Ambient intelligence application based on environmental measurements performed with an assistant mobile robot

This paper proposes the use of an autonomous assistant mobile robot in order to monitor the environmental conditions of a large indoor area and develop an ambient intelligence application. The mobile robot uses single high performance embedded sensors in order to collect and geo-reference environmental information such as ambient temperature, air velocity and orientation and gas concentration. The data collected with the assistant mobile robot is analyzed in order to detect unusual measurements or discrepancies and develop focused corrective ambient actions. This paper shows an example of the measurements performed in a research facility which have enabled the detection and location of an uncomfortable temperature profile inside an office of the research facility. The ambient intelligent application has been developed by performing some localized ambient measurements that have been analyzed in order to propose some ambient actuations to correct the uncomfortable temperature profile.

Reporting Framework: Implementation and Performance Analysis

Fenix on suuri metsäteollisuuden tuotannonohjausjärjestelmä. Fenix-järjestelmän raportointi- ja tulostuspalvelut elävätvaihdekautta. Aikaisemmin käytetyt raportointityökalut ovat vanhentumassa ja neon korvattava uusilla. Uusi raportointialusta, Global Printing System (GPS), onrakennettu StreamServe Business Communication Platformin ympärille. Uuden alustan on tarkoitus hoitaa Fenixin tulostus sekä raportointitehtävät. Työ kuvaa raportointialustan toteutuksen sekä sen tärkeimmät ominaisuudet. Uuden alustan suorituskyvyssä on ollut toivomisen varaa. Etenkin suurien raporttien generoiminen on kestänyt joskus toivottoman pitkään. Työssä analysoidaan raportointialustan suorituskykyä ja etsitään mahdolliset pullonkaulat. Suorituskyvyn heikkouksiin pyritään löytämään ratkaisut ja annetaan ehdotuksia suorituskyvyn parantamiseksi. XML pohjaisena järjestelmänä GPS:n suorituskyvyssä suurta osaaesittää XML:n tehokkuus. GPS sisääntuleva data tulee XML-muodossa ja sisääntulon parsimisen tehokkuus on avaintekijöitä koko GPS:n tehokkuuden kannalta. Suorituskyvyn parantamisessa keskitytäänki vahvasti XML:n tehokkaampaan käyttöön ja esitetään ehdotuksia sen parantamiseksi.

High-performance payload data handling system for Gaia

Gaia is the most ambitious space astrometry mission currently envisaged and is a technological challenge in all its aspects. We describe a proposal for the payload data handling system of Gaia, as an example of a high-performance, real-time, concurrent, and pipelined data system. This proposal includes the front-end systems for the instrumentation, the data acquisition and management modules, the star data processing modules, and the payload data handling unit. We also review other payload and service module elements and we illustrate a data flux proposal.

Web Presence Building and Performance Measuring in Business-to-Business Markets

Tutkimuksen tavoite oli selvittää yrityksen web toiminnan rakentamisen vaiheita sekä menestyksen mittaamista. Rakennusprosessia tutkittiin viisiportaisen askelmallin avulla. Mallin askeleet ovat; arviointi, strategian muotoilu, suunnitelma, pohjapiirros ja toteutus. Arviointi- ja toteutusvaiheiden täydentämiseksi sekä erityisesti myös internet toiminnan onnistumisen mittaamisen avuksi internet toiminnan hyödyt (CRM,kommunikointi-, myynti-, ja jakelukanava hyödyt markkinoinnin kannalta) käsiteltiin. Toiminnan menestyksen arvioinnin avuksi esiteltiin myös porrasmalli internet toimintaan. Porrasmalli määrittelee kauppakulissi-, dynaaminen-, transaktio- ja e-businessportaat. Tutkimuksessa löydettiin menestystekijöitä internet toimintojen menestykselle. Nämä tekijät ovat laadukas sisältö, kiinnostavuus, viihdyttävyys, informatiivisuus, ajankohtaisuus, personoitavuus, luottamus, interaktiivisuus, käytettävyys, kätevyys, lojaalisuus, suoriutuminen, responssiivisuus ja käyttäjätiedon kerääminen. Mittarit jaettiin tutkimuksessa aktiivisuus-, käyttäytymis- ja muunnosmittareihin. Lisäksi muita mittareita ja menestysindikaattoreita esiteltiin. Nämä menestyksen elementit ja mittarit koottiin yhteen uudessa internet toimintojen menestyksenarviointimallissa. Tutkielman empiirisessä osuudessa,esitettyjä teorioita peilattiin ABB:n (ABB:n sisällä erityisesti ABB Stotz-Kontakt) web toimintaan. Apuna olivat dokumenttianalyysi sekä haastattelut. Empiirinen osa havainnollisti teoriat käytännössä ja toi ilmi mahdollisuuden teorioiden laajentamiseen. Internet toimintojen rakentamismallia voidaan käyttää myös web toimintojen kehittämiseen ja porrasmalli sopii myös nykyisten internet toimintojen arvioimiseen. Mittareiden soveltaminen käytännössä toi kuitenkin ilmi tarpeen niiden kehittämiseen ja aiheen lisätutkimukseen. Niiden tulisi olla myös aiempaatiiviimmin liitetty kokonaisvaltaisen liiketoiminnan menestyksen mittaamiseen.

