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27,762 Article Results

Non-contact Heart Rate Monitoring Analysis from Various Distances with different Face Regions

10.11591/ijece.v7i6.pp3030-3036
Norwahidah Ibrahim , Razali Tomari , Wan Nurshazwani Wan Zakaria , Nurmiza Othman
Heart rate (HR) is one of vital biomedical signals for medical diagnosis. Previously, conventional camera is proven to be able to detect small changes in the skin due to the cardiac activity and can be used to measure the HR. However, most of the previous systems operate on near distance mode with a single face patch, thus the feasibility of the remote heart rate for various distances remains vague. This paper tackles this issue by analyzing an optimal framework that capable to works under the mentioned issues. Initially, plausible face landmarks are estimated by employing cascaded of regression mechanism. Next, the region of interest (ROI) was constructed from the landmarks in a face location where non rigid motion is minimal. From the ROI, temporal photoplethysmograph (PPG) signal is calculated based on the average green pixels intensity and environmental illumination is separated using Independent Component Analysis (ICA) filter. Eventually, the PPG signal is further processed using series of temporal filter to exclude frequencies outside the range of interest prior to estimate the HR. As a conclusion, the HR can be detected up to 5 meters range with 94% accuracy using lower part of face region.
Volume: 7
Issue: 6
Page: 3030-3036
Publish at: 2017-12-01

Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources

10.11591/ijece.v7i6.pp3164-3175
Mario Diván , María de los Ángeles Martín
In this work an updating of the C-INCAMI (Context-Information Need, Concept model, Attribute, Metric and Indicator) conceptual framework for Measurement and Evaluation projects was proposed. The updating incorporated better supporting for the measures stream processing. Therefore, a new version of the measurement interchange schema based on the updated C-INCAMI framework was introduced. This new schema incorporated the concept of “complementary data” linking them with geographic information. The complementary data could be associated with the measures and allowed us incorporating video, geographic information, text plain, audio or pictures with the quantitative measures (deterministic or estimated) jointly. A practical case associated with the Weather Radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) was shown, indicating the advantages of the new schema.
Volume: 7
Issue: 6
Page: 3164-3175
Publish at: 2017-12-01

Single Phase Inverter System using Proportional Resonant Current Control

10.11591/ijpeds.v8.i4.pp1913-1918
K.C. Chen , S. Salimin , S. A. Zulkifli , R. Aziz
This paper presents the harmonic reduction performance of proportional resonant (PR) current controller in single phase inverter system connected to nonlinear load. In the study, proportional resonant current controller and low pass filter is discussed to eliminate low order harmonics injection in single phase inverter system. The potential of nonlinear load in producing harmonics is showed and identified by developing a nonlinear load model using a full bridge rectifier circuit. The modelling and simulation is done in MATLAB Simulink while harmonic spectrum results are obtained using Fast Fourier Transfor. End result show PR current controller capability to overcome the injection of current harmonic problems thus improved the overall total harmonic distortion (THD).
Volume: 8
Issue: 4
Page: 1913-1918
Publish at: 2017-12-01

A Leaky Wave Antenna Design Based on Half-mode Substrate Integrated Waveguide Technology for X Band Applications

10.11591/ijece.v7i6.pp3467-3474
S. Doucha , M. Abri , H. Abri Badaoui , B. Fellah
A new type of leaky-wave antenna (LWA) using half-mode substrate integrated waveguide (HMSIW) as the base structure is proposed in this paper. The structure consists of an array of slot, antenna designed to operate in X band applications from 8 to 12 GHz. HMSIW preserves nearly all the advantages of SIW whereas its size is nearly reduced by half. The antenna radiates one main beam that can be steered from the backward to the forward direction by changing frequency.
Volume: 7
Issue: 6
Page: 3467-3474
Publish at: 2017-12-01

A Novel Fuzzy Self Tuning Technique of Single Neuron PID Controller for Brushless DC Motor

