Fully Distributed Robust Singular Value Decomposition

Articulated Funiculator is a new and innovative concept developed by Tyréns forachieving a more efficient vertical transportation with a higher space utilization.Having a variety of merits, i.e.: simple construction, direct electromagneticthrust propulsion, and high safety and reliability in contrast to rotary inductionmotor, linear induction motor (LIM) is considered to be one of the cases as thepropulsion system for Articulated Funiculator. The thesis is then carried outwith the purpose of determining the feasibility of this study case by designing theLIMs meeting some specific requirements. The detailed requirements include: aset of identical LIMs are required to jointly produce the thrust that is sufficientto vertically raise the moving system up to 2 m/s2; the size of the LIMs cannotexceed the specification of the funiculator; the maximum flux density in the airgap for each LIM is kept slightly below 0.6 T; no iron saturation of any part ofthe LIMs is allowed.In this thesis report, an introduction of LIM is firstly presented. Followingthe introduction, relevant literature has been reviewed for a strengthenedtheoretical fundamentals and a better understanding of LIM’s history and applications. A general classification of LIMs is subsequently introduced. In addtion,an analytical model of the single-sided linear induction motor (SLIM) has beenbuilt based on an approximate equivalent circuit, and the preliminary geometryof the SLIM is thereby obtained. In order to acquire a more comprehensiveunderstanding of the machine characteristics and a more precise SLIM design, atwo-dimensional finite element method (2D-FEM) analysis is performed initiallyaccording to the preliminary geometry. The results, unfortunately, turn out tobe iron severely saturated in the teeth and yoke, and a excessive maximumvalue of air-gap flux density. Specific to the problems, different parameters ofthe SLIM are marginally adjusted and a series of design scenarios are run inFlux2D for 8-pole and 6-pole SLIM. The comparisons between the results areconducted and the final solution is lastly chosen among them.Articulated Funiculator är ett nytt och innovativt koncept som utvecklats av Tyréns för att möjilggöra en mer effektiv vertikal transport och bättre utnyttjautrymme. Tack vare fördelar såsom en enkel konstruktion, direkt elektromagnetiskdragkraftsframdrivning, samt hög säkerhet och tillförlitlighet i motsatstill roterande induktionsmotor, är en linjär induktionsmotor (LIM) aktuell somframdrivningssystem. Detta examensarbete är utfört med syfte att utforma enLIM för att uppfylla vissa specifika krav. De detaljerade kraven inkluderar: enuppsättning identiska LIM krävs för att gemensamt producera tillräcklig dragkraftför att vertikalt höja det rörliga systemet upp till 2 m/s2; storleken påLIM får inte överstiga specifikation; den maximala flödestätheten i luftgapet förvarje LIM hålls är begränsad till knappt 0.6 T; ingen järnmättnad av någon delav LIM är tillåtet. I denna rapport ges först en introduktion av LIM-konceptet. Efter introduktionenhar relevant litteratur granskats för att stärka teoretiska grundkunskapersamt ge en bättre belysning av historiken kring LIMs samt dess applikationer. Utöver detta har en analytisk modell av den ensidiga linjära induktionsmotorn(SLIM) byggts, baserat på en ungefärlig ekvivalent krets med vilket den preliminärageometrin för SLIM. För att erhålla en mer grundläggande förståelse avmaskinens egenskaper är en tvådimensionell analys med finita elementmetoden(2D-FEM) utförd, initialt med användande av en preliminär geometri erhållenmed hjälp av analytisk dimensionering. Resultaten från dessa simuleringar visadedock att järnet mättats kraftigt i både tänderna och oket och ett överdrivetstort maximivärde av luftgapets flödestäthet erhålls. Specifikt för applikationenjusteras olika parametrar och en rad driftscenarier körs i Flux2D för en 8-poligoch en 6-polig SLIM. En slutgiltig jämförelse mellan de olika maskindesignernapresenteras och den rekommenderade lösningen väljs slutligen

Network embedding aided vaccine skepticism detection

We investigate automatic methods to assess COVID vaccination views in Twitter content. Vaccine skepticism has been a controversial topic of long history that has become more important than ever with the COVID-19 pandemic. Our main goal is to demonstrate the importance of network effects in detecting vaccination skeptic content. Towards this end, we collected and manually labeled vaccination-related Twitter content in the first half of 2021. Our experiments confirm that the network carries information that can be exploited to improve the accuracy of classifying attitudes towards vaccination over content classification as baseline. We evaluate a variety of network embedding algorithms, which we combine with text embedding to obtain classifiers for vaccination skeptic content. In our experiments, by using Walklets, we improve the AUC of the best classifier with no network information by. We publicly release our labels, Tweet IDs and source codes on GitHub

Optimizing distributed data stream processing by tracing

Heterogeneous mobile, sensor, IoT, smart environment, and social networking applications have recently started to produce unbounded, fast, and massive-scale streams of data that have to be processed “on the fly”. Systems that process such data have to be enhanced with detection for operational exceptions and with triggers for both automated and manual operator actions. In this paper, we illustrate how tracing in distributed data processing systems can be applied to detecting changes in data and operational environment to maintain the efficiency of heterogeneous data stream processing systems under potentially changing data quality and distribution. By the tracing of individual input records, we can (1) identify outliers in a web crawling and document processing system and use the insights to define URL filtering rules; (2) identify heavy keys, such as NULL, that should be filtered before processing; (3) give hints to improve the key-based partitioning mechanisms; and (4) measure the limits of overpartitioning if heavy thread-unsafe libraries are imported. By using Apache Spark as illustration, we show how various data stream processing efficiency issues can be mitigated or optimized by our distributed tracing engine. We describe and qualitatively compare two different designs, one based on reporting to a distributed database and another based on trace piggybacking. Our prototype implementation consists of wrappers suitable for JVM environments in general, with minimal impact on the source code of the core system. Our tracing framework is the first to solve tracing in multiple systems across boundaries and to provide detailed performance measurements suitable for automated optimization, not just debugging