811 resultados para Recommended Systems, Collaborative Filtering, Customization, Distributed Recommender


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The Extended Kalman Filter (EKF) and four dimensional assimilation variational method (4D-VAR) are both advanced data assimilation methods. The EKF is impractical in large scale problems and 4D-VAR needs much effort in building the adjoint model. In this work we have formulated a data assimilation method that will tackle the above difficulties. The method will be later called the Variational Ensemble Kalman Filter (VEnKF). The method has been tested with the Lorenz95 model. Data has been simulated from the solution of the Lorenz95 equation with normally distributed noise. Two experiments have been conducted, first with full observations and the other one with partial observations. In each experiment we assimilate data with three-hour and six-hour time windows. Different ensemble sizes have been tested to examine the method. There is no strong difference between the results shown by the two time windows in either experiment. Experiment I gave similar results for all ensemble sizes tested while in experiment II, higher ensembles produce better results. In experiment I, a small ensemble size was enough to produce nice results while in experiment II the size had to be larger. Computational speed is not as good as we would want. The use of the Limited memory BFGS method instead of the current BFGS method might improve this. The method has proven succesful. Even if, it is unable to match the quality of analyses of EKF, it attains significant skill in forecasts ensuing from the analysis it has produced. It has two advantages over EKF; VEnKF does not require an adjoint model and it can be easily parallelized.

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The activated sludge process - the main biological technology usually applied towastewater treatment plants (WWTP) - directly depends on live beings (microorganisms), and therefore on unforeseen changes produced by them. It could be possible to get a good plant operation if the supervisory control system is able to react to the changes and deviations in the system and can take thenecessary actions to restore the system’s performance. These decisions are oftenbased both on physical, chemical, microbiological principles (suitable to bemodelled by conventional control algorithms) and on some knowledge (suitable to be modelled by knowledge-based systems). But one of the key problems in knowledge-based control systems design is the development of an architecture able to manage efficiently the different elements of the process (integrated architecture), to learn from previous cases (spec@c experimental knowledge) and to acquire the domain knowledge (general expert knowledge). These problems increase when the process belongs to an ill-structured domain and is composed of several complex operational units. Therefore, an integrated and distributed AIarchitecture seems to be a good choice. This paper proposes an integrated and distributed supervisory multi-level architecture for the supervision of WWTP, that overcomes some of the main troubles of classical control techniques and those of knowledge-based systems applied to real world systems

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The objective of the thesis is to enhance the understanding about the management of the front end phases of the innovation process in a networked environment. The thesis approaches the front end of innovation from three perspectives, including the strategy, processes and systems of innovation. The purpose of the use of different perspectives in the thesis is that of providing an extensive systemic view of the front end, and uncovering the complex nature of innovation management. The context of the research is the networked operating environment of firms. The unit of analysis is the firm itself or its innovation processes, which means that this research approaches the innovation networks from the point of view of a firm. The strategy perspective of the thesis emphasises the importance of purposeful innovation management, the innovation strategy of firms. The role of innovation processes is critical in carrying out innovation strategies in practice, supporting the development of organizational routines for innovation, and driving the strategic renewal of companies. The primary focus of the thesis from systems perspective is on idea management systems, which are defined as a part of innovation management systems, and defined for this thesis as any working combination of methodology and tools (manual or IT-supported) that enhance the management of innovations within their early phases. The main contribution of the thesis are the managerial frameworks developed for managing the front end of innovation, which purposefully “wire” the front end of innovation into the strategy and business processes of a firm. The thesis contributes to modern innovation management by connecting the internal and external collaboration networks as foundational elements for successful management of the early phases of innovation processes in a dynamic environment. The innovation capability of a firm is largely defined by its ability to rely on and make use of internal and external collaboration already during the front end activities, which by definition include opportunity identification and analysis, idea generation, profileration and selection, and concept definition. More specifically, coordination of the interfaces between these activities, and between the internal and external innovation environments of a firm is emphasised. The role of information systems, in particular idea management systems, is to support and delineate the innovation-oriented behaviour and interaction of individuals and organizations during front end activities. The findings and frameworks developed in the thesis can be used by companies for purposeful promotion of their front end processes. The thesis provides a systemic strategy framework for managing the front end of innovation – not as a separate process, but as an elemental bundle ofactivities that is closely linked to the overall innovation process and strategy of a firm in a distributed environment. The theoretical contribution of the thesis relies on the advancement of the open innovation paradigm in the strategic context of a firm within its internal and external innovation environments. This thesis applies the constructive research approach and case study methodology to provide theoretically significant results, which are also practically beneficial.

