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31,456 Article Results

Research and Application of Development Model of Information Service for IOT of Oil and Gas Production Based on Cloud Architecture

10.12928/telkomnika.v15i3.5510
Wu; Research Institute of Petroleum Exploration & Development-Northwest Haili , Gong; Research Institute of Petroleum Exploration & Development-Northwest Renbin , Wang; Research Institute of Petroleum Exploration & Development-Northwest Congbin , Gong; Research Institute of Petroleum Exploration & Development-Northwest Lei
On completion of oil and gas production IOT system application system needs expanding and secondary problems such as software development integration service, this paper proposes a scalable cloud platform(called A11-PaaS) based on middleware and ESB(Enterprise service bus). The platform realizes that managmant of ESB, controls the service request access on the ESB with the LDAP, use the WAS profile as a sandbox for the development, combine with the Maven plug-in and Nexus, realize the unified management of the secondary development, testing, and deployment of the new system and achieve the purpose of rapid development. The platform has been deployed in some oil company, the experimental results show that this technology has achieved rapid development, integrated the web service from IOT system, and provide effective method to integrate other application system.
Volume: 15
Issue: 3
Page: 1416–1424
Publish at: 2017-09-01

Improving DNA Barcode-based Fish Identification System on Imbalanced Data using SMOTE

10.12928/telkomnika.v15i3.5011
Wisnu Ananta; Department of Computer Science, Bogor Agricultural University Kusuma , Nurdevi; Department of Computer Science, Bogor Agricultural University Noviana , Lailan Sahrina; Department of Computer Science, Bogor Agricultural University Hasibuan , Mala; Department of Aquatic Product Technology, Bogor Agricultural University Nurilmala
Problem in imbalanced data is very common in classification or identification. The problem is raised when the number of instances of one class far exceeds the other. In the previous research, our DNA barcode-based Identification System of Tuna and Mackerel was developed in imbalanced dataset. The number of samples of Tuna and Mackerel were much more than those of other fish samples. Therefore, the accuracy of the classification model was probably still in bias. This research aimed at employing Synthetic Minority Oversampling Technique (SMOTE) to yield balanced dataset. We used k-mers frequencies from DNA barcode sequences as features and Support Vector Machine (SVM) as classification method. In this research we used trinucleotide (3-mers) and tetranucleotide (4-mers). The training dataset was taken from Barcode of Life Database (BOLD). For evaluating the model, we compared the accuracy of model using SMOTE and without SMOTE in order to classify DNA barcode sequences which is taken from Department of Aquatic Product Technology, Bogor Agricultural University. The results showed that the accuracy of the model in the species level using SMOTE was 7% and 13% higher than those of non-SMOTE for trinucleotide (3-mers) and tetranucleotide (4-mers), respectively. It is expected that the use of SMOTE, as one of data balancing technique, could increase the accuracy of DNA barcode based fish classification system, particularly in the species level which is difficult to be identified.
Volume: 15
Issue: 3
Page: 1230-1238
Publish at: 2017-09-01

An Approch based on Genetic Algorithm for Multi-tenant Resource Allocation in SaaS Applications

10.11591/ijai.v6.i3.pp124-138
Elaheh kheiri , Mostafa Ghobaei Arani , Alireza Taghizadeh
In recent years, the use of cloud services has been significantly expanded. The providers of software as a service employ multi-tenant architectures to deliver services to their users. In these multi-tenant applications the resource allocation would suffer from over-utilization or under-utilization issues. Considering the significant effects of resource allocation on the service performance and cost, in this paper we have proposed an approach based on genetic algorithm for resource allocation which guarantees service quality through providing adequate resources. The proposed approach also improves system performance, meets the requirements of users and provides maximum resource efficiency. Simulation results show that the proposed approach has better response rate and availability comparing to other approaches, while provides an efficient resource usage.
Volume: 6
Issue: 3
Page: 124-138
Publish at: 2017-09-01

A Review on Methods of Identifying and Counting Aedes Aegypti Larvae using Image Segmentation Technique

