31 resultados para XYZ compliant parallel mechanism


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Tämän diplomityön tarkoituksena oli kiinnittää lakkaasientsyymi polyeetterisulfonimembraaniin suodatusominaisuuksien parantamiseksi. Lakkaasientsyymin tiedetään pilkkovan ligniiniä ja kiinnittämällä lakkaasientsyymi membraaniin tavoiteltiin ligniinin aiheuttaman membraanin likaantumisen vähentämistä. Tällöin vältyttäisiin lisäksi erilliseltä esikäsittely vaiheelta ja voitaisiin saada puhtaampi lopputuote. Lakkaasientsyymivalmisteena tutkimuksessa käytettiin Novozym® 51003 ja ristisilloittajana käytettiin glutaarialdehydiä. Vapaan ja kiinnitetyn lakkaasientsyymin aktiivisuuden määritettiin 2,2-atso-bis(3- etyylibentsotiatsolyyli-6-sulfonihappo):n avulla. Lakkaasin kiinnittymistä membraaniin tutkittiin ATR-FTIR spektroskoopilla kiinnittymisen varmentamiseksi. Lakkaasi modifioituja membraaneja testattiin koivu-uute suodatuksella ja adsorptio kokeella. Lakkaasientsyymi saatiin kiinnitettyä membraaniin ristisilloittajan avulla, mutta lakkaasilla modifioitujen membraanien vesivuot laskivat noin puoleen alkuperäisestä. Koivu-uuteen suodatuksissa modifioidusta membraanista ei saatu permeaattia lävitse, mutta adsorptiokokeen tulosten perusteella voidaan todeta lakkaasientsyymin pilkkoneen ligniiniä. Kiinnitetyn lakkaasin aktiivisuus vaihteli rinnakkaisten määritysten välillä, minkä vuoksi lakkaasin kiinnitysmekanismin lisätutkiminen olisi tarpeen luotettavimpien tulosten saamiseksi.

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The pumping processes requiring wide range of flow are often equipped with parallelconnected centrifugal pumps. In parallel pumping systems, the use of variable speed control allows that the required output for the process can be delivered with a varying number of operated pump units and selected rotational speed references. However, the optimization of the parallel-connected rotational speed controlled pump units often requires adaptive modelling of both parallel pump characteristics and the surrounding system in varying operation conditions. The available information required for the system modelling in typical parallel pumping applications such as waste water treatment and various cooling and water delivery pumping tasks can be limited, and the lack of real-time operation point monitoring often sets limits for accurate energy efficiency optimization. Hence, alternatives for easily implementable control strategies which can be adopted with minimum system data are necessary. This doctoral thesis concentrates on the methods that allow the energy efficient use of variable speed controlled parallel pumps in system scenarios in which the parallel pump units consist of a centrifugal pump, an electric motor, and a frequency converter. Firstly, the suitable operation conditions for variable speed controlled parallel pumps are studied. Secondly, methods for determining the output of each parallel pump unit using characteristic curve-based operation point estimation with frequency converter are discussed. Thirdly, the implementation of the control strategy based on real-time pump operation point estimation and sub-optimization of each parallel pump unit is studied. The findings of the thesis support the idea that the energy efficiency of the pumping can be increased without the installation of new, more efficient components in the systems by simply adopting suitable control strategies. An easily implementable and adaptive control strategy for variable speed controlled parallel pumping systems can be created by utilizing the pump operation point estimation available in modern frequency converters. Hence, additional real-time flow metering, start-up measurements, and detailed system model are unnecessary, and the pumping task can be fulfilled by determining a speed reference for each parallel-pump unit which suggests the energy efficient operation of the pumping system.

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

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BCM (business continuity Management) is a holistic management process aiming at ensuring business continuity and building organizational resilience. Maturity models offer organizations a tool for evaluating their current maturity in a certain process. In the recent years BCM has been subject to international ISO standardization, while the interest of organizations to bechmark their state of BCM agains standards and the use of maturity models for these asessments has increased. However, although new standards have been introduced, very little attention has been paid to reviewing the existing BCM maturity models in research - especially in the light of the new ISO 22301 standard for BCM. In this thesis the existing BCM maturily models are carefully evaluated to determine whetherthey could be improved. In order to accomplish this, the compliance of the existing models to the ISO 22301 standard is measured and a framework for assessing a maturitymodel´s quality is defined. After carefully evaluating the existing frameworks for maturity model development and evaluation, an approach suggested by Becker et al. (2009) was chosen as the basis for the research. An additionto the procedural model a set of seven research guidelines proposed by the same authors was applied, drawing on the design-science research guidelines as suggested by Hevner et al. (2004). Furthermore, the existing models´ form and function was evaluated to address their usability. Based on the evaluation of the existing BCM maturity models, the existing models were found to have shortcomings in each dimension of the evaluation. Utilizing the best of the existing models, a draft version for an enhanced model was developed. This draft model was then iteratively developed by conducting six semi-structured interviews with BCM professionals in finland with the aim of validating and improving it. As a Result, a final version of the enhanced BCM maturity model was developed, conforming to the seven key clauses in the ISO 22301 standard and the maturity model development guidelines suggested by Becker et al. (2009).

