Sähköinen huutokauppa ja dynaaminen hankintajärjestelmä

Opinnäytetyöni tavoitteena on esitellä olennaiset kohdat julkisten hankintojen sähköisessä menettelyssä. Arvioinnin kohteena on lokakuussa 2011 voimaan astunut laki sähköisestä huutokaupasta ja dynaamisesta hankintajärjestelmästä. Opinnäytetyöni on kirjoituspöytätutkimus, joka perustuu julkisia hankintoja koskevaan lainsäädäntöaineistoon sekä julkisia hankintoja tutkivien sidosryhmien tuottamaan kirjallisuuteen. Näkökulmana on sähköisen menettelyn sääntelyn tarkoituksenmukaisuus hankintayksiköiden sekä toimittajien näkökulmista. Sääntely julkisten hankintojen sähköisestä menettelystä tarkoittaa julkisilla varoilla hankittavien palvelujen sekä tavaroiden hankintaa sähköisessä verkkoympäristössä. Hankintayksikkö, kuten valtion tai kunnan viranomainen, voi tämän lain myötä suorittaa hankintaprosessin sähköisesti käyttöliittymän kautta haluamastaan tuotteesta tai palvelusta.

Novel Regression Methods For Spectral Data

Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) are some of the mathematical pre- liminaries that are discussed prior to explaining PLS and PCR models. Both PLS and PCR are applied to real spectral data and their di erences and similarities are discussed in this thesis. The challenge lies in establishing the optimum number of components to be included in either of the models but this has been overcome by using various diagnostic tools suggested in this thesis. Correspondence analysis (CA) and PLS were applied to ecological data. The idea of CA was to correlate the macrophytes species and lakes. The di erences between PLS model for ecological data and PLS for spectral data are noted and explained in this thesis. i

PDM system functions and utilizations analysis to improve efficiency of sheet metal product design and manufacturing

This study will concentrate on Product Data Management (PDM) systems, and sheet metal design features and classification. In this thesis, PDM is seen as an individual system which handles all product-related data and information. The meaning of relevant data is to take the manufacturing process further with fewer errors. The features of sheet metals are giving more information and value to the designed models. The possibility of implementing PDM and sheet metal features recognition are the core of this study. Their integration should make the design process faster and manufacturing-friendly products easier to design. The triangulation method is the basis for this research. The sections of this triangle are: scientific literature review, interview using the Delphi method and the author’s experience and observations. The main key findings of this study are: (1) the area of focus in triangle (the triangle of three different point of views: business, information exchange and technical) depends on the person’s background and their role in the company, (2) the classification in the PDM system (and also in the CAD system) should be done using the materials, tools and machines that are in use in the company and (3) the design process has to be more effective because of the increase of industrial production, sheet metal blank production and the designer’s time spent on actual design and (4) because Design For Manufacture (DFM) integration can be done with CAD-programs, DFM integration with the PDM system should also be possible.

Sotamuistomerkki Suomessa. Voiton ja tappion modaalista sovittelua

Väitöskirjani tarjoaa laajasti tietoa sotamuistomerkeistä koko Suomen alueelta. Työ purkaa suomalaisten sotamuistomerkkien ilmaisutapoja ja modaalisia keinoja, joilla taideteokset sovittelevat voitetun tai hävityn sodan tarinaa ja kokemuksellisia jännitteitä toisiinsa. Suurin osa analyysin kohteena olevista taideteoksista on pystytetty Suomen itsenäisyyden ajalla vapaudenpatsaiksi tai sankarihautojen, taisteluiden ja vakaumuksensa puolesta kuolleiden muistomerkeiksi. Tutkimus painottuu voiton ideologian vaikutukseen sotakuvaston muotoutumisessa. Avainkysymyksiä ovat, miten sotamuistomerkki viestittää poliittis-ideologisia tavoitteita tai miten muistomerkkien figuurien asennot, eleet ja attribuutit välittävät sotatarinan yhteisöllisiä sisältöjä. Tutkimus tarkentuu teosten modaalisiin piirteisiin ja merkityksenmuodostuksen vuorovaikutteisuuteen. Erikoishuomion kohteena ovat aiheiden sisällölliset ristiriidat ja ilmaisun murtumakohdat. Suurten teosmäärien ja aihetyyppien jaottelussa ja analysoimisessa on hyödynnetty ikonografian, kuvaretoriikan ja eleiden tutkimusta. Suomalaisen aineiston vertailukohtina ovat antiikin sotilasaiheinen taide, keskiaikainen Kristuksen kärsimyskuvasto sekä sotamuistomerkkiperinne Saksassa, Ranskassa, Yhdistyneessä kuningaskunnassa ja Amerikan yhdysvalloissa. Sotien muistokultin merkitysten avaamisessa käytetään diskurssianalyysin välineitä. Tutkimus osoittaa, että sotamuistomerkit rakentavat yhteisön turvallisuudentunnetta ja muokkaavat sotilasimagoa maskuliinisten ideaalien ja implisiittisen vihollis- tai vastakuvan varassa. Kansallisen paatoksen ohessa sotamuistomerkit vahvistavat sotilaiden aseveliaatetta ja luovat kuvaa rikkumattomasta yhteishengestä sekä kotirintamasta. Teokset tulkitsevat valmistumisaikansa usein ristiriitaista tunneilmapiiriä ja tulevaisuuden odotuksia sekä neuvottelevat paikallisesta erityisyydestä ja valtakysymyksistä. Veistosten modaaliset keinot suhteessa toimijarooleihin, kuten autonomisuuden korostus, tunteenomainen toiseen tukeutuminen tai sodan velvoitteisiin suuntautuminen perustuvat yleensä figuurien asentoihin. Sen sijaan figuurien eleet ja attribuutit, tärkeimpinä kypärä, ase, univormu ja lumipuku, tarkentavat suuntautumisen tavoitetta ja ideologista sanomaa. Koska sodassa on kyse vaikeasti käsiteltävistä väkivaltakulttuurin ilmiöistä, muistomerkeillä on hämärretty ja muokattu kuvaa historian tapahtumista. Siten teosten välittämät ideat uhrivalmiudesta ja tunteiden hillinnän velvoitteesta auttavat sotatraumojen ja surun kanavoimisessa sekä purkavat tapahtumiin liittyvää häpeää.

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.

Study of ligand-based virtual screening tools in computer-aided drug design

Virtual screening is a central technique in drug discovery today. Millions of molecules can be tested in silico with the aim to only select the most promising and test them experimentally. The topic of this thesis is ligand-based virtual screening tools which take existing active molecules as starting point for finding new drug candidates. One goal of this thesis was to build a model that gives the probability that two molecules are biologically similar as function of one or more chemical similarity scores. Another important goal was to evaluate how well different ligand-based virtual screening tools are able to distinguish active molecules from inactives. One more criterion set for the virtual screening tools was their applicability in scaffold-hopping, i.e. finding new active chemotypes. In the first part of the work, a link was defined between the abstract chemical similarity score given by a screening tool and the probability that the two molecules are biologically similar. These results help to decide objectively which virtual screening hits to test experimentally. The work also resulted in a new type of data fusion method when using two or more tools. In the second part, five ligand-based virtual screening tools were evaluated and their performance was found to be generally poor. Three reasons for this were proposed: false negatives in the benchmark sets, active molecules that do not share the binding mode, and activity cliffs. In the third part of the study, a novel visualization and quantification method is presented for evaluation of the scaffold-hopping ability of virtual screening tools.

Calculation of wood volume and stem taper using terrestrial single-image close-range photogrammetry and contemporary software tools

Abstract

Using tools to help cost estimating and pricing: examination of costing model's and cost breakdown's workability and their capability to cooperative work

Tämä diplomityö käsittelee työkaluja, jotka on suunniteltu kustannusten ennakointiin ja hinnan asetantaan. Aluksi on käyty läpi perinteisen ja toimintoperusteisen kustannuslaskennan perusteita. Näiden menetelmien välisiä eroja on tarkasteltu ja toimintoperusteisen kustannuslaskennan paremmin sopivuus nykypäivän yrityksille on perusteltu. Toisena käsitellään hinnoittelu. Hinnan merkitys, hinnoittelumenetelmät ja päätös lopullisesta hinnasta on käyty läpi. Hinnoittelun jälkeen esitellään kustannusjärjestelmät ja kustannusten arviointi. Nämä asiat todistavat, että tarkat kustannusarviot ovat elintärkeitä yritykselle. Tuotteen kustannusarviointi, hinnan asetanta ja tarjoaminen ovat erittäin merkityksellisiä asioita ottaen huomioon koko projektin elinkaaren ja tulevat tuotot. Nykyään on yleistä käyttää työkaluja kustannusarvioinnissa ja joskus myös hinnoittelussa. Työkalujen luotettavuus on tiedettävä, ennenkuin työkalut otetaan käyttöön. Myös työkalujen käyttäjät täytyy perehdyttää hyvin. Muuten yritys todennäköisesti kohtaa odottamattomia ja epämiellyttäviä yllätyksiä.

