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Статті в журналах з теми "Mobius search"
PRAVEEN. P, PRAVEEN P. "MSPEUX – Mobile Search Personalization by Enhanced User Experience." International Journal of Scientific Research 3, no. 5 (June 1, 2012): 237–39. http://dx.doi.org/10.15373/22778179/may2014/71.
Повний текст джерелаSchwartz, Stephan Andrew. "The Discovery of an American Brig: Fieldwork Involving Applied Remote Viewing Including a Comparison with Electronic Remote Sensing." Journal of Scientific Exploration 34, no. 1 (March 23, 2020): 62–92. http://dx.doi.org/10.31275/20201481.
Повний текст джерелаHaider, Syed Waqar, Guijun Zhuang, Hammad bin Azam Hashmi, and Shahid Ali. "Chronotypes’ Task-Technology Fit for Search and Purchase in Omnichannel Context." Mobile Information Systems 2019 (March 25, 2019): 1–9. http://dx.doi.org/10.1155/2019/8968264.
Повний текст джерелаShimamura, Jun. "Mobile Visual Search." Journal of the Institute of Image Information and Television Engineers 68, no. 3 (2014): 233–34. http://dx.doi.org/10.3169/itej.68.233.
Повний текст джерелаGirod, Bernd, Vijay Chandrasekhar, David Chen, Ngai-Man Cheung, Radek Grzeszczuk, Yuriy Reznik, Gabriel Takacs, Sam Tsai, and Ramakrishna Vedantham. "Mobile Visual Search." IEEE Signal Processing Magazine 28, no. 4 (July 2011): 61–76. http://dx.doi.org/10.1109/msp.2011.940881.
Повний текст джерелаXiong, Zhuangzhi, Tao Xu, Yugang Dai, and Liang Chen. "Mobile Search Development Research." Journal of Physics: Conference Series 1087 (September 2018): 032021. http://dx.doi.org/10.1088/1742-6596/1087/3/032021.
Повний текст джерелаPaulson, L. D. "Search technology goes mobile." Computer 38, no. 8 (2005): 19–22. http://dx.doi.org/10.1109/mc.2005.270.
Повний текст джерелаRoto, Virpi. "Search on mobile phones." Journal of the American Society for Information Science and Technology 57, no. 6 (2006): 834–37. http://dx.doi.org/10.1002/asi.20303.
Повний текст джерелаPark, So-Yeon. "Analysis of Mobile Search Functions of Korean Search Portals." Journal of the Korean Society for information Management 29, no. 1 (March 30, 2012): 175–90. http://dx.doi.org/10.3743/kosim.2012.29.1.175.
Повний текст джерелаN., Angel. "Hybrid Genetic Gravitational Search Algorithm for Energy Efficient Trust Node Identification in Mobile Adhoc Networks." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 74–86. http://dx.doi.org/10.5373/jardcs/v12sp3/20201240.
Повний текст джерелаДисертації з теми "Mobius search"
Katsilieris, Fotios. "Search and secure using mobile robots." Thesis, KTH, Reglerteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105718.
Повний текст джерелаAkbas, Mehmet. "Personal information search on mobile devices." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Sep%5FAkbas.pdf.
Повний текст джерелаThesis Advisor(s): Singh, Gurminder ; Otani, Thomas. "September 2007." Description based on title screen as viewed on October 22, 2007. Includes bibliographical references (p. 83-87). Also available in print.
Litter, Jansen J. "Mobile robot for search and rescue." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1176921842.
Повний текст джерелаMao, K. "Multi-objective search-based mobile testing." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1553273/.
Повний текст джерелаClaesson, Jennifer, and Henrik Gedda. "Google Ads: Understanding millennials' search behavior on mobile devices." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75731.
Повний текст джерелаÖfverman, Jakob. "Information Presentation in Search Engines on Mobile Devices." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-7945.
Повний текст джерелаThis thesis discusses the possibilities to visualise the presentation layer of a search engine on a mobile device in an alternative way. Previous work in the area has shown that the use of text-based-lists can be problematic when accessed on a device with a limited display. In the scope of the thesis and in order to tackle the current problems when displaying the results a literature review was carried out. The findings of the review formed the basis for a requirement definition on which a mock-up was developed. The mock-up was then evaluated and tested during a usability test where a number of users got to experience the alternative presentation layer that uses a visualisation technique called tree- map. The results from the test show that the mock-up could be seen as a alternative to the current presentation of results. The mock-up also shows that a future implementation could also include the use of categories and sorting of information in order to provide content with a meaning.
Amoako-Frimpong, Samuel. "Search Methods for Mobile Manipulator Performance Measurement." Thesis, Marquette University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10841175.
Повний текст джерелаMobile manipulators are a potential solution to the increasing need for additional flexibility and mobility in industrial robotics applications. However, they tend to lack the accuracy and precision achieved by fixed manipulators, especially in scenarios where both the manipulator and the autonomous vehicle move simultaneously. This thesis analyzes the problem of dynamically evaluating the positioning error of mobile manipulators. In particular, it investigates the use of Bayesian methods to predict the position of the end-effector in the presence of uncertainty propagated from the mobile platform. Simulations and real-world experiments are carried out to test the proposed method against a deterministic approach. These experiments are carried out on two mobile manipulators—a proof-of-concept research platform and an industrial mobile manipulator—using ROS and Gazebo. The precision of the mobile manipulator is evaluated through its ability to intercept retroreflective markers using a photoelectric sensor attached to the end-effector. Compared to the deterministic search approach, we observed improved interception capability with comparable search times, thereby enabling the effective performance measurement of the mobile manipulator.
Wu, Hanwei. "Object Ranking for Mobile 3D Visual Search." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175146.
Повний текст джерелаVelazquez, Elio. "Mobile agents in distributed search, a comparative study." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ57761.pdf.
Повний текст джерелаChen, Yu-Han Tiffany. "Interactive object recognition and search over mobile video." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111876.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 123-131).
Cameras of good quality are now available on handheld and wearable mobile devices. The high resolution of these cameras coupled with pervasive wireless connectivity and advanced computer vision algorithms makes it feasible to develop new ways to interact with mobile video. Two important examples are interactive object recognition and search-by-content. Interactive recognition continuously locates objects in a video stream, recognizes them, and labels them with information associated with the objects in the user's view. Example use cases include an augmented shopping application that recognizes products or brands to inform customers about the items they buy and a driver assistance application that recognizes vehicles and signs to improve driver safety. Interactive search-by-content allows users to discover videos using textual queries (e.g., "child dog play"). Instead of requiring broadcasters to manually annotate videos with meta-data tags, our search system uses vision algorithms to automatically produce textual tags. These two services must be highly interactive because users expect timely feedback for their interactions and changes in content. However, achieving high interactivity without sacrificing accuracy or efficiency is challenging. The required computer vision algorithms use computationally intensive deep neural networks and must run at a frame rate of 30 frames per second. Recognizing an object scales with the size of the corpus of objects, and is infeasible on a mobile device. Off-loading recognition operations to servers introduces network and processing delay; when this delay is higher than a frame-time, it degrades recognition accuracy. This dissertation presents two systems that study the trade-off between accuracy and efficiency for interactive recognition and search, and demonstrate how to achieve both goals. Glimpse enables interactive object recognition for camera-equipped mobile devices. Because the algorithms for object recognition entail significant computation, Glimpse runs them on servers across the network. To "hide" latency, Glimpse uses an active cache of video frames on the device and performs tracking on a subset of frames to correct the stale results obtained from the processing pipeline. Our results show that Glimpse achieves a precision of 90% for face recognition, which improves over a scheme performing server-side recognition without using an active cache by 2.8 x. For fast moving objects such as road signs, Glimpse achieves precision up to 80%; without using the active cache, interactive recognition is non-functional (1.9% precision). Panorama enables search on live video streams. It introduces three new mechanisms: (1) an intelligent frame selector that reduces the number of frames on which expensive recognition must be run, (2) a distributed scheduler that uses feedback from the vision algorithms to dynamically determine the order in which streams must be processed, and (3) a search-ranking method that uses visual features to improve search relevance. Our experimental results show that incorporating visual features doubles search relevance from 45% to 90%. To achieve 90% search accuracy, with current pricing from Amazon Web Services, Panorama incurs 24x lower cost than a scheme that recognizes every frame.
by Yu-Han Tiffany Chen.
