The main objective of this project is to offer efficient and commercially viable solutions for wireless power transfer to portable devices such as Recon’s wearable units. The first phase of the research is dedicated to determine pros and cons of various such techniques and the maximum power and distance for wireless power delivery to such systems. The transferred power can be used as a top-up power to extend the battery life of the products.
As information technology (IT) and telecommunication systems continue to grow in size and complexity, the types and the number of telecommunication and networking devices required to support provider’s services have surged. Identifying these devices in a network is a challenging task, since they usually lack proper or accurate documentation describing their operating characteristics.
The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard data mining techniques.
The project will investigate a novel HVdc transmission arrangement referred to as a “symmetrical monopole”. This configuration has the ability to continue operation even when one of the transmission line conductors is faulted. This property allows for the use of new compact dc transmission lines which occupy only a fraction of the right-of-way of other transmission options, thereby minimizing the negative impact on the environment. The research will investigate the appropriate control and protection aspects of such a transmission scheme.
The research centers around the feasibility study of a method to detect faulty outdoor insulators and to classify the type of defects within the insulator. Every different type of defect results in a specific electromagnetic Signature that can be acquired using an antenna and oscilloscope. Using these Signatures some specific features (eg statistical or spectral features) can be extracted which are used to train computer learning algorithms so that they can classify subsequent signatures into their respective classes.
Attacks on computer networks happen every day, but many go undetected. Not all attacks succeed, but the ones that do often leave so called “back doors” behind that allow the attackers to easily gain access back into the computer network without having to attack it further. This project focuses on the use of mathematics and statistics to determine what features of network traffic (the data flowing on the wire between a computer network and the rest of the internet) can be used to determine if an unauthorized back door is present in a computer network.
The proposed research aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis will be put on consumer side energy management strategies that able to balance energy demand and supply and to reduce the overall operational cost while providing an enhanced performance.
This project aims to identify and fix the gaps in existing business processes of commercial insurance brokers group. In order to improve the efficiency and effectiveness of the processes, I plan to redesign the processes to eliminate bottlenecks and improve the service quality by developing workflow management system for the organization. Workflow management system deals with supporting business processes in the organization.
User experience and battery life are key concerns for smartphone makers. Given the growing trend of graphic-rich applications on mobile devices, embedded Graphics Processing Units (GPUs) are increasingly being incorporated in smartphone hardware platforms. In this project the intern will develop fast, early and accurate models of embedded GPUs, before the GPU hardware is available.
The project is aimed at implementing real-time processing techniques for video acquisition, compression and transmission. The project focuses on defining solutions in order to solve constraints within the system related to bandwidth and the battery energy of the sensor. Depending on the application, the acquisition and compression procedures could be based on extracting significant features and compressing them in a lossless fashion followed by data transmission over a wireless channel.