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This study examines Smart Grids and distributed generation, which is connected to a single-family house. The distributed generation comprises small wind power plant and solar panels. The study is done from the consumer point of view and it is divided into two parts. The first part presents the theoretical part and the second part presents the research part. The theoretical part consists of the definition of distributed generation, wind power, solar energy and Smart Grids. The study examines what the Smart Grids will enable. New technology concerning Smart Grids is also examined. The research part introduces wind and sun conditions from two countries. The countries are Finland and Germany. According to the wind and sun conditions of these two countries, the annual electricity production from wind power plant and solar panels will be calculated. The costs of generating electricity from wind and solar energy are calculated from the results of annual electricity productions. The study will also deal with feed-in tariffs, which are supporting systems for renewable energy resources. It is examined in the study, if it is cost-effective for the consumers to use the produced electricity by themselves or sell it to the grid. Finally, figures for both countries are formed. The figures include the calculated cost of generating electricity from wind power plant and solar panels, retail and wholesale prices and feed-in tariffs. In Finland, it is not cost-effective to sell the produced electricity to the grid, before there are support systems. In Germany, it is cost-effective to sell the produced electricity from solar panels to the grid because of feed-in tariffs. On the other hand, in Germany it is cost-effective to produce electricity from wind to own use because the retail price is higher than the produced electricity from wind.

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Workflow management systems aim at the controlled execution of complex application processes in distributed and heterogeneous environments. These systems will shape the structure of information systems in business and non-business environments. E business and system integration is a fertile soil for WF and groupware tools. This thesis aims to study WF and groupware tools in order to gather in house knowledge of WF to better utilize WF solutions in future, and to focus on SAP Business Workflow in order to find a global solution for Application Link Enabling support for system integration. Piloting this solution in Nokia collects the experience of SAP R/3 WF tool for other development projects in future. The literary part of this study will guide to the world of business process automation providing a general description of the history, use and potentials of WF & groupware software. The empirical part of this study begins with the background of the case study describing the IT environment initiating the case by introducing SAP R/3 in Nokia, the communication technique in use and WF tool. Case study is focused in one solution with SAP Business Workflow. This study provides a concept to monitor communication between ERP systems and to increase the quality of system integration. Case study describes a way create support model for ALE/EDI interfaces. Support model includes monitoring organization and the workflow processes to solve the most common IDoc related errors.

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This thesis is a preliminary study targeting South-Eastern Finland. The objective was to find out the financial and functional readiness and willingness of the small and medium-sized enterprises of the region to manufacture and sell distributed bioenergy solutions collaboratively as a business network. In this case these solutions mean small-scale (0.5 - 3 MW) woodchips-operated combined heat and power (CHP) plants. South-Eastern Finland has suffered from a decline in the recent years, mostly due to the problems of the traditionally strong industrial know-how area of the region, the paper industry. Local small and medium-sized companies will have to find new ways to survive the toughening competition. A group of 40 companies from suitable industries were selected and financial and comparative analysis was performed on them. Additionally 19 managing directors of the companies were selected for an interview to find out their views on networking, its requirements, advantages and the general interest in it. The studied companies were found to be generally in fairly good financial condition and in that sense, fit for networking activities. The interviews revealed that the companies were capable of producing all the needed elements for the plants in question, and the managers appeared to be very interested in and have a positive attitude towards such business networks. Thus it can be said that the small and medium-sized companies of the region are capable of and interested in manufacturing small bio-CHP plants as a production network.

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The aim of this study was to characterize the spatial variability of soil bulk density (Bd), soil moisture content (θ) and total porosity (Tp) in two management systems of sugarcane harvesting, with or without burning, in a Haplustox soil, in the 0-0.20 m layer. The study area is located in Rio Brilhante, state of Mato Grosso do Sul, Brazil, in Eldorado Sugar Mill. The plots have presented 180 m length, and 145.6 m width, totaling 90 points distributed in the form of a grid of nine rows by ten columns, with points spaced 20 m from its neighbor. Soil samples were collected at 0-0.20 m layer in 2007/2008 and 2008/2009 crops. The harvest with burning system had a higher density compared to mechanized harvest, in the two study periods. The moisture content as well as the porosity increased proportionally with the decrease of the density of the harvest burning system compared to the mechanized.

