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Multi fractal features along with empirical wavelet transform for detecting glaucoma

AIP Conference Proceedings 2022年第1期2483卷

作者： Hussam Y. Abdulwahed Arkan Jassim Mohammed 1Computer Engineering Techniques College of Information TechnologyImam Ja’afar Al-Sadiq University Iraq 2Department of Mathematics College of Science-Al-Mustansiriah University Iraq

The main objective of this paper is to look further into the prospect of retinal image analysis aiming for the detection and tracing of glaucoma. The computer-based component analysis entails the use of image processing techniques in order to pre-process, identify and segment the region of interest, feature extraction as well as classification from the data-set images. The structural deformation of the optic disc and cup parts, one of the primary signs of glaucoma, necessitates high specificity in the segmentation procedure. As a solution to this issue, multi-fractal features as a non-morphological aspect are obtained in the proposed method from the enhanced optic disc area. Furthermore, the extracted image is decomposed using the Empirical Wavelet Transform to acquire different bands sub images. Subsequently, multifractal features where extracted. The resultant features are classified using a variety of classifiers. Among (Least Squares Support Vector Machine, Naive Bayes, Logistic Regression classifiers) Least Square Support Vector Machine outperforms all classifiers in terms of output. The proposed method has been investigated using different data-sets which includes regular and glaucoma images. Using Least Squares Support Vector, this proposed approach achieves a sensitivity of 86.71 percent in classifying glaucoma images and total accuracy of 89.94 percent.

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Social-economic assessment of valorization of faecal sludge into value-added products: Case study of selected products in Johannesburg metropolis

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AIP Conference Proceedings 2022年第1期2437卷

作者： A. Coleman O. O. Sadare M. Aklin M. O. Daramola 2Global Studies Dietrich School of Arts and Sciences. The University of Pittsburgh 4200 Fifth Ave Pittsburgh PA 15260 United States 1Department of Chemical Engineering Faculty of Engineering Built Environment and Information Technology University of the Pretoria Hatfield Pretoria 0028 South Africa

Faecal valorization is one of the viable solutions to the issue of inadequate sanitation because it encourages investment in sanitation systems. Despite the demonstration of production of value-added products from faecal sludge, information of socio-economic assessment of these products which could pave the way for their commercialization is very scarce. In this study, socio-economic assessment of some selected value-added products such as; crops treated with fertilizer derived from human waste, meat from animals fed with feed derived from human waste, energy from the combustion of products derived from human waste (biogas) was evaluated within Johannesburg metropolis (Wits University and its environs). Estimates developed from a quantitative review of existing literature demonstrated high potential revenues for products from faecal valorization and associated end products. The estimates were developed through examining current prices and consumption patterns in South Africa. Questionnaires were distributed at the University of Witwatersrand and its environs, posing as a case study of Johannesburg, in order to determine consumer interest in end products and the effect of different incentives on interest level. Statistical analysis was used to analyze the collected data due to sample size and controlling for factors such as age, sex and education level, the study mitigated sample bias. The analysis was conducted using repeated measure AN0VA testing and Tukey HSD testing. The interest level of the end product of faecal sludge was quantified using a 5- point Likert scale while a regression model was generated to understand which among the variables explored in this study were significant in predicting the participant's interest level. Analysis of the results reveals that there is demonstrated interest in products from valorized faecal sludge with 5I% of participants willing to consume crops fertilized with faecal sludge, and 43% of participants willing to consume meat

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Cost-reliability driven analysis to evaluate performance of a distributed system

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AIP Conference Proceedings 2022年第1期2481卷

作者： Sagar Gulati Neeraj Dhiman Neha Arora Parul Chutani Anand Chauhan 1Department of Computer Science College of Engineering Roorkee India 5Department of Mathematics Graphic Era deemed to be University Dehradun India 2Department of Mathematics Graphic Era Hill University Dehradun India 3School of Computing University of Engineering and Technology Roorkee Uttarakhand India 4EEE Department Technology Education and Research Institute Kurukshetra India

The self-standing computers embodies a distributed system, intertwined by a concatenated web associate degreed endowing the software of districuted system. The hardware fragment of distributed system with remodelling the size of some workstations integrated by one native space network with bazillions of computers twinned with multifold wide area networks. The potential of distributed system is unveiled which supports the trade-off of reliability and cost buttoned up with comprehensive search mechanisms. The diversified attributes like the reliability of execution and reliability, price of execution and communication are the principal components and portrayed in matrices, explicitely the CRM(,), ERM(,), CCM(,), electronic welfare(,). Reorientation and conversion of these matrices is consistant with the conjucted tasks. Every task fusion evaluates the reliability of the distributed computer contiguous with the execution cost as well as the communication cost. The optimum indisputable response of distributed computing system is bagged when the reliability aspect is modulated for all the blends of tasks. A live of elongated performance is achieved finally beyond shadow of doubt.

