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31,456 Article Results

Trajectory reconstruction for robot programming by demonstration

10.11591/ijece.v10i3.pp3066-3073
Reda Hanifi Elhachemi Amar , Laredj Benchikh , Hakima Dermeche , Ouamri Bachir , Zoubir Ahmed-Foitih
The reproduction of hand movements by a robot remains difficult and conventional learning methods do not allow us to faithfully recreate these movements because it is very difficult when the number of crossing points is very large. Programming by Demonstration gives a better opportunity for solving this problem by tracking the user’s movements with a motion capture system and creating a robotic program to reproduce the performed tasks. This paper presents a Programming by Demonstration system in a trajectory level for the reproduction of hand/tool movement by a manipulator robot; this was realized by tracking the user’s movement with the ArToolkit and reconstructing the trajectories by using the constrained cubic spline. The results obtained with the constrained cubic spline were compared with cubic spline interpolation. Finally the obtained trajectories have been simulated in a virtual environment on the Puma 600 robot.
Volume: 10
Issue: 3
Page: 3066-3073
Publish at: 2020-06-01

Design of dual-mode SIR bandpass filter based on shorting pin for wireless communication applications

10.11591/ijeecs.v18.i3.pp1375-1382
Jenan Ayad Namiq , Mustafa A. Jalil
A new design of microstrip dual mode band-pass-filter (BPF) by using stepped impedance resonator (SIR) based on shorting pin is proposed. The designed structure use two U-shaped tri-sections SIR resonators coupled to each other and a two coupled line feeding ports each of 50 ohm impedance. Shorting pins are used to excite the upper frequency passband in the re   sponse of the filter due to current distribution perturbation at the locations of the shorting pins.  For demonstration, WLAN (5.2-5.7 GHz) and GSM (1.85-1.99 GHz) and Advanced Wireless Services (AWS) (1.71-1.755 GHz). The return losses are -32.469 dB and -26.18 dB respectively at the operating frequencies of the filter.  The results of  insertion losses of the filter is 0.37 and 0.24 dB during the operating bands and more than 25 dB which consider a good out-of- band rejection. 
Volume: 18
Issue: 3
Page: 1375-1382
Publish at: 2020-06-01

Towards optimize-ESA for text semantic similarity: A case study of biomedical text

10.11591/ijece.v10i3.pp2934-2943
Khaoula Mrhar , Mounia Abik
Explicit Semantic Analysis (ESA) is an approach to measure the semantic relatedness between terms or documents based on similarities to documents of a references corpus usually Wikipedia. ESA usage has received tremendous attention in the field of natural language processing NLP and information retrieval. However, ESA utilizes a huge Wikipedia index matrix in its interpretation by multiplying a large matrix by a term vector to produce a high-dimensional vector. Consequently, the ESA process is too expensive in interpretation and similarity steps. Therefore, the efficiency of ESA will slow down because we lose a lot of time in unnecessary operations. This paper propose enhancements to ESA called optimize-ESA that reduce the dimension at the interpretation stage by computing the semantic similarity in a specific domain. The experimental results show clearly that our method correlates much better with human judgement than the full version ESA approach.
Volume: 10
Issue: 3
Page: 2934-2943
Publish at: 2020-06-01

Correlating spiritual and emotional intelligence with academic performance among Pakistani students

10.11591/ijere.v9i2.20476
Jamshid Ali Turi , Anita Abdul Rani , Abidin Imaduddin , Fatimah Binti Mahmud , Alaeldeen Al Adresi
Continuous learning works like a blood for organization and individuals to proceed and succeed. Underdeveloped countries need to address their academic issues. Academic prosperity is linked to economy and technology disruptions so it’s an important element to bring underdeveloped countries up to the mark to thrive and survive in this technical era. Academic prosperity depends upon student's enthusiastic attitude and their emotional and spiritual intelligences. This study was conducted in learning organizations to see the impact of emotional and spiritual intelligences on academic performance. Population of the study is the academic institutes of Pakistan. Data were collected using cross-sectional questionnaire-based survey from 113 students in Pakistan. The findings provide positive and significant correlations among the types of intelligences and academic performance. Data was analyzed using SPSS and the results were verified using statistical methods like correlation, regression, ANNOVA, Cronbach alpha and means. This study highlights the role of emotional intelligence and spiritual intelligence on academic performance and found out that it has the most demanding and significant effect on the academic performance, therefore it needs better integration in academic practices, routine and culture.
Volume: 9
Issue: 2
Page: 278-284
Publish at: 2020-06-01

