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29,734 Article Results

Wireless Data Communication Techniques to Coordinate Distributed Rooftop PVs in Unbalanced Three-phase Feeder

10.12928/telkomnika.v16i3.7780
Rachmawati; Politeknik Negeri Lhokseumawe Rachmawati , Anita; Politeknik Negeri Lhokseumawe Fauziah , Nelly; Politeknik Negeri Lhokseumawe Safitri
A necessity of the availability of communication network to provide data transfer amongst the coordinated single-phase rooftop photovoltaic (PV) in unbalanced three-phase low voltage (LV) feeder is essential since fetching data within the sensor of each PV unit requires real-time measurement and reliable data exchange within smart grid (SG), loads and other PV units. The main objective of this paper is to model the popular Wi-Fi, WiMax and ZigBee wireless data communication techniques into algorithms using numerical analysis. Those communication technologies have low cost and low power consumption. The benefits and drawbacks of those considered wireless data communications are shown as the required data that transferred and appropriate coding is also proposed. The number of transmitted symbols and the processing time delay of the proposed data coding are numerically analyzed, the results indicated that the 100% penetration level of PV that resulted higher injected reactive power back into the networks is able to be overcome since the coordinated PVs along the feeder is communicating to lower the unbalanced voltage profile.
Volume: 16
Issue: 3
Page: 1101-1106
Publish at: 2018-06-01

Asymptotic features of Hessian Matrix in Receding Horizon Model Predictive Control with Medium Sized Prediction Frames

10.12928/telkomnika.v16i3.9035
M. Bilal; University of Technology Shahid , M. Abbas; University of Technology Abbasi , Sehar; University College of Engineering & Technology, The Islamia University of Bahawalpur Arsha
In this paper, Receding Horizon Model Predictive Control (RH-MPC) having a quadratic objective function is studied through the Singular Value Decomposition (SVD) and Singular Vectors of its Hessian Matrix. Contrary to the previous work, non-equal and medium sized control and prediction horizons are considered and it is shown that the Singular Values converge to the open loop magnitude response of the system and singular vectors contain the phase information. Earlier results focused on classical formulation of Generalized Predictive Control (GPC), whereas, current work proves the applicability to modern formulation. Although, method can easily be extended to MIMO systems, only SISO system examples are presented.
Volume: 16
Issue: 3
Page: 1174-1182
Publish at: 2018-06-01

Thermal Effect of Wind Generation on Conventional Generator in a Microgrid

10.11591/ijeecs.v10.i3.pp890-896
Azmi Hashim , Kwok L Lo
In order to reduce CO2 emissions, which is one of the key strategy in combatting global warming, development of wind energy technology as source of renewable energy has become more important globally. However, the variability of the wind speeds leads to the intermittent nature of wind power generation. The conventional generators in the system must be able to compensate this fluctuation to maintain system stability and meet the load demand in the grid. This in turn may increase the temperature of the conventional generators beyond what normally occurs without wind generation in the grid. The aim of the paper is to inestigate the effect of thermal heating of the generators due to the variable output of wind generation in different time of the year in a microgrid by proposing proper modelling in the simulation. The simulations are done in 24 hours period in four different time of the years corresponding to different seasons of the year.
Volume: 10
Issue: 3
Page: 890-896
Publish at: 2018-06-01

Face Recognition on Linear Motion-blurred Image

10.12928/telkomnika.v16i3.5480
Fergyanto E.; Bina Nusantara University Gunawan , Jeklin; Bina Nusantara University Harefa , Nobumasa; Toyohashi University of Technology Sekishita
Most face recognition algorithms are generally capable to achieve a high level of accuracy when the image is acquired under wellcontrolled conditions. The face should be still during the acquisition process; otherwise, the resulted image would be blur and hard for recognition. Enforcing persons to stand still during the process is impractical; extremely likely that recognition should be performed on a blurred image. It is important to understand the relation between the image blur and the recognition accuracy. The ORL Database was used in the study. All images were in PGM format of 92 × 112 pixels from forty different persons, ten images per person. Those images were randomly divided into training and testing datasets with 50-50 ratio. Singular value decomposition was used to extract the features. The images in the testing datasets were artificially blurred to represent a linear motion, and recognition was performed. The blurred images were also filtered using various methods. The accuracy levels of the recognition on the basis of the blurred faces and filtered faces were compared. The performed numerical study suggests that at its best, the image improvement processes are capable to improve the recognition accuracy level by less than five percent.
Volume: 16
Issue: 3
Page: 1249-1255
Publish at: 2018-06-01

The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

10.12928/telkomnika.v16i3.7077
Sri Suryani; Telkom University Prasetiyowati , Yuliant; Telkom University Sibaroni , Derwin; Telkom University Prabangkara
Currently, the existence of city transport is increasingly eliminated by private vehicles such as cars and motorcycles. This situation is further exacerbated by the behavior of city transport drivers who are less discipline in driving, or in picking up and dropping off their passengers. The bad behavior is partly caused by the low level of passenger occupancy. The drivers try to search for passengers as much as possible but often ignore the traffic rules. To overcome this problem, an optimal transport route with high passenger potential is required. Therefore, this study investigated the optimal route of city transport based on the passenger occupancy rate in the city of Bandung as the case study. The method employed for determining the optimal route is Genetic algorithm combined with Ordinary Kriging method used for the process of passenger prediction and fitness calculation. The optimal routes are those with higher occupancy rate. The analysis results showed that the use of the Genetic algorithm with a low number of generations succeed in creating new optimal routes even though the increase is not too high the maximum only reaches 4%.This result is certainly important enough to be used in making better public transport routes.
Volume: 16
Issue: 3
Page: 1201-1207
Publish at: 2018-06-01

Synchronous Mobile Robots Formation Control

10.12928/telkomnika.v16i3.8397
Mohd Razali; Universiti Teknikal Malaysia Melaka Mohamad Sapiee , Khalil Azha; Universiti Teknikal Malaysia Melaka Mohd Annuar
Synchronous mobile robots formation control is one of the most challenging and interesting fields in robotics. The mobile robots communicate with each other through wireless communication to perform similar movement. This study analyzed two mobile robots that can perform synchronous movement along a shaped path. A square shape is set as a path for the mobile robot movements. The front robot being the leading robot transmits the instruction of its movement to the robot behind it, acting as the following robot through a wireless communication. The instruction sent by the leading robot is received by the following robot through a program embedded in the leading robot microcontroller which then drives the following robot to move and imitates the movement of the leading. The algorithm for the movement is tested on the hardware and the results of the experiment are included to verify the effectiveness of the proposed method.
Volume: 16
Issue: 3
Page: 1183-1192
Publish at: 2018-06-01

Algorithm to Convert Signal Interpreted Petri Net Models to Programmable Logic Controller Ladder Logic Diagram Models

10.11591/ijeecs.v10.i3.pp905-916
Z. Aspar , Nasir Shaikh-Husin , M. Khalil-Hani
Signal Interpreted Petri Nets (SIPN) modeling has been proposed as an alternative to Ladder Logic Diagram (LLD) modeling for programming complex programmable logic controllers (PLCs) due to its high level of abstraction and functionalities. This paper proposes an algorithm to efficiently convert existing SIPN models to their LLD models equivalences. In order to automate and speed up the conversion process, matrix calculation approach is used. A complex SIPN model was used to show that existing conversion technique must be expanded in order to cater for a more complex SIPN models.
Volume: 10
Issue: 3
Page: 905-916
Publish at: 2018-06-01

A Cooperative Cache Management Scheme for IEEE802.15.4 based Wireless Sensor Networks

10.11591/ijece.v8i3.pp1701-1710
Piyush Charan , Tahsin Usmani , Rajeev Paulus , Syed Hasan Saeed
Wireless Sensor Networks (WSNs) based on the IEEE 802.15.4 MAC and PHY layer standards is a recent trend in the market. It has gained tremendous attention due to its low energy consumption characteristics and low data rates. However, for larger networks minimizing energy consumption is still an issue because of the dissemination of large overheads throughout the network. This consumption of energy can be reduced by incorporating a novel cooperative caching scheme to minimize overheads and to serve data with minimal latency and thereby reduce the energy consumption. This paper explores the possibilities to enhance the energy efficiency by incorporating a cooperative caching strategy.
Volume: 8
Issue: 3
Page: 1701-1710
Publish at: 2018-06-01

