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29,065 Article Results

Energy Efficiency of a Building Using Capacitors Optimization

10.11591/ijeecs.v8.i2.pp343-349
Amirul Asyraf Mohd Kamaruzaman , Muhammad Murtadha Othman , Aainaa Mohd Arriffin , Ismail Musirin , Muhd Azri Abdul Razak , Zilaila Zakaria
This paper presents the optimal location and sizing of capacitors to reduce the total power losses as well as its investment cost for a distribution system in a building. The capacitors location and sizing will be randomly chosen repetitively, via Stochasitic optimization method using MATLAB® and SIMULINK® software. The optimal capacitors location and sizing will be picked via analysis and comparisons between the results. The result shows improvement in power losses with minimal investment cost whilst providing optimal sizing and location of capacitors to be installed in a building.
Volume: 8
Issue: 2
Page: 343-349
Publish at: 2017-11-01

Electrical Characterization of Commercial Power MOSFET Under Electron Radiation

10.11591/ijeecs.v8.i2.pp462-466
Wan Nurhasana binti Wan Ayub , Nurul Fadzlin Hasbullah , Abdul Wafi Rashid
This paper presents the threshold voltage shifts for both p-channel and n-channel commercial power MOSFET before and after electron irradiation. The experiment was done under the 3MeV energy of electron with dose level varies from 50KGy until 250KGy. The results were plotted and analyzed in terms of the shifted voltage characteristics. It is observed that after irradiation, both p-channel and n-channel MOSFET experiences negative threshold voltage shifts. For n-channel devices, this is due to the radiation-induced positive charges dominated in the oxide traps while for p-channel devices it is believed due to radiation-induced ionization damage.
Volume: 8
Issue: 2
Page: 462-466
Publish at: 2017-11-01

Convolutional Neural Network Based Target Recognition for Marine Search

10.11591/ijeecs.v8.i2.pp561-563
J. S. Ashwin , N. Manoharan
The key point of marine search and rescue is to find out and recognize the distress objects. At present, the visual search method is usually adopted to detect the ships in distress, and this method can only be used at good sea condition and visibility. In this paper, a new target detection and recognition system is proposed. The parameters of radar transmitter and echo graphics and the invariant moments of radar images are extracted as the system’s recognition features, and the system’s target classifier is based on Convolutional Neural Networks (CNN). The developed recognition classifier has been tested using three kinds of target Images, the target’s features are used as the inputs of trained CNN and the outputs of networks are target classification. Sea experimental results show that the proposed method is well-clustering and with high classified accuracy.
Volume: 8
Issue: 2
Page: 561-563
Publish at: 2017-11-01

Enhancement of Energy Control Routing Protocol for Mobile Ad Hoc Network Based on Hybrid Particle Swarm Optimization with Ant Colony-based Energy Control Routing

10.11591/ijeecs.v8.i2.pp308-314
Hasan Awni Shakir , Ravie Chandren Muniyandi , Zulkarnain MD. Ali
MANET is an autonomous collection of distributed mobile nodes. Every node in a MANET works as a source and a sink and that relays packets for other nodes. The key features of a MANET include dynamic network topology, distributed network nature, multi-hop communication, limited bandwidth, and limited energy constraints. Given that the battery of the nodes is limited, the energy of the nodes and the lifetime of network is a critical problem in MANETs. Moreover, nodes maintain static or less movement after being deployed. The energy of the MANET nodes cannot be recharged, which leads to dead nodes. This study improves the energy cost for the ACECR and boosts advancement through its contributions. Areas in the ad hoc network where much work is needed are discussed. This study only explored the impact of PSO on ACECR. Results indicate that ACECR- PSO performed better than the other protocols in terms of balanced energy consumption and extended network lifetime.
Volume: 8
Issue: 2
Page: 308-314
Publish at: 2017-11-01

