On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

Dynamic Analysis Model of Spherical Roller Bearings with Defects

Rolling element bearings are essential components of rotating machinery. The spherical roller bearing (SRB) is one variant seeing increasing use, because it is self-aligning and can support high loads. It is becoming increasingly important to understand how the SRB responds dynamically under a variety of conditions. This doctoral dissertation introduces a computationally efficient, three-degree-of-freedom, SRB model that was developed to predict the transient dynamic behaviors of a rotor-SRB system. In the model, bearing forces and deflections were calculated as a function of contact deformation and bearing geometry parameters according to nonlinear Hertzian contact theory. The results reveal how some of the more important parameters; such as diametral clearance, the number of rollers, and osculation number; influence ultimate bearing performance. Distributed defects, such as the waviness of the inner and outer ring, and localized defects, such as inner and outer ring defects, are taken into consideration in the proposed model. Simulation results were verified with results obtained by applying the formula for the spherical roller bearing radial deflection and the commercial bearing analysis software. Following model verification, a numerical simulation was carried out successfully for a full rotor-bearing system to demonstrate the application of this newly developed SRB model in a typical real world analysis. Accuracy of the model was verified by comparing measured to predicted behaviors for equivalent systems.

Christlich-religiöse Textwelt als translatorisch-hermeneutischer Gegenstand Gegenstandsbeschreibung und Herangehensweisen

Tämä teorialähtöinen, hermeneuttinen tutkimus sijoittuu käännöstieteen sekä uskonnon- ja kielifilosofian rajapintaan. Tutkimuksessa kuvataan kristinuskon tekstimaailmaa relevantin tulkintakehyksen kautta sekä esitetään tekstimaailman tulkintaan soveltuva lähestymistapa ammattikääntäjän eli välittävän vastaanottajan näkökulmasta. Tutkimus pureutuu käännösprosessin hermeneutiikkaan eli lähdetekstin ja sen maailman tulkintaan, ymmärtämiseen ja selittämiseen liittyviin aspekteihin. Tutkimuksessa ei esitetä käännösratkaisuja. Tutkimus nostaa esiin filosofisen ja teologisen hermeneutiikan peruskysymyksiä. Niitä ovat Raamatun tekstien vaikutushistoria, erilaiset todellisuus- ja kielikäsitykset, kirkon oppi, teologian pääsuuntaukset, uskonnolliset yhteisöt ja niiden perinteet, inhimillinen kulttuuri ja aika. Ne ovat ulottuvuuksia, jotka vaikuttavat kääntäjän tekstin- ja maailmantulkintaan ja vaativat laajojen kontekstien huomioonottamista sekä lähestymistä monista eri näkökulmista. Ludwig Wittgensteinin myöhäisfilosofiaan liittyvän kielipelin idea tarjoaa ajatusmallin, jonka avulla uskonnon käsite-, merkki- ja tekstimaailmalle voidaan luoda moninäkökulmainen tulkintakehys. Kielipelin käsitettä käytetään tässä tutkimuksessa tekstien samankaltaisuutta ja erilaisuutta kokoavana järjestelmänä, joka toimii intratekstuaalisesti eli sillä on omat pelisääntönsä, tulkinnan lähteensä sekä tunnistettava identiteetti. Järjestelmän keskiössä ovat uskonnon konstituioivat käsitteet ja kertomukset, jotka ovat muiden tulkintojen eli metatekstien lähde. Kääntäjän varsinaisina tulkintakohteina ovat metatekstit, eivät raamatunkääntämiseen liittyvät kysymykset suoranaisesti. Tutkimuksessa luodaan kuitenkin tulkintamalli, jonka mukaan metatekstejä ja raamatun tekstejä luetaan rinnakkain. Ymmärtäminen ja ongelmanratkaisu rakentuvat tekstuaalisen kommunikaation pohjalta. Tekstejä luetaan sekä sääntöteorian että narratiivisen teorian valossa. Kertomus puhuttelee vastaanottajaa eri tavalla kuin sääntö. Tulkintamallissa yhdistyvät sekä analyyttinen että luovan mielikuvituksen sallima lukutapa. Molemmat toimivat yhdessä kääntäjän tekstin- merkin- ja maailmantulkinnan apuna. Tutkimuksessa pohditaan myös tekstiteorettisia kysymyksiä, tekstin ja merkin käsitteitä sekä niiden toimintadynamiikkaa. Tulkinnan mekanismi esitetään semioosin käsitteen avulla. Teksti määritellään heuristiseksi ja eksemplaariseksi kuvaukseksi maailmasta, ja se edustaa vain osaa tulkintakokonaisuudesta. Kääntäjän hermeneuttinen kenttä ulotetaan tekstinulkoiseen maailmaan, käytäntöön ja elämänmuotoon.

