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29,167 Article Results

Active and Reactive Power Scheduling Optimization using Firefly Algorithm to Improve Voltage Stability under Load Demand Variation

10.11591/ijeecs.v9.i2.pp365-372
Mohamad Khairuzzaman Mohamad Zamani , Ismail Musirin , Halim Hassan , Sharifah Azwa Shaaya , Shahril Irwan Sulaiman , Nor Azura Md. Ghani , Saiful Izwan Suliman
This paper presents active and reactive power scheduling using firefly algorithm (FA) to improve voltage stability under load demand variation. The study involves the development of firefly optimization engine for power scheduling process involving the active and reactive power for wind generator. The scheduling optimization of wind generator is tested by using IEEE 30-Bus Reliability Test System (RTS). Voltage stability of the system is assessed based in a pre-developed voltage stability indicator termed as fast voltage stability index (FVSI). This study also considers the effects on the loss and voltage profile of the system resulted from the optimization, where the FVSI value at the observed line, minimum voltage of the system and loss were monitored during the load increment. Results obtained from the study are convincing in addressing the scheduling of power in wind generator. Implementation of FA approach to solve power scheduling revealed its flexibility and feasible for solving larger system within different objective functions.This paper presents active and reactive power scheduling using firefly algorithm (FA) to improve voltage stability under load demand variation. The study involves the development of firefly optimization engine for power scheduling process involving the active and reactive power for wind generator. The scheduling optimization of wind generator is tested by using IEEE 30-Bus Reliability Test System (RTS). Voltage stability of the system is assessed based in a pre-developed voltage stability indicator termed as fast voltage stability index (FVSI). This study also considers the effects on the loss and voltage profile of the system resulted from the optimization, where the FVSI value at the observed line, minimum voltage of the system and loss were monitored during the load increment. Results obtained from the study are convincing in addressing the scheduling of power in wind generator. Implementation of FA approach to solve power scheduling revealed its flexibility and feasible for solving larger system within different objective functions.
Volume: 9
Issue: 2
Page: 365-372
Publish at: 2018-02-01

Full C-Band Tunable V-Cavity-Laser based TOSA and SFP Transceiver Modules

10.11591/ijeecs.v9.i2.pp327-331
Saravanan K , V Mathivanan
We report the latest development in tunable transmitter optical sub-assembly (TOSA) and small form-factor pluggable (SFP) transceivers based on simple and compact V-cavity laser (VCL), aiming for low-cost deployment in metro, access and data center networks. The VCL employs a half-wave coupler to achieve high side-mode suppression ratio (SMSR) and the Vernier effect to achieve a wide wavelength tuning range. Full C-band tuning from 1529.55-nm to 1566.31-nm with SMSR above 36 dB is demonstrated. Since the laser does not involve any grating or epitaxial regrowth, and has a simple tuning algorithm, it allows simpler processes for fabrication and testing as compared to other widely tunable laser structures. Compact TOSAs and SFP transceiver modules have been developed for full C-band tuning with up to 93 channels at 50 GHz spacing. Transmission experiments are carried out for direct modulation with data rates from 2.5 Gbps to 8.5 Gbps. The results of reliability tests of the modules are also presented.
Volume: 9
Issue: 2
Page: 327-331
Publish at: 2018-02-01

Heuristic Based Power Consumption Minimisation and Optimisation on Smartphones

10.11591/ijeecs.v9.i2.pp345-346
Suresh G B , D Mathivanan
In the direction of capable save the energy of battery life in Smartphone accurate with sensible influence form of Wi-Fi data communication in infrastructure mode. The network environment parameters like still time in a 3G system the network throughput and the convey pattern have been accepted all through measurement study the collective impact of an issue has not been systematical.
Volume: 9
Issue: 2
Page: 345-346
Publish at: 2018-02-01

Reversed-Trellis Tail-Biting Convolutional Code (RT-TBCC) Decoder Architecture Design for LTE

