Kinematische und dynamische Analyse des Schwimmstarts vom Block unter besonderer Berücksichtigung der Eintauch- und Übergangsphase

Der Startabschnitt im Schwimmen stellt insbesondere in den Sprintwettbewerben über 50m und 100m eine leistungsdeterminierende Größe dar. Gerade in den letzten Jahren ist das Aufkommen von neuen Starttechniken, die zu einer Optimierung der Startleistung führen sollen, zu beobachten. Ziel der Dissertation ist es, anhand einer kinematischen und dynamischen Analyse des Starts, Aussagen über die wesentlichen Einflussfaktoren auf die Leistung zu treffen. Hierzu wird eine biomechanische Analyse von Grab- und Trackstarts unter Einbeziehung der Eintauch- und Übergangsphase durchgeführt. Für die Entwicklung von Trainingsempfehlungen sind solche Zusammenhangsanalysen unerlässlich. Im theoretischen Teil der Dissertation wird die morphologische Phasenstruktur der Startbewegung im Schwimmen thematisiert. Hierbei werden unterschiedliche Modelle vorgestellt und miteinander verglichen. Durch den Vergleich der publizierten Studien zum Schwimmstart können sowohl Aussagen zu den leistungsrelevanten kinematischen und den dynamischen Kennwerten der Startbewegung zusammengefasst werden als auch Gemeinsamkeiten und Unterschiede in der Untersuchungs-methodik aufdeckt und in Relation zu der eigenen Studie gestellt werden. Im methodischen Teil wird sich zunächst mit Problemfeldern in der Datenerhebung (Berechnung der Linsenfehler und der Genauigkeit bei der Bestimmung unterschiedlicher Erhebungsmethoden der Abfluggeschwindigkeit) auseinander gesetzt. Weiterhin wird eine Methodenbeschreibung des eingesetzten ABKuS-Verfahrens beschrieben. Hierbei handelt es sich um ein selbstentwickeltes Berechnungsverfahren zur Bestimmung von Körpersegmentkoordinaten unter unscharfen Sichtbedingungen. Widrige Aufnahmebedingungen stellen insbesondere für markerlose kinematische Analysen ein Problem dar. Dies gilt insbesondere für den Eintauchvorgang beim Schwimmstart, da hier durch das Mitreißen von Luftteilchen erhebliche Sichtbehinderungen auftreten. Aus diesem Grund gibt es bisher für solche markerlosen Analysen noch keine etablierten Verfahren gibt. Für die eigentliche Hauptuntersuchung konnte eine leistungsstarke Probandenstichprobe gewonnen werden. Gegenstand der zentralen Messung war der Startsprung, den die Probanden innerhalb eines Sprinttests über 25m bzw. 50m durchführten. Die Bodenreaktionskräfte werden dabei durch den mobilen Messstartblock erhoben. Gleichzeitig werden die Blockaktionen und die Flugphase durch eine digitale Kamera und die Eintauschbewegung durch eine zweite Kamera in einem Unterwassergehäuse aufgezeichnet. Die so ermittelten umfangreichen Daten gehen in die weiteren statistischen Analysen ein. Wesentlich für die statistischen Analysen ist die Einteilung der Schwimmer und Schwimmerinnen hinsichtlich ihrer Starttechnik. Bei der Startbewegung wurde zunächst zwischen einem Track- und einem Grabstart unterschieden. Weiter wurde dann eine Einteilung des Trackstarts hinsichtlich der Ausgangsposition vorgenommen. Ausgehend von dieser Einteilung wurde der Einfluss der Starttechnik auf die Kennwerte des Startverhaltens analysiert. Die Verlaufskurven der Bodenreaktionskräfte wurden mit einer Hauptkomponentenanalyse (PCA) hinsichtlich der funktionellen und zufälligen Variation in den zeitabhängigen, koordinativen Mustern analysiert. Durch eine Clusteranalyse konnten unterschiedliche Kraftverläufe in der Anschwung- und Absprungphase identifiziert werden. Zur Bestimmung der relevanten Einflussfaktoren in der Eintauchphase wurde eine Hauptkomponentenanalyse mit einer rotierten Komponentenmatrix durchgeführt. Darüberhinaus wurden mittels einer Clusteranalyse unterschiedliche Eintauchstrategien aufgedeckt. Die komplexen Zusammenhänge des Startverhaltens wurden auf Basis theoretisch abgeleiteter Erklärungsmodelle überprüft. Hierbei kamen Strukturgleichungsmodelle zum Einsatz. Die Diskussion beinhaltet das Aufzeigen von Unterschieden bzw. die Erweiterung des Wissensstandes auf Basis der Forschungsergebnisse im Vergleich zu international anerkannten Forschungsarbeiten. Dabei wird auf die besondere Bedeutung der Eintauchphase, der in der bisherigen Forschung wenig Beachtung geschenkt wurde, hingewiesen.

Contact Sensing: A Sequential Decision Approach to Sensing Manipulation Contact

This paper describes a new statistical, model-based approach to building a contact state observer. The observer uses measurements of the contact force and position, and prior information about the task encoded in a graph, to determine the current location of the robot in the task configuration space. Each node represents what the measurements will look like in a small region of configuration space by storing a predictive, statistical, measurement model. This approach assumes that the measurements are statistically block independent conditioned on knowledge of the model, which is a fairly good model of the actual process. Arcs in the graph represent possible transitions between models. Beam Viterbi search is used to match measurement history against possible paths through the model graph in order to estimate the most likely path for the robot. The resulting approach provides a new decision process that can be use as an observer for event driven manipulation programming. The decision procedure is significantly more robust than simple threshold decisions because the measurement history is used to make decisions. The approach can be used to enhance the capabilities of autonomous assembly machines and in quality control applications.

Understanding Subsystems in Biology through Dimensionality Reduction, Graph Partitioning and Analytical Modeling

Biological systems exhibit rich and complex behavior through the orchestrated interplay of a large array of components. It is hypothesized that separable subsystems with some degree of functional autonomy exist; deciphering their independent behavior and functionality would greatly facilitate understanding the system as a whole. Discovering and analyzing such subsystems are hence pivotal problems in the quest to gain a quantitative understanding of complex biological systems. In this work, using approaches from machine learning, physics and graph theory, methods for the identification and analysis of such subsystems were developed. A novel methodology, based on a recent machine learning algorithm known as non-negative matrix factorization (NMF), was developed to discover such subsystems in a set of large-scale gene expression data. This set of subsystems was then used to predict functional relationships between genes, and this approach was shown to score significantly higher than conventional methods when benchmarking them against existing databases. Moreover, a mathematical treatment was developed to treat simple network subsystems based only on their topology (independent of particular parameter values). Application to a problem of experimental interest demonstrated the need for extentions to the conventional model to fully explain the experimental data. Finally, the notion of a subsystem was evaluated from a topological perspective. A number of different protein networks were examined to analyze their topological properties with respect to separability, seeking to find separable subsystems. These networks were shown to exhibit separability in a nonintuitive fashion, while the separable subsystems were of strong biological significance. It was demonstrated that the separability property found was not due to incomplete or biased data, but is likely to reflect biological structure.

Mobile P2Ping: A Super-Peer based Structured P2P System Using a Fleet of City Buses

Recently, researchers have introduced the notion of super-peers to improve signaling efficiency as well as lookup performance of peer-to-peer (P2P) systems. In a separate development, recent works on applications of mobile ad hoc networks (MANET) have seen several proposals on utilizing mobile fleets such as city buses to deploy a mobile backbone infrastructure for communication and Internet access in a metropolitan environment. This paper further explores the possibility of deploying P2P applications such as content sharing and distributed computing, over this mobile backbone infrastructure. Specifically, we study how city buses may be deployed as a mobile system of super-peers. We discuss the main motivations behind our proposal, and outline in detail the design of a super-peer based structured P2P system using a fleet of city buses.

Self-Assembly of Stimuli-Responsive Water-Soluble [60]Fullerene End-Capped Ampholytic Block Copolymer

Well-defined, water-soluble, pH and temperature stimuli-responsive [60]fullerene (C₆₀) containing ampholytic block copolymer of poly((methacrylic acid)-block-(2-(dimethylamino)ethyl methacrylate))-block–C₆₀ (P(MAA-b-DMAEMA)-b-C₆₀) was synthesized by the atom transfer radical polymerization (ATRP) technique. The self-assembly behaviour of the C₆₀ containing polyampholyte in aqueous solution was characterized by dynamic light scattering (DLS), and transmission electron microscopy. This amphiphilic mono-C₆₀ end-capped block copolymer shows enhanced solubility in aqueous medium at room and elevated temperatures and at low and high pH but phase-separates at intermediate pH of between 5.4 and 8.8. The self assembly of the copolymer is different from that of P(MAA-b-DMAEMA). Examination of the association behavior using DLS revealed the co-existence of unimers and aggregates at low pH at all temperatures studied, with the association being driven by the balance of hydrophobic and electrostatic interactions. Unimers and aggregates of different microstructures are also observed at high pH and at temperatures below the lower critical solution temperature (LCST) of PDMAEMA. At high pH and at temperatures above the LCST of PDMAEMA, the formation of micelles and aggregates co-existing in solution is driven by the combination of hydrophobic, electrostatic, and charge-transfer interactions.

Synthesis and Aggregation Behavior of Pluronic F87/Poly(acrylic acid) Block Copolymer with Doxorubicin

Poly(acrylic acid) (PAA) was grafted onto both termini of Pluronic F87 (PEO₆₇-PPO₃₉-PEO₆₇) via atom transfer radical polymerization to produce a novel muco-adhesive block copolymer PAA₈₀-b-F₈₇-b-PAA₈₀. It was observed that PAA₈₀-F₈₇-PAA₈₀ forms stable complexes with weakly basic anti-cancer drug, Doxorubicin. Thermodynamic changes due to the drug binding to the copolymer were assessed at different pH by isothermal titration calorimetry (ITC). The formation of the polymer/drug complexes was studied by turbidimetric titration and dynamic light scattering. Doxorubicin and PAA-b-F87-b-PAA block copolymer are found to interact strongly in aqueous solution via non-covalent interactions over a wide pH range. At pH>4.35, drug binding is due to electrostatic interactions. Hydrogen-bond also plays a role in the stabilization of the PAA₈₀-F₈₇-PAA₈₀/DOX complex. At pH 7.4 (α=0.8), the size and stability of polymer/drug complex depend strongly on the doxorubicin concentration. When CDOX <0.13mM, the PAA₈₀-F₈₇-PAA₈₀ copolymer forms stable inter-chain complexes with DOX (110 ~ 150 nm). When CDOX >0.13mM, as suggested by the light scattering result, the reorganization of the polymer/drug complex is believed to occur. With further addition of DOX (CDOX >0.34mM), sharp increase in the turbidity indicates the formation of large aggregates, followed by phase separation. The onset of a sharp enthalpy increase corresponds to the formation of a stoichiometric complex.

Vision-based localization of an underwater robot in a structured environment

This paper presents a vision-based localization approach for an underwater robot in a structured environment. The system is based on a coded pattern placed on the bottom of a water tank and an onboard down looking camera. Main features are, absolute and map-based localization, landmark detection and tracking, and real-time computation (12.5 Hz). The proposed system provides three-dimensional position and orientation of the vehicle along with its velocity. Accuracy of the drift-free estimates is very high, allowing them to be used as feedback measures of a velocity-based low-level controller. The paper details the localization algorithm, by showing some graphical results, and the accuracy of the system

