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Journal articles on the topic 'Embedded environment'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Raghavan, Vinay, and Hamid Shahnasser. "Embedded Wireless Sensor Network for Environment Monitoring." Journal of Advances in Computer Networks 3, no. 1 (2015): 13–17. http://dx.doi.org/10.7763/jacn.2015.v3.134.

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2

Pulli, Petri. "Runtime environment for embedded microcontrollers." Microprocessors and Microsystems 11, no. 10 (December 1987): 541–44. http://dx.doi.org/10.1016/0141-9331(87)90393-0.

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3

Esser, R., J. Teich, and L. Thiele. "CodeSign: An embedded system design environment." IEE Proceedings - Computers and Digital Techniques 145, no. 3 (1998): 171. http://dx.doi.org/10.1049/ip-cdt:19981973.

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4

Sobol, Marion G., and David Lei. "Environment, manufacturing technology, and embedded knowledge." International Journal of Human Factors in Manufacturing 4, no. 2 (1994): 167–89. http://dx.doi.org/10.1002/hfm.4530040205.

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5

AZRAD, Syaril, Mohamad FADHIL, Farid KENDOUL, Yuze SONG, Daisuke IWAKURA, and Kenzo NONAMI. "A209 Localization of MAV in GPS-Denied Environment Using Embedded Stereo Camera." Proceedings of the Symposium on the Motion and Vibration Control 2011.12 (2011): 291–96. http://dx.doi.org/10.1299/jsmemovic.2011.12.291.

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6

Wang, Yi Chen, and Xin Sheng Lan. "Reserch on Enviroment of Embedded Software Testing." Advanced Materials Research 271-273 (July 2011): 622–28. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.622.

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The paper is about the methods used in testing embedded software. It introduces the concepts of embedded software and the reason why test is so important for embedded software. The different kind of test environment and the quality features of test environment are manifested in detail in this paper too. Meanwhile, the three most common used testing environments are also analyzed completely here. Finally the paper tells why simulation testing environment is the ideal way for testing embedded software.

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7

A, Ravishankar, and Pandian R. "Embedded System Based Sensor Failiure Detection and Industrial Environment Controll Over Wireless Network." International Journal of Engineering Research 3, no. 12 (December 1, 2014): 716–19. http://dx.doi.org/10.17950/ijer/v3s12/1202.

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8

LU, Shao-peng, Sheng-lin GUI, Yun LI, and Lei LUO. "LambdaMDE: Embedded development environment based on model." Journal of Computer Applications 30, no. 3 (April 1, 2010): 607–11. http://dx.doi.org/10.3724/sp.j.1087.2010.00607.

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9

Mundy, Lee G., Friedrich Wyrowski, and Sarah Watt. "The Circumstellar Environment of Embedded Massive Stars." Highlights of Astronomy 12 (2002): 143–45. http://dx.doi.org/10.1017/s1539299600013083.

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Millimeter and submillimeter wavelength images of massive star-forming regions are uncovering the natal material distribution and revealing the complexities of their circumstellar environments on size scales from parsecs to 100’s of AU. Progress in these areas has been slower than for low-mass stars because massive stars are more distant, and because they are gregarious siblings with different evolutionary stages that can co-exist even within a core. Nevertheless, observational goals for the near future include the characterization of an early evolutionary sequence for massive stars, determination if the accretion process and formation sequence for massive stars is similar to that of low-mass stars, and understanding of the role of triggering events in massive star formation.

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10

Eker, Johan, and Anders Blomdell. "A flexible interactive environment for embedded controllers." Control Engineering Practice 8, no. 2 (February 2000): 139–46. http://dx.doi.org/10.1016/s0967-0661(99)00142-2.

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11

Paulin, P. G., and M. Santana. "FlexWare: a retargetable, embedded-software development environment." IEEE Design & Test of Computers 19, no. 4 (July 2002): 59–69. http://dx.doi.org/10.1109/mdt.2002.1018134.

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12

Saunders, Heather, and Ryan W. Taylor. "The Art and Environment of Embedded Librarianship." College & Undergraduate Libraries 21, no. 2 (April 3, 2014): 145–54. http://dx.doi.org/10.1080/10691316.2014.906775.

