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Zynq System-on-Chip (SoC) integrates both Processor and Programmable Logic architectures, where the whole functionality of a system is placed on a single chip. Due to the advancement of process technology, the complexity of circuit analysis becomes harder and the failure modes are becoming marginal, e.g., leakage in nano-ampere range. SoC devices require very challenging work for failure localization...
Recently, FInFET is introduced to deliver products with higher speeds and power efficiencies. Due to its 3D structure, FinFET results in complexity during the failure analysis process. Conventionally, the failure analysis (FA) starts with electrical failure analysis (EFA) to isolate the fault and follows by the physical failure analysis (PFA) to find the root cause. However, for the advanced technology,...
The influence of forward current freewheeling time on the reverse recovery di/dt robustness of Superjunction (SJ) MOSFET body diode is investigated in detail. It is found that the maximum di/dt capability of body diode is improved dramatically with reducing the forward current freewheeling time. To explore this phenomenon, physical TCAD simulations and experiments have been carried out. It shows that...
A novel electrostatic discharge (ESD) clamp circuit for power-rail ESD protection, consisting of the stacked transistors and biased RC network, is proposed in a 90 nm CMOS process. The biased RC network possesses a small footprint and the detection circuit has a pretty low leakage current of up to 12 nA under normal operation. The proposed ESD clamp circuit has a long hold-on time of 800 ns under...
Defect localization of short failures has been a big challenge in modern advanced nanoscale devices. In recent years, Electron Beam Induced Resistance Change (EBIRCh) technique has been applied to failure analysis. The EBIRCh technique incorporated into SEM based nanoprobing system allows not only direct electrical characterization of suspicious bridge sites but also direct pinpointing of short defects...
We fabricated high resolution electron beam with carbon nanotube cold cathode for microscopy application. The electron beam shows a resolution of 165 μm with phosphor light area measurement and higher emission current more than 60 μA. The electron beam has 9 individual electron sources with CNTs. The electron emission current depend on the length and pitches between CNT emitters. The isolated individual...
Effective integration of local and global contextual information is crucial for dense labeling problems. Most existing methods based on an encoder-decoder architecture simply concatenate features from earlier layers to obtain higher-frequency details in the refinement stages. However, there are limits to the quality of refinement possible if ambiguous information is passed forward. In this paper we...
The issue of remaining useful life (RUL) prediction has already become a quite interesting topic in industrial product. The data driven RUL prediction has been applied to the current research by taking advantage of a long-short term memory (LSTM)-recurrent neural network (RNN) approach. This means that even in a specified long-short term memory bound and limited available data sets, the RUL predictions...
Despite the recent success of neural networks in image feature learning, a major problem in the video domain is the lack of sufficient labeled data for learning to model temporal information. In this paper, we propose an unsupervised temporal modeling method that learns from untrimmed videos. The speed of motion varies constantly, e.g., a man may run quickly or slowly. We therefore train a Multirate...
With the advantages of strong parallelism and mass information storage, DNA computing has become the hot spot in the field of computer science, mathematic, and nanoscience. Using DNA computing, lots of complex problems have been solved. Compared with the logic gates based on DNA strand displacement, we present an optimize strategy to introduce DNAzyme as a control. The output of this system depends...
Field-effect transistors (FETs) have been developed from silicon based to carbon nanotubes (CNTs) based, and the fabrication space became three-dimensionl (3D). Such fabrication process requires to accurately assemble a single CNT in 3D. However, most of the current assembly technologies were used for planar structures but not for 3D structures. In this study, we aim to use nanomanipulation based...
This paper from the existing stm32 gateway, pointed out that the existing design of the lack of monitoring the environment to take pictures. Aiming at this problem, this paper presents a set of design and implementation based on stm32f103zet6 wireless gateway. This paper first gives the gateway hardware design, elaborated its working mechanism. In the software design to give the specific process of...
Modeling of high order interactional context, e.g., group interaction, lies in the central of collective/group activity recognition. However, most of the previous activity recognition methods do not offer a flexible and scalable scheme to handle the high order context modeling problem. To explicitly address this fundamental bottleneck, we propose a recurrent interactional context modeling scheme based...
In this work, we propose Residual Attention Network, a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in an end-to-end training fashion. Our Residual Attention Network is built by stacking Attention Modules which generate attention-aware features. The attention-aware features from different modules change adaptively...
SRAMs play an important role for VLSI's performances. However, with the reduction of IC's feature size and power supply voltage, the reading and writing stability of the storage cells has been decreasing. This paper presents two novel seven transistor SRAM cells based on Dual-Threshold (DT) Independent-Gate (IG) FinFETs. The read and write operations are separated by adding a high threshold IG FinFET...
HfO2 gate dielectric is fabricated by atomic layer deposition on an n-type germanium (Ge) substrate to form p-type Ge MOS capacitors. Three solution-based chemical treatments of the Ge surface using propanethiol, octanethiol and (NH4)2S solutions respectively as well as post-metallization annealing are investigated to improve the interface quality of HfO2 gate dielectric on the Ge substrate. Experimental...
For TCP-friendly multimedia applications, congestion control may bring about disadvantages such as the variability of sending rate and Round Trip Time although it helps to improve robustness of Internet. Aiming at alleviating this variability and further guaranteeing the user-perceived service quality in the aspect of network layer, this paper proposes a smooth adaptive adjustment mechanism for Random...
Prognostics and Health Management (PHM) can enhance reliability and reduce maintenance costs of the target system by providing advance warning of failure. To achieve the goals of PHM, prognostics is the most important and crucial. Prognostic approaches can be roughly divided into two categories: model-based methods and data-driven methods, both of which have advantages and limitations. To overcome...
A multiple hypothesis tracking (MHT) algorithm based on multi-feature fusion is presented in this paper to counter range deception jammings. Sparse decomposition coefficients and bispectrum features are extracted to distinguish the targets and the jammings. A two-stage fusion structure using neural network and Dempster-Shafer evidence theory is designed to implement multi-feature fusion so as to get...
Convolutional neural network (CNN) based machine learning requires a highly parallel as well as low power consumption (including leakage power) hardware accelerator. In this paper, we will present a digital ReRAM crossbar based CNN accelerator that can achieve significantly higher throughput and lower power consumption than state-of-arts. The CNN is trained with binary constraints on both weights...
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