Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,377 Article Results

Potential and impact study of amman high frequency speed bus, a case study

10.11591/ijece.v9i4.pp2788-2793
Ashraf Samarah , Afaq Hiary , Ameera Amayira , Hiba Asheesh , Ayman Y. Al-Rawashdeh
The current study proposes the utilization of solar panels to power high frequency speed buses like the Bus Rapid Transit in Am-man city.  Based on Photo Voltaic technology, mounting PV solar panels system on the top of the track of the high frequency bus, ar-ranged at azimuth angle ranging between 0°- 90° with the best tilt angle measured 12°, along an actual unshaded track of 18 km (of the 25 km total pathway track), resulted in the generation of more than18 MWp (On Grid system). Such power is used not only to charge the bus and to operating facilities inside the city instead of the conven-tional ways as illustrated in the coming later.
Volume: 9
Issue: 4
Page: 2788-2793
Publish at: 2019-08-01

Predicting cognitive load in acquisition of programming abilities

10.11591/ijece.v9i4.pp3262-3271
So Asai , Dinh Thi Dong Phuong , Fumiko Harada , Hiromitsu Shimakawa
In this paper, we propose a method to predict cognitive load and its factors affecting the learning efficiency in programming learning from the learning behavior of learners. Generally, since the concepts of programming are difficult for learners, some of them suffer inappropriate cognitive load to understand them. Although teachers must keep cognitive load of such learners appropriate, it is difficult for them to find learners who has inappropriate cognitive load from a large number of learners. To find learners with inappropriate cognitive load, we construct models with the random forest algorithm, using learning behavior collected from learners solving fill-in-the-blank tests. An experiment shows the models can detect cognitive load for IL and GL along with their factors. Teachers must address adjustment of cognitive load of learners. This result clarifies the learning factors affecting cognitive load of learners, which enables teachers to address the adjustment with small burdens.
Volume: 9
Issue: 4
Page: 3262-3271
Publish at: 2019-08-01

Facility maintenance management system based on GIS and indoor map

10.11591/ijece.v9i4.pp3323-3332
Supattra Puttinaovarat , Suwat Jutapruet , Aekarat Saeliw , Siwipa Pruitikanee , Jinda Kongcharoen , Watchara Jiamsawat , Suchakree Limpasamanon
This research presented a system development approach for facility maintenance management system based on GIS and indoor map in the form of web applications that can be used with all devices and no worries about time limitations. The capabilities of GIS, indoor map, and geospatial data visualization help speeding up facility maintenance management process and create benefits to all concerned parties, i.e., users can notify and follow the data of facility errors at the time; or officers in charge can operate quickly because they can access real-time data. Indoor map display makes it easier to access locations or places of damaged facilities. In addition, the data from the model system presented in this research can also be applied to planning and decision-making of executives.
Volume: 9
Issue: 4
Page: 3323-3332
Publish at: 2019-08-01

Kilovolt Peak Meter Design as a Calibrator of X-Ray Machine

10.11591/ijece.v9i4.pp2328-2335
Hanifah Rahmi Fajrin , Zaipul Rahmat , Djoko Sukwono
This research aimed to design the KvP meter for checking the error of output voltage from X-Ray machine with the range of 50-70 KvP. It used Arduino Gelatino microcontroller programmed with Arduino IDE software as data processor of detector result. The detector was designed based on the physics principle using material attenuation coefficient namely aluminum whose good effect in reducing the energy level of X-ray photons. Thus, the photodiode sensor only read the effective energy of the X-ray energy. Based on the radiation intensity ratio through the aluminum filter with 0.25 mm and 0.5 mm thickness, it is better to measure X-ray tube voltage non-invasively The KvP Meter was tested by setting duration of X-ray exposure that was 0.3 second, tube current was 10 mA, and KvP Meter distance from collimator was 90 cm. A prototype unit was made, and the performance was tested in terms of error and precision. After testing and analyzing the data, the error result was less than 5.1% with the highest measurement precision of ± 1.50.  It is generally concluded that this equipment can be used to measure the voltage of the X-ray tube.
Volume: 9
Issue: 4
Page: 2328-2335
Publish at: 2019-08-01

