Multi-mode luminescent color self-evolution in one phosphor with energy storage activity for high-level information safety

2021 ◽  
Vol 5 (6) ◽  
pp. 2877-2886
Author(s):  
Zhenbin Wang ◽  
Zhidong Ma ◽  
Weisheng Liu ◽  
Hui Zhou ◽  
Wenxiang Wang ◽  
...  

A design strategy for multi-mode luminescent color self-evolution in calcium aluminate (CaAl2O4) with co-doping Eu2+/Mn2+/Er3+/Nd3+.

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Chih-Hua Tai ◽  
Kuo-Hsuan Chung ◽  
Ya-Wen Teng ◽  
Feng-Ming Shu ◽  
Yue-Shan Chang

2009 ◽  
Vol 10 (1) ◽  
pp. 2-5 ◽  
Author(s):  
Mieczyslaw M. Kokar ◽  
Gee Wah Ng

Author(s):  
Yu “Andy” Wu ◽  
Carol Stoak Saunders

Governance of the information security function is critical to effective security. In this paper, the authors present a conceptual model for security governance from the perspective of decision rights allocation. Based on Da Veiga and Eloff’s (2007) framework for security governance and two high-level information security documents published by the National Institute of Standards and Technology (NIST), the authors present seven domains of information security governance. For each of the governance domains, they propose a main decision type, using the taxonomy of information technology decisions defined by Weill and Ross (2004). This framework recommends the selection of decision rights allocation patterns that are proper to those decision types to ensure good security decisions. As a result, a balance can be achieved between decisional authority and responsibility for information security.


2020 ◽  
Vol 61 (82) ◽  
pp. 127-138
Author(s):  
Scott Sorensen ◽  
Vinit Veerendraveer ◽  
Wayne Treible ◽  
Andrew R. Mahoney ◽  
Chandra Kambhamettu

AbstractThe Polar Sea Ice Topography REconstruction System, or PSITRES, is a 3D camera system designed to continuously monitor an area of ice and water adjacent to an ice-going vessel. Camera systems aboard ships in the polar regions are common; however, the application of computer vision techniques to extract high-level information from the imagery is infrequent. Many of the existing systems are built for human involvement throughout the process and lack automation necessary for round the clock use. The PSITRES was designed with computer vision in mind. It can capture images continuously for days on end with limited oversight. We have applied the system in different ice observing scenarios. The PSITRES was deployed on three research expeditions in the Arctic and Subarctic, and we present applications in measuring ice concentration, melt pond fraction and presence of algae. Systems like PSITRES and the computer vision algorithms applied represent steps toward automatically observing, evaluating and analyzing ice and the environment around ships in ice-covered waters.


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