Blekinge Institute of Technology
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Remotely Controlled Laboratory Setup for Active Noise Control and Acoustic Experiments
This paper presents a remotely controlled educational experiments setup for
Active Noise Control (ANC) and acoustic experiments. The experiments setup is
based on the
Virtual Instruments Systems in Reality (VISIR) open source
platform, National Instruments LabVIEW software and a Digital Signal Processor
TMS320C6713 from Texas Instruments. The software development and equipment are
controlled remotely form a client PC using a standard web browser. The proposed
laboratory setup focuses on ANC experiments applied to noise in a ventilation
duct. The laboratory setup will enable students to test and investigate
properties and behaviour of adaptive algorithms in reality as compared to more
confined simulations usually carried out in Matlab etc. The general steps in
ANC, such as the feasibility of active control, designing, testing and
debugging ANC algorithms, configuration and implementation of an active control
system, are all covered. In addition students will be able to study the effect
of analog to digital converters (ADC), anti-aliasing filters, digital to analog
converters (DAC) and reconstruction filters using digital signal processing in
reality, etc. The laboratory setup is suitable for a wide range of courses such
as sound related experiments in upper secondary school physics, digital signal
processing, adaptive signal processing, and acoustics at university level
Structure and Dynamics of Uganda’s Technological Innovation System
This paper provides insight into Uganda’s evolving innovation system. The
framework used to gain this insight presents science, technology and innovation
as a function of
financing, governance, human capital and the strength of interactions within
and across the functional spheres. From the framework, it appears universities
and public research
organizations are playing a major role in building Uganda’s innovation system.
Public research organizations should, however, collaborate more closely with
universities, and
be more pragmatic in technology dissemination. It seems that in Uganda the
public sector will continue to play a leading role in fostering innovation in
the foreseeable future as the private sector grows. A crucial element of the
public sector support is to have in place stable merit-based system of science
funding where competitive grants are awarded annually for research and
innovation
Compiler Assisted Masking
Differential Power Analysis (DPA) attacks find a statistical correlation
between the power consumption of a cryptographic device and intermediate values
within the computation. Randomization via (Boolean) masking of intermediate
values breaks this statistical dependence and thus prevents such attacks (at
least up to a certain order). Especially for software implementations,
(first-order) masking schemes are popular in academia and industry, albeit
typically not as the sole countermeasure. The current practice then is to
manually 'insert' Boolean masks: essentially software developers need to
manipulate low-level assembly language to implement masking. In this paper we
make a first step to automate this process, at least for first-order Boolean
masking, allowing the development of compilers capable of protecting programs
against DPA
Change blindness when viewing web pages
Change blindness on web pages was studied for 20 participants. The purpose was
to find how change blindness appears for web pages, and which changes are
easier to detect. The task was to detect if a change had occurred and to show
this by the means of the cursor. Rensink´s flicker paradigm was used, where
four categories of changes were presented. It was easier to detect a change not
consisting of a person than one with a person. It was easier to detect a change
to the left than to the right. The complexity of the web pages did not appear
to have an effect, while large changes were easier to detect than small. The
results may indicate that focused attention is differently sensitive for
different kinds of changes. They also show that change blindness is a general
phenomenon that can be applied to the perception of web pages
Money Laundering Detection using Synthetic Data
Criminals use money laundering to make the proceeds from their illegal
activities look legitimate in the eyes of the rest of society. Current
countermeasures taken by financial organizations are based on legal
requirements and very basic statistical analysis. Machine Learning offers a
number of ways to detect anomalous transactions. These methods can be based on
supervised and unsupervised learning algorithms that improve the performance of
detection of such criminal activity.
In this study we present an analysis of the difficulties and considerations of
applying machine learning techniques to this problem. We discuss the pros and
cons of using synthetic data and problems and advantages inherent in the
generation of such a data set. We do this using a case study and suggest an
approach based on Multi-Agent Based Simulations (MABS)
Change Blindness When Viewing Web Pages
Change blindness on web pages was studied for 20 participants. The purpose was
to find how change blindness appears for web pages, and which changes are
easier to detect. The task was to detect if a change had occurred and to show
this by the means of the cursor. Rensink's flicker paradigm was used, where
four categories of changes were presented. It was easier to detect a change not
consisting of a person than one with a person. It was easier to detect a change
to the left than to the right. The complexity of the web pages did not appear
to have an effect, while large changes were easier to detect than small. The
results may indicate that focused attention is differently sensitive for
different kinds of changes. They also show that change blindness is a general
phenomenon that can be applied to the perception of web pages
Practice Selection Framework
Knowledge management (KM) in software engineering and software process
improvement (SPI) are challenging. Most existing KM and SPI frameworks are too
expensive to deploy or do not take an organization’s specific needs or
knowledge into consideration. There is thus a need for scalable improvement
approaches that leverage knowledge already residing in the organizations.
This paper presents the Practice Selection Framework (PSF), an Experience
Factory approach, enabling lightweight experience capture and use by utilizing
postmortem reviews.
Experiences gathered concern performance and applicability of practices used in
the organization, gained from concluded projects. Project managers use these as
decision support for
selecting practices to use in future projects, enabling explicit knowledge
transfer across projects and the development organization as a whole. Process
managers use the experiences to determine if there is potential for improvement
of practices used in the organization. This framework was developed and
subsequently validated in industry to get feedback on usability and usefulness
from practitioners. The validation consisted of tailoring and testing the
framework
using real data from the organization and comparing it to current practices
used in the organization to ensure that the approach meets industry needs. The
results from the validation are encouraging and the participants’ assessment of
PSF and particularly the tailoring developed was positive
Competition-Based Channel Selection for Cognitive Radio Networks
In cognitive radio networks, unlicensed users need to learn from environmental
changes. This is a process that can be done in a cooperative or non-cooperative
manner. Due to the competition for channel utilization among unlicensed users,
the non-cooperative approach may lead to overcrowding in the available
channels. This paper is about a fuzzy-logic based decision making algorithm for
competition-based channel selection. The underlying decision criterion
integrates both the statistics of licensed users' channel occupancy and the
competition level of unlicensed users. By using such an algorithm, the
unlicensed user competitors can achieve an efficient sharing of the available
channels. Simulation results are reported to demonstrate the performance and
effectiveness of our suggested algorithm
Högskolepedagogik: mål, innehåll, metod
Högskolepedagogikens status beror på utformningen av kursernas mål, innehåll
och metoder. Planering och utvärdering är viktiga men knappast centrala
delmoment i sammanhanget. Ett angeläget mål för de högskolepedagogiska kurserna
är att de ska höja deltagarnas undervisningskompetens. Fel utformning av
utbildningens praktiska fas leder till abstraktion och fragmentering snarare än
integration och systemtänkande. Feltänk vid utformningens teoretiska fas leder
till utvecklingspsykologi snarare än ämnesdidaktik. Det ligger på anordnarens
ansvar att förena pedagogisk teori och praktik. Utbildningarna måste utgå från
deltagarnas behov och erbjuda ämnes(områdes)didaktiskt kursinnehåll
Remotely Controlled Active Noise Control Laboratories
Remotely controlled laboratories in educational institutions are gaining
popularity at an exponential rate due to the multidimensional benefits they
provide. The Virtual Instrument Systems in Reality (VISIR) project by Blekinge
Institute of Technology (BTH) Sweden has successfully implemented remotely
controlled laboratories, with remotely controlled real instruments and
experimental setups. Currently these laboratories provide students the
opportunity to conduct experiments in the field of electronics, antenna theory
and mechanical vibration measurements. In this paper a prototype system of a
remotely controlled laboratory for active noise control (ANC) is introduced.
The proposed lab will focus on addressing the problem of a ventilation duct
noise. The laboratory is informative and to a great extent introduces a student
to the general steps in ANC when it is suggested as a plausible solution for a
noise problem. The student can perform an investigation concerning feasibility
of active control, design, configuration and implementation of an active
control system. The laboratory is based on a modern and relevant DSP platform
with the corresponding software development environment controlled remotely. In
addition, it may be utilized remotely both for lab assignments in acoustics
courses and digital signal processing courses