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  1. Article ; Online: Light People: Professor Cheng Zhang.

    Guo, Siqiu

    Light, science & applications

    2023  Volume 12, Issue 1, Page(s) 244

    Abstract: Editorial: Nanophotonics has emerged as a cutting-edge interdisciplinary research field today. Its primary objective is to leverage the interaction between light and matter at the wavelength and sub-wavelength scales, with the purpose of designing and ... ...

    Abstract Editorial: Nanophotonics has emerged as a cutting-edge interdisciplinary research field today. Its primary objective is to leverage the interaction between light and matter at the wavelength and sub-wavelength scales, with the purpose of designing and manufacturing miniaturized, multifunctional, and high-performance optical devices and systems. Professor Cheng Zhang from Huazhong University of Science and Technology has dedicated his career to nanophotonic device research. His work encompasses a wide range of areas, including plasmonic devices, optical metamaterials, and metasurfaces. Through the design of innovative artificial electromagnetic structures and the exploration of emerging nanofabrication techniques, Professor Cheng Zhang has effectively achieved versatile control over various properties of electromagnetic waves, including amplitude, phase, and polarization states. Furthermore, his research extends to the continuous exploration of novel optical phenomena, aimed at realizing high-performance engineering applications. In this edition of Light People, we will take you deep into the world of Professor Cheng Zhang, a young scientist exemplifying the spirit of innovation, relentless improvement, and unwavering pursuit of excellence. You will discover how he has overcome numerous challenges in the realm of nanophotonic research.
    Language English
    Publishing date 2023-10-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2662628-7
    ISSN 2047-7538 ; 2047-7538
    ISSN (online) 2047-7538
    ISSN 2047-7538
    DOI 10.1038/s41377-023-01291-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Light People: Professor Fan Wang.

    Guo, Siqiu

    Light, science & applications

    2023  Volume 12, Issue 1, Page(s) 214

    Abstract: Editorial: My first encounter with Prof. Fan Wang left a profound impression on me. I felt that he was exactly the gentle and courteous scholar depicted in books, well-read in poetry and literature, and exceptionally talented. Through my interactions ... ...

    Abstract Editorial: My first encounter with Prof. Fan Wang left a profound impression on me. I felt that he was exactly the gentle and courteous scholar depicted in books, well-read in poetry and literature, and exceptionally talented. Through my interactions with Prof. Fan Wang, I deeply sensed his passion for academia and pursuit of knowledge, as well as his warm hospitality, kindness, and gentle demeanor.His thinking is profound and broad, capable of examining issues from various perspectives, and providing inspiration. Prof. Fan Wang is a leading young scientist who actively engages in various academic activities, concerns himself with cutting-edge technological issues, and dedicates himself to overcoming research challenges that can drive advancements and developments in optoelectronics, biophotonics and nanomaterials.Prof. Fan Wang's talent, knowledge, character, and sense of family responsibility all fill me with admiration and respect. Now, let's step into the world of Light People Prof. Fan Wang and together, appreciate the brilliance of his carefree and extraordinary life.
    Language English
    Publishing date 2023-09-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2662628-7
    ISSN 2047-7538 ; 2047-7538
    ISSN (online) 2047-7538
    ISSN 2047-7538
    DOI 10.1038/s41377-023-01263-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Light People: Professor Baohua Jia.

    Guo, Siqiu

    Light, science & applications

    2022  Volume 11, Issue 1, Page(s) 259

    Abstract: Editorial: Integrated photonics means integrating multiple photonic functions on a single Photonic Integrated Chip (PIC). Empowered by various nanofabrication techniques on diverse innovative material platforms, remarkable advances have been made in ... ...

    Abstract Editorial: Integrated photonics means integrating multiple photonic functions on a single Photonic Integrated Chip (PIC). Empowered by various nanofabrication techniques on diverse innovative material platforms, remarkable advances have been made in integrated photonics in the last decade. Light: Advanced Manufacturing (LAM) is a new, highly selective, open-access, and free of charge international sister journal of the Nature Journal Light: Science & Applications (Light). LAM aims to publish original innovative research papers and timely, state-of-the-art reviews in all modern areas of preferred light-based manufacturing, including fundamental and applied research as well as industrial innovations. LAM is organizing a special issue on integrated photonics, in order to capture the most exciting cutting edge advances in integrated photonics, including new material platforms, new fabrication and characterization technologies, new device architectures, new design principle of miniaturized components, nanophotonic devices, and their potential applications. We are very honored to feature Prof. Baohua Jia, the lead guest editor of this special issue, as this issue's Light People. She is the Director of Center for Atomaterial Sciences and Technologies at Royal Melbourne Institute of Technology (RMIT) University and a top-level Future Fellow funded by the Australian Research Council. Her research focuses on fundamental light and nanomaterial interaction. In particular, her work on laser manipulation of two-dimensional materials has led to the design and fabrication of functional nanostructures and nanomaterials for effective harnessing and storage of clean energy from sunlight, purifying water and air for clean environment and imaging and spectroscopy and nanofabrication using ultrafast laser towards fast-speed all-optical communications and intelligent manufacturing. She is an elected Fellow of Optica (formally known as OSA) and an elected Fellow of the Institute of Materials, Minerals, and Mining. She serves on the College of Expert for the Australian Research Council since 2019. Now please follow Light scientific editor to enter Prof. Jia's academic world.
    Language English
    Publishing date 2022-08-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2662628-7
    ISSN 2047-7538 ; 2047-7538
    ISSN (online) 2047-7538
    ISSN 2047-7538
    DOI 10.1038/s41377-022-00948-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight.

    Guo, Siqiu / Zhang, Tao / Song, Yulong / Qian, Feng

    Sensors (Basel, Switzerland)

    2018  Volume 18, Issue 4

    Abstract: This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes ... ...

    Abstract This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes the algorithm insensitive to the target non-rigid deformation, scale variation, and rotation. Meanwhile, the influence of partial obstruction on the description of target features is reduced. The particle swarm optimization algorithm can complete the multi-peak search, which can cope well with the object occlusion tracking problem. This means that the target is located precisely where the similarity function appears multi-peak. When the particle swarm optimization algorithm is applied to the object tracking, the inertia weight adjustment mechanism has some limitations. This paper presents an improved method. The concept of particle maturity is introduced to improve the inertia weight adjustment mechanism, which could adjust the inertia weight in time according to the different states of each particle in each generation. Experimental results show that our algorithm achieves state-of-the-art performance in a wide range of scenarios.
    Language English
    Publishing date 2018-04-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s18041292
    Database MEDical Literature Analysis and Retrieval System OnLINE

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