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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Mechatronics, Electrical Power, and Vehicular Technology Jurnal INKOM Jurnal Elektronika dan Telekomunikasi International Journal of Electronics and Communications Systems
Dayat Kurniawan
Research Center for Electronics and Telecommunication, Indonesian Institute of Sciences, Kampus LIPI, Jl. Sangkuriang, Gd. 20, Bandung 40135
Computer Science & IT Electrical & Electronics Engineering Engineering

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Classification of Radar Environment Using Ensemble Neural Network with Variation of Hidden Neuron Number Rohman, Budiman Putra Asmaur; Kurniawan, Dayat
Jurnal Elektronika dan Telekomunikasi Vol 17, No 1 (2017)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.19-24

Abstract

Target detection is a mandatory task of radar system so that the radar system performance is mainly determined by its detection rate. Constant False Alarm Rate (CFAR) is a detection algorithm commonly used in radar systems. This method is divided into several approaches which have different performance in the different environments. Therefore, this paper proposes an ensemble neural network based classifier with a variation of hidden neuron number for classifying the radar environments. The result of this research will support the improvement of the performance of the target detection on the radar systems by developing such an adaptive CFAR. Multi-layer perceptron network (MLPN) with a single hidden layer is employed as the structure of base classifiers. The first step of this research is the evaluation of the hidden neuron number giving the highest accuracy of classification and the simplicity of computation. According to the result of this step, the three best structures are selected to build an ensemble classifier. On the ensemble structure, all of those three MLPN outputs then be collected and voted for getting the majority result in order to decide the final classification. The three possible radar environments investigated are homogeneous, multiple-targets and clutter boundary. According to the simulation results, the ensemble MLPN provides a higher detection rate than the conventional single MLPNs. Moreover, in the multiple-target and clutter boundary environments, the proposed method is able to show its highest performance.
Design and Development of a Control System for Nanofiber Electrospinning Kurniawan, Dayat; Adhi, Purwoko; Nasir, Muhammad
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1404.817 KB) | DOI: 10.14203/j.mev.2013.v4.65-74

Abstract

This paper describes the development of a control hardware and software for a nano-fiber electro-spinning system. The hardware consists of motor driver boards, a high DC voltage board, and a main control board. The user interface software on PC is developed using Visual Studio C # 2010 express edition. The motor driver boards are controlled by an ATmega8 microcontroller IC, while the main board is controlled by an ATmega 128 microcontroller IC. Communication between the main board and the motor driver boards uses the inter integrated circuit (I2C), while communication between PC and the main board uses a serial communication at a baud rate of 9,600 bps. The high DC voltage generator is designed to have an output of 0-25 kV. High DC voltage output is configurable by giving a combination of low logic and high impedance into a six bit input. The result show that maximum output of high DC voltage is 25.025 kV with formula of curve is y = 1x – 0.0244 with R2 = 0.9998 and PC software interface can work very well. Polymer flow rate can be configured from PC interface software via I2C connected to the main board. The flow rate y follows the RPM setting x, according to the formula y = 0.954x – 0.0099 with R2 = 1. The results of scanning electron microscope (SEM) for morphology analysis of PVDF copolymer composite nano-fiber shows that the average diameter of the resulted fiber is 136.43 nm, when output high DC voltage is set to 15 kV and speed of syringe pump is set to 5 RPM.  
Rancang Bangun Kontrol IC LMS6002 pada RF Modul LTE (Long Term Evolution) Kurniawan, Dayat; Suleman, Yaya; Syamsu, Iqbal; Yudi H, Asep
INKOM Journal Vol 7, No 1 (2013)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1394.711 KB) | DOI: 10.14203/j.inkom.212

