Relevant bibliographies by topics / Raspberry Pie

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Raspberry Pie'

Author: Grafiati
Published: 28 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Raspberry Pie"

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Zhou, Kai, and Youhong Yuan. "A Smart Ammunition Library Management System Based on Raspberry Pie." Procedia Computer Science 166 (2020): 165–69. http://dx.doi.org/10.1016/j.procs.2020.02.041.

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Sohn, Kyung-rak. "Smart Safety Monitoring System Using Inductive Power Line Communication Based Raspberry-Pie." Journal of Korean Institute of Communications and Information Sciences 42, no. 9 (September 30, 2017): 1850–56. http://dx.doi.org/10.7840/kics.2017.42.9.1850.

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Bae, Jae-Hwan. "Design and development of automatic navigation system using open source Arduino and Raspberry pie." Journal of Next-generation Convergence Information Services Technology 10, no. 3 (June 30, 2021): 327–34. http://dx.doi.org/10.29056/jncist.2021.06.09.

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Lee, NamGu, and HwangRae Kim. "A Study on the Secure One way Local Car Number Recognition System Using Raspberry Pie under Network Separation Environment." Journal of Digital Contents Society 19, no. 10 (October 31, 2018): 1909–17. http://dx.doi.org/10.9728/dcs.2018.19.10.1909.

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Irawan, Yuda, Refni Wahyuni, Muhardi -, Hendry Fonda, Muhammad Luthfi Hamzah, and Rometdo Muzawi. "Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 10 (May 25, 2021): 224. http://dx.doi.org/10.3991/ijim.v15i10.20707.

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The presence of large peatland in Riau, Indonesia, could cause air pollution due to peatland fires which causes the presence of thick smoke every year in Riau, dis-rupting human activities. In order to monitor the air quality, in this paper, the main advantage of the Internet of Things (IoT) is the ability to transfer data over the network without requiring human-to-human or human interaction to the com-puter used. In this paper, we propose an air quality monitor that can display web-based information to show the temperature and air humidity, and detects CO, CO2 gases, and alcohol in real time with the help of DHT11 and MQ135 sensors, Arduino Uno and Raspberry Pie. The results show our proposed system can successfully show each parameter of the air quality on the website and make suggestions about the overall air quality level. With our proposed system, we hope the government can respond faster to mitigate the bad air quality level and give information to public about the air quality level in a faster and more accurate way.
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Gladence, L. Mary, M. D. Gunasekhar, M. Sai Shankar, V. Maria Anu, and Jany Shabu. "Wireless Net-Work Based Gesture-Controlled Robot." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3534–38. http://dx.doi.org/10.1166/jctn.2020.9226.

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Much after more than many years of information gadgets advancement, numerous individuals despite everything discover the association with the PCs and robots an awkward encounter. Endeavours ought to be made to adjust PCs and robots to our regular methods for correspondence: discourse and non-verbal communication. The point of this work is to actualize an ongoing order framework through hand movement affirmation, using all around helpful gear and low costing sensor like a direct raspberry-pie and a USB webcam, so any customer can use it in organizations or at home. The reason of our philosophy is a fast division method to procure the hand movement from the whole picture which can oversee immense number of hand shapes against different establishments and lightning conditions, and an affirmation method that recognizes the hand pose for various control application. Administration robots legitimately associate with individuals, so finding an increasingly common and simple UI is of crucial significance. While prior works have concentrated principally on issues, for example, control and route in the earth, scarcely any automated frameworks are utilized with straightforward interfaces that can control the robot by trademark techniques. This energize response need. In this method, customer will handle the robot by using movements with palm. Here request indications were delivered for the movements using picture getting ready, where gaussian blur algorithm is used to reduce noise in the image, Canny-edge algorithm is used to detect fire out-layers and masking algorithm is used for Ro extraction.
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M, Karthikeyan, Gowrishankar KA, Rajith Sekar. G, E. Elamaran, and B. Sudhakar. "Multilevel Security System Using Raspberry Pi3." International Journal of Engineering & Technology 7, no. 2.24 (April 25, 2018): 259. http://dx.doi.org/10.14419/ijet.v7i2.24.12060.

