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Author: g | 2025-04-24

A VLP with Windows Movie Maker [Part 3] . 0:57. A VLP with Windows Movie Maker - Episode 1 . 2:34. Windows 2025 Logo Effects in Windows Movie Maker 2.6 . Velodyne VLP-16 LiDAR Monterey Highway SLAM Movie

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Is a separate TPU slice.In the preceding steps, you used thegcloud beta container node-pools create command tocreate the node pools. These commands use the following flags:--node-locations: the comma-separated list of one or more zones whereGKE creates the node pools.--machine-type: the type of machine to use for nodes. In this case, you usedct5lp-hightpu-4t. For more information about TPU compatible machine types,use the table in Choose the TPU version.--tpu-topology: the TPU topology to use for the node pool. In this case, youused 2x4. For more information about TPU topologies, seeChoose the TPU topology.Create the Kueue resourcesCreate the following kueue.yaml manifest:apiVersion: kueue.x-k8s.io/v1beta1kind: ResourceFlavormetadata: name: "vlp-24"spec: nodeLabels: cloud.google.com/gke-tpu-accelerator: tpu-v5-lite-podslice cloud.google.com/gke-tpu-topology: 2x4---apiVersion: kueue.x-k8s.io/v1beta1kind: ClusterQueuemetadata: name: "cluster-queue"spec: namespaceSelector: {} queueingStrategy: BestEffortFIFO resourceGroups: - coveredResources: ["google.com/tpu"] flavors: - name: "vlp-24" resources: - name: "google.com/tpu" nominalQuota: 24---apiVersion: kueue.x-k8s.io/v1beta1kind: LocalQueuemetadata: namespace: default name: multislice-queuespec: clusterQueue: cluster-queueApply the kueue.yaml manifest:kubectl apply -f kueue.yamlGKE creates the following Kueue resources:ResourceFlavor:An abstraction of the resources in a cluster. In this example, GKE creates three TPUslices with 2x4 topology. Each TPU slice has a 2x4 topology with 8 chips (24 TPU chips in total).ClusterQueue:A global queue managing workloads and cluster resources.LocalQueue:Groups closely related workloads that are typically run by a single tenant(user). Each LocalQueue points to a ClusterQueue from which resources areallocated to run its workloads. A Kueue Workload is anabstraction representing a batch workload, inthis case, each workload is a JobSet.Define your Multislice workloads with JobSetsIn this section, you create three JobSets. A Jobset is a workload API that lets you manage a group of Kubernetes Jobs as a unit. The most common use case for a JobSet is distributed training, but you can also use it to run batch workloads.The following JobSets run a Jaxworkload which outputs the global number of TPU chips in the slice, then sleepsfor 60 seconds to simulate

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Guzik ADP7104 High-Performance Digitizer and Digital Processor combine high-speed waveform digitizer with built-in digital signal processing, which both enable mixed-domain signal capture and analysis with high-speed data transfer links to computers. The ADP7104 comes in a display-less 2U high 19” rack mountable Guzik enclosure form factor.The product addresses demanding Electronic Test and Measurement (ETM), Automatic Test Equipment (ATE) and Original Equipment Manufacturer (OEM) systems applications in advanced research such as 5G, wireline and wireless communications analysis, hydrodynamics, plasma fusion, scanning electron microscopy (SEM), mass spectrometry (MS), fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), time of flight mass spectrometry (TOF–MS), matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF), inductively coupled plasma mass spectrometry (ICP-MS), thermal ionization mass spectrometry (TIMS), liquid chromatography (LC-MS), gas chromatography (GC-MS), ion mobility mass spectrometry (IM-MS), electron spin resonance (ESR) rotational spectroscopy, semiconductor, asynchronous and synchronous contactless Electro-Optical voltage Probing (EOP), Visible Laser Probing (VLP), Laser Voltage Probing (LVP), Laser Time Probing (LTP), Laser Scanning Microscopy (LSM), Laser Voltage Imaging (LVI), Photon Emission (PEM), physics, astronomy, aerospace, defense, avionics, military, radar electronics and a variety of other disciplines. The wide analog bandwidth and high sampling rate of the digitizers provide multi band coverage on multiple input channels. For example, the direct RF-sampling capabilities of the digitizers cover radar signals in HF, VHF, UHF, L-, S-, C-, and part of X-band. Direct RF-sampling reduces the overall system complexity by eliminating several input analog down-conversion stages.The ADP7104 digitizer feature 10-bit Keysight Analog to Digital A/D converters with sampling rates up to 2 x 32 Gsa/s and analog bandwidth DC to 10 GHz with range adjustable front end (-32 dBm to +22 dBm with 1 dB steps). The ADP7104 with up to 256 GBytes of acquisition memory, delivers the longest waveform capture time window available in a high bandwidth analog to digital converter instrument.ADP7104 features an FPGA-based reconfigurable digital signal processor with up to 2 channel 32 Gsa/s combined processing speed to convey massive time-critical computations directly inside the instrument.The PCI Express Gen 3 link provides fast control access and DMA transfer of the acquired data to the host computer’s GPU and CPU-based processing back-end. The PCIe Gen 3 x8 link delivers up to 5 GByte/s of user data transfer rate. In addition, four dedicated Optical Data Interfaces can be configured for Real-Time Continuous Streaming to DP9000, host PCs or RAIDs at up to 2 x 32 Gsa/s (80 GByte/s).A Software Development Kit is supplied to control the instrument and to integrate the ADP7107 into an existing measurement system. Guzik also supplies Signal Display Soft Front Panel graphical interface application for signal capturing and visualization.The block diagram below shows the main components of the modular instrument:Figure 1. Block Diagram of ADP7000 ModuleGuzik ADP7107 Digitizer ADP7104Input Channels4Analog Bandwidth(-3dB)10 GHz (2-ch mode)6.5 GHz (4-ch mode)Sampling Rate(per channel)32 Gsa/s (2-ch mode)16 Gsa/s (4-ch mode)Acquisition Memory1(per channel maximum)104 Gpts (2-ch mode)52 Gpts (4-ch mode)PCI Express Gen 3 Interface to AXIe chassisX4 standard________________1 With 15/16 memory utilization and 256 GByte memoryData. A VLP with Windows Movie Maker [Part 3] . 0:57. A VLP with Windows Movie Maker - Episode 1 . 2:34. Windows 2025 Logo Effects in Windows Movie Maker 2.6 .

