다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Deep learning for sensor-based activity recognition: A survey

Today cross-cutting approaches, where molecular engineering and clever processing are synergistically coupled, allow the chemist to tailor complex hybrid systems of various shapes with perfect mastery at different size scales, composition, functionality, and morphology. Hybrid materials with organic–inorganic or bio–inorganic character represent not only a new field of basic research but also, via their remarkable new properties and multifunctional nature, hybrids offer prospects for many new applications in extremely diverse fields. The description and discussion of the major applications of hybrid inorganic–organic (or biologic) materials are the major topic of this critical review. Indeed, today the very large set of accessible hybrid materials span a wide spectrum of properties which yield the emergence of innovative industrial applications in various domains such as optics, micro-electronics, transportation, health, energy, housing, and the environment among others (526 references).

Applications of advanced hybrid organic–inorganic nanomaterials: from laboratory to market

Microbial adhesion to surfaces and the consequent biofilm formation has been documented in many different environments. Biofilms constitute a protected mode of growth that allows microorganisms to survival in hostile environments, being their physiology and behavior significantly different from their planktonic counterparts. In dairy industry, biofilms may be a source of recalcitrant contaminations, causing food spoilage and are possible sources of public health problems such as outbreaks of foodborne pathogens. Biofilms are difficult to eradicate due to their resistant phenotype. However, conventional cleaning and disinfection regimens may also contribute to inefficient biofilm control and to the dissemination of resistance. Consequently, new control strategies are constantly emerging with main incidence in the use of biosolutions (enzymes, phages, interspecies interactions and antimicrobial molecules from microbial origin). The present review will focus on describing the mechanisms involved in biofilm formation and behavior, deleterious effects associated with their presence, and some of the current and emergent control strategies, providing new insight of concern for food industry.

/pdf/a-review-of-current-and-emergent-biofilm-control-strategies-ivnrpyqr4q.pdf

A review of current and emergent biofilm control strategies

FlexStylus, a flexible stylus, detects deformation of the barrel as a vector with both a rotational and an absolute value, providing two degrees of freedom with the goal of improving the expressivity of digital art using a stylus device. We outline the construction of the prototype and the principles behind the sensing method, which uses a cluster of four fibre-optic based deformation sensors. We propose interaction techniques using the FlexStylus to improve menu navigation and tool selection. Finally, we describe a study comparing users' ability to match a changing target value using a commercial pressure stylus and the FlexStylus' absolute deformation. When using the FlexStylus, users had a significantly higher accuracy overall. This suggests that deformation may be a useful input method for future work considering stylus augmentation.

/pdf/an-evaluation-of-a-novel-plastic-optical-fibre-sensor-for-424wr6ffq4.pdf

An evaluation of a novel plastic optical fibre sensor for axial strain and bend measurements

We introduce a novel method of chemically removing the cladding of PMMA based polymer optical fibre (POF) using organic solvents which can also be used to create etched tapers of any profile within lengths of POF or at fibre ends. The process is simple, inexpensive, low in chemical hazard and operator skill and has application to both improve the performance of numerous POF devices and allow conversion of silica devices to polymer. We give details of the etching processes involved and optical properties of the devices produced. We believe that this is the first application of this chemical process to the tapering of POF cores and suggest possible future applications of the technique.

Chemical tapering of polymer optical fibre

While a number of literature reviews have been published in recent times on the applications of optical fibre sensors in smart structures research, these have mainly focused on the use of conventional glass-based fibres. The availability of inexpensive, rugged, and large-core plastic-based optical fibres has resulted in growing interest amongst researchers in their use as low-cost sensors in a variety of areas including chemical sensing, biomedicine, and the measurement of a range of physical parameters. The sensing principles used in plastic optical fibres are often similar to those developed in glass-based fibres, but the advantages associated with plastic fibres render them attractive as an alternative to conventional glass fibres, and their ability to detect and measure physical parameters such as strain, stress, load, temperature, displacement, and pressure makes them suitable for structural health monitoring (SHM) applications. Increasingly their applications as sensors in the field of structural engineering are being studied and reported in literature. This article will provide a concise review of the applications of plastic optical fibre sensors for monitoring the integrity of engineering structures in the context of SHM.

/pdf/plastic-optical-fibre-sensors-for-structural-health-2ytlvhu6j8.pdf

Plastic Optical Fibre Sensors for Structural Health Monitoring: A Review of Recent Progress

This paper considers the impact of recent developments in polymer optical fibre (POF) and its application in optical fibre sensors and optical measurement. A discussion of techniques developed for POF-based sensors and devices, and their applications includes sensors to measure flow, biofilm growth, turbidity, toxicity, humidity, rotation and fluorescence. Techniques to photoinduce refractive index changes and physical gratings into POF, and chemically to remove the cladding and taper plastic optical fibres are described, along with the use of fluorescent dye-doped plastic optical fibres (FPOF) in sensors and devices.

Plastic optical fibre sensors and devices

Our focus in this research is on the use of deep learning approaches for human activity recognition (HAR) scenario, in which inputs are multichannel time series signals acquired from a set of body-worn inertial sensors and outputs are predefined human activities. Here, we present a feature learning method that deploys convolutional neural networks (CNN) to automate feature learning from the raw inputs in a systematic way. The influence of various important hyper-parameters such as number of convolutional layers and kernel size on the performance of CNN was monitored. Experimental results indicate that CNNs achieved significant speed-up in computing and deciding the final class and marginal improvement in overall classification accuracy compared to the baseline models such as Support Vector Machines and Multi-layer perceptron networks.

/pdf/human-activity-recognition-with-inertial-sensors-using-a-e3bg1umi3r.pdf

Patricia Scully

Papers

An evaluation of a novel plastic optical fibre sensor for axial strain and bend measurements

Chemical tapering of polymer optical fibre

Plastic Optical Fibre Sensors for Structural Health Monitoring: A Review of Recent Progress

Plastic optical fibre sensors and devices

Human activity recognition with inertial sensors using a deep learning approach