Academic literature on the topic 'SMART (Information retrieval system)'

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Journal articles on the topic "SMART (Information retrieval system)"

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Yogish, Deepa, T. N. Manjunath, and Ravindra S. Hegadi. "Analysis of Vector Space Method in Information Retrieval for Smart Answering System." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4468–72. http://dx.doi.org/10.1166/jctn.2020.9099.

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In the world of internet, searching play a vital role to retrieve the relevant answers for the user specific queries. The most promising application of natural language processing and information retrieval system is Question answering system which provides directly the accurate answer instead of set of documents. The main objective of information retrieval is to retrieve relevant document from a huge volume of data sets underlying in the internet using appropriatemodel. There are many models proposed for retrieval process such as Boolean, Vector space and Probabilistic method. Vector space mod
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Gil, Ana B., Fernando de la Prieta, Sara Rodríguez, and Juan M. Corchado. "Smart System for the Retrieval of Digital Educational Content." Applied Sciences 9, no. 20 (2019): 4400. http://dx.doi.org/10.3390/app9204400.

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The education sector is a major generator, consumer, and depositary of educational content. Thanks to technological advances, today’s educators and learners have ubiquitous and on-demand access to information. Technology has made it possible for us to communicate and share information effortlessly from anywhere in the world. However, the availability of vast amounts of heterogeneous educational content will not be useful unless we search, retrieve and integrate it, creating interoperable educational environments. The current challenges to integrating educational content arise from its distribu
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Ahn, Hyeokju, and Harksoo Kim. "Enhanced Spoken Sentence Retrieval Using a Conventional Automatic Speech Recognizer in Smart Home." International Journal on Artificial Intelligence Tools 25, no. 03 (2016): 1650017. http://dx.doi.org/10.1142/s0218213016500172.

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With the rapid evolution of smart home environment, the demand for spoken information retrieval (e.g., voice-activated FAQ retrieval) on information appliances is increasing. In spoken information retrieval, users’ spoken queries are converted into text queries using automatic speech recognition (ASR) engines. If top-1 results of the ASR engines are incorrect, the errors are propagated to information retrieval systems. If a document collection is a small set of sentences such as frequently asked questions (FAQs), the errors have additional effect on the performance of information retrieval sys
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Li, Tong, Victoria Chiu, and Fredric Gey. "X-Window interface to SMART, an advanced text retrieval system." ACM SIGIR Forum 26, no. 1 (1992): 5–16. http://dx.doi.org/10.1145/134374.134375.

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Wang, Xinlu, Weiming Meng, and Mingchuan Zhang. "A novel information retrieval method based on R-tree index for smart hospital information system." International Journal of Advanced Computer Research 9, no. 42 (2019): 133–45. http://dx.doi.org/10.19101/ijacr.2019.940030.

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Yan, Ming Liang. "Research on the Content-Based Video Indexing for Smart Grid." Advanced Materials Research 945-949 (June 2014): 3391–95. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3391.

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Data has become the fundamental resource by the emerging new services such as cloud computing, internet of things and social network. In the electric power applications, the video data mining plays an important role in the intelligent data analysis. With growth of video data in such an amazing speed, the information retrieval is becoming more and more important. This paper focuses on the analysis of the content-based video retrieval and proposes the design of a uniformed search engine system. The system is oriented to the retrieval of both the unstructured video contents and structured tags, w
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Rao, Kodepogu Koteswara, Chavala Shanti, Annam Jagadeeswara Rao, Songa Bosu Babu, Gaddala Lalitha Kumari, and Yalamanchili Surekha. "Personalized Smart Diet Assistance System in Health Care Prosperity with AI and AR." Ingénierie des systèmes d information 27, no. 2 (2022): 267–74. http://dx.doi.org/10.18280/isi.270210.

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Health care prosperity is the most challenging task for human being in the present dangerous COVID scenario and the discovery proposes an augmented reality based personalized smart diet assistance system which provides diet recommendations, appropriate time, type, quantity and method of consumption of a food item diet based on user health parameters based on location and event activities. The augmented reality based system comprises a user data input, an image processing, food consumption assistance, transmissible disease information retrieval and diet planning modules. The system incorporates
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Fang, Shulin. "Visualization of Information Retrieval in Smart Library Based on Virtual Reality Technology." Complexity 2020 (November 28, 2020): 1–18. http://dx.doi.org/10.1155/2020/6646673.