10.11591/ijece.v8i1.pp198-209
Trio Adiono , Ahmad Zaky Ramdani , Rachmad Vidya Wicaksana Putra
Tail-biting convolutional codes (TBCC) have been extensively applied in communication systems. This method is implemented by replacing the fixed-tail with tail-biting data. This concept is needed to achieve an effective decoding computation. Unfortunately, it makes the decoding computation becomes more complex. Hence, several algorithms have been developed to overcome this issue in which most of them are implemented iteratively with uncertain number of iteration. In this paper, we propose a VLSI architecture to implement our proposed reversed-trellis TBCC (RT-TBCC) algorithm. This algorithm is designed by modifying direct-terminating maximum-likelihood (ML) decoding process to achieve better correction rate. The purpose is to offer an alternative solution for tail-biting convolutional code decoding process with less number of computation compared to the existing solution. The proposed architecture has been evaluated for LTE standard and it significantly reduces the computational time and resources compared to the existing direct-terminating ML decoder. For evaluations on functionality and Bit Error Rate (BER) analysis, several simulations, System-on-Chip (SoC) implementation and synthesis in FPGA are performed.
Volume: 8
Issue: 1
Page: 198-209
Publish at: 2018-02-01

A Study of Superconducting Transformer with Short-Circuit Current Limitation

10.11591/ijece.v8i1.pp505-512
V.Z. Manusov , D.A. Pavlyuchenko , J.S. Ahyoev
The paper presents physico-mathematical models for analyzing transient processes in electrical networks having transformers with a high temperature superconducting winding. One of the main purposes of the study is the investigation of the short circuit current limitation process with the use of a transformer with a high temperature superconducting winding, that allows the combination of two series-connected elements, transformer and reactor, in one device. The efficiency of this method for short circuit current limitation is provided by the fact that the critical value of superconducting winding temperature is exceeded under short circuit current flowing, then it passes into the normal state with a high impedance winding, thus limiting a short circuit current. It is important to know the moment when superconducting material passes into the normal state with the loss of superconductivity. For this purpose, the program for calculating the quantity of heat under short circuit current flowing before its interruption was developed. If a 40 MVA transformer with a high temperature superconducting winding is considered, short circuit should be cleared after 100 ms without transformer disconnection. It is proposed to use a hybrid winding in addition to the main winding for short circuit current limitation. Conducted investigations showed that the return of a winding into the superconducting state depends primarily on the ratio between a short circuit current and a rated load current. This represents the criterion for returning or not returning into the superconducting state for transformer windings.
Volume: 8
Issue: 1
Page: 505-512
Publish at: 2018-02-01

Efficient and Energy Scheme for Wireless Rechargeable Sensor Network

10.11591/ijeecs.v9.i2.pp265-266
S V Saravanan
The wireless rechargeable sensor network is attractive crucial and important in recent years for the advancement of wireless energy communication skill. The previous explore shown that not all of sensors can be recharged due to the limitation of power capacity to mobile chargers can carry. If a sensor playing a critical role in a sensing task cannot function as usual due to the exhausted energy, then the sensing task will be interrupted. Therefore, this paper proposes a novel recharging mechanism taking the priorities of sensors into consideration such that mobile chargers can recharge the sensor with a higher priority and the network lifetime can be efficiently sustained. The priority of each sensor depends on its contribution to the sensing task, including the coverage and connectivity capabilities. Based on the priority, the sensor with a higher priority will be properly recharged to extend the network lifetime. Simulation results show that the proposed mechanism performs better against the related work in network lifetime.
Volume: 9
Issue: 2
Page: 265-266
Publish at: 2018-02-01

Fuzzy Cognitive Maps Based Game Balancing System in Real Time

10.11591/ijeecs.v9.i2.pp335-341
Patel Kalpana Dhanji , Santhosh Kumar Singh
Players may stop playing a picked amusement sooner than anticipated for some reasons. A standout amongst the most vital is identified with the way amusement planners and designers adjust diversion challenge levels. Practically speaking, players have distinctive ability levels and may discover common foreordained troublesome levels as too simple or too hard, getting to be noticeably disappointed or exhausted. The outcome might be diminished inspiration to continue playing the diversion, which implies decreased engagement. A way to deal with alleviate this issue is dynamic amusement trouble adjusting, which is a procedure that alters diversion play parameters progressively as indicated by the present player aptitude level. In this paper we propose a constant answer for DGB utilizing Evolutionary Fuzzy Cognitive Maps, for progressively adjusting a diversion trouble, giving a very much adjusted level of test to the player. Transformative Fuzzy Cognitive Maps depend on ideas that speak to setting diversion factors and are connected by fluffy and probabilistic causal connections that can be refreshed progressively. We talk about a few re-enactment tries that utilization our answer in a runner sort amusement to make all the more captivating and dynamic diversion encounters.
Volume: 9
Issue: 2
Page: 335-341
Publish at: 2018-02-01

