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29,905 Article Results

DC-AC power inverter controlled analogically with zero hysteresis

10.11591/ijece.v9i6.pp4767-4776
Fredy E. Hoyos Velasco , Carlos I. Hoyos Velasco , John E. Candelo-Becerra
This paper presents the design and experimental validation of a DC-AC power inverter, controlled analogically with zero hysteresis. A control circuit was built using analog electronics components, and optocoupler devices are used to couple the control module with the power stage. The design of DC-AC inverter with electronics circuit and implementation are shown in detail.  Experimental results show the effectiveness of control technique and implementation, leading to a robust system concerning load disturbances. The developed inverter offers the possibility of generating regulated output voltages of different signal types, both DC and AC, variable in frequency and in amplitude, useful for feeding a load with various AC signals.
Volume: 9
Issue: 6
Page: 4767-4776
Publish at: 2019-12-01

Design and implementation of smart farming system for fig using connected-argonomics

10.11591/ijece.v9i6.pp5653-5662
N. Zainal , N. Mohamood , M. F. Norman , D. Sanmutham
This paper proposes a design and implementation approach of smart farming system using connected-agronomics technique for fig farm application. Nowadays, fig plants having a rapid growth in the current market demand due to its rich in natural health benefiting nutrients, antioxidants and vitamins where some farming systems have been used  in maintaining fig plant’s environmental resources to grow without fail. Smart farming is a system applied to provide user with real time information and plan for desired plant such as time intervals for watering systems. There are two major problems on maintaining the fig fruit quality; watering system fail during emergency blackout and a contagious disease known as leaf rust due to external environments. The system implements two microcontrollers, the Arduino Uno & Raspberry Pi along with smartphone Android application. The system performance is evaluated based on the requirement specification, irrigation soil, surrounding temperature and moisture. It is found that all data collected by the sensors are within the optimal range of values, which are 1500 µS/cm to 1599 µS/cm for the EC reading of the fertilizer while 6.0 to 6.5 for the pH value of the soil. This prototype of smart farming was well developed and can be applied to the fig plantation environment.
Volume: 9
Issue: 6
Page: 5653-5662
Publish at: 2019-12-01

Hybrid swarm and GA based approach for software test case selection

10.11591/ijece.v9i6.pp4898-4903
Palak Palak , Preeti Gulia
Being a crucial step and deciding factor for software reliability, software testing has evolved a long way and always attracted researchers due to various inherent challenges. The quality of a software application depends on the effectiveness of the testing carried out during development and maintenance phase. Testing is a crucial but time consuming activity that influences the overall cost of software development. Thus a minimal but efficient test suite selection is the need of the hour. This paper presents a hybrid technique based on swarm based search technique and GA (Genetic Algorithm) for selection of promising test cases to reduce the overall development cost and time of the application. We took component based software into consideration as they offer some inherent advantages over traditional software development paradigms.
Volume: 9
Issue: 6
Page: 4898-4903
Publish at: 2019-12-01

The effectiveness of the leadership transformation programme among off-campus students

10.11591/ijere.v8i4.20309
Rohana Hamzah , Nurul Ain Fatehah Baharuddin , Wan Jumani Fauzi , Muhamad Afzamiman Aripin
The social issues involving off-campus students are quite serious as these students are more susceptible to negative influences such as friends and the surrounding environment. Results from the preliminary study showed that there were four major problems which are relationship with the Creator, self-management, social relationship with housemates, as well as housekeeping management and upkeep. Therefore, an intervention programme named Transformation Leadership Programme for Off-Campus Students was designed. The study aimed to examine the effectiveness of the leadership transformation programme among off-campus student. The effectiveness of the intervention programme reported in this study is based only on pre- and post-tests from quantitative data collected from 30 respondents. The results show that there is no significant difference for the variable, ‘respondents’ belief in the Creator’ although the mean value increased in the post-test. Apart from that, the findings also show significant improvements in the other three variables assessed, (i.e., relationship with the Creator, self-management, social relationship with their housemates and housekeeping management and upkeep). Data also show that there was also positive impact on off-campus students’ academic achievement due to the decrease in the number of respondents with CGPA below 2.5. Therefore, this means the programme is successful in helping off-campus students to understand and make a connection between the value of belief in the Creator (spiritual intelligence) with the exercise of social responsibility as a leader to oneself, others and housekeeping management and upkeep.
Volume: 8
Issue: 4
Page: 726-734
Publish at: 2019-12-01

Dual iris authentication system using dezert smarandache theory

10.11591/ijece.v9i6.pp4703-4712
Kamel Ghanem Ghalem , Fatiha Hendel
In this paper, a dual iris authentication using Dezert Smarandache theory is presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. For that, a Hough transform is used. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J. Daugman to generate the binary iris template. For the authentication and the similarity measurement between both binary irises templates, the hamming distances are used with a previously calculated threshold. The score fusion is applied using DSmC combination rule. The proposed method has been tested on a subset of iris database CASIA-IrisV3-Interval. The obtained results give a satisfactory performance with accuracy of 99.96%, FAR of 0%, FRR of 3.89%, EER of 2% and processing time for one iris image of 12.36 s.
Volume: 9
Issue: 6
Page: 4703-4712
Publish at: 2019-12-01

Inventory prediction and management in Nigeria using market basket analysis associative rule mining: memetic algorithm based approach

10.11591/ijict.v8i3.pp128-138
Arnold Adimabua Ojugo , Andrew Okonji Eboka
A key challenge in businesses today is determining inventory level for each product (to be) sold to clients. A pre-knowledge will suppress inventory stock-up and help avert unnecessary demurrage. It will also avoid stock out and avert loss of clients to competition. Study aims to unveil customer’s behavior in purchasing goods and thus, predict a next time purchase as well as serve as decision support to determine the required amount of each goods inventory. Study is conducted for Delta Mall (Asaba and Warri branches) department store. We adapt the memetic algorithm on market basket dataset to examine buying behavior of customers, their preference and frequency at which goods are purchased in common (basket). Result shows some items placed in basket allow customers to purchase items of similar value, or best combined with the selected items due to shelf-placement via concept of feature drift. Model yields 21-rules for eight items obtained from data transaction mining dataset acquired from Delta Mall.
Volume: 8
Issue: 3
Page: 128-138
Publish at: 2019-12-01

Backstepping based power control of a three-phase Single-stage Grid-connected PV system

10.11591/ijece.v9i6.pp4738-4748
Mohammed El malah , Abdellfattah Ba-razzouk , M’hammed Guisser , Elhassane Abdelmounim , Mhamed Madark
In order to reduce costs while maintaining superior performance, this paper presents a new control methodology of a three-phase grid connected photovoltaic system without using the intermediary DC/DC converter. Based on the synchronized nonlinear model of the whole photovoltaic system, two controllers have been proposed for the three-phase inverter in order to ensure the operation of the PV system at the maximum power point with unity power factor and minimum grid disturbance. Grid synchronization has been ensured by a three-phase 2nd order PLL (Phase-Locked Loop). The stability of each controller is demonstrated by means of Lyapunov analysis and evaluated under changing atmospheric conditions using the Matlab/Simulink environment, the simulation results clearly demonstrate the performance provided by each controller.
Volume: 9
Issue: 6
Page: 4738-4748
Publish at: 2019-12-01

Advanced control structures for induction motors with ideal current loop response using field oriented control

10.11591/ijpeds.v10.i4.pp1758-1771
Vo Thanh Ha , Nguyen Tung Lam , Vo Thu Ha , Vo Quang Vinh
Field oriented control (FOC) is widely used for high performance induction motor (IM) electrical drive systems. Typically, FOC uses linear controls and space vector modulation (SVM) to control the fundamental components of the stator voltages. This work shows that based on a fast and precise inner current loop response one may flexibly employ different advanced control methods, to achieve high performance outer loops (speed and flux control). In this paper, novel approaches based on dead-beat scheme for the current loop combining with exact linearization, backstepping controls, and fatness-based methods for the outer loop are proposed. By comparing with classical PI control, the proposed method shows the outstanding features of system response such as fast, accurate and decoupling properties. The performance evaluation is given by experimental results.
Volume: 10
Issue: 4
Page: 1758-1771
Publish at: 2019-12-01

