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Physical Sciences and Mathematics Commons™
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Electrical and Computer Engineering
University of Nebraska - Lincoln
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
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- Adversarial attack (1)
- Binary neural network verification (1)
- Communication (1)
- Computer vision (1)
- Data Center (1)
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- Exact reachability analysis (1)
- Free Space Optical (1)
- High Speed (1)
- Networks (1)
- Neural network verification (1)
- OFDM (1)
- Optical Switching (1)
- Optical Wireless Communication (1)
- Overapproximate reachability analysis (1)
- Qualitative verification (1)
- Security (1)
- Sign activation (1)
- Smart Home (1)
- Ultrasonic Radio (1)
- Wireless (1)
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Star-Based Reachability Analysis Of Binary Neural Networks On Continuous Input, Mykhailo Ivashchenko
Star-Based Reachability Analysis Of Binary Neural Networks On Continuous Input, Mykhailo Ivashchenko
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Deep Neural Networks (DNNs) have become a popular instrument for solving various real-world problems. DNNs’ sophisticated structure allows them to learn complex representations and features. However, architecture specifics and floating-point number usage result in increased computational operations complexity. For this reason, a more lightweight type of neural networks is widely used when it comes to edge devices, such as microcomputers or microcontrollers – Binary Neural Networks (BNNs). Like other DNNs, BNNs are vulnerable to adversarial attacks; even a small perturbation to the input set may lead to an errant output. Unfortunately, only a few approaches have been proposed for verifying …
Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou
Motif-Cluster: A Spatial Clustering Package For Repetitive Motif Binding Patterns, Mengyuan Zhou
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Previous efforts in using genome-wide analysis of transcription factor binding sites (TFBSs) have overlooked the importance of ranking potential significant regulatory regions, especially those with repetitive binding within a local region. Identifying these homogenous binding sites is critical because they have the potential to amplify the binding affinity and regulation activity of transcription factors, impacting gene expression and cellular functions. To address this issue, we developed an open-source tool Motif-Cluster that prioritizes and visualizes transcription factor regulatory regions by incorporating the idea of local motif clusters. Motif-Cluster can rank the significant transcription factor regulatory regions without the need for experimental …
Feasibility And Security Analysis Of Wideband Ultrasonic Radio For Smart Home Applications, Qi Xia
Feasibility And Security Analysis Of Wideband Ultrasonic Radio For Smart Home Applications, Qi Xia
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Smart home Internet-of-Things (IoT) accompanied by smart home apps has witnessed tremendous growth in the past few years. Yet, the security and privacy of the smart home IoT devices and apps have raised serious concerns, as they are getting increasingly complicated each day, expected to store and exchange extremely sensitive personal data, always on and connected, and commonly exposed to any users in a sensitive environment. Nowadays wireless smart home IoT devices rely on electromagnetic wave-based radio-frequency (RF) technology to establish fast and reliable quality network connections. However, RF has its limitations that can negatively affect the smart home user …
Optical Wireless Data Center Networks, Abdelbaset S. Hamza
Optical Wireless Data Center Networks, Abdelbaset S. Hamza
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Bandwidth and computation-intensive Big Data applications in disciplines like social media, bio- and nano-informatics, Internet-of-Things (IoT), and real-time analytics, are pushing existing access and core (backbone) networks as well as Data Center Networks (DCNs) to their limits. Next generation DCNs must support continuously increasing network traffic while satisfying minimum performance requirements of latency, reliability, flexibility and scalability. Therefore, a larger number of cables (i.e., copper-cables and fiber optics) may be required in conventional wired DCNs. In addition to limiting the possible topologies, large number of cables may result into design and development problems related to wire ducting and maintenance, heat …