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Parallel-connected photovoltaic inverters are required in large solar plants where it is not economically or technically reasonable to use a single inverter. Currently, parallel inverters require individual isolating transformers to cut the path for the circulating current. In this doctoral dissertation, the problem is approached by attempting to minimize the generated circulating current. The circulating current is a function of the generated common-mode voltages of the parallel inverters and can be minimized by synchronizing the inverters. The synchronization has previously been achieved by a communication link. However, in photovoltaic systems the inverters may be located far apart from each other. Thus, a control free of communication is desired. It is shown in this doctoral dissertation that the circulating current can also be obtained by a common-mode voltage measurement. A control method based on a short-time switching frequency transition is developed and tested with an actual photovoltaic environment of two parallel inverters connected to two 5 kW solar arrays. Controls based on the measurement of the circulating current and the common-mode voltage are generated and tested. A communication-free method of controlling the circulating current between parallelconnected inverters is developed and verified.

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The dissertation proposes two control strategies, which include the trajectory planning and vibration suppression, for a kinematic redundant serial-parallel robot machine, with the aim of attaining the satisfactory machining performance. For a given prescribed trajectory of the robot's end-effector in the Cartesian space, a set of trajectories in the robot's joint space are generated based on the best stiffness performance of the robot along the prescribed trajectory. To construct the required system-wide analytical stiffness model for the serial-parallel robot machine, a variant of the virtual joint method (VJM) is proposed in the dissertation. The modified method is an evolution of Gosselin's lumped model that can account for the deformations of a flexible link in more directions. The effectiveness of this VJM variant is validated by comparing the computed stiffness results of a flexible link with the those of a matrix structural analysis (MSA) method. The comparison shows that the numerical results from both methods on an individual flexible beam are almost identical, which, in some sense, provides mutual validation. The most prominent advantage of the presented VJM variant compared with the MSA method is that it can be applied in a flexible structure system with complicated kinematics formed in terms of flexible serial links and joints. Moreover, by combining the VJM variant and the virtual work principle, a systemwide analytical stiffness model can be easily obtained for mechanisms with both serial kinematics and parallel kinematics. In the dissertation, a system-wide stiffness model of a kinematic redundant serial-parallel robot machine is constructed based on integration of the VJM variant and the virtual work principle. Numerical results of its stiffness performance are reported. For a kinematic redundant robot, to generate a set of feasible joints' trajectories for a prescribed trajectory of its end-effector, its system-wide stiffness performance is taken as the constraint in the joints trajectory planning in the dissertation. For a prescribed location of the end-effector, the robot permits an infinite number of inverse solutions, which consequently yields infinite kinds of stiffness performance. Therefore, a differential evolution (DE) algorithm in which the positions of redundant joints in the kinematics are taken as input variables was employed to search for the best stiffness performance of the robot. Numerical results of the generated joint trajectories are given for a kinematic redundant serial-parallel robot machine, IWR (Intersector Welding/Cutting Robot), when a particular trajectory of its end-effector has been prescribed. The numerical results show that the joint trajectories generated based on the stiffness optimization are feasible for realization in the control system since they are acceptably smooth. The results imply that the stiffness performance of the robot machine deviates smoothly with respect to the kinematic configuration in the adjacent domain of its best stiffness performance. To suppress the vibration of the robot machine due to varying cutting force during the machining process, this dissertation proposed a feedforward control strategy, which is constructed based on the derived inverse dynamics model of target system. The effectiveness of applying such a feedforward control in the vibration suppression has been validated in a parallel manipulator in the software environment. The experimental study of such a feedforward control has also been included in the dissertation. The difficulties of modelling the actual system due to the unknown components in its dynamics is noticed. As a solution, a back propagation (BP) neural network is proposed for identification of the unknown components of the dynamics model of the target system. To train such a BP neural network, a modified Levenberg-Marquardt algorithm that can utilize an experimental input-output data set of the entire dynamic system is introduced in the dissertation. Validation of the BP neural network and the modified Levenberg- Marquardt algorithm is done, respectively, by a sinusoidal output approximation, a second order system parameters estimation, and a friction model estimation of a parallel manipulator, which represent three different application aspects of this method.