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In this modern world security has become a major concern in securing a particular area such as banks, institution, temple premises etc. The existing system can be easily broken either by hacking the password or by duplicating entry cards. There are some security system which are very difficult to break but they are neither cost efficient nor easily affordable. We proposed a strong secure and affordable system using RFID, PIN lock and face recognition using raspberry pi3.
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Alhasnawi, Bilal Naji, and Basil H. Jasim. "SCADA Controlled Smart Home Using Raspberry Pi3." International Journal of Control and Automation 11, no. 8 (August 31, 2018): 71–84. http://dx.doi.org/10.14257/ijca.2018.11.8.07.

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Saip, Mohamed Ali, and Ahmad SufrilAzlan Mohamed. "Smart Health Monitoring and Controlling using Raspberry Pi3." International Innovative Research Journal of Engineering and Technology 4, no. 1 (September 30, 2018): 24–28. http://dx.doi.org/10.32595/iirjet.org/v4i1.2018.70.

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Herrera Aristizábal, Sebastián, Julio Alejandro Hincapié Correa, Luis Hernando Ríos González, and Sebastián López Flórez. "PID-fuzzy of DC motors using Raspberry PI." Visión electrónica 14, no. 1 (January 31, 2020): 86–101. http://dx.doi.org/10.14483/22484728.16361.

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This article describes the implementation of a fuzzy and a PID control system for the velocity and torque of a DC power motor, based in the variation of the armor current and its duty cycle. The control system has been applied to a medium power DC motor, using Python, and a low-cost embedded system - Raspberry Pi, this work is fundamental given the importance of implementing velocity and torque controllers that yield energy optimization and correct operation being achieved through the regulation of the duty cycle applied to the power of the DC motor.
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Dissertations / Theses on the topic "Raspberry Pie"

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Kadaňka, Jan. "Vizuální kontrola rozměrů součástí." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442860.

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This master thesis deals with the comparison of an industrial system for object recognition and measurement with an affordable camera on the Raspberry Pie platform. The theoretical part briefly describes several methods for measuring dimensions, which are commonly used in industry, along with a general description of technical equipment for image recording. The next section describes 3 industrial systems for image analysis. The practical part of the work deals with the design of the measuring stand, the description of the technical equipment, the implementation of measurements using both platforms and the subsequent evaluation.
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Hamberg, Dennis. "Design av PID-regulator baserad på kommersiell processormodul." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-15491.

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The idea to develop  a platform for a PID-controller came from the need to control the temperature in  an espresso machine in a more exact way than a thermostat could perform. In discussions with Syntronic AB the idea developed into PID-control for industrial use. Syntronic AB suggested that the platform should be based on a commercially available processor module to shorten the development time. The suggestion included the use of the microcomputer Raspberry Pi, which supports USB, HDMI, memory card and Ethernet. The work began with establishing a schedule for the 10 weeks of the projects duration, and after that a system specification listing all functions, implementation and limitations was made. When the foundation of the system specification was done, a preliminary system design took shape. Because of the Raspberry Pi´s lack of Analog-to-Digital converter, a circuit board containing Wheatstone bridges, differential amplifiers and a two channel Analog-to-Digital converter was fabricated. The choice of Operative System fell on Linux Raspbian Wheezy, a popular Linux distribution with good documentation. Embedded programming was made solely in C language, Nginx was used as server application making it possible to show real-time graph and receive parameter input from a webpage. The webpage was written in PHP and JavaScript for server and client side respectively. To evaluate the PID-controller it was mounted inside an espresso machine where it controlled the temperature of the boiler. Aiming for a short settling time, parameters for the PID-controller was produced by testing.
Idén till att utveckla en plattform för PID-reglering föddes ur tanken att kunna styra temperaturen i en espressomaskin på ett mer exakt sätt än vad en termostat förmår. Vid samtal med Syntronic AB utarbetades iden till att handla om PID-reglering för generella applikationer för industriellt bruk. Syntronic AB gav förslag om att basera reglersystemet på en kommersiellt tillgänglig processormodul för att minska utvecklingstiden. Förslaget innefattade mikrodatorn Raspberry Pi, som har stöd för USB, HDMI, minneskort och Ethernet.   Arbetet började med att upprätta en tidsplan för de tio veckor projektet pågick, sedan påbörjades en kravspecifikation som specificerar systemets alla funktioner, utförande och begränsningar. När grunderna i kravspecifikationen var klara togs en preliminär systemdesign fram. Eftersom nämnd mikrodator saknar en analog/digital-omvandlare konstruerades ett kretskort där kretsar för Wheatstone-bryggor, ADC, differentialförstärkare, ingångar och utgångar placerades. Val av operativsystem föll på Linux Raspbian Wheezy, då denna distribution var populär och hade en god dokumentation. All hårdvarunära programmering gjordes uteslutande i C-språk. Webbserver-applikationen Nginx installerades på mikrodatorn för att kunna visa grafer och kunna mata in parametrar via en hemsida över internet. Hemsidan skrevs i språken PHP och JavaScript för server- respektive klientsida. För att utvärdera PID-regulatorn, monterades den i en espressomaskin där den fick styra kokarens värmeelement. Parametrarna för PID-regulatorn testades fram för att om möjligt korta ner tiden tills dess att temperaturen blev stabil.
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Zgrebňák, Michal. "Využití systému Raspberry PI pro řízení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377000.

