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The use of 3D data in mobile robotics applications provides valuable information about the robot's environment but usually the huge amount of 3D information is unmanageable by the robot storage and computing capabilities. A data compression is necessary to store and manage this information but preserving as much information as possible. In this paper, we propose a 3D lossy compression system based on plane extraction which represent the points of each scene plane as a Delaunay triangulation and a set of points/area information. The compression system can be customized to achieve different data compression or accuracy ratios. It also supports a color segmentation stage to preserve original scene color information and provides a realistic scene reconstruction. The design of the method provides a fast scene reconstruction useful for further visualization or processing tasks. ; This work has been supported by the Spanish Government DPI2013-40534-R grant.

Several new architectures are under investigation for cloud radio access networks, assuming distinct splits of functionality among the network elements. Consequently, the research on radio data compression for the fronthaul is based on assumptions that correspond to a wide variety of tradeoffs among data rate, signal distortion, latency and computational cost. This paper describes a method for LTE downlink point-topoint signal compression based on linear prediction and Huffman coding, which is suitable for low cost encoding and decoding units with stringent restrictions on power consumption. The proposed method can work at various compression factors, such as 3.3:1 at an average EVM of 0.9%, or 4:1 at an average EVM of 2.1%. ; © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This work was supported in part by the Innovation Center, Ericsson Telecomunicações S.A., Brazil, CNPq and the Capes Foundation, Ministry of Education of Brazil, and by the European Union through the 5G-Crosshaul project (H2020-ICT-2014/671598).

Despite recent turmoil, spreads on emerging market countries' sovereign bonds have fallen dramatically since mid-2002. Some have attributed the fall to improved economic fundamentals while others to ample global liquidity. The paper models spreads and attempts to empirically distinguish between the two factors. The results indicate that fundamentals, as embedded in credit ratings, are very important, but that expectations of future U.S. interest rates and volatility in those expectations are also a key determinant of emerging market spreads

"The error function takes place in a wide range in the elds of mathe- matics, mathematical physics and natural sciences. The aim of the current paper is to investigate certain properties such as univalence and close-to-convexity of normalized imaginary error function, which its region is symmetric with respect to the real axis. Some other outcomes are also obtained."

Shakespeare's treatment of Richard III has long been the cause of debates about Tudor defamations of the last Yorkist king. Within this context, some attention has been paid to the play's extreme compression of events that in fact took place over a period of seven years, from the death of George, Duke of Clarence in 1478 to the Battle of Bosworth Field in 1485. This study investigates the momentum of events to gauge the extent to which the representation of Richard does paint him in an entirely negative light. Detailed analysis of the timeline demonstrates that the way the play re-structures historical moments is designed to foreground not only the figure of Richard himself, with all its attendant associations, but also the very methods used to concentrate attention upon him. The self-referential nature of the play's relationship to history points to its own constructions, foregrounding the techniques used to show not only the legend of Richard, but how it is elaborated. The play therefore draws attention to its own manipulation of events, which in turn makes any assumptions about its representation of Richard as villain open to question.

The issue of Open Access (OA) in research is attracting growing interest both within the scientific community and on the political scene. Some centers specializing in the production of science indicators now include OA indicators by institution. In its 2019 ranking, the Centre for Science and Technology Studies (CWTS) provides a ranking of institutions according to their share of open access publications. This gives an idea of the degree of openness of institutions. However, the fact of not taking into account the disciplinary specificities and the specialization of the institutions makes the rankings based on the shares of the OA publications biased. We show that open access publishing practices vary considerably by discipline. As a result, we propose two methods of normalization of OA share; by WoS subject categories and by OST disciplines. Normalization corrects OA's share taking into account disciplinary practices. This allows a better comparability of different actors. Abstract The issue of Open Access (OA) in research is attracting growing interest both within the scientific community and on the political scene. Some centers specializing in the production of science indicators now include OA indicators by institution. In its 2019 ranking, the Centre for Science and Technology Studies (CWTS) provides a ranking of institutions according to their share of open access publications. This gives an idea of the degree of openness of institutions. However, the fact of not taking into account the disciplinary specificities and the specialization of the institutions makes the rankings based on the shares of the OA publications biased. We show that open access publishing practices vary considerably by discipline. As a result, we propose two methods of normalization of OA share; by WoS subject categories and by OST disciplines. Normalization corrects OA's share taking into account disciplinary practices. This allows a better comparability of different actors.