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Displaying all 4 results
Collection
2013 Spring ASEE Middle Atlantic Section Conference
Authors
Masoud Fathizadeh; Gil Cabrera; Mark Werthman; George Zawislak
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Collection
2013 Spring ASEE Middle Atlantic Section Conference
Authors
Chiranjit Das; Zeinab Al obaidi; Navarun Gupta
biomedical imagingapplications is Alzheimer's disease classification. The proposed paper talks about the feature extraction of the MRImages in Alzheimer’s disease. Here we introduce the concept of Non-Separable Wavelet Transform which can beused as an image segmentation technique. We use the Q-shift 10 length filter bank combination which reveals moreinformation in the low frequency signals, thus segmenting the image to highlight the portion of concern. Then weuse the area technique to classify the image. Finally, a GUI is used to show the results based on the proposedmethod.Keywords: - MR Images, DWT, 2DT-CWT, Alzheimer’s disease, Segmented Image.Introduction:Diagnosing patients affected by Alzheimer’s disease at an early stage plays a crucial role
Collection
2013 Spring ASEE Middle Atlantic Section Conference
Authors
Howard Silver
) willhave a peak amplitude at a center or resonant frequency f0 = 800kHz., with a bandwidth (i.e.difference between the upper and lower 3dB frequencies) of 10kHz. The circuit could be used to“tune” to an AM radio station with an 800 kHz. carrier frequency and provide the 10kHz. bandtypically used for audio reception. The quality factor for the circuit (Q) is the ratio of f0 to thebandwidth, giving us Q = 80 for this circuit.A slide range of 750,000 to 850,000 is selected.The callback function applies standard AC circuit analysis, using phasors and compleximpedances, to find the steady state sinusoidal voltages across R, L and C. These three voltages,VR, VL and VCrespectively, along with the source voltage Vin are plotted over one periodT = 1
Collection
2013 Spring ASEE Middle Atlantic Section Conference
Authors
Fangyang Shen; Bing Qi; Hong Li; Arvid Friberg
;RQIHUHQFH RI WKH $PHULFDQ 6RFLHW\ RI (QJLQHHULQJ (GXFDWLRQ [21] G. Olivier, J. Raynauld, R. Camarero, “Learning Outcomes in a Model-based approach toCurriculum Design,” Fifth International Conference on Internet and Web Applications andServices, 2010.[22] E. Lawson, W. Stackpole, “Does a Virtual Networking Laboratory Result in Similar StudentAchievement and Satisfaction”, SIGITE'06, Minneapolis, Minnesota, USA, 2006.[23] Y. Shang-ying, Lan Rui-le, Q. Li, “On Network Curriculum Design and Practice,” The 7thInternational Conference on Computer Science & Education, Melbourne, Australia, Jul. 2012.[24] Z