R&D Expenditures and Firm Performance: Empirical Evidence on Finnish Data

Tutkielman tavoitteena on tutkia yrityksen tutkimus- ja tuotekehitystoiminnan (T&K) vaikutuksia yrityksen suorituskykyyn. Tutkielmassa tarkastellaan myös lyhyesti T&K- toimintaa osana yrityksen toimintoja ja ympäristöä. Tutkielman empiirisessä osassa tutkitaan poikkileikkausmenetelmää käyttäen T&K- menojen vaikutusta yrityksen kasvuun, kannattavuuteen ja osakkeen hintaan (tuottoon). Tutkielman empiirinen osa toteutettiin keräämällä tilinpäätös- ja osaketiedot 65 yritykselle vuosilta 1999-2005. T&K- menojen vaikutusta yrityksen kasvuun, kannattavuuteen ja osakkeen tuottoon tutkittiin eri aikavälejä käyttäen, jotta mahdolliset syy-seuraussuhteet voitaisiin luotettavasti osoittaa. Tutkimustulokset osoittavat, että yrityksen T&K- menoilla on positiivinen vaikutus yrityksen kasvuun ja kannattavuuteen ja,siten tulokset tukevat kahta tutkimuksen päähypoteesia. Yrityksen T&K- menoilla ja osakkeen tuoton välillä ei kuitenkaan käytetyllä aineistolla empiiristä yhteyttä löytynyt, joten kolmas päähypoteesi hylättiin.

R&D Performance Analysis: Case Studies on the Challenges and Promotion of the Evaluation and Measurement of R&D

Due to the intense international competition, demanding, and sophisticated customers, and diverse transforming technological change, organizations need to renew their products and services by allocating resources on research and development (R&D). Managing R&D is complex, but vital for many organizations to survive in the dynamic, turbulent environment. Thus, the increased interest among decision-makers towards finding the right performance measures for R&D is understandable. The measures or evaluation methods of R&D performance can be utilized for multiple purposes; for strategic control, for justifying the existence of R&D, for providing information and improving activities, as well as for the purposes of motivating and benchmarking. The earlier research in the field of R&D performance analysis has generally focused on either the activities and considerable factors and dimensions - e.g. strategic perspectives, purposes of measurement, levels of analysis, types of R&D or phases of R&D process - prior to the selection of R&Dperformance measures, or on proposed principles or actual implementation of theselection or design processes of R&D performance measures or measurement systems. This study aims at integrating the consideration of essential factors anddimensions of R&D performance analysis to developed selection processes of R&D measures, which have been applied in real-world organizations. The earlier models for corporate performance measurement that can be found in the literature, are to some extent adaptable also to the development of measurement systemsand selecting the measures in R&D activities. However, it is necessary to emphasize the special aspects related to the measurement of R&D performance in a way that make the development of new approaches for especially R&D performance measure selection necessary: First, the special characteristics of R&D - such as the long time lag between the inputs and outcomes, as well as the overall complexity and difficult coordination of activities - influence the R&D performance analysis problems, such as the need for more systematic, objective, balanced and multi-dimensional approaches for R&D measure selection, as well as the incompatibility of R&D measurement systems to other corporate measurement systems and vice versa. Secondly, the above-mentioned characteristics and challenges bring forth the significance of the influencing factors and dimensions that need to be recognized in order to derive the selection criteria for measures and choose the right R&D metrics, which is the most crucial step in the measurement system development process. The main purpose of this study is to support the management and control of the research and development activities of organizations by increasing the understanding of R&D performance analysis, clarifying the main factors related to the selection of R&D measures and by providing novel types of approaches and methods for systematizing the whole strategy- and business-based selection and development process of R&D indicators.The final aim of the research is to support the management in their decision making of R&D with suitable, systematically chosen measures or evaluation methods of R&D performance. Thus, the emphasis in most sub-areas of the present research has been on the promotion of the selection and development process of R&D indicators with the help of the different tools and decision support systems, i.e. the research has normative features through providing guidelines by novel types of approaches. The gathering of data and conducting case studies in metal and electronic industry companies, in the information and communications technology (ICT) sector, and in non-profit organizations helped us to formulate a comprehensive picture of the main challenges of R&D performance analysis in different organizations, which is essential, as recognition of the most importantproblem areas is a very crucial element in the constructive research approach utilized in this study. Multiple practical benefits regarding the defined problemareas could be found in the various constructed approaches presented in this dissertation: 1) the selection of R&D measures became more systematic when compared to the empirical analysis, as it was common that there were no systematic approaches utilized in the studied organizations earlier; 2) the evaluation methods or measures of R&D chosen with the help of the developed approaches can be more directly utilized in the decision-making, because of the thorough consideration of the purpose of measurement, as well as other dimensions of measurement; 3) more balance to the set of R&D measures was desired and gained throughthe holistic approaches to the selection processes; and 4) more objectivity wasgained through organizing the selection processes, as the earlier systems were considered subjective in many organizations. Scientifically, this dissertation aims to make a contribution to the present body of knowledge of R&D performance analysis by facilitating dealing with the versatility and challenges of R&D performance analysis, as well as the factors and dimensions influencing the selection of R&D performance measures, and by integrating these aspects to the developed novel types of approaches, methods and tools in the selection processes of R&D measures, applied in real-world organizations. In the whole research, facilitation of dealing with the versatility and challenges in R&D performance analysis, as well as the factors and dimensions influencing the R&D performance measure selection are strongly integrated with the constructed approaches. Thus, the research meets the above-mentioned purposes and objectives of the dissertation from the scientific as well as from the practical point of view.

