TECHNIQUE PROBLEMS IN WOMEN COMBINED EVENTS Objectives: The aim of this work is to describe and find out the mistakes of technique in each technical event of heptathlon. The next goal of this analysis was estimating technical levels of competitress's technical performance with attempt about correction of technical performance. Targets: Gathering of required documentation - letters and records of athletic training and previous seasons' competitions. (training diaries, videorecordings and analysis completed with own memories and experiences.) Further is a formation and comparison of photo sequences made from loaded videorecordings. Methods: In our thesis we used a method of analysis and a method of comparison. We apllied the method of analysis in each event and the method of comparison in comparing of the photo sequences in one event or searching of common signs and mistakes of technical performance. Results: We found out the mistakes in competitress's technical performance of heptathlon's events. We confirmed that the discipline with smallest efficiency contain biggest (basic) mistakes in technical performance, and this discipline was trained in youth infrequently. We found out similar mistakes of technique, that are detect in all disciplines. We found out low differentiation in competitress's...

This report discusses my internship with the Lakefront Arena at the University of New Orleans. Included in this report is a breakdown of the Arena’s management and facilities, internship overview, organization analysis based upon my observations, best practices comparing similar venues, and recommendations to the Lakefront Arena. The internship concluded with a job offer as the interim Campus Booking Coordinator, to which I accepted.

Event sourcing has caught the interest of many developers due to desirable features such as an implicit audit log and a simplified database design. This thesis presents a case study with a focus on managing the challenges of versioning and correcting incorrect states. The techniques upcasting and support multiple versions are investigated for handling versioning within event sourcing. Partial and full reversal techniques are applied to investigate the correction of incorrect states. The techniques will be implemented within an event sourcing prototype written in F# to demonstrate how the techniques behave in practice, which can be of use for developers that want to endeavor into event sourcing projects. The results of the study show that all investigated techniques can handle the associated challenges. The comparison of techniques shows the advantages and disadvantages associated with the techniques when implemented in the prototype.

We perform an event-by-event hydrodynamic analysis for Pb-Pb collisions at the incident energy of sqrt(sNN) = 2.76TeV, also studying the effects of two equations of state under the same initial conditions and freeze-out scenario: one characterized by a critical point and the other based on Lattice QCD (Quantum Chromodynamics) calculations. The observables of interest are particle spectra in terms of pseudorapidity and transverse momentum, as well as flow harmonics, which are coefficients that carry information on the initial anisotropies of the system throughout its evolution. Those are computed and compared with experimental Large Hadron Collider (LHC) data. There are slight differences in the results for each equation of state, caused by their distinct features. Lastly, the LHC-based calculations are compared with previous works related to the Relativistic Heavy-Ion Collider (RHIC) experimental data. The main techniques of the latter are performed in this work, which results in differences between some aspects in the outcome for each collision type, from initial energy distributions to freeze-out temperatures. / É feita uma análise de hidrodinâmica evento-por-evento para colisões de Pb-Pb à energia incidente de sqrt(sNN) = 2.76TeV. Estudamos os efeitos de duas equações de estado sob as mesmas condições iniciais e desacoplamento: uma é caracterizada por um ponto crítico e a outra é baseada em cálculos de Lattice QCD (Cromodinâmica Quântica). Os observáveis de interesse são os espectros de partículas em termos da pseudo rapidez e momento transversal, assim como os coeficientes harmônicos de Fourier que, por sua vez, carregam as anisotropias iniciais do sistema durante toda a sua evolução. Tais observáveis são calculados e comparados com dados experimentais do Large Hadron Collider (LHC). Por fim, os cálculos baseados em parâmetros referentes às energias do LHC são comparados com trabalhos anteriores feitos com base em dados experimentais do Relativistic Heavy-Ion Collider (RHIC). Os principais métodos usados no caso anterior são aplicados a este trabalho, o que resulta em algumas diferenças entre os resultados dos dois tipos de colisão, desde a distribuição de energia inicial a temperaturas de freeze-out.

