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Journal articles on the topic 'Raspberri Pi'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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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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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3

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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4

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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5

Tinoco Varela, David, Fernando Gudiño Peñaloza, and Carolina Jeanette Villaseñor Rodelas. "Characterized Bioelectric Signals by Means of Neural Networks and Wavelets to Remotely Control a Human-Machine Interface." Sensors 19, no. 8 (April 24, 2019): 1923. http://dx.doi.org/10.3390/s19081923.

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Everyday, people interact with different types of human machine interfaces, and the use of them is increasing, thus, it is necessary to design interfaces which are capable of responding in an intelligent, natural, inexpensive, and accessible way, regardless of social, cultural, economic, or physical features of a user. In this sense, it has been sought out the development of small interfaces to avoid any type of user annoyance. In this paper, bioelectric signals have been analyzed and characterized in order to propose a more natural human-machine interaction system. The proposed scheme is controlled by electromyographic signals that a person can create through arm movements. Such arm signals have been analyzed and characterized by a back-propagation neural network, and by a wavelet analysis, in this way control commands were obtained from such arm electromyographic signals. The developed interface, uses Extensible Messaging and Presence Protocol (XMPP) to send control commands remotely. In the experiment, it manipulated a vehicle that was approximately 52 km away from the user, with which it can be showed that a characterized electromyographic signal can be sufficient for controlling embedded devices such as a Raspberri Pi, and in this way we can use the neural network and the wavelet analysis to generate control words which can be used inside the Internet of Things too. A Tiva-C board has been used to acquire data instead of more popular development boards, with an adequate response. One of the most important aspects related to the proposed interface is that it can be used by almost anyone, including people with different abilities and even illiterate people. Due to the existence of individual efforts to characterize different types of bioelectric signals, we propose the generation of free access Bioelectric Control Dictionary, to define and consult each characterized biosignal.

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6

Jambagi, Mallesh S., Basavaraj H, and Gagan L. Prateek R. Prabhu. "Smart Speaker using Raspberry Pi." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 1682–85. http://dx.doi.org/10.31142/ijtsrd14440.

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7

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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8

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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9

Dhuri, Deepak, Aditya Gaushal, and Roshan Sawant Tanaji Renose Mrs Mansi Kolwankar. "Speaking Hand using Raspberry Pi 3." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 768–70. http://dx.doi.org/10.31142/ijtsrd11047.

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10

S, Pradeep Kumar M., Dr K. Suresh, and Indumati T. Kishor kumar R. "Smart Attendance System using Raspberry Pi." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (August 31, 2017): 514–18. http://dx.doi.org/10.31142/ijtsrd2306.

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11

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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12

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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14

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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15

Pallavi, A. Siri, K. Varun Kumar, and T. Vamsi Krishna S. Sandeep T. S. Jyothi Lakshmi. "Drunk and Drive Detection using Raspberry Pi." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1676–78. http://dx.doi.org/10.31142/ijtsrd23251.

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16

Severance, Charles. "Eben Upton: Raspberry Pi." Computer 46, no. 10 (October 2013): 14–16. http://dx.doi.org/10.1109/mc.2013.349.

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17

Himanth, Y., B. V. Pavan Kumar, and M. Lalitha Bhavani. "Density Based Traffic Lightcontrol System using Raspberry Pi." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1281–85. http://dx.doi.org/10.31142/ijtsrd23293.

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18

A.P, Jaya Krishna. "Surveillance of Farms from Birds Using Raspberry Pi." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 578–85. http://dx.doi.org/10.5373/jardcs/v12sp7/20202143.

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19

KAINZ, Ondrej, Ján DROZD, Miroslav MICHALKO, and František JAKAB. "RASPBERRY PI-BASED ACCESS CONTROL USING FACE RECOGNITION." Acta Electrotechnica et Informatica 19, no. 4 (January 13, 2020): 15–20. http://dx.doi.org/10.15546/aeei-2019-0025.

