Relevant bibliographies by topics / AWS Step Functions Architecture

Contents

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

Academic literature on the topic 'AWS Step Functions Architecture'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "AWS Step Functions Architecture"

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Sytnikova, Polina E., and Oleksii P. Hovderchak. "AWS Step Functions as an integral part of the system architecture with sequential execution of serverless functions." Management Information System and Devises, no. 177 (June 30, 2021): 29–35. https://doi.org/10.30837/0135-1710.2021.177.029.

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It is proposed to use AWS Step Functions to develop a system architecture with sequential execution of serverless functions. The main advantages of AWS Step Functions were considered, which include fast data processing, graphical interface of state transition, configuration and control of independent serverless functions and its disadvantages, the main of which is the difficulty of configuring AWS Step Functions due to the use of Amazon-specific AWS, so migrating from one cloud service provider to another may be difficult or impossible. Problems of sequential operation of serverless functions
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Thota, Praveen Kumar. "Serverless Automation Framework for Scalable and Fault-Tolerant Cloud Operations." International Scientific Journal of Engineering and Management 01, no. 02 (2022): 1–8. https://doi.org/10.55041/isjem00139.

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Progress in cloud computing has resulted in different ways of building, rolling out, and maintaining today’s applications. Serverless computing, which emerged during this period, takes care of managing servers and allows developers to focus only on their code and what it does. The paper looks carefully at a serverless automation framework capable of ensuring scalability and fault tolerance in dynamic cloud. With serverless computing, users rely on event-based architectures and can take advantage of cloud services that handle scaling, keep the system running, and manage billing which is a major
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Prabhu, Akshay. "Leveraging Event - Based Architecture, AWS Step Functions, AWS Batch, and DynamoDB to Run ETL or ELT Jobs Concurrently While Allowing Granular Replay Capabilities." International Journal of Science and Research (IJSR) 13, no. 9 (2024): 25–28. http://dx.doi.org/10.21275/sr24829051214.

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Rotimi-Williams Bello. "Architecture for IT Internship Recruitment Process Based on AWS Cloud." Journal of Information Systems Engineering and Management 10, no. 49s (2025): 532–42. https://doi.org/10.52783/jisem.v10i49s.9903.

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Introduction: The current recruitment processes face challenges due to lack of automation and scalability. Filtering student data manually is both time-intensive and prone to errors. Managing high volumes of applications securely is difficult, and there is limited capability to effectively track applications and notify students. Objectives: This paper aims to design a secure, automated, and scalable cloud application on Amazon Web Services (AWS) leveraged by NLP-based deep learning models like Bidirectional Encoder Representations from Transformers (BERT) and Sentence Transformer to streamline
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Goutham, Bilakanti. "Automated Healthcare Claim Processing with AWS AI." International Journal of Leading Research Publication 5, no. 1 (2024): 1–12. https://doi.org/10.5281/zenodo.15196969.

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The integration of artificial intelligence (AI) and cloud-based solutions is revolutionizing healthcare claims processing by enhancing efficiency, accuracy, and security. This study explores an AWS-powered system that leverages Amazon Textract, AWS Step Functions, and Amazon Recognition to automate document extraction, validation, and fraud detection. By eliminating manual processes, the AI-driven system significantly reduces claim processing time, minimizes errors, and ensures compliance with regulatory standards. Machine learning algorithms improve data classification and enhance decision-ma
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Researcher. "AWS STEP FUNCTIONS DISTRIBUTED MAP: A COMPREHENSIVE FRAMEWORK FOR SCALABLE DATA PROCESSING." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 169–76. https://doi.org/10.5281/zenodo.14053923.

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This article presents a comprehensive analysis of AWS Step Functions' capabilities in distributed data processing, with particular emphasis on the Distributed Map pattern for parallel processing implementations. Through rigorous examination of real-world deployments, including a large-scale genomic data processing system handling 10 petabytes monthly and a real-time financial transaction monitoring system processing over 1 million transactions per hour, we demonstrate the platform's effectiveness in managing complex distributed workflows. The article provides detailed insights into performance
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Ritesh, Kumar. "Serverless Computing with AWS Lambda: Best Practices for Scalable Enterprise Applications." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 2 (2019): 1–13. https://doi.org/10.5281/zenodo.14900633.

