Articles

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

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

26,833 Article Results

Shape Defect Detection using Local Standard Deviation and Rule-Based Classifier for Bottle Quality Inspection

10.11591/ijeecs.v8.i1.pp107-114
Norhashimah Mohd Saad , Nor Nabilah Syazana Abdul Rahma , Abdul Rahim Abdullah , Mohd Juzaila Abd Latif
This paper presents shape analysis using Local Standard Deviation (LSD) technique to detect shape defect of the bottle for product quality inspection. The proposed analysis framework includes segmentation, feature extraction, and classification. The shape of the bottle was segmented using LSD technique in order to obtain higher enhancement at the low contrast area and low enhancement at the high contrast area. The contrast gain that was applied in Adaptive Contrast Enhancement (ACE) algorithm, was presented inversely proportional to LSD in order to detect and eliminate background noise at the bottle edge. After the segmentation process, the parameters of the bottle shape such as height, width, area, and extent were extracted and applied in classification stage. The rule-based classifier was used to classify the shape of the bottle either good or defect. The offline experimental results exhibit superior segmentation on performance with 100% accuracy for 100 sample images. This shows that the LSD could be an effective technique to monitor the product quality.
Volume: 8
Issue: 1
Page: 107-114
Publish at: 2017-10-01

Stochastic Approach of Voltage Optimization to Maximize Power Saving in a Building

10.11591/ijeecs.v8.i1.pp268-272
Aainaa Mohd Arriffin , Muhammad Murtadha Othman , Amirul Asyraf Mohd Kamaruzaman , Ismail Musirin , Ainor Yahya , Mohd Fuad Abdul Latip
This paper presents the energy saving analysis by using voltage optimization technique, via Stochastic approach in an unbalanced three phase building distribution system. The voltage optimization technique is performed by installing voltage regulator units connected in series with every incoming transformer with optimize tap setting, via Stochastic approach using MATLAB® and SIMULINK® software. The results show a substantial improvement in terms of overall cost of energy consumption compared to the base case.
Volume: 8
Issue: 1
Page: 268-272
Publish at: 2017-10-01

Raman Pumping as an Energy Efficient Solution for NyWDM Flexible-grid Elastic Optical Networks

10.11591/ijece.v7i5.pp2627-2634
Arsalan Ahmad , Andrea Bianco , Vittorio Curri , Guido Marchetto , Sarosh Tahir
This paper investigates transparent wavelength routed optical networks using three different fiber types NZDSF, SMF and PSCF - and validates the effectiveness of Hybrid Raman/EDFA Fiber Amplification (HFA) with different pumping levels, up to the moderate 60% pumping regime. Nodes operate on the basis of flexible-grid elastic NyWDM transponders able to adapt the modulation format to the quality-of-transmission of the available lightpath, exploiting up to five 12.5 GHz spectral slots. Results consider a 37- node Pan-European network for variable Raman pumping level, span length and average traffic per node. We show that HFA in moderate pumping regime reduces the power consumption and enhances spectral efficiency for all three fiber types with particular evidence in NZDSF. In essence to that, introduction of HFA is also beneficial to avoid blocking for higher traffic loads.
Volume: 7
Issue: 5
Page: 2627-2634
Publish at: 2017-10-01

Loss Of Excitation (LOE) Protection of Synchronous Generator

10.11591/ijeecs.v8.i1.pp230-236
Hui Hwang Goh , Sy yi Sim , Mohd. Nasri Abd Samat , Ahmad Mahmoud Mohamed , Chin Wan Ling , Qing Shi Chua , Kai Chen Goh
Synchronous generators require certain protection against loss of excitation because it can lead to harmful effect to a generator and main grid. Systems of powers are evolving with applications of new techniques to increase reliability and security, at the meantime techniques upgradation is being existed to save financial cost of a different component of power system, which affect protection ways this report discuss the way of loss of excitation protection scheme for an increase in a synchronous generator. It is obvious that when direct axis synchronous reactance has a high value, the coordination among loss of excitation protection and excitation control is not effective. This lead to restricting absorption capability of the reactive power generator. This report also reviews the suitable philosophy for setting the limiters of excitation and discusses its effect on loss of excitation protection and system performance. A protection scheme is developed to allow for utilization of machine capability and power swing blocking is developed to increase the reliability when power swing is stable. 
Volume: 8
Issue: 1
Page: 230-236
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

Pulse Density Modulation Flyback Converter for LED Automotive Lighting

10.11591/ijeecs.v8.i1.pp85-91
Shinde Rohit , Ramachandiran Gunabalan , Mehtra Pavan Kumar
 Switched mode power supply (SMPS) converter is a dc-dc power electronic converter which is used to step up or step down the dc output voltage. A dimmable driver circuit for Light Emitting Diode (LED) lamp for automotive lighting with dimming feature is used in this paper. A flyback converter is used as a driver circuit operated in discontinuous conduction mode to perform dimming control of LEDs. High overall circuit efficiency is achieved by regulating the current through the LED lamps using pulse density modulation scheme. The LED driver circuit design and operating principle is discussed in detail. A gentle current control feature is achieved by pulse density modulation technique. The high performance driver circuit is designed for 25 W LED lamps.
Volume: 8
Issue: 1
Page: 85-91
Publish at: 2017-10-01

