Biopolttoaineiden saatavuus ja hankintalogistiikka Kaakkois-Suomessa

"Biopolttoaineiden saatavuus ja hankintalogistiikka Kaakkois-Suomessa" -hankkeen tavoitteena oli tuottaa ajantasaista ja paikkaan sidottua tietoa energiatuotantoon soveltuvan biomassan saatavuudesta ja biomassapotentiaalin tehokkaan käytön mahdollistavasta logistiikkajärjestelmästä Kaakkois-Suomen alueella. Tarkastelussa mukana olleet polttoaineet eli metsä- ja peltobiomassat sekä turve ovat ns. paikallisia polttoaineita, joiden hankinta tapahtuu maaseudulta, ensisijaisesti mahdollisimman läheltä kutakin käyttöpaikkaa. Hankkeessa tutkittiin mahdollisuuksia lisätä paikallista polttoaineenhankintaa, kuljetusmääriä ja -kalustoa järkevästi 2010-luvulla toteutettavan energiapolitiikan myötä kasvavan polttoainetarpeen puitteissa. Rautatie- ja vesitiekuljetusten hyödyntämistä logistiikassa tutkittiin kahden tapaustutkimuksen avulla. Tutkittavia asioita olivat myös tuotantoketjujen lisääntyvä työvoimatarve sekä maantieteellisesti laajenevan raaka-ainehankinnan kasvihuonekaasupäästöistä aiheutuvat ympäristövaikutukset. Tärkeimpinä tuloksina saatiin tietoa siitä, kuinka laajalle alueelle biopolttoaineiden hankinta eri asiantilojen vallitessa Kaakkois-Suomen alueella ulottuu, ja millaisia hankintalogistiikkaan liittyviä ratkaisuja voidaan ottaa käyttöön alueellisen polttoainepulan muodostuessa. Logistiikan kannalta Kaakkois-Suomen etuja ovat monipuoliset kuljetusverkostot, mutta toisaalta varsinkin hyvät yhteydet ulkomaille rajoittavat paikallisesti investointiaktiivisuutta bioenergian tuotanto- ja käsittelykaluston osalta. Lisäksi maaseudun yrittäjien keskuudessa epävarmuutta aiheuttavat heilahtelevat raakapuumarkkinat ja muuttuva energiatukipolitiikka.

Feature selection using Fuzzy Entropy measures with Yu's Similarity measure

In this study, feature selection in classification based problems is highlighted. The role of feature selection methods is to select important features by discarding redundant and irrelevant features in the data set, we investigated this case by using fuzzy entropy measures. We developed fuzzy entropy based feature selection method using Yu's similarity and test this using similarity classifier. As the similarity classifier we used Yu's similarity, we tested our similarity on the real world data set which is dermatological data set. By performing feature selection based on fuzzy entropy measures before classification on our data set the empirical results were very promising, the highest classification accuracy of 98.83% was achieved when testing our similarity measure to the data set. The achieved results were then compared with some other results previously obtained using different similarity classifiers, the obtained results show better accuracy than the one achieved before. The used methods helped to reduce the dimensionality of the used data set, to speed up the computation time of a learning algorithm and therefore have simplified the classification task

The Design and Implementation of a Power Management Feature to a Configuration Management System

Green IT is a term that covers various tasks and concepts that are related to reducing the environmental impact of IT. At enterprise level, Green IT has significant potential to generate sustainable cost savings: the total amount of devices is growing and electricity prices are rising. The lifecycle of a computer can be made more environmentally sustainable using Green IT, e.g. by using energy efficient components and by implementing device power management. The challenge using power management at enterprise level is how to measure and follow-up the impact of power management policies? During the thesis a power management feature was developed to a configuration management system. The feature can be used to automatically power down and power on PCs using a pre-defined schedule and to estimate the total power usage of devices. Measurements indicate that using the feature the device power consumption can be monitored quite precisely and the power consumption can be reduced, which generates electricity cost savings and reduces the environmental impact of IT.

Key performance indicators for successful metadata governance

Metadata in increasing levels of sophistication has been the most powerful concept used in management of unstructured information ever since the first librarian used the Dewey decimal system for library classifications. It remains to be seen, however, what the best approach is to implementing metadata to manage huge volumes of unstructured information in a large organization. Also, once implemented, how is it possible to track whether it is adding value to the company, and whether the implementation has been successful? Existing literature on metadata seems to either focus too much on technical and quality aspects or describe issues with respect to adoption for general information management initiatives. This research therefore, strives to contribute to these gaps: to give a consolidated framework for striving to understand the value added by implementing metadata. The basic methodology used is that of case study, which incorporates aspects of design science, surveys, and interviews in order to provide a holistic approach to quantitative and qualitative analysis of the case. The research identifies the various approaches to implementing metadata, particularly studying the one followed by the unit of analysis of case study, a large company in the Oil and Gas Sector. Of the three approaches identified, the selected company already follows an approach that appears to be superior. The researcher further explores its shortcomings, and proposes a slightly modified approach that can handle them. The research categorically and thoroughly (in context) identifies the top effectiveness criteria, and corresponding key performance indicators(KPIs) that can be measured to understand the level of advancement of the metadata management initiative in the company. In an effort to contrast and have a basis of comparison for the findings, the research also includes views from information managers dealing with core structured data stored in ERPs and other databases. In addition, the results include the basic criteria that can be used to evaluate metrics, in order to classify a metric as a KPI.