A new gate drive for a single-phase matrix converter

10.11591/ijpeds.v11.i2.pp823-826
Rahimi Baharom , Nor Farahaida Abdul Rahman , Muhamad Nabil Hidayat , Khairul Safuan Muhammad , Mohammad Nawawi Seroji , Nor Zaihar Yahaya
This paper presents the new generation of advanced gate driver circuit based on IR2110 device for a Single-Phase Matrix Converter (SPMC) circuit topology that uses MOSFETs or IGBTs switches. The new generation of gate drive circuit uses less number of components, since a single IR2110 device can drive two power switches, thus reduce power losses and minimize the complexity of conventional circuit. An additional isolation of the upper and lower sides of IR2110 device features additional protection to the proposed gate drive system. As a result, the proposed gate drive circuit just uses four IR2110 gate drives in order to control eight switches of SPMC circuit, thus, solve the conventional bulky gate drive circuit problem in SPMCs operation.  This is in line with the international power electronic technology road-maps to reduce losses, cost, volume, therefore to raise up the power density of power electronics converters. Validation have been done through the experimental test-rig. As a result, such new theoretical enhancements can be used as a novel foundation of future high power density of SPMC circuit topology and in-line with the Fourth Industrial Revolution (IR 4.0) which were characterized mainly by advances in technology
Volume: 11
Issue: 2
Page: 823-826
Publish at: 2020-06-01

Prediction prices of basrah light oil using artificial neural networks

10.11591/ijece.v10i3.pp2682-2689
Maysaa Abd Ulkareem Naser
The global economy is assured to be very sensitive to the volatility of the oil market. The beneficial from oil prices collapse are both consumers and developed countries. Iraq economy is a one-sided economy which is completely depends on oil revenue to charge the economic activity. Hence, the current decline in oil prices will produce serious concerns. Some factors stopped most investment projects, rationalize the recurrent outflow, and decrease the development of economic activity. The study of forecast oil prices is considered among the most complex studies because of the different dynamic variables that affects the strategic goods. Moreover, the laws of economics controlling the prices of oil such as the supply and demand law. Some other variables that control the oil prices are the political conditions when these conditions contribute to the world production. The subject of forecasting has been extremely developing during recent years and some modern methods have been appeared in this regards, for example, Artificial Neural Networks. In this study, an artificial neural network (FFNN) is adopted to extract the complex relationships among divergent parameters that have the abilities to predict oil prices serving as an inputs to the network data collected in this research represent monthly time series data are Oil prices series in (US dollars) over a period of 11 years (2008–2018) in Iraq
Volume: 10
Issue: 3
Page: 2682-2689
Publish at: 2020-06-01

Optimal distribution of power under stress on power grid in real-time by reactive compensation-management and development in balance

10.11591/ijpeds.v11.i2.pp685-691
Tadjeddine Ali A. , Arbaoui I. , Hamiani H. , Chaker A.
The industrial development, lifestyle and modernization of the management sectors in Algeria have led to an increase in demand for electricity power in recent years and an increase in demand for the energy sector. This high demand for power has led to problems with voltage drops, particularly as regards the quality of this voltage during periods peak load. Thanks to research on the development of the electricity transmission system in the South-West region of Algeria and based on the theoretical results. We have obtained an optimal solution for the location of the regulation systems for voltage and the frequency in the substations that exhibit strong violations and periodic static destabilization, in particular, the stations at the end of the 220Kv transmission lines. The techniques of modeling and controlling the voltage per frequency (Hz/V) as well as the critical analysis variants have been studied and confirmed using advanced real-time numerical simulation.
Volume: 11
Issue: 2
Page: 685-691
Publish at: 2020-06-01

Combined cosine-linear regression model similarity with application to handwritten word spotting

10.11591/ijece.v10i3.pp2367-2374
Youssef Elfakir , Ghizlane Khaissidi , Mostafa Mrabti , Driss Chenouni , Manal Boualam
The similarity or the distance measure have been used widely to calculate the similarity or dissimilarity between vector sequences, where the document images similarity is known as the domain that dealing with image information and both similarity/distance has been an important role for matching and pattern recognition. There are several types of similarity measure, we cover in this paper the survey of various distance measures used in the images matching and we explain the limitations associated with the existing distances. Then, we introduce the concept of the floating distance which describes the variation of the threshold’s selection for each word in decision making process, based on a combination of Linear Regression and cosine distance. Experiments are carried out on a handwritten Arabic image documents of Gallica library. These experiments show that the proposed floating distance outperforms the traditional distance in word spotting system.
Volume: 10
Issue: 3
Page: 2367-2374
Publish at: 2020-06-01

