Auswahl der wissenschaftlichen Literatur zum Thema „Mobile IR sensor“
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Zeitschriftenartikel zum Thema "Mobile IR sensor"
Lim, Jungwook, Jihun Kim, Long Yan, Hyunpil Noh, Seungki Jung, Doosik Seol, Junghyung Pyo et al. „A single chip PPG sensor with enhanced IR sensitivity for low power and small size“. Electronic Imaging 2021, Nr. 7 (18.01.2021): 66–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.7.iss-066.
Der volle Inhalt der QuelleArtemčiukas, Edgaras, und Leonidas Sakalauskas. „INTEGRATION OF SENSOR ORIENTATION DATA INTO AN AUGMENTED REALITY TECHNOLOGY / JUTIKLIŲ ORIENTACIJOS DUOMENŲ INTEGRACIJA PAPILDYTOSIOS REALYBĖS TECHNOLOGIJOJE“. Mokslas – Lietuvos ateitis 6, Nr. 2 (24.04.2014): 172–77. http://dx.doi.org/10.3846/mla.2014.24.
Der volle Inhalt der QuelleLee, Kyunghyun, Sangkyeum Kim und Kwanho You. „Iterative Regression Based Hybrid Localization for Wireless Sensor Networks“. Sensors 21, Nr. 1 (02.01.2021): 257. http://dx.doi.org/10.3390/s21010257.
Der volle Inhalt der QuelleBaasandorj, Bayanjargal, Aamir Reyaz, Park Joung Ho, Cha Wang Cheol, Deok Jin Lee und Kil To Chong. „A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control“. Applied Mechanics and Materials 548-549 (April 2014): 922–27. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.922.
Der volle Inhalt der QuellePatel, Karan. „Operating Electric Equipment with IR Sensor and IOT“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VI (20.06.2021): 1935–41. http://dx.doi.org/10.22214/ijraset.2021.35408.
Der volle Inhalt der QuelleUhm, Taeyoung, Jeongwoo Park, Jungwoo Lee, Gideok Bae, Geonhui Ki und Youngho Choi. „Design of Multimodal Sensor Module for Outdoor Robot Surveillance System“. Electronics 11, Nr. 14 (15.07.2022): 2214. http://dx.doi.org/10.3390/electronics11142214.
Der volle Inhalt der QuelleAndreev, V. P. „Obstacle shape determination by mobile robot sensor system using GP2Y0A (Sharp) type IR distance sensors“. Power engineering: research, equipment, technology 26, Nr. 1 (24.04.2024): 195–207. http://dx.doi.org/10.30724/1998-9903-2024-26-1-195-207.
Der volle Inhalt der QuelleKurniawan, Aditya, und Kholilatul Wardani. „Kinect Structural Noise Elimination Technique For ITIS Mobile Robot Data Collector“. International Journal of Engineering & Technology 7, Nr. 4.27 (30.11.2018): 1. http://dx.doi.org/10.14419/ijet.v7i4.27.22425.
Der volle Inhalt der QuelleYanmida, Dele Zacheaus, Abubakar Surajo Imam und Sabur Ajibola Alim. „Obstacle Detection and Anti-Collision Robot Using Ultrasonic Sensor“. ELEKTRIKA- Journal of Electrical Engineering 22, Nr. 1 (28.04.2023): 11–14. http://dx.doi.org/10.11113/elektrika.v22n1.404.
Der volle Inhalt der QuelleSut, Dhruba Jyoti. „Development of an Autonomous Real Time Collision Avoidance Mobile Robot“. International Journal for Research in Applied Science and Engineering Technology 10, Nr. 1 (31.01.2022): 1700–1705. http://dx.doi.org/10.22214/ijraset.2022.40125.
Der volle Inhalt der QuelleDissertationen zum Thema "Mobile IR sensor"
Gal, Carol. „Multi-sensor (IR) data fusion for mobile robot navigation using occupancy grid method“. Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6843.
Der volle Inhalt der QuelleChakchouk, Mohamed. „Conceptiοn d'un détecteur de système mécatronique mobile intelligent pour observer des molécules en phase gazeuse en ΙR“. Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR06.
Der volle Inhalt der QuelleThis work anticipates that, in an ever-expanding digital technology world, technological breakthroughs in the analysis of data collected by spectroscopic devices will allow the almost instantaneous identification of known species observed in-situ in a specific environment, leaving the necessary in-depth analysis of unobserved species. The method derived from RBDO (Reliability Based Design Optimization) technology will be used to implement an artificial intelligence procedure to identify observed species from a mobile IR sensor. To successfully analyze the obtained data, it is necessary to appropriately assign molecular species from the observed IR data using appropriate theoretical models. This work focuses on the observation from mobile devices equipped with appropriate sensors, antennas, and electronics to capture and send raw or analyzed data from an interesting IR spectroscopic environment. It is therefore interesting if not essential to focus on symmetry-based theoretical tools for the spectroscopic analysis of molecules, which allows to identify the IR windows to be chosen for observation in the design of the device. Then, by fitting the theoretical spectroscopic parameters to the observed frequencies, the spectrum of a molecular species can be reconstructed. A deconvolution of the observed spectra is necessary before the analysis in terms of intensity, width and line center characterizing a line shape. Therefore, an adequate strategy is needed in the design to include data analysis during the observation phase, which can benefit from an artificial intelligence algorithm to account for differences in the IR spectral signature. In this regard, the analytical power of the instrument data can be improved by using the reliability-based design optimization (RBDO) methodology. Based on the multi-physics behavior of uncertainty propagation in the hierarchical system tree, RBDO uses probabilistic modeling to analyze the deviation from the desired output as feedback parameters to optimize the design in the first place. The goal of this thesis is to address IR observation window parameters to address reliability issues beyond mechatronic design to include species identification through analysis of collected data
Buchteile zum Thema "Mobile IR sensor"
Rao, Sudarshana S., und Santosh R. Desai. „Automatic Dent Detection in Automobile Using IR Sensor“. In Evolutionary Computing and Mobile Sustainable Networks, 501–11. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9605-3_34.
Der volle Inhalt der QuelleDarif, Anouar, Chaibi Hasna und Rachid Saadane. „An Energy-Efficient MAC Protocol for Mobile Wireless Sensor Network Based on IR-UWB“. In Advances in Intelligent Systems and Computing, 1–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76357-6_1.
Der volle Inhalt der QuelleSekkas, O., S. Hadjiefthymiades und E. Zervas. „Sensor Data Fusion for Location Awareness“. In Encyclopedia of Mobile Computing and Commerce, 863–69. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-002-8.ch145.
Der volle Inhalt der QuelleC. G, Mallamma, Varalakshmi B. D, Nagapushpa K. P und Anuradha U. „SMART NAVIGATION ASSISTANCE SYSTEM FOR THE VISUALLY IMPAIRED“. In Futuristic Trends in IOT Volume 3 Book 5, 209–26. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgio5p2ch4.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Mobile IR sensor"
Park, Hyunwoong, und Sooyong Lee. „Rotating Range Sensor System for Obstacle Detection and Map Building“. In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99658.
Der volle Inhalt der QuelleBishnu, Soham Kanti, Sayantika Chowdhury, Pritam Sarkar, Sanaita Khan, Madhurima Paul, Anamitral Gupta, Puijita Roy, Shayani Samanta und Nibedita Maity. „Heart Rate Monitoring system using IR-photodetector sensor“. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2018. http://dx.doi.org/10.1109/iemcon.2018.8614884.
Der volle Inhalt der QuelleWu, Shaohua, Qiaoling Zhang, Qinyu Zhang und Haiping Yao. „Integrative Ranging and Positioning for IR-UWB Wireless Sensor Networks“. In 2011 Third International Conference on Communications and Mobile Computing (CMC). IEEE, 2011. http://dx.doi.org/10.1109/cmc.2011.96.
Der volle Inhalt der QuelleHsu, Hsi-Chou, und Jyh-Horng Wen. „A Low Complexity IR-UWB Receiver for Wireless Sensor Networks“. In 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE, 2012. http://dx.doi.org/10.1109/imis.2012.95.
Der volle Inhalt der QuelleXiao, Zhu, Guang-hua Tan, Ren-fa Li und Ke-chu Yi. „A Joint Localization Scheme Based on IR-UWB for Sensor Network“. In 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2011. http://dx.doi.org/10.1109/wicom.2011.6040590.
Der volle Inhalt der QuelleSegura, Marcelo J., Vicente A. Mut und Hector D. Patino. „Mobile robot self-localization system using IR-UWB sensor in indoor environments“. In 2009 IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009). IEEE, 2009. http://dx.doi.org/10.1109/rose.2009.5355978.
Der volle Inhalt der QuelleKarvonen, Heikki, und Leonardo Goratti. „Optimal code rate for wireless sensor networks using IR-UWB and non-coherent detection“. In 2010 IEEE 7th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS). IEEE, 2010. http://dx.doi.org/10.1109/mass.2010.5663918.
Der volle Inhalt der QuellePflug, Hans W., Jos Oudenhoven, Nauman F. Kiyani, Johan H. C. van den Heuvel, Kathleen Philips und Harmke de Groot. „Zinc-air battery modeling for small form factor IR-UWB Wireless Sensor Network radios“. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2013. http://dx.doi.org/10.1109/pimrc.2013.6666136.
Der volle Inhalt der QuelleJinpoy Hong, Youjun Choi und Kyihwan Park. „Mobile robot navigation using modified flexible vector field approach with laser range finder and IR sensor“. In 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4406993.
Der volle Inhalt der QuelleChao, Paul C. P., Li-Chi Hsu und Trong-Hieu Tran. „A New Small-Sized Non-Dispersive Infrared (NDIR) Sensor and its Drive/Readout Circuits“. In ASME 2016 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/isps2016-9562.
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