In recent years, memristive crossbar-based neuromorphic computing systems (NCS) have obtained extremely high performance in neural network acceleration. However, adversarial attacks and conductance variations of memristors bring reliability challenges to NCS design. First, can fool the pose a serious threat security critical applications. On other hand, device lead degradation accuracy. this pa...

PARyOpt 1 is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. especially attractive computational due to its low cost footprint as well ability account uncertainties in data. A key challenge efficiently deploy any strategy on distributed computing systems synchronization step, where data from multiple calls assimilated...

در صنعت پالایشگاه و پتروشیمی‌ها به دلیل وجود تجهیزات تمام فلزی محیط اسیدی خوردگیتنشی زیاد است با توجه افزایش کاربرد فولادهای زنگ نزن این صنایع پژوهش بررسی اثر ضربات امواج اولتراسونیک بر رفتار خوردگی فولاد 316 (S.S 316) می‌پردازیم. هدف از تأثیر روش تنش‌زدایی برافزایش مقاومت قطعات محیط‌های خورنده است. لازم ذکر که، تنش پسمان نمونه‌ها جوش‌کاری ایجادشده ابتدا نمونه مدنظر استفاده ارتعاش تحت فرکانس 20...

Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of execution result a algorithm, it is crucial inform users noises used computer compiled physical circuits. However, an intuitive systematic way ma...

As the machine learning and systems communities strive to achieve higher energy efficiency through custom deep neural network (DNN) accelerators, varied precision or quantization levels, model compression techniques, there is a need for design space exploration frameworks that incorporate quantization-aware processing elements into accelerator while having accurate fast power, performance, area...

Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based are robust to noise, but lack complex background image modeling capability; representation-based good at localization, accuracy shape contour extraction...

This paper discusses the development and implementation of architecture a Framework for Aerospace Vehicle Reasoning, `FAVER'. Integrated Health Management systems require holistic view aircraft to isolate faults cascading between systems. FAVER is system-agnostic framework developed such propagating by incorporating Digital Twins (DTs) reasoning techniques. The flexibility work with different t...

In recent years, malware detection has become an active research topic in the area of Internet Things (IoT) security. The principle is to exploit knowledge from large quantities continuously generated malware. Existing algorithms practise available features for IoT devices and lack real-time prediction behaviours. More thus required on cope with misclassification input data. Motivated by this, ...

Sparse linear algebra is an important kernel in many different applications. Among various sparse general matrix-matrix multiplication (SpGEMM) algorithms, Gustavson’s column-wise SpGEMM has good locality when reading input matrix and can be easily parallelized by distributing the computation of columns output to processors. However, accumulation (SPA) step SpGEMM, which merges partial sums fro...