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Danger Zone Volume 1: Us Clandestine Reconnaissance Operations Along the West Berlin Air Corridors, 1945-1990

為了解決gdr的問題，作者Wright, Kevin 這樣論述：

Split into two for decades between the late 1940s and early 1990s, Germany was the hottest ’battlefield’ of the Cold War. Its western part was dotted by dozens of major military facilities of the reconstituted national armed forces, and those of the NATO allies, foremost the USA, Great Britain and F

rance. Even more so, whole third of East Germany was under the control of the Armed Forces of the Union of Soviet Socialist Republics (USSR) and housed several dozens of major air and ground units. On the ground, the city of West Berlin - situated in the center of the German Democratic Republic (GDR

), and the three occupation zones there controlled by the USA, Great Britain, and France, was connected to the outside world only via tightly controlled railways, waterways or autobahns. However, in the air, three ’aerial corridors’ connected it with West Germany. Far away from high-profile intellig

ence-gathering operations - like those by Lockheed U-2s - several intelligence agencies of the USA, Great Britain and France exploited this fact to run clandestine operations along these corridors.Principally conducted by adapted transport or liaison aircraft - which received a host of clandestine m

odifications - such operations often took their crews into the very center of what was perceived as the ’danger zone’ by NATO: the airspace over some of the most sensitive Soviet military installations.Danger Zone Volume 1, is the first comprehensive and in-depth study of intelligence-gathering effo

rts by aircraft operated by, or on behalf of, the US intelligence agencies. It provides a carefully researched review of the involved equipment, modifications, maintenance, flight operations, post-flight activities and the resulting intelligence analysis, set within the context of the unique situati

on surrounding West Berlin during the Cold War, and its air corridors.

gdr進入發燒排行的影片

基於單影像之六自由度物體姿態估測

為了解決gdr的問題，作者洪金利 這樣論述：

Dealing with the object pose estimation from a single RGB image is very challenging since 6 degree-of-freedom (6DoF) parameters have to be predicted without using the spatial depth information. Since direct regression of the pose parameters by using the deep neural network was reportedly poor and t

hen attaching with the refinement module to improve the accuracy causes much time consumption, in this work, we propose several techniques of top-down or bottom-up approaches to predict indirect feature maps instead from which single or multiple object poses can be recovered by using sophisticated p

ost-processing algorithms.Since there are four possible scenarios where single/multiple objects in the same/different classes can appear in the image, the corresponding output feature maps are predicted differently. For a single object scenario, unit-vector fields are predicted. These features are c

omposed of many unit-vectors pointing from pixels within the object mask to the pre-defined 2D object keypoints where their corresponding 3D object keypoints are distributed optimally on the 3D object surface based on the keypoint distances and object surface curvatures. From some pairs of the predi

cted unit-vectors, 2D projected keypoints can be voted and determined, so that PnP algorithm can be applied to estimate the pose. To deal with multiple objects even in the same or different classes, sufficient and informative output feature maps need to be predicted. Different from object keypoints,

6D coordinate maps which form the main features can be considered as a bunch of 3D point clouds for pose parameter calculation when their 2D-3D correspondences are also established. 6D coordinate maps contains two parts: front- and rear-view 3D coordinate maps. 3D coordinate map is actually a 2D ma

p where each pixel records 3D coordinates of a point in the object CAD model which projects to that 2D pixel location. Via 3D/6D coordinate maps, instance 2D-3D correspondences of a large point set can be built and PnP algorithm combined with RANSAC scheme to overcome the outliers or noise can be us

ed to estimate multiple object poses. Even though in this case, 2D object keypoints can no longer be used to estimate multiple poses, they can be defined as single/multiple reference points for identifying all object instance masks even in the presence of heavy occlusion. We are also interested in o

vercoming some problems related to the missing information and symmetry ambiguity encountered when generating the ground truth of 6D coordinate maps.Our studies show that our single pose estimation method using unit-vector fields can achieve an outstanding accuracy if compared to other top-down stat

e-of-the-art methods without including refinement modules. It has a good algorithm to identify the designated object keypoints from which the predicted feature maps are trained with the effective loss functions, but it has a slower inference speed when multiple object poses are taken into considerat

ion. On the other hand, our 6D coordinate maps, combining with the information from two opposite views, are capable of providing more constraints for network optimization and hence helpful for pose estimation accuracy. Our methods using 6D coordinate maps can achieve great performances if compared t

o other multiple object pose estimation methods.

Transnational Imaginations of Socialism: Town Twinning and Local Government in Red Italy and the Gdr, 1960s-1970s

為了解決gdr的問題，作者Malice, Teresa 這樣論述：

Teresa Malice, University of Bologna, Italy, and University of Bielefeld.

以整合型科技接受模式探討消費者使用室內科技高爾夫之行為意圖

為了解決gdr的問題，作者江尹涵 這樣論述：

隨著室內科技高爾夫的普及率持續飆升，高爾夫業者需了解推動消費者使用不同高爾夫設施的決定因素，以利為設施和服務注入最佳行銷策略。 本研究通過整合型科技接受模式理論（UTAUT）調查臺灣休閒高爾夫球愛好者對使用室內科技高爾夫設施的行為意圖，致力為業者找尋準確的目標消費族群和增加營收提供見解。 通過立意抽樣，本研究對休閒高爾夫愛好者進行問卷調查。 經過回收401份問卷，本研究使用統計軟體SPSS 28.0.1 對399份有效問卷進行數據分析。本研究旨在為高爾夫產業做出貢獻，並證明具有不同背景和使用經歷紀錄（EUH）的高爾夫球愛好者在行為意圖上具有顯著差異。 該研究結果希望為業者提供實務管理建議，並

鼓勵未來研究可針對高爾夫球愛好者的技術水平和其他形式的科技產品進行比較和分析。