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28,188 Article Results

Anomalies Detection Based on the ROC Analysis using Classifiers in Tactical Cognitive Radio Systems: A survey

10.11591/ijai.v5.i3.pp105-116
Ahmed Moumena
Receiver operating characteristic (ROC) curve is an important technique for organizing classifiers and visualizing their performance in tactical systems in the presence of jamming signal. ROC curves are commonly used to evaluate the performance of classifiers for anomalies detection. This paper gives a survey of ROC analysis based on the anomaly detection using classifiers for using them in research. In recent years have been increasingly adopted in the machine learning and data mining research communities. This survey gives definitions of the anomaly detection theory and how to use one ROC curve, what a ROC curve, when we use ROC curves.
Volume: 5
Issue: 3
Page: 105-116
Publish at: 2016-09-01

A Sentiment Knowledge Discovery Model in Twitter’s TV Content Using Stochastic Gradient Descent Algorithm

10.12928/telkomnika.v14i3.2671
Lira; Bogor Institute of Agriculture Ruhwinaningsih , Taufik; Bogor Institute of Agriculture Djatna
The use of social media that the explosive can be a rich source for data mining. Meanwhile, the development of television programs become increased and varied so motivate people to make comments on it’s via social media. Social network contains abundant information which is unstructured, heterogeneous, high dimensional and incremental in nature. Abundant data can be a rich source of information but it is difficult to identify manually. The contributions of this research are to perform preprocessing to address unstructured data, a lot of noise and heterogeneous; find patterns of information and knowledge of social media user activities in the form of positive and negative sentiment on twitter TV content. Some methodologies and techniques are used to perform preprocessing. They are eliminates punctuation and symbols, eliminates number, replace numbers into letters, translation of Alay words, eliminate stop word and Stemming Porter Algorithm. Methodology of this study was used Stochastic Gradient Descent (SGD).The text that has been through preprocessing produces a more structured text, reducing noise and reducing the diversity of text. So, preprocessing affect to the correctly classified istances and processing time. The experiment results reveal that the use of SGD for discovery of the positive and negative sentiment tends to be faster for large data or stream data. Correctly classified instance with a maximum of 88%.
Volume: 14
Issue: 3
Page: 1067-1076
Publish at: 2016-09-01

Quasi-Newton Method for Absolute Value Equation Based on Upper Uniform Smoothing Approximation

10.12928/telkomnika.v14i3.3785
Longquan; Shaanxi University of Technology Yong , Shouheng; Shaanxi University of Technology Tuo
In this paper, an upper uniform smooth approximation function of absolute value function is proposed, and some properties of uniform smooth approximation function are studied. Then, absolute value equation (AVE), Ax - |x| = b, where A is a square matrix whose singular values exceed one, is transformed into smooth optimization problem by using the upper uniform smooth approximation function, and solved by quasi-Newton method. Numerical results in solving given AVE problems demonstrated that our algorithm is valid and superior to lower uniform smooth approximation function.
Volume: 14
Issue: 3
Page: 1134-1141
Publish at: 2016-09-01

Medical Image Contrast Enhancement via Wavelet Homomorphic Filtering Transform

10.12928/telkomnika.v14i3.3118
Xinmin; Hunan University of Commerce Zhou , Ying; Tongji University Zheng , Lina; Hunan University of Commerce Tan , Junchan; Hunan University of Commerce Zhao
A novel enhancement algorithm for magnetic resonance (MR) images based on spatial homomorphic filtering transform is proposed in this paper. By this method, the source image is decomposed into different sub-images by dyadic wavelet transform. Homomorphic filtering functions are applied in performing filtering of corresponding sub-band images to attenuate the low frequencies as well as amplify the high frequencies, and a linear adjustment is carried out on the low frequency of the highest level. Later, inverse dyadic wavelet transform is applied to reconstruct the object image. Experiment results on MR images illustrate that the proposed method can eliminate non-uniformity luminance distribution effectively, some subtle tissues can be improved effectually, and some weak sections have not been smoothed by the novel method. 
Volume: 14
Issue: 3
Page: 1203-1212
Publish at: 2016-09-01

