Literatura académica sobre el tema "Smart signs"
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Artículos de revistas sobre el tema "Smart signs"
Sayin, Muhammed O., Chung-Wei Lin, Eunsuk Kang, Shinichi Shiraishi y Tamer Basar. "Reliable Smart Road Signs". IEEE Transactions on Intelligent Transportation Systems 21, n.º 12 (diciembre de 2020): 4995–5009. http://dx.doi.org/10.1109/tits.2019.2946356.
Texto completo&NA;. "Smart Fabrics Monitor Patient Vital Signs". Journal of Clinical Engineering 30, n.º 3 (julio de 2005): 111. http://dx.doi.org/10.1097/00004669-200507000-00006.
Texto completoGretzel, Ulrike y Maria Collier de Mendonça. "Smart destination brands: semiotic analysis of visual and verbal signs". International Journal of Tourism Cities 5, n.º 4 (9 de diciembre de 2019): 560–80. http://dx.doi.org/10.1108/ijtc-09-2019-0159.
Texto completoNOWOSIELSKI, Leszek. "“Smart clothing” wearable for vital signs monitoring". PRZEGLĄD ELEKTROTECHNICZNY 1, n.º 5 (1 de mayo de 2022): 64–68. http://dx.doi.org/10.15199/48.2022.05.11.
Texto completoSenior, Melanie. "Novartis signs up for Google smart lens". Nature Biotechnology 32, n.º 9 (septiembre de 2014): 856. http://dx.doi.org/10.1038/nbt0914-856.
Texto completoGajanayake, G. M. T. S., W. E. M. K. D. D. Ekanayake, G. D. C. Malinda, Lakmini Malasinghe y Subashini De Silva. "Smart Health Monitoring System". Journal of Advances in Engineering and Technology 2, n.º 2 (28 de marzo de 2024): 25–36. http://dx.doi.org/10.54389/uesb9651.
Texto completoK., Senthil Kumara Raja, Vignesh Raja S., Arockia Joshwa V. y Yokesh R. "Automated Smart Healthcare Monitoring System". Journal of Ubiquitous Computing and Communication Technologies 6, n.º 4 (enero de 2025): 368–76. https://doi.org/10.36548/jucct.2024.4.004.
Texto completoWan, Zhanzhi, Tiejun Zhou, Jianwu Xiong y Gao Pan. "Smart Safety Design for Evacuation Signs in Large Space Buildings Based on Height Setting and Visual Range of Evacuation Signs". Buildings 14, n.º 9 (11 de septiembre de 2024): 2875. http://dx.doi.org/10.3390/buildings14092875.
Texto completoB, Thyla, Bhuvanesh G, Jacob Novan Nelson A y Abishek M. "Smart Stretcher for Measuring Vital Signs of Unconscious Persons". ECS Transactions 107, n.º 1 (24 de abril de 2022): 533–41. http://dx.doi.org/10.1149/10701.0533ecst.
Texto completoPospelova, I. V., I. V. Cherepanova, D. S. Bragin y V. N. Serebryakova. "Feasibility Assessment of Using Smart Trackers in Telemedicine Systems to Remotely Monitor the Overall Health of Patients in Real-Time". Journal of the Russian Universities. Radioelectronics 24, n.º 6 (30 de diciembre de 2021): 71–83. http://dx.doi.org/10.32603/1993-8985-2021-24-6-71-83.
Texto completoTesis sobre el tema "Smart signs"
Chandrasekaran, Vikram. "Measuring Vital Signs Using Smart Phones". Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33139/.
Texto completoAbidi, Rihab. "Smart Rοad Signs based trust management mοdels fοr cοοperative Ιntellgent Τranspοrtatiοn Systems". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMR111.
