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This paper examines current and likely future developments in signal and vision processing for practical applications, emphasising where possible the prospects for low‐cost high‐speed systems.

This paper deals with the reflecting rays of yarn.

The modeling, assuming that the fibers are arranged around the surface of elliptic yarn and reflecting rays of yarn are consisted of reflecting rays of fibers, is established using mathematical method. We can get a distributional curve of reflecting rays by this method.

It was found that because resolution was an important parameter in measurement equipment, the result of modeling must be filtered. It gives fundamental theory for selecting resolution and we also provide other useful value for selecting equipment of image processing. Resolution is an important parameter for measurement equipment. We have provided the minimum resolution for yarn. When we do image processing for yarn, we can get correct information of yarn by image processing with the minimum resolution and over.

The result using different measurement equipment does not show the same result, therefore, the model must be filtered according to resolution.

Although previous researches have used the reflecting property of yarn, little work that analyzed the reflecting model of yarn and the relationship between resolution and reflecting property has been achieved. We present a method of analyzing reflection of yarn.

The new process was developed to offer a superior method of forming a resist pattern on a copper‐clad laminate acting as plating and etch resist. The advantages over existing methods include superior resolution, increased automation, improved reliability, and lower applied cost. The process is unique, combining the precise coating of the blank board with UV coating resist, exposing the resist through a phototool held precisely off‐contact and the development of the formed latent image with an aqueous solution. The processing is carried out using fully automated equipment without any manual handling of either laminates or phototool.

Examines the thirteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital skin of the future smart construction site.

The paper provides a systematic and hierarchical classification of 114 articles from both industry and academia on the digital skin concept and evaluates them. The hierarchical classification is based on application areas relevant to construction, such as augmented reality, building information model-based visualisation, labour tracking, supply chain tracking, safety management, mobile equipment tracking and schedule and progress monitoring. Evaluations of the research papers were conducted based on three pillars: validation of technological feasibility, onsite application and user acceptance testing.

Technologies learned about in the literature review enabled the envisaging of the pervasive construction site of the future. The paper presents scenarios for the future context-aware construction site, including the construction worker, construction procurement management and future real-time safety management systems.

Based on the gaps identified by the review in the body of knowledge and on a broader analysis of technology diffusion, the paper highlights the research challenges to be overcome in the advent of digital skin. The paper recommends that researchers follow a coherent process for smart technology design, development and implementation in order to achieve this vision for the construction industry.

Examines the fourteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

To review recent developments in machine vision hardware and techniques, as revealed in the Image Processing and Optical Technology Exhibition, 2006.

Different sections of the paper examine new cameras and their interfacing, smart cameras with DSP processors, a powerful framegrabber, high intensity light emitting diode (LED) lighting, and developments in teraherz sources and detection.

Smart cameras now exist with greater processing speed than a PC. A new generic programming interface aims to ease the incompatibilities of digital cameras. Water cooling has produced a very intense and long life LED light, and a novel goniophotometer has no moving parts. Rapid advances are occurring in the field of terahertz imaging.

Provides an update on machine vision technology for scientists and engineers generally, and a source of contact information for specialists to follow up where necessary.

This main purpose of this study is to summarize the experience at the Construction Technology and Management Center (CTMC) to develop a Digitalizing Construction Monitoring (DCM) system by integrating 3DAutoCAD drawings and digital images. The objective of this paper is to propose a framework model for the DCM system and discuss in detail the steps involved for developing and calculating the 3D coordinate values from 2D digital images.

As digital images are one of the major sources of information from site, the process of measuring the project progress from images is quite challenging. This study used Photogrammetry techniques to extract the information from digital images, which can be concisely defined as the science of calculating 3D object coordinates from images, with PhotoModeler pro‐version software. Issues pertaining to the quality of the 3D model derived from 2D digital images are also discussed.

A framework model for DCM was proposed and different phases were discussed. A pilot case study on Larkin Mosque Car Parking Project was conducted to check the validity of using Photogrammetry techniques to extract 3D coordinate values by using PhotoModeler Software. Preliminary results show that significant control has been achieved to extract 3D coordinate values from 2D digital images, which and can be integrated into the digitalized system to automate the construction project monitoring process.

The techniques discussed in this paper are used for monitoring the project progress systematically. The results of this study will be incorporated to develop a fully automated project progress monitoring system, which can be updated automatically as the project progresses automatically.

The aim of this article is to show how Taguchi methods can be applied to health care to improve the quality of medical images. Quality is often integrated with the performance and parameters of the design of medical applications. Many imaging methods can be designed by setting the correct combination of parameters and estimating the contribution of individual quality influencing factors by means of incorporating parameter design and orthogonal arrays. The performance of any imaging equipment can be measured by signal‐to‐noise ratio. This inherent index can give a sense of how close the performance is to the ideal.

Data were collected from a database of 82 diagnostic thoracic computed tomography (CT) scans. Signal‐to‐noise ratios (S/N) were calculated.

Given the S/N's, the best CT level was found to be level 4.

To reduce bias resulting from the observer's readings, robust equipments should be designed incorporating Taguchi's experimental design. Further work is needed to establish imaging protocols and new hardware design.

The melt pool created by a laser is one of the most important factors affecting the quality of the deposit in a laser metal deposition (LMD) process. The high‐intensity infrared (IR) radiation emitted by the melt pool saturates a conventional camera sensor preventing useful data acquisition. The purpose of this paper is to discuss the development of a low‐cost vision system to monitor the size of the melt pool for in‐process quality control of the deposit.

According to the black body radiation theory, there is no radiation emitted in the ultraviolet (UV) region from the melt pool created in the LMD process. IR radiation and visible light are the only radiations inherent to the LMD process. UV illumination is utilized along with narrow band pass filters on a USB camera to achieve a clear image of the melt pool while IR radiation of the process is blocked out. The melt pool size and shape were closely monitored during the deposition process.

A clear image of the melt pool was obtained using a relatively low‐cost imaging system during laser deposition process.

Traditional approaches to vision systems in high‐intensity processes use a high‐speed video camera fitted with IR filters to prevent saturation of the camera sensor. Such systems are usually complex and expensive to run and maintain. This paper demonstrates an alternative and lower cost method to achieve in process monitoring in an LMD process.