Critical Condition in CuInAlSe2 Growth of Solar Cell Absorber

10.12928/telkomnika.v14i3.3644
Sujarwata; Universitas Negeri Semarang Sujarwata , Fianti; Universitas Negeri Semarang Fianti , J.Y.; Yeungnam University Jung , S.H.; Yeungnam University Lee , K.H.; Yeungnam University Kim , M.I.; Lembaga Ilmu Pengetahuan Indonesia Amal
CuInAlSe2 (CIAS) thin films were prepared using pulsed laser deposition (PLD) and selenization. The PLD process utilized a certain kind of stacking order to deposit elemental films on glass substrates, layer by layer, for precursor preparation. They were designed to be Al- and Cu-deficient and selenized using two different heat treatment steps. According to its precursor compositional ratio, stacking order, and heat treatment, each CIAS film showed different properties and a critical condition. The crystalline phases, compositional ratio, morphology, and optical-electrical properties of the CIAS films are discussed here.   
Volume: 14
Issue: 3
Page: 867-872
Publish at: 2016-09-01

A Novel Selective and Sensitive Electrochemical Sensor for Insulin Detection

10.11591/ijeecs.v3.i3.pp496-502
Zulkarnain Zulkarnain , Suprapto Suprapto , Taslim Ersam , Fredy Kurniawan
A novel selective and sensitive electrochemical sensor for insulin detection has been fabricated and investigated. The electrochemical sensor was made from a mixture of silica gel, chitosan and nickel hydroxide (Ni(OH)2) nanoparticles, which was mounted on a silver wire and covered by a glass tube (silica gel/chitosan/Ni(OH)2 nanoparticles paste electrode). The sensor was characterized using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The anodic and cathodic currents of the silica gel/chitosan paste electrode with Ni(OH)2 are 580 mA and -750 mA, respectively. Without Ni(OH)2, however, the currents are 150 mA and -250 mA, respectively. The sensitivity and limit of detection of the silica gel/chitosan/Ni(OH)2 nanoparticle paste electrode for insulin detection are 5573 × 10­5pA/pMcm2 and 0.25 pM, respectively. The sensor also shows good reproducibility of measurement for 35 days with an RSD of 0.29%. The fabricated electrodes also show good reproducibility, with an RSD of 1.39%.
Volume: 3
Issue: 3
Page: 496-502
Publish at: 2016-09-01

Comparison of various channel equalization techniques in OFDM system using different digital modulations

10.11591/ijeecs.v3.i3.pp634-638
Pratima Manhas , M.K. Soni
The nature of future wireless applications requires high data rates and for this OFDM technique is used. OFDM stands for orthogonal frequency division multiplexing and is a type of multi-carrier transmission where all the subcarriers are orthogonal to each other. At high data rates, the channel distortion to the data is very important and it is somewhat impossible to recover the transmitted data with a simple receiver. So a complex receiver structure is needed which uses computationally expensive equalization and channel estimation algorithms to estimate the channel. These estimations can be used within the received data to recover the originally transmitted data. OFDM can simplify the equalization problem by changing the frequency-selective channel into a flat channel. The radio channels in mobile radio systems are usually multipath fading channels that results in intersymbol interference (ISI) in the received signal. To remove ISI from the signal, many kind of equalizers can be used. The need for equalizers arises from the fact that the channel has amplitude and phase dispersion which results in the interference of the transmitted signals with one another which is known as ISI .So, to solve this problem equalizers are designed. Equalizer is intend to work in such a way that Bit Error Rate (BER) should be low and Signal-to-Noise Ratio (SNR) should be high. An equalizer within a receiver compensates for the average range of expected channel amplitude and delay characteristics. This paper deals with the various equalization techniques (LMS, RLS and CMA) used for OFDM system .A comparative analysis of different equalization technique in terms of BER is done using MATLAB Simulink.
Volume: 3
Issue: 3
Page: 634-638
Publish at: 2016-09-01