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Automatic Acquiring of Chinese Semantic Relations Based on Knowledge Corpus

Automatic Acquiring of Chinese Semantic Relations Based on K...

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

作者： Li, Liang Fang, Tian Ren, Fuji Department of Computer Technology and Applications Qinghai University Xining China Qinghai University Information Technology Center of Qinghai University Xining China Faculty of Engineering University of Tokushima 2-1 Minamijosanjima Tokushima770-8506 Japan

ISBN: (纸本)9781538655139

Semantic relations play an important role in natural semantic understanding. The sentiment Semantic Dictionary is the basis of sentiment analysis research. This paper uses Modern Chinese Dictionary and baidu interpretation from the Internet as the knowledge corpus. By analyzing the knowledge structure of the corpus, we define different rules to automatically extract the semantic relationship of emotional words. The concept of fine - grained division of emotional intensity and semantic similarity is introduced. The emotional similarity is divided into four levels based on different rules. The dictionary of negative words and degree adverbs are constructed and the degree of adverbs is divided into different levels. The degree of adverbs and negative words in front of the emotional words are used to determine the strength of the emotional words. The method of random selection and manual verification is used for evaluation. The accuracy of synonymous relationship is over 90%, and the availability is high. There is almost no error in the emotional strength relationship, but due to rule restrictions, there are few words that extract intensity levels. © 2018 IEEE.

关键词： Sentiment analysis

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Efficient spectrum sharing using femtocells for wireless networks

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AIP Conference Proceedings 2022年第1期2405卷

作者： Nami Susan Kurian Julie Joan N. S. Kathu Sara Renji Vaijayanthimala J. K. 1Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chennai Tamil Nadu 600124 India 2Department of Computer Science Engineering Anna University Chennai Tamil Nadu 600025 India 3Department of Biomedical Engineering VSB Engineering College Karur Tamil Nadu 639111 India 4Department of Electrical and Electronics Engineering AMET University Kanathur Tamil Nadu 603112 India

Cellular phones face issues of low signal power and reduced call quality when intended to use in the interior environment. Though the traditional method of using distributed antenna systems, somehow overcomes this issue but has many limitations too. As a result, this paper suggested a model that address the shortcomings of the previously described method by implementing a wireless framework to curb the reduced signal quality in indoor communication. In the proposed protocol, we have designed a compact, low-power cellular base station called Femtocells, which helps service providers or base stations to extend indoor service coverage and provide better signal quality. This can be used in both residential and enterprise areas. These cellular access points provide communication between the local Femtocells are essentially a form of the cellular access point that provides communication between the mobile phones and internet. The algorithm used behind this is AODV Routing Protocol and it operates in two different phases: Route Discovery and Route maintenance mechanism. The primary task of femtocells is to allocate the vacant spectrum to its users from the main base station by using the cognitive radio technology. Thus, the users can communicate efficiently without any drop calls even when the signal strength is very less as femtocells effectively extend the cell coverage and capacity. When compared to Distributed Antenna System, the proposed technique is completely wireless, low cost and guarantees signal strength to a greater extend.

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Fabrication of ZnO – Carbonized cotton yarn derived hierarchical porous active carbon flexible electrodes

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AIP Conference Proceedings 2021年第1期2387卷

作者： Senthil Kumar Kandasamy Chandrasekaran Arumugam Logupriya Vadivel Saravanakumar Kandasamy Deepa Karuppaiah 1Department of Electronics and Communication Engineering Kongu Engineering College Erode-638060 Tamil Nadu India 2School of Information Technology Vellore Institute of Technology Vellore-632014 Tamil Nadu India

This work mainly focuses on the development of a novel type of chemically activated electrodes from the cotton yarn by carbonization and chemical activation. Chemical activation is employed in order to obtain high specific capacitance, energy and power density. The zinc oxide was prepared by the sol – gel method and the pH should be in the range of 9 and 11. ZnO/CCY electrode is prepared and it was stirred with a magnetic stirrer. The performance of the electrode is evaluated using aqueous electrolyte at various current densities and scan rate. The sample which was prepared electrochemically characterized using CV, GCD and EIS. This paper reports the development of highly flexible, less weight, and electrically conductive ZnO/CCY electrode with an electrochemical specific capacitance of 10.06 F g−1 at 150 mV s−1. The ZnO powders were evenly developed over the carbonized cotton yarn. The porous nanostructure presented in ZnO powder presented enough potential electro-active sites. Additionally, it offered the good electrolyte adsorption. The well-developed ZnO/CCY fiber electrode showed enhanced electrochemical performance and stability from the analysis of CV, GCD and EIS. From the results, the fabricated flexible ZnO/CCY electrode can provide impending applications in the development of cable-type devices and next generation electrochemical supercapacitors.

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A survey on blockchain for big data: Approaches, opportunities, and future directions

arXiv

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arXiv 2020年

作者： Deepa, Natarajan Pham, Quoc-Viet Nguyen, Dinh C. Bhattacharya, Sweta Prabadevi, B. Gadekallu, Thippa Reddy Maddikunta, Praveen Kumar Reddy Fang, Fang Pathirana, Pubudu N. The School of Information Technology and Engineering Vellore Institute of Technology Vellore632014 India The Research Institute of Computer Information and Communication Pusan National University Busan46241 Korea Republic of School of Engineering Deakin University Waurn Ponds Australia Department of Engineering Durham University DurhamDH1 3LE United Kingdom

Big data has generated strong interest in various scientific and engineering domains over the last few years. Despite many advantages and applications, there are many challenges in big data to be tackled for better quality of service, e.g., big data analytics, big data management, and big data privacy and security. Blockchain with its decentralization and security nature has the great potential to improve big data services and applications. In this article, we provide a comprehensive survey on blockchain for big data, focusing on up-to-date approaches, opportunities, and future directions. First, we present a brief overview of blockchain and big data as well as the motivation behind their integration. Next, we survey various blockchain services for big data, including blockchain for secure big data acquisition, data storage, data analytics, and data privacy preservation. Then, we review the state-of-the-art studies on the use of blockchain for big data applications in different vertical domains such as smart city, smart healthcare, smart transportation, and smart grid. For a better understanding, some representative blockchain-big data projects are also presented and analyzed. Finally, challenges and future directions are discussed to further drive research in this promising area. Copyright © 2020, The Authors. All rights reserved.

关键词： Blockchain

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An application of the frequency-based matrix converter used in a wind energy conversion system using a synchronous generator with synchronous variable-speed, pulse width modulation technique

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AIP Conference Proceedings 2022年第1期2519卷

作者： V. Senthil Nayagam E. Fantin Irudaya Raj A. Sasireka M. Kumarasamy S. K. Dinesh Kumar Ram Subbiah G. Pavithra 1Department of Electrical and Electronics Engineering College Sathyabama Institute of Science and Technology Tamilnadu India 2Department of Electrical and Electronics Engineering Dr. Sivanthi Aditanar College of Engineering Tamilnadu India 3Department of Mathematics PSNA College of Engineering and Technology Dindigul Tamilnadu India 4Department of Computer Science College of Engineering and Technology Wollega University Nekemte Ethopia 5Department of Mechanical Engineering Sri Sairam Engineering Chennai Tamilnadu India 6Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India 7Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering (DSCE) Bangalore India

An alternative source is growing in popularity with increasing global energy use and perceivable environmental degradation everywhere in the universe. The growth of wind farms necessitates system stability analysis, which incorporates dynamical distributed generation models. Doubly fed induction machines are widely used in the context of turbines of power higher than 1MW. However, direct-drive wind turbines that use synchronous generator principles have gained significant market penetration. This investigation implements a synchronous generator model using a frequency-based matrix converter with the assistance of an SVPWM method, which measures stator as grid voltage/current and analyses total THD. Converting the fluctuating voltages to something like a stable value using a frequency-based method is done with a matrix converter.

