9 resultados para realtime

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Työn tavoitteena oli kehittää ja toteuttaa reaaliaikasimulaattori maastoajoneuvon käyttöliittymälle, jota ajoneuvon kuljettajakäyttää ajon aikana. Simulaattori oli tarkoitettu ensisijaisesti käyttöliittymän testaukseen, mutta sen pitää olla helposti laajennettavissa esimerkiksi koulutuskäyttöön. Mallinnustyökaluina oli tarkoitus käyttääpääsääntöisesti markkinoilta saatavia valmiita ohjelmistoja. Simulaattorin toteutuksessa käytettiin myös manuaalista ohjelmointia, koska valituilla ohjelmistoilla ei suoraan voinut saavuttaa reaaliaikaista visualisointia. Käsin kirjoitetut koodit hoitavat valmiilla ohjelmistoilla tehtyjen osien välisen tiedonsiirron. Varsinainen mallintaminen oli valituilla ohjelmistoilla helppoa ja nopeaa. Työn tuloksena saatiintoteutettua simulaattori, jonka vaikutelma oli reaaliaikainen. Käytettävyystestit onnistuivat hyvin simulaattorin avulla. Simulointimallin modulaarisuuden ansiosta mallia on helppo päivittää. Simulaattorin jatkokehityksessä oleelliset seikat ovat visualisoinnin parantaminen ja todellista ajoneuvoa vastaavan dynamiikan lisääminen.

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IP-verkoissa tarjottavat palvelut ovat lisääntyneet, on tullut uusia kanavia, jotka tarjoavat IP-pohjaisia palveluja. Internet-palvelujen tarjonta on tullut mukaan kaapelitelevisio- ja matkapuhelinverkkoihin. Lisääntynyt palvelujen tarjonta ja kysyntä ovat lisänneet palvelujen hallinnan merkitystä. IP-verkoissa on ilmennyt turvallisuuteen, skaalattavuuteen ja palvelun laatuun liittyviä ongelmia. Palvelun laadun tärkeys painottuu reaaliaikaisuutta ja suurta kapasiteettia vaativissa sovelluksissa. Tulevaisuudessa IP-liikenteen on ennustettu kasvavan yli satakertaiseksi nykyisestä tasosta kolmen vuoden kuluessa. Tämän vuoksi on kehitetty uusi verkon ja palvelun hallintamenetelmiä, joista tässä työssä on tutkittu sääntöpohjaista verkon hallintaa.

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Työn tavoitteena oli selvittää mahdollisuuksia käyttää Linux-ympäristöä mekatronisten koneiden reaaliaikaisessa simuloinnissa. Työssä tutkittiin C-kielellä tehdyn reaaliaikaisen simulointimallin ratkaisua Linux-käyttöjärjestelmässä RTLinux-reaaliaikalaajennuksen avulla. Reaaliaikainen simulointi onnistui RTLinuxin avulla tehokkaasti ja mallinnusmenetelmien rajoissa tarkasti. I/O-toimintojen lisäämistä erillisten I/O-korttien avulla ei tarkasteltu tässä työssä. Reaaliaikaista Linuxia ei ole aikaisemmin käytetty mekatronisten koneiden simulointiin. Tämän vuoksi valmiita työkaluja ei ole olemassa. Linux-ympäristö ei näin ollen sovellu kovin hyvin yleiseen koneensuunnitteluun mallintamisen työläyden vuoksi.

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Tulevaisuudessa mittaustulokset siirretään tietoliikenteen välityksellä kulutuspaikalta energiayhtiön laskutusjärjestelmään. Diplomityön tavoitteena oli selvittää sähköverkkoa ja muita kommunikaatio muotoja hyödyntävän kaukoluentajärjestelmän kannattavuus ja käyttöönotto Kotkan Energia Oy:n jakeluverkoissa. Tutkimuksessa selvitettiin yhtiön nykyisen mittalaitekaluston tila ja tehtiin huoltosuunnitelma tuleville vuosille. Lisäksi tutkittiin uuden järjestelmän kannattavuus asiakasryhmittäin ja selvitettiin järjestelmän muut hyödyt asiakkaalle ja yhtiölle. Uusi järjestelmä tehostaa energiayhtiön mittaukseen liittyviä prosesseja. Lisäksi reaaliaikaiset mittaustiedot poistavat arviolaskutuksen ja näin ollen energiayhtiön laskutukseen liittyvä asiakaspalvelu tehostuu ja tilikauden tulosta ei tarvitse ennustaa. Tulokseksi saatiin, että suurimmat säästöt järjestelmä tuo silloin kun mittalaitteet vaihdetaan huoltovaihtona. Energianmittauksen kaukoluentajärjestelmä todettiin tutkimuksessa kannattavaksi investoinniksi nykyiseen mittausjärjestelmään verrattuna.

