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29,758 Article Results

Sizing and Cost Analysis of Self-Consumed Solar PV DC System Compared with AC System for Residential House

10.11591/ijeecs.v10.i1.pp10-18
T. M. N. T. Mansur , N. H. Baharudin , R. Ali
The use of solar photovoltaic (PV) system has grown significantly in Malaysia after Renewable Energy Act has been gazetted in 2011.The objective of this paper is to highlight the technical and economic analysis of solar PV DC system to generate enough energy for residential customer group that consumed 200 kWh per month so that they are less dependent on energy from the utility grid. The results are then compared to the solar PV AC system with similar load setup. The methodology involves gathering solar energy resource, configuring daily load demand, sizing PV array, battery bank and inverter and lastly simulation of the design system by using Homer software.  Based on Homer simulation, the solar PV AC system required slightly larger PV array sizes than the solar PV DC system to compensate losses due to the inverter efficiency which is not counted in DC system.Moreover, the solar PV AC system is almost 8.0% more expensive with 6% higher COE than the solar PV DC system due to the present of inverter.Lastly, both systems will benefit from reduction of energy consumed up to 2,434 kWh annually and to the environmental aspect, will avoid 1.7 tons of CO2 releases into the atmosphere.
Volume: 10
Issue: 1
Page: 10-18
Publish at: 2018-04-01

Control Synthesis for Marine Vessels in Case of Limited Disturbances

10.12928/telkomnika.v16i2.7180
Mikhail; St. Petersburg State University Smirnov , Maria A.; St. Petersburg State University Smirnova
In view of rapid development of computer technology digital systems of automatic control are installed on the modern marine vessels for performance of various manoeuvres at optimal trajectories taking into account features of the ship and active disturbances. In this connection, great number of problems that deal with construction of automatic control systems, such as minimizing the fulfillment time of the maneuver, searching for the optimal trajectory, the suppression of various types of exogenous disturbances like wind and rough sea, arises. In the work, the problem of suppression of exogenous disturbances acting on a marine vessel, about which we have no information except its boundedness, is considered. The problem of searching of the controller as a static state feedback is the basis of offered approach. The system MATLAB-Simulink is accepted as the basic tool of the computer support. An example of modeling control system for the carrier is presented.
Volume: 16
Issue: 2
Page: 648-653
Publish at: 2018-04-01

Alternative Grounding Method Using Coconut Shell Charcoal as Media of Mesh Electrodes

10.12928/telkomnika.v16i2.8700
Moch; Brawijaya University Dhofir , Rini Nur; Brawijaya University Hasanah , Hadi; Brawijaya University Suyono , Avrizal Riva; Brawijaya University Belan
The utilization of coconut charcoal as alternative media of grounding was investigated. The mesh-electrode was made of stainless steel of 8-mm diameter, whereas its lattice dimension was 50cmx50cm. Four variations of lattice number were considered, i.e. 1-, 2-, and 4-lattice structures. Dry and wet charcoal media were considered. Mesh location was fixed in the depth of 80cm under the ground, while the 10cm of medium thickness variation was chosen. The resistance obtained using 10-cm thickness of charcoal layer in a mesh consisting of 1-, 2-, and 4-lattices were 268, 131, and 78 ohms consecutively. The addition of layer up to 80-cm resulted in a resistance decrease of 48%, 33%, and 44%. Using wet charcoal, the 10-cm layer produced 26.5, 17.5, and 14.8 ohms of grounding resistance and a reduction of 25%, 10%, and 3.6% subsequently for 1-, 2-, and 4-lattice mesh structure if the layer thickness was 80 cm.
Volume: 16
Issue: 2
Page: 488-494
Publish at: 2018-04-01

On the Comparison of Line Spectral Frequencies and Mel-Frequency Cepstral Coefficients Using Feedforward Neural Network for Language Identification

10.11591/ijeecs.v10.i1.pp168-175
Teddy Surya Gunawan , Mira Kartiwi
Of the many audio features available, this paper focuses on the comparison of two most popular features, i.e. line spectral frequencies (LSF) and Mel-Frequency Cepstral Coefficients. We trained a feedforward neural network with various hidden layers and number of hidden nodes to identify five different languages, i.e. Arabic, Chinese, English, Korean, and Malay. LSF, MFCC, and combination of both features were extracted as the feature vectors. Systematic experiments have been conducted to find the optimum parameters, i.e. sampling frequency, frame size, model order, and structure of neural network. The recognition rate per frame was converted to recognition rate per audio file using majority voting. On average, the recognition rate for LSF, MFCC, and combination of both features are 96%, 92%, and 96%, respectively. Therefore, LSF is the most suitable features to be utilized for language identification using feedforward neural network classifier.
Volume: 10
Issue: 1
Page: 168-175
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

Improved Key Frame Extraction using Discrete Wavelet Transform with Modified Threshold Factor