Data communication in paper sales environment

Tämä diplomityö kirjoitettiin UPM- Kymmene konsernin UPM Net Services sa/nv osastolle Brysselissä ja Helsingissä. Työn aihe, Data communication in paper sales environment, määriteltiin käsittelemään paperin myyntijärjestelmään liittyviä aiheita. Nykyinen paperin myyntijärjestelmä on käsitelty ensin teoriassa ja aiheeseen kuuluvat ohjelmistotuotteet ja työkaluohjelmistot on esitelty. Parannuksia nykyiseen järjestelmään on pohdittu ohjelmistosuunnittelun, tehokkuuden, tiedon hallinnan, tietoturvallisuuden ja liiketoiminnan näkökulmista. Diplomityön käytännön osuudessa esitellään kaksi ohjelmistoa. Nämä ohjelmistot tehtiin UPM Net Services'lle, jotta saatiin kokemuksia viestin välitykseen perustuvasta tiedon siirrosta. Diplomityön johtopäätösosuudessa todetaan, että paperin myyntijärjestelmän tiedon siirto toimii luotettavasti nykyisessä järjestelmässä. Tulevaisuuden tarpeet ja parannukset ovat kuitenkin vaikeasti toteutettavissa nykyään käytettävin välinein. Erityisesti internetin hyödyntäminen nähdään tärkeänä, mutta se on vaikeasti otettavissa käyttöön nykyisessä järjestelmässä. Viestin välitykseen perustuvat järjestelmät ovat osoittautuneet käytännössä toimiviksi ja tärkein kehitysehdotus onkin viestin välitysjärjestelmän käyttöönotto.

Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data

Maximum entropy modeling (Maxent) is a widely used algorithm for predicting species distributions across space and time. Properly assessing the uncertainty in such predictions is non-trivial and requires validation with independent datasets. Notably, model complexity (number of model parameters) remains a major concern in relation to overfitting and, hence, transferability of Maxent models. An emerging approach is to validate the cross-temporal transferability of model predictions using paleoecological data. In this study, we assess the effect of model complexity on the performance of Maxent projections across time using two European plant species (Alnus giutinosa (L.) Gaertn. and Corylus avellana L) with an extensive late Quaternary fossil record in Spain as a study case. We fit 110 models with different levels of complexity under present time and tested model performance using AUC (area under the receiver operating characteristic curve) and AlCc (corrected Akaike Information Criterion) through the standard procedure of randomly partitioning current occurrence data. We then compared these results to an independent validation by projecting the models to mid-Holocene (6000 years before present) climatic conditions in Spain to assess their ability to predict fossil pollen presence-absence and abundance. We find that calibrating Maxent models with default settings result in the generation of overly complex models. While model performance increased with model complexity when predicting current distributions, it was higher with intermediate complexity when predicting mid-Holocene distributions. Hence, models of intermediate complexity resulted in the best trade-off to predict species distributions across time. Reliable temporal model transferability is especially relevant for forecasting species distributions under future climate change. Consequently, species-specific model tuning should be used to find the best modeling settings to control for complexity, notably with paleoecological data to independently validate model projections. For cross-temporal projections of species distributions for which paleoecological data is not available, models of intermediate complexity should be selected.

