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Publisher’s Note: “Metamaterial particles for electromagnetic energy harvesting” [Appl. Phys. Lett. 101, 173903 (2012)]

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Applied Physics Letters 2013年第26期103卷

作者： Omar M. Ramahi Thamer S. Almoneef Mohammed AlShareef Muhammed S. Boybay 1Department of Electrical and Computer Engineering University of Waterloo Waterloo Ontario N2L 3G1Canada 2Department of Computer Engineering Antalya International University Antalya Turkey

This article was originally published online on 22 October 2012 with a misspelling in Mohammed AlShareef's name. The name is correct as it appears above. All on

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Evaluation of smart metering network and billing system using bluetooth, ZigBee, and GSM

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AIP Conference Proceedings 2022年第1期2644卷

作者： Ahmed Oleiwi Abdulrida Al-Ubodi Israa Badr Nasser Al-Mashhadani 1Department of Computer Engineering College of Engineering Al-Nahrain University Baghdad Iraq 2Department of Biomedical Engineering College of Engineering University of Warith Al-Anbiyaa Iraq

The necessity of managing energy through smart devices has become a significant issue in recent years. Though, the intelligent use of smart devices is an essential component in creating smart cities. Hence, it leads to establishing a smart grid as an infrastructure for smart cities. The smart grid infrastructure consists of smart meters, which is more reliable than digital meters for billing generation. A real-time smart meter system design is proposed and tested in this work. The measured voltage, current, and power factor for energy are multiplied every second and summed up for overall energy consumption, and this process applies to every consumer. Then, the energy consumption of each house is collected from a single region by sending them to the DCU (Data Concentrator Unit). Methods of transferring data in the proposed system consist of three technologies. The first one is the Bluetooth used between the smart socket and the smart meter. This technology was used due to the short distance between the two devices. The second one is Xbee, and it connects the smart meter and the DCU. This technology is used due to the distance between the two devices and the number of smart meters connected in one DCU. The last technology is GSM (Global System for Mobile Communications), and it is used between the DCU and the server to transfer data since this technology can cover long distances. Energy providers will have to implement innovative Time-of-Use (TOU) pricing strategies to implement the above process. A smart meter has the potential to encourage consumers to shift demand from peak hours to off-peak hours or reduce peak demand. And upon the real experiment of the system, it was found that the error rate in the voltage sensor used in the system was 0.26%, and the error rate in the current sensor used was 0.6%. These numbers indicate the reliability of the system because they are acceptable values.

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Spatial Coherence of Currently Available EUV/Soft X‐Ray Sources

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AIP Conference Proceedings 2002年第1期641卷 607-612页

作者： Yanwei Liu David T. Attwood Jorge J. Rocca Henry C. Kapteyn Margaret M. Murnane 1Applied Science and Technology Graduate Group University of California Berkeley CA 94720 1aCenter for X‐Ray Optics Lawrence Berkeley National Lab Berkeley CA 94720 2Department of Electrical and Computer Engineering Colorado State University Fort Collins CO 80523 3Department of Physics University of Colorado Boulder CO 80309 3aJILA University of Colorado Boulder CO 80309 3bNIST Boulder CO 80309

Spatial coherence properties of 3 different kinds of coherent sources in extreme ultraviolet/soft x‐ray wavelength region, namely undulator, x‐ray laser and high harmonic generation source, are introduced. Advantage...

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On stable difference scheme for identification elliptic problem with integral and second kind boundary condition

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AIP Conference Proceedings 2021年第1期2334卷

作者： Charyyar Ashyralyyev 1Department of Mathematical Engineering Gumushane University 29100 Gumushane Turkey 2Department of Computer Technology TAU Ashgabat 744000 Turkmenistan

In this study, the first order of accuracy difference scheme for approximate solution of source identification elliptic problem with integral and second kind boundary conditions is considered. Stability and coercive stability estimates for solution of the difference scheme are described. Moreover, test example with computation results is given.

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Stability estimates for a third order of accuracy difference scheme elliptic overdetermined multi-point problem

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AIP Conference Proceedings 2021年第1期2334卷

作者： Charyyar Ashyralyyev Gulzipa Akyuz 1Department of Mathematical Engineering Gumushane University 29100 Gumushane Turkey 2Department of Computer Technology TAU Ashgabat 744000 Turkmenistan

In this work, we discuss a third order of accuracy difference scheme for approximate solution of the elliptic overdeter-mined multi-point problem in the Hilbert space. Functional operator approach is used to study existence and uniqueness of solution of difference problem. Stability, almost coercive stability and coercive stability estimates for solution of difference scheme are established.