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20

Adhiwibowo, Whisnumurti, and Baik Catur Ardiansyah. "Rancang Bangun Wireless Router Menggunakan Raspberry PI." Jurnal Pengembangan Rekayasa dan Teknologi 14, no. 2 (January 21, 2019): 50. http://dx.doi.org/10.26623/jprt.v14i2.1227.

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Raspberry Pi is a credit card-sized SBC (Single Board Computer) developed by the Raspberry Pi Foundation in the UK with the aim of teaching basic computer science at school. Raspberry Pi can be used for various things including wireless. In this study will be carried out the implementation of wireless routers by using Raspberry Pi as the main media. This is done to implement the use of Raspberry Pi devices as an alternative to Wireless Routers or in the world of networking. The Wireless Router implementation method used is the PPDIOO network cycle method owned by CISCO which has the stages of Prepare, Plan, Design, Implement, Operate, and Optimize. Wireless Router implementation uses several devices between Edimax - Wireless 802.11b / g / n usb wireless adapter as a device or Broadcast Wireless Raspberry Pi media as the main function of the device and system owned by the Wireless Router. Wireless Routers using Raspberry Pi become one of the best solutions for the needs of adding new wireless network segments if you see in terms of limited funds and existing devices. An administrator will easily build a new network using Raspberry Pi.

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21

Kadam, Dr Deepak B. "Security System using Raspberry Pi." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 2261–65. http://dx.doi.org/10.22214/ijraset.2019.6379.

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22

V Madhu, Akshaya. "Life Saver Using Raspberry Pi." International Journal of Networks and Systems 8, no. 3 (May 15, 2019): 68–70. http://dx.doi.org/10.30534/ijns/2019/17832019.

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B V, Pallavi. "Smart Classroom using Raspberry pi." International Journal for Research in Applied Science and Engineering Technology 6, no. 7 (July 31, 2018): 467–70. http://dx.doi.org/10.22214/ijraset.2018.7067.

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24

Sunny, Ann Maria, Ann Paul, Ann Susan Jose, Cuckoo Anitha Joseph, and Anu Rani Philip. "Health Assessment using Raspberry Pi." IJARCCE 6, no. 3 (March 30, 2017): 846–47. http://dx.doi.org/10.17148/ijarcce.2017.63198.

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25

Szabłowski, Stanisław. "Raspberry Pi jako środowisko edukacyjne." Dydaktyka Informatyki 13 (2018): 141–46. http://dx.doi.org/10.15584/di.2018.13.18.

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Prasanna, P. Sabin, B. Bernadine Infenta, S. Maria Keerthana, and Sherril Sophie Maria Vincent. "Book Reader using Raspberry Pi." International Journal of Computer Sciences and Engineering 06, no. 03 (April 30, 2018): 177–83. http://dx.doi.org/10.26438/ijcse/v6si3.177183.

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Semwal, Tushar, and Shivashankar Nair. "AgPi: Agents on Raspberry Pi." Electronics 5, no. 4 (October 19, 2016): 72. http://dx.doi.org/10.3390/electronics5040072.

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28

Bysani, Chaitanya, T. S. Rama Krishna Prasad, and Sridhar Chundi. "Raspberry Pi for Commercial Applications." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 2 (October 10, 2013): 2250–55. http://dx.doi.org/10.24297/ijct.v11i2.1179.

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The objective of this paper is to create a low cost commercial off the shelf data analyzer for improving automotive safety and design a user interface infotainment system by using Raspberry Pi.Â In this paper we propose Raspberry pi based application that monitor the vehicle ECUs through an OBD-II(On Board Diagnostics) interface, perform Diagnostics with DTCs (Diagnostics trouble codes). Infotainment system having functions such as audio and video playback, games, internet connectivity through either USB Wi-Fi dongles or USB Modems and dashboard camera operation. Raspberry Pi will transmit the data over Wi-Fi in real-time in xml format over Wi-Fi on a DHCP connected network.

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Gheorghe, A. C., and M. S. Chiran. "Raspberry Pi Based Weather Station." Scientific Bulletin of Electrical Engineering Faculty 18, no. 2 (October 1, 2018): 63–66. http://dx.doi.org/10.1515/sbeef-2017-0037.

