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29,820 Article Results

Trend of NFC Technology for Payment Transaction

10.12928/telkomnika.v16i2.8441
Edi Purnomo; Bina Nusantara University Putra , Fifilia; Bina Nusantara University Fifilia , Hanny; Bina Nusantara University Juwitasary
Implementation of NFC Technology was developed to facilitate instant payment transaction such as purchase tickets, goods, or service to become one of the digital wallet besides to using credit cards. The high rate of mobile devices usage in Indonesia make many companies take advantage of this device as a media in electronic payment transactions, a lot of banking and financial product in Indonesia used this technology such as E-money, T-cash, Flazz, Ooredoo, Dompetku, XL-Tunaiku, Doku Wallet, Skye card, Artajasa MYNT and many more. The technique that used in this research to prove the hypotheses was Structural Equation Model (SEM) using Smart PLS software, we will used questionnaire and literature review method to found trend of NFC use. The population from which to draw conclusion was defined as all individual capable use NFC Technology for payment transaction .In this study, we will investigate NFC use in Indonesia, The proposed research model was develop by TAM Framework with some dimension from NFC study iterature that is Mobile Payment Knowledge, Technology, Trust, Behaviour and Compatibility into the model, in order to determine the significant factor that influence of NFC use in Indonesia.
Volume: 16
Issue: 2
Page: 795-802
Publish at: 2018-04-01

Wavelet-Based Weighted Median Filter For Image Denoising Of MRI Brain Images

10.11591/ijeecs.v10.i1.pp201-206
N. Rajalakshmi , K. Narayanan , P. Amudhavalli
Preliminary diagnosing of MRI images from the hospital cannot be relied on because of the chances of occurrence of artifacts resulting in degraded quality of image, while others may be confused with pathology. Obtained MRI image usually contains limited artifacts. It becomes complex one for doctors in analyzing them. By increasing the contrast of an image, it will be easy to analyze. In order to find the tumor part efficiently MRI brain image should be enhanced properly. The image enhancement methods mainly improve the visual appearance of MRI images. The goal of denoising is to remove the noise, which may corrupt an image during its acquisition or transmission, while retaining its quality. In this paper effectiveness of seven denoising algorithms viz. median filter, wiener filter, wavelet filter, wavelet based wiener, NLM, wavelet based NLM, proposed wavelet based weighted median filter(WMF) using MRI images in the presence of additive white Gaussian noise is compared. The experimental results are analyzed in terms of various image quality metrics.
Volume: 10
Issue: 1
Page: 201-206
Publish at: 2018-04-01

PD Behaviors of Monoester Insulating Oil under Different Moisture Contents

10.12928/telkomnika.v16i2.7356
Abdul; Andalas University Rajab , Motoo; Kyushu Institute of Technology Tsuchie , Masahiro; Kyushu Institute of Technology Kozako , Masayuki; Kyushu Institute of Technology Hikita , Takashi; Lion Specialty Chemicals CO., LTD. Suzuki
One of the problems encounters in implementing vegetable oils (natural esters) as a transformer insulating oil is their viscosity which is high. To address this problem, monoester derived from vegetable oil was introduced. This paper deals with partial discharge (PD) behaviors of dry and moist samples of a monoester type insulating oil, palm fatty acid ester (PFAE), under AC high voltage utilizing a needle plane electrode configuration. Variations of average PD charge and PD number against the variation of voltage application, as well as their polarity discrimination under both dry and moist sample conditions are analyzed. PD pulses phase distributions of both dry and moist sample oils are elaborated. Finally, a mechanism of the water molecules effect on PD behavior is proposed based on experimental results and shown schematically.
Volume: 16
Issue: 2
Page: 481-487
Publish at: 2018-04-01

Sensor Fusion Algorithm by Complementary Filter for Attitude Estimation of Quadrotor with Low-Cost IMU

10.12928/telkomnika.v16i2.9020
A.; Universiti Teknikal Malaysia Melaka Noordin , M. A. M.; Universiti Teknologi Malaysia Basri , Z.; Universiti Teknologi Malaysia Mohamed
This paper proposes a sensor fusion algorithm by complementary filter technique for attitude estimation of quadrotor UAV using low-cost MEMS IMU. Angular rate from gyroscope tend to drift over a time while accelerometer data is commonly effected with environmental noise. Therefore, high frequency gyroscope signal and low frequency accelerometer signal is fused using complementary filter algorithm. The complementary filter scaling factor K1=0.98 and K2=0.02 are used to merge both gyro and accelerometer. The results show that the smooth roll, pitch and yaw attitude angle can be obtained from the low cost IMU by using proposed sensor fusion algorithm.
Volume: 16
Issue: 2
Page: 868-875
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

