Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

On Educational psychology: A cognitive view.

https://homepages.fhv.at/hgb/New-Papers/CMAME07_BS07b.pdf

Robust Optimization - A Comprehensive Survey

Sustainability in the construction industry: A review of recent developments based on LCA

The motivation of this study is to enhance the traditional uses of design notebooks as teamwork assessment tools. Here, this is done by relating the individual student's entries in the design notebook to peer evaluations. The objective of this study is to show that design notebooks are also effective indicators of good teamwork participation. During the course, students are introduced to essential elements of reflective thinking in the engineering design, the design process, and teamwork. A pedagogical approach developed by the authors is used to guide the students to the completion of their engineering design project. This is a pedagogical approach to creative engineering design education that has previously been shown to establish a close relationship with and within design teams of students. The students are also instructed on the writing of effective design notebooks. The design notebooks are evaluated on five essential elements based on rubrics developed. A separate tool for peer evaluation of the team members is developed and applied. The correlation of the data obtained from design notebooks to that from the peer evaluation is discussed. Suggestions are made on how design notebooks could be enhanced to provide information on team dynamics.

Design notebooks as indicators of student participation in team activities

This paper presents the quantification of uncertainties in the prediction of settlements of embankments built on prefabricated vertical drains (PVDs) improved soft soil deposits based on data collected from two well-documented projects, located in Karakore, Ethiopia, and Ballina, Australia. For this purpose, settlement prediction biases and settlement distributions were statistically computed based on analyses conducted on two Class A and Class C numerical predictions made using PLAXIS 2D finite element modelling. From the results of prediction bias, Class C predictions agreed well with the field measured settlements at both sites. In Class C predictions, the computed settlements were biased to the measured values. For Class A predictions, the calculated settlement values were in the range of mean and mean minus 3SD (standard deviations) for Karakore clay, and they were within mean and mean minus 2SD limit for the Ballina soil. The contributing factors to the settlement uncertainties of the Karakore site may include variability within the soil profile of the alluvial deposit, particularly the presence of interbedded granular layer within the soft layers, and the high embankment fills, and the limited number of samples available for laboratory testing. At the Ballina test embankment site, the uncertainties may have been associated with the presence of transitional layers at the bottom of estuarine clay and sensitivity of soft soil to sample disturbances and limitations in representing all the site conditions.

/pdf/uncertainty-analysis-in-prediction-of-settlements-for-2mr3yg69kn.pdf

Uncertainty Analysis in Prediction of Settlements for Spatial Prefabricated Vertical Drains Improved Soft Soil Sites

Pan-mentoring, a pedagogical approach to creative engineering design education, establishes a close relationship between the pan-mentor and a design team of students as well as among the individuals within the team. This paper focuses on the impact of the selection (and screening) of design projects on pan-mentoring in creative engineering design. The selected projects should, among others, have good prospects for successful completion, stimulate creativity, and be challenging. This paper will analyze four sources of design projects, namely, faculty projects, industry supported projects, student initiated projects, and projects for design competitions. A project-screening scheme will be discussed. An assessment will be performed on the student selection process. Additional data will be provided to show the impact of the project selection on the students' perception on the design activity. It will also be shown that a well selected project and the application of the pan-mentoring pedagogy can enhance engineering design education and help to prepare students for a fast changing future. This study was performed at two universities.

Impact of Selection of Projects on Pan-Mentoring in Creative Engineering Design

Recently, there have been a number of research activities on spur gears with asymmetric teeth. The benefits of asymmetric gears are: higher load capacity, reduced bending and contact stress, lower weight, lower dynamic loads, reduced wear depths on tooth flank, higher reliability, and higher efficiency. Each of the benefits can be obtained through asymmetric teeth designed correctly. Gears operate in several conditions, such as inappropriate lubrication, excessive loads and installation problems. In working conditions, damage can occur in tooth surfaces due to excessive loads and unsuitable operating conditions. One of the important parameters of the tooth is stiffness, which is found to be reduced proportionally to the severity of the defect by asymmetric tooth design as described in this paper. The estimation of gear stiffness is an important parameter for determining loads between the gear teeth when two sets of teeth are in contact. In this paper, a 2-D tooth model is developed for finite elements analysis. A novel formula is derived from finite element results in order to estimate tooth stiffness depending on the tooth number and pressure angle on the drive side. Tooth stiffness for spur gears with asymmetric teeth is calculated and the results were compared with well known equations in literature.Copyright © 2014 by ASME

Stephen Ekwaro-Osire

Papers

Design notebooks as indicators of student participation in team activities

Uncertainty Analysis in Prediction of Settlements for Spatial Prefabricated Vertical Drains Improved Soft Soil Sites

Impact of Selection of Projects on Pan-Mentoring in Creative Engineering Design

A Novel Method for Calculation Gear Tooth Stiffness for Dynamic Analysis of Spur Gears With Asymmetric Teeth

Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks