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23,675 Article Results

Clustering-boundary-detection algorithm based on center-of-gravity of neighborhood

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2907
Wang Gui Zhi
The cluster boundary is a useful model, in order to identify the boundary effectively, according to the uneven distribution of data points int the epsilon neighborhood of boundary objects, this paper proposes a boundary detection algorithm S-BOUND. Firstly, all the points in the epsilon neighborhood of the data objects are projected onto the boundary of the convex hull of the neighborhood, and then calculate the center of gravity of the neighborhood. Finally, detect the boundary object according to the degree of deviation of the center of gravity of the neighborhood with the object. The experimental results show that the S-BOUND algorithm can accurately detect a variety of clustering boundary and remove the noises, the time of performance is also better. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3620
Volume: 11
Issue: 12
Page: 7302-7308
Publish at: 2013-12-01

Post-Traumatic Growth and Resilience among University Students in Baghdad: A Conceptual Study

https://ijere.iaescore.com/index.php/IJERE/article/view/4451
Haider Kamil Mahdi , Shahabudin Bin Hashim
Posttraumatic Growth (PTG) refers to positive changes in human life elicited by exposures to traumatic events, such as war and terror. The fact that Iraqi university students continue their studies not long after a bomb explosion or deaths of significant others related to the War in 2003 indicated that they possess certain degree of resilience. This study conceptualized the causal relationship between the resilience and the level of PTG among Iraqi university students after being exposed to traumatic events in the form of the War in 2003. Thorough discussion on the previous studies have been done, recommendations on the sampling methods, as well as the instruments, were made. Significance of the empirical research related to this conceptualized relationship is discussed at the end of this paper.DOI: http://dx.doi.org/10.11591/ijere.v2i4.3872
Volume: 2
Issue: 4
Page: 153-156
Publish at: 2013-12-01

Ultrasonic Flaw Signal Classification using Wavelet Transform and Support Vector Machine

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2938
Yu Wang
This paper presents a ultrasonic flaw signal classification system by using wavelet transform and support vector machine (SVM). A digital flaw detector is first used to acquire the signals of defective carbon fiber reinforced polymer (CFRP) specimen with void, delamination and debonding. After that, the time domain based ultrasonic signals can be processed by discrete wavelet transform (DWT), and informative features are extracted from DWT coefficients representation of signals. Finally, feature vectors selected by PCA method are taken as input to train the SVM classifier. Furthermore, the selection of SVM parameters and kernel function has been examined in details. Experimental results validate that the model coupled with wavelet transform and SVM is a promising tool to deal with classification for ultrasonic flaw signals. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3673
Volume: 11
Issue: 12
Page: 7539-7547
Publish at: 2013-12-01

PROGRAMME D’ÉDUCATION BILINGUE SPÉCIAL (PEBS) AU CAMEROUN : ÉTAT DES LIEUX, OPPORTUNITÉS ET DÉFIS

https://ijere.iaescore.com/index.php/IJERE/article/view/4455
Achille Fossi
This article explores and analyzes a new initiative in bilingual education, launched at the beginning of the 2009-2010 school year in certain secondary schools in Cameroon. The Special bilingual education programme (SBEP), which is still in its beginning phase, aims essentially at training students to communicate effectively and with as little anxiety as possible in the country’s two official languages, English and French. Upon examining the various reasons for the programme and the context in which it has been implemented, existing scientific research in second language acquisition points to the conclusion that the success of this most relevant programme would eventually lead to a complete remodelling of the French-English bilingual education system in Cameroon.DOI: http://dx.doi.org/10.11591/ijere.v2i4.2929
Volume: 2
Issue: 4
Page: 180-187
Publish at: 2013-12-01

Maximum Power Point Tracking Control of Direct Methanol Fuel Cell

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2927
Zhang Mingbo , Yan Ting , Gu Jinguang
The performance of direct methanol fuel cell (DMFC) is closely related to its operating conditions, and there exists a specific combination of operating conditions at which the DMFC output maximum power to the driven load. Working at maximum power point (MPP) can lower the methanol crossover and ancillary power consumption so as to improve the global efficiency of the system. The fuzzy controller proposed in this paper provides a simple and robust way to keep the DMFC working at MPP by adjusting the operating conditions followed by the variation of driven load in real time. Simulation shows that the fuzzy control approach can yield satisfactory results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3657
Volume: 11
Issue: 12
Page: 7453-7461
Publish at: 2013-12-01

A Strategy Research on MPPT Technique in Photovoltaic Power Generation System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2949
Fu Qiang , Tong Nan
Output mode of photovoltaic cell is a complex transcendental equation, which is rather difficult to figure out by the numerical method. Traditional MPPT requests highly of initial value with low accuracy. In this thesis, simulation model of photovoltaic cell is built to simulate environmental situations under different lights and temperatures, taking advantage of particle swarm and ant colony intelligent algorithm to track the maximum power point of photovoltaic cell. Furthermore, a kind of intelligent perturbative tracking method is put forward combined with traditional perturbative tracking and intelligent tracking. The simulation result showing that intelligent perturbative tracking strategy has superior accuracy and adaptability than traditional MPPT method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3685
Volume: 11
Issue: 12
Page: 7627-7633
Publish at: 2013-12-01