Hybrid Approach for Water Demand Prediction Based on Fuzzy Congnitive Maps

10.11591/ijeecs.v8.i2.pp567-570
G. Jenitha
 In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). The proposed structure optimization genetic algorithm (SOGA) for automatic construction of FCM is used for modeling complexity based on historical time series, and artificial neural networks (ANNs) which are used at the final process for making time series prediction. The suggested SOGA-FCM method is used for selecting the most important nodes (attributes) and interconnections among them which in the next stage are used as the input data to ANN used for time series prediction after training. The FCM with proficient learning calculations and ANN have been as of now demonstrated as adequate strategies for setting aside a few minutes arrangement anticipating. The execution of the proposed approach is exhibited through the examination of genuine information of every day water request and the comparing expectation. The multivariate examination of recorded information is held for nine factors, season, month, day or week, occasion, mean and high temperature, rain normal, touristic action and water request. The entire approach was actualized in a clever programming device at first sent for FCM forecast. Through the exploratory investigation, the value of the new mixture approach in water request forecast is illustrated, by computing the mean outright blunder (as one of the outstanding expectation measures). The outcomes are promising for future work to this bearing.
Volume: 8
Issue: 2
Page: 567-570
Publish at: 2017-11-01

Metal Oxides Semiconductor Sensors for Odor Classification

10.11591/ijres.v6.i3.pp133-149
Nyayu Latifah Husni , Ade Silvia , Siti Nurmaini , Irsyadi Yani
The performance of gas sensor will differ and vary due to the surrounding environment changing, the way of implementation, and the position of the sensors to the source. To reach a good result on gas sensors implementation, a performance test on sensors is needed. The results of the tests are useful for characterizing the properties of the particular material or device. This paper discusses the performances of metal oxides semiconductor (MOS) sensors. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability of the sensor when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method in order to see the sensors' sensitivity to the uncertainty disturbances, such as wind. The result shows that metal oxides semiconductor sensor was responsive to the 3 sources not only in static but also dynamic conditions. The expected outcome of this study is to predict the MOS sensors' performance when they are applied in robotic implementation. This performance was considered as the training datasets of the sensor for odor classification in this research. From the experiments, It was got, in dynamic experiment, the senrors has average of precision of 93.8-97%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the sensors were selective to the odor they sensed.
Volume: 6
Issue: 3
Page: 133-149
Publish at: 2017-11-01

Design of a Reconfigurable, Modular and Multi-Channel Bioimpedance Spectroscopy System

10.11591/ijeecs.v8.i2.pp428-440
Ahmed Al-Hashimi , Anis Nurashikin Nordin , Amelia Wong Azman
This paper presents the design and implementation of a multichannel bio-impedance spectroscopy system on field programmable gate arrays (FPGA). The proposed system is capable of acquiring multiple signals from multiple bio-impedance sensors, process the data on the FPGA and store the final data in the on-board Memory. The system employs the Digital Automatic Balance Bridge (DABB) method to acquire data from biosensors. The DABB measures initial data of a known impedance to extrapolate the value of the impedance for the device under test. This method offers a simpler design because the balancing of the circuit is done digitally in the FPGA rather than using an external circuit. Calculations of the impedance values for the device under test were done in the processor. The final data is sent to an onboard Flash Memory to be stored for later access. The control unit handles the interfacing and the scheduling between these different modules (Processor, Flash Memory) as well as interfacing to multiple Balance Bridge and multiple biosensors. The system has been simulated successfully and has comparable performance to other FPGA based solutions. The system has a robust design that is capable of handling and interfacing input from multiple biosensors. Data processing and storage is also performed with minimal resources on the FPGA.
Volume: 8
Issue: 2
Page: 428-440
Publish at: 2017-11-01

Classifying the Fault Type in Underground Distribution System Based on Fuzzy Logic Algorithm

