Article
Multidisciplinary Sciences
Saeed Sharif Azadeh, Jason C. C. Mak, Hong Chen, Xianshu Luo, Fu-Der Chen, Hongyao Chua, Frank Weiss, Christopher Alexiev, Andrei Stalmashonak, Youngho Jung, John N. Straguzzi, Guo-Qiang Lo, Wesley D. Sacher, Joyce K. S. Poon
Summary: Laser beam scanning is crucial in many applications and the miniaturization of scanners into microchips has driven the development of photonic integrated circuits. However, achieving a compact size, broad wavelength operation, and low power consumption remains a challenge. In this study, we present a laser beam scanner that meets these requirements using microcantilevers embedded with silicon nitride nanophotonic circuitry. These microcantilevers demonstrate broadband, one- and two-dimensional steering of light with a wide range of wavelengths. The microcantilevers have a small area, consume low power, are easy to control, and emit a single light beam. They are integrated on silicon wafers, enabling versatile, power-efficient, and broadband laser scanner microchips.
NATURE COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Kirti Tripathi, Harsh Sohal, Shruti Jain
Summary: A low power Electrocardiogram (ECG) pre-processor is proposed in this paper to extract useful information from biomedical signals. The design uses a window-based approach and consumes less power and resources of FPGA. The study compares different window functions and filter architectures, and it is concluded that the symmetric Bartlett window performs better. The proposed design is recommended for wearable and portable biomedical equipment.
IETE JOURNAL OF RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Yee Kit Chan, Yung Chong Lee, Voon Chet Koo
Summary: The study aims to design and develop an efficient digital SAR processor using FPGA. By implementing an FFT/IFFT coprocessor, the processor achieves optimum performance in image formation and reduces hardware usage.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Su-Jung Lee, Gil-Ho Kwak, Tae-Hwan Kim
Summary: A binary convolutional neural network (BCNN) is designed for efficient visual imagery analysis in low-cost resource-limited devices. This study introduces an inference processor named TORRES for BCNNs, which skips operations efficiently based on the spatial locality in feature maps to achieve high efficiency. The prototype system has been implemented on a 28 nm field-programmable gate array, demonstrating resource efficiency.
Article
Computer Science, Hardware & Architecture
Wei-Pei Huang, Ray C. C. Cheung, Hong Yan
Summary: This article demonstrates an efficient and unified processing element array optimized for 3-D tensor computation, reducing data movement and runtime in various study cases.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Xumeng Liu, Guanghui Ren, Xingyuan Xu, Aditya Dubey, Timothy Feleppa, Andreas Boes, Arnan Mitchell, Arthur Lowery
Summary: Photonic integrated circuits (PICs) with small footprints have advanced signal processing functions, but their operation is affected by fabrication tolerances and dynamic thermal and acoustic effects. This study demonstrates a 'dial-up' PIC filter that uses an on-chip optical reference path to accurately implement a wide range of filter functions. The method utilizes an independent feedback algorithm to control each tap in a finite impulse response (FIR) filter and enables the identification of phase and amplitude for each tap.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Optics
Gaolei Hu, Keyi Zhong, Yue Qin, Hon Ki Tsang
Summary: The authors propose and demonstrate a silicon photonic integrated circuit (PIC) for exciting spatial modes in a multimode-fiber (MMF) speckle imaging system. The PIC consists of an optical phased array and an array of nanoantennas to bridge the PIC and MMF. The nanoantenna array can excite a wide range of spatial modes in the MMF with low loss. The use of the proposed PIC achieves high spatial resolution in the MMF imaging system.
Article
Computer Science, Information Systems
Lin Huang, Xingguang Geng, Hao Xu, Yitao Zhang, Zhiqiang Li, Jun Zhang, Haiying Zhang
Summary: This paper proposes an interference signal recognition algorithm for sensor arrays based on a convolutional neural network (CNN), addressing the problem of interference signal identification by establishing a mechanical structure model and designing a CNN model, laying the foundation for accurate analysis, miniaturization, and portability of equipment.
