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Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

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Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh R. Taylor Tabassom Sedighi Rupert R. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge Resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. Del Monte Joshua R. Ehrlich Leon B. Ellwein David Friedman João M. Furtado Gus Gazzard Ronnie George M. Elizabeth Hartnett Jost B. Jonas Rim Kahloun Moncef Khairallah Rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep Ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen Dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie D. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun Richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi Rodrigo Anguita Abhishek Anil Rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat Damelash Areda Reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat Derese Devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

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A study on key technologies of unmanned driving

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CAAI Transactions on Intelligence Technology 2016年第1期1卷 4-13页

作者： Xinyu Zhang Hongbo Gao Mu Guo Guopeng Li Yuchao Liu Deyi Li Department of Computer Science and Technology Tsinghua University Beijing 100084 China Information Technology Center Tsinghua University Beijing 100084 China State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China The Institute of Electronic System Engineering Beijing 100039 China

Although the development of machine intelligence is far from simulating all the cognitive competence of our brains, still it is absolutely possible to peel the driving activity from people＇s cognitive activities and then make the machine finish some low-level, complicated and lasting driving cognition by simulating our brains. The goal of driving is to replace drivers and free them from boring driving activities. Based on some studies on unmanned driving, this paper summarizes and analyzes the background, significance, research status and key technology of unmanned driving and the research group also introduces some research on brain cognition of driving and sensor placement of intelligent vehicles, which offers more meaningful reference to push the study of unmanned driving.

关键词： Unmanned driving Brain cognition of driving Sensor placement Formalization of brain cognition

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A CMOS chaotic jerk oscillator with smoothly balanced-to-unbalanced transition of double-scroll attractors 3

A CMOS chaotic jerk oscillator with smoothly balanced-to-unb...

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3rd Management and Innovation Technology International Conference, MITiCON 2016

作者： Ketthong, P. Wannaboon, C. San-Um, W. Srisuchinwong, B. Masayoshi, T. Intelligent Electronics System Research Laboratory Thai-Nichi Institute of Technology 1771/1 Pattanakarn Rd Suan Luang Bangkok10250 Thailand Department of Electronic and Photonic Engineering School of Systems Engineering Kochi University of Technology Tosayamada Kami-city782-8502 Japan School of Information Computer and Communication Technology Sirindhorn International Institute of Technology Thammasat University P.O. Box 22 Pathum Thani12121 Thailand

ISBN: (纸本)9781509041053

A CMOS chaotic jerk oscillator is presented based on inherently hyperbolic tangent nonlinearity. The circuit comprises three Gm-C integrators, a current mirror and a differential Operational Transconductance Amplifier (OTA). The OTA provides inherently hyperbolic tangent nonlinearity for chaos. A balanced double-scroll strange attractor is capable of continuously smooth transition to an unbalanced double-scroll and, finally, to either a right-half or a left-half single-scroll attractor. Such transition is adjustable by varying a DC voltage. The circuit is implemented in a 0.18-μm CMOS technology with full-custom design. © 2016 IEEE.

关键词： Operational amplifiers

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PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection

PFrauDetector: A Parallelized Graph Mining Approach for Effi...

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International Conference on Parallel and Distributed systems (ICPADS)

作者： Josh Jia-Ching Ying Ji Zhang Che-Wei Huang Kuan-Ta Chen Vincent S. Tseng Department of Computer Science and Information Engineering Feng Chia University Taiwan ROC Faculty of Health University of Southern Queensland Australia Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China Department of Computer Science and Information Engineering National Cheng Kung University Taiwan ROC Institute of Information Science Academia Sinica Taiwan ROC Department of Computer Science National Chiao Tung University Taiwan ROC

