Fraunhofer Chalmers Research Centre for Industrial Mathematics
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Värdeskapande utveckling av Hjällbo torg - En studie om framgångsfaktorer för utveckling av torg i miljonprogramsområden
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How to Evaluate One’s Performance While Improving Others’ - A Customer Satisfaction Measurement System
No full textIn today’s highly competitive market, the importance of satisfying customers has increased.
Measuring customer satisfaction thus becomes essential, creating a possibility for companies
to act upon issues before they become larger problems causing a decrease in customer retention.
EFESO Consulting is a management consulting firm who has realized this, and they have
decided to establish a system making it possible to systematically map their customers’ current
satisfaction level.
The purpose of this master thesis is to develop a customer satisfaction measurement system
suitable for EFESO. By using a deductive approach, theory was compared with data collected
through nine interviews with EFESO employees and six interviews with their customers, to
serve as a base in the development of the customer satisfaction measurement system. Four
selected quality dimensions to measure customer satisfaction upon derived, namely Value for
Money, Working Methods, Service and Recommendation. The dimensions are defined by
parameters and metrics, serving as measurements during the data collection and being a part of
the customer satisfaction measurement system.
The suggested data collection process should consist of two meetings with the project buyer
and six questionnaires, taking different views and types of measurements into account. The data
should thereafter be compiled using a tool developed in Excel, which helps to visualize
collected information and calculating customer satisfaction scores for each dimension. The
score enables a comparison between the dimensions, both within the current project and
between different customer projects.
The developed customer satisfaction measurement system is based on the views of EFESO and
their needs. The system could serve as a guide for other organizations in their development of
a customer satisfaction measurement system, letting the underlying idea serve as a starting point
while selected measurements might need to be adopted according to organizational needs
Deep Learning for Fashion Analysis
No full textUsing semantic segmentation algorithms to automatically classify each pixel of an
image, could imply great benefits for the fashion industry but also for the use of
society. Semantic segmentation algorithms can for example be used within the
fashion industry by predicting trends on social media or by robots within health
care to help people get dressed. However, performance of semantic segmentation
algorithms are dependent on a large amount of annotated training data. The fashion
industry in particular, is an area where machine learning algorithms are not as
well developed as in many other fields, and the amount of training data is thus
limited. Therefore, the purpose of this thesis was to investigate if it is possible to
use deep learning for generative modeling to increase the amount of training data
in the fashion domain. The results showed that it is possible to use generative
adversarial networks (GANs) to generate pairs of images and corresponding pixel
wise annotations
Rotationer, spinorer och spinn
No full textA central concept in quantum mechanics is spin. Certain quantum systems have the property
that, at a full rotation, the system has not been reset, but is in the opposite configuration
relative to the starting position. It is previously known that spin is hard to visualize. In
this paper we have for this reason created a computer animation to show how spin arises and
how it behaves. We have used the programming language MATLAB to do this. To be able to
understand this animation it is necessary to have a basic understanding of spin. A central part
of this paper will therefore consist of a review of the mathematical theory behind spin. We
start by explaning the mathematical concepts of exterior algebra and Clifford algebra. Then
we introduce quaternions and explain their connections to spin. Furthermore we explain the
mathematical concepts of spinors and spinor space to describe spin. Finally we end the paper
with explaining how the code is written and how it relates to spin
Feasibility of Probabilistic Submarining Prediction in Finite Element Occupant Model Simulations
No full textCurrent development trends in the automotive industry is heading towards Autonomous
Drive (AD) vehicles with novel occupant seating positions, one particular
position is reclined seating position. The new seating positions in the car may affect
the interaction between the occupant and the seatbelt. In a frontal crash, if the
pelvis of an occupant fails to engage properly with the lap-belt, Anterior Superior
Iliac Spine (ASIS) slides under the lap-belt and lap-belt loads the abdomen instead
of the pelvis bony structures, this is the undesirable event referred to as submarining.
To avoid submarining in novel reclined seating position is a key challenge for
future AD vehicles. The objective of this thesis was to develop submarining criteria.
This master thesis was split into two parts, namely Finite Element (FE) simulations
and statistical analysis. The objective of the FE simulations study was to evaluate
submarining indicators from the literature and ones developed by thesis student’s
engineering judgement. The study simulated two Anthropomorphic Test Devices
(Hybrid three 5th and Test Device for Human Occupant Restraint 50th percentile)
and one Human Body Model (Total HUman Model for Safety 50th percentile) in
three different seating configurations (upright, intermediate reclined and reclined)
for three different frontal crash pulses (full frontal rigid barrier and two oblique
pulses) using a sled setup to generate submarining and non-submarining data. The
full frontal rigid barrier pulse is based on a car’s response in a staged full scale crash
test where the car impacts the rigid wall at 56 km/h and the oblique pulses are based
on the struck car being impacted by a 2500 kg moving deformable barrier at 90 km/h
having a partial overlap from the driver side and passenger side inclined at 15 and
-15 along Z-axis respectively. Several submarining indicators were evaluated for the
simulated occupant models and the following were found to indicate submarining:
ASIS lever arm, ASIS to belt X distance, ASIS X forces and relative angle between
lap-belt and pelvis. The results from the FE simulations study were further analysed
using statistical analysis using logistic regression. The objective of the statistical
analysis was to find an optimal predictor in relation to submarining and to develop
a methodology to derive probability curve for submarining which could be further
expanded. The most optimal predictor was identified from the smallest value of the
Akaike’s Information Criterion and model performance was decided based on the
area under the Receiver Operating Characteristics curve. The most optimal predictors
were identified as ASIS lever arm and minimum ASIS to belt X distance. The
thesis demonstrated that a probabilistic prediction of submarining is feasible, based
on analysis of occupant model FE simulation data
