13 research outputs found

    Fingerprint Image Segmentation Algorithm Based on Contourlet Transform Technology

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    This paper briefly introduces two classic algorithms for fingerprint image processing, which include the soft threshold denoise algorithm of wavelet domain based on wavelet domain and the fingerprint image enhancement algorithm based on Gabor function. Contourlet transform has good texture sensitivity and can be used for the segmentation enforcement of the fingerprint image. The method proposed in this paper has attained the final fingerprint segmentation image through utilizing a modified denoising for a high-frequency coefficient after Contourlet decomposition, highlighting the fingerprint ridge line through modulus maxima detection and finally connecting the broken fingerprint line using a value filter in direction. It can attain richer direction information than the method based on wavelet transform and Gabor function and can make the positioning of detailed features more accurate. However, its ridge should be more coherent. Experiments have shown that this algorithm is obviously superior in fingerprint features detection

    Progress in triboelectric nanogenerators as self-powered smart sensors

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    Rollable and Ventilated Netā€Based Solar Thermal Water Evaporator for Casting on Water Surface

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    The solarā€thermal evaporator provides a sustainable freshwater production strategy, of which the largeā€scale floating applications on river or sea still confront the challenge of the highly efficient flexible evaporator. However, existing flexible evaporators often use porous gel to load solarā€thermal materials, which only allow water to evaporate out from outermost surface but waste heat by dissipating into bulky water. Herein, a rollable and ventilated flexible solarā€thermal evaporator based on dendritic net substrate is presented, which can be cast in a scalable way on waving water surface. Compared to that of the porous gel, the dendritic structure can not only capture photons efficiently, but also enlarge the ratio of water evaporation area to heat dissipation area by over 109 times, with efficient water transfer path of merely 0.3ā€‰cm length in average for even 1ā€‰m2 water evaporation area. The flexible evaporator can achieve a photothermal evaporation temperature of 108ā€‰Ā°C and an evaporation rate of >1.46ā€‰kgā€‰māˆ’2ā€‰hāˆ’1@1 sun illumination. A sustainable ecological circulation evaporation system is demonstrated to show its potential for scalable floatingā€onā€sea applications

    A non-printed integrated-circuit textile for wireless theranostics

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    While the printed circuit board (PCB) has been widely considered as the building block of integrated electronics, the world is switching to pursue new ways of merging integrated electronic circuits with textiles to create flexible and wearable devices. Herein, as an alternative for PCB, we described a non-printed integrated-circuit textile (NIT) for biomedical and theranostic application via a weaving method. All the devices are built as fibers or interlaced nodes and woven into a deformable textile integrated circuit. Built on an electrochemical gating principle, the fiber-woven-type transistors exhibit superior bending or stretching robustness, and were woven as a textile logical computing module to distinguish different emergencies. A fiber-type sweat sensor was woven with strain and light sensors fibers for simultaneously monitoring body health and the environment. With a photo-rechargeable energy textile based on a detailed power consumption analysis, the woven circuit textile is completely self-powered and capable of both wireless biomedical monitoring and early warning. The NIT could be used as a 24/7 private AI ā€œnurseā€ for routine healthcare, diabetes monitoring, or emergencies such as hypoglycemia, metabolic alkalosis, and even COVID-19 patient care, a potential future on-body AI hardware and possibly a forerunner to fabric-like computers

    Highly-Efficient Dendritic Cable Electrodes for Flexible Supercapacitive Fabric

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    In the search for clothlike wearable energy-storage devices with both high energy density and high power density, metal fibers surrounded by micro metal dendrites, as current collectors, are either rooted inside a thick layer of carbon particles or wrapped with flowerlike nano NiO in a similar manner to the root or stem system of natural plants, to form dendritic cablelike negative or positive electrodes. These dendritic cable electrodes could be further combined or woven into flexible solid-type supercapacitive garland or fabric, together with cotton wires. Benefiting from the ultra large interface of the metal dendrites current collector, it can be charged up to 1.8 V, and give an energy density of 0.1408 mWh cm<sup>ā€“2</sup> and a power density of 3.01 mW cm<sup>ā€“2</sup>, which is capable of directly starting a small electric car with a short and flexible piece of supercapacitor

    Specific subsets of urothelial bladder carcinoma infiltrating T cells associated with poor prognosis

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    Abstract Comprehensive investigation of tumor-infiltrating lymphocytes in cancer is crucial to explore the effective immunotherapies, but the composition of infiltrating T cells in urothelial bladder carcinoma (UBC) remains elusive. Here, single-cell RNA sequencingĀ (scRNA-seq) were performed on total 30,905Ā T cells derived from peripheral blood, adjacent normal and tumor tissues from two UBC patients. We identified 18 distinct T cell subsets based on molecular profiles and functional properties. Specifically, exhausted T (TEx) cells, exhausted NKT (NKTEx) cells, Ki67+ T cells and B cell-like T (B-T) cellsĀ were exclusively enriched in UBC. Additionally, the gene signatures of TEx, NKTEx, Ki67+ T andĀ B-TĀ cells were significantly associated with poor survival in patients with BC and various tumor types. Finally, IKZF3 and TRGC2 are the potential biomarkers of TEx cells. Overall, our study demonstrated an exhausted context of T cells in UBC, which layed a theoretical foundation for the development of effective tumor immunotherapies

    Fast-Convergence Burst-Mode Digital Signal Processing for Coherent Passive Optical Networks

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    Optical access networks have been evolving to meet the explosive growth of data traffic. It is foreseeable that the 100Gb/s/Ī» and beyond passive optical network (PON) will be required in future optical access networks. Coherent optical communication is a promising solution for the future beyond 100G PON. However, the traditional digital signal processing (DSP) for coherent optical communication is difficult to realize fast convergence due to blind and complex algorithms. In this paper, we design a specific preamble structure and propose a burst-mode DSP to achieve fast convergence for the coherent PON. For verifying the feasibility of the proposed scheme, point-to-multi-point (P2MP) coherent PON is experimentally built up based on digital subcarrier multiplexing (DSCM), which is a kind of frequency division multiple access. When the allocated frequency of the optical network unit is suddenly changed, the DSP should converge fast to ensure a low handoff latency. In P2MP coherent PON, the proposed specific preamble structure and burst-mode DSP jointly implement the fast convergence using a short preamble with only 416 symbols. The experimental results show that the 8-Gbaud/SCƗ8-SCs 400Gb/s-net-rate coherent PON in burst-mode detection achieves the receiver sensitivity of approximately āˆ’27dBm at the 20% soft-decision forward error correction limit and approximately 35.5dB optical power budget with an optical pre-amplifier.</p
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