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28,910 Article Results

Series-Loaded Resonant Converter DC-DC Buck Operating for Low Power

10.11591/ijeecs.v8.i1.pp159-168
M. F. Omar , H. C. M. Haris
This paper presents the functions of Series-Loaded Resonant Converter (SLRC). Series Loaded Resonant DC-DC converter is a type of soft-switching topology widely known for providing improved efficiency. Zero voltage switching (ZVS) buck converter is more preferable over hard switched buck converter for low power, high frequency DC-DC conversion applications. Zero Voltage switching techniques will be used to improve the efficiency of current and voltage at the series loaded half-bridge rectifier. The results will be described from PSIM simulation, Programming of MATLAB calculation and hardware testing.
Volume: 8
Issue: 1
Page: 159-168
Publish at: 2017-10-01

Development of Hybrid Artificial Neural Network for Quantifying Energy Saving using Measurement and Verification

10.11591/ijeecs.v8.i1.pp137-145
Wan n Nazirah Wan Md Adna , Nofri Yenita Dahlan , Ismail Musirin
This paper presents a Hybrid Artificial Neural Network (HANN) for chiller system Measurement and Verification (M&V) model development. In this work, hybridization of Evolutionary Programming (EP) and Artificial Neural Network (ANN) are considered in modeling the baseline electrical energy consumption for a chiller system hence quantifying saving. EP with coefficient of correlation (R) objective function is used in optimizing the neural network training process and selecting the optimal values of ANN initial weights and biases. Three inputs that are affecting energy use of the chiller system are selected; 1) operating time, 2) refrigerant tonnage and 3) differential temperature. The output is hourly energy use of building air-conditioning system. The HANN model is simulated with 16 different structures and the results reveal that all HANN structures produce higher prediction performance with R is above 0.977. The best structure with the highest value of R is selected as the baseline model hence is used to determine the saving. The avoided energy calculated from this model is 132944.59 kWh that contributes to 1.38% of saving percentage.
Volume: 8
Issue: 1
Page: 137-145
Publish at: 2017-10-01

Reconfigurable Feeding Network with Dual-band Filter for WiMAX Application

10.11591/ijece.v7i5.pp2411-2419
N. Edward , Z. Zakaria , N.A. Shairi
Design and simulation for reconfigurable Wilkinson Power Divider (WPD) related to WiMAX application is proposed in this paper. This proposed design relates to dual band WiMAX frequencies at 2.5 GHz and 3.5 GHz. The main purpose of this design is to design a switchable feeding network that can cover the WiMAX standards by reconfiguring the microstrip line length using PIN diode switches. Besides, the power divider also can be design and develop as power combiner due to the passive component structure and hence reciprocal. In this proposed Wilkinson power divider, different band of frequencies for WiMAX application are obtained by using PIN diode. By turning ‘ON’ and ‘OFF’ the PIN diode, different frequencies are achieved between 2.5 and 3.5 GHz. This proposed design used Rogers RO4350 (er = 3.48, h = 0.508mm) as a substrate material and copper (thickness = 0.002 mm) related to patch of design. This simulation results showed that the S11 is less than -15dB; and S12 and S13 are better than -5dB. Based on these simulation results, the proposed WPD design using dual-band filter was well applied where it has better return loss (S11) with less than -15 dB for both WiMAX frequencies.
Volume: 7
Issue: 5
Page: 2411-2419
Publish at: 2017-10-01

The Effect of Bandwidth on Speech Intelligibility in Albanian Language by Using Multimedia Applications like Skype and Viber

10.11591/ijece.v7i5.pp2514-2519
Sabrije Osmanaj , Altin Shala , Blerta Prevalla
This paper intends to analyze subjective measurements of intelligibility of speech on Albanian language during the conversation between two people using applications which today are very used for communication such as Skype and Viber. The measurement is done as follows: on the entry part of the transmission system sentences or words are spoken or just syllables while on receiving part is recorded what is heard; the percentage of words, sentences or syllables correctly received, on proportion to those imposed on the entry of the system, providing the percentage of intelligibility (the words, sentences or syllables). Methods of measurements are made at different speed of the Internet, in an environment without noise and with noise, in order to see the impact on understanding of the speech with different target parameters.
Volume: 7
Issue: 5
Page: 2514-2519
Publish at: 2017-10-01

A PAPR Reduction for OFDM Signals Based on Self-Adaptive Multipopulation DE algorithm

10.11591/ijece.v7i5.pp2651-2660
Hocine Ait-Saadi , Jean-Yves Chouinard , Abderrazak Guessoum
One of major drawbacks of orthogonal frequency division multiplexing (OFDM) systems is the high peak-to-average power ratio (PAPR). A signal with high PAPR leads to nonlinear distortion caused mainly by power amplifiers in wireless transmitters. Partial transmit sequence (PTS) is one of the most attractive methods to reduce the PAPR in OFDM systems. It achieves considerable PAPR reduction without distortion, but it requires an exhaustive search over all the combinations of the given phase factors, which results in a computational complexity that increases exponentially with the number of partitions. For this optimization problem, we propose in this paper a suboptimal PTS method based on the self-adaptive multipopulation differential evolution algorithm (SAMDE). The self adaptation of control parameters and structured population, is able to obtain high quality solutions with low computational cost by evolving each sub-population of individuals over successive generations.
Volume: 7
Issue: 5
Page: 2651-2660
Publish at: 2017-10-01