10.11591/ijpeds.v8.i4.pp1705-1713
M.A. Abdel Ghany , Mohamed A. Shamseldin , A.M. Abdel Ghany
In this paper, a combination ANN/Fuzzy technique is used to design a Novel Fuzzy Single Neuron PID (NFSNPID) controller to achieve high performance brushless DC motor. The design steps include two parts. The first part uses the genetic algorithm (GA) to find the optimum parameters of Single Neuron PID (SNPID) controller, while the former deals with the design of fuzzy logic control to update the weights of SNPID control online. To demonstrate the designed controller effectiveness, a comparative study is made with between the NFSNPID, Conventional Fuzzy Single Neuron PID CFSNPID and SNPID. All controllers were used to drive, separately, the brushless DC motor against the sudden change of load and operating speed. The performed simulations show better results that motivate for further investigations.
Volume: 8
Issue: 4
Page: 1705-1713
Publish at: 2017-12-01

Photovoltaic Thermal (PVT) System with and Without Fins Collector: Theoretical Approach

10.11591/ijpeds.v8.i4.pp1756-1763
Muhammad Zohri , Nurato Nurato , Ahmad Fudholi
The fins collector design for solar thermal has widely been used and it has a higher thermal efficiency than without Fins. Photovoltaic thermal (PV/T) system produced Electrical and thermal energy instantaneously. Mathematical modeling based on steady-state thermal analysis of PV/T system with and without fins was conducted with matrix inversion method. The value results show that the PV/T system with fins collector is higher thermal and electrical efficiency than without fins.
Volume: 8
Issue: 4
Page: 1756-1763
Publish at: 2017-12-01

Finding Bad Code Smells with Neural Network Models

10.11591/ijece.v7i6.pp3613-3621
Dong Kwan Kim
Code smell refers to any symptom introduced in design or implementation phases in the source code of a program. Such a code smell can potentially cause deeper and serious problems during software maintenance. The existing approaches to detect bad smells use detection rules or standards using a combination of different object-oriented metrics. Although a variety of software detection tools have been developed, they still have limitations and constraints in their capabilities. In this paper, a code smell detection system is presented with the neural network model that delivers the relationship between bad smells and object-oriented metrics by taking a corpus of Java projects as experimental dataset. The most well-known object-oriented metrics are considered to identify the presence of bad smells. The code smell detection system uses the twenty Java projects which are shared by many users in the GitHub repositories. The dataset of these Java projects is partitioned into mutually exclusive training and test sets. The training dataset is used to learn the network model which will predict smelly classes in this study. The optimized network model will be chosen to be evaluated on the test dataset. The experimental results show when the modelis highly trained with more dataset, the prediction outcomes are improved more and more. In addition, the accuracy of the model increases when it performs with higher epochs and many hidden layers.
Volume: 7
Issue: 6
Page: 3613-3621
Publish at: 2017-12-01

Asymmetrical Half-join Method on Dual Vision Face Recognition

10.11591/ijece.v7i6.pp3411-3420
Edy Winarno , Imam Husni Al Amin , Wiwien Hadikurniawati
This research proposes a model of face recognition using the method of joining two face images from left and right lens from a stereo vision camera namely half-join method. Half-join method is used in face image normalization processing. The proposed half-join method is a face images joining model, which is called asymmetrical half-join. In asymmetrical half-join method, a RoI (region of interest) of face image from left and right lenses are provided based on axis center of each eye in eye detection. The cropping of face image from asymmetrical half-join model has different width depends on eyes coordinate location. The proposed system shows that the asymmetrical half-join method can produce a better of face recognition rate. The experimental results show that the asymmetrical half-join method has a better recognition rate and computation time than single vision method and symmetrical half-join method.
Volume: 7
Issue: 6
Page: 3411-3420
Publish at: 2017-12-01

Reactive Power Compensation in Industrial Grid via High-power Adjustable Speed Drives with Medium Voltage 3L-NPC BtB converters

