: 2020-10-01

Framework for opinion as a service on review data of customer using semantics based analytics

10.11591/ijece.v10i5.pp5453-5461
Rajeshwari D. , Vagdevi S.
At Opinion mining plays a significant role in representing the original and unbiased perception of the products/services. However, there are various challenges associated with performing an effective opinion mining in the present era of distributed computing system with dynamic behaviour of users. Existing approaches is more laborious towards extracting knowledge from the reviews of user which is further subjected to various rounds of operation with complex procedures. The proposed system addresses the problem by introducing a novel framework called as Opinion-as-a-Service which is meant for direct utilization of the extracted knowledge in most user friendly manner. The proposed system introduces a set of three sequential algorithm that performs aggregated of incoming stream of opinion data, performing indexing, followed by applying semantics for extracting knowledge. The study outcome shows that proposed system is better than existing system in mining performance.
Volume: 10
Issue: 5
Page: 5453-5461
Publish at: 2020-10-01

Parallel distribution compensation PID based on Takagi-Sugeno fuzzy model applied on egyptian load frequency control

10.11591/ijece.v10i5.pp5274-5287
M. A. Ghany , Mohamed A. Shamseldin
This paper presents a new technique for a Takagi-Sugeno (TS) fuzzy parallels distribution compensation-PID'S (TSF-PDC-PID'S) to improve the performance of Egyptian load frequency control (ELFC). In this technique, the inputs to a TS Fuzzy model are the parameters of the change of operating points. The TS Fuzzy model can definite the suitable PID control for a certain operating point. The parameters of PID'S controllers are obtained by ant colony optimization (ACO) technique in each operating point based on an effective cost function. The system controlled by the proposed TSF-PDC-PID’S is investigated under different types of disturbances, uncertainty and parameters variations. The simulation results ensure that the TSF-PDC-PID'S can update the suitable PID controller at several operating points so, it has a good dynamic response under many types of disturbances compared to fixed Optimal PID controller.
Volume: 10
Issue: 5
Page: 5274-5287
Publish at: 2020-10-01

Utilizing CaCO3, CaF2, SiO2, and TiO2 particles to enhance color homogeneity and luminous flux of WLEDs

10.11591/ijece.v10i5.pp5175-5182
Nguyen Thi Phuong Loan , Nguyen Doan Quoc Anh
The chromatic homogeneity and luminous efficiency are two crucial elements for determining a high-quality phosphor-converted LEDs (pc-LEDs). Thus, this paper provides essential information in choosing the particles to enhance lighting properties of high performance pc-LEDs. Scattering enhancement particles (SEP) such as CaCO3, CaF2, SiO2, and TiO2, are combined with yellow phosphor Y3Al5O12:Ce3+ and applied to the lighting devices. Initially, optical simulations are carried out with the support of LightTools program. Next, the Mie-theory is applied to calculate and confirm the results. The calculation subjects are SEPs scattering properties within the band 455 -595 nm. The scattering results of TiO2 suggest it is the optimal choice for pc-LEDs color quality in comparison to the other SEPs; however, it causes the luminous flux to decrease significantly along with the increase in its concentration. Besides, with the addition of SiO2 grains, we can accomplish higher lumen output at all particle sizes. Meanwhile, the application of 30% CaCO3 can decrease the CCT deviation by 620 K making CaCO3 the potential particle to be selected for chromatic quality and light output enhancement of pc-LEDs.
Volume: 10
Issue: 5
Page: 5175-5182
Publish at: 2020-10-01