Texto completoThe increasing complexity of urban traffic systems has made congestion a significant challenge, leading to severe economic, environmental, and social impacts. Intelligent Transportation Systems (ITSs) have emerged as a promising solution to mitigate these challenges by enabling dynamic traffic management. However, the reliability of data within ITSs represents an increasingly significant challenge. The introduction of erroneous data by defective or malicious sensors can lead to malfunctions or intentional disruptions of the system. In this context, trust management models assume a crucial importance.Most of the existing trust models propose vehicle-centric approaches. However, the high mobility and dynamic nature of the ITS environments affects the stability and scalabity of such systems. Accordingly, proposing novel trust models designed specifically for ITSs to enhance the accuracy, security, scalability and stabilty of traffic information dissemination constitutes the overall goal of this thesis.First, we proposed a generic architecture for a trust framework, leveraging Smart Road Signs (SRSs). The conception of this architecture was built upon the output of a deep investigation of the state of the art. This framework has been, then, developed to propose two novel trust models. The first model, considers the contextual information and multi-source data aggregation to assess the trustworthiness of reported traffic events and the different nodes of the network. Additionally, the model applies a bi-level trust evaluation combining Bayesian Inference and a dynamic weighted sum approach. Furthermore, a predictive-based Baysian Inference was proposed to enhance the accuracy of trust evaluation. Thereafter, a communication trust model was proposed, to complement the previous contribution, using Quality of Service (QoS) metrics to evaluate the SRSs behaviour. This model introduces a self-organizing trust model to track the SRSs' behaviours and establishes stable environments using a fuzzy-based Dempster Shafer Theory (DST). In fact, we consider a more realistic scenario where all the nodes are vulnerable to attacks and failure. Thus, the main objective of this model is to ensure that the system remains operational even in hostile environments, by mitigating the inherent single point of failure vulnerability characteristic of centralized network architectures.\\The proposed models were validated through simulations, showing their effectiveness in identifying malicious nodes and mitigating erroneous traffic reports. The results demonstrate that considering multi-source data aggregation and context-aware information increases the accuracy of trust evaluation. Furthermore, the adoption of an infrastructure-based framework leveraging a decentralized and hierarchical architecture enhances the scalability and stability of the trust models, which is suitable for such environment
Silva, Rafael y Naveed Ul Haq. "Monitoring Heart Rate with Common Market Smart-phones for Identifying Potential Signs that may Lead to Sudden Death". Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3018.
Texto completoBabar, Ayesha y Carine Kanani. "Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach". Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030.
Texto completoClifford, Shea. "Platform migration of a LCD smart transit sign". Click here to view, 2010. http://digitalcommons.calpoly.edu/cpesp/3/.
Texto completoProject advisor: David Braun. Title from PDF title page; viewed on Apr. 19, 2010. Includes bibliographical references. Also available on microfiche.
Tamatsu, Yukimasa, Hiroshi Murase, Ichiro Ide, Yoshito Mekada, Tomokazu Takahashi, Daisuke Deguchi y Keisuke Doman. "Estimation of Traffic Sign Visibility Toward Smart Driver Assistance". IEEE, 2010. http://hdl.handle.net/2237/14486.
Texto completoTlemsani, Fatima Zohra. "Mesure des transferts thermiques et hydriques par intégration des fluxmètres thermiques textiles dans un vêtement pour les enfants en situation de polyhandicap". Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILN004.
