High-Q chalcogenide racetrack resonators based on the multimode waveguide

Wang, Zhiyuan; Yang, Zhen; Wang, Haoxian; Zhang, Wei; Wang, Rongping; Xu, Peipeng

doi:10.1364/ao.484821

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…For high temperatures, the excited state electrons escaped from the energy level to the conduction band and became free electrons, which was caused by thermal ionization. This process was not involved in luminescence [34].…”

Section: Resultsmentioning

confidence: 99%

Dual substitution of host lattice ions to enhance the luminescence properties of Zn₂TiO₄:Cr³⁺ phosphor

Cheng,

Huang,

Gong

et al. 2024

Luminescence

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Near‐infrared light sources have potential applications in many fields. Cr3+ is a good luminescence centre to prepare near‐infrared phosphors. Improving the performance of existing near‐infrared luminescent materials has indeed attracted great interest from researchers. The luminescence properties of Zn2TiO4:Cr3+ were improved by crystal field engineering strategies. Zn2+–Ti4+ was partially replaced using a Li+–Nb5+ ion pair based on the Zn2TiO4:Cr3+ phosphors. Luminescence Cr3+‐activated luminescent materials are sensitive to changes in the local crystal structure and crystal field environment. Doping of Li+–Nb5+ increased the luminescence intensity up to 2.7 times that of the undoped sample. Also, the thermal stability of the phosphor was greatly increased by the replacement of Li+–Nb5+.

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Section: Resultsmentioning

confidence: 99%

Dual substitution of host lattice ions to enhance the luminescence properties of Zn₂TiO₄:Cr³⁺ phosphor

Cheng,

Huang,

Gong

et al. 2024

Luminescence

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“…Cotton, a natural bio‐organic polymer, presents appealing attributes such as biocompatibility, comfortability, breathability, and abundance in nature (Figure 1a, left part). [ 25,26 ] In particular, cotton is rich in cellulose fibers, which own extraordinary mechanical properties, ensuring it can be used as a suitable substrate for flexible electronic devices. Another crucial material in all‐textile sensors, polypyrrole (PPY), is selected as the conductive electrode material, mainly due to the unique merits in the following aspects: 1) Biocompatibility, low cost, and flexibility of organic conductive polymer PPY offer improvements in platform comfort and large‐scale production.…”

Section: Resultsmentioning

confidence: 99%

All‐Organic Smart Textile Sensor for Deep‐Learning‐Assisted Multimodal Sensing

Zhao

Song

Xie

et al. 2023

Adv Funct Materials

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Smart textile for sensor is identified as a superior platform with greatly improved convenience and comfort for wearable bioelectronics. However, most reported textile-based sensors cannot fully demonstrate the inherent advantages of textiles, such as comfortability, breathability, biocompatibility, and environmental friendliness, mainly due to the intrinsic limitation of non-textile or inorganic components. Here, an all-textile, all-organic, washable, and breathable sensor with discriminable pressure, proximity, and temperature sensing function is first reported. Multiple sensing functions and outstanding washability are demonstrated. The all-textile sensor can also be seamlessly integrated into diverse types of fabrics to realize wide-range sensing of human activities and noncontact stimuli without sacrificing biocompatibility and comfortability. Additionally, by combining with the deep-learning technique, an all-textile sensing system is established to recognize object shape, contactless trajectory, and even environmental temperature. These results open a new avenue for designing low-cost, washable, comfortable, and biocompatible green textile electronics, providing a meaningful guideline in intelligent textiles.

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“…To enable the improved network model to operate in the field, we designed and developed a real-time sugarcane node detection system [35]. The sugarcane node real-time detection system designed in this paper is based on the Jetson TX2 edge computing device.…”

Section: Real Time Detection System For Sugarcane Stem Nodesmentioning

confidence: 99%

Design and Experimental Evaluation of an Intelligent Sugarcane Stem Node Recognition System based on Enhanced YOLOv5s

Dai,

Luo,

Shi

et al. 2024

Preprint

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The rapid and accurate identification of sugarcane internodes is of great significance for tasks such as field operations and precision management in the sugarcane industry, and it is also a fundamental task for the intelligence of the sugarcane industry. However, in complex field environments, traditional image processing techniques have low accuracy, efficiency, and are mainly limited to server-side processing. Meanwhile, the sugarcane industry requires a large amount of manual involvement, leading to high labor costs. In response to the aforementioned issues, this paper employed YOLOv5s as the original model algorithm, incorporated the K-means clustering algorithm, and added the CBAM attention module and VarifocalNet mechanism to the algorithm. The improved model is referred to as YOLOv5s-KCV. We implemented the YOLOv5s-KCV algorithm on Jetson TX2 edge computing devices with a well-configured runtime environment, completing the design and development of a real-time sugarcane internode identification system. Through ablation experiments, comparative experiments of various mainstream visual recognition network models, and performance experiments conducted in the field, the effectiveness of the proposed improvement method and the developed real-time sugarcane internode identification system were verified. The experimental results demonstrate that the improvement method of YOLOv5s-KCV is effective, with an algorithm recognition accuracy of 89.89%, a recall rate of 89.95%, and an mAP value of 92.16%, which respectively increased by 6.66%, 5.92%, and 7.44% compared to YOLOv5s. The system underwent performance testing in various weather conditions and at different times in the field, achieving a minimum recognition accuracy of sugarcane internodes of 93.5%. Therefore, the developed system in this paper can achieve real-time and accurate identification of sugarcane internodes in field environments, providing new insights for related work in sugarcane field industries.

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High-Q chalcogenide racetrack resonators based on the multimode waveguide

Cited by 7 publications

References 25 publications

Dual substitution of host lattice ions to enhance the luminescence properties of Zn₂TiO₄:Cr³⁺ phosphor

Dual substitution of host lattice ions to enhance the luminescence properties of Zn₂TiO₄:Cr³⁺ phosphor

All‐Organic Smart Textile Sensor for Deep‐Learning‐Assisted Multimodal Sensing

Design and Experimental Evaluation of an Intelligent Sugarcane Stem Node Recognition System based on Enhanced YOLOv5s

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High-Q chalcogenide racetrack resonators based on the multimode waveguide

Cited by 7 publications

References 25 publications

Dual substitution of host lattice ions to enhance the luminescence properties of Zn2TiO4:Cr3+ phosphor

Dual substitution of host lattice ions to enhance the luminescence properties of Zn2TiO4:Cr3+ phosphor

All‐Organic Smart Textile Sensor for Deep‐Learning‐Assisted Multimodal Sensing

Design and Experimental Evaluation of an Intelligent Sugarcane Stem Node Recognition System based on Enhanced YOLOv5s

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Product

Resources

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Dual substitution of host lattice ions to enhance the luminescence properties of Zn₂TiO₄:Cr³⁺ phosphor

Dual substitution of host lattice ions to enhance the luminescence properties of Zn₂TiO₄:Cr³⁺ phosphor