This paper presents analysis and development of a forensic domain ontology to support an automated visual surveillance system. The proposed domain ontology is built on a specific use case based on the severe riots that swept across major UK cities with devastating effects during the summer 2011. The proposed ontology aims at facilitating the description of activities, entities, relationships, resources and consequences of the event. The study exploits 3.07 TB data provided by the Londons Metropolitan Police (Scotland Yard) as a part of European LASIE project 1. The data has been analyzed and used to guarantee adherence to a real-world application scenario. A 'top-down development' approach to the ontology design has been taken. The ontology is also used to demonstrate how high level reasoning can be incorporated into an automatop-ted forensic system. Thus, the designed ontology is also the base for future development of knowledge inference as response to domain specific queries.

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Abstract-A novel green phase shifter system is proposed in this research. The system is developed by a combination of reconfigurable beam steering antennas and data acquisition (DAQ) boards. A combination of two reconfigurable beam steering antennas, located side-by-side, forms a spatial configuration structure with a fabricated 'green' element plank of rice husk placed in between. The concept of a spatial configuration technique has been 'mutated' by shifting the structure of spiral feed line and aperture slots of first beam steering antenna by as much as 45 • . The PIN diode switches connected to the DAQ boards enable the intelligent capability of the spatial antennas. • . Moreover, a mutual coupling effect generated by the spatial configuration of both antennas is alleviated by the element plank of rice husk, whose width, length, and thickness are 45 mm, 150 mm, and 10 mm, respectively. Possessing the characteristics of an adaptive new phase shifter concept and assisted by the green element of a rice husk, this system is potentially an effective way to decrease the number of drop outs and lost connections, and provides larger coverage. It is a promising candidate for installation with a WiMAX application.

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Increasingly powerful integrated circuits are making an entire range of new applications possible. Recent technological advances are enabling a new generation of smart cameras that represent a quantum leap in sophistication. While today's digital cameras capture images, smart camera capture high-level descriptions of the scene and analyze what they see. A smart camera combines videosensing, high-level video processing and communication within a single embedded device. Smart cameras not only capture images, they further perform high-level image processing on-board, and transfer the data via network. In this project, embedded smart camera utilizing the use of Single Board Computer (SBC) and GNU/Linux is presented. This paper presents the performance analysis on processing speed and CPU utilization for embedded smart camera using three different computer platforms. Two Single Board Computers from Technologic System, TS-5500 and TS-7200 are being introduced in this paper. The hardware and software design as well as the experimental results are also presented.