We perform an event-by-event hydrodynamic analysis for Pb-Pb collisions at the incident energy of sqrt(sNN) = 2.76TeV, also studying the effects of two equations of state under the same initial conditions and freeze-out scenario: one characterized by a critical point and the other based on Lattice QCD (Quantum Chromodynamics) calculations. The observables of interest are particle spectra in terms of pseudorapidity and transverse momentum, as well as flow harmonics, which are coefficients that carry information on the initial anisotropies of the system throughout its evolution. Those are computed and compared with experimental Large Hadron Collider (LHC) data. There are slight differences in the results for each equation of state, caused by their distinct features. Lastly, the LHC-based calculations are compared with previous works related to the Relativistic Heavy-Ion Collider (RHIC) experimental data. The main techniques of the latter are performed in this work, which results in differences between some aspects in the outcome for each collision type, from initial energy distributions to freeze-out temperatures. / É feita uma análise de hidrodinâmica evento-por-evento para colisões de Pb-Pb à energia incidente de sqrt(sNN) = 2.76TeV. Estudamos os efeitos de duas equações de estado sob as mesmas condições iniciais e desacoplamento: uma é caracterizada por um ponto crítico e a outra é baseada em cálculos de Lattice QCD (Cromodinâmica Quântica). Os observáveis de interesse são os espectros de partículas em termos da pseudo rapidez e momento transversal, assim como os coeficientes harmônicos de Fourier que, por sua vez, carregam as anisotropias iniciais do sistema durante toda a sua evolução. Tais observáveis são calculados e comparados com dados experimentais do Large Hadron Collider (LHC). Por fim, os cálculos baseados em parâmetros referentes às energias do LHC são comparados com trabalhos anteriores feitos com base em dados experimentais do Relativistic Heavy-Ion Collider (RHIC). Os principais métodos usados no caso anterior são aplicados a este trabalho, o que resulta em algumas diferenças entre os resultados dos dois tipos de colisão, desde a distribuição de energia inicial a temperaturas de freeze-out.

Doctor of Philosophy / Department of Psychological Sciences / Lester Loschky / Everyday event perception requires us to perceive a nearly constant stream of dynamic information. Although we perceive these events as being continuous, there is ample evidence that we “chunk” our experiences into manageable bits (Zacks & Swallow, 2007). These chunks can occur at fine and coarse grains, with fine event segments being nested within coarse-grained segments. Individual differences in boundary detection are important predictors for subsequent memory encoding and retrieval and are relevant to both normative and pathological spectra of cognition. However, the nature of attention in relation to event structure is not yet well understood. Attention is the process which suppresses irrelevant information while facilitating the extraction of relevant information. Though attentional changes are known to occur around event boundaries, it is still not well understood when and where these changes occur. A newly developed method for measuring attention, the Gaze-Contingent Useful Field of View Task (GC-UFOV; Gaspar et al., 2016; Ringer, Throneburg, Johnson, Kramer, & Loschky, 2016; Ward et al., 2018) provides a means of measuring attention across the visual field (a) in simulated real-world environments and (b) independent of eccentricity-dependent visual constraints. To measure attention, participants performed the GC-UFOV task while watching pre-segmented videos of everyday activities (Eisenberg & Zacks, 2016; Sargent et al., 2013). Attention was probed from 4 seconds prior to 6 seconds after coarse, fine, and non-event boundaries. Afterward, participants’ memories for objects and event order were tested, followed by event segmentation. Attention was predicted to either become impaired (attentional impairment hypothesis), or it was predicted to be broadly distributed at event boundaries and narrowed at event middles (the ambient-to-focal shift hypothesis). The results showed marginal evidence for both attentional impairment and ambient-to-focal shift hypotheses, however model fitness was equal for both models. The results of this study were then used to develop a proposed program of research to further explore the nature of attention during event perception, as well as the ability of these two hypotheses to explain the relationship between attention and memory during real-world event perception.