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AbstractThe paper proposes the development of a weather station made up from a Raspberry Pi 3 and the Sense Hat shield. The shield used in this application has sensors for temperature, humidity and pressure. The weather station can connect to the internet wirelessly or with a standard UTP (Unshielded twisted pair) connection, this connection gives us the ability to take part in a scientific community for the sole purpose to monitor the weather all around the world. The program for the weather station is made in Python, the program language is easy to used and very versatile.

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S A K, Jilani, and Manasa G R S. "Raspberry Pi Based Color Speaker." International Journal of Electronics and Communication Engineering 1, no. 7 (September 25, 2014): 8–12. http://dx.doi.org/10.14445/23488549/ijece-v1i7p105.

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Bahri, Saeful, and Purwono Purwono. "Photoplethysmograph Portable Menggunakan Raspberry Pi." RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) 3, no. 2 (December 7, 2020): 75. http://dx.doi.org/10.24853/resistor.3.2.75-80.

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Metode non-invasive untuk memonitor fungsi jantung yang sederhana adalah Photoplethysmography. Pada tulisan ini diuraikan Photoplethysmography dengan dua sumber cahaya (reflektif dan transmitter), satu fotosensor dengan dua kali pengkondisi sinyal (double BPF). Informasi sinyal detak jantung dimodulasikan pada frekuensi audible yang dihasilkan oleh osilator (IC555 timer) kemudian dikonversi menjadi data digital oleh USB sound card (sebagai ADC). Pemrosesan sinyal dilakukan menggunakan Raspberry Pi dan sofware JavaFX. Bentuk gelombang PPG, pulse, meanRR, sdRR, rMSSD, pNN50 dapat ditampilkan pada layar LCD 5 inch. Gelombang PPG morfologinya sama dengan gelombang ABP, dengan akuisi sinyal yang tepat, PPG menawarkan hal baru untuk manajemen penanganan PAD pada penderita diabetes militus, gagal ginjal dan usia lanjut. Dengan alat ini, detak jantung dapat dihitung dengan presentase kesalahan 0.098%. Pada display dapat ditampilan grafik gelombang yang menyerupai dengan bentuk gelombang masukan dan menjadi masa depan untuk pengganti ABP. Perbandingan pengukuran detak jantung antara alat dengan pulse oximetry menunjukan deviasi antara 0.1 - 0.4. A simple non-invasive method for monitoring cardiac function is Photoplethysmography. This paper describes Photoplethysmography with two light sources (reflective and transmitter), one photosensor with two signal conditioners (double BPF). The heart rate signal information is modulated at an audible frequency generated by the oscillator (IC555 timer) then converted into digital data by the USB sound card (as an ADC). Signal processing is performed using Raspberry Pi and JavaFX software. PPG, pulse, meanRR, sdRR, rMSSD, pNN50 waveforms can be displayed on the 5 inch LCD screen. The PPG wave is morphologically the same as the ABP wave, with precise signal acquisition, PPG offers a novelty for the management of PAD in people with diabetes mellitus, kidney failure and the elderly. With this tool, the heart rate can be calculated with an error percentage of 0.098%. On the display can be displayed a wave graph that resembles the input waveform and is a future for ABP replacement. Comparison of heart rate measurements between the device and pulse oximetry shows a deviation between 0.1 - 0.4.

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Duda, Liubomyr. "Developing of the method for optimizing the performance of architecture-independent hardware platforms." Technology audit and production reserves 3, no. 1(59) (June 30, 2021): 45–49. http://dx.doi.org/10.15587/2706-5448.2021.233947.

