Aseistettujen UAV:iden käyttö Afganistanin sodassa

Nykyajan sodankäynnissä jatkuvan tilannekuvan ylläpitäminen, kaukovaikuttaminen ja täsmäiskut ovat nousseet tärkeisiin rooleihin. Perinteisten lentokoneiden rinnalle taistelukentille ovat tulleet miehittämättömät ilma-alukset, joiden käyttö on lisääntynyt valtavasti 2000-luvun puolella. Tutkimuksessa tarkastellaan Afganistanin sodassa käytettyjä miehittämättömiä ilma-aluksia ja niiden käyttöperiaatteita. Tutkielma on laadullinen eli kvalitatiivisin menetelmin tehty tutkimus, jonka menetelmät painottuvat asiakirja- ja tekstianalyysiin. Päätutkimuskysymyksenä on ”Mitä taktisia elementtejä UCAV tuo taisteluun?”. Tutkimuksessa esitellään UAV yleisesti sekä Afganistanin sodassa käytetyt mallit. Tutkielma jakautuu lukuihin, joista ensimmäisessä esitellään UAV:ta teknisesti ja toisessa luvussa tarkastellaan UAV:iden käyttöä Afganistanissa. Kolmannessa pääluvussa tarkastellaan UAV:iden etuja ja heikkouksia lentokoneisiin verrattuna. Johtopäätöksissä saadut tulokset tiivistetään vastauksiksi tutkimuskysymyksiin. Tutkielman ajankohtaisuutta korostaa UAV-operaatioiden lisääntyminen sodissa jatkuvasti ja niiden lentotuntimäärien huomattava kasvu verrattuna lentokoneisiin. Myös Suomen Puolustusvoimat on päättänyt hankkia lisää tiedusteluun sopivia kevyitä UAV:ita.

THE ROLE OF INFORMATION TECHNOLOGY IN CREATING SUSTAINABILITY VALUE FOR FINANCIAL INSTITUTIONS IN 2020 : a scenario planning approach

The growing importance of global sustainability issues has been causing many changes to the financial services industry. Facts such as climate change, social development and the financial crisis in 2008 have been making banks reconsider the manner that they consider environmental, social and economic factors in their decision-making process. At the same time, information technology (IT) has been transforming the financial service industry and its fast development has casted doubts on the way it should be managed within an organization. This current changing environment brings a number of uncertainties to the future that cannot be addressed using traditional forecasting techniques. This research investigates how IT can bring value to sustainability in the financial service industry in 2020. Through the use of a scenario planning technique, we analyzed how trends in the current environment (considering the relation between sustainability, financial institutions an IT) can lead to four different future scenarios. Then, we discussed how IT can improve a bank’s sustainability performance, considering the limitations of each scenario.

Imaging of Tumour Microenvironment for the Planning of Oncological Therapies Using Positron Emission Tomography

Tumour cells differ from normal tissue cells in several important ways. These differences, like for example changed energy metabolism, result in altered microenvironment of malignant tumours. Non-invasive imaging of tumour microenvironment has been at the centre of intense research recently due to the important role that this changed environement plays in the development of malignant tumours and due to the role it plays in the treatment of these tumours. In this respect, perhaps the most important characteristics of the tumour microenvironment from this point of view are the lack of oxygen or hypoxia and changes in blood flow (BF). The purpose of this thesis was to investigate the processes of energy metabolism, BF and oxygenation in head and neck cancer and pancreatic tumours and to explore the possibilities of improving the methods for their quantification using positron emission tomography (PET). To this end [18F]EF5, a new PET tracer for detection of tumour hypoxia was investigated. Favourable uptake properties of the tracer were observed. In addition, it was established that the uptake of this tracer does not correlate with the uptake of existing tracers for the imaging of energy metabolism and BF, so the information about the presence of tissue hypoxia cannot therefore be obtained using tracers such as [18F]FDG or [15O]H2O. These results were complemented by the results of the follow-up study in which it was shown that the uptake of [18F]EF5 in head and neck tumours prior to treatment is also associated with the overall survival of the patients, indicating that tumour hypoxia is a negative prognostic factor and might be associated with therapeutic resistance. The influences of energy metabolism and BF on the survival of patients with pancreatic cancer were investigated in the second study. The results indicate that the best predictor of survival of patients with pancreatic cancer is the relationship between energy metabolism and BF. These results suggest that the cells with high metabolic activity in a hypoperfused tissue have the most aggressive phenotype.

