Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

28,451 Article Results

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

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

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

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

Fuzzified Single Phase Automatic Sequential Reactive Power Compensation with Minimized Switches

10.12928/telkomnika.v16i2.9024
K.; Multimedia University Shashikumar , C.; Multimedia University Venkataseshaiah , K. S.; Multimedia University Sim
The current rapid growth in IoT technology facilitates the effortless implementation of bidirectional remote monitoring and control system implementation in homes and buildings. We have modeled an actual non-intrusive PnP sequential SVC prototype hardware and wireless FLC automation software design on a real single phase home appliances system as load modeling. In addition, we have also designed a novel Unidirectional MOSFET Switched Capasitor model (UniMosSC) which enables us to reduce the hardware cost and increase the life span of SVC due it uses minimum switching devices. The system we have designed is able to correct the power factor at the root of the problem at each appliance. Due to complexity of appliance clustering and overlapping clusters, we implemented fuzziness in the system for more reliability in computations. The system could be used in homes or buildings resulting in electricity bill reduction, saving dollars and cents.
Volume: 16
Issue: 2
Page: 889-899
Publish at: 2018-04-01

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

Design and Analysis of Ku/K-band Circular SIW Patch Antenna using 3D EM-based Artificial Neural Networks

10.12928/telkomnika.v16i2.8011
Mohammed; Aboubekr Belkaid University of Tlemcen Chetioui , Abdelhakim; Aboubekr Belkaid University of Tlemcen Boudkhil , Nadia; Aboubekr Belkaid University of Tlemcen Benabdellah , Nasreddine; Aboubekr Belkaid University of Tlemcen Benahmed
Substrate Integrated Waveguide (SIW) antennas are considered as main radiators for RF and microwave wireless systems due to their low profile, low cost and soft integration with the other devices. The gain of a SIW patch antenna may be enhanced using different techniques such as Artificial Neural Networks (ANN) by modifying the antenna’s geometry with high efficiency comparing to electromagnetic techniques that take more time. This paper describes a novel structure of a circular SIW patch antenna design using a tree-dimensional electromagnetic (3D-EM) simulation based on ANN model which is developed as an accurate tool for synthesizing the forward side and then analyzing the reverse side of the problem. In this work, ANN algorithms are used for training the samples to provide precise geometrical dimensions of the SIW patch antenna with high accuracy for the target requirements. The antenna is designed to operate in Ku and K frequency bands, resonate at 16.10 GHz and 19.81 GHz respectively and show good performance resulting in low return losses of less than -10dB to -29dB for the selective frequency bands.
Volume: 16
Issue: 2
Page: 594-599
Publish at: 2018-04-01

Quality Translation Enhancement Using Sequence Knowledge and Pruning in Statistical Machine Translation

10.12928/telkomnika.v16i2.8687
Media A.; Sampoerna University Ayu , Teddy; Sampoerna University Mantoro , Jelita; Surya University Asean
Machine translation has two important parts, a learning process which followed by a translation process. Unfortunately, most of the translation process requires complex operations and in-depth knowledge of the languages in order to give a good quality translation. This study proposes a better approach, which does not require in-depth knowledge of the linguistic properties of the languages, but it produces a good quality translation. This study evaluated 28 different parameters in IRSTLM language modeling, which resulting 270 millions experiments, and proposes a sequence evaluation mechanism based on a maximum evaluation of each parameter in producing a good quality translation based on NIST and BLEU. The parallel corpus and statistical machine learning for English and Bahasa Indonesia were used in this study. The pruning process, user interface, and the personalization of translation have a very important role in implementing of this machine translation. The result is quite promising. It shows that pruning process increases of the translation process time. The particular sequence knowledge/value parameter in translation process has a better performance than the other method using in-depth linguistic knowledge approaches. All these processes, including the process of parsing from a stand-alone mode to an online mode, are also discussed in detail.
Volume: 16
Issue: 2
Page: 718-727
Publish at: 2018-04-01

Balancing Trade-off between Data Security and Energy Model for Wireless Sensor Network

10.11591/ijece.v8i2.pp1048-1055
Manjunath B. E. , P. V. Rao
An extensive effort to evolve various routing protocol to ensure optimal data delivery in energy efficient way is beneficial only if there is additional means of security process is synchronized. However, the security process consideration introduces additional overhead thus a security mechanism is needed to accomplish an optimal trade-off that exists in-between security as well as resource utilization especially energy. The prime purpose of this paper is to develop a process of security in the context of wireless sensor networks (WSN) by introducing two types of sensor node deployed with different capabilities. The proposed algorithm Novel Model of Secure Paradigm (N-MSP) which is further integrated with WSN. However, this algorithm uses a Hash-based Message Authentication Code (HMAC) authentication followed by pairwise key establishment during data aggregation process in a WSN. The extensive simulation carried out in a numerical platform called MATLAB that depicts that the proposed N-MSP achieves optimal processing time along with energy efficient pairwise key establishment during data aggregation process
Volume: 8
Issue: 2
Page: 1048-1055
Publish at: 2018-04-01
1 2 3
...
1896 1897
Show 1366 of 1897

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration