OAR@UM Collection: /library/oar/handle/123456789/10955 2025-11-05T04:12:15Z In-vehicle speed monitoring system /library/oar/handle/123456789/92986 Title: In-vehicle speed monitoring system Abstract: In-vehicle monitoring (black box) technology is rapidly increasing in EU countries, with many different applications of this black box now available. Basically it monitors how, when and where a vehicle is being driven, records the data and gives a feedback about different behaviors to the driver and/or other parties. Some systems also provide alerts to the driver if they are driving at a certain risk. The driving manners are the actions that may put the driver in chance of crashing or may increase the severity of the crash, such as harsh braking, excessive speed, not using a seat belt, and so on. These are the behaviors that need to be monitored to calculate how risky a person is driving. Effectively, it can also alert the driver to take the precautions needed to reduce the driver's crash risk. This work consisted of the integration of a GPS receiver together with a LCD module and SD card module that are used to provide the realization of a vehicle monitoring system. This takes the form of a data logging system, by which one can view all the necessary data on a personal computer in order to provide supervision for individuals at the act of driving. The goal was to implement the GPS system on a Field Programmable Gate Array (FPGA) using VHDL (VHSIC Hardware Description Language). The prototype is first simulated and tested using ISE Design Suite 14.7. The GPS data is manipulated, filtered and finally displayed on an LCD module. The data is also saved on an SD card for different users to view the recorded data. Description: B.SC.(HONS)COMPUTER ENG. 2015-01-01T00:00:00Z Scheduling of MPEG-DASH compliant multi-view over LTE /library/oar/handle/123456789/78358 Title: Scheduling of MPEG-DASH compliant multi-view over LTE Abstract: Video traffic over the Internet has increased drastically over the past few years, and higher data rates offered by Long Term Evolution (LTE) networks will lead to even further video streaming activity over mobile devices. Higher definition video streams and new multimedia services are also being offered, in conjunction with further improvement and development of video codecs to minimise the bandwidth requirements, such as three-dimensional (3D) videos. Throughout the enhancement of display capabilities and core architectures on mobile devices, Multi-view video (MVV) services, which offer a 3D viewing experience with a high degree of freedom are being proposed. Description: M.SC.COMM.&COMPUTER ENG. 2015-01-01T00:00:00Z A study of automated feature extraction and classification for music emotion recognition /library/oar/handle/123456789/77708 Title: A study of automated feature extraction and classification for music emotion recognition Abstract: Research in Music 福利在线免费 Retrieval has been approached by considering the raw acoustic signal or the human annotated textual metadata. These approaches have resulted in a semantic gap between computational models and the understanding of music from a purely human perspective. This dissertation is an attempt to highlight points of focus that can con tribute to the narrowing of the semantic gap. It studies the relationship between the listeners' understanding of music and the underlying musical concepts. The study considers music emotion as the higher level concept for classification. Approaches to music emotion recognition through the ex traction of perceptual features are compared. A dataset was built to carry out the comparative analysis. Human-rated features and emotion descriptors are obtained through a subjective test, while computational features are extracted using publicly available tools. The accurate representation of the perceptual musical concepts by the computational features is tested using regressive modelling. Accuracy is checked by comparing the performance of the modelled and extracted features in music emotion recognition. This dissertation finds that the computational features still do not singularly represent the respective perceptual concept. Subjectivity of emotions is found to be mainly located in the valence dimension, particularly for calmer music, where classification accuracy is as low as 12%. The accuracy in classifying the energetic mood component exceeds 90%, since its main predictors, Speed and Dynamics are the most accurately modelled features, with correlation coefficients of 0.89 and 0.93 respectively. Hence, for improving Music Emotion Recognition, focus needs to be directed to the identification of computational features that can accurately model the perceptual predictors for valence. This dissertation concludes that computational perceptual features have the potential of narrowing the semantic gap and thus simplifying tasks in Music 福利在线免费 Retrieval. Description: M.SC.ICT COMMS&COMPUTER ENG. 2015-01-01T00:00:00Z Multi-processor RTOS operations /library/oar/handle/123456789/11409 Title: Multi-processor RTOS operations Abstract: Universal Asynchronous Receiver/Transmitter (UART) based data transfer is a straightforward proposition with the 8051 family, allowing information to be transferred to an embedded application. UART may also be used as the hardware foundation in a simple, low-cost technique for linking two or more microcontrollers together. One way of transferring data between two or more microcontrollers is by using serial transmission. The Real Time Operating System (RTOS) is implemented using the C programming language. The multi-processor RTOS is implemented on Silicon Labs C8051F020 boards, one as a Master node and the other used as a Slave node, using Paul鈥檚 Operating System (PaulOS) as the operating system and an RS-232 cable and some basic add-ons such as a circuit board for the LED lights and other electronic parts used for testing and simulation purposes. Description: B.SC.IT(HONS) 2015-01-01T00:00:00Z