Smart Local Backup Protection for Smart Substation

10.11591/ijece.v7i5.pp2321-2328
M.N. Dazahra , F. Elmariami , A. Belfqih , J. Boukherouaa
This paper presents a novel smart local backup protection SLBP used for the support and backup of the protective relays in a smart substation. The proposed SLBP is based on the IEC61850 standards and the concept consists of the acquisition of Generic Object Oriented Substation Event GOOSE used for tripping and interlocks exchange between Intelligent Equipment Devices IEDs and the reading of the Sampled Value SV existing in the process bus coming from Mergin Units MU or Non-Conventional Instrument Transformers NCIT. Several logical schemes to protect different zones of the substation are presented and how can be integrated using data in the substation automation system. The SLBP was developed using an open source library and free operating system. Moreover, a low cost prototype is presented in order to evaluate the efficiency and the operation of the SLBP under diverse scenarios of the proposed logical protective schemes such us breaker failure and overcurrent protection
Volume: 7
Issue: 5
Page: 2321-2328
Publish at: 2017-10-01

A Deconvolution Approach to the Three Dimensional Identification of Cracks in Magnetic Slabs

10.11591/ijece.v7i5.pp2357-2364
Amr A. Adly , Salwa K. Abd-El-Hafiz
Nondestructive assessment of cracks in metallic parts has always been a topic of industrial interest. In the past, different approaches have been proposed to assess such cracks. Recently, semi-orthogonal compactly supported spline wavelets were utilized to efficiently identify the 3D spatial location of cracks in conducting slabs of finite thicknesses. Within this proposed approach a horizontally oriented field sensor is employed on top of a magnetic slab subject to uniform horizontal magnetic field. In this paper the 3D spatial identification of cracks in conducting slabs is carried out through the Fourier transform by de-convoluting sensor response. In comparison to the previously adopted approach, the approach proposed in this paper is capable of identifying cracks that span over a relatively larger distance.  Details of the crack detection methodology and simulations are given in the paper.
Volume: 7
Issue: 5
Page: 2357-2364
Publish at: 2017-10-01

Black Box Model based Self Healing Solution for Stuck at Faults in Digital Circuits

10.11591/ijece.v7i5.pp2451-2458
S. Meyyappan , V. Alamelumangai
The paper proposes a design strategy to retain the true nature of the output in the event of occurrence of stuck at faults at the interconnect levels of digital circuits. The procedure endeavours to design a combinational architecture which includes attributes to identify stuck at faults present in the intermediate lines and involves a healing mechanism to redress the same. The simulated fault injection procedure introduces both single as well as multiple stuck-at faults at the interconnect levels of a two level combinational circuit in accordance with the directives of a control signal. The inherent heal facility attached to the formulation enables to reach out the fault free output even in the presence of faults. The Modelsim based simulation results obtained for the Circuit Under Test [CUT] implemented using a Read Only Memory [ROM], proclaim the ability of the system to survive itself from the influence of faults. The comparison made with the traditional Triple Modular Redundancy [TMR] exhibits the superiority of the scheme in terms of fault coverage and area overhead.   
Volume: 7
Issue: 5
Page: 2451-2458
Publish at: 2017-10-01

Inertial Navigation for Quadrotor Using Kalman Filter with Drift Compensation

10.11591/ijece.v7i5.pp2596-2604
Lasmadi Lasmadi , Adha Imam Cahyadi , Samiadji Herdjunanto , Risanuri Hidayat
The main disadvantage of an Inertial Navigation System is a low accuracy due to noise, bias, and drift error in the inertial sensor. This research aims to develop the accelerometer and gyroscope sensor for quadrotor navigation system, bias compensation, and Zero Velocity Compensation (ZVC). Kalman Filter is designed to reduce the noise on the sensor while bias compensation and ZVC are designed to eliminate the bias and drift error in the sensor data. Test results showed the Kalman Filter design is acceptable to reduce the noise in the sensor data. Moreover, the bias compensation and ZVC can reduce the drift error due to integration process as well as improve the position estimation accuracy of the quadrotor. At the time of testing, the system provided the accuracy above 90 % when it tested indoor.
Volume: 7
Issue: 5
Page: 2596-2604
Publish at: 2017-10-01

Enabling External Factors for Inflation Rate Forecasting Using Fuzzy Neural System

