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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

Noise Analysis in VLC Optical Link based Discrette OP-AMP Trans-impedance Amplifier (TIA) Syifaul Fuada; Trio Adiono; Angga Pratama Putra; Yulian Aska
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.5737

Abstract

To design Visible Light Communication (VLC) system, there are several requirements that needs to be met. One of the requirements is an active component selection (e.g. Op Amp). As an ideal communication system, VLC system has to be able to provides wide bandwidth access with minimum noise. The Transimpedance amplifiers (TIAs) is one of main components in optical system which is placed in the first stage of receiver system. It is used to convert the current output from photodiode to voltage. We have designed a 1 MHz fGBW TIA with low noise (in μVrms range). This paper aims to explain the design and implementation of TIA circuit with photovoltaic topology which cover empirical calculations and simulation of TIA’s bandwidth and its noise sources, i.e. resistor feedback noise, current noise, voltage noise and total noise based on RSS. The OP-AMP is chosen from Texas Instruments product, OPA 380, and photodiode is chosen from OSRAM, SFH213, then simulated by TINA-TI SPICE® software. The noise in TIA circuit is analyzed clearly. The developed kit is ready to be implemented in VLC system.
Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation Catherine Olivia Sereati; Arwin Datumaya Wahyudi Sumari; Trio Adiono; Adang Suwandi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14835

Abstract

The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with artificial cognitive ability has also been discovered in 2016. The architecture of the processor was designed based on knowledge growing system (KGS) algorithm, a new concept in artificial intelligence (AI) which is focused on the emulation of the process of the growing of knowledge in human brain after getting new information from human sensory organs. KGS is considered as the main method of a new perspective in AI called as cognitive artificial intelligence (CAI). The design is to obtain the architecture of the data path of the processor. We found that the complexity of the processor circuit is determined by the number of combinations of sensors and hypotheses as the main inputs to the processor. This paper addresses the development of an intelligence processor based on cognitive AI in order to realize an Intelligence Instrumentation System. The processor is implemented in field programmable gate array (FPGA) and able to perform human thinking emulation by using KGS algorithm.
Architecture design for a multi-sensor information fusion processor Catherine Olivia Sereati; Arwin Datumaya Wahyudi Sumari; Trio Adiono; Adang Suwandi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10180

Abstract

This paper discusses the design of the architecture of an information fusion processor. This processor emulates the way of human thinking, namely by drawing conclusions from the obtained collection of information. Architecture design for this processor is based on Knowledge Growing System (KGS) algorithm. KGS is a novelty in Artificial Intelligence field. Compared to other AI methods, KGS focuses on the observation of the process of the knowledge growth within human brain based on information received from the surrounding environment. By using KGS algorithm, this processor works by receiving inputs from a set of sensors and possible hypotheses obtained after the processing of the information. The processor generates a value which is called as Degree of Certainty (DoC), which show the most possible hypothesis among all alternative ones. The Processor Elements which are used to perform KGS algorithm is designed based on systolic array architecture. The design of this processor is realized with VHSIC Hardware Design Language (VHDL) and synthesized by using FPGA Quartus II.13.1. The results show that the data path which has been design is able to perform the mechanism of KGS computation.
Co-Authors Abdurrahman, Imran Adang Suwandi Ahmad Adijarto, Waskita Adinugraha, Erick Aditia Rifai Aditya F. Ardyanto Afandi, Najma Khansa Alya Agung, Anton Toni Agung, Anton Toni Ahmad Zaky Ramdani Alfi, Feiza Angga Pradana Angga Pradana Angga Pradana Angga Pratama Putra Angga Pratama Putra Angga Pratama Putra Angga Pratama Putra Angga Pratama Putra, Angga Pratama Arwin Datumaya Wahyudi Sumari Bambang Riyanto Trilaksono Braham Lawas Lawu Catherine Olivia Sereati Dawani, Febri Erick Adinugraha Erwin Setiawan Erwin Setiawan Erwin Setiawan, Erwin Fadjar Rahino Triputra Fadjar Rahino Triputra, Fadjar Rahino Farkhad Ihsan Hariadi Fathany, Maulana Yusuf Guno, Yomi Hans G. Kerkhoff Hans Kasan Hans Kasan Hariadi, Farkhad Ihsan Haslina Arshad Hidayat, Asyaraf Hiroaki Kunieda Idham Hafizh Imran Abdurrahman Infall Syafalni Irfan Gani Purwanda Joko Suryana Kasan, Hans Khilda Afifah Leonardi Paris Hasugian Maulana Yusuf Fathany Maulana Yusuf Fathany Maulana Yusuf Fathany Mohamad Dahsyat Mohamad Dahsyat, Mohamad Muhammad Arif Sulaiman Muhammad Husni Santriaji Nur Afyfah Suwadi Nur Ahmadi Nur Ahmadi Nurfitri Anbarsanti Octaviany, Siti Vivi Pamungkas, Sandi Purwanda, Irfan Gani Rachmad Vidya Wicaksana Putra Rachmad Vidya Wicaksana Putra Rachmad Vidya Wicaksana Putra Rachmad Vidya Wicaksana Putra Rachmad Vidya Wicaksana Putra Rachmad Vidya Wicaksana Putra Rachmad Vidya Wicaksana Putra Rella Mareta Rianto Adhy Sasongko Rianto Adhy Sasongko, Rianto Adhy Rifai, Aditia Ruzzakiah Jenal Septian G. P. Putra Sinantya Feranti Anindya SINANTYA FERANTI ANINDYA, SINANTYA FERANTI Suksmandhira Harimurti Sulaiman, Muhammad Arif Syifaul Fuada Waskita Adijarto Yulian Aska Yulian Aska Yulian Aska Yulian Aska Yulian Aska, Yulian Zainal Rasyid Mahayuddin