Local Embeddedness and Knowledge Acquisition and How They Affect Finnish Business Operations in Russia

This pilot project aims examine the factors of the Finnish subsidiaries local embeddedness, their knowledge creation capabilities and the transfer mechanisms of new practices in the context of the Russian market. The research is designed as a multiple case study conducted with a qualitative approach. The empirical data consists of the interviews of the four Finnish case companies operating in the Kaluga region and three local partner companies. The deductive and inductive approaches were employed to conduct the analysis of the data. The propositions for the future study were developed in the conclusive chapters of the research, where we propose that the factor of the economy growth and industrialization matters in terms of subsidiaries’ role dedication, their knowledge creation capabilities, and direction of the knowledge flow within the local environment.

Selvitys kapasitiivisten paikanmittausanturien ominaisuuksista ja suunnitteluvaatimuksista

Kapasitiivinen mittaustekniikka perustuu anturin ja kohteen välisen kapasitanssin muutok-seen: kun kapasitanssi muuttuu, muuttuu myös anturin impedanssi. Tätä yhteyttä hyödyn-tämällä voidaan tuottaa mittaussignaali muuttuvasta parametrista. Tässä työssä esitellään lyhyesti pienen välimatkan tarkkaan paikanmittaukseen käytettäviä tekniikoita ja selvitetään kapasitiivisten paikanmittausanturien perusominaisuuksia sekä käytännön toteutukseen vaadittavia asioita lähdemateriaalin ja simuloinnin avulla. Lisäksi tämän hetken kaupallisia eri tekniikoihin perustuvia mittausjärjestelmiä vertaillaan keskenään. Vertailun perusteella kapasitiiviset mittausjärjestelmät tarjoavat korkeimman mittaustark-kuuden lyhyellä mittausalueella, kun mittausympäristö ja kohde on kapasitiiviselle anturille soveltuva. Induktiiviset anturit tarjoavat suuremman mittauskaistanleveyden ja soveltuvat kapasitiivisia antureita paremmin likaisiin ympäristöihin. Optiset järjestelmät mahdollistavat puolestaan suuremman mittausalueen.

Simulation of Active Control Using Fuzzy Logic Applied to a Pulse Combustor

This work analyzes an active fuzzy logic control system in a Rijke type pulse combustor. During the system development, a study of the existing types of control for pulse combustion was carried out and a simulation model was implemented to be used with the package Matlab and Simulink. Blocks which were not available in the simulator library were developed. A fuzzy controller was developed and its membership functions and inference rules were established. The obtained simulation showed that fuzzy logic is viable in the control of combustion instabilities. The obtained results indicated that the control system responded to pulses in an efficient and desirable way. It was verified that the system needed approximately 0.2 s to increase the tube internal pressure from 30 to 90 mbar, with an assumed total delay of 2 ms. The effects of delay variation were studied. Convergence was always obtained and general performance was not affected by the delay. The controller sends a pressure signal in phase with the Rijke tube internal pressure signal, through the speakers, when an increase the oscillations pressure amplitude is desired. On the other hand, when a decrease of the tube internal pressure amplitude is desired, the controller sends a signal 180º out of phase.

Probabilistic position and orientation estimation of rigid objects using an RGB-D sensor

The recent emergence of low-cost RGB-D sensors has brought new opportunities for robotics by providing affordable devices that can provide synchronized images with both color and depth information. In this thesis, recent work on pose estimation utilizing RGBD sensors is reviewed. Also, a pose recognition system for rigid objects using RGB-D data is implemented. The implementation uses half-edge primitives extracted from the RGB-D images for pose estimation. The system is based on the probabilistic object representation framework by Detry et al., which utilizes Nonparametric Belief Propagation for pose inference. Experiments are performed on household objects to evaluate the performance and robustness of the system.

