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...

This study is aimed to develop a computer program analyze the color properties of raster images histological microspecimens used in pathological anatomy and forensic medicine. When developing program, we system for building client applications – Windows Presentation Foundation (WPF). The allows you create with visually attractive user interaction capabilities. programming language C#, as well b...

When visual sensor networks (VSNs) enter daily life in society, they not only bring great convenience but also cause people to worry about privacy. Traditional image encryption often displays the effect of snowflake encrypted images playing a part privacy protection, usability directly browsing taken by nodes VSNs is sacrificed. Recently, thumbnail-preserving (TPE) has been proposed balance and...

—Recently the developments of Ubiquitous Computing and Augmented Reality technologies have made many changes on the existing applications. However, the contents used in the applications have been not revised conceptually. Thus, an expansive representation of the contents is required to adapt resources to new computing environments, and to reflect new emerging features such as realism, mobility ...

The increasing computing demands of autonomous driving applications have driven the adoption multicore processors in real-time systems, which turn renders energy optimizations critical for reducing battery capacity and vehicle weight. A typical optimization method targeting traditional systems finds a speed under static deadline, resulting conservative savings that are unable to exploit dynamic...