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13

Tzou, Shin-Yuan, Jyh-Jang Lim, Jai Menon, and David Palmer. "A distributed development environment for embedded software." Software: Practice and Experience 23, no. 11 (November 1993): 1235–48. http://dx.doi.org/10.1002/spe.4380231104.

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14

Bansal, Alka, and Dipti Arora. "Embedded Librarianship in S&T Environment." DESIDOC Journal of Library & Information Technology 34, no. 6 (November 19, 2014): 467–71. http://dx.doi.org/10.14429/djlit.34.6.8095.

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15

Burns and, Daniel, and Thomas G. Sugar. "Rapid Embedded Programming in the Mathworks Environment." Journal of Computing and Information Science in Engineering 2, no. 3 (September 1, 2002): 237–41. http://dx.doi.org/10.1115/1.1519836.

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New, commercially available, automatic, code-generation tools are used in teaching and lab exercises to progress from controller design, to simulation, and finally to implementation on mechanical hardware. An embedded computing system consists of a dedicated, digital, electronic-processor that controls a system that interacts with the environment. Case studies highlighting a force-feedback joystick and motor servo control with encoder feedback are presented to illustrate laboratory exercises that teach mechanical engineering students hardware-in-the-loop control system design. Using these software tools, design iterations and multiple controllers are quickly simulated and downloaded to the actual hardware.

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16

Szpyrka, Marcin, Piotr Matyasik, Rafał Mrówka, and Leszek Kotulski. "Communication with Environment in Alvis Models." International Journal of Electronics and Telecommunications 58, no. 3 (September 2012): 247–54. http://dx.doi.org/10.2478/v10177-012-0034-2.

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Abstract Alvis is a modelling language defined for the design and a formal verification of embedded systems. An Alvis model is a system of agents that usually run concurrently, communicate one with another, compete for shared resources etc. Due to the fact that an embedded system usually collects inputs that come from its environment and provides outputs that go to the environment it is necessary to provide a mechanism to describe such a communication. In contrast to another formal languages used to model embedded systems it is not necessary, using Alvis, to design such an environment as a part of a model. The paper deals with the problem of modelling a communication with an embedded system environment with Alvis.

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17

Syschikov, Alexey, Yuriy Sheynin, Boris Sedov, and Vera Ivanova. "Domain-Specific Programming Environment for Heterogeneous Multicore Embedded Systems." International Journal of Embedded and Real-Time Communication Systems 5, no. 4 (October 2014): 1–23. http://dx.doi.org/10.4018/ijertcs.2014100101.

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Nowadays embedded systems are used in a broad range of domains such as avionics, space, automotive, mobile, domestic appliances etc. Sophisticated software determines the quality of embedded systems and requires high-qualified experts for software development. Software becomes the main assert of embedded systems that is valuable to retain in changing computing platforms in embedded systems evolution. Computing platforms for embedded systems became multicore processors and SoC, they can change in the embedded system lifetime that could be long (dozen of years for an automobile and airplane). It requires software porting to new platforms as a regular process. Many tools and approaches allow developing of software for domain area experts, but mainly for general-purpose computing systems. In this paper the authors present the complex technology and tools that allows involving domain experts in software development for embedded systems. The proposed technology has various aspects and abilities that can be used to build verifiable and portable software for a wide range of embedded platforms.

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18

Choi, Won-Huyck, Min-Seok Jie, and Kwang-Jae Lee. "Development of The Remote Observation Environment Embedded Systems." Joural of the Korea Entertainment Industry Association 6, no. 2 (June 30, 2012): 128. http://dx.doi.org/10.21184/jkeia.2012.06.6.2.128.

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19

Lefarth, U., U. Baum, T. Beck, and T. Zurawka. "ASCET-SD - Development Environment for Embedded Control Systems." IFAC Proceedings Volumes 30, no. 4 (April 1997): 85–90. http://dx.doi.org/10.1016/s1474-6670(17)43617-2.

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20

Hagras, H., V. Callaghan, M. Colley, G. Clarke, A. Pounds-Cornish, and H. Duman. "Creating an Ambient-Intelligence Environment Using Embedded Agents." IEEE Intelligent Systems 19, no. 06 (November 2004): 12–20. http://dx.doi.org/10.1109/mis.2004.61.

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21

Nikolaidis, S., A. Chatzigeorgiou, and T. Laopoulos. "Developing an environment for embedded software energy estimation." Computer Standards & Interfaces 28, no. 2 (December 2005): 150–58. http://dx.doi.org/10.1016/j.csi.2005.01.016.

