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Application of a controlled outside cold airflow by a PID controller to improve the performance of a household refrigerator

10.11591/ijece.v6i4.pp1662-1672
Emna Aridhi , Mehdi Abbes , Abdelkader Mami
The present paper aims to prove the efficiency of using the cold to improve the performance of a household refrigerator. It is produced naturally in countries that are characterized by a severe wintry climate. The cold airflow is spread out inside a cavity covering the side wall of the appliance, which is connected to the inlet and outlet ducts. For that purpose, a Simulink model is proposed to model this installation. The internal air temperature is computed according to the evaporator temperature and the outside cold airflow that is also computed according to the outside temperature and controlled by a PID controller. The simulation results show that when the internal air temperature is higher than the desired one and the outside temperature is low enough, the controlled cold airflow used as a second cooling source allowed to speed-up the cooling inside the refrigerator compartment of about 36.21% and to reach an energy saving of about 36.23% compared with the classical thermostatic control.
Volume: 6
Issue: 4
Page: 1662-1672
Publish at: 2016-08-01

Hybrid Approach for Prediction of Cardiovascular Disease Using Class Association Rules and MLP

10.11591/ijece.v6i4.pp1800-1810
Srinivas Konda , Kavitha Rani Balmuri , Ramasubba Reddy Basireddy , Ravindar Mogili
:  In data mining classification techniques are used to predict group membership for data instances. These techniques are capable of processing a wider variety of data and the output can be easily interpreted. The aim of any classification algorithm is the design and conception of a standard model with reference to the given input. The model thus generated may be deployed to classify new examples or enable a better comprehension of available data.  Medical data classification is the process of transforming descriptions of medical diagnoses and procedures used to find hidden information. Two experiments are performed to identify the prediction accuracy of Cardiovascular Disease (CVD).A hybrid approach for classification is proposed in this paper by combining the results of the associate classifier and artificial neural networks (MLP).  The first experiment is performed using associative classifier to identify the key attributes which contribute more towards the decision by taking the 13 independent attributes as input. Subsequently classification using Multi Layer Perceptrons (MLP) also performed to generate the accuracy of prediction using all attributes. In the second experiment, identified key attributes using associative classifier are used as inputs for the feed forward neural networks for predicting the presence or absence of CVD.
Volume: 6
Issue: 4
Page: 1800-1810
Publish at: 2016-08-01

A Feed forward Neural Network MPPT Control Strategy Applied to a Modified Cuk Converter

10.11591/ijece.v6i4.pp1421-1433
Mohamed Tahar Makhloufi , Yassine Abdessemed , Mohamed Salah Khireddine
This paper presents an intelligent control strategy that uses a feedforward artificial neural network in order to improve the performance of the MPPT (Maximum Power Point Tracker) MPPT photovoltaic (PV) power system based on a modified Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller. To overcome this problem, a neural network controller with online learning back propagation algorithm is developed. The NNC designed tracked the converter voltage output and improve the dynamic performance regardless load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is then analyze and verified using MATLAB-Simulink. Simulation results confirm the excellent performance of the proposed NNC.
Volume: 6
Issue: 4
Page: 1421-1433
Publish at: 2016-08-01

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

10.11591/ijece.v6i4.pp1570-1576
Manjunatha R C , Rekha K R , Nataraj K R
Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.
Volume: 6
Issue: 4
Page: 1570-1576
Publish at: 2016-08-01

Multiband OFDM for Cognitive Radio – A Way for Cyclostationary Detection and Interference Cancellation

10.11591/ijece.v6i4.pp1702-1709
Avila J , Thenmozhi K
With the tremendous growth in wireless technology there has been a shortage in the spectrum utilized for certain applications while some spectrum remains idle. To overcome this problem and for the efficient utilization of the spectrum cognitive radio is the suitable solution.Multiband OFDM can be easily modeled as cognitive radio, a technology that is employed for utilizing the available spectrum in the most efficient way. Since sensing of the free spectrum for detecting the arrival of the primary users is the foremost job of cognitive, here cyclostationary based spectrum sensing is carried out. Its performance is investigated using universal software defined radio peripheral (USRP) kit which is the hardware test bed for the cognitive radio system. Results are shown using Labview software. Further to mitigate the interference between the primary and cognitive users a modified intrusion elimination (AIC) algorithm had been proposed which in turn ensures the coexistence of both the users in the same wireless environment.
Volume: 6
Issue: 4
Page: 1702-1709
Publish at: 2016-08-01