Analyzing the Sea Weather Effects to the Ship Maneuvering in Vietnam’s Sea from BinhThuan Province to Ca Mau Province Based on Fuzzy Control Method

10.12928/telkomnika.v16i2.7753
Xuan Kien; Ho Chi Minh City University of Transport Dang , Le Anh-Hoang; Ho Chi Minh City University of Transport Ho , Viet-Dung; Ho Chi Minh City University of Transport Do
Vietnam is located in the tropical monsoon climate, so there are many storms affecting the marine environment each year. However, Vietnam’s sea also has distinct characteristics due to the continental shelf factors, salinity, sea currents and viscosity water. In this paper, the sea weather effects to the ship in the sea area from BinhThuan province to Ca Mau province are analyzed. Specifically, wave, wind and current which are the three main factors affecting the safety of ship are thoroughly examined. Importantly, the survey parameters have been built from the actual operating environment. In addition, maintaining the stability of dynamic positioning system in Vietnam weather conditions is the main point of this study.
Volume: 16
Issue: 2
Page: 533-543
Publish at: 2018-04-01

Design Flexural Piezoelectric Acoustic Transducers Array based d33 Mode Polarization

10.11591/ijeecs.v10.i1.pp59-65
K.A. Ahmad , A. Abd Manaf , Z. Hussain Hussain , Z. Janin
Piezoelectric Acoustic Transducer (PAT) is a transducers used in many application such as medical diagnostic, medical ultrasonic imaging and underwater acoustic applications. Latest research, PAT were investigated in marine application and underwater acoustic imaging. Conventional PAT is design based on sensing element, Piezoelectric Material, matching layer and backing layer. But the conventional method still has problem with issues of narrow bandwidth, directivity and low sensitivity. This problem is occurred when the transducer need to increase the image resolution. The size of single element will become smaller to meet the requirement of high resolution. PZT-5H have high piezoelectric constant (d31) and low dielectric loss. It is chosen as sensing element in this design of PAT because it will increase the sensitivity of transducers. The PAT is design based on d33 mode polarization to improve the receiving sensitivity. The fabrication process are included wet etching on Printed Circuit Board (PCB), spin coated Polydimethylsiloxane (PDMS), and baked transducer on hot plate. PAT is characterized using Pulse-Echo method. Pulse-Echo method will determine the sensitivity, directivity and operating bandwidth of acoustic transducers in underwater applications. Open circuit receiving voltage (OCRV) is voltage response to determine the sensitivity of acoustic transducer. The commercial projector and hydrophone will calibrate to obtain the reliability of result. In cross talk test, at some particular frequency, Pin 2 and Pin 3 have low sensitivity value. It is because Pin 2 and Pin 3 received low acoustic wave pressure. The PAT array based d33 mode polarization shows it has more receiving sensitive compared to commercial acoustic transducers. The design transducer has sensitivity at -56 dB re 1V/µPa at resonance frequency, 100kHz and fractional bandwidth at 30%.
Volume: 10
Issue: 1
Page: 59-65
Publish at: 2018-04-01

A Proposed DDS Enabled Model for Data Warehouses with Real Time Updates

10.11591/ijict.v7i1.pp31-38
Munesh Chandra Trivedi , Virendra Kumar Yadav , Avadhesh Kumar Gupta
Data warehouse generally contains both types of data i.e. historical & current data from various data sources. Data warehouse in world of computing can be defined as system created for analysis and reporting of these both types of data. These analysis report is then used by an organization to make decisions which helps them in their growth. Construction of data warehouse appears to be simple, collection of data from data sources into one place (after extraction, transform and loading). But construction involves several issues such as inconsistent data, logic conflicts, user acceptance, cost, quality, security, stake holder’s contradictions, REST alignment etc. These issues need to be overcome otherwise will lead to unfortunate consequences affecting the organization growth. Proposed model tries to solve these issues such as REST alignment, stake holder’s contradiction etc. by involving experts of various domains such as technical, analytical, decision makers, management representatives etc. during initialization phase to better understand the requirements and mapping these requirements to data sources during design phase of data warehouse.
Volume: 7
Issue: 1
Page: 31-38
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