Multi-Criteria in Discriminant Analysis to Find the Dominant Features

10.12928/telkomnika.v14i3.3472
Arif; University of Trunojoyo Muntasa , Indah Agustien; University of Trunojoyo Siradjuddin , Rima; University of Trunojoyo Tri Wahyuningrum
A crucial problem in biometrics is enormous dimensionality. It will have an impact on the costs involved. Therefore, the feature extraction plays a significant role in biometrics computational. In this research, a novel approach to extract the features is proposed for facial image recognition. Four criteria of the Discriminant Analysis have been modeled to find the dominant features. For each criterion is an objective function, it was derived to obtain the optimum values. The optimum values can be solved by using generalized the Eigenvalue problem associated to the largest Eigenvalue. The modeling results were employed to recognize the facial image by the multi-criteria projection to the original data. The training sets were also processed by using the Eigenface projection to avoid the singularity problem cases. The similarity measurements were performed by using four different methods, i.e. Euclidian Distance, Manhattan, Chebyshev, and Canberra.  Feature extraction and analysis results using multi-criteria have shown better results than the other appearance method, i.e. Eigenface (PCA), Fisherface (Linear Discriminant Analysis or LDA), Laplacianfaces (Locality Preserving Projection or LPP), and Orthogonal Laplacianfaces (Orthogonal Locality Preserving Projection or O-LPP). 
Volume: 14
Issue: 3
Page: 1113-1122
Publish at: 2016-09-01

Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring

10.12928/telkomnika.v14i3.3589
Shuguang; Jiangmen Polytechnic Wu , Yiqing; Jiangmen Polytechnic Zhou
Owing to its diverse, the stability of arc signals in high-powered submerged arc welding is not very salient, and weld defects are difficult to detect automatically. Aimed at this problem, this paper proposes a noise robustness algorithm for calibrating the singularity points and denoting the kinetics and stability of arc. Firstly, reconstruct a vector, which is the calculation of the approximate entropy in phase space, denotes the distortion of arc. Then, a algorithm for calculation is given based on reconstruction of chaotic time series in phase space. Finally, we apply the calculation of approximate entropy algorithm in phase space to flaw detection for arc signals, which is efficient proved by experimental results.
Volume: 14
Issue: 3
Page: 948-955
Publish at: 2016-09-01

Image Retrieval Based on Multi Structure Co-occurrence Descriptor

10.12928/telkomnika.v14i3.3292
Agus Eko; Universitas Muhammadiyah Malang Minarno , Arrie; Universitas Islam Indonesia Kurniawardhani , Fitri; Universitas Mataram Indonesia Bimantoro
This study present a new technique for Batik cloth image retrieval using Micro-Structure Co-occurence Descriptor (MSCD). MSCD is a developed method based on Enhanced Micro Structure Descriptor (EMSD). Previously, EMSD has been improved by adding edge orientation feature. In previous study, EMSD cannot achieve an optimal precision. Therefore, MSCD is proposed to overcome the EMSD drawback using global feature approach, namely Gray Level Co-occurrence Matrix (GLCM). There are 300 batik cloth images which contain 50 classes used for dataset. The performance result show that MSCD can retrieve Batik cloth images more effective than EMSD.
Volume: 14
Issue: 3
Page: 1175-1182
Publish at: 2016-09-01

Recognition of Odor Characteristics Based on BP Neural Network

10.12928/telkomnika.v14i3.3712
Wu; College of Information Engineering, Inner Mongolia University of Technology Lei , Fang; College of Information Engineering, Inner Mongolia University of Technology Jiandong , Zhao; Inner Mongolia Agriculture and Animal Husbandry Information Center, Yudong
This paper introduces the basic principle and calculation steps of BP neural network algorithm for classification and prediction of odor characteristic parameters. Using the PEN3 electronic nose collects the volatile components of milk and programming BP neural network algorithm under MATLAB condition. This paper validate the use of BP neural network algorithm on milk quality prediction is effective.
Volume: 14
Issue: 3
Page: 956-962
Publish at: 2016-09-01

Nurses Scheduling by Considering the Qualification using Integer Linear Programming

10.12928/telkomnika.v14i3.2913
Maya; Bogor Agricultural University Widyastiti , Amril; Bogor Agricultural University Aman , Toni; Bogor Agricultural University Bakhtiar
One of problems that frequently occurs in hospital management is nurses scheduling problem. A suitable schedule is needed in order to avoid fatigue, both physically and psychologically, which subsequently may deteriorate their performance. Nurse scheduling is commonly designed by the head of nurse manually. In this research, nurse scheduling problem is modeled by considering the qualification of the nurses and the model has the form of integer linear programming. The objective of the model is to maximize the number of nurse’s day-offs. Then optimization problem is implemented to nurses scheduling in the High Care Unit and the Emergency room of Rumah Sehat Terpadu Dompet Dhuafa Parung Bogor.
Volume: 14
Issue: 3
Page: 933-940
Publish at: 2016-09-01

