Electric Motor and Frequency Converter Markets in Latin America and Especially in the Mining Industry of Chile

Latinalaisen Amerikan osuus maailmantaloudesta on pieni verrattuna sen maantieteelliseen kokoon, väkilukuun ja luonnonvaroihin. Aluetta pidetään kuitenkin yhtenä tulevaisuuden merkittävistä kasvumarkkinoista. Useissa Latinalaisen Amerikan maissa on teollisuutta, joka hyödyntää luonnonvaroja ja tuottaa raaka-aineita sekä kotimaan että ulkomaiden markkinoille. Tällaisia tyypillisiä teollisuudenaloja Latinalaisessa Amerikassa ovat kaivos- ja metsäteollisuus sekä öljyn ja maakaasun tuotanto. Näiden teollisuudenalojen tuotantolaitteiden ja koneiden valmistusta ei Latinalaisessa Amerikassa juurikaan ole. Ne tuodaan yleensä Pohjois-Amerikasta ja Euroopasta. Tässä diplomityössä tutkitaan sähkömoottorien ja taajuusmuuttajien markkinapotentiaalia Latinalaisessa Amerikassa. Tutkimuksessa perehdytään Latinalaisen Amerikan maiden kansantalouksien tilaan sekä arvioidaan sähkömoottorien ja taajuusmuuttajien markkinoiden kokoa tullitilastojen avulla. Chilen kaivosteollisuudessa arvioidaan olevan erityistä potentiaalia. Diplomityössä selvitetään ostoprosessin kulkua Chilen kaivosteollisuudessa ja eri asiakastyyppien roolia siinä sekä tärkeimpiä päätöskriteerejä toimittaja- ja teknologiavalinnoissa.

Animals in an Urban Context. A Zooarchaeological study of the Medieval and Post-Medieval town of Turku

The aim of this study is to explore the role and importance of different animal species in Turku through an analysis of osteological data and documentary evidence. The osteological material used in this study is derived from two town plots in Turku dating from the 13th century to the 19th century. The osteological material deposited in Turku represents animals bred both in the town and in the surrounding landscape. Animal husbandry in SW-Finland can also be examined through a number of historical documents. The importance of animals in Turku and its hinterland are closely connected and therefore the roles of the animals in both urban and rural settings are examined. The study has revealed the complexity of the depositional patterns in medieval and post-medieval Turku. In the different areas of Turku, characteristic patterns in the osteological material and different deposit types were evident. These patterns are reflections of the activities and therefore of the lifestyles practiced in Turku. The results emphasise the importance of context- awareness in the study of material culture from archaeological sites. Both the zooarchaeological and historical sources indicate that cattle were important in animal husbandry in Turku from the Middle Ages up to the 19th century. Sheep were the second most common species. When taking into consideration the larger size of cattle, the dominance of these animals when it come to meat consumption seems clear even in those phases where sheep bones are more abundant. Pig is less abundant in the material than either cattle or sheep and their importance for subsistence was probably fairly modest, albeit constant. Goats were not abundant in the material. Most of the identified goat bones came from low utility body parts (e.g. skulls and lower extremities), but some amount of goat meat was also consumed. Wild species were of minor importance when it came to consumption practices in Turku. The changes in Turku’s animal husbandry patterns between the medieval and post medieval periods is reflected in the change in age of the animals slaughtered, which was part of a wider pattern seen in North- and Central Europe. More mature animals are also present in the assemblages. This pattern is related to the more pronounced importance of cattle as a manure producer and a draught animal as a result of the intensification of crop cultivation. This change seems to occur later in Finland than in the more Southerly regions, and indeed it did not necessarily take hold in all parts of the country.

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.