ISBN: (纸本)9781509053827

In recent years, fraud is becoming more rampant internationally with the development of modern technology and global communication. Due to the rapid growth in the volume of call logs, the task of fraudulent phone call detection is confronted with Big Data issues in real-world implementations. While our previous work, FrauDetector, has addressed this problem and achieved some promising results, it can be further enhanced as it focuses on the fraud detection accuracy while the efficiency and scalability are not on the top priority. Meanwhile, other known approaches suffer from long training time and/or cannot accurately detect fraudulent phone calls in real time. In this paper, we propose a highly-efficient parallelized graph-mining-based fraudulent phone call detection framework, namely PFrauDetector, which is able to automatically label fraudulent phone numbers with a "fraud" tag, a crucial prerequisite for distinguishing fraudulent phone call numbers from the normal ones. PFrauDetector generates smaller, more manageable sub-networks from the original graph and performs a parallelized weighted HITS algorithm for significant speed acceleration in the graph learning module. It adopts a novel aggregation approach to generate the trust (or experience) value for each phone number (or user) based on their respective local values. We conduct a comprehensive experimental study based on a real dataset collected through an anti-fraud mobile application, Whoscall. The results demonstrate a significantly improved efficiency of our approach compared to FrauDetector and superior performance against other major classifier-based methods.

关键词： Communications technology Training Real-time systems Feature extraction computer science Training data Parallel processing

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Refactoring ontologies using design patterns and relational concepts analysis to integrate views: The case of tourism

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International Journal of Metadata, Semantics and Ontologies 2016年第4期11卷 243-263页

作者： Kasri, Soumaya Benchikha, Fouzia Department of Computer Science Faculty of Science University of 20 Août 1955 Skikda BP 26 Skikda21000 Algeria LIRE Laboratory Software Technologies and Information Systems Department Constantine 2 University Abdelhamid Mehri Route d'Ain-El Bey Constantine25000 Algeria

Ontology development and reuse constitute an important research area in Semantic Web. Ontology has been established for knowledge sharing and has been used to describe the semantics of web resources. The user of Semantic Web benefits from it to share and to exchange knowledge. Currently, one of the challenges of the Semantic Web approach is to improve the performance of its knowledge management in order to provide adequate and personalised information for users. The purpose here is to establish an ontology which supports views as an alternative version of a base ontology. Such ontology is the key to achieve the objective of allowing each user to build his own view according to his perception of the world/his needs and independently of other users. Unfortunately, the existing ontologies can hardly achieve this goal because they focus primarily on domain concepts. In this paper, an alternative approach through the integration of views in the tourism ontologies with refactoring process is proposed. This approach is based on ontology design pattern and relational concepts analysis. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Ontology

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Emerging pragmatic patterns in large-scale RDF data 2nd

Emerging pragmatic patterns in large-scale RDF data

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2nd International Conference on Cloud Computing and Big Data, CloudCom-Asia 2015

作者： Ge, Weiyi Hu, Wei He, Chenglong Zong, Shiqiang Science and Technology on Information Systems Engineering Laboratory Nanjing210007 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (纸本)9783319284293

With the development of the Linked Data, an increasing number of RDF data sets are published in many application domains. To understand the underlying meaning and characteristics of large RDF data, and to reuse popular domain terms when publishing data, capturing emerging pragmatic patterns is critical. In this paper, we propose the notion of term co-instantiation graph (TIG) and a method to build a TIG for a given RDF dataset. We also describe a clustering-based approach to distill a set of pragmatic patterns from a TIG, which reveal the pragmatic custom of highly-correlated terms. Through extensive experiments on a real big dataset containing 21 M RDF documents, we analyze the macroscopic structure of the term co-instantiation graph and pragmatic patterns from the complex network point of view, and demonstrate our approach can not only give an elaborated ontology partitioning from the pragmatic perspective to ease the ontology reuse, but also provide a new way to explore the Linked Data. © Springer International Publishing Switzerland 2015.

关键词： Linked data

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Novel Detection Service Method for Moving Object in IOT

Novel Detection Service Method for Moving Object in IOT

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2016 3rd International Conference on Materials engineering,Manufacturing Technology and Control(ICMEMTC 2016)

作者： Jie Chen Degan Zhang School of Electronic and Information Engineering Tianjin Vocational Institute Tianjin Key Lab of Intelligent Computing & Novel software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System (Tianjin University of Technology) Ministry of Education

In embedded Internet of Things(IOT) environment, there are the troubles such as complex background, illumination changes, shadows and other factors for detecting moving object, so we put forward a new detection service method through mixing Gaussian Mixture Model(GMM), edge detection service method and continuous frame difference method in this paper. In time domain, the new method uses GMM to model and updates the background. In spatial domain, it uses the hybrid detection service method which mixes edge detection service method, continuous frame difference method and GMM to get initial contour of moving object, and gets ultimate moving object. This method not only can well adapt to the illumination gradients and background disturbance occurred on scene, but also can well solve some problems such as inaccurate target detection, incomplete edge detection, cavitation and ghost which usually appears in traditional method. As experimental result showing, this method holds better real-time and robustness. It is not only easily implemented, but also can accurately detect moving object.