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22

Li, Jing, Huan Guo Zhang, Bo Zhao, Xi Guo, and Fan He. "Research on Hardware Security of Embedded System in Cloud Environment." Advanced Materials Research 488-489 (March 2012): 1480–87. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1480.

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Cloud computing is an important innovation of current computing models. At present, the research on the security of cloud computing is mainly concentrated on PCs and servers. The security of embedded system in cloud environment does not win enough attention. This paper analysis the security threats of it, and proposes a Secure Hardware Model to provide a tamper-resistant and more reliable hardware embedded platform in cloud environment. Our model adds some new components to traditional embedded system, controls the start sequence of platform’s components, verifies the integrity of crucial information for embedded platform and recovers the system if necessary. Our implementation demonstrates the feasibility of Secure Hardware Model, it enhance the secure and reliable boot of embedded system. With the constant development and application of embedded system in cloud computing field, our research will influence cloud computing greatly.

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23

Syschikov, A. Yu, B. N. Sedov, and Yu E. Sheynin. "INTEGRATED DOMAIN-SPECIFIC PROGRAMMING ENVIRONMENT FOR HETEROGENEOUS MANYCORE PLATFORMS." Issues of radio electronics, no. 8 (August 20, 2018): 133–44. http://dx.doi.org/10.21778/2218-5453-2018-8-133-144.

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Different classes of problems on the embedded systems market and its needs make manufacturers of embedded systems to design heterogeneous many/multi core hardware platforms. Such platforms includes dozens of different cores: CPU, GPU, DSP, FPGA etc. That makes them incredibly hard to program, especially in case when domain experts are involved in the development process. Usually, domain expert has knowledge in his domain area, but does not fully understand the specificity of programming for heterogeneous manycore platforms. In this article, we propose the complex technology and tools that allows involving domain experts in software development for embedded systems. The proposed technology has various aspects and abilities that can be used to build verifiable and portable software for a wide range of heterogeneous embedded platforms.

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24

Tsai, Pang Wei, Hou Yi Chou, Mon Yen Luo, and Chu Sing Yang. "Design a Flexible Software Development Environment on NetFPGA Platform." Applied Mechanics and Materials 411-414 (September 2013): 1665–69. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1665.

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Among numerous embedded platforms, NetFPGA provides developers with a freely programmable FPGA component to design custom functionalities in networking. However, most hardware projects are developed based on reference designs without embedded operating system. For hybrid developments on multi-layers, there will be some difficulties to apply. On the other hand, due to the limited resources on embedded platform, both performance and flexibility need to be concerned on implementation. And for networking processing, it is quite difficult to adjust control parameters without software environment. Therefore, this paper proposes an integrated architecture using PowerPC processor on NetFPGA and embedded Linux operating system on NetFPGA platform. This not only provides developers with an environment for software execution which added more flexibility, but also enhanced the system to provide more applied possibilities on development.

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25

Song, Rong, Wen Chang Lang, and Shu Wei Pan. "Development of Embedded System GUI Based on Qt/Embedded." Applied Mechanics and Materials 109 (October 2011): 586–90. http://dx.doi.org/10.4028/www.scientific.net/amm.109.586.

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Against some problems which exist in the current embedded graphical user interface development such as low efficiency in the operating, poor portability and so on. This paper brings up an embedded GUI development method based on Qt/Embedded. Firstly, the construction technology of X11 virtual compiler platform and the implementation technology of cross-compile environment are described in details which are necessary in GUI development. Secondly, the Qt library file is cut, and the picture is displayed with Chinese-characters in accordance with the specific embedded goal. In the end, prove the valid of the development method based on Qt/Embedded through applications.

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26

Guo, Jinchi, and Han Zhu. "Embedded Information Literacy Instruction in the Mobile Environment: A Case Study." International Journal of Librarianship 4, no. 2 (December 29, 2019): 94. http://dx.doi.org/10.23974/ijol.2019.vol4.2.129.