10.11591/ijece.v7i5.pp2746-2756
Nadia Roosmalita Sari , Wayan Firdaus Mahmudy , Aji Prasetya Wibawa , Elta Sonalitha
Inflation is the tendency of increasing prices of goods in general and happens continuously. Indonesia's economy will decline if inflation is not controlled properly. To control the inflation rate required an inflation rate forecasting in Indonesia. The forecasting result will be used as information to the government in order to keep the inflation rate stable. This study proposes Fuzzy Neural System (FNS) to forecast the inflation rate. This study uses historical data and external factors as the parameters. The external factor using in this study is very important, which inflation rate is not only affected by the historical data. External factor used are four external factors which each factor has two fuzzy set. While historical data is divided into three input variables with three fuzzy sets. The combination of three input variables and four external factors will generate too many rules. Generate of rules with too many amounts will less effective and have lower accuracy. The novelty is needed to minimalize the amount of rules by using two steps fuzzy. To evaluate the forecasting results, Root Means Square Error (RMSE) technique is used. Fuzzy Inference System Sugeno used as the comparison method. The study results show that FNS has a better performance than the comparison method with RMSE that is 1.81.
Volume: 7
Issue: 5
Page: 2746-2756
Publish at: 2017-10-01

A Novel Integrated Framework to Ensure Better Data Quality in Big Data Analytics over Cloud Environment

10.11591/ijece.v7i5.pp2798-2805
C.S. Sindhu , Nagaratna P. Hegde
With advent of Big Data Analytics, the healthcare system is increasingly adopting the analytical services that is ultimately found to generate massive load of highly unstructured data. We reviewed the existing system to find that there are lesser number of solutions towards addressing the problems of data variety, data uncertainty, and data speed. It is important that an error-free data should arrive in analytics. Existing system offers single-hand solution towards single platform. Therefore, we introduced an integrated framework that has the capability to address all these three problems in one execution time. Considering the synthetic big data of healthcare, we carried out the investigation to find that our proposed system using deep learning architecture offers better optimization of computational resources. The study outcome is found to offer comparatively better response time and higher accuracy rate as compared to existing optimization technqiues that is found and practiced widely in literature.
Volume: 7
Issue: 5
Page: 2798-2805
Publish at: 2017-10-01

Insights on Research Techniques towards Cost Estimation in Software Design

10.11591/ijece.v7i5.pp2883-2894
Praveen Naik , Shantaram Nayak
Software cost estimation is of the most challenging task in project management in order to ensuring smoother development operation and target achievement. There has been evolution of various standards tools and techniques for cost estimation practiced in the industry at present times. However, it was never investigated about the overall picturization of effectiveness of such techniques till date. This paper initiates its contribution by presenting taxonomies of conventional cost-estimation techniques and then investigates the research trends towards frequently addressed problems in it. The paper also reviews the existing techniques in well-structured manner in order to highlight the problems addressed, techniques used, advantages associated and limitation explored from literatures. Finally, we also brief the explored open research issues as an added contribution to this manuscript.
Volume: 7
Issue: 5
Page: 2883-2894
Publish at: 2017-10-01

A Novel 2D Feature Extraction Method for Fingerprints Using Minutiae Points and Their Intersections

10.11591/ijece.v7i5.pp2547-2554
Nibras Ar Rakib , SM Zamshed Farhan , Md Mashrur Bari Sobhan , Jia Uddin , Arafat Habib
The field of biometrics has evolved tremendously for over the last century. Yet scientists are still continuing to come up with precise and efficient algorithms to facilitate automatic fingerprint recognition systems. Like other applications, an efficient feature extraction method plays an important role in fingerprint based recognition systems. This paper proposes a novel feature extraction method using minutiae points of a fingerprint image and their intersections. In this method, initially, it calculates the ridge ends and ridge bifurcations of each fingerprint image. And then, it estimates the minutiae points for the intersection of each ridge end and ridge bifurcation. In the experimental evaluation, we tested the extracted features of our proposed model using a support vector machine (SVM) classifier and experimental results show that the proposed method can accurately classify different fingerprint images.
Volume: 7
Issue: 5
Page: 2547-2554
Publish at: 2017-10-01

QoS Framework for a Multi-stack based Heterogeneous Wireless Sensor Network

10.11591/ijece.v7i5.pp2713-2720
K. Panimozhi , G. Mahadevan
Wireless sensor nodes consist of a collection of sensor nodes with constrained resources in terms of processing power and battery energy. Wireless sensors networks are used increasingly in many industrial and consumer applications. Sensors detect events and send via multi hop routing to the sink node for processing the event. The routing path is established through proactive or reactive routing protocols. To improve the performance of the Wireless Sensor Networks, multi stack architecture is addressed. But the multi stack architecture has many problems with respect to life time, routing loop and QOS. In this work we propose a solution to address all these three problems of life time, routing loop and QOS in case of multi stack architecture.
Volume: 7
Issue: 5
Page: 2713-2720
Publish at: 2017-10-01

Mobile Learning Technologies

10.11591/ijece.v7i5.pp2833-2837
Khalil Alsaadat
Technological development  have altered the way we communicate, learn, think, share, and spread information. Mobile technologies are those that make use of wireless technologies to gain some sort of data. As mobile connectedness continues to spread across the world, the value of employing mobile technologies in the arena of learning and teaching seems to be both self-evident and unavoidable The fast deployment of mobile devices and wireless networks in university campuses makes higher education a good environment  to integrate learners-centered m-learning . this paper discusses mobile learning technologies that are being used for educational purposes and the effect they have on teaching and learning methods.
Volume: 7
Issue: 5
Page: 2833-2837
Publish at: 2017-10-01
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