A Dependency Parsing Approach to Biomedical Text Mining

Biomedical research is currently facing a new type of challenge: an excess of information, both in terms of raw data from experiments and in the number of scientific publications describing their results. Mirroring the focus on data mining techniques to address the issues of structured data, there has recently been great interest in the development and application of text mining techniques to make more effective use of the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. This thesis describes research done in the broader scope of projects aiming to develop methods, tools and techniques for text mining tasks in general and for the biomedical domain in particular. The work described here involves more specifically the goal of extracting information from statements concerning relations of biomedical entities, such as protein-protein interactions. The approach taken is one using full parsing—syntactic analysis of the entire structure of sentences—and machine learning, aiming to develop reliable methods that can further be generalized to apply also to other domains. The five papers at the core of this thesis describe research on a number of distinct but related topics in text mining. In the first of these studies, we assessed the applicability of two popular general English parsers to biomedical text mining and, finding their performance limited, identified several specific challenges to accurate parsing of domain text. In a follow-up study focusing on parsing issues related to specialized domain terminology, we evaluated three lexical adaptation methods. We found that the accurate resolution of unknown words can considerably improve parsing performance and introduced a domain-adapted parser that reduced the error rate of theoriginal by 10% while also roughly halving parsing time. To establish the relative merits of parsers that differ in the applied formalisms and the representation given to their syntactic analyses, we have also developed evaluation methodology, considering different approaches to establishing comparable dependency-based evaluation results. We introduced a methodology for creating highly accurate conversions between different parse representations, demonstrating the feasibility of unification of idiverse syntactic schemes under a shared, application-oriented representation. In addition to allowing formalism-neutral evaluation, we argue that such unification can also increase the value of parsers for domain text mining. As a further step in this direction, we analysed the characteristics of publicly available biomedical corpora annotated for protein-protein interactions and created tools for converting them into a shared form, thus contributing also to the unification of text mining resources. The introduced unified corpora allowed us to perform a task-oriented comparative evaluation of biomedical text mining corpora. This evaluation established clear limits on the comparability of results for text mining methods evaluated on different resources, prompting further efforts toward standardization. To support this and other research, we have also designed and annotated BioInfer, the first domain corpus of its size combining annotation of syntax and biomedical entities with a detailed annotation of their relationships. The corpus represents a major design and development effort of the research group, with manual annotation that identifies over 6000 entities, 2500 relationships and 28,000 syntactic dependencies in 1100 sentences. In addition to combining these key annotations for a single set of sentences, BioInfer was also the first domain resource to introduce a representation of entity relations that is supported by ontologies and able to capture complex, structured relationships. Part I of this thesis presents a summary of this research in the broader context of a text mining system, and Part II contains reprints of the five included publications.

Opinion Mining

In this thesis we study the field of opinion mining by giving a comprehensive review of the available research that has been done in this topic. Also using this available knowledge we present a case study of a multilevel opinion mining system for a student organization's sales management system. We describe the field of opinion mining by discussing its historical roots, its motivations and applications as well as the different scientific approaches that have been used to solve this challenging problem of mining opinions. To deal with this huge subfield of natural language processing, we first give an abstraction of the problem of opinion mining and describe the theoretical frameworks that are available for dealing with appraisal language. Then we discuss the relation between opinion mining and computational linguistics which is a crucial pre-processing step for the accuracy of the subsequent steps of opinion mining. The second part of our thesis deals with the semantics of opinions where we describe the different ways used to collect lists of opinion words as well as the methods and techniques available for extracting knowledge from opinions present in unstructured textual data. In the part about collecting lists of opinion words we describe manual, semi manual and automatic ways to do so and give a review of the available lists that are used as gold standards in opinion mining research. For the methods and techniques of opinion mining we divide the task into three levels that are the document, sentence and feature level. The techniques that are presented in the document and sentence level are divided into supervised and unsupervised approaches that are used to determine the subjectivity and polarity of texts and sentences at these levels of analysis. At the feature level we give a description of the techniques available for finding the opinion targets, the polarity of the opinions about these opinion targets and the opinion holders. Also at the feature level we discuss the various ways to summarize and visualize the results of this level of analysis. In the third part of our thesis we present a case study of a sales management system that uses free form text and that can benefit from an opinion mining system. Using the knowledge gathered in the review of this field we provide a theoretical multi level opinion mining system (MLOM) that can perform most of the tasks needed from an opinion mining system. Based on the previous research we give some hints that many of the laborious market research tasks that are done by the sales force, which uses this sales management system, can improve their insight about their partners and by that increase the quality of their sales services and their overall results.

Analysis of patterns in mining time series using Qlucore

Raw measurement data does not always immediately convey useful information, but applying mathematical statistical analysis tools into measurement data can improve the situation. Data analysis can offer benefits like acquiring meaningful insight from the dataset, basing critical decisions on the findings, and ruling out human bias through proper statistical treatment. In this thesis we analyze data from an industrial mineral processing plant with the aim of studying the possibility of forecasting the quality of the final product, given by one variable, with a model based on the other variables. For the study mathematical tools like Qlucore Omics Explorer (QOE) and Sparse Bayesian regression (SB) are used. Later on, linear regression is used to build a model based on a subset of variables that seem to have most significant weights in the SB model. The results obtained from QOE show that the variable representing the desired final product does not correlate with other variables. For SB and linear regression, the results show that both SB and linear regression models built on 1-day averaged data seriously underestimate the variance of true data, whereas the two models built on 1-month averaged data are reliable and able to explain a larger proportion of variability in the available data, making them suitable for prediction purposes. However, it is concluded that no single model can fit well the whole available dataset and therefore, it is proposed for future work to make piecewise non linear regression models if the same available dataset is used, or the plant to provide another dataset that should be collected in a more systematic fashion than the present data for further analysis.