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Serverless computing has transformed cloud application development by enabling organizations to build scalable, event-driven applications without managing infrastructure. AWS Lambda, a leading Function-as-a-Service (FaaS) platform, allows developers to run code in response to events while AWS handles provisioning, scaling, and execution. This paper presents best practices for event-driven applications using AWS Lambda, emphasizing performance optimization, security, cost efficiency, and observability. Key areas include cold start mitigation, concurrency management, IAM security, API Gateway in
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Sreeja Reddy Challa. "Autonomous cloud engineering: The rise of self-healing AWS infrastructure using AI and event-driven automation." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2576–87. https://doi.org/10.30574/wjaets.2025.15.2.0810.

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This article explores the emergence of autonomous cloud engineering as a paradigm shift in AWS infrastructure management, examining how the integration of artificial intelligence, event-driven automation, and self-healing workflows is transforming operational practices. The article investigates the evolution from reactive monitoring to proactive self-healing systems that can detect, diagnose, and remediate failures autonomously across multiple AWS accounts. The article analyzes key components of this architecture, including AI-driven anomaly detection through services like DevOps Guru and Guar
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Ajay Kumar Panchalingala. "Recent advances in AWS cloud services." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 259–67. https://doi.org/10.30574/wjaets.2025.15.3.0918.

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The rapid evolution of Amazon Web Services (AWS) cloud technologies continues to reshape enterprise computing environments across global industries. This technical review examines recent innovations in AWS services that are transforming organizational capabilities and competitive positioning. Beginning with computational performance advancements through AWS Graviton processors and specialized High-Performance Computing offerings, the article explores how these ARM-based architectures deliver enhanced efficiency across diverse workloads. The expanding AI and Machine Learning ecosystem, particul
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Ying, Songpeng. "Serveless-based High-Dimensional Matrix Operations and Their Financial Applications." Applied and Computational Engineering 158, no. 1 (2025): 11–16. https://doi.org/10.54254/2755-2721/2025.tj23320.

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This paper systematically analyzes multivariate methods for high-dimensional matrix computation and their optimization strategies for applications in finance. At the level of high-dimensional computation, it focuses on the technical characteristics of direct methods, iterative methods , and randomized algorithms , which reveal their efficiency gains in financial derivatives pricing, risk matrix modeling, and other scenarios. For serverless architecture, the study focuses on its core advantages of elastic scaling and on-demand billing, through parallel task slicing and cost optimization, while
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Dissertations / Theses on the topic "AWS Step Functions Architecture"

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Mengozzi, Federico. "Gli strumenti Serverless di AWS." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23448/.

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Il serverless è un trend del cloud computing che si sta diffondendo rapidamente. I cloud provider offrono tutte le risorse che servono per eseguire applicazioni. Lasciando agli sviluppatori la possibilità di concetrarsi solo sulla creazione del prodotto. In questo lavoro, dopo una breve introduzione al serverless e ai microservizi, analizzerò nel dettaglio i servizi AWS che sono alla base dello sviluppo serverless con Amazon. Offrirò due esempi, di come AWS è utilizzato in production per risolvere vecchi problemi in modi nuovi e creativi. Infine, mostrerò una semplice applicazione serverless p
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Books on the topic "AWS Step Functions Architecture"

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Chowhan, Kuldeep. Hands-On Serverless Computing: Build, run and orchestrate serverless applications using AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions. Packt Publishing, 2018.

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Buddha, Jyothi Prasad, and Reshma Beesetty. The Definitive Guide to AWS Application Integration: With Amazon SQS, SNS, SWF and Step Functions. Apress, 2019.

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Boudreau, Joseph F., and Eric S. Swanson. Ordinary differential equations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0011.