10.11591/ijpeds.v8.i4.pp1455-1466
Radionov A.A., A. A. , Gasiyarov Vadim R. , Maklakov Alexander S. , Maklakova Ekaterina A.
The objective of this study is to develop and research a new method of reactive power compensation in industrial grid via high-power adjustable speed drives (HP ASDs) with medium voltage (MV) three level neutral point clamped back-to-back (3L-NPC BtB) converters. The article is concerned with the mathematical description, control system designing and obtaining of experimental results. An important advantage of the new method is that specialized equipment is not necessary for its implementation. The analysis of our experimental research shows that the developed reactive power compensation method has been successfully applied for main HP ASD of plate mill rolling state 5000 (Magnitogorsk Iron and Steel Works, PJSC). Some ways for future industrial application prospects and improvements of the designed method are outlined in the conclusion of the paper.
Volume: 8
Issue: 4
Page: 1455-1466
Publish at: 2017-12-01

A Novel Four-Phase Active Boost Switched Reluctance Inverter for High Speed SRM Drive

10.11591/ijpeds.v8.i4.pp1562-1574
J. L. Beniwal , R. K. Tripathi
A novel four-phase active boost switched reluctance inverter (SRI) having capability of improving performance of high speed SRM drive is presented. The proposed SRI provides fast fluxing as well as rapid de-fluxing with only two additional small voltage rating boost capacitors as compared to conventional SRI. Two boost capacitors were connected in such a way that each boost capacitor handles two alternate phases. This is an alternate solution to the problem caused by the overlap phase current which prevents the boost capacitor voltage to buildup. In proposed SRI, either of a boost capacitor and dc-link source forms the series connection during fluxing and de-fluxing period. Thus, the higher voltage for fluxing of SRM and negative higher voltage for de-fluxing of SRM are obtained. The operating mode analysis of proposed SRI are given in detail. The simulation for the conventional and proposed SRI has been performed and compared. And results justify the superior performance of proposed SRI.
Volume: 8
Issue: 4
Page: 1562-1574
Publish at: 2017-12-01

A Response Analysis of Mobile Augmented Reality Application for Tourism Objects

10.11591/ijece.v7i6.pp3500-3506
Imam Tahyudin , Dhanar Intan Surya Saputra
As a form of innovation in a promotion media Tourism Objects in Indonesia especially at Purbalingga District, one is through Mobile Augmented Reality (MAR). The utilization of technology application of MAR, give the impression of interactive and real towards an object tourism and provide a special experience for tourists to get the information completely including the tourism location. To deliver care facilities to users, we need the evaluation to development or improvement for next application. The method used in this research is evaluation of user satisfaction towards the multimedia elements. The result of MAR user satisfaction showed that almost all respondents are well satisfied.
Volume: 7
Issue: 6
Page: 3500-3506
Publish at: 2017-12-01

SmartBike: an IoT Crowd Sensing Platform for Monitoring City Air Pollution

10.11591/ijece.v7i6.pp3602-3612
Fulvio Corno , Teodoro Montanaro , Carmelo Migliore , Pino Castrogiovanni
In recent years, the Smart City concept is emerging as a way to increase efficiency, reduce costs, and improve the overall quality of citizen life. The rise of Smart City solutions is encouraged by the increasing availability of Internet of Things (IoT) devices and crowd sensing technologies. This paper presents an IoT Crowd Sensing platform that offers a set of services to citizens by exploiting a network of bicycles as IoT probes. Based on a survey conducted to identify the most interesting bike-enabled services, the SmartBike platform provides: real time remote geo-location of users’ bikes, anti-theft service, information about traveled route, and air pollution monitoring. The proposed SmartBike platform is composed of three main components: the SmartBike mobile sensors for data collection installed on the bicycle; the end-user devices implementing the user interface for geo-location and anti-theft; and the SmartBike central servers for storing and processing detected data and providing a web interface for data visualization. The suitability of the platform was evaluated through the implementation of an initial prototype. Results demonstrate that the proposed SmartBike platform is able to provide the stated services, and, in addition, that the accuracy of the acquired air quality measurements is compatible with the one provided by the official environmental monitoring system of the city of Turin. The described platform will be adopted within a project promoted by the city of Turin, that aims at helping people making their mobility behavior more sustainable.
Volume: 7
Issue: 6
Page: 3602-3612
Publish at: 2017-12-01

