Search results for "VDP::Mathematics and natural science: 400"
showing 10 items of 421 documents
Perspectives and reflections on teaching linear algebra
2020
Abstract This paper presents ‘expert opinions’ on what should be taught in a first-year linear algebra course at university; the aim is to gain a generic picture and general guiding principles for such a course. Drawing on a Delphi method, 14 university professors—called ‘experts’ in this study—addressed the following questions: What should be on a first-year linear algebra undergraduate course for engineering and/or mathematics students? How could such courses be taught? What tools (if any) are essential to these two groups of students? The results of the investigation, these experts’ opinions, mainly concern what should be in a linear algebra course (e.g. problem-solving and applications)…
Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process
2014
Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/836895 Open Access This paper investigates the proficiency of support vector machine (SVM) using datasets generated by Tennessee Eastman process simulation for fault detection. Due to its excellent performance in generalization, the classification performance of SVM is satisfactory. SVM algorithm combined with kernel function has the nonlinear attribute and can better handle the case where samples and attributes are massive. In addition, with forehand optimizing the parameters using the cross-validation technique, SVM can produce high accuracy i…
A mahalanobis hyperellipsoidal learning machine class incremental learning algorithm
2014
Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/894246 Open Access A Mahalanobis hyperellipsoidal learning machine class incremental learning algorithm is proposed. To each class sample, the hyperellipsoidal that encloses as many as possible and pushes the outlier samples away is trained in the feature space. In the process of incremental learning, only one subclassifier is trained with the new class samples. The old models of the classifier are not influenced and can be reused. In the process of classification, considering the information of sample's distribution in the feature space, the Ma…
Semi-supervised classification using tree-based self-organizing maps
2011
Published version of an article from the following onference prodeedings: AI 2011: Advances in Artificial Intelligence. Also available from the publisher on SpringerLink: http://dx.doi.org/10.1007/978-3-642-25832-9_3 This paper presents a classifier which uses a tree-based Neural Network (NN), and uses both, unlabeled and labeled instances. First, we learn the structure of the data distribution in an unsupervised manner. After convergence, and once labeled data become available, our strategy tags each of the clusters according to the evidence provided by the instances. Unlike other neighborhood-based schemes, our classifier uses only a small set of representatives whose cardinality can be m…
SimReal+ i matematikkundervisning på universitetsnivå En studie av lærerens orkestreringer i relasjon til verktøyets nytteverdi for studentene
2015
Masteroppgave matematikkdidaktikk- Universitetet i Agder, 2015 This thesis is a case study conducted in the first year of engineering studies at the University of Agder. The course observed is physics, where the software SimReal+ is integrated into the teaching. The study focuses the mathematical part of the course related to differentiation and integration. In my study, I focus on both the lecturer and students taking the course. The study examines the teacher-orchestrations that can be identified in lectures and exercises, and perceptions students have related to the usefulness of SimReal+ and some teacher-orchestrations. My research questions are: 1. What types of teacher-orchestrations …
Using the interactive learning environment aplusix for teaching and learning school algebra: A research experiment in a middle school
2011
Published version of an article from the journal: Turkish Online Journal of Educational Technology. Also available from the publisher: http://www.tojet.net/ Open Access Most software tools that have been developed with the aim of helping students to learn school algebra have not yet achieved successful results in classroom. Almost all of them are menu-based systems that provide transformation rules in menus and buttons. Aplusix is a new interactive software tool for learning school algebra. In contrast to existing software tools in mathematics education, Aplusix has been developed to allow students to freely build and transform algebraic expressions as they can do on paper. In addition, Apl…
Elevers matematikksamtaler : Læring i og mellom praksiser
2012
Doktorgradsavhandling ved Universitetet i Agder, Fakultet for teknologi og realfag The aim of this study “Students´mathematical conversations – Learning in and beween practices” is to examine students’ mathematical conversations and the students learning in and between practices. I study what characterizes mathematical conversations, and explore what potential the participation in such conversations in and outside school, have towards critical learning of mathematics. It is an expressed political goal that the subject of mathematics should be more practical in school. The government’s strategic document “Realfag for framtida, [MST for the future] 2010–2014”, describes company as an arena fo…
ICT for inquiry in mathematics: A developmental research approach
2009
Accepted version of an article published in the journal: Journal of computers in mathematics and science teaching Copyright 2009 by the Association for the Advancement of Computing in Education (AACE). [http://www.aace.org] Included here by permission" Computers and calculators are in general widely used in Norwegian schools, but with limited use in specific school subjects, as particularly in mathematics teaching. Various reports from surveys and research projects indicate that teachers’ competence with ICT is a crucial point, and that teachers’ lack of knowledge of how to utilise software for mathematics is a key challenge for further development. In the project ICT and mathematics learni…
Phase sticking in one-dimensional Josephson junction chains
2013
Published version of an article in the journal: Physical Review B - Condensed Matter and Materials Physics. Also available from the publisher at: http://dx.doi.org/10.1103/PhysRevB.88.104501 We studied current-voltage characteristics of long one-dimensional Josephson junction chains with Josephson energy much larger than charging energy, EJ EC. In this regime, typical I-V curves of the samples consist of a supercurrent-like branch at low-bias voltages followed by a voltage-independent chain current branch, Ichain at high bias. Our experiments showed that Ichain is not only voltage-independent but it is also practically temperature-independent up to T=0.7TC. We have successfully model the tr…
On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases
2011
Published version of an article in the journal: Pattern Analysis and Applications. Also available from the publisher at: http://dx.doi.org/10.1007/s10044-011-0199-9 We consider the micro-aggregation problem which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best partition of the micro-data file, is known to be NP-hard, and has been tackled using many heuristic solutions. In this paper, we would like to demonstrate that in the process of developing micro-aggregation techniques (MATs), it is expedient to incorporate information about the dependence between the random variable…