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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 9,174 Documents
 503   504   505   506   507 
A compact dual band PIFA antenna for GPS and ISM BAND applications elkilani samir; Larbi El Abdellaoui; Jamal Zbitou; A. Errkik; Mohamed Latrach
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1266-1271

Abstract

This work deals with desgin of  a novel  compact  Dual band PIFA Antenna structure. The proposed antenna is validated for GPS and WIFI applications. The antenna is achieved on a lossy FR4 substrate. The final size of the antenna is 100×55×13.235 mm3. The final antenna structure was optimized and validated into simulation, fabrication and test. The proposed multiband PIFA is optimized by using solts technique. The fabricated antenna is validated to cover the operating frequencies of GPS (1.535 -1.7GHz) and BLUTOOTH/WIFI (2.54-2.47GHz) bands.
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.
802.11p Optimization for Delay Sensitive in Non-Safety Messages in VANETs Shamsul J Elias; M.N.M Warip; M. Elshaikh; M. Yusof Darus; R Badlishah Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp201-207

Abstract

Vehicle density and high vehicle mobility are variables that measured the performance of Vehicular Ad Hoc Network (VANET) in unpredictable traffic data transmission environment. This paper is focused on non-safety messages transmission mainly for delay in time in test-bed simulation environment. Network optimization is an approach to evaluate the existing congestion control protocols and other network parameters for outlining a newly enhanced congestion control protocols. This paper presents a city and highway traffic data transmission scenarios for optimizing delay sensitivity utilizing the Taguchi method.  The avareage data transmission on delay is performance indicator applying OMNeT++ simulation tools. The optimization process could be achieved once the best fit performance parameters are being identified. The best fit performance values could conclude the optimal and efficient congestion control networks. The packet sizes are the main control factors for this test-bed experiment focusing on non-safety messages which are delay sensitive.
A new algorithm for water retention on magic square Shatha A. Salman; Amal A. Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp1062-1069

Abstract

The article describes new algorithms for water retention using magic square, based on the properties of magic square which is defined as an n n matrix with positive entries enabling to pouring amounts of water over the magic square and measuring the amount of water that does not leak out of the square. The new method effectiveness evaluation is confirmed by the calculation in many applications; one of them is water retention.
Distribution Power Loss Minimization via Distributed Generation, Capacitor and Network Reconfiguration Mohd Nabil Bin Muhtazaruddin; Nurul Aini Bani; Siti Armiza Mohd Aris; Hazilah Mad Kaidi; Abdul Yasser Abd Fatah; Jasrul Jamani Jamia; Firdaus Muhammad-Sukki; Siti Hawa Abu-Bakar
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp488-495

Abstract

This paper presents a solution to solve the network reconfiguration, DG coordination (location and size) and capacitor coordination (location and size), simultaneously. The proposed solution will be determined by using Artificial Bee Colony (ABC). Various case studies are presented to see the impact on the test system, in term of power loss reduction and also voltage profiles. The proposed approach is applied to a 33-bus test system and simulate by using MATLAB programming. The simulation results show that combination of DG, capacitor and network reconfiguration gives a positive impact on total power losses minimization as well as voltage profile improvement compared to other case studies.
A Study of Secured Enabled Passive Optical Network Enabling RoF M. Deepak
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp43-48

Abstract

Innovation is an incorporation of radio sign in optical fiber transmission inside of system foundations that are thought to be financially savvy, pragmatic and moderately adaptable framework setup for whole deal transport remote signs. This venture proposes a Next era PON construction modeling backings RoF and OFDMA signal coordination without WDM lasers, and exhibit that 10-Gb/s OFDMA and three RF signals at 2.1GHz are transmitted more than 20km SMF in a 32-ONU in both upstream and downstream bearing. A security control unit and an optical switch are utilized associating four Optical Line Terminations (OLTs) with everyone serving just 32 Optical Network Units (ONUs). Insurance control unit gathers data of ONUs served by each OLT, and when an OLT falls flat, it will educate an active OLT to help its unique ONUs together with the burden served by the fizzled OLT.
Investigation of the static current gain for InP/InGaAs single heterojunction bipolar transistor Jihane Ouchrif; Abdennaceur Baghdad; Aicha Sshel; Abdelmajid Badri; Abdelhakim Ballouk
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1345-1354

