Search Results - "Adiono, Trio"

Fast and Scalable Multicore YOLOv3-Tiny Accelerator Using Input Stationary Systolic Architecture by Adiono, Trio, Ramadhan, Rhesa Muhammad, Sutisna, Nana, Syafalni, Infall, Mulyawan, Rahmat, Lin, Chang-Hong

“…This article proposes a scalable accelerator for deep learning (DL) implementation on edge computing, which is often limited by power, storage, and computation…”
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Low-Cost and Portable Smartphone-Assisted Indonesian Electronic Identity (e-KTP) Verification System by Fuada, Syifaul, Adiono, Trio, Soemantoro, Lidia Novariani Svantyana

“…The national electronic identity (e-ID) for citizen data verification has seen widespread use in the last several years, including in Indonesia, which has a…”
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A Comprehensive Design of Hybrid Residual (2+1)-Dimensional CNN and Dense Networks With Multi-Modal Sensor for Fish Appetite Detection by Syafalni, Infall, D'Sky, Agape, Sutisna, Nana, Adiono, Trio

“…Fish is one of the most demanding protein sources in the food industry. However, the increasing demand must be followed by increasing production efficiency…”
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Efficient Real-Time Smart Keyword Spotting Using Spectrogram-Based Hybrid CNN-LSTM for Edge System by Syafalni, Infall, Amadeus, Clarence, Sutisna, Nana, Adiono, Trio

“…Keyword Spotting (KWS) is the task of recognizing spoken command words from a database. With recent application human-machine interactions, KWS systems require…”
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Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning by Baejah, Ahmadi, Nur, Mulyawan, Rahmat, Adiono, Trio

“…Indoor localization systems are critical in various domains, particularly healthcare, where real-time monitoring of elderly and dementia patients is essential…”
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Optimized Multiple-Bit-Flip Soft-Errors-Tolerant TCAM using Machine Learning by Syafalni, Infall, Adiono, Trio

“…Soft errors from radiations can change the data in electronic devices especially memory cells such as in TCAMs. The soft errors cause bit-flip errors that…”
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Low Latency YOLOv3-Tiny Accelerator for Low-Cost FPGA Using General Matrix Multiplication Principle by Adiono, Trio, Putra, Adiwena, Sutisna, Nana, Syafalni, Infall, Mulyawan, Rahmat

“…This paper presents a comprehensive hardware accelerator architecture of YOLOv3-Tiny targeted for low-cost FPGA with a high frame rate, high accuracy, and low…”
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Efficient Homomorphic Encryption Accelerator With Integrated PRNG Using Low-Cost FPGA by Syafalni, Infall, Jonatan, Gilbert, Sutisna, Nana, Mulyawan, Rahmat, Adiono, Trio

“…With recent development in internet speed and reliability, cloud computing has become a more reliable solution for the user. In many cases where data privacy…”
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An On-Chip Relaxation Oscillator With Comparator Delay Compensation by Chang, Yi-An, Adiono, Trio, Hamidah, Amy, Liu, Shen-Iuan

“…In this brief, a relaxation oscillator with comparator delay compensation is presented. Two digital compensation loops are introduced to compensate for the…”
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Respinos: A Portable Device for Remote Vital Signs Monitoring of COVID-19 Patients by Adiono, Trio, Ahmadi, Nur, Saraswati, Citrya, Aditya, Yudi, Yudhanto, Yusuf Purna, Aziz, Abdillah, Wulandari, Laksmi, Maranatha, Daniel, Khusnurrokhman, Gemilang, Riadi, Agustinus Rizki Wirawan, Sudjud, Reza Widianto

“…The rapidly increasing number of COVID-19 patients has posed a massive burden on many healthcare systems worldwide. Moreover, the limited availability of…”
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Comparative Study of Frequency-based Modulations for Visible Light Communication by Gutema, Tilahun Z., Chen, Jianhui, Adiono, Trio, Popoola, Wasiu O.

“…This work presents a comparative study of frequency-based modulation techniques for visible light communication (VLC). The study focuses on frequency shift…”
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Demonstrating a real–time QAM–16 visible light communications utilizing off-the-shelf hardware by Fuada, Syifaul, Pradana, Angga, Adiono, Trio, Popoola, Wasiu O.

“…This study aims to design, implement, and demonstrate a one-way real-time VLC system through DCO-OFDM using QAM–16 as the Mapper (Modulator). The system was…”
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FARANE-Q: Fast Parallel and Pipeline Q-Learning Accelerator for Configurable Reinforcement Learning SoC by Sutisna, Nana, Ilmy, Andi M. Riyadhus, Syafalni, Infall, Mulyawan, Rahmat, Adiono, Trio

“…This paper proposes a FAst paRAllel and pipeliNE Q-learning accelerator (FARANE-Q) for a configurable Reinforcement Learning (RL) algorithm implemented in a…”
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FPGA Implementation of SFO for OFDM-based Network Enabled Li-Fi System by Adiono, Trio, Setiawan, Erwin, Jonathan, Michael, Mulyawan, Rahmat, Sutisna, Nana, Syafalni, Infall, Popoola, Wasiu O.

“…Light Fidelity (Li-Fi) is the complementary technology to the RF based communication in 6G. It uses optical spectrum which is completely free and unregulated…”
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Low-Complexity and High-Throughput Number Theoretic Transform Architecture for Polynomial Multiplication in Homomorphic Encryption by Sutisna, Nana, Brillianshah, Elkhan J., Syafalni, Infall, Hasanuddin, M. Ogin, Adiono, Trio, Juhana, Tutun

“…The computationally intensive of polynomial ring multiplication in homomorphic encryption (HE) schemes demand an optimized hardware accelerator design,…”
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A Scalable Design of a Full-Stack Real-Time OFDM Baseband Processor for Network-Enabled VLC Systems by Adiono, Trio, Setiawan, Erwin, Jonathan, Michael, Mulyawan, Rahmat, Sutisna, Nana, Syafalni, Infall, Popoola, Wasiu O.

“…Visible Light Communication (VLC) system, a wireless system that utilizing the visible light spectrum to transmit data has been considered to become a…”
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Efficient Android Software Development Using MIT App Inventor 2 for Bluetooth-Based Smart Home by Adiono, Trio, Anindya, Sinantya Feranti, Fuada, Syifaul, Afifah, Khilda, Purwanda, Irfan Gani

“…In this paper, a specific Android application for Bluetooth-based smart home system is presented. The aim of this research is to design, develop, and evaluate…”
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The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method by Naufal, Dziban, Pramudyo, Miftah, Rajab, Tati Latifah Erawati, Setiawan, Agung Wahyu, Adiono, Trio

“…This study aims to determine the performance of variational mode decomposition (VMD) combined with detrended fluctuation analysis (DFA) as a hybrid framework…”
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Correction to: The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method by Naufal, Dziban, Pramudyo, Miftah, Rajab, Tati Latifah Erawati, Setiawan, Agung Wahyu, Adiono, Trio

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Improved Spike-Based Brain-Machine Interface Using Bayesian Adaptive Kernel Smoother and Deep Learning by Ahmadi, Nur, Adiono, Trio, Purwarianti, Ayu, Constandinou, Timothy G., Bouganis, Christos-Savvas

“…Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most…”
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