A Criterion on Existence and Uniqueness of Behavior in Electric Circuit

10.11591/ijece.v6i4.pp1529-1533
Takuya Hirata , Eko Setiawan , Kazuya Yamaguchi , Ichijo Hodaka
Behavior of electric circuits can be observed by solving circuit equations symbolically as well as numerically. In general, symbolic computation for circuits with certain number of circuit elements needs much more time than numerical computation. It is reasonable to check the existence and uniqueness of the solution to circuit equations beforehand in order to avoid computation for the case of no solution. Indeed, some circuits have no solution; in that case, one should notice it and avoid to wait meaningless computation. This paper proposes a new theorem to check whether given circuit equations have a solution and their voltages and currents of all circuit elements are uniquely determined or not. The theorem is suitable for developing a computer algorithm and helps quick symbolic computation for electric circuits.
Volume: 6
Issue: 4
Page: 1529-1533
Publish at: 2016-08-01

Improving the power factor correction in the presence of harmonics by reducing the effect of resonance and harmonics

10.11591/ijeecs.v3.i2.pp282-295
Saber M. Saleh , Mohamed E. Arafa
Harmonics in electrical networks occur as a result of non-linear loads.  It has an effect on power factor improvement using capacitors in terms of increasing the unbalance current between units. In addition, the occurrence of resonance and result in the exit of capacitors from service by the protective relays to protect the units from collapse. The main objective of this research is the real-time study of improving the power factor with reducing the effect of the resonance and harmonics on the power system. This reduction can be done using filters, consist of reactors and capacitors connected in series or in parallel or series and parallel together to reduce the current harmonics or voltage harmonics. Single Tuned filter type (passive filter) is used which presents very low impedance at the tuning frequency, through which all current of that particular frequency will be diverted. This research presents two practical power systems 11kV source in Fayoum substation and 13.8kV source in New Badr substation connected to power factor Improvement circuit. These models simulated by Matlab at different unbalance currents and harmonics. Also, it presents the design of the series reactor and the harmonics filter which satisfy the minimum effect of resonance and harmonics.
Volume: 3
Issue: 2
Page: 282-295
Publish at: 2016-08-01

Development of System Tracer of Lost Aircraft

10.11591/ijict.v5i2.pp68-72
Siswayudi Azhari
Today the world has entered the era of modern air transport where human movement needed to support facilities and infrastructure that support for the movement of activity. The number of routes and flights are always growing by leaps and bounds every year.In Indonesia alone by more than 10 of the largest airliner in which two, namely Garuda Indonesia and Lion Airline, based on data in 2012 each have no less than 50 routes per day and more than 4,000 flights per week [1] (web magazine ZonaAero). To support the security and safety of air transport, the government through the aviation authorities are trying to build an adequate infrastructure. A number of local governments and central government together with Angkasa Pura and Airnav Indonesia (LPPNPI) has a lot to develop the airport terminal, lengthen and widen the runway, install instrument flight (radar, DVOR, ILS etc.), and make the regulations more guarantees The good level of a security and aviation safety.However, for things that are not desirable that may occur as aircraft accidents, it is necessary to support the system also prepared to facilitate the search for the location of the accident. Still clear in our memory how when, on May 9, 2012 a plane Sukhoi Superjet 100 has crashed in the promotion and demonstration flights. It takes more than one day to find the crash site in the area around Mount Salak located less than 100 kilometers from the capital city of Jakarta [2] (Indonesia Wikipedia).The distance of time ranging from a loss of communication with the aircraft until the discovery of the accident scene will be very good if it can be reduced to as small as possible. This will help Basarnas and NTSC accelerate the process of investigation and to provide certainty for the families of the victims as well as those of other interested parties.Location tracking system of aircraft accident would be able to find the location of a plane crash just a few moments after the breakdown of communication between the aircraft control tower / flight controller.
Volume: 5
Issue: 2
Page: 68-72
Publish at: 2016-08-01