Päivystyshoitotyön osaaminen valmistuvien sairaanhoitajaopiskelijoiden arvioimana

Potilaan hoitamisessa korostuvat mm. triagen tekeminen, potilaan voinnin seuranta ja hoitoa koskevien päätösten tekeminen nopeasti potilaan voinnin mukaan sekä potilaan jatkohoidon turvaaminen. Tämä kaksivaiheinen koulutustutkimus kohdistui päivystyshoitotyön osaamiseen. Tutkimuksen ensimmäisessä vaiheessa määriteltiin päivystyshoitotyön osaaminen ja toisessa vaiheessa arvioitiin valmistuvien sairaanhoitajaopiskelijoiden päivystyshoitotyön osaamista ja osaamiseen yhteydessä olevia tekijöitä. Osaamisen arvioinnin suorittivat opiskelijat itse ja vertailuperustana opiskelijoiden päivystyshoitotyön osaamiselle käytettiin ammatissa toimivien sairaanhoitajien päivystyshoitotyön osaamista. Tutkimuksen tavoitteena oli arvioinnin perusteella määrittää päivystyshoitotyön osaamisen nykytaso ja tehdä tarvittavat ehdotukset päivystyshoitotyön osaamisen kehittämiseen. Tutkimuksen ensimmäisessä vaiheessa (2006–2012) tiedonkeruumenetelminä oli kirjallisuuskatsaus ja asiantuntija-arviointi hyödyntäen delphi-menetelmää. Kirjallisuuskatsauksen perusteella muodostettiin päivystyshoitotyön osaamista kuvaavat pääkategoriat, yläkategoriat ja alakategoriat.Alakategoriat (n=61) annettiin asiantuntijoille (sairaanhoitajat, opettajat, ylihoitajat) arvioitavaksi.Kaksivaiheisen asiantuntija-arvioinnin perusteella muodostui 92 päivystyshoitotyön osaamista kuvaavaa alakategoriaa. Tutkimuksen toisessa vaiheessa (2007–2012) valmistuvien suomalaisten sairaanhoitaja-opiskelijoiden (N=382, n=208, vastausprosentti 55 %) päivystyshoitotyön osaamista arvioitiin tätä tutkimusta varten kehitetyllä mittarilla (Päivystyshoitotyön osaaminen -mittari). Mittari perustui tutkimuksen ensimmäisessä vaiheessa muodostettuun määrittelyyn päivystyshoitotyön osaamisesta. Osaamista mitattiin VAS-janalla (asteikko 0–100) arvon 100 ollessa optimaalinen taso, johon pyrittiin. Sairaanhoitajaopiskelijoiden tavoiteltavaksi osaamisen tasoksi asetettiin 80 olettaen opiskelijoiden osaamisen vielä kehittyvän työkokemuksen myötä. Ammatissa toimivien sairaanhoitajien (N=586, n=280, vastausprosentti 48 %) itsearvioitua osaamista käytettiin vertailuperustana opiskelijoiden osaamiselle. Aineisto analysoitiin tilastollisin menetelmin. Valmistuvien sairaanhoitajaopiskelijoiden itsearvioitu päivystyshoitotyön osaaminen oli alle tavoiteltavan osaamisen tason. Opiskelijoilla oli mielestään eniten eettistä osaamista sekä vuorovaikutus- ja yhteistyöosaamista ja vähiten päätöksenteko-osaamista ja kliinistä osaamista. Myös ammatissa toimivilla sairaanhoitajilla oli mielestään eniten vuorovaikutus- ja yhteistyöosaamista. Vähiten heillä oli ohjausosaamista ja päätöksenteko-osaamista. Sairaanhoitajilla oli tilastollisesti merkitsevästi enemmän päivystyshoitotyön osaamista kuin opiskelijoilla. Opiskelijoiden päivystyshoitotyön osaamista selitti eniten aikaisempi terveysalan tutkinto. Päivystyshoitotyön osaamisen kehittämisehdotukset kohdistuvat ammatillisen peruskoulutuksen ja täydennyskoulutuksen opetuksen sisältöihin ja määrään, opetus- ja opiskelumenetelmiin, osaamisen arviointiin sekä urasuunnitteluun. Jatkotutkimusehdotukset kohdistuvat päivystyshoitotyön osaamisen määrittelyn ja osaamista arvioivan mittarin edelleen kehittämiseen, erilaisten arviointimenetelmien kehittämiseen sekä osaamiseen yhteydessä olevien tekijöiden edelleen tutkimiseen.

