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Academic literature on the topic 'Raspberry pi'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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Journal articles on the topic "Raspberry pi"

Andrews, C. "Easy as Pi [Raspberry Pi]." Engineering & Technology 8, no. 3 (April 1, 2013): 34–37. http://dx.doi.org/10.1049/et.2013.0302.

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Triyono, Agus. "IMPLEMENTASI RASPBERRY PI UNTUK APLIKASI SIGNATE BOARD JADWAL KULIAH BERBASIS WEB DENGAN SISTEM OPERASI LINUX." Sebatik 22, no. 2 (December 4, 2018): 102–6. http://dx.doi.org/10.46984/sebatik.v22i2.315.

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Raspberry adalah komputer dengan ukuran fisik yang minimalis dengan kemampuan seperti komputer biasa. Hal ini dapat dimanfaatkan untuk berbagai macam keperluan salah satunya adalah sebagai pemroses penampil jadwal kuliah dengan menggunakan TV layar lebar sebagai media penampil. Sistem terdiri dari dari Raspbery Pi sebagai web hosting, databse server sebagai storage, sebagai router untuk berkomunikasi dengan jaringan TCP/IP dan secure shell servaer sebagai akses untuk proses administrasi atau konfigurasi. Dengan ukuran RAM dan bentuk yang minimal Raspberry Pi dapar menopang operasi-operasi tersebut dengan maksimal. Dengan demikian Raspberry Pi akan diuji kemampuannya jika difungsikan sebagai web server, database server dan SSH server dengan kegunaan sistem informasi jadwal kuliah berbasih web.

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Bugelmüller, Fabian, Christoph Fornezzi, and Franz Parzer. "Raspberry Pi-Radio." e & i Elektrotechnik und Informationstechnik 135, no. 1 (January 23, 2018): 111–13. http://dx.doi.org/10.1007/s00502-017-0583-2.

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Panuntun, Rizal, Adian Fatchur Rochim, and Kurniawan Teguh Martono. "Perancangan Papan Informasi Digital Berbasis Web pada Raspberry pi." Jurnal Teknologi dan Sistem Komputer 3, no. 2 (April 20, 2015): 192. http://dx.doi.org/10.14710/jtsiskom.3.2.2015.192-197.

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Digital signage is information boards migrate from conventional forms to digital form. Form of digital signage used in computer by connecting to monitor to display the information. Digital notice board (digital signage) puts a digital-based information services in one direction. Many digital signage applications appear with the development of information technology. Unfortunately, if used as a digital signage devices, the implementation of existing digital signage applications using a desktop computer is unefficient. Signage applications that developed to be implemented on a single board computers such as raspberry-pi is still rare. In that case, there are any idea to implement a mini computer raspberry-pi as digital signage devices. Mini computer raspberry-Pi was chosen because of its small size and power saving. so it can be efficient and flexible than a regular desktop computer. Forming of this thesis includes designing web server using PHP and MySQL and raspberry pi configuration. The results of this research is to implement digital signage in raspbeery pi that produce a web-based digital information boards that efficient and power saving.

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Andreatos, Antonios ,., and Nikolaos Chatzipantou. "Using Nagios on a Raspberry Pi to Monitor Anetwork with Emphasis on Security." WSEAS TRANSACTIONS ON COMPUTERS 19 (January 29, 2021): 262–67. http://dx.doi.org/10.37394/23205.2020.19.31.

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The objective of this paper is to present an advanceduse of Nagios on Raspberry Pi to monitor a network. RaspberryPi is a tiny, low-cost yet powerful computer board with manyapplications. Network monitoring systems constantly monitor acomputer network for malfunctions and failures of servers andnotifies the network administrator in case of trouble. In ourcase, the free version of Nagios installed on a Raspberry Pi hasbeen used to monitor a network at minimal cost. Furthermore,two bash scripts automating the complex process of Nagiosinstallation on Raspberry Pi, as well as Linux host have beendeveloped. In order to elevate the security level of Networkmonitoring we have proposed a triple set of Raspberry Pi Nagiosservers, each one monitoring hosts and servers including theother two Nagios servers (triple modular redundancy). Finally,custom scripts providing useful information about monitoredhosts, such as their operating system, hardware and networking,as well as a special script examining and rating the security levelof Apache web servers, have been developed and incorporatedinto the network monitoring process.

