Application of internet of things in libraries
113071712
Application of the Internet of Things in the Library of Vocational Colleges
The development of vocational college library brought a prodigious increase of property,management situation is grim challenge.The Internet of things can help managers to save manpower,standardized management.This will be the developing trend of the library.
Wang Xue-lia
113417489
The Application of the Internet of Things in the Library of Universities for Nationalities
This paper expounds the concept of the Internet of things,analyzes the cultural significance and methods of realizing the Internet of things in the library of universities for nationalities,and enumerates the advantages of applying the Internet of things in the universities for nationalities.The popularization and application of the Internet of things in the library of universities for nationalities can effectively relieve the restriction from talents and material resources,and gradually realize the target of intelligent campus and city.
Yu Jian-fang
220965255
IoT Services and Applications in Rehabilitation: An Interdisciplinary and Meta Analysis Review
Internet of things (IoT) is a designation given to a technological system that can enhance possibilities of connectivity between people and things and has been showing to be an opportunity for developing and improving smart rehabilitation systems and helps in the e Health area. Objective: to identify works involving IoT that deal with the development, architecture, application, implementation, use of technological equipment in the area of patient rehabilitation. Technology or Method: A systematic review based on Kitchenham's suggestions combined to the PRISMA protocol. The search strategy was carried out comprehensively in the IEEE Xplore Digital Library, Web of Science and Scopus databases with the data extraction method for assessment and analysis consist only of primary studies articles related to the IoT and Rehabilitation of patients. Results: We found 29 studies that addressed the research question, and all were classified based on scientific evidence. Conclusions: This systematic review presents the current state of the art on the IoT in health rehabilitation and identifies findings in interdisciplinary researches in different clinical cases with technological systems including wearable devices and cloud computing. The gaps in IoT for rehabilitation include the need for more clinical randomized controlled trials and longitudinal studies. Clinical Impact: This paper has an interdisciplinary feature and includes areas such as Internet of Things Information and Communication Technology with their application to the medical and rehabilitation domains.
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Luma Carolina Camara Gradim Marcelo Archanjo Jose Daniel Marinho Cezar da Cruz Roseli de Deus Lopes
226475346
Implementation of Smart Shopping Cart using Object Detection Method based on Deep Learning
Recently, many attempts have been made to reduce the time required for payment in various shopping environments. In addition, as the 4th Industrial Revolution era, artificial Intelligence technology is advancing and IoT devices are becoming more compact and cheaper. So, by integrating these two thechnologies, access to building an unmanned environment on behalf of human beings to save users' time became easier. In this paper, we propose a smart shopping cart system based on low cost IoT equipment and deep learning object detection technology. The proposed smart cart system consists of a camera for real time product detection, an ultrasonic sensor that acts as a trigger, a weight sensor to determine whether a product enters into or out of shopping cart, and an application of smartphone that provides a UI for a virtual shopping cart, and a deep learning server where learned product data are stored. Commuication between each module is made of TCP/IP and HTTP network, and YOLO darknet library, an object detection system is used by the server to recognize the product. The user can check the list of items put in the smart cart through the app of the smartphone and automatically pay. The smart cart system proposed in this paper can be applied to implement unmanned stores with high cost performance ratio.
Jin-Seon Oh In-Gook Chun
218651866
An Efficient Clustering Algorithm to Simultaneously Detect Multiple Planes in a Point Cloud
Plane detection in a point cloud is one of the primary step for various applications, such as computer vision, ground plane detection for autonomous navigation, obstacle detection, indoor scene reconstruction, etc. In this paper, a new algorithm for simultaneous detection of multiple planes in a point cloud is proposed. The proposed method is a two step process. In the first step, the surface normals are automatically clustered into probable plane orientations (angular clusters) within a user specified angle threshold, without a priori knowledge of number of planes. In the second step, the angular clusters are further clustered into separate planes, within a user specified distance threshold, based on the normal distances of the points in an angular cluster. In contrast to popular random sampling based methods, the proposed method uses deterministic approach to simultaneously detect all possible planes and has comparable results with the existing methods and is two times faster. The proposed method is implemented using Open3d point cloud library and evaluated on datasets having variety of indoor scenes.
2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE)
Rachna Verma Arvind Kumar Verma
207863614
Superlubric Nanogenerators with Superb Performances
Nanogenerators promise self powered sensors and devices for extensive applications in internet of things, sensor networks, big data, personal healthcare systems, artificial intelligence, et al. However, low electric current densities and short product lifespans have blocked nanogenerators' applications. Here we show that structural superlubricity, a state of nearly zero friction and wear between two contacted solid surfaces, provides a revolutionary solution to the above challenge. We investigate three types of superlubric nanogenerators (SLNGs) namely the capacitor based, triboelectric, and electret based SLNGs, and systematically analyze the influences of material and structural parameters to these SLNGs' performances. We demonstrate that SLNGs can achieve not only enduring lifespans, but also superb performances three orders of magnitude in current densities and output powers higher than those of conventional nanogenerators. Furthermore, SLNGs can be driven by very weak external loads (down to ~1 \mu}$N) in very low frequencies (down to ~1 \mu}$Hz) and are thus capable to harvest electric energies from an extremely board spectrum of environments and biosystems. Among the three types of SLNGs, the capacitor based is synthetically most competitive in the senses of performance, fabrication and maintaining. These results can guide designs and accelerate fabrications of SLNGs toward real applications.