Classification neutral to ground (NG) voltage using levenberg-marquardt neural network (LMNN)

10.11591/ijeecs.v16.i3.pp1189-1195
Suzaryfazli Kamaruddin , Ahmad Farid Abidin , Mohd Abdul Talib Mat Yusoh
In electrical systems nowadays, power quality issues have become a major concern for customers and electrical utilities. The high Neutral to ground (NG) voltage are one of the power quality issues which could cause adverse effect such as malfunction the devices, neutral overheating and electricity shock. Thus, the high NG voltage should be classified in order to perform the mitigation work accurately. This paper presents the classification of neutral to ground voltage using Levenberg-Marquardt Neural Network (LMNN) technique. The Discrete Wavelet Transform (DWT) is applied in this method to extract the features of NG voltage which needed in classification process.  The result shows the LMNN perform accurately in classify the types of NG voltage, where its accuracy result is reach more than 90% accuracy.
Volume: 16
Issue: 3
Page: 1189-1195
Publish at: 2019-12-01

On the classification of arrhythmia using supplementary features from Tetrolet transforms

10.11591/ijece.v9i6.pp5006-5015
G. Jayagopi , S. Pushpa
Heart diseases had been molded as potential threats to human lives, especially to elderly people in recent days due to the dynamically varying food habits among the people. However, these diseases could be easily caught by proper analysis of Electrocardiogram (ECG) signals acquired from individuals. This paper proposes a better method to detect and classify the arrhythmia using 15 features which include 4 R-R interval features, 3 statistical and 6 chaotic features estimated from ECG signals. Additionally, Entropy and Energy features had been gained after converting one dimensional ECG signals to two dimensional data and applied Tetrolet transforms on that.  Total numbers of 15 features had been utilized to classify the heart beats from the benchmark MIT-Arrhythmia database using Support Vector Machines (SVM). The classification performance was analyzed under various kernel functions and different Tetrolet decomposition levels. It is found that Radial Basis Function (RBF) kernel could perform better than linear and polynomial kernels. This research attempt yielded an accuracy of 99.35 % against the existing works. Moreover, addition of two more features had introduced a negligible overhead of time. Hence, this method is better suitable to detect and classify the Arrhythmia in both online and offline.
Volume: 9
Issue: 6
Page: 5006-5015
Publish at: 2019-12-01

Novelty circular neighboring technique using reactive fault tolerance method

10.11591/ijece.v9i6.pp5211-5217
Ahmad Shukri Mohd Noor , Nur Farhah Mat Zian , Noor Hafhizah Abd Rahim , Rabiei Mamat , Wan Nur Amira Wan Azman
The availability of the data in a distributed system can be increase by implementing fault tolerance mechanism in the system. Reactive method in fault tolerance mechanism deals with restarting the failed services, placing redundant copies of data in multiple nodes across network, in other words data replication and migrating the data for recovery. Even if the idea of data replication is solid, the challenge is to choose the right replication technique that able to provide better data availability as well as consistency that involves read and write operations on the redundant copies. Circular Neighboring Replication (CNR) technique exploits neighboring policy in replicating the data items in the system performs well with regards to lower copies needed to maintain the system availability at the highest. In a performance analysis with existing techniques, results show that CNR improves system availability by average 37% by offering only two replicas needed to maintain data availability and consistency. The study demonstrates the possibility of the proposed technique and the potential of deploying in larger and complex environment.
Volume: 9
Issue: 6
Page: 5211-5217
Publish at: 2019-12-01

English for specific technical and engineering academic purposes: An analysis on ESL practitioners’ challenges

