Academic literature on the topic 'Ubiquitous Sensor Network (USN)'
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Journal articles on the topic "Ubiquitous Sensor Network (USN)"
Toliupa, Sergey, Yuriy Kravchenko, and Aleksander Trush. "ORGANIZATION OF IMPLEMENTATION OF UBIQUITOUS SENSOR NETWORKS." Informatics Control Measurement in Economy and Environment Protection 8, no. 1 (February 28, 2018): 36–39. http://dx.doi.org/10.5604/01.3001.0010.8643.
Full textKim, Marie, Jun Wook Lee, and Hoy Chan Bang. "Research on Middleware in Ubiquitious Sensor Network Envionment." Advanced Materials Research 452-453 (January 2012): 927–31. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.927.
Full textLi, X., and Y. Y. Yu. "Application of Ubiquitous Sensor Network in Collection and Analysis of CNC Machine Tool Processing Status Information." Key Engineering Materials 455 (December 2010): 621–24. http://dx.doi.org/10.4028/www.scientific.net/kem.455.621.
Full textKarimi, Maryam, Reza Javidan, and Manijeh Keshtgari. "A New Method for Intelligent Message Network Management in Ubiquitous Sensor Networks." Computer Engineering and Applications Journal 3, no. 3 (September 30, 2014): 139–46. http://dx.doi.org/10.18495/comengapp.v3i3.69.
Full textPark, Jong-Hyun, and Ji-Hoon Kang. "USN Metadata Definition and Metadata Management System for Ubiquitous Sensor Network." Journal of the Korea Society of Computer and Information 16, no. 6 (June 30, 2011): 143–53. http://dx.doi.org/10.9708/jksci.2011.16.6.143.
Full textKwak, Pill Jae, Seog Ku Kim, Sang Leen Yun, Sung Won Kang, Hyun Dong Lee, Joo Yeon Lee, Hyo Jin Ban, Keun Ho Yang, Hee Jae Oh, and Young Sung Kim. "Establishment of Waternode Stations for Water Quality Monitoring by IP-USN." Materials Science Forum 695 (July 2011): 610–13. http://dx.doi.org/10.4028/www.scientific.net/msf.695.610.
Full textBagula, Antoine B., Isaac Osunmakinde, and Marco Zennaro. "On the Relevance of Using Bayesian Belief Networks in Wireless Sensor Networks Situation Recognition." Sensors 10, no. 12 (December 3, 2010): 11001–20. http://dx.doi.org/10.3390/s101211001.
Full textLEE, WOOJIN, JUIL KIM, and JANGMOOK KANG. "A FRAMEWORK FOR AUTOMATED CONSTRUCTION OF NODE SOFTWARE USING LOW-LEVEL ATTRIBUTES IN USN APPLICATION DEVELOPMENT." International Journal of Software Engineering and Knowledge Engineering 22, no. 05 (August 2012): 675–93. http://dx.doi.org/10.1142/s0218194012500192.
Full textHong, Sung-Il, and Chi-Ho Lin. "A Multi-Protocol Gateway Middleware Design on Ubiquitous Sensor Networks." Journal of Korean Institute of Communications and Information Sciences 38B, no. 11 (November 30, 2013): 895–901. http://dx.doi.org/10.7840/kics.2013.38b.11.895.
Full textLee, Sung Pil. "System in Package of Integrated Humidity Sensor Using CMOS-MEMS Technology." Journal of Nanoscience and Nanotechnology 15, no. 10 (October 1, 2015): 7503–7. http://dx.doi.org/10.1166/jnn.2015.11162.
Full textDissertations / Theses on the topic "Ubiquitous Sensor Network (USN)"
Sareh, Said Adel Mounir. "Ubiquitous sensor network in the NGN environment." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0016/document.