Assessment big data in Nigeria: Identification, generation and processing in the opinion of the experts

10.11591/ijere.v9i2.20339
Nkechi Patricia-Mary Esomonu , Martins Ndibem Esomonu , Lydia Ijeoma Eleje
As a result of increasing complexity of assessing all aspects of human behaviours, a lot of data are generated on individual learner and from teachers and the system. What qualifies as big data in assessment in Nigeria? This research identifies the sources of assessment big data in Nigeria, investigates how the big data are generated and processed, and identifies the problems of generating and processing assessment big data in Nigeria. Through purposive sampling technique forty-five experts in education assessment and research were selected. The instruments for data collection were interview and documents. The data collected were analysed using descriptive statistics to answer the five research questions that guided the research. The results of the investigation showed that the internal and external examinations and assessments from secondary schools, and course work results in universities were identified by more than 95.5% of the experts interviewed as the major sources of assessment data in Nigeria. The major problem in generating and processing assessment big data from the experts’ opinions is low awareness on the need/advantages of assessment big data with the highest mean rating (4.29±0.76). Many data are not analysed and a lot of information are lost. Recommendation was made amongst others on the need for the stakeholders to create awareness on the importance of big data in the modern education system to improve learner’s performance.
Volume: 9
Issue: 2
Page: 345-351
Publish at: 2020-06-01

A predictive model for network intrusion detection using stacking approach

10.11591/ijece.v10i3.pp2734-2741
Smitha Rajagopal , Poornima Panduranga Kundapur , Hareesh Katiganere Siddaramappa
Due to the emerging technological advances, cyber-attacks continue to hamper information systems. The changing dimensionality of cyber threat landscape compel security experts to devise novel approaches to address the problem of network intrusion detection. Machine learning algorithms are extensively used to detect intrusions by dint of their remarkable predictive power. This work presents an ensemble approach for network intrusion detection using a concept called Stacking. As per the popular no free lunch theorem of machine learning, employing single classifier for a problem at hand may not be ideal to achieve generalization. Therefore, the proposed work on network intrusion detection emphasizes upon a combinative approach to improve performance. A robust processing paradigm called Graphlab Create, capable of upholding massive data has been used to implement the proposed methodology. Two benchmark datasets like UNSW NB-15 and UGR’ 16 datasets are considered to demonstrate the validity of predictions. Empirical investigation has illustrated that the performance of the proposed approach has been reasonably good. The contribution of the proposed approach lies in its finesse to generate fewer misclassifications pertaining to various attack vectors considered in the study.
Volume: 10
Issue: 3
Page: 2734-2741
Publish at: 2020-06-01

New DTC strategy of multi-machines single-inverter systems for electric vehicle traction applications

10.11591/ijpeds.v11.i2.pp641-650
Taibi Ahmed , Hartani Kada , Allali Ahmed
In high power traction system applications two or more machines are fed by one converter. This topology results in a light, more compact and less costly system. These systems are called multi-machines single-converter systems. The problems posed by different electrical and mechanical couplings in these systems (MMS) affect various stages of the systems and require control strategy to reduce adverse effects. Control of multi-machines single-converter systems is the subject of this paper. The studied MMS is an electric vehicle with four in-wheel PMS motors. A three-leg inverter supplies two permanent magnet synchronous machines which are connected to the front right and rear right wheels, and another inverter supplies the left side. Several methods have been proposed for the control of multi-machines single-inverter systems, the master-slave control structure seems best adapted for our traction system. In this paper, a new control structure based on DTC method is used for the control of bi-machine traction system of an EV. This new control has been implanted in simulation to analyze its robustness in the presence of the various load cases involved in our electric vehicle traction chain. Simulation results indicated that this structure control allowed the stability of the traction system.
Volume: 11
Issue: 2
Page: 641-650
Publish at: 2020-06-01

An enhanced lossless compression with cryptography hybrid mechanism for ECG biomedical signal monitoring

