scholarly journals NOVEL METHOD TO TEACHING ELECTRICAL AND COMPUTER ENGINEERING COURSES BY A MODERN MULTIMEDIA-BASED APPROACH

Author(s):  
Raymond Phan

This paper presents a novel approach to Electrical and Computer Engineering education at Ryerson University. First, the board is eliminated all together, using a Tablet PC. Handwriting recognition software is used to display any notes and diagrams that were originally intended on a board. Next, the lecture has its desktop video, and audio through a microphone, captured in real-time using CamStudio, an open source video capturing tool, while simultaneously addressing the class. After, the video captures are placed on a public video sharing website, where students may access the videos at any time, to review lectures as if they were physically in the lecture on that day. The overall averages for the courses currently taught by the author, in comparison to the previous years, has raised by roughly 8%, demonstrating that this method of education is sufficiently better, and significantly improves the learning process.

Author(s):  
J Ph Guillet ◽  
E Pilon ◽  
Y Shimizu ◽  
M S Zidi

Abstract This article is the first of a series of three presenting an alternative method of computing the one-loop scalar integrals. This novel method enjoys a couple of interesting features as compared with the method closely following ’t Hooft and Veltman adopted previously. It directly proceeds in terms of the quantities driving algebraic reduction methods. It applies to the three-point functions and, in a similar way, to the four-point functions. It also extends to complex masses without much complication. Lastly, it extends to kinematics more general than that of the physical, e.g., collider processes relevant at one loop. This last feature may be useful when considering the application of this method beyond one loop using generalized one-loop integrals as building blocks.


Author(s):  
Vincent Chang

With a growing need to reform Chinese higher engineering education, University of Michigan—Shanghai Jiao Tong University Joint Institute (JI) initiated multinational corporation-sponsored industrial-strength Capstone Design Projects (CDP) in 2011. Since 2011, JI has developed 96 corporate-sponsored CDPs since its inception, which include multinational corporation sponsors such as Covidien, Dover, GE, HP, Intel, NI, Philips, and Siemens. Of these projects, healthcare accounts for 27%, energy 24%, internet technology (IT) 22%, electronics 16%, and other industries 11%. This portfolio reflects the trends and needs in the industry, which provides opportunities for engineering students to develop their careers. An accumulated 480 JI students have been teamed up based on their individual backgrounds, specifically electrical engineering, computer engineering, computer science, mechanical engineering, and biomedical engineering. The corporate-sponsored rate grew from 0% in 2010 to 86% in 2014.


2018 ◽  
Vol 123 (1259) ◽  
pp. 79-92
Author(s):  
A. Kumar ◽  
A. K. Ghosh

ABSTRACTIn this paper, a Gaussian process regression (GPR)-based novel method is proposed for non-linear aerodynamic modelling of the aircraft using flight data. This data-driven regression approach uses the kernel-based probabilistic model to predict the non-linearity. The efficacy of this method is examined and validated by estimating force and moment coefficients using research aircraft flight data. Estimated coefficients of aerodynamic force and moment using GPR method are compared with the estimated coefficients using maximum-likelihood estimation (MLE) method. Estimated coefficients from the GPR method are statistically analysed and found to be at par with estimated coefficients from MLE, which is popularly used as a conventional method. GPR approach does not require to solve the complex equations of motion. GPR further can be directed for the generalised applications in the area of aeroelasticity, load estimation, and optimisation.


2016 ◽  
Vol 81 (10) ◽  
pp. 1111-1119 ◽  
Author(s):  
Fatemeh Bagheri ◽  
Abolfazl Olyaei

A novel method was developed for synthesizing a series of new three dentate Schiff base ligands starting from hydroxynaphthalidene pyrimidinyl amines with o-phenylenediamines or o-aminophenol or 2-amino-3-hydroxy-pyri-dine in the presence of formic acid catalyst under solvent-free conditions. In these reactions [1+1] condensation product as half-unit ligand was obtained. Moreover, the reaction of hydroxynaphthalidene pyrimidinyl amines with 3,4-diamino-pyridine and 1,8-naphthalenediamine lead to the formation of C2-naphthylated imidazopyridine and dihydropyrimidine, respectively. The attractive features of this protocol are: use of inexpensive catalyst, operationally simple, short reaction times, easy handling, and good yields.


2020 ◽  
Vol 8 (6) ◽  
pp. 5820-5825

Human computer interaction is a fast growing area of research where in the physiological signals are used to identify human emotion states. Identifying emotion states can be done using various approaches. One such approach which gained interest of research is through physiological signals using EEG. In the present work, a novel approach is proposed to elicit emotion states using 3-D Video-audio stimuli. Around 66 subjects were involved during data acquisition using 32 channel Enobio device. FIR filter is used to preprocess the acquired raw EEG signals. The desired frequency bands like alpha, delta, beta and theta are extracted using 8-level DWT. The statistical features, Hurst exponential, entropy, power, energy, differential entropy of each bands are computed. Artificial Neural network is implemented using Sequential Keras model and applied on the extracted features to classify in to four classes (HVLA, HVHA, LVHA and LVLA) and eight discrete emotion states like clam, relax, happy, joy, sad, fear, tensed and bored. The performance of ANN classifier found to perform better for 4- classes than 8-classes with a classification rate of 90.835% and 74.0446% respectively. The proposed model achieved better performance rate in detecting discrete emotion states. This model can be used to build applications on health like stress / depression detection and on entertainment to build emotional DJ.


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