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Starting from the virtual reality technology, the characteristics of its most suitable combination with the library are explored, so as to lay a foundation in theory and practice to promote the development of virtual reality in the library. In the concentration camp of the latest advanced technology, the relevant technologies used in the various levels of models in the smart library are extracted, and their functional principles and applications are systematically introduced; Chapter 4 builds the level of the smart library information retrieval technology model. The structure diagram, various
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Muhammad Junaedi, I Gede Putu Krisna Juliharta, and Eka Grana Aristyana Dewi. "RANCANG BANGUN SISTEM INFORMASI AKADEMIK WEBSITE UNTUK MADRASAH DINIYAH AWALIYAH UBUDIYAH." Smart Techno (Smart Technology, Informatics and Technopreneurship) 5, no. 1 (2023): 29–38. http://dx.doi.org/10.59356/smart-techno.v5i1.75.

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MDA Ubudiyah is an educational institution that focuses on Islamic religious studies. In this place the authors also conducted research. From the sistem currently used, the writer finds the fact that administrative activities there are still paper-based. This is a problem because of frequent data corruption and impractical data retrieval. Therefore the authors offer a solution by creating a website-based information sistem. The development method used in building this system is the Agile software development method. The data collection was carried out by interviewing the Ubudiyah MDA administr
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Danqiu, Qu, and Ren Hao. "Image Retrieval Technology of Smart Archives from the Perspective of National Reading." Wireless Communications and Mobile Computing 2022 (April 28, 2022): 1–9. http://dx.doi.org/10.1155/2022/9592726.

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In order to improve the image retrieval effect of smart archives, reduce retrieval time, and enhance retrieval performance, this paper proposes an image retrieval technology for smart archives from the perspective of national reading. According to the concept of nationwide reading and considering the internal and external influencing factors, mobile visual retrieval service for users of smart archives is provided, and the mobile visual retrieval model for users of smart archives is constructed by using a standardized structure and mixed structure. During the operation of the model, the image f
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Dissertations / Theses on the topic "SMART (Information retrieval system)"

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Kim, Hyojun. "Informed storage management for mobile platforms." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45768.

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Storage devices are rapidly changing, and we need to adapt the OS storage software stack to keep up with the changes. Such a re-evaluation of the storage software stack is especially required for mobile platforms because they are relying on inexpensive flash storage devices having very different performance characteristics from the familiar hard disk.In this thesis work, we first show the importance of storage in mobile platforms; contrary to conventional wisdom, we find evidence that storage is a significant contributor to application performance on mobile devices. Then, we explore the soluti
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Quack, Till. "Large scale mining and retrieval of visual data in a multimodal context." Konstanz Hartung-Gorre, 2009. http://d-nb.info/993614620/04.

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Kotevska, Olivera. "Learning based event model for knowledge extraction and prediction system in the context of Smart City." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM005/document.

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Des milliards de «choses» connectées à l’internet constituent les réseaux symbiotiques de périphériques de communication (par exemple, les téléphones, les tablettes, les ordinateurs portables), les appareils intelligents, les objets (par exemple, la maison intelligente, le réfrigérateur, etc.) et des réseaux de personnes comme les réseaux sociaux. La notion de réseaux traditionnels se développe et, à l'avenir, elle ira au-delà, y compris plus d'entités et d'informations. Ces réseaux et ces dispositifs détectent, surveillent et génèrent constamment une grande uantité de données sur tous les asp
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Wornyo, Edem. "Fabrication and characterization of shape memory polymers at small scales." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26714.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Gall, Ken; Committee Chair: May, Gary S; Committee Member: Brand, Oliver; Committee Member: Degertekin, F Levent; Committee Member: Milor, Linda S. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Morgenroth, Karlheinz. "Kontextbasiertes Information-Retrieval : Modell, Konzeption und Realisierung kontextbasierter Information-Retrieval-Systeme /." Berlin : Logos, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2786087&prov=M&dok_var=1&dok_ext=htm.

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YU, HONGMING. "A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

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Mills, Timothy J. "Content modelling in multimedia information retrieval systems : the Cobra retrieval system." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442405.

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Mohan, Kondrahalli Chowdappa. "Choice of retrieval techniques for a multi-strategy retrieval system." Thesis, University of Sheffield, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287488.

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Taylor, Steven Joseph. "Children's usage of an information retrieval system /." Access Digital Full Text version, 1992. http://pocketknowledge.tc.columbia.edu/home.php/bybib/11230162.

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Thesis (Ed.D.)--Teachers College, Columbia University, 1992.<br>Includes tables. Typescript; issued also on microfilm. Sponsor: Robert O. McClintock. Dissertation Committee: Robert P. Taylor. Includes bibliographical references (leaves 149-157).
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Zhu, Bin, and Hsinchun Chen. "Validating a Geographic Image Retrieval System." Wiley Periodicals, Inc, 2000. http://hdl.handle.net/10150/105934.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system ag
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Books on the topic "SMART (Information retrieval system)"

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Blinova, Anna. The development of an adaptive information retrieval system. University College Dublin, 1999.

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Rabbat, Suzy. Super smart information strategies. Cherry Lake Pub., 2010.

