Methods of Telecommunication Technology Forecasting

This master's thesis coversthe concepts of knowledge discovery, data mining and technology forecasting methods in telecommunications. It covers the various aspects of knowledge discoveryin data bases and discusses in detail the methods of data mining and technologyforecasting methods that are used in telecommunications. Main concern in the overall process of this thesis is to emphasize the methods that are being used in technology forecasting for telecommunications and data mining. It tries to answer to some extent to the question of do forecasts create a future? It also describes few difficulties that arise in technology forecasting. This thesis was done as part of my master's studies in Lappeenranta University of Technology.

Asiakkuudenhallinnan tukeminen neuroverkkoteknologian avulla

CRM on yritysten tietojärjestelmä, jolla voidaan tukea asiakkuuden hallintaa ja kehittämistä. Monilla suuryrityksillä on paljon asiakkaita ja niiden on mahdotonta tunnistaa asiakkaitaan yksilöinä. Kuitenkin asiakkaat arvostavat yhä enemmän henkilökohtaista palvelua ja kontakteja. Yritysten asiakastietokantoihin kertyy runsaasti tietoa asiakkaista ja heidän ostokäyttäytymisestään. Suuresta informaatiomäärästä johtuen tarvitaan kehittynyttä tietotekniikkaa asiakkaiden tyypittelyyn ja asiakastarpeiden tunnistamiseen. Tässä diplomityössä kehitetään neuroCRM-teoriaa määrällisesti suuren ja monimutkaisen asiakasinformaation hallintaan. Teoria perustuu itseorganisoituvien neuroverkkojen käyttöön asiakasinformaation analysoimiseksi CRM-järjestelmässä. Asiakkaat segmentoidaan ja personoidaan iteratiivisia SOM-analyysejä suorittamalla. Tulosten perusteella kehitetään asiakkaiden yksilöllisyyttä huomioivia markkinointikeinoja ja käytetään uusia kanavia, esimerkiksi mobiilia viestintätekniikkaa asiakkaiden tavoittamiseen. Asiakaskannattavuuden parantamiseksi voi- daan tehdä strategisia valintoja ja päätöksiä markkinoinnin kohdentamista varten.

Methods for assessing the sustainability of integrated municipal waste management and

The general striving to bring down the number of municipal landfills and to increase the reuse and recycling of waste-derived materials across the EU supports the debates concerning the feasibility and rationality of waste management systems. Substantial decrease in the volume and mass of landfill-disposed waste flows can be achieved by directing suitable waste fractions to energy recovery. Global fossil energy supplies are becoming more and more valuable and expensive energy sources for the mankind, and efforts to save fossil fuels have been made. Waste-derived fuels offer one potential partial solution to two different problems. First, waste that cannot be feasibly re-used or recycled is utilized in the energy conversion process according to EU’s Waste Hierarchy. Second, fossil fuels can be saved for other purposes than energy, mainly as transport fuels. This thesis presents the principles of assessing the most sustainable system solution for an integrated municipal waste management and energy system. The assessment process includes: · formation of a SISMan (Simple Integrated System Management) model of an integrated system including mass, energy and financial flows, and · formation of a MEFLO (Mass, Energy, Financial, Legislational, Other decisionsupport data) decision matrix according to the selected decision criteria, including essential and optional decision criteria. The methods are described and theoretical examples of the utilization of the methods are presented in the thesis. The assessment process involves the selection of different system alternatives (process alternatives for treatment of different waste fractions) and comparison between the alternatives. The first of the two novelty values of the utilization of the presented methods is the perspective selected for the formation of the SISMan model. Normally waste management and energy systems are operated separately according to the targets and principles set for each system. In the thesis the waste management and energy supply systems are considered as one larger integrated system with one primary target of serving the customers, i.e. citizens, as efficiently as possible in the spirit of sustainable development, including the following requirements: · reasonable overall costs, including waste management costs and energy costs; · minimum environmental burdens caused by the integrated waste management and energy system, taking into account the requirement above; and · social acceptance of the selected waste treatment and energy production methods. The integrated waste management and energy system is described by forming a SISMan model including three different flows of the system: energy, mass and financial flows. By defining the three types of flows for an integrated system, the selected factor results needed in the decision-making process of the selection of waste management treatment processes for different waste fractions can be calculated. The model and its results form a transparent description of the integrated system under discussion. The MEFLO decision matrix has been formed from the results of the SISMan model, combined with additional data, including e.g. environmental restrictions and regional aspects. System alternatives which do not meet the requirements set by legislation can be deleted from the comparisons before any closer numerical considerations. The second novelty value of this thesis is the three-level ranking method for combining the factor results of the MEFLO decision matrix. As a result of the MEFLO decision matrix, a transparent ranking of different system alternatives, including selection of treatment processes for different waste fractions, is achieved. SISMan and MEFLO are methods meant to be utilized in municipal decision-making processes concerning waste management and energy supply as simple, transparent and easyto- understand tools. The methods can be utilized in the assessment of existing systems, and particularly in the planning processes of future regional integrated systems. The principles of SISMan and MEFLO can be utilized also in other environments, where synergies of integrating two (or more) systems can be obtained. The SISMan flow model and the MEFLO decision matrix can be formed with or without any applicable commercial or free-of-charge tool/software. SISMan and MEFLO are not bound to any libraries or data-bases including process information, such as different emission data libraries utilized in life cycle assessments.