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The object of research is the Raspberry Pi single-board computer. The work examines the optimization of architecture-independent hardware platforms using its example. The research is based on an integrated scientific approach based on a system-analytical, structural-functional, empirical and typological approach. It is emphasized that the entire Raspberry Pi line uses APM-architecture processors. The genesis of Raspberry Pi is given, the parameters of the last build are determined. It is noted that the latest version is dated November 2020. It is equipped with wireless WiFi and Bluetooth modules (2×USB 3.0 and 1×USB 2.0 ports type A, 5.0, BLE), which expand the boundaries of mini-PC application in the field of Ethernet technologies and has a frequency of 1.8 GHz. The appearance of one of the popular Raspberry Pi B+boards has been formed, with the separation of the main blocks. The basic principles of improving the performance of the Raspberry Pi single board computer are determined, each of which is based on a specific mechanism. The first is the addition of ZRAM as a compressed random access memory block device. The principle of ZRAM operation is described, the mechanism for activating ZRAM on the Raspberry Pi is given. To improve the performance of the Raspberry Pi single board computer, the use of an NVMe disk is justified. It is emphasized that the NVMe disk is reliable and has a high data transfer rate. Connecting it to the Raspberry Pi single board computer is the optimal solution to improve performance. The tuning sequence is presented, the numerical result of the NVMe disk operation based on the Raspberry Pi single-board computer is proposed. It is proposed, as a principle to improve performance, the installation of an ICE Tower CPU based on Raspberry Pi. It is noted that the ICE Tower CPU is a cooling system that is designed to cool the Raspberry Pi. The principles of tuning ICE Tower CPU and the result of fluctuations in temperature components using the rpi-monitor are described. As part of the study, performance improvements were obtained from 26 % to 34 %, which is mainly in line with the expected theoretical improvement of 34 %.

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33

Antuña-Sanchez, J. C., N. Diaz, R. Estevan, A. M. de Frutos, and J. C. Antuña-Marrero. "Cloud camera design using a Raspberry Pi." Optica Pura y Aplicada 48, no. 3 (September 23, 2015): 199–205. http://dx.doi.org/10.7149/opa.48.3.199.

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34

Ospanova, A., and B. Tuleuov. "Perspectives of use of microcomputer Raspberry Pi in effective Kazakhstan digitalization." BULLETIN of the L.N. Gumilyov Eurasian National University. MATHEMATICS.COMPUTER SCIENCE. MECHANICS Series 125, no. 4 (2018): 95–107. http://dx.doi.org/10.32523/2616-7182-2018-125-4-95-107.

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35

Nakagawa, Yukiko, Masatake Aoki, Shunsuke Sakura, Noriaki Nakagawa, Ryuichi Ueda, and Amy Eguchi. "Raspberry Pi Mouse : A Micromouse with Full Linux Environment." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 13–14. http://dx.doi.org/10.1299/jsmeicam.2015.6.13.

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36

Diansyah, Tengku Mohd, and Elza Ilyanda. "Rancangan Media Penyimpanan Berbasis Mikrokontroler Menggunakan Raspberry Pi sebagai Mini Server Portabel." Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP) 1, no. 1 (April 1, 2018): 123–28. http://dx.doi.org/10.34012/jutikomp.v1i1.339.

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Pada saat ini teknologi kabel sudah tidak banyak digunakan lagi, karena teknologi nirkabel memungkinkan pengguna menggunakan media penyimpanan dengan lebih efesien. Aplikasi media penyimpanan mini berbasis mikrokontroler dengan raspberry pi sebagai server dimaksudkan untuk mempermudah pengguna dalam penyimpanan data karena bersifat portabel. Hardware yang diimplementasikan menggunakan metode client server dalam arsitekturnya. Dari hasil percobaan dapat disimpulkan bahwa server raspberry pi yang telah dibangun tidak dapat menumpung terlalu banyak user karena spesifikasi dari raspberry pi yang masih tergolong rendah. Setelah dianalisa diketahui bahwa setelah 10 user mengakses server raspberry pi secara bersamaan maka salah satu perangkat dari user akan mengalami Request Time Out atau biasa disebut error page. Oleh sebab itu kiranya perlu mengupgrade hardware raspberry pi ke versi terbaru yang peformanya lebih unggul agar dapat menampung lebih banyak user untuk mengakses server secara bersama-sama.

