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28,593 Article Results

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

PSS Based Angle Stability Improvement Using Whale Optimization Approach

10.11591/ijeecs.v8.i2.pp382-390
N. A. M. Kamari , I. Musirin , Z. Othman , S. A. Halim
This paper introduced a new swarm based optimization technique for tuning Power System Stabilizer (PSS) that attached to a synchronous generator in a single machine infinite bus (SMIB) system. PSS which is installed with Lead-Lag (LL) controller is introduced to elevate the damping capability of the generator in the low frequency mode. For tuning PSS-LL parameters, a new technique called Whale Optimization Algorithm (WOA) is proposed. This method mimics the social behavior of humpback whales which is characterized by their bubble-net hunting strategy in order to enhance the quality of the solution. Based on eigenvalues and damping ratio results, it is confirmed that the proposed technique is more efficient than Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) in improving the angle stability of the system. Comparison between WOA, PSO and EP optimization techniques showed that the proposed computation approach give better solution and faster computation time.
Volume: 8
Issue: 2
Page: 382-390
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

Hybrid Approach for Water Demand Prediction Based on Fuzzy Congnitive Maps

10.11591/ijeecs.v8.i2.pp567-570
G. Jenitha
 In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). The proposed structure optimization genetic algorithm (SOGA) for automatic construction of FCM is used for modeling complexity based on historical time series, and artificial neural networks (ANNs) which are used at the final process for making time series prediction. The suggested SOGA-FCM method is used for selecting the most important nodes (attributes) and interconnections among them which in the next stage are used as the input data to ANN used for time series prediction after training. The FCM with proficient learning calculations and ANN have been as of now demonstrated as adequate strategies for setting aside a few minutes arrangement anticipating. The execution of the proposed approach is exhibited through the examination of genuine information of every day water request and the comparing expectation. The multivariate examination of recorded information is held for nine factors, season, month, day or week, occasion, mean and high temperature, rain normal, touristic action and water request. The entire approach was actualized in a clever programming device at first sent for FCM forecast. Through the exploratory investigation, the value of the new mixture approach in water request forecast is illustrated, by computing the mean outright blunder (as one of the outstanding expectation measures). The outcomes are promising for future work to this bearing.
Volume: 8
Issue: 2
Page: 567-570
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

Metal Oxides Semiconductor Sensors for Odor Classification

10.11591/ijres.v6.i3.pp133-149
Nyayu Latifah Husni , Ade Silvia , Siti Nurmaini , Irsyadi Yani
The performance of gas sensor will differ and vary due to the surrounding environment changing, the way of implementation, and the position of the sensors to the source. To reach a good result on gas sensors implementation, a performance test on sensors is needed. The results of the tests are useful for characterizing the properties of the particular material or device. This paper discusses the performances of metal oxides semiconductor (MOS) sensors. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability of the sensor when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method in order to see the sensors' sensitivity to the uncertainty disturbances, such as wind. The result shows that metal oxides semiconductor sensor was responsive to the 3 sources not only in static but also dynamic conditions. The expected outcome of this study is to predict the MOS sensors' performance when they are applied in robotic implementation. This performance was considered as the training datasets of the sensor for odor classification in this research. From the experiments, It was got, in dynamic experiment, the senrors has average of precision of 93.8-97%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the sensors were selective to the odor they sensed.
Volume: 6
Issue: 3
Page: 133-149
Publish at: 2017-11-01

Design of a Reconfigurable, Modular and Multi-Channel Bioimpedance Spectroscopy System

10.11591/ijeecs.v8.i2.pp428-440
Ahmed Al-Hashimi , Anis Nurashikin Nordin , Amelia Wong Azman
This paper presents the design and implementation of a multichannel bio-impedance spectroscopy system on field programmable gate arrays (FPGA). The proposed system is capable of acquiring multiple signals from multiple bio-impedance sensors, process the data on the FPGA and store the final data in the on-board Memory. The system employs the Digital Automatic Balance Bridge (DABB) method to acquire data from biosensors. The DABB measures initial data of a known impedance to extrapolate the value of the impedance for the device under test. This method offers a simpler design because the balancing of the circuit is done digitally in the FPGA rather than using an external circuit. Calculations of the impedance values for the device under test were done in the processor. The final data is sent to an onboard Flash Memory to be stored for later access. The control unit handles the interfacing and the scheduling between these different modules (Processor, Flash Memory) as well as interfacing to multiple Balance Bridge and multiple biosensors. The system has been simulated successfully and has comparable performance to other FPGA based solutions. The system has a robust design that is capable of handling and interfacing input from multiple biosensors. Data processing and storage is also performed with minimal resources on the FPGA.
Volume: 8
Issue: 2
Page: 428-440
Publish at: 2017-11-01
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