Key success factors and process for IT project portfolio management

The importance of Information Technology (IT) in the business environment is continuously growing. This stimulates the increase of size, complexity and number of IT projects and raises the need for IT Project Portfolio Management (IT PPM). While being actively discussed for the last few decades, IT PPM has a short history of practical implementation. This creates inconsistency in the views of different authors and provides an opportunity for additional research. As a first step, this research explores the existing studies and brings together the views of different authors on IT PPM. As a result, a high-level IT PPM Process Cycle and a set of Key Success Factors for IT PPM are proposed. IT PPM Process Cycle gives an overview of the main elements of IT PPM process, while the set of Key Success Factors provides a number of factors that should be considered during the implementation. As a second step, both theoretical deliverables are empirically tested by a case study and a survey conducted in a big multinational company. The case study is used to analyze process framework of the studied company towards the developed IT PPM Process Cycle. Subsequently, a survey was conducted among subject matter experts of the same company to evaluate the importance and relevance of the proposed Key Success Factors. Finally, this thesis concludes with findings made during the case study and provides an empirically tested selection of factors to be taken into account. These two deliverables can be used by both academics and practitioners to close the gaps in existing literature and assist in IT PPM implementation.

Combination of catalyst development and chemical reaction engineering : a key aspect to improve the hydrogen peroxide direct synthesis

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Scaling up stepwise feature introduction to construction of large software systems

Developing software is a difficult and error-prone activity. Furthermore, the complexity of modern computer applications is significant. Hence,an organised approach to software construction is crucial. Stepwise Feature Introduction – created by R.-J. Back – is a development paradigm, in which software is constructed by adding functionality in small increments. The resulting code has an organised, layered structure and can be easily reused. Moreover, the interaction with the users of the software and the correctness concerns are essential elements of the development process, contributing to high quality and functionality of the final product. The paradigm of Stepwise Feature Introduction has been successfully applied in an academic environment, to a number of small-scale developments. The thesis examines the paradigm and its suitability to construction of large and complex software systems by focusing on the development of two software systems of significant complexity. Throughout the thesis we propose a number of improvements and modifications that should be applied to the paradigm when developing or reengineering large and complex software systems. The discussion in the thesis covers various aspects of software development that relate to Stepwise Feature Introduction. More specifically, we evaluate the paradigm based on the common practices of object-oriented programming and design and agile development methodologies. We also outline the strategy to testing systems built with the paradigm of Stepwise Feature Introduction.

USING ATHLETE ENDORSEMENT IN BRAND POSITIONING – An insight from multinational sports goods companies

It has become a popular method in marketing campaigns to use well-known and admired personalities to promote products. A famous person can draw attention to the brand and change consumers’ perceptions of the brand. The research problem of this study was to offer guidelines on how to use athlete endorsement effectively in brand positioning. This research tried to illustrate how athlete endorsement is a vital brand building factor. Athletes have been found to have special credibility, so this research concentrated on the sports goods industry. Furthermore, athlete endorsement has become a natural part of communicating a sports brand. Athletes highlight the performance of the brand to the consumers. The study was conducted as a qualitative research applying case study method. The two case companies selected for this study were Adidas and Puma. The main findings of the empirical research corresponded to the theoretical framework of the study. Brand positioning strategies in the sports goods industry often include athlete endorsement to some extent. Large multinational companies try to attract the best athletes to promote their brand. The key to successful brand positioning is to have a good product with the right personalities to promote it. However, large multinational companies may face difficulties in localizing their marketing efforts. As a result, global campaigns may not be lucrative everywhere. The role of an expert in an athlete’s sport has resulted in increasing credibility in promoting brands. Creating a superior product in consumers’ minds creates competitive advantage. A top athlete may be linked with superior equipment. After considering the goals of the positioning strategy, companies need to plan their brand awareness process, brand image and brand values. Then, athletes need to be selected based on their characteristics to meet the criteria. Sport sponsorship is a way to support the message delivered through athlete endorsement. Athlete endorsement and sport sponsorship complement the marketing communications mix of a brand. Additionally, companies raise brand awareness and communicate brand image through the athlete. Thus, athletes may earn more money through the sponsorship deals and even feature the advertisements after their professional career. Key words

The key practices of customer portfolio management (CPM) process in the medical and healthcare B2B industry

The goal of this study is to deepen the understanding of the customer portfolio management process. There are many models for the process, and they are not necessarily exclusive of each other. Consequently, the inclusion of many models might even prove out to be beneficial. Other theoretical framework include the current economical situation and its propose on customer portfolio management. With an understanding of the theoretical models as a background, the empirical part of this study compares Finnish multinational medical and healthcare technology companies’ customer portfolio management practices. The empirical research was carried out with theme interviews held with 11 sales and marketing managers or directors from four different companies. The goal was to discover the most essential practices of the process steps in the companies. The result of this study is that there is a lack of systematic customer portfolio management, but most companies are aiming to improve this in the near future. The most essential practices are analysis of sales, communication level, learning, and commitment to strategy of the focal company. Special characteristics of this industry include large business networks that include customers, professional end-users, institutions, universities, researchers, and key opinion leaders. The management and analysis of this comprehensive network has been seen to be extremely important for this industry.