Full textUbiquités Sensor Network (USN) is a conceptual network built over existing physical networks. It makes use of sensed data and provides knowledge services to anyone, anywhere and at anytime, and where the information is generated by using context awareness. Smart wearable devices and USNs are emerging rapidly providing many reliable services facilitating people life. Those very useful small end terminals and devices require a global communication substrate to provide a comprehensive global end user service. In 2010, the ITU-T provided the requirements to support USN applications and services in the Next Génération Network (NGN) environment to exploit the advantages of the core network. One of the main promising markets for the USN application and services is the e-Health. It provides continuous patients’ monitoring and enables a great improvement in medical services. On the other hand, Vehicular Ad-Hoc NETwork (VANET) is an emerging technology, which provides intelligent communication between mobile vehicles. Integrating VANET with USN has a great potential to improve road safety and traffic efficiency. Most VANET applications are applied in real time and they are sensitive to delay, especially those related to safety and health. In this work, we propose to use IP Multimedia Subsystem (IMS) as a service controller sub-layer in the USN environment providing a global substrate for a comprehensive end-to-end service. Moreover, we propose to integrate VANETs with USN for more rich applications and facilities, which will ease the life of humans. We started studying the challenges on the road to achieve this goal
Sareh, Said Adel Mounir. "Ubiquitous sensor network in the NGN environment." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0016.
Full textUbiquités Sensor Network (USN) is a conceptual network built over existing physical networks. It makes use of sensed data and provides knowledge services to anyone, anywhere and at anytime, and where the information is generated by using context awareness. Smart wearable devices and USNs are emerging rapidly providing many reliable services facilitating people life. Those very useful small end terminals and devices require a global communication substrate to provide a comprehensive global end user service. In 2010, the ITU-T provided the requirements to support USN applications and services in the Next Génération Network (NGN) environment to exploit the advantages of the core network. One of the main promising markets for the USN application and services is the e-Health. It provides continuous patients’ monitoring and enables a great improvement in medical services. On the other hand, Vehicular Ad-Hoc NETwork (VANET) is an emerging technology, which provides intelligent communication between mobile vehicles. Integrating VANET with USN has a great potential to improve road safety and traffic efficiency. Most VANET applications are applied in real time and they are sensitive to delay, especially those related to safety and health. In this work, we propose to use IP Multimedia Subsystem (IMS) as a service controller sub-layer in the USN environment providing a global substrate for a comprehensive end-to-end service. Moreover, we propose to integrate VANETs with USN for more rich applications and facilities, which will ease the life of humans. We started studying the challenges on the road to achieve this goal
Chung, W. Y. (Wan-Young). "Ubiquitous healthcare system based on a wireless sensor network." Doctoral thesis, University of Oulu, 2009. http://urn.fi/urn:isbn:9789514292903.
Full textLudovici, Alessandro. "New Architectures for ubiquitous networks : use and adaptation of internet protocols over wireless sensor networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/279288.
Full textEsta tesis se enfoca en el estudio de protocolos de bajo consumo, técnicas de comunicación y software con el fin de evaluar, optimizar y desarrollar servicios Web en WSNs. Empezamos analizando la arquitectura de servicios Web con el objetivo de elegir la arquitectura más apropiada debido a las limitaciones de WSNs. Ésta se denomina REST. En base a este análisis, revisamos el estado del arte de los protocolos que permiten desarrollar servicios Web. Con este objetivo adoptamos el estándar IEEE 802.15.4 por la capa física y de enlace, 6LoWPAN por la de red y CoAP por la capa de aplicación. 6LoWPAN define dos técnicas de enrutamiento, denominadas 'Mesh Under' (MU) y 'Route Over' (RO). Asimismo ofrece un mecanismo para fragmentar paquetes, llamado 6LoWPAN fragmentation. En parte de la tesis estudiamos los efectos que MU y RO tienen sobre la comunicación que utiliza 6LoWPAN fragmentation. En particular, MU no previene enrutar fragmentos innecesarios y la entrega fuera de orden, lo cual podría provocar un uso ineficiente de ancho de banda y un crecimiento del consumo energía. Proponemos entonces nueva técnica capaz de mejorar las prestaciones de MU con paquetes fragmentados que denominamos 'Controlled Mesh Under' (CMU). Los resultados de una evaluación en una WSN real demuestran que CMU es capaz de mejorar las prestaciones de MU reduciendo la pérdida de paquetes y el retraso end-to-end. En 6LoWPAN fragmentation, la pérdida de un fragmento causa la retransmisión del paquete entero. Para evitar esta limitación CoAP define blockwise transfer. Esto divide el paquete en bloques y los envía en comunicaciones fiables provocando overhead. Proponemos un nuevo modelo analítico para estudiar blockwise y 6LoWPAN fragmentation cuya validación se realiza mediante simulaciones de Monte Carlo. Ambas técnicas se comparan en términos de fiabilidad y retraso. Los resultados muestran que es preferible usar 6LoWPAN fragmentation para las aplicaciones con restricciones en retraso. Para las redes mas congestionadas, blockwise mejora ligeramente 6LoWPAN fragmentation en términos de fiabilidad. CoAP define la opción observe para permitir a un cliente registrarse a un recurso proporcionado por un servidor y recibir actualizaciones de su estado. La QoS ofrecida por la opción observe proporciona soporte parcial por el timeliness. Esta permite especificar la validez de una actualización pero no garantiza su entrega a tiempo. Este enfoque es ineficiente y no incluye aplicaciones, como por ejemplo e-health que requieren la entrega de las actualizaciones en un plazo determinado. Teniendo en cuenta esta limitación, diseñamos y evaluamos un mecanismo novedoso para la entrega de actualizaciones basada en la prioridad. La evaluación demuestra que la implementación de una orden de entrega mejora la tasa de llegada y el retraso de las actualizaciones. Nuestra propuesta es capaz de reducir el consumo de energía permitiendo a los clientes expresar el tipo de actualización que desean recibir. En parte de esta tesis presentamos nuestra librería original pro TinyOS a la que nos referimos como TinyCoAP, así como el diseño y desarrollo de un Proxy CoAP. Comparamos TinyCoAP a CoapBlip, que es la aplicación distribuida con TinyOS. TinyCoAP demuestra ser capaz de alcanzar una alta optimización de código y reducir el impacto sobre la memoria de nodos de WSNs. La evaluación también incluye el análisis de la fiabilidad de CoAP que no había sido estudiada en la literatura. Como novedad también comparamos CoAP con HTTP, considerando diferentes soluciones para el protocolo de transporte como UDP y conexiones TCP persistentes. El Proxy CoAP permite a las aplicaciones Web acceder de manera transparente a los recursos almacenados en dispositivos CoAP. Éste incluye el protocolo WebSocket, que permite el establecimiento de conexiones long-lived. También permite el uso de aplicaciones Web con la tradicional técnica HTTP long-polling
Kenney, Joshua D., Chris J. Cunningham, and Ben A. Abbott. "EVALUATION OF UBIQUITIOUS USE OF WIRELESS SENSOR NETWORK TECHNOLOGY IN DATA ACQUISITION AND TELEMETRY APPLICATIONS." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604407.
Full textIndustrial wireless sensor networks can be designed to meet the strict requirements of specific distributed applications. Emerging standards have enabled the development of low-cost, lowpower sensor nodes that are quickly becoming a commodity, enabling the realization of efficient and reliable data acquisition and telemetry in many systems. Moreover, new and exciting possibilities arise from the distributed computing power of the sensor nodes, the ability to monitor and aggregate data across large arrays of sensors, and the ability to model dynamic and rugged environments that were previously beyond the reach of traditional data acquisition and telemetry systems.
Laibowitz, Matthew Joel 1975. "Creating cohesive video with the narrative-informed use of ubiquitous wearable and imaging sensor networks." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57695.
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Includes bibliographical references (p. 222-231).
In today's digital era, elements of anyone's life can be captured, by themselves or others, and be instantly broadcast. With little or no regulation on the proliferation of camera technology and the increasing use of video for social communication, entertainment, and education, we have undoubtedly entered the age of ubiquitous media. A world permeated by connected video devices promises a more democratized approach to mass-media culture, enabling anyone to create and distribute personalized content. While these advancements present a plethora of possibilities, they are not without potential negative effects, particularly with regard to privacy, ownership, and the general decrease in quality associated with minimal barriers to entry. This dissertation presents a first-of-its-kind research platform designed to investigate the world of ubiquitous video devices in order to confront inherent problems and create new media applications. This system takes a novel approach to the creation of user-generated, documentary video by augmenting a network of video cameras integrated into the environment with on-body sensing. The distributed video camera network can record the entire life of anyone within its coverage range and it will be shown that it, almost instantly, records more audio and video than can be viewed without prohibitive human resource cost.
