Academic literature on the topic 'Single-board computers'
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Journal articles on the topic "Single-board computers"
Mikhaylov, S. V., N. I. Palgin, V. V. Nikitin, and I. P. Filyshkin. "Application of single board computer as a control nucleus of perspective navigation complexes of modern mobile objects." Issues of radio electronics, no. 12 (December 28, 2019): 6–12. http://dx.doi.org/10.21778/2218-5453-2019-12-6-12.
Full textHaley, Andrew, Howerd Oakford, and Chris Stephens. "Interactive development environment for single-board computers." Microprocessors and Microsystems 10, no. 5 (June 1986): 268–72. http://dx.doi.org/10.1016/0141-9331(86)90119-5.
Full textHandayani, Rini, Simon Siregar, Marlindia Ike Sari, and Gaous Afrizal. "Thin Client System for Education Purpose using Raspberry Pi." International Journal of Engineering & Technology 7, no. 4.44 (December 1, 2018): 233. http://dx.doi.org/10.14419/ijet.v7i4.44.26997.
Full textEhrmann, Guido, and Andrea Ehrmann. "Suitability of common single circuit boards for sensing and actuating in smart textiles." Communications in Development and Assembling of Textile Products 1, no. 2 (December 22, 2020): 170–79. http://dx.doi.org/10.25367/cdatp.2020.1.p170-179.
Full textMaceli, Monica, and Anthony Cocciolo. "Monitoring Environmental Conditions with Low-Cost Single Board Computers." Preservation, Digital Technology & Culture 46, no. 4 (December 6, 2017): 124–31. http://dx.doi.org/10.1515/pdtc-2017-0008.
Full textAtmadja, Martono Dwi. "Single Board Computer Applications as Multi-Server VoIP." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 1023–28. http://dx.doi.org/10.22214/ijraset.2021.36512.
Full textMilatz, Marius. "Application of single-board computers in experimental research on unsaturated soils." E3S Web of Conferences 195 (2020): 02022. http://dx.doi.org/10.1051/e3sconf/202019502022.
Full textCosta Neto, José Vieira da, Edgar Marçal de Barros Filho, and José Rogério Santana. "Single-Board Computers na Educação: Uma revisão sistemática da literatura." Research, Society and Development 10, no. 7 (June 17, 2021): e12410716476. http://dx.doi.org/10.33448/rsd-v10i7.16476.
Full textBabchuk, S. M., Т. V. Humeniuk, and I. T. Romaniv. "MATHEMATICAL MODELS PRODUCTIVITY OF CLUSTER SYSTEM BASED ON RASPBERRY PI 3B+." Radio Electronics, Computer Science, Control 1, no. 1 (April 2, 2021): 46–56. http://dx.doi.org/10.15588/1607-3274-2021-1-5.
Full textBaun, Christian. "Performance and Energy-Efficiency Aspects of Clusters of Single Board Computers." International Journal of Distributed and Parallel systems 7, no. 2/3/4 (July 31, 2016): 13–22. http://dx.doi.org/10.5121/ijdps.2016.7402.
Full textDissertations / Theses on the topic "Single-board computers"
Jansson, Martin, and Simon Petersson. "Object detection and single-board computers : En förstudie gjord på Saab AB." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75981.
Full textSaab is currently using an old and complex system to perform tests of their products. The system is based on filming from different angles which will be merged to one film from which Saab can analyze the results of their products. Single-board computers is something that have become increasingly popular in the recent years, therefore, we are to investigate whether it is possible or not to replace the older systems with SBCs and cameras.We will also investigate whether the BeagleBoard is capable of detecting objects while filming, synchronizing, encoding and saving the video for later use.The result showed that the processor isn’t powerful enough to handle object identification without full hardware support. Instead, it needs to be performed afterwards by a computer which will identify objects in the video. A better method has been proposed to make object identification smarter and learning, which will work better in Saab’s case and their future work.
Weber, Nils Thorben. "Satellite Front-End Equipment Based on Consumer Off-The-Shelf Single-Board Computers." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-397450.
Full textRomin, Andreas. "Locks and raspberries: a comparative study of single-board computers for access control." Thesis, Uppsala universitet, Fasta tillståndets elektronik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296375.