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Performance evaluation of classifiers for non communicable diseases

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AIP Conference Proceedings 2023年第1期2523卷

作者： S. Srinivasan S. Selvakumar Pacha Shobha Rani D. JayaKumar 1Department of Computer Science and Engineering R.M.D Engineering College Kavaraipettai Tamil Nadu India 2Department of Computer Science and Engineering Visvesvaraya College of Engineering and Technology Hyderabad Telangana India

Non-Communicable Diseases (NCD) has been drastically increased across the world in the recent years. Diseases that are not transmissible from one person to another are known as Non-Communicable Diseases (NCDs). Parkinson's disease, Autoimmune Disorders, Strokes, Heart Diseases, Cancers, Diabetes are examples of NCDs. It is found that certain Non-Communicable Diseases are believed to be exacerbated by lifestyle and climate which cause of death in the world. Many Machine Learning methods such as Nave Bayes, Support Vector Machine have been applied to predict NCDs. The aim of this paper is to predict the Non-Communicable Diseases (NCDs) and evaluate the performance of the key classifiers in terms of Prediction accuracy, Kappa and F-Measure. The progress in computer training and AI can remarkably help the analysis of Non-Communicable Diseases (NCDs). Nevertheless, the intrinsic complication of black-box samples controls the understanding of the sample. Consequently, likely regulative concerns arise. Furthermore, the lack of faith inside the therapeutic society is obvious due to the absence of understanding of how and why a sample prophesies. This research illustrates how sample-cynical ways of explainable AI (XAI) can assist give descriptions to assume black-box samples on NCDs information collection better.

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IoT based engineering paradigm for real-time home automation

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AIP Conference Proceedings 2020年第1期2270卷

作者： M. Suguna S. J. Syed Ali Fathima D. Prakash G. Shobana 1Department of Computer Science and Engineering Kumaraguru College of Technology Coimbatore Tamilnadu India 2Department of EEE Veltech Multitech Engineering College Chennai India

Home automation system has reached popularity due to advancement in communication technology where appliances are controlled over internet. It has been developed to support elderly and disabled people. Smart phones are used to receive input which is processed by Google application. In this system, android has been used to capture input voices which are transferred to Ardunio Uno. The received input signals are processed using Bluetooth interfaced Ardunio Uno which is used to control fan and light using relay module. Android operating system is used to achieve automation. Mobile phone and Bluetooth communication protocol are used to control various devices. Home automation aims to supply improved comfort, convenience and security. It helps the elderly and disabled by providing quality of life instead of requiring caregivers or institutional care.

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A review of computer vision techniques for the analysis of vehicles

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AIP Conference Proceedings 2022年第1期2481卷

作者： Aastha Gour Durgaprasad Gangodkar Vikas Tripathi 1Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India 2Department of Computer Science and Engineering Graphic Era Hill University Dehradun Uttarakhand India

Due to the increasing number of vehicles on the roads, a traffic analysis system is of peak importance. Various computer vision techniques and video analytics are used in the traffic analysis system to get useful information. This acquired information can be later used to make crucial judgements in real-time environment. This paper presents a comprehensive literature review in traffic analysis especially in the domains like moving vehicle detection, object identification and traffic volume estimation. The tabulated data presents the different algorithms along with their achieved performances. The paper also provides the limitations and the future scope of the discussed approaches.

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Generic object detection using deep learning

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AIP Conference Proceedings 2022年第1期2444卷

作者： M. Malathi C. Paramasivam K. Nagalakshmi Gospeline Christiana S. Sangeetha 1Department of Computer Science and Engineering Sethu Institute of Technology Virudhu Nagar Tamilnadu India 2Department of Mechanical Engineering Thiagarajar College of Engineering Madurai Tamilnadu India

Object discovery is one of the very important and challenging problems in computer computing, seeks to obtain the properties of objects from a large number of categories previously described in natural images. In particular, image classification that aims to see the semantic categories of objects in a given image. Object discovery is not only identifies item categories but also predicts the location of each item with a mandatory box. Semantic separation process aims to predict intelligent pixel separation to assign a specific category label to each pixel, thus providing a richer and more comprehensive understanding of the image. In depth learning strategies have emerged as a powerful strategy for reading presentations directly from the data and have led to significant success in the field of general acquisition. Given this period of rapid evolution, the aim of this paper is to provide a comprehensive analysis of the latest achievements in this field brought about in-depth learning strategies. Here, the deep learning object detection algorithm is implemented for accuracy and time effectiveness to show the correct label for a character of interest in a movie which will be more useful in surveillance of building, ATM centres etc. Finally, it concludes with a promising indication for future research.

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Synthesis for Robots: Guarantees and Feedback for Robot Behavior

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Control, Robotics, and Autonomous Systems 1000年第1期1卷 211-236页

作者： Hadas Kress-Gazit Morteza Lahijanian Vasumathi Raman 1Sibley School of Mechanical and Aerospace Engineering Cornell University Ithaca New York 14853 USA email: hadaskg@cornell.edu 2Department of Computer Science University of Oxford Oxford OX1 3QD United Kingdom email: morteza.lahijanian@cs.ox.ac.uk 3San Francisco California 94103 USA email: vasu@cds.caltech.edu

Robot control for tasks such as moving around obstacles or grasping objects has advanced significantly in the last few decades. However, controlling robots to perform complex tasks is still accomplished largely by highly trained programmers in a manual, time-consuming, and error-prone process that is typically validated only through extensive testing. Formal methods are mathematical techniques for reasoning about systems, their requirements, and their guarantees. Formal synthesis for robotics refers to frameworks for specifying tasks in a mathematically precise language and automatically transforming these specifications into correct-by-construction robot controllers or into a proof that the task cannot be done. Synthesis allows users to reason about the task specification rather than its implementation, reduces implementation error, and provides behavioral guarantees for the resulting controller. This article reviews the current state of formal synthesis for robotics and surveys the landscape of abstractions, specifications, and synthesis algorithms that enable it.

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