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In the construction industry, the role of project management and monitoring is emphasized, because the responsibilities have been carefully planned and divided. A concrete element factory manufactures the units based on construction drawings, while a transport company is responsible of transporting the elements to the worksite. At the worksite, an installation team assembles the elements according to plans. Usually, there are several manufacturers and transport companies involved in the construction process and the distances between different parties can be rather long. Therefore, the role of information exchange is critical in order to control, for example, schedules and exceptions. From the viewpoint of project management, the whole process should be controlled and monitored in realtime - in such a way that the managers are able to analyze and report the data afterwards. In this master’s thesis, a mobile-aided construction project monitoring system is designed and implemented. The monitoring system consists of three main components: mobile phone application, server software and an interface application to Tekla Structures BIM-software. Precast construction components, projects and users are identified by using 2D-barcodes that are read with the camera of a mobile phone. An option would be to use RFID tags and readers. After successful identification, the precast component can be tagged with monitoring data, including state acknowledgments and error reports that are sent and saved to the server. Collected data can be viewed through the www-pages of the monitoring system. In addition, the data can be synchronized to the Tekla Structures-software that is running the 3D-model of the whole building. Synchronization maintains and enhances the traceability of monitoring data, as well as, helps to visualize the progression of the project.

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The objective of this dissertation is to improve the dynamic simulation of fluid power circuits. A fluid power circuit is a typical way to implement power transmission in mobile working machines, e.g. cranes, excavators etc. Dynamic simulation is an essential tool in developing controllability and energy-efficient solutions for mobile machines. Efficient dynamic simulation is the basic requirement for the real-time simulation. In the real-time simulation of fluid power circuits there exist numerical problems due to the software and methods used for modelling and integration. A simulation model of a fluid power circuit is typically created using differential and algebraic equations. Efficient numerical methods are required since differential equations must be solved in real time. Unfortunately, simulation software packages offer only a limited selection of numerical solvers. Numerical problems cause noise to the results, which in many cases leads the simulation run to fail. Mathematically the fluid power circuit models are stiff systems of ordinary differential equations. Numerical solution of the stiff systems can be improved by two alternative approaches. The first is to develop numerical solvers suitable for solving stiff systems. The second is to decrease the model stiffness itself by introducing models and algorithms that either decrease the highest eigenvalues or neglect them by introducing steady-state solutions of the stiff parts of the models. The thesis proposes novel methods using the latter approach. The study aims to develop practical methods usable in dynamic simulation of fluid power circuits using explicit fixed-step integration algorithms. In this thesis, twomechanisms whichmake the systemstiff are studied. These are the pressure drop approaching zero in the turbulent orifice model and the volume approaching zero in the equation of pressure build-up. These are the critical areas to which alternative methods for modelling and numerical simulation are proposed. Generally, in hydraulic power transmission systems the orifice flow is clearly in the turbulent area. The flow becomes laminar as the pressure drop over the orifice approaches zero only in rare situations. These are e.g. when a valve is closed, or an actuator is driven against an end stopper, or external force makes actuator to switch its direction during operation. This means that in terms of accuracy, the description of laminar flow is not necessary. But, unfortunately, when a purely turbulent description of the orifice is used, numerical problems occur when the pressure drop comes close to zero since the first derivative of flow with respect to the pressure drop approaches infinity when the pressure drop approaches zero. Furthermore, the second derivative becomes discontinuous, which causes numerical noise and an infinitely small integration step when a variable step integrator is used. A numerically efficient model for the orifice flow is proposed using a cubic spline function to describe the flow in the laminar and transition areas. Parameters for the cubic spline function are selected such that its first derivative is equal to the first derivative of the pure turbulent orifice flow model in the boundary condition. In the dynamic simulation of fluid power circuits, a tradeoff exists between accuracy and calculation speed. This investigation is made for the two-regime flow orifice model. Especially inside of many types of valves, as well as between them, there exist very small volumes. The integration of pressures in small fluid volumes causes numerical problems in fluid power circuit simulation. Particularly in realtime simulation, these numerical problems are a great weakness. The system stiffness approaches infinity as the fluid volume approaches zero. If fixed step explicit algorithms for solving ordinary differential equations (ODE) are used, the system stability would easily be lost when integrating pressures in small volumes. To solve the problem caused by small fluid volumes, a pseudo-dynamic solver is proposed. Instead of integration of the pressure in a small volume, the pressure is solved as a steady-state pressure created in a separate cascade loop by numerical integration. The hydraulic capacitance V/Be of the parts of the circuit whose pressures are solved by the pseudo-dynamic method should be orders of magnitude smaller than that of those partswhose pressures are integrated. The key advantage of this novel method is that the numerical problems caused by the small volumes are completely avoided. Also, the method is freely applicable regardless of the integration routine applied. The superiority of both above-mentioned methods is that they are suited for use together with the semi-empirical modelling method which necessarily does not require any geometrical data of the valves and actuators to be modelled. In this modelling method, most of the needed component information can be taken from the manufacturer’s nominal graphs. This thesis introduces the methods and shows several numerical examples to demonstrate how the proposed methods improve the dynamic simulation of various hydraulic circuits.

