Relevant bibliographies by topics / API systems

Academic literature on the topic 'API systems'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "API systems"

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Këpuska, Veton. "Comparing Speech Recognition Systems (Microsoft API, Google API And CMU Sphinx)." International Journal of Engineering Research and Applications 07, no. 03 (March 2017): 20–24. http://dx.doi.org/10.9790/9622-0703022024.

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Böhm, Thomas, and Markus Fries. "API revises API 682 standard for mechanical seals and supply systems." Sealing Technology 2013, no. 9 (September 2013): 9–11. http://dx.doi.org/10.1016/s1350-4789(13)70322-2.

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Bond, M., and R. Anderson. "API-level attacks on embedded systems." Computer 34, no. 10 (2001): 67–75. http://dx.doi.org/10.1109/2.955101.

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Kao, Chia Hung, Cheng-Ying Chang, and Hewijin Christine Jiau. "Towards cost-effective API deprecation: A win–win strategy for API developers and API users." Information and Software Technology 142 (February 2022): 106746. http://dx.doi.org/10.1016/j.infsof.2021.106746.

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Kwan, C. T. "Design Practice for Mooring of Floating Production Systems." Marine Technology and SNAME News 28, no. 01 (January 1, 1991): 30–38. http://dx.doi.org/10.5957/mt1.1991.28.1.30.

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A draft "API Recommended Practice for Design, Analysis, and Maintenance of Mooring for Floating Production Systems" was developed recently by the API Task Group on Mooring Design for Floating Structures. This document is closely related to API RP-2P, "Recommended Practice for the Analysis of Spread Mooring Systems for Floating Drilling Units." because both documents address mooring of floating units. However, this document is also different in many ways from API RP-2P because there are significant differences between a floating drilling mooring system and a floating production mooring system. Major differences of this document from API RP-2P are:The design environment is significantly more severe.Dynamic instead of quasistatic mooring analysis is recommended; tension limits are relaxed.Guidelines for thruster-assisted mooring are included.Fatigue analysis is required. In the course of developing the Draft RP, the API Task Group has done some fundamental work to establish a rational design practice for FPS mooring systems. This paper highlights the new design practice, presents its basis, and points out areas where future work is needed.
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Xu, Congying, Xiaobing Sun, Bin Li, Xintong Lu, and Hongjing Guo. "MULAPI: Improving API method recommendation with API usage location." Journal of Systems and Software 142 (August 2018): 195–205. http://dx.doi.org/10.1016/j.jss.2018.04.060.

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Kuo, Rita, Cheng-Li Chen, Zhong-Xiu Lu, Maiga Chang, and Hung-Yi Chang. "EDUCATIONAL REWARD INFORMATION COMMUNICATION API (ERIC API): A PRELIMINARY STUDY RESULT." Revista Produção e Desenvolvimento 5 (September 23, 2019): e395. http://dx.doi.org/10.32358/rpd.2019.v5.395.

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Educational Resource Information Communication (ERIC) API is used to connect two separate systems while keeping both systems working independently without leaking users’ privacy data. This research uses ERIC API to integrate an educational reward system called Trading Card Game with Moodle, a famous open-source learning management system. When students authorize Moodle to dispatch the rewards (i.e., in-game cards) for completing learning activities (e.g., assignments and quizzes) to their account in the Trading Card Game, Moodle will no information about the credentials that they have in the Trading Card Game. This research conducts a pilot study to understand whether or not students are satisfying with having the API to integrate Moodle and Trading Card Game. The results not only show that ERIC API is acceptable for students but also provide researchers and teachers support of evidence to having a reward system into their learning management system.
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Baskys, A., and V. Zlosnikas. "Asymmetric PI Controller for Mechatronic Systems." Solid State Phenomena 113 (June 2006): 25–28. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.25.