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This chapter surveys the ordinary differential equations (ODEs) that occur in classical and quantum mechanics, and describes both numerical algorithms and appropriate software design for solving them. Systems of ordinary differential equations, together with a few constants of integration, can in most cases be regarded as a means of defining a function (the “solution”). In this chapter, we develop an object-oriented architecture that applies integrators of the Runge-Kutta family to create these functions. Together with an automatic derivative system for generating partial derivatives from func
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Letesson, Quentin, and Carl Knappett, eds. Minoan Architecture and Urbanism. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793625.001.0001.

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Minoan Crete is rightly famous for its idiosyncratic architecture, as well as its palaces and towns such as Knossos, Malia, Gournia, and Palaikastro. Indeed, these are often described as the first urban settlements of Bronze Age Europe. However, we still know relatively little about the dynamics of these early urban centres. How did they work? What role did the palaces have in their towns, and the towns in their landscapes? It might seem that with such richly documented architectural remains these questions would have been answered long ago. Yet, analysis has mostly found itself confined to bu
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McKinnon, Julian. Linux for Beginners: A Step-By-step Guide to Learn Architecture, Installation, Configuration, Basic Functions, Command Line and All the Essentials of Linux, Including Manipulating and Editing Files. Independently Published, 2020.

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McKinnon, Julian James. Linux for Beginners: A step-by-step guide to learn architecture, installation, configuration, basic functions, command line and all the essentials of Linux, including manipulating and editing files. DM Publishing, 2020.

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Hagoort, Peter, ed. Human Language. The MIT Press, 2019. http://dx.doi.org/10.7551/mitpress/10841.001.0001.

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A unique overview of the human language faculty at all levels of organization. Language is not only one of the most complex cognitive functions that we command, it is also the aspect of the mind that makes us uniquely human. Research suggests that the human brain exhibits a language readiness not found in the brains of other species. This volume brings together contributions from a range of fields to examine humans' language capacity from multiple perspectives, analyzing it at genetic, neurobiological, psychological, and linguistic levels. In recent decades, advances in computational modeling,
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Sangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.

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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip it
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Book chapters on the topic "AWS Step Functions Architecture"

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Buddha, Jyothi Prasad, and Reshma Beesetty. "Step Functions." In The Definitive Guide to AWS Application Integration. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5401-1_5.

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Kumar, Abhishek. "Low Power VLSI Architecture of Artificial Neural Networks (ANN)." In Exploring the Intricacies of Digital and Analog VLSI. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8084-0.ch009.

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The optimization techniques used to create low-power VLSI architectures for Artificial Neural Networks (ANNs) are covered in detail in this chapter. Each ANN is composed of a large number of neurons to a compute-weighted sum and the activation function to make a decision. In this chapter features like resources and power are focussed to implement with different activation functions. Verilog is one of the hardware description languages to design the digital computing block and has been employed to design ANN with the Artix7 FPGA family. The step activation function exhibits higher resource demands, consuming 122mW of power, utilizing 23 LUTs, and requiring 40 IOBs. In contrast, the ReLU activation function demonstrates superior efficiency, consuming only 79mW of power and utilizing a reduced resource footprint with 8 IOBs. This chapter explores the on-chip power consumption and resource utilization of various activation functions used in neural network implementations, including Step, ReLU, Sigmoid, Tanh, and Softmax.
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Bavirthi, Swathi Sowmya, Bala krishna Peesala, V. Santhosh, and K. Swathi. "Scalable and Micro Service-Oriented Approach Using FaaS." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1682-5.ch009.