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One of the main challenges in Software Engineering is to cope with the transition from an industry based on software as a product to software as a service. The field of Software Engineering should provide the necessary methods and tools to develop and deploy new cost-efficient and scalable digital services. In this thesis, we focus on deployment platforms to ensure cost-efficient scalability of multi-tier web applications and on-demand video transcoding service for different types of load conditions. Infrastructure as a Service (IaaS) clouds provide Virtual Machines (VMs) under the pay-per-use business model. Dynamically provisioning VMs on demand allows service providers to cope with fluctuations on the number of service users. However, VM provisioning must be done carefully, because over-provisioning results in an increased operational cost, while underprovisioning leads to a subpar service. Therefore, our main focus in this thesis is on cost-efficient VM provisioning for multi-tier web applications and on-demand video transcoding. Moreover, to prevent provisioned VMs from becoming overloaded, we augment VM provisioning with an admission control mechanism. Similarly, to ensure efficient use of provisioned VMs, web applications on the under-utilized VMs are consolidated periodically. Thus, the main problem that we address is cost-efficient VM provisioning augmented with server consolidation and admission control on the provisioned VMs. We seek solutions for two types of applications: multi-tier web applications that follow the request-response paradigm and on-demand video transcoding that is based on video streams with soft realtime constraints. Our first contribution is a cost-efficient VM provisioning approach for multi-tier web applications. The proposed approach comprises two subapproaches: a reactive VM provisioning approach called ARVUE and a hybrid reactive-proactive VM provisioning approach called Cost-efficient Resource Allocation for Multiple web applications with Proactive scaling. Our second contribution is a prediction-based VM provisioning approach for on-demand video transcoding in the cloud. Moreover, to prevent virtualized servers from becoming overloaded, the proposed VM provisioning approaches are augmented with admission control approaches. Therefore, our third contribution is a session-based admission control approach for multi-tier web applications called adaptive Admission Control for Virtualized Application Servers. Similarly, the fourth contribution in this thesis is a stream-based admission control and scheduling approach for on-demand video transcoding called Stream-Based Admission Control and Scheduling. Our fifth contribution is a computation and storage trade-o strategy for cost-efficient video transcoding in cloud computing. Finally, the sixth and the last contribution is a web application consolidation approach, which uses Ant Colony System to minimize the under-utilization of the virtualized application servers.

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Many-core systems are emerging from the need of more computational power and power efficiency. However there are many issues which still revolve around the many-core systems. These systems need specialized software before they can be fully utilized and the hardware itself may differ from the conventional computational systems. To gain efficiency from many-core system, programs need to be parallelized. In many-core systems the cores are small and less powerful than cores used in traditional computing, so running a conventional program is not an efficient option. Also in Network-on-Chip based processors the network might get congested and the cores might work at different speeds. In this thesis is, a dynamic load balancing method is proposed and tested on Intel 48-core Single-Chip Cloud Computer by parallelizing a fault simulator. The maximum speedup is difficult to obtain due to severe bottlenecks in the system. In order to exploit all the available parallelism of the Single-Chip Cloud Computer, a runtime approach capable of dynamically balancing the load during the fault simulation process is used. The proposed dynamic fault simulation approach on the Single-Chip Cloud Computer shows up to 45X speedup compared to a serial fault simulation approach. Many-core systems can draw enormous amounts of power, and if this power is not controlled properly, the system might get damaged. One way to manage power is to set power budget for the system. But if this power is drawn by just few cores of the many, these few cores get extremely hot and might get damaged. Due to increase in power density multiple thermal sensors are deployed on the chip area to provide realtime temperature feedback for thermal management techniques. Thermal sensor accuracy is extremely prone to intra-die process variation and aging phenomena. These factors lead to a situation where thermal sensor values drift from the nominal values. This necessitates efficient calibration techniques to be applied before the sensor values are used. In addition, in modern many-core systems cores have support for dynamic voltage and frequency scaling. Thermal sensors located on cores are sensitive to the core's current voltage level, meaning that dedicated calibration is needed for each voltage level. In this thesis a general-purpose software-based auto-calibration approach is also proposed for thermal sensors to calibrate thermal sensors on different range of voltages.

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Energy efficient policies are being applied to network protocols, devices and classical network management systems. Researchers have already studied in depth each of those fields, including for instance a long monitoring processes of various number of individual ICT equipment from where power models are constructed. With the development of smart meters and emerging protocols such as SNMP and NETCONF, currently there is an open field to couple the power models, translated to the expected behavior, with the realtime energy measurements. The goal is to derive a comparison on the power data between both of the processes in the direction of detection for possible deviations on the expected results. The logical assumption is that a fault in the usage of a particular device will not only increase its own energy usage, but also may cause additional consumption on the other devices part of the network. A platform is developed to monitor and analyze the retrieved power data of a simulated enterprise ICT infrastructure. Moreover, smart algorithms are developed which are aware of the different states that are occurring on each device during their typical use phase, as well as to detect and isolate possible anomalies. The produced results are obtained and validated with the use of Cisco switches and routers, Dell Precision stations and Raritan PDU as part of the monitored infrastructure.