Recently numerous emerging applications, ranging from on-line financial transactions, RFID based supply chain management, traffic monitoring to real-time object monitoring, generate high-volume event streams. To meet the needs of processing event data streams in real-time, Complex Event Processing technology (CEP) has been developed with the focus on detecting occurrences of particular composite patterns of events. By analyzing and constructing several real-world CEP applications, we found that CEP needs to be extended with advanced services beyond detecting pattern queries. We summarize these emerging needs in three orthogonal directions. First, for applications which require access to both streaming and stored data, we need to provide a clear semantics and efficient schedulers in the face of concurrent access and failures. Second, when a CEP system is deployed in a sensitive environment such as health care, we wish to mitigate possible privacy leaks. Third, when input events do not carry the identification of the object being monitored, we need to infer the probabilistic identification of events before feed them to a CEP engine. Therefore this dissertation discusses the construction of a framework for extending CEP to support these critical services. First, existing CEP technology is limited in its capability of reacting to opportunities and risks detected by pattern queries. We propose to tackle this unsolved problem by embedding active rule support within the CEP engine. The main challenge is to handle interactions between queries and reactions to queries in the high-volume stream execution. We hence introduce a novel stream-oriented transactional model along with a family of stream transaction scheduling algorithms that ensure the correctness of concurrent stream execution. And then we demonstrate the proposed technology by applying it to a real-world healthcare system and evaluate the stream transaction scheduling algorithms extensively using real-world workload. Second, we are the first to study the privacy implications of CEP systems. Specifically we consider how to suppress events on a stream to reduce the disclosure of sensitive patterns, while ensuring that nonsensitive patterns continue to be reported by the CEP engine. We formally define the problem of utility-maximizing event suppression for privacy preservation. We then design a suite of real-time solutions that eliminate private pattern matches while maximizing the overall utility. Our first solution optimally solves the problem at the event-type level. The second solution, at event-instance level, further optimizes the event-type level solution by exploiting runtime event distributions using advanced pattern match cardinality estimation techniques. Our experimental evaluation over both real-world and synthetic event streams shows that our algorithms are effective in maximizing utility yet still efficient enough to offer near real time system responsiveness. Third, we observe that in many real-world object monitoring applications where the CEP technology is adopted, not all sensed events carry the identification of the object whose action they report on, so called €œnon-ID-ed€� events. Such non-ID-ed events prevent us from performing object-based analytics, such as tracking, alerting and pattern matching. We propose a probabilistic inference framework to tackle this problem by inferring the missing object identification associated with an event. Specifically, as a foundation we design a time-varying graphic model to capture correspondences between sensed events and objects. Upon this model, we elaborate how to adapt the state-of-the-art Forward-backward inference algorithm to continuously infer probabilistic identifications for non-ID-ed events. More important, we propose a suite of strategies for optimizing the performance of inference. Our experimental results, using large-volume streams of a real-world health care application, demonstrate the accuracy, efficiency, and scalability of the proposed technology.

Vad är det egentligen som gör att volontärer vill återkomma år efter år? I analysen i denna uppsats kommer vi till slutsatsen att det finns många faktorer som påverkar och bland dessa beror motivationen på vilket steg på Maslows behovstrappa som man befinner sig på just nu. Alltså är orsaken för att återvända individuell. För att undersöka frågan vidare genomfördes samtal med två fokusgrupper. Den ena bestod av elever från högskoleutbildningen Event management och den andra bestod av individer som alla hade volontärarbetat på återkommande evenemang men som inte läste Eventutbildningen. Vad som kan konstateras i denna uppsats är att dessa två grupper skiljde sig åt i vilken typ av motivation som krävdes för att de skulle vilja återkomma som volontärer. Eventstudenterna lade större vikt vid yrkesmässiga fördelar som att få erfarenheter och intyg på arbetet att använda vid framtida arbetsansökningar. Här var det istället viktigare för den andra gruppen med gemenskap och att få något fysiskt att ta med sig därifrån, som en t-shirt eller liknande. De båda grupperna enades dock om att det var viktigt att det var en rolig upplevelse, att jobbet de utförde uppfattades som meningsfullt och att man fick vissa små fördelar för att man volontärarbetade, som till exempel gratis mat. När det sedan kommer till hur man ska leda dessa typer av grupper vore det troligen bäst med en transformerad ledare åt eventstudenterna, då denna är mer inriktad mot mål, kunskap och expertis. Den andra gruppen skulle troligtvis gynnas mer av en tjänande ledare som lägger sin tonvikt vid personliga relationer. / Program: Event Management