Flexible multibody dynamics and intelligent control of a hydraulically driven hybrid redundant robot machine

The assembly and maintenance of the International Thermonuclear Experimental Reactor (ITER) vacuum vessel (VV) is highly challenging since the tasks performed by the robot involve welding, material handling, and machine cutting from inside the VV. The VV is made of stainless steel, which has poor machinability and tends to work harden very rapidly, and all the machining operations need to be carried out from inside of the ITER VV. A general industrial robot cannot be used due to its poor stiffness in the heavy duty machining process, and this will cause many problems, such as poor surface quality, tool damage, low accuracy. Therefore, one of the most suitable options should be a light weight mobile robot which is able to move around inside of the VV and perform different machining tasks by replacing different cutting tools. Reducing the mass of the robot manipulators offers many advantages: reduced material costs, reduced power consumption, the possibility of using smaller actuators, and a higher payload-to-robot weight ratio. Offsetting these advantages, the lighter weight robot is more flexible, which makes it more difficult to control. To achieve good machining surface quality, the tracking of the end effector must be accurate, and an accurate model for a more flexible robot must be constructed. This thesis studies the dynamics and control of a 10 degree-of-freedom (DOF) redundant hybrid robot (4-DOF serial mechanism and 6-DOF 6-UPS hexapod parallel mechanisms) hydraulically driven with flexible rods under the influence of machining forces. Firstly, the flexibility of the bodies is described using the floating frame of reference method (FFRF). A finite element model (FEM) provided the Craig-Bampton (CB) modes needed for the FFRF. A dynamic model of the system of six closed loop mechanisms was assembled using the constrained Lagrange equations and the Lagrange multiplier method. Subsequently, the reaction forces between the parallel and serial parts were used to study the dynamics of the serial robot. A PID control based on position predictions was implemented independently to control the hydraulic cylinders of the robot. Secondly, in machining, to achieve greater end effector trajectory tracking accuracy for surface quality, a robust control of the actuators for the flexible link has to be deduced. This thesis investigates the intelligent control of a hydraulically driven parallel robot part based on the dynamic model and two schemes of intelligent control for a hydraulically driven parallel mechanism based on the dynamic model: (1) a fuzzy-PID self-tuning controller composed of the conventional PID control and with fuzzy logic, and (2) adaptive neuro-fuzzy inference system-PID (ANFIS-PID) self-tuning of the gains of the PID controller, which are implemented independently to control each hydraulic cylinder of the parallel mechanism based on rod length predictions. The serial component of the hybrid robot can be analyzed using the equilibrium of reaction forces at the universal joint connections of the hexa-element. To achieve precise positional control of the end effector for maximum precision machining, the hydraulic cylinder should be controlled to hold the hexa-element. Thirdly, a finite element approach of multibody systems using the Special Euclidean group SE(3) framework is presented for a parallel mechanism with flexible piston rods under the influence of machining forces. The flexibility of the bodies is described using the nonlinear interpolation method with an exponential map. The equations of motion take the form of a differential algebraic equation on a Lie group, which is solved using a Lie group time integration scheme. The method relies on the local description of motions, so that it provides a singularity-free formulation, and no parameterization of the nodal variables needs to be introduced. The flexible slider constraint is formulated using a Lie group and used for modeling a flexible rod sliding inside a cylinder. The dynamic model of the system of six closed loop mechanisms was assembled using Hamilton’s principle and the Lagrange multiplier method. A linearized hydraulic control system based on rod length predictions was implemented independently to control the hydraulic cylinders. Consequently, the results of the simulations demonstrating the behavior of the robot machine are presented for each case study. In conclusion, this thesis studies the dynamic analysis of a special hybrid (serialparallel) robot for the above-mentioned special task involving the ITER and investigates different control algorithms that can significantly improve machining performance. These analyses and results provide valuable insight into the design and control of the parallel robot with flexible rods.