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Budiarso, Zuly, and Eddy Nurraharjo. "SISTEM KENDALI TERPADU PERALATAN LISTRIK MENGGUNAKAN RASPBERRY PI BERBASIS JARINGAN KOMPUTER TOPOLOGI STAR." Dinamik 23, no. 1 (June 17, 2019): 48–56. http://dx.doi.org/10.35315/dinamik.v23i1.7177.

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Perkembangan teknologi sistem dari sistem analog menjadi sistem digital merupakan salah satu hal yang menjadi awal berkembangnya sistem kendali didgital. Dengan berubahnya sistem kendali analog menjadi sistem kendali digital maka jenis perangkat yang digunakan untuk mengimplementasikan sistem kendali juga berbahjuga berubah. Mikrokontroler adalah salah perangkat yang berfungsi sebagai perangkat utama dalam sistem kendali digital. Dengan mikrokontroler perancangan sistem kendali dapat dilakukan lebih efisien. Kemampuan mikrokontroler dalam sistem kendali dilengkapi dengan berbagai fitur penunjang, diantaranya prosessor, memory, A/D converter, analog/digital input/output dan beberapa kemampuan lain untuk mengolah data digital maupun analog. Seiring dengan perkembangan teknologi di bidang komputer, perangkat sistem kendali juga semakin berkembang dari mikrokokontroler beralih ke komputer. Hal ini disebabkan kebutuhan perangkat yang dapat mendukung fungsi sistem kendali itu sendiri. Sistem kendali dituntut untuk dapat menyelesaikan berbagai permasalahan yang cukup rumit. Untuk dapat memenuhi kebutuhan sesuai dengan tuntutan keadaan maka personal komputer merupakan perangkat alternatif yang dapat digunakan sebagai pengganti mikrokontroler. Raspberry Pi yang yang merpakan sebuah mini komputer Single Board Circuit merupakan pilihan yang dapat dilakukan auntuk menyelesaikan masalah sistem kendali. Secara umum spesifikasi teknis raspberry pi dapat mendukung sebuah sistem kendali dengan tingkat kesulitan tinggi. Fitur-fitur yang ada pada raspberry pi seperti memori, prosesor sudah dapat menyelesaikan masalah sistem kontrol. Perangkat I/O seperti USB, HDMI, dan kebutuhan daya yang kecil merupakan kelebihan dari raspberry. Selain itu raspberry juga dilengkapi dengan perangkat untuk komunikasis, yaitu Bluetooth dan wifi. Dengan demikian dapat dikatakan bahwa raspberry merupakan mini komputer yang dapat digunakan dalam sistem kendali. Dengan menggunakan sebuah program, raspberry dapat digunakan untuk mengendalikan perangkat listrik seperti mematikan dan menghidupkan lampu dari jarak jauh, membuka dan menutup pintu, mengendalikan kamera dan berbagai macam peralatan listrik. Adanya bluetooth dan wifi memungkinkan raspberry dapat dioperasikan dari jarak jauh melalui jaringan internet atau jaringan komputer lokal. Selain menggunakan perangkat nirkabel, raspbery juga dilengkapi dengan LAN Card. Sehingga untuk kemunikasi dengan raspbery dapat dilakukan melalui jaringan lokal. Dengan menggabungkan beberapa raspbery dalam sebuah jaringan lokal (LAN) terbentuklah sistem kendali berbasis jaringan komputer.

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Dharmateja, R. "Raspberry Pi Touchscreen Tablet (Pi-Pad)." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 2 (2015): 600–605. http://dx.doi.org/10.17762/ijritcc2321-8169.150237.