Full textCheng, Tsaichin Daniel 1959. "The implementation of the DEVS hierarchical abstract simulator using 286/10 single board computers." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276592.
Full textAndersson, Michael, and Andreas Mickols. "A study of Centralized Network Intrusion Detection System using low end single board computers." Thesis, Högskolan Dalarna, Datateknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:du-25552.
Full textKennedy, Timothy James 1958. "A MULTIPROCESSOR KERNEL AND MONITOR FOR IMAGE PROCESSING APPLICATIONS USING 286/10 SINGLE BOARD COMPUTERS." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276970.
Full textAbade, Pedro António Carvalho. "VR-Banway: deploying a body area network gateway on single-board computers and mesh networks." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23569.
Full textInternet of Things (IoT) is a generic category of ICT architectures that includes the use of sensor-based, communication-enabled systems. A common architectural element in IoT is the sensors gateway that collects data from nearby sensors and relays them to higher-order remote services. The VR2Market project, in which this work is integrated, uses two implementations of the gateway, based on Android smartphones and RPI boards. With the new proposed IoT-inspired computing module, it is possible to migrate gateways to a smaller, more efficient hardware, while retaining the high-level programming abstraction. In this work, we propose and implement a new version of the gateway, named VR-Banway, using the Intel Edison compute module, taking into consideration the integration with additional service layers in VR2Market system, especially with respect to the required Ad hoc networks support. VR-Banway proved to be a solution capable of replacing the existing gateway component in the VR2Market system. The new approach uses a smaller module, reduces power consumption and is more portable. VR-Banway has been used in the context of firefighters monitoring, but is ready to be deployed in other domains.
A Internet of Things (IoT) é uma categoria genérica das arquiteturas de TIC que inclui o uso de sistemas baseados em sensores e comunicações. Um elemento comum das arquiteturas IoT é o agregador que recolhe dados de sensores nas proximidades e reencaminha-os para serviços remotos de mais alto nível. O projeto VR2Market, no qual este trabalho está integrado, usa duas implementações do agregador de dados, implementados em Android e RPI. Com o novo módulo proposto, inspirado na IoT, é possível migrar os agregadores de dados para dispositivos mais pequenos e mais eficientes mantendo a abstração de programação de alto nível. Neste trabalho, propomos e implementamos uma nova versão do agregador de dados, chamado VR-Banway, usando o módulo computacional Intel Edison, tendo em consideração a integração de novas camadas de serviços no VR2Market, especialmente no que diz respeito ao suporte de redes Ad hoc. VR-Banway provou ser uma solução capaz de substituir o componente de agregador de dados existente no sistema VR2Market. A nova abordagem usa um módulo mais pequeno, reduz o consumo de energia e é mais portátil. VR-Banway foi usado no contexto de monitorização de bombeiros, mas está preparado para ser implementado noutros domínios.
Ali, Mohamad Idaly Bin. "Development and implementation of a low-cost data acquisition system using single-board computers to measure volumetric water content." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119312.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (page 73).
The work described in this thesis is aimed at exploring the use of single-board computers, specifically the Raspberry Pi platform, to measure volumetric water content of soils or other porous media. We first investigated the different methods to condition and measure signal frequencies. Subsequently, we designed and fabricated a Hardware Attached on Top frequency counter add-on board for the Raspberry Pi based on the reciprocal frequency counting method, and found that this accurately and precisely measures frequency signals from water content reflectometers. We then built a dormant deploy-and-forget sensor system around this hardware. The system will be used at our research field site in Brunei Darussalam to measure volumetric water content of peat. Further work focuses on improvements to the encapsulation of the electronic hardware, and designing a multiplexer-controlled relay board to acquire signals from multiple reflectometers simultaneously.
by Mohamad Idaly Bin Ali.
M. Eng.
Hobring, Linus, and Philip Söderberg. "A sensor network for the Internet of Things Integrated with a bidirectional backend." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2702.
Full textAristotelous, Andreas. "Single Board Computer for Standardized Onboard Vehicle Network." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188774.