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Loss at 77GHz via Rogers’ new thermoset resin system combined with a very low profile electrodeposited copper (VLP ED).New woven-glass-free thermoset material maximizes fabrication yield and efficiency, further reducing the overall cost of PCBs.It is available in dielectric thicknesses of 0.005, Rogers RO4830 Plus laminates are available in standard panel sizes of 24×18 in. (610×457 mm), 24×20 in. (610×508 mm), 24×21in. (610×533 mm) with 0.5 oz. (18 µm) VLP ED.Click here to learn more about Rogers RO4830 Plus. Publisher: PCB Directory 236 48 news-details ../ news-list Get PCB Quotes Selected Companies Clear allX Submit Content Create an account Create an account on PCB Directory to get a range of benefits. Registered User Benefits Publish articles and comment on posts Download Product Datasheets Download Product Catalogs Download White Papers and App Notes Pre-Filled RFQ forms Login Login to PCB Directory to download datasheets, white papers and more content. Now you can Publish articles and comment on posts Download Product Datasheets Download Product Catalogs Download White Papers and App Notes Get Pre-Filled RFQ forms Get weekly newsletters Login Login to PCB Directory to download datasheets, white papers and more content. Create an account Create an account on PCB Directory to get a range of benefits. Enter Name Enter Company Enter Email Enter Password Verifying User... Login Already have an account?Sign In By creating an account with us you agree to our Terms of Service and acknowledge receipt of our Privacy Policy. Congratulations, your account has been successfully created. Note:- You need to sign in/sign up to submit a request quote. Note:- You need to sign in/sign up to submit a review. Now you can Publish articles and comment on posts Download Product Datasheets Download Product Catalogs Download White Papers and App Notes Get Pre-Filled RFQ forms Get weekly newsletters Congratulations, your account has been successfully created. Sign In Seems like you already have an account. Please enter your password to sign in. Verifying User... Sign In Forgot your password? Click here 2025/03_20IsProd

