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Jacob Friedrich Eitel
Jacob Friedrich Eitel (1799-1869/70), son of Tobias Eitel and Barbara Bofinger, was born in Lomersheim, Wuerttemberg, Germany. He came to America in 1818. His first wife is unknown. His second wife was Ann Walker. He had twelve children, all of which are discussed in this book. Proven residences of Jacob and his family were Shelby Co., Tennessee and Bowie Co. and Cass Co., Texas. Descendants live in Tennessee, Texas and elsewhere. His German ancestry goes back to early 1600's. Includes the Poer family of North Carolina, Tennessee and Texas.
Robotics Research
ISRR, the "International Symposium on Robotics Research", is one of robotics pioneering Symposia, which has established over the past two decades some of the field's most fundamental and lasting contributions. This book presents the results of the eighteenth edition of "Robotics Research" ISRR17, offering a collection of a broad range of topics in robotics. This symposium took place in Puerto Varas, Chile from December 11th to December 14th, 2017. The content of the contributions provides a wide coverage of the current state of robotics research, the advances and challenges in its theoretical foundation and technology basis, and the developments in its traditional and new emerging areas of applications. The diversity, novelty, and span of the work unfolding in these areas reveal the field's increased maturity and expanded scope and define the state of the art of robotics and its future direction.
Experimental Robotics
This book is the volume of the proceedings for the 17th Edition of ISER. The goal of ISER (International Symposium on Experimental Robotics) symposia is to provide a single-track forum on the current developments and new directions of experimental robotics. The series has traditionally attracted a wide readership of researchers and practitioners interested to the advances and innovations of robotics technology. The 54 contributions cover a wide range of topics in robotics and are organized in 9 chapters: aerial robots, design and prototyping, field robotics, human‒robot interaction, machine learning, mapping and localization, multi-robots, perception, planning and control. Experimental validation of algorithms, concepts, or techniques is the common thread running through this large research collection. Chapter “A New Conversion Method to Evaluate the Hazard Potential of Collaborative Robots in Free Collisions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Computational Science and Its Applications – ICCSA 2020
The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.
Evidentiality in German
This book is a comprehensive study of the evidential system in German. It presents a systematic description of the encoding of evidentiality in present-day German, as well as a diachronic reconstruction of the relevant sources and paths of grammaticalization from the Old High German period onwards. Based on empirical corpus research, the study investigates the degree of grammaticalization of each single evidential construction and the make-up of the present-day system as well as the diachronic stages that lead to the present state. The book focuses on three main issues. First, it is concerned with the general notion of evidentiality, its deictic character, and with the interrelations between...
Fremden-Blatt
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Deep Learning in Computer Vision
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applicat...
Morgen-Post Wien
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