Enhanced BFGS Quasi-Newton Backpropagation Models on MCCI Data

10.11591/ijeecs.v8.i1.pp101-106
Nor Azura Md. Ghani , Saadi Ahmad Kamaruddin , Norazan Mohammed Ramli , Ismail Musirin , Hishamuddin Hashim
Neurocomputing is widely implemented in time series area, however the nearness of exceptions that for the most part happen in information time arrangement might be hurtful to the information organize preparing. This is on the grounds that the capacity to consequently discover any examples without earlier suppositions and loss of all-inclusive statement. In principle, the most well-known preparing calculation for Backpropagation calculations inclines toward lessening ordinary least squares estimator (OLS) or all the more particularly, the mean squared error (MSE). In any case, this calculation is not completely hearty when exceptions exist in preparing information, and it will prompt false estimate future esteem. Along these lines, in this paper, we show another calculation that control calculations firefly on slightest middle squares estimator (FFA-LMedS) for BFGS quasi-newton backpropagation neural network nonlinear autoregressive moving (BPNN-NARMA) model to lessen the effect of exceptions in time arrangement information. In the in the mean time, the monthly data of Malaysian Roof Materials cost index from January 1980 to December 2012 (base year 1980=100) with various level of exceptions issue is adjusted in this examination. Toward the finish of this paper, it was found that the upgraded BPNN-NARMA models utilizing FFA-LMedS performed extremely well with RMSE values just about zero errors. It is expected that the finding would help the specialists in Malaysian development activities to handle cost indices data accordingly.
Volume: 8
Issue: 1
Page: 101-106
Publish at: 2017-10-01

A Novel Optimization towards Higher Reliability in Predictive Modelling towards Code Reusability

10.11591/ijece.v7i5.pp2855-2862
Manoj H.M. , Nandakumar A.N.
Although, the area of software engineering has made a remarkable progress in last decade but there is less attention towards the concept of code reusability in this regards.Code reusability is a subset of Software Reusability which is one of the signature topics in software engineering. We review the existing system to find that there is no progress or availability of standard research approach toward code reusability being introduced in last decade. Hence, this paper introduced a predictive framework that is used for optimizing the performance of code reusability. For this purpose, we introduce a case study of near real-time challenge and involved it in our modelling. We apply neural network and Damped-Least square algorithm to perform optimization with a sole target to compute and ensure highest possible reliability. The study outcome of our model exhibits higher reliability and better computational response time.
Volume: 7
Issue: 5
Page: 2855-2862
Publish at: 2017-10-01

Evaluation of Standard Reference Environment for Photovoltaic Nominal Operating Cell Temperature Testing in Malaysia

10.11591/ijeecs.v8.i1.pp245-252
M. M. M. Hanifah , H. Zainuddin , M. Z. Hussin
This paper presents six months evaluation in determining Standard Reference Environment (SRE) for Photovoltaic (PV) Nominal Operating Cell Temperature (NOCT) testing of IEC61215 and IEC61646 that suits Malaysian climate. The SRE is established based on the median environmental conditions in Malaysia when solar PV is producing power. The site of the study is located at the Energy and Environment Field Lab, Universiti Teknologi MARA (UiTM) Shah Alam(3.066239ºN, 101.491685ºE). Three types of PV module technologies involved are monocrystalline, polycrystalline and copper indium diselenide (CIS) thin film. The experimental setup is a test bed that meets the IEC61215, IEC61646 and IEC61724 requirements. The measurements of        module temperature (MT) and open circuit voltage (VOC) are taken simultaneously for the three PV module technologies together with other ambient parameters of solar irradiance(SI), ambient temperature(AT), relative humidity(RH), wind speed (Ws) and wind direction(Wd). The data set is taken for a six months period from February 2017 to July 2017. Based on the results obtained, a new proposed SRE of NOCT testing for IEC61215 and IEC61646 has been established to suit Malaysian climate. The SI and AT values for the SRE are 300W/m2 and 31°C respectively.
Volume: 8
Issue: 1
Page: 245-252
Publish at: 2017-10-01

Current Comparison Domino based CHSK Domino Logic Technique for Rapid Progression and Low Power Alleviation

10.11591/ijece.v7i5.pp2468-2473
J. Muralidharan , P. Manimegalai
The proposed domino logic is developed with the combination of Current Comparison Domino (CCD) logic and Conditional High Speed Keeper (CHSK) domino logic. In order to improve the performance metrics like power, delay and noise immunity, the redesign of CHSK is proposed with the CCD. The performance improvement is based on the parasitic capacitance, which reduces on the dynamic node for robust and rapid process of the circuit. The proposed domino logic is designed with keeper and without keeper to measure the performance metrics of the circuit. The outcomes of the proposed domino logic are better when compared to the existing domino logic circuits. The simulation of the proposed CHSK based on the CCD logic circuit is carried out in Cadence Virtuoso tool.
Volume: 7
Issue: 5
Page: 2468-2473
Publish at: 2017-10-01

