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International Conference on Surface Finishing Technology and Surface Engineering

作者： Zhang, Feihu Yu, Xingbin Zhang, Yong Harbin Inst Technol Sch Mech & Elect Engn Harbin 150001 Peoples R China

ISBN: (纸本)9780878492336

Ultrasonic-magnetorheological combined (UMC) finishing is a new technique for the ultra precision machining of aspheric surfaces, especially for high quality workpieces with small-radius concave surfaces or freeform surfaces. The characteristic of UMC finishing is discussed, and an experimental equipment for UMC finishing with 5 axes is developed. According to requirements of deterministic removal in UMC finishing and the experimental equipment, post processing algorithm for aspheric surfaces is researched. The derivation process and computer simulation result of the algorithm is presented. The error analysis is conducted and the error control method is also proposed. A series of experiments have been conducted, and experimental results show that high quality surfaces can be achieved by the post processing algorithm.

关键词： Ultrasonic-magnetorheological combined finishing Experimental equipment for UMC finishing post processing algorithm Error analysis

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Low Dose Brain CT, Comparative Study with Brain post processing algorithm 19

Low Dose Brain CT, Comparative Study with Brain Post Process...

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Proceedings of the 2019 2nd International Conference on Digital Medicine and Image processing

作者： Hamza Arjah Mohammad Hjouj Fawaz Hjouj Al-Quds University Jerusalem Khalifa University United Arab Emirates

ISBN: (纸本)9781450376983

Computed tomography (CT) scanners and CT exams increase continuously. The researchers aim to minimize the ionizing radiation dose by introducing new CT protocols, providing diagnostic CT images with a lower radiation dose to patients. However, such studies encounter difficulties, when the radiation dose is lowered, the quality of images becomes less and sometimes not diagnostic. In this study, the researcher aims to provide a low dose brain CT protocol, in order to then determine if the images match the quality criteria of Brain CT; and determine the diagnostic appearance of the images. Then, the researcher will compare the results obtained from the Brain CT, as well as the brain post-processing algorithm to determine which one provides a better diagnostic image, and a better match for the quality criteria of Brain CT, by the Numerical criterion (1: weak, 2: moderate, 3:perfect) which is used by expert medical imaging technologists, On a sample of 35 patients; the first brain CT was conducted by 22 milli-gray (mGy) volume computed tomography dose index (CTDIvol); the resulting image was noisy, with a poor match for quality criteria, then CTDIvol was raised to 25 mGy, then to 30 mGy, and finally to 33.8 mGy. At this point, the image was acceptable to complete the study. Four radiologists have been engaged to determine if the image provides diagnostic appearance, then six expert medical imaging technologists were involved to determine the quality criteria. These steps were followed for the Brain CT before and after applying the post-processing algorithm. Then the results were compared with the reference study of brain CT. The results for low dose brain CT were diagnostic and matching the quality criteria for brain CT. After applying the brain post-processing algorithm the image's diagnostic appearance was disturbed, the suggested protocol by the study provided a 47% dose reduction, from the standard protocol which uses 63 mGy. The problem of signal reduction is solved

关键词： post processing algorithm Low dose CT Brain CT

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Tablet identification using support vector machine based text recognition and error correction by enhanced n-grams algorithm

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IET IMAGE processing 2020年第7期14卷 1366-1372页

作者： Dhivya, A. B. Sundaresan, M. Bharathiar Univ Dept Informat Technol Coimbatore Tamil Nadu India

Unidentified and/or misidentified tablets always present challenges to both patients and health care professionals alike. Consumption of these misidentified tablets often results in adverse drug reaction and sometimes may even cause ill health leading to death. Thus, identification of unknown tablets is an important task in the medical industry. This study proposes an algorithm that uses the text imprinted on the tablet images to identify unknown images. Text imprinted on pills often contains important information that can be used to identify tablets. In this study, multiple feature sets were extracted from tablet images. The proposed work first identifies the text region, from which the text is recognised using support vector machine classifier. A post processing algorithm based on the confusion model combined with n-grams is used to correct the substitution, insertion and deletion errors in the text recognised. Finally, the corrected text is matched with a template tablet database to identify similar tablets. Experimental results showed that the proposed system is efficient with respect to accuracy and can be safely used by both common public and health care professionals to identify tablets.

关键词： support vector machines health care drugs text analysis feature extraction tablet identification support vector machine based text recognition error correction grams algorithm health care professionals misidentified tablets adverse drug reaction ill health unknown tablets tablet images unknown images multiple feature sets text region support vector machine classifier post processing algorithm deletion errors corrected text template tablet database similar tablets common public

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Fabrication of Broadband MEMS Antennas and Application to Target Detection

Fabrication of Broadband MEMS Antennas and Application to Ta...

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2010 IEEE International Symposium Antennas and Propagation/CNC-USNC/URSI Radio Science Meeting

作者： Hutchings, Douglas A. El-Shenawee, Magda Univ Arkansas Microelect Photon Program Fayetteville AR 72701 USA Univ Arkansas Dept Elect Engn Fayetteville AR 72701 USA

ISBN: (纸本)9781424449682

This work details the fabrication processes for a broadband antenna on a MEMS steerable platform. The platform is capable of rotation around two independent axes through the use of four silicon torsion hinges. The device is fabricated using traditional bulk micromachining techniques. Silicon is used as the substrate material due to its well understood processing characteristics. The antenna is modified from the Fourpoint antenna and operates between 10-16 GHz. The device is characterized using an HP 8510C Vector Network Analyzer and is used for target detection in a custom built anechoic chamber. An artificial neural network post processing algorithm is implemented on the measured data for the detection of metal, glass and wood spheres with a diameter of 3/8"".

关键词： HP 85IOC Si anechoic chamber anechoic chambers (electromagnetic) artificial neural network broadband MEMS antenna fabrication broadband antennas electrical engineering computing elemental semiconductors fourpoint antenna frequency 10 GHz to 16 GHz micromachining micromachining micromechanical devices microwave antennas network analysers neural nets object detection post processing algorithm silicon silicon torsion hinge substrate material target detection vector network analyzer

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A robust quantum private query based on six-qubit with decoherence

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OPTIK 2022年 253卷 168507-168507页

作者： Wang, Hai-Peng Zhou, Ri-Gui Shanghai Maritime Univ Coll Informat Engn Shanghai Peoples R China

In order to deal with the error of oblivious key distribution caused by quantum channel noise, a new quantum privacy query (QPQ) protocol with six-qubit with decoherence is proposed. When the error rate caused by quantum channel noise is less than 30%, the final key bit error rate of this protocol is better than that of other QPQ protocols using the same post-processing algorithm. Furthermore, the protocol is also a cheat-sensitive protocol, in which dishonesty of either party can be detected.

关键词： Quantum private query Six-qubit with decoherence Collective noise post processing algorithm

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