Corporate Social Responsibility in Global Mining Industry

Corporate Social Responsibility is company’s interest and actions towards its environment and the society that the company takes from its free will, to give back to the community and environment. Corporate Social Responsibility is current topic as companies are challenged to take responsibility for their action, due to the constant tightening environmental legislations and raising pressure for transparency from the public. The objective of this Master’s Thesis research is to study if Corporate Social Responsibility affects suppliers’ brand image and mining companies’ buying decisions within global mining industry. The research method is qualitative and the research is conducted with secondary and primary research methods. The research aims to find out what are the implications of the research for the case company Larox. The objective is to answer to the question; how should case company Larox start to develop Corporate Social Responsibility (CSR) program of its own, and how the case company could benefit from CSR as a competitive advantage and what actions could be taken in the company marketing. Conclusions are drawn based on both the secondary and primary research results. Both of the researches imply that CSR is well present in the global mining industry, and that suppliers’ CSR policy has positive effect on company image, which positively affects company’s brand, and furthermore brand has a positive effect on mining companies buying decision. It can be concluded that indirectly CSR has an effect on buying decisions, and case company should consider developing a CSR program of its own.

Mining in Developing Countries: A Case Study of Sustainability Challenges

Mining has severe impacts on its surrounding. Particularly in the developing countries it has degraded the environment and signigicantly altered the socio-economical dynamics of the hosts. Especially relocation disrupts people from their homes, livelihoods, cultures and social activities. Mining industry has failed to develop the local host and streghten its governance structures; instead it has further degraded the development of mineral rich third world countries, which are among the world poorest ones. Cash flows derived from mining companies have not benefitted the crass-root level that however, bears most of the detrimental impacts. Especially if the governance structure of the host is weak, the sudden wealth is likely to accelerate disparities, corruption and even fuel wars. Environmental degradation, miscommunication, mistrust and disputes over land use have created conflicts between the communities and a mining company in Obuasi, Ghana; a case study of this thesis. The disputes are deeply rooted and further fuelled by unrealistic expectations and broken promises. The relations with artisanal and illegal miners have been especially troublesome. Illegal activities, mainly encroachment of the land and assets of the mine, such as vandalising tailings pipes have resulted in profits losses, environmental degradation and security hazards. All challenges mentioned above have to be addressed locally with site-specific solutions. It is vital to increase two-way communication, initiate collaboration and build capacity of the stakeholders such as local communities, NGOs and governance authorities. The locals must be engaged to create livelihood opportunities that are designed with and for them. Capacity can also be strengthened through education and skills training, such as women’s literacy programs. In order to diminish the overdependence of locals to the mine, the activities have to be self -sufficient and able to survive without external financial and managerial inputs. Additionally adequate and fair compensation practises and dispute resolution methods that are understood and accepted by all parties have to be agreed on as early as possible.

[Bach goes to town]

Soitinnus: orkesteri.

Evaluating multidimensional visualization techniques in data mining tasks

Visual data mining (VDM) tools employ information visualization techniques in order to represent large amounts of high-dimensional data graphically and to involve the user in exploring data at different levels of detail. The users are looking for outliers, patterns and models – in the form of clusters, classes, trends, and relationships – in different categories of data, i.e., financial, business information, etc. The focus of this thesis is the evaluation of multidimensional visualization techniques, especially from the business user’s perspective. We address three research problems. The first problem is the evaluation of projection-based visualizations with respect to their effectiveness in preserving the original distances between data points and the clustering structure of the data. In this respect, we propose the use of existing clustering validity measures. We illustrate their usefulness in evaluating five visualization techniques: Principal Components Analysis (PCA), Sammon’s Mapping, Self-Organizing Map (SOM), Radial Coordinate Visualization and Star Coordinates. The second problem is concerned with evaluating different visualization techniques as to their effectiveness in visual data mining of business data. For this purpose, we propose an inquiry evaluation technique and conduct the evaluation of nine visualization techniques. The visualizations under evaluation are Multiple Line Graphs, Permutation Matrix, Survey Plot, Scatter Plot Matrix, Parallel Coordinates, Treemap, PCA, Sammon’s Mapping and the SOM. The third problem is the evaluation of quality of use of VDM tools. We provide a conceptual framework for evaluating the quality of use of VDM tools and apply it to the evaluation of the SOM. In the evaluation, we use an inquiry technique for which we developed a questionnaire based on the proposed framework. The contributions of the thesis consist of three new evaluation techniques and the results obtained by applying these evaluation techniques. The thesis provides a systematic approach to evaluation of various visualization techniques. In this respect, first, we performed and described the evaluations in a systematic way, highlighting the evaluation activities, and their inputs and outputs. Secondly, we integrated the evaluation studies in the broad framework of usability evaluation. The results of the evaluations are intended to help developers and researchers of visualization systems to select appropriate visualization techniques in specific situations. The results of the evaluations also contribute to the understanding of the strengths and limitations of the visualization techniques evaluated and further to the improvement of these techniques.