Developing usability evaluation heuristics for augmented reality applications

There is no generic usability heuristics for Augmented Reality (AR) applications, thus, the aim of this thesis was to develop one. The development of the heuristics was carried out in phases. Based on a literature review, a preliminary version of the heuristics was developed, which was evaluated by four experts. As a result, six evaluation criteria were formed: 1) interaction methods and controls, 2) presentation of virtual objects, 3) relationship between virtual objects and real world, 4) information related to virtual objects, 5) suitability for the usage context and 6) physical comfort of use. The heuristics should be used with Nielsen's (1995) generic usability evaluation heuristics. The heuristics are not ready to be used as such, since it must still be tested in practice.

Optimization and Measuring Techniques for Collect-and-Place Machines in Printed Circuit Board Industry

This thesis considers optimization problems arising in printed circuit board assembly. Especially, the case in which the electronic components of a single circuit board are placed using a single placement machine is studied. Although there is a large number of different placement machines, the use of collect-and-place -type gantry machines is discussed because of their flexibility and increasing popularity in the industry. Instead of solving the entire control optimization problem of a collect-andplace machine with a single application, the problem is divided into multiple subproblems because of its hard combinatorial nature. This dividing technique is called hierarchical decomposition. All the subproblems of the one PCB - one machine -context are described, classified and reviewed. The derived subproblems are then either solved with exact methods or new heuristic algorithms are developed and applied. The exact methods include, for example, a greedy algorithm and a solution based on dynamic programming. Some of the proposed heuristics contain constructive parts while others utilize local search or are based on frequency calculations. For the heuristics, it is made sure with comprehensive experimental tests that they are applicable and feasible. A number of quality functions will be proposed for evaluation and applied to the subproblems. In the experimental tests, artificially generated data from Markov-models and data from real-world PCB production are used. The thesis consists of an introduction and of five publications where the developed and used solution methods are described in their full detail. For all the problems stated in this thesis, the methods proposed are efficient enough to be used in the PCB assembly production in practice and are readily applicable in the PCB manufacturing industry.

From statin efficacy to everyday effectiveness: Studying the gap in between.

Statins are indicated for preventing cardiovascular disease events. Patients with diabetes have a risk of major cardiovascular events double the risk of their peers without diabetes. Thus, clinical treatment guidelines recommend statins for the management of diabetic dyslipidemia. The evidence base for statin use in cardiovascular disease derives from the randomized controlled statin trials designed to prove statin efficacy under ideal conditions, among a homogenous study population meeting strict trial eligibility criteria. This thesis was implemented as four pharmacoepidemiological statin studies using register data on realworld statin users. The overall purpose was to evaluate the trends, patterns and effectiveness of statin use in everyday life. More specifically, nationwide secular trends in statin use in Finland were analysed, especially among patient groups which had been underrepresented in the statin trials. Furthermore, the benchmarking statin trials in diabetes, the Heart Protection Study and the Collaborative Atorvastatin Diabetes Study, were evaluated for their representativeness for real-world diabetes care with the emphasis placed on adherence to statin use. The association between good adherence and the incidence of major cardiovascular events in the real-world was further investigated in diabetes. These studies demonstrate that statin initiations increased from 1995 to 2005 in Finland. The increase was most pronounced among those aged at least 75 years and was observed already before the publication of rigorous trial data conducted in elderly subjects. Thus, statins seem to have been initiated in clinical practice also going beyond the strict trial eligibility criteria. Nonetheless, low adherence to statin use among the real-world patients with diabetes was found not only to limit the representativeness of the trials for clinical care but also to attenuate in all likelihood their benefits in the real-world. In fact, good adherence to statin use was found to associate with a decreased risk for major cardiovascular events in patients with diabetes. In conclusion, these studies highlight the importance of good adherence to statin use in clinical practice in order to obtain the full therapeutic value demonstrated in the statin trials. Simply increasing the number of statin users will not alone suffice in sharing our common resources appropriately.