10.11591/ijece.v10i3.pp3235-3243
Mustafa Hameed , Masrullizam Mat Ibrahim , Nurulfajar Abd Manap , Ali A. Mohammed
Due to their use in daily life situation, demand for remote health applications and e-health monitoring equipment is growing quickly. In this phase, for fast diagnosis and therapy, information can be transferred from the patient to the distant clinic. Nowadays, the most chronic disease is cardiovascular diseases (CVDs). However, the storage and transmission of the ECG signal, consumes more energy, bandwidth and data security which is faced many challenges. Hence, in this work, we present a combined approach for ECG data compression and cryptography. The compression is performed using adaptive Huffman encoding and encrypting is done using AES (CBC) scheme with a 256-bit key. To increase the security, we include Diffie-Hellman Key exchange to authenticate the receiver, RSA key generation for encrypting and decrypting the data. Experimental results show that the proposed approach achieves better performance in terms of compression and encryption on MIT-BIH ECG dataset.
Volume: 10
Issue: 3
Page: 3235-3243
Publish at: 2020-06-01

Enhancing DSSC conversion efficiency by ozone-treated TiO2 photoanode and optimum CNT/PDDA counter electrode

10.11591/ijece.v10i3.pp2926-2933
Yoshiki Kurokawa , Dang Trang Nguyen , Ryota Fujimoto , Kozo Taguchi
The conversion efficiency of dye-sensitized solar cells (DSSCs) depends on the performance of the photoanode and the counter electrode. In this paper, UV-ozone treatment has been applied to the photoanode to clean and increase the hydrophilicity of the photoanode. As a result, the dye adsorption capacity was improved. Also, low-cost multiwalled carbon nanotube (CNT) combined with poly (diallyl dimethylammonium chloride) (PDDA) was used to fabricate the counter electrode. The CNT/PDDA counter electrode was optimized to maximize its performance. By using the ozone-treated photoanode and optimum CNT/PDDA counter electrode, the conversion efficiency has increased by about 64%.
Volume: 10
Issue: 3
Page: 2926-2933
Publish at: 2020-06-01

Improved strategy of an MPPT based on the sliding mode control for a PV system

10.11591/ijece.v10i3.pp3074-3085
Taouni Abderrahim , Touati Abdelwahed , Majdoul Radouane
The energy produced using a photovoltaic (PV) is mainly dependent on weather factors such as temperature and solar radiation. Given the high cost and low yield of a PV system, it must operate at maximum power point (MPP), which varies according to changes in load and weather conditions. This contribution presents an improved maximum power point tracking (MPPT) controllers of a PV system in various climatic conditions. The first is a sliding mode MPPT that designed to be applied to a buck converter in order to achieve an optimal PV array output voltage. The second MPPT is based on the incremental conductance algorithm or Perturb-and-Observe algorithm. It provides the output reference PV voltage to the sliding mode controller acting on the duty cycle of the DC-DC converter. Simulation is carried out in SimPower toolbox of Matlab/Simulink. Simulation results confirm the effectiveness of the sliding mode control MPPT under the parameter variation environments and shown that the controllers meet its objectives.
Volume: 10
Issue: 3
Page: 3074-3085
Publish at: 2020-06-01

Industry 4.0 competencies among lecturers of higher learning institution in Malaysia

10.11591/ijere.v9i2.20520
Tan Owee Kowang , Mohamad Fawzy Bakry , Ong Choon Hee , Goh Chin Fei , Lim Kim Yew , Mohd Saiful Izwaan Saadon , Choi Sang Long
Industry 4.0 is a new breed from the past industry revolution. The revolution implies an inevitable impact on professional sectors, including education field. Higher Learning Institution (HLI) is viewed as the platform for the development of Industry 4.0 competencies. However, research related to Industry 4.0 competencies among educators or academicians is scarce. Hence, this study aims to assess the level of Industry 4.0 competencies among lecturers in one of higher learning institution in Malaysia, as well as to identify Industry 4.0 competencies that required further enhancement. Five Industry 4.0 competencies identified from literature review, which are Information and Communication Technologies (ICT), Organizational Learning, Innovative Management, Environment and Continuous Improvement competencies. The importance level and implementation level perceived by the lecturers across the five competencies are assessed via questionnaire which responded by 132 lecturers from a higher learning institution in Malaysia. Data collected is analyzed via descriptive analysis to assess the importance and implementation levels perceived by the respondent. In addition, an improvement opportunity index, namely Focus Index is calculated for each competency. Finding from the study reveals that all the four Industry 4.0 competencies are perceived by respondents as important, however implemented at moderate level. Analysis result of Focus Index also suggests that competencies in term of Organizational Learning and ICT are “over focus”, while Environment competency is viewed as “under focus” which required further enhancement.
Volume: 9
Issue: 2
Page: 303-310
Publish at: 2020-06-01
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