Kansainvälisen valuuttarahaston (IMF) julkaisut

International Monetary Fund (IMF) eli Kansainvälinen valuuttarahasto perustettiin v. 1945 valvomaan 187 jäsenmaansa rahoitusjärjestelmiä ja edistämään rahoitusmarkkinoiden vakautta ja kansainvälistä kauppaa. IMF julkaisee kansainvälisiä maksutasetilastoja n. 200 maasta, ulkomaankaupan tilastotietoa, aikasarjoja v. 1948 lähtien ja valtiontalouden rahoitustilastoja sekä maakohtaisia raportteja. Painettuun kokoelmaan kuuluu vuosikertomuksia, kausijulkaisuja, tilastoja ja monografioita. Ne käsittelevät makrotaloutta, taloudellista kehitystä, rahoitusmarkkinoita, kansainvälistä taloutta ja valuuttamarkkinoita. Kokoelmassa on yhteensä n. 4342 nimekettä ja se karttuu jatkuvasti. Kokoelman vanhin julkaisu on vuodelta 1944. Suurin osa kokoelman julkaisuista on ilmestynyt v. 1995 - 2011. Sitä uudempia ei ole enää hankittu painettuina. Kokoelmaan kuuluu erilaisia vuosikirjoja pitkältä ajanjaksolta, kuten Annual report (1948 -), Annual Report on Exchange Arrangements (1990 -), Balance of payments statistics yearbook (1938 - ), Direction of trade statistics yearbook (1958 - ), Government finance statistics yearbook (1952 - ) ja International financial statistics yearbook (1991 - ). Kokoelma sisältää myös kausijulkaisuja kuten Economic review (1951 - ), IMF staff papers (1951 -) ja International financial statistics (1948 -). Kokoelmaan kuuluvat myös elektronisia julkaisuja sisältävät IMF E-Library ja AREAER -tietokannat. AREAR-tietokannassa on Annual Report on Exchange Arrangements -julkaisut sähköisessä muodossa. Tietokannassa on dataa mm. IMF:n jäsenmaiden valuutta- ja kauppajärjestelyistä. IMF E-Library, sisältää elektronisia julkaisuja sekä tilastotietokannat: International financial statistics (IFS), Balance of payments statistics (BOP), Direction of trade statistics (DOT) ja Government finance statistics (GFS). Julkaisuja on yhteensä n. 11 806. Kokoelman uudempaa osaa säilytetään Suomen Pankin kirjaston avokokoelmassa ja vanhempaa varastokokoelmassa. Painetut julkaisut ovat käytettävissä kirjastossa ja lainattavissa lukuun ottamatta tilastojulkaisuja, kausijulkaisuja ja vuosikirjoja. Elektronisia tietokantoja voi käyttää vain organisaation henkilökunta.

Intellectual Property Protection in China in the Cases of Outsourcing and own Manufacturing

The intellectual property (IP) environment in China is still very immature. There are several problems in legal, political, economic, social-cultural, competitive and labor environment which have hindered IP legal enforcement. Under such circumstances, IP misappropriation is a major concern especially for foreign small and medium-sized enterprises (SMEs) doing business in China. These circumstances require foreign companies, no matter whether they are multinational corporations (MNCs) or SMEs and have own manufacturing in China or not, to take strong IP actions. Therefore, the purpose of this study is to discuss how IP can be protected in China in the case of outsourcing and in the case of own manufacturing. The comparison will consider the process of outsourcing and own manufacturing consisting two stages: preparation stage and operation stage. In order to clarify the conceptual arguments, two illustrative case studies were studied. The case data bases on two semi-structured interviews of the managing directors, field notes and archival data. The findings propose that attention in IP protection should be given to following issues: integrating IP strategy into the company’s business strategy, protecting the most critical knowledge, regarding IP steps as a whole in the protection mechanism and making IP strategy as proactive as possible. The major difference between outsourcing and own manufacturing in IP protection is in the operation stage. Besides, the findings also provide managerial advice on IP protection, e.g. foreign managers should be prepared for IP risks in China, they should establish an own IP protection mechanism which matches the company’s situation and they should consider IP protection as an on-going process.

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.