We report on the development of an amplifier laser system for compact particle accelerators, operating at room temperature. The active medium of the amplifier is comprised of periodically bonded Nd3+:YAG and sapphire ...
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In this work, we present a reconfigurable edge sensing system leveraging monolithic three-dimensional (3d) integration to integrate tens of thousands of sensors directly over conventional silicon CMOS circuitry, fabri...
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ISBN:
(纸本)9798350373769;9798350373752
In this work, we present a reconfigurable edge sensing system leveraging monolithic three-dimensional (3d) integration to integrate tens of thousands of sensors directly over conventional silicon CMOS circuitry, fabricated entirely within major commercial semiconductor manufacturing facilities. Owing to the dense and fine-grained3dintegration, our demonstrated IC can rapidly adapt its architecture to trade-off spatial sampling resolution, temporal sampling resolution, and bit resolution optimized to the current environment sensed by the chip. Within milliseconds, the chip can modulate the amount of data captured per sensing operation by >2,000X, corresponding with a >16,000 range in power consumption. While this demonstration integrates carbon nanotube (CNT)-based FETs (CNFETs) as gas sensing elements on the upper-layer of the chip, this reconfigurable edge sensing IC can be implemented with a wide variety of emerging sensing technologies and thus is a platform for future intelligent sensing at the edge.
2.5d silicon interposer for multi-die heterogeneous integration is the mainstream package architecture for a high-performance computing (HPC) and an artificial intelligence (AI) application. In this study, 3.5d packag...
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ISBN:
(纸本)9798350334982
2.5d silicon interposer for multi-die heterogeneous integration is the mainstream package architecture for a high-performance computing (HPC) and an artificial intelligence (AI) application. In this study, 3.5d package is demonstrated to combine 2.5d silicon interposer and3d architecture to obtain high-performance and high-density interconnection with the small footprint system package. Extremely large Si interposer (4x reticle size) was manufactured and integrated with multi logic test chips with 12-HBMs, 3-chiplets and3d-ASIC. 3d-ASIC was manufactured by vertical interconnection of two partitioned chips by Cu-Cu hybrid bonding. 3d-ASIC will be able to overcome effectively the single chip reticle size limitation and large die yield issue in Si fabrication. Furthermore 12-HBMs and3-chiplets were assembled on silicon interposer using Chip on Wafer (CoW) process for higher system bandwidth. 3d-ASIC was attached on silicon interposer by solder reflow bonding process with 40um bump pitch. To avoid underfill void on narrow chip gap anddie to die space, vacuum devoid process was introduced and the underfill void under multi-chip was completely removed. The extremely large molded Si interposer with multi-die was assembled on organic substrate successfully showing the reliable joint quality by controlling molded Si interposer and substrate warpage effectively. The interfacial stress between various multi-heterogeneous chips was analyzed through finite element method (FEM) simulation and the impact on reliability will be discussed.
In this paper, we depict modern systemdesign methodologies via 3dintegration along with the advance of packaging, considering system prototyping, interconnecting, and physical implementation. The corresponding chall...
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ISBN:
(纸本)9781450399784
In this paper, we depict modern systemdesign methodologies via 3dintegration along with the advance of packaging, considering system prototyping, interconnecting, and physical implementation. The corresponding challenges are presented as well.
This article delves into the application of computer 3d vision technology in multimedia graphic design systems, aiming to explore how to improve design quality by enhancing the depth and interactivity of visual commun...
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ISBN:
(纸本)9798400716959
This article delves into the application of computer 3d vision technology in multimedia graphic design systems, aiming to explore how to improve design quality by enhancing the depth and interactivity of visual communication. By integrating advanced3d graphics processing algorithms, this study successfully developed a highly modular design system that can achieve complex 3d model rendering, support real-time lighting effects, and provide a user-friendly interactive interface. The system adopts GPU (General Processing Unit) acceleration technology, optimizes rendering pipelines, and ensures efficient graphics rendering performance. The research results indicate that in the testing of system response, it can be found that the response time is shorter than that of the improvedsystem, with an average response time of 0.48 seconds, while the average response time of traditional systems is 1.2 seconds. It can be seen that the system in this article operates smoothly in the UI (User Interface), and can maintain a good user experience even when dealing with complex design tasks. The results of this study not only broaden the application scope of computer 3d vision in the field of multimedia design, but also lay the foundation for subsequent research anddevelopment of related technologies.
We describe a 3d construction printing system comprising an industrial robot with a six-degrees-of-freedom manipulator and a pump that supplies mortar. Printing is realized by linking the manipulator to the pump. To m...
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ISBN:
(纸本)9798350358513;9798350358520
We describe a 3d construction printing system comprising an industrial robot with a six-degrees-of-freedom manipulator and a pump that supplies mortar. Printing is realized by linking the manipulator to the pump. To measure and evaluate printed object shapes, we attached a time-of-flight camera with +/- 2-mm measurement accuracy to an end effector mounted on the manipulator, thereby acquiring point-clouddata for printed objects. Using software developed to control the manipulator, and an open-source robotics middleware suite as the robot operating system, we merge the obtained point clouds. After printing mortar objects, we use the developedsystem to measure their shapes. Experimental results show that point clouds for printed objects have errors of 0 to 10 mm, while data from a conventional stationary 3d laser scanner has measurement accuracy of +/- 1 mm. Although merged point clouds show increased errors, measurement times decreased to approximately one-sixth those of conventional scanners. The increased error is likely due to factors such as the manipulator's weight and its installation at the end effector and the sensor. We use a total station to measure deflections to confirm the manipulator's positioning accuracy.
The integration of 3d innovation, Mixed Reality (MR), and blockchain in smart buildings has revolutionized the IoT sector. Visualization using 3d technology and immersive interfaces allows users to control and interac...
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A novel unsupervised-based segmentation method is introduced to accurately delineate the lung region in 3d CT images based on appearance and geometric models. First, a probabilistic model that utilized a linear combin...
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ISBN:
(纸本)9781728198354
A novel unsupervised-based segmentation method is introduced to accurately delineate the lung region in 3d CT images based on appearance and geometric models. First, a probabilistic model that utilized a linear combination of Gaussian (LCG) tuned by a modified expectation maximization (EM) algorithm, is employed to model the density distribution of 3d CT chest volume. Subsequently, the initial labeling of the 3d CT chest volume is mapped to a probability distribution based on a 3d Markov Gibbs random field (MGRF) for refining. Finally, a geometric model is employed to refine the proposed segmentation by interpolating/connecting two points on its boundary with high curvature. The effectiveness of the proposed approach on 3d computed tomography (CT) chest scans of 26 patients diagnosed with different severity of coronavirus disease 2019 (COVId-19) is evaluated using four different metrics: overlap coefficient, dice similarity coefficient (dSC), absolute lung volume difference (ALVd), and 95(th)-percentile bidirectional Hausdorff distance (95(th) Hd). The proposed method achieved 94.89%(+/- 2.39%), 97.36%(+/- 1.27%), 1.79(+/- 1.89), and 4.75(+/- 2.3), respectively. Compared to three state-of-the-art methods based on deep learning approaches, the proposed method achieved superior performance in segmenting pathological lung tissues, demonstrating the promising of the proposed segmentation system.
This study introduces a simple and low-cost approach for fabricating and integrating 3d electrodes into droplet microfluidic detector using liquid metal. These 3d electrodes provide high sensitivity by ensuring a unif...
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The condition assessment method of the Insulated Gate Bipolar Transistor (IGBT) devices is investigated in this paper. Simulation models in 2d and3d are constructed based on the finite element models, and the differe...
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