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KANDA, Mutsuki, Kenichi TOKUDA, Masatsugu IRIBE, Shigeaki MORITA, Akiko SAITO, Shuichi YAGAMI, and Ryo KOBORI. "Evaluation of raspberry harvesting by Raspberry-Pi." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 1A1—C02. http://dx.doi.org/10.1299/jsmermd.2017.1a1-c02.

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KANDA, Mutsuki, Kenichi TOKUDA, Masatsugu IRIBE, Shigeaki MORITA, Akiko SAITO, Shuichi YAGAMI, and Ryo KOBORI. "Evaluation of raspberry harvesting by Raspberry-Pi." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 1A1—A01. http://dx.doi.org/10.1299/jsmermd.2018.1a1-a01.

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TOKUDA, Kenichi, Mutsuki KANDA, Masatsugu IRIBE, Shigeaki MORITA, Akiko SAITO, Shuichi YAGAMI, and Ryo KOBORI. "Evaluation of raspberry harvesting by Raspberry-Pi." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (2019): 1A1—D02. http://dx.doi.org/10.1299/jsmermd.2019.1a1-d02.

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Dissertations / Theses on the topic "Raspberry pi"

Sund, Roger. "Videokonferens med Raspberry Pi." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-25735.

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This report deals with the possibilities of creating a system for a point-to-point audio- and video communication link, using cheap and simple hardware. The system will be using a local area network based on Ethernet and IP. This work was focused around the Raspberry Pi and its possibilities and limitations, regarding this type of application. The usage of a Raspberry Pi was also compared to using a conventional mini-PC for the same purpose. The overall goal was to achieve a system for point to point audio- and video communication of a very high quality, preferrably HD quality. The users of the system are supposed to get a feeling of live communication. To achieve this a very large monitor was used at each node. The monitor, microphone, camera and speaker are to be integrated into a frame that is hung on a wall in order to resemble a window. When you want to talk to somebody at the other node, you just walk up to this window and call upon the person you want to speak to, since the communications link is always active. This system could be used for distance meetings, distance lectures and in other similar situations. The results indicated that the Raspberry Pi was very capable of handling either transmission or reception of HD quality signals, but for full duplex communication a setup using two separate Raspberry Pis per node is recommended – one for transmission and one for reception. Another solution would be to choose a more powerful hardware platform,for instance a mini-PC, instead of the Raspberry Pi.

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Källén, Patrik, and Simon Metsi. "Robust kommunikation med Raspberry Pi." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-47606.

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Softhouse har utvecklat prototyper för att hämta data från och styra produkter ute i industrin medhjälp av Raspberry Pi. Tidigare har anställda på företag åkt ut i fält och hämtat data för handvilket är väldigt ineffektivt och dyrt för företagen. För att använda Raspberry Pi i liknandeprojekt och för att stärka de nuvarande systemen så behövs ett kommunikationsprotokoll för attsäkert överföra data till en central server. En viktig del är att insamlad data på Raspberry Pi intefår gå förlorad av oväntade anledningar, till exempel strömavbrott. Kapaciteten av Raspberry Piskulle även undersökas för att veta om den klarar av att köra i flera år.Som grund användes TLS1.2 med AES kryptering över en TCP-uppkoppling för att stärkasäkerheten. För att stoppa data från att gå förlorad vid oväntade händelser så läses en bit in i tagetfrån hårddisken på Raspberry Pi och inget tas bort förrän servern svarat att det tagits emot ‘ok’. För att se om Raspberry Pi skulle kunna köras ute i fält gjorde vi en del olika tester på till exempel hårddisk och temperatur.
Softhouse has developed prototypes in order to collect data from products and control them withthe Raspberry Pi. Companies have previously sent employees to manually collect data in thefields which is very inefficient and expensive for the companies. In order to use the Raspberry Piin other projects and strengthen their current systems, a communications protocol is needed tosafely transmit data to a central server. One important aspect is that collected data on theRaspberry Pi cannot be lost for unexpected reasons such as a power outage. The capacity of theRaspberry Pi needed to be reviewed in order to know if it would run for several years.As the basis we used TLS1.2 with AES encryption over a TCP-connection to strengthen thesafety. Parts of data are read from the Raspberry Pi, transmitted to the server and removed onceit gets a ‘ok’ from the server. This stops data from getting lost during unexpected events.Tests were run on the Raspberry Pi to see if it could run out in the field. For example the harddrive and temperature of the Raspberry Pi was tested.