Abstract

Tulisan ini menjelaskan tentang pengembangan perangkat lunak untuk mengkonfigurasi RF IC LMS6002D. Chip IC LMS6002D merupakan IC RF yang dapat diaplikasikan pada sistem GSM, WiMAX, LTE, serta memiliki berbagai fitur seperti: programmable bandwidth modulation, internal ADC/DAC 12 bit, dan rentang frekuensi 0,3 - 3,8 GHz. Modul sasakala-M328 dengan mikrokontroler ATMega328 (dari Atmel) telah digunakan untuk mengkonfigurasi IC LMS6002D melalui 4 jalur (wire) komunikasi SPI (Serial Periperal Interface), yaitu SS, SCLK, MOSI, dan MISO. Konfigurasi IC LMS6002D dilakukan pada laptop/PC untuk menghasilkan program GUI (Graphical User Interface) dengan  menggunakan Visual C#. Paket data dari laptop/PC ditransfer ke modul sasakala-M328 secara serial melalui port USB (USB to Serial), yang selanjutnya diteruskan oleh modul ke IC LMS6002D. Komunikasi SPI dilakukan dalam 16 kali clock, dimulai dengan  memberikan logika low pada jalur SS. Delapan bit pertama adalah identifier yang  menentukan modus read/write dan 8 bit berikutnya adalah data. Data dikirim mulai dari MSB dengan posisi clock pada tepi naik. Frekuensi clock SPI yang digunakan adalah  maksimum 50MHz dengan level tegangan maksimum 3.3V.Kata kunci: kontroller LMS6002D, modul RF, LTE (long term evolution), level tegangan, frekuensi clock
Online Monitoring Kualitas Air pada Budidaya Udang Berbasis WSN dan IoT Maulana, Yudi Yuliyus; Wiranto, Goib; Kurniawan, Dayat
INKOM Journal Vol 10, No 2 (2016)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.388 KB) | DOI: 10.14203/j.inkom.456

Abstract

Dalam tulisan ini dijelaskan desain dan pengembangan sistem online monitoring kualitas air berbasis wireless sensor Network (WSN) dan Internet of Things (IoT). Sistem ini didesain dan dikembangkan untuk memantau parameter DO (Dissolved Oxygen), pH, conductivity dan temperatur pada budidaya udang. Sistem terdiri dari beberapa node sensor dengan komponen utama arduino uno yang terhubung dengan Xbee board dan master board dengan komponen utamanya adalah Raspberry Pi 2 (RPi2) board dan Xbee. Data dikirim dari masing-masing node ke RPi2 menggunakan jaringan WSN dengan paket data yang dilengkapi dengan masing-masing ID, setelah itu data disimpan di database internal RPi2 dan ditampilkan di graph. Timer update server digunakan untuk update data dari RPi2 ke server menggunakan jaringan internet melalui wifi. Data di server dapat dilihat menggunakan website, selain itu juga data dapat dilihat pada aplikasi Telegram Messenger yang ter-install di perangkat ponsel. Program RPi2 dikembangkan menggunakan bahasa python dan komponen matplotlib. Hasil percobaan menunjukkan bahwa sistem memiliki prospek yang besar dan dapat digunakan untuk keperluan budidaya udang dengan memberikan informasi yang relevan dan tepat waktu. Data hasil pengumpulan tersebut dapat digunakan untuk penelitian dan analisa lebih lanjut. 
Robust automotive radar interference mitigation using multiplicative-adaptive filtering and Hilbert transform Asmaur Rohman, Budiman Putra; Suryadi Satyawan, Arief; Kurniawan, Dayat; Indrawijaya, Ratna; Bin Ali Wael, Chaeriah; Armi, Nasrullah
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp326-336

Abstract

Radar is one of the sensors that have significant attention to be implemented in an autonomous vehicle since its robustness under many possible environmental conditions such as fog, rain, and poor light. However, the implementation risks interference because of transmitting and/or receiving radar signals from/to other vehicles. This interference will increase the floor noise that can mask the target signal. This paper proposes multiplicative-adaptive filtering and Hilbert transform to mitigate the interference effect and maintain the target signal detectability. The method exploited the trade-off between the step-size and sidelobe effect on the least mean square-based adaptive filtering to improve the target detection accuracy, especially in the long-range case. The numerical analysis on the millimeter-wave frequency modulated continuous wave radar with multiple interferers concluded that the proposed method could maintain and enhance the target signal even if the target range is relatively far from the victim radar.
Autonomous radar interference detection and mitigation using neural network and signal decomposition Kurniawan, Dayat; Rohman, Budiman Putra Asmaur; Indrawijaya, Ratna; Wael, Chaeriah Bin Ali; Suyoto, Suyoto; Adhi, Purwoko; Firmansyah, Iman
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2854-2861