Abstract

Heterojunction Bipolar Transistors are being used increasingly in communication systems due to their electrical performances. They are considered as excellent electronic devices. This paper presents an investigation of the static current gain β based on two technological parameters related to the device geometry for InP/InGaAs Single Heterojunction Bipolar Transistor (SHBT). These parameters are the base width  and the emitter length . We used Silvaco’s TCAD tools to design the device structure, and to extract the static current gain β from I-V output characteristics figures. According to this investigation, we determined the optimal values of the examined parameters which allow obtaining the highest static current gain β.
Learning Vector Quantization Image for Identification Adenium Resty Wulanningrum; Bagus Fadzerie Robby
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp383-389

Abstract

Information and technology are two things that can not be separated and it has become a necessity for human life. Technology development at this time was not only used for intelligence purposes only, but has penetrated the world of holtikurtura. Adenium is one of the plants are much favored by ornamental plants lovers. Many of cultivation adenium who crosses that appear new varieties that have the color and shape are similar to each other. From this case, then made an application that can identify the type of adenium based on the image of that flower. Learning Vector quantization is one of the algorithm  that used for clustering. Based on test scenarios were performed, image identification applications Adenium petals produce an accuracy of 86.66% with a number of training dataset of 135 images and datasets with a test as many as 45 images max epoch 10 and learning rate between 0.01 to 0.05.
Side-Channel Security on Key Exchange Protocol: Timing and Relay Attacks Mohd Anuar Mat Isa; Habibah Hashim; Syed Farid Syed Adnan; Nur Nabila Mohamed; Yasin Fitri Alias
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp688-695

Abstract

The advancing of Key Exchange Protocol (KEP) is compulsory to secure the connected world via Internet of Thing (IoT), cryptocurrency and blockchain, virtual intelligent, smart computing etc. To address the security issues in the Internet based computing systems, this paper explores the side-channel security for KEP, namely timing and relay attacks. Nowadays, various KEP variances are used by internet protocol such as IKEv2/3. The purpose of KEP is to enable a secret key(s) sharing between two or more computing systems on unsecure network. Later, the secret key(s) is used to encrypt all data transmitted for online systems such as internet banking, cryptocurrency transaction, IoT services etc. The timing attack was addressed by an adversary model and security assumptions. The relay attack on KEP was tested by an experiment testbed between a key fob and car using Raspberry Pi and RF module. The experiment result has shown that the propagation delay of KEP on RF communication is increased by 100% for each relay node. If the KEP runtime is increased greater than 50%, the KEP authentication key should be discarded to prevent the attacker from gaining access to the car.
An evaluation of the accelerometer output as a motion artifact signal during photoplethysmograph signal processing control Muhideen Abbas Hasan; Munther Naif Thiyab; Settar S. Keream; Uzba H, Salaman; Kaleid W. Abid
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp125-131

Abstract

Photoplethysmography (PPG) sensors are widely used in medical applications due to their attractive properties such as non-invasiveness, inexpensive, and easy setup. However, they are still inefficient in non-stationary states of important measurements related to cardiovascular assessment.  Adaptive noise cancellation (ANC) has existed as a kind of technique to address this issue. Unfortunately, the traditional 3-Axis Accelerometer (ACC) in ANC implementation has failed to provide the real motion artifact (MA) as the main factor for efficient adaptive filtering. In this work, the performance of ACC will be investigated and compared with a new twin photodiodes PPG probe design (TPs-PPD) that has been proven in previous work. The TPs-PPD contained an added covered photodiode (CPD) customized to obtain the MA instead of classic use of ACC. During different motions, PPG data were recorded and processed at the same time by the same two units of adaptive filters using ACC and CPD as noise references. The results indicated a clear failure of the ACC compared to the CPD in determining important features of PPG signal, in addition to the accuracy of signal to noise ratio (SNR) and mean square error (MSE). The CPD was better than ACC as it reduced the MSE by 14 times while the SNR was multiplied 10 times. Without any doubt, it has been proven with evidence that the ACC is not suitable for the processing of human health-related signals while PPG can be used for such purposes.

Page 505 of 918 | Total Record : 9174

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