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User-configurable decision support system for clinical risk management 11th

User-configurable decision support system for clinical risk ...

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2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: Eleventh Annual Meeting of the BICA Society, BICA*AI 2020

作者： Kleymenova, Elena Dronov, Mikhail Yashina, Liubov Matrosova, Elena Payushchik, Svetlana Nigmatkulova, Maria Otdelenov, Vitaly General Medical Center of the Bank of Russia Sevastopolsky pr.66 Moscow117593 Russia National Research Nuclear University MEPhI Moscow Engineering Physics Institute Kashirskoe shosse 31 Moscow115409 Russia Faculty of Physics M.V. Lomonosov Moscow State University Leninskie Gory GSP-1 Moscow119991 Russia Information Technology Department Moscow City University Vtoroy Selskohoziajstvenny proezd 4 Moscow129226 Russia Federal Research Center Computer Science and Control Russian Academy of Sciences Vavilova str. 44 Moscow119333 Russia Russian Medical Academy of Continuous Professional Education Barrikadnaya st. 2/1 Moscow125993 Russia

The paper describes an application of relational structure-independent database for the design of user-configurable information system aimed at the intellectual support of clinical risk management in a hospital. The system represents a clinical decision support system (CDSS) and includes three modules: prevention of hospital-acquired adverse events (HA-AE), HA-AE prevention processes and audit of HA-AE cases. Thanks to flexible system configuration and graphic user interface, the clinical experts are able to compose complex knowledge artifacts directly working with the system, without engagement of knowledge engineers for supporting knowledge formalization or highly skilled professionals to ensure the physical layer performance. The successful practical approval of CDSS in a medical facility opens up prospects for a new level of cognitive support for diagnostic and treatment processes, patient safety improvement and healthcare costs reduction. © 2020 Elsevier B.V.. All rights reserved.

关键词： Decision support systems

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Data Needs and Challenges for Quantum Dot Devices Automation

arXiv

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arXiv 2023年

作者： Zwolak, Justyna P. Taylor, Jacob M. Andrews, Reed Benson, Jared Bryant, Garnett Buterakos, Donovan Chatterjee, Anasua Sarma, Sankar Das Eriksson, Mark A. Greplová, Eliška Gullans, Michael J. Hader, Fabian Kovach, Tyler J. Mundada, Pranav S. Ramsey, Mick Rasmussen, Torbjoern Severin, Brandon Sigillito, Anthony Undseth, Brennan Weber, Brian National Institute of Standards and Technology GaithersburgMD20899 United States Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States Department of Physics University of Maryland College ParkMD20742 United States Joint Quantum Institute National Institute of Standards and Technology University of Maryland GaithersburgMD20899 United States HRL Laboratories LLC 3011 Malibu Canyon Road MalibuCA90265 United States Department of Physics University of Wisconsin-Madison MadisonWI53706 United States Center for Quantum Devices Niels Bohr Institute University of Copenhagen Copenhagen2100 Denmark Condensed Matter Theory Center University of Maryland College ParkMD20742 United States Kavli Institute of Nanoscience Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands Central Institute of Engineering Electronics and Analytics ZEA-2 - Electronic Systems Forschungszentrum Jülich GmbH Jülich52425 Germany Q-CTRL Santa MonicaCA90401 United States Intel Components Research Intel Corporation HillsboroOR97124 United States Department of Materials University of Oxford Parks Road OxfordOX1 3PH United Kingdom School of Electrical Engineering and Telecommunications The University of New South Wales SydneyNSW2052 Australia Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States QuTech Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands Intelligent Geometries LLC Lake Frederick VA22630 United States

Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, presentday quantum dot devices suffer from imperfections that must be accounted for, which hinders the characterization, tuning, and operation process. Moreover, with an increasing number of quantum dot qubits, the relevant parameter space grows sufficiently to make heuristic control infeasible. Thus, it is imperative that reliable and scalable autonomous tuning approaches are developed. This meeting report outlines current challenges in automating quantum dot device tuning and operation with a particular focus on datasets, benchmarking, and standardization. We also present insights and ideas put forward by the quantum dot community on how to overcome them. We aim to provide guidance and inspiration to researchers invested in automation efforts. Copyright © 2023, The Authors. All rights reserved.

关键词： Nanocrystals

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