A new perspective of refractive error calculation with mobile application

10.11591/ijece.v10i5.pp4892-4899
Komang Candra Brata , Mukhammad Sharif Hidayatulloh , Lutfi Fanani , Adam Hendra Brata
In many situations, not standardized and limited access to eye health care in several regions of Indonesia becomes the main challenge for myopia patients to measure and monitor their current refractive error condition. Many apps were proposed to provide low-cost alternative measurement tools rather than expensive tools such as Phoropter with Snellen chart and Retinoscopy, but still, those apps need an Internet connection and manually complex steps to operate. These conditions make myopia patients reluctant to use this kind of service. In this regard, we propose an intuitive diopter level measurement app based on mobile application setup, which implements the concept of measure the user face to smartphone screen distance for the rapid diopter calculation processes and at the same time provides a low-cost alternative refractive measurement tool. This paper highlights our experiences when developing a mobile application that can help patients with myopia measuring their blur line distances and evaluate their diopter levels independently. We conduct a number of human trials with the device on a controlled environment to demonstrate the ability of the proposed app to measure the diopter level. The experimental results show that the proposed app is quite successful in measuring the diopter level of myopia patients with a relatively small range of calculation errors compared to optometrist measurement results.
Volume: 10
Issue: 5
Page: 4892-4899
Publish at: 2020-10-01

An interactive approach for solar energy system: design and manufacturing

10.11591/ijece.v10i5.pp4478-4489
Benbaziz Djallal Eddine Mahdi , Hassini Abdelatif , Mohammed Amine Zafrane
The energy production in the word is a very complex problem with decreasing the pollution. Therefore, the aim is to find an optimal solution, this research focuses on the development and the optimization of parabolic concentrator using an interactivity approach and virtual design tools. Recently, several works have been developed in this area. In this study, a new conception, design Optimization approach has been involved in system energy design including new concept. The design strategy has been successfully applied to design problems. The optimizer tool developed for based on Heuristic: Gravitational Search Algorithm. The results of the presented in this paper are significant in the system energy design, which presents an effective approach of development by reducing the cost of installation, the time of analysis by increasing the radiation and solar flux concentrated within the parabola generating an increase in accumulated energy.
Volume: 10
Issue: 5
Page: 4478-4489
Publish at: 2020-10-01

Numerical simulation of DIC drying process on matlab distributed computing server

10.11591/ijeecs.v20.i1.pp338-346
Hafizah Farhah Saipan Saipol , Norma Alias
Instant controlled pressure drop, also known as DIC, is one of the drying techniques that has been used for texturing, extracting and drying various food products. Mathematical model has been used to explain the drying process, although most of the studies focused on the statistical regression model approach. Due to the limitations of regression model, which neglects the fundamental of dehydration process, this paper presents the development of mathematical models to detect, solve and visualize the three-dimensional (3D) heat and mass transfer in DIC drying process. Finite difference method (FDM) with central difference formula is used to discretize the mathematical models. A large sparse of system of linear equation (SLE), which represents the actual drying process, is solved by using some numerical methods, such as jacobi (JB), red black gauss seidel (RBGS), alternating group explicit with douglas (AGED) and brian (AGEB) methods. Based on the numerical results, high execution time and high computational complexity have been shown. In order to reduce the execution time and computational complexity, the parallel algorithm based on domain decomposition technique has been implemented on the MATLAB distributed computing server (MDCS). The parallel algorithm of the numerical methods was evaluated and compared based on the parallel performance metrics: execution time, speed up, efficiency, effectiveness, temporal performance and granularity. From the parallel performance metrics, it was found that the PAGEB approach had better performance, followed by PAGED, PRBGS and PJB methods.
Volume: 20
Issue: 1
Page: 338-346
Publish at: 2020-10-01

The resistance of routing protocols against DDOS attack in MANET

10.11591/ijece.v10i5.pp4844-4852
Maha Abdelhaq , Raed Alsaqour , Mada Alaskar , Fayza Alotaibi , Rawan Almutlaq , Bushra Alghamdi , Bayan Alhammad , Malak Sehaibani , Donia Moyna
A Mobil Ad hoc Network (MANET) is a wireless multi-hop network with various mobile, self-organized and wireless infrastructure nodes. MANET characteristics such as openness restricted resources and decentralization impact node efficiency and made them easy to be affected by various security attacks, especially Distributed Denial of Service (DDoS) attacks. The goal of this research is to implement a simulation model called DDoS Attack Simulation Model (DDoSM) in Network Simulator 2(NS-2) and to examine the effect of DDoS Attack on various routing protocol types in MANET namely: Zone Routing Protocol (ZRP), Ad hoc On-Demand Distance Vector (AODV) protocol and Location-Aided Routing (LAR) protocol. The introduced model uses the NS-2 simulator to apply DDoS on the three chosen routing protocols. In terms of throughput and end-to-end latency under the consequences of the attack, the performance of three routings protocols was analyzed.
Volume: 10
Issue: 5
Page: 4844-4852
Publish at: 2020-10-01

