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Design and implement a self-managed computer network for electronic exams and sharing

10.11591/ijeecs.v19.i1.pp466-475
Mokhaled N. Abdullah , Ihab A. Satam , Raid W Daoud , Suhail N. Shihab , Haider A. Kamel
To implement electronic exams and material resources sharing (which is usually limited), an operating base is must be available for trading information and correspondence management. In this paper, self-managed computer networks, no server was designed. This network aims to share information and correspondence management between the laboratory`s computers. A specific software called Packet tracer used for designing and simulating the network, also for choosing the right medium and install the IP address so that a maximum of data flowing with minimum time and no data loss can be achieved. A class-C IP address was selected since it is the famous class and it doesn`t need any special equipment. Also it has a wide range of of computers in case of expanding the network. We didn`t use a wireless medium to protect the network from hacking. The network was based on an Ethernet medium and a star-connection between the computers with an average signal distributer. An excellent result was achieved after testing the network with a low error percentage, as shown in the result section of this paper.
Volume: 19
Issue: 1
Page: 466-475
Publish at: 2020-07-01

A vision-based real-time obstacle avoidance’s rules utilising grid-edge-depth map

10.11591/ijeecs.v19.i1.pp513-525
Budi Rahmani , Agus Harjoko , Tri Kuntoro Priyambodo
This paper presents a new rules-based of a real-time decision system for an autonomous wheeled robot with the holonomic-drive system. The robot uses decisions to avoid collisions with obstacles. The decision rules based on Grid-Edge-Depth Map. The Grid-Edge-Depth map represents the obstacle’s position and distance in the environment. The generation process of the Grid-Edge-Depth map presented in previous research. The decisions of the first scenario with no destination point are forward, stop, 90o right turn, and 90o left turn. The decisions of the second, and third scenarios with a destination point are forward, stop, 90o right turn, 90o left turn, 45o forward to the right, 45o forward to the left, slide to the right, and slide to the left. The proposal tested in a 5x3 metre living environment. Finally, the experiment resulted in 93.3% of navigation’s success for all the scenarios.
Volume: 19
Issue: 1
Page: 513-525
Publish at: 2020-07-01

Job satisfaction evaluation based on fuzzy conjoint method with continuous fuzzy sets

10.11591/ijeecs.v19.i1.pp363-370
Nor Azni Shahari , Khairulanwar Rasmani
Fuzzy conjoint method (FCM) is one of the available methods suggested for job satisfaction evaluation. The main feature of job satisfaction evaluation is the use of rating of agreement to indicate employee feelings and beliefs about their job. Currently the linguistic terms used for rating of agreement in FCM are represented in the form of discrete fuzzy sets.  This paper investigates the potential use of continuous fuzzy sets to represent linguistic terms used in the FCM process. To investigate the consistency of the decision outcomes produced by the proposed approach, four different types of fuzzy similarity measures were used: similarity based on Matching Function, similarity based on Euclidean Distance, similarity based on Set-Theoretic and similarity based on vector. These classification outcomes are also compared with classification drawn on the basis of statistical inference.  The finding of this study shows that both discrete fuzzy sets and continuous fuzzy sets produce consistent results regardless of whether the fuzzy similarity measure was used. Hence, the inclusion of other methods in FCM is particularly very useful for calculating the closeness coefficients and specifically addresses the shortcoming in FCM for job satisfaction evaluation. 
Volume: 19
Issue: 1
Page: 363-370
Publish at: 2020-07-01

Methodology for developing a web configurator for technology cabinets

10.11591/ijeecs.v19.i1.pp42-46
Shafik Shaehovich Khuzyatov , Lenar Ajratovich Galiullin
Current trends in the development of Internet technologies are very promising, their role in the functioning of enterprises is increasing significantly. Internet technologies are tools that allow you to interact with potential customers and consumers, receive feedback from them. At the same time, factors of physical remoteness are practically nullified. The situation with the rapid development of the Internet market means that in the process of forming the necessary configurations of technological cabinets for industrial facilities management systems, the use of manual labor should be minimized. The standard approach uses paper media, which leads to a large investment of time in the formation of the necessary configurations and the calculation of their cost. In this regard, increases the complexity of the work performed and the likelihood of errors in the calculations. Thus, the following problems can be formed: the lack of sufficient mechanisms for operational interaction with potential customers; time consuming paper handling; the complexity of the operations; high probability of errors in the calculations; lack of operational access to the necessary information.
Volume: 19
Issue: 1
Page: 42-46
Publish at: 2020-07-01

Stability and reliability of low voltage hybrid AC-DC microgrids power flow model in islanding operation

10.11591/ijeecs.v19.i1.pp32-41
hasti afianti , Ontoseno Penangsang , Adi Soeprijanto
The problem of decreasing and increasing power flow in hybrid AC-DC microgrids in island operations is the concern of this research. This condition arises if one sub-microgrid cannot supply load power requirements, either due to a decrease in power at the source or an increase in load on the sub-microgrid network. As a result, in this research used the bidirectional converter as an interlinking converter, the converter can change the power flow from the ac sub microgrid to the dc sub microgrid and vice versa. With this bidirectional converter, load power requirements can be met even though there is a power change in one of the sub microgrid. The simulation in this research support by Simulink/Matlab software. The model is built in a low voltage system, and the power flow analysis is in steady-state condition with two different cases. The simulation results show the stability and reliability of the power flow in both sub microgrid with stable frequency and voltage when power and load change occur.
Volume: 19
Issue: 1
Page: 32-41
Publish at: 2020-07-01

Self-select target neighboring base station assisted handover for natural disaster in LTE-A network

10.11591/ijeecs.v19.i1.pp309-316
Azita Laily Yusof , Ainnur Eiza Azhar , Norsuzila Ya’acob
This paper presents Self-Select Target Neighboring Base Station Assisted Handover for Natural Disaster in LTE-A Network. In this study, two parameters have been introduced which are known as received signal strength of user (RSS) and left over power of base station (LoP) in order to maintained good QoS of UE and prolong battery life of base station when there is power outage. A distance fraction coefficient (α) with value 0.2 has been introduced to RSS expression to improve the signal strength by reducing the area that the UE’s covered. Both parameters are used to calculate weighted-average score (WAS) for selection of potential target base station to avoid more users to connect to the affected base station. From the results, sRSS=0.8 gave the highest WAS with value of WAS=0.84 for users from 1 to 100 compares to other value of sRSS. Moreover, by using no natural disaster condition as reference, Condition 1 (wRSS=80%, wLoP=20% ) with the lowest percentage of improvement (3.75%.) will be chosen as handover condition as it near to base station, avoid overloaded users to the affected base station, hence prolong battery life as it only use 20% of battery usage.
Volume: 19
Issue: 1
Page: 309-316
Publish at: 2020-07-01

A comparative review on deep learning models for text classification

10.11591/ijeecs.v19.i1.pp325-335
Muhammad Zulqarnain , Rozaida Ghazali , Yana Mazwin Mohmad Hassim , Muhammad Rehan
Text classification is a fundamental task in several areas of natural language processing (NLP), including words semantic classification, sentiment analysis, question answering, or dialog management. This paper investigates three basic architectures of deep learning models for the tasks of text classification: Deep Belief Neural (DBN), Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN), these three main types of deep learning architectures, are largely explored to handled various classification tasks. DBN have excellent learning capabilities to extracts highly distinguishable features and good for general purpose. CNN have supposed to be better at extracting the position of various related features while RNN is modeling in sequential of long-term dependencies. This paper work shows the systematic comparison of DBN, CNN, and RNN on text classification tasks. Finally, we show the results of deep models by research experiment. The aim of this paper to provides basic guidance about the deep learning models that which models are best for the task of text classification.
Volume: 19
Issue: 1
Page: 325-335
Publish at: 2020-07-01

Evaluating kinetic light-shelves and their impacts on daylighting performance

10.11591/ijeecs.v19.i1.pp476-484
Ali A. S. Bahdad , S F Syed Fadzil , N Taib
This study aims to evaluate the natural illumination levels obtained using Light-Shelves Techniques (LST) under real tropical conditions in Malaysia. Two parameters of manually controllable of LST design have been examined; Location (L) and Position (P) which were placed on the south-façade window. A scaled-model experiment was applied to determine the illumination levels achieved by LST under real sky conditions. Computer simulation results using Radiance engine were used to validate the scaled-model method used indicators Daylight Ratio (DR%), and it observed to be in great concurrence with physical scaled-model data obtained under tropic sky which is mostly an intermediate sky. The maximum average level percentage of DR% differences between scaled-model and simulation was 1.8% (≤10%). The results showed the performance of the LST can be improved by controlling the location and position. The most optimal LST for south-facing orientation was found in different times at locations in the external L1 and L2 at P1 give the best illuminance near the window and the back. The best improvement in daylighting at deep office area (SP3) were 4.2% at 9:00h on Jan, 4.7% and 7.3% at 12:00h, and by 27% and 2.1% at 15:00h on Jan and March respectively.
Volume: 19
Issue: 1
Page: 476-484
Publish at: 2020-07-01