Evolutionary Computational Algorithm by Blending of PPCA and EP-Enhanced Supervised Classifier for Microarray Gene Expression Data

10.11591/ijai.v7.i2.pp95-104
Manaswini Pradhan
In DNA microarray technology, gene classification is considered to be difficult because the attributes of the data, are characterized by high dimensionality and small sample size. Classification of tissue samples in such high dimensional problems is a complicated task. Furthermore, there is a high redundancy in microarray data and several genes comprise inappropriate information for accurate classification of diseases or phenotypes. Consequently, an efficient classification technique is necessary to retrieve the gene information from the microarray experimental data. In this paper, a classification technique is proposed that classifies the microarray gene expression data well. In the proposed technique, the dimensionality of the gene expression dataset is reduced by Probabilistic PCA. Then, an Artificial Neural Network (ANN) is selected as the supervised classifier and it is enhanced using Evolutionary programming (EP) technique. The enhancement of the classifier is accomplished by optimizing the dimension of the ANN. The enhanced classifier is trained using the Back Propagation (BP) algorithm and so the BP error gets minimized. The well-trained ANN has the capacity of classifying the gene expression data to the associated classes. The proposed technique is evaluated by classification performance over the cancer classes, Acute myeloid leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). The classification performance of the enhanced ANN classifier is compared over the existing ANN classifier and SVM classifier.
Volume: 7
Issue: 2
Page: 95-104
Publish at: 2018-06-01

Optimal Reactive Power Dispatch using Crow Search Algorithm

10.11591/ijece.v8i3.pp1423-1431
Lakshmi M , Ramesh Kumar A
The optimal reactive power dispatch is a kind of optimization problem that plays a very important role in the operation and control of the power system. This work presents a meta-heuristic based approach to solve the optimal reactive power dispatch problem. The proposed approach employs Crow Search algorithm to find the values for optimal setting of optimal reactive power dispatch control variables. The proposed way of approach is scrutinized and further being tested on the standard IEEE 30-bus, 57-bus and 118-bus test system with different objectives which includes the minimization of real power losses, total voltage deviation and also the enhancement of voltage stability. The simulation results procured thus indicates the supremacy of the proposed approach over the other approaches cited in the literature.
Volume: 8
Issue: 3
Page: 1423-1431
Publish at: 2018-06-01

Selection of Digital Filter for Microprocessor Protection Relays

10.11591/ijece.v8i3.pp1498-1512
Denis B. Solovev
The article considers some issues related to replacement of electromechanical relays used for protection of power facilities with microprocessor relays. One of the urgent problems connected with implementation of microprocessor overcurrent protections is how to use current transducers other than usual current transformers and in particular Rogowski coils that become more and more widespread. In the article are compared twelve methods of synthesis of a digital filter basing on the analog prototype – second-order integrating filter. The bilinear filter and Boxer-Thaler filters are analyzed in respect to their use in microprocessor relays. Basing on the research results a technique for selection of parameters of digital integrating filters for microprocessor relays is proposed. Simulation results show that Boxer-Thaler and bilinear filters have better accuracy during transient current measurements than the analog filter. The study allows concluding that in many cases the digital second-order bilinear filter is the best choice for use in microprocessor relays.
Volume: 8
Issue: 3
Page: 1498-1512
Publish at: 2018-06-01

Interpretability Evaluation of Annual Mosaic Image of MTB Model for Land Cover Changes Analysis