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An asymmetric PI (aPI) controller based on a control algorithm, which is the modification of the PI control method, has been suggested. The principal characteristic feature of the aPI controller is that different values of proportional and integral constants are used at positive and at negative errors. Contrary to the classical PI controller, the proposed controller allows us to improve the positive disturbance rejection of control systems without sacrificing the unit step response dynamics. Results of the investigation of the concrete control systems based on the aPI controller are also presented. Using the dynamic system simulation program Simulink performed the investigation.
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Klemm, Michael, Eduardo Quiñones, Tucker Taft, Dirk Ziegenbein, and Sara Royuela. "The OpenMP API for High Integrity Systems." ACM SIGAda Ada Letters 40, no. 2 (April 27, 2021): 48–50. http://dx.doi.org/10.1145/3463478.3463480.

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OpenMP is traditionally focused on boosting performance in HPC systems. However, other domains are showing an increasing interest in the use of OpenMP by virtue of key aspects introduced in recent versions of the specification: the tasking model, the accelerator model, and other features like the requires and the assumes directives, which allow defining certain contracts. One example is the safety-critical embedded domain, where several efforts have been initiated towards the adoption of OpenMP. However, the OpenMP specification states that "application developers are responsible for correctly using the OpenMP API to produce a conforming program", being not acceptable in high integrity systems, where aspects such as reliability and resiliency have to be ensured at different levels of criticality. In this scope, programming languages like Ada propose a different paradigm by exposing fewer features to the user, and leaving the responsibility of safely exploiting the full underlying architecture to the compiler and the runtime systems, instead. The philosophy behind this kind of model is to move the responsibility of producing correct parallel programs from users to vendors. In this panel, actors from different domains involved in the use of parallel programming models for the development of high-integrity systems share their thoughts about this topic.
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Ma, Xin, Shize Guo, Wei Bai, Jun Chen, Shiming Xia, and Zhisong Pan. "An API Semantics-Aware Malware Detection Method Based on Deep Learning." Security and Communication Networks 2019 (November 11, 2019): 1–9. http://dx.doi.org/10.1155/2019/1315047.

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The explosive growth of malware variants poses a continuously and deeply evolving challenge to information security. Traditional malware detection methods require a lot of manpower. However, machine learning has played an important role on malware classification and detection, and it is easily spoofed by malware disguising to be benign software by employing self-protection techniques, which leads to poor performance for existing techniques based on the machine learning method. In this paper, we analyze the local maliciousness about malware and implement an anti-interference detection framework based on API fragments, which uses the LSTM model to classify API fragments and employs ensemble learning to determine the final result of the entire API sequence. We present our experimental results on Ali-Tianchi contest API databases. By comparing with the experiments of some common methods, it is proved that our method based on local maliciousness has better performance, which is a higher accuracy rate of 0.9734.
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Dissertations / Theses on the topic "API systems"

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Engström, Rebecka, and Johan Herö. "Bildfilter för publikt API med hjälp av deep learning." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42419.

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Francis, Alexandra Michelle. "REST API to Access and Manage Geospatial Pipeline Integrity Data." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1496.

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Today’s economy and infrastructure is dependent on raw natural resources, like crude oil and natural gases, that are optimally transported through a net- work of hundreds of thousands of miles of pipelines throughout America[28]. A damaged pipe can negatively a↵ect thousands of homes and businesses so it is vital that they are monitored and quickly repaired[1]. Ideally, pipeline operators are able to detect damages before they occur, but ensuring the in- tegrity of the vast amount of pipes is unrealistic and would take an impractical amount of time and manpower[1]. Natural disasters, like earthquakes, as well as construction are just two of the events that could potentially threaten the integrity of pipelines. Due to the diverse collection of data sources, the necessary geospatial data is scat- tered across di↵erent physical locations, stored in di↵erent formats, and owned by di↵erent organizations. Pipeline companies do not have the resources to manually gather all input factors to make a meaningful analysis of the land surrounding a pipe. Our solution to this problem involves creating a single, centralized system that can be queried to get all necessary geospatial data and related informa- tion in a standardized and desirable format. The service simplifies client-side computation time by allowing our system to find, ingest, parse, and store the data from potentially hundreds of repositories in varying formats. An online web service fulfills all of the requirements and allows for easy remote access to do critical analysis of the data through computer based decision support systems (DSS). Our system, REST API for Pipeline Integrity Data (RAPID), is a multi- tenant REST API that utilizes HTTP protocol to provide a online and intuitive set of functions for DSS. RAPID’s API allows DSS to access and manage data stored in a geospatial database with a supported Django web framework. Full documentation of the design and implementation of RAPID’s API are detailed in this thesis document, supplemented with some background and validation of the completed system.
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Sideropoulos, Alexander Paul. "dCAMP: Distributed Common API for Measuring Performance." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1310.

