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27,860 Article Results

Development of Efficient Iris Identification Algorithm using Wavelet Packets for Smartphone Application

10.11591/ijeecs.v8.i2.pp450-456
Teddy Surya Gunawan , Nurul Shaieda Solihin , Malik Arman Morshidi , Mira Kartiwi
Nowadays, iris recognition is widely used for personal identification and verification based on biometrical technology, especially in the smartphone arena. By having this iris recognition for identification and verification, the smartphone will be secured since every person have their own iris type. In this paper, we proposed an efficient iris recognition using Wavelet Packets and Hamming distance which has lightweight computational requirements while maintaining the accuracy. There are several steps needed in order to recognize the iris which are pre-processing the iris image consists of segmentation and normalization, extract the feature that available in the iris image and identify this image to see whether it match with the person or not. For comparison purposes, different types of wavelet bases will be compared, including symlets, discrete meyer, biorthogonals, daubechies, and coiflets. Performance of the proposed algorithm was tested on Chinese Academy of Sciences Institute of Automation (CASIA) iris image database. The optimum wavelet basis function obtained is symlet. Results showed that the accuracy of the proposed algorithm is 100% identification rate.
Volume: 8
Issue: 2
Page: 450-456
Publish at: 2017-11-01

Hand Wrist Bone Identification Using Quadrant Ballon Snake

10.11591/ijeecs.v8.i2.pp335-342
Riyanto Sigit , Moch. Rochmad , Tri Harsono , Farah Devi Isnanda
In this research, hand wrist bone Identification for human forensic is discussed. Hand wrist bone is one of the effective methods used in the forensic science for age identification. There are four techniques used in this research: cropping image, preprocessing, Quadrant Ballon Snake and identification. The first step is to crop an image on metaphysis and epiphysis bone. The second step is preprocessing using morphology and edge detection. The third step is to apply Quadrant Ballon Snake to segment hand wrist bone. The last step is to use ratio metaphysis and epiphysis to identify a person. The performance segmentation for assessment hand wrist bone showed an average age identification 91%, bone age metaphysis 95% and bone age epiphysis 95%. The experiments resulted in the fact that Quadrant Ballon Snake method is able to find and improve the segmentation of hand wrist bone images accurately. This indicates that this method is effective for segmenting hand wrist bone.
Volume: 8
Issue: 2
Page: 335-342
Publish at: 2017-11-01

Automatic Cardiac Segmentation Using Triangle and Optical Flow

10.11591/ijeecs.v8.i2.pp315-326
Riyanto Sigit , Ali Ridho Barakbah , Indra Adji Sulistijono , Adam Shidqul Aziz
Cardiac function assessment plays an important role in daily cardiology and ultrasound. Full automatic cardiac segmentation is a challenging study because cardiac ultrasound imaging has low contrast and irregular moves. In this research, full automatic cardiac segmentation for cardiac diseases is presented. The technique used Initial Center Boundary, Pre-processing, Triangle Segmentation and Optical Flow. The first step is determining the initial center boundary. The second step is using Pre-processing to eliminate noise. The third step is Triangle Segmentation to detect cardiac boundary and reconstruct the accurate border. The last step is applying Optical Flow method to detect and track the border for every frame in a cardiac video. The performance segmentation for assessment errors cardiac cavity obtained an average triangle 8.18%, snake 19.94% and watershed 15.97%. The experiments showed that triangle method is able to find and improve the segmentation of cardiac cavity images with accurate. The result can be seen that error between system and average of users is only less than 5.6%. This indicates that this method is effective to segment and tracking cardiac cavity in a cardiac video.
Volume: 8
Issue: 2
Page: 315-326
Publish at: 2017-11-01

Enhanced Vein Detection from Video Sequences

10.11591/ijeecs.v8.i2.pp420-427
Kazi Istiaque Ahmed , Mohamed Hadi Habaebi , Md Rafiqul Islam
Nowadays, infusion of a needle is everyday common practice for the medical practitioner. A numerous fault occurs at the time of needle infusion into the blood vessel which is covered inside the human skin even though it is a simple and common practice in medical practitioning. This research proposes a computer-aided new technique using the vision-based imaging and Contrast Limited Adative Histogram Equalization (CLAHE) to detect and visualize the vein beneath a human's skin from video sequences which will be a really cost effective solution. IR night vision camera is being used to acquire the videos of an arm to compute the effect electromagnetic effect from NIR illumination which is absorbed by the hemoglobin of the blood vessel tissues. More precisely, its application can lead the process not only for error-free infusion of a needle to the patients but also localization of abdominal bleeding, stroke-inducing clots in the vein are the name of few. 
Volume: 8
Issue: 2
Page: 420-427
Publish at: 2017-11-01

Fingertip Detection Using Histogram of Gradients and Support Vector Machine

10.11591/ijeecs.v8.i2.pp482-486
Ali Sophian , Dayang Qurratu’aini
One important application in computer vision is detection of objects. One important application in computer vision is detection of objects. This paper discusses detection of fingertips by using Histogram of Gradients (HOG) as the feature descriptor and Support Vector Machines (SVM) as the classifier. The SVM is trained to produce a classifier that is able to distinguish whether an image contains a fingertip or not. A total of 4200 images were collected by using a commercial-grade webcam, consisting of 2100 fingertip images and 2100 non-fingertip images, were used in the experiment. Our work evaluates the performance of the fingertip detection and the effects of the cell’s size of the HOG and the number of the training data have been studied. It has been found that as expected, the performance of the detection is improved as the number of training data is increased. Additionally, it has also been observed that the 10 x 10 size gives the best results in terms of accuracy in the detection. The highest classification accuracy obtained was less than 90%, which is thought mainly due to the changing orientation of the fingertip and quality of the images. 
Volume: 8
Issue: 2
Page: 482-486
Publish at: 2017-11-01

Performance Study of Load Flow Algorithms in Well and Ill-Conditioned Systems

10.11591/ijeecs.v8.i2.pp414-419
Lea Tien Tay , Kai Seng Chieng
Existing transmission systems are classified as either ill systems or healthy systems. Most of the load flow algorithms works proficiently under well-conditioned systems. However, some of those algorithms fail to produce the accurate results for ill-conditioned systems. This paper investigates the performance of eight load flow algorithms based on the conventional Newton-Raphson, Fast-decoupled and Second-order Load Flow methods for a wide range of electrical bus system sizes. Tests are carried out for each load flow algorithm on six different standard bus systems, each with five different ill-conditioning levels. The results show that improved load flow model with constant Jacobian has advantages over the conventional load flow approach in both well and ill-conditioned system, especially for large-scale system.
Volume: 8
Issue: 2
Page: 414-419
Publish at: 2017-11-01

Online Marine Satellite System Using GIS

10.11591/ijeecs.v8.i2.pp571-573
Karpagavalli. S , V. Balamurugan
Geographic information Systems (GIS) square measure an honest tool for group action completely different form of spacial info. Its provides fast analysis and correlation of assorted geographical contexts. This method planned collects the data and integration marine data kind satellite pictures. This method automatic collects the surface location of the target. The system gets all info concerning another supply details, as well as ship movement from the automated Identification System (AIS).  The planned system creates upon immense years of expertise in style internet primarily based GIS. Internet GIS in on-line remote sensing services for ecological observation and system has solely been demo recently.
Volume: 8
Issue: 2
Page: 571-573
Publish at: 2017-11-01

Synchronous Winches to Lift the Ship and Distributed Control System to Distribute the Motor Loads for Marine Using CAN Protocol

10.11591/ijeecs.v8.i2.pp586-588
R. Sundar
A shiplift is a modern alternative for these older systems. It consists of a structural platform that is lifted and lowered exactly vertical, synchronously by a number of hoists. First, the platform is lowered underwater, then the ship is floated above the support, and finally the platform with ship is lifted and the ship is brought to the level of the harbor. The modern ship lifts use synchronous winches to hoist a ship.Our project proposes a new method to construct an automated ship lifting installation. According to this, each hoisting winch is entirely controlled by a dedicated microcontroller. All such hoists on either side of the platform are networked via CAN. This result in a distributed control system that runs all the hoists synchronously, thereby achieving precisely distributed motor loads and assuring that ships cannot slip. The project uses four such hoists to raise and lower the platform. Hoists are driven by dc motors with the microcontroller controlling the winch rotational speed. Each hoist is a CAN node on the network. In order to safely operate any shiplift, all hoists must be perfectly synchronized. Winches operate at the specified speed, regardless of load, behaving as if they are mechanically coupled together. A fifth node on the network acts as the control and monitoring unit for the entire hoisting maneuver. It has switches to start and stop the process and LCD screen to display the distribution of motor loads. The Ship lifting speed is changes according to the weight of the ship.
Volume: 8
Issue: 2
Page: 586-588
Publish at: 2017-11-01

Topologies of DC-DC Converter in Solar PV Applications

10.11591/ijeecs.v8.i2.pp368-374
Nor Hanisah Baharudin , Tunku Muhammad Nizar Tunku Mansur , Fairuz Abdul Hamid , Rosnazri Ali , Muhammad Irwanto Misrun
Solar energy plays an important role in renewable energy generation systems since it is clean, pollution-free sustainable energy as well as the increasing cost-of-electricity which causes high-growth demands amongst utility customers. This paper presents various circuit topologies of DC-DC converters in solar photovoltaic (PV) applications. There are three types of DC-DC converter presented in this paper that can be integrated with solar PV system which are buck, boost and buck-boost converter in various applications. This paper also presents the application on DC-DC converter in solar PV system for maximum power point tracking (MPPT) feature. The advantages and disadvantages of each topology will be discussed further in term of cost, components, efficiency and limitations.
Volume: 8
Issue: 2
Page: 368-374
Publish at: 2017-11-01

Simulation of Packet Scheduling in Cognitive Long Term Evolution-Advanced

10.11591/ijeecs.v8.i2.pp533-540
Mohamad ‘Ismat Hafizi Mansor , Huda Adibah Mohd Ramli , Ani Liza Asnawi , Farah Nadia Mohd Isa
Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A.
Volume: 8
Issue: 2
Page: 533-540
Publish at: 2017-11-01

Analysis of Regulated Kinase Signal Network through Feedback Loops in Extra-Cellular Signal

10.11591/ijeecs.v8.i2.pp549-551
C. Periyasamy Periyasamy
Signal network assumes a vital part in directing the principal cell capacities, for example, cell expansion, survival, separation and motility. Improvement and investigation of scientific model can help us gain a profound comprehension of the unpredictable conduct of ERK flag transduction organizes. This paper exhibits a computational model that offers an incorporated quantitative and dynamic reproduction of ERK flag transduction arranges, actuated by epidermal development figure. The mathematic demonstrate contains the enactment energy of the pathway, a huge number of input circles and association of platform proteins. The model gives knowledge into flag reaction connections between the authoritative of EGF to its receptor at the phone surface and actuation of downstream proteins in the flagging course. The diverse impact of positive and negative input circles of the ERK flag transduction pathway were for the most part examined, showing that criticism circles were the primary affecting variable to the swaying of ERK flag transduction pathway. The forecasts of this wavering of ERK enactment concur well with the writing. It can prompt flag floods of the downstream substrates and instigate relating natural practices.
Volume: 8
Issue: 2
Page: 549-551
Publish at: 2017-11-01

Energy Efficiency of a Building Using Capacitors Optimization

10.11591/ijeecs.v8.i2.pp343-349
Amirul Asyraf Mohd Kamaruzaman , Muhammad Murtadha Othman , Aainaa Mohd Arriffin , Ismail Musirin , Muhd Azri Abdul Razak , Zilaila Zakaria
This paper presents the optimal location and sizing of capacitors to reduce the total power losses as well as its investment cost for a distribution system in a building. The capacitors location and sizing will be randomly chosen repetitively, via Stochasitic optimization method using MATLAB® and SIMULINK® software. The optimal capacitors location and sizing will be picked via analysis and comparisons between the results. The result shows improvement in power losses with minimal investment cost whilst providing optimal sizing and location of capacitors to be installed in a building.
Volume: 8
Issue: 2
Page: 343-349
Publish at: 2017-11-01

Electrical Characterization of Commercial Power MOSFET Under Electron Radiation

10.11591/ijeecs.v8.i2.pp462-466
Wan Nurhasana binti Wan Ayub , Nurul Fadzlin Hasbullah , Abdul Wafi Rashid
This paper presents the threshold voltage shifts for both p-channel and n-channel commercial power MOSFET before and after electron irradiation. The experiment was done under the 3MeV energy of electron with dose level varies from 50KGy until 250KGy. The results were plotted and analyzed in terms of the shifted voltage characteristics. It is observed that after irradiation, both p-channel and n-channel MOSFET experiences negative threshold voltage shifts. For n-channel devices, this is due to the radiation-induced positive charges dominated in the oxide traps while for p-channel devices it is believed due to radiation-induced ionization damage.
Volume: 8
Issue: 2
Page: 462-466
Publish at: 2017-11-01

Convolutional Neural Network Based Target Recognition for Marine Search

10.11591/ijeecs.v8.i2.pp561-563
J. S. Ashwin , N. Manoharan
The key point of marine search and rescue is to find out and recognize the distress objects. At present, the visual search method is usually adopted to detect the ships in distress, and this method can only be used at good sea condition and visibility. In this paper, a new target detection and recognition system is proposed. The parameters of radar transmitter and echo graphics and the invariant moments of radar images are extracted as the system’s recognition features, and the system’s target classifier is based on Convolutional Neural Networks (CNN). The developed recognition classifier has been tested using three kinds of target Images, the target’s features are used as the inputs of trained CNN and the outputs of networks are target classification. Sea experimental results show that the proposed method is well-clustering and with high classified accuracy.
Volume: 8
Issue: 2
Page: 561-563
Publish at: 2017-11-01

Enhancement of Energy Control Routing Protocol for Mobile Ad Hoc Network Based on Hybrid Particle Swarm Optimization with Ant Colony-based Energy Control Routing

10.11591/ijeecs.v8.i2.pp308-314
Hasan Awni Shakir , Ravie Chandren Muniyandi , Zulkarnain MD. Ali
MANET is an autonomous collection of distributed mobile nodes. Every node in a MANET works as a source and a sink and that relays packets for other nodes. The key features of a MANET include dynamic network topology, distributed network nature, multi-hop communication, limited bandwidth, and limited energy constraints. Given that the battery of the nodes is limited, the energy of the nodes and the lifetime of network is a critical problem in MANETs. Moreover, nodes maintain static or less movement after being deployed. The energy of the MANET nodes cannot be recharged, which leads to dead nodes. This study improves the energy cost for the ACECR and boosts advancement through its contributions. Areas in the ad hoc network where much work is needed are discussed. This study only explored the impact of PSO on ACECR. Results indicate that ACECR- PSO performed better than the other protocols in terms of balanced energy consumption and extended network lifetime.
Volume: 8
Issue: 2
Page: 308-314
Publish at: 2017-11-01
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