Automatic image-based identification of Saimaa ringed seals

The Saimaa ringed seal is one of the most endangered seals in the world. It is a symbol of Lake Saimaa and a lot of effort have been applied to save it. Traditional methods of seal monitoring include capturing the animals and installing sensors on their bodies. These invasive methods for identifying can be painful and affect the behavior of the animals. Automatic identification of seals using computer vision provides a more humane method for the monitoring. This Master's thesis focuses on automatic image-based identification of the Saimaa ringed seals. This consists of detection and segmentation of a seal in an image, analysis of its ring patterns, and identification of the detected seal based on the features of the ring patterns. The proposed algorithm is evaluated with a dataset of 131 individual seals. Based on the experiments with 363 images, 81\% of the images were successfully segmented automatically. Furthermore, a new approach for interactive identification of Saimaa ringed seals is proposed. The results of this research are a starting point for future research in the topic of seal photo-identification.

Cost Reduction of Permanent Magnet Synchronous Machines

Electrical machine drives are the most electrical energy-consuming systems worldwide. The largest proportion of drives is found in industrial applications. There are, however many other applications that are also based on the use of electrical machines, because they have a relatively high efficiency, a low noise level, and do not produce local pollution. Electrical machines can be classified into several categories. One of the most commonly used electrical machine types (especially in the industry) is induction motors, also known as asynchronous machines. They have a mature production process and a robust rotor construction. However, in the world pursuing higher energy efficiency with reasonable investments not every application receives the advantage of using this type of motor drives. The main drawback of induction motors is the fact that they need slipcaused and thus loss-generating current in the rotor, and additional stator current for magnetic field production along with the torque-producing current. This can reduce the electric motor drive efficiency, especially in low-speed, low-power applications. Often, when high torque density is required together with low losses, it is desirable to apply permanent magnet technology, because in this case there is no need to use current to produce the basic excitation of the machine. This promotes the effectiveness of copper use in the stator, and further, there is no rotor current in these machines. Again, if permanent magnets with a high remanent flux density are used, the air gap flux density can be higher than in conventional induction motors. These advantages have raised the popularity of PMSMs in some challenging applications, such as hybrid electric vehicles (HEV), wind turbines, and home appliances. Usually, a correctly designed PMSM has a higher efficiency and consequently lower losses than its induction machine counterparts. Therefore, the use of these electrical machines reduces the energy consumption of the whole system to some extent, which can provide good motivation to apply permanent magnet technology to electrical machines. However, the cost of high performance rare earth permanent magnets in these machines may not be affordable in many industrial applications, because the tight competition between the manufacturers dictates the rules of low-cost and highly robust solutions, where asynchronous machines seem to be more feasible at the moment. Two main electromagnetic components of an electrical machine are the stator and the rotor. In the case of a conventional radial flux PMSM, the stator contains magnetic circuit lamination and stator winding, and the rotor consists of rotor steel (laminated or solid) and permanent magnets. The lamination itself does not significantly influence the total cost of the machine, even though it can considerably increase the construction complexity, as it requires a special assembly arrangement. However, thin metal sheet processing methods are very effective and economically feasible. Therefore, the cost of the machine is mainly affected by the stator winding and the permanent magnets. The work proposed in this doctoral dissertation comprises a description and analysis of two approaches of PMSM cost reduction: one on the rotor side and the other on the stator side. The first approach on the rotor side includes the use of low-cost and abundant ferrite magnets together with a tooth-coil winding topology and an outer rotor construction. The second approach on the stator side exploits the use of a modular stator structure instead of a monolithic one. PMSMs with the proposed structures were thoroughly analysed by finite element method based tools (FEM). It was found out that by implementing the described principles, some favourable characteristics of the machine (mainly concerning the machine size) will inevitable be compromised. However, the main target of the proposed approaches is not to compete with conventional rare earth PMSMs, but to reduce the price at which they can be implemented in industrial applications, keeping their dimensions at the same level or lower than those of a typical electrical machine used in the industry at the moment. The measurement results of the prototypes show that the main performance characteristics of these machines are at an acceptable level. It is shown that with certain specific actions it is possible to achieve a desirable efficiency level of the machine with the proposed cost reduction methods.

Variance reduction properties of dynamic hedging models - empirical evidence from BRICS countries

This Master’s Thesis analyses the effectiveness of different hedging models on BRICS (Brazil, Russia, India, China, and South Africa) countries. Hedging performance is examined by comparing two different dynamic hedging models to conventional OLS regression based model. The dynamic hedging models being employed are Constant Conditional Correlation (CCC) GARCH(1,1) and Dynamic Conditional Correlation (DCC) GARCH(1,1) with Student’s t-distribution. In order to capture the period of both Great Moderation and the latest financial crisis, the sample period extends from 2003 to 2014. To determine whether dynamic models outperform the conventional one, the reduction of portfolio variance for in-sample data with contemporaneous hedge ratios is first determined and then the holding period of the portfolios is extended to one and two days. In addition, the accuracy of hedge ratio forecasts is examined on the basis of out-of-sample variance reduction. The results are mixed and suggest that dynamic hedging models may not provide enough benefits to justify harder estimation and daily portfolio adjustment. In this sense, the results are consistent with the existing literature.

Formation of the Employer Brand Image

The purpose of this study was to explore the employer brand image and its formation of a Finnish (yet international) service company in B2B sector. In the research qualitative case study method was used to explore the most preferred attributes in employer attraction, the employer brand perceptions towards the case company, and the effectors behind these brand perceptions among the prospective group of employees. The research was conducted through in-depth semistructured interviews among 23-30 undergraduate or graduate business students in Finnish universities close to their graduation. After deriving the attributes of an attractive employer, and exploring their relation to the case company, the employer brand image of the case company was determined and its attractiveness level evaluated. Moreover, the formation of the employer brand image was investigated and its sources detected. The most important factors for the target group in employer attractiveness were found to be company reputation and company culture/work atmosphere. Also career opportunities and international opportunities were seen important. The case company was found to hold a positive, attractive image on company culture and international opportunities, but failing to hold a good reputation as a fair employer. The main and most impactful source of employer brand image was former and current employees - directly or indirectly. Company’s own actions played only small part in employer brand formation as credibility is a critical factor in brand image formation and corporate communication found not to be perceived genuine. Based on the findings, suggestions for further employer branding were made.

Internal Employer Brand: The factors affecting the formation of internal employer image

The purpose of this study is to identify the factors affecting the formation of employer image and attractiveness in the minds of an organization’s employees. Six employees from different backgrounds and business units within a larger organization are interviewed, and the results are compared in order to better understand the effect divergent variables have on the resulting factors. The theoretical background of the research is based on the study of the concept of employer branding, an organization’s effort in affecting the employer image it projects and attractiveness perceived by the employees and applicants. The results of the study reveal how immaterial factors, primarily related to self-actualization and social relationships, often took precedence over material ones, so long as the material factors, such as salary and work equipment, were at least on a minimum level acceptable to the employee. As such, focusing on these immaterial factors when forming an employer brand strategy is expected to yield larger benefits in form of employer attractiveness.

Commercial blog communication and brand image

The aim of this thesis was to examine whether company initiated commercial communication in personal blogs has an effect on consumers’ brand image. A detailed picture of the main topics was built based on the previous academic literature. The study explores how sponsored and company-initiated blog postings influence consumers’ brand image with a qualitative research. A framework defines the link between the main concepts of commercial blog communication and how this can be used in order to reach positive results in relation to consumers’ brand image. The findings of this study demonstrate that if the tech-savvy consumers consider that the commercial blog communication is genuine and the blogger stands behind the recommendation of the blog posting, it will result on a more positive brand image. However, if the consumers consider the content of the blog posting to be too controlled by the company, it is automatically seen as an advertisement instead of a recommendation by someone trustworthy. The company-controlled commercial blog communication without presenting the personality of the blogger has negative effects on brand image.

Corporate green image communication through public disclosures and social media

Today, companies need to mind the environment in all their actions. Policies, regulations and growing pressure from environmentally conscious public are driving corporations to invest increasingly in their green images. Communication plays a key role in forming and maintaining that image. This thesis explores how six selected companies communicate about their environmental efforts and activities, and its linkage to their green images, in annual and sustainability reports and in Facebook. The companies come from the U.S. and Europe and operate in three different industries: ICT, oil and gas, and aerospace & defense. Qualitative and quantitative content analyses are conducted to examine 36 reports and 121 Facebook messages, collected from the period of 2010-2014, and from 2005 for comparison. The results show that although the quality and quantity of environmental disclosure is increasing, there is still room for improvement. Overall, disclosure in the ICT sector is on the highest level. The European companies disclose more and on average have stronger green images than the American ones. Emissions and ways to reduce them is by far the most covered topic in both continents and in all three industry sectors. The messages in Facebook are closer to advertising, and overall the platform is utilized surprisingly little.