Feature Match for Medical Images

This paper represents an algorithm for Feature Match, a summed up estimated approximate nearest neighbor field (ANNF) calculation system, between a source and target image. The proposed calculation can estimate ANNF maps between any image sets, not as a matter of course related. This generalization is accomplished through proper spatial-range changes. To register ANNF maps, worldwide shading adjustment is connected as a reach change on the source picture. Image patches from the pair of pictures are approximated utilizing low-dimensional elements, which are utilized alongside KD-tree to appraise the ANNF map. This ANNF guide is further enhanced in view of picture coherency and spatial changes. The proposed generalization, empowers to handle a more extensive scope of vision applications, which have not been handled utilizing the ANNF structure. Here one such application is outlined namely: optic plate discovery .This application manages restorative imaging, where optic circles are found in retinal pictures utilizing a sound optic circle picture as regular target picture. ANNF mappings is used in this application and is shown experimentally that the proposed approaches are faster and accurate, compared with the state-of the-art techniques

Cage-like MnO2-Mn2O3 hollow spheres with high specific capacitance and high rate capability as supercapacitor material

This study presents the preparation of novel cage-like MnO2-Mn2O3 particles that have high surface area and macro-porosity. Carbonaceous (C) spheres were first prepared hydrothermally as templates for a subsequent hydrothermal step of MnO2 shell precipitation. Adjusting the Mn precursor concentration and hydrothermal dwell time resulted in MnO2 shells of different thickness. Following calcination to remove carbon, thinner shells resulted in cage-like structure and a higher degree of Mn2O3 content, while thicker shells produced complete hollow spheres. The cage-like MnO2-Mn2O3 hollow spheres (CMHS) produced a 30% larger specific capacity than that of complete hollow spheres at 0.05 A g−1. On a 100 fold current density increase to 5 A g−1 CMHS had a 49.9% of its initial specific capacitance, and had 77.4% capacitance retention after 2000 cycles at 2 A g−1. Cage-like particles, through their high surface area and macro-porosity, thus afford a promising target structure for supercapacitor materials, and can be prepared as described herein

A New Texture Synthesis Algorithm Based on Wavelet Packet Tree

This paper presents an efficient texture synthesis based on wavelet packet tree (TSWPT). It has the advantage of using a multiresolution representation with a greater diversity of bases functions for the nonlinear time series applications such as fractal images. The input image is decomposed into wavelet packet coefficients, which are rearranged and organized to form hierarchical trees called wavelet packet trees. A 2-step matching, that is, coarse matching based on low-frequency wavelet packet coefficients followed by fine matching based on middle-high-frequency wavelet packet coefficients, is proposed for texture synthesis. Experimental results show that the TSWPT algorithm is preferable, especially in terms of computation time

Optimized synthesis of art patterns and layered textures

published_or_final_versio

Identity ambiguity and the promises and practices of hybrid e-HRM project teams

The role of IS project team identity work in the enactment of day-to-day relationships with their internal clients is under-researched. We address this gap by examining the identity work undertaken by an electronic human resource management (e-HRM) 'hybrid' project team engaged in an enterprise-wide IS implementation for their multi-national organisation. Utilising social identity theory, we identify three distinctive, interrelated dimensions of project team identity work (project team management, team 'value propositions' (promises) and the team's 'knowledge practice'). We reveal how dissonance between two perspectives of e-HRM project identity work (clients' expected norms of project team's service and project team's expected norms of themselves) results in identity ambiguity. Our research contributions are to identity studies in the IS project management, HR and hybrid literatures and to managerial practice by challenging the assumption that hybrid experts are the panacea for problems associated with IS projects

A mechanochemical synthesis of submicron-sized Li2S and a mesoporous Li2S/C hybrid for high performance lithium/sulfur battery cathodes

Lithium sulfide, Li2S, is a promising cathode material for lithium–sulfur batteries (LSBs), with a high theoretical capacity of 1166 mA h g−1. However, it suffers from low cycling stability, low-rate capability and high initial activation potential. In addition, commercially available Li2S is of high cost and of large size, over ten microns, which further exacerbate its shortcomings as a sulfur cathode. Exploring new approaches to fabricate small-sized Li2S of low cost and to achieve Li2S cathodes of high electrochemical performance is highly desired. This work reports a novel mechanochemical method for synthesizing Li2S of high purity and submicron size by ball-milling LiH with sulfur in an Ar atmosphere at room temperature. By further milling the as-synthesized Li2S with polyacrylonitrile (PAN) followed by carbonization of PAN at 1000 °C, a Li2S/C hybrid with nano-sized Li2S embedded in a mesoporous carbon matrix is achieved. The hybrid with Li2S as high as 74 wt% shows a high initial capacity of 971 mA h g−1 at 0.1C and retains a capacity of 570 mA h g−1 after 200 cycles as a cathode material for LSBs. A capacity of 610 mA h g−1 is obtained at 1C. The synthesis method of Li2S is facile, environmentally benign, and of high output and low cost. The present work opens a new route for the scalable fabrication of submicron-sized Li2S and for the development of high performance Li2S-based cathodes

Transfer of albedo and local depth variation to photo-textures

Acquisition of displacement and albedo maps for full building façades is a difficult problem and traditionally achieved through a labor intensive artistic process. In this paper, we present a material appearance transfer method, Transfer by Analogy, designed to infer surface detail and diffuse reflectance for textured surfaces like the present in building façades. We begin by acquiring small exemplars (displacement and albedo maps), in accessible areas, where capture conditions can be controlled. We then transfer these properties to a complete phototexture constructed from reference images and captured under diffuse daylight illumination. Our approach allows super-resolution inference of albedo and displacement from information in the photo-texture. When transferring appearance from multiple exemplars to façades containing multiple materials, our approach also sidesteps the need for segmentation. We show how we use these methods to create relightable models with a high degree of texture detail, reproducing the visually rich self-shadowing effects that would normally be difficult to capture using just simple consumer equipment. Copyright © 2012 by the Association for Computing Machinery, Inc

Chiral Nanoceramics

The study of different chiral inorganic nanomaterials has been experiencing rapid growth during the past decade, with its primary focus on metals and semiconductors. Ceramic materials can substantially expand the range of mechanical, optical, chemical, electrical, magnetic, and biological properties of chiral nanostructures, further stimulating theoretical, synthetic, and applied research in this area. An ever‐expanding toolbox of nanoscale engineering and self‐organization provides a chirality‐based methodology for engineering of hierarchically organized ceramic materials. However, fundamental discoveries and technological translations of chiral nanoceramics have received substantially smaller attention than counterparts from metals and semiconductors. Findings in this research area are scattered over a variety of sources and subfields. Here, the diversity of chemistries, geometries, and properties found in chiral ceramic nanostructures are summarized. They represent a compelling materials platform for realization of chirality transfer through multiple scales that can result in new forms of ceramic materials. Multiscale chiral geometries and the structural versatility of nanoceramics are complemented by their high chiroptical activity, enantioselectivity, catalytic activity, and biocompatibility. Future development in this field is likely to encompass chiral synthesis, biomedical applications, and optical/electronic devices. The implementation of computationally designed chiral nanoceramics for biomimetic catalysts and quantum information devices may also be expected.Chiral nanoceramics are emerging as a remarkably active area of chiral research. It is still in its infant stage and is thus full of challenges and opportunities. Recent advances in the diversity of chemistries, geometries, and properties of chiral ceramic nanostructures are reviewed. An outlook of synthesis, computational methods, and emerging applications of chiral nanoceramics is presented.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163453/2/adma201906738_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/163453/1/adma201906738.pd