10.12928/telkomnika.v15i3.6422
Mohamad Aqil; Universiti Teknikal Malaysia Melaka Mohd Fuad , Mohd Ruddin; Universiti Teknikal Malaysia Melaka Ab Ghani , Rozaimi; Universiti Teknikal Malaysia Melaka Ghazali , Mohamad Fani; Universiti Teknikal Malaysia Melaka Sulaima , Mohd Hafiz; Universiti Teknikal Malaysia Melaka Jali , Tole; Universitas Ahmad Dahlan Sutikno , Tarmizi; Universiti Teknikal Malaysia Melaka Ahmad Izzuddin , Zanariah; Universiti Teknikal Malaysia Melaka Jano
Aedes aegypti mosquitoes are a small slender fly insect that spreads the arbovirus from flavivirus vector through its sucking blood. An early detection of this species is very important because once these species turn into adult mosquitoes a population control becomes more complicated. Things become worse when difficult access places like water storage tank becomes one of the breeding favorite places for Aedes aegypti mosquitoes. Therefore, there is a need to help the field operator during the routine inspection for an automated identification and detection of Aedes aegypti larvae, especially at difficult access places. This paper reviews different methodologies that have been used by various researchers in identifying and counting Aedes aegypti. The objective of the review was to analyze the techniques and methods in identifying and counting the Aedes Aegypti larvae of various fields of study from 2008 and above by taking account their performance and accuracy. From the review, thresholding method was the most widely used with high accuracy in image segmentation followed by hidden Markov model, histogram correction and morphology operation region growing.
Volume: 15
Issue: 3
Page: 1199-1206
Publish at: 2017-09-01

Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator

10.11591/ijai.v6.i3.pp100-111
Hari Mohan Pandey
The focus of this paper is towards developing a grammatical inference system uses a genetic algorithm (GA), has a powerful global exploration capability that can exploit the optimum offspring. The implemented system runs in two phases: first, generation of grammar rules and verification and then applies the GA’s operation to optimize the rules. A pushdown automata simulator has been developed, which parse the training data over the grammar’s rules. An inverted mutation with random mask and then ‘XOR’ operator has been applied introduces diversity in the population, helps the GA not to get trapped at local optimum. Taguchi method has been incorporated to tune the parameters makes the proposed approach more robust, statistically sound and quickly convergent. The performance of the proposed system has been compared with: classical GA, random offspring GA and crowding algorithms. Overall, a grammatical inference system has been developed that employs a PDA simulator for verification.
Volume: 6
Issue: 3
Page: 100-111
Publish at: 2017-09-01

Power Loss Minimization in Radial Distribution Networks Using Reconfiguration and DGs

10.11591/ijeecs.v7.i3.pp583-592
Sarfaraz Nawaz , Ajay Kumar Bansal , Mahaveer Prasad Sharma
A novel approach is proposed in this paper to achieve the objective of real power loss minimization and voltage profile enhancement. Network reconfiguration and allocation of various DG units are used to meet the objective. Selective particle swarm Optimization (SPSO) and novel analytical techniques are used to solve the problem of network reconfiguration and allocation of DG units simultaneously.  A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed to solve the allocation problem. The formulated mathematical expression (PVSC) determines site and size of DG units.  The level of DG penetration is considered in a range of 0–50% of total system load. A novel index is also proposed which incorporates level of DG penetration and % reduction in real power losses. Standard 69 bus system is used to validate the results obtained by proposed hybrid approaches. To show the efficacy and strength of the proposed hybrid approach, it has been compared with various techniques
Volume: 7
Issue: 3
Page: 583-592
Publish at: 2017-09-01

Neural Network-Based Stabilizer for the Improvement of Power System Dynamic Performance

10.12928/telkomnika.v15i3.3875
Rudy; Tanjungpura University Gianto , Kho; Tanjungpura University Hie Khwee
This paper develops an adaptive control coordination scheme for power system stabilizers (PSSs) to improve the oscillation damping and dynamic performance of interconnected multimachine power system. The scheme was based on the use of a neural network which identifies online the optimal controller parameters. The inputs to the neural network include the active- and reactive- power of the synchronous generators which represent the power loading on the system, and elements of the reduced nodal impedance matrix for representing the power system configuration. The outputs of the neural network were the parameters of the PSSs which lead to optimal oscillation damping for the prevailing system configuration and operating condition. For a representative power system, the neural network has been trained and tested for a wide range of credible operating conditions and contingencies. Both eigenvalue calculations and time-domain simulations were used in the testing and verification of the performance of the neural network-based stabilizer.
Volume: 15
Issue: 3
Page: 984-994
Publish at: 2017-09-01

A Crop Pests Image Classification Algorithm Based on Deep Convolutional Neural Network

10.12928/telkomnika.v15i3.5382
RuJing; Chinese Academy of Sciences Wang , Jie; Chinese Academy of Sciences Zhang , Wei; Anhui Academy of Agricultural Sciences Dong , Jian; Chinese Academy of Sciences Yu , ChengJun; Chinese Academy of Sciences Xie , Rui; Chinese Academy of Sciences Li , TianJiao; Chinese Academy of Sciences Chen , HongBo; Chinese Academy of Sciences Chen
Conventional pests image classification methods may not be accurate due to the complex farmland background, sunlight and pest gestures. To raise the accuracy, the deep convolutional neural network (DCNN), a concept from Deep Learning, was used in this study to classify crop pests image. On the ground of our experiments, in which LeNet-5 and AlexNet were used to classify pests image, we have analyzed the effects of both convolution kernel and the number of layers on the network, and redesigned the structure of convolutional neural network for crop pests. Further more, 82 common pest types have been classified, with the accuracy reaching 91%. The comparison to conventional classification methods proves that our method is not only feasible but preeminent.
Volume: 15
Issue: 3
Page: 1239-1246
Publish at: 2017-09-01