Design and implementation of a novel secured and wide WebRTC signalling mechanism for multimedia over internet

10.11591/ijece.v10i5.pp5430-5435
Naktal Edan , Enas Y. Abdullah
A modern and free technology called web real-time communication (WebRTC) was enhanced to allow browser-to-browser multimedia communication without plugins. In contract, WebRTC has not categorised a specific signalling mechanism to set, establish and end communication between browsers. The primary target of this application is to produce and implement a novel WebRTC signalling mechanism for multimedia communication between different users over the Internet without plugins. Furthermore, it has been applied over different browsers, such as Explorer, Safari, Google Chrome, Firefox and Opera without any downloading or fees. This application designed using JavaScript language under ASP.net and C# language. Moreover, to prevent irrelevant users from accessing or attacking the session, user-id for initiating and joining the course using encryption technique was done. This system has been employed in real implementation among various users; therefore, an evaluation of bandwidth consumption, CPU, and quality of experience (QoE) was accomplished. The results show an original signalling mechanism which applied to different browsers, multiple users, and diverse networks such as Ethernet and Wireless. Besides, it sets session initiator, saves the communication efficient even if the initiator leaves, and communicating new participator with existing participants, etc. This studying focuses on the creation of a new signalling mechanism, the limitations of resources for WebRTC video conferencing.
Volume: 10
Issue: 5
Page: 5430-5435
Publish at: 2020-10-01

Deep image mining for convolution neural network

10.11591/ijeecs.v20.i1.pp347-352
Dhamea A. Jasm , Murtadha M. Hamad , Azmi Tawfek Hussein Alrawi
Image mining is the method of searching and discovering valuable information and knowledge from a huge image dataset. Image mining is based on data mining, digital image processing, machine learning, image retrieval, and artificial intelligence. Image mining handled with the hidden information extraction, an association of image data and additional pattern which are not clearly visible in the image. Choosing the proper objects or the feature of the image to be suitable for image mining process is the main challenge would face the programmer. The process includes fine out the most efficient routes at a shorter time and saving the users effort. The main objective of this paper is to design and implement the image classification system with a higher performance, where a CIFAR-10 data set is used to train and testing classification models using CNN. A convolutional neural network is trustworthy, and it could lead to high-quality results. The high accuracy of 98% has been obtained using deep convolutional neural network (DCNN).
Volume: 20
Issue: 1
Page: 347-352
Publish at: 2020-10-01

Optimal scheduling of smart microgrids considering electric vehicle battery swapping stations

10.11591/ijece.v10i5.pp5093-5107
J. Garcia -Guarin , W. Infante , J. Ma , D. Alvarez , S. Rivera
Smart microgrids belong to a set of networks that operate independently. These networks have technologies such as electric vehicle battery swapping stations that aim to economic welfare with own resources of smart microgrids. These resources should support other services, for example, the supply of energy at peak hours. This study addresses the formulation of a decision matrix based on operating conditions of electric vehicles and examines economically viable alternatives for a battery swapping station. The decision matrix is implemented to manage the swapping, charging, and discharging of electric vehicles. Furthermore, this study integrates a smart microgrid model to assess the operational strategies of the aggregator, which can act like a prosumer by managing both electric vehicle battery swapping stations and energy storage systems. The smart microgrid model proposed includes elements used for demand response and generators with renewable energies. This model investigates the effect of the wholesale, local and electric-vehicle markets. Additionally, the model includes uncertainty issues related to the planning for the infrastructure of the electric vehicle battery swapping station, variability of electricity prices, weather conditions, and load forecasting. This article also analyzes how both the user and the providers maximize their economic benefits with the hybrid optimization algorithm called variable neighborhood search - differential evolutionary particle swarm optimization. The strategy to organize the infrastructure of these charging stations reaches a reduction of 72% in the overall cost. This reduction percentage is obtained calculating the random solution with respect to the suboptimal solution.
Volume: 10
Issue: 5
Page: 5093-5107
Publish at: 2020-10-01

A new approach to image classification based on a deep multiclass AdaBoosting ensemble

10.11591/ijece.v10i5.pp4872-4880
Hasan Asil , Jamshid Bagherzadeh
In recent years, deep learning methods have been developed in order to solve the problems. These methods were effective in solving complex problems. Convolution is one of the learning methods. This method is applied in classifying and processing of images as well. Hybrid methods are another multi-component machine learning method. These methods are categorized into independent and dependent types. Ada-Boosting algorithm is one of these methods. Today, the classification of images has many applications. So far, several algorithms have been presented for binary and multi-class classification. Most of the above-mentioned methods have a high dependence on the data. The present study intends to use a combination of deep learning methods and associated hybrid methods to classify the images. It is presumed that this method is able to reduce the error rate in images classification. The proposed algorithm consists of the Ada-Boosting hybrid method and bi-layer convolutional learning method. The proposed method was analyzed after it was implemented on a multi-class Mnist data set and displayed the result of the error rate reduction. The results of this study indicate that the error rate of the proposed method is less than Ada-Boosting and convolution methods. Also, the network has more stability compared to the other methods.
Volume: 10
Issue: 5
Page: 4872-4880
Publish at: 2020-10-01

Improving the voltage quality of Abu Hummus network in Egypt

10.11591/ijece.v10i5.pp4458-4468
Ibrahim A. Nassar , Mohammed Sh. Seif , Mahmoud M. ElAttar
In this paper the performance of the electrical network of Egypt is studied by considering a small part on the network (Abu Hummus city). The transmission network of Abu Hummus city was created for 66 kV, 11 kV, and 0.4 kV in the digital simulation and electrical network calculation (DIgSILENT power factory software) to study the voltage profiles. The load flow operational analysis was performed to obtain the voltage magnitudes at every bus bar. The voltage magnitudes in 11 kV and 0.4 kV networks were 10% to 15% less than the nominal value due to overloading off the transmission lines and the voltage magnitudes in 66 kV was within permissible limits. By using automatic tap-changing transformer or Static VAR System, the main idea of this paper is to obtain the voltage profiles at every bus bar to improve the voltage quality of the networks, so as to achieve better voltage profiles on the low voltage side without much effect on high voltage side under various operating conditions.
Volume: 10
Issue: 5
Page: 4458-4468
Publish at: 2020-10-01

A prior case study of natural language processing on different domain

10.11591/ijece.v10i5.pp4928-4936
Shruthi J. , Suma Swamy
In the present state of digital world, computer machine do not understand the human’s ordinary language. This is the great barrier between humans and digital systems. Hence, researchers found an advanced technology that provides information to the users from the digital machine. However, natural language processing (i.e. NLP) is a branch of AI that has significant implication on the ways that computer machine and humans can interact. NLP has become an essential technology in bridging the communication gap between humans and digital data. Thus, this study provides the necessity of the NLP in the current computing world along with different approaches and their applications. It also, highlights the key challenges in the development of new NLP model.
Volume: 10
Issue: 5
Page: 4928-4936
Publish at: 2020-10-01

An efficient hardware logarithm generator with modified quasi-symmetrical approach for digital signal processing

10.11591/ijece.v10i5.pp4671-4678
Minh-Hong Nguyen
This paper presents a low-error, low-area FPGA-based hardware logarithm generator for digital signal processing systems which require high-speed, real time logarithm operations. The proposed logarithm generator employs the modified quasi-symmetrical approach for an efficient hardware implementation. The error analysis and implementation results are also presented and discussed. The achieved results show that the proposed approach can reduce the approximation error and hardware area compared with traditional methods.
Volume: 10
Issue: 5
Page: 4671-4678
Publish at: 2020-10-01
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