To meet the demand of 19in radio frequency instruments for high reliability chassis, the chassis structure design and manufacturing was carried out focusing on the chassis components, mainly including chassis structur...
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Coverage Guided Fuzzing (CGF) is a greybox test generation technique. Bounded Model Checking (BMC) is a whitebox test generation technique. Both these have been highly successful at program coverage as well as error d...
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The development of Ferroelectric Field-Effect Transistor (FeFET) manufacturing requires high-quality test solutions, yet research on FeFET testing is still in a nascent stage. To generate a dedicated test method for F...
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Due to recent trends and rapid automation, the percentage of electronics in automobiles has grown at a rapid pace. This includes complex safety critical components, such as Advanced Driver Assistance Systems (ADAS) an...
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ISBN:
(纸本)9798350384406
Due to recent trends and rapid automation, the percentage of electronics in automobiles has grown at a rapid pace. This includes complex safety critical components, such as Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Systems. Functional safety standards are designed to assure high quality and long-term reliability of electronic components that are deployed in automobiles. There exist numerous industry solutions for automotive testing involving both functional and structural techniques Logic BIST (LBIST) being a popular one. However, LBIST is sensitive to unknown states (X), which predominantly arise due to uninitialized sequential elements in the design or paths failing timing closure. This paper proposes a scheme for X tolerance based on static chain masking. The objective of this paper is to describe a methodology to optimize pattern count (test time) by integrating LBIST Observation Scan Technology (OST) with traditional static chain masking. OST test points are special type of observe points that capture circuit responses during the shift cycles. The proposed solution involves running LBIST in two phases exploiting OST for pattern reduction and static chain masking for containing unknowns. Experiments run on contemporary automotive designs and results reported herein show remarkable improvement in test time when compared to traditional X tolerance schemes for LBIST based designs.
Automatic test pattern generation (ATPG) is a critical technology in integrated circuit testing. It searches for effective test vectors to detect all possible faults in the circuit as entirely as possible, thereby ens...
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Recent studies have shown Neural Networks (NNs) are highly vulnerable to fault attacks. This work proposes a novel defensive framework, NNtesting, for detecting the fault attack and recovering the model. We first leve...
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ISBN:
(纸本)9798350323481
Recent studies have shown Neural Networks (NNs) are highly vulnerable to fault attacks. This work proposes a novel defensive framework, NNtesting, for detecting the fault attack and recovering the model. We first leverage gradient-based optimization to generate a set of high-quality test Vectors (TVs) that effectively differentiate faulty profile models and further optimize the TV set by reducing the TVs through compression. The selected final TV set is then used to recover the model. The effectiveness of the proposed method is comprehensively evaluated on a wide range of models across various benchmark datasets. For instance, we successfully generate more than thousands of TV candidates using a gradient-based generation method. After compression, we achieve up to 94.76% detection success rate with only 140 TVs on the CIFAR-10 dataset.
Aircraft liquid flow test is very important to evaluate the performance and state of aircraft systems, and reasonable liquid flow is the guarantee that aircraft can fly normally. Traditional flow measurement is mostly...
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Load flight test is one of the important projects for the approval flight test of transport aircraft. The flight test team has accumulated rich experience through multiple model flight tests, and has made significant ...
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Nowadays, Graphics Processing Units (GPUs) are effective platforms for implementing complex algorithms (e.g., for Artificial Intelligence) in different domains (e.g., automotive and robotics), where massive parallelis...
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The proceedings contain 48 papers. The topics discussed include: a high performance PODEM algorithm with the improved backtrace process;CRISP: triangle counting acceleration via content addressable memory-integrated 3...
ISBN:
(纸本)9798331540333
The proceedings contain 48 papers. The topics discussed include: a high performance PODEM algorithm with the improved backtrace process;CRISP: triangle counting acceleration via content addressable memory-integrated 3D-stacked memory;design of ultra-high throughput and resource efficiency TRNG based on NAND-XOR and feedback XOR ring oscillators;advanced DFT clock control architectures with agile development for chisel-based high performance RISC-V processors;efficient functional safety method for gate-level fine-grained digital circuits with ISO-26262;ELSeM: an efficient and lightweight security mechanism for DSP;enhancing subthreshold stuck-at fault testing with polymorphic gates;a brief survey on randomizer design and optimization for efficient stochastic computing;and a scan slice reordering algorithm based on minimizing entropy to enhance test data compression efficiency.
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