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37

Ho, Shuyuan Mary, and Mike Burmester. "Cyber Forensics on Internet of Things: Slicing and Dicing Raspberry Pi." International Journal of Cyber Forensics and Advanced Threat Investigations 2, no. 1 (May 22, 2021): 29–49. http://dx.doi.org/10.46386/ijcfati.v2i1.22.

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Any device can now connect to the Internet, and Raspberry Pi is one of the more popular applications, enabling single-board computers to make robotics, devices, and appliances part of the Internet of Things (IoT). The low cost and customizability of Raspberry Pi makes it easily adopted and widespread. Unfortunately, the unprotected Raspberry Pi device—when connected to the Internet—also paves the way for cyber-attacks. Our ability to investigate, collect, and validate digital forensic evidence with confidence using Raspberry Pi has become important. This article discusses and presents techniques and methodologies for the investigation of timestamp variations between different Raspberry Pi ext4 filesystems (Raspbian vs. UbuntuMATE), comparing forensic evidence with that of other ext4 filesystems (i.e., Ubuntu), based on interactions within a private cloud, as well as a public cloud. Sixteen observational principles of file operations were documented to assist in our understanding of Raspberry Pi’s behavior in the cloud environments. This study contributes to IoT forensics for law enforcement in cybercrime investigations.

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Sørensen, Chres, Néstor Hernández Marcano, Juan Cabrera Guerrero, Simon Wunderlich, Daniel Lucani, and Frank Fitzek. "Easy as Pi: A Network Coding Raspberry Pi Testbed." Electronics 5, no. 4 (October 13, 2016): 67. http://dx.doi.org/10.3390/electronics5040067.

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Bantun, Suharsono, Ahmad Ashari, and Rahmat Karim. "Analisis Kinerja Raspberry Pi Sebagai SIP Server Untuk Aplikasi Video Phone." Techno.Com 19, no. 2 (May 26, 2020): 135–46. http://dx.doi.org/10.33633/tc.v19i2.3220.

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Munculnya Single Board Computer seperti Raspberry Pi di pasaran yang lebih murah serta hemat daya dibandingkan PC dapat menghemat biaya pengadaan komputer dan biaya operasional. Dengan kemampuan komputasi yang dimilikinya, Raspberry Pi dapat difungsikan menjadi berbagai macam server termasuk server VVoIP, sehingga untuk membangun jaringan VVoIP tidak lagi diperlukan sebuah komputer. Dalam penelitian ini Raspberry Pi difungsikan sebagai SIP (Session Initiation Protocol) server dari aplikasi video phone menggunakan Asterisk. Penelitian ini bertujuan untuk mengetahui kinerja Raspberry Pi baik dalam panggilan per detik maupun panggilan bersamaan dengan resolusi CIF dan resolusi VGA. Penelitian ini juga menggunakan codec G711a dan VP8, serta untuk mengetahui kelayakan penggunaan server tersebut, dilakukan analisis QoS dari setiap panggilan dengan jumlah panggilan bersamaan tertentu. Untuk perbandingan, akan dilakukan pengujian terhadap PC yang digunakan sebagai SIP server. Berdasarkan hasil pengujian, dapat dilihat bahwa untuk jumlah panggilan per detik dan panggilan bersamaan, Raspberry Pi mampu melayani komunikasi VVoIP dengan baik dan layak diimplementasikan sebagai SIP server untuk aplikasi video phone. Namun, untuk penggunaan pada skala yang lebih besar, PC masih memiliki lebih banyak keunggulan dibanding Raspberry. Raspberry Pi yang difungsikan sebagai SIP server mampu melayani hingga 131 panggilan video dengan resolusi CIF dan 94 panggilan video dengan resolusi VGA.

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พันธุนะ, ณัฐพงศ์, ปิยธิดา พันธุนะ, นฤดม นวลขาว, จิราพร เชื้อคำฮด, and ธัญญารัตน์ บัวพ่วง. "กระจกอัจฉริยะสอนล้างมือต้านโควิด-19." วารสารงานวิจัยและพัฒนาเชิงประยุกต์ โดยสมาคม ECTI 1, no. 2 (August 29, 2021): 29–35. http://dx.doi.org/10.37936/ectiard.2021-1-2.244108.

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งานวิจัยฉบับนี้มีวัตถุประสงค์เพื่อออกแบบสร้างกระจกอัจฉริยะที่สามารถแสดงผลเป็นสื่อการสอนล้างมืออย่างถูกวิธี โดย Raspberry pi เป็นตัวควบคุมการทำงานของระบบ และใช้เซนเซอร์ควบคุมการเปิดปิดของวิดีโอผ่านระบบการควบคุมของ Raspberry pi และแสดงผลของวิดีโอผ่านจอ Monitor และเสียงของวิดีโอแสดงผลผ่านลำโพง และยังสามารถแสดงวิดีโอการล้างมือที่ถูกสุขลักษณะอนามัยให้กับทุกเพศทุกวัย จากการทดลองผู้ใช้งานจำนวน 50 คน จะพบว่าใช้เวลาอยู่หน้ากระจกเฉลี่ย 51.6 วินาที คนที่ใช้เวลาในการยืนหน้ากระจกน้อยเพราะมีระยะเวลาจำกัดในการล้างมือหรือเข้าห้องน้ำ ส่วนคนที่ใช้เวลาในการยืนหน้ากระจกมากเพราะใช้เวลาในการล้างมือและส่องกระจกเพื่อทำธุระอย่างอื่น

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Mr. Bhandarkavthe S. S and Mr. Desai P. B. "Smart Home Automation System." International Journal on Integrated Education 2, no. 5 (October 29, 2020): 222–29. http://dx.doi.org/10.31149/ijie.v2i5.777.

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This paper proposes the design of Inter of Things (IoT) based home automation system using Raspberry pi. Currently in day today’s life we can hardly find a house without a home automation system. This project is intended to construct a home automation system that uses any mobile device to control the home appliances. This home automation system is based on IoT. Home automation is very exciting field when it uses new technologies like Internet of Things (IoT). Raspberry pi is credit card size computer. Raspberry pi supports large number of peripherals. Raspberry pi is having different communication media like Ethernet port, HDMI port, USB port, Display Serial Interface, Camera Serial Interface, Bluetooth, Bluetooth low energy. It allows controlling number of home appliances simultaneously. Here local server is created on Raspberry pi. User required to use different mobile devices like smart phones, Laptops, Tablets to operate the home appliances with the help of UI created on web page.

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Sedayu, Agung, Elvan Yuniarti, and Edi Sanjaya. "Rancang Bangun Home Automation Berbasis Raspberry Pi 3 Model B dengan Interface Aprlikasi Media Sosial Telegram sebagai Kendali." Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics 1, no. 2 (April 2, 2019): 42–47. http://dx.doi.org/10.15408/fiziya.v1i2.9254.

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Telah berkambangnya tekonologi home automation pada zaman ini dan salah satunya dengan pemanfaatan smartphone sebagai salah satu pengendalinya. Pada penelitian ini memanfaatkan sebuah aplikasi media sosial telegram dan sebuah single board computer sebagai kontrol pada sebuah home automation. Penelitian ini bertujuan untuk membangun sebuah home automation dengan menggunakan Raspberry Pi dan aplikasi media sosial telegram sebagai kendalinya. Dengan studi pustaka dan metode eksperimen penelitian ini berhasil merancang bangun sebuah home automation menggunakan Raspberry Pi 3 Model B dengan interface aplikasi telegram sebagai kendalinya. Dibutuhkan sebuah Bot API telegram agar Raspberry Pi dan aplikasi telegram dapat terhubung. Perangkat yang digunakan dalam penelitian ini meliputi: single board computer Raspberry Pi 3 Model B, 2 buah relay untuk 2 perangkat elektronik (lampu dan kipas), 1 buah MCB dan smartphone yang telah terinstall aplikasi telegram yang digunakan sebagai pengontrol perangkat elektronik. Hasil dari penelitian ini sudah sesuai dengan tujuannya yaitu merancang bangun sebuah home automation dengan menggunakan Raspberry Pi dan aplikasi media social telegram sebagai kendalinya mensimulasikannya pada peralatan elektronika.

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Agonás, A., and Péter Tamás Szemes. "Párhuzamos adatgyűjtés és feldolgozás Raspberry Pi klaszterekkel." International Journal of Engineering and Management Sciences 2, no. 1 (March 20, 2017): 40–45. http://dx.doi.org/10.21791/ijems.2017.1.7.

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A kutatásaink során egy Raspberry Pi számtógépekből álló számítógép hálózatot hoztunk létre, amely összehangolt működéssel épületmechatronikai kutatási feladat megoldásához használtunk. Az eredmények alapján megállapítható, hogy a Raspberry Pi számítógépekből álló klaszter segítségével hatékonyan feldolgozható egy épületen belül keletkező mérési adatok.

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Alvarellos, Alberto, Adrián Vázquez, and Juan Rabuñal. "Raspberry Pimu: Raspberry Pi Based Inertial Sensor Data Processing System." Proceedings 2, no. 18 (September 18, 2018): 1159. http://dx.doi.org/10.3390/proceedings2181159.

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This paper explains the architectural design and development of an application for the reception, visualization and storage of inertial sensor data provided by an inertial measurement system (IMU). The application is built to run in a Raspberry Pi equipped with a small size screen that allows the visualization of the data and the control of data recording. The IMU is connected to a Raspberry Pi through a serial port (USB-TTY).

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Myint, Khin Nyein, Myo Hein Zaw, and Win Thanda Aung. "Parallel and Distributed Computing Using MPI on Raspberry Pi Cluster." International Journal of Future Computer and Communication 9, no. 1 (March 2020): 18–22. http://dx.doi.org/10.18178/ijfcc.2020.9.1.559.

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Bazaz, Jimy, and Abita Devi. "An Efficient Image Processing based Security Technique using Raspberry Pi." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 2065–67. http://dx.doi.org/10.31142/ijtsrd18275.

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Kharade, Pooja, Laxmi Mandalollu, A. S. Pooja, Pooja Savadatti, and Kotresh Marali. "Prototype Implementation of IoT based Autonomous Vehicle on Raspberry Pi." Bonfring International Journal of Research in Communication Engineering 6, Special Issue (November 30, 2016): 38–43. http://dx.doi.org/10.9756/bijrce.8197.

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Manalu, Sonya Rapinta, Jurike Moniaga, Dionisius Andrian Hadipurnawan, and Firda Sahidi. "OBD-II and raspberry Pi technology to diagnose car’s machine current condition: study literature." Library Hi Tech News 34, no. 10 (December 4, 2017): 15–21. http://dx.doi.org/10.1108/lhtn-06-2017-0041.

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Purpose Low-cost microcomputers such as the Raspberry Pi are common in library makerspaces. This paper aims to create an OBD-II technology to diagnose a vehicle’s condition. Design/methodology/approach An OBD-II scanner plugged into the OBD-II port or usually called the data link connector (DLC), sends diagnostics to the Raspberry Pi. Findings Compared with other microcontrollers such as Arduino, the Raspberry Pi was chosen because it sustains the application to receive real-time diagnostics, process the diagnostics and send commands to automobiles at the same time, rather than Arduino that must wait for another process finished to run another process. Originality/value This paper also represents the history of mobile technology and OBD-II technology, comparison between Arduino and Raspberry Pi and Node.

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A M, Naveen. "License Plate Detection Using Raspberry Pi." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (May 31, 2019): 2162–67. http://dx.doi.org/10.22214/ijraset.2019.5363.

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Chacko, Anju Mary, and Arun A. Raja. "Tea Harvesting Agribot using Raspberry PI." Asian Journal of Research in Social Sciences and Humanities 6, no. 6 (2016): 2021. http://dx.doi.org/10.5958/2249-7315.2016.00344.0.

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