Abstract

Autonomous radar interference is a challenging problem in autonomous vehicle systems. Interference signals can decrease the signal-to-interference-noise ratio (SINR), and this condition decreases the performance detection of autonomous radar. This paper exploits a neural network and signal decomposition to detect and mitigate radar interference in autonomous vehicle applications. A neural network (NN) with four inputs, one hidden layer, and one output is trained with various signal-to-noise (SNR), interference radar bandwidth, and sweep time of autonomous radar. Four inputs of NN represent SNR, mean, total harmonic distortion (THD), and root means square (RMS) of the received radar signal. Variational mode decomposition (VMD) and zeroing based on a constant false alarm rate (CFAR-Z) are used to mitigate radar interference. VMD algorithm is applied to decompose interference signals into multi-frequency sub-band. As a result, the proposed neural network can detect radar interference, and NN-VMD-CFAR-Z can increase SINR up to 2dB higher than the NN-CFAR-Z algorithm.
Ground Penetrating Radar Data Inversion Using Dual-Input Convolutional Autoencoder for Ferroconcrete Inspection Rohman, Budiman Putra Asmaur; Nishimoto, Masahiko; Indrawijaya, Ratna; Kurniawan, Dayat; Firmansyah, Iman; Sukoco, Bagus Edy
Jurnal Elektronika dan Telekomunikasi Vol 24, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.642

Abstract

Ground penetrating radar (GPR) is a non-destructive tool for exploring an object buried underground. Currently, GPR is also considered for reinforced concrete inspection. However, the image produced by GPR can not be easily interpreted. Besides, the large observation of building concrete inspection also motivates the researchers to fastening and easing radar image interpretation. Thus,  this research proposes a new method to translate GPR scattering data image to its internal structure visualization. The proposed employs a convolutional autoencoder model using amplitude and phase radar data as input of the algorithm. As evaluation, in this stage, we perform numerical analysis by using finite-difference time-domain-based synthetic data that considers three cases: concrete with rebar, concrete with crack, and concrete with rebar and crack. All of those cases are simulated with randomized dimensions and positions that is possible in the real applications. Compared with the baseline method, our method shows superiority, especially in the semantic segmentation perspective. The parameter size of the proposed model is also much smaller, around one-third of the previous method. Therefore, the method is feasible enough to be implemented in real applications addressing an automatic internal structure reinforced concrete visulaization
Palm Tree Coplanar Vivaldi Antenna Array on the Same Substrate Size: Design and Performance Evaluation Nurhayati, Nurhayati; De Oliveira, Alexandre Manicoba; Yasin, Mohd Najib Bin Mohd; Kurniawan, Dayat
International Journal of Electronics and Communications Systems Vol. 2 No. 2 (2022): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v2i2.14221

Abstract

This paper aims to describe the performance of the palm tree Coplanar Vivaldi Antenna Array (CVA) that was simulated from 0.25-6.25 GHz in terms of return loss and radiation pattern. Palm Tree Coplanar Vivaldi Antenna is available in four different configurations: single-element, two-element array, four-element array, and an eight-element array. We create a feeding network and radiator patch for two, four, and eight-array antennas. The simulation results demonstrate that the single-element antenna has the best return loss performance and can cover all frequency work from 0.25-6.25 GHz. In contrast, the antenna array can only cover multiband frequency. At 3 GHz, a single-element antenna has a directivity of 8.77 dBi, a sidelobe level of -2.2 dB, and a beamwidth of 63.70. In contrast, an antenna array of 8 elements has a directivity of 15.5 dBi, a sidelobe level of -12.6 dB, and a beamwidth of 80. Using the same substrate size, by configuring the Vivaldi Coplanar antenna to be an array at a frequency of 3 GHz, the 1×8 array antenna has a 6.73dBi improvement in directivity, a 10.4 dB boost in side lobe level, and a 55.70 enhanced in beamwidth performance compared to a single element. According to the simulation findings, the radiation pattern performance of the. Palm Tree CVA is greater than a single element in the same substrate size. Good directivity, SLL, and beamwidth performance make the proposed Palm Tree CVA array suitable for integration in telecommunication, radar, or cognitive radio applications.
Co-Authors Bin Ali Wael, Chaeriah Budiman Putra Asmaur Rohman de Oliveira, Alexandre Manicoba Goib Wiranto, Goib Iman Firmansyah Indrawijaya, Ratna Iqbal Syamsu Nasrullah Armi Nishimoto, Masahiko Nurhayati Nurhayati Purwoko Adhi Siti Helmyati Solly Aryza Sukoco, Bagus Edy Suleman, Yaya Suryadi Satyawan, Arief Wael, Chaeriah Bin Ali Yasin, Mohd Najib Bin Mohd Yudi H, Asep Yudi Yuliyus Maulana, Yudi Yuliyus