10.12928/telkomnika.v16i3.9331
Muhammad; Ministry of Research, Technology, and Higher Education; and University of Indonesia Dimyati , Ratih Dewanti; LAPAN and Gadjah Mada University Dimyati , Kustiyo; LAPAN Kustiyo , Projo; LAPAN and Gadjah Mada University Danoedoro , Hartono; LAPAN and Gadjah Mada University Hartono
To verify whether the annual mosaic image of MTB model is acceptable for further digital analysis, it is necessary to evaluate the visual interpretability. The MTB model is an effort to integrate multi-scene and multi-temporal data, to obtain a minimum cloud cover mosaic image in locations that are often covered by clouds and haze. This study is to evaluate the interpretability of the annual mosaic image for analysis of the land cover changes. The data used are the images of 2015, 2016, and 2017 covers a part of central Sumatra. Visual interpretations with a series of steps are used, starting with identification of the objects using interpretation keys, followed by spectral band correlations, scattergram analysis, and ended by consistency assessment. The consistency assessment step is performed to determine the level of clearness and easiness of the object recognition in the annual mosaic images. The results showed that the most optimal spectral bands used for RGB combinations for visual interpretation were Band SWIR-1, Band NIR, and Band Red. Based on the evaluation results, the annual mosaic image of MTB model performed the consistent results of the clearness objects and the easiness of the object recognition. Thus the annual mosaic image of MTB model of 0.02x0.02 degree tile is acceptable for further digital processing as well as digital land cover analysis.
Volume: 16
Issue: 3
Page: 934-945
Publish at: 2018-06-01

A New CMOS Fully Differential Low Noise Amplifier for Wideband Applications

10.12928/telkomnika.v16i3.7630
Majid; University of Birjand Takbiri , Hadi; University of Birjand Zarei , Abolfazl; University of Birjand Bijari
In this paper, a multi-stage fully differential low noise amplifier (LNA) has been presented for wideband applications. A common-gate input stage is used to improve the input impedance matching and linearity. A common-source stage is also used as the second stage to enhance gain and reduce noise. A shunt-shunt feedback is employed to extend bandwidth and enhance linearity. The proposed low noise amplifier has been designed and simulated using RF-TSMC 0.18 μm CMOS process technology. In frequency band of 3.5-7.5 GHz, this amplifier has a flat power gain (S21) of 16.5 ± 1.5 dB, low noise figure (NF) of 3dB, input (S11) and output (S22) return losses less than -10 dB and high linearity with input thirdorder intercept point (IIP3) of -3dBm. It’s power consumption is also less than 10 mw with low power supply voltage of 0.8v.
Volume: 16
Issue: 3
Page: 1083-1091
Publish at: 2018-06-01

A Review of Hybrid Battery Management System (H-BMS) for EV

10.12928/telkomnika.v16i3.8743
Nur Huda; Universiti Teknikal Malaysia Melaka Mohd Amin , Mohd Ruddin; Universiti Teknikal Malaysia Melaka Ab Ghani , Auzani; Universiti Teknikal Malaysia Melaka Jidin , Zanariah; Universiti Teknikal Malaysia Melaka Jano , Tole; Universitas Ahmad Dahlan Sutikno
Significant to a major pollution contributor in passenger vehicles, electric vehicles are more acceptable to use on the road. Electric Vehicles (EVs) burn energy based on the usage of the battery. The usage of the battery in EVs is monitored and controlled by Battery Management System (BMS). A few factors monitor and control Battery Management System (BMS). This paper reviewed the battery charging technology and Remote Terminal Unit (RTU) development as a Hybrid Battery Management System (H-BMS) for Electric Vehicle (EV).
Volume: 16
Issue: 3
Page: 1004-1012
Publish at: 2018-06-01

Selecting User Influence on Twitter Data Using Skyline Query under MapReduce Framework

10.12928/telkomnika.v16i3.4624
Ahmad Luky; Institut Pertanian Bogor Ramdani , Taufik; Bogor Agricultural University Djatna , Heru; Bogor Agricultural University Sukoco
The aim of this research was to select and identify user influence on Twitter data. In identification stage, the method proposed in this study was matrix Twitter approach, sentiment analysis, and characterization of the opinion leader. The importan characteristics included external communication, accessibility, and innovation. Based on these characteristics and information from Twitter data through matrix Twitter and sentiment analysis, a algorithm of skyline query was constructed for the selection stage. Algorithm of skyline query selected user influence by comparing with other users according to values of each characteristic. Thus, user influence was indicated as user that was not influenced by other users in any combination of skyline objects. The use of MapReduce framework model in identification and selection stage, support whole operation where Twitter had big size data and rapid changes. The results in identification and selection of user influence exhibited that MapReduce framework minimized the execution time, whereas in parallel skyline query could reveal user influence on the data.
Volume: 16
Issue: 3
Page: 1416-1425
Publish at: 2018-06-01
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