(cont.) This drives the need to develop a mechanism to automatically understand the raw audiovisual information in order to create a cohesive video output that is understandable, informative, and/or enjoyable to its human audience. We address this need with the SPINNER system. As humans, we are inherently able to transform disconnected occurrences and ideas into cohesive narratives as a method to understand, remember, and communicate meaning. The design of the SPINNER application and ubiquitous sensor platform is informed by research into narratology, in other words how stories are created from fragmented events. The SPINNER system maps low level sensor data from the wearable sensors to higher level social signal and body language information. This information is used to label the raw video data. The SPINNER system can then build a cohesive narrative by stitching together the appropriately labeled video segments. The results from three test runs are shown, each resulting in one or more automatically edited video piece. The creation of these videos is evaluated through review by their intended audience and by comparing the system to a human trying to perform similar actions. In addition, the mapping of the wearable sensor data to meaningful information is evaluated by comparing the calculated results to those from human observation of the actual video.
by Mathew Laibowitz.
Ph.D.
Rashid, Md Jayedur. "Extending a networked robot system to include humans, tiny devices, and everyday objects." Doctoral thesis, Örebro universitet, Akademin för naturvetenskap och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-15247.
Full textLa, Rosa Giovanni. "Prototipazione di un Modello di Trust in una rete di sensori." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textBerlemont, Samuel. "Automatic non linear metric learning : Application to gesture recognition." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI014/document.
Full textAs consumer devices become more and more ubiquitous, new interaction solutions are required. In this thesis, we explore inertial-based gesture recognition on Smartphones, where gestures holding a semantic value are drawn in the air with the device in hand. In our research, speed and delay constraints required by an application are critical, leading us to the choice of neural-based models. Thus, our work focuses on metric learning between gesture sample signatures using the "Siamese" architecture (Siamese Neural Network, SNN), which aims at modelling semantic relations between classes to extract discriminative features, applied to the MultiLayer Perceptron. Contrary to some popular versions of this algorithm, we opt for a strategy that does not require additional parameter fine tuning, namely a set threshold on dissimilar outputs, during training. Indeed, after a preprocessing step where the data is filtered and normalised spatially and temporally, the SNN is trained from sets of samples, composed of similar and dissimilar examples, to compute a higher-level representation of the gesture, where features are collinear for similar gestures, and orthogonal for dissimilar ones. While the original model already works for classification, multiple mathematical problems which can impair its learning capabilities are identified. Consequently, as opposed to the classical similar or dissimilar pair; or reference, similar and dissimilar sample triplet input set selection strategies, we propose to include samples from every available dissimilar classes, resulting in a better structuring of the output space. Moreover, we apply a regularisation on the outputs to better determine the objective function. Furthermore, the notion of polar sine enables a redefinition of the angular problem by maximising a normalised volume induced by the outputs of the reference and dissimilar samples, which effectively results in a Supervised Non-Linear Independent Component Analysis. Finally, we assess the unexplored potential of the Siamese network and its higher-level representation for novelty and error detection and rejection. With the help of two real-world inertial datasets, the Multimodal Human Activity Dataset as well as the Orange Dataset, specifically gathered for the Smartphone inertial symbolic gesture interaction paradigm, we characterise the performance of each contribution, and prove the higher novelty detection and rejection rate of our model, with protocols aiming at modelling unknown gestures and open world configurations. To summarise, the proposed SNN allows for supervised non-linear similarity metric learning, which extracts discriminative features, improving both inertial gesture classification and rejection
Nunes, Douglas Fabiano de Sousa. "ACUMAAF: ambiente de computação ubíqua para o monitoramento e avaliação de atividade física." Universidade Federal de São Carlos, 2012. https://repositorio.ufscar.br/handle/ufscar/501.
Full textFinanciadora de Estudos e Projetos
The physical inactivity has been indicated by the World Health Organization (WHO) as one of the main risk factors for the incidence of Chronic Non-Communicable Diseases (CNCDs). Millions of deaths in the world are a result of these diseases, and this number has increased each year. In an attempt to change this scenario WHO has stimulated regular practice of physical activities, because they play an important role in preventing CNCDs. In Brazil, these activities are performed by health units which generate a large amount of data that need treatment. To deal with this problem we developed UCEMEPA, an environment that employs Ubiquitous Computing technologies and wireless communication networks, in order to monitor remotely and evaluate participants of physical activity groups in real-time. This environment automatically collects physiologic data, and provides indicators which will support and direct public policies for promoting physical activity. In this sense, UCEMEPA will contribute for the promotion of health and quality of life, and for the conduction of longitudinal studies aiming to establish correlations between the practice of physical activity and CNCDs prevention.