10.11591/ijere.v8i4.20300
Nor Yazi Khamis , Azwin Arif Abdul Rahim , Supyan Hussin
The facilitation of English for Specific Engineering Academic Purposes approach at Malaysian technical and engineering tertiary institutions is an effort to revitalise the pedagogical methods of ESL learning and communication skills at the institutions. A close examination on the ESL practitioners’ context has indicated a critical gap between the diversified requirements of skills and sound pedagogical models to determine the practitioners’ quality. In understanding the necessity of the approach, this study aims to explore and investigate the challenges faced by the practitioners in facilitating the approach. The study comprised data gathered from semi structured interviews of 14 ESL experts and an online survey on 42 ESL practitioners in technical and engineering fields. Interview questions for the experts were developed to find out about the challenges and competencies to overcome the hurdles. A self-assessed instrument with a five-Likert scale of importance on the competencies was used to gauge the practitioners’ view onn the approach. Frequencies and percentages, and Braun and Clarke’s (2006) six-stage method of thematic analysis were used to analyse the data. Findings from the both inquiries revealed several challenges which led to the necessity of wider knowledge and understanding of the approach and the prevalent of specific competencies for the practitioners in overcoming the challenges. The practitioners’ competency was substantially indispensable because it could affect their learners’ interest in learning the skills as well as in understanding the content subject.quality agencies to review and specify the requirement and guideline for ESL practitioners specifically those at technical and engineering tertiary institutions.
Volume: 8
Issue: 4
Page: 699-704
Publish at: 2019-12-01

Implementation of voyage data recording device using a digital forensics-based hash algorithm

10.11591/ijece.v9i6.pp5412-5419
Ki-Taek Seong , Gwan-Hyung Kim
Identifying the causes of marine accidents is difficult because of problems in scene preservation, reenactment, and procuring of witnesses. Thanks to new regulations, larger vessels are now required to carry voyage data recorders (VDRs) and automatic identification systems (AISs). However, the content of these devices, which is created, stored, and managed digitally, has security vulnerabilities such as the potential for data modification. Therefore, when managing digital records it is important to guarantee reliability. To this end, we suggest a digital forensics-based digital records migration method using a hash algorithm to guarantee the integrity and authenticity of digital records.
Volume: 9
Issue: 6
Page: 5412-5419
Publish at: 2019-12-01

Transformer based NPC multilevel inverter using reduced number of components

10.11591/ijece.v9i6.pp5150-5158
R. Palanisamy , K. Selvakumar , K. Vijayakumar , D. Karthikeyan , S. Vidyasagar , V. Kalyanasundaram
This paper revolves around the reduction of a number of switches and the sources for a multilevel inverter, for this, we have proposed a transformer-based topology which has helped us in reducing the number of switches from twenty-four to sixteen and also in the reduction of sources from eight to one. The circuit consists of two H-Bridges which are coupled by a single-phase transformer, the topology gives us a liberty of changing the number of levels in accordance to the number of turns in the secondary side of the transformer for example if our ratio is 1:1 the number of levels will be five subsequently if it is changed to 1:2 the number of levels will be changed to seven. As the number of switches is reduced the size and complexity of the circuit is also decreased. In order to improve on the part of switching efficiency, we have used space vector pulse width modulation which is a better method as compared to its counterpart switching methods such as sinusoidal pulse width modulation and multiple pulse width modulation techniques.
Volume: 9
Issue: 6
Page: 5150-5158
Publish at: 2019-12-01

Multi-dimensional parametric assessment with IoT in acquaintance of digital pipeline

10.11591/ijece.v9i6.pp4649-4656
N. Suresh Kumar , Mallikharjuna Rao K , Mahesh Kothuru , Y. Narasimha Rao
In IoT researches are found millions of devices are connected in global digital infrastructure framed in network fashion. Most of the things on the network use cloud or central database to share their data and control signals to control and manage the devices on the IoT network. Devices on the network need fast traversing paths, to take correct decision in right time. The data synchronization between source and destination is very important in real time parameter maintenance. The multidimensional parametric evaluation of the environment or the surrounding area is facing problems with data synchronization and congestion in the sensor network. This will lead arrival of fault data at the destination. The fault data also leads a misconception at user end. In the present work pipeline integration is proposed to overcome the misconception and synchronization failures. The pipeline and Arduino UNO processor are integrated on Proteus simulation tool. Transducer nodes and the functionalities are analysed with pipeline.
Volume: 9
Issue: 6
Page: 4649-4656
Publish at: 2019-12-01
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