Texto completoChildren with cerebral palsy experience significant psychological stress during rehabilitation. This is related to many psychological factors such as fear, anxiety and phobias, and physical factors such as the weight of the rehabilitation devices, their friction on the body, and the pain related to motor problems. In the state of art, it has been shown that researchers have followed an approach using physiological parameters as biomarkers of stress. They mainly use biosignals such as skin temperature (ST), electrocardiography (ECG), electrodermal activity (EDA), electromyography (EMG), respiration, pupil diameter, electroencephalography (EEG) for stress assessment. Since thermal and hydric exchanges are a function of temperature evolution, they can also be an indicator of stress, especially since they represent an indicator of thermal discomfort. For this purpose, in this work, a textile heat fluxmeter, which has characteristics of permeability, flexibility and suitability for use on the skin, has been developed, analyzed and characterized. An experimental device was set up in order to establish a calibration system of the fluxmeter. Then the thermo-hydric behavior of the fluxmeters was analyzed under laboratory conditions. The developed textile heat fluxmeter showed similar sensitivities as the gold standard sensor. Moreover, the study of the fluxmeter performance showed a similar behavior to that of the standard sensor. Therefore, stress tests were conducted on 20 healthy adult volunteers of different ages and genders, women and men, and on two children, 7 and 12 years old, also healthy. Three different types of activities were performed to induce stress, namely, mathematical activities, virtual reality games and a sports activity. This was with the objective of stimulating different types of stress, i.e. positive stress (eustress), negative stress and physical stress, respectively. The results of the tests show a similar behavior between the two fluxmeters (textile and standard), and a positive correlation between the behavior of the electrocardiogram and the fluxmeter. A relation was established in the majority of cases between the volunteers' feedback on the stress they felt and their thermo-hydric response measured by the textile heat fluxmeter
Mohamed, Asif, Paul Sujeet y Vishnu Ullas. "Gauntlet-X1: Smart Glove System for American Sign Language translation using Hand Activity Recognition". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428743.
Texto completoTingström, Alexander. "Outsmarting Passwords : An Analysis on the use of Smart Cards for Single Sign-On in Legacy Applications". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217264.
Texto completoGenom att använda smartakort som bärare av användarnamn och lösenord för gamla "legacyapplikationer" så kan man drastiskt öka säkerheten i dessa system. I detta examensarbete så läggs ett förslag på lösning till problemet att äldre applikationer enbart tillåter autentisering genom användarnamn.lösenord. Genom att lagra användardata på ett enkrypterat utrymme i ett smartkort för att sedan automatiskt mata in detta i den berörda applikationen så tillåts starkare, ej användarvänliga, lösenord att användas. Grunden till detta system utvecklas och en säkerhetsanalys utförs. Detta visar på en kraftig förbättring av säkerheten gentemot dessa system.
Amor, Yasmine. "Ιntelligent apprοach fοr trafic cοngestiοn predictiοn". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMR129.
Texto completoTraffic congestion presents a critical challenge to urban areas, as the volume of vehicles continues to grow faster than the system’s overall capacity. This growth impacts economic activity, environmental sustainability, and overall quality of life. Although strategies for mitigating traffic congestion have seen improvements over the past few decades, many cities still struggle to manage it effectively. While various models have been developed to tackle this issue, existing approaches often fall short in providing real-time, localized predictions that can adapt to complex and dynamic traffic conditions. Most rely on fixed prediction horizons and lack the intelligent infrastructure needed for flexibility. This thesis addresses these gaps by proposing an intelligent, decentralized, infrastructure-based approach for traffic congestion estimation and prediction.We start by studying Traffic Estimation. We examine the possible congestion measures and data sources required for different contexts that may be studied. We establish a three-dimensional relationship between these axes. A rule-based system is developed to assist researchers and traffic operators in recommending the most appropriate congestion measures based on the specific context under study. We then proceed to Traffic Prediction, introducing our DECentralized COngestion esTimation and pRediction model using Intelligent Variable Message Signs (DECOTRIVMS). This infrastructure-based model employs intelligent Variable Message Signs (VMSs) to collect real-time traffic data and provide short-term congestion predictions with variable prediction horizons.We use Graph Attention Networks (GATs) due to their ability to capture complex relationships and handle graph-structured data. They are well-suited for modeling interactions between different road segments. In addition to GATs, we employ online learning methods, specifically, Stochastic Gradient Descent (SGD) and ADAptive GRAdient Descent (ADAGRAD). While these methods have been successfully used in various other domains, their application in traffic congestion prediction remains under-explored. In our thesis, we aim to bridge that gap by exploring their effectiveness within the context of real-time traffic congestion forecasting.Finally, we validate our model’s effectiveness through two case studies conducted in Muscat, Oman, and Rouen, France. A comprehensive comparative analysis is performed, evaluating various prediction techniques, including GATs, Graph Convolutional Networks (GCNs), SGD and ADAGRAD. The achieved results underscore the potential of DECOTRIVMS, demonstrating its potential for accurate and effective traffic congestion prediction across diverse urban contexts
Libros sobre el tema "Smart signs"
Anthony, Michelle. Signing Smart workshop-in-a-box: Curriculum for a parent audience. [Centennial, Colo.]: Wide-Eyed Learning, 2004.
