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- Autism Spectrum Disorder (ASD) (1)
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- Automatic optical inspection; deep convolutional neural networks; defect detection; (1)
- Cybersecurity, Smart Farming, Secure Communications, Energy Efficient Algorithms, Energy Complexity Model, RAPL (1)
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Articles 1 - 3 of 3
Full-Text Articles in Other Computer Engineering
Deep Cnn-Based Automated Optical Inspection For Aerospace Components, Shashi Bhushan Jha
Deep Cnn-Based Automated Optical Inspection For Aerospace Components, Shashi Bhushan Jha
Doctoral Dissertations and Master's Theses
ABSTRACT
The defect detection problem is of outmost importance in high-tech industries such as aerospace manufacturing and is widely employed using automated industrial quality control systems. In the aerospace manufacturing industry, composite materials are extensively applied as structural components in civilian and military aircraft. To ensure the quality of the product and high reliability, manual inspection and traditional automatic optical inspection have been employed to identify the defects throughout production and maintenance. These inspection techniques have several limitations such as tedious, time- consuming, inconsistent, subjective, labor intensive, expensive, etc. To make the operation effective and efficient, modern automated optical inspection …
Energy-Efficient Hmac For Wireless Communications, Cesar Enrique Castellon Escobar
Energy-Efficient Hmac For Wireless Communications, Cesar Enrique Castellon Escobar
UNF Graduate Theses and Dissertations
This thesis introduces the Farming Lightweight Protocol (FLP) optimized for energy-restricted environments that depend upon secure communication, such as multi-robot information gathering systems within the vision of ``smart'' agriculture. FLP uses a hash-based message authentication code (HMAC) to achieve data integrity. HMAC implementations, resting upon repeated use of the SHA256 hashing operator, impose additional resource requirements and thus also impact system availability. We address this particular integrity/availability trade-off by proposing an energy-saving algorithmic engineering method on the internal SHA256 hashing operator. The energy-efficient hash is designed to maintain the original security benefits yet reduce the negative effects on system availability. …
Face Image And Video Analysis In Biometrics And Health Applications, Na Zhang
Face Image And Video Analysis In Biometrics And Health Applications, Na Zhang
Graduate Theses, Dissertations, and Problem Reports
Computer Vision (CV) enables computers and systems to derive meaningful information from acquired visual inputs, such as images and videos, and make decisions based on the extracted information. Its goal is to acquire, process, analyze, and understand the information by developing a theoretical and algorithmic model. Biometrics are distinctive and measurable human characteristics used to label or describe individuals by combining computer vision with knowledge of human physiology (e.g., face, iris, fingerprint) and behavior (e.g., gait, gaze, voice). Face is one of the most informative biometric traits. Many studies have investigated the human face from the perspectives of various different …