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The goal of this diploma thesis is to verify the practical applicability of the Raspberry Pi platform in control applications. The work consists of choosing a suitable operating system and implementing a discrete PID algorithm. An important part of the work was the Linux OS modification and compilation. Measurement has demonstrated the usability of the platform in control applications. The result of this work is a discreet PID controller implemented as a Linux kernel module. The solution also includes a web interface as a human-machine interface.
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Gonçalves, Pedro Miguel Jesus. "Real-time controller based on MATLAB and raspberry Pi." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21134.

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Mestrado em Engenharia Electrónica e Telecomunicações
Para esta dissertação é proposto o desenvolvimento de um controlador de tempo-real baseado na plataforma computacional Raspberry Pi, munidos de ADCs e DACs para interagir com sistemas físicos. Os algoritmos de controlo deverão poder ser desenvolvidos e testados em MATLAB, sendo “traduzidos”, de forma automática, para linguagem C capaz de ser compilada e executada na plataforma Raspberry Pi.
For this dissertation is proposed the development of a real-time controller based on the computer platform Raspberry Pi, fitted with ADCs and DACs to interact with physical systems. The control algorithms must be able to be developed and tested in MATLAB, then "translated" automatically to C programming language to be compiled and run on the Raspberry Pi platform.
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Banks, Gatenby Amanda. "Developing perspectives of knowledgeability through a pedagogy of expressibility with the Raspberry Pi." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/developing-perspectives-of-knowledgeability-through-a-pedagogy-of-expressibility-with-the-raspberry-pi(246a7889-d2a5-41ad-bd15-e04c0f36b529).html.

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The curriculum for ICT in UK schools was discontinued in September 2012 and replaced by a 'rebranded' subject of Computing, divided into three sub domains: Computer Science; Information Technology; and digital literacy. The latter was positioned as basic technical skills. There were concerns in the education community that the new curriculum promoted programming and computer science topics to the detriment of digital literacy and applied uses of technology. Much of the Computing education literature perpetuates the hegemony of the logical and abstract, and implies computational thinking and rationality are synonymous with criticality. During the same period, a maker culture was growing rapidly in the UK, and discourses around these activities promoted an entirely different notion of digital literacy, aligned with the wide body of literacy literature that focuses on notions of empowerment and criticality rather than basic functional skills. A digital maker tool called the Raspberry Pi was released with the intention of supporting the development of computer science and digital making competence, and thus sat at the boundary of the academic and maker communities. This thesis argues that developing 'criticality' is a vital component of Computing education and explores how learning activities with the Raspberry Pi might support development of 'criticality'. In setting the scene for the investigation, I will first explore the notions underpinning discourse around both computational and critical thinking and digital literacy, suggesting that the frictions would be best overcome by abandoning abstract constructs of knowledge and assumptions that it is possible to separate theory and practice. I show how the term 'critical' is itself problematic in the literature and I look to Wenger's social theory of learning to avoid the individualistic limits of Papert's constructionism, a popular learning theory in Computing education. Wenger's constructs of knowledgeability and competence help tell a different story of what it means to be a learner of the practice of Computing, both in learning for academic purposes and with intentions towards becoming a practitioner. In concert with learning citizenship, these constructs offer a more ethical framing of 'criticality'. Informed by this theoretical position, I suggest an original, exploratory implementation of Q methodology to explore learning with technology in school settings. I qualitatively compare 'before' and 'after' Q studies that represent perspectives at the individual and collective level, with reference to observations of classroom learning. The methodology facilitates a nuanced and complex investigation and the findings of the project suggest that where pupils are already predisposed to the subject, working with the Raspberry Pi develops a broader knowledgeability, but where there is no such predisposition, a pedagogy of expressibility influences how participation in Raspberry Pi learning activities may impact knowledgeability.
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Jiruška, Jiří. "Návrh a řízení samobalancujícího robotu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240791.