Pohjoiset maisemat : "Eurooppalaisen maisemayleissopimuksen toteuttaminen Pohjois-Kalotin kunnissa" - Konferenssi Inarissa 7.-9.9.2011

Kansainvälinen Eurooppalaisen maisemayleissopimuksen tavoitteiden saavuttamista edistävä konferenssi järjestettiin Inarissa 7.-9.9.2011. Konferenssissa käsiteltiin maisemasopimuksen tavoitteita, tarpeita ja mahdollisuuksia Pohjois-Kalotin alueella. Tähän raporttiin on koottu konferenssissa esiintyneiden asiantuntijoiden laatimat artikkelit aiheesta. Raportin toivotaan helpottavan alueiden käytön suunnittelijoita käytännön työssään ja rohkaisevan kuntia toteuttamaan tulevaisuuden suunnittelua Eurooppalaisen maisemayleissopimuksen tavoitteiden mukaisesti. Raportti on saatavissa viidellä eri kielellä: suomeksi, ruotsiksi, norjaksi, pohjoissaameksi ja englanniksi. Pohjois-Kalotin aluetta yhdistää yhteinen tunnusomainen maisema. Saamelaiskulttuurin sekä poronhoidon muovaamat tunturimaisemat ja upeat jokivarsimaisemat heijastuvat ympäristössä laaja-alaisesti. Alueen maisemalle haasteita tuovat sen moninaiset maankäyttömuodot ja elinkeinot, kuten matkailu, kaivosteollisuus ja energiantuotanto. Arvokkaiden maisemapiirteiden säilyttäminen vaatii erityistä tuntemusta ja tietämystä alueen kunnissa. Maisemansuojelua ja -hoitoa toteutetaan alueiden- ja maankäytön suunnittelun kautta, pääasiallisesti kaavoituksella ja maisemanhoitosuunnitelmilla. Pohjois-Kalotin alueen kunnissa on erilaiset osin toisistaan poikkeavat toimintatavat ja käytännöt maisemanhoidossa. Kuitenkin alueen asukkailla on yhtäläisiä intressejä elinympäristönsä suojeluun ja säilyttämiseen. Maisema nähdään vetovoimatekijänä, jota ei haluta menettää. Lisääntyvät maankäyttötarpeet kunnissa luovat tarpeen entistä moniulotteisemmalle suunnittelulle. Paikallisten tahojen osallistaminen suunnitteluprosesseihin aikaisessa vaiheessa ja monimuotoinen vuorovaikutus, niin toimijoiden, kansalaisten kuin viranomaisten välillä vähentää konfliktien muodostumista. Tutkimustiedon tehokkaampi hyödyntäminen ja valtiorajat ylittävä yhteistyö helpottaa päätöksentekoa ja luo yhteisiä linjoja maisemansuojelutyöhön. Yhteiset kokemukset, käytännöt ja tietotaidon jakaminen sekä laajemman maisemakokonaisuuden hahmottaminen parantaa eurooppalaisen maisemayleissopimuksen tavoitteiden toteutumista. Työn jatkuvuuden varmistamiseksi Pohjois-Kalotin alueelle suunnitellaan perustettavaksi maisemayhteistyöryhmä, jonka tehtävä on maisemapolitiikan kehittäminen ja eteenpäin vieminen.

Northern Landscapes : ʻʻImplementation of the European Landscape Convention In the North Calotte Area Municipalitiesʼʼ - Conference in Inari, Finland 7-9.9.2011