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Function as a service (FaaS) is a service of cloud computing that allows cloud customers to develop applications and establish functionalities. FaaS is commonly employed for deploying microservices and is popularly referred to as serverless computing. Here, the authors investigate the world of function as a service (FaaS) within cloud computing. They explore FaaS's evolution from its inception to its role in serverless computing, covering key concepts like serverless architecture, event-driven programming, and statelessness. The exploration involves gaining knowledge in establishing FaaS environments using AWS Lambda, IBM Bluemix OpenWhisk, Azure functions, Auth0 Webtask, and Google Cloud functions as the authors delve into design principles and best practices. Emphasis is placed on the advantages of adopting event-driven, serverless methodologies and optimization techniques involved in FaaS. For an experienced developer or novice, this chapter helps to understand function as a service, making it valuable to learn the insights of serverless computing.
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Bürkle T, Prokosch H-U, and Dudeck J. "Steps towards Integration of Knowledge Based Functions into a Hospital Information System." In Studies in Health Technology and Informatics. IOS Press, 1996. https://doi.org/10.3233/978-1-60750-878-6-286.

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This paper demonstrates a stepwise practice-oriented approach to introduce knowledge based functions into a hospital information system. The analysis of the specific architecture of the hospital information system is followed by the description how main components of the knowledge based system were mapped into this environment. Every step is exemplarily discussed on the base of a current research project performed at the medical intensive care unit of the Gießen University Hospital. One of the aims of this project is the introduction of knowledge based functions into daily routine use in an “intelligent” drug order entry program.
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Weddle, Saundra. "Domus humilis: the conversion of Venetian convent architecture and identity." In Conversions. Manchester University Press, 2017. http://dx.doi.org/10.7228/manchester/9780719099151.003.0008.

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Although the monastic principle of poverty had, for centuries, been intended to guide the architectural development of monasteries and convents, the 1260 Franciscan General Chapter of Narbonne took the radical step of recommending that communities of friars adapt existing buildings rather than build complexes ex novo. This chapter examines the adaptive and accretive practice of converting buildings of various functions to accommodate communities of women religious in Renaissance Venice. Convent archives, site and urban plans, building chronologies, patron family histories, civic building statutes all offer evidence for the patchwork and partial conversions of buildings designed to convert. Comparisons with complexes for male monastics inform this study of how patterns of patronage and urban development inflected the ways in which convent architecture publicly redefined and re-presented the identity of the communities it enclosed.
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Lammer, Anne, Sandy Eggert, and Norbert Gronau. "A Procedure Model for a SOA-Based Integration of Enterprise Systems." In Always-On Enterprise Information Systems for Business Continuance. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-723-2.ch016.

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Enterprise systems are being transferred into a service-oriented architecture. In this article we present a procedure for the integration of enterprise systems. The procedure model starts with decomposition into Web services. This is followed by mapping redundant functions and assigning of the original source code to the Web services, which are orchestrated in the final step. Finally an example is given how to integrate an Enterprise Resource Planning System and an Enterprise Content Management System using the proposed procedure model.
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Lämmer, Anne, Sandy Eggert, and Norbert Gronau. "A SOA-Based Approach to Integrate Enterprise Systems." In Organizational Advancements through Enterprise Information Systems. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-968-7.ch008.

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This chapter presents a procedure for the integration of enterprise systems. Therefore enterprise systems are being transferred into a service oriented architecture. The procedure model starts with decomposition into Web services. This is followed by mapping redundant functions and assigning of the original source code to the Web services, which are orchestrated in the final step. Finally, an example is given how to integrate an Enterprise Resource Planning System with an Enterprise Content Management System using the proposed procedure model.
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Lammer, Anne, Sandy Eggert, and Norbert Gronau. "A Procedure Model for a SOA-Based Integration of Enterprise Systems." In Enterprise Information Systems. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-852-0.ch403.

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Enterprise systems are being transferred into a service-oriented architecture. In this article we present a procedure for the integration of enterprise systems. The procedure model starts with decomposition into Web services. This is followed by mapping redundant functions and assigning of the original source code to the Web services, which are orchestrated in the final step. Finally an example is given how to integrate an Enterprise Resource Planning System and an Enterprise Content Management System using the proposed procedure model.
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Lämmer, Anne, Sandy Eggert, and Norbert Gronau. "A SOA-Based Approach to Integrate Enterprise Systems." In Enterprise Information Systems. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-852-0.ch506.

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This chapter presents a procedure for the integration of enterprise systems. Therefore enterprise systems are being transferred into a service oriented architecture. The procedure model starts with decomposition into Web services. This is followed by mapping redundant functions and assigning of the original source code to the Web services, which are orchestrated in the final step. Finally, an example is given how to integrate an Enterprise Resource Planning System with an Enterprise Content Management System using the proposed procedure model.
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Lämmer, Anne, Sandy Eggert, and Norbert Gronau. "A Procedure Model for a SoA-Based Integration of Enterprise Systems." In Information Resources Management. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-965-1.ch209.

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Enterprise systems are being transferred into a service-oriented architecture. In this article we present a procedure for the integration of enterprise systems. The procedure model starts with decomposition into Web services. This is followed by mapping redundant functions and assigning of the original source code to the Web services, which are orchestrated in the final step. Finally an example is given how to integrate an Enterprise Resource Planning System and an Enterprise Content Management System using the proposed procedure model.
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Conference papers on the topic "AWS Step Functions Architecture"

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Mathew, Anil, Vasilios Andrikopoulos, and Frank J. Blaauw. "Exploring the cost and performance benefits of AWS step functions using a data processing pipeline." In UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing. ACM, 2021. http://dx.doi.org/10.1145/3468737.3494084.

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Slater, Michael R. S., and Douglas L. Van Bossuyt. "Toward a Dedicated Failure Flow Arrestor Function Methodology." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46270.

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Risk analysis in engineering design is of paramount importance when developing complex systems or upgrading existing systems. In many complex systems, new generations of systems are expected to have decreased risk and increased reliability when compared with previous designs. For instance, within the American civilian nuclear power industry, the Nuclear Regulatory Commission (NRC) has progressively increased requirements for reliability and driven down the chance of radiological release beyond the plant site boundary. However, many ongoing complex system design efforts analyze risk after early
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Galvao, Adriano B., and Keiichi Sato. "Affordances in Product Architecture: Linking Technical Functions and Users’ Tasks." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84525.

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Developing usable and desirable products requires an understanding of how users build close relationships with objects and how these relationships can be controlled by developers. This paper discusses the importance of the concept of affordances as an instrument useful for understanding the relationships between technical functions and user tasks. The approach introduces a Function-Task Design Matrix to link technical functions with user tasks and to capture relevant affordance-level requirements throughout the product architecture generation. Functional and Operational Affordance levels are i
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Han, PoongGyoo. "Usability and Scalability of Performing Software FMEA Integration with Software Architecture Design." In WCX SAE World Congress Experience. SAE International, 2025. https://doi.org/10.4271/2025-01-8200.

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<div class="section abstract"><div class="htmlview paragraph">This paper presents a conceptual study on how to perform an 8-step software FMEA by adding a signal analysis step into the 7-step FMEA of AIAG-VDA<sup>1st</sup> edition. In 8-step software FMEA, structural analysis, functional analysis, and the newly added signal analysis steps correspond to software architecting. Thus, the 8-step software FMEA has the effect of integrating software architecting and FMEA, and this study defines it as integrated software FMEA. In the structure tree, the functionality-assigned
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An, Jie, Zhengyuan Yang, Jianfeng Wang, et al. "Bring Metric Functions into Diffusion Models." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/64.

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We introduce a Cascaded Diffusion Model (Cas-DM) that improves a Denoising Diffusion Probabilistic Model (DDPM) by effectively incorporating additional metric functions in training. Metric functions such as the LPIPS loss have been proven highly effective in consistency models derived from the score matching. However, for the diffusion counterparts, the methodology and efficacy of adding extra metric functions remain unclear. One major challenge is the mismatch between the noise predicted by a DDPM at each step and the desired clean image that the metric function works well on. To address this
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Vosoughi, Naser, and Zahra Naseri. "Fuzzy Logic Controller Architecture for Water Level Control in Nuclear Power Plant Steam Generator (SG) Using ANFIS Training Method." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22015.

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Since suitable control of water level can greatly enhance the operation of a power station, a Fuzzy logic controller architecture is applied to show desired control of the water level in a Nuclear steam generator. With regard to the physics of the system, it is shown that two inputs, a single output and the least number of rules ( 9 rules ) are considered for a controller, and the ANFIS training method is employed to model functions in a controlled system. By using ANFIS training method, initial member functions will be trained and appropriate functions are generated to control water level ins
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Tavella, Domenico, Ali Muhialdin, Enrico Garante, and Alessandro Peciarolo. "Front Zone Control Unit for Propulsion and Chassis Domains in a Zonal E/E Architecture – System Engineering Approach to Architecture Design." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2500.

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<div class="section abstract"><div class="htmlview paragraph">The modern automotive industry field is in the middle of a major transformation of the Electric/Electronics (E/E) system design, to meet the future mobility trends driven by Autonomy, Electrification and expanded Connectivity.</div><div class="htmlview paragraph">For these reasons, the ongoing industry trend is to move to more centralized E/E architectures by combining and integrating sub-systems and controllers, from either a functional domain standpoint (horizontal integration, or “cross-domain controllers”
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Costa, Thiago F., Elizabeth F. Wanner, Flávio V. C. Martins, and André R. da Cruz. "A Methodology for Definition and Refinement of a LSTM Stock Predictor Architecture using iRace and NSGA-II." In Brazilian Workshop on Artificial Intelligence in Finance. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/bwaif.2022.222869.

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This paper presents a novel methodology aiming to define and refine a LSTM architecture applied to predict stock market prices. The methodology, dubbed STOCK-PRED: THE LSTM PROPHET OF THE STOCK MARKET, uses iRace and NSGA-II algorithms. The LSTM is built in two steps: (i) initially, iRace determines a robust set of hyperparameters using a compound objective function; afterwards, (ii) one of the best structures is used to define a tiny search space for the NSGA-II populations. In this step NSGA-II optimizes, simultaneously, the Mean Squared Error, in relation to price prediction, and the Accumu
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Wang, Lihui. "Overview of an Adaptive Setup Planning Approach for Job Shop Operations." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84355.

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This paper presents an overview of an adaptive setup planning system that considers both the availability and capability of machines on a shop floor. It integrates scheduling functions at setup planning stage, and utilizes a two-step decision-making strategy for generating machine-neutral and machine-specific optimal setup plans. The objective is to enable adaptive setup planning for dynamic machining job shop operations. Particularly, this paper documents basic algorithms and architecture of the setup planning system for dynamically assigned machines. It is then validated through a case study
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Shah, Jami J., and Viren Pherwani. "Dynamic Binding of Features and Solid Modelers." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0401.

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Abstract The work described in this paper investigates the feasibility of standardizing communications between geometric modeling core systems and generic feature-based applications. Since geometric modelers differ in the functionality they provide and feature applications vary in the level of geometric operations they can support internally, a multi-layered communication architecture is proposed. The methodology is analogous to the X-Window standard for graphics. At the lowest level is a library of functions named Geo-lib, which are translated into geometric modeler specific commands. If ther
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Reports on the topic "AWS Step Functions Architecture"

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Tabakovic, Momir, Stefan Savic, Andreas Türk, et al. Analysis of the Technological Innovation System for BIPV in Austria. Edited by Michiel Van Noord. International Energy Agency Photovoltaic Power Systems Programme, 2024. http://dx.doi.org/10.69766/aocp4683.

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This report analyses the Technological Innovation System (TIS) of Building Integrated Photovoltaics (BIPV) in Austria. The study’s scope is consistent with the IEA PVPS Task 15 report [1].The analysis aims to facilitate and support the innovation, development, and implementation of industrial solutions of BIPV technologies. In Austria, the use of BIPV is still a niche application and covers under 2% of all implemented PV systems [1]. BIPV technology in Austria has historically developed with the support of different public financial incentives, national and European. The history of BIPV is som
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