Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under optimum design conditions, the sensitivity can be improved by up to a thousand - higher than any of the biosensors currently available on the market.
A parallelized electromagnetic transient (EMT) simulation tool for power system transients will be developed in this research to accelerate the internal computation process. An EMT simulator uses a highly detailed representation for the power systems components. Conventional EMT simulators typically execute sequentially on a single processor; and computational effort increases significantly with network size. Graphics Processing Units (GPUs) have massively parallel architecture and can accelerate EMT simulation. The investigators recent Ph.D.
The scope of this project is to develop a modern Railway signaling system using LED technology to replace the old system employing incandescent bulb. We propose a novel design and control to avoid using low-lifetime components as the existing commercial systems. The current and voltage monitoring functionalities are added to detect exactly which LED that fault occurs, it helps to maintain system and easily adjust light intensity efficiently.
With worldwide efforts to increase the utilization of renewable energy, traditional power distribution networks are being transformed into active distribution networks with the interconnection of distributed generation. The status of DGs connected to an active distribution network can change frequently, and this creates many challenges to network protection. The aim of this project is to implement a new protection solution for active distribution systems and microgrids in hardware and validate its performance.
Web computing, in which the world-wide web is itself employed as a distributed computing platform, is entering a stage of rapid expansion with the advent of Open Web Platform so that programs that once worked only a native environment on desktop, tablets or phones can now work from within a browser itself. There is therefore a need for a new form of protection for apps.
In a multi-tenant cloud environment, several tenants share the same physical resources. To ensure security of tenants data and process, appropriate security measures should be implemented by the cloud provider at multiple layers. Particularly, appropriate controls for end-to-end network isolation must be put in place. The proposed research project aims at elaborating innovative and efficient approaches and methods to audit end-to-end network isolation in the cloud.
The purpose of this project is to develop a highly accurate e-commerce recommender system able to select products across databases and recommend them to prospective customers both in real-time and off-line. Leveraging the historical inventory of sold products, browsing history, purchase history, and expressed preferences helps the recommender to formulate highly accurate product suggestions to find closest matches to what a consumer is looking for.
During the internship in collaboration with RootCellar Technologies, research will be conducted towards the design of an adaptive machine-learning solution and its integration with the existing RootCellar framework for automated evaluation and management of information security risk in small and medium size enterprise networks. The existing framework is very advanced in terms of end-point risk monitoring as well as its compliance with the NIST CVSS System.
Passive optical networks (PON) are a key technology to provide broadband Internet services to personal and business users through high-speed fibre cables. This technology has been deployed worldwide for local and access networks. In order to accommodate the drastically increased data volume, the Telecommunication Standardization Sector (ITU-T) has recently defined a 40-Gb/s capacity PON system. In this project, we are developing integrated optical solutions for next-generation PON systems to enable a higher data transmission capacity through multiple frequency channels.
In this study, an advanced frequency scanning method is used to extract the frequency dependent network equivalent (FDNE) impedance characteristic of a power electronic subsystem such as an HVDC transmission system or FACTS device including its controls. This is achieved by simulating it in the time domain on an EMT program, and exposing it to an energy dispersed chirp disturbance which has a broad harmonic spectrum. The impedance (or admittance) of this subsystem at the given operating point can then be determined using a Discrete Fourier Transform.