10.11591/ijeecs.v8.i2.pp557-560
M. Sudha
This paper exhibits the best possible information example of fluffy rationale calculation for blame sort characterization in underground link. The proposed calculation utilizing mix of discrete wavelet changes (DWT) and fluffy rationale. The DWT is connected to concentrate high recurrence segment from blame current waveform utilizing mother wavelet daubechies4 (db4). The most extreme coefficients detail of DWT and greatest proportion of DWT, acquired from stage A, B, C and zero succession of blame current waveforms have been utilized as an info factors for choice calculation. The acquired outcomes in term of normal exactness have demonstrated that the most extreme proportion of DWT can accomplished tasteful precision in blame sort order.
Volume: 8
Issue: 2
Page: 557-560
Publish at: 2017-11-01

Robustness and Stability Analysis of a Predictive PI Controller in WirelessHART Network Characterised by Stochastic Delay

10.11591/ijece.v7i5.pp2605-2613
Sabo Miya Hassan , Rosdiazli Ibrahim , Nordin Saad , Vijanth Sagayan Asirvadam , Kishore Bingi , Tran Duc Chung
As control over wireless network in the industry is receives increasing attention, its application comes with challenges such as stochastic network delay. The PIDs are ill equipped to handle such challenges while the model based controllers are complex. A settlement between the two is the PPI controller. However, there is no certainty on its ability to preserve closed loop stability under such challenges. While classical robustness measures do not require extensive uncertainty modelling, they do not guarantee stability under simultaneous process and network delay variations. On the other hand, the model uncertainty measures tend to be conservative. Thus, this work uses extended complementary sensitivity function method which handles simultaneously those challenges. Simulation results shows that the PPI controller can guarantee stability even under model and delay uncertainties.
Volume: 7
Issue: 5
Page: 2605-2613
Publish at: 2017-10-01

An Analysis of Harmonic and Interharmonic Contribution of Electric Arc Furnace by Using Periodogram

10.11591/ijece.v7i6.pp3753-3760
M.R. Yusoff , M.H. Jopri , A.R. Abdullah , T. Sutikno , M. Manap , A.S. Hussin
Fast and accurate detection of the harmonic and interharmonic contribution of electric arc furnace (EAF) is crucial in identifying and to mitigate the undesired effects to the system.  In this paper, periodogram, a fast and accurate technique is introduced for the analysis of the contribution. Based on a rule-based classifier and the threshold settings that referred to the IEEE Standard 1159 2009, the analysis of the harmonic and interharmonic contribution of EAF are carried out successfully. Moreover, the impact of contribution is measured using total harmonic distortion (THD) and total non-harmonic distortion (TnHD). In addition, periodogram also gives 100 percent correct detection and able to analyze the contribution impact. It is proven that the proposed method is accurate, fast and cost efficient for analyzing the impact of harmonic and interharmonic of EAF.
Volume: 7
Issue: 6
Page: 3753-3760
Publish at: 2017-10-01

Effective Load Balance Scheduling Schemes for Heterogeneous Distributed System

10.11591/ijece.v7i5.pp2757-2765
Zeba Khan , Mahfooz Alam , Raza Abbas Haidri
Importance of distributed systems for distributing the workload on the processors is globally accepted. It is an agreed fact that divides and conquers is the effective strategy for load balancing problems. In today’s time, load balancing is the major issue for scheduling algorithm such as in Parallel and Distributed Systems including Grid and Cloud Computing and many more. Load Balancing is the phenomena of spreading or distributing the workload among the processors so that all processors keep busy for all the time, in order to prevent ideal time of processors. In this work, presents a load balancing algorithm for heterogeneous distributed system (HeDS) with aim of minimizing the load imbalance factor (LIF). The proposed algorithm is using optimization techniques such as Max-Max and Min-Max strategy and applied on Folded Crossed Cube (FCC) network. Makespan, speedup and average resource utilization are also evaluated for performance matrices. The experimental results of the proposed algorithms have showed better in comparison to with previous work under various test conditions.
Volume: 7
Issue: 5
Page: 2757-2765
Publish at: 2017-10-01

