Fuel cell´s have to function and be exploited for the purposes to dawdler were to be designed, behind achievement their requisite feature. To achievement these needs is then need use fit chemical accelerator about specific features and ensure his fit incorporated to the article. In those work in the concrete will treat of recognition feature chemical accelerator lay on in form inks obtained from powdery matters, like chemical accelerator will on used electrode aggradation MnOx. Recognition feature chemical accelerator will conducted by the help of method EQCM (Electrochemical Quartz Crystal Microbalance).

This Master's thesis is concerned with the creation of a tool for the management of processes on the SharePoint platform. It is aimed at creating an application which will support the search for new opportunities on the market and creation of blue oceans. It will provide its users with support and guidance throughout the process.

abstract: While machine/deep learning algorithms have been successfully used in many practical applications including object detection and image/video classification, accurate, fast, and low-power hardware implementations of such algorithms are still a challenging task, especially for mobile systems such as Internet of Things, autonomous vehicles, and smart drones. This work presents an energy-efficient programmable application-specific integrated circuit (ASIC) accelerator for object detection. The proposed ASIC supports multi-class (face/traffic sign/car license plate/pedestrian), many-object (up to 50) in one image with different sizes (6 down-/11 up-scaling), and high accuracy (87% for face detection datasets). The proposed accelerator is composed of an integral channel detector with 2,000 classifiers for five rigid boosted templates to make a strong object detection. By jointly optimizing the algorithm and efficient hardware architecture, the prototype chip implemented in 65nm demonstrates real-time object detection of 20-50 frames/s with 22.5-181.7mW (0.54-1.75nJ/pixel) at 0.58-1.1V supply. In this work, to reduce computation without accuracy degradation, an energy-efficient deep convolutional neural network (DCNN) accelerator is proposed based on a novel conditional computing scheme and integrates convolution with subsequent max-pooling operations. This way, the total number of bit-wise convolutions could be reduced by ~2x, without affecting the output feature values. This work also has been developing an optimized dataflow that exploits sparsity, maximizes data re-use and minimizes off-chip memory access, which can improve upon existing hardware works. The total off-chip memory access can be saved by 2.12x. Preliminary results of the proposed DCNN accelerator achieved a peak 7.35 TOPS/W for VGG-16 by post-layout simulation results in 40nm. A number of recent efforts have attempted to design custom inference engine based on various approaches, including the systolic architecture, near memory processing, and in-meomry computing concept. This work evaluates a comprehensive comparison of these various approaches in a unified framework. This work also presents the proposed energy-efficient in-memory computing accelerator for deep neural networks (DNNs) by integrating many instances of in-memory computing macros with an ensemble of peripheral digital circuits, which supports configurable multibit activations and large-scale DNNs seamlessly while substantially improving the chip-level energy-efficiency. Proposed accelerator is fully designed in 65nm, demonstrating ultralow energy consumption for DNNs. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2019

abstract: Ultrasound B-mode imaging is an increasingly significant medical imaging modality for clinical applications. Compared to other imaging modalities like computed tomography (CT) or magnetic resonance imaging (MRI), ultrasound imaging has the advantage of being safe, inexpensive, and portable. While two dimensional (2-D) ultrasound imaging is very popular, three dimensional (3-D) ultrasound imaging provides distinct advantages over its 2-D counterpart by providing volumetric imaging, which leads to more accurate analysis of tumor and cysts. However, the amount of received data at the front-end of 3-D system is extremely large, making it impractical for power-constrained portable systems. In this thesis, algorithm and hardware design techniques to support a hand-held 3-D ultrasound imaging system are proposed. Synthetic aperture sequential beamforming (SASB) is chosen since its computations can be split into two stages, where the output generated of Stage 1 is significantly smaller in size compared to the input. This characteristic enables Stage 1 to be done in the front end while Stage 2 can be sent out to be processed elsewhere. The contributions of this thesis are as follows. First, 2-D SASB is extended to 3-D. Techniques to increase the volume rate of 3-D SASB through a new multi-line firing scheme and use of linear chirp as the excitation waveform, are presented. A new sparse array design that not only reduces the number of active transducers but also avoids the imaging degradation caused by grating lobes, is proposed. A combination of these techniques increases the volume rate of 3-D SASB by 4\texttimes{} without introducing extra computations at the front end. Next, algorithmic techniques to further reduce the Stage 1 computations in the front end are presented. These include reducing the number of distinct apodization coefficients and operating with narrow-bit-width fixed-point data. A 3-D die stacked architecture is designed for the front end. This highly parallel architecture enables the signals received by 961 active transducers to be digitalized, routed by a network-on-chip, and processed in parallel. The processed data are accumulated through a bus-based structure. This architecture is synthesized using TSMC 28 nm technology node and the estimated power consumption of the front end is less than 2 W. Finally, the Stage 2 computations are mapped onto a reconfigurable multi-core architecture, TRANSFORMER, which supports different types of on-chip memory banks and run-time reconfigurable connections between general processing elements and memory banks. The matched filtering step and the beamforming step in Stage 2 are mapped onto TRANSFORMER with different memory configurations. Gem5 simulations show that the private cache mode generates shorter execution time and higher computation efficiency compared to other cache modes. The overall execution time for Stage 2 is 14.73 ms. The average power consumption and the average Giga-operations-per-second/Watt in 14 nm technology node are 0.14 W and 103.84, respectively. / Dissertation/Thesis / Doctoral Dissertation Engineering 2019

La détection, localisation d'obstacles et la reconstruction de carte d'occupation 2D sont des fonctions de base pour un robot navigant dans un environnement intérieure lorsque l'intervention avec les objets se fait dans un environnement encombré. Les solutions fondées sur la vision artificielle et couramment utilisées comme SLAM (simultaneous localization and mapping) ou le flux optique ont tendance a être des calculs intensifs. Ces solutions nécessitent des ressources de calcul puissantes pour répondre à faible vitesse en temps réel aux contraintes. Nous présentons une architecture matérielle pour la détection, localisation d'obstacles et la reconstruction de cartes d'occupation 2D en temps réel. Le système proposé est réalisé en utilisant une architecture de vision sur FPGA (field programmable gates array) et des capteurs d'odométrie pour la détection, localisation des obstacles et la cartographie. De la fusion de ces deux sources d'information complémentaires résulte un modèle amelioré de l'environnement autour des robots. L'architecture proposé est un système à faible coût avec un temps de calcul réduit, un débit d'images élevé, et une faible consommation d'énergie / Obstacle detection, localization and occupancy map reconstruction are essential abilities for a mobile robot to navigate in an environment. Solutions based on passive monocular vision such as simultaneous localization and mapping (SLAM) or optical flow (OF) require intensive computation. Systems based on these methods often rely on over-sized computation resources to meet real-time constraints. Inverse perspective mapping allows for obstacles detection at a low computational cost under the hypothesis of a flat ground observed during motion. It is thus possible to build an occupancy grid map by integrating obstacle detection over the course of the sensor. In this work we propose hardware/software system for obstacle detection, localization and 2D occupancy map reconstruction in real-time. The proposed system uses a FPGA-based design for vision and proprioceptive sensors for localization. Fusing this information allows for the construction of a simple environment model of the sensor surrounding. The resulting architecture is a low-cost, low-latency, high-throughput and low-power system.

The Eu-XFEL, a 3.4 km long free electron laser situated in Hamburg, Germany was commissioned in 2017, and has since been at the forefront of cutting edge technologies. The short laser-like X-ray pulses produced within the facility can be used to film ultrafast phenomena such as the formation or breakup of chemical bonds, research the composition and structure of complex biomolecules on the atomic scale, and can even be used to study matter under extreme conditions. Since its commissioning, a concern has been raised regarding the demagnetization of the permanent magnets present in the undulator system as a result of stray radiation. To monitor this, Gafchromic EBT-3 films along with other dosimetric tools have been installed at various points along the beamline to monitor radiation induced damages and predict the lifetime of the undulator system. This work focuses on optimizing the calibration of Gafchromic EBT-3 films for accurate estimations of the unwanted dose absorbed in the magnetic material, and was achieved by increasing the amount of calibration measurements and segmenting the measurements, in turn performing the calibration in parts. The results show that calibrating the EBT-3 films according to the proposed method can accurately estimate unknown doses up to 52 Gy.