Visual analytics for behavioral and niche market segmentation

Companies require information in order to gain an improved understanding of their customers. Data concerning customers, their interests and behavior are collected through different loyalty programs. The amount of data stored in company data bases has increased exponentially over the years and become difficult to handle. This research area is the subject of much current interest, not only in academia but also in practice, as is shown by several magazines and blogs that are covering topics on how to get to know your customers, Big Data, information visualization, and data warehousing. In this Ph.D. thesis, the Self-Organizing Map and two extensions of it – the Weighted Self-Organizing Map (WSOM) and the Self-Organizing Time Map (SOTM) – are used as data mining methods for extracting information from large amounts of customer data. The thesis focuses on how data mining methods can be used to model and analyze customer data in order to gain an overview of the customer base, as well as, for analyzing niche-markets. The thesis uses real world customer data to create models for customer profiling. Evaluation of the built models is performed by CRM experts from the retailing industry. The experts considered the information gained with help of the models to be valuable and useful for decision making and for making strategic planning for the future.

Suomenkielisen oppimateriaalin koostaminen ohjelmistotestauksen perusteita käsittelevälle kurssille

Ohjelmistotestauksen merkitys ja testausosaamisen tarve ovat lisääntyneet sen myötä, kun ohjelmistojen koko on kasvanut ja toteutus monimutkaistunut. Testaustaidot kehittyvät parhaiten käytännön kokemuksen kautta mutta testausosaamisen perusta ja edellytykset käytännön taitojen kehittymiselle rakentuvat testauksen keskeisten avainasioiden, näkökulmien ja käytäntöjen teoreettiseen tuntemukseen ja ammattisanaston hyvään hallintaan. Tässä raportissa kuvataan Lappeenrannan teknilliselle yliopistolle tehty työ, jonka tuloksena koostettiin suomenkielinen oppimateriaali uudelle, keväällä 2015 kurssitarjontaan lisätylle opintojaksolle Ohjelmistotestauksen perusteet.

3D Mesh Simplification. A survey of algorithms and CAD model simplification tests

Simplification of highly detailed CAD models is an important step when CAD models are visualized or by other means utilized in augmented reality applications. Without simplification, CAD models may cause severe processing and storage is- sues especially in mobile devices. In addition, simplified models may have other advantages like better visual clarity or improved reliability when used for visual pose tracking. The geometry of CAD models is invariably presented in form of a 3D mesh. In this paper, we survey mesh simplification algorithms in general and focus especially to algorithms that can be used to simplify CAD models. We test some commonly known algorithms with real world CAD data and characterize some new CAD related simplification algorithms that have not been surveyed in previous mesh simplification reviews.

Virtuaalinen käyttöönottoympäristö automaatiojärjestelmälle

Valmistavan teollisuuden kiristyvät vaatimukset suunnittelusta markkinoille -ajassa (engl. time-to-market), laadussa, kustannustehokkuudessa ja turvallisuudessa luovat paineita uusien toimintatapojen etsimisessä. Usein laitteiston ohjausalgoritmeja ei ole mahdollista testata todellisen laitteiston kanssa, vaan ainoaksi ennakoivaksi vaihtoehdoksi jää todellisen laitteiston virtuaalinen mallintaminen. Eräs uusista toimintavoista on virtuaalinen käyttöönotto, jossa tuotantolinja tai laitteisto mallinnetaan ja sen käyttäytymistä simuloidaan ohjausalgoritmien parantamista ja todentamista varten. Tämän diplomityön tavoitteena oli toteuttaa virtuaalinen käyttöönottoympäristö, jolla laitteiston 3D-mallinnettua virtuaalista mallia voidaan ohjata reaaliajassa todellisen laitteiston ohjauslaitteistolla. Käyttöönottoympäristön toteuttamisen lopullisena tavoitteena on tutkia, millaisia hyötyjä sillä voidaan saavuttaa Outotec (Finland) Oy:n automaatiojärjestelmien suunnittelussa ja käyttöönotossa kiristyvien vaatimusten täyttämiseksi. Työssä toteutetulla käyttöönottoympäristöllä pystytään simuloimaan 3D-mallinnetun laitteiston osan toimintaa reaaliajassa. Todellisen laitteiston ominaisuuksista määritettyjä vaatimuksia ei kustannussyistä täytetty, sillä ennen sitä haluttiin varmistua valitun alustan ominaisuuksista, toimivuudesta ja soveltuvuudesta. Toteutuksen katsotaan kuitenkin täyttävän pehmeän reaaliaikaisuuden kriteerin noin 40 ms aikatasolla ja 80 ms reaktioajalla. Toteutettu virtuaalinen käyttöönottoympäristö osoittautui toimivaksi ja soveltuvaksi, sekä sen todettiin tuovan potentiaalisia hyötyjä Outotec (Finland) Oy:lle, esimerkiksi kosketusnäyttöjen visualisoinnin parannus, hybridikäyttöönottomahdollisuus sekä automaatio-ohjauksien kehittäminen. Työn perusteella arvioidaan onko Outotec:lla tarvetta jatkaa valitulla alustalla todellisen laitteiston aikavaatimukset täyttävään reaaliaika-toteutukseen, jota työssä esitellään.