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This thesis deals with complete design and manufacturing of autonomous two wheeled self-balancing robot. The goal of this thesis is to maintain the robot in up-right position and to follow black line using camera. The robot is controlled using Raspberry Pi and driven by DC motors. This thesis includes the design and implementation of hardware and software parts. Subsequently there was created the dynamic model in Matlab/Simulink. Based on this model, the LQR and PID controller was designed.
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XU, BO-EN, and 徐柏恩. "Automatic Broadcast News System by Web Crawler Based on Raspberry Pi3." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/867n46.

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碩士
明志科技大學
電子工程系碩士班
106
Reading news is a daily habit for many people. With the arrival of the Internet, online news platforms have gradually replaced newspapers to become the media for people to read news. Most jobs today rely on computers. The eye pressure increases as people are getting busier and busier at work. In order not to cause more eye pressure because of reading a lot of words on the news, an automated news reader system was developed with this study. This system can retrieve news from online news platforms, read the news in speech, and furthermore help a user select the news with the content that interests him or her so that the user does not need to spend efforts on selecting news. The development platform used in this study is Raspberry Pi3. The web crawler automated news reader system was developed with the python programming language, which can retrieve news provided by online news platforms and categorize the news based on the SQLite database. The system records the usage and analyzes the results every time so that the news content provided next time can better meet the needs of the users. The system also designed a GUI (Graphical User Interface) for users to use the system. A user can mount the host in a wall, refrigerator, headboard, or so on to match his or her daily habits. This study is aimed at helping people gain access to the news and information that people are interested in, reduce eye strain, and improve the quality of daily life.
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ZIDA, SERGE ISMAEL, and 伊思樂. "Digital Clinical Health Parameters Monitoring Platform by Raspberry Pi3 for the Hospitals in Developing Countries." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sm8fru.

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碩士
逢甲大學
生醫資訊暨生醫工程碩士學位學程
106
The development of medical technologies is improving medicine practice and healthcare approach. Nevertheless, in developing countries, healthcare is a major issue mainly because of economic difficulties. This research proposes a real time monitoring platform to solve patient data digitalization and integration in health systems in order to improve vital signs data management. This platform is a support for health professionals to follow up and visualize differently patient’s vital signs. The web page of the platform allows staff to connect and control the vital signs wherever they are. The platform is designed as a set of three layers that connect and inter communicate: the medical equipment, the Raspberry Pi based medical gateway and the medical cloud server. By using cheap and reliable materials, open source software and resources, this low cost and low energy consumption system match to developing countries needs and realities.
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HUNG, HUNG-JEN, and 洪宏仁. "The Research of the Implementation Technology for the Smart Internet of Things with Raspberry Pi3." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4sc8rv.

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碩士
正修科技大學
資訊工程研究所
106
Because gas water heaters are easy to use and their costs are often lower than that of other types of heaters, therefore, they dominate the installation of water heaters at homes. However, frequent poisoning accidents are often caused by the ignorance of ventilation. The correct statement for gas poisoning should be: “Carbon monoxide poisoning”. Carbon monoxide (CO) is a colorless and odorless gas, and the symptoms after poisoning are not easy to be noticed, thus becoming an invisible killer hidden in the home environment. After inhaling too much carbon monoxide, people have symptoms of fatigue, dizziness, etc. They perhaps die in lethargy under the conditions of continuously poisoning and unconsciousness. It is the goal of this study to design a security device with the Raspberry Pi that can be combined with the Internet of Things and the sensors of carbon monoxide, temperature and humidity. When the device detects high temperature or high CO concentration. It enables ventilation fans to reduce the CO concentration and the high temperature. In addition, it triggers the voice module to notify the on-site personnel, and would send a help message to Twitter for rescuing the casualties of the family and to reduce the loss of life and property.
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Books on the topic "Raspberry Pie"

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Brown, Cris. National Raspberry Cream Pie Day : Note-Book and Sketchbook Glossy Cover Finish , a Unique GIFT - 6 X 9 Note-book: Happy 1st of August Gift for Kids and ... Choice for the National Raspberry Cream Pie Day. Independently Published, 2020.

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artist, journals. National Raspberry Cream Pie Day: Lined Notebook/Journal/120 Lined Pages/9-X-6-inch/ Soft Cover/ Matte Finish. Independently Published, 2020.

