A Nanoporous Supramolecular Metal–Organic Framework Based on a Nucleotide: Interplay of the π···π Interactions Directing Assembly and Geometric Matching of Aromatic Tails

Self-assembly is the most powerful force for creating ordered supramolecular architectures from simple components under mild conditions. π···π stacking interactions have been widely explored in modern supramolecular chemistry as an attractive reversible noncovalent tool for the nondestructive fabrication of materials for different applications. Here, we report on the self-assembly of cytidine 5’-monophosphate (CMP) nucleotide and copper metal ions for the preparation of a rare nanoporous supramolecular metal-organic framework in water. π···π stacking interactions involving the aromatic groups of the ancillary 2,2’-bipyridine (bipy) ligands drive the self-assemblies of hexameric pseudo-amphiphilic [Cu6(bipy)6(CMP)2(µ-O)Br4]2+ units. Owing to the supramolecular geometric matching between the aromatic tails, a nanoporous crystalline phase with hydrophobic and hydrophilic chiral pores of 1.2 and 0.8 nanometers, respectively, was successfully synthesized. The encoded chiral information, contained on the enantiopure building blocks, is transferred to the final supramolecular structure, assembled in the very unusual topology 8T6. These kinds of materials, owing to chiral channels with chiral active sites from ribose moieties, where the enantioselective recognition can occur, are, in principle, good candidates to carry out efficient separation of enantiomers, better than traditional inorganic and organic porous materials.

A LEAST SQUARE ALGORITHM FOR GEOMETRIC MATCHING OF REMOTE SENSED IMAGES

The aim of geometric matching is to extract the geometric transformation parameters between the corresponding images. That is useful for photogrammetric mapping, deformation detection, and flying platform's posture analyses, etc. It is different compare with ordinary feature based image matching succeed by selecting feature points correctly, the proposed method takes all the pixels within the corresponding images to participate the matching procedure for calculating the geometric parameters by least square criterion. The principle of the algorithm, such as the gray corresponding equation, the information quantity inequation and procedure of least square solution are introduced in detail. Particularly, the wavelet analyses for gray signal and calculating the information quantity by signal to noise ratio. Finally, a series of sequential images obtained by a low-altitude helicopter equipped with a video camera was used to test and verify the validity and reliability of the theory and algorithm in this paper. Two typical results are got according to the relative orientation elements model and parallax grid model. The conclusion is got in comparing APM with ordinary feature point method by the information quantity inequation.

Redistribution of ground subtracks for aircraft noise calculations

For aircraft noise calculations, lateral flight dispersion is commonly represented by means of subtracks – a backbone track and side-tracks to each side of the backbone track – where each subtrack is assigned a movement percentage. Aircraft noise calculations impose quality demands on these subtracks, while the latter are often created based on limited information.This paper presents a method to increase flexibility when designing subtracks. The method allows to redistribute subtracks geometrically, allowing for the design of simplified track representations, for instance through a lower number of subtracks and very basic indications of movement allocations. The method is based on the geometric matching of the initial subtracks and on the estimation of the lateral movement distributions for both input and final output subtracks. No restrictions on the number of sub-tracks or on the shape of the distributions are needed, neither for the input nor for the output. A number of examples of the redistribution and its effect on aircraft noise calculations are discussed.

Anomaly Detector for Manufacturing Industries using Lab View

In assembling enterprises the extra parts can arrive in a wide scope of various sizes and shapes, yet the essential creation process is large and continues with its different stages. It begins by manufacturing steel wire into the correct shape, trailed by warmth treatment to enhance the quality and surface treatment to enhance strength, before the packaging procedure. Splits or anomaly on the extra parts like bolts are one of the serious issues in the assembling enterprises which lead to parcel of issues when utilized in any machine. By manual investigation it is hard to discover the breaks. As a solution for this problem we have designed, anomaly detector for manufacturing industries using LabVIEW to detect the defected bolts which may cause serious issues in running machines like electromagnetic interference and unnecessary vibrations. In this proposed system, the shapes are detected using geometric matching and the defects are identified by varying the threshold levels. Also, the colour matching is used to find the erosion. The proposed system. The image is converted into gray scale to compare with template image using color plane extraction and the defects are identified comparing the two images i.e., the template and the acquired image using match pattern where the patterns are matched for both the images. The image is taken in real time and compared with template image using web cam and my Rio.

Construction of Ground Subtracks for Aircraft Noise Calculations Using an Estimate of Lateral Flight Dispersion

In the absence of position data such as radar data, aircraft noise calculations usually rely on the definition of flight geometries in terms of flight track and flight profile data. Typically, the ground track is constructed as a backbone track with a number of subtracks accounting for the lateral flight dispersion. Depending on the nature of the tracks, for instance when considering diverging tracks compared to very narrow tracks, the number of subtracks needs to be such that smooth noise contours and footprints are computed, putting a requirement on the minimum number of subtracks needed. In practice however, as the tracks need to be digitized by expert hand, the number of available subtracks is often limited. Furthermore, the location of the subtracks is often unknown, requiring corridor boundaries to be estimated and to be translated into subtrack locations.<br/> This paper presents a method for the construction of the required number of subtracks based on an estimate of lateral flight dispersion. Two cases are envisioned: the first being an estimate of the lateral flight dispersion using a set of three pre-existing subtracks (one backbone track and left/right subtracks), the second being an estimate using a backbone track and corridor boundaries. The method uses geometric matching of the original tracks, followed by an estimation of the local lateral track dispersion. The lateral distribution function is then used for the construction of new subtracks. A series of aircraft noise calculations using diff erent numbers of subtracks are shown, showcasing the influence of the number of subtracks on the noise contours, depending on the nature of the tracks (e.g.situations with tight turns).