The idea of using light for transferring data has been developed rapidly since 1960s. Today, using light for short-distance communication, as an alternative for copper wires, is rapidly growing mostly because of its broadband communication characteristics. Optical communication systems consist of both electronic and photonic components. Designing such systems will benefit from an Integrated Development Environment (IDE) to not only simulate both electrical and optical designs but also co-simulate electro-optical subsystem efficiently and accurately.
Future cellular systems must accommodate increasing demand for very high throughput and low latency data services. Massive multiple-input multiple-output (MIMO) approach involving base stations equipped with much larger numbers of antennas than the numbers of users served promises to significantly increase network capacity, while nonorthogonal multi-carrier transmission is expected to dramatically reduce the latency.
Many problems which are best solved by neural networks are exhibiting rapid growth in nascent and existing fields, such as natural language processing, and image recognition for self-driving cars. Current limitations in manufacturing technologies impose limits that prevent these performance demands from being met through conventional methods. Neuromorphic computing has been proposed as a potential solution for problems best solved with artificial neural networks.
Additive manufacturing (AM) is a process family which is widely used for deposition of thin protective layers of novel alloy materials on components operating in severe conditions, and also for fabrication and repair of complex 3D parts. The scope of this research is to establish a process planning framework for metal based bead deposition processes that considers the various machine, materials, and process parameters.
Cloud hosting environments include large scale distributed storage systems. With the advent of Big Data, especially newer biomedical and biometrics data, collected from wearable monitoring devices, there is a high need for Cloud-based solutions for large scale storage and high bandwidth on-the-fly data analysis for such data. A key problem for IT companies that collect large amounts of biometrics data on-the-fly is their need for real-time solutions for anomaly detection in the collected data.
Unmanned Aerial Vehicles (UAVs) became increasingly more popular since the global industry realized the unlimited possible applications assignable to these vehicles for reasonable costs. In this way, the company ARA Robotique designs flight controllers for multi-rotors UAVs that need accurate positions, velocities and attitude (roll, pitch, yaw) knowledge. This project focuses on designing a low-cost inertial navigation system (INS) suitable for aerial navigation.
In the evolution of any industry, there are certain turning points which are crucial for the industry to be prepared for them, in advanced. Wireless sector is close to a number of turning points, from technological aspects, emerging operators business models, and customers diverse demands.
It has always been challenging to manage data at large-scale as there are no standards and best practices currently available for modeling and analysis of data. Currently available solutions rely on limited information and are confined to manual processing which makes the process of data handling and management slow, inefficient and hard. This makes modeling and analysis crucial to be able to track, monitor and manage applications that are complex, critical in nature and produce intensive data.
Access-control policy management is an increasingly hard problem from both the security point of view (is the policy safe?) and the functionality point of view (does the system still work as expected?). Even when a policy is considered both safe and functional, each addition, deletion or modification of the policy has the potential to break the baseline. Using existing tools and mechanisms to model and analyze policies to answer specific safety and functionality questions would be very useful to organizations using access-control policies.
In this research we are aiming to build smart wearable and standalone units which can be used in our everyday lives for things such as: i) tracking vitals, and storing information; ii) monitoring sporting activities; iii) collecting ambient (in house and in air) statistics for smart home monitoring systems; iv) location tracking; v) emergency response .... .These wearables and stand alone devices have the advantage of not being connected to battery and can harvest its required energy from motion and sun light.