Evaluation of Web Applications based on UX Parameters

10.11591/ijece.v9i4.pp2564-2570
Anish Mistry , Arokia Paul Rajan
The objective of evaluating User Experience (UX) in this era of technology is to enhance the user satisfaction. Earlier applications were built with the aim of reducing the work of users. But with the evolution of the technology, the emergence of new gadgets and new trends in the information technology, the applications had to be more user-centric. The primary objective of this research is to evaluate the user experience of web applications based on different UX parameters using different techniques and given a rating. Each of these ratings are combined to determine the overall rating of UX for the web application. Also, the secondary objective of this research is to provide suggestions or recommendations based on the ratings to improve the UX of the web applications. An experimental study was conducted and the results show a significant improvement. Areas of further enhancements have also been identified and presented.
Volume: 9
Issue: 4
Page: 2564-2570
Publish at: 2019-08-01

Circularly polarized rectangular dielectric resonator antenna excited by an off-set conformal metal strip

10.11591/ijeecs.v15.i2.pp902-909
U. Illahi , J. Iqbal , M. I. Sulaiman , M Alam , M. S. Mazliham , M. H. Jamaluddin
A rectangular dielectric resonator antenna (DRA) has been excited by an off-set single conformal metal strip. By using such excitation technique two degenerate resonant modes, TExδ11 and TEy1δ1 of the rectangular DRA have been excited to achieve circular polarization (CP). A CP bandwidth of ~ 5.2% in conjunction with a wide impedance matching bandwidth of ~ 54% has been provided by the proposed DRA configuration. The antenna design has been simulated using computer simulation technology (CST). Antenna prototype has been built to verify the impedance matching bandwidth. Far field parameters have been optimized and verified using two simulation techniques in CST i.e. finite integration technique (FIT) and finite element method (FEM). A good agreement between the simulated and measured result has been observed for S11. Similarly a very good resemblance between the far field results from FIT and FEM have been demonstrated.
Volume: 15
Issue: 2
Page: 902-909
Publish at: 2019-08-01

A New Chaotic System with Line of Equilibria: Dynamics, Passive Control and Circuit Design

10.11591/ijece.v9i4.pp2336-2345
Aceng Sambas , Mustafa Mamat , Ayman Ali Arafa , Gamal M Mahmoud , Mohamad Afendee Mohamed , W. S. Mada Sanjaya
A new chaotic system with line equilibrium is introduced in this paper. This system consists of five terms with two transcendental nonlinearities and two quadratic nonlinearities. Various tools of dynamical system such as phase portraits, Lyapunov exponents, Kaplan-Yorke dimension, bifurcation diagram and Poincarè map are used. It is interesting that this system has a line of fixed points and can display chaotic attractors. Next, this paper discusses control using passive control method. One example is given to insure the theoretical analysis. Finally, for the  new chaotic system, An electronic circuit for realizing the chaotic system has been implemented. The numerical simulation by using MATLAB 2010 and implementation of circuit simulations by using MultiSIM 10.0 have been performed in this study.
Volume: 9
Issue: 4
Page: 2336-2345
Publish at: 2019-08-01

A Novel Approach For Detection of Neurological Disorders through Electrical Potential Developed in Brain

10.11591/ijece.v9i4.pp2751-2759
Mohd Suhaib Kidwai , S. Hasan Saeed
This paper talks about the phenomenon of recurrence and using this concept it proposes a novel and a very simple and user friendly method to diagnose the neurological disorders by using the EEG signals.The mathematical concept of recurrence forms the basis for the detection of neurological disorders,and the tool used is MATLAB.  Using MATLAB, an algorithm is designed which uses EEG signals as the input and uses the synchronizing patterns of EEG signals to determine various neurological disorders through graphs and recurrence plots
Volume: 9
Issue: 4
Page: 2751-2759
Publish at: 2019-08-01

