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29,905 Article Results

Improve Interval Optimization of FLR using Auto-speed Acceleration Algorithm

10.12928/telkomnika.v16i4.6668
Yusuf Priyo; Brawijaya University Anggodo , Imam; Brawijaya University Cholissodin
Inflation is a benchmark of a country's economic development. Inflation is very influential on various things, so forecasting inflation to know on upcoming inflation will impact positively. There are various methods used to perform forecasting, one of which is the fuzzy time series forecasting with maximum results. Fuzzy logical relationships (FLR) model is a very good in doing forecasting. However, there are some parameters that the value needs to be optimised. Interval is a parameter which is highly influence toward forecasting result. The utilizing optimization with hybrid automatic clustering and particle swarm optimization (ACPSO). Automatic clustering can do interval formation with just the right amount. While the PSO can optimise the value of each interval and it is providing maximum results. This study proposes the improvement in find the solution using auto-speed acceleration algorithm. Auto-speed acceleration algorithm can find a global solution which is hard to reach by the PSO and time of computation is faster. The results of the acquired solutions can provide the right interval so that the value of the FLR can perform forecasting with maximum results.
Volume: 16
Issue: 4
Page: 1724-1734
Publish at: 2018-08-01

Verification of MATLAB/Simulink Power Cable Modelling with Experimental Analysis

10.11591/ijeecs.v11.i2.pp622-629
Tze Mei Kuan , Suhaila Sulaiman , Azrul Mohd. Ariffin , Wan Mohamad Shakir Wan Shamsuddin
Cross-linked polyethylene (XLPE) power cable is commonly used as the medium for transmitting power supply in the power system network. However, frequent exposure of XLPE cable to the high voltage causes its insulation to degrade over time leading to electricity outages. Degradation of cable can be prevented if regular maintenance is performed using the accurate assessment method. This study models and simulates a cable system comprising of three cable sections connected by two un-degraded cable joints. This model aims to assess defect along the tested cable with the application of time domain reflectometry (TDR) technique. A series of simulations are conducted by varying the cable insulation condition to study its influence on the cable joint reflection. These simulation results from MATLAB/Simulink are validated against the actual TDR experimental results. The identical results shown between the simulation and experimental results indicate that the cable model is valid and can be used to assess the condition of a cable.
Volume: 11
Issue: 2
Page: 622-629
Publish at: 2018-08-01

A Novel Study on Bipolar High Voltage Direct Current Transmission Lines Protection Schemes

10.11591/ijece.v8i4.pp1977-1984
Shobha Agarwal , C. K. Panigrahi , Aishwarya Sahoo , Sanitha Mishra
In long dc transmission lines identification of fault is important for transferring a large amount of power. In bipolar Line commutated converter transmission lines are subjected to harsh weather condition so accurate and rapid clearance of fault is essential. A comparative study of the bipolar system with both converters healthy and one converter tripped is studied. Most of the research paper has focussed on transmission line faults in bipolar mode but none of them had focussed when HVDC system works in monopolar mode after the fault. In the proposed scheme the voltage signals are extracted from both poles of the rectifier ends and are processed to identify the faults in transmission lines.The Artificial neural network is utilised in detecting the fault in both bipolar and monopolar system. Since it can identify the relationship between input and output data to detect the fault pattern it can be utilised under all conditions. Moreover, benefits of the proposed method are its accuracy, no requirement of the communication system as it acquires data from one end and has a reach setting of 99%.
Volume: 8
Issue: 4
Page: 1977-1984
Publish at: 2018-08-01

Angular Symmetric Axis Constellation Model for Off-line Odia Handwritten Characters Recognition