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Suositusmenetelmien tarkoituksena on auttaa käyttäjää löytämään häntä kiinnostavia asioita ja välttämään asioita, joista hän ei pitäisi. Suositusmenetelmät antavat suosituk- set yleensä terävinä lukuina. Tässä työssä kehitetään suositusmenetelmä, joka antaa suo- situkset arvosanojen sumeina jäsenyysasteina. Menetelmän antamat suositukset voidaan myös perustella käyttäjälle. Menetelmä kuuluu pääosin yhteisösuodatusmenetelmiin, jois- sa suositukset tehdään käyttäjien antamien arvosanojen perusteella, mutta myös tietoa elokuvien tyylilajeista hyödynnetään suositustarkkuuden parantamiseksi. Sumeiden suo- situsten suositeltavuusjärjestyksen laskemiseen esitetään myös menetelmä. Käyttäjien elokuville antamat arvosanat voidaan käsittää sumeana datana. Käyttäjä voi kuvata arvosanaa esimerkiksi ilmaisulla ”noin 4”. Tästä syystä on loogista esittää suo- situksetkin sumeina lukuina. Tällöin käyttäjälle voidaan antaa tietoa suosituksen tark- kuudesta ja mahdollisista ristiriidoista. Epävarmojen suositusten tapauksessa käyttäjä voi painottaa enemmän muita tietolähteitä. Kokeiden perusteella kehitetty menetelmä antaa joissa tapauksissa selvästi vertailtavia menetelmiä parempia suosituksia, kun taas toisissa tapauksissa suositukset ovat selvästi heikompia.

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Unsuccessful mergers are unfortunately the rule rather than the exception. Therefore it is necessary to gain an enhanced understanding of mergers and post-merger integrations (PMI) as well as learning more about how mergers and PMIs of information systems (IS) and people can be facilitated. Studies on PMI of IS are scarce and public sector mergers are even less studied. There is nothing however to indicate that public sector mergers are any more successful than those in the private sector. This thesis covers five studies carried out between 2008 and 2011 in two organizations in higher education that merged in January 2010. The most recent study was carried out two years after the new university was established. The longitudinal case-study focused on the administrators and their opinions of the IS, the work situation and the merger in general. These issues were investigated before, during and after the merger. Both surveys and interviews were used to collect data, to which were added documents that both describe and guide the merger process; in this way we aimed at a triangulation of findings. Administrators were chosen as the focus of the study since public organizations are highly dependent on this staff category, forming the backbone of the organization and whose performance is a key success factor for the organization. Reliable and effective IS are also critical for maintaining a functional and effective organization, and this makes administrators highly dependent on their organizations’ IS for the ability to carry out their duties as intended. The case-study has confirmed the administrators’ dependency on IS that work well. A merger is likely to lead to changes in the IS and the routines associated with the administrators’ work. Hence it was especially interesting to study how the administrators viewed the merger and its consequences for IS and the work situation. The overall research objective is to find key issues for successful mergers and PMIs. The first explorative study in 2008 showed that the administrators were confident of their skills and knowledge of IS and had no fear of having to learn new IS due to the merger. Most administrators had an academic background and were not anxious about whether IS training would be given or not. Before the merger the administrators were positive and enthusiastic towards the merger and also to the changes that they expected. The studies carried out before the merger showed that these administrators were very satisfied with the information provided about the merger. This information was disseminated through various channels and even negative information and postponed decisions were quickly distributed. The study conflicts with the theories that have found that resistance to change is inevitable in a merger. Shortly after the merger the (third) study showed disappointment with the fact that fewer changes than expected had been implemented even if the changes that actually were carried out sometimes led to a more problematic work situation. This was seen to be more prominent for routine changes than IS changes. Still the administrators showed a clear willingness to change and to share their knowledge with new colleagues. This knowledge sharing (also tacit) worked well in the merger and the PMI. The majority reported that the most common way to learn to use new ISs and to apply new routines was by asking help from colleagues. They also needed to take responsibility for their own training and development. Five months after the merger (the fourth study) the administrators had become worried about the changes in communication strategy that had been implemented in the new university. This was perceived as being more anonymous. Furthermore, it was harder to get to know what was happening and to contact the new decision makers. The administrators found that decisions, and the authority to make decisions, had been moved to a higher administrative level than they were accustomed to. A directive management style is recommended in mergers in order to achieve a quick transition without distracting from the core business. A merger process may be tiresome and require considerable effort from the participants. In addition, not everyone can make their voice heard during a merger and consensus is not possible in every question. It is important to find out what is best for the new organization instead of simply claiming that the tried and tested methods of doing things should be implemented. A major problem turned out to be the lack of management continuity during the merger process. Especially problematic was the situation in the IS-department with many substitute managers during the whole merger process (even after the merger was carried out). This meant that no one was in charge of IS-issues and the PMI of IS. Moreover, the top managers were appointed very late in the process; in some cases after the merger was carried out. This led to missed opportunities for building trust and management credibility was heavily affected. The administrators felt neglected and that their competences and knowledge no longer counted. This, together with a reduced and altered information flow, led to rumours and distrust. Before the merger the administrators were convinced that their achievements contributed value to their organizations and that they worked effectively. After the merger they were less sure of their value contribution and effectiveness even if these factors were not totally discounted. The fifth study in November 2011 found that the administrators were still satisfied with their IS as they had been throughout the whole study. Furthermore, they believed that the IS department had done a good job despite challenging circumstances. Both the former organizations lacked IS strategies, which badly affected the IS strategizing during the merger and the PMI. IS strategies deal with issues like system ownership; namely who should pay and who is responsible for maintenance and system development, for organizing system training for new IS, and for effectively run IS even during changing circumstances (e.g. more users). A proactive approach is recommended for IS strategizing to work. This is particularly true during a merger and PMI for handling issues about what ISs should be adopted and implemented in the new organization, issues of integration and reengineering of IS-related processes. In the new university an ITstrategy had still not been decided 26 months after the new university was established. The study shows the importance of the decisive management of IS in a merger requiring that IS issues are addressed in the merger process and that IS decisions are made early. Moreover, the new management needs to be appointed early in order to work actively with the IS-strategizing. It is also necessary to build trust and to plan and make decisions about integration of IS and people.