Ph. D.
Книги з теми "Mobius search"
Wu, Dan, and Shaobo Liang. Mobile Search Behaviors. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02315-6.
Повний текст джерелаK, Kokula Krishna Hari, ed. Optimized Mobile Search Engine Using Click-Through Data: ICIEMS 2014. India: Association of Scientists, Developers and Faculties, 2014.
Знайти повний текст джерелаTara, Calishain, ed. Spidering hacks. Beijing: O'Reilly, 2004.
Знайти повний текст джерелаKuboviak, Jim. Legal and procedural application of mobile videotaping to criminal interdiction patrol. Jacksonville, Fla: Institute of Police Technology and Management, University of North Florida, 1997.
Знайти повний текст джерелаThe Google phone pocket guide. Berkeley, CA: Peachpit Press, 2009.
Знайти повний текст джерелаWilson, Stephen. Mobile Search and Local Search Marketing - Small Business Survival Guide. Lulu Press, Inc., 2010.
Знайти повний текст джерелаMurphy, Robin R., and Ronald C. Arkin. Disaster Robotics. MIT Press, 2014.
Знайти повний текст джерелаMurphy, Robin R. Disaster Robotics. MIT Press, 2014.
Знайти повний текст джерелаDisaster Robotics. MIT Press, 2014.
Знайти повний текст джерелаMurphy, Robin R. Disaster Robotics. MIT Press, 2014.
Знайти повний текст джерелаЧастини книг з теми "Mobius search"
Norrie, Moira C. "Desktop, Tabletop or Mobile?" In Search Computing, 46–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19668-3_5.
Повний текст джерелаWu, Dan, and Shaobo Liang. "Discussion and Conclusions." In Mobile Search Behaviors, 137–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02315-6_5.
Повний текст джерелаWu, Dan, and Shaobo Liang. "Context-based Mobile Search Behaviors." In Mobile Search Behaviors, 31–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02315-6_2.
Повний текст джерелаWu, Dan, and Shaobo Liang. "Information Search in Mobile Context." In Mobile Search Behaviors, 1–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02315-6_1.
Повний текст джерелаWu, Dan, and Shaobo Liang. "Mobile Search Behavior Across Different Devices." In Mobile Search Behaviors, 103–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02315-6_4.
Повний текст джерелаWu, Dan, and Shaobo Liang. "Mobile Search Behaviors and APP Usage." In Mobile Search Behaviors, 79–102. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02315-6_3.
Повний текст джерелаIlarri, Sergio. "Mobile Resource Search." In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80696-2.
Повний текст джерелаIlarri, Sergio. "Mobile Resource Search." In Encyclopedia of Database Systems, 2277–82. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80696.
Повний текст джерелаAral, Atakan, Ilker Zafer Akin, and Marco Brambilla. "Mobile Multi-domain Search over Structured Web Data." In Search Computing, 98–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34213-4_7.
Повний текст джерелаKose, Erdal. "Indexed Search." In Artificial Intelligence and Mobile Services – AIMS 2019, 84–100. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23367-9_7.
Повний текст джерелаТези доповідей конференцій з теми "Mobius search"
Weiss, Scott. "Mobile search." In the 9th international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1377999.1378044.
Повний текст джерелаTiago, Pedro, Niko Kotilainen, Mikko Vapa, Heikki Kokkinen, and Jukka K. Nurminen. "Mobile Search - Social Network Search Using Mobile Devices." In 2008 5th IEEE Consumer Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/ccnc08.2007.268.
