GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • IOP Publishing  (4)
  • 1
    Online Resource
    Online Resource
    Characteristics of sputtered Y-doped IZO thin films and devices
    IOP Publishing ; 2015
    In:  Journal of Semiconductors Vol. 36, No. 9 ( 2015-09), p. 093004-
    Details
    In: Journal of Semiconductors, IOP Publishing, Vol. 36, No. 9 ( 2015-09), p. 093004-
    Type of Medium: Online Resource
    ISSN: 1674-4926
    URL: Article
    DOI: 10.1088/1674-4926/36/9/093004
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2015
    detail.hit.zdb_id: 2484682-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Research on the Method of Individual Identification of Chickens Based on Depth Image
    IOP Publishing ; 2020
    In:  Journal of Physics: Conference Series Vol. 1631, No. 1 ( 2020-09-01), p. 012018-
    Details
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1631, No. 1 ( 2020-09-01), p. 012018-
    Abstract: In order to accurately extract the individual images of chickens from the complex background, the experiment took green shell laying hens which scatter-feed as the segmentation target, and proposed a method of individual identification of chickens based on range image, including image background segmentation and chicken overlapping segmentation. First of all, the depth image after background segmentation is obtained by using fixed threshold segmentation method and morphological processing, and then the image with adhesion is separated by using the method of concave point analysis. Through the recognition of 200 depth images, the results showed that the recognition algorithm can effectively separate the adhesive individuals, thereinto, the correct recognition rate for the image without adhesion is 100%, while the recognition accuracy was 93% for images with adhesion. The comprehensive recognition accuracy was 97%.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    URL: Article
    DOI: 10.1088/1742-6596/1631/1/012018
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2166409-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Detection of Sick Laying Hens by Infrared Thermal Imaging and Deep Learning
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 2025, No. 1 ( 2021-09-01), p. 012008-
    Details
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2025, No. 1 ( 2021-09-01), p. 012008-
    Abstract: The laying hens are prone to get sick during the growing period, and the temperature will fluctuate within a relative range when the disease occurs. This temperature change range can be used as a sign of pathological phenomena in the laying hens. In order to find the floating range of the body surface temperature of the laying hens raised in the poultry house in both healthy and pathological states, and the areas where there is a significant difference in the body surface temperature of the two, a detection method combining infrared thermal imaging technology and neural network is proposed. First, use an infrared thermal imager to obtain an infrared image of the body surface of a layer, and then use a convolutional neural network to establish a recognition model for the characteristic area of the layer, and extract the highest temperature of the region of interest in a healthy and pathological layer. Finally, analyse the temperature difference of each area of interest in the chicken body under these two conditions. The test results show that the accuracy of the convolutional neural network recognition model is 97%; the temperature fluctuation range of the three characteristic areas of healthy and pathological layers are different, and the maximum temperature difference area is 7.8°C.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    URL: Article
    DOI: 10.1088/1742-6596/2025/1/012008
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    Advancing thermoelectrics by suppressing deep-level defects in Pb-doped AgCrSe 2 alloys
    IOP Publishing ; 2023
    In:  Chinese Physics B Vol. 32, No. 4 ( 2023-03-01), p. 047202-
    Details
    In: Chinese Physics B, IOP Publishing, Vol. 32, No. 4 ( 2023-03-01), p. 047202-
    Abstract: AgCrSe 2 -based compounds have attracted much attention as an environmentally friendly thermoelectric material in recent years due to the intriguing liquid-like properties. However, the ultra-low carrier concentration and the high Ag Cr deep-level defects limit the overall thermoelectric performance. Here, we successfully introduced Pb into Ag-deficient Ag 0.97 CrSe 2 alloys to tune the carrier concentration across a broad temperature range. The Pb 2+ as an acceptor dopant preferentially occupies Cr sites, boosting the hole carrier concentration to 1.77 × 10 19 cm −3 at room temperature. Furthermore, the Pb strongly inhibits the creation of intrinsic Ag Cr defects, weakens the increased thermal excited ionization with the increasing temperature and slowed the rising trend of the carrier concentration. The designed carrier concentration matches the theoretically predicted optimized one over the entire temperature range, leading to a remarkable enhancement in power factor, especially the maximum power factor of ∼ 500 μW⋅m −1 ⋅K −2 at 750 K is superior to most previous results. Additionally, the abundant point defects promote phonon scattering, thus reducing the lattice thermal conductivity. As a result, the maximum figure of merit zT (∼ 0.51 at 750 K) is achieved in Ag 0.97 Cr 0.995 Pb 0.005 Se 2 . This work confirms the feasibility of manipulating deep-level defects to achieve temperature-dependent optimal carrier concentration and provides a valuable guidance for other thermoelectric materials.
    Type of Medium: Online Resource
    ISSN: 1674-1056
    URL: Article
    DOI: 10.1088/1674-1056/acb765
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2023
    detail.hit.zdb_id: 2412147-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...