10.12928/telkomnika.v16i2.7692
Hussein Ali; University of Technology Aldelfy , Mahmood Hamza; University of Technology Al-Mufraji , Thamir; University of Technology R. Saeed
Video summarization used for a different application like video object recognition and classification. In video processing, numerous frames containing similar information, this leads to time consumption and slow processing speed and complexity. By using key frames reducing the amount of memory needed for video data processing and complexity greatly. In this paper key frame extraction of Arabic isolated word using discrete wavelet transform (DWT) with modified threshold factor is proposed with different bases. The results for different wavelet basis db, sym and coif show the best result for numbers of key frames at the threshold factor value (0.75).
Volume: 16
Issue: 2
Page: 567-572
Publish at: 2018-04-01

A Real Time Vein Detection System

10.11591/ijeecs.v10.i1.pp129-137
Kazi Istiaque Ahmed , Mohamed Hadi Habaebi , Md Rafiqul Islam
Blood veins detection process can be cumbersome for nurses and medical practioners when it comes to special overweight type of patients.This simple routine procedure can lead the process into an extreme calamity for these patients. In this paper, we emphasized on a process for the detection of the vein in real time using the consecrations of Matlab to prevent or at least reduce the number of inescapable calamity for patients during the infusion of a needle by phlebotomy or doctor in everyday lives. Hemoglobin of the blood tissues engrossed the Near Infrared (NIR) illuminated light and Night vision camera is used to capture the scene and enhance the vein pattern clearly using Contrast Limited Adaptive Histogram Equalization (CLAHE) method. This simple approach can successfully also lead to localizing bleeding spots, clots from stroke …etc among other things.
Volume: 10
Issue: 1
Page: 129-137
Publish at: 2018-04-01

Editorial: Scientific Writing Workshop on TELKOMNIKA Editors and Authors Meeting (TEAM)

10.12928/telkomnika.v16i2.3773
Tole; Universitas Ahmad Dahlan Sutikno
In this year, TELKOMNIKA is organizing scientific writing workshop series for improving manuscript quality which is called as “Scientific Writing Workshop on TELKOMNIKA Editors and Authors Meeting (TEAM)”. This workshop is aimed at developing scientific writing skills to both editing and proofreading for preparing final manuscript. Editing covers reread manuscript which includes content, overall structure, clarity, style and citations to see whether the manuscript is well-organized and the transitions between paragraphs are smooth. Proofreading is the final stage of the editing process, focusing on surface errors such as misspellings and mistakes in grammar and punctuation. This process is just as important as any other aspect of writing. The process is instrumental in getting ideas across in an accessible and logical manner.
Volume: 16
Issue: 2
Page: 463-464
Publish at: 2018-04-01

Driver Behaviour State Recognition based on Speech

10.12928/telkomnika.v16i2.8416
Norhaslinda; Universiti Teknologi MARA Kamaruddin , Abdul Wahab; International Islamic University Malaysia Abdul Rahman , Khairul Ikhwan; Universiti Teknologi MARA Mohamad Halim , Muhammad Hafiq Iqmal; Universiti Teknologi MARA Mohd Noh
Researches have linked the cause of traffic accident to driver behavior and some studies provided practical preventive measures based on different input sources. Due to its simplicity to collect, speech can be used as one of the input. The emotion information gathered from speech can be used to measure driver behavior state based on the hypothesis that emotion influences driver behavior. However, the massive amount of driving speech data may hinder optimal performance of processing and analyzing the data due to the computational complexity and time constraint. This paper presents a silence removal approach using Short Term Energy (STE) and Zero Crossing Rate (ZCR) in the pre-processing phase to reduce the unnecessary processing. Mel Frequency Cepstral Coefficient (MFCC) feature extraction method coupled with Multi-Layer Perceptron (MLP) classifier are employed to get the driver behavior state recognition performance. Experimental results demonstrated that the proposed approach can obtain comparable performance with accuracy ranging between 58.7% and 76.6% to differentiate four driver behavior states, namely; talking through mobile phone, laughing, sleepy and normal driving. It is envisaged that such approach can be extended for a more comprehensive driver behavior identification system that may acts as an embedded warning system for sleepy driver.
Volume: 16
Issue: 2
Page: 852-861
Publish at: 2018-04-01

Vehicle Accident Report Application for Solving Traffic Problems and Reduce the Ratio of Pollution using Case Study: Kuwait City

10.11591/ijeecs.v10.i1.pp380-391
Abdulrahman Alkandari , Samer Moein
Minor traffic accidents have become a major problem facing the road users in the recent years, according to the statistics from the Ministry of Interior (MOI) in Kuwait there were recorded 80,388 accidents by the year 2014. Accidents not only affect the mobility but also contribute to air pollution and slow down economic growth. These effects are the result of the seriously extended trips travel time due to accumulated vehicles queue. In some accidents cases, the lost time waiting for the arrival of the traffic officers and filling up the accident report could take up to 45 minutes. The new idea of Vehicle Accident Report application (I-VAR) concept developed by the research team would reduce the waiting time up to 3 minutes (93% savings), which would increase the level of service of the segment of a roadway. In addition, the study will be discussed four major situations on some of the busiest roads in Kuwait. Specifically, gas emissions and cost estimation. Improve the pollution obviously, by using the (I-VAR) application for the minor accidents there is an amount of 360,776,460 K.D would be saved yearly from the Kuwait government funds. It is a consequence of the huge savings in alleviating traffic congestion and generally produces more saver and efficient travel conditions.
Volume: 10
Issue: 1
Page: 380-391
Publish at: 2018-04-01

Deduplication Analysis of Products In Digital Marketing

10.11591/ijeecs.v10.i1.pp392-399
P. Amudhavalli , N. Rajalakshmi , K.S. Sindhu
As Digital Marketing is becoming more popular, the number of customer’s interpretation on brands is increasing promptly which makes it firmer for companies to evaluate their brand image and to digital market their products on the web. The Forensic Analysis is used to determine and analyze patterns of fraudulent activities on images. Pixel Analysis and Least square support vector machine are used to compare and associate the scores acquired from the images into one result per tweet. We selected these techniques to compare and find the accuracy of the Digital Marketing images with the received product’s images to identify the fraudulent activities on images in Digital Marketing. As the result of this project the customer can identify whether the received product is exactly what is given in the online purchase website.
Volume: 10
Issue: 1
Page: 392-399
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

Predicting the Spread of Acacia Nilotica Using Maximum Entropy Modeling

10.12928/telkomnika.v16i2.6894
Budi Arif; Universitas Singaperbangsa Karawang Dermawan , Yeni; Bogor Agricultural University Herdiyeni , Lilik Budi; Bogor Agriculturan University Prasetyo , Agung; The Ministry of Environment and Forestry Siswoyo
Acacia nilotica planted in Baluran National Park aims to prevent the spread of fire from savanna to teak forest became developed into invasive and led to a decrease in the quality and quantity of savannas. Therefore, it is required to predict the spread of A. nilotica to minimize the impacts of invasion on savanna area. The study aims to identify environmental factors which affect spread of A. nilotica. Furthermore, the spread of A. nilotica is predicted using Maximum Entropy. Maximum Entropy is efficient model since it uses presence-only data while the most of other models use presence and absence data. The experimental results reveal six environmental factors, including elevation, slope, NDMI, NDVI, distance from the river, and temperature were identified affecting the spread of A. nilotica. The most dominant environmental factors were elevation and temperature with 40% and 39.6% contributions. Maximum Entropy performed well in predicting the spread of A. nilotica, it was indicated by AUC value of 0.938.
Volume: 16
Issue: 2
Page: 703-712
Publish at: 2018-04-01

Task Scheduling in Heterogeneous Multiprocessor Environments – An Efficient ACO-Based Approach

10.11591/ijeecs.v10.i1.pp320-329
Nekiesha Edward , Jeffrey Elcock
In heterogeneous computing environments, finding optimized solutions continues to be one of the most important and yet, very challenging problems. Task scheduling in such environments is NP-hard, so efficient mapping of tasks to the processors remains one of the most critical issues to be tackled. For several types of applications, the task scheduling problem is crucial, and across the literature, a number of algorithms with several different approaches have been proposed. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the capabilities of ant colonies to find the shortest paths between their nests and food sources. Consequently, we propose an ACO-based algorithm, called rACS, as a solution to the task scheduling problem. Our algorithm utilizes pheromone and a priority-based heuristic, known as the upward rank value, as well as an insertion-based policy and a pheromone aging mechanism to guide the ants to high quality solutions. To evaluate the performance of our algorithm, we compared our algorithm with the ACS algorithm and the ACO-TMS algorithm using randomly generated directed acyclic graphs (DAGs). The simulation results indicated that our algorithm experienced comparable or even better performance, than the selected algorithms.
Volume: 10
Issue: 1
Page: 320-329
Publish at: 2018-04-01

Bayesian Segmentation in Signal with Multiplicative Noise Using Reversible Jump MCMC

10.12928/telkomnika.v16i2.7510
Suparman; Universitas Ahmad Dahlan Suparman , Michel; Signal and Communications Group, ENSEEIHT Doisy
This paper proposes the important issues in signal segmentation. The signal is disturbed by multiplicative noise where the number of segments is unknown. A Bayesian approach is proposed to estimate the parameter. The parameter includes the number of segments, the location of the segment, and the amplitude. The posterior distribution for the parameter does not have a simple equation so that the Bayes estimator is not easily determined. Reversible Jump Markov chain Monte Carlo (MCMC) method is adopted to overcome the problem. The Reversible Jump MCMC method creates a Markov chain whose distribution is close to the posterior distribution. The performance of the algorithm is shown by simulation data. The result of this simulation shows that the algorithm works well. As an application, the algorithm is used to segment a Synthetic Aperture Radar (SAR) signal. The advantage of this method is that the number of segments, the position of the segment change, and the amplitude are estimated simultaneously.
Volume: 16
Issue: 2
Page: 673-680
Publish at: 2018-04-01
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