The conference promoting the objectives of the international European Landscape Convention (ELC) was held on 7-9 September 2011 in Inari. The primary aim of the conference was to increase awareness of the ELC and the prospects and requirements it brings to practical planning work, especially at the municipal level. The conference speakers included top experts from Sweden, Norway, Finland, France, Holland and Catalonia. This report is a collection of articles written by the experts in the ELC conference. The report is available in five languages: Finnish, Swedish, Norwegian, Northern Sámi and English. The common characteristics of the North Calotte area, such as the magnificent riverside scenery and the beautiful fell landscapes formed by the Sámi culture and reindeer management are broadly reflected in the environment. Alongside the traditional forms of land use, many other livelihoods and forms of land use now need to be accommodated in the area. Tourism, energy production, mining industry and new infrastructure create new and manifold challenges to the authorities in charge of land use in these areas. Municipalities need information and support for versatile planning in the future, so that the unique and valuable characteristics of the North can be preserved. Landscape protection and management in the landscape areas is executed through areal and land use planning, mainly through town planning and the creation of landscape management plans. The municipalities in the North Calotte region have their own partly divergent methods and practices, based on the various land use processes are executed. The municipalities and inhabitants have a great interest in preserving and protecting their living environment and maintaining and increasing the appeal of the area. Landscape is viewed as one of the most significant appealing factors that cannot be lost. The increasing land use in municipalities, for example due to energy production, mining industry and increasing tourism, create a need for more multidimensional planning. The reconciliation of the wishes of different interest groups, and traditional and new livelihoods will not be easy. Conflict is inevitable. This will lead to a greater need to engage local bodies to the planning processes right from the start of the projects. Close cooperation between different administrative branches, operators, local bodies and landscape research promote the objectives of the convention. To ensure that the work continues, a landscape co-operation group is planned to be established in the North Calotte area. It´s main task is to promote and develop landscape policy in the area.

Landskapet i nord : ”Gjennomføring av Den europeiska Landskapskonvensjonen i kommunene på Nord-Kalotten” – Konferansen 7.-9. 9.2011, Enare, Finland

Kansainvälinen Eurooppalaisen maisemayleissopimuksen tavoitteiden saavuttamista edistävä konferenssi järjestettiin Inarissa 7.-9.9.2011. Konferenssissa käsiteltiin maisemasopimuksen tavoitteita, tarpeita ja mahdollisuuksia Pohjois-Kalotin alueella. Tähän raporttiin on koottu konferenssissa esiintyneiden asiantuntijoiden laatimat artikkelit aiheesta. Raportin toivotaan helpottavan alueiden käytön suunnittelijoita käytännön työssään ja rohkaisevan kuntia toteuttamaan tulevaisuuden suunnittelua Eurooppalaisen maisemayleissopimuksen tavoitteiden mukaisesti. Raportti on saatavissa viidellä eri kielellä: suomeksi, ruotsiksi, norjaksi, pohjoissaameksi ja englanniksi. Pohjois-Kalotin aluetta yhdistää yhteinen tunnusomainen maisema. Saamelaiskulttuurin sekä poronhoidon muovaamat tunturimaisemat ja upeat jokivarsimaisemat heijastuvat ympäristössä laaja-alaisesti. Alueen maisemalle haasteita tuovat sen moninaiset maankäyttömuodot ja elinkeinot, kuten matkailu, kaivosteollisuus ja energiantuotanto. Arvokkaiden maisemapiirteiden säilyttäminen vaatii erityistä tuntemusta ja tietämystä alueen kunnissa. Maisemansuojelua ja -hoitoa toteutetaan alueiden- ja maankäytön suunnittelun kautta, pääasiallisesti kaavoituksella ja maisemanhoitosuunnitelmilla. Pohjois-Kalotin alueen kunnissa on erilaiset osin toisistaan poikkeavat toimintatavat ja käytännöt maisemanhoidossa. Kuitenkin alueen asukkailla on yhtäläisiä intressejä elinympäristönsä suojeluun ja säilyttämiseen. Maisema nähdään vetovoimatekijänä, jota ei haluta menettää. Lisääntyvät maankäyttötarpeet kunnissa luovat tarpeen entistä moniulotteisemmalle suunnittelulle. Paikallisten tahojen osallistaminen suunnitteluprosesseihin aikaisessa vaiheessa ja monimuotoinen vuorovaikutus, niin toimijoiden, kansalaisten kuin viranomaisten välillä vähentää konfliktien muodostumista. Tutkimustiedon tehokkaampi hyödyntäminen ja valtiorajat ylittävä yhteistyö helpottaa päätöksentekoa ja luo yhteisiä linjoja maisemansuojelutyöhön. Yhteiset kokemukset, käytännöt ja tietotaidon jakaminen sekä laajemman maisemakokonaisuuden hahmottaminen parantaa eurooppalaisen maisemayleissopimuksen tavoitteiden toteutumista. Työn jatkuvuuden varmistamiseksi Pohjois-Kalotin alueelle suunnitellaan perustettavaksi maisemayhteistyöryhmä, jonka tehtävä on maisemapolitiikan kehittäminen ja eteenpäin vieminen.