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Scheduling Workflow Applications with Makespan and Reliability Constraints

10.11591/ijeecs.v12.i2.pp482-488
Maslina Abdul Aziz , Jemal H. Abawajy , Morshed Chowdhury
In the last few years, workflows are becoming richer and more complex. Workflow scheduling management system to be robust, flexible with multicriteria scheduling algorithms. It needs to satisfy the Quality of Service (QoS) parameters. However, QoS parameters and workflow system objectives are often contradictory. In our analysis, we derived an efficient strategy to minimize the overall processing time for scheduling workflows modelled by using Directed Acyclic Graph (DAG). We studied the problem of workflow scheduling that lead to optimizing makespan and reliability. The proposed algorithm handles unsuccessful job execution or resource failure by dynamically scheduling workflows to available resources. Based on the experiments results, our proposed Failure-Aware Workflow Scheduling (FAWS) Algorithm can significantly optimize the makespan and minimize the reliability by rescheduling the failed task to the unused resources. The effectiveness of the FAWS algorithm was validated based on a simulation-driven analysis based on the workflow application.
Volume: 12
Issue: 2
Page: 482-488
Publish at: 2018-11-01

Object Recognition Inspiring HVS

10.11591/ijeecs.v12.i2.pp783-793
Mohammadesmaeil Akbarpour , Nasser Mehrshad , Seyyed-Mohammad Razavi
Human recognize objects in complex natural images very fast within a fraction of a second. Many computational object recognition models inspired from this powerful ability of human. The Human Visual System (HVS) recognizes object in several processing layers which we know them as hierarchically model. Due to amazing complexity of HVS and the connections in visual pathway, computational modeling of HVS directly from its physiology is not possible. So it considered as a some blocks and each block modeled separately. One models inspiring of HVS is HMAX which its main problem is selecting patches in random way. As HMAX is a hierarchical model, HMAX can enhanced with enhancing each layer separately. In this paper instead of random patch extraction, Desirable Patches for HMAX (DPHMAX) will extracted.  HVS for extracting patch first selected patches with more information. For simulating this block patches with more variance will be selected. Then HVS will chose patches with more similarity in a class. For simulating this block one algorithm is used. For evaluating proposed method, Caltech 5 and Caltech101 datasets are used. Results show that the proposed method (DPMAX) provides a significant performance over HMAX and other models with the same framework.
Volume: 12
Issue: 2
Page: 783-793
Publish at: 2018-11-01

Brain Developmental Disorders’ Modelling based on Preschoolers Neuro-Physiological Profiling

10.11591/ijeecs.v12.i2.pp542-547
Abdul Wahab , Norhaslinda Kamaruddin
Frequently misunderstood by their teachers as being low performers, children with learning disabilities (LDs) such as dyslexia, ADHD, and Asperger’s Syndrome develop low self-confidence and poor self-esteem that may lead to the risk of developing psychological and emotional problems. On contrary, research has shown that a substantial number of these children are capable of learning, and hence, are high-functioning. Therefore, there is a need to provide for the early detection of LDs and instruction that focuses on their needs based on their profiles. Profiling is normally done through observations on the psychological manifestations of LDs by parents and teachers as third-party observers. The first party experience, which is reflected through brain manifestations, is often overlooked. Hence the aim of this paper is to present an alternative solution to profile young children with LDs using electroencephalogram (EEG) that capture brain signals to measure brain functionalities and correlate them with the different LDs. Studies on neurophysiological signals and their relationship to LDs are used to develop Computational Neuro-Physiological (CN-P) model to be an alternative in quantifying the children brain activation function related to learning experience. It is envisaged that such model can profile children with learning disabilities to provide effective intervention in timely manner which can help teachers to provide differentiated instruction for children with LDs. This is in line with the thrust of the Education National Key Result Area (NKRA), the Malaysia Education Blueprint 2013-2025, and the Special Education Regulations 2013.
Volume: 12
Issue: 2
Page: 542-547
Publish at: 2018-11-01

Evaluation of CNN, Alexnet and GoogleNet for Fruit Recognition

10.11591/ijeecs.v12.i2.pp468-475
Nur Azida Muhammad , Amelina Ab Nasir , Zaidah Ibrahim , Nurbaity Sabri
Fruit recognition is useful for automatic fruit harvesting. Fruit recognition application can reduce or minimize human intervention during fruit harvesting operation. However, in computer vision, fruit recognition is very challenging because of similar shapes, colors and textures among various fruits. Illuminations changes due to weather condition also leads to a challenging task for fruit recognition. Thus, this paper tends to investigate the performance of basic Convolutional Neural Network (CNN), Alexnet and Googlenet in recognizing nine different types of fruits from a publicly available dataset.  The experimental results indicate that all these techniques produce excellent recognition accuracy, but basic CNN achieves the fastest recognition result compared with Alexnet and Googlenet.
Volume: 12
Issue: 2
Page: 468-475
Publish at: 2018-11-01

Monitoring of PV Performance Using LabVIEW

10.11591/ijeecs.v12.i2.pp461-467
Siti Amely Jumaat , Ammar Syahmi Bin Mohd Anuar , Mohd Noor Abdullah , Nur Hanis Radzi , Rohaiza Hamdan , Suriana Salimin , Muhammad Nafis bin Ismail
This project aims to design a simulator for PV monitoring using LabVIEW. This project will be divided into two parts ; software where LabVIEW and Arduino IDE been contracted and hardware parts. First part involves the software development. In this project, LabVIEW program is used as the main program to monitor the output of solar panel; voltage, current, power and temperature in real time. Next, the Arduino IDE program is used to interact the sensors with the Arduino board. The Arduino Uno microcontroller board is used as data acquisition medium to collect data from the solar panel. Second, the hardware part which is PV panel setup and measurement circuit that consist of sensors and Arduino board so that the sensors data will transfer and display to the PC connected. In this simulator, the sensors are connected to the Analog I/O of Arduino Uno microcontroller which read the analogue input of sensors. The Arduino then is connected to the PC program LabVIEW to display the I-V graph and P-V graph. To make the data more significant, the data will be collected at the location 1.8635° N, 103.1089 ° E which is in Parit Raja, Batu Pahat, Johor. The data was collected with 3 different day and time; 12PM, 1PM and 2PM on 28/11/2017, 29/11/2017 and 30/11/2017.
Volume: 12
Issue: 2
Page: 461-467
Publish at: 2018-11-01

J-slot EBG structure for SAR Reduction of Dual Band J-slot Textile Antenna

10.11591/ijeecs.v12.i2.pp794-802
Ramesh Manikonda , Rajyalakshmi Valluri , Mallikarjuna Rao Prudhivi
In this article, the dual band is achieved with J-slot on rectangular Textile antenna on Jeans fabric as substrate. It resonates at the 2.4 GHz and 5.4 GHz of Wireless Body Area Network (WBAN) bands. The novel J-slot Electromagnetic Band Gap (EBG) array consists of 2x2 elements. It is used as superstrate of J-slot textile antenna for Specific Absorption Rate (SAR) reduction and gain enhancement. The Reflection coefficient and VSWR of dual band textile antenna are simulated and measured with and without human body.
Volume: 12
Issue: 2
Page: 794-802
Publish at: 2018-11-01

Insulation Properties of PMMA:TiO2 Nanodielectric Film for High Voltage Applications

10.11591/ijeecs.v12.i2.pp527-534
Melvin Welan Mathew , Lyly Nyl Ismail , Norsabrina Sihab , Ahmad Asri Abd Samad , Nur Ashida Salim
This research investigates the insulation properties of poly methyl methacrylate with titanium dioxide (PMMA:TiO2) nanodielectric film to be used as insulation layer in high voltage (HV) applications. AC and DC breakdown test has been conducted to investigate the insulation properties of PMMA:TiO2 nanodielectric to be used as solid insulation in HV. In this research, the PMMA:TiO2 nanodielectric film were prepared by varying the annealing temperature (60°C up to 180°C) and spin coating techniques wwere used to form the PMMA:TiO2 nanocomposite film. The insulation properties of the nanocomposite film were characterized using high voltage test (DC and AC breakdown strength) to identify which nanocompoiste film has the good insulation properties. In addition, different types of electrodes are also used to to measure the insulation properties of nanocompoiste film. The structural properties of PMMA:TiO2 nanocomposite films were characterized using atomic force microscopy (AFM). Results from HV test shows that the annealing temperature affected the insulation properties PMMA:TiO2 nanocomposite film. By increasing the annealing temperature, the insulation properties decreased. Film anneal at 120 oC has the good insulation compare to other temperature. 120 oC are the optimize temperature to prepared the PMMA:TiO2 nanocomposite films. Result from different types of electrodes show that sharp tip has high DC breakdown strength compare to spherical electrodes.
Volume: 12
Issue: 2
Page: 527-534
Publish at: 2018-11-01

Analytical Review on Graphical Formats Used in Image Steganographic Compression

10.11591/ijeecs.v12.i2.pp441-446
Roshidi Din , Osman Ghazali , Alaa Jabbar Qasim
This paper reviews the method of classification of the types of images used in data concealment based on the perspective of the researcher’s efforts in the past decade. Therefore, all papers were analyzed and classified according to time periods. The main objective of the study is to infer the best types of images that researchers have discussed and used, several reasons will be shown in this study, which started from 2006 to 2017, through this paper the pros and the cons in the use of favourite types in the concealment of data through previous studies.
Volume: 12
Issue: 2
Page: 441-446
Publish at: 2018-11-01

Neural Network Prediction for Efficient Waste Management in Malaysia

10.11591/ijeecs.v12.i2.pp738-747
Siti Hajar Yusoff , Ummi Nur Kamilah Abdullah Din , Hasmah Mansor , Nur Shahida Midi , Syasya Azra Zaini
Maintaining current municipal solid waste management (MSWM) for the next ten years would not be efficient anymore as it has brought many environmental issues such as air pollution. This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on population growth factor. This study uses Malaysian population as sample size and the data for weight is acquired via authorized Malaysia statistics’ websites. All data will be normalized in the pre-processing stage before proceeding to the prediction using Visual Gene Developer. This project evaluated the performance using R2 value. Two hidden layers with ten and five nodes were used respectively. The result portrayed that there will be an increase of 29.03 percent of SWG in year 2031 compared to 2012. The limitation to this study is that the data was not based on real time as it was restricted by the government.
Volume: 12
Issue: 2
Page: 738-747
Publish at: 2018-11-01

On the Use of Edge Features and Exponential Decaying Number of Nodes in the Hidden Layers for Handwritten Signature Recognition

10.11591/ijeecs.v12.i2.pp722-728
Teddy Surya Gunawan , Mira Kartiwi
Handwritten signatures are playing an important role in finance, banking and education and more because it is considered the “seal of approval” and remains the most preferred means of authentication. In this paper, an offline handwritten signature authentication algorithm is proposed using the edge features and deep feedforward neural network (DFNN). The number of hidden layers in DFNN is configured to be at least one layer and more. In this paper, an exponential decaying number of nodes in the hidden layers was proposed to achieve better recognition rate with reasonable training time. Of the six edge algorithms evaluated, Roberts operator and Canny edge detectors were found to produce better recognition rate. Results showed that the proposed exponential decaying number of nodes in the hidden layers outperform other structure. However, more training data was required so that the proposed DFNN structure could have more efficient learning.
Volume: 12
Issue: 2
Page: 722-728
Publish at: 2018-11-01

Optimal Voltage Stability Improvement under Contingencies using Flower Pollination Algorithm and Thyristor Controlled Series Capacitor

10.11591/ijeecs.v12.i2.pp497-504
Zulkiffli Abdul Hamid , Ismail Musirin , Muhammad Amirul Adli Nan , Zulkifli Othman
Recent power systems necessitate for maintaining a safe voltage stability as the number of problems such as contingencies and reactive power insufficiency are increasing. In this paper, installation and sizing of Flexible Alternating Current Transmission System (FACTS) devices have been introduced for solving the voltage stability problems under contingencies. The FACTS device to be used is Thyristor Controlled Series Capacitor (TCSC). Besides improving the voltage magnitude at all buses to a desired level, installation of TCSC at proper locations can minimize total transmission losses of the system. To conduct the sizing task, the newly developed Flower Pollination Algorithm (FPA) has been implemented as the engine for optimization. Through experimentation, the results proved that the proposed placement and sizing technique has successfully mitigated the voltage stability problems. In addition, the computation time for FPA’s convergence was tolerable with optimum results.
Volume: 12
Issue: 2
Page: 497-504
Publish at: 2018-11-01

Concealment of Files Blocked by Gmail with EOF-Based Image Steganography

10.11591/ijeecs.v12.i2.pp716-721
Ichsan Taufik , Undang Syaripudin , Faiz M. Kaffah , Jaka Giri Sobirin , Nanang Ismail , Teddy Surya Gunawan
Nowadays, due to security concern, not all the process of sending files via email runs smoothly. There are several types of file extensions that are blocked when sent via email. For examples, there are several file extensions blocked by Gmail. This paper discusses steganographic implementation using End of File (EOF) algorithm to insert special file into image cover file with JPG and PNG format so that files with these extensions can be sent via email. Before a special extension file is inserted into the cover file, a compression process should be conducted first to make the file size smaller. The proposed algorithm is implemented on Visual Basic.Net software. Based on the tests performed, the application can insert Gmail-blocked file system to the image cover file, without changing the physical bit of the image cover file or file system that inserted with 100% success rate. The stego-image file is also successfully sent via email without being blocked.
Volume: 12
Issue: 2
Page: 716-721
Publish at: 2018-11-01

Temperature Based Control of Ventilation System for Optimum Climate in Tomato Greenhouse

10.11591/ijeecs.v12.i2.pp655-661
NY Dahlan , Aminuddin Idham Halid , T. Juhana Hashim , SZ Sakimin
Tomato has been grown successfully in highlands of Malaysia. However, the production does not meet the demand in the large market due to problem related to climate change and lack of smart control mechanism for the tomato crop to grow healthily in the micro climate. Tomato requires optimum temperature to ensure a good quality fruit production especially under greenhouse system environment. This paper presents an optimum control mechanism for ventilation system in a greenhouse to minimize the energy consumption and meet the temperature requirement for lowland tomato. The control mechanism is tested on a tomato greenhouse system located in Universiti Putra Malaysia (UPM), Serdang. The ventilation system in the greenhouse comprises of six exhaust fans and two axial fans. Results show that the proposed control mechanism on the ventilation system is able to maintain the desired temperature for lowland tomato at lower energy consumption. With the automatic control of the ventilation system, an average of 65.8% of energy consumption was saved from the greenhouse as compared to baseline energy without the control system.
Volume: 12
Issue: 2
Page: 655-661
Publish at: 2018-11-01

Analysis of Different M-Band Wavelet Filters for Face Recognition using Nearest Neighbor Classifier

10.11591/ijeecs.v12.i2.pp824-831
C Hemalatha , E Logashanmugam
Face recognition system is one of the most interesting studied topics in computer vision for past two decades. Among the other popular biometrics such as the retina, fingerprint, and iris recognition systems, the face recognition is capable of recognizing the uncooperative samples in a non-intrusive manner. Also, it can be applied to many applications of surveillance security, forensics, border control, digital entertainment where face recognition is used in most. In the proposed system an automatic face recognition system is discussed. The proposed recognition system is based on the Dual-Tree M-Band Wavelet Transform (DTMBWT) transform algorithm and features obtained by varying the different filter in the DTMBWT transform. Then the different filter features are classified by means of the K-Nearest Neighbor (KNN) classifier for recognizing the face correctly. The implementation of the system is done by using the ORL face image database, and the performance metrics are calculated.
Volume: 12
Issue: 2
Page: 824-831
Publish at: 2018-11-01

Ambient Task With Stimulus-Response Compatibility Concept for Guiding Alzheimer’s Actions

10.11591/ijeecs.v12.i2.pp548-555
N. W. Basharudin , Ku Azir K.N.F , P. Ehkan , A. M. Khairuddin
Alzheimer is one of the diseases that can cause the patient to act in different and unpredictable ways. This disease destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. Advanced in technology actually can help them be more independent doing their routines. Hence, this study was conducted to investigate the relationship between stimulus-response compatibility (SRC) and ambient intelligent elements for Alzheimer’s patients. The aim of this study is to obtain a strong answer on how ambient elements (stimulus) such as ambient colours, lights and pictures can assist Alzheimer’ patients in daily living activities. For this reason, we developed a flashcard game based on ambient colours and pictures to achieve two objectives which are (i) to test the ambient’s factors that highly effect the responses of Alzheimer’s patients and (ii) to observe the response towards the given instructions. This experiment has been tested to 10 participants with mild-stage of Alzheimer’s disease. The findings of this experiment show that the patient response more towards ambient colours compared to the ambient pictures. 90% of respondents capable to complete the task correctly and quickly based on ambient colours. In addition, the experiment proved that the participants have no difficulty in order to understand the instructions given to them for completing the tasks smoothly.
Volume: 12
Issue: 2
Page: 548-555
Publish at: 2018-11-01
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