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Rabbat, Suzy. Super smart information strategies. Cherry Lake Pub., 2010.

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Center, Langley Research, ed. Buckets: Smart objects for digital libraries. National Aeronautics and Space Administration, Langley Research Center, 2001.

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Enu Ti Ti Komyunikēshonzu Kabushiki Kaisha. Heisei 17-nendo jōhō kaden katsuyō kiban seibi jigyō: Takinō IC chippu o katsuyōshita jōhō sābisu shisutemu kiban seibi ni kansuru jisshō jigyō : jisshō jikken hōkokusho. Enu Ti Ti Komyunikēshonzu Kabushiki Kaisha, 2006.

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Domingo-Ferrer, Josep. Smart Card Research and Advanced Applications: IFIP TC8. Springer US, 2000.

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Person, Matthew M. The smart hospital: A case study in hospital computerization. Carolina Academic Press, 1988.

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1949-, Rienhoff O., Rodrigues R. J, and Pan American Health Organization, eds. Integrated circuit health data cards (Smart cards): A primer for health professionals. Technology and Health Services Delivery, Health services Organization Unit (THS/OS), Pan American Health Organization, 2003.

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Cho, Hyun-seob. Green and Smart Technology with Sensor Applications: International Conferences, GST and SIA 2012, Jeju Island, Korea, November 28-December 2, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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Cezon, Michel. Towards a Service-Based Internet. ServiceWave 2010 Workshops: International Workshops, OCS, EMSOA, SMART, and EDBPM 2010, Ghent, Belgium, December 13-15, 2010, Revised Selected Papers. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Book chapters on the topic "SMART (Information retrieval system)"

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Castro, Paulo, and Adriano Lopes. "Magnet Mail: A Visualization System for Email Information Retrieval." In Smart Graphics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02115-2_18.

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Khokale, Rahul, Nileshsingh V. Thakur, Mahendra Makesar, and Nitin A. Koli. "Information Retrieval Using Latent Semantic Analysis." In Smart Innovation, Systems and Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0077-0_40.

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Sumathi, K., and P. Pandiaraja. "E-Health Care Patient Information Retrieval and Monitoring System Using SVM." In Smart Technologies in Data Science and Communication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6880-8_2.

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Ali, Aitizaz, Muhammad Fermi Pasha, Ong Huey Fang, Rahim Khan, Mohammed Amin Almaiah, and Ahmad K. Al Hwaitat. "Big Data Based Smart Blockchain for Information Retrieval in Privacy-Preserving Healthcare System." In Big Data Intelligence for Smart Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87954-9_13.

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Kumar, Rakesh, Atul Kumar Ramotra, Amit Mahajan, and Vibhakar Mansotra. "Design and Implementation of Rule-Based Hindi Stemmer for Hindi Information Retrieval." In Smart Innovation, Systems and Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0077-0_13.

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Liu, Yang, Bin Xu, Yuji Yang, Tonglee Chung, and Peng Zhang. "Constructing a Hybrid Automatic Q&A System Integrating Knowledge Graph and Information Retrieval Technologies." In Foundations and Trends in Smart Learning. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6908-7_9.

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Patro, Wilson, Aaquib Niaz, and Rajendra Prasath. "Comprehensive Information Retrieval Using Fine-Tuned Bert Model and Topic-Assisted Query Expansion." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6068-0_12.

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Vijayarajan, V., M. Dinakaran, and Mayank Lohani. "Ontology Based Object-Attribute-Value Information Extraction from Web Pages in Search Engine Result Retrieval." In Smart Innovation, Systems and Technologies. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07353-8_70.

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Grech, Raphael, Dorothy Monekosso, Deon de Jager, and Paolo Remagnino. "A Vision-Based System for Object Identification and Information Retrieval in a Smart Home." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16917-5_24.

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Zhang, Dehai, Tianlong Song, Jin Li, and Qing Liu. "A Linked Data-Based Framework for Personalized Services Information Retrieval in Smart City." In Web Information Systems Engineering – WISE 2013 Workshops. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54370-8_39.

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Conference papers on the topic "SMART (Information retrieval system)"

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Olenchikova, T. U., A. D. Marchenko, and D. L. Maslennikov. "Intelligence Information Retrieval in Corporate Information Systems." In 2018 Global Smart Industry Conference (GloSIC). IEEE, 2018. http://dx.doi.org/10.1109/glosic.2018.8570100.

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Staegemann, Daniel, Sujith Sudhakaran, Christian Daase, and Klaus Turowski. "Exploring the Test Driven Development of an Information Retrieval System." In 20th International Conference on Smart Business Technologies. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0012147700003552.

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Zhang, Yongjie. "Construction of Smart Library System Based on Book Information Retrieval." In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2021. http://dx.doi.org/10.1109/iciccs51141.2021.9432295.