A inatividade física tem sido apontada pela Organização Mundial de Saúde (OMS) como um dos principais fatores de risco comportamentais responsáveis pela incidência de Doenças Crônicas Não Transmissíveis (DCNTs). Milhões de mortes no mundo são decorrentes dessas doenças e esse número vem aumentando a cada ano. Na tentativa de reverter esse quadro a OMS vem estimulando as práticas regulares de atividade física, já que estas possuem um importante papel na prevenção de DCNTs. No Brasil a promoção dessas atividades é realizada por unidades regionalizadas de saúde e geram uma grande quantidade de dados que carecem de processamento e tratamento. Em resposta a esse problema nós desenvolvemos o ACUMAAF, um ambiente que emprega tecnologias emergentes da Computação Ubíqua e redes de comunicação sem fio para monitorar e avaliar, em tempo real e a distância, participantes de grupos de atividade física. Esse ambiente coleta dados fisiológicos de forma automática e coletiva e tem como objetivo possibilitar a geração de indicadores capazes de apoiar e nortear políticas públicas de promoção de atividade física. O ACUMAAF é um ambiente computacional com contribuições para a promoção da saúde, para a promoção da qualidade de vida da população e para a realização de estudos longitudinais objetivando relacionar atividade física e a prevenção de DCNTs.
Books on the topic "Ubiquitous Sensor Network (USN)"
Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, and Korea (South) Chŏngbo Tʻongsinbu, eds. USN kiban haeksim ŭngyong sŏbisŭ kisul kaebal =: Development of core application service technology based on Ubiquitous Sensor Network. [Seoul]: Chŏngbo Tʻongsinbu, 2006.
Find full textK, Denko Mieso, and International Federation for Information Processing., eds. Emerging direction in embedded and ubiquitous computing: EUC 2007 Workshops, TRUST, WSOC, NCUS, UUWSN, USN, ESO, and SECUBIQ, Taipei, Taiwan, December 17-20, 2007 : proceedings. Berlin: Springer, 2007.
Find full textCambridge, Mass ). IOT (Conference) (2014. 2014 International Conference on the Internet of Things (IOT 2014): Cambridge, Massachusetts, USA 6-8 October 2014. Piscataway, NJ: IEEE, 2014.
Find full textRichard, Fuller, and Koutsoukos Xenofon D, eds. Mobile entity localization and tracking in GPS-less environnments: Second international workshop, MELT 2009, Orlando, Fl, USA, September 30, 2009 : proceedings. Berlin: Springer, 2009.
Find full textKlaus, Moessner, Presser Mirko, Meissner Stefan, and SpringerLink (Online service), eds. Smart Sensing and Context: 4th European Conference, EuroSSC 2009, Guildford, UK, September 16-18, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
Find full textGanchev, Ivan. Enhanced Living Environments: Algorithms, Architectures, Platforms, and Systems. Springer Nature, 2019.
Find full textEnhanced Living Environments: From Models to Technologies. Institution of Engineering & Technology, 2017.
Find full textBook chapters on the topic "Ubiquitous Sensor Network (USN)"
Kim, Young Yong. "Research Directions in the Area of USN (Ubiquitous Sensor Network) Towards Practical UE (Ubiquitous Environments)." In Emerging Directions in Embedded and Ubiquitous Computing, 505–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11807964_51.
Full textArnesano, Marco, and Silvia Angela Mansi. "Embedded Sensors, Ubiquitous Connectivity and Tracking." In Disrupting Buildings, 23–38. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32309-6_2.
Full textKang, Taegyeong, Namje Park, Hyungkyu Lee, and Hyo-Chan Bang. "Use-Cases and Service Modeling Analysis of Open Ubiquitous Sensor Network Platform in Semantic Environment." In Lecture Notes in Electrical Engineering, 463–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_69.