关键词： GMM embedded IOT moving object detection service

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High-availability Deployment for Large Enterprises

High-availability Deployment for Large Enterprises

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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Huahui Lyu Ping Li Ruihong Yan Hongjie Qian Bin Sheng Information Department China Southern Power Grid Department of Mathematics and Information Technology The Education University of Hong Kong Department of Computer Science and Engineering Shanghai Jiao Tong University UM-SJTU Joint Institute Shanghai Jiao Tong University The State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences

With the explosive growth of data capacity, large enterprises increasingly rely on business information systems. A highly informational and data-centralized grid company that engages in high-frequency businesses will face major business failures, incalculable impacts and irreparable damages once data errors occur. The development of an effective high-availability information system has become a hot topic for grid companies. Based on the analysis of pioneer enterprises or businesses(mainly IT enterprises), this paper summarizes the development mode of gradual deployment, and further proposes an extended architecture suitable for large enterprises such as grid companies in order to provide references and suggestions for the gradual deployment of high-availability information systems.

关键词： cloud computing gradual deployment grid company high availability

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Top-k queries for multi-category RFID systems

Top-k queries for multi-category RFID systems

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Xiulong Liu Keqiu Li Jie Wu Alex X. Liu Xin Xie Chunsheng Zhu Weilian Xue School of Computer Science and Technology Dalian University of Technology China Department of Computer and Information Sciences Temple University USA State Key Laboratory for Novel Software Technology Nanjing University China Department of Electrical and Computer Engineering The University of British Columbia Canada School of Management Liaoning Normal University China

ISBN: (纸本)9781467399548

This paper studies the practically important problem of top-k queries, which is to find the top k largest categories and their corresponding sizes. In this paper, we propose a Top-k Query (TKQ) protocol and a technique that we call Segmented Perfect Hashing (SPH) for optimizing TKQ. Specifically, TKQ is based on the framed slotted Aloha protocol. Each tag responds to the reader with a Single-One Geometric (SOG) string using the ON-OFF Keying modulation. TKQ leverages the length of continuous leading 1s in the combined signal to estimate the corresponding category size. TKQ can quickly eliminate the sufficiently small categories, and only needs to focus on a limited number of large-size categories that require more accurate estimation. We conduct rigorous analysis to guarantee the predefined accuracy constraints. To further improve time-efficiency, we propose the SPH scheme, which improves the average frame utilization of TKQ from 36.8% to nearly 100% by establishing a bijective mapping between tag categories and slots. To minimize the overall time cost, we optimize the key parameter that trades off between communication cost and computation cost. Experimental results show that our TKQ+SPH protocol not only achieves the required accuracy constraints, but also achieves a 2.6~7x faster speed than the existing protocols.

关键词： Protocols Radiofrequency identification Estimation computers Servers Sociology Statistics

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Using Data Analytics for Collaboration Patterns in Distributed software Team Simulations: The Role of Dashboards in Visualizing Global software Development Patterns

Using Data Analytics for Collaboration Patterns in Distribut...

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IEEE International Conference on Global software engineering Workshop (ICGSEW)

作者： Georgios A. Dafoulas Fatma C. Serce Kathleen Swigger Robert Brazile Ferda N. Alpaslan Victor Lopez Allen Milewski Computer Science Department School of Science and Technology Middlesex University London United Kingdom Department of Information Systems Engineering Atilim University Ankara Turkey Department of Computer Sciences & Engineering University of North Texas Denton USA Department of Computer Engineering Middle East technical University Ankara Turkey Facultad de Ingenieria de Sistemas Computacionales Universidad Technologica de Panama Panama Department of Computer Science & Software Engineering Monmouth University New Jersey USA

ISBN: (纸本)9781509036264

This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries.

关键词： software software engineering Teamwork Focusing Data analysis Virtual groups

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