MEng Project Proposals: Info-Communications

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1 Proposed Research Project (1): Chau Lap Pui Rain Removal Algorithm for Video with Dynamic Scene Rain removal is a complex task. In rainy videos pixels exhibit small but frequent intensity fluctuations, and this fluctuation could be caused by several other reasons besides rain fall, namely, global illumination change, camera move, and object motion etc. In order to remove the rainy effect, it is necessary to detect the fluctuations that are caused by rain, and then replace them with their original value. The proposed project is to develop algorithm that can reduce the distortion after removal of rain pixel. Proposed Research Project (2): Chau Lap Pui elpchau@ntu.edu.sg Enhancement for Deepwater Image Current approaches to image processing for contrast enhancement rely on standard models of signal-to-noise (SNR).. Novel optical characterization with associated signal processing can enable dramatic increase in image sharpness and clarity.. The result of proposed research project can apply to vision based operation under deepwater environment.. Deepwater vehicles generally comes with optical sensors for their capability of remote operation. Therefore, deepwater image is an important issue in maritime application.

2 Proposed Research Project (1) : Law Choi Look ecllaw@ntu.edu.sg Energy efficient wireless sensor for E sensing in dense cluttered environments Indoor environments and underground environments are examples of dense cluttered environments. These environments are known to be hostile to wireless communication signals due to multipath signals. Current low power wireless communication technologies such as Zigbee and Bluetooth are highly susceptible to multipath signals (suffers from flat fading), resulting in degraded performances. Wide bandwidth signaling (such as OFDM) is currently used to overcome the impairments caused by multipath signals. However, complex transceiver circuits are used resulting in increased power consumption. Ultrawideband impulse radio with its large signal bandwidth and simple transceiver circuits is well suited for ultra low power wireless communication E sensing in dense cluttered environments.the objective of this proposed project is to investigate modulation and medium access control protocols for energy efficient wireless sensors with simultaneous nodes localization capability. These wireless sensor are expected to work in dense cluttered environments for E sensing applications such as environmental monitoring, industrial monitoring and target tracking.

3 Proposed Research Project (2): Law Choi Look Ultra low power wireless communication devices for E sensing in dense cluttered environments Indoor environments and underground environments are examples of dense cluttered environments. These environments are known to be hostile to wireless communication signals due to multipath signals. Current low power wireless communication technologies such as Zigbee and Bluetooth are highly susceptible to multipath signals (suffers from flat fading), resulting in degraded performances. Wide bandwidth signaling (such as OFDM) is currently used to overcome the impairments caused by multipath signals. However, complex transceiver circuits are used resulting in increased power consumption. Ultrawideband impulse radio (UWB IR) is an innovative signaling method whereby the carrier frequency is turned on for a few cycles in a data symbol. This short pulse duration results in multipath signal arrivals which do not interfere with the direct path transmission. Precise ranging based on time of arrival of the direct path signal can also be extracted.the objective of this proposed project is to investigate hardware circuits for energy efficient transmission of environmental data (e.g temperature, light intensity, etc) from numerous spatially distributed sources to a central receiver using UWB IR signals. The investigations include novel circuits for energy efficient generation of UWB IR electro magnetic waves with superimposed data modulation and energy.

4 Proposed Research Project (3): Law Choi Look Multi band GNSS Antenna and Radio Frequency Front End Global Positioning System (GPS) is currently widely used for guidance and navigation. However, in forested environment and urban environment, the number of GPS satellites in view is limited resulting in degraded positioning information and even some areas with denied positioning information. Signal attenuation by foliage and buildings causes weak signal reception at the receiver. In urban canyon, the direct line of sight signal from the satellite is weaker than the reflected signals off major building structures (multi path signal). This causes the receiver to track the multi path signal resulting in degraded position information.these problems can be minimized by incorporating other positioning systems in the Global Navigation Satellite System (GNSS) such as GLONASS, COMPASS and Galileo. This increases the number of satellites available for computation of the positioning information at any given time and hence resulting in improved positioning accuracy and reliability. In addition, the diverse signal characteristics in the various GNSS systems and synchronized signal transmissions in multiple bands from the same GNSS system can be tapped to help weak signal acquisition. Each transmission system in GNSS operates at different frequencies, signal modulation and coding. Simultaneous reception of multiple or all of the above mentioned GNSS systems require a multi band antenna and receiver front end. This project aims to develop a receiver front end for GNSS solution in weak signal and multipath environment.

5 Proposed Research Project (1): Yap Kim Hui Mobile Visual Object Search The growing usage of mobile devices has led to proliferation of many mobile applications. Amongst them, mobile media visual object search is an emerging application that is receiving growing attention recently. The objective of mobile visual search is to recognize the objects of the captured images, and then retrieve relevant information of the recognized objects. An example of such applications is mobile consumer product recognition and recommendation service where the user can capture the image of a consumer product (e.g. book/cd/dvd cover, logo, advertisements, etc.) and then use the system to recognize it and retrieve relevant information such as the brand name, the price comparison and recommendation, the shops nearby selling the product, etc.. The project will study key issues including visual content analysis, large scale visual search and recognition, and user system interaction. An example of the developed system similar to this project can be viewed at Google Goggle Lab v Proposed Research Project (2): Yap Kim Hui ekhyap@ntu.edu.sg Mobile Media Visual Search and Applications The objective of this project is to study and develop content analysis for mobile media applications. In particular, it aims to develop and transform a mobile device into a portable information terminal that renders various situation aware mobile services, e.g. mobile landmark recognition, augmented reality city guide, and consumer product recognition. The project will investigate key issues including content and context analysis, efficient visual search and recognition, and user system interaction. An example of the developed system similar to this project can be viewed at Google Goggle Lab video.

6 Proposed Research Project : Yuan Junsong jsyuan@ntu.edu.sg Object Search and re identification in Surveillance Videos This project target at object search and re identification in video. The student will have chance to collaborate with leading research lab in industry. Proposed Research Project : Ling Keck Voon ekvling@ntu.edu.sg A Toolbox for Software GNSS Receiver (Electrical & Systems and Info-Communications) Ever wonder how GPS Receiver Works? In this project you will develop a software GNSS/GPS receiver on a laptop. This can be used for teaching the fundamentals of GPS Receiver, or to investigate and improve the various components of the entire GPS receiver.