Photography and architecture have a uniquely powerful resonance - architectural form provides the camera with the subject for some of its most compelling imagery, while photography profoundly influences how architecture is represented, imagined and produced. Camera Constructs is the first book to reflect critically on the varied interactions of the different practices by which photographers, artists, architects, theorists and historians engage with the relationship of the camera to architecture, the city and the evolution of Modernism. The title thus on the one hand opposes the medium of photography and the materiality of construction - but on the other can be read as saying that the camera invariably constructs what it depicts: the photograph is not a simple representation of an external reality, but constructs its own meanings and reconstructs its subjects. Twenty-three essays by a wide range of historians and theorists are grouped under the themes of ’Modernism and the Published Photograph’, ’Architecture and the City Re-imagined’, ’Interpretative Constructs’ and ’Photography in Design Practices.’ They are preceded by an Introduction that comprehensively outlines the subject and elaborates on the diverse historical and theoretical contexts of the authors’ approaches. Camera Constructs provides a rich and highly original analysis of the relationship of photography to built form from the early modern period to the present day.

This book contains extended and revised versions of the best papers presented at the 22nd IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2014, held in Playa del Carmen, Mexico, in October 2014. The 12 papers included in the book were carefully reviewed and selected from the 33 full papers presented at the conference. The papers cover a wide range of topics in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of these systems.

Marina Goldovskaya is one of Russia's best-known documentary filmmakers. The first woman in Russia (and possibly the world) to combine being a director, writer, cinematographer, and producer, Goldovskaya has made over thirty documentary films and more than one hundred programs for Russian, European, Japanese, and American television. Her work, which includes the award-winning films The House on Arbat Street, The Shattered Mirror, and Solovky Power, has garnered international acclaim and won virtually every prize given for documentary filmmaking. In Woman with a Movie Camera, Goldovskaya turns her lens on her own life and work, telling an adventurous, occasionally harrowing story of growing up in the Stalinist era and subsequently documenting Russian society from the 1960s, through the Thaw and Perestroika, to post-Soviet Russia. She recalls her childhood in a Moscow apartment building that housed famous filmmakers, being one of only three women students at the State Film School, and working as an assistant cameraperson on the first film of Andrei Tarkovsky, Russia's most celebrated director. Reviewing her professional filmmaking career, which began in the 1960s, Goldovskaya reveals her passion for creating films that presented a truthful picture of Soviet life, as well as the challenges of working within (and sometimes subverting) the bureaucracies that controlled Russian film and television production and distribution. Along the way, she describes a host of notable figures in Russian film, theater, art, and politics, as well as the technological evolution of filmmaking from film to video to digital media. A compelling portrait of a woman who broke gender and political barriers, as well as the eventful four decades of Russian history she has documented, Woman with a Movie Camera will be fascinating reading for a wide audience.

Bachelor Thesis from the year 2019 in the subject Computer Science - Applied, grade: 1.0, University of Augsburg, language: English, abstract: In this thesis, two problems are covered. The first one is to estimate the position of a drone out of two different given transformations, which don’t have the same coordinate origin. Furthermore, measurement errors have to be outbalanced so that the position estimation is as accurate as possible. In order to solve this problem, a Kalman Filter was utilized. The second problem is to direct the drone to given goal positions while avoiding obstacles. For directing the drone to the desired location a vector flight control with temporary goals was created. The vector flight control is working online and is constantly using the current estimated position of the Kalman Filter in order to direct the drone correctly at each time. This thesis is covering the concept, the implementation and evaluation of these algorithms.