Mobile robot turned on by sound and directionally controlled by an external light source

10.11591/ijece.v9i4.pp2840-2847
Luis G. Lafaurie , Fredy E. Hoyos , Jhon E. Candelo-Becerra
This paper presents theoretical, numerical, and experimental tests of a mobile robot, which starts on the emission of a strong sound, like an applause, and the direction and speed of the vehicle is controlled by an external pulsed light source (PWM signal). The simulation is performed in MATLAB-Simulink; electrical circuits and the experiment are shown in detail. The results show that the vehicle speed can be controlled with a PWM signal from an external light falling on the LDR sensors. Besides, the circuit was designed to consume less than 1 ampere with the four motors moving at full speed, which can easily be powered by lithium battery.
Volume: 9
Issue: 4
Page: 2840-2847
Publish at: 2019-08-01

A statistical approach to spectrum sensing using bayes factor and p-Values

10.11591/ijece.v9i4.pp2910-2917
Deepa N. Reddy , Y. Ravinder
The sensing methods with multiple receive antennas  in the Cognitive Radio (CR) device, provide a promising solution for reducing the error rates in the detection of the Primary User (PU) signal. The received Signal to Noise Ratio at the CR receiver is enhanced using the diversity combiners. This paper proposes a statistical approach based on minimum Bayes factors and p-Values as diversity combiners in the spectrum sensing scenario. The effect of these statistical measures in sensing the spectrum in a CR environment is investigated. Through extensive Monte Carlo simulations it is shown that this novel statistical approach based on Bayes factors provides a promising solution to combine the test statistics from multiple receiver antennas and can be used as an alternative to the conventional hypothesis testing methods for spectrum sensing. The Bayesian results provide more accurate results when measuring the strength of the evidence against the hypothesis.
Volume: 9
Issue: 4
Page: 2910-2917
Publish at: 2019-08-01

Opinion mining using combinational approach for different domains

10.11591/ijece.v9i4.pp3307-3313
Jyoti Sandesh Deshmukh , Amiya Kumar Tripathy , Dilendra Hiran
An increase in use of web produces large content of information about products. Online reviews are used to make decision by peoples. Opinion mining is vast research area in which different types of reviews are analyzed. Several issues are existing in this area. Domain adaptation is emerging issue in opinion mining. Labling of data for every domain is time consuming and costly task. Hence the need arises for model that train one domain and applied it on other domain reducing cost aswell as time. This is called domain adaptation which is addressed in this paper. Using maximum entropy and clustering technique source domains data is trained. Trained data from source domain is applied on target data to labeling purpose A result shows moderate accuracy for 5 fold cross validation and combination of source domains for Blitzer et al (2007) multi domain product dataset.
Volume: 9
Issue: 4
Page: 3307-3313
Publish at: 2019-08-01

Improving of Fingerprint Segmentation Images Based on K-MEANS and DBSCAN Clustering

10.11591/ijece.v9i4.pp2425-2432
El mehdi Cherrat , Rachid Alaoui , Hassane Bouzahir
Nowadays, the fingerprint identification system is the most exploited sector of biometric. Fingerprint image segmentation is considered one of its first processing stage. Thus, this stage affects typically the feature extraction and matching process which leads to fingerprint recognition system with high accuracy. In this paper, three major steps are proposed. First, Soble and TopHat filtering method have been used to improve the quality of the fingerprint images. Then, for each local block in fingerprint image, an accurate separation of the foreground and background region is obtained by K-means clustering for combining 5-dimensional characteristics vector (variance, difference of mean, gradient coherence, ridge direction and energy spectrum). Additionally, in our approach, the local variance thresholding is used to reduce computing time for segmentation. Finally, we are combined to our system DBSCAN clustering which has been performed in order to overcome the drawbacks of K-means classification in fingerprint images segmentation. The proposed algorithm is tested on four different databases. Experimental results demonstrate that our approach is significantly efficacy against some recently published techniques in terms of separation between the ridge and non-ridge region.
Volume: 9
Issue: 4
Page: 2425-2432
Publish at: 2019-08-01

An Efficient Design Approach of ROI Based DWT Using Vedic and Wallace Tree Multiplier on FPGA Platform

10.11591/ijece.v9i4.pp2433-2442
Vijaya SM , Suresh K
In digital image processing, the compression mechanism is utilized to enhance the visual perception and storage cost. By using hardware architectures, reconstruction of medical images especially Region of interest (ROI) part using Lossy image compression is a challenging task. In this paper, the ROI Based Discrete wavelet transformation (DWT) using separate Wallace- tree multiplier (WM) and modified Vedic Multiplier (VM) methods are designed. The Lifting based DWT method is used for the ROI compression and reconstruction. The 9/7 filter coefficients are multiplied in DWT using Wallace- tree multiplier (WM) and modified Vedic Multiplier (VM). The designed Wallace tree multiplier works with the parallel mechanism using pipeline architecture results with optimized hardware resources, and 8x8 Vedic multiplier designs improves the ROI reconstruction image quality and fast computation. To evaluate the performance metrics between ROI Based DWT-WM and DWT-VM on FPGA platform, The PSNR and MSE are calculated for different Brain MRI images, and also hardware constraints include Area, Delay, maximum operating frequency and power results are tabulated. The proposed model is designed using Xilinx platform using Verilog-HDL and simulated using ModelSim and Implemented on Artix-7 FPGA device.
Volume: 9
Issue: 4
Page: 2433-2442
Publish at: 2019-08-01

n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wireless Sensor Network

10.11591/ijece.v9i4.pp2682-2690
Jyoti Metan , K N Narashinha Murthy
Security problems in Wireless Sensor Network (WSN) have been researched from more than a decade. There are various security approaches being evolving towards resisting various forms of attack using different methodologies. After reviewing the existing security approaches, it can be concluded that such security approaches are highly attack-specific and doesnt address various associated issues in WSN. It is essential for security approach to be computationally lightweight. Therefore, this paper presents a novel analytical modelling that is based on n-tier approach with a target to generate an optimized secret key that could ensure higher degree of security during the process of data aggregation in WSN. The study outcome shows that proposed system is computationally lightweight with good performance on reduced delay and reduced energy consumption. It also exhibits enhanced response time and good data delivery performance to balance the need of security and data forwarding performance in WSN.
Volume: 9
Issue: 4
Page: 2682-2690
Publish at: 2019-08-01

Enhancing the BER and ACLR for the HPA Using Pre-Distortion Technique

10.11591/ijece.v9i4.pp2725-2731
Ehab AbdulRazzaq Hussein
Power amplifiers are key components in wireless transceivers. Their function is to amplify signal and generate the required Radio Frequency (RF) power that allows to transmit the signal over an appropriate range. The Orthogonal Frequency Division Multiplexing (OFDM) systems are highly sensitive to nonlinear distortion introduced by High Power Amplifier (HPA). The HPA nonlinearity causes in-band and out-of-band distortions. The linearization techniques are used to compensate the nonlinear effects of the high power amplifier. These techniques correct the distortion effects resulting from nonlinearities in the transmitted signal. Many linearization techniques have been developed to improve power amplifier linearity and to decrease both Bit Error Rate (BER) and Adjacent Channel Leakage Ratio (ACLR). This work is set to run the high power amplifier in the nonlinear region. It is also attempting to analyze the resulting signal in terms of the BER and ACLR, next employs pre-distortion linearization techniques to reduce the distortion introduced in this region. According to Digital Video Broadcasting-Terrestrial (DVB-T) standard the linearization techniques, circuit and the OFDM transmitter and receiver is designed and implemented through using computer simulation of AWR Design Environment.
Volume: 9
Issue: 4
Page: 2725-2731
Publish at: 2019-08-01
Show 1364 of 2092

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration