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29,922 Article Results

Double stages of feature extarction-based GFPMI for colored finger vein identification

10.11591/ijeecs.v18.i2.pp927-937
Dawlat Mustafa Sulaiman , Adnan Mohsin Abdulazeez , Habibollah Haron
Today, finger vein recognition has a lot of attention as a promising approach of biometric identification framework and still does not meet the challenges of the researchers on this filed. To solve this problem, we propose s double stage of feature extraction schemes based localized finger fine image detection. We propose Globalized Features Pattern Map Indication (GFPMI) to extract the globalized finger vein line features basede on using two generated vein image datasets: original gray level color, globalized finger vein line feature, original localized gray level image, and the colored localized finger vein images. Then, two kinds of features (gray scale and texture features) are extracted, which tell the structure information of the whole finger vein pattern in the whole dataset. The recurrent based residual neural network (RNN) is used to identify the finger vein images. The experimental show that the localized colored finger vein images based globalized feature extraction has achieved the higher accuracy (93.49%) while the original image dataset achieved less accuracy by (69.86%).
Volume: 18
Issue: 2
Page: 927-937
Publish at: 2020-05-01

Statistical accuracy analysis of different detecting algorithms for surveillance system in smart city

10.11591/ijeecs.v18.i2.pp979-986
Hassan Al-Yassin , Jaafar I. Mousa , Mohammed A. Fadhel , Omran Al-Shamma , Laith Alzubaidi
Several detecting algorithms are developed for real-time surveillance systems in the smart cities. The most popular algorithms due to its accuracy are: Temporal Differencing, Background Subtraction, and Gaussian Mixture Models. Selecting of which algorithm is the best to be used, based on accuracy, is a good choise, but is not the best. Statistical accuracy anlysis tests are required for achieving a confident decision. This paper presents further analysis of the accuracy by employing four parameters: false recognition, unrecognized, true recognition, and total fragmentation ratios. The results proof that no algorithm is selected as the perfect or suitable for all applications based on the total fragmentation ratio, whereas both false recognition ratio and unrecognized ratio parameters have a significant impact. The mlti-way Analysis of Variate (so-called K-way ANONVA) is used for proofing the results based on SPSS statistics.
Volume: 18
Issue: 2
Page: 979-986
Publish at: 2020-05-01

DC inline plane test of silicone rubber samples with different filler for high-voltage insulation

10.11591/ijeecs.v18.i2.pp607-613
Nurbahirah Norddin , Intan Mastura Saadon , Najwa Kamarudin , Norain Rahim , Jeefferie bin Abd Razak
This paper is about preparation of silicone rubber (SiR) samples with different filler for high-voltage insulation purpose. The fillers used were silica from waste glass, calcium carbonate from cockle shell, silica/calcium carbonate and wollastonite. All the fillers were crushed into powder and undergo internal mixer and hot press as a material preparation. It was expected that the combination of filler with silicone rubber would give better result when experiencing ageing process. The direct current (DC) inclined plane test was used to investigate the tracking and erosion on silicone rubber composites. The tracking length was observed between the top and bottom electrode. Comparison would then be made between the silicone rubbers with different fillers based on the result obtained from the experiment.
Volume: 18
Issue: 2
Page: 607-613
Publish at: 2020-05-01

Securing speech signals by watermarking binary images in the wavelet domain

10.11591/ijeecs.v18.i2.pp1096-1103
Rakan Saadallah Rashid , Jafar Ramadhan Mohammed
Digital watermarking is the process of embedding particular information into other signal data in such a way that the quality of the original data is maintained and secured. Watermarking can be performed on images, videos, texts, or audio to protect them from copyright violation. Among all of these types of watermarking, audio watermarking techniques are gaining more interest and becoming more challenging because the quality of such signals is highly affected by the watermarked code. This paper introduces some efficient approaches that have capability to maintain the signals’ quality and preserves the important features of the audio signals. Moreover, the proposed digital audio watermarking approaches are performed in the transform domain. These approaches are gaining more attention due to their robustness or resistance to the attackers. These transform domains include discrete cosine transform (DCT), short-term Fourier transform (STFT), and digital wavelet transform (DWT). Furthermore, the most digital wavelet transforms were found to be applicable for speech watermarking are the Haar and the Daubechies-4. 
Volume: 18
Issue: 2
Page: 1096-1103
Publish at: 2020-05-01

Development of robotic rover with controller & vision system

10.11591/ijeecs.v18.i2.pp766-773
Roshahliza M Ramli , Nurul Aqilah Herman , Muhammad Ridzuan Mazlan , Azlin Suraya Nazaruddin , Muhammad Arshad Tuah , Abdul Naqib Eizzaz Abd Samad , Kamal Othman , Yanti Marliana Esmail
Rover is a robotic system that integrates a simple system implementing electrical and mechanical components together. In this study, we propose a rover using mechanical components which consist of a robotic arm, joint and mechanical gripper, backbone chassis and continues track, while the electrical components include servo motor, servo controller, transmitter and receiver for vision system and wireless controller via USB host as its control system. The purpose of this project is for monitoring and safety purposes. In addition, the main goal of this project is to develop a simple robotic rover that is easy to build and manufacture as well as cost-effective. To add more functionality on this rover, it is equipped with a robotic arm and real-time view camera integration. This rover is equipped with a first-person view (FPV) camera, an integrated camera on the rover that can give clear visibility and direction to the rover pilot. The live feed can be viewed on the monitor inside the command station box. It can be used to assist safety authorities to collect information & insights, work lift to collect and remove the load and to conduct search and rescue operation. As for the result, the mobility system of the robotic rover at terrain surfaces and analyses the capabilities of the chassis during lifting load had been tested.
Volume: 18
Issue: 2
Page: 766-773
Publish at: 2020-05-01

Weighted inverse document frequency and vector space model for hadith search engine

10.11591/ijeecs.v18.i2.pp1004-1014
Septya Egho Pratama , Wahyudin Darmalaksana , Dian Sa'adillah Maylawati , Hamdan Sugilar , Teddy Mantoro , Muhammad Ali Ramdhani
Hadith is the second source of Islamic law after Qur’an which make many types and references of hadith need to be studied. However, there are not many Muslims know about it and many even have difficulties in studying hadiths. This study aims to build a hadith search engine from reliable source by utilizing Information Retrieval techniques. The structured representation of the text that used is Bag of Word (1-term) with the Weighted Inverse Document Frequency (WIDF) method to calculate the frequency of occurrence of each term before being converted in vector form with the Vector Space Model (VSM). Based on the experiment results using 380 texts of hadith, the recall value of WIDF and VSM is 96%, while precision value is just around 35.46%. This is because the structured representation for text that used is bag of words (1-gram) that can not maintain the meaning of text well).
Volume: 18
Issue: 2
Page: 1004-1014
Publish at: 2020-05-01

Analysis of rain fade slope for terrestrial links

10.11591/ijeecs.v18.i2.pp896-902
Jalel Chebil , Al-Hareth Zyoud , Mohamed Hadi Habaebi , Islam Md. Rafiqul , Hassan Dao
Rainfall can cause severe degradation to the operation of microwave links working with frequencies above 10 GHz. Many studies have investigated this problem, and one of the factors that attract the attention of researcher is rain fade slope which is the rate of change of rain attenuation. The focus of this study is on rain fade slope for terrestrial links and it is based on measurement conducted in Malaysia. This paper investigates the characteristics of the measured rain fade slope distribution for various attenuation levels. Then, the ITU-R model for rain fade slope is compared with the corresponding statistics obtained from the measured data. Significant discrepancies have been observed since the ITU-R prediction model does not fit the measured fade slope distribution for many attenuation levels. It is recommended to modify the expression of the standard deviation in the ITU-R model when implemented in tropical regions.
Volume: 18
Issue: 2
Page: 896-902
Publish at: 2020-05-01

Optimization model for QoS based task scheduling in cloud computing environment

10.11591/ijeecs.v18.i2.pp1081-1088
Sirisha Potluri , Katta Subba Rao
Shortest job first task scheduling algorithm allocates task based on the length of the task, i.e the task that will have small execution time will be scheduled first and the longer tasks will be executed later based on system availability. Min- Min algorithm will schedule short tasks parallel and long tasks will follow them. Short tasks will be executed until the system is free to schedule and execute longer tasks. Task Particle optimization model can be used for allocating the tasks in the network of cloud computing network by applying Quality of Service (QoS) to satisfy user’s needs. The tasks are categorized into different groups. Every one group contains the tasks with attributes (types of users and tasks, size and latency of the task). Once the task is allocated to a particular group, scheduler starts assigning these tasks to accessible services. The proposed optimization model includes Resource and load balancing Optimization, Non-linear objective function, Resource allocation model, Queuing Cost Model, Cloud cost estimation model and Task Particle optimization model for task scheduling in cloud computing environement. The main objectives identified are as follows. To propose an efficient task scheduling algorithm which maps the tasks to resources by using a dynamic load based distributed queue for dependent tasks so as to reduce cost, execution and tardiness time and to improve resource utilization and fault tolerance. To develop a multi-objective optimization based VM consolidation technique by considering the precedence of tasks, load balancing and fault tolerance and to aim for efficient resource allocation and performance of data center operations. To achieve a better migration performance model to efficiently model the requirements of memory, networking and task scheduling. To propose a QoS based resource allocation model using fitness function to optimize execution cost, execution time, energy consumption and task rejection ratio and to increase the throughput. QoS parameters such as reliability, availability, degree of imbalance, performance and SLA violation and response time for cloud services can be used to deliver better cloud services.
Volume: 18
Issue: 2
Page: 1081-1088
Publish at: 2020-05-01

DWDM over FSO under the effect of different atmospheric attenuations

10.11591/ijeecs.v18.i2.pp1089-1095
Heyam Maraha , Kameran Ali Ameen , Ozlam Abdulhakeem Mahmood , Aras Aldawoodi
In optical networks, Dense wavelength division multiplexing (DWDM) has been considered as a promising technique to meet the increasing bandwidth demands. It has been used to increase the capacity of long-haul optical transport systems such as free-space optics (FSO) and optical fiber. However, by applying DWDM over the FSO link, different challenges affect the performance system such as clear air, haze and rain atmospheric attenuations. This paper investigates eleven-channel DWDM over FSO based on the electrical linear equalizer that will improve the performance results at the receiver. The channels operate over (1561.42 nm, 1559.79 nm, 1558.17 nm, 1558.55 nm, 1554.94 nm, 1553.33 nm, 1551.72 nm, 1550.12 nm, 1548.51 nm, 1546.92 and 1545.32 nm) wavelengths that have separated based on the traditional International Telecommunication Union (ITU) grid. In the experiments, the system transmits 110 Gbit/s for FSO distances 9500 m, 3000 m, and 2500 m in superbly clear air, haze, and heavy haze atmospheric attenuations, respectively. Over different atmospheric attenuations, we evaluated our system performance using BER, eye diagram and the quality factor (Q-Factor). 
Volume: 18
Issue: 2
Page: 1089-1095
Publish at: 2020-05-01

Two-level hiding an encrypted image

10.11591/ijeecs.v18.i2.pp961-969
Faten H. MohammedSediq Al-Kadei
Encryption and hiding images are becoming a hot research area and a broad prospect for application. This article uses a secure algorithm with Low Significant Bit method to hide an encrypted high-resolution color bitmap image in two selectively color images (i.e., two cover images). The paper introduces a two-level hiding encrypted image using MATLAB-GUI programming language. In the beginning, with a key image using XOR bit operation, the original RGB image is encrypted. After that, the encrypted image is hidden into the first cover image. The cover image is then hidden into another cover to make the secret image safer without changing the perceptual quality for both covers. Then, the algorithm is tested on many bitmap images, which can be an important image, fingerprint image, samples of secret medicine, or bank account pattern. The correlation histograms demonstrate a high correlation for all encrypted images. The PSNR is used to find steganography quality for the two cover images after hiding the secret image showing a high quality for the two levels of hiding operation
Volume: 18
Issue: 2
Page: 961-969
Publish at: 2020-05-01

Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO

10.11591/ijeecs.v18.i2.pp750-758
Mohd Zaidi Mohd Tumari , Amar Faiz Zainal Abidin , A Shamsul Rahimi A Subki , Ab Wafi Ab Aziz , Muhammad Salihin Saealal , Mohd Ashraf Ahmad
Conventionally, the control of liquid slosh system is done based on model-based techniques that challenging to implement practically because of the chaotic motion of fluid in the container. The aim of this article is to develop the tuning technique for model-free PID with derivative filter (PIDF) parameters for liquid slosh suppression system based on particle swarm optimization (PSO). PSO algorithm is responsible to find the optimal values for PIDF parameters based on fitness functions which are Sum Squared Error (SSE) and Sum Absolute Error (SAE) of the cart position and liquid slosh angle response. The modelling of liquid slosh in lateral movement is considered to justify the design of control scheme. The PSO tuning method is compared by heuristic tuning method in order to show the effectiveness of the proposed tuning approach. The performance evaluations of the proposed tuning method are based on the ability of the tank to follow the input in horizontal motion and liquid slosh level reduction in time domain. Based on the simulation results, the suggested tuning method is capable to reduce the liquid slosh level in the same time produces fast input tracking of the tank without precisely model the chaotic motion of the fluid.
Volume: 18
Issue: 2
Page: 750-758
Publish at: 2020-05-01

Eliminating unwanted signals in sound by using digital signal processing system

10.11591/ijeecs.v18.i2.pp829-834
Amer T Saeed , Zaid Raad Saber , Ahmed M. Sana , Musa A. Hameed
Unwanted signals or noise signals in sound files are considered one of the major challenges and issues for a thousand users. It is impossible to reduce or remove these noise signals without identifying their types and ranges. Therefore, to address one of the big problems in the digital or analogue communication, which is noise signals or unwanted signals, an adaptive selection method and noise signal removal algorithm are proposed in this research. The proposed algorithm is done through specifying the types of undesirable signals, frequency, and time range, then utilizing digital signal processing system which includes design several types of digital filters based on the types and numbers of unwanted signals. Four digital filters are used in this research to remove noise signals from the sound file by implementing the proposed algorithm using Matlab Code. Results show that our proposed algorithm was done successfully and the whole noise signals were removed without any negative consequence in the output sound signal. Unwanted signals or noise signals in sound files are considered one of the major challenges and issues for a thousand users. It is impossible to reduce or remove these noise signals without identifying their types and ranges. Therefore, to address one of the big problems in the digital or analogue communication, which is noise signals or unwanted signals, an adaptive selection method and noise signal removal algorithm are proposed in this research. The proposed algorithm is done through specifying the types of undesirable signals, frequency, and time range, then utilizing digital signal processing system which includes design several types of digital filters based on the types and numbers of unwanted signals. Four digital filters are used in this research to remove noise signals from the sound file by implementing the proposed algorithm using Matlab Code. Results show that our proposed algorithm was done successfully and the whole noise signals were removed without any negative consequence in the output sound signal.
Volume: 18
Issue: 2
Page: 829-834
Publish at: 2020-05-01

An analysis of ADPLL applications in various fields

10.11591/ijeecs.v18.i2.pp856-866
R. Dinesh , Ramalatha Marimuthu
ADPLL is now an essential component in applications like wireless sensor networks, Internet of things, health care applications, agricultural applications, etc, and also due the requirement of digital implementation by the industries. ADPLL consists of a phase detector, loop filter and digital controlled oscillator. The conventional PLL and digital PLL used for frequency synthesis, clock recovery circuit and synchronization give imprecise performance with respect to reliability, speed, power consumption, noise, locking speed, cost, etc. ADPLL overcomes the drawbacks of conventional PLL and digital PLL. In this paper, different approaches followed in All Digital Phase Locked Loop (ADPLL) for various applications are reviewed and their performance is compared based on components, modulation functions, frequency range, power utilization etc. In addition, an ADPLL with wide tuning range and frequency resolution is designed and implemented using automatic placement and routing, time to digital converter, digital loop filter and ring based oscillator. The ADPLL outputs and the results are analyzed with micro wind tool. The design gives a frequency range from 1.0-5.5GHz with low power consumption and it can also be used for Clock generation applications. 
Volume: 18
Issue: 2
Page: 856-866
Publish at: 2020-05-01

Influence of device to device interconnection elements on the system behavior and stability

10.11591/ijeecs.v18.i2.pp843-847
Iraj Sadegh Amiri , Ahmed Nabih Zaki Rashed , Preecha Yupapin
This work has presented the interaction between tangential/sagittal cylindrical thin lens in the titled plane parallel crystal. Stability criterion parameters are measured under the control of curvature radius of a spherical mirror, the thickness of the tilted plane crystal, the refractive index of tilted plane crystal, the thickness for a plate of matter and phase angle of the sagittal cylindrical thin lens. Beam radius waist is plotted against the focal length of the tangential cylindrical thin lens. Focal length for both thin lens in resonator crystal is optimized to upgrade the resonator system operation efficiency.
Volume: 18
Issue: 2
Page: 843-847
Publish at: 2020-05-01

Comparative analysis of positive output super lift DC-DC luo converters

10.11591/ijeecs.v18.i2.pp707-716
Richa Adlakha , Anita Khosla , Dheeraj Joshi
Due to the advancement in the semiconductor technologies, DC-DC converters are gaining the importance in several industrial applications. They form the core of the switched mode power supplies which are used in real time applications. The performance of the conventional converter is affected by the parasitic elements and their voltage gain is also limited. To improve upon this, Super lift converters converter were developed by Luo. Voltage lift technique increases the voltage in geometric progression .These super lift converter are classified as positive output and negative output which are further classified into different series. In this paper series of Positive output Super lift converter topologies are analyzed. The proportional –integral controller is employed to theses converter in the paper. These converters boost the voltage up to three times the input voltage and gaining importance in Electric vehicles and Solar powered applications. The simulations are carried in PSIM.
Volume: 18
Issue: 2
Page: 707-716
Publish at: 2020-05-01
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