Image processing of false identity documents for forensic intelligence

Forensic intelligence has recently gathered increasing attention as a potential expansion of forensic science that may contribute in a wider policing and security context. Whilst the new avenue is certainly promising, relatively few attempts to incorporate models, methods and techniques into practical projects are reported. This work reports a practical application of a generalised and transversal framework for developing forensic intelligence processes referred to here as the Transversal model adapted from previous work. Visual features present in the images of four datasets of false identity documents were systematically profiled and compared using image processing for the detection of a series of modus operandi (M.O.) actions. The nature of these series and their relation to the notion of common source was evaluated with respect to alternative known information and inferences drawn regarding respective crime systems. 439 documents seized by police and border guard authorities across 10 jurisdictions in Switzerland with known and unknown source level links formed the datasets for this study. Training sets were developed based on both known source level data, and visually supported relationships. Performance was evaluated through the use of intra-variability and inter-variability scores drawn from over 48,000 comparisons. The optimised method exhibited significant sensitivity combined with strong specificity and demonstrates its ability to support forensic intelligence efforts.

Market orientation and performance in entrepreneurial SMEs

Market orientation is the organizational culture that creates the necessary behaviors for continuous additional value for customers and thus continuous superior performance for the business. The field of market orientation has been studied repeatedly during the past two decades. Yet research has concentrated on large firms in large domestic markets creating a need for diversifying research. The master’s thesis at hand examined the general incidence of market orientation among SMEs from five different industries as well as its consequences on SME performance. The empirical part of the thesis was conducted with a web-based survey that resulted in 255 responses. The data of the survey was analyzed by statistical analysis. The incidence of market orientation varied among dimensions and market orientation did not show any direct effect on firm performance. Customer orientation was the only dimension that showed a direct (positive) effect. On the contrary, moderating effects were found which indicate that the effect of market orientation in SMEs is influenced by other factors that should receive further attention. Also industry specific differences were discovered and should be further examined.

Product Data Managemet as a Key Success Factor in After Sales Business

The objective of this master’s thesis is to define Larox´s Product Data present state and future development needs from after sales point of view. In particular the object was to investigate after sales needs, which data related to products need to be managed by using Product Data Management. Empirical material of thesis was collected mainly through interviews, benchmark visits, and personal experience. Among the interviewees were internal stakeholders who are closely related to the product process, as well as external stakeholders. Interviews revealed that each stakeholder group has deviating needs for product data management and that at present all the needs are not met to take the best possible way. The main requirement was availability of up-to-date information, which plays a key role in after sales business. At the end of study is concentrated to find development targets at Larox, especially from after sales point of view. In addition, consideration of how the product data management advantages can utilized in making internal processes more efficient. Development needs are collected together as project descriptions, whose headings are shown at the end of the study.

Managing through measurement : A framework for successful operative level performance measurement

The research around performance measurement and management has focused mainly on the design, implementation and use of performance measurement systems. However, there is little evidence about the actual impacts of performance measurement on the different levels of business and operations of organisations, as well as the underlying factors that lead to a positive impact of performance measurement. The study thus focuses on this research gap, which can be considered both important and challenging to cover. The first objective of the study was to examine the impacts of performance measurement on different aspects of management, leadership and the quality of working life, after which the factors that facilitate and improve performance and performance measurement at the operative level of an organisation were examined. The second objective was to study how these factors operate in practice. The third objective focused on the construction of a framework for successful operative level performance measurement and the utilisation of the factors in the organisations. The research objectives have been studied through six research papers utilising empirical data from three separate studies, including two sets of interview data and one of quantitative data. The study applies mainly the hermeneutical research approach. As a contribution of the study, a framework for successful operative level performance measurement was formed by matching the findings of the current study and performance measurement theory. The study extents the prior research regarding the impacts of performance measurement and the factors that have a positive effect on operative level performance and performance measurement. The results indicate that under suitable circumstances, performance measurement has positive impacts on different aspects of management, leadership, and the quality of working life. The results reveal that for example the perception of the employees and the management of the impacts of performance measurement on leadership style differ considerably. Furthermore, the fragmented literature has been reorganised into six factors that facilitate and improve the performance of the operations and employees, and the use of performance measurement at the operative level of an organisation. Regarding the managerial implications of the study, managers who operate around performance measurement can utilise the framework for example by putting the different phases of the framework into practice.

