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A latch-up immune robust SCR with an N+ top layer and an additional Nwell region (Nwell2) is proposed in this paper. The N+ top layer and Nwell2 divide the original SCR into three new SCRs with sharing emitter, which provide the deeper ESD current (Iesd) path to improve the holding voltage (Vh) and failure current (It2). The relation between Vh and base-concentration (Nb) for LVTSCR is given to provide...
This paper proposes a novel LDMOS structure with ultra-shallow trench isolation (USTI) and p-buried layer in 0.18um BCD technology platform. This platform offers 18V to 40V LDMOS devices which has best-in-class specific on-resistant (Ron, sp) with respect to similar technologies. USTI structure is implemented in LDMOS drift region to reduce specific on-resistance (Ron, sp) by shortening the current...
Cloud computing has seen rapid growth due to its massive scalability in storage and computing power. Leading the trend, IBM released a hybrid cloud development platform, based on infrastructure as a service. Although tens of thousands of customers visit the platform everyday, a large percentage of trial customers left as their free-trial access expired, and a high proportion of paying customers dropped...
A new 600V SOI shorted-anode LIGBT with multi-segment anode (MSA) is proposed and investigated in this paper. The device features a multi-segmented P+ anode and p-buried layers (PBL) formed in both anode and cathode regions. The combination of MSA and the PBL below the anode increase the anode distributed resistance (Rsa) and effectively suppress snapback effect with small dimensions in both x- and...
This paper presents three-dimensional (3-D) edge termination design of a 700-V triple reduced surface field (RESURF) lateral double-diffused MOSFET (LDMOS) with n-type top (n-top) layer. It is found that breakdown characteristics deterioration related to the electric field crowding and the local charge imbalance in the edge termination. The two crucial parameters LP and L2 in the layout of the transition...
A 1200V-class Reverse Conducting IGBT with Alternating N+/P Buffers (AB) is proposed and its mechanism is investigated for the first time. The AB RC-IGBT features a buffer layer with alternately doped N+ and P regions. The AB is separated from the collector by a part of N-drift region. The P buffer serves as the electron barrier during the unipolar mode and forces the electrons to flow through the...
In this paper, the transient overvoltage induced failure during high di/dt discharge is studied based on a cathode-short MOS controlled thyristor (CS-MCT). The intrinsic reason of this failure is that the pulse current with high di/dt flowing though the inherent parasitic cathode inductance, produces a high transient overvoltage that makes breakage of the gate oxide. The mechanism of the transient...
In this work, a novel GaN-based reverse blocking metal-insulator-semiconductor high electron mobility transistor (RB-MISHEMT) is investigated by TCAD sentaurus. A MIS field effect drain consisting of electrically shorted Ohmic and recessed MIS structure is adopted to enable the device with high reverse blocking capability and low offset voltage. The proposed enhancement-mode (E-mode) RB-MISHEMT delivers...
AlGaN/GaN lateral current regulating diodes (CRDs) featuring Ohmic anodes and hybrid trench cathodes have been proposed and successfully demonstrated on silicon substrates. By the introduction of a trench with a depth of 16.4 nm in the cathode, the regulating current dramatically decreases from 457.4 to 33.1 mA/mm. In such case, the device can deliver a constant current and keep from thermal runaway...
A novel DTI double RESURF LDMOS with P-sink layer is presented and experimentally demonstrated in this paper. The novel structure features a P-sink layer around the bottom of deep trench, which is formed with the Deep N-type Well (DNW) after the process of high temperature driving in. The highly doped P-sink layer restrains the extension of depletion region along the horizontal direction, improving...
Recent advances in medical imaging technologies generate a high volume of imaging data. Classification of cognitive outcome and disease status based on brain images is one of the most important tasks in neuroimaging studies. However it poses great challenge to the current classification methods due to the extremely high dimensionality and low signal to noise ratio in brain image data. In this article...
Based on Iterative Particle Swarm Optimization (PSO) Algorithm, comprehensive optimization problem of batch process is discussed in this paper. Batch process optimization problems in general to product concentration as optimization goal, if optimization object is changed to the sum of the product concentration, the reciprocal of reaction time and the reciprocal of energy loss and then optimization...
In this paper, the artificial neural network (ANN) method is proposed in magnetic optic image (MOI) test. In the MOI test, it uses the rotation polarized light to detect the magnetic field which is induced by the crack. In the specimen, the magnetic field distribution depends on the shape of the crack. In the detection, the influences of the magnetic domain spots make it difficult to identify the...
Hierarchical Multipole Methods (HMMs) are an important class of methods in scientific and engineering applications. They are challenging to parallelize for contemporary and emerging platforms using existing programming models. Asynchronous many-tasking (AMT) execution models provide abstractions suitable for HMMs and promise scalability in the context of future exascale systems. In our work we (1)...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensor is a kind of high-tech imaging radar developed rapidly in recent years, and it can get even less than 1 m high resolution SAR image. The feature of the VHR SAR image is different from the low or medium resolution SAR image and it contains more abundant information, so the traditional SAR image classification methods...
Optimizing Hadoop executions has attracted a lot of research contributions in particular in the domain of self-adaptive software systems. However, these research efforts are often hindered by the complexity of Hadoop operation and the difficulty to reproduce experimental evaluations that makes it hard to compare different approaches to one another. To address this limitation, we propose a research...
Nearly all existing estimations of the central subspace in regression take the frequentist approach. However, when the predictors fall naturally into a number of groups, these frequentist methods treat all predictors indiscriminately and can result in loss of the group-specific relation between the response and the predictors. In this article, we propose a Bayesian solution for dimension reduction...
Cloud computing conveys the image of a pool of unlimited virtual resources that can be quickly and easily provisioned to accommodate the user requirements. However, this flexibility may require to adjust physical resources at the infrastructure level to keep the pace of user requests. While elasticity can be considered as the de facto solution to support this issue, this elasticity can still be broken...
The technical state evaluation of Vehicle Equipment is a necessary step to operate and support. Considered conditions such as technical characters, operate environments and support elements, this paperresearches its technical state cluster, which is based on BIC(Schwarz's Bayesian Criterion). The conclusion reveals that BIC is accurate and concise to cluster the technical state of vehicle equipment.
In recent years, a large number of image retargeting methods have been proposed. Measuring their relative quality is of significant importance, and there is still room for improvement in the effectiveness of objective retargeted image quality assessment (RIQA) metrics. In this paper, we propose a registration based RIQA metric. First, we propose to calculate the flow map using an image registration...
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