Full textDetta examensarbete genomfördes i samarbete med Keolis Sverige AB. Ett av företagets mål är att söka efter möjliga system som ersättning till dyra, specialanpassade hårdvaruenheter och istället övergå till billiga enkortsdatorer. Som ett testfall föreslås ett enkelt program, som genomför identifiering av föraren genom att skanna streckkoden på körkortet (personnummer). Huvudsyftet med projektet är att hitta en lämplig enkortsdator, att implementera den föreslagna föraridentifieringsapplikationen, skicka körkortsnumret/personnumret med tidsstämpel till en webbsida och testa funktionaliteten hos enkortsdator enligt testrutiner som beskrivs av ISO- och IEC-standarder för vägfordon. En parser som analyserar indatasträngen av en streckkodsläsare implementerades i programmeringsspråket C. Streckkodsläsaren skannar en streckkod eller en QR-kod och parsern returnerar innehållet i streckkoden på ASCIIteckenformat. Körkortsnumret samt tidsstämpel publiceras på en webbsida. En webbsida har skapats med Django Web Framework, som är en databasdriven webbplats. Varje gång körkortets streckkod skannas, skickas en POST http-begäransmetod som utförs varvid både körkort och tidsstämpel lagras i en SQLite databas. Varje gång en GET-begäran skickas, lagras data i SQLite databasen och presenteras på webbplatsen. Kommunikationen mellan enkortsdatorn Raspberry Pi och ett Django-ramverk uppnås med hjälp av cURL, som är ett kommandoradsverktyg med öppen källkod, och ett bibliotek för att överföra data med URL-syntax. Uppgifterna på webbplatsen manipuleras i backend. Miljötålighetsprovning med avseende på värme- och fuktighet har utförts för att utvärdera systemets funktionalitet under specifika miljöförhållanden. Testerna specificeras i ISO- och IEC-standarder för vägfordon. Dessa tester visade vilka arbetstemperaturer och vilken luftfuktighet som Raspberry Pi klarar. Det kan konstateras att Raspberry Pi kan användas i passagerarutrymmet, där temperaturen förväntas ligga under 100 Celsius, men inte i motorrummet där temperaturer högre än 100 Celsius kan förekomma. Vidare har Raspberry Pi visat sig fungera vid de nivåer av luftfuktighet som har förkommit i testerna. I de fall där systemet skall användas i miljöer med högre temperaturer bör en dyrare och mer robust inbyggd (embedded) Linux-enkortsdator väljas. Det framtida arbetet bör omfatta vibrations- och elstörningstester för att fullt ut säkerställa att systemet klarar gällande ISO- och IEC-standarder. Dessa typer av test är kostsamma och bör därför genomföras av fordonstillverkare eller andra aktörer som förväntas kunna bära en sådan kostnad.
Books on the topic "Single-board computers"
Meitiner, Philip, and Pradeeka Seneviratne. Beginning Data Science, IoT, and AI on Single Board Computers. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5766-1.
Full textKanagachidambaresan, G. R. Role of Single Board Computers (SBCs) in rapid IoT Prototyping. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72957-8.
Full textCarr, Joseph J. Single-board computer applications. Blue Ridge Summit, PA: TAB Books, 1986.
Find full textZyda, Michael J. A single board multiprocessor for real-time contour surface display generation. Monterey, California: Naval Postgraduate School, 1986.
Find full textFuller, Walter. Build your own computer: How to construct an 8088 based single board microcomputer. Albany, N.Y: Delmar Publishers, 1995.
Find full textMolloy, Derek. Exploring BeagleBone: Tools and Techniques for Building with Embedded Linux. Wiley, 2019.
Find full textMolloy, Derek. Exploring BeagleBone: Tools and Techniques for Building with Embedded Linux. Wiley & Sons, Incorporated, John, 2018.
Find full textExploring BeagleBone: Tools and Techniques for Building with Embedded Linux. Wiley, 2014.
Find full textMolloy, Derek. Exploring BeagleBone: Tools and Techniques for Building with Embedded Linux. Wiley & Sons, Incorporated, John, 2014.
Find full textBook chapters on the topic "Single-board computers"
Isikdag, Umit. "Internet of Things: Single-Board Computers." In Enhanced Building Information Models, 43–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21825-0_4.
Full textBilagi, Prakruti Mallayya, Vidyadhar S. Melkeri, and Gauri Kalnoor. "Data Communication Through Single-Board Computers." In Communication Software and Networks, 673–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5397-4_69.
Full textKanagachidambaresan, G. R., Kolla Bhanu Prakash, and V. Mahima. "Programming Tensor Flow with Single Board Computers." In Programming with TensorFlow, 145–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57077-4_12.