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Information literacy instruction in various countries has expanded in a variety of ways. At universities, it has mainly taken the form of credit-based courses, lectures, and embedded instruction. While European and American universities carry out more embedded instruction, universities in China focus more on credit-based courses and lectures, leaving embedded instruction in an exploratory stage. This paper is a preliminary study of a research project that aims to investigate the department-based, embedded information literacy instruction among the libraries of 42 "Double-First Class" universities in China. Using East China Normal University Library as an example, this paper discusses the teaching mode, teaching philosophy, teaching design, teaching methods and contents in order to explore how embedded information literacy instruction can make use of the mobile Internet platform. The specific areas to be examined include teaching resources, enhancing classroom interactions, and after-class feed-pushing as part of teaching support. Finally, some recommendations are put forward for the extension and expansion of embedded information literacy instruction.

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27

Wang, Chao, and Jian Ma. "Research of Greenhouse Environment Monitoring System." Advanced Materials Research 1030-1032 (September 2014): 1509–12. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1509.

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With the rapid development of Wireless Sensor Networks (WSN) and embedded technique, especially the widely application of Internet of Things technology, more and more attention has been paid in greenhouse monitor field. The aims design of system depends significantly on the application, and it must consider factors such as temperature, humidity, light intensity, co2 concentration and other environmental factors. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. All the environment factor information gathers by PC and embedded device, and people also can control them through Graphical User Interface (GUI).

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28

Zhou, Yang. "Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development." Mathematical Problems in Engineering 2021 (March 29, 2021): 1–12. http://dx.doi.org/10.1155/2021/5584125.

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With the development of social economy and the improvement of material level, people are paying more and more attention to their own health, and they are also constantly improving their fitness awareness. As far as the current sports equipment is concerned, the boring exercise methods can no longer satisfy people’s pursuit of higher quality fitness exercises. The embedding of the distributed virtual environment can incorporate its perceptual, immersive, and interactive characteristics, which increases the realization of multiuser interactive behavior in the field of sports equipment in the virtual scene. Therefore, this paper proposes the research and development of basketball sports equipment embedded system based on distributed virtual environment. First of all, this article adopts the literature method to learn the application of distributed virtual environment and embedded system in depth and, secondly, designs the embedded system architecture of basketball sports equipment suitable for distributed virtual environment and the software and hardware framework of the embedded system. Finally, the performance, delay comparison, system optimization test, and other aspects of the embedded system are analyzed. The average delay of interactive functions of embedded systems based on distributed virtual environment is 1.4 min, which saves 4 min compared with traditional interactive methods. And, the throughput rate of the system has also been greatly improved. The research on the embedded system of sports equipment based on the distributed virtual environment proposed in this paper will be beneficial to the development of society and economy, and it can also help more people to enrich the way of sports and enhance the fun of sports.

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29

Seigel, Robert B., and Susan C. van den Heever. "Simulated Density Currents beneath Embedded Stratified Layers." Journal of the Atmospheric Sciences 69, no. 7 (July 1, 2012): 2192–200. http://dx.doi.org/10.1175/jas-d-11-0255.1.

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Abstract The goal of this research is to investigate the impacts of a stably stratified layer embedded within a neutrally stratified environment on the behavior of density currents in an effort to extend the environmental regimes examined by Liu and Moncrieff. Such environments frequently support severe weather events. To accomplish this goal, nonhydrostatic numerical model experiments are performed in which the strength and height of the embedded stably stratified layer within a neutrally stratified environment are varied. The 1-km-deep stable layer base is varied between 1, 2, and 3 km AGL. Additionally, the strength of the stable layer is systematically varied between Brunt–Väisälä frequencies of 0.006, 0.012, and 0.018 s−1, following the methodology of Liu and Moncrieff. The model and grid setup are also similar to that of Liu and Moncrieff, utilizing the Arakawa C grid, leapfrog advection, a Robert–Asselin filter, and grid spacing of 100 and 50 m in the horizontal and vertical directions, respectively. Results show that the height of the density current decreases and the propagation speed increases with stronger and lower stable layers, provided that the stable layer is sufficiently thin so as to not act as a gravity wave ducting layer. As the strength of the stable layer increases and the height of this layer decreases, the horizontal pressure gradient driving the density current increases, resulting in faster propagation speeds. Such results have implications for cold pool propagation into more stable environments.

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30

Lee, Seokho, Jeong-Eun Lee, Yuri Aikawa, Gregory Herczeg, and Doug Johnstone. "The Circumstellar Environment around the Embedded Protostar EC 53." Astrophysical Journal 889, no. 1 (January 21, 2020): 20. http://dx.doi.org/10.3847/1538-4357/ab5a7e.