Implementation of Object Recognition Based on Type of Vehicle Entering Main Gate

10.11591/ijeecs.v3.i2.pp458-467
Hairol Nizam Mohd Shah , Mohd Zamzuri Ab Rashid , Zalina Kamis , Muhammad Nizam Kamarudin , Mohd Fairus Abdollah , Alias Khamis
This project related to develop and implementation of object recognition based on type of vehicle entering the main gate to facilitate the employment data of vehicles entering according to the types of vehicles. Data for the number of vehicles in accordance with the types recorded. In completing this project, there are two algorithms used, the detection algorithm and classification algorithm. Vehicles will be classified by comparison in terms of it front light area and will be stored in three types of vehicles; sedan, multipurpose van or van, and four wheel drive. Wireless camera is mounted with 1.6 meters high on the pipe rod at the guard house as input for the processing algorithm. Vehicle image will be captured by a wireless camera and then processed to identify its type. Data for the type of vehicle and number of vehicles by type is shown through the Graphical User Interface (GUI). Inflow and outflow of vehicles can be monitored via the control unit (GUI) without human monitoring at the entrance.
Volume: 3
Issue: 2
Page: 458-467
Publish at: 2016-08-01

Monitoring Biosensors and Obtaining Data Using GSM Module

10.11591/ijict.v5i2.pp86-88
Hemavathy RM
The main focus of the project is to prevent the loss of human life against the discomfort and death caused by the lack of attention towards the patients due to the improper monitoring systems provided in the hospital. The aim of the project is to monitor the bio sensors attached to the persons in their body either internally or externally. The biosensors which are about to be used in this project are EEG sensor (electro encephalogram sensor). An ECG sensor (electro cardiogram sensor) which is very essential for a critical patient, this project also emphasizes on the extended design of a special type of sensor called the oxygen insensitive microscale biosensor which helps in the monitoring of constant oxygen supply in blood thereby detecting blood cancer at the earliest stage. The data from all the sensors are sent to a central wireless node through wifi. From the main node the data is sent to the control station of the hospital through zigbee as the coverage area of certain hospitals is more than the coverage area of a Bluetooth. The control station segregates the data of different patients and stores in the memory location. If any of the patient data exceeds the standard data fed to the control station by the doctor then a message will be sent to the mobile of the attendee and the doctor using the GSM control system.Keywords: Biosensors, Raspberry pi (controller), GSM, Zigbee 
Volume: 5
Issue: 2
Page: 86-88
Publish at: 2016-08-01

Prediction of the Next Question for the Question Answering System

10.11591/ijict.v5i2.pp51-59
Manvi Breja
User profiling, one of the main issue faced while implementing the efficient question answering system, in which the user profile is made, containing the data posed by the user, capturing their domain of interest. The paper presents the method of predicting the next related questions to the first initial question provided by the user to the question answering search engine. A novel approach of the association rule mining is highlighted in which the information is extracted from the log of the previously submitted questions to the question answering search engine, using algorithms for mining association rules and predicts the set of next questions that the user will provide to the system in the next session. Using this approach, the question answering system keeps the relevant answers of the next questions in the repository for providing a speedy response to the user and thus increasing the efficiency of the system.
Volume: 5
Issue: 2
Page: 51-59
Publish at: 2016-08-01

A Innovation Identification Approach of Control System by Irrational (Fractional) Transfer

10.11591/ijeecs.v3.i2.pp336-342
Nguyen Quang Dung , Tran Hoang Quang Minh
In this paper, an innovative algorithm of identification of control system, described by irrational transfer function with distributed parameter characteristics - with irrational components, is proposed. Algorithm is based on real interpolation method (RIM). Parameters of irrational transfer function can be identified by its experimental transient responses. Each of them can be represented by an analytic expression, table or graph. The proposed method is computationally efficient, simple and practical, as is illustrated by numerical examples. In the furure, the method can be used for tuning the controller and for direct application construction of adaptive controllers, working on the identification principle.
Volume: 3
Issue: 2
Page: 336-342
Publish at: 2016-08-01