Calibration of a Structured Light-Based Stereo Catadioptric Sensor

Catadioptric sensors are combinations of mirrors and lenses made in order to obtain a wide field of view. In this paper we propose a new sensor that has omnidirectional viewing ability and it also provides depth information about the nearby surrounding. The sensor is based on a conventional camera coupled with a laser emitter and two hyperbolic mirrors. Mathematical formulation and precise specifications of the intrinsic and extrinsic parameters of the sensor are discussed. Our approach overcomes limitations of the existing omni-directional sensors and eventually leads to reduced costs of production

Robust decoupled visual servoing based on structured light

This paper focuses on the problem of realizing a plane-to-plane virtual link between a camera attached to the end-effector of a robot and a planar object. In order to do the system independent to the object surface appearance, a structured light emitter is linked to the camera so that 4 laser pointers are projected onto the object. In a previous paper we showed that such a system has good performance and nice characteristics like partial decoupling near the desired state and robustness against misalignment of the emitter and the camera (J. Pages et al., 2004). However, no analytical results concerning the global asymptotic stability of the system were obtained due to the high complexity of the visual features utilized. In this work we present a better set of visual features which improves the properties of the features in (J. Pages et al., 2004) and for which it is possible to prove the global asymptotic stability

Plane-to-plane positioning from image-based visual servoing and structured light

In this paper we face the problem of positioning a camera attached to the end-effector of a robotic manipulator so that it gets parallel to a planar object. Such problem has been treated for a long time in visual servoing. Our approach is based on linking to the camera several laser pointers so that its configuration is aimed to produce a suitable set of visual features. The aim of using structured light is not only for easing the image processing and to allow low-textured objects to be treated, but also for producing a control scheme with nice properties like decoupling, stability, well conditioning and good camera trajectory

A new optimised De Bruijn coding strategy for structured light patterns

Coded structured light is an optical technique based on active stereovision that obtains the shape of objects. One shot techniques are based on projecting a unique light pattern with an LCD projector so that grabbing an image with a camera, a large number of correspondences can be obtained. Then, a 3D reconstruction of the illuminated object can be recovered by means of triangulation. The most used strategy to encode one-shot patterns is based on De Bruijn sequences. In This work a new way to design patterns using this type of sequences is presented. The new coding strategy minimises the number of required colours and maximises both the resolution and the accuracy

Implementation of a robust coded structured light technique for dynamic 3D measurements

This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of patterns onto a measuring surface and grabbing images of every projection with a camera. Analyzing the pattern deformations that appear in the images, 3D information of the surface can be calculated. The implemented technique projects a unique pattern so that it can be used to measure moving surfaces. The structure of the pattern is a grid where the color of the slits are selected using a De Bruijn sequence. Moreover, since both axis of the pattern are coded, the cross points of the grid have two codewords (which permits to reconstruct them very precisely), while pixels belonging to horizontal and vertical slits have also a codeword. Different sets of colors are used for horizontal and vertical slits, so the resulting pattern is invariant to rotation. Therefore, the alignment constraint between camera and projector considered by a lot of authors is not necessary

SLAM using an Imaging Sonar for Partially Structured Underwater Environments

In this paper we describe a system for underwater navigation with AUVs in partially structured environments, such as dams, ports or marine platforms. An imaging sonar is used to obtain information about the location of planar structures present in such environments. This information is incorporated into a feature-based SLAM algorithm in a two step process: (I) the full 360deg sonar scan is undistorted (to compensate for vehicle motion), thresholded and segmented to determine which measurements correspond to planar environment features and which should be ignored; and (2) SLAM proceeds once the data association is obtained: both the vehicle motion and the measurements whose correct association has been previously determined are incorporated in the SLAM algorithm. This two step delayed SLAM process allows to robustly determine the feature and vehicle locations in the presence of large amounts of spurious or unrelated measurements that might correspond to boats, rocks, etc. Preliminary experiments show the viability of the proposed approach

Web Graph

Slides and an essay on the Web Graph, search engines and how Google calculates Page Rank