Simple Switching Strategy for High-Torque Control Performance utilizing Neutral Point Clamped Multilevel Inverter

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/4967
Nor Faezah Alias , Auzani Jidin , Atikah Razi , Tole Sutikno , Huzainirah Ismail
Three-level Neutral Point Clamped (NPC) inverter allows the configuration of switching devices to operate at high voltage and produce lower current/voltage harmonics. It is known that, DTC of induction machine which employs hysteresis controller has major drawbacks namely larger torque ripple and variable switching frequency. This paper aims to propose a suitable voltage vector selection to provide better torque regulation and lower switching frequency by employing DTC with 3-level NPC multilevel inverter. A simple switching strategy was formulated using 7-level torque hysteresis and 2-level flux hysteresis controllers to give more options in selecting an appropriate voltage vector, inherently, according the motor operation conditions. The improvements offered were verified through simulations.DOI: http://dx.doi.org/10.11591/ijpeds.v3i4.5248
Volume: 3
Issue: 4
Page: 400-408
Publish at: 2013-12-01

Incorporating Diagnostic Aspects to Mathematical Affects Inventory Development

https://ijere.iaescore.com/index.php/IJERE/article/view/4453
Sun Hee Kim , Soojin Kim
Many measures have been developed for the affective domain in mathematics, such as the Fennema-Sherman Mathematics Attitudes Scales (1976), Program for International Student Assessment (PISA 2003), and Trends in International Mathematics and Science Study (TIMSS 2007). However, it is difficult to find an inventory of affective attributes in mathematics that includes all affective factors based on recent theories. And affective attributes cannot be strictly differentiated, so one item can measure several factors. Thus, cognitive diagnosis theory was applied to this study, in which each item of assessment test can be allocated several attributes. The purpose of this study is to develop a Mathematical Affects Inventory (MAI) that measures student’s specific affective attributes and to verify MAI using Cognitive Diagnosis Theory. Research results will report some statistical information with affective profile of Korean students i.e. the mathematical affects of individual studentsDOI: http://dx.doi.org/10.11591/ijere.v2i4.2887
Volume: 2
Issue: 4
Page: 163-174
Publish at: 2013-12-01

Research of Bipolar HVDC Transmission Lines Based on Traveling Wave Differential Protection

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2961
Baina He , Yunwei Zhao , Hengxu Ha
The principle of the traveling wave based differential protection for bipolar HVDC transmission lines is proposed in the paper. Unlike the traditional current differential protection, the quantity of current is replaced by the quantity of the traveling wave for comparison. The traveling wave at the remote end is transferred to the local end for comparison to the local traveling wave. For the bipolar DC transmission lines, the polar-mode (aerial mode) traveling waves are employed to establish the discriminative criterion. The ground-mode traveling waves are utilized for faulty line detector for bipolar operation modes. The entire protection scheme is simulated in PSCAD/EMTDC associated with the standard ±500kV HVDC transmission system. The simulation results show that the new protection has the advantages of higher sensitivity, reliability and security. The fault resistance can be coverd by the traveling wave based differential protection reaches to 500 Ohm.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3700 
Volume: 11
Issue: 12
Page: 7727-7737
Publish at: 2013-12-01

From CAD to Robot: Undergraduate Capstone Design in Engineering Technology

10.11591/ijra.v2i4.pp140-148
Kuldeep S. Rawat , G.H. Massiha
A novel senior project in designing and implementing a wheeled platform-based experimental mobile robot is discussed. This mobile robot design project was used as a platform to learn sensor interfacing, microcontroller programming, motor control, and electronic circuit design and troubleshooting. A specially designed proto board was used so that students could experiment with various types of sensors and supporting electronic circuitry. The modules implemented in this project are, servo motor control, infrared (IR)-based obstacle detection and avoidance, temperature sensing, and IR wireless communication. An 8-bit Peripheral Interface Controller (PIC) microcontroller, operating at 20MHz, was used as a programmable controller to monitor external environment through sensors and make appropriate decisions. PIC microcontroller was programmed using PICBasic PRO, a BASIC like high-level language. The implementation was divided into separate experiments, through which the students progressively completed the mobile robot. This progressive experimentation helped students develop their knowledge of interfacing, microcontroller programming, electronic control, circuit design, and troubleshooting in an incremental manner. The robot design experiments, sensor interfacing, electronic control, supporting circuitry, problems faced and troubleshooting during implementation are discussed in the paper.
Volume: 2
Issue: 4
Page: 140-148
Publish at: 2013-12-01

Design Sliding Mode Controller of with Parallel Fuzzy Inference System Compensator to Control of Robot Manipulator