Buscar texto completoAnthony, Michelle y Reyna Lindert. Signing Smart Flashcards: First Signs. Self, 2004.
Buscar texto completoAnthony, Michelle y Reyna Lindert. Signing Smart Flashcards: Animal Signs. Self, 2004.
Buscar texto completoSmart Signs, Foolish Choices: An Astrological Guide to Getting Smart in Affairs of the Heart. Citadel, 2004.
Buscar texto completoNext-generation smart traffic signals: RHODES with Intellidrive--the self-taught traffic control system. Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 2009.
Buscar texto completoSattler, Neida. Codependent Recovery : 10 Smart Tips to Overcome Codependent Relationship and Love Yourself: Signs of Codependent Relationship. Independently Published, 2021.
Buscar texto completoMatthews, Steven. All I See Is Dollar Signs: The Post-Pandemic Arbitrage Blueprint - Make Money Selling Used Stuff the Smart Way. Independently Published, 2021.
Buscar texto completohkf, tracker. Vital Signs Log Book: Smart Blood Sugar Book by Marlene Merit, Personal Health Record Keeper, Blood Pressure and Sugar, Track Blood. Independently Published, 2022.
Buscar texto completohkf, tracker. Vital Signs Log Book: Smart Blood Sugar Book by Marlene Merit, Personal Health Record Keeper, Blood Pressure and Sugar, Track Blood. Independently Published, 2022.
Buscar texto completoCapítulos de libros sobre el tema "Smart signs"
Rogers, Reese. "Smart Grid and Energy Storage Installations Rising". En Vital Signs, 19–21. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-457-4_5.
Texto completoSun, Peiliang. "Prison IOT Application—Vital Signs Monitoring System". En Smart Prisons, 109–19. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9657-2_6.
Texto completoLundberg, Jenny y Lena Claesson. "Early Signs of Diabetes Explored from an Engineering Perspective". En Smart Industry & Smart Education, 22–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95678-7_3.
Texto completoSun, Letian, Li Liu, Ye Wei, Jun Zhong, Dashi Luo, Ming Liu y Hamed Monkaresi. "Apply Autocorrelation and Forward Difference to Measure Vital Signs Using Ordinary Camera". En Smart Health, 150–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08416-9_16.
Texto completoBalog, Michal, Erik Szilagyi y Miroslav Mindas. "Traffic Signs in Urban Logistics with the Use of RFID Technology". En Smart City 360°, 584–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33681-7_49.
Texto completoBuratto, Davi F. y Frank H. Behrens. "Cost-Effective Platform for the Acquisition of Vital Signs". En Smart Innovation, Systems and Technologies, 425–36. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66961-3_39.
Texto completoYu, Lina, Liqun Guo, Huanfang Deng, Kequan Lin, Limin Yu, Wanlin Gao y Iftikhar Ahmed Saeed. "Research on Continuous Vital Signs Monitoring Based on WBAN". En Inclusive Smart Cities and Digital Health, 371–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39601-9_33.
Texto completoBattula, Deepak, G. Santhoshi Kumari y Lakshmi Choudari. "Prediction of Traffic Signs Avoiding Adversarial Effects Using Convolutional Neural Networks". En Smart Innovation, Systems and Technologies, 505–11. Singapore: Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6222-4_41.