Full textPajankar, Ashwin. "Introduction to Single Board Computers and Raspberry Pi." In Raspberry Pi Image Processing Programming, 1–24. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2731-2_1.
Full textPajankar, Ashwin. "Introduction to Single Board Computers and Raspberry Pi." In Raspberry Pi Supercomputing and Scientific Programming, 1–25. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2878-4_1.
Full textRay, Santosh, and Ali Al Dhaheri. "Using Single Board Computers in University Education: A Case Study." In Advances in Intelligent Systems and Computing, 371–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56541-5_38.
Full textNetland, Øyvind, and Amund Skavhaug. "Dependable Cyber-Physical Systems with Redundant Consumer Single-Board Linux Computers." In Lecture Notes in Computer Science, 224–34. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24249-1_20.
Full textSrinivasan, Venkatesh, Sascha Meudt, and Friedhelm Schwenker. "Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers." In Lecture Notes in Computer Science, 59–70. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20984-1_6.
Full textMeitiner, Philip, and Pradeeka Seneviratne. "Introducing Data Science." In Beginning Data Science, IoT, and AI on Single Board Computers, 1–21. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5766-1_1.
Full textMeitiner, Philip, and Pradeeka Seneviratne. "Introduction to Machine Learning and Artificial Intelligence." In Beginning Data Science, IoT, and AI on Single Board Computers, 211–32. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5766-1_10.
Full textConference papers on the topic "Single-board computers"
Harle, Christian, Mike Barth, and Alexander Fay. "Process simulation on single-board computers." In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE, 2018. http://dx.doi.org/10.1109/coase.2018.8560426.
Full textNazir, Danish, Maryam Fizza, Athar Waseem, and Sheroz Khan. "Vehicle Detection on Embedded Single Board Computers." In 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2018. http://dx.doi.org/10.1109/iccce.2018.8539298.
Full textDonca, Ionut-Catalin, Cosmina Corches, Ovidiu Stan, and Liviu Miclea. "Autoscaled RabbitMQ Kubernetes Cluster on single-board computers." In 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). IEEE, 2020. http://dx.doi.org/10.1109/aqtr49680.2020.9129886.
Full textKlinger, Thomas, and Christian Madritsch. "Parallel computing for education using single-board computers." In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018. http://dx.doi.org/10.23919/mipro.2018.8400116.
Full textGigato Rodríguez, O. "2.2 Using Single Board Computers in FTI console." In ettc2020 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2020. http://dx.doi.org/10.5162/ettc2020/2.2.
Full textManore, Curtis, Pratheek Manjunath, and Dominic Larkin. "Performance of Single Board Computers for Vision Processing." In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2021. http://dx.doi.org/10.1109/ccwc51732.2021.9376035.
Full textSagkriotis, Stefanos, Christos Anagnostopoulos, and Dimitrios P. Pezaros. "Energy Usage Profiling for Virtualized Single Board Computer Clusters." In 2019 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2019. http://dx.doi.org/10.1109/iscc47284.2019.8969611.
Full textXie Limei, Chen Ying, and Kang Rui. "Failure Mode, Mechanism and Effect Analysis for Single Board Computers." In 2011 Prognostics and System Health Management Conference (PHM-2011 Shenzhen). IEEE, 2011. http://dx.doi.org/10.1109/phm.2011.5939507.
Full textMatthews, Suzanne J., and Aaron St Leger. "Leveraging single board computers for anomaly detection in the smart grid." In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON). IEEE, 2017. http://dx.doi.org/10.1109/uemcon.2017.8249031.
Full textAbrinia, Karen, Moosa Ayati, Hadi Niknam Shirvan, Amin Abazari, Ali Haddad Tabrizi, Mostafa Shahbazzadeh, Zeinab Maroufi, et al. "Advanced Driving Assistance System using distributed computation on single-board computers." In 2019 7th International Conference on Robotics and Mechatronics (ICRoM). IEEE, 2019. http://dx.doi.org/10.1109/icrom48714.2019.9071853.
Full textReports on the topic "Single-board computers"
Larkin, Ariana Kayla. Rad-Hard SBC: Radiation-Hardened Single-Board Computer. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1575755.
Full text