A Design Methodology for the Compensation of Positioning Deviation in Gantry Manipulators

This work presents recent results concerning a design methodology used to estimate the positioning deviation for a gantry (Cartesian) manipulator, related mainly to structural elastic deformation of components during operational conditions. The case-study manipulator is classified as gantry type and its basic dimensions are 1,53m x 0,97m x 1,38m. The dimensions used for the calculation of effective workspace due to end-effector path displacement are: 1m x 0,5m x 0,5m. The manipulator is composed by four basic modules defined as module X, module Y, module Z and terminal arm, where is connected the end-effector. Each module controlled axis performs a linear-parabolic positioning movement. The planning path algorithm has the maximum velocity and the total distance as input parameters for a given task. The acceleration and deceleration times are the same. Denavit-Hartemberg parameterization method is used in the manipulator kinematics model. The gantry manipulator can be modeled as four rigid bodies with three degrees-of-freedom in translational movements, connected as an open kinematics chain. Dynamic analysis were performed considering inertial parameters specification such as component mass, inertia and center of gravity position of each module. These parameters are essential for a correct manipulator dynamic modelling, due to multiple possibilities of motion and manipulation of objects with different masses. The dynamic analysis consists of a mathematical modelling of the static and dynamic interactions among the modules. The computation of the structural deformations uses the finite element method (FEM).

Profitability planning of the ski resort project

Objective of this master’s thesis is to create an investment calculation model, which makes it possible to determine if the ski resort business can be profitable. The ultimate goal is to create a description with the help of theoretical knowledge, interviews and investment calculation model, how the operation of ski resort is possible to be profitable and what are the critical success factors for achieving this goal. Thesis is carried out as qualitative research, which is supported by the necessary constructive information utilizing calculations. The client company has provided valuable insights and material for this thesis. Theoretical report examines the steps of developing a business plan, investment components and methods as well as sensitivity analysis. The theoretical part is based on the articles, textbooks, interviews and researches. The empirical part of the thesis is assembled by benchmarking other same size Finnish ski resorts, conducting interviews and using investment calculation model. The empirical part provides comprehensive information about ski resort industry, the future of the project, the business plan and the profitability calculations. As the result of this thesis the investment calculation model, which makes it possible to simulate different scenarios for ski resort project, was formed. The model was used to create a picture in which kind of scenario the ski resort business would be profitable and what are the critical success factors in achieving this aim.