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Tämä teorialähtöinen, hermeneuttinen tutkimus sijoittuu käännöstieteen sekä uskonnon- ja kielifilosofian rajapintaan. Tutkimuksessa kuvataan kristinuskon tekstimaailmaa relevantin tulkintakehyksen kautta sekä esitetään tekstimaailman tulkintaan soveltuva lähestymistapa ammattikääntäjän eli välittävän vastaanottajan näkökulmasta. Tutkimus pureutuu käännösprosessin hermeneutiikkaan eli lähdetekstin ja sen maailman tulkintaan, ymmärtämiseen ja selittämiseen liittyviin aspekteihin. Tutkimuksessa ei esitetä käännösratkaisuja. Tutkimus nostaa esiin filosofisen ja teologisen hermeneutiikan peruskysymyksiä. Niitä ovat Raamatun tekstien vaikutushistoria, erilaiset todellisuus- ja kielikäsitykset, kirkon oppi, teologian pääsuuntaukset, uskonnolliset yhteisöt ja niiden perinteet, inhimillinen kulttuuri ja aika. Ne ovat ulottuvuuksia, jotka vaikuttavat kääntäjän tekstin- ja maailmantulkintaan ja vaativat laajojen kontekstien huomioonottamista sekä lähestymistä monista eri näkökulmista. Ludwig Wittgensteinin myöhäisfilosofiaan liittyvän kielipelin idea tarjoaa ajatusmallin, jonka avulla uskonnon käsite-, merkki- ja tekstimaailmalle voidaan luoda moninäkökulmainen tulkintakehys. Kielipelin käsitettä käytetään tässä tutkimuksessa tekstien samankaltaisuutta ja erilaisuutta kokoavana järjestelmänä, joka toimii intratekstuaalisesti eli sillä on omat pelisääntönsä, tulkinnan lähteensä sekä tunnistettava identiteetti. Järjestelmän keskiössä ovat uskonnon konstituioivat käsitteet ja kertomukset, jotka ovat muiden tulkintojen eli metatekstien lähde. Kääntäjän varsinaisina tulkintakohteina ovat metatekstit, eivät raamatunkääntämiseen liittyvät kysymykset suoranaisesti. Tutkimuksessa luodaan kuitenkin tulkintamalli, jonka mukaan metatekstejä ja raamatun tekstejä luetaan rinnakkain. Ymmärtäminen ja ongelmanratkaisu rakentuvat tekstuaalisen kommunikaation pohjalta. Tekstejä luetaan sekä sääntöteorian että narratiivisen teorian valossa. Kertomus puhuttelee vastaanottajaa eri tavalla kuin sääntö. Tulkintamallissa yhdistyvät sekä analyyttinen että luovan mielikuvituksen sallima lukutapa. Molemmat toimivat yhdessä kääntäjän tekstin- merkin- ja maailmantulkinnan apuna. Tutkimuksessa pohditaan myös tekstiteorettisia kysymyksiä, tekstin ja merkin käsitteitä sekä niiden toimintadynamiikkaa. Tulkinnan mekanismi esitetään semioosin käsitteen avulla. Teksti määritellään heuristiseksi ja eksemplaariseksi kuvaukseksi maailmasta, ja se edustaa vain osaa tulkintakokonaisuudesta. Kääntäjän hermeneuttinen kenttä ulotetaan tekstinulkoiseen maailmaan, käytäntöön ja elämänmuotoon.

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The most common reason for a low-voltage induction motor breakdown is a bearing failure. Along with the increasing popularity of modern frequency converters, bearing failures have become the most important motor fault type. Conditions in which bearing currents are likely to occur are generated as a side effect of fast du/dt switching transients. Once present, different types of bearing currents can accelerate the mechanical wear of bearings by causing deformation of metal parts in the bearing and degradation of the lubricating oil properties.The bearing current phenomena are well known, and several bearing current measurement and mitigation methods have been proposed. Nevertheless, in order to develop more feasible methods to measure and mitigate bearing currents, better knowledge of the phenomena is required. When mechanical wear is caused by bearing currents, the resulting aging impact has to be monitored and dealt with. Moreover, because of the stepwise aging mechanism, periodically executed condition monitoring measurements have been found ineffective. Thus, there is a need for feasible bearing current measurement methods that can be applied in parallel with the normal operation of series production drive systems. In order to reach the objectives of feasibility and applicability, nonintrusive measurement methods are preferred. In this doctoral dissertation, the characteristics and conditions of bearings that are related to the occurrence of different kinds of bearing currents are studied. Further, the study introduces some nonintrusive radio-frequency-signal-based approaches to detect and measure parameters that are associated with the accelerated bearing wear caused by bearing currents.