Usability Analysis of Business Intelligence Tool Based Table Virtualization

10.11591/ijeecs.v9.i2.pp431-437
Muh Zia ul Haq , Suharjito Suharjito
The use of Business Intelligence for Small-Mid Enterprise (SME) no longer impeded by the size of the resources required. The study in this paper provides an overview of how the use of proposed software can be used as an effective and efficient alternative solution in building BI Tools combined with table virtualization utilization in SQL. To know the level of usability and suitability of the developed BI Tool, the researcher conducted evaluation and analyzation using 2 (two) tools (Heuristics Evaluation and UMUX-Lite). The result found the comparison between the output (Business Intelligence Tool) produced by PHP Report Maker has a better level of usability and suitability than its competitors. Although both are in a decent median, the output needs preferences and customizations to achieve maximum functionality like well-known other development software. 
Volume: 9
Issue: 2
Page: 431-437
Publish at: 2018-02-01

Effective Sampling-Based Assessment Method for Evaluating Electrical Engineering Programme Performance

10.11591/ijeecs.v9.i2.pp417-423
W. Mansor , B. N. Sheikh Rahimullah , M. N. Taib , N. Mohamad Zaini , M. F. Abdul Latip , A. R. Mahmud
Challenges in the conventional way of measuring programme outcome include large data sets to be processed, a large amount of manpower, operating cost increment and time consuming. A sampling-based approach to evaluate the performance of a programme is proposed and a mathematical model is developed to determine the overall programme outcome score. The criteria for course selection and percentage of students considered in the assessment, was designed to accelerate the process. The results obtained from the implementation of sampling based approach in the assessment have shown that the programme is successful and the students have achieved the required knowledge and skills. The sampling-based approach is capable of demonstrating the programme and the students’ achievement.
Volume: 9
Issue: 2
Page: 417-423
Publish at: 2018-02-01

Design and Implementation of Smart Non-Invasive Bone Conduction Ear-Plug System

10.11591/ijeecs.v9.i2.pp249-252
Ravichandran G , M Krishnamurthy
The project aim is to design a smart earplug system integrated with non-invasive bone conduction technique which is capable of doing some advanced audio processing to provide voice enhancing, noise filtered audio for the hearing impaired people [2]. The system is also designed to work as an embedded music player, a life activity tracker and a Smartphone companion. It can even read the SMS that is just received on your smartphone into your ear. This project needs a very low power microcontroller but with high-performance signal processing requirements. STM32L476 from STMicroelectronics meets this needs and thus chosen as the main MCU. It is an ultra-low power ARM Cortex-M4 based microcontroller that can run up to 80MHz.  It has got 1MB of Flash memory and 128 KB RAM.
Volume: 9
Issue: 2
Page: 249-252
Publish at: 2018-02-01

Influence Types of Startup on Hydrothermal Scheduling

10.12928/telkomnika.v16i1.6722
Ignatius Riyadi; Institut Teknologi Sepuluh November Surabaya Mardiyanto , Hermagasantos; Politeknik Negeri Bandung Zein , Adi; Institut Teknologi Sepuluh November Surabaya Soeprijanto
The energy costs of a power plant consist of startup cost and cost of power usage. In contrast to the existing literature, this study introduces at startup cost based on the duration of thermal power plant downtime. The approach of startup cost function in this research is done by using startup type. Startup of a steam power plant depends on its condition. Generally, there are three types of startup the power plant when the turbine temperature is still very high, i.e. hot start, very hot start and very-very hot start. This paper uses multistage optimization to solve the problem of hydrothermal scheduling with including the startup type cost in the objective function. The simulation results showed operating cost savings when the objective function for optimization also consider the cost based on startup type i.e. when compared with the optimization result which the objective function does not take the cost of startup type.
Volume: 16
Issue: 1
Page: 25-37
Publish at: 2018-02-01

NO2 Gas Sensing Properties of Carbon Films Fabricated by Arc Discharge Methane Decomposition Technique

10.12928/telkomnika.v16i1.6004
Elnaz; Universiti Teknologi Malaysia Akbari , Zolkafle; Universiti Teknologi Malaysia Buntat , Syed Muhammad; Universiti Teknologi Malaysia Zafar Iqbal , Zulkifli; Universiti Teknologi Malaysia Azman , Norain; Universiti Teknologi Malaysia Sahari , Zainuddin; Universitas Sriwijaya Nawawi , Muhammad Irfan; Universitas Sriwijaya Jambak , Muhammad Abu Bakar; Universitas Sriwijaya Sidik
In this work, a set of experiments has been conducted using arc discharge Methane decomposition attempting to obtain carbonaceous materials (C-strands) formed between graphite electrodes. The current-voltage (I-V) characteristics of the fabricated C-strands have been investigated in the presence and absence of two different gases, NO2 and CO2. The results reveal that the current passing through the carbon films increases when the concentrations of gases are increased from 200 to 800 ppm. This phenomenon is a result of conductance changes and can be employed in sensing applications such as gas sensors.
Volume: 16
Issue: 1
Page: 69-76
Publish at: 2018-02-01

MCGDM with AHP based on Adaptive Interval Value Fuzzy

10.12928/telkomnika.v16i1.7000
Yeni; University of Trunojoyo Madura Kustiyahningsih , Fatmawati; Airlangga University Fatmawati , Herry; Airlangga University Suprijanto
The purpose research is to develop the decision model of Multi-Criteria Group Decision Making (MCGDM) into Interval Value Fuzzy Multi-Criteria Group Decision Making (IV-FMCGDM), while the specific purpose is to construct decision-making model of Adaptive Interval Value Fuzzy Analytic Hierarchy Process (AIV- FAHP) uses Triangular Fuzzy Number (TFN) and group decision aggregation functions using Interval Value Geometric Means Aggregation (IV-GMA). The novelty research is to study the concept of group decision making by improving the middle point on the Interval Value Triangular Fuzzy Number (IV TFN). It provides more accurate modeling, and better rating performance, and more effective linguistic representation. This research produced a new decision-making model and algorithm based on AIV-FAHP used to measure the quality of e-learning.
Volume: 16
Issue: 1
Page: 314-322
Publish at: 2018-02-01

Fibre Optic Infrastructure for Network Deployment Using Application System

10.11591/ijeecs.v9.i2.pp311-315
Saravanan K , V Mathivananr
Fiber optic has an imperative part in the improvement of media communications framework in Indonesia. Better system execution and nature of the speed that offered by fiber optic can bolster the information prerequisite which keeps on expanding each year. In Indonesia, Fiber Optics is utilized as the essential system foundation Backbone and Access and still keep on developing the fiber optic system in Indonesia. Therefore, the process of reporting, controlling and monitoring are imperative for network deployment of fiber optic network by using an application system to be more efficient and accelerate the decision making process. In this study FOMApps is made, an android based application that facilitates the requirements of monitoring, controlling and reporting the fiber optic project between the Government and fiber optic deployment provider. Specifically, FOMApps incorporate distinctive announcing positions for each sort of employment. The test aftereffects of detailing framework Optical Fiber Cable (Outside Plant) has a speed in conveying the report added up to 257.516 seconds. So from the outcomes that are acquired, the application is plausible for use in detailing the arrangement of Outside Plant Fiber Optic. With the presence of this application, we expect the way toward controlling and checking between the Government and fiber optic organizations suppliers are accomplished.
Volume: 9
Issue: 2
Page: 311-315
Publish at: 2018-02-01

An Automatic Approach for Bilingual Tuberculosis Ontology Based on Ontology Design Patterns (ODPs)

10.12928/telkomnika.v16i1.6587
Bambang; Sebelas Maret University Harjito , Denis Eka; Sebelas Maret University Cahyani , Afrizal; Sebelas Maret University Doewes
Ontology is a representation term used to describe and represent a domain of knowledge. Manually ontology development is currently considered complex, requiring a lot of time and effort. This research was proposed to develop methods to build automatic domain ontology bilingual in Indonesian and English by using corpus and ontology design patterns (ODPs) in tuberculosis disease. In this study, the methods used were to combine ontology learning from text and ontology design patterns to decrease the role of expert knowledge. The methods in this research consist of six stages are term and relation extraction, matching with Tuberculosis glossary, matching with ODPs, score computation similarity term and relations with ODPs, ontology building and ontology evaluation. The results of ontology construction were 362 terms and 44 relations with 260 terms were added. The calculation accuracy of ontology construction was 71%. Ontology construction had higher complexity and shorter time as well as decreases the role of the expert knowledge which proof that the automatic ontology evaluation is better than manual ontology construction.
Volume: 16
Issue: 1
Page: 282-289
Publish at: 2018-02-01
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