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- Critical infrastructure (1)
- Cross-scaling (1)
- Cybersecurity (1)
- Cybersecurity careers (1)
- Digitalization (1)
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- Distributed ledger technology (1)
- Flexibility markets (1)
- Floodwater detection (1)
- GAN (1)
- Government employees (1)
- Hampton Roads (1)
- Mask-R-CNN (1)
- Multi-sectoral adaptation (1)
- Object detection and segmentation (1)
- Privacy (1)
- Sea level rise (1)
- Social learning (1)
- Socio-ecological resilience (1)
- Veterans (1)
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Digital Energy Platforms Considering Digital Privacy And Security By Design Principles, Umit Cali, Marthe Fogstad Dynge, Ahmed Idries, Sambeet Mishra, Ivanko Dmytro, Naser Hashemipour, Murat Kuzlu, Aleksandra Mileva (Ed.), Steffen Wendzel (Ed.), Virginia Franqueira (Ed.)
Digital Energy Platforms Considering Digital Privacy And Security By Design Principles, Umit Cali, Marthe Fogstad Dynge, Ahmed Idries, Sambeet Mishra, Ivanko Dmytro, Naser Hashemipour, Murat Kuzlu, Aleksandra Mileva (Ed.), Steffen Wendzel (Ed.), Virginia Franqueira (Ed.)
Engineering Technology Faculty Publications
The power system and markets have become increasingly complex, along with efforts to digitalize the energy sector. Accessing flexibility services, in particular, through digital energy platforms, has enabled communication between multiple entities within the energy system and streamlined flexibility market operations. However, digitalizing these vast and complex systems introduces new cybersecurity and privacy concerns, which must be properly addressed during the design of the digital energy platform ecosystems. More specifically, both privacy and cybersecurity measures should be embedded into all phases of the platform design and operation, based on the privacy and security by design principles. In this study, these …
A Comparison Of Deep Learning Algorithms On Image Data For Detecting Floodwater On Roadways, Sarp Salih, Kuzlu Murat, Zhao Yanxiao, Cetin Mecit
A Comparison Of Deep Learning Algorithms On Image Data For Detecting Floodwater On Roadways, Sarp Salih, Kuzlu Murat, Zhao Yanxiao, Cetin Mecit
Engineering Technology Faculty Publications
Object detection and segmentation algorithms evolved significantly in the last decade. Simultaneous object detection and segmentation paved the way for real-time applications such as autonomous driving. Detection and segmentation of (partially) flooded roadways are essential inputs for vehicle routing and traffic management systems. This paper proposes an automatic floodwater detection and segmentation method utilizing the Mask Region-Based Convolutional Neural Networks (Mask-R-CNN) and Generative Adversarial Networks (GAN) algorithms. To train the model, manually labeled images with urban, suburban, and natural settings are used. The performances of the algorithms are assessed in accurately detecting the floodwater captured in images. The results show …
A Look Into Increasing The Number Of Veterans And Former Government Employees Converting To Career And Technical Cybersecurity Teachers, Vukica M. Jovanovic, Michael Anthony Crespo, Drew E. Brown, Deborah Marshall, Otilia Popescu, Murat Kuzlu, Petros J. Katsioloudis, Linda Vahala
A Look Into Increasing The Number Of Veterans And Former Government Employees Converting To Career And Technical Cybersecurity Teachers, Vukica M. Jovanovic, Michael Anthony Crespo, Drew E. Brown, Deborah Marshall, Otilia Popescu, Murat Kuzlu, Petros J. Katsioloudis, Linda Vahala
Engineering Technology Faculty Publications
The current state of technology with recent explosions in the digital processing of paperwork, computer networking use, and online and virtual approaches to areas, which until very recently had traditional and non-computerized ways of operating, led to a steady increase in the demand for jobs in the area of computer science and cybersecurity. The education system, the pipeline for the incoming workforce, needs to keep up with this tremendous pace in technology and the job market. The current K-12 school system has been extensively challenged to fill out necessary positions in order to address the increasing need for programs that …
Mechanisms For Cross-Scaling, Flexibility And Social Learning In Building Resilience To Sea Level Rise: Case Study Of Hampton Roads, Virginia, Carol Considine, Michelle Covi, Juita-Elena (Wie) Yusuf
Mechanisms For Cross-Scaling, Flexibility And Social Learning In Building Resilience To Sea Level Rise: Case Study Of Hampton Roads, Virginia, Carol Considine, Michelle Covi, Juita-Elena (Wie) Yusuf
Engineering Technology Faculty Publications
This case study examines how the Hampton Roads Sea Level Rise Preparedness and Resilience Intergovernmental Planning Pilot Project, a whole-of-government and whole-of-community approach to planning for and adapting to sea level rise, addressed coastal resilience in a southeastern Virginia watershed that spans multiple jurisdictions. Meeting the challenge of sea level rise requires that actors across multiple sectors—citizens, community organizations, industry and government—understand the risks and work together to make critical decisions regarding adaptation strategies and actions. The case study area includes Little Creek Amphibious Base, which is bordered by the cities of Norfolk and Virginia Beach. Adaptation responses to sea …