Design and implementation of machine vision system for the mobile assembly robot

The review of intelligent machines shows that the demand for new ways of helping people in perception of the real world is becoming higher and higher every year. This thesis provides information about design and implementation of machine vision for mobile assembly robot. The work has been done as a part of LUT project in Laboratory of Intelligent Machines. The aim of this work is to create a working vision system. The qualitative and quantitative research were done to complete this task. In the first part, the author presents the theoretical background of such things as digital camera work principles, wireless transmission basics, creation of live stream, methods used for pattern recognition. Formulas, dependencies and previous research related to the topic are shown. In the second part, the equipment used for the project is described. There is information about the brands, models, capabilities and also requirements needed for implementation. Although, the author gives a description of LabVIEW software, its add-ons and OpenCV which are used in the project. Furthermore, one can find results in further section of considered thesis. They mainly represented by screenshots from cameras, working station and photos of the system. The key result of this thesis is vision system created for the needs of mobile assembly robot. Therefore, it is possible to see graphically what was done on examples. Future research in this field includes optimization of the pattern recognition algorithm. This will give less response time for recognizing objects. Presented by author system can be used also for further activities which include artificial intelligence usage.

Evaluation of the main energy scenarios for the global energy transition

Energy scenarios are used as a tool to examine credible future states and pathways. The one who constructs a scenario defines the framework in which the possible outcomes exist. The credibility of a scenario depends on its compatibility with real world experiences, and on how well the general information of the study, methodology, and originality and processing of data are disclosed. In the thesis, selected global energy scenarios’ transparency and desirability from the society’s point of view were evaluated based on literature derived criteria. The global energy transition consists of changes to social conventions and economic development in addition to technological development. Energy solutions are economic and ethical choices due to far-reaching impacts of energy decision-making. Currently the global energy system is mostly based on fossil fuels, which is unsustainable over the long-term due to various reasons: negative climate change impacts, negative health impacts, depletion of fossil fuel reserves, resource-use conflicts with water management and food supply, loss of biodiversity, challenge to preserve ecosystems and resources for future generations, and inability of fossil fuels to provide universal access to modern energy services. Nuclear power and carbon capture and storage cannot be regarded as sustainable energy solutions due to their inherent risks and required long-term storage. The energy transition is driven by a growing energy demand, decreasing costs of renewables, modularity and scalability of renewable technologies, macroeconomic benefits of using renewables, investors’ risk awareness, renewable energy related attractive business opportunities, almost even distribution of solar and wind resources on the planet, growing awareness of the planet’s environmental status, environmental movements and tougher environmental legislation. Many of the investigated scenarios identified solar and wind power as a backbone for future energy systems. The scenarios, in which the solar and wind potentials were deployed in largest scale, met best the set out sustainability criteria. In future research, energy scenarios’ transparency can be improved by better disclosure on who has ordered the study, clarifying the funding, clearly referencing to used sources and indicating processed data, and by exploring how variations in cost assumptions and deployment of technologies influence on the outcomes of the study.

GIS-based approach for optimization of onshore wind park infrastructure alignment in Finland

Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.