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Although the nearing end of Moore’s Law has been predicted numerous times in the past, it will eventually come to pass. In forethought of this, many modern computing systems have become increasingly complex, distributed, and parallel. As software is developed on and for these complex systems, a common API is necessary for gathering vital performance related metrics while remaining transparent to the user, both in terms of system impact and ease of use. Several distributed performance monitoring and testing systems have been proposed and implemented by both research and commercial institutions. However, most of these systems do not meet several fundamental criterion for a truly useful distributed performance monitoring system: 1) variable data delivery models, 2) security, 3) scalability, 4) transparency, 5) completeness, 6) validity, and 7) portability. This work presents dCAMP: Distributed Common API for Measuring Performance, a distributed performance framework built on top of Mark Gabel and Michael Haungs’ work with CAMP. This work also presents an updated and extended set of criterion for evaluating distributed performance frameworks and uses these to evaluate dCAMP and several related works.
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Becker, Massimo J. "CUDA Web API Remote Execution of CUDA Kernels using Web Services." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/794.

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Massively parallel programming is an increasingly growing field with the recent introduction of general purpose GPU computing. Modern graphics processors from NVIDIA and AMD have massively parallel architectures that can be used for such applications as 3D rendering, financial analysis, physics simulations, and biomedical analysis. These massively parallel systems are exposed to programmers through in- terfaces such as NVIDIAs CUDA, OpenCL, and Microsofts C++ AMP. These frame- works expose functionality using primarily either C or C++. In order to use these massively parallel frameworks, programs being implemented must be run on machines equipped with massively parallel hardware. These requirements limit the flexibility of new massively parallel systems. This paper explores the possibility that massively parallel systems can be exposed through web services in order to facilitate using these architectures from remote systems written in other languages. To explore this possi- bility, an architecture is put forth with requirements and high level design for building a web service that can overcome limitations of existing tools and frameworks. The CUDA Web API is built using Python, PyCUDA, NumPy, JSON, and Django to meet the requirements set forth. Additionaly, a client application, CUDA Cloud, is built and serves as an example web service client. The CUDA Web API’s performance and its functionality is validated using a common matrix multiplication algorithm implemented using different languages and tools. Performance tests show runtime improvements for larger datasets using the CUDA Web API for remote CUDA kernel execution over serial implementations. This paper concludes that existing limitations associated with GPGPU usage can be overcome with the specified architecture.
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Yao, Kuan. "Implementing an Application Programming Interface for Distributed Adaptive Computing Systems." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33329.

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Developing applications for distributed adaptive computing systems (ACS) requires developers to have knowledge of both parallel computing and configurable computing. Furthermore, portability and scalability are required for developers to use innovative ACS research directly in deployed systems. This thesis presents an Application Programming Interface (API) implementation developed in a scalable parallel ACS system. The API gives the developer the ability to easily control both single board and multi-board systems in a network cluster environment. The API implementation is highly portable and scalable, allowing ACS researchers to easily move from a research system to a deployed system. The thesis details the design and implementation of the API, as well as analyzes its performance.
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Pailom, Chayutra. "API development for persistent data sessions support." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FPailom.pdf.

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Månsson, Anton. "Webbsystem säkerhet : Ur ett API och webbapplikations perspektiv." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-68000.

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Web applications and APIs have become more popular every year, and security risks haveincreased. Along with more security risks and the large amount of sensitive informationshared on web applications today, the problem grows. I therefore wanted to explore morein security deficiencies to increase my own knowledge and others in the field. To do that,a web application was developed and a survey was made of what security threats existtoday and what solutions they have. Some of the solutions encountered during theinvestigation were then implemented and tested in the web application. The result showedsome general solutions such as validation, which was a solution to a number of threats.The investigation also showed that security is not black and white and that it is possibleto implement actions but attackers can still find ways to attack systems.
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Höglund, Jonas. "AN ANALYSIS OF A DISTRIBUTED TRACING SYSTEMS EFFECT ON PERFORMANCE Jaeger and OpenTracing API." Thesis, Umeå universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-175889.

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With micro-services and other service oriented architectures gaining more popularity every day, debugging tools speci€cally made for service oriented architectures are also becoming more common. Distributed tracing systems are tools that can be used to debug latency and provide a bett‹er understanding about how a systems services communicates with each other among other helpful things. However, this is not a tool without drawbacks. Developers must implement the distributed tracing tools speci€ed API into their micro-service system to be able to use these distributed tracing tools. ‘This can have an impact on the microservice system’s performance, but how much of an impact does implementing a distributed tracing tool have on a micro-service system’s performance?
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Nordin, Izak. "Investigation and implementation of a developer-friendly and efficient API fo rDatabase Management Systems." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164766.

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New databases and query-languages are created every year. Developers using these technologies have to learn all the different ways to access the databases. When using a query-language to retrieve information it is easy for the query to become really long and complex.Different ways to implement an abstraction layer on top of databases was investigated. By looking at what is easiest to learn and use a Java implementation was used. In the resulting implementation the developers could create a query-object which is sent into a converter which creates the correct query-syntax. After showing the implementation to different developers at Cinnober they felt that an abstraction layer like this one could be really useful. The solution would provide a uniform way of creating queries and that it would be easier to use and understand once you got used to it. The performance of the implementation was high enough for the standards set by Cinnober, it was also deemed easy to understand which was an important criteria for usage in production. A new way of communicating to databases is presented and could be used in production if developers chooses to improve the current implementation.
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Fontoura, Felipe Michels. "Uma API criptográfica para aplicações embarcadas." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/1813.

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Neste documento, está apresentada a GEmSysC, uma API criptográfica unificada para aplicações embarcadas. Camadas de abstração compatíveis com esta API podem ser construídas sobre bibliotecas existentes, de forma que as funcionalidades criptográficas podem ser acessadas pelo software de alto nível de forma consistente e independente da implementação. As características da API foram definidas com base em boas práticas de construção de APIs, práticas indicadas em software embarcado e também com base em outras bibliotecas e padrões criptográficos existentes. A principal inspiração para este projeto foi o padrão CMSIS-RTOS, que também busca unificar interfaces para software embarcado de forma independente da implementação, mas é voltado a sistemas operacionais, não a funcionalidades criptográficas. A estrutura da GEmSysC é modular, sendo composta de um core genérico e módulos acopláveis, um para cada algoritmo criptográfico. Nesta dissertação, está apresentada a especificação do core e de três módulos: AES, RSA e SHA-256. Ainda que a GEmSysC tenha sido elaborada para utilização em sistemas embarcados, ela também poderia ser utilizada em computadores computacionais, já que, em última instância, sistemas embarcados são sistemas computacionais. Como provas de conceito, foram feitas duas implementações da GEmSysC: uma sobre a biblioteca wolfSSL, que é de código aberto e voltada a sistemas embarcados, e outra sobre a OpenSSL, que é amplamente utilizada e de código aberto, mas não é voltada especificamente a sistemas embarcados. A primeira implementação foi testada em um processador Cortex-M3 sem sistema operacional, enquanto a segunda foi testada em um PC com sistema operacional Windows 10. Mostrou-se que a GEmSysC é, sob alguns aspectos, mais simples que outras bibliotecas. Mostrou-se também que o overhead da camada de abstração é pequeno, ficando entre pouco mais de 0% e 0,17% na implementação voltada a sistemas embarcados e entre 0,03% e 1,40% na implementação para PC. Apresentaram-se ainda os valores dos custos de memória de programa e de RAM de cada uma das implementações.
This document presents GEmSysC, an unified cryptographic API for embedded systems. Software layers implementing this API can be built over existing libraries, allowing embedded software to access cryptographic functions in a consistent way that does not depend on the underlying library. The API complies to good practices for API design and good practices for embedded software development and took its inspiration from other cryptographic libraries and standards. The main inspiration for creating GEmSysC was the CMSIS-RTOS standard, which defines an unified API for embedded software in an implementation-independent way, but targets operating systems instead of cryptographic functions. GEmSysC is made of a generic core and attachable modules, one for each cryptographic algorithm. This document contains the specification of the core of GEmSysC and three of its modules: AES, RSA and SHA-256. GEmSysC was built targeting embedded systems, but this does not restrict its use only in such systems – after all, embedded systems are just very limited computing devices. As a proof of concept, two implementations of GEmSysC were made. One of them was built over wolfSSL, which is an open source library for embedded systems. The other was built over OpenSSL, which is open source and a de facto standard. Unlike wolfSSL, OpenSSL does not specifically target embedded systems. The implementation built over wolfSSL was evaluated in a Cortex- M3 processor with no operating system while the implementation built over OpenSSL was evaluated on a personal computer with Windows 10 operating system. This document displays test results showing GEmSysC to be simpler than other libraries in some aspects. These results have shown that both implementations incur in little overhead in computation time compared to the cryptographic libraries themselves. The overhead of the implementation has been measured for each cryptographic algorithm and is between around 0% and 0.17% for the implementation over wolfSSL and between 0.03% and 1.40% for the one over OpenSSL. This document also presents the memory costs for each implementation.
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Books on the topic "API systems"

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Win 32 API: A programmer's reference. New York, N.Y: M&T Books, 1995.

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Kevin, Rushforth, and Deering Michael, eds. The Java 3D API specification. Reading, Mass: Addison-Wesley, 1998.

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Sowizral, Henry A. The Java 3D API specification. 2nd ed. Boston: Addison-Wesley, 2000.

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Microsoft Windows 2000 API superbible. Indianapolis, Ind: Sams, 2000.

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Marc, Stock, ed. OS/2 Warp Presentation Manager API. New York: Wiley, 1995.

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Stock, Marc. OS/2 Warp Control Program API. New York: Wiley, 1995.

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Windows NT/2000 native API reference. Indianapolis, IN: Macmillan Technical Pub., 2000.

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Mitch, Allen, ed. Programming the Lotus Notes API. New York: Wiley, 1995.

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Windows 95 common controls & messages API bible. Corte Madera, Calif: Waite Group Press, 1996.

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Telles, Matthew A. Windows 95 API how-to. Corte Madera, CA: Waite Group Press, 1996.

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Book chapters on the topic "API systems"

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Inzunza, Sergio, Reyes Juárez-Ramírez, and Samantha Jiménez. "API Documentation." In Advances in Intelligent Systems and Computing, 229–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77712-2_22.

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Birman, Kenneth P. "Appendix B: Isis2 API." In Guide to Reliable Distributed Systems, 673–80. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2416-0_23.

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Bloom, Gedare, Joel Sherrill, Tingting Hu, and Ivan Cibrario Bertolotti. "POSIX Sockets API." In Real-Time Systems Development with RTEMS and Multicore Processors, 353–92. First edition. | [Boca Raton : CRC Press, 2020] | Series: Embedded systems: CRC Press, 2020. http://dx.doi.org/10.1201/9781351255790-11.

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Bloom, Gedare, Joel Sherrill, Tingting Hu, and Ivan Cibrario Bertolotti. "POSIX Sockets API." In Real-Time Systems Development with RTEMS and Multicore Processors, 353–92. First edition. | [Boca Raton : CRC Press, 2020] | Series: Embedded systems: CRC Press, 2020. http://dx.doi.org/10.1201/9781351255790-15.

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Wittayasatiankul, Suniti, Sittichai Chumjai, and Nuengwong Tuaycharoen. "Tor’s API on iOS." In Advances in Intelligent Systems and Computing, 267–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19024-2_27.

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Krajcevski, Pavel, and John Reppy. "A Declarative API for Particle Systems." In Practical Aspects of Declarative Languages, 130–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18378-2_12.

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Bry, Nicolas, and Richard Hababou. "Accelerating Innovation through Modular Design (API)." In Advances in Intelligent Systems and Computing, 135. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04313-5_12.

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Araujo, Gabriel, Vitor Vitali Barrozzi, and Michał J. Gajda. "Multicloud API Binding Generation from Documentation." In Lecture Notes in Networks and Systems, 171–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10461-9_11.

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Kirner, Konrad, and Somayeh Koohborfardhaghighi. "A Developer-Centric API Value Chain." In Economics of Grids, Clouds, Systems, and Services, 201–5. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63058-4_17.

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Linwood, Jeff, and Dave Minter. "Content Management Systems." In Building Portals with the Java Portlet API, 359–80. Berkeley, CA: Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0754-2_15.

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Conference papers on the topic "API systems"

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Mechtley, Adam. "API as Curriculum: Designing High-Level API Affordances as Instructional Scaffolds." In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3334480.3383008.

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Asad, Mariam, Christopher A. Le Dantec, Becky Nielsen, and Kate Diedrick. "Creating a Sociotechnical API." In CHI '17: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3025453.3025963.

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Alabau, V., J. M. Benedi, F. Casacuberta, L. A. Leiva, D. Ortiz-Martinez, V. Romero, J. A. Sanchez, R. Sanchez-Saez, A. H. Toselli, and E. Vidal. "CAT-API Framework Prototypes." In 2010 21st International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2010. http://dx.doi.org/10.1109/dexa.2010.81.

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Zhong, Hao, and Zhendong Su. "Detecting API documentation errors." In SPLASH '13: Conference on Systems, Programming, and Applications: Software for Humanity. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2509136.2509523.

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Teruya, Haroldo Shigueaki, Ingrid Marcal, Ronaldo Celso Messias Correia, Rogerio Eduardo Garcia, Danilo Medeiros Eler, and Joao Osvaldo Rodrigues Nunes. "URecommender: An API for Recommendation Systems." In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2020. http://dx.doi.org/10.23919/cisti49556.2020.9141055.

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Arya, Vijay, Sayandeep Sen, and Palani Kodeswaran. "Blockchain Enabled Trustless API Marketplace." In 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS). IEEE, 2020. http://dx.doi.org/10.1109/comsnets48256.2020.9027456.

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Fontoura, Felipe Michels, Carlos Alberto Maziero, and Marco Aurelio Wehrmeister. "Cryptographic API for Embedded Applications." In 2016 VI Brazilian Symposium on Computing Systems Engineering (SBESC). IEEE, 2016. http://dx.doi.org/10.1109/sbesc.2016.034.

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Macvean, Andrew, Martin Maly, and John Daughtry. "API Design Reviews at Scale." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2851581.2851602.

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Cruz, Felipe A., Alejandro J. Dabin, Juan Pablo Dorsch, Eirini Koutsaniti, Nelson F. Lezcano, Maxime Martinasso, and Dario Petrusic. "FirecREST: a RESTful API to HPC systems." In 2020 IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud). IEEE, 2020. http://dx.doi.org/10.1109/supercompcloud51944.2020.00009.

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Bruch, Marcel, Thorsten Schäfer, and Mira Mezini. "On evaluating recommender systems for API usages." In the 2008 international workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1454247.1454254.

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Reports on the topic "API systems"

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Mogul, J., D. Mills, J. Brittenson, J. Stone, and U. Windl. Pulse-Per-Second API for UNIX-like Operating Systems, Version 1.0. RFC Editor, March 2000. http://dx.doi.org/10.17487/rfc2783.

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Lingner, Stefan, Karl Heger, and Claas Faber. MAMS Image Broker. GEOMAR, December 2022. http://dx.doi.org/10.3289/sw_3_2022.

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The GEOMAR Helmhotz Centre for Ocean Research Kiel is operating a Media Asset Management System (MAMS) which manages large amounts image- and video data. Similar systems are operated by the Helmholtz Centre HEREON and by the Alfred Wegener Institute (AWI). Although the MAMS system provides access to data and metadata using an API, it is not possible to directly request image data without prior knowledge of the internal MAMS data structure. The image broker is a web service which brokers between a client (e.g. web-browser) and the MAMS. It allows users to request images by metadata values (e.g. image uuid). The broker uses the [IIIF](https://iiif.io/) standard which allows users to request the images in different formats, scaled copies or only specific parts of the image.
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Terada, M., and K. Fujimura. Voucher Trading System Application Programming Interface (VTS-API). RFC Editor, September 2005. http://dx.doi.org/10.17487/rfc4154.

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Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4439.

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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to systematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organization of high-quality training.
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Knott, M., M. Kraimer, and F. Lenkszus. APS control system operating system choice. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/378892.

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Brunhart-Lupo, Nicholas, Brian Bush, Kenny Gruchalla, and Michael Rossol. Advanced Energy System Design (AESD): Technical Manual for the Records API. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1465105.

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Aiken, Catherine. Classifying AI Systems. Center for Security and Emerging Technology, November 2021. http://dx.doi.org/10.51593/20200025.

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This brief explores the development and testing of artificial intelligence system classification frameworks intended to distill AI systems into concise, comparable and policy-relevant dimensions. Comparing more than 1,800 system classifications, it points to several factors that increase the utility of a framework for human classification of AI systems and enable AI system management, risk assessment and governance.
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Kramer, S. Higher harmonic RF system for APS. Office of Scientific and Technical Information (OSTI), November 1988. http://dx.doi.org/10.2172/376389.

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Priadko, Andrii O., Kateryna P. Osadcha, Vladyslav S. Kruhlyk, and Volodymyr A. Rakovych. Development of a chatbot for informing students of the schedule. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3744.

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The article describes the process of developing a chatbot to provide students with information about schedules using the Telegram mobile messenger. During the research, the following tasks have been performed: the analysis of notification systems for their use in the educational process, identification of problems of notifying students about the schedule (dynamic environment, traditional presentation of information, lack of round-the-clock access), substantiation of the choice of mobile technologies and Telegram messenger, determination of the requirements to the software, generalization of the chatbot functioning features, description of the structure, functionality of the program to get information about the schedule using a chatbot. The following tasks have been programmatically implemented: obtaining data from several pages of a spreadsheet (faculty / institute, red / green week, group number, day of the week, period number, discipline name, information about the teacher); presentation of data in a convenient form for the messenger (XML); implementation of the mechanism of convenient presentation of data in the messenger (chatbot). Using Python and the Telegram API, the software has been designed to increase students; immediacy in getting the information about the schedules, minimizing the time spent, and optimizing of planning of student activities and higher education institution functioning.
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Andrew, Rex K. The APL-UW Multiport Acoustic Projector System. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada515330.

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