Mini-UAV:n käyttö lentotukikohdan valvonnassa

Mini-UAV on miehittämätön pienoisilma-alus, joka tarjoaa käyttäjälleen mahdollisuuden reaaliaikaiseen tilannekuvaan, laajojen vastuualueiden valvontakykyyn ja iskun jälkeiseen tiedusteluun. Pienen kokonsa puolesta järjestelmä kulkee joukkojen mukana valvontatehtä-vällä ja se on helppo lähettää suorittamaan tehtävää laukaisukatapultilta tai kädestä. Mini-UAV:n modulaarinen rakenne mahdollistaa vaurioituneiden osien nopean huollon sekä pa-rantaa taistelunkestävyyttä. Sensorit luovat valvonta- ja tiedustelukyvyn rungon, sillä lennokki itsessään on vain lavetti, joka kuljettaa sensorit valvottavan kohteen ylle. Videokameralla varustetut päiväsensorit pystyvät havaitsemaan kohteen ja seuraamaan sitä reaaliajassa. Yösensoreissa käytettävät valonvahvistimet mahdollistavat operoinnin hämärällä ja yöaikana. Sensoreissa voidaan hyödyntää myös lämpökameraa, joka mahdollistaa kohteiden havaitsemisen peitteisestä maastosta. Lentotukikohdan toimintaympäristö luo laajuudellaan ja peitteisyydellään haasteita valvon-taa suorittaville toimijoille. Laajaa ja vaikeakulkuista aluetta ei pystytä valvomaan aukot-tomasti, vaan pyritään estämään vapaa kulku alueella. Erikoisjoukkouhka luo lentotukikoh-dalle haasteita, jotka tulee kiistää tehokkaalla valvonnalla. Lentotukikohdan kriittisten koh-teiden maalittamisen perusteella iskut toteutetaan ilmalavetin toimittamana asekuormana tai risteilyohjuksin. Toimintaympäristö luo haasteita mini-UAV:n toiminnalle. Peitteinen maasto hankaloittaa valvontaa ja mahdollistaa erikoisjoukkojen oman toiminnan salaamisen. Kesän ja talven ai-kana vallitsevat huonon lentosään olosuhteet rajoittavat lennokilla suoritettavaa tiedustelua. Iskun jälkeisessä tiedustelussa lennokki tarjoaa mahdollisuuden nopeaan tilannekuvan muodostamiseen. Tutkimuksen perusteella voidaan todeta mini-UAV:n olevan tehokas valvontatyökalu lento-tukikohdan valvontaa suorittaville toimijoille. Toimintaympäristön tuomat haasteet tulee ottaa huomioon valvonnan suunnittelussa ja organisoinnissa, jolloin heikkoudet voidaan minimoida.

Planning and implementation of entrepreneurial marketing processes in SMEs

Entrepreneurial marketing is newly established term and there is need for more specific studies in order to understand the concept fully. SMEs have entrepreneurial marketing elements more visible in their marketing and therefore provide more fruitful insights for this research. SMEs marketing has gained more recognition during the past years and in some cases innovative characteristics can be identified despite constraints such as lack of certain resources. The purpose of this research is to study entrepreneurial marketing characteristics and SME processes in order to wider understanding and gain more insights of entrepreneurial marketing. In addition, planning and implementation of entrepreneurial marketing processes is examined in order to gain full coverage of SMEs marketing activities. The research was conducted as a qualitative research and data gathering was based on semi-structured interview survey, which involved nine company interviews. Multiple case research was used to analyze data so that focus and clarity could be maintained in organized manner. Case companies were chosen from different business fields so that more variation and insights could be identified. The empirical results suggest that two examined processes networking and word-of-mouth communication are very important processes for case companies which supports the previous researches. However, the entrepreneurial marketing characteristics had variation some were more visible and recognizable than others. Examining more closely the processes companies did not fully understand that networking or word-of-mouth marketing could be used as efficiently as other conventional marketing methods.

Production planning and optimization of a pulp mill: introduction of the optimisation based scheduling software for pulp industry

The objective of this project was to introduce a new software product to pulp industry, a new market for case company. An optimization based scheduling tool has been developed to allow pulp operations to better control their production processes and improve both production efficiency and stability. Both the work here and earlier research indicates that there is a potential for savings around 1-5%. All the supporting data is available today coming from distributed control systems, data historians and other existing sources. The pulp mill model together with the scheduler, allows what-if analyses of the impacts and timely feasibility of various external actions such as planned maintenance of any particular mill operation. The visibility gained from the model proves also to be a real benefit. The aim is to satisfy demand and gain extra profit, while achieving the required customer service level. Research effort has been put both in understanding the minimum features needed to satisfy the scheduling requirements in the industry and the overall existence of the market. A qualitative study was constructed to both identify competitive situation and the requirements vs. gaps on the market. It becomes clear that there is no such system on the marketplace today and also that there is room to improve target market overall process efficiency through such planning tool. This thesis also provides better overall understanding of the different processes in this particular industry for the case company.