Real-Time Simulation of Mobile and Industrial Machines Using the Multibody Simulation Approach

This thesis introduces a real-time simulation environment based on the multibody simulation approach. The environment consists of components that are used in conventional product development, including computer aided drawing, visualization, dynamic simulation and finite element software architecture, data transfer and haptics. These components are combined to perform as a coupled system on one platform. The environment is used to simulate mobile and industrial machines at different stages of a product life time. Consequently, the demands of the simulated scenarios vary. In this thesis, a real-time simulation environment based on the multibody approach is used to study a reel mechanism of a paper machine and a gantry crane. These case systems are used to demonstrate the usability of the real-time simulation environment for fault detection purposes and in the context of a training simulator. In order to describe the dynamical performance of a mobile or industrial machine, the nonlinear equations of motion must be defined. In this thesis, the dynamical behaviour of machines is modelled using the multibody simulation approach. A multibody system may consist of rigid and flexible bodies which are joined using kinematic joint constraints while force components are used to describe the actuators. The strength of multibody dynamics relies upon its ability to describe nonlinearities arising from wearing of the components, friction, large rotations or contact forces in a systematic manner. For this reason, the interfaces between subsystems such as mechanics, hydraulics and control systems of the mechatronic machine can be defined and analyzed in a straightforward manner.

Biomolecular screening for inhibitors of butyrylcholinesterase : identification and characterization using in vitro and in silico tools

Drug discovery is a continuous process where researchers are constantly trying to find new and better drugs for the treatment of various conditions. Alzheimer’s disease, a neurodegenerative disease mostly affecting the elderly, has a complex etiology with several possible drug targets. Some of these targets have been known for years while other new targets and theories have emerged more recently. Cholinesterase inhibitors are the major class of drugs currently used for the symptomatic treatment of Alzheimer’s disease. In the Alzheimer’s disease brain there is a deficit of acetylcholine and an impairment in signal transmission. Acetylcholinesterase has therefore been the main target as this is the main enzyme hydrolysing acetylcholine and ending neurotransmission. It is believed that by inhibiting acetylcholinesterase the cholinergic signalling can be enhanced and the cognitive symptoms that arise in Alzheimer’s disease can be improved. Butyrylcholinesterase, the second enzyme of the cholinesterase family, has more recently attracted interest among researchers. Its function is still not fully known, but it is believed to play a role in several diseases, one of them being Alzheimer’s disease. In this contribution the aim has primarily been to identify butyrylcholinesterase inhibitors to be used as drug molecules or molecular probes in the future. Both synthetic and natural compounds in diverse and targeted screening libraries have been used for this purpose. The active compounds have been further characterized regarding their potencies, cytotoxicity, and furthermore, in two of the publications, the inhibitors ability to also inhibit Aβ aggregation in an attempt to discover bifunctional compounds. Further, in silico methods were used to evaluate the binding position of the active compounds with the enzyme targets. Mostly to differentiate between the selectivity towards acetylcholinesterase and butyrylcholinesterase, but also to assess the structural features required for enzyme inhibition. We also evaluated the compounds, active and non-active, in chemical space using the web-based tool ChemGPS-NP to try and determine the relevant chemical space occupied by cholinesterase inhibitors. In this study, we have succeeded in finding potent butyrylcholinesterase inhibitors with a diverse set of structures, nine chemical classes in total. In addition, some of the compounds are bifunctional as they also inhibit Aβ aggregation. The data gathered from all publications regarding the chemical space occupied by butyrylcholinesterase inhibitors we believe will give an insight into the chemically active space occupied by this type of inhibitors and will hopefully facilitate future screening and result in an even deeper knowledge of butyrylcholinesterase inhibitors.

Data analysis tools and methods for DNA microarray and high-throughput sequencing data

The recent rapid development of biotechnological approaches has enabled the production of large whole genome level biological data sets. In order to handle thesedata sets, reliable and efficient automated tools and methods for data processingand result interpretation are required. Bioinformatics, as the field of studying andprocessing biological data, tries to answer this need by combining methods and approaches across computer science, statistics, mathematics and engineering to studyand process biological data. The need is also increasing for tools that can be used by the biological researchers themselves who may not have a strong statistical or computational background, which requires creating tools and pipelines with intuitive user interfaces, robust analysis workflows and strong emphasis on result reportingand visualization. Within this thesis, several data analysis tools and methods have been developed for analyzing high-throughput biological data sets. These approaches, coveringseveral aspects of high-throughput data analysis, are specifically aimed for gene expression and genotyping data although in principle they are suitable for analyzing other data types as well. Coherent handling of the data across the various data analysis steps is highly important in order to ensure robust and reliable results. Thus,robust data analysis workflows are also described, putting the developed tools andmethods into a wider context. The choice of the correct analysis method may also depend on the properties of the specific data setandthereforeguidelinesforchoosing an optimal method are given. The data analysis tools, methods and workflows developed within this thesis have been applied to several research studies, of which two representative examplesare included in the thesis. The first study focuses on spermatogenesis in murinetestis and the second one examines cell lineage specification in mouse embryonicstem cells.