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31

Oberhelman, David D. "Sources: Virtually Embedded: The Librarian in an Online Environment." Reference & User Services Quarterly 54, no. 1 (September 1, 2014): 58–59. http://dx.doi.org/10.5860/rusq.54n1.58b.

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32

O'Grady, Michael J., Gregory M. P. O'Hare, and Stefan Poslad. "Smart environment interaction: A user assessment of embedded agents." Journal of Ambient Intelligence and Smart Environments 5, no. 3 (2013): 331–46. http://dx.doi.org/10.3233/ais-130206.

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33

Cha, Chang-Il, Sang-Wook Kim, and Ji-Woong Chang. "Performance Evaluation of Embedded Garbage Collectors in CVM Environment." KIPS Transactions:PartA 14A, no. 3 (June 30, 2007): 173–84. http://dx.doi.org/10.3745/kipsta.2007.14-a.3.173.

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34

Kim, Young-Un, Sun-Kyung Kang, and Sung-Tae Jung. "Real Time Lip Reading System Implementation in Embedded Environment." KIPS Transactions:PartB 17B, no. 3 (June 30, 2010): 227–32. http://dx.doi.org/10.3745/kipstb.2010.17b.3.227.

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35

Wang, Yan Qiu, Yi Hu, Xiu Qing Yang, Hai Rong Ye, and Chun Mei Pei. "Study of Embedded Power Environment Remote Video Monitoring System." Advanced Materials Research 605-607 (December 2012): 2100–2103. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2100.

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A design of embedded remote video monitoring was proposed, which took advantage of MPEG-4 compression standard to achieve low bit rate interactive multimedia communications. Characteristics of the system is that users can cut system’s hardware and software as needed, such as removing the function has nothing to do with monitoring, can resolve hardware conflict and optimize system at any time.

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36

Svyatnyy, V. A., O. M. Miroshkin, M. A. Minakov, and H. E. Marhiiev. "DISTRIBUTED PARALLEL SIMULATION ENVIRONMENT USAGE FOR EMBEDDED SYSTEMS DEVELOPMENT." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 5, no. 1 (2019): 161–65. http://dx.doi.org/10.32838/2663-5941/2019.5-1/26.

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37

Seepold, Ralf, Natividad Martínez Madrid, Jesús Sáez Gómez-Escalonilla, and Alvaro Reina Nieves. "An Embedded Software Platform for Distributed Automotive Environment Management." EURASIP Journal on Embedded Systems 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/856962.

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38

Koong, Chorng-Shiuh, Chihhsiong Shih, Pao-Ann Hsiung, Hung-Jui Lai, Chih-Hung Chang, William C. Chu, Nien-Lin Hsueh, and Chao-Tung Yang. "Automatic testing environment for multi-core embedded software—ATEMES." Journal of Systems and Software 85, no. 1 (January 2012): 43–60. http://dx.doi.org/10.1016/j.jss.2011.08.030.

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39

Kurniawan, Stefanus, Dareen K. Halim, Dicky H., and Tang C. M. "Multicore development environment for embedded processor in arduino IDE." TELKOMNIKA (Telecommunication Computing Electronics and Control) 18, no. 2 (April 1, 2020): 890. http://dx.doi.org/10.12928/telkomnika.v18i2.14873.

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40

Pantel, D., J. R. Vaillé, F. Wrobel, L. Dilillo, J. M. Gallière, J. L. Autran, P. Cocquerez, P. Chadoutaud, and F. Saigné. "Embedded silicon detector to investigate the natural radiative environment." Journal of Instrumentation 7, no. 05 (May 15, 2012): P05007. http://dx.doi.org/10.1088/1748-0221/7/05/p05007.

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41

Brylow, Dennis. "An experimental laboratory environment for teaching embedded operating systems." ACM SIGCSE Bulletin 40, no. 1 (February 29, 2008): 192–96. http://dx.doi.org/10.1145/1352322.1352201.

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42

Bartolini, Andrea, Alberto Leva, and Claudio Maffezzoni. "Power Plant Simulator Embedded in a Visual Programming Environment." IFAC Proceedings Volumes 28, no. 26 (December 1995): 153–58. http://dx.doi.org/10.1016/s1474-6670(17)44749-5.

