Gotowa bibliografia na temat „Mobile IR sensor”
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Artykuły w czasopismach na temat "Mobile IR sensor"
Lim, Jungwook, Jihun Kim, Long Yan, Hyunpil Noh, Seungki Jung, Doosik Seol, Junghyung Pyo i in. "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.
Pełny tekst źródłaArtemčiukas, Edgaras, i 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.
Pełny tekst źródłaLee, Kyunghyun, Sangkyeum Kim i Kwanho You. "Iterative Regression Based Hybrid Localization for Wireless Sensor Networks". Sensors 21, nr 1 (2.01.2021): 257. http://dx.doi.org/10.3390/s21010257.
Pełny tekst źródłaBaasandorj, Bayanjargal, Aamir Reyaz, Park Joung Ho, Cha Wang Cheol, Deok Jin Lee i Kil To Chong. "A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control". Applied Mechanics and Materials 548-549 (kwiecień 2014): 922–27. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.922.
Pełny tekst źródłaPatel, 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.
Pełny tekst źródłaUhm, Taeyoung, Jeongwoo Park, Jungwoo Lee, Gideok Bae, Geonhui Ki i 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.
Pełny tekst źródłaAndreev, 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.
Pełny tekst źródłaKurniawan, Aditya, i 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.
Pełny tekst źródłaYanmida, Dele Zacheaus, Abubakar Surajo Imam i 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.
Pełny tekst źródłaSut, 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.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaChakchouk, 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.
Pełny tekst źródłaThis 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
Części książek na temat "Mobile IR sensor"
Rao, Sudarshana S., i Santosh R. Desai. "Automatic Dent Detection in Automobile Using IR Sensor". W Evolutionary Computing and Mobile Sustainable Networks, 501–11. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9605-3_34.
Pełny tekst źródłaDarif, Anouar, Chaibi Hasna i Rachid Saadane. "An Energy-Efficient MAC Protocol for Mobile Wireless Sensor Network Based on IR-UWB". W 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.
Pełny tekst źródłaSekkas, O., S. Hadjiefthymiades i E. Zervas. "Sensor Data Fusion for Location Awareness". W Encyclopedia of Mobile Computing and Commerce, 863–69. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-002-8.ch145.
Pełny tekst źródłaC. G, Mallamma, Varalakshmi B. D, Nagapushpa K. P i Anuradha U. "SMART NAVIGATION ASSISTANCE SYSTEM FOR THE VISUALLY IMPAIRED". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Mobile IR sensor"
Park, Hyunwoong, i Sooyong Lee. "Rotating Range Sensor System for Obstacle Detection and Map Building". W ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99658.
Pełny tekst źródłaBishnu, Soham Kanti, Sayantika Chowdhury, Pritam Sarkar, Sanaita Khan, Madhurima Paul, Anamitral Gupta, Puijita Roy, Shayani Samanta i Nibedita Maity. "Heart Rate Monitoring system using IR-photodetector sensor". W 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2018. http://dx.doi.org/10.1109/iemcon.2018.8614884.
Pełny tekst źródłaWu, Shaohua, Qiaoling Zhang, Qinyu Zhang i Haiping Yao. "Integrative Ranging and Positioning for IR-UWB Wireless Sensor Networks". W 2011 Third International Conference on Communications and Mobile Computing (CMC). IEEE, 2011. http://dx.doi.org/10.1109/cmc.2011.96.
Pełny tekst źródłaHsu, Hsi-Chou, i Jyh-Horng Wen. "A Low Complexity IR-UWB Receiver for Wireless Sensor Networks". W 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.
Pełny tekst źródłaXiao, Zhu, Guang-hua Tan, Ren-fa Li i Ke-chu Yi. "A Joint Localization Scheme Based on IR-UWB for Sensor Network". W 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2011. http://dx.doi.org/10.1109/wicom.2011.6040590.
Pełny tekst źródłaSegura, Marcelo J., Vicente A. Mut i Hector D. Patino. "Mobile robot self-localization system using IR-UWB sensor in indoor environments". W 2009 IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009). IEEE, 2009. http://dx.doi.org/10.1109/rose.2009.5355978.
Pełny tekst źródłaKarvonen, Heikki, i Leonardo Goratti. "Optimal code rate for wireless sensor networks using IR-UWB and non-coherent detection". W 2010 IEEE 7th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS). IEEE, 2010. http://dx.doi.org/10.1109/mass.2010.5663918.
Pełny tekst źródłaPflug, Hans W., Jos Oudenhoven, Nauman F. Kiyani, Johan H. C. van den Heuvel, Kathleen Philips i Harmke de Groot. "Zinc-air battery modeling for small form factor IR-UWB Wireless Sensor Network radios". W 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.
Pełny tekst źródłaJinpoy Hong, Youjun Choi i Kyihwan Park. "Mobile robot navigation using modified flexible vector field approach with laser range finder and IR sensor". W 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4406993.
Pełny tekst źródłaChao, Paul C. P., Li-Chi Hsu i Trong-Hieu Tran. "A New Small-Sized Non-Dispersive Infrared (NDIR) Sensor and its Drive/Readout Circuits". W 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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