Relevant bibliographies by topics / Generative System

Academic literature on the topic 'Generative System'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Generative System"

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Coorey, Benjamin P., and Julie R. Jupp. "Generative spatial performance design system." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 28, no. 3 (July 22, 2014): 277–83. http://dx.doi.org/10.1017/s0890060414000225.

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AbstractArchitectural spatial design is a wicked problem that can have a multitude of solutions for any given brief. The information needed to resolve architectural design problems is often not readily available during the early conceptual stages, requiring proposals to be evaluated only after an initial solution is reached. This “solution-driven” design approach focuses on the generation of designs as a means to explore the solution space. Generative design can be achieved computationally through parametric and algorithmic processes. However, utilizing a large repertoire of organiational patterns and design precedent knowledge together with the precise criteria of spatial evaluation can present design challenges even to an experienced architect. In the implementation of a parametric design process lies an opportunity to supplement the designer's knowledge with computational decision support that provides real-time spatial feedback during conceptual design. This paper presents an approach based on a generative multiperformance framework, configured for generating and optimizing architectural designs based on a precedent design. The system is constructed using a parametric modeling environment enabling the capture of precedent designs, extraction of spatial analytics, and demonstration of how populations can be used to drive the generation and optimization of alternate spatial solutions. A pilot study implementing the complete workflow of the system is used to illustrate the benefits of coupling parametric modeling with structured precedent analysis and design generation.
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Zhang, Gexiang, G. Samdanielthompson, N. Gnanamalar David, Atulya K. Nagar, and K. G. Subramanian. "A Bio-Inspired Model of Picture Array Generating P System with Restricted Insertion Rules." Applied Sciences 10, no. 22 (November 23, 2020): 8306. http://dx.doi.org/10.3390/app10228306.

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In the bio-inspired area of membrane computing, a novel computing model with a generic name of P system was introduced around the year 2000. Among its several variants, string or array language generating P systems involving rewriting rules have been considered. A new picture array model of array generating P system with a restricted type of picture insertion rules and picture array objects in its regions, is introduced here. The generative power of such a system is investigated by comparing with the generative power of certain related picture array grammar models introduced and studied in two-dimensional picture language theory. It is shown that this new model of array P system can generate picture array languages which cannot be generated by many other array grammar models. The theoretical model developed is for handling the application problem of generation of patterns encoded as picture arrays over a finite set of symbols. As an application, certain floor-design patterns are generated using such an array P system.
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Mahajan, Bhushan, Deven waykar, Aditya Kadam, Vaishnavi Bhagde, and Prof S. R. Nalamwar. "Enhancing the Concept of Generative Art." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 1586–92. http://dx.doi.org/10.22214/ijraset.2023.48877.

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Abstract: Art that was entirely or partially produced by an autonomous system is referred to as generative art. An autonomous system is typically a non-human entity that is capable of making judgments on its own about aspects of a piece of art that would otherwise require direct input from the artist. We have created a GUI which lists the applications which are based on the concept of generative art. Our GUI contains applications like random password generation, abstract artworks, map generation, wallpaper generation. Password generator will provide randomly generated passwords which would be derived from the images created using image generation algorithms/scripts such as EPWT and python’s in-built random function which uses algorithms like mersenne twister, a pseudo-random number generator. This application aims to provide usefulness for old hashing algorithms which are getting obsolete day by day. Abstract artwork generator will generate random images for stimulating creativity of artists, designers, architectural and marketing firms for getting started on a new project. This generator uses general complex functions which contain scripts for different shapes and combinations. This approach is able to generate some innovative solutions and demonstrates the power of computational approach. A layout of the area with the requested coordinates and different constraints will be provided through map generating model. Wallpaper generation model will generate aesthetically pleasing wallpapers with adjustable features.
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Chen, Zhong Hong. "Biomarker Geochemistry and Hydrocarbon Generation Potential of the Evaporites in Dongying Lacustrine Basin." Advanced Materials Research 616-618 (December 2012): 1042–47. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1042.