Effect of Pump Dithering at Each Stage of Cascaded Fiber Optical Parametric Amplifier

10.12928/telkomnika.v15i3.7212
Fatin; Universiti Tun Hussein Onn Malaysia Nabilah Mohamad Salleh , Nor; Universiti Tun Hussein Onn Malaysia Shahida Mohd Shah , Nurulanati; Universiti Tun Hussein Onn Malaysia Othman , Rahmat; Universiti Tun Hussein Onn Malaysia Talib , Munirah; Universiti Tun Hussein Onn Malaysia Ab. Rahman
Cascaded fiber optical parametric amplifier (FOPA) can enhance gain and bandwidth. The gain and bandwidth can be further enhanced by dithering the FOPA pump. However, to our knowledge, the effects of a pump dithering at every stage of cascaded FOPA have not been discussed. The study of performance at every stage of cascaded FOPA is quite interesting and beneficial in designing the system. Here, we analyzed, using OptiSystem software, each stage of a cascaded FOPA, when there was a pump dithering and not. The results showed that the pump dithering enhanced the gain and broaden the bandwidth at every stage. The gain and bandwidth obtained with the pump dithering were 27 dB and 20 nm, respectively. On the other hand, when there was no pump dithering, the gain and bandwidth were 9 dB and 12 nm, respectively.
Volume: 15
Issue: 3
Page: 1440–1445
Publish at: 2017-09-01

Noise Analysis in VLC Optical Link based Discrette OP-AMP Trans-impedance Amplifier (TIA)

10.12928/telkomnika.v15i3.5737
Syifaul; Microelectronic Center Institut Teknologi Bandung (ITB) Fuada , Trio; Microelectronic Center, Institut Teknologi Bandung (ITB) Adiono , Angga Pratama; Microelectronic Center, Institut Teknologi Bandung (ITB) Putra , Yulian; Microelectronic Center, Institut Teknologi Bandung (ITB) Aska
To design Visible Light Communication (VLC) system, there are several requirements that needs to be met. One of the requirements is an active component selection (e.g. Op Amp). As an ideal communication system, VLC system has to be able to provides wide bandwidth access with minimum noise. The Transimpedance amplifiers (TIAs) is one of main components in optical system which is placed in the first stage of receiver system. It is used to convert the current output from photodiode to voltage. We have designed a 1 MHz fGBW TIA with low noise (in μVrms range). This paper aims to explain the design and implementation of TIA circuit with photovoltaic topology which cover empirical calculations and simulation of TIA’s bandwidth and its noise sources, i.e. resistor feedback noise, current noise, voltage noise and total noise based on RSS. The OP-AMP is chosen from Texas Instruments product, OPA 380, and photodiode is chosen from OSRAM, SFH213, then simulated by TINA-TI SPICE® software. The noise in TIA circuit is analyzed clearly. The developed kit is ready to be implemented in VLC system.
Volume: 15
Issue: 3
Page: 1012-1021
Publish at: 2017-09-01

Twitter’s Sentiment Analysis on Gsm Services using Multinomial Naïve Bayes

10.12928/telkomnika.v15i3.4284
Aisah Rini; Bogor Agricultural University Susanti , Taufik; Bogor Agricultural University Djatna , Wisnu Ananta; Bogor Agricultural University Kusuma
Telecommunication users are rapidly growing each year. As people keep demanding a better service level of Short Message Service (SMS), telephone or data use, service providers compete to attract their customer, while customer feedbacks in some platforms, for example Twitter, are their souce of information. Multinomial Naïve Bayes Tree, adapted from the method of Multinomial Naïve Bayes and Decision Tree, is one technique in data mining used to classify the raw data or feedback from customers.Multinomial Naïve Bayes method used specifically addressing frequency in the text of the sentence or document. Documents used in this study are comments of Twitter users on the GSM telecommunications provider in Indonesia.This research employed Multinomial Naïve Bayes Tree classification technique to categorize customers sentiment opinion towards telecommunication providers in Indonesia. Sentiment analysis only included the class of positive, negative and neutral. This research generated a Decision Tree roots in the feature "aktif" in which the probability of the feature "aktif" was from positive class in Multinomial Naive Bayes method. The evaluation showed that the highest accuracy of classification using Multinomial Naïve Bayes Tree (MNBTree) method was 16.26% using 145 features. Moreover, the Multinomial Naïve Bayes (MNB) yielded the highest accuracy of 73,15% by using all dataset of 1665 features. The expected benefits in this research are that the Indonesian telecommunications provider can evaluate the performance and services to reach customer satisfaction of various needs.
Volume: 15
Issue: 3
Page: 1354-1361
Publish at: 2017-09-01