Background: Corporate accelerators (CAs) are a relatively new phenomenon and increasingly used by corporates to increase their level of innovation. However, there are still no best practices on how these CA programs can be structured more efficiently in order to serve the needs of startups and corporates simultaneously. Here, most extant research focuses on the general goals of CA programs and the definition of certain core elements and features which describe a CA (i.e. provision of coworking space; educational programs), while disregarding the objectives of the startups participating. Purpose: The purpose of this study is to understand how current CA programs can be improved, by analyzing the experiences and perspectives of both corporates and startups. It aims to identify, how CA programs can be more successful for corporates and startups. Method: To satisfy the purpose of this qualitative study, an exploratory research approach was selected and a multi-case research strategy applied. Data was gathered through in-depth, semi-structured expert interviews with five managers and three participants of accelerator programs managed by leading multinational corporates. Through a content analysis, we built new theory based on our findings. Conclusion: This study shed light on current difficulties that arise in CA programs such as internal politics and bureaucracy, internal communication, corporate rigidities, and the important tasks of CA managers navigating those issues. Our study contributes to research on CAs by (1) emphasizing current barriers of CAs; (2) presenting suggestions for creating more successful CAs; (3) showing how CA managers can foster interactions between corporate business units and startups: and (4) creating the SET CA model.

The European X-Ray Free-Electron Laser facility (XFEL) provides ultra-short x-ray pulsesof high peak brilliance that are used in research to analyse atomic or molecular structures.The facility accelerates electrons and moves them through an undulator system consistingof several undulator cells containing permanent magnet poles supplying an alternatingmagnetic field, which causes the electrons to emit x-ray pulses. A concern is raised overthe deterioration of the permanent magnets due to radiation damage originating from strayradiation in the undulator system. The stray radiation is believed to be released by the highenergy electrons interacting with the beam pipe wall. In this study particle simulations aremade using the Monte Carlo particle transport code FLUKA to compare to previous sim-ulations and measurements performed at XFEL. A beam line model was made in FLUKA,simulating electron beams interacting with the vacuum pipe at several points. The sim-ulated energy deposition distribution along the undulator segment surface was fitted tomeasurement data of the dose over the magnets in different undulator cells at XFEL. Thisway the probability of the stray radiation originating from different electron beam interac-tion points could be studied. For the undulator cells that were studied the radiation wasfound to originate from interactions mainly in the gap between undulator segments. Forcell 4 and 12 it was found that radiation also originates from electron interactions with thebeam pipe inside the undulator segments. It was concluded that improvements can bemade in the simulation technique by simulating electron beam interactions at more posi-tions along the vacuum pipe’s longitudinal axis and around its lateral cross section. Furtherresearch is needed to find the impact of the alternating magnetic field over the undulatorsegments as well as to find which particles contribute to the radiation damage at XFEL. Asthe undulator cells had different relative contributions to the damaging dose from differentelectron beam interaction points it could be of interest to use the same method for fittingsimulated dose distributions to measurements of other undulator cells at XFEL.

The Super Proton Synchrotron (SPS) injection system plays a fundamental role to preserve the quality of injected high-brightness beams for the Large Hadron Collider (LHC) physics program and to maintain the maximum storable intensity. The present system is the result of years of upgrades and patches of a system not conceived for such intensities and beam qualities. In this study, we first investigate the effect of emittance growth due to amplitude-dependent tune shifts for erroneously injected beams. As a next step, we propose the design of a completely new injection system for the SPS using multi-level numerical optimisation, including realistic hardware assumptions. Methods and pseudo-algorithms of how this hierarchical optimisation framework can be adapted to other situations for optimal accelerator system design are shown. In addition, we explore the benefits of a numerical optimisation framework for the current SPS injection kicker timing system to minimise residual injection oscillations for maximised delivered beam intensity. We also demonstrate how a simple neural network based upon recorded data can approximate the injection system as a surrogate model, allowing for further studies of different optimisation algorithms even without beam time.

The European XFEL is an X-ray free electron laser research facility that generates ultrashort, high intensity flashes. Three SASE undulator systems are made of undulator segments and intersection components. Permanent magnets that form the segments, may potentially suffer demagnetization due to the stray radiation that comes from the interaction between electrons and the beam pipe. A gamma spectrometer (GR1-A, developed by Kromek) is planned to be placed at the entrance of one of the undulator segments of SASE1. Monte Carlo simulations, using Geant4, have been performed to study gamma radiation flux at possible measurement areas. The results show that in some cells the expected flux is larger than the maximum throughput, while for two segments there are areas which satisfy the limitations of the detector. An improvement of the geometry of the Geant4 code has also been done to make simulations more in line with the real systems. A comparison between dose results from the new and the former code shows that components placed at the intersections have a significant impact on dose distributions, especially quadrupole magnets.