10.11591/ijict.v7i2.pp96-104
Pyari Mohan Jena , Soumya Ranjan Nayak
Optical character recognition is one of the emerging research topics in the field of image processing, and it has extensive area of application in pattern recognition. Odia handwritten script is the most research concern area because it has eldest and most likable language in the state of odisha, India. Odia character is a usually handwritten, which was generally occupied by scanner into machine readable form. In this regard several recognition technique have been evolved for variance kind of languages but writing pattern of odia character is just like as curve appearance; Hence it is more difficult for recognition. In this article we have presented the novel approach for Odia character recognition based on the different angle based symmetric axis feature extraction technique which gives high accuracy of recognition pattern. This empirical model generates a unique angle based boundary points on every skeletonised character images. These points are interconnected with each other in order to extract row and column symmetry axis. We extracted feature matrix having mean distance of row, mean angle of row, mean distance of column and mean angle of column from centre of the image to midpoint of the symmetric axis respectively. The system uses a 10 fold validation to the random forest (RF) classifier and SVM for feature matrix. We have considered the standard database on 200 images having each of 47 Odia character and 10 Odia numeric for simulation. As we have noted outcome of simulation of SVM and RF yields 96.3% and 98.2% accuracy rate on NIT Rourkela Odia character database and 88.9% and 93.6% from ISI Kolkata Odia numerical database.
Volume: 7
Issue: 2
Page: 96-104
Publish at: 2018-08-01

Intelligent Agent Simulator in Massive Crowd

10.11591/ijeecs.v11.i2.pp577-584
Mohamad, S , Nasir, F.M , Sunar, M.S. , Isa, K. , Hanifa, R.M. , Shah, S.M. , Ribuan, M.N. , Ahmad, A.
Crowd simulations have many benefits over real-life research such as in computer games, architecture and entertainment. One of the key elements in this study is to include elements of decision-making into the crowd. The aim of this simulator is to simulate the features of an intelligent agent to escape from crowded environments especially in one-way corridor, two-way corridor and four-way intersection. The addition of the graphical user interface enables intuitive and fast handling in all settings and features of the Intelligent Agent Simulator and allows convenient research in the field of intelligent behaviour in massive crowd. This paper describes the development of a simulator by using the Open Graphics Library (OpenGL), starting from the production of training data, the simulation process, until the simulation results. The Social Force Model (SFM) is used to generate the motion of agents and the Support Vector Machine (SVM) is used to predict the next step for intelligent agent.
Volume: 11
Issue: 2
Page: 577-584
Publish at: 2018-08-01

Comparison of Chemical Compounds of Essential Oils from Natural Agarwood and Inoculated Agarwood (Roselle-Based Inoculation)

10.11591/ijeecs.v11.i2.pp677-681
N.R.M. Nasardin , M.A.M. Hanafiah , M. Zainon , M. Ibrahim , A.I.A. Rahman , Z.A. Baharudin , M.H.M. Husin , I. Mahir , A.A. Zulkefle
In this paper, the physical and structural properties of the natural agarwood and inoculated agarwood using Roselle-based inoculation had been discussed. The results showed that a high volume of oil obtained on day 1 by the inoculated agarwood which yielded 3ml of the agarwood oil as compared to the natural agarwood that had yielded only 2.3ml. In the chemical analysis, five major compounds were detected by FTIR which were C-O bond (aromatic alkane), C-C stretching (aromatic alkane), C-O stretching (ether) and C-H bond (aromatic ring) in both oils. Moreover, the inoculated agarwood exhibited better oil production compared to the natural agarwood.
Volume: 11
Issue: 2
Page: 677-681
Publish at: 2018-08-01

Performance Investigation of Channel Noise Effect in Data Transmission Medium Using Signal to Noise Ratio (SNR)

10.11591/ijeecs.v11.i2.pp419-423
Gebremedhn wubet wagaye
The noise introduced in the channel obviously affects the bit error rate of the communication system and this has direct impact in the security. Here the main problem is that the receiver terminal decoding techniques can lead to wrong interpretation even if the Bit Error Rate (BER) is acceptable. So the main idea here is to introduce high values of Signal to Noise Ratio (SNR) that can improve the bit error rate which exists due to the noise introduced in the wireless channel.
Volume: 11
Issue: 2
Page: 419-423
Publish at: 2018-08-01