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This thesis presents a novel design paradigm, called Virtual Runtime Application Partitions (VRAP), to judiciously utilize the on-chip resources. As the dark silicon era approaches, where the power considerations will allow only a fraction chip to be powered on, judicious resource management will become a key consideration in future designs. Most of the works on resource management treat only the physical components (i.e. computation, communication, and memory blocks) as resources and manipulate the component to application mapping to optimize various parameters (e.g. energy efficiency). To further enhance the optimization potential, in addition to the physical resources we propose to manipulate abstract resources (i.e. voltage/frequency operating point, the fault-tolerance strength, the degree of parallelism, and the configuration architecture). The proposed framework (i.e. VRAP) encapsulates methods, algorithms, and hardware blocks to provide each application with the abstract resources tailored to its needs. To test the efficacy of this concept, we have developed three distinct self adaptive environments: (i) Private Operating Environment (POE), (ii) Private Reliability Environment (PRE), and (iii) Private Configuration Environment (PCE) that collectively ensure that each application meets its deadlines using minimal platform resources. In this work several novel architectural enhancements, algorithms and policies are presented to realize the virtual runtime application partitions efficiently. Considering the future design trends, we have chosen Coarse Grained Reconfigurable Architectures (CGRAs) and Network on Chips (NoCs) to test the feasibility of our approach. Specifically, we have chosen Dynamically Reconfigurable Resource Array (DRRA) and McNoC as the representative CGRA and NoC platforms. The proposed techniques are compared and evaluated using a variety of quantitative experiments. Synthesis and simulation results demonstrate VRAP significantly enhances the energy and power efficiency compared to state of the art.

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This doctoral dissertation explores the contribution of environmental management practices, the so-called clean development mechanism (CDM) projects, and foreign direct investment (FDI) in achieving sustainable development in developing countries, particularly in Sub- Saharan Africa. Because the climate change caused by greenhouse gas emissions is one of the most serious global environmental challenges, the main focus is on the causal links between carbon dioxide (CO2) emissions, energy consumption, and economic development in Sub-Saharan Africa. In addition, the dissertation investigates the factors that have affected the distribution of CDM projects in developing countries and the relationships between FDI and other macroeconomic variables of interest. The main contribution of the dissertation is empirical. One of the publications uses crosssectional data and Tobit and Poisson regressions. Three of the studies use time-series data and vector autoregressive and vector error correction models, while two publications use panel data and panel data estimation methods. One of the publications uses thus both timeseries and panel data. The concept of Granger causality is utilized in four of the publications. The results indicate that there are significant differences in the Granger causality relationships between CO2 emissions, energy consumption, economic growth, and FDI in different countries. It appears also that the causality relationships change over time. Furthermore, the results support the environmental Kuznets curve hypothesis but only for some of the countries. As to CDM activities, past emission levels, institutional quality, and the size of the host country appear to be among the significant determinants of the distribution of CDM projects. FDI and exports are also found to be significant determinants of economic growth.

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The whole research of the current Master Thesis project is related to Big Data transfer over Parallel Data Link and my main objective is to assist the Saint-Petersburg National Research University ITMO research team to accomplish this project and apply Green IT methods for the data transfer system. The goal of the team is to transfer Big Data by using parallel data links with SDN Openflow approach. My task as a team member was to compare existing data transfer applications in case to verify which results the highest data transfer speed in which occasions and explain the reasons. In the context of this thesis work a comparison between 5 different utilities was done, which including Fast Data Transfer (FDT), BBCP, BBFTP, GridFTP, and FTS3. A number of scripts where developed which consist of creating random binary data to be incompressible to have fair comparison between utilities, execute the Utilities with specified parameters, create log files, results, system parameters, and plot graphs to compare the results. Transferring such an enormous variety of data can take a long time, and hence, the necessity appears to reduce the energy consumption to make them greener. In the context of Green IT approach, our team used Cloud Computing infrastructure called OpenStack. It’s more efficient to allocated specific amount of hardware resources to test different scenarios rather than using the whole resources from our testbed. Testing our implementation with OpenStack infrastructure results that the virtual channel does not consist of any traffic and we can achieve the highest possible throughput. After receiving the final results we are in place to identify which utilities produce faster data transfer in different scenarios with specific TCP parameters and we can use them in real network data links.

