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Physical Sciences and Mathematics Commons™
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- <p>Computational intelligence<br />Signal detection -- Computer simulation<br />Electromagnetic waves -- Computer simulation<br />Electromagnetic interference<br />Improvised explosive devices</p> (1)
- <p>Data protection -- Security measures -- Mathematical models<br />Cyber intelligence (Computer security)<br />Computer networks -- Security measures -- Mathematical models<br />Data encryption (Computer science)<br />Smart power grids</p> (1)
- <p>Enhanced oil recovery<br />Oil field flooding<br />Oil fields -- Production methods -- Research<br />Cluster analysis<br />Principal components analysis</p> (1)
- <p>Plasma (Ionized gases)<br />Plasma engineering<br />Pinch effect (Physics)</p> (1)
- <p>Smart power grids -- Mathematical models<br />Computer networks -- Security measures -- Mathematical models<br />Wireless sensor networks -- Security measures -- Mathematical models<br />Sensor networks -- Security measures -- Mathematical models<br />Data protection -- Security measures -- Mathematical models</p> (1)
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- Computer security (1)
- Cyber physical system (1)
- Distributed systems (1)
- EOR prediction (1)
- Hierarchical clustering algorithm (1)
- Information flow quantification (1)
- Information flow security (1)
- Nondeducibility (1)
- Principal Component Analysis (1)
- Pulsed inductive plasmas (1)
- Screening Criteria (1)
- Signal Recognition (1)
- Smart grid (1)
- Spectroscopy (1)
- Steam Flooding (1)
- Theta-pinch (1)
- Triple probes (1)
- Unintended Electromagnetic Emissions (1)
- Zero knowledge proof (1)
- Publication
Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Quantification Of Information Flow In Cyber Physical Systems, Li Feng
Quantification Of Information Flow In Cyber Physical Systems, Li Feng
Doctoral Dissertations
"In Cyber Physical Systems (CPSs), traditional security mechanisms such as cryptography and access control are not enough to ensure the security of the system since complex interactions between the cyber portion and physical portion happen frequently. In particular, the physical infrastructure is inherently observable; aggregated physical observations can lead to unintended cyber information leakage. Information flow analysis, which aims to control the way information flows among different entities, is better suited for CPSs than the access control security mechanism. However, quantifying information leakage in CPSs can be challenging due to the flow of implicit information between the cyber portion, the …
Distributed State Verification In The Smart Grid Using Physical Attestation, Thomas Patrick Roth
Distributed State Verification In The Smart Grid Using Physical Attestation, Thomas Patrick Roth
Doctoral Dissertations
"A cyber process in a distributed system can fabricate its internal state in its communications with its peers. These state fabrications can cause other processes in the distributed system to make incorrect control decisions. Cyber-physical systems have a unique advantage in the detection of falsified states because processes typically have observable effects on a shared physical infrastructure. This physical infrastructure acts as a high-integrity message channel that broadcasts changes in individual process states. The objective of this research is to demonstrate that there are cases where physical feedback from the shared infrastructure can be used to detect state fabrications. To …
Detection And Recognition Of R/F Devices Based On Their Unintended Electromagnetic Emissions Using Stochastic And Computational Intelligence Methods, Shikhar Prasad Acharya
Detection And Recognition Of R/F Devices Based On Their Unintended Electromagnetic Emissions Using Stochastic And Computational Intelligence Methods, Shikhar Prasad Acharya
Doctoral Dissertations
"Radio Frequency (RF) devices produce some amount of Unintended Electromagnetic Emissions (UEEs). UEEs are generally unique to a device and can be thought of as a signature of the device. This property of uniqueness of UEEs can be used to detect and identify the device producing the emission. The problem with UEEs is that they are very low in power and are often buried deep inside the noise band which makes them difficult to detect. There are two types of UEE detection methods. The first one is called stimulated detection method where the UEEs of a device are enhanced using …
Pulsed Inductive Plasma Studies By Spectroscopy And Internal Probe Methods, Warner C. Meeks
Pulsed Inductive Plasma Studies By Spectroscopy And Internal Probe Methods, Warner C. Meeks
Doctoral Dissertations
The broad effort of the Missouri Plasmoid Experiment is to elucidate the energy conversion processes in a pulsed inductive discharge due to the presence of plasma. The test article is a 440 to 490 kHz theta-pinch (or solenoidal) geometry coil with a stored energy of around 80 joules. In this work experimental hydrogen, helium, argon and xenon data at back-fill pressures of 10 to 100 mTorr (1.3 to 133.3 Pa) are obtained and interpreted. Spectral and internal probe studies were performed on MPX Mk.I and Mk.II devices, respectively. IR spectra were acquired in the Mk.I device for argon and xenon. …
Steam Flooding Screening And Eor Prediction By Using Clustering Algorithm And Data Visualization, Na Zhang
Steam Flooding Screening And Eor Prediction By Using Clustering Algorithm And Data Visualization, Na Zhang
Masters Theses
"Enhanced Oil Recovery (EOR) techniques are vitally important in the oil industry because these techniques could not only extend the life of wells, but also produce 10% to 30% additional oil from the reservoir. However, selecting the most suitable EOR techniques for unknown reservoirs is not easy for decision making. Based on literature, EOR screening criteria could help to find the best candidates for unknown projects, which is classified into two categories: conventional EOR screening and advanced EOR screening. In this research, an artificial intelligent (AI) method, hierarchical clustering algorithm, is adapted to analyze both steam flooding projects and worldwide …