University Image vs. University Identity: Congruence between Expectations and Experience

The aim of this thesis was to examine congruencies between university identity and university images of prospective and current students. Therefore, factors essentially influencing on expected and experienced university images were identified. Providing an understanding on the differences in the formation of both concepts allowed the analysis of potential incongruities between a university’s identity and the perceptions its students hold. The study was conducted in July and August 2013 at Lappeenranta University of Technology by means of a web-based research survey. The sample consisted of 160 international Master’s degree students who were admitted in 2011, 2012 and 2013. Descriptive and multivariate statistical analysis methods were used to process the data. The results of the study indicated statistically significant incongruities between the case university’s identity and its students’ images. Further, the expected and experienced university images showed incongruities to each other. Deviations were additionally detected to be dependent on the students’ home regions. All in all, there is potential for an improvement of the students’ experiences resulting from a low perception of the student’s preparation for future job life.

Local Features in Image and Video Processing - Object Class Matching and Video Shot Detection

The usage of digital content, such as video clips and images, has increased dramatically during the last decade. Local image features have been applied increasingly in various image and video retrieval applications. This thesis evaluates local features and applies them to image and video processing tasks. The results of the study show that 1) the performance of different local feature detector and descriptor methods vary significantly in object class matching, 2) local features can be applied in image alignment with superior results against the state-of-the-art, 3) the local feature based shot boundary detection method produces promising results, and 4) the local feature based hierarchical video summarization method shows promising new new research direction. In conclusion, this thesis presents the local features as a powerful tool in many applications and the imminent future work should concentrate on improving the quality of the local features.

European luxury brands made in China: the effect of low-cost country manufacturing on brand image and purchase decisions

European luxury brands have an image of manufacturing their products in the same country where the brands originate. However, in the past years many luxury brands have shifted their manufacturing to countries outside Europe. China is now a common manufacturing country for European luxury brands despite the country’s poor image as a manufacturer. Chinese manufacturing is often associated with bad quality, bad labour conditions, mass production, and counterfeits. The image of China does not quite match the image luxury brands enjoy including characteristics such as high end quality, craftsmanship, details, design, or premium price. A negatively perceived country-of-manufacture may have an effect on a brand’s image and consumers’ purchase decisions. This thesis is focused on European luxury brands manufacturing in China, and how this effects the brand image and purchase decisions among luxury consumers. The empirical part of this thesis is based on focus group research, which is a popular method in the field of qualitative research. The main focus group is female luxury consumers in Finland. This main group has been divided into three categories: 1) the university students, 2) the young career women, 3) the experienced luxury consumers. This categorization has been done based on their different stages in luxury consumption. All in all, the empirical research consisted of 11 interviews and 29 participants. The main contribution of this thesis was that there is a difference between the opinions of the younger groups (university students and young career women) and the experienced luxury consumers when discussing the effect of country-of-manufacture on brand image and purchase decisions of luxury brands. The younger participants thought that manufacturing luxury products in China might affect the brand image, but their purchase decisions would not be that much affected by the country-of-origin. The experienced luxury consumers had quite a different view on the country-of-origin of luxury brands – they found it an important decisive factor prior making purchases. The majority of experienced luxury consumers would not buy luxury products made in China, and they would always check where these products are made in.

Model-Based Tracking Initialization in Ship Building Environment

An augmented reality (AR) device must know observer’s location and orientation, i.e. observer’s pose, to be able to correctly register the virtual content to observer’s view. One possible way to determine and continuously follow-up the pose is model-based visual tracking. It supposes that a 3D model of the surroundings is known and that there is a video camera that is fixed to the device. The pose is tracked by comparing the video camera image to the model. Each new pose estimate is usually based on the previous estimate. However, the first estimate must be found out without a prior estimate, i.e. the tracking must be initialized, which in practice means that some model features must be identified from the image and matched to model features. This is known in literature as model-to-image registration problem or simultaneous pose and correspondence problem. This report reviews visual tracking initialization methods that are suitable for visual tracking in ship building environment when the ship CAD model is available. The environment is complex, which makes the initialization non-trivial. The report has been done as part of MARIN project.