Customer value assessment in business markets

Understanding how firms create, communicate, and deliver value to customers is a key factor when firms seek to differentiate in increasingly competitive and commoditized business markets. As product and price have become less important differentiators in many industries, suppliers are increasingly seeking ways to differentiate themselves based on delivered customer value. Therefore, to gain a holistic understanding on what their offerings are worth to the customer, suppliers need to conduct customer value assessment, which quantifies the impact of a supplier´s offering to customers’ costs and returns. However, from a managerial perspective, customer value assessment is the single most critical challenge for firms in business markets. Consequently, developing holistic frameworks for customer value assessment is seen as one of the most important research priorities for marketing research. The purpose of this study is to explore the process of customer value assessment in business markets. Business markets represent a context where an increasing number of industrial firms are transitioning from basic product offerings towards service-based and solution-oriented hybrid offerings, which emphasize value co-creation and realization in the long term, thus making it difficult to quantify their monetary value. This study employs exploratory and qualitative research design by applying inductive and discovery-oriented grounded theory and multiple case research methods. The empirical data comprise interviews with 61 managers from 12 industrial firms, including seven best practice firms in customer value assessment. The findings of this study show that customer value assessment is essentially a crossfunctional process, which involves several organizational functions. The process begins well before and continues long after the actual delivery, often until the end of a supplier´s offering’s life-cycle. Furthermore, the findings shed light on alternative strategies that firms in business markets can adopt to implement the customer value assessment process. Overall, the findings contribute to customer value research, the sales and organizational management literature, the service marketing and solutions business literature, and suggest several managerial implications on how firms in business markets can adopt a holistic approach to assess value created for customers.

Emotional intelligence and multicultural project leadership in Finnish-Chinese MNC context

The main goal of this thesis was to examine how the emotional intelligence skills and multicultural project leadership style of a project manager interrelate and affect the success of a project. The research methods used are literature review in theoretical part of the thesis and semi-structured interviews in empirical part of the thesis. This study is a single case study i.e. one case company was selected to be the secondary level of analysis. Within the case company, four project managers were selected as research units to form the primary level of analysis. Literature review formed the basis for the empirical research and the interview questions were derived from the literature. Findings from the interviews were mirrored against the literature review findings, based on which both conclusions and generalisations could be made. Thus, both deductive and inductive methods were utilised to get more complete picture about the research topic. In the first part of the literature review the general leadership theories and the project leadership terminology are introduced as a background for the concept of emotional intelligence and the integrated leadership model. Emotional intelligence and its interrelation to different leadership concepts are discussed during the literature review. Chinese cultural aspects affecting the way of making business, and the multicultural leadership styles of the Finnish project managers are introduced in the following part of the literature review. It was found that the most successfully used multicultural leadership styles in Finnish-Chinese context are synergistic and polycentric, and these require emotional intelligence skills. In the empirical part on this thesis the findings from the semi-structured interviews are introduced, discussed and analysed. Interviews were done in private meeting rooms, and they were recorded and transcripted to add reliability and validity. Although the sample was only four project managers, the results show that the sample is quite saturated as the responses to several questions followed the same pattern. It was found that Finnish project managers in the case company are democratic and take cultural differences into account in their project leadership. Both synergistic and polycentric leadership styles are used with Chinese team members. Emotional intelligence capabilities and the emphasis of those differ a bit depending on the interviewee. Though, the results show that EI skills and the multicultural project leadership style used in Chinese context are interrelated. The findings from the literature review and the empirical research in this thesis are similar. Though, there is need for further research as the sample was small, and this thesis is a single case study. It is recommendable to make a multi-company study with larger sample of project managers. Also multi-industry perspective is recommendable for further research.