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Aims: The aim of this work was to assess the ultrastructural changes, cellular proliferation, and the biofilm formation ability of F. nucleatum as defense mechanisms against the effect of HNP-1. Materials and methods: The type strain of F. nucleatum (ssp. nucleatum ATCC 25586) and two clinical strains (ssp. polymorphum AHN 9910 and ssp. nucleatum AHN 9508) were cultured and incubated with four different test concentrations of recombinant HNP-1 (1, 5, 10 and 20 µg/ml) and one control group (0 µg/ml). Bacterial pellets from each concentration were processed for TEM imaging. Planktonic growth was assessed and colony forming units (CFU) were measured to determine the cellular proliferation. Scrambled HNP-1 was used for confirmation. Results: TEM analyses revealed a decrease in the outer membrane surface corrugations and roughness of the strain AHN 9508 with increasing HNP-1 concentrations. In higher concentrations of HNP-1, the strain AHN 9910 showed thicker outer membranes with a number of associated rough vesicles attached to the outer surface. For ATCC 25586, the treated bacterial cells contained higher numbers of intracellular granules with increasing the peptide concentration. Planktonic growth of the two clinical strains were significantly enhanced (P<0.001) with gradually increased concentrations of HNP-1. None of the planktonic growth results of the 3 strains incubated with the scrambled HNP-1 was statistically significant. HNP-1 decreased the biofilm formation of the two clinical strains, AHN 9910 and 9508, significantly (P<0.01 and P<0.001; respectively). Conclusions: The present in vitro study demonstrates that F. nucleatum has the ability to withstand the lethal effects of HNP-1 even at concentrations simulating the diseased periodontium in vivo. The increase in planktonic growth could act as defense mechanisms of F. nucleatum against HNP-1.

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Proteins of the Ras family are central regulators of crucial cellular processes, such as proliferation, differentiation and apoptosis. Their importance is emphasized in cancer, in which the isoforms H-ras, N-ras and K-ras are misregulated by mutations in approximately 20 – 30 % of cases. Thus, they represent major cancer oncogenes and one of the most important targets for cancer drug development. Ras proteins are small GTPases, which cycle between the GTP-bound active and GDP-bound inactive state. Despite the tremendous research conducted in the last three decades, many fundamental properties of Ras proteins remain poorly understood. For instance, although new concepts have recently emerged, the understanding of Ras behavior in its native environment, the membrane, is still largely missing. On the membrane Ras organizes into nanoscale clusters, also called nanoclusters. They differ between isoforms, but also between activation states of Ras. It is considered that nanoclusters represent the basic Ras signaling units. Recently, it was demonstrated that on the membrane Ras adopts distinct conformations, the so-called orientations, which are dependent on the Ras activations state. The membrane-orientation of H-ras is stabilized by the helix α4 and the C-terminal hypervariable region (hvr). The novel switch III region was proposed to be involved in mediating the change between different H-ras orientations. When the regions involved in this mechanism are mutated, H-ras activity is changed by an unknown mechanism. This thesis has explained the connection between the change of Ras orientation on the membrane and Ras activity. We demonstrated that H-ras orientation mutants exhibit altered diffusion properties on the membrane, which reflect the changes in their nanoclustering. The altered nanoclustering consequently rules the activity of the mutants. Moreover, we demonstrated that specific cancer-related mutations, affecting the switch III region of different Ras isoforms, exhibit increased nanoclustering, which consequently leads to stronger Ras signaling and tumorigenicity. Thus, we have discovered nanoclustering increase as a novel mechanism of Ras activity modulation in cancer. The molecular architecture of complexes formed on the membrane upon Ras activation is another poorly understood property of Ras. The following work has provided novel details on the regulation of Ras nanoclustering by a known H-ras-GTP nanoclustering stabilizer galectin-1 (Gal-1). Our study demonstrated that Gal-1 is not able to bind Ras directly, as it was previously proposed. Instead, its effect on H-ras-GTP nanoclustering is indirect, through binding of the effector proteins. Collectively, our findings represent valuable novel insights in the behavior of Ras, which will help the future research to eventually develop new strategies to successfully target Ras in cancer.