Evaluating Aggregate Functions of Iceberg Query Using Priority Based Bitmap Indexing Strategy

10.11591/ijece.v7i6.pp3745-3752
Kale Sarika Prakash , P.M. Joe Prathap
Aggregate function and iceberg queries are important and common in many applications of data warehouse because users are generally interested in looking for variance or unusual patterns. Normally, the nature of the queries to be executed on data warehouse are the queries with aggregate function followed by having clause, these type of queries are known as iceberg query. Especially to have efficient techniques for processing aggregate function of iceberg query is very important because their processing cost is much higher than that of the other basic relational operations such as SELECT and PROJECT. Presently available iceberg query processing techniques faces the problem of empty bitwise AND,OR  XOR operation and requires more I/O access and time.To overcome these problems proposed research provides efficient algorithm to execute iceberg queries using priority based bitmap indexing strategy. Priority based approach consider  bitmap vector to be executed as per the priority.Intermediate results are evaluated to find probability of result.Fruitless operations are identified and skipped in advance which help to reduce I/O access and time.Time and iteration required to process query is reduced [45-50] % compare to previous strategy.  Experimental result proves the superiority of priorty based approach compare to previous bitmap processing approach.
Volume: 7
Issue: 6
Page: 3745-3752
Publish at: 2017-12-01

Driver Drowsiness Detection System Using Sensors

10.11591/ijict.v6i3.pp139-145
Kusuma Kumari B.M , Sampada Sethi , Ramakanth Kumar P , Nishant Kumar , Atulit Shankar
A low-cost and simple distributed sensors model that is particularly suitable for measuring eye blink of the driver, accident and hand position on a steering wheel. These sensors can be used in automotive active safety systems that aim at detecting driver’s fatigue, a major issue to prevent road accidents. The key point of this approach is to design a prototype of sensor units, so that it can serve as platform for integrating different kinds of sensors into the steering wheel. Since the sensors are attached to the steering wheel, therefore they can’t be detached by the driver. It will also detect dangerous stylish driving which may lead to fatal accidents. The major drawback is that the eye blink sensors frame worn by the driver can be removed causing the sensor non-operational. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver shuts his eyes for approximately 3 seconds and also the LCD displays the respective warning message. The wheel is slowed or stopped depending on the condition. This is accompanied by the vehicle’s owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and a list of nearby police stations through an android mobile application. Therefore, driver can be alerted during drowsiness and the owner can be notified simultaneously.
Volume: 6
Issue: 3
Page: 139-145
Publish at: 2017-12-01

Implementation of Cloud Connected Smart Robot for Environmental and Industrial Platform

10.11591/ijeecs.v8.i3.pp645-647
Senthil Kumar M. , V. Mathivanan
Cloud robotics is an emerging field that is centred on the benefits of converged infrastructure and shared services of a cloud computing environment. In this paper, a system is designed with an autonomous Pick and Place robot to sense environmental data such as temperature and Motion, along with GPS coordinates and sends them on the cloud. The mobile robot is controlled using an LPC1764 microcontroller and communicates with the cloud via a CC3200 Launchpad. A private cloud is set up using Open Stack that provides Infrastructure as a Service. The collected data are stored in a cloud server which could be viewed through a mobile app and can be used to create awareness about the environmental changes of the location under study. A proof-of-concept prototype has been developed to illustrate the effectiveness of the proposed system.
Volume: 8
Issue: 3
Page: 645-647
Publish at: 2017-12-01
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