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30,376 Article Results

Improve The Performance of K-means by using Genetic Algorithm for Classification Heart Attack

10.11591/ijece.v8i2.pp1256-1261
Asraa Abdullah Hussein
In this research the k-means method was used for classification purposes after it was improved using genetic algorithms. An automated classification system for heart attack was implemented based on the intelligent recruitment of computer capabilities at the same time characterized by high performance based on (270) real cases stored within a globally database known (Statlog). The proposed system aims to support the efforts of staff in medical felid to reduce the diagnostic errors committed by doctors who do not have sufficient experience or because of the fatigue that the doctor suffers as a result of work pressure. The proposed system goes through two stages: in the first-stage genetic algorithm is used to select important features that have a strong influence in the classification process. These features forms the inputs to the K-means method in the second-stage which uses the selected features to divide the database into two groups one of them contain cases infected with the disease while the other group contains the correct cases depending on the distance Euclidean. The comparison of performance for the method (K-means) before and after addition genetic algorithm shows that the accuracy of the classification improves remarkably where the accuracy of classification was raised from (68..1481) in the case of use (k- means only) to (84.741) when improved the method by using genetic algorithm.
Volume: 8
Issue: 2
Page: 1256-1261
Publish at: 2018-04-01

A Novel on Stability and Fault Ride through Analysis of Type-4 Wind Generation System Integrated to VSC-HVDC Link

10.11591/ijape.v7.i1.pp52-58
Ch. S. V. S. Phani Kumar , T. Vinay Kumar
Now-a-days pollution is increasing due to “Non Renewable Energy Sources”. In order to enhance the efficiency of conventional grid and to generate the electrical power in eco-friendly way, the renewable energy sources are employed. In this paper a type 4 wind generation system is implemented to analyse the system under fault conditions and to analyse the grid stability. In the proposed system type-4 wind generation system integrated to grid through VSC-HVDC link analysis is done by considering a fault on the grid side by the system gets isolated and wind generation system transfers voltage to local load and remote load. When a DC fault is occurred on the VSC-HVDC link then the grid side breaker and wind side breaker gets open, then system gets isolated. This is implemented by considering “Low Voltage Ride Through” (LVRT) conditions, According to the Indian grid code of contact wind generation maintain constant even the voltage collapse is occurred on the grid side. The proposed VSC-HVDC based Type-4 Wind Generation System give more reliable to operate in LVRT condition and can meet the Load demand when the system is under fault condition to some extent; The proposed method is Type –4 Wind generator is of 4.4MW/2.2kV each with a total plant capacity of 110MW operated with VSC based HVDC transmission system with 110kV DC bus voltage connected to 220kV grid. The results obtained shows the Grid is operates under fault ride through conditions stability.
Volume: 7
Issue: 1
Page: 52-58
Publish at: 2018-04-01

Multi-Level of Feature Extraction and Classification for X-Ray Medical Image

10.11591/ijeecs.v10.i1.pp154-167
Mohammed Muayad Abdulrazzaq , Imad FT Yaseen , SA Noah , Moayad A. Fadhil
There has been a rise in demand for digitized medical images over the last two decades. Medical images' pivotal role in surgical planning is also an essential source of information for diseases and as medical reference as well as for the purpose of research and training. Therefore, effective techniques for medical image retrieval and classification are required to provide accurate search through substantial amount of images in a timely manner. Given the amount of images that are required to deal with, it is a non-viable practice to manually annotate these medical images. Additionally, retrieving and indexing them with image visual feature cannot capture high level of semantic concepts, which are necessary for accurate retrieval and effective classification of medical images. Therefore, an automatic mechanism is required to address these limitations. Addressing this, this study formulated an effective classification for X-ray medical images using different feature extractions and classification techniques. Specifically, this study proposed pertinent feature extraction algorithm for X-ray medical images and determined machine learning methods for automatic X-ray medical image classification. This study also evaluated different image features (chiefly global, local, and combined) and classifiers. Consequently, the obtained results from this study improved results obtained from previous related studies.
Volume: 10
Issue: 1
Page: 154-167
Publish at: 2018-04-01

Body Information Analysis based Personal Exercise Management System

10.11591/ijece.v8i2.pp651-657
Jongwon Lee , Hyunju Lee , Donggyun Yu , Hoekyung Jung
Recently, people's interest in health is deepening. So health-related systems are being developed. Existing exercise management systems provided users with exercise related information using PC or smart phone. However, there is a problem that the accuracy of the algorithm for analyzing the user's body information and providing information is low.In this paper, we analyze users' body mass index (BMI) and basal metabolic rate (BMR) and we propose a system that provides the user with necessary information through recommendation algorithm. It informs the user of exercise intensity and momentum, and graphs the exercise history of the user. It also allows the user to refer to the fitness history of other users in the same BMI group. This allows the user to receive more personalized services than the existing exercise management system, thereby enabling efficient exercise.
Volume: 8
Issue: 2
Page: 651-657
Publish at: 2018-04-01

Netload-constrained Unit Commitment Considering Increasing Renewable Energy Penetration Levels: Impact of Generation Schedules and Operational Cost

10.11591/ijape.v7.i1.pp87-98
Saleh Y. Abujarad , M. W. Mustafa , J. J. Jamian , Abdirahman M. Abdilahi , N. Zareen
In the context of low carbon power systems, the penetration levels of Renewable Energy Sources (RES) are expected to increase dramatically. In this regard, this paper investigates the maximum RES penetration level constrained by net load while considering an inflexible Unit Commitment (UC) model. To solve the UC problem, an enhanced priority list (EPL) based method is developed. In the proposed method, the plants were activated sequentially based on the operational price. The system constraint violations were repeatedly corrected until all system constraints (such as net load and spinning reserves) were satisfied. The proposed EPL method was efficient to achieve a near optimal solution under high shares of RES. Furthermore, the research work investigates three different scenarios representing penetration levels of 10% solar-only, 14.5% wind-only and 27.5% mixture of both solar and wind. The impact of each penetration level on the system scheduling and operational cost were analyzed in detail. The analysis presented shows that a potential operational cost savings of 21.6 $/MW, 20 $/MW and 11.1 $/MW is feasible under each of the represented scenarios, respectively.
Volume: 7
Issue: 1
Page: 87-98
Publish at: 2018-04-01

Bat-Cluster: A Bat Algorithm-based Automated Graph Clustering Approach

10.11591/ijece.v8i2.pp1122-1130
Zakaria Boulouard , Amine El Haddadi , Fadwa Bouhafer , Anass El Haddadi , Lahcen Koutti , Bernard Dousset
Defining the correct number of clusters is one of the most fundamental tasks in graph clustering. When it comes to large graphs, this task becomes more challenging because of the lack of prior information. This paper presents an approach to solve this problem based on the Bat Algorithm, one of the most promising swarm intelligence based algorithms. We chose to call our solution, “Bat-Cluster (BC).” This approach allows an automation of graph clustering based on a balance between global and local search processes. The simulation of four benchmark graphs of different sizes shows that our proposed algorithm is efficient and can provide higher precision and exceed some best-known values.
Volume: 8
Issue: 2
Page: 1122-1130
Publish at: 2018-04-01

Ecological and Economical Friendly Analysis of A Hybrid Solar-Grid-Diesel Connected Power Generation System

10.11591/ijape.v7.i1.pp1-9
Rafat Qonain , Malik Rafi , Imran Khan , Shivley Sageer
This paper presents Importance of hybrid power system. This paper depicts model and simulation of a renewable energy based hybrid power system for improving power quality because optimal utilization of primary energy sources will increase the level of supply reliability. The combination of Grid, Photo Voltaic (PV) Array System, and Diesel generator systems are used for power generation. Due to variation in output power of solar panel, Diesel engine is also coupled to ensure reliable supply under all conditions. The results shows that the proposed hybrid power system can effectively manage the optimal utilization of primary energy sources and improves the power quality in an islanding as well as grid connected mode.
Volume: 7
Issue: 1
Page: 1-9
Publish at: 2018-04-01

Comparative Analysis of Power Quality Indices for Different Lighting Techniogies in Public Lightning

10.11591/ijece.v8i2.pp880-887
Jurica Perko , Srete Nikolovski , Ljubomir Majdandžić
As with any other product, having electricity of a certain quality is very important for consumers. Its quality has become the key feature that can be disturbed by loads based on power electronic devices. Electricity producers are striving to provide reliable and quality electricity supply to consumers. Public lighting systems that are based on LED lighting technology can potentially positively or negatively affect the power quality because they contain power electronics components in LED drivers. Because of that, two 7-day measurements were conducted on the same public lighting branch but with different lighting technologies (high pressure sodium, known as HPS and LED technology). Results of the measurements were analysed and compared. By analysing the results, other problems were also identified by using LED lighting technology. These problems are addressed in the conclusion of the paper.
Volume: 8
Issue: 2
Page: 880-887
Publish at: 2018-04-01

Automatic Segmentation of Brachial Artery based on Fuzzy C-Means Pixel Clustering from Ultrasound Images

10.11591/ijece.v8i2.pp638-643
Joonsung Park , Doo Heon Song , Hosung Nho , Hyun-Min Choi , Kyung-Ae Kim , Hyun Jun Park , Kwang Baek Kim
Automatic extraction of brachial artery and measuring associated indices such as flow-mediated dilatation and Intima-media thickness are important for early detection of cardiovascular disease and other vascular endothelial malfunctions. In this paper, we propose the basic but important component of such decision-assisting medical software development – noise tolerant fully automatic segmentation of brachial artery from ultrasound images. Pixel clustering with Fuzzy C-Means algorithm in the quantization process is the key component of that segmentation with various image processing algorithms involved. This algorithm could be an alternative choice of segmentation process that can replace speckle noise-suffering edge detection procedures in this application domain.
Volume: 8
Issue: 2
Page: 638-643
Publish at: 2018-04-01

Vector Control of VSC HVDC System under Single Line to Ground Fault Condition

10.11591/ijape.v7.i1.pp59-64
Prabodha Kumar Rath , Kanhu Charan Bhuyan
This paper proposes a model of a VSC (voltage source converter) based Back to Back HVDC system and its control technique under fault condition. From the mathematical model of the system relationship between the controlling and the controlled variables is determined to control the system parameters. An appropriate vector control technique is used to control active and reactive power and to maintain DC link voltage. The proposed controlling unit consists of outer control loop and inner control loop which effectively damped out the system oscillation and maintains the system stability. The validity of the model and the feasibility of the control method have been proved by the simulation results. In this paper the system performance is studied under fault condition is studied.
Volume: 7
Issue: 1
Page: 59-64
Publish at: 2018-04-01

Framework for Contextual Outlier Identification using Multivariate Analysis approach and Unsupervised Learning

10.11591/ijece.v8i2.pp1092-1101
Madhu Chandra G. , Sreerama Reddy G. M.
Majority of the existing commercial application for video surveillance system only captures the event frames where the accuracy level of captures is too poor. We reviewed the existing system to find that at present there is no such research technique that offers contextual-based scene identification of outliers. Therefore, we presented a framework that uses unsupervised learning approach to perform precise identification of outliers for a given video frames concerning the contextual information of the scene. The proposed system uses matrix decomposition method using multivariate analysis to maintain an equilibrium better faster response time and higher accuracy of the abnormal event/object detection as an outlier. Using an analytical methodology, the proposed system blocking operation followed by sparsity to perform detection. The study outcome shows that proposed system offers an increasing level of accuracy in contrast to the existing system with faster response time.
Volume: 8
Issue: 2
Page: 1092-1101
Publish at: 2018-04-01

Kalman Filter Algorithm for Mitigation of Power System Harmonics

10.11591/ijece.v8i2.pp771-779
K. Dhineshkumar , C. Subramani
The maiden application of a variant of Kalman Filter (KF) algorithms known as Local Ensemble Transform Kalman Filter (LET-KF) are used for mitigation and estimation power system harmonics are proposed in this paper. The proposed algorithm is applied for estimating the harmonic parameters of power signal containing harmonics, sub-harmonics and inter-harmonics in presence of random noise. The KF group of algorithms are tested and applied for both stationary as well as dynamic signal containing harmonics. The proposed LET-KF algorithm is compared with conventional KF based algorithms like KF, Ensemble Kalman Filter (En-KF) algorithms for harmonic estimation with the random noise values 0.001, 0.05 and 0.1. Among these three noises, 0.01 random noise results will give better than other two noises. Because the phase deviation and amplitude deviation less in 0.01 random noise. The proposed algorithm gives the better results to improve the efficiency and accuracy in terms of simplicity and computational features. Hence there are less multiplicative operations, which reduce the rounding errors. It is also less expensive as it reduces the requirement of storing large matrices, such as the Kalman gain matrix used in other KF based methods.
Volume: 8
Issue: 2
Page: 771-779
Publish at: 2018-04-01

Three Area Power System Load Frequency Control Using Fuzzy Logic Controller

10.11591/ijape.v7.i1.pp18-26
C. R. Balamurugan
System frequency is one of the most important parameters of a power system. Du to generation-load mismatches, the system frequency can vary over a small range. When the power consumed by loads and overall losses is greater than the generated power, the operating frequency of the system will decrease, resulting in a situation known as the under frequency condition. In some other case, if some of the loads in a system are disconnected from the system suddenly, or lost, it leads to a condition called as the over frequency condition. This condition is char acterized by greater input power than the consumed power by the loads. The rest of the loads in the system will absorb the extra power and the generator inertia, leading to an increase in the system frequency. In both the cases, the system frequency fluctuates from the power system’s limited frequency range, further leading to tripping off of the substation and further collapsing of the entire system. The paper describes a new method employing a smart meter to monitor and control the power system frequency which changes according to the loading conditions in the system, whether under load condition or overload condition. 
Volume: 7
Issue: 1
Page: 18-26
Publish at: 2018-04-01

The Effects of Segmentation Techniques in Digital Image Based Identification of Ethiopian Coffee Variety

10.12928/telkomnika.v16i2.8419
Abrham Debasu; Bahir Dar University Mengistu
This paper presents the effects of segmentation techniques in the identification of Ethiopian coffee variety. In Ethiopia, coffee varieties are classified based on their growing region. The most widely coffee growing regions in Ethiopia are Bale, Harar, Jimma, Limu, Sidamo and Welega. Coffee beans of these regions very in color shape and texture. We investigated various segmentation techniques for efficient coffee beans variety identification system. Images of six different coffee beans varieties in Oromia and Southern Ethiopia were acquired and analyzed. For this study Otsu, Fuzzy-C-Means (FCM) and Kmeans segmentation techniques are considered. For classification of the varieties of Ethiopian coffee beans back propagation neural network (BPNN) is used. From the experiment 94.54% accuracy is achieved when BPNN is used on FCM segmentation technique.
Volume: 16
Issue: 2
Page: 713-717
Publish at: 2018-04-01

Research on 4-dimensional Systems without Equilibria with Application

10.12928/telkomnika.v16i2.8507
Ruibin; University of Science and Technology Beijing Hao , Lequan; University of Science and Technology Beijing Min , Hongyan; University of Science and Technology Beijing Zang
Recently chaos-based encryption has been obtained more and more attention. Chaotic systems without equilibria may be suitable to be used to design pseudorandom number generators (PRNGs) because there does not exist corresponding chaos criterion theorem on such systems. This paper proposes two propositions on 4-dimensional systems without equilibria. Using one of the propositions introduces a chaotic system without equilibria. Using this system and the generalized chaos synchronization (GCS) theorem constructs an 8-dimensional discrete generalized chaos synchronization (8DBDGCS) system. Using the 8DBDGCS system designs a 216-word chaotic PRNG. Simulation results show that there are no significant correlations between the key stream and the perturbed key streams generated via the 216-word chaotic PRNG. The key space of the chaotic PRNG is larger than 21275. As an application, the chaotic PRNG is used with an avalanche-encryption scheme to encrypt an RGB image. The results demonstrate that the chaotic PRNG is able to generate the avalanche effects which are similar to those generated via ideal chaotic PRNGs.
Volume: 16
Issue: 2
Page: 811-826
Publish at: 2018-04-01
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