Potilaan tiedollinen yksityisyys heräämössä

Tutkielman tarkoituksena oli kuvata potilaan kokemuksia tiedollisesta yksityisyydestään sekä tiedollista yksityisyyttä edistäviä ja estäviä tekijöitä heräämössä. Tämän tiedon pohjalta on mahdollista kehittää heräämön hoitotyötä potilaiden tiedollisen yksityisyyden osalta. Tutkimus toteutettiin kuvailevana haastattelututkimuksena. Aineisto kerättiin puolistrukturoidun teemahaastattelun avulla. Tutkimuksessa haastateltiin yhden suomalaisen yliopistosairaalan korva-, nenä- ja kurkkutautien (KNK) klinikan heräämössä hoidettuja aikuispotilaita 1-2 tunnin kuluessa heräämöhoidon päättymisestä. Haastatteluaineisto koostui 17:stä päiväkirurgisen – tai vuodeosastopotilaan haastattelusta. Tallennetut haastattelut litteroitiin ja aineisto analysoitiin induktiivisella sisällönanalyysillä. Potilaat kuvasivat tiedollista yksityisyyttä potilaan tietojen hallintana: potilaan tietojen luottamuksellisena käsittelynä ja oikeutena omiin tietoihin. Tiedollista yksityisyyttä pidettiin tärkeänä, mutta potilaat eivät olleet erityisen huolissaan tämän toteutumisesta heräämössä. Tiedollinen yksityisyys toteutui potilaiden mielestä melko hyvin heräämössä lukuun ottamatta tilanteita, joissa henkilökunta vaihtoi suullisesti tietoja potilaasta keskenään. Suurin osa potilaista totesi KNK-vaivojen olevan niin neutraaleja, ettei niiden joutuminen ulkopuolisten tietoon ollut heistä merkityksellistä. Tieto leikkauksesta kiinnosti potilaita ja he olivat tyytyväisiä saatuaan siitä tietoa heräämössä. Tiedollisen yksityisyyden toteutumista edistivät potilaan uppoutuminen omaan maailmaansa, mahdollisuus kontrolloida ja saada tietoa asioistaan, kahdenkeskinen vuorovaikutus, tieto tiedollisesta yksityisyydestä, heräämön tilajärjestelyt ja tiedollista yksityisyyttä koskevien sääntöjen noudattaminen. Muiden potilaiden uteliaisuus, potilaan kyvyttömyys suojata omia tietojaan ja ulkopuolisuus omissa asioissaan, kahdenkeskeisen vuorovaikutuksen mahdottomuus, yksityisen tilan puute ja tiedollista yksityisyyttä koskevan sääntelyn noudattamattomuus koettiin tietojen luottamuksellisen käsittelyn esteiksi heräämössä. Potilaiden tietojen luottamuksellista käsittelyä voitaisiin parantaa kiinnittämällä huomiota raportointimenetelmiin ja -paikkaan heräämössä. Käytettävissä olevia keinoja, kuten sermejä ja potilaiden sijoittelu heräämössä, kannattaa käyttää hyödyksi potilaan tiedollisen yksityisyyden suojaamiseksi. Tiedollisen yksityisyyden määritelmää tulisi jatkossa täsmentää käsiteanalyysin avulla. Lisäksi tiedollista yksityisyyttä olisi hyvä tutkia hoitotyön ympäristöissä, joissa potilaiden hoitoon liittyy mahdollisesti arkaluonteisempia tietoja kuin KNK- potilailla.

“Why share in uncertain conditions?” Factors of individual level knowledge sharing in offshoring cases

The objective of this Master’s Thesis was to research factors influencing and enhancing individual level knowledge sharing in offshore projects which often involve uncertainty of the knowledge provider’s own future. The purpose was to understand why individuals are willing to share their knowledge under these kinds of circumstances. In addition the goal was to identify obstacles to interpersonal knowledge sharing in order to understand how to mitigate their influence. The research was conducted as a qualitative multiple case study in a global IT company, and the data was gathered using semi-structured personal theme interviews within two different offshore projects. In order to a gain a wider perspective on the matter, some management representatives were interviewed as well. Data was analysed with the inductive content analysis method. Results of the study indicate that individuals are willing to share their knowledge despite of uncertainty if they are motivated, if they are provided with opportunities to do so, and if they have skills, competence and experience to share their knowledge. A strong knowledge sharing culture in the organization or team also works as a strong incentive for individual level knowledge sharing. The findings suggest that even under uncertain conditions it is possible to encourage people to share their knowledge if uncertainty can be decreased to a bearable level, a robust and personal connection and relationship between the knowledge provider and acquirer can be created and suitable opportunities for knowledge sharing are provided. In addition, based on the results the support and commitment of management and HR in addition to favourable environmental circumstances play an essential role in building a bridge between the knowledge provider and acquirer in order to create a virtual environment and space for knowledge sharing: Ba.

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

The estimation of tuberculosis transmission parameters using ABC and MCMC methods

The aim of this work is to apply approximate Bayesian computation in combination with Marcov chain Monte Carlo methods in order to estimate the parameters of tuberculosis transmission. The methods are applied to San Francisco data and the results are compared with the outcomes of previous works. Moreover, a methodological idea with the aim to reduce computational time is also described. Despite the fact that this approach is proved to work in an appropriate way, further analysis is needed to understand and test its behaviour in different cases. Some related suggestions to its further enhancement are described in the corresponding chapter.

Kallet til livets embete : mødre i helse og lidelse

Mothers represent the natural caring. Natural caring is the object of caring science and of research interest because it establishes the central core of professional caring. In this study, we encounter patients who are mothers in need of care in a psychiatric context. Motherhood involves taking responsibility that extends beyond one's own life, because the child represents possibilities in a yet unknown future. Understanding and knowledge about the mothers' struggle in health and suffering are of crucial importance to enable clinical practice to make provisions for and adapt to the individual patient. The overall purpose of this dissertation is to illuminate how the innermost essence of caring emerges in health and suffering in patients who are mothers in psychiatric care. The purpose of the study in a clinical sense is to seek to understand and illuminate the patient's inner world in health and suffering in terms of contextual, existential, ontological and ethical dimensions. The dissertation is exploratory and descriptive in nature and encompasses induction, deduction and abduction as logics tools of reasoning. A theoretical model of natural caring and a universal theoretical model of the innermost essence of caring is developed as seen from the patient's world in a psychiatric context. The dissertation is anchored in human science's view of the human being and the world and in caring science's perspective. Caring science's view of the human being as a unity comprising body, soul and spirit is central in the study's concept of the patient. This multi-dimensional conception of the human being encompasses the dissertation's basic values and is decisive for choice of methodology. Hermeneutic epistemology guided the interpretation of the empirical data, the paradigmatic theses and assumptions. The dialectical movement in interpretation moves back and forth between empirical data, caring science theory and philosophical theory and reveals deeper insight into meaningful content in the clinical context. The interpretation process comprises four levels of abstraction: rational, contextual, existential and ontological. Hermeneutic philosophy guides the inductive and deductive approach to interpretation, as well as the movement between the clinical context and the caring science paradigm. In this encounter between the visible and invisible reality, the image of natural caring – motherliness emerged. The dissertation consists of four studies. The first study is a systematic review of nineteen research articles. The three other studies are hermeneutical interpretations based on text materials from open interviews. Fifteen participants were interviewed, all of whom are mothers of children between 0 and 18 years of age. All were outpatients in the psychiatric specialist health service. In the interpretation process, the mothers' struggle in health and suffering emerges as a struggle between the inner and outer world. Being a mother and patient in health and suffering in a psychiatric context means to struggle to be oneself, to create oneself, to live and realize one's good deeds as a mother and human being. To be oneself, to possess oneself as a mother is not only a question of tending, playing and learning in order to master a practical situation or to survive. It involves constituting a deep, inner desire to courageously create oneself so that the child is able to realize his or her potential in health and suffering. Motherliness manifests itself in caring as a call to ministering humanity and life. The voice of motherliness is understood as the voice of life—the eternal, inner call of love and freedom. The inner call craves fulfilment. Motherliness in natural caring does not retreat. Motherliness defines the Other as freedom and proceeds without regard for all other exterior requirements to realizing wellbeing. The inner essence of caring is attentive, aware and heeds the call of the heart. The innermost essence of caring is to be and to make oneself responsible for the Other. Responsibility cannot be relinquished; free choice consists in whether or not to follow the call. To renounce the inner call to responsibility is to deny oneself and one's dignity as a human being. The theoretical models provide clinical and systematic caring science with knowledge and understanding based on the natural caring spirit inherent in the human being. The study elucidates and strengthens the ontological basic assumptions about the human being as a unity of body, soul and spirit, the sanctity of the human being and the core of caring, ethos. The results of the dissertation will provide clinical practice with knowledge about the inner movements of the mothers' souls in relation to their responsibility as mothers and human beings. Being able to understand the basic conditions for responsibility is crucial for developing care that encompasses mother and child and the mutual relationship between them. This is basic knowledge for developing attitudes and actions that meet and provide for the needs of the patient as mother and as a whole, suffering human being.

Cell migration in the postnatal subventricular zone

New neurons are constantly added to the olfactory bulb of rodents from birth to adulthood. This accretion is not only dependent on sustained neurogenesis, but also on the migration of neuroblasts and immature neurons from the cortical and striatal subventricular zone (SVZ) to the olfactory bulb. Migration along this long tangential pathway, known as the rostral migratory stream (RMS), is in many ways opposite to the classical radial migration of immature neurons: it is faster, spans a longer distance, does not require radial glial guidance, and is not limited to postmitotic neurons. In recent years many molecules have been found to be expressed specifically in this pathway and to directly affect this migration. Soluble factors with inhibitory, attractive and inductive roles in migration have been described, as well as molecules mediating cell-to-cell and cell-substrate interactions. However, it is still unclear how the various molecules and cells interact to account for the special migratory behavior in the RMS. Here we will propose some candidate mechanisms for roles in initiating and stopping SVZ/RMS migration.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Assessment of tidal volume and thoracoabdominal motion using volume and flow-oriented incentive spirometers in healthy subjects

The objective of the present study was to evaluate incentive spirometers using volume- (Coach and Voldyne) and flow-oriented (Triflo II and Respirex) devices. Sixteen healthy subjects, 24 ± 4 years, 62 ± 12 kg, were studied. Respiratory variables were obtained by respiratory inductive plethysmography, with subjects in a semi-reclined position (45º). Tidal volume, respiratory frequency, minute ventilation, inspiratory duty cycle, mean inspiratory flow, and thoracoabdominal motion were measured. Statistical analysis was performed with Kolmogorov-Smirnov test, t-test and ANOVA. Comparison between the Coach and Voldyne devices showed that larger values of tidal volume (1035 ± 268 vs 947 ± 268 ml, P = 0.02) and minute ventilation (9.07 ± 3.61 vs 7.49 ± 2.58 l/min, P = 0.01) were reached with Voldyne, whereas no significant differences in respiratory frequency were observed (7.85 ± 1.24 vs 8.57 ± 1.89 bpm). Comparison between flow-oriented devices showed larger values of inspiratory duty cycle and lower mean inspiratory flow with Triflo II (0.35 ± 0.05 vs 0.32 ± 0.05 ml/s, P = 0.00, and 531 ± 137 vs 606 ± 167 ml/s, P = 0.00, respectively). Abdominal motion was larger (P < 0.05) during the use of volume-oriented devices compared to flow-oriented devices (52 ± 11% for Coach and 50 ± 9% for Voldyne; 43 ± 13% for Triflo II and 44 ± 14% for Respirex). We observed that significantly higher tidal volume associated with low respiratory frequency was reached with Voldyne, and that there was a larger abdominal displacement with volume-oriented devices.