The neural processes generating visual phenomenal consciousness: ERP and neuronavigated brain stimulation studies

One of the greatest conundrums to the contemporary science is the relation between consciousness and brain activity, and one of the specifi c questions is how neural activity can generate vivid subjective experiences. Studies focusing on visual consciousness have become essential in solving the empirical questions of consciousness. Th e main aim of this thesis is to clarify the relation between visual consciousness and the neural and electrophysiological processes of the brain. By applying electroencephalography and functional magnetic resonance image-guided transcranial magnetic stimulation (TMS), we investigated the links between conscious perception and attention, the temporal evolution of visual consciousness during stimulus processing, the causal roles of primary visual cortex (V1), visual area 2 (V2) and lateral occipital cortex (LO) in the generation of visual consciousness and also the methodological issues concerning the accuracy of targeting TMS to V1. Th e results showed that the fi rst eff ects of visual consciousness on electrophysiological responses (about 140 ms aft er the stimulus-onset) appeared earlier than the eff ects of selective attention, and also in the unattended condition, suggesting that visual consciousness and selective attention are two independent phenomena which have distinct underlying neural mechanisms. In addition, while it is well known that V1 is necessary for visual awareness, the results of the present thesis suggest that also the abutting visual area V2 is a prerequisite for conscious perception. In our studies, the activation in V2 was necessary for the conscious perception of change in contrast for a shorter period of time than in the case of more detailed conscious perception. We also found that TMS in LO suppressed the conscious perception of object shape when TMS was delivered in two distinct time windows, the latter corresponding with the timing of the ERPs related to the conscious perception of coherent object shape. Th e result supports the view that LO is crucial in conscious perception of object coherency and is likely to be directly involved in the generation of visual consciousness. Furthermore, we found that visual sensations, or phosphenes, elicited by the TMS of V1 were brighter than identically induced phosphenes arising from V2. Th ese fi ndings demonstrate that V1 contributes more to the generation of the sensation of brightness than does V2. Th e results also suggest that top-down activation from V2 to V1 is probably associated with phosphene generation. The results of the methodological study imply that when a commonly used landmark (2 cm above the inion) is used in targeting TMS to V1, the TMS-induced electric fi eld is likely to be highest in dorsal V2. When V1 was targeted according to the individual retinotopic data, the electric fi eld was highest in V1 only in half of the participants. Th is result suggests that if the objective is to study the role of V1 with TMS methodology, at least functional maps of V1 and V2 should be applied with computational model of the TMS-induced electric fi eld in V1 and V2. Finally, the results of this thesis imply that diff erent features of attention contribute diff erently to visual consciousness, and thus, the theoretical model which is built up of the relationship between visual consciousness and attention should acknowledge these diff erences. Future studies should also explore the possibility that visual consciousness consists of several processing stages, each of which have their distinct underlying neural mechanisms.

Combined selection in early generation testing of self-pollinated plants

Seven selection indexes based on the phenotypic value of the individual and the mean performance of its family were assessed for their application in breeding of self-pollinated plants. There is no clear superiority from one index to another although some show one or more negative aspects, such as favoring the selection of a top performing plant from an inferior family in detriment of an excellent plant from a superior family

Female pelvic floor disorders – outcome after mesh-augmented procedures and studies on vaginal connective tissue

Pelvic floor disorders, such as urinary incontinence (UI) and pelvic organ prolapse (POP), are common disorders in women. Because of the prolonged life expectancy the prevalence of UI and POP and the probability of ending up in surgery are increasing. However, the pathophysiology behind these disorders is still unsolved. The aim of this thesis is to study possible alterations in the connective tissue in the vaginal wall in patients with and without POP. The long-term outcome and complications of mid-urethral slings (MUS) and mesh-augmented POP surgery were studied in heterogenic patient populations. More elastin and a slight increase in immunostaining of type III and V collagens in tissue samples were obtained from patients with POP compared to controls in whom type I collagen was more prominent. The studies assessing the mesh-augmented procedures revealed good efficacy and high patient satisfaction after a long-term follow-up. Patients operated on because of mixed incontinence and with BMI >30 kg/m² reported significantly more urinary symptoms and a lower quality of life than the patients operated on because of stress urinary incontinence and the ones with BMI ≤30 kg/m². The objective outcome was equal between the groups. Mesh exposure through vaginal mucosa occurred in 23 % of the patients after POP surgery, most of these being asymptomatic. There are alterations in connective tissues in patients with POP. Mid-urethral sling procedures produced good long-term cure rates and patient satisfaction. As to the prolapse surgery, in spite of relatively high exposure rate, mesh-augmented procedure proved to be safe and effective method for the correction of POP.

Differential evolution based classification with pool of distances and aggregation operators

The objective of this thesis is to develop and generalize further the differential evolution based data classification method. For many years, evolutionary algorithms have been successfully applied to many classification tasks. Evolution algorithms are population based, stochastic search algorithms that mimic natural selection and genetics. Differential evolution is an evolutionary algorithm that has gained popularity because of its simplicity and good observed performance. In this thesis a differential evolution classifier with pool of distances is proposed, demonstrated and initially evaluated. The differential evolution classifier is a nearest prototype vector based classifier that applies a global optimization algorithm, differential evolution, to determine the optimal values for all free parameters of the classifier model during the training phase of the classifier. The differential evolution classifier applies the individually optimized distance measure for each new data set to be classified is generalized to cover a pool of distances. Instead of optimizing a single distance measure for the given data set, the selection of the optimal distance measure from a predefined pool of alternative measures is attempted systematically and automatically. Furthermore, instead of only selecting the optimal distance measure from a set of alternatives, an attempt is made to optimize the values of the possible control parameters related with the selected distance measure. Specifically, a pool of alternative distance measures is first created and then the differential evolution algorithm is applied to select the optimal distance measure that yields the highest classification accuracy with the current data. After determining the optimal distance measures for the given data set together with their optimal parameters, all determined distance measures are aggregated to form a single total distance measure. The total distance measure is applied to the final classification decisions. The actual classification process is still based on the nearest prototype vector principle; a sample belongs to the class represented by the nearest prototype vector when measured with the optimized total distance measure. During the training process the differential evolution algorithm determines the optimal class vectors, selects optimal distance metrics, and determines the optimal values for the free parameters of each selected distance measure. The results obtained with the above method confirm that the choice of distance measure is one of the most crucial factors for obtaining higher classification accuracy. The results also demonstrate that it is possible to build a classifier that is able to select the optimal distance measure for the given data set automatically and systematically. After finding optimal distance measures together with optimal parameters from the particular distance measure results are then aggregated to form a total distance, which will be used to form the deviation between the class vectors and samples and thus classify the samples. This thesis also discusses two types of aggregation operators, namely, ordered weighted averaging (OWA) based multi-distances and generalized ordered weighted averaging (GOWA). These aggregation operators were applied in this work to the aggregation of the normalized distance values. The results demonstrate that a proper combination of aggregation operator and weight generation scheme play an important role in obtaining good classification accuracy. The main outcomes of the work are the six new generalized versions of previous method called differential evolution classifier. All these DE classifier demonstrated good results in the classification tasks.

Rekrytointimarkkinointi Y-sukupolvelle, miten tavoitamme parhaat osaajat? Case IBM Finland OY

Pro Gradu- tutkimuksen keskeisin tavoite oli selvittää tehokkaimmat rekrytointimarkkinointikanavat ja tyylit Y-sukupolveen kohdistuen. Y-sukupolvi on isoin ja uusin sukupolvi, joka on siirtymässä työelämään. Tällä hetkellä teoreettinen pohja on vielä ohut liittyen y-sukupolven rekrytointiin ja työnantajamielikuvaan ja tämän tutkimuksen oli tarkoitus selvittää tätä tutkimusaukkoa. Tutkimus toteutettiin kvalitatiivisena case-tutkimuksena. Aineistonkeruutapana oli kysely. Kysely toteutettiin sähköpostilla lähetettävällä kyselyllä IBM Suomen nuorille harjoittelijoille ja työntekijöille. Kysely lähetettiin noin 150:lle työntekijälle. Tutkimustulokset osoittivat, että IBM Suomella ovat perusprosessit ja nykyisten harjoittelijoiden tyytyväisyys hyvällä tasolla. Kuitenkin tutkimuskyselyn kautta saatiin selville osa-alueita, joilla rekrytointimarkkinoinnin tehokkuutta voidaan lisätä ja hyväksikäyttää vieläkin paremmin. Tutkimustulosten perusteella Y-sukupolven arvot ja odotukset erosivat muista sukupolvista oletettua vähemmän.

A clinical gamma camera-based pinhole collimated system for high resolution small animal SPECT imaging

The main objective of the present study was to upgrade a clinical gamma camera to obtain high resolution tomographic images of small animal organs. The system is based on a clinical gamma camera to which we have adapted a special-purpose pinhole collimator and a device for positioning and rotating the target based on a computer-controlled step motor. We developed a software tool to reconstruct the target’s three-dimensional distribution of emission from a set of planar projections, based on the maximum likelihood algorithm. We present details on the hardware and software implementation. We imaged phantoms and heart and kidneys of rats. When using pinhole collimators, the spatial resolution and sensitivity of the imaging system depend on parameters such as the detector-to-collimator and detector-to-target distances and pinhole diameter. In this study, we reached an object voxel size of 0.6 mm and spatial resolution better than 2.4 and 1.7 mm full width at half maximum when 1.5- and 1.0-mm diameter pinholes were used, respectively. Appropriate sensitivity to study the target of interest was attained in both cases. Additionally, we show that as few as 12 projections are sufficient to attain good quality reconstructions, a result that implies a significant reduction of acquisition time and opens the possibility for radiotracer dynamic studies. In conclusion, a high resolution single photon emission computed tomography (SPECT) system was developed using a commercial clinical gamma camera, allowing the acquisition of detailed volumetric images of small animal organs. This type of system has important implications for research areas such as Cardiology, Neurology or Oncology.

Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system

Recent advances in Information and Communication Technology (ICT), especially those related to the Internet of Things (IoT), are facilitating smart regions. Among many services that a smart region can offer, remote health monitoring is a typical application of IoT paradigm. It offers the ability to continuously monitor and collect health-related data from a person, and transmit the data to a remote entity (for example, a healthcare service provider) for further processing and knowledge extraction. An IoT-based remote health monitoring system can be beneficial in rural areas belonging to the smart region where people have limited access to regular healthcare services. The same system can be beneficial in urban areas where hospitals can be overcrowded and where it may take substantial time to avail healthcare. However, this system may generate a large amount of data. In order to realize an efficient IoT-based remote health monitoring system, it is imperative to study the network communication needs of such a system; in particular the bandwidth requirements and the volume of generated data. The thesis studies a commercial product for remote health monitoring in Skellefteå, Sweden. Based on the results obtained via the commercial product, the thesis identified the key network-related requirements of a typical remote health monitoring system in terms of real-time event update, bandwidth requirements and data generation. Furthermore, the thesis has proposed an architecture called IReHMo - an IoT-based remote health monitoring architecture. This architecture allows users to incorporate several types of IoT devices to extend the sensing capabilities of the system. Using IReHMo, several IoT communication protocols such as HTTP, MQTT and CoAP has been evaluated and compared against each other. Results showed that CoAP is the most efficient protocol to transmit small size healthcare data to the remote servers. The combination of IReHMo and CoAP significantly reduced the required bandwidth as well as the volume of generated data (up to 56 percent) compared to the commercial product. Finally, the thesis conducted a scalability analysis, to determine the feasibility of deploying the combination of IReHMo and CoAP in large numbers in regions in north Sweden.

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.

ESL students' perceptions of web-based prewriting activities /

Although much research has explored computer mediated communication for its application in second language instruction, there still exists a need for empirical results from research to guide practitioners who wish to introduce web-based activities into their instruction. This study was undertaken to explore collaborative online task-based activities for the instruction of ESL academic writing. Nine ESL students in their midtwenties, enrolled at a community college in Ontario, engaged in two separate online prewriting activities in both a synchronous and an asynchronous environment. The students were interviewed in order to explore their perceptions of how the activities affected the generation and organization of ideas for academic essays. These interviews were triangulated with examples of the students' online writing, nonparticipatory observations of the students' interactions, and a discussion with the course instructor. The results of the study reveal that a small majority of students felt that brainstorming in writing with their peers in an asynchronous online discussion created a grammatical and lexical framework that supported idea generation and organization. The students did not feel that the synchronous chat activity was as successful. Although they felt that this activity also contributed to the generation of ideas, synchronous chat introduced a level of difficulty in communication that hindered the students' engagement in the task and failed to assist them with the organization of their ideas. The students also noted positive aspects of the web-based activities that were not related to prewriting tasks, for example, improved typing and word processing skills. Directions for future research could explore whether online prewriting activities can assist students in the creation of essays that are syntactically or lexically complex.