MRI Sagittal Image Segmentation from Patients with Abdominal Aortic Aneurysms

10.12928/telkomnika.v14i3.3520
Desti; Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia Riminarsih , Cut Maisyarah; Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia Karyati , Achmad Benny; Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia Mutiara , Bambang; Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia Wahyudi , E.; Faculty of Industrial Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia Ernastuti
Early detection in patients with abdominal aortic aneurysm (AAA) is esdential to reduce the risk of rupture of aortic wall that causes bleeding and often lead to death. Information about the condition of AAA is indispendable to complete the diagnosis of doctors in decision making. The position and shape of AAA can be obtained by sagittal image from an MRI examination. Characteristics of MRI sagittal image are having a gray level that is almost teh same between one organ to another. Therefore, to separate between one organ to another is difficult. This research is conducted MRI sagittal iamge segmentation in patients to obtain information on morphology and location of abdominal aortic aneurysm (AAA). To Segmenting the MRI Image we comobine thresholding method and Haralick Method. Under this proposed method, obtained sagittal images of the aorta are used to gain information about the location and shape of the aneurysm in abdominal aorta.
Volume: 14
Issue: 3
Page: 1105-1112
Publish at: 2016-09-01

Design and Fabrication of Compact MEMS Electromagnetic Micro-Actuator with Planar Micro-Coil Based on PCB

10.12928/telkomnika.v14i3.3998
Roer Eka; Universiti Kebangsaan Malaysia Pawinanto , Jumril; Universiti Kebangsaan Malaysia Yunas , Burhanuddin; Universiti Kebangsaan Malaysia Majlis , Azrul; Universiti Kebangsaan Malaysia Hamzah
This paper reports a compact design of electromagnetically driven MEMS micro-actuator utilizing planar electromagnetic coil on PCB (Printed Circuit Board). The micro-actuator device consists of an NdFeB permanent magnet, thin silicon membrane and planar micro-coil which fabricated using simple standard MEMS techniques with additional bonding step. Two planar coils designs including planar parallel and spiral coil structure with various coil geometry are chosen for the study. Analysis of the device involves the investigation of electromagnetic and mechanical properties using finite element analysis (FEA), the measurement of the membrane deflection and functionality test. The measurement results show that the thin silicon membrane is able to deform as much as 12.87 µm using planar spiral micro-coil. Reasonable match between simulation and measurement of about 82.5% has been revealed. The dynamic response test on actuator driven by parallel planar coil shows that silicon membrane effectively deformed in 40 s for an input electrical power of only 150 mW. It is also concluded that planar parallel coil is considered for the simple structure and easy fabrication of the actuator system. This study will provide important parameters for the development of compact and simple electromagnetic micro-actuator system for fluidic injection system in lab-on-chip.
Volume: 14
Issue: 3
Page: 856-866
Publish at: 2016-09-01

Wireless Sensor Network Design based on Hybrid Tree-Like Mesh Topology as a New Platform for Air Pollution Monitoring System

10.12928/telkomnika.v14i3.2279
Muhammad; AMIK Teknokrat Iqbal , Muhammad; Bogor Agricultural University Fuad , Heru; Bogor Agricultural University Sukoco , Husin; Bogor Agricultural University Alatas
In this paper, we propose a new platform for air pollution monitoring system based on wireless sensor network (WSN) with Tree-like Mesh topology. We used ZigBee device and General Packet Radio Service (GPRS) for data transfer protocol. The results of a conducted test showed a good performance in delivering data in real time mode. We found that the fewer hop produced higher throughput but lower delay and packet loss ratio. The system performance demonstrated that the reduction of one hop increased 32.06% of throughput, decreased 23.28% of delay and 0.01% of packet loss ratio.In this paper, we propose a new platform for air pollution monitoring system based on wireless sensor network (WSN) with Tree-like Mesh topology. We used ZigBee device and General Packet Radio Service (GPRS) for data transfer protocol. The results of a conducted test showed a good performance in delivering data in real time mode. We found that the fewer hop produced higher throughput but lower delay and packet loss ratio. The system performance demonstrated that the reduction of one hop increased 32.06% of throughput, decreased 23.28% of delay and 0.01% of packet loss ratio
Volume: 14
Issue: 3
Page: 1166-1174
Publish at: 2016-09-01
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