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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 50 Documents
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Search results for , issue "Vol 9, No 3: March 2018" : 50 Documents clear
Investigation and Visualization of Query Determine Spatial Pattern in GIS Anto Xavier. A; A. Arivazhagan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp552-554

Abstract

Earth elements are arranged following one or many standards called spatial patterns. Around the globe many elements share normal examples. To find those patterns and dissecting those through a few information visualization strategies can prompt a decent choice supporting framework. Information like area astute populace, schools and healing facilities is gathered from various sources. To store GIS information PostgreSQL and PostGIS is giving a good support and capable database. GIS maps are made utilizing instrument QGIS (Open source) for the visualization reason. To characterize basic example from the given dataset, bunches are framed from populace field. To bunch information OPTICS grouping strategy is utilized. At that point choice tree by data pick up strategy is utilized for the administered learning. To show the outcome open source programming Geo server is utilized. Geo server handle the client questions and show the outcome on the dynamic maps.
Design of Low Power Low Noise Amplifier using Gm-boosted Technique Maizan Muhamad; Norhayati Soin; Harikrishnan Ramiah
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp685-689

Abstract

This paper presents the development of low noise amplifier integrated circuit using 130nm RFCMOS technology. The low noise amplifier function is to amplify extremely low noise amplifier without adding noise and preserving required signal to a noise ratio. A detailed methodology and analysis that leads to a low power LNA are being discussed throughout this paper. Inductively degenerated and Gm-boosted topology are used to design the circuit. Design specifications are focused for 802.11b/g/n IEEE Wireless LAN Standards with center frequency of 2.4 GHz. The best low noise amplifier provides a power gain (S21) of 19.841 dB with noise figure (NF) of 1.497 dB using the gm-boosted topology while the best low power amplifier drawing 4.19mW power from a 1.2V voltage supply using the inductively degenerated.
Optimization of Arithmetical Operators for the Enhanced Wallace Stage K. Gugan; S. V. Saravanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp591-594

Abstract

In the field of Digital signal processing (DSP), the reduction of some logical elements counts is one of the main considerations. To minimize the area, computational delay, and power, the digital form FIR filter is to be implemented. The optimization of the ATP (Area, Time and Power) is achieved by using the efficient multiplication and accumulation unit (MAC). In this work, the direct form FIR filter with the efficient MAC unit is presented. At the initial stage, the half adders and full adders are to be modified by the reduction of the logical gates. The modified half and full adder are implemented in the Wallace tree multiplier for performing the efficient multiplication process. Carry save adder is divided into the two stages to reduce the computational delay of arithmetical operators. The proposed MAC design is implemented in the direct form FIR filter by using the HDL language.
Proximity Sensors Based Marine Engine Fault Detection Using CAN Protocol J. Brindha; V. Vijayakumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp619-623

Abstract

This paper talked about an outline and execution assessment of marine motor blame recognition framework by utilising vicinity sensor. A non-linearity can be diminished by using the sensor without expanding the reaction time by applying CANopen convention. The marine motor blame location framework can measures crankshaft deflection, and the base flawlessly focused of crosshead progressively and enabled it to keep good breakdown from the marine engine by interlocking AMS (Alarm Monitoring System).
Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation Byamakesh Nayak; Sangeeta Sahu; Tanmoy Roy Choudhury
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp696-702

Abstract

This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.
Train Obstacle Detection System Using Avr Microcontroller and SR04 Ultrasonic Sensor A.A. Aziz; W.R.W. Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp650-654

Abstract

In Malaysia, railway is considered as the backbone of transport, connecting people from all across the country. With the current state of economy, more people prefer to choose train as main transportation especially in big city area such as Kuala Lumpur. With lower cost and relatively the safest form of transports compared to the other transports, like cars, motorcycles or busses, it is a wise choice to use train as daily commute transport. Nowadays, the rail traffic network in Malaysia are getting busier with trains traveling at higher speeds and carrying more passengers with heavier axle loads than before. With the increase of passenger, the risk involved in daily train operation will significantly increase. An improved safety system is required to keep up with the ever growing train loads. The proposed safety system is applied to alert the train operators. The whole system is comprised of an ultrasonic sensor connected to a database and an Atmega328P microcontroller mounted on a custom PCB board. It is found that the train in this country requires a distance of 77 meter in order to completely stop the train with regards to a few assumptions on the average mass and the speed of the train.
Power of Ambient Tempurature on the Performance of the Semiconductor Laser J. S. Ashwin; N. Manoharan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp606-608

Abstract

In this paper, the impact of surrounding temperature on the execution of the semiconductor laser is systematically examined in principle. We constructed the recreation display and the simulation results about showed that ambient temperature changes would influence the laser chip temperature, bringing about the laser key parameters in reproduction comes about.
Incursion Recognition Mechanism Based on Secure Network System A. Mohamed Divan Masood; S. K. Muthusundar
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp543-545

Abstract

Internet based computing dissimilar services such as server storage and applications are shared on the internet. This makes cloud computing one of the most promising and rapidly growing technologies. As it relies on sharing computer resources, it is prone to various security risks. Individual such security issue is Distributed Denial of Services attack on cloud. A DDos assault can begin from anyplace in the system and normally overpowers the casualty server by sending countless. This paper deals with the prevention of DDos attacks and how honey pot approach can be used in cloud computing to counter DDos attacks.
An Automatic Coffee Plant Diseases Identification Using Hybrid Approaches of Image Processing and Decision Tree Abrham Debasu Mengistu; Seffi Gebeyehu Mengistu; Dagnachew Melesew Alemayehu
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp806-811

Abstract

Coffee Leaf Rust (CLR), Coffee Berry Disease (CBD) and Coffee Wilt Disease (CWD) are the three main diseases that attack coffee plants. This paper presents the identification of these types diseases using hybrid approaches of image processing and decision tree. The images are taken from Southern Ethiopia, Jimma and Zegie. In this paper backpropagation artificial neural network (BPNN) and decision tree had been used as techniques; a total of 9100 images were collected. From these, 70% are used for training and the remaining 30% are used for testing. In general, 94.5% accuracy achieved when decision tree and BPNN with tanh activation function are combined.
Near Field Communication Based Digital Transaction Card Ravichandran Ravichandran; M. Krishnamurthy
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp587-590

Abstract

Our paper aim is to design a reprogrammable smart payment card that replaces all other cards in the wallet assembled using an ultra-low power e-paper display, Bluetooth Communication, capacitive touch sensor and NFC. The controllers used in this project based on ARM Cortex-M architecture. The main advantage of this paper is the card will be in constant communication with the smartphone. In case if the connection was lost, after a certain time interval the card interprets it as lost or stolen and will automatically disable itself. The user can re-enable the card only by entering the authentication password on the card and from the smartphone app.

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