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28,593 Article Results

Design of Remote Control Juvenile Healthy Smart Pillow

10.11591/ijeecs.v7.i1.pp97-106
Huadong Zhou , Xuran He , Jiaheng Yang , Lifan Liao
High-quality modern life results in many unique diseases of modern people, cervical spondylosis, sleep disorders. Adolescents lack of sleep have a negative impac on the students themselvest. Not only it will reduce the body resistance, prone to a variety of diseases, but also it make learning when the spirit is not concentrated, attention is decreased, thus affecting the learning state. Long-term lack of sleep will lead to psychological problems, a potential threat is formed to the physical and mental health of young people. To this end, based on WeChat platform, a young people's health intelligence pillow is designed, it can be remotely controned.
Volume: 7
Issue: 1
Page: 97-106
Publish at: 2017-07-01

Towards Robust Non-Fragile Control in Wind Energy Engineering

10.11591/ijeecs.v7.i1.pp29-42
M. A. Ebrahim
Blade Pitch Controller (BPC) that can cope system uncertainties is one of the most interesting topics in wind energy engineering. Therefore, this paper presents a step towards the design of robust non-fragile BPC for wind energy conversion system. The proposed approach presents all boundaries of stability region that can guarantee robust stability (RS) over a wide range of operating conditions. The proposed technique results from the complementarity of both Root-Locus and Routh-Hurwitz (RL/RH) approach. Continuous variation in the operating conditions is tackled through a new hybrid control technique based on the referential integrity of both RL/RH and Kharitonov (Kh) theorem. Simulation results confirm the effectiveness of the proposed designing approach in computing the most resilient and robust controller.
Volume: 7
Issue: 1
Page: 29-42
Publish at: 2017-07-01

Efficiency of JSON for Data Retrieval in Big Data

10.11591/ijeecs.v7.i1.pp250-262
Mohd Kamir Yusof
Big data is the latest industry buzzword to describe large volume of structured and unstructured data that can be difficult to process and analyze. Most of organization looking for the best approach to manage and analyze the large volume of data especially in making a decision. XML is chosen by many organization because of powerful approach during retrieval and storage processes. However, XML approach, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, two databases approaches namely Extensible Markup Language (XML) and Java Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records of publication data. The results showed JSON is the best choice for query retrieving speed and CPU usage. These are essential to cope with the characteristics of publication’s data. Whilst, XML and JSON technologies are relatively new to date in comparison to the relational database. Indeed, JSON technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.
Volume: 7
Issue: 1
Page: 250-262
Publish at: 2017-07-01

A Multi Output Formulation for Analog Circuits using MOM-SVM

10.11591/ijeecs.v7.i1.pp90-96
Shivalal Patro , Sushanta Kumar Mandal
This paper proposes performance based macro modeling of analog circuit using Multi Output Modeling (MOM) with the help of Support Vector Machine (SVM). SVM models the analog circuits and provides a relation between multi-input and multi-output parameters. In this work, Voltage Controlled Oscillator (VCO) is modeled as a test circuit which is designed in Cadence Virtuoso GPDK 45nm technology. From the Spice simulation results, the feasible dataset has been extracted from the complete dataset. Then, the VCO output frequency and phase noise is modeled by the width of the transistors which are the input parameters of the transistors. After tuning the model properly by k-cross validation method, the accuracy was found to be 96.1% which is good enough to make it use for the circuit synthesis purpose.
Volume: 7
Issue: 1
Page: 90-96
Publish at: 2017-07-01

Development of Photo Forensics Algorithm by Detecting Photoshop Manipulation using Error Level Analysis

10.11591/ijeecs.v7.i1.pp131-137
Teddy Surya Gunawan , Siti Amalina Mohammad Hanafiah , Mira Kartiwi , Nanang Ismail , Nor Farahidah Za'bah , Anis Nurashikin Nordin
Nowadays, image manipulation is common due to the availability of image processing software, such as Adobe Photoshop or GIMP. The original image captured by digital camera or smartphone normally is saved in the JPEG format due to its popularity. JPEG algorithm works on image grids, compressed independently, having size of 8x8 pixels. For unmodified image, all 8x8 grids should have a similar error level. For resaving operation, each block should degrade at approximately the same rate due to the introduction of similar amount of errors across the entire image. For modified image, the altered blocks should have higher error potential compred to the remaining part of the image. The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation. The error level analysis (ELA) was further enhanced using vertical and horizontal histograms of ELA image to pinpoint the exact location of modification. Results showed that our proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications.
Volume: 7
Issue: 1
Page: 131-137
Publish at: 2017-07-01

Estimation of Millimeter Wave Attenuation Due to Rain using 2D Video Distrometer Data in Malaysia