Повний текст джерелаTiago, Pedro, Niko Kotilainen, and Mikko Vapa. "Mobile Search - Social Network Search Using Mobile Devices Demonstration." In 2008 5th IEEE Consumer Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/ccnc08.2007.290.
Повний текст джерелаMichel, Maximilian, Zoran Despotovic, Wolfgang Kellerer, Qing Wei, Jorg Widmer, Norihiro Ishikawa, Takeshi Kato, and Tomoyuki Osano. "Poster: P2P search routing concepts for mobile object tracking." In 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous). IEEE, 2007. http://dx.doi.org/10.1109/mobiq.2007.4450991.
Повний текст джерелаErol, Berna, Jiebo Luo, Shih-Fu Chang, Minoru Etoh, Hsiao-Wuen Hon, Qian Lin, and Vidya Setlur. "Mobile media search." In the seventeen ACM international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1631272.1631447.
Повний текст джерелаErol, Berna, Jordan Cohen, Minoru Etoh, Hsiao-Wuen Hon, Jiebo Luo, and Johan Schalkwyk. "Mobile media search." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960729.
Повний текст джерелаGao, Wen. "Mobile Visual Search." In MobiHoc'15: The Sixteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2746285.2767183.
Повний текст джерелаMalhan, Rishi, and Satyandra K. Gupta. "Finding Optimal Sequence of Mobile Manipulator Placements for Automated Coverage Planning of Large Complex Parts." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90105.
Повний текст джерелаChen, Ning, Steven C. H. Hoi, Shaohua Li, and Xiaokui Xiao. "Mobile App Tagging." In WSDM 2016: Ninth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2835776.2835812.
Повний текст джерелаZeng, Zhen, Adrian Röfer, and Odest Chadwicke Jenkins. "Semantic Linking Maps for Active Visual Object Search (Extended Abstract)." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/667.
Повний текст джерелаЗвіти організацій з теми "Mobius search"
Tkachuk, Viktoriia, Serhiy Semerikov, Yuliia Yechkalo, Svitlana Khotskina, and Vladimir Soloviev. Selection of Mobile ICT for Learning Informatics of Future Professionals in Engineering Pedagogy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4127.
Повний текст джерелаCrass, David, Ichiro Suzuki, and Masafumi Yamashita. Searching for a Mobile Intruder in a Corridor - The Open Edge Variant of the Polygon Search Problem. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada283918.
Повний текст джерелаAkua Anyidoho, Nana, Max Gallien, Mike Rogan, and Vanessa van den Boogaard. Mobile Money Taxation and Informal Workers: Evidence from Ghana’s E-Levy. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/ictd.2022.012.
Повний текст джерелаSadeghsalehi, Hamidreza, Parinaz Onikzeh, Afshin Heidari, Aida Kazemi, Parisa Najjariasl, Kamran Dalvandi, and Hadi Zamanian. Application of smartphone apps in assessment after spine surgeries: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0054.
Повний текст джерелаMader, Philip, Maren Duvendack, Adrienne Lees, Aurelie Larquemin, and Keir Macdonald. Enablers, Barriers and Impacts of Digital Financial Services: Insights from an Evidence Gap Map and Implications for Taxation. Institute of Development Studies, June 2022. http://dx.doi.org/10.19088/ictd.2022.008.
Повний текст джерелаCantor, Amy, Heidi D. Nelson, Miranda Pappas, Chandler Atchison, Brigit Hatch, Nathalie Huguet, Brittny Flynn, and Marian McDonagh. Effectiveness of Telehealth for Women’s Preventive Services. Agency for Healthcare Research and Quality (AHRQ), June 2022. http://dx.doi.org/10.23970/ahrqepccer256.
Повний текст джерелаMcEntee, Alice, Sonia Hines, Joshua Trigg, Kate Fairweather, Ashleigh Guillaumier, Jane Fischer, Billie Bonevski, James A. Smith, Carlene Wilson, and Jacqueline Bowden. Tobacco cessation in CALD communities. The Sax Institute, June 2022. http://dx.doi.org/10.57022/sneg4189.
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