Texto completoAbidi, Rihab, Nabil Sahli, Nadia Ben Azzouna, Wassim Trojet y Ghaleb Hoblos. "Monitoring Traffic Congestion Using Trust-Based Smart Road Signs". En Communications in Computer and Information Science, 184–96. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70966-1_9.
Texto completoVelasco, Franklin y Hanna Marriott. "Smart Signage: Toward a Transformative Model that Effectively Generates Consumer-Product Relationships". En The Future of Consumption, 39–54. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33246-3_3.
Texto completoActas de conferencias sobre el tema "Smart signs"
Setiawan, Yosua, Muhammad Nurul Puji y Winda Astuti. "Traffic Signs Detection System Using YOLO (You Only Look Once) That Provides Notification". En 2024 IEEE International Conference on Smart Mechatronics (ICSMech), 95–100. IEEE, 2024. https://doi.org/10.1109/icsmech62936.2024.10812285.
Texto completoLiu, Xuanzhi, Ehsan Khoramshahi, Ruochen Zhang, Chen Chen, Eetu Puttonen y Yuwei Chen. "Using Direct-Georeferencing with a MEMS-LiDAR to Classify Traffic Signs, an Automatic Approach". En 2024 5th International Conference on Smart Sensors and Application (ICSSA), 1–6. IEEE, 2024. https://doi.org/10.1109/icssa62312.2024.10788657.
Texto completoGe, Yao, Heyi Zhao y Tong Liu. "Prediction and analysis of the severity of road traffic accidents at traffic signs under rainstorm conditions". En Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), editado por Hao Chen y Wei Shangguan, 121. SPIE, 2025. https://doi.org/10.1117/12.3051342.
Texto completoPhilosof, Jonathan, Deep Pal, Aviya Bennett, Yevgeny Beiderman, Sergey Agdarov, Yafim Beiderman y Zeev Zalevsky. "Fiber based photonic sensor for sensing of vital bio-signs and of glucose concentration in blood stream as well as for its usage in smart building related applications". En 2024 24th International Conference on Transparent Optical Networks (ICTON), 1. IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10647913.
Texto completoKumar, Chevella Anil, V. Sagar Reddy, Nainika Kandarpa y Pallavi Sharma. "Smart IoT System for Indian Sign Language Translator". En 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), 254–58. IEEE, 2024. http://dx.doi.org/10.1109/icoici62503.2024.10696760.
Texto completoTang, Yongyang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun y Yue Gao. "MERIT: Multimodal Wearable Vital Sign Waveform Monitoring". En 2024 IEEE Smart World Congress (SWC), 1112–19. IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00178.
Texto completoCraig, Paul. "Super Smart Signs". En 1989 Conference and Exposition on Future Transportation Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/891723.
Texto completoSkubic, Marjorie. "Smart health vital signs from the smart home". En 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops). IEEE, 2015. http://dx.doi.org/10.1109/percomw.2015.7134064.
Texto completoYasmina, Djebbara, Rebai Karima y Azouaoui Ouahiba. "Traffic signs recognition with deep learning". En 2018 International Conference on Applied Smart Systems (ICASS). IEEE, 2018. http://dx.doi.org/10.1109/icass.2018.8652024.
Texto completoFarag, W. y Z. Saleh. "Traffic Signs Identification by Deep Learning for Autonomous Driving". En Smart Cities Symposium 2018. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1382.
Texto completoInformes sobre el tema "Smart signs"
Sakulneya, Apidej y Jeffery Roesler. Smart Construction Work-Zone Safety with V2I Passive Material Sensing. Illinois Center for Transportation, diciembre de 2024. https://doi.org/10.36501/0197-9191/24-027.
Texto completoSakulneya, Apidej y Jeffery Roesler. Enhancing Construction Work-Zone Safety by Passive Pavement-to-Vehicle Communication. Illinois Center for Transportation, agosto de 2023. http://dx.doi.org/10.36501/0197-9191/23-016.
Texto completoKhan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, septiembre de 2022. http://dx.doi.org/10.19088/k4d.2022.142.
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