Titlebook: Advances in Electrical and Electronic Engineering and Computer Science; Zahriladha Zakaria,Seyed Sattar Emamian Conference proceedings 202

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L. Vazquez,R. C. Salvarezza,A. J. Arvia QR Code, RFID and biometric. However, these methods require an employee’s physical interaction directly with the system. Due to COVID-19 pandemic, any direct physical contact with the system should be avoided. Moreover, the existing attendance system platforms lack the security foundations upon whi

Harbor

E. D. Zanotto,A. R. Migliore Jr.er to identify and detect the RTN, we adopt the noise scattering plot(NSP), combined with k order median filter to identify the noise and we propose an improved variable step size LMS algorithm for the detection. The experimental results show that the new method can effectively identify the RTN comp

Visual-Field

E. D. Zanotto,A. R. Migliore Jr. As this study have proposed a model that would engage with the user, the assessment must also take into account the experiences that exist between users and systems. In this paper, the Software Usability Measurement Inventory (SUMI) is used to evaluate a semantic image retrieval application namely

INCUR

https://doi.org/10.1007/978-3-642-31418-6or electronics production which is sensitive to process variations, networking of the manufacturing stations facilitates the monitoring of manufacturing stations remotely. In contrast with manual look up of the machines, the aforementioned approach allows prompt notification in real-time to manufact

GROG

Conference proceedings 2021 International Conference on Computer Science, Electrical & Electronic Engineering (ICCEE 2020) on 17th and 18th August 2020.  Written by leading researchers and industry professionals, the papers highlight recent advances and address current issues in the respective fields. . .

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Identification and Detection of RTN in Short-Channel MOS Devices of Communication Power Supply,ia from both a “zoomed in” analysis of the parrhesiastic moment itself and a “zoomed out” perspective that takes the networked effects of that moment into account facilitates understanding a more complete picture of how disruptive resistance can reshape power over time.