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The Finance of cybersecurity: Quantitative modeling of investment decisions and net present value
No full textThe Impact of Cathode Geometry on Electron Hot Spot Formation and Ion Beam Properties in Pinched-Beam Diodes
No full textElectron and ion dynamics in a cylindrical pinched-beam diode with 1.6 MV, 800 kA, and 50 ns parameters were studied using particle-in-cell simulations to improve ion beam uniformity. In particular, this work explored how annular cathode tip thickness affected electron hot spot formation and the resulting ion beam. Simulations showed reduced electron hot spots and a more uniform ion beam for a 0.5-mm-thick cathode tip compared to a 3-mm-thick cathode tip
A Superposition Technique for Predicting Overall Effectiveness With Multiple Sources of Individually Characterized Internal and External Coolant Flows
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Group Convolutional Decoders for Toric Codes
Get PDFQuantum Error Correction (QEC) enables both industrial and defense applications of quantum computing. Toric codes and other quantum Low-Density Parity-Check (LDPC) codes are promising and well-researched methods of QEC. However, their decoding cost increases exponentially with a computer’s qubit count. Neural Network (NN) decoders have been shown to decode a code’s error syndrome both accurately and fast enough for a real-time error correcting scheme. Recent key developments introduced Convolutional Neural Network (CNN) to implement a translationally equivariant decoder for a toric code. These CNN decoders both outperform NN decoders and require less training data. This research applies a Group Convolutional Neural Network (GCNN) to this task. Specifically, it introduces GCNNs’ lifting and group convolutions to a CNN decoder architecture to achieve both translational and rotational equivariance. While results show that GCNN do not offer further improved decoding results with less exhaustive datasets, this research demonstrates the difficulties arising from highly dimensional data and highly complex decoders
Systematic Review of Supply Chain Control Tower Critical Success Factors and Resilience Effects
Get PDFSupply chain control towers (SCCTs) are emerging as a vital component of modern supply chain management (SCM); however, research on SCCTs is limited and disjointed. This paper aims to uncover the critical success factors (CSFs) necessary for high-performing SCCTs, their relationship to the enablers and phases of supply chain resilience (SCRES), and the underlying theoretical framework of this relationship
The Impact of Solar Angle and Cloud Shadows on 3D Reconstruction of Rolling Stock Cargo
Get PDFMeeting the relentless demand for more efficient air cargo transportation is paramount. This paper explores an innovative approach, harnessing cutting-edge stereoscopic vision technology to create 3D point clouds of rolling stock cargo, adaptable to varying solar angles and cloud shadow conditions. A virtual cargo image is generated by systematically organizing depth and location points. Accuracy is rigorously tested across six camera positions offering detailed, real-time insights for optimized cargo loading in unpredictable outdoor conditions. The findings reveal the impact of solar positioning, cloud coverage, & camera placement, pushing the boundaries of possibilities for cargo logistics in challenging environments
Analyzing Earned Value Management for Long Duration Development Efforts
Get PDFEarned Value Management (EVM) is an integral tool for the success of many programs by allowing the assessment of cost and schedule performance via its metrics. However, the accuracy of these metrics depends on programspecific factors such as phase and contract type. The purpose of this research is to analyze the stability of Estimates at Completion (EACs) for long duration development efforts. Prior research by Christensen in 1996 on EAC stability for development and production contracts was replicated by Kim, White, Ritschel, and Millette in 2019 and found differing results using modern data. This research found that for development efforts at least five years in duration, EACs calculated using EVM metrics achieve stability later in the project than Christensen (1996) and Kim et al. (2019) found for development and production efforts. The Earned Schedule (ES) method proposed by Lipke in 2003 provided similar results for EAC stability using its time-based metrics. This research shows that there is no significant difference in stability when using EVM or ES metrics to calculate EAC
An Analysis of USAF Policy Implementation for Building Information Modeling
Get PDFThe development of Building Information Modeling (BIM) has strongly influenced the architecture, engineering, and construction communities as a path towards effective and efficient asset management. Although BIM is a standard practice in the private sector, the United States Air Force (USAF) does not mirror its civilian counterparts when it comes to BIM use. USAF BIM is limited in its use and does not extend beyond the design and construction phases of the construction life cycle. This research used a detailed querying process to analyze foundational policy documents and determine specific USAF building information requirements. After categorizing the list of requirements to determine areas for potential BIM demand and further implementation, a gap analysis was completed to assess the presence of requirements in existing sources. After identifying 51 building information requirements, the research concluded that the Operations & Maintenance phase, specifically regarding services, is an area of high demand for information management. Of the 51 requirements captured by the querying process, 23 requirements were not captured by existing USAF BIM requirement documents. This research contributes to the existing body of knowledge by providing a list of information to be recorded and maintained on USAF buildings and ensuring policy directive implementation. Furthering USAF BIM implementation can improve asset management in support of current mission readiness and future development opportunities