Strategic planning of major disturbance proof network

In the 2000’s Finland suffered from storms that caused long outages in electricity distribution, longest up to two weeks. These major disturbances increased the importance of supply security. In 2013 new Electricity Market Act was announced. It defined maximum duration for outages, 6 h for city plan areas and 36 h for other areas. The aim for this work is to determine required major disturbance proof level for a study area and find tools for prioritizing overhead lines for cabling renovation to improve supply security. Three prioritization methods were chosen to be studied: A: prioritization line sections by customer outage costs they cause, B: maximizing customers major disturbance proof network and C: minimizing excavation costs in medium voltage network. Profitability calculations showed that prioritization method A was the most profitable and C had the weakest profitability. The prioritization method C drove renovation into unreasonable locations in the study area in reliability point of view. Therefore universal rule prioritization methods couldn’t be made from the prioritization methods. This led to the conclusion that every renewing area need to be evaluated in a case by case basis.

Stiffness based trajectory planning and feedforward based vibration suppression control of parallel robot machines

The dissertation proposes two control strategies, which include the trajectory planning and vibration suppression, for a kinematic redundant serial-parallel robot machine, with the aim of attaining the satisfactory machining performance. For a given prescribed trajectory of the robot's end-effector in the Cartesian space, a set of trajectories in the robot's joint space are generated based on the best stiffness performance of the robot along the prescribed trajectory. To construct the required system-wide analytical stiffness model for the serial-parallel robot machine, a variant of the virtual joint method (VJM) is proposed in the dissertation. The modified method is an evolution of Gosselin's lumped model that can account for the deformations of a flexible link in more directions. The effectiveness of this VJM variant is validated by comparing the computed stiffness results of a flexible link with the those of a matrix structural analysis (MSA) method. The comparison shows that the numerical results from both methods on an individual flexible beam are almost identical, which, in some sense, provides mutual validation. The most prominent advantage of the presented VJM variant compared with the MSA method is that it can be applied in a flexible structure system with complicated kinematics formed in terms of flexible serial links and joints. Moreover, by combining the VJM variant and the virtual work principle, a systemwide analytical stiffness model can be easily obtained for mechanisms with both serial kinematics and parallel kinematics. In the dissertation, a system-wide stiffness model of a kinematic redundant serial-parallel robot machine is constructed based on integration of the VJM variant and the virtual work principle. Numerical results of its stiffness performance are reported. For a kinematic redundant robot, to generate a set of feasible joints' trajectories for a prescribed trajectory of its end-effector, its system-wide stiffness performance is taken as the constraint in the joints trajectory planning in the dissertation. For a prescribed location of the end-effector, the robot permits an infinite number of inverse solutions, which consequently yields infinite kinds of stiffness performance. Therefore, a differential evolution (DE) algorithm in which the positions of redundant joints in the kinematics are taken as input variables was employed to search for the best stiffness performance of the robot. Numerical results of the generated joint trajectories are given for a kinematic redundant serial-parallel robot machine, IWR (Intersector Welding/Cutting Robot), when a particular trajectory of its end-effector has been prescribed. The numerical results show that the joint trajectories generated based on the stiffness optimization are feasible for realization in the control system since they are acceptably smooth. The results imply that the stiffness performance of the robot machine deviates smoothly with respect to the kinematic configuration in the adjacent domain of its best stiffness performance. To suppress the vibration of the robot machine due to varying cutting force during the machining process, this dissertation proposed a feedforward control strategy, which is constructed based on the derived inverse dynamics model of target system. The effectiveness of applying such a feedforward control in the vibration suppression has been validated in a parallel manipulator in the software environment. The experimental study of such a feedforward control has also been included in the dissertation. The difficulties of modelling the actual system due to the unknown components in its dynamics is noticed. As a solution, a back propagation (BP) neural network is proposed for identification of the unknown components of the dynamics model of the target system. To train such a BP neural network, a modified Levenberg-Marquardt algorithm that can utilize an experimental input-output data set of the entire dynamic system is introduced in the dissertation. Validation of the BP neural network and the modified Levenberg- Marquardt algorithm is done, respectively, by a sinusoidal output approximation, a second order system parameters estimation, and a friction model estimation of a parallel manipulator, which represent three different application aspects of this method.