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Heik, Andreas, and Ralph Sontag. "Intelligente Himbeere - Der Raspberry Pi." Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-113223.

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Aus der Vision, Computertechnik für den schmalen Geldbeutel technisch interessierten Jugendlichen verfügbar zu machen entstand ein kreditkartengroßer Einplatinencomputer, der Raspberry Pi. Wir möchten den Raspi im Vortrag etwas näher vorstellen und in einer kleinen Demonstration Anregungen für eigene Projekte geben. Gespannt sind wir auch auf Projekte, welche die Zuhörer bereits mit dem Raspberry Pi umgesetzt haben.

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Miček, Adam. "Raspberry Pi: inteligentní dveřní kukátko." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-416613.

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The goal of this diploma thesis is to create the functional prototype of intelligent peephole (video doorman) on Raspberry Pi 3B+ platform. It will support face recognition of the people, alternatively authorization by QR code and the record of the situations in form of picture, video, and text. Furthermore, it will allow remote control from Android application with possibility to see live stream of Raspberry Pi’s video in this application. Creation of the project is preceded by brief introduction of Raspberry Pi platform, its alternatives and process of face recognition. Python programming language was primarily used for software development on Raspberry Pi platform. Two approaches were used for image processing, direct processing on Raspberry Pi and on more powerful computer. This work describes use of various modern libraries, platforms, and frameworks, used during the creation of the project, with goal to provide beginners in this field insight into this technology, way of its use, and offer starting point for further work.

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Tesanovic, Manuela. "Prestanda och funktionalitetstest av Raspberry Pi." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133978.

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Användare ställer hela tiden högre krav på att webbläsare ska vara snabba och tillgängliga oavsett på vilken plattform de används på. Detta gäller även för testbäddens projekt där Raspberry Pi testades för framtida användning som en tunn klient. Arbetet är en fallstudie som undersöker prestanda och funktionaliteten hos Raspberry Pi 2 för organisationen Region Östergötland, Testbädden. Valet av testverktyg och avgränsningar i varje steg är grundade på funktionaliteten som är en del av ISO 9126 standard. Arbetet undersöker webbläsare som kan användas på OS Raspbian Wheezy samt Ubuntu mate. Genom en förundersökning av webbläsare utfördes avgränsningar med hjälp av webstandardtesterna Acid3 och HTML5. Av 33 möjliga webbläsare återstod fem som uppfyllde kraven för vidare undersökning. De kvarstående webbläsare genomgick benchmarktester och därefter togs en genomsnittlig sidladdningstid för varje webbläsare samt CPU och RAM användning i realtid. Resultatet visade att endast två av fem webbläsare klarade benchmarktesterna och utav dessa två var det webbläsaren Epiphany som presterade bäst utifrån sidladdningstid, CPU och minnesanvändning. Raspberry Pi överklockades för att undersöka om samma resultat skulle fås i denna studie som i en tidigare vetenskaplig studie. Resultatet visade att sidladdningstiden minskade men att CPU och RAM användningen ökade. Alla testverktyg genererade olika resultat och ett verktyg eller siffra räcker inte till att undersöka prestandan och funktionaliteten. Valet av den mest kompatibla webbläsaren för Raspberry Pi beror på användaren och vad den ska användas till.

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Palmqvist, Anton. "Lansen Alarm System with Raspberry Pi." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-26889.