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To investigate hydrocarbon potential of the evaporites, some deep wells such as Haoke-1 well and Fengshen-2 well were intensively cored, tested by TOC, Rock-Eval, and chromatography and mass spectrometry and evaluated using geochemistry of biomarker and hydrocarbon generation. High content of gammacerane and low Pr/Ph was exhibited in the evaporite system compared to the non-evaporite system. Different response of biomarkers parameters for the different sedimentary systems was exhibited, such as C19/(C19+C23) terpanes, C29/(C27+C28+C29) steranes, C24/C23 and C22/C21 tricyclic terpane. The evaporites and mud stones have the capacity to generate and expel hydrocarbons. The tested samples were mostly typeⅠand typeⅡ1 of organic matter, and their original generating capacity can reach 40 mg/g rock and 20 mg/g rock respectively. The efficiency of hydrocarbon expulsion reached 60%, but the distribution of organic matter and its generative potential was highly variable. In general, the mudstones show greater generative potential than the evaporites. High maturity severely reduced the capacity of their rocks to generate and expel petroleum.
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ECKERT, CLAUDIA, IAN KELLY, and MARTIN STACEY. "Interactive generative systems for conceptual design: An empirical perspective." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 13, no. 4 (September 1999): 303–20. http://dx.doi.org/10.1017/s089006049913405x.

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This paper argues from extensive research findings in design psychology and industrial design processes, as well as our own observations, that interactive generative systems can be powerful tools for human designers. Moreover, interactive generative systems can fit naturally into human design thinking and industrial design practice. This discussion is focused on aesthetic design fields like knitwear and graphic design, but is largely applicable to major branches of engineering. Human designers and generative systems have complementary abilities. Humans are extremely good at perceptual evaluation of designs, according to criteria that are extremely hard to program. As a result, they can provide fitness evaluations for evolutionary generative systems. They can also tailor the biases that generation systems use to reach useful solutions quickly. We discuss an application of these approaches: Kelly's evolutionary systems for color scheme design. Automatic design systems can work interactively with human designers by generating complete designs from partial specifications, that can then be used as starting points for designing by modification. We discuss an application of this approach: Eckert's garment shape design system.
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Sankar, Meena Parvathy, and N. G. David. "Parallel Communicating String - Graph P System." Mapana - Journal of Sciences 10, no. 2 (November 25, 2011): 63–74. http://dx.doi.org/10.12723/mjs.19.6.

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The concept of parallel communicating grammar systems generating string languages is extended to string-graph P systems and their generative power is studied. It is also established that for every language L generated by a parallel communicating grammar system there exists an equivalent parallel communicating string-graph P system generating the string-graph language corresponding to L.
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MAZUROWSKI, �ukasz. "Algorithmic composition transformational-generative system for background music generation." PRZEGL�D ELEKTROTECHNICZNY 1, no. 2 (February 5, 2015): 114–19. http://dx.doi.org/10.15199/48.2015.02.27.

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Eigenfeldt, Arne. "Generating Structure – Towards Large-Scale Formal Generation." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, no. 5 (June 29, 2021): 2–9. http://dx.doi.org/10.1609/aiide.v10i5.12764.

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Metacreative systems have been very successful at generating event-to-event musical details and generating short forms. However, large-scale formal decisions have tended to remain in the hands of a human, either through an operator guiding an improvisational system along in performance, or the assemblage of shorter generated sections into longer forms. This paper will describe the open problem of large-scale generative form, and the author’s attempts at delegating such decisions to a metacreative system by describing several of his generative systems and their approach to structure. The author will describe in greater detail his latest system — The Indifference Engine — and how it negotiates between agent intentions and performance information derived from a live performer.
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Zhang, Xiang, and Qiang Yang. "Transfer Hierarchical Attention Network for Generative Dialog System." International Journal of Automation and Computing 16, no. 6 (October 16, 2019): 720–36. http://dx.doi.org/10.1007/s11633-019-1200-0.

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Abstract In generative dialog systems, learning representations for the dialog context is a crucial step in generating high quality responses. The dialog systems are required to capture useful and compact information from mutually dependent sentences such that the generation process can effectively attend to the central semantics. Unfortunately, existing methods may not effectively identify importance distributions for each lower position when computing an upper level feature, which may lead to the loss of information critical to the constitution of the final context representations. To address this issue, we propose a transfer learning based method named transfer hierarchical attention network (THAN). The THAN model can leverage useful prior knowledge from two related auxiliary tasks, i.e., keyword extraction and sentence entailment, to facilitate the dialog representation learning for the main dialog generation task. During the transfer process, the syntactic structure and semantic relationship from the auxiliary tasks are distilled to enhance both the word-level and sentence-level attention mechanisms for the dialog system. Empirically, extensive experiments on the Twitter Dialog Corpus and the PERSONA-CHAT dataset demonstrate the effectiveness of the proposed THAN model compared with the state-of-the-art methods.
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Bengu, Golgen, and Jorge Haddock. "A generative simulation-optimization system." Computers & Industrial Engineering 10, no. 4 (January 1986): 301–13. http://dx.doi.org/10.1016/0360-8352(86)90016-1.

