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...

In preadipocytes, alpha2-adrenergic receptor (alpha2-AR) stimulation leads to a Gi/Go-dependent rearrangement of actin cytoskeleton. This is characterized by a rapid cell spreading, the formation of actin stress fibers, and the increase in tyrosyl phosphorylation of the focal adhesion kinase (pp125(FAK)). These cellular events being tightly controlled by the small GTPase p21(rhoA), the existenc...

INTRODUCTION Increased activity of osteoclasts is responsible for bone loss and joint destruction in rheumatoid arthritis. For osteoclast development and bone resorption activity, cytoskeletal organization must be properly regulated. MicroRNAs (miRNAs) are endogenous small noncoding RNAs that suppress expression of their target genes. This study was conducted to identify crucial miRNAs to contr...