Full textJang, Tae-Su, Keon-Jun Park, Jun-Myung Lee, Jae-Hyun Kwon, and Yong-Kab Kim. "A Study on the LED VLC Trans-Receiver Module for Use of Ubiquitous-Sensor Network and Its Efficiency." In Communications in Computer and Information Science, 234–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35600-1_35.
Full textAouami, Rachid, Rashedul Hoque, and Sébastien Roy. "Load Balancing and Network Life in Linear Wireless Sensor Networks." In Ubiquitous Networking, 133–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86356-2_12.
Full textZhang, Qingquan, Woong Cho, Gerald E. Sobelman, Liuqing Yang, and Richard Voyles. "TwinsNet: A Cooperative MIMO Mobile Sensor Network." In Ubiquitous Intelligence and Computing, 508–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_52.
Full textBoutoustous, Kahina, Eugen Dedu, and Julien Bourgeois. "A Framework to Calibrate a MEMS Sensor Network." In Ubiquitous Intelligence and Computing, 136–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02830-4_12.
Full textFu, Zhen, Yuan Yang, Tae-Seok Lee, and Myong-Soon Park. "Adapted Listening in Wireless Sensor Network MAC Protocol." In Ubiquitous Intelligence and Computing, 546–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_56.
Full textMajumder, Aditi. "Ubiquitous Displays: A Distributed Network of Active Displays." In Distributed Video Sensor Networks, 215–30. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_15.
Full textVilla, David, Francisco Moya, Félix Jesús Villanueva Molina, Óscar Aceña, and Juan Carlos López. "Sensor Network Integration by Means of a Virtual Private Network Protocol." In Ubiquitous Computing and Ambient Intelligence, 85–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35377-2_12.
Full textConference papers on the topic "Ubiquitous Sensor Network (USN)"
Cho, Moon-Haeng. "eRTOS-USN: A small real-time operating system for ubiquitous sensor networks." In 2012 IEEE International Conference on Wireless Information Technology and Systems (ICWITS). IEEE, 2012. http://dx.doi.org/10.1109/icwits.2012.6417681.
Full textAhn, Hyo-Sung, and Wonpil Yu. "Simultaneous Pedestrian and Robot Localization Technique in an Indoor Ubiquitous Robotic Space (URS)." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34408.
Full textNose, Hiroaki, Kazumasa Mizuta, Hisayoshi Kunimune, Miao Bao, Masaaki Niimura, Yasushi Fuwa, and Yasushi Yoshikawa. "Proposal and evaluation for wireless sensor network which use terminal that eliminated receiver circuit." In 2010 Second International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2010. http://dx.doi.org/10.1109/icufn.2010.5547204.
Full textRollo, Federica, Bharath Sudharsan, Laura Po, and John G. Breslin. "Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case." In UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460418.3479277.
Full textZhang, Desheng, and Tian He. "USN." In SenSys '16: The 14th ACM Conference on Embedded Network Sensor Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2994551.2996708.
Full textIstrate, Cristiana, George Suciu, Sebastian Ene, and Ijaz Hussain. "AN INTRODUCTION TO UBIQUITOUS COMPUTING IN THE MILITARY NETWORK." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-026.
Full textLopez, Rafael, Christian DeGuzman, and Abdelrahman Elleithy. "Use of Sensor Node Networks for Car Security." In 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2019. http://dx.doi.org/10.1109/uemcon47517.2019.8992952.
Full textRolim, Carlos, Anubis Rossetto, Valderi Leithhardt, Guilherme Borges, Tatiana Dos Santos, Adriano Souza, and Cláudio Geyer. "Putting Opportunistic, Situational and Smart Approaches to Underlie the Data Transmission of Social Urban Sensing Applications." In VII Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Sociedade Brasileira de Computação - SBC, 2015. http://dx.doi.org/10.5753/sbcup.2015.10182.
Full textDhananjay Singh, U. S. Tiwary, and Wan-Young Chung. "Connectivity of ubiquitous sensor network with fixed network." In 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4406759.
Full textPark, Sung-Hyun, and Han-Bai Park. "A study on the fabrication and electrical characteristics of barometric sensors for USN." In 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2017. http://dx.doi.org/10.1109/icufn.2017.7993843.
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