Competitive analysis of single and multi-path routing protocols in mobile Ad-Hoc network

10.11591/ijeecs.v19.i1.pp293-300
Mohammed Ahmed Jubair , Mustafa Hamid Hassan , Salama A. Mostafa , Hairulnizam Mahdin , Aida Mustapha , Luqman Hanif Audah , Farooq Sijal Shaqwi , Ali Hashim Abbas
A Mobile Ad-hoc Network (MANET) refers to a dynamic and wireless network, which can be designed without an existing infrastructure as every node serves as a router. A MANET is a self-configuring system of mobile nodes that are connected wirelessly. Every node serves as a sink, as well as a router to send packets. The movement of the nodes is not restricted as they can move in any direction, and they have the ability to get organized into a network. Due to their free and independent movement, they do not have a fixed position; they often change positions. In this study, the Dynamic Source Routing (DSR) and Ad-hoc On Multipath Demand Distance Vector (AOMDV) protocols are compared using Network Simulator NS2.35. DSR is a reactive gateway discovery algorithm whereby the connection of a MANET mobile device is established only on demand. Basically, AOMDV was specially tailored for ad-hoc networks that are highly dynamic to respond to link failures and breakages in the network. It ensures that the paths for destinations are sustained, and it defines the new routing information using destination serial numbers to ensure loop freedom always while avoiding problems. More so, it is a protocol that is based on a timer that can discover ways through which the mobile nodes respond to link breakages and change in topology. A comparison of protocols has been carried out individually and jointly with the aim of evaluating their performance. The performance is measured in terms of End-to-End Delay, Packet Delivery Ratio, Packet Loss Ratio, and Routing Overhead Ratio. The performance of the routing protocols was done using two scenarios; when there is a change in the simulation time and when there is a change in the number of nodes.
Volume: 19
Issue: 1
Page: 293-300
Publish at: 2020-07-01

A hardware system with ARM-based data processing for nano satellites

10.11591/ijres.v9.i2.pp102-108
Adrián Stacul , Daniel Pastafiglia , Ariel Di Giovanni , Martín Morales , Sergio Saluzzi , Gerardo García , Agustín Gadea , Ramiro Puga
The Institute of Scientific and Technical Research for Defense in Argentina (Instituto de Investigaciones Científicas y Técnicas para la Defensa - CITEDEF) is developing a processing hardware module based on a ARM Cortex M4 processor from STMicroelectronics. The microcontroller (MCU) has the capacity to run at a maximum clock frequency of 180 MHz, integrates a Floating Point Unit (FPU). An 8MB SDRAM was included for dynamic data allocation. This hardware will host and process the algorithms to calculate and determine the nanosatellite’s attitude. The module is intended to be Cubesat compatible, possess a flexible design, handles various inertial sensors and can manage backups on microSD memory cards with sizes up to 32GB.
Volume: 9
Issue: 2
Page: 102-108
Publish at: 2020-07-01

Efficient robust speech recognition with empirical mode decomposition using an FPGA chip with dual core

10.11591/ijres.v9.i2.pp109-115
Shing-Tai Pan , Ching-Fa Chen , Wen-Sin Tseng
The purpose of this paper is to accelate the computing speed of Empirical Mode Decomposition (EMD) based on multi-core embedded systems for robust speech recognition. A reconfigurable chip, Field Programmable Gate Array (FPGA), is used for the implementation of the designed system. This paper applies EMD to discompose some noised speech signals into several Intrinsic Mode Functions (IMFs). These IMFs will be combined to recover the original speech by multiplying their corresponding weights which were trained by Genetic Algorithms (GA). After applying Empirical Mode Decomposition (EMD), we obtain a cleaner speech for recognition. Due to the complexity of the computation of the EMD, a dual-core architecture of embedded system on FPGA is proposed to accelerate the computing speed of EMD for robust speech recognition. This will enhance the efficiency of embedded speech recognition system.
Volume: 9
Issue: 2
Page: 109-115
Publish at: 2020-07-01

Data ecryption based on multi-order FrFT, and FPGA implementation of DES algorithm