Disruptive Technology: The Future of SMS Technology

10.11591/ijeecs.v11.i2.pp665-671
Cik Ku Haroswati Binti Che Ku Yahaya , Murizah Kassim , Hasnorhafiza Husni
The research illustrates a view on the current trends in the telecommunication industry focusing on the matter of Short Message Service (SMS) technology. It targets and explains disruptive technology and also introduces disruptive technology in Short Message Service (SMS). The methodology of this research is market trend analysis using data on volume of Short Message Service (SMS) sent and received through a mobile network and a survey that was conducted with questionnaires. The findings are Short Message Service (SMS) is predicted to become obsolete and be disrupted by Over the Top (OTT) messaging application by the third quarter of the year 2020. This was implemented with linear regression prediction. By the survey a new trend of using Short Message Service (SMS) has emerged but users have certainly moved away from SMS and now prefer texting Over the Top (OTT) messaging applications.
Volume: 11
Issue: 2
Page: 665-671
Publish at: 2018-08-01

Opinion Mining of Light Rail Transit Development in Indonesia

10.11591/ijeecs.v11.i2.pp791-796
Sarifah Putri Raflesia , Dinda Lestarini , Firdaus Firdaus , Desty Rodiah
Light rail transit (LRT), or fast tram is urban public transport using rolling stock similar to a tramway, but operating at a higher capacity, and often on an exclusive right-of-way. Indonesia as one of developing countries has been developed the LRT in two cities of Indonesia, Palembang and Jakarta. There are opinions toward the development of LRT, negative and positive opinions. To reveal the level of LRT development acceptance, this research uses machine learning approach to analyze the data which is gathered through social media. By conducting this paper, the data is modeled and classified in order to analyze the social sentiment towards the LRT development.
Volume: 11
Issue: 2
Page: 791-796
Publish at: 2018-08-01

Novel UWB Microstrip Antenna Structures with Defected Ground Structure

10.11591/ijeecs.v11.i2.pp429-436
Saida Elajoumi , A. Tajmouati , J. Zbitou , A. Errkik , L. El Abdellaoui , A.M. Sanchez
This paper presents the design of new compact printed antennas for Ultra Wide Band applications, fed with a microstrip-line. The proposed designs consist of a patch antenna with defected ground, which are fed by 50Ω microstrip transmission line. The frequency range is 3.1-10.6 GHz which is the Federal Communication Commission (FCC) band of UWB. The proposed antennas are easy for integration with microwave circuits. They are validated into simulation by using two electromagnetic solvers CST-MW and Ansoft HFSS. The simulated input impedance bandwidth ranging 3GHz to more than 14 GHz is obtained with return loss less -10dB, and exhibits good UWB characteristics. The measured parameters are good agreement with the simulation. Therefore these antennas offer excellent performance for UWB system.
Volume: 11
Issue: 2
Page: 429-436
Publish at: 2018-08-01

Microinverter Topology based Single-stage Grid-connected Photovoltaic System: A Review

10.11591/ijeecs.v11.i2.pp645-651
A. Razi , M. Nabil Hidayat , M. N. Seroji
This paper discussed the topology development of a single-stage microinverter in grid-connected PV system. In general, the microinverter topologies can be categorized into four type of topologies:          1) Flyback inverter, 2) Double-boost inverter, 3) Derived zeta-cuk configuration and 4) Buck-boost inverter. Flyback configuration is widely used for single-stage microinverter which offers protection between solar panel and utility grid. However due to the bulkiness of the transformer, new arrangement circuit employ the Half-Bridge topology with film capacitor and microcontroller provide a good room for research and future developments to obtain greater efficiency and compact design of single-stage microinverter grid-connected PV system. Plus, there are several characteristics need to be taken care for future development of the microinverter technology.
Volume: 11
Issue: 2
Page: 645-651
Publish at: 2018-08-01

Evaluation Review on Effectiveness and Security Performances of Text Steganography Technique