Simulation of the Interaction Mean Free Path between Neutrons and TRISO Particles

The interaction mean free path between neutrons and TRISO particles is simulated using scripts written in MATLAB to solve the increasing error present with an increase in the packing factor in the reactor physics code Serpent. Their movement is tracked both in an unbounded and in a bounded space. Their track is calculated, depending on the program, linearly directly using the position vectors of the neutrons and the surface equations of all the fuel particles; by dividing the space in multiple subspaces, each of which contain a fraction of the total number of particles, and choosing the particles from those subspaces through which the neutron passes through; or by choosing the particles that lie within an infinite cylinder formed on the movement axis of the neutron. The estimate from the current analytical model, based on an exponential distribution, for the mean free path, utilized by Serpent, is used as a reference result. The results from the implicit model in Serpent imply a too long mean free path with high packing factors. The received results support this observation by producing, with a packing factor of 17 %, approximately 2.46 % shorter mean free path compared to the reference model. This is supported by the packing factor experienced by the neutron, the simulation of which resulted in a 17.29 % packing factor. It was also observed that the neutrons leaving from the surfaces of the fuel particles, in contrast to those starting inside the moderator, do not follow the exponential distribution. The current model, as it is, is thus not valid in the determination of the free path lengths of the neutrons.

Management of Soft Information in Sales and Operations Planning

With a Sales and Operations Planning (S&OP) process, a company aims to manage the demand and supply by planning and forecasting. The studied company uses an integrated S&OP process to improve the company's operations. The aim of this thesis is to develop this business process by finding the best possible way to manage the soft information in S&OP, whilst also understanding the importance and types (assumptions, risks and opportunities) of soft information in S&OP. The soft information in S&OP helps to refine future S&OP planning, taking into account the uncertainties that affect the balance of the long-term demand and supply (typically 12-18 months). The literature review was used to create a framework for soft information management process in S&OP. There were not found a concrete way how to manage soft information in the existing literature. In consequence of the poor literature available the Knowledge Management literature was used as the base for the framework creation, which was seen in the very same type of information management like the soft information management is. The framework created a four-stage process to manage soft information in S&OP that included also the required support systems. First phase is collecting and acquiring soft information in S&OP, which include also categorization. The categorization was the cornerstone to identify different requirements that needs to be taken into consideration when managing soft information in S&OP process. The next phase focus on storing data, which purpose is to ensure the soft information is managed in a common system (support system) in a way that the following phase makes it available to users in S&OP who need by help of sharing and applications process. The last phase target is to use the soft information to understand assumptions and thoughts of users behind the numbers in S&OP plans. With this soft management process the support system will have a key role. The support system, like S&OP tool, ensures that soft information is stored in the right places, kept up-to-date and relevancy. The soft information management process in S&OP strives to improve the relevant soft information documenting behind the S&OP plans into the S&OP support system. The process offers an opportunity to individuals to review, comment and evaluate soft information in S&OP made by their own or others. In the case company it was noticed that without a properly documented and distributed soft information in S&OP it was seen to cause mistrust towards the planning.

Development of category planning process in construction business

The aim of this thesis was to develop the category planning process in the case company operating in construction industry. As the interest in the field of research has just recently started to emerge towards the benefits of category management and planning, the theoretical background was derived from literature of subjects with a relation to category planning i.e. procurement strategy, purchasing portfolio model, information flow management and cost analysis. The background for the development of category planning process was derived from retail industry, to where the category planning is more researched. The empirical study was executed with mixed method approach: quantitative data of the categories was analyzed and qualitative data was gathered through semi-structured interview and discussions within the case company. As a result, the category planning process was critically analyzed and development proposals addressed for improving the process description. Additionally a tool was developed based on the empirical study to support the category planning process of the case company.