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A methodology to analyzing the security of consensus algorithms for permissioned blockchain
No full textOur research offers a novel approach to evaluate Blockchain security, using proven analytical methods for assessing system security. Thereby enhancing trust in those systems that actually provide security
Detecting and identifying single event transients using IRES and machine learning
No full textThis research aims to use machine learning and deep learning techniques to characterize events in IRES images to identify the exact location of a SET within an electronic device
Female athletes perceptions of role models in athletics
No full textThe intentions around this project submission is review the literature around female athletes perceptions of their female coaches as role models in sport and life
Let employees drive career development: how building a job framework applies key critical learning theories
No full textDemonstrate how a job framework empowers employees to own their own career development by applying critical learning theories such as self-determination theory, self-directed learning theory, and social cognitive theory
Modeling of microbial mat decay and implications for the early Earth fossil record
No full textMicrobial mats represent Earth’s earliest ecosystems. However, the effects of decomposition on microbial mat preservation are unknown. This model will predict how microbial mats decay over time, which can then be compared to mats in the rock record
Mechanical behavior of silica aerogels
No full textIn this study, a computational work is done on molecular dynamics of silica Aerogels. First, Silica Aerogel is modeled by LAMMPS code and after that, the response of Silica Aerogel to various loadings is investigated
A Compensated Distributed Line Decoupling approach for real time applications
Get PDFThis work proposes a new method, called the Compensated Distributed Line Decoupling (CDLD), to decouple distribution networks among parallel processing cores in a real-time multi-core environment. Due to the short length of distribution lines, decoupling the network for real-time processing is challenging. Previous studies proposed the Stublines and State Space Nodal (SSN) solvers but both approaches have limitations and the proposed method addresses these limitations to implement improvements. Specifically, the CDLD method can be used as an enhanced Stubline decoupling, improving on its accuracy and transient response, or it can be combined with the SSN solver to improve its computational performance and remove bottleneck issues. The CDLD method was tested on three IEEE systems in real-time, and significant improvement was realized in network response and computational performance compared to the prevailing methods. The combined SSN-CDLD method proved to be the most promising approach for network decoupling
Mutually exclusive: a survey of ethical decision making in technology
Get PDFPeople make hundreds of decisions every day. Developers, security consultants, operations engineers, designers, and engineers all make small decisions that affect the final product. The values people choose to promote and ignore appear in the constraints and biases of the products they craft. This paper discusses the process of developing, distributing, and analyzing a values survey to computer professionals and students in East Tennessee. I use advanced calculations of significance and beta for chi-squared tests to determine significance and discuss the ethical conclusions from the survey’s data