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91	Facebook與Instagram之跨訊息綜效比較 / A comparison of cross-message synergy effect between Facebook and Instagram 陳又瑈, Chen, Yu Jou Unknown Date (has links) 數位行動浪潮襲捲全球，智慧型手機的普及讓行動行銷成為一股趨勢，如何善用行動媒體的特性來提高整合行銷傳播的綜效亦是近年來數位行銷領域相當關注的話題。APP是行動媒體中最能直接與消費者接觸的工具，而社群APP因為內容具備即時性、社群性等特徵，成為各大品牌搶奪消費者眼球的必爭之地。　　在眾多社群APP中，Facebook的廣告服務已行之有年，後起之秀Instagram亦於2015年9月對台灣企業開放廣告功能，讓廣告主能以付費的方式觸及更多的使用者。此二平台的廣告運作機制非常相似，消費者都會先接收貼文廣告，再從貼文廣告連接到品牌帳號的主要頁面，兩個品牌訊息加總將有機會產生跨訊息綜效。不過，這兩個平台在內容表現形式上卻不盡相同，且Instagram強大的濾鏡功能能讓照片更具美感，進而影響使用者對品牌的解讀及反應，所呈現的綜效也可能有所不同。　　因此本研究選定Facebook與Instagram為研究對象，以社群APP平台為自變項，廣告態度及品牌態度為依變項，來驗證跨訊息綜效是否產生，並比較此二平台在廣告資訊處理歷程及效果上的差異。本研究採用實驗法，招募100名政治大學非傳播學院之大學生及研究生進行實驗，所得結果如下：一、單一媒體的跨訊息綜效並不顯著，但不同媒體（Facebook與Instagram）的資訊處理歷程、態度形成及跨訊息效果卻不盡相同。二、與說服知識相比，美感反應才是影響操弄意圖推論高低的主要變項，接收Facebook廣告的消費者會因為較低美感反應產生較高操弄意圖推論，接收Instagram廣告的消費者則會因為美感反應較高而使操弄意圖推論較低。三、操弄意圖推論對訊息涉入度具顯著負向影響，操弄意圖愈高，訊息涉入度愈低，反之亦然。Facebook的操弄意圖推論較高，因此訊息涉入度較低，消費者較缺乏訊息處理動機，而Instagram的操弄意圖推論較低使得訊息涉入度較高，亦即消費者具備較高的訊息處理動機。社群APP Facebook Instagram 跨訊息綜效貼文廣告美感反應操弄意圖推論訊息涉入度 Social Application Facebook Instagram Cross-message Synergy Page Post Ad Aesthetic Response Inferences of Manipulative Intent Message Involvement
92	Выявление манипулятивных сделок на российском фондовом рынке : магистерская диссертация / Identification of the manipulative transactions on the Russian stock market Плетнев, К. В., Pletnev, K. V. January 2018 (has links) Final qualifying work (master's thesis) is devoted to the reserching of the methods of identifying the manipulations that undermine the effectiveness of the stock market. The subject of the research is the way of identifying manipulative transactions in the stock market of Russia. The main purpose of the research is the development of specific proposals and the selection of statistical methods relevant for the Russian stock market to improve the existing system of state control aimed at identifying various types and methods of manipulative trading in the stock market. In conclusion, practical steps for the strengthen of the stock market of the Russian Federation are formulated. / Выпускная квалификационная работа (магистерская диссертация) посвящена изучению методов выявления манипуляций, подрывающих эффективность фондового рынка. Предметом исследования выступают методы выявления манипулятивных сделок на российском фондовом рынке. Основной целью исследования выступает разработка конкретных предложений и выбор статистических методов, релевантных для российского фондового рынка, для совершенствования существующей системы государственного контроля, направленной на выявление различных видов и способов манипулятивной торговли на фондовом рынке. В заключении сформулированы практические шаги по укреплению фондового рынка Российской Федерации. MASTER'S THESIS MANIPULATIVE TRANSACTION STOCK MARKET BANK OF RUSSIA SECURITIES MARKET BROKER TRADER INSIDER DEALING MARKET ABUSE FINANCIAL TECHNOLOGY K NEAREST NEIGHBORS METHOD ADJUSTMENT ФОНДОВЫЙ РЫНОК БАНК РОССИИ РЫНОК ЦЕННЫХ БУМАГ БРОКЕР ТРЕЙДЕР ВНУТРЕННЯЯ СДЕЛКА РЕГУЛИРОВАНИЕ
93	Geometric approach to multi-scale 3D gesture comparison Ochoa Mayorga, Victor Manuel 11 1900 (has links) The present dissertation develops an invariant framework for 3D gesture comparison studies. 3D gesture comparison without Lagrangian models is challenging not only because of the lack of prediction provided by physics, but also because of a dual geometry representation, spatial dimensionality and non-linearity associated to 3D-kinematics. In 3D spaces, it is difficult to compare curves without an alignment operator since it is likely that discrete curves are not synchronized and do not share a common point in space. One has to assume that each and every single trajectory in the space is unique. The common answer is to assert the similitude between two or more trajectories as estimating an average distance error from the aligned curves, provided that the alignment operator is found. In order to avoid the alignment problem, the method uses differential geometry for position and orientation curves. Differential geometry not only reduces the spatial dimensionality but also achieves view invariance. However, the nonlinear signatures may be unbounded or singular. Yet, it is shown that pattern recognition between intrinsic signatures using correlations is robust for position and orientation alike. A new mapping for orientation sequences is introduced in order to treat quaternion and Euclidean intrinsic signatures alike. The new mapping projects a 4D-hyper-sphere for orientations onto a 3D-Euclidean volume. The projection uses the quaternion invariant distance to map rotation sequences into 3D-Euclidean curves. However, quaternion spaces are sectional discrete spaces. The significance is that continuous rotation functions can be only approximated for small angles. Rotation sequences with large angle variations can only be interpolated in discrete sections. The current dissertation introduces two multi-scale approaches that improve numerical stability and bound the signal energy content of the intrinsic signatures. The first is a multilevel least squares curve fitting method similar to Haar wavelet. The second is a geodesic distance anisotropic kernel filter. The methodology testing is carried out on 3D-gestures for obstetrics training. The study quantitatively assess the process of skill acquisition and transfer of manipulating obstetric forceps gestures. The results show that the multi-scale correlations with intrinsic signatures track and evaluate gesture differences between experts and trainees. 3D gesture comparison Multiscale curvature Curvature-torsion differential geometry complex trajectories quaternion trajectories quaternion projections quaternion metrics 3D trajectory smoothing curvature signature correlations qualitative skill transfer measure medical manipulative gestures nonlinear signatures anisotropic kernel filter curvature numerical stability quaternion smoothing kinematics motor skill transfer curvature signature torsion signature arc-length parameterization tensors Frenet-Serret quaternion framework nonlinear kernel filter geodesic distance finite difference methods differential convolution filter Savitzky-Golay filter least squares curve fitting curvature neighborhood multilevel curvature analysis medical training child bearing simulator robotic simulator motion tracking 3D electromagnetic trackers sequence comparison medical training
94	Geometric approach to multi-scale 3D gesture comparison Ochoa Mayorga, Victor Manuel Unknown Date No description available. 3D gesture comparison Multiscale curvature Curvature-torsion differential geometry complex trajectories quaternion trajectories quaternion projections quaternion metrics 3D trajectory smoothing curvature signature correlations qualitative skill transfer measure medical manipulative gestures nonlinear signatures anisotropic kernel filter curvature numerical stability quaternion smoothing kinematics motor skill transfer curvature signature torsion signature arc-length parameterization tensors Frenet-Serret quaternion framework nonlinear kernel filter geodesic distance finite difference methods differential convolution filter Savitzky-Golay filter least squares curve fitting curvature neighborhood multilevel curvature analysis medical training child bearing simulator robotic simulator motion tracking 3D electromagnetic trackers sequence comparison medical training

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