Xuanyu Huang Li Lin Quanshui Zheng Department of Engineering Mechanics Center for Nano Micro Mechanics Tsinghua University China State Key Laboratory of Tribology Applied Mechanics Lab
201053057
How the Fire Industry can Influence the Future of IoT
The UK Insurance Industry is now the primary market for security and Internet of Things (IoT) devices, and manufacturers are pricing these devices especially for insurance firms. This new technology is replacing old models of risk assessment and belongs to the Internet of Things. Plumis is amongst the first to transform their award winning watermist fire suppression system into an intelligent home hub that reduces insurance claims by minimizing risk. Adoption of this fire prevention device is driven by legislation and construction, unique in the IoT world, which is largely driven by consumers. Watermist solutions perform like traditional sprinklers while using only 5.6 litres of water per minute and relies on dry pipe, therefore it is not constantly loaded with water, which is less susceptible to leaks or freezing. The device also has a 'black box' much like a flight recorder, with the potential to be an IoT application, adding features to engage owners and provide support beyond emergencies. Its intelligence provides maintenance data which have the potential to reduce repair costs. The Insuretech phenomenon which refers to the use of technology innovations designed to optimize the current Insurance Industry model will dictate the future of the safety industry. By integrating software into fire safety products, like Automist Smartscan, safety information can then be recorded and tracked on the cloud or server. This ultimately turns the fire suppression system into an innovative IoT solution.
Yusuf Muhammad Frederick Grinnell Modernisation OF Insurance U S Global Engagement Modernisation OF Fire Sprinklers T Retrofittable
207319293
Library Linked Data in the Cloud: OCLC's Experiments with New Models of Resource Description
This book describes OCLC's contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing "cloud" of interconnected resources that identify the things people want to know about when they approach the Internet with an information need. The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world's largest library cooperative, OCLC researchers have been active participants in the development of next generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship. This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age. The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.
Library Linked Data in the Cloud: OCLC's Experiments with New Models of Resource Description
Carol Jean Godby Shenghui Wang Jeff Mixter
116346562
3D Printing of 2D Atomically Thin Materials
The emerging new paradigm of technologies, the internet of things, entails a process of device miniaturization to combine several functional components, such as sensors, actuators, and powering elements, in a single individual on chip platform. An essential requirement is for the devices to have a small footprint and thus to be extended over three dimensions to present adequate performance. A suitable technique to realize devices of complex architectures and virtually any size is three dimensional printing. So far its use has seen applications exclusively at the macroscale. Here we report the first 3D printed architectures via robocasting of two dimensional atomically thin transition metal dichalcogenides demonstrating their use as miniaturizable supercapacitors. The structures are fabricated via direct printing of a liquid ink of chemically exfoliated 2D nanosheets. The 3D printed architectures present footprints in the mm2 scale and micron sized features and they demonstrate mechanical robustness and chemical stability. They exhibit areal capacitance of 1450 mF/cm2, rivalling and surpassing comparable devices. Microsupercapacitors comprising two dimensional atomically thin sheets can enable miniaturization and upscaleable production technologies for wide scale adoption.
Chiara Grotta Peter C Sherrell Pawel Palczynski Maria S Sokolikova K Sharda Cecilia Mattevi Department of Materials Imperial College London
46800975
Statistical Analysis of Process Variations on the Delay Based PUF
Silicon physical unclonable function (PUF) is a special circuit that can reflect the uncontrollable intrinsic variation of integrated circuits (ICs) manufacturing process. These PUFs can be used as hardware security in security fields, such as authentication of devices and key generation in security applications. In order to know how the PUF circuits express the physical characteristics due to manufacturing process variations and provide a reference for researchers in the field of security, we briefly introduce the arbiter based PUF and analyze the arbiter based PUF in depth as it is a typical one of the silicon PUFs. Instead of paying attention to the whole PUF circuit which most studies do, we just focus on the stages so we can determine a demand of the arbiter. Monte Carlo simulation has been used to simulate the manufacturing process variations and the simulation is based on 40nm and 65nm technology libraries. Finally, a Monte Carlo based statistical analysis has demonstrated that advanced technologies can enlarge intrinsic variation.
2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)
Songde Hu Huansheng Ning Yang Xu Lingfeng Mao Youzhong Li Lijun Zhang