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Brakmić, Harris. Bitcoin and Lightning Network on Raspberry Pi: Running Nodes on Pi3, Pi4 and Pi Zero. Apress, 2019.

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Book chapters on the topic "Raspberry Pie"

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Gay, Warren. "The Raspberry Pi." In Advanced Raspberry Pi, 1–13. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3948-3_1.

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Goodwin, Steven. "Raspberry Pi." In Smart Home Automation with Linux and Raspberry Pi, 275–96. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5888-9_8.

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Follmann, Rüdiger. "Der Raspberry Pi." In Das Raspberry Pi Kompendium, 1–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58144-5_1.

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Gay, Warren W. "The Raspberry Pi." In Mastering the Raspberry Pi, 5–8. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0181-7_2.

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Gay, Warren W. "The Raspberry Pi." In Raspberry Pi Hardware Reference, 1–4. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0799-4_1.

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Membrey, Peter, and David Hows. "The Raspberry sPi." In Learn Raspberry Pi with Linux, 199–221. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4822-4_10.

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Pajankar, Ashwin. "Overclocking Raspberry Pi." In Raspberry Pi Supercomputing and Scientific Programming, 81–86. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2878-4_7.

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Cicolani, Jeff. "Raspberry Pi GPIO." In Beginning Robotics with Raspberry Pi and Arduino, 103–28. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3462-4_4.

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Cicolani, Jeff. "Raspberry Pi GPIO." In Beginning Robotics with Raspberry Pi and Arduino, 95–118. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6891-9_4.

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Horan, Brendan. "Hardware Overview." In Practical Raspberry Pi, 1–16. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4972-6_1.

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Conference papers on the topic "Raspberry Pie"

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Xie, Yongsheng, Hong Ding, and Fendong Huang. "Design of Temperature and Humidity Measuring System Based on Raspberry Pie." In AICS 2019: 2019 International Conference on Artificial Intelligence and Computer Science. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349341.3349477.

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Mao, Jiandong, Zhen Guo, Hongliang Geng, Bai Zhang, Zhen Cao, and Wenqi Niu. "Design of Visual Navigation System of Farmland Tracked Robot Based on Raspberry Pie." In 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019. http://dx.doi.org/10.1109/iciea.2019.8834077.

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Ibrahim, Saeed, Nawwaf Al Harmi, Ebrahim Al Naqbi, Farkhund Iqbal, Djedjiga Mouheb, and Omar Alfandi. "Remote Data Acquisition Using Raspberry Pi3." In 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2018. http://dx.doi.org/10.1109/ntms.2018.8328750.

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Alhasnawi, Bilal Naji, and Basil H. Jasim. "SCADA controlled smart home using Raspberry Pi3." In 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA). IEEE, 2018. http://dx.doi.org/10.1109/icasea.2018.8370946.

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Alabdulsalam, Batool A., Fatima A. Alsalman, Zahra H. Alshakhs, Hafiz F. Ahmad, and Azher Mughal. "Dynamic Video Wall Tile Creation Using Raspberry Pi3." In 2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS). IEEE, 2017. http://dx.doi.org/10.1109/isads.2017.45.

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Sathiyan, S. Paul, K. S. Glady Jennifer, S. Swathi, and G. Mariya Sharmini. "Blood group determination and classification using Raspberry Pi3." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MICROELECTRONICS, SIGNALS AND SYSTEMS 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0003932.

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Hussein, Naser Abbas, and Inas Al Mansoori. "Smart Door System for Home Security Using Raspberry pi3." In 2017 International Conference on Computer and Applications (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/comapp.2017.8079785.

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Faiazuddin, Syed, M. V. Lakshmaiah, K. Tanveer Alam, and M. Ravikiran. "IoT based Indoor Air Quality Monitoring system using Raspberry Pi4." In 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2020. http://dx.doi.org/10.1109/iceca49313.2020.9297442.

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Pester, Andreas, and Michael Schrittesser. "Object detection with Raspberry Pi3 and Movidius Neural Network Stick." In 2019 5th Experiment Conference (exp.at'19). IEEE, 2019. http://dx.doi.org/10.1109/expat.2019.8876583.

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Albert, Stefan, and Vasile Surducan. "Raspberry Pi camera with intervalometer used as crescograph." In 11TH INTERNATIONAL CONFERENCE OF PROCESSES IN ISOTOPES AND MOLECULES (PIM 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5018282.

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