Dual-Band Proximity Coupled Feed Microstrip Patch Antenna with ‘T’ Slot on the Radiating Patch and ‘Dumbbell’ Shaped Defected Ground Structure

10.11591/ijeecs.v3.i2.pp435-440
Dawit Fitsum , Dilip Mali , Mohammed Ismail
This paper presents Dual-Band proximity coupled feed rectangular Microstrip patch antenna with slots on the radiating patch and Defected Ground Structure. Initially a simple proximity coupled feed rectangular Microstrip patch antenna resonating at 2.4 GHz is designed. Etching out a ‘Dumbbell’ shaped defect from the ground plane and ‘T’ shaped slot from the radiating patch of the proximity coupled feed rectangular Microstrip patch antenna, results in a Dual-Band operation, i.e., resonating at 2.4 GHz and 4.5 GHz; with 30.3 % and 18.8% reduction in the overall area of the patch and the ground plane of the reference antenna respectively. The proposed antenna resonates in S-band at frequency of 2.4 GHz with bandwidth of 123.6 MHz and C-band at frequency of 4.5 GHz with bandwidth of 200 MHz, and a very good return loss of -22.1818 dB and -19.0839 dB at resonant frequency of 2.4 GHz and 4.5 GHz respectively is obtained. The proposed antenna is useful for different wireless applications in the S-band and C-band.
Volume: 3
Issue: 2
Page: 435-440
Publish at: 2016-08-01

Motorcycle-Security using Position Searching Algorithm Based on Hybrid Fuzzy-Dijkstra

10.11591/ijeecs.v3.i2.pp468-474
Rofiq Mubarok , Dwi Verdy Firmansyah , Dheny Haryanto , Noor Pratama Apriyanto , Umniyatul Mahmudah , Iswanto Iswanto
Motorcycle safety system has been provided by the manufacturer in the form of a handlebar lock and electrical key equipped with alarms. Keys provided by the manufacturers sometimes fail in securing a motorcycle. In addition the safety system does not provide position information of the stolen motorcycle to the owner. With these problems, the paper presents safety locked motorcycle equipped with artificial intelligence algorithms. Artificial intelligence algorithm is used to find and detect the location of the motorcycle using the shortest path algorithm. This paper applies search algorithm using Dijkstra algorithm where the algorithm is used to make the decision to get the location of the motorcycle. By using the algorithm, the location of the motorcycle can be detected but it is not able to find the shortest path needed. Therefore, this paper describes the modification of Dijkstra algorithm by adding a Fuzzy algorithm that is used for the weight values in decision making, so that it can pursue to find the shortest path.
Volume: 3
Issue: 2
Page: 468-474
Publish at: 2016-08-01

Harmonic Elimination of Seven Level Inverter with Switching Pattern Reconfiguration Technique Using Hybrid BBO/MAS Algorithm

10.11591/ijape.v5.i2.pp79-86
R. Kavitha , Rani Thottungal , Brindha. R
A hybrid optimization algorithm is proposed in this paper to find the optimum switching angles in a Cascaded Multilevel Inverter (CMLI). A seven level cascaded inverter is considered and optimum switching angles are found by hybrid Biogeographical Based Optimization search (BBO) / Mesh Adaptive Direct Search (MAS) algorithm. The fundamental frequency Selective Harmonic Elimination-Pulse Width Modulation (SHE-PWM)  technique is applied in order to reduce the switching losses.Reconfiguration technique is also proposed to achieve harmonic elimination for entire  Modulation index(M). The various performance indices like phase THD, line THD, lower order harmonics eliminated in a CMLI are calculated based on the optimized switching angles. A seven level CMLI is simulated in MATLAB/SIMULINK by using switching angles calculated from BBO/MAS algorithm and the FFT analysis of traditional SHE-PWM and reconfiguration SHE-PWM methods are compared and verified with the calculated values from BBO/MAS algorithm.
Volume: 5
Issue: 2
Page: 79-86
Publish at: 2016-08-01
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