Anomaly Detection in Log Records

10.11591/ijeecs.v10.i1.pp343-347
Poonam Ghuli
Complex software systems are continuously generating application and server logs for the events which had occurred in the past. These logs generated and can be utilized for anomaly and intrusion detection. These log files can be used for anomaly or outlier detection. Certain types of abnormalities or exceptions such as spikes in HTTP requests, number of exceptions raised in logs, etc. All these events are logged into the log files for further analysis. These types of events are generally used for predicting the anomalies in future. The developed prototype assumes that the user inputs log records in a standard apache log format. At first the user uploads the log file for outlier detection. Next, a prototype is developed to get the number of HTTP requests for outlier detection. Then anomalies in number of HTTP requests are detected using three techniques namely InterQuartileRange method, Moving averages and Median Absolute deviation. Once the outliers are detected, these outliers are removed from the current dataset. This output is given as input to the Multilayer Perceptron model to predict the number of HTTP requests at the next timestamp 
Volume: 10
Issue: 1
Page: 343-347
Publish at: 2018-04-01

Voltage Stability Prediction on Power Networks using Artificial Neural Networks

10.11591/ijeecs.v10.i1.pp1-9
Gitanjali Saha , Kabir Chakraborty , Priyanath Das
 The objective of this paper is to predict the secure or the insecure state of the power system network using a hybrid technique which is a combination of Artificial Neural Network (ANN) and voltage stability indexes. Voltage collapse or an uncontrollable drop in voltage occurs in a system when there is a change in the condition of the system or a system is overloaded. A Transference Index (TI) which acts as a voltage stability indicator has been formulated from the equivalent two-bus network of a multi-bus power system network, which has been tested on a standard IEEE 30-bus system and the result is validated with a standard Fast Voltage Stability Index (FVSI). FACTS devices in the critical bus have been considered for the improvement of the voltage stability of the system. An ANN based supervised learning algorithm has been conferred in this paper alongside Contingency Analysis (CA) for the prediction of voltage security in an  IEEE 30 - bus power system network. 
Volume: 10
Issue: 1
Page: 1-9
Publish at: 2018-04-01

Classification of Leaf Disease from Image Processing Technique

10.11591/ijeecs.v10.i1.pp191-200
Mahanijah Md Kamal , Ahmad Nor Ikhwan Masazhar , Farah Abdul Rahman
Disease in palm oil sector is one of the major concerns because it affects the production and economy losses to Malaysia. Diseases appear as spots on the leaf and if not treated on time, cause the growth of the palm oil tree. This work presents the use of digital image processing technique for classification oil palm leaf disease sympthoms. Chimaera and Anthracnose is the most common symtoms infected the oil palm leaf in nursery stage. Here, support vector machine (SVM) acts as a classifier where there are four stages involved. The stages are image acquisition, image enhancement, clustering and classification. The classification shows that SVM achieves accuracy of 97% for Chimaera and 95% for Anthracnose.
Volume: 10
Issue: 1
Page: 191-200
Publish at: 2018-04-01

Ant Based Cross Layered Optimization Protocol for WMSN with Fuzzy Clustering

10.11591/ijeecs.v10.i1.pp295-301
DipaliParag Adhyapak , Sridharan Bhavani , Aparna Pradeep Laturkar
Wireless Multimedia Sensor Network (WMSN) is embedded with large number of Audio, Video and scalar sensor nodes which can able to retrieve the multimedia information from the environment. WMSN has several challenges such as life time of the network, Memory requirement, Coverage, Bandwidth and QoS metrics. Hence selection of routing algorithm is crucial in WMSN. Again interdependencies of the protocol layer cannot be neglected to improve the network performance. Clustering in WMSN is challenging task in order to increase network lifetime and to improve the communication. Hence Fuzzy clustered Ant based cross layer protocol (FCAXL) is proposed. In this paper performance analysis of ant based cross layer optimization protocol with fuzzy clustering based on number of nodes and packet size is done. Simulation results shows that Fuzzy clustered ant based cross layer optimization protocol performs best as compared to AntSenseNet routing protocol, Cross layer routing protocol and Ant based cross layer routing protocol in terms of QoS parameters such as Throughput, Packet delivery ratio and delay. Hence the life time of the network increases.
Volume: 10
Issue: 1
Page: 295-301
Publish at: 2018-04-01

Cluttered Traffic Distribution in LoRa LPWAN

10.11591/ijeecs.v10.i1.pp214-223
Nur Aishah Bt. Zainal , Mohamed Hadi Habaebi , Israth Chowdhury , Md Rafiqul Islam
Low Power WAN (LPWAN) is a wireless broad area network technology. It is interconnects using only low bandwidth, less power consumption at long range. This technology is operating in unauthorized spectrum which designed for wireless data communication. To have an insight of such long-range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities clutter grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of these sensing nodes follow the built infrastructure around the city of smart buildings. The system is evaluated in terms of connectivity and packet loss ratio.
Volume: 10
Issue: 1
Page: 214-223
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
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