A VLP with Windows Movie Maker [Part 4] - VidLii

Running 0 3smultislice-3slice-slice-0-0-wzq9t 0/1 Completed 0 2m31smultislice-3slice-slice-0-1-zf4dp 0/1 Completed 0 2m30smultislice-3slice-slice-1-0-hbfn5 0/1 Completed 0 2m31smultislice-3slice-slice-1-1-45fgl 0/1 Completed 0 2m30smultislice-3slice-slice-2-0-wjbp4 0/1 Completed 0 2m30smultislice-3slice-slice-2-1-lwnvs 0/1 Completed 0 2m30sSee that GKE scheduled, created, and ran the Pods formultislice-3slice first. Then, GKE ran the Pods frommultislice-1slice and multislice-2slice JobSets.Enable Kueue workload priorities and preemptionOptionally, you can assign Kueue workloads priorities which determine the orderin which enqueued workloads are admitted by Kueue.Update your ClusterQueue to have a preemption policy:apiVersion: kueue.x-k8s.io/v1beta1kind: ResourceFlavormetadata: name: "vlp-24"spec: nodeLabels: cloud.google.com/gke-tpu-accelerator: tpu-v5-lite-podslice cloud.google.com/gke-tpu-topology: 2x4---apiVersion: kueue.x-k8s.io/v1beta1kind: ClusterQueuemetadata: name: "cluster-queue"spec: namespaceSelector: {} resourceGroups: - coveredResources: ["google.com/tpu"] flavors: - name: "vlp-24" resources: - name: "google.com/tpu" nominalQuota: 24 preemption: reclaimWithinCohort: Any withinClusterQueue: LowerPriority---apiVersion: kueue.x-k8s.io/v1beta1kind: LocalQueuemetadata: namespace: default name: multislice-queuespec: clusterQueue: cluster-queueCreate a PriorityClass for each distinct priority level you want to assignto workloads:apiVersion: scheduling.k8s.io/v1kind: PriorityClassmetadata: name: low-priorityvalue: 100globalDefault: falsedescription: "This low priority class should be used for some Pods only."Assign the priorityClassName to your JobSet: Autopilot apiVersion: jobset.x-k8s.io/v1alpha2kind: JobSetmetadata: name: low-priority labels: kueue.x-k8s.io/queue-name: multislice-queue annotations: alpha.jobset.sigs.k8s.io/exclusive-topology: cloud.google.com/gke-nodepoolspec: failurePolicy: maxRestarts: 4 replicatedJobs: - name: slice replicas: 1 template: spec: parallelism: 2 completions: 2 backoffLimit: 0 template: spec: nodeSelector: cloud.google.com/gke-tpu-accelerator: tpu-v5-lite-podslice cloud.google.com/gke-tpu-topology: 2x4 priorityClassName: low-priority containers: - name: jax-tpu image: python:3.8 ports: - containerPort: 8471 - containerPort: 8080 command: - bash - -c - | sleep 60 resources: limits: google.com/tpu: 4 # Number of TPU chips per worker Standard apiVersion: jobset.x-k8s.io/v1alpha2kind: JobSetmetadata: name: low-priority labels: kueue.x-k8s.io/queue-name: multislice-queue annotations: alpha.jobset.sigs.k8s.io/exclusive-topology: cloud.google.com/gke-nodepoolspec: failurePolicy: maxRestarts: 4 replicatedJobs: - name: slice replicas: 1 template: spec: parallelism: 2 completions: 2 backoffLimit: 0 template: spec: hostNetwork: true dnsPolicy: ClusterFirstWithHostNet nodeSelector: cloud.google.com/gke-tpu-accelerator: tpu-v5-lite-podslice cloud.google.com/gke-tpu-topology: 2x4 priorityClassName: low-priority containers: - name: jax-tpu image: python:3.8 ports: - containerPort: 8471 - containerPort: 8080 securityContext: privileged: true command: - bash - -c - | sleep 60 resources: limits: google.com/tpu: 4 # Number of TPU chips per workerGKE

A VLP with Windows Movie Maker [Part 3] - VidLii

Recent Vision-Language Pre-trained (VLP) models based on dual encoder have attracted extensive attention from academia and industry due to their superior performance on various cross-modal tasks and high computational efficiency. They attempt to learn cross-modal representation using contrastive learning on image-text pairs, however, the built inter-modal correlations only rely on a single view for each modality. Actually, an image or a text contains various potential views, just as humans could capture a real-world scene via diverse descriptions or photos. In this paper, we propose ERNIE-ViL 2.0, a Multi-View Contrastive learning framework to build intra-modal and inter-modal correlations between diverse views simultaneously, aiming at learning a more robust cross-modal representation. Specifically, we construct multiple views within each modality to learn the intra-modal correlation for enhancing the single-modal representation. Besides the inherent visual/textual views, we construct sequences of object tags as a special textual view to narrow the cross-modal semantic gap on noisy image-text pairs. Pre-trained with 29M publicly available datasets, ERNIE-ViL 2.0 achieves competitive results on English cross-modal retrieval. Additionally, to generalize our method to Chinese cross-modal tasks, we train ERNIE-ViL 2.0 through scaling up the pre-training datasets to 1.5B Chinese image-text pairs, resulting in significant improvements compared to previous SOTA results on Chinese cross-modal retrieval. We release our pre-trained models in PDF Abstract Code Tasks Datasets Results from the Paper Task Dataset Model Metric Name Metric Value Global Rank Uses ExtraTraining Data Result Benchmark Image Retrieval AIC-ICC ERNIE-ViL2.0 Recall@1 19.0 # 1 Compare Recall@10 43.5 # 1 Compare Recall@5 35.3 # 2 Compare Image-to-Text Retrieval AIC-ICC ERNIE-ViL2.0 Recall@1 33.7 # 1 Compare Recall@5 52.1 # 1 Compare Recall@10 60.0 # 1 Compare Cross-Modal Retrieval COCO 2014 ERNIE-ViL 2.0 Image-to-text R@1 77.4 # 13 Compare Image-to-text R@10 97.1 # 11 Compare Image-to-text R@5 93.6 # 13 Compare Text-to-image R@1 59.5 # 17 Compare Text-to-image R@10 90.1 # 14 Compare Text-to-image R@5 83.4 # 16 Compare Zero-Shot Cross-Modal Retrieval COCO 2014 ERNIE-ViL 2.0 Image-to-text R@1 63.1 # 13 Compare Image-to-text R@5 85.7 # 13 Compare Image-to-text R@10 91.4 # 12 Compare Text-to-image R@1 46.0 # 13 Compare Text-to-image R@5 71.4 # 12 Compare Text-to-image R@10 80.4 # 13 Compare Zero-shot Text-to-Image Retrieval COCO-CN ERNIE-ViL 2.0 Recall@1 69.6 # 2 Compare Recall@5 91.2 # 2 Compare Recall@10 96.9 # 2 Compare Zero-shot Image Retrieval COCO-CN ERNIE-ViL 2.0 R@1 69.6 # 3 Compare R@5 91.2 # 4 Compare R@10 96.9 # 3 Compare Cross-Modal