10.11591/ijeecs.v11.i2.pp747-754
Roshidi Din , Sunariya Utama , Aida Mustapha
Steganography is one of the categories in information hiding that is implemented to conceal the hidden message to ensure it cannot be recognized by human vision. This paper focuses on steganography implementation in text domain namely text steganography. Text steganography consists of two groups, which are word-rule based and feature-based techniques. This paper analysed these two categories of text steganography based on effectiveness and security evaluation because the effectiveness is critically important in order to determine that technique has the appropriate quality. Meanwhile, the security is important due to the intensity performance in securing the hidden message. The main goal of this paper is to review the evaluation of text steganography in terms of effectiveness and security that have been developed by previous research efforts. It is anticipated that this paper will identify the performance of text steganography based on effectiveness and security measurement.
Volume: 11
Issue: 2
Page: 747-754
Publish at: 2018-08-01

Resonant Configuration Topology Exploration for Inductive Link Power Transfer

10.11591/ijeecs.v11.i2.pp522-530
S. Hafiz , Zarimin Zaharudin , Sheroz Khan , Nur Shahida Binti Midi , John Tan Teng Hwang , Kushsairy Abdul Kadir , Jawad Ali Shah
This paper investigates the performance of circuit topology used in wireless power applications to optimize the level of maximum efficiency. We analyse the series and the parallel resonant topologies for use in an inductive coupling link to derive power transfer efficiency expressions verified using MATLAB. We look into the two topologies into the link under resonant conditions for selectively supplying the device with power. The results are obtained analytically which are verified subsequently by MATLAB simulation. We then analyse the links to see how maximum power transfer efficiency for a given pair of coils can be achieved. The topology at a given tuning frequency is used for powering a selected resistive load. The method is presented using a given pair of coils simulated and the results agree well with the theoretical explanation and derivations.
Volume: 11
Issue: 2
Page: 522-530
Publish at: 2018-08-01

Mining the Web Data for Classifying and Predicting Users’ Requests

10.11591/ijece.v8i4.pp2390-2398
Girish S , Ramamurthy B , Senthilnathan T
Consumers are the most important asset of any organization. The commercial activity of an organization booms with the presence of a loyal customer who is visibly content with the product and services being offered. In a dynamic market, understanding variations in client’s behavior can help executives establish operative promotional campaigns. A good number of new consumers are frequently picked up by traders during promotions. Though, several of these engrossed consumers are one-time deal seekers, the promotions undeniably leave a positive impact on sales. It is crucial for traders to identify who can be converted to loyal consumer and then have them patronize products and services to reduce the promotion cost and increase the return on investments. This study integrates a classifier that allows prediction of the type of purchase that a customer would make, as well as the number of visits that he/she would make during a year. The proposed model also creates outlines of users and brands or items used by them. These outlines may not be useful only for this particular prediction task, but could also be used for other important tasks in e-commerce, such as client segmentation, product recommendation and client base growth for brands.
Volume: 8
Issue: 4
Page: 2390-2398
Publish at: 2018-08-01

Mixed Linearity Improvement Techniques for Ultra-wideband Low Noise Amplifier

10.11591/ijece.v8i4.pp2038-2045
Mohammed Nadhim Abbas , Farooq Abdulghafoor Khaleel
We present the linearization of an ultra-wideband low noise amplifier (UWB-LNA) operating from 2GHz to 11GHz through combining two linearization methods. The used linearization techniques are the combination of post-distortion cancellation and derivative-superposition linearization methods. The linearized UWB-LNA shows an improved linearity (IIP3) of +12dBm, a minimum noise figure (NFmin.) of 3.6dB, input and output insertion losses (S11 and S22)  below -9dB over the entire working bandwidth, midband gain of 6dB at 5.8GHz, and overall circuit power consumption of 24mW supplied from a 1.5V voltage source. Both UWB-LNA and linearized UWB-LNA designs are verified and simulated with ADS2016.01 software using BSIM3v3 TSMC 180nm CMOS model files. In addition, the linearized UWB-LNA performance is compared with other recent state-of-the-art LNAs.
Volume: 8
Issue: 4
Page: 2038-2045
Publish at: 2018-08-01
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