A Mixed Binary-Real NSGA II Algorithm Ensuring Both Accuracy and Interpretability of a Neuro-Fuzzy Controller

10.11591/ijece.v7i5.pp2614-2626
Faouzi Titel , Khaled Belarbi
In this work, a Neuro-Fuzzy Controller network, called NFC that implements a Mamdani fuzzy inference system is proposed. This network includes neurons able to perform fundamental fuzzy operations. Connections between neurons are weighted through binary and real weights. Then a mixed binary-real Non dominated Sorting Genetic Algorithm II (NSGA II) is used to perform both accuracy and interpretability of the NFC by minimizing two objective functions; one objective relates to the number of rules, for compactness, while the second is the mean square error, for accuracy. In order to preserve interpretability of fuzzy rules during the optimization process, some constraints are imposed. The  approach  is  tested  on  two  control examples:  a single  input  single  output (SISO) system  and  a  multivariable (MIMO) system.
Volume: 7
Issue: 5
Page: 2614-2626
Publish at: 2017-10-01

Internet of Things: Surveys for Measuring Human Activities from Everywhere

10.11591/ijece.v7i5.pp2474-2482
Amine Rghioui , Abdelmajid Oumnad
The internet of things (IoT), also called internet of all, is a new paradigm that combines several technologies such as computers, the internet, sensors network, radio frequency identification (RFID), communication technology and embedded systems to form a system that links the real worlds with digital worlds. With an increase in the deployment of smart objects, the internet of things should have a significant impact on human life in the near future. To understand the development of the IoT, this paper reviews the current research of the IoT, key technologies, the main applications of the IoT in various fields, and identifies research challenges. A main contribution of this review article is that it summarizes the current state of the IoT technology in several areas, and also the applications of IoT that cause side effects on our environment for monitoring and evaluation of the impact of human activity on the environment around us, and also provided an overview of some of the main challenges and application of IoT. This article presents not only the problems and challenges of IoT, but also solutions that help overcome some of the problems and challenges.
Volume: 7
Issue: 5
Page: 2474-2482
Publish at: 2017-10-01

Online Expert Systems For Bamboo Identification Using Case Based Reasoning

10.11591/ijece.v7i5.pp2766-2772
Endina Putri Purwandari , Ariefa Primair Yani , Ramanda Sugraha , Kurnia Anggriani , Endang Widi Winarni
Bamboo is a typical plant that thrives in tropical countries like Indonesia. The diversity of bamboo species makes difficult to classified, then requiring the expertise from specialist who understands deeply about bamboo characteristics. The paper purpose to (1) adopts the bamboo expert knowledge into bamboo criteria of expertise; (2) implementing Case Based Reasoning method in online expert system for bamboo identification in Bengkulu Province; and (3) determined the identification accuracy of bamboo using expert systems. The system uses Case Based Reasoning with four main steps: retrieve, reuse, revise, and retain. Bamboo expert identify bamboo criteria into 6 morphology, 31 features, and 219 attributes as an input system. The results showed that the Case Based Reasoning method has high accuracy for identifying the bamboo species and can solve the problem of bamboo identification as a new case based on old case that stored in the base case.
Volume: 7
Issue: 5
Page: 2766-2772
Publish at: 2017-10-01

Modeling of Dynamical System Piloted by Discrete Subsystem Based on Bond Graph Approach

10.11591/ijece.v7i5.pp2902-2910
Ben Salem J , Lakhoua M.N. , El Amraoui L
This paper is a contribution to the analysis and modeling of a mechatronic system with dynamic behavior that is controlled by a digital computer. In this paper, a bibliographic research on mechatronic systems is presented by specifying a case study of the Anti-lock Braking System (ABS). Then, a methodology of systemic modeling of the ABS system based on two methods Structured Analysis Design Technique (SADT) and bond graph (BG) is proposed. The model created is validated with three software programs:  CarSim, 20 Sim and Simulink.
Volume: 7
Issue: 5
Page: 2902-2910
Publish at: 2017-10-01

Development of Acoustical Feature Based Classifier Using Decision Fusion Technique for Malay Language Disfluencies Classification

10.11591/ijeecs.v8.i1.pp262-267
Raseeda Hamzah , Nursuriati Jamil , Rosniza Roslan
Speech disfluency such as filled pause (FP) is a hindrance in Automated Speech Recognition as it degrades the accuracy performance. Previous work of FP detection and classification have fused a number of acoustical features as fusion classification is known to improve classification results. This paper presents new decision fusion of two well-established acoustical features that are zero crossing rates (ZCR) and speech envelope (ENV) with eight popular acoustical features for classification of Malay language filled pause (FP) and elongation (ELO). Five hundred ELO and 500 FP are selected from a spontaneous speeches of a parliamentary session and Naïve Bayes classifier is used for the decision fusion classification. The proposed feature fusion produced better classification performance compared to single feature classification with the highest F-measure of 82% for both classes.
Volume: 8
Issue: 1
Page: 262-267
Publish at: 2017-10-01
1 2 3
...
1788 1789
Show 1323 of 1789

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