Glycoproteins occur naturally as complex mixtures of differently glycosylated forms which are difficult to separate. To explore their individual properties, there is a need for homogeneous sources of carbohydrate-protein conjugates and this has recently prompted us to develop a novel method for the site-selective glycosylation of proteins. The potential of the method was illustrated by site-sel...

Building change detection using remote sensing images is essential for various applications such as urban management and marketing planning. However, most approaches can only detect the intensity or type of change. The aim this study to dig more information from time-series synthetic aperture radar (SAR) images, frequency moments. This paper proposes a novel multitemporal building framework tha...

The exponential increase of computing power, predicted by Moore’s law [1], influences modern inspection capabilities. The availability of computing power allows the design and implementation of affordable sensing devices employing numerical analysis to generate measurement results. In particular, modern laser sensors [2] benefit from computing power by providing rapid and accurate range measure...

Coordinate measuring machines (CMMs) are widely used to check dimensions of manufactured parts, especially in the automotive industry. The major obstacles in automation of these measurements are fixturing and clamping assemblies, which are required in order to position the measured object within the CMM. This paper describes how an industrial robot can be used to manipulate the measured object ...

A huge amount of rough data is available in companies on past maintenance activities as a result of the implementation of CMMS (Computerized Maintenance Management System). In that context, we focus on an experience feedback system dedicated to maintenance, allowing the capitalization of past interventions by means of a formal knowledge representation language, and the extraction from these int...

We develop a framework for estimating the matching performance of binary correlation matrix memories (CMMs). The framework is applicable to non-recursive, fully-connected systems with binary (0,1) Hebbian weights. It can handle both the full and partial matching of single or multiple data items under non-sparse encoding. Development takes place under a probability theory framework. Theoretical ...

The article describes the transplantation of Matrix Method as an assessment of accuracy of coordinate measurement for Large CMM. The method of the synthetic description of the accuracy is used successfully for small and medium-sized CMMs. It is implemented for large measurements as research project nr: PB 5T07/D03824. The issue involves many problems, especially from a technical point of view. ...

CANARY Contamination event detection system CMMS Computerized maintenance management systems CWS Contamination warning system DHS Department of Homeland Security DSL Digital subscriber lines EDS Event detection system EPA U.S. Environmental Protection Agency GA Genetic algorithm GAO Government Accountability Office h Hours HMI Human–machine interface ICS Industrial control system IT Information...

The paper concerns the analysis and the design of the measurement process by which position tolerances on mechanical parts are checked by Coordinate Measuring Machines (CMM). This measurement process is widely used in industry and conditions the good functioning of millions of components, assemblies and systems. CMMs inspect parts by exploring their surface at a small number of points and retur...