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Syftet med projektet är att ta fram en prototyp av en alternativ centralenhet till Lansen SystemsAB:s larmsystem. Prototypen skall möjliggöraen vidareutveckling av systemet,internetanslutning och låta sig styras från ettanvändargränssnitt. Hårdvaran som haranväntsi projektet är en Raspberry Pi vilken är en välkänd ”minidator” som skall tillåta vidareutveckling.Med hjälp utav en avUSB-portarna på Raspberry Pi:n kopplas Lansens radiomodul in och används för att styra larmsystemets olika enheter över ett radioprotokoll. Kommunikationen mellan Raspberry Pi:n och radiomodulen skermed UART och följersamma protokoll som den microprocessor somi vanliga fall styr systemet.För att kunna styra larmsystemet från en mobilapplikation krävs det att information om systemet lagras. Detta görs meden webbserversom skickardata över Internet till användargränssnittet.
The purpose of this project was to develop a prototype as an alternative central unit in Lansen Systems AB alarm system. The prototype shall enable internet access and be controlled from an android application. Since it’s only a prototype that is developedin this project it must be possible to advance the prototype into a complete product.The hardware that will be used in this project is a Raspberry Pi which is a well knowncomputer by the size of a credit card.With one of the USB ports the Raspberry Pi will be connected to the Lansen radiomodule and they will communicate with eachother with UART. The radiomodule will be used to communicate with all the other units in the alarm system over a radio protocol.To make it possible to control the alarm system from an android application, information about the system need to be stored into databases. This will be done in a web server which will send and receive data to the android application and the alarm system over Internet.

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Dye, Brian. "Distributed computing with the Raspberry Pi." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17612.

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Master of Science
Department of Computing and Information Sciences
Mitchell Neilsen
The Raspberry Pi is a versatile computer for its size and cost. The research done in this project will explore how well the Raspberry Pi performs in a clustered environment. Using the Pi as the components of a Beowulf cluster will produce an inexpensive and small cluster. The research includes constructing the cluster as well as running a computationally intensive program called OpenFOAM. The Pi cluster's performance will be measured using the High Performance Linpack benchmark. The Raspberry Pi is already used for basic computer science education and in a cluster can also be used to promote more advanced concepts such as parallel programming and high performance computing. The inexpensive cost of the cluster combined with its compact sizing would make a viable alternative for educational facilities that don't own, or can't spare, their own production clusters for educational use. This also could see use with researchers running computationally intensive programs locally on a personal cluster. The cluster produced was an eight node Pi cluster that generates up to 2.365 GFLOPS.

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Lundström, Petter, and Josef Toma. "Raspberry pi to backplane through SGMII." Thesis, Linköpings universitet, Fysik och elektroteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150129.

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This thesis explores a method on how communication with a backplane through SGMII via a Raspberry Pi Compute Module 3 is achieved. The thesis focuses on the steps required to design a carrier board that can mount the module and incorporate a bridge between SGMII and USB. The different steps required to achieve this were to find the components, design a power solution, draw the schematics and eventually designing the PCB.

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Matula, Vladimír. "Auto počítač založený na Raspberry Pi." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413074.

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The main goal of this diploma thesis is to investigate the smart cars field together with the technologies linked closely to it. Further, the thesis offers an overview of options to extend the vehicle capabilities with the car computer created with the Raspberry Pi Zero W. The thesis provides hands-on experience and is stuctured into two parts. The first, theoretical section focuses on Internet of Things and Machine to Machine communication. It also describes the currently available smart car solutions on the market, their pros and cons. The practical part of this thesis describes design and creation of a smart computer based on Raspberry Pi Zero W with draft of self-made security system from vehicle containing a motion sensor and a camera. It also includes a development and integration steps with a mobile application capable of viewing the static information regarding the car state, such as Rotations per minute. Vehicle speed, etc. The created system also has the capability of informing the user about it's current location on request.

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Hirš, David. "Systém prevence průniků využívající Raspberry Pi." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442389.