Key factors in transforming university internationalization into commercial activity in Finland. Case of University of Turku

Globalization, developments in ICT, emergence of knowledge society and other changes have reformed the environment for international higher education during the past few decades. Consequently, higher education sector has moved towards more marketing-oriented system, and universities have started to undertake commercial activities as part of their internationalization. This development has emerged to Finland as well, which forms the basis for this study. The purpose is to examine commercialization in Finnish university landscape and to investigate the ways Finnish university could capitalize its international activities and educational knowledge for export. The research question of the study is: What are the key factors in transforming university internationalization into commercial activity in the Finnish university landscape? The main problem is further divided into three sub-questions: 1) How can a university internationalize; 2) what are the motivational factors behind university internationalization and commercialization; and 3) how can higher education be developed into export services and products? The research was conducted as a qualitative case study of University of Turku. Methods used for gathering and examining data were interviewing and document analysis. Primary data was collected through four individual semi-structured interviews, which were conducted face-to-face. Secondary data that included reports, articles and electronic materials such as university web pages, was used to complement the primary data. The results were analyzed by theming the data into three broader categories of internationalization activities; drivers and motivations and; education export activities. After the data was organized in themes, analysis continued by comparing different parts of data and finding patterns that would explain the phenomenon in Finnish universities. According to the empirical data, University of Turku is currently on the growth state of internationalization with strategies such as internationalization of curriculum, establishment of international research groups, mobility of students and academics, international networking and support services. Commercialization phenomenon is still rather new to the case university, but it has already developed educational products and services for export. The study concludes that university internationalization cannot be directly transformed into commercial activities in the Finnish context, but the universities need to be active in actually creating educational products. The key factors found in this study include: 1) the Finnish government policies behind the current hype of export education; 2) the potential and knowledge capacity of universities for exports; 3) need for additional profits; 4) further internationalization through commercial activities; 5) recognizing and exploiting the specific areas of strength and 6) establishing of cooperative partnerships for better products.

Mythology as a key to historical ways of thinking

Kirjallisuusarvostelu

Interoperability specifications and an automatic validation tool as a key factor for the support of a repository ecosystem

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Alpha- and gamma-melanocyte stimulating hormones in obesity. A study of the key central areas of metabolic regulation

The melanocortin system is an important regulator of feeding, energy metabolism,and cardiovascular function and it consists of the pro-opiomelanocortin (POMC) derived melanocyte stimulating hormones (α-, β- and γ-MSH) and their endogenous melanocortin receptors, MC1R to MC5R. In the hypothalamus, α-MSH reduces food intake, and increases energy expenditure and sympathetic tone by binding to MC4R. Mutations affecting the MC4R gene lead to obesity in mammals. On the other hand, the metabolic effects of MC3R stimulation using agonists such as the endogenously expressed γ-MSH have been less extensively explored. The main objective of this study was to investigate the long-term effects of increased melanocortin tone in key areas of metabolic regulation in the central nervous system (CNS) in order to investigate the sitespecific roles of both α-MSH and γ-MSH. The aim was to stereotaxically induce local overexpression of single melanocortin peptides using lentiviral vectors expressing α-MSH (LVi-α-MSH-EGFP) and γ-MSH (LVi-γ-MSH-EGFP). The lentiviral vectors were shown to produce a long-term overexpression and biologically active peptides in cell-based assays. The LVi-α-MSHEGFP was targeted to the arcuate nucleus in the hypothalamus of diet induced obese mice where it reduced weight gain and adiposity independently of food intake. When the nucleus tractus solitarus in the brainstem was targeted, the LVi-α-MSH-EGFP treatment was shown to cause a small decrease in adiposity, which did not impact weight development. However, the α-MSH treatment increased heart rate, which was attenuated by adrenergic receptor blockade indicative of increased sympathetic activity. The LVi-γ-MSH-EGFP was targeted to the hypothalamus where it decreased fat mass in mice eating the standard diet, but the effect was abated if animals consumed a high-fat Western type diet. When the diet induced obese mice were subjected again to the standard diet, the LVi-γ-MSH-EGFP treated animals displayed increased weight loss and reduced adiposity. These results indicate that the long-term central anti-obesity effects of α-MSH are independent of food intake. In addition, overexpression of α-MSH in the brain stem efficiently blocked the development of adiposity, but increased sympathetic tone. The evidence presented in this thesis also indicates that selective MC3R agonists such as γ-MSH could be potential therapeutics in combination with low fat diets.