A Note on the CFT Origin of the Strong Constraint of DFT

In double field theory, motivated by its field theoretic consistency, the level matching condition is generalized to the so-called strong constraint. In this note, it is investigated what the two-dimensional conformal field theory origin of this constraint is. Initially treating the left- and right-movers as independent, we compute the torus partition function as well as a generalized Virasoro-Shapiro amplitude. In non-compact directions the strong constraint arises from the factorization of the Virasoro-Shapiro amplitude over physical states as determined by the modular invariant partition function. From the same argument, along internal toroidal directions, no analogous constraint arises.Comment: 14 + 5 page

Wild-type huntingtin regulates human macrophage function

The huntingtin (HTT) protein in its mutant form is the cause of the inherited neurodegenerative disorder, Huntington\u27s disease. Beyond its effects in the central nervous system, disease-associated mutant HTT causes aberrant phenotypes in myeloid-lineage innate immune system cells, namely monocytes and macrophages. Whether the wild-type form of the protein, however, has a role in normal human macrophage function has not been determined. Here, the effects of lowering the expression of wild-type (wt)HTT on the function of primary monocyte-derived macrophages from healthy, non-disease human subjects were examined. This demonstrated a previously undescribed role for wtHTT in maintaining normal macrophage health and function. Lowered wtHTT expression was associated, for instance, with a diminished release of induced cytokines, elevated phagocytosis and increased vulnerability to cellular stress. These may well occur by mechanisms different to that associated with the mutant form of the protein, given an absence of any effect on the intracellular signalling pathway predominantly associated with macrophage dysfunction in Huntington\u27s disease

Fabrication of W-band TWT for 5G small cells backhaul

The W-band (92 - 95 GHz) Traveling Wave Tube enabling the first Point to multipoint millimeter wave backhaul wireless network is in final phase of fabrication. The challenge is to build a TWT suitable for large volume fabrication to satisfy the cost constraints of network operators. Performances are targeted to provide coverage on sectors up to 90° with 1 km range. Simulations demonstrate a bandwidth of operation in excess of 5 GHz with a saturated output power of 40 W. The TWT is directly connected to a sector horn antenna

Fabrication of W-band TWT for 5G small cells backhaul

The W-band (92 - 95 GHz) Traveling Wave Tube enabling the first Point to multipoint millimeter wave backhaul wireless network is in final phase of fabrication. The challenge is to build a TWT suitable for large volume fabrication to satisfy the cost constraints of network operators. Performances are targeted to provide coverage on sectors up to 90° with 1 km range. Simulations demonstrate a bandwidth of operation in excess of 5 GHz with a saturated output power of 40 W. The TWT is directly connected to a sector horn antenna

Millimeter wave wireless system based on point to multipoint transmissions

The continuously growing traffic demand has motivated the exploration of underutilized millimeter wave frequency spectrum for future mobile broadband communication networks. Research activities focus mainly on the use of the V-band (59 - 64 GHz) and E-band (71 - 76 & 81 - 84 GHz) to offer multi-gigabit point to point transmissions. This paper describes an innovative W-band (92-95 GHz) point to multipoint wireless network for high capacity access and backhaul applications. Point to multipoint wireless networks suffer from limited RF power available. The proposed network is based on a high power, wide band traveling wave tube of new generation and an affordable high performance transceiver. These new devices enable a new transmission paradigm and overcome the relevant technological challenges imposed by the high atmosphere attenuation and the presently lack of power amplification required to provide adequate coverage at millimeter waves

TWEETHER project for W-band wireless networks

The European Horizon 2020 project TWEETHER aims to make a breakthrough in wireless networks to overcome the congestion of the actual mobile networks and foster the new 5G networks. A European Consortium including four universities and five companies from four European countries is devoting a relevant effort to realize novel terminals and transmission hubs to operate in the W-band (93 – 95 GHz). This paper will describe the advancement of the project

Event-based feature extraction using adaptive selection thresholds

Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed for the purpose, such algorithms typically require significant simplification during implementation to meet hardware constraints, creating trade offs with performance. Furthermore, conventional feature extraction algorithms are not designed to generate useful intermediary signals which are valuable only in the context of neuromorphic hardware limitations. In this work a novel event-based feature extraction method is proposed that focuses on these issues. The algorithm operates via simple adaptive selection thresholds which allow a simpler implementation of network homeostasis than previous works by trading off a small amount of information loss in the form of missed events that fall outside the selection thresholds. The behavior of the selection thresholds and the output of the network as a whole are shown to provide uniquely useful signals indicating network weight convergence without the need to access network weights. A novel heuristic method for network size selection is proposed which makes use of noise events and their feature representations. The use of selection thresholds is shown to produce network activation patterns that predict classification accuracy allowing rapid evaluation and optimization of system parameters without the need to run back-end classifiers. The feature extraction method is tested on both the N-MNIST (Neuromorphic-MNIST) benchmarking dataset and a dataset of airplanes passing through the field of view. Multiple configurations with different classifiers are tested with the results quantifying the resultant performance gains at each processing stage

Technology, Assembly, and Test of a W-Band Traveling Wave Tube for New 5G High-Capacity Networks

The folded waveguide (FWG) traveling wave tube (TWT) developed in the frame of the Horizon 2020 TWEETHER project for enabling a novel W-band (92-95 GHz) high capacity wireless network for 5G is presented. The FWG TWT was designed by particle-in-cell (PIC) simulations. The technology and the results in terms of measured RF losses and beam transmission from the realized beam tester are presented. Amplification on the first TWT breadboard has been observed but with a poor multireflection pattern resulting from spurious burrs inside the FWG. It indicates, however, that the FWG technology offers great manufacturing simplification compared to conventional helix TWTs, thus enabling a low-cost device with large series production suitable for the wide market of wireless communications

Real-time event-based unsupervised feature consolidation and tracking for space situational awareness

Earth orbit is a limited natural resource that hosts a vast range of vital space-based systems that support the international community's national, commercial and defence interests. This resource is rapidly becoming depleted with over-crowding in high demand orbital slots and a growing presence of space debris. We propose the Fast Iterative Extraction of Salient targets for Tracking Asynchronously (FIESTA) algorithm as a robust, real-time and reactive approach to optical Space Situational Awareness (SSA) using Event-Based Cameras (EBCs) to detect, localize, and track Resident Space Objects (RSOs) accurately and timely. We address the challenges of the asynchronous nature and high temporal resolution output of the EBC accurately, unsupervised and with few tune-able parameters using concepts established in the neuromorphic and conventional tracking literature. We show this algorithm is capable of highly accurate in-frame RSO velocity estimation and average sub-pixel localization in a simulated test environment to distinguish the capabilities of the EBC and optical setup from the proposed tracking system. This work is a fundamental step toward accurate end-to-end real-time optical event-based SSA, and developing the foundation for robust closed-form tracking evaluated using standardized tracking metrics