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In this work mathematical programming models for structural and operational optimisation of energy systems are developed and applied to a selection of energy technology problems. The studied cases are taken from industrial processes and from large regional energy distribution systems. The models are based on Mixed Integer Linear Programming (MILP), Mixed Integer Non-Linear Programming (MINLP) and on a hybrid approach of a combination of Non-Linear Programming (NLP) and Genetic Algorithms (GA). The optimisation of the structure and operation of energy systems in urban regions is treated in the work. Firstly, distributed energy systems (DES) with different energy conversion units and annual variations of consumer heating and electricity demands are considered. Secondly, district cooling systems (DCS) with cooling demands for a large number of consumers are studied, with respect to a long term planning perspective regarding to given predictions of the consumer cooling demand development in a region. The work comprises also the development of applications for heat recovery systems (HRS), where paper machine dryer section HRS is taken as an illustrative example. The heat sources in these systems are moist air streams. Models are developed for different types of equipment price functions. The approach is based on partitioning of the overall temperature range of the system into a number of temperature intervals in order to take into account the strong nonlinearities due to condensation in the heat recovery exchangers. The influence of parameter variations on the solutions of heat recovery systems is analysed firstly by varying cost factors and secondly by varying process parameters. Point-optimal solutions by a fixed parameter approach are compared to robust solutions with given parameter variation ranges. In the work enhanced utilisation of excess heat in heat recovery systems with impingement drying, electricity generation with low grade excess heat and the use of absorption heat transformers to elevate a stream temperature above the excess heat temperature are also studied.

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At the present work the bifurcational behaviour of the solutions of Rayleigh equation and corresponding spatially distributed system is being analysed. The conditions of oscillatory and monotonic loss of stability are obtained. In the case of oscillatory loss of stability, the analysis of linear spectral problem is being performed. For nonlinear problem, recurrent formulas for the general term of the asymptotic approximation of the self-oscillations are found, the stability of the periodic mode is analysed. Lyapunov-Schmidt method is being used for asymptotic approximation. The correlation between periodic solutions of ODE and PDE is being investigated. The influence of the diffusion on the frequency of self-oscillations is being analysed. Several numerical experiments are being performed in order to support theoretical findings.