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The number of discovered vulnerabilities rapidly increases. For example in 2019 there were discovered 20 362 vulnerabilities. The probability of cyber-attacks realization is high. Therefore it is necessary to propose and implement automated and low-cost Intrusion Prevention or Intrusion Detection Systems (IPS/IDS). This implemetation can focus on home use or small corporate networks. The main goal of the system is to detect or mitigate cyber-attack impact as fast as possible. The master's thesis proposes IPS/IDS based on Raspberry Pi that can detect and prevent various cyber-attacks. Contents of this thesis are focus on description of cyber-attacks based on ISO/OSI model's Link and Network layers. Then there is description of IPS/IDS systems and theirs open source representatives. The practical part is focus on experimental workspace, hardware consumption of choosen detection systems, cyber-attacks scenarios and own implementation of detection program. Detection program is based on these chosen systems and puts them together to be easily manageable.

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Books on the topic "Raspberry pi"

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

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Horan, Brendan. Practical Raspberry Pi. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4972-6.

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Molloy, Derek. Exploring Raspberry Pi. Indianapolis, IN: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119211051.

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Horan, Brendan. Practical Raspberry Pi. Berkeley, CA: Apress, 2013.

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Shovic, John C. Raspberry Pi IoT Projects. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6911-4.

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Wu, Elaine, and Dmitry Maslov. Raspberry Pi Retail Applications. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7951-9.

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Frauenfelder, Mark, and Ryan Bates. Raspberry Pi Retro Gaming. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5153-9.

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Dembowski, Klaus. Raspberry Pi – Das Handbuch. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-03167-1.

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Shovic, John C. Raspberry Pi IoT Projects. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1377-3.

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Gay, Warren. Custom Raspberry Pi Interfaces. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2406-9.

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Book chapters on the topic "Raspberry pi"

Nusairat, Joseph Faisal. "Raspberry Pi." In Rust for the IoT, 391–427. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5860-6_8.

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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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Newmarch, Jan. "Raspberry Pi." In Linux Sound Programming, 537–45. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2496-0_31.

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Bräunl, Thomas. "Raspberry Pi." In Embedded Robotics, 67–83. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-0804-9_4.

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Gay, Warren. "Pi Camera." In Advanced Raspberry Pi, 493–99. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3948-3_26.

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Coburn, Joseph. "Raspberry Pi History." In Build Your Own Car Dashboard with a Raspberry Pi, 1–12. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6080-7_1.

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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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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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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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Conference papers on the topic "Raspberry pi"

DE NIGRIS VASCONCELLOS, PEDRO, and LUCAS FRANCISCO WANNER. "Caracterização do Raspberry Pi." In XXIV Congresso de Iniciação Científica da UNICAMP - 2016. Campinas - SP, Brazil: Galoa, 2016. http://dx.doi.org/10.19146/pibic-2016-51998.

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Khunteta, Raghav, Sambhav Bhansali, D. Marshiana, Rika Mallika, and Amarja Pote. "Armbot Using Raspberry-Pi." In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). IEEE, 2024. http://dx.doi.org/10.1109/iconstem60960.2024.10568860.

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Katkar, Gowthami Vinod, A. Mary Posonia, D. Ushanandini, K. Abirami, and B. Ankayarkanni. "Google pi using raspberry pi for visually impaired." In 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT). IEEE, 2024. http://dx.doi.org/10.1109/aiiot58432.2024.10574549.

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Anusha, B., K. Abhijeet, G. Likitha, K. Deekshith, and K. Srinivas. "Target tracking using Raspberry Pi." In PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0116582.

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Karthikeyan, S., B. Nanda Dharani, M. Vijayakarthick, T. Ravi, and R. Narmadha. "Raspberry PI Based Smart Projector." In 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2020. http://dx.doi.org/10.1109/icpects49113.2020.9336997.

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CSÓKA, Márk. "RASPBERRY PI ALKALMAZÁSA AZ INFORMATIKAOKTATÁSBAN." In 12th International Conference of J. Selye University. J. Selye University, Komárno, Slovakia, 2020. http://dx.doi.org/10.36007/3778.2020.213.

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Dalal, Sucheta, and Preet Jain. "Print server using raspberry Pi." In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016. http://dx.doi.org/10.1109/rteict.2016.7808172.

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Murugan, K. H. Shakthi, V. Jacintha, and S. Agnes Shifani. "Security system using raspberry Pi." In 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM). IEEE, 2017. http://dx.doi.org/10.1109/iconstem.2017.8261326.