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43

Okumura, Yuko, Yasuhiro Kanakogi, Fumiya Yonemitsu, Hideyuki Takahashi, Masanori Takano, and Nobuhiro Mifune. "Subliminal Social Impact—implicit agency perception embedded in environment—." Proceedings of the Annual Convention of the Japanese Psychological Association 83 (September 11, 2019): SS—076—SS—076. http://dx.doi.org/10.4992/pacjpa.83.0_ss-076.

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44

Lian, Kuang-Yow, Sung-Jung Hsiao, and Wen-Tsai Sung. "Mobile Monitoring and Embedded Control System for Factory Environment." Sensors 13, no. 12 (December 17, 2013): 17379–413. http://dx.doi.org/10.3390/s131217379.

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45

Waluyo, Agustinus Borgy, David Taniar, Bala Srinivasan, and Wenny Rahayu. "Mobile query services in a participatory embedded sensing environment." ACM Transactions on Embedded Computing Systems 12, no. 2 (February 2013): 1–24. http://dx.doi.org/10.1145/2423636.2423649.

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46

Duran, Jasmine L., Zach Goolsbee, Nancy J. Cooke, and Jamie C. Gorman. "Embedded Collaboration Metrics in the MacroCog Synthetic Task Environment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 18 (October 2009): 1388–92. http://dx.doi.org/10.1177/154193120905301847.

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47

Stairmand, Malcolm C., and Wolfgang Kreutzer. "POSE: a Process-Oriented Simulation Environment embedded in SCHEME." SIMULATION 50, no. 4 (April 1988): 143–53. http://dx.doi.org/10.1177/003754978805000404.

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48

Kanda, Wataru, Yu Murata, and Tatsuo Nakajima. "SIGMA System: A Multi-OS Environment for Embedded Systems." Journal of Signal Processing Systems 59, no. 1 (September 26, 2008): 33–43. http://dx.doi.org/10.1007/s11265-008-0272-9.

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49

CAI, XIA, MICHAEL R. LYU, and KAM-FAI WONG. "COMPONENT-BASED EMBEDDED SOFTWARE ENGINEERING: DEVELOPMENT FRAMEWORK, QUALITY ASSURANCE AND A GENERIC ASSESSMENT ENVIRONMENT." International Journal of Software Engineering and Knowledge Engineering 12, no. 02 (April 2002): 107–33. http://dx.doi.org/10.1142/s0218194002000846.

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Embedded software is used to control the functions of mechanical and physical devices by dedicated digital signal processor and computers. Nowadays, heterogeneous and collaborative embedded software systems are widely adopted to engage the physical world. To make such software extremely reliable, very efficient and highly flexible, component-based embedded software development can be employed for the complex embedded systems, especially those based on object-oriented (OO) approaches. In this paper, we introduce a component-based embedded software framework and the features it inherits. We propose a quality assurance (QA) model for component-based embedded software development, which covers both the component QA and the system QA as well as their interactions. Furthermore, we propose a generic quality assessment environment for component-based embedded systems: ComPARE. ComPARE can be used to assess real-life off-the-shelf components and to evaluate and validate the models selected for their evaluation. The overall component-based embedded systems can then be composed and analyzed seamlessly.

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50

Anttila, Henrika, Kirsi Pyhalto, Janne Pietarinen, and Tiina Soini. "Socially Embedded Academic Emotions in School." Journal of Education and Learning 7, no. 3 (March 8, 2018): 87. http://dx.doi.org/10.5539/jel.v7n3p87.

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School is a central arena for a wide amount of emotions. Previous research on academic emotions has, however, mainly focused on achievement, engagement and teaching, situated in classroom. The social embeddedness, as well as different learning environments of school, continue to be neglected in the research literature. Our study focuses on examining socially embedded academic emotions in school, including emotions described in peer interactions and in teacher-pupil interactions. Furthermore, the aim of the study was to investigate socially embedded academic emotions situated in both informal and formal learning environments. In the study, we combine both qualitative and quantitative methods by using picture tasks and questionnaires. In total, 146 sixth and eighth graders participated in the study. The results of our study showed that the interaction between teachers and peers is a central arena for pupils’ described socially embedded academic emotions in school. Furthermore, our study emphasizes the role of an informal learning environment as an important setting for socially embedded academic emotions. Practical and theoretical implications of these findings are discussed.

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