Bismuthene

Zhao, Hanliu; Guo, Shiying; Zhong, Wen; Zhang, Shengli; Zeng, Haibo

doi:10.1016/b978-0-12-823824-0.00013-7

Cited by 5 publications

(2 citation statements)

References 91 publications

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“…In this paper, an attendance method based on multimodal biometric features is proposed, which includes the steps of face image and human body image acquisition, preprocessing, feature extraction and classifier training. Through the pre-processing and feature extraction of face and human body images, face features and gait features are obtained; then these two features are fused to form a multimodal feature map; finally, a classifier is used to classify the fused feature map to realize the training and recognition of the attendance recognition model [10] .…”

Section: Multimodal Biometric Based Attendance Methods and Systemmentioning

confidence: 99%

Research and Implementation of a Multimodal Biometric-Based Attendance System

2024

AJETS

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With the increasing requirements of enterprises for employee attendance management, the traditional attendance method can no longer meet the needs of modern enterprises. This paper proposes a multimodal biometric-based attendance method, system, terminal equipment and media, which combines two biometric features, face recognition and gait recognition, and improves the accuracy and real-time attendance recognition. This paper firstly introduces the background and significance of the research, then elaborates the design and realization process of the multimodal biometric-based attendance method and system, and finally verifies the effectiveness and superiority of the method through experiments. The experimental results show that the method is excellent in both accuracy and real-time performance of attendance recognition, and provides a more intelligent and humanized attendance management solution for enterprises.

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Section: Multimodal Biometric Based Attendance Methods and Systemmentioning

confidence: 99%

Research and Implementation of a Multimodal Biometric-Based Attendance System

2024

AJETS

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“…The development of two-dimensional (2D) structures using the material can effectively reduce the k and improve PF, thereby enhancing thermoelectric properties. [26][27][28][29] Cheng et al 30 theoretically investigated the thermoelectric characteristics of b-bismuthene and predicted a high ZT value. By adjusting the n-type and p-type doping, thermoelectric performance can be further optimized.…”

Section: Introductionmentioning

confidence: 99%

Effects of quantum size on the thermoelectric properties of bismuth

Wu,

Sun,

Han

2023

Phys. Chem. Chem. Phys.

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Solution-Processable Bismuthene Nanosheets for Ultrasensitive Sensing of Heavy Metal Ions via Anodic Stripping Voltammetry

Adeniyi,

Manavalan,

Zainelabdin

et al. 2024

ACS Appl. Nano Mater.

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Bismuthene, a two-dimensional nanostructured material derived from the environmentally friendly and nontoxic element bismuth, holds significant potential for sustainable electrocatalytic applications. However, the large-scale application of bismuthene is hindered by the absence of a high-throughput method for synthesizing solution-processable bismuthene nanosheets, which are essential for the straightforward and low-cost fabrication of bismuthene-based nanostructure devices. This study introduces a simple solvothermal method for synthesizing bismuthene nanosheets, using hexamethylenetetramine (HMTA) as a structure-directing agent and in situ-generated hydrogen (H2) from the alkaline hydrolysis of NaBH4 as the reducing agent. The structural and electron transfer properties were characterized by using microscopic, spectroscopic, and electrochemical analyses. To demonstrate the electrocatalytic application potential, a bismuthene-modified screen-printed carbon nanotube electrode was fabricated as a nanosensor for the quantitative detection of heavy metal ions in contaminated water. The nanosensor exhibited a wide linear concentration range and low detection limits of 0.1 and 0.16 ppb (μg/L) for Cd and Pb, respectively. Additionally, the sensor was integrated with a microfluidic flow cell, demonstrating its applicability for the flow-through analysis of Cd and Pb ions. The nanosensor showed high selectivity for Cd and Pb ions in the presence of other metal ions with excellent repeatability and sensor-to-sensor reproducibility, evidenced by a relative standard deviation of 2% and 10%, respectively.

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Bismuthene

Cited by 5 publications

References 91 publications

Research and Implementation of a Multimodal Biometric-Based Attendance System

Research and Implementation of a Multimodal Biometric-Based Attendance System

Effects of quantum size on the thermoelectric properties of bismuth

Solution-Processable Bismuthene Nanosheets for Ultrasensitive Sensing of Heavy Metal Ions via Anodic Stripping Voltammetry

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