Human activity classification with radar signal processing and machine learning

As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based human activity recognition has been identified as a sensing modality of choice because it is privacy-preserving and does not require end-users compliance or manipulation. In...

A computationally efficient thermal model for selective laser melting

Selective laser melting (SLM) is a widely used additive manufacturing method for building metal parts in a layer-by-layer manner thereby imposing almost no limitations on the geometrical layout of the part. The SLM process has a crucial impact on the microstructure, strength, surface quality and even the shape of the part, all of which depend on...

A Novel Defect Diagnosis Method for Kyropoulos Process Based Sapphire Growth

When sapphire crystal is prepared with Kyropoulos method, the necking-down growth process is a key stage. Sapphire growth defect is a big problem in this stage. However, diagnosing growth defects is subject to the interference of workers subjectivity and accuracy always goes down. To address the problem, a novel defect diagnosis method is...

Node varying regularization for graph signals

While regularization on graphs has been successful for signal reconstruction, strategies for controlling the bias-variance trade-off of such methods have not been completely explored. In this work, we put forth a node varying regularizer for graph signal reconstruction and develop a minmax approach to design the vector of regularization...

Prediction of density and volume variation of hematite ore particles during in-flight melting and reduction

HIsarna is a promising ironmaking technology to reduce CO ₂ emission. Information of phase transformation is essential for reaction analysis of the cyclone reactor of the HIsarna process. In addition, data of density and volume of the ore particles are necessary for estimation of the residence time of the particles in the cyclone...

A contactless measuring speed system of belt conveyor based on machine vision and machine learning

During the operation of the belt conveyor, measuring speed of the belt conveyor is vital to the safe and efficient operation. In the existing measuring speed system, the measurement instrument is required contacting with the surface of the belt. The contact measurement method cannot avoid the occurrence of measuring error caused by slipping...

Visualised Frames: How Sketching Influences Framing Behaviour in Design Teams

Framing is a crucial skill for connecting problem and solution spaces in the creative design process, both for individuals and teams. Frames are implicit in individuals’ cognitive thinking, but the creation of shared frames plays a vital role in collaborative design. Many studies have attempted to describe the framing process, but little is...

Denoising controlled-source electromagnetic data using least-squares inversion

Strong noise is one of the toughest problems in the controlled-source electromagnetic (CSEM) method, which highly affects the quality of recorded data. The three main types of noise existing in CSEM data are periodic noise, Gaussian white noise, and nonperiodic noise, among which the nonperiodic noise is thought to be the most difficult to...

Thermodynamic evaluation for reduction of iron oxide ore particles in a high temperature drop tube furnace

Melting and reduction of fine iron ore particles in the gas environment of a HIsarna smelting cyclone is a critically important topic, but very limited information is currently available except for some experimental data from high temperature drop tube furnace (HTDF). This work discusses the equilibrium state of reacting iron ore in the HTDF...

Morphodynamic impacts of large-scale engineering projects in the Yangtze River delta

Morphodynamics of world's river deltas are increasingly affected by human activities, which are of great ecological, economic and social implications. However, impacts of human interventions in deltaic regions are insufficiently<br/>understood, especially superimposed upon diminishing sediment supplies. This study uses the heavily interfered...

Whole failure process analysis for jointed rock masses based on coupling method of DDA and FEM

The elastic-plastic mechanical behaviour is a typical characteristic of rock mass. The load action will bring on the local destruction, large deformation, even whole failure of rock mass with the discontinuous mediums (e.g. joint, crack and fault). It is a coupling process of the continuous deformation and the discontinuous deformation. The...

Processing and recognition of handwriting in multimedia environments