The Semantic Web provides a framework for semantically annotating data on the web, and the Resource Description Framework (RDF) supports the integration of structured data represented in heterogeneous formats. Traditionally, the Semantic Web has focused primarily on more or less static data, but information on the web today is becoming increasingly dynamic. RDF Stream Processing (RSP) systems address this issue by adding support for streaming data and continuous query processing. To some extent, RSP systems can be used to perform complex event processing (CEP), where meaningful high-level events are generated based on low-level events from multiple sources; however, there are several challenges with respect to using RSP in this context. Event models designed to represent static event information lack several features required for CEP, and are typically not well suited for stream reasoning. The dynamic nature of streaming data also greatly complicates the development and validation of RSP queries. Therefore, reusing queries that have been prepared ahead of time is important to be able to support real-time decision-making. Additionally, there are limitations in existing RSP implementations in terms of both scalability and expressiveness, where some features required in CEP are not supported by any of the current systems. The goal of this thesis work has been to address some of these challenges and the main contributions of the thesis are: (1) an event model ontology targeted at supporting CEP; (2) a model for representing parameterized RSP queries as reusable templates; and (3) an architecture that allows RSP systems to be integrated for use in CEP. The proposed event model tackles issues specifically related to event modeling in CEP that have not been sufficiently covered by other event models, includes support for event encapsulation and event payloads, and can easily be extended to fit specific use-cases. The model for representing RSP query templates was designed as an extension to SPIN, a vocabulary that supports modeling of SPARQL queries as RDF. The extended model supports the current version of the RSP Query Language (RSP-QL) developed by the RDF Stream Processing Community Group, along with some of the most popular RSP query languages. Finally, the proposed architecture views RSP queries as individual event processing agents in a more general CEP framework. Additional event processing components can be integrated to provide support for operations that are not supported in RSP, or to provide more efficient processing for specific tasks. We demonstrate the architecture in implementations for scenarios related to traffic-incident monitoring, criminal-activity monitoring, and electronic healthcare monitoring.

<p>Syftet med denna uppsats är att öka förståelsen för användning och tillämpning av Event Marketing. Varför företag använder sig av det samt vad eventbyråer tror är företagens motiv. Event Marketing innebär helt enkel att marknadsföra en produkt eller en tjänst genom ett evenemang. Eventet samlar en viss målgrupp i både tid och rum men är på så sätt även begränsad i antalet kontakter som den skapar.</p><p>Metoden som har använts för denna uppsats är av kvalitativ karaktär. Under arbetets gång har vi genomfört fyra intervjuer som flerfallsstudier. Två av intervjuerna har utförts på eventyråerna PS Communication och Minnesota Communication samt två intervjuer med eventansvariga på företagen Lugna Favoriter och Swedbank. Resultaten har relaterats till befintliga teorier för att bättre förstå motiven bakom användandet av Event Marketing.</p><p>De teorier som behandlas i uppsatsen är transaktionsmarknadsföring, relationsmarknadsföring, värdestjärnan, värdekejdan, word-of-mouth, involveringsteorin och Event Marketing. Teorierna redovisas ingående och varför de är viktiga för denna uppsats.</p><p>Analysen visar att Event Marketing anses vara ett utmärkt verktyg för att stärka relationer men även lämpligt att användas i syfte att öka försäljningen av ett företags produkt.</p>