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Lärarlärdom Högskolepedagogisk konferens 2012
No full textHögskolepedagogisk utveckling har under senare år fått en tydligare och mer
framträdande roll vid universitet och högskolor. Under senare år har också ett
allt större fokus riktats mot utbildningars resultat. Frågor som rör kvaliteten
i undervisningen blir därmed centrala. Att utveckla och stödja lärares
pedagogiska skicklighet samt belysa villkoren för den undervisning som bedrivs
inom högre utbildning är angeläget. Behovet av en gemensam samlingspunkt för
pedagogiska och didaktiska diskussioner där BTH:s och Högskolan i Kristianstads
lärare kan träffas och föra dessa diskussioner tillsammans och över
ämnesgränser är stort. Genom att anordna en årlig högskolepedagogisk konferens
vill vi främja ett utbyte av erfarenheter från den dagliga undervisningen och
insikter kring det lärande som möjliggörs.
Lärarlärdom 2012 gick av stapeln på Blekinge Tekniska Högskola den 15 augusti
och samlade ett femtiotal deltagare.
Den inledande föreläsningen samt ytterligare tre presentationer finns inspelade
och finns på Medieportalen på Blekinge Tekniska Högskola.
http://tuba.bth.se/medieportal/play/510/Lararlardom-pa-BT
Estimating performance of mobile services from comparative output-input analysis of end-to-end throughput
No full textMobile devices with ever-increasing functionality and the ubiquitous
availability of wireless communication networks are driving forces behind
innovative mobile applications enriching our daily life. One of the performance
measures for a successful application deployment is the ability to support
application-data flows by heterogeneous networks within certain delay
boundaries. However, the quantitative impact of this measure is unknown and
practically infeasible to determine at real-time due to the mobile device
resource constraints. We research practical methods for measurement-based
performance evaluation of heterogeneous data communication networks that
support mobile application-data flows. We apply the lightweight Comparative
Output-Input Analysis (COIA) method estimating an additional delay based on an
observation interval of interest (e.g., one second) induced on the flow. An
additional delay is the amount of delay that exceeds non-avoidable, minimal
end-to-end delay caused by the networks propagation, serialization and
transmission. We propose five COIA methods to estimate additional delay and we
validate their accuracy with measurements obtained from the existing healthcare
and multimedia streaming applications. Despite their simplicity, our methods
prove to be accurate in relation to an observation interval of interest, and
robust under a variety of network conditions. The methods offer novel insights
into application-data delays with regards to the performance of heterogeneous
data communication networks
A No-Reference Machine Learning Based Video Quality Predictor
No full textThe growing need of quick and online estimation of video
quality necessitates the study of new frontiers in the area
of no-reference visual quality assessment. Bitstream-layer
model based video quality predictors use certain visual quality
relevant features from the encoded video bitstream to
estimate the quality. Contemporary techniques vary in the
number and nature of features employed and the use of prediction
model. This paper proposes a prediction model with a
concise set of bitstream based features and a machine learning
based quality predictor. Several full reference quality metrics
are predicted using the proposed model with reasonably good
levels of accuracy, monotonicity and consistency
Design and Evaluation of Affective Serious Games for Emotion Regulation Training
No full textEmotions are thought to be a key factor that critically influences human
decision-making. Emotion regulation can help to mitigate emotion related
decision biases and eventually lead to a better decision performance. Serious
games emerged as a new angle introducing technological methods to learning
emotion regulation, where meaningful biofeedback information displays player's
emotional state.
This thesis investigates emotions and the effect of emotion regulation on
decision performance. Furthermore, it explores design and evaluation methods
for creating serious games where emotion regulation can be learned and
practiced.
The scope of this thesis was limited to serious games for emotion regulation
training using psychophysiological methods to communicate user's affective
information. Using the psychophysiological methods, emotions and their
underlying neural mechanism have been explored. Through design and evaluation
of serious games using those methods, effects of emotion regulation have been
investigated where decision performance has been measured and analyzed. The
proposed metrics for designing and evaluating such affective serious games have
been exhaustively evaluated. The research methods used in this thesis were
based on both quantitative and qualitative aspects, with true experiment and
evaluation research, respectively.
Serious games approach to emotion regulation was investigated. The results
suggested that two different emotion regulation strategies, suppression and
cognitive reappraisal, are optimal for different decision tasks contexts. With
careful design methods, valid serious games for training those different
strategies could be produced. Moreover, using psychophysiological methods,
underlying emotion neural mechanism could be mapped to provide optimal level of
arousal for a certain task.
The results suggest that it is possible to design and develop serious game
applications that provide helpful learning environment where decision makers
could practice emotion regulation and subsequently improve their decision
making
A Study of Shear Stress Intensity Factor of PP and HDPE by a Modified Experimental Method together with FEM
No full textShear testing is one of the most complex testing areas where available methods
and specimen geometries are different from each other. Therefore, a modified
shear test specimen (MSTS) combining the simple uniaxial test with a zone of
interest (ZOI) is tested which gives almost the pure shear. In this study,
material parameters of polypropylene (PP) and high density polyethylene (HDPE)
are first measured by tensile tests with a dogbone shaped specimen. These
parameters are then used as an input for the finite element analysis. Secondly,
a specially designed specimen (MSTS) is used to perform the shear stress tests
in a tensile testing machine to get the results in terms of forces and
extension, crack initiation etc. Scanning Electron Microscopy (SEM) is also
performed on the shear fracture surface to find material behavior. These
experiments are then simulated by finite element method and compared with the
experimental results in order to confirm the simulation model. Shear stress
state is inspected to find the usability of the proposed shear specimen.
Finally, a geometry correction factor can be established for these two
materials in this specific loading and geometry with notch using Linear Elastic
Fracture Mechanics (LEFM). By these results, strain energy of shear failure and
stress intensity factor (SIF) of shear of these two polymers are discussed in
the special application of the screw cap opening of the medical or food
packages with a temper evidence safety solution
Case managers for older persons with multi-morbidity and their everyday work -- a focused ethnography
No full textBackground
Modern-day health systems are complex, making it difficult to assure continuity
of care for older persons with multi-morbidity. One way of intervening in a
health system that is leading to fragmented care is by utilising Case
Management (CM). CM aims to improve co-ordination of healthcare and social
services. To better understand and advance the development of CM, there is a
need for additional research that provides rich descriptions of CM in practice.
This knowledge is important as there could be unknown mechanisms, contextual or
interpersonal, that contribute to the success or failure of a CM intervention.
Furthermore, the CM intervention in this study is conducted in the context of
the Swedish health system, which prior to this intervention was unfamiliar with
this kind of coordinative service. The aim of this study was to explore the
everyday work undertaken by case managers within a CM intervention, with a
focus on their experiences.
Methods
The study design was qualitative and inductive, utilising a focused
ethnographic approach. Data collection consisted of participant observations
with field notes as well as a group interview and individual interviews with
nine case managers, conducted in 2012/2013. The interviews were recorded,
transcribed verbatim and subjected to thematic analysis.
Results
An overarching theme emerged from the data: Challenging current professional
identity, with three sub-themes. The sub-themes were 1) Adjusting to familiar
work in an unfamiliar role; 2) Striving to improve the health system through a
new role; 3) Trust is vital to advocacy.
Conclusions
Findings from this study shed some light on the complexity of CM for older
persons with multi-morbidity, as seen from the perspective of case managers.
The findings illustrate how their everyday work as case managers represents a
challenge to their current professional identity. These findings could help to
understand and promote the development of CM models aimed at a population of
older persons with complex health needs
Virtual Instrument Systems in Reality (VISIR) for Remote Wiring and Measurement of Electronic Circuits on Breadboard
No full textThis paper reports on a state-of-the-art remote laboratory project called
Virtual Instrument Systems in Reality (VISIR). VISIR allows wiring and
measuring of electronic circuits remotely on a virtual workbench that
replicates physical circuit breadboards. The wiring mechanism is developed by
means of a relay switching matrix connected to a PCI eXtensions for
Instrumentation (PXI) instrumentation platform. The entire equipment is
controlled by LabVIEW server software, in addition to a measurement server
software that protects the equipment from hazard connections by verifying input
circuit designs, sent by students, before being executed. This paper addresses
other approaches such as remote labs based on Data Acquisition Cards (DAQs),
NetLab, and RemotElectLab, comparing them with VISIR in order to emphasize its
singularity. Topics discussed are as follows: the technical description,
software, operation cycle, features, and provided services. In addition, the
feedback received by students at several universities and the encountered
drawbacks along with the proposed solutions are highlighted. The paper finally
addresses the ongoing and future challenges within the VISIR community
including its integration with Learning Management Systems (LMSs) and iLab
Shared Architecture (ISA), its new hardware version release that is based on
LAN eXtensions for Instrumentation (LXI), and its new open platform version
that supports federated access
Controllable procedural map generation via multiobjective evolution
No full texthis paper shows how multiobjective evolutionary algorithms can be used to
procedurally generate complete and playable maps for real-time strategy (RTS)
games. We devise heuristic objective functions that measure properties of maps
that impact important aspects of gameplay experience. To show the generality of
our approach, we design two different evolvable map representations, one for an
imaginary generic strategy game based on heightmaps, and one for the classic
RTS game StarCraft. The effect of combining tuples or triples of the objective
functions are investigated in systematic experiments, in particular which of
the objectives are partially conflicting. A selection of generated maps are
visually evaluated by a population of skilled StarCraft players, confirming
that most of our objectives correspond to perceived gameplay qualities. Our
method could be used to completely automate in-game controlled map generation,
enabling player-adaptive games, or as a design support tool for human
designers
Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection
No full textMalicious software (malware) represents a threat to the security and the
privacy of computer users. Traditional signature-based and heuristic-based
methods are inadequate for detecting some forms of malware. This paper presents
a malware detection method based on supervised learning. The main contributions
of the paper are two ensemble learning algorithms, two pre-processing
techniques, and an empirical evaluation of the proposed algorithms. Sequences
of operational codes are extracted as features from malware and benign files.
These sequences are used to create three different data sets with different
configurations. A set of learning algorithms is evaluated on the data sets. The
predictions from the learning algorithms are combined by an ensemble algorithm.
The predicted outcome of the ensemble algorithm is decided on the basis of
voting. The experimental results show that the veto approach can accurately
detect both novel and known malware instances with the higher recall in
comparison to majority voting, however, the precision of the veto voting is
lower than the majority voting. The veto voting is further extended as
trust-based veto voting. A comparison of the majority voting, the veto voting,
and the trust-based veto voting is performed. The experimental results indicate
the suitability of each voting scheme for detecting a particular class of
software. The experimental results for the composite F1-measure indicate that
the majority voting is slightly better than the trusted veto voting while the
trusted veto is significantly better than the veto classifier
Bibliometrisk analys av 5 sektioner vid Blekinge Tekniska Högskola, 2012
No full textI denna rapport presenteras en bibliometrisk studie av 5 sektioner vid Blekinge
tekniska högskola. Studien avser publikationer publicerade under 2012.
Huvudsyftet med studien är att ge indikatorer på sektionernas
publiceringsproduktion och -kvalitet samt spegla synligheten på den
internationella tidskriftsmarknaden.
Datakällan för studien är BTHs publiceringsdatabas. Poster i den kompletteras
flera gånger om året med poster ur ISI Web of Science och Scopus databasen. I
tabell 1. återfinns fördelningen av sektionernas publikationer efter
dokumenttyp. Observera att här ingår även dokument som ej undergått sk. Peer
review samt publikationer av typen Letter, Note etc. All följande statistik
baseras på databasens innehåll 130701 samt sökning i ISI Web of Science vid
samma tidpunkt