In this document we will focus in the description of the silicon-tungsten electromagnetic calorimeter, SiW-ECAL, technological prototype and its performance in beam test. The design and R&D of this prototype is conducted by CALICE and it is oriented at the baseline design of the ILD ECAL. POSTSUBSCRIPT of thickness (in the barrel region) and it uses silicon (Si) as active material and tungsten (W) as absorber material. The combination of Si and W for the construction of the detector allows the construction of a very compact calorimeter made up of compact active layers with small cell size (high granularity) in the transverse and longitudinal planes. It will consist of an alveolar structure of carbon fiber into which the slabs made up of tungsten plates and active sensors will be inserted. The very-front-end (VFE) electronics will be embedded in the slabs. The silicon sensors will be segmented in squared cells of 5x5 mm, featuring a total of ?100similar-toabsent100sim 100? 100 million channels for the ECAL of the ILD.|In this paper, we propose a deformable convolution-based generative adversarial network (DCNGAN) for perceptual quality enhancement of compressed videos. DCNGAN is also adaptive to the quantization parameters (QPs). Compared with optical flows, deformable convolutions are more effective and efficient to align frames. Deformable convolutions can operate on multiple frames, thus leveraging more temporal information, which is beneficial for enhancing the perceptual quality of compressed videos. Instead of aligning frames in a pairwise manner, the deformable convolution can process multiple frames simultaneously, which leads to lower computational complexity. Experimental results demonstrate that the proposed DCNGAN outperforms other state-of-the-art compressed video quality enhancement algorithms. However, compressed videos, especially at low bit rate, still suffer from the degraded quality due to compression artifacts. In this case, it is crucial to enhance the quality of compressed videos. MFQE 2.0 and achieved better performance. PSNR of compressed videos. However, those algorithms require training and storing various models to enhance videos compressed at different QPs, which sets high demand on the memory.
One thing your brain is always looking for when analyzing visual information is continuity. Imagine a stack of 12 blocks. If all of the blocks are colored red, you perceive the pile as one unit. But if the bottom six blocks are red and the top six blocks are blue, you may perceive the pile as two separate units: a stack of blue blocks on top of a stack of red blocks. And if you were to randomly mix blue blocks and red blocks together, you wouldn't group them into colored units at all. We tend to recognize something as a separate object if it has one continuous color, so a person is much more likely to stand out when wearing a single color than when wearing a jumble of colors. In the jungle, you perceive the jumble of colors in camouflage material as many small things that are component parts of the surrounding foliage. In this way, mottled camouflage helps people go undetected even though they are in plain sight.
Acoustic levitation allows small objects, like droplets of liquid, to float. Unless you travel into the vacuum of space, sound is all around you every day. But most of the time, you probably don't think of it as a physical presence. You hear sounds; you don't touch them. The only exceptions may be loud nightclubs, cars with window-rattling speakers and ultrasound machines that pulverize kidney stones. But even then, you most likely don't think of what you feel as sound itself, but as the vibrations that sound creates in other objects. The idea that something so intangible can lift objects can seem unbelievable, but it's a real phenomenon. Acoustic levitation takes advantage of the properties of sound to cause solids, liquids and heavy gases to float. The process can take place in normal or reduced gravity. In other words, sound can levitate objects on Earth or in gas-filled enclosures in space.
High precision physics at future colliders as the International Linear Collider (ILC) require unprecedented high precision in the determination of the energy of final state particles. The needed precision will be achieved thanks to the Particle Flow algorithms (PF) which require highly granular and hermetic calorimeters systems. The physical proof of concept of the PF was performed in the previous campaign of beam tests of physic prototypes within the CALICE collaboration. One of these prototypes was the physics prototype of the Silicon-Tungsten Electromagnetic Calorimeter (SiW-ECAL) for the ILC. In this document we present the latest news on R&D of the next generation prototype, the technological prototype with fully embedded very front-end (VFE) electronics, of the SiW-ECAL. Special emphasis is given to the presentation. 250 GeV - 1 TeV. ILC requires unprecedented precision in the energy determination of final states. These techniques rely on single particle separation in the full detector volume to choose the best information available to measure the energy of the final state objects (i.e. measuring the charged particles momentum at tracking devices better than in the calorimeters). Therefore, PF algorithms require highly granular and compact calorimeter systems featuring minimum dead material (high hermeticity).
For example, a combination of a 4-way and a 2-way locating pin is a common design approach to locate two parts relative to each other. The distance between these locating features will have an impact on how sensitive the relative orientation of these two parts is to the location and size variation of these same features. The closer these features are to each other the tighter the tolerance will need to be to achieve the same relative orientation control between these parts. Having a model of the design that allows for the analysis of these sensitivities provides an important first step in controlling quality. Various design concepts can be analyzed to find the concept that will be the most robust to the variation that will be introduced during manufacturing. As a design concept progresses through detailed design. Pre-production further decisions are being made that influence the product quality. Manufacturing datum schemes are established along with associated dimensional controls.
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