10.11591/ijeecs.v7.i1.pp164-169
Manhal Alhilali , Jafri Din , Michael Schönhuber , Hong Yin Lam
The increasing use of millimeter wave frequency bands requires a good understanding of the atmospheric channel. In equatorial regions, rain plays the central role in the impairment of millimeter wave propagation. Using large amounts of precise data collected by a two-dimensional video distrometer in Malaysia, the rain-specific attenuation of both vertically and horizontally polarized waves at the 38 GHz frequency was computed by applying the T-matrix technique. Good agreement is observed between these computations and fitted power law models from neighboring areas, but the ITU-R Recommendation P.838-3 significantly underestimates the rain-specific attenuation. The importance of including raindrop axial ratio in the calculation is revealed by differences among the local fitted coefficients for the vertically polarized estimations. The power law fit is provided, and the measurement is verified.
Volume: 7
Issue: 1
Page: 164-169
Publish at: 2017-07-01

Chemical by-Product Diagnostic Technique for Gas Insulated Switchgear Condition Monitoring

10.11591/ijeecs.v7.i1.pp18-28
Visa Musa Ibrahim , Zulkurnain Abdul-Malek , Nor Asiah Muhamad
Chemical by product diagnostic technique is an efficient, cost-effective and reliable diagnostic technique for gas insulate switchgear condition monitoring in view of its high sensitivity and anti- internal and external electromagnetic interference and noise. In this research paper, coaxial simulated gas insulated switchgear chamber and four different types of artificial defect were designed to cause partial discharge that will simulate the decomposition of sulphur hexafluoride gas in the chamber when energize. Fourier transform infrared spectrometer was used as the method of chemical by-product technique to detect the SF6 decomposition product and its concentration. Different numerous by-products were detected (SO2, SOF2, SO2F2, SO2F10, SiF4, CO, C3F8, C2F6 ) under this experiment using four different types of defect and the by-products differs with the type of defect and the generation rate. Gas insulated switchgear health condition can be feasibly diagnosed by analyzing the decomposition products of SF6 to identify its fault. 
Volume: 7
Issue: 1
Page: 18-28
Publish at: 2017-07-01

A Hybrid Feature Selection Based on Mutual Information and Genetic Algorithm

10.11591/ijeecs.v7.i1.pp214-225
Yuan-Dong Lan
Feature selection aims to choose an optimal subset of features that are necessary and sufficient to improve the generalization performance and the running efficiency of the learning algorithm. To get the optimal subset in the feature selection process, a hybrid feature selection based on mutual information and genetic algorithm is proposed in this paper. In order to make full use of the advantages of filter and wrapper model, the algorithm is divided into two phases: the filter phase and the wrapper phase. In the filter phase, this algorithm first uses the mutual information to sort the feature, and provides the heuristic information for the subsequent genetic algorithm, to accelerate the search process of the genetic algorithm. In the wrapper phase, using the genetic algorithm as the search strategy, considering the performance of the classifier and dimension of subset as an evaluation criterion, search the best subset of features. Experimental results on benchmark datasets show that the proposed algorithm has higher classification accuracy and smaller feature dimension, and its running time is less than the time of using genetic algorithm.
Volume: 7
Issue: 1
Page: 214-225
Publish at: 2017-07-01

Comparative Study of Fuzzy Logic Mobility Based FLM-AODV Routing Protocol and AODV in MANETs

10.11591/ijeecs.v7.i1.pp158-163
Vivek Sharma , Bashir Alam , M. N. Doja
In mobile ad hoc wireless networks (MANETs), traditional protocol like AODV performs well for low mobility of nodes but not for high node mobility. So, it becomes important to consider mobility factor during the path selection procedure of routing protocol. Here, a fuzzy logic mobility based protocol (FLM-AODV) that considers the mobility factor is proposed. Due to the consideration of mobility factor, the proposed protocol has better performance than the traditional AODV. The experiment results show that the proposed protocol has advantages of improved average end-to-end delay and packet delivery ratio (PDR) over existing AODV protocol.
Volume: 7
Issue: 1
Page: 158-163
Publish at: 2017-07-01

A Condorcet Voting Theory Based AHP Approach for MCDM Problems

10.11591/ijeecs.v7.i1.pp276-286
Sweta Bhattacharya , V Raju
Analytical Hierarchical Process has been used as a useful methodology for multi-criteria decision making environments with substantial applications in recent years. But the weakness of the traditional AHP method lies in the use of subjective judgement based assessment and standardized scale for pairwise comparison matrix creation. The paper proposes a Condorcet Voting Theory based AHP method to solve multi criteria decision making problems where Analytical Hierarchy Process (AHP) is combined with Condorcet theory based preferential voting technique followed by a quantitative ratio method for framing the comparison matrix instead of the standard importance scale in traditional AHP approach. The consistency ratio (CR) is calculated for both the approaches to determine and compare the consistency of both the methods. The results reveal Condorcet – AHP method to be superior generating lower consistency ratio and more accurate ranking of the criterion for solving MCDM problems.
Volume: 7
Issue: 1
Page: 276-286
Publish at: 2017-07-01

Prototype Design of Smart Home System using Internet of Things

10.11591/ijeecs.v7.i1.pp107-115
Teddy Surya Gunawan , Intan Rahmithul Husna Yaldi , Mira Kartiwi , Nanang Ismail , Nor Farahidah Za'bah , Hasmah Mansor , Anis Nurashikin Nordin
Smart home control system can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. However, it is still an open problem due to difficulties such as network distance, signal interference, not user friendly, increased cost and power consumption. This paper reviews various topics on smart home technologies including control system, smart home network, smart home appliance and sensor technologies for smart home. In this research, the proposed prototype of home automation allows users to remotely switch on or off any household appliance based on Internet of Things (IoT) with the enhancement of solar charger. The smartphone and/or tablet replaces the manual use of personal computer without the need for high additional cost. This prototype uses four types of sensors i.e. PIR sensor, temperature sensor, ultrasonic sensor and smoke gas sensor for automatic environmental control and intrusion detection.
Volume: 7
Issue: 1
Page: 107-115
Publish at: 2017-07-01

Detection & Classification of Cardiac Arrhythmia

10.11591/ijict.v6i1.pp31-36
Chetan M. Jadhav , V. K. Bairagi
The term Arrhythmia refers to any change from the normal sequence in the electrical impulses. It is also treated as abnormal heart rhythms or irregular heartbeats. The rate of growth of Cardiac Arrhythmia disease is very high & its effects can be observed in any age group in society. Arrhythmia detection can be done in many ways but effective & simple method for detection & diagnosis of  Cardiac Arrhythmia is by doing analysis of Electrocardiogram signals from ECG sensors. ECG signal can give us the detail information of heart activities, so we can use ECG signals to detect the rhythm & behaviour of heart beats resulting into detection & diagnosis of Cardiac Arrhythmia. In this paper new & improved methodology for early Detection & Classification of Cardiac Arrhythmia has been proposed. In this paper ECG signals are captured using ECG sensors & this ECG signals are used & processed to get the required data regarding heart beats of the human being & then proposed methodology applies for Detection & Classification of Cardiac Arrhythmia. Detection of Cardiac Arrhythmia using ECG signals allows us for easy & reliable way with low cost solution to diagnose Arrhythmia in its prior early stage.
Volume: 6
Issue: 1
Page: 31-36
Publish at: 2017-06-22

Coplanar Waveguide Fed Circularly Polarized Notch Band Antenna with Defected Ground Structure

10.11591/ijict.v6i1.pp58-68
P Poorna Priya , Habibulla Khan , B T P Madhav
A compact printed wideband antenna with circular polarization is designed and the antenna parameters are analyzed in this work. Finite Element method based HFSS tool is used to design and simulate the antenna model. A basic structure of rectangular monopole is converted into a trapezoidal shape with tapered step ground. Different iterations of radiating element as well as defected ground structures are examined in this work to analyze the circular polarization characteristics of the antenna. A peak realized gain of 4.3dB and peak directivity of 3.8dB is attained from the current designed models. The design models are optimized and prototyped on FR4 substrate for measurement validation. By incorporating Split ring resonator (SRR) notch band characteristics are attained in the proposed wideband antenna.
Volume: 6
Issue: 1
Page: 58-68
Publish at: 2017-06-22

Comparison of the Resonant Frequency Determination of a Microstrip Patch Antenna using ANN and Analytical Methods

10.11591/ijict.v6i1.pp1-9
Lahcen Aguni , Samira Chabaa , Saida Ibnyaich , Abdelouhab Zeroual
In this paper we are interested to calculate the resonant frequency of rectangular patch antenna using artificial neural networks based on the multilayered perceptrons. The artificial neural networks built, transforms the inputs which are, the width of the patch W, the length of the patch L, the thickness of the substrate h and the dielectric permittivity to the resonant frequency fr which is an important parameter to design a microstrip patch antenna.The proposed method based on artificial neural networks is compared to some analytical methods using some statistical criteria. The obtained results demonstrate that artificial neural networks are more adequate to achieve the purpose than the other methods and present a good argument with the experimental results available in the literature. Hence, the artificial neural networks can be used by researchers to predict the resonant frequency of a rectangular patch antenna knowing length (L), width (W), thickness (h) and dielectric permittivity with a good accuracy.
Volume: 6
Issue: 1
Page: 1-9
Publish at: 2017-06-22

New Image Compression Algorithm using Haar Wavelet Transform

10.11591/ijict.v6i1.pp43-48
R. El Ayachi , B. Bouikhalene , M. Fakir
The compression is a process of Image Processing which interested to change the information representation in order to reduce the stockage capacity and transmission time. In this work we propose a new image compression algorithm based on Haar wavelets by introducing a compression coefficient that controls the compression levels. This method reduces the complexity in obtaining the desired level of compression from the original image only and without using intermediate levels.
Volume: 6
Issue: 1
Page: 43-48
Publish at: 2017-06-22
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