10.11591/ijres.v9.i2.pp141-152
A. Rabie , Kh. El Shafie , A. Hammuoda , M. Rohiem
Cryptography techniques need some algorithms for encryption of data. Most of available encryption techniques are used for textual data; a few of encryption methods are used for multimedia data; However, This Algorithms that are used for textual data may not be inefficient for multimedia, because it is size is greater than the text. Therefore, Cryptosystems need to find and develop a new encryption schemes for such data. The most popular symmetric key algorithms are Data Encryption Standard (DES). However, DES is may be not suitable for multimedia because it consumes times. Encryption and decryption of these data require different methods. In this paper a method for encryption/decryption data by using the nature of FrFT in signals analysis, based on multi-order Fractional Fourier Transform has been introduced. The security of the method used in the encryption work was taken into account to identify the different indicators to measure the security of the encryption Techniques. These indicators are: sensitivity proposed Techniques for the key, the complexity of the processes, and statistical analysis. The key is formed by combination of order of Fractional Fourier Transform. The encrypted data is obtained by the summation of different orders. Numerical simulation results are given to demonstrate this proposed method.
Volume: 9
Issue: 2
Page: 141-152
Publish at: 2020-07-01

Evaluation of wind park tax incentives in Colombia by means of real options

10.11591/ijeecs.v19.i1.pp459-465
Miguel Jiménez-Gomez , Natalia Acevedo-Prins
The objective of this study is to assess tax incentives in Colombia to foster investment in wind parks. Fiscal incentives seek to diversify energy consumption with non-conventional renewable energy sources, since power is mostly generated by hydraulic force and since its price is impacted during dry seasons. The price of energy is modeled according to a regression toward the mean. This stochastic process was chosen because during droughts in Colombia there are price increases, which then return to their average value. This is an upward and downward spike behavior, as well as a regression toward the mean. Given price uncertainty and its impact on cashflow, wind parks were valued with real options to flatten the reversal for five years. The real option of flattening as an American call option was considered. Results show that, according to traditional valuation methods, wind parks in Colombia are not profitable even with tax incentives. However, according to the real options method, tax incentives do make these projects economically viable.
Volume: 19
Issue: 1
Page: 459-465
Publish at: 2020-07-01

Arduino controller based borewell child rescue system

10.11591/ijres.v9.i2.pp133-140
Melvin Paul Miki.V , S. Prakash , Amarnath. M.K.V , K.Naveen Kumar
In this paper we have proposed a system for rescuing victims of bore well accidents. The proposed system is light in weight compared to existing methods, portable easy to handle and requires lesser manpower. The system design comprises of a four leg metal stand which supports the whole mechanical assemble the stand is of low weight therefore it is easy to transport it does not requires any heavy duty cranes. This stand has a round housing which holds the DC gear motor which controls the up and down motion of a robotic arm as the arm is connected to the motors shaft with pulley through a rope or heavy duty steel cable. The robotic arm has four mechanically operated fingers which can be opened or closed using a dc motor placed on the arm itself this motor controls the arm by tightening the cables which runs over the four finger joints just like a human arm. The two motors are controlled by an Arduino based remote control module containing buttons and toggle switch with the help of this module easy control of the system is achieved. In addition to this an ultrasonic sensor and a digital camera was also incorporated to predict the victim’s location. In order to determine the feasibility of the system a prototype was designed and fabricated. The prototype consists of all mechanical and electronics setup as discussed above but in a miniature version. The prototype has a control module which consist of LCD display, motor driver IC, Arduino microcontroller, control switches, buttons and power supply unit. This is the main electronics unit which controls and coordinates the whole systems operation. The project is intended to reduce the risk involved during the child rescues operation by analysing the simulation.
Volume: 9
Issue: 2
Page: 133-140
Publish at: 2020-07-01

Dynamic modeling of the birefringence effects induced in semiconductor optical amplifier for all-optical telecommunication systems

10.11591/ijres.v9.i2.pp93-101
A. Elyamani , A. Zatni , A. Moumen , H. Bousseta
The semiconductor optical amplifiers (SOA) are all-optical multifunctional devices. The improvement of their performance will, therefore, be of great importance for modern optical telecommunication systems. We propose in this article to develop a dynamic model that enables us to simulate the dynamic behavior of SOA's birefringence effects. The determination of a numerical model is a multidisciplinary activity that needs engineering skills, optimization and physics. This numerical model enables to describe the propagation of a picosecond optical pulse passing through the SOA and takes into account its polarization and the phenomenon of energy coupling between the eigenmodes of SOA (TE mode and TM mode). In this paper, we will, first of all describe the numerical algorithm of our model, and then we will propose to make a dynamic characterization of the effect of the nonlinear polarization rotation in the SOA, which will allow us to study the all-optical logic gates as well as all the other digital components based on the nonlinear effect of birefringence in SOA.
Volume: 9
Issue: 2
Page: 93-101
Publish at: 2020-07-01
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