An Ear Recognition Method Based on Rotation Invariant Transformed DCT

10.11591/ijece.v7i5.pp2895-2901
Fatemeh Hourali , Sorayya Gharravi
Human recognition systems have gained great importance recently in a wide range of applications like access, control, criminal investigation and border security. Ear is an emerging biometric which has rich and stable structure and can potentially be implemented reliably and cost efficiently. Thus human ear recognition has been researched widely and made greatly progress. High recognition rates which are reported in most existing methods can be reached only under closely controlled conditions. Actually a slight amount of rotation and translation which is inescapable would be injurious for system performance. In this paper, a method that uses a transformed type of DCT is implemented to extract meaningful features from ear images. This algorithm is quite robust to ear rotation, translation and illumination. The proposed method is experimented on two popular databases, i.e. USTB II and IIT Delhi II, which achieves significant improvement in the performance in comparison to other methods with good efficiency based on LBP, DSIFT and Gabor. Also because of considering only important coefficients, this method is faster compared to other methods.
Volume: 7
Issue: 5
Page: 2895-2901
Publish at: 2017-10-01

A Compact UWB BPF with a Notch Band using Rectangular Resonator Sandwiched between Interdigital Structure

10.11591/ijece.v7i5.pp2420-2425
Yatindra Gaurav , R.K. Chauhan
This paper presents a compact design of an ultra wide band bandpass filters with a notch band using interdigital structure. The aim of the design is to reduce the size of filter, reduce the complexity of the design, and improve the performance of filter response. The proposed filter comprises of a rectangular resonator sandwiched between Interdigital structures, with rectangular slot as defected microstrip structure at the input and output ports. This design has been used for the first time to achieve the above aim. The advantage with this design is that, it does not use any via or defected ground structure. The insertion loss of proposed filter, in passband between 3.1 GHz to 10.8 GHz, is less than 0.7dB, and for the notched band it is 21.5 dB centred at 7.9 GHz. The proposed filter is fabricated, tested and compared with simulated results. The proposed design was small in size with less complexity, and shows performance better than the other designs available in the literatures at this dimension.
Volume: 7
Issue: 5
Page: 2420-2425
Publish at: 2017-10-01

Video Shot Boundary Detection using the Scale Invariant Feature Transform and RGB Color Channels

10.11591/ijece.v7i5.pp2565-2673
Zaynab El khattabi , Youness Tabii , Abdelhamid Benkaddour
Segmentation of the video sequence by detecting shot changes is essential for video analysis, indexing and retrieval. In this context, a shot boundary detection algorithm is proposed in this paper based on the scale invariant feature transform (SIFT). The first step of our method consists on a top down search scheme to detect the locations of transitions by comparing the ratio of matched features extracted via SIFT for every RGB channel of video frames. The overview step provides the locations of boundaries. Secondly, a moving average calculation is performed to determine the type of transition. The proposed method can be used for detecting gradual transitions and abrupt changes without requiring any training of the video content in advance. Experiments have been conducted on a multi type video database and show that this algorithm achieves well performances.
Volume: 7
Issue: 5
Page: 2565-2673
Publish at: 2017-10-01

RCS of Chiral Elliptic Cylinder Embedded in Infinite Chiral Medium

10.11591/ijece.v7i5.pp2731-2737
A-K. Hamid , W. Obaid
This paper presents an analytic solution to the scattering properties of chiral elliptic cylinder embedded in infinite chiral medium due to incident plane wave. The external electromagnetic fields as well as the internal electromagnetic fields are written in terms Mathieu functions and expansion coefficients. In order to obtain both the internal and external unknown field expansion coefficients, the boundary conditions are applied rigorously at the surface of different chiral/chiral material. Results are plotted graphically for the normalized scattering widths for elliptic cylinders of different sizes and chiral materials to show the effects of these parameters on scattering cross widths. It is shown numerically by adding the external chiral material to elliptic cylinder provides more parameters to control the RCS.
Volume: 7
Issue: 5
Page: 2731-2737
Publish at: 2017-10-01
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