A VLP with Windows Movie Maker - Episode 1 - VidLii

Had to uninstall an evaluation version before installing the purchased software. With activation, you can download evaluation software and simply activate the fully featured version once purchased. With activation, you also can add features or migrate to higher product levels without reinstalling software. For example, a system deployed on the manufacturing floor contains an NI TestStand Deployment License. If something goes wrong with that system and it needs debugging, you do not need to install additional software. Simply apply a new activation code to enable the NI TestStand Development System to fix the problem.In the past, companies under the Volume License Program (VLP) requested some method of tracking and managing their licenses. Asset management is extremely important in these large organizations, and without the proper tool, the organization could spend more time on tedious tracking tasks and more money on additional licenses they might already own but did not track. With activation, National Instruments provides NI Volume License Manager (VLM) to these companies so they can better manage and track their NI software installation and use. How Do I Activate?NI has made activation quick, easy, and flexible by providing several activation methods. Whatsapp desktop download for mac. It takes only a few minutes of your time and does not require you to formally contact NI directly. When you install the product, the NI Activation Wizard is immediately launched and guides you through the entire activation process. There are six methods available to activate your product. When you activate, the NI. A VLP with Windows Movie Maker [Part 3] . 0:57. A VLP with Windows Movie Maker - Episode 1 . 2:34. Windows 2025 Logo Effects in Windows Movie Maker 2.6 . Velodyne VLP-16 LiDAR Monterey Highway SLAM Movie

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Methods used for the PCB have a significant impact on achieving required HF performance. Here are some typical materials and constructions used:Substrate MaterialsPopular substrate materials include:PTFE (Teflon) – Lowest loss material, poor thermal conductivtyLow-loss composite materials with ceramic fillerHydrocarbon ceramics – Cost-effective; moderate lossFR-4 (Glass epoxy) – Higher loss; lowest costPTFE is ideal for the most demanding RF applications. Ceramic-filled PTFE offers a good tradeoff of performance vs. cost. FR-4 is generally too lossy for wavelengths under 10-15cm.Copper and DielectricsThicker copper (2+ oz) minimizes skin effect losses. Thin dielectrics (5-10 mils) reduce parasitic capacitance but require finer lines to maintain 50Ω impedance. Medium thick dielectrics offer a compromise.Copper RoughnessStandard “reverse treat” foil provides adequate performance up to ~10 GHz frequencies. Above that, “very low profile” (VLP) foils with lower roughness help limit conductor losses at mmWave bands.PrepregsPrepreg materials bond the copper foil to core substrate materials. They impact dielectric performance. Most common types include 170°C, 180°C, or 200°C Tg materials with low Df.Layer StackupThe layer stackup arrangement minimizes thickness deviations from the center-line axis for better impedance control. Core thicknesses are often multiples of prepreg thicknesses.Via ConstructionThere are three main types of via construction:Through hole – Low cost, but presents impedance discontinuityBlind – Only connects inner layers, allowing uninterrupted outer planeBuried – Connects inner layers without reaching outer layersBlind/buried vias minimize discontinuities in ground planes for best HF performance. Microvias (0.10-0.15mm) are used for highest frequencies.Surface FinishesENIG (Electroless nickel, immersion gold) offers the best surface for HF circuits. HASL (Hot air solder leveling) is lower cost but can cause solder fillets which impact impedance. Other finishes like Immersion Silver or OSP (Organic Solderability Preservative) provide intermediate performance/cost.High Density InterconnectsTo fit routing dense ICs, traces can be narrowed or substrates thinned. Backdrilling (removing stub portions of unused vias) and staggered vias

A VLP with Windows Movie Maker [Part 2] - VidLii

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