Sensor Fusion of Proprioception, Force and Vision in Estimation and Robot

Sensor-based robot control allows manipulation in dynamic environments with uncertainties. Vision is a versatile low-cost sensory modality, but low sample rate, high sensor delay and uncertain measurements limit its usability, especially in strongly dynamic environments. Force is a complementary sensory modality allowing accurate measurements of local object shape when a tooltip is in contact with the object. In multimodal sensor fusion, several sensors measuring different modalities are combined to give a more accurate estimate of the environment. As force and vision are fundamentally different sensory modalities not sharing a common representation, combining the information from these sensors is not straightforward. In this thesis, methods for fusing proprioception, force and vision together are proposed. Making assumptions of object shape and modeling the uncertainties of the sensors, the measurements can be fused together in an extended Kalman filter. The fusion of force and visual measurements makes it possible to estimate the pose of a moving target with an end-effector mounted moving camera at high rate and accuracy. The proposed approach takes the latency of the vision system into account explicitly, to provide high sample rate estimates. The estimates also allow a smooth transition from vision-based motion control to force control. The velocity of the end-effector can be controlled by estimating the distance to the target by vision and determining the velocity profile giving rapid approach and minimal force overshoot. Experiments with a 5-degree-of-freedom parallel hydraulic manipulator and a 6-degree-of-freedom serial manipulator show that integration of several sensor modalities can increase the accuracy of the measurements significantly.

Porvoon jalostamon haihtuvien orgaanisten yhdisteiden päästömääritysmenetelmät

Työssä käytiin läpi Porvoon jalostamon haihtuvien orgaanisten yhdisteiden päästömääritysmenetelmiä ja arvioitiin nykyisin käytössä olevien sekä uusien menetelmien soveltuvuutta Porvoon jalostamon päästömääritykseen. Nykyisten menetelmien arviointia tehtiin käymällä läpi eri alueiden 2000-luvun päästömäärät sekä vertaamalla päästömääriä muiden jalostamojen vastaaviin päästömääriin. Haihtuvista orgaanisista yhdisteistä puhuttaessa jätetään yleisesti metaani määritelmän ulkopuolelle ja käytetään termiä NMVOC-yhdisteet. Työssä laskettiin arvio Porvoon jalostamon metaanin päästömäärälle ja arvioitiin sen vaikutusta NMVOC-kokonaispäästömäärään. Metaanin kokonaispäästömäärien havaittiin olevan noin kymmenen kertaa haihtuvien orgaanisten yhdisteiden päästömääriä pienempiä, ja näin ollen niiden lisäämisellä NMVOC-päästöihin ei ole juuri vaikutusta. Myös menetelmien investointi- ja käyttökustannuksia, sekä pidemmän aikavälin kustannuksia arvioitiin. Kustannuksiltaan tällä hetkellä Porvoon jalostamolla käytössä olevat menetelmät ovat kustannustehokkaita. Uusista menetelmistä DIAL, SOF ja OGI ovat kustannuksiltaan huomattavasti kalliimpia, myös pitkän aikavälin vertailulla. Nykyisten menetelmien vuosittaiset kustannukset aiheutuvat mittausten vaatimista henkilötyötunneista. Uusista menetelmistä SOF ja DIAL vaativat ulkopuolisten mittaajien käyttämistä. Massavirran määrityksen suhteen vielä kehitysvaiheessa olevalla OGI-kameralla mitatessa voidaan käyttää mittaajina omaa henkilökuntaa. Toisin kuin DIAL- ja SOF-menetelmien laitteistot, OGI-kamera ostetaan omaksi ja näin ollen sitä voidaan käyttää tarpeen vaatiessa vuoden ympäri esimerkiksi suurien vuotajien paikallistamiseen ja LDAR-kiristysohjelman tukena. Tarkastelun perusteella olisi suositeltavaa tarkastaa nykyisin käytettävistä laskentamenetelmistä erityisesti prosessi- ja säiliöalueen sekä jätevesijärjestelmä päästömäärät käyttäen tarkempia DIAL-, SOF- tai myöhemmin OGI-menetelmiä ja muokata laskentamenetelmiä vastamaan näillä määritettyjä päästömääriä.

Hand tracking in high-speed camera videos

Visual object tracking has been one of the most popular research topics in the field of computer vision recently. Specifically, hand tracking has attracted significant attention since it would enable many useful practical applications. However, hand tracking is still a very challenging problem which cannot be considered solved. The fact that almost every aspect of hand appearance can change is the fundamental reason for this difficulty. This thesis focused on 2D-based hand tracking in high-speed camera videos. During the project, a toolbox for this purpose was collected which contains nine different tracking methods. In the experiments, these methods were tested and compared against each other with both high-speed videos recorded during the project and publicly available normal speed videos. The results revealed that tracking accuracies varied considerably depending on the video and the method. Therefore, no single method was clearly the best in all videos, but three methods, CT, HT, and TLD, performed better than the others overall. Moreover, the results provide insights about the suitability of each method to different types and situations of hand tracking.

Process modeling method for electric accessories manufacturing enterprise

The theoretical research of the study focused to business process management and business process modeling, the goal was to found a new business process modeling method for electrical accessories manufacturing enterprise. The focus was to find few options for business process modeling methods where company could have chosen the best one for its needs The study was carried out as a qualitative research with an action study and a case study as the most important ways collect data. In the empirical part of the study examples of company’s processes modeled with the new modeling method and process modeling process are presented. The new way of modeling processes improves especially visual presentation of the processes and improves the understanding how employees should work in the organizational interfaces of the process and in the interfaces between different processes. The results of the study is a new unified way to model company’s processes, which makes it easier to understand and create the process models. This improved readability makes it possible to reduce the costs that were created from the unclear old process models.

Point Of No Return: Dope Sick Love and Reindeerspotting as Documentaries of Addiction

In this postgraduate thesis the focus is on two documentary films, Renaud Brothers's Dope Sick Love (2005) and Joonas Neuvonen's Reindeerspotting (2010). In both of these films, addicts are on limelight. The directors of both films follow addicts and their everyday lives on streets with handheld cameras. This thesis will analyze and compare the narratives of these addicts. Do these documentaries affirm to the existing conventions, according to which representations of addicts and addiction are always either miraculous survival stories or stories, which always end up in utter decadence. The main questions this thesis proposes, are how addicts and their narratives are being handled in the two case study films, and how the drug cultures depicted in the films differ from each other. What changes between New York City and Rovaniemi, Northern Finland, and what remains the same. The academic and theoretical framework of this thesis consists of Susanna Helke's doctoral thesis Nanookin jälki, where the history of documentary films' methods and approaches are discussed. Additionally, the thinking is heavily informed by such poststructuralist writers as Roland Barthes, Michel Foucault, Louis Althusser, Stuart Hall and Chris Weedon.

Power Consumption Measurement and Scenario Based Energy Model in Wearable Computing Applications

The power is still today an issue in wearable computing applications. The aim of the present paper is to raise awareness of the power consumption of wearable computing devices in specific scenarios to be able in the future to design energy efficient wireless sensors for context recognition in wearable computing applications. The approach is based on a hardware study. The objective of this paper is to analyze and compare the total power consumption of three representative wearable computing devices in realistic scenarios such as Display, Speaker, Camera and microphone, Transfer by Wi-Fi, Monitoring outdoor physical activity and Pedometer. A scenario based energy model is also developed. The Samsung Galaxy Nexus I9250 smartphone, the Vuzix M100 Smart Glasses and the SimValley Smartwatch AW-420.RX are the three devices representative of their form factors. The power consumption is measured using PowerTutor, an android energy profiler application with logging option and using unknown parameters so it is adjusted with the USB meter. The result shows that the screen size is the main parameter influencing the power consumption. The power consumption for an identical scenario varies depending on the wearable devices meaning that others components, parameters or processes might impact on the power consumption and further study is needed to explain these variations. This paper also shows that different inputs (touchscreen is more efficient than buttons controls) and outputs (speaker sensor is more efficient than display sensor) impact the energy consumption in different way. This paper gives recommendations to reduce the energy consumption in healthcare wearable computing application using the energy model.

