keisler ergonomic height adjustable standing desk converter

This approach works effectively without the need for ambient light sources or direct contact with materials. A deep neural network classifies these textures into material types.

Our approach uses a low-cost mobile thermal camera integrated into a smartphone to capture thermal textures. We introduce Deep Thermal Imaging, a new approach for close-range automatic recognition of materials to enhance the understanding of people and ubiquitous technologies of their proximal environment. Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns Furthermore, participants' age, gender and security behavioral intention strongly correlated with how they heard about and shared S&P news-e.g., males more often felt a personal responsibility to share, and older people were less likely to hear about S&P news through conversation. These event types strongly correlated with how people shared S&P news-e.g., financial data breaches were shared most (42%), while politicized / activist cybersecurity events were shared least (21%). We identified four types of S&P news: financial data breaches, corporate personal data breaches, high sensitivity systems breaches, and politicized / activist cybersecurity. To better understand this coverage and its effects, we asked: What types of S&P news come into people's awareness? How do people hear about and share this news? Over two years, we recruited 1999 participants to fill out a survey on emergent S&P news events.

News coverage of security and privacy (S&P) events is pervasive and may affect the salience of S&P threats to the public.

Keisler ergonomic height adjustable standing desk converter