Service-lenrning is n pedagogy where students engage in service thnr is linked with the course learning objectives. Research has shown thnt students participating in service-lenming have U higher comprehension of the course material and also develop nn nwareness offheir local community and the issues if faces. Critical to servicelearning is n reflective or metacognifive componenf fhaf provides students with d e opporfunity tu make the connection between the service and the issues related f o fhe service and the course learning objectives. In engineering, there are m any examples of infegrafing community service inzo courses rnnging/rom /reshman introducfory courses to senior level capstone courses. Despite successes found in these programs, the integrntion of efective reflection componenrs remains an men where the engineering education community continues to struggle. The EPICS program at Purdue University has developed a number of activities and materials to engage students in reflection. with a focus on technicai. sociai, and ethicaf reflection. This paper wiil present the development of these materials, resuitsfrom the current materials, and a discussion ofjiuture plans.
This paper presents a technique to incorporate psychoacoustic models into an adaptive wavelet packet scheme to achieve perceptually transparent compression of high-quality (44.1 kHz) audio signals at about 45 kb/s. The filter bank structure adapts according to psychoacoustic criteria and according to the computational complexity that is available at the decoder. This permits software implementations that can perform according to the computational power available in order to achieve real time coding/decoding. The bit allocation scheme is an adapted zero-tree algorithm that also takes input from the psychoacoustic model. The measure of performance is a quantity called subband perceptual rate, which the filter bank structure adapts to approach the perceptual entropy (PE) as closely as possible. In addition, this method is also amenable to progressive transmission, that is, it can achieve the best quality of reconstruction possible considering the size of the bit stream available at the encoder. The result is a variablerate compression scheme for high-quality audio that takes into account the allowed computational complexity, the available bitbudget, and the psychoacoustic criteria for transparent coding. This paper thus provides a novel scheme to marry the results in wavelet packets and perceptual coding to construct an algorithm that is well suited to high-quality audio transfer for internet and storage applications.
We introduce a new recursion that reduces the complexity of training a semi-Markov model with continuous output distributions. We show that the cost of training is proportional to M 2 + D, compared to M 2 D with the standard recursion, where M is the observation vector length and D is the maximum allowed duration.
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