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The political environment of security and defence has changed radically in the Western industrialised world since the Cold War. As a response to these changes, since the beginning of the twenty-first century, most Western countries have adopted a ‘capabilities-based approach’ to developing and operating their armed forces. More responsive and versatile military capabilities must be developed to meet the contemporary challenges. The systems approach is seen as a beneficial means of overcoming traps in resolving complex real -world issues by conventional thinking. The main objectives of this dissertation are to explore and assess the means to enhance the development of military capabilities both in concept development and experimentation (CD&E) and in national defence materiel collaboration issues. This research provides a unique perspective, a systems approach, to the development areas of concern in resolving complex real-world issues. This dissertation seeks to increase the understanding of the military capability concept both as a whole and with in its life cycle. The dissertation follows the generic functionalist systems methodology by Jackson. The methodology applies a comprehensive set of constitutive rules to examine the research objectives. This dissertation makes contribution to current studies about military capability. It presents two interdepen dent conceptual capability models: the comprehensive capability meta-model (CCMM) and the holistic capability life cycle model (HCLCM). These models holistically and systematically complement the existing, but still evolving, understanding of military capability and its life cycle. In addition, this dissertation contributes to the scientific discussion of defence procurement in its broad meaning by introducing the holistic model about the national defence materiel collaboration between the defence forces, defence industry and academia. The model connects the key collaborative mechanisms, which currently work in isolation from each other, and take into consideration the unique needs of each partner. This dissertation contributes empirical evidence regarding the benefits of enterprise architectures (EA) to CD&E. The EA approach may add value to traditional concept development by increasing the clarity, consistency and completeness of the concept. The most important use considered for EA in CD&E is that it enables further utilisation of the concept created in the case project.

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Pulse Response Based Control (PRBC) is a recently developed minimum time control method for flexible structures. The flexible behavior of the structure is represented through a set of discrete time sequences, which are the responses of the structure due to rectangular force pulses. The rectangular force pulses are given by the actuators that control the structure. The set of pulse responses, desired outputs, and force bounds form a numerical optimization problem. The solution of the optimization problem is a minimum time piecewise constant control sequence for driving the system to a desired final state. The method was developed for driving positive semi-definite systems. In case the system is positive definite, some final states of the system may not be reachable. Necessary conditions for reachability of the final states are derived for systems with a finite number of degrees of freedom. Numerical results are presented that confirm the derived analytical conditions. Numerical simulations of maneuvers of distributed parameter systems have shown a relationship between the error in the estimated minimum control time and sampling interval

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State-of-the-art predictions of atmospheric states rely on large-scale numerical models of chaotic systems. This dissertation studies numerical methods for state and parameter estimation in such systems. The motivation comes from weather and climate models and a methodological perspective is adopted. The dissertation comprises three sections: state estimation, parameter estimation and chemical data assimilation with real atmospheric satellite data. In the state estimation part of this dissertation, a new filtering technique based on a combination of ensemble and variational Kalman filtering approaches, is presented, experimented and discussed. This new filter is developed for large-scale Kalman filtering applications. In the parameter estimation part, three different techniques for parameter estimation in chaotic systems are considered. The methods are studied using the parameterized Lorenz 95 system, which is a benchmark model for data assimilation. In addition, a dilemma related to the uniqueness of weather and climate model closure parameters is discussed. In the data-oriented part of this dissertation, data from the Global Ozone Monitoring by Occultation of Stars (GOMOS) satellite instrument are considered and an alternative algorithm to retrieve atmospheric parameters from the measurements is presented. The validation study presents first global comparisons between two unique satellite-borne datasets of vertical profiles of nitrogen trioxide (NO3), retrieved using GOMOS and Stratospheric Aerosol and Gas Experiment III (SAGE III) satellite instruments. The GOMOS NO3 observations are also considered in a chemical state estimation study in order to retrieve stratospheric temperature profiles. The main result of this dissertation is the consideration of likelihood calculations via Kalman filtering outputs. The concept has previously been used together with stochastic differential equations and in time series analysis. In this work, the concept is applied to chaotic dynamical systems and used together with Markov chain Monte Carlo (MCMC) methods for statistical analysis. In particular, this methodology is advocated for use in numerical weather prediction (NWP) and climate model applications. In addition, the concept is shown to be useful in estimating the filter-specific parameters related, e.g., to model error covariance matrix parameters.

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Two field experiments were conducted in two successive seasons, 2005/2006 and 2006/2007, to determine whether management can improve faba bean competitiveness with weeds, thus helping to achieve its yield potential. The experiment included five treatments, composed of organic and mineral fertilizers, alone and mixed at different rates, along with a control and six weed control treatments, including oxadiargyl, prometryn, hand hoeing treatments alone or mixed with the herbicides, and a nonweeded treatment (control).The herbicide treatments were not superior to the two hand-hoeing treatments. Using compost favored growth and yield of faba bean more than of weeds. Adding fertilizer also improved most yield parameters. Application of compost alone or combined with 50 or 100% of the recommended NPK rate improved faba bean growth in terms of net assimilation rate, specific leaf area, and leaf weight ratio as components of relative growth rate. This improvement in growth resulted in increase of seed yield, yield components and protein of faba bean. Faba bean yield performance improved under interactive fertilizer effects and weed control treatments as growth improved, as a result of nutrient release from fertilizers and weed control.