Ambient intelligence application based on environmental measurements performed with an assistant mobile robot

This paper proposes the use of an autonomous assistant mobile robot in order to monitor the environmental conditions of a large indoor area and develop an ambient intelligence application. The mobile robot uses single high performance embedded sensors in order to collect and geo-reference environmental information such as ambient temperature, air velocity and orientation and gas concentration. The data collected with the assistant mobile robot is analyzed in order to detect unusual measurements or discrepancies and develop focused corrective ambient actions. This paper shows an example of the measurements performed in a research facility which have enabled the detection and location of an uncomfortable temperature profile inside an office of the research facility. The ambient intelligent application has been developed by performing some localized ambient measurements that have been analyzed in order to propose some ambient actuations to correct the uncomfortable temperature profile.

Competitors' Financial Performance Monitoring Model

The objective of the thesis was to develop a competitors’ financial performance monitoring model for management reporting. The research consisted of the selections of the comparison group and the performance meters as well as the actual creation of the model. A brief analysis of the current situation was also made. The aim of the results was to improve the financial reporting quality in the case organization by adding external business environment observation to the management reports. The comparison group for the case company was selected to include five companies that were all involved in power equipment engineering and project type business. The most limiting factor related to the comparison group selection was the availability of quarterly financial reporting. The most suitable performance meters were defined to be the developments of revenue, order backlog and EBITDA. These meters should be monitored systematically on quarterly basis and reported to the company management in a brief and informative way. The monitoring model was based on spreadsheet construction with key characteristics being usability, flexibility and simplicity. The model acts as a centered storage for financial competitor information as well as a reporting tool. The current market situation is strongly affected by the economic boom in the recent years and future challenges can be clearly seen in declining order backlogs. The case company has succeeded well related to its comparison group during the observation period since its business volume and profitability have developed in the best way.

Customer reference marketing in a business to business context

This study focuses on the phenomenon of customer reference marketing in a business tobusiness (B to B) context. Although customer references are generally considered an important marketing and sales tool, the academic literature has paid surprisingly little attention to the phenomenon. The study suggests that customer references could be viewed as important marketing assets for industrial suppliers, and the ability to build, manage and leverage customer reference portfolios systematically constitutes a relevant marketing capability. The role of customer references is examined in the context of the industrial suppliers' shift towards a solution and project orientation and in the light of the on going changes in the project business. Suppliers in several industry sectors are undergoing a change from traditional equipment manufacturing towards project and solution oriented business. It is argued in this thesis that the high complexity, the project oriented nature and the intangible service elements that characterise many contemporary B to B offerings further increase the role of customer references. The study proposes three mechanisms of customer reference marketing: status transfer, validation through testimonials and the demonstration of experience and prior performance. The study was conducted in the context of Finnish B to B process technology and information technology companies. The empirical data comprises 38 interviews with managers of four case companies, 165 customer reference descriptions gathered from six case companies' Web sites, as well as company internal material. The findings from the case studies show that customer references have various external and internal functions that contribute to the growth and performance of B to B firms. Externally, customer references bring status transfer effects from reputable customers, concretise and demonstrate complex solutions, and provide indirect evidence of experience, previous performance, technological functionality and delivered customer value. They can also be leveraged internally to facilitate organisational learning and training, advance offering development, and motivate personnel. Major reference projects create new business opportunities and can be used as a vehicle for strategic change. The findings of the study shed light on the on going changing orientations in the project business environment, increase understanding of the variety of ways in which customer references can be deployed as marketing assets, and provide a framework of the relevant tasks and activities related to building, managing and leveraging a firm's customer reference portfolio. The findings contribute to the industrial marketing research, to the literature on marketing assets and capabilities and to the literature on projects and solutions. The proposed functions and mechanisms of customer reference marketing bring a more thorough and structured understanding about the essence and characteristics of the phenomenon and give a wide ranging view of the role of customer references as marketing assets for B to B firms. The study suggests several managerial implications for industrial suppliers in order to systematise customer reference marketing efforts.