Estimation of Optimum Number of Poles for Random Signal by Yule-Walker Method

10.12928/telkomnika.v15i3.6103
Ahmed Al; Uttara University Amin , Md. Shoriful; Uttara University Islam , K.M. Abdul; Uttara University Al Woadud , Md. Jahirul; Uttara University Islam , Md. Imrul; Uttara University Kayes
The Yule-Walker method is an effective method to estimate the system response or spectrum for random signal. Hence most of the noise and spurious signals are random in nature, so it is very convenient to estimate their spectrum by Yule-Walker method successfully. The Yule-Walker method is an autoregressive process to estimate the poles and errors also based on the number of poles for Wide Sense Stationary (WSS) process as well. Moreover the value of zero will be correspondingly calculated based on the poles in case of all poles model. The main concern of this paper is to analyze the Yule-Walker method and estimate the poles and zero along with the error based on the number of poles for a random signal. Moreover analyze the results to find out the optimum number of poles for least possible error.
Volume: 15
Issue: 3
Page: 1192-1198
Publish at: 2017-09-01

Binarization of Ancient Document Images based on Multipeak Histogram Assumption

10.12928/telkomnika.v15i3.5105
Fitri; Syiah Kuala University Arnia , Khairul; Syiah Kuala University Munadi
In document binarization, text is segmented from the background. This is an important step, since the binarization outcome determines the success rate of the optical character recognition (OCR). In ancient documents, that are commonly noisy, binarization becomes more difficult. The noise can reduce binarization performance, and thus the OCR rate. This paper proposes a new binarization approach based on an assumption that the histograms of noisy documents consist of multipeaks. The proposed method comprises three steps: histogram calculation, histogram smoothing, and the use of the histogram to track the first valley and determine the binarization threshold. In our simulations we used a set of Jawi ancient document images with natural noises. This set is composed of 24 document tiles containing two noise types: show-through and uneven background. To measure performance, we designed and implemented a point compilation scheme. On average, the proposed method performed better than the Otsu method, with the total point score obtained by the former being 7.5 and that of the latter 4.5. Our results show that as long as the histogram fulfills the multipeak assumption, the proposed method can perform satisfactorily. 
Volume: 15
Issue: 3
Page: 1317-1327
Publish at: 2017-09-01

Multi-Operator Genetic Algorithm for Dynamic Optimization Problems

10.11591/ijai.v6.i3.pp139-142
Al-khafaji Amen
Maintaining population diversity is the most notable challenge in solving dynamic optimization problems (DOPs). Therefore, the objective of an efficient dynamic optimization algorithm is to track the optimum in these uncertain environments, and to locate the best solution. In this work, we propose a framework that is based on multi operators embedded in genetic algorithms (GA) and these operators are heuristic and arithmetic crossovers operators. The rationale behind this is to address the convergence problem and to maintain the diversity. The performance of the proposed framework is tested on the well-known dynamic optimization functions i.e., OneMax, Plateau, Royal Road and Deceptive. Empirical results show the superiority of the proposed algorithm when compared to state-of-the-art algorithms from the literature.
Volume: 6
Issue: 3
Page: 139-142
Publish at: 2017-09-01

Miniaturized Minkowski-Island Fractal Microstrip Antenna Fed by Proximity Coupling for Wireless Fidelity Application

10.12928/telkomnika.v15i3.6826
I Putu Elba; Universitas Trisakti Duta Nugraha , Indra; Universitas Trisakti Surjati , Syah; Universitas 17 Agustus 1945 Jakarta Alam
This paper proposed a new design of Minkowski Island microstrip antenna fed by proximity coupling with partial ground plane. The design was consisted of two layers of substrate, on the top substrate was the antenna patch and on the bottom substrate was the proximity feed line and the partial ground. At the first stage, the normal square patch antenna was mainly designed. Then, the Minkowski patch antenna was designed using 1st iteration technique and 2nd iteration technique. The Minkowski fractal shape slot was embedded in the center of the patch to form a Minkowski Island patch antenna. Using the Minkowski Island fractal technique, the dimension of the patch can be reduced up to 58.7%. The proximity feed line in this design was used to increase the impedance bandwidth, and from the measurement the impedance bandwidth of the proposed antenna was 240 MHz with return loss of -24.54 dB and VSWR of 1.126.
Volume: 15
Issue: 3
Page: 1119-1126
Publish at: 2017-09-01
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