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Bhardwaj, Akashdeep, Luxmi Sapra, and Varun Sapra. "Unique Raspberry Pi-based Honeypot." In 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET). IEEE, 2023. http://dx.doi.org/10.1109/icraset59632.2023.10420242.

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Vivek, B., S. Maheswaran, P. Keerthana, S. Sathesh, S. Bringeraj, R. Akshaya Sri, and S. Asma Sulthana. "Low Cost Raspberry Pi Oscilloscope." In 2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW). IEEE, 2018. http://dx.doi.org/10.1109/i2c2sw45816.2018.8997158.

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Reports on the topic "Raspberry pi"

Corley, Charles, Heather Quinn, and Earl Swartzlander. Accelerated Nuclear Radiation Effects on the Raspberry Pi 3B+ and Pi 4. Office of Scientific and Technical Information (OSTI), July 2023. http://dx.doi.org/10.2172/1992220.

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Williams, Michael. A Risk Assessment on Raspberry PI using NIST Standards. Ames (Iowa): Iowa State University, January 2018. http://dx.doi.org/10.31274/cc-20240624-80.

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Lapid, Marie Francine Therese Ruiz, Trent David Steen, and Christoph Victor Schild. Troubleshooting and Analyzing Network Booting Challenges Using a Raspberry Pi Testbed. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1463573.

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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, August 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning System (GPS) data. The research was conducted as a case study of the Streamline Bus System in Bozeman, Montana. To evaluate the reliability of the data collected with the Raspberry Pi computers, the study conducted technology-based estimation of ridership, OD flows, wait time, and travel time for a comparison with ground truth data (passenger surveys, manual data counts, and bus travel times). This study introduced the use of a wireless Wi-Fi scanning device for transit data collection, called a Smart Station. It combines an innovative set of hardware and software to create a non-intrusive and passive data collection mechanism. Through the field testing and comparison evaluation with ground truth data, the Smart Station produced accurate estimates of ridership, origin-destination characteristics, wait times, and travel times. Ridership data has traditionally been collected through a combination of manual surveys and Automatic Passenger Counter (APC) systems, which can be time-consuming and expensive, with limited capabilities to produce real-time data. The Smart Station shows promise as an accurate and cost-effective alternative. The advantages of using Smart Station over traditional data collection methods include the following: (1) Wireless, automated data collection and retrieval, (2) Real-time observation of passenger behavior, (3) Negligible maintenance after programming and installing the hardware, (4) Low costs of hardware, software, and installation, and (5) Simple and short programming and installation time. If further validated through additional research and development, the device could help transit systems facilitate data collection for route optimization, trip planning tools, and traveler information systems.

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Dhillon, Nathan, Andrew Hannay, and Robin Workman. Next Generation Monitoring Systems. TRL, July 2022. http://dx.doi.org/10.58446/npwb2214.

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Survey vehicles, operating at traffic-speed, are deployed across the road network to assess the condition of road pavements. These apply high-quality (and high cost) equipment to measure condition. However, significant progress has been made in the development of low-cost sensors and data collection units that may have potential for application in highways. This project has aimed to understand the capabilities of this emerging technology. The project explores the technologies and combines a Raspberry-Pi based Data Acquisition System, compact camera, GPS, inertial measurement system, Wifi and 4G GSM comms and a low-cost Solid State LiDAR into a prototype device. The total cost is a few hundred pounds. Trials characterise the prototype system. Although the solid-state LiDAR sensors are not found to be robust in this application, the remaining sensors show strong potential for use in road condition assessment. A wider trial of the prototype system in a potential application – the measurement of roughness (IRI) on developing world road networks – was carried out in El Salvador. The prototype shows comparable performance with alternatives, combined with higher levels of practicality and capability, and the potential for higher levels of consistency through a common low-cost measurement platform. In the light of this research, it is felt that, following refinements to the prototype, the initial application for the device would be for condition surveys in developing world nations.

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