10.11591/ijra.v2i4.pp149-162
Farzin Piltan , Ali Hosainpour , Sara Emamzadeh , Iman Nazari , Mina Mirzaie
Sliding mode controller (SMC) is a significant nonlinear controller under condition of partly uncertain dynamic parameters of system. This controller is used to control of highly nonlinear systems especially for robot manipulators, because this controller is a robust and stable. Conversely, pure sliding mode controller is used in many applications; it has two important drawbacks namely; chattering phenomenon, and nonlinear equivalent dynamic formulation in uncertain dynamic parameter. The nonlinear equivalent dynamic formulation problem and chattering phenomenon in uncertain system can be solved by using artificial intelligence theorem. However fuzzy logic controller is used to control complicated nonlinear dynamic systems, but it cannot guarantee stability and robustness.  In this research parallel fuzzy logic theory is used to compensate the system dynamic uncertainty.
Volume: 2
Issue: 4
Page: 149-162
Publish at: 2013-12-01

The Paradox on IT Literacy and Science’s Learning Achievement in Secondary School

https://ijere.iaescore.com/index.php/IJERE/article/view/4450
Dwi Sulisworo
Higher education is currently in the rapid change process. These changes are driven by many factors, both internal and external. Some trends in higher education in the development of one of them is a wider social context. People feel more comfortable with using the internet as a tool in the day-to-day. Information and communication technologies has important role on improving teaching and learning process. The aim of this research is to determine whether the student IT literacy medium influence the learning achievement of good science. This research is a quantitative research using multivariate statistical analysis techniques. The result is that IT literacy has no effect on learning achievement. This phenomenon is the paradox on learning and ICT issues.DOI: http://dx.doi.org/10.11591/ijere.v2i4.2732
Volume: 2
Issue: 4
Page: 149-152
Publish at: 2013-12-01

Analysis and Correction the Inter-channel Mismatch of Synthetic Aperture Radiometer

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2892
Xianxun Yao
A Ka-band two dimensional synthetic aperture interferometric radiometer (SAIR) called SAIR-2D has been developed for concealed weapon detection. The inter-channel mismatch due to amplitude, phase and group delay differences between each receiving channel pairs can result in an undesired effect called fringe washing function (FWF). As the security application usually needs a wide field of view, the FWF is unavoidable and could lead to radiometric performance degradation. This paper presents a general method to analyze the impact of inter-channel mismatch on SAIR. Based on the analysis, the performance degradation of the SAIR-2D is mainly introduced by the group delay difference. To decrease the degradation, a synchronization module is designed to correct the group delay difference. Validation experiments have been conducted on SAIR-2D. The experimental results have validated that the correction technique can meet the requirements of SAIR-2D. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2890
Volume: 11
Issue: 12
Page: 7190-7196
Publish at: 2013-12-01

Retrieving Atmospheric Precipitable Water Vapor Using Artificial Neural Network Approach

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2890
Wang Xin , Deng Xiaobo , Zhang Shenglan
Discussing of water vapor and its variation is the important issue for synoptic meteorology and meteorology. In physical Atmospheric, the moisture content of the earth atmosphere is one of the most important parameters, it is hard to represent water vapor because of its space-time variation. High-spectral resolution Atmospheric Infrared Sounder (AIRS) data can be used to retrieve the small scale vertical structure of air temperature, which provided a more accurate and good initial field for the numerical forecasting and the large-scale weather analysis. This paper proposes an artificial neural network to retrieve the clear sky atmospheric radiation data from AIRS and comparing with the AIRS Level-2 standard product, and gain a good inversion results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3749
Volume: 11
Issue: 12
Page: 7174-7181
Publish at: 2013-12-01

Multi-State, Quasi-Experimental Study of the Impact of Internet-Based, On-Demand Professional Learning on Student Performance

https://ijere.iaescore.com/index.php/IJERE/article/view/4454
Steven Shaha , Heather Ellsworth
This multi-State, quasi-experimental study reflects the quantification of comparative gains in math and reading performance on standardized assessments. We contrasted performance in consecutive years pre-versus-post for students of teachers actively participating in an Internet-based, on-demand professional development (PD) program with their respective districts, thus normalizing for uncontrolled educational and socioeconomic variables. A random sample of 169 schools was analyzed representing teachers with a minimum high-participation level in PD.  Results showed that students of participating teachers experienced 18.9% increases (p<.001) in math scores versus 4.2% (p<.01) for their districts, and 15.3% increases (p<.001) in reading versus 2.5% (p<.01) for their districts, equating to statistically significant 4.2 fold (p>.001) and 6.1 (p>.001) fold advantages, respectively. Findings support the high-participation use of Internet-based, on-demand professional learning for improving teacher effectiveness to impact student performance. DOI: http://dx.doi.org/10.11591/ijere.v2i4.3933
Volume: 2
Issue: 4
Page: 175-179
Publish at: 2013-12-01
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