Article
Optics
Ziran Zhang, Haoying Li, Guomian Lv, Hao Zhou, Huajun Feng, Zhihai Xu, Qi Li, Tingting Jiang, Yueting Chen
Summary: This study introduces a deep learning-based method to improve the image quality of Photonic Integrated Interferometric Imaging (PIII), achieving high-quality spatial image generation through frequency-domain dataset generation and spatial-frequency dual-domain fusion networks, resulting in improved PSNR and SSIM.
Article
Multidisciplinary Sciences
Sunil Pai, Zhanghao Sun, Tyler W. Hughes, Taewon Park, Ben Bartlett, Ian A. D. Williamson, Momchil Minkov, Maziyar Milanizadeh, Nathnael Abebe, Francesco Morichetti, Andrea Melloni, Shanhui Fan, Olav Solgaard, David A. B. Miller
Summary: Integrated photonic neural networks offer a promising and energy-efficient platform for machine learning with wide-ranging scientific and commercial applications. By combining Mach-Zehnder interferometer mesh networks with nonlinearities, photonic neural networks efficiently transform optically encoded inputs. We experimentally trained a three-layer, four-port silicon photonic neural network using programmable phase shifters and optical power monitoring, achieving high accuracy comparable to digital simulations in image recognition tasks.
Article
Engineering, Electrical & Electronic
Jingwei Song, Yan Li, Jifang Qiu, Xiaobin Hong, Hongxiang Guo, Zhisheng Yang, Jian Wu
Summary: A novel low-complexity combined resampling, retiming and equalizing (RRE) algorithm is proposed in this paper. The RRE algorithm uses a single FIR filter for resampling, retiming and equalizing, resulting in lower complexity. The algorithm achieves lower error vector magnitude (EVM) and complexity compared to traditional time-domain and frequency-domain schemes. Additionally, the RRE algorithm enables a high-speed coherent optical receiver based on a single FPGA chip.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Optics
Juan Zhang, Zhengyong Ji, Zhiyuan Wu, Yang Wang
Summary: This paper proposes a simple and effective calculation method for the transmission characteristics of PPIWMs, which can help analyze reconfigurable photonic circuits with larger scale and higher complexity.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Optics
Pengxing Guo, Niujie Zhou, Weigang Hou, Lei Guo
Summary: This paper introduces StarLight, a photonic artificial neural network (ANN) accelerator that achieves low power consumption and high inference throughput. It utilizes photonic 'in-memory' computing and hybrid mode-wavelength division multiplexing (MDM-WDM) technologies. The proposed accelerator features nanophotonic non-volatile memory and passive microring resonators (MRs) for optical 'in-memory' multiplication operation with near-zero power consumption. Additionally, an on-chip wavelength and mode hybrid multiplexing module is designed to increase computational parallelism. The simulation results demonstrate the efficacy of StarLight in achieving low energy consumption hardware accelerators for data-intensive artificial intelligence (AI) applications.
Article
Green & Sustainable Science & Technology
Prateek Sikka
Summary: This study presents a real-time implementation of the MUSIC algorithm on FPGA using a novel HLS-based design approach, optimizing the bit widths for eigen value decomposition. The proposed design achieves faster DOA estimation than reported values, with less resource utilization on the target FPGA. The optimized implementation on Xilinx Zynq FPGA performs in less than 1.7 μs, 15% faster than other implementations, while using 30% less resources.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Chemistry, Analytical
Adam Shebindu, Himali Somaweera, Zachary Estlack, Jungtae Kim, Jungkyu Kim
Summary: This study introduces a programmable microfluidic platform (PMP) combined with isotachophoresis (ITP) for fully automated optimization of multiple analytes. By utilizing lifting-gate microvalve technology, a two-dimensional microvalve array was designed and fabricated to seamlessly integrate with an ITP chip for automated buffer selection and repetitive ITP procedures. The optimal buffer combination of 40mM borate and 100mM Tris-HCl successfully preconcentrated all analytes during a single ITP run.