Capital investments planning and life cycle simulations for the new valves manufacturing facility in Russia

The focus of the research is on the derivation of the valid and reliable performance results regarding establishment and launching of the new full-scale industrial facility, considering the overall current conditions for the project realization in and out of Russia. The study demonstrates the process of the new facility concept development, with following perfor-mance calculation, comparative analyzes conduction, life-cycle simulations, performance indicators derivation and project`s sustainability evaluation. To unite and process the entire input parameters complexity, regards the interlacing between the project`s internal technical and commercial sides on the one hand, and consider all the specifics of the Russian conditions for doing business on the other hand, was developed the unique model for the project`s performance calculation, simulations and results representation. The complete research incorporates all corresponding data to substantiate the assigned facility`s design, sizing and output capacity for high quality and cost efficient ferrous pipe-line accessories manufacturing, as well as, demonstrates that this project could be suc-cessfully realized in current conditions in Russia and highlights the room for significant performance and sustainability improvements based on the indexes of the derived KPIs.

Dynamic modeling and simulation of the airflow cleaning device

The objective of the work is to study the flow behavior and to support the design of air cleaner by dynamic simulation.In a paper printing industry, it is necessary to monitor the quality of paper when the paper is being produced. During the production, the quality of the paper can be monitored by camera. Therefore, it is necessary to keep the camera lens clean as wood particles may fall from the paper and lie on the camera lens. In this work, the behavior of the air flow and effect of the airflow on the particles at different inlet angles are simulated. Geometries of a different inlet angles of single-channel and double-channel case were constructed using ANSYS CFD Software. All the simulations were performed in ANSYS Fluent. The simulation results of single-channel and double-channel case revealed significant differences in the behavior of the flow and the particle velocity. The main conclusion from this work are in following. 1) For the single channel case the best angle was 0 degree because in that case, the air flow can keep 60% of the particles away from the lens which would otherwise stay on lens. 2) For the double channel case, the best solution was found when the angle of the first inlet was 0 degree and the angle of second inlet was 45 degree . In that case, the airflow can keep 91% of particles away from the lens which would otherwise stay on lens.

Real-time monitoring of laser scribing process utilizing high-speed camera

Currently, laser scribing is growing material processing method in the industry. Benefits of laser scribing technology are studied for example for improving an efficiency of solar cells. Due high-quality requirement of the fast scribing process, it is important to monitor the process in real time for detecting possible defects during the process. However, there is a lack of studies of laser scribing real time monitoring. Commonly used monitoring methods developed for other laser processes such a laser welding, are sufficient slow and existed applications cannot be implemented in fast laser scribing monitoring. The aim of this thesis is to find a method for laser scribing monitoring with a high-speed camera and evaluate reliability and performance of the developed monitoring system with experiments. The laser used in experiments is an IPG ytterbium pulsed fiber laser with 20 W maximum average power and Scan head optics used in the laser is Scanlab’s Hurryscan 14 II with an f100 tele-centric lens. The camera was connected to laser scanner using camera adapter to follow the laser process. A powerful fully programmable industrial computer was chosen for executing image processing and analysis. Algorithms for defect analysis, which are based on particle analysis, were developed using LabVIEW system design software. The performance of the algorithms was analyzed by analyzing a non-moving image from the scribing line with resolution 960x20 pixel. As a result, the maximum analysis speed was 560 frames per second. Reliability of the algorithm was evaluated by imaging scribing path with a variable number of defects 2000 mm/s when the laser was turned off and image analysis speed was 430 frames per second. The experiment was successful and as a result, the algorithms detected all defects from the scribing path. The final monitoring experiment was performed during a laser process. However, it was challenging to get active laser illumination work with the laser scanner due physical dimensions of the laser lens and the scanner. For reliable error detection, the illumination system is needed to be replaced.