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Chen, Shuo-Han, and Zhen-Yang Guo. "Computation Sourcing in Smart Surveillance Systems for Maximum Information Retrieval." In 2023 9th International Conference on Applied System Innovation (ICASI). IEEE, 2023. http://dx.doi.org/10.1109/icasi57738.2023.10179554.

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Sudhamsu, Gadug, Ankita Agarwal, Rekha Dhivrani, K. S. Bhanu, Jeyalaxmi M, and Ashwini R. Nawadkar. "Streamlining Information Capture and Retrieval with AI-Enabled Systems." In 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2023. http://dx.doi.org/10.1109/smartgencon60755.2023.10442560.

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Amiri, Wesam Al, Mohamed Baza, Karim Banawan, Mohamed Mahmoud, Waleed Alasmary, and Kemal Akkaya. "Privacy-Preserving Smart Parking System Using Blockchain and Private Information Retrieval." In 2019 International Conference on Smart Applications, Communications and Networking (SmartNets). IEEE, 2019. http://dx.doi.org/10.1109/smartnets48225.2019.9069783.

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Heo, Yoonseok, and Sangwoo Kang. "Augmentative and Alternative Communication System Using Information Priority and Retrieval." In 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2019. http://dx.doi.org/10.1109/bigcomp.2019.8679204.

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Liang, Ye, Ningning Guo, Chunxiao Xing, Yong Zhang, and Chao Li. "Multilingual Information Retrieval and Smart News Feed Based on Big Data." In 2015 12th Web Information System and Application Conference (WISA). IEEE, 2015. http://dx.doi.org/10.1109/wisa.2015.44.

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Walia, Navjot Kaur, Parul Kalra, and Deepti Mehrotra. "An IOT by information retrieval approach: Smart lights controlled using WiFi." In 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence). IEEE, 2016. http://dx.doi.org/10.1109/confluence.2016.7508211.

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P, Sharmila, Rutuja S. Kadam, Bharat Bhushan, Vinay Kumar S. B, Shweta Singh, and Inzimam ul Hassan. "Effective Information Capture and Retrieval Through Machine Learning-Based Systems." In 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2023. http://dx.doi.org/10.1109/smartgencon60755.2023.10442003.

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Reports on the topic "SMART (Information retrieval system)"

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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning Syste
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Unknown, Author. WINMOP-R03 Performance of Offshore Pipelines. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0011744.

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The objective of the project was to validate existing pipeline integrity prediction models through field testing multiple pipelines, validate the performance of in-line instrumentation through smart pig runs, and finally, to assess the actual integrity of aging damaged and defective pipelines. The objectives were accomplished by the testing of aging out-of-service lines using "smart pigs", followed by hydrotesting of the lines to failure, recovery of the failed sections, and determination of the pipeline characteristics in the vicinity of the failed sections (failure analysis). One objective o
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Corey, B. B., N. B. Gove, S. L. Yount, and W. J. McDowell. An information retrieval system for chemical separations scientists. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6725612.

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Trubey, D. K. JANE, A new information retrieval system for the Radiation Shielding Information Center. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6042716.

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Stone, Brice M., Vincent L. Wiggins, Kevin M. Borden, LeAnn M. Coleman, and Sheree K. Engquist. Acquisition Information Retrieval and Simulation (ACQUIRES) System: A User's Manual. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada255724.

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Poole, Paula M., Marcie S. Kronberg, and Debra Meyers. Automated Airdrop Information Retrieval System-Human Fact ors Database (AAIRS-HFD) (Users Manual). Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada285571.

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Andrews, Patricia L., and Larry S. Bradshaw. FIRES: Fire Information Retrieval and Evaluation System - A program for fire danger rating analysis. U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1997. http://dx.doi.org/10.2737/int-gtr-367.

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Langner, Margarete R., Rois Langner, and Thien-Kim L. Trenbath. Integrating Smart Plug and Process Load Controls into Energy Management Information System Platforms: A Landscaping Study. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1530714.

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Li, Lingxi, Yaobin Chen, Renren Tian, Feng Li, Howell Li, and James R. Sturdevant. An Integrated Critical Information Delivery Platform for Smart Segment Dissemination to Road Users. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317440.

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An integrated critical information delivery platform for smart segment dissemination to road users was developed. A statewide baseline milepost geodatabase was created at 0.1-mile resolution with tools, protocols, and interfaces that allow other data sources to be efficiently utilized. A variety of data sources (e.g., INRIX, CARS, Doppler, camera images, connected vehicle data, automated vehicle location) were integrated into existing and new dashboards for stakeholders to monitor roadway conditions and after-action reviews. Additionally, based on these data sources, algorithms were developed
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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Anyang, Republic of Korea. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007013.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnersh
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