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Dissertations / Theses on the topic "Generative System"

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Magill, W. R. "A generative Computer Aided Process Planning system." Thesis, University of Newcastle Upon Tyne, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328585.

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Busatta, Gianluca. "Italian Retrieval-Augmented Generative Question Answering System for Legal Domains." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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A typical scenario involves a user searching an information about something and obtaining a list of documents from an information retrieval system. The retrieved documents may be more or less relevant and it could happen that the information sought is contained in several documents. This would possibly leave the task of searching the information in different documents to the user. In this thesis, it is has been developed an Italian question answering system for legal domains with a Retrieval-Augmented Generation (RAG) approach that aims to directly satisfy the information need of the user. The model is composed of a retriever and a generator both of which are based on Transformer and it has been trained firstly in a self-supervised way on the library of Gruppo Maggioli company, and then in a supervised way on a novel Italian question answering dataset build on purpose. Once the user has provided an input, the model automatically retrieves possibly relevant documents from the knowledge base and use them to condition the generation of an appropriate answer.
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Huang, Hefeng. "A generative process planning system for turned components." Thesis, University of Manchester, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260091.

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Stenhagen, Petter. "Improving Realism in Synthetic Barcode Images using Generative Adversarial Networks." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151959.

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This master thesis explores the possibility of using generative Adversarial Networks (GANs) to refine labeled synthetic code images to resemble real code images while preserving label information. The GAN used in this thesis consists of a refiner and a discriminator. The discriminator tries to distinguish between real images and refined synthetic images. The refiner tries to fool the discriminator by producing refined synthetic images such that the discriminator classify them as real. By updating these two networks iteratively, the idea is that they will push each other to get better, resulting in refined synthetic images with real image characteristics. The aspiration, if the exploration of GANs turns out successful, is to be able to use refined synthetic images as training data in Semantic Segmentation (SS) tasks and thereby eliminate the laborious task of gathering and labeling real data. Starting off from a foundational GAN-model, different network architectures, hyperparameters and other design choices are explored to find the best performing GAN-model. As is widely acknowledged in the relevant literature, GANs can be difficult to train and the results in this thesis are varying and sometimes ambiguous. Based on the results from this study, the best performing models do however perform better in SS tasks than the unrefined synthetic set they are based on and benchmarked against, with regards to Intersection over Union.
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Birgersson, Anna, and Klara Hellgren. "Texture Enhancement in 3D Maps using Generative Adversarial Networks." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162446.

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In this thesis we investigate the use of GANs for texture enhancement. To achievethis, we have studied if synthetic satellite images generated by GANs will improvethe texture in satellite-based 3D maps. We investigate two GANs; SRGAN and pix2pix. SRGAN increases the pixelresolution of the satellite images by generating upsampled images from low resolutionimages. As for pip2pix, the GAN performs image-to-image translation bytranslating a source image to a target image, without changing the pixel resolution. We trained the GANs in two different approaches, named SAT-to-AER andSAT-to-AER-3D, where SAT, AER and AER-3D are different datasets provided bythe company Vricon. In the first approach, aerial images were used as groundtruth and in the second approach, rendered images from an aerial-based 3D mapwere used as ground truth. The procedure of enhancing the texture in a satellite-based 3D map was dividedin two steps; the generation of synthetic satellite images and the re-texturingof the 3D map. Synthetic satellite images generated by two SRGAN models andone pix2pix model were used for the re-texturing. The best results were presentedusing SRGAN in the SAT-to-AER approach, in where the re-textured 3Dmap had enhanced structures and an increased perceived quality. SRGAN alsopresented a good result in the SAT-to-AER-3D approach, where the re-textured3D map had changed color distribution and the road markers were easier to distinguishfrom the ground. The images generated by the pix2pix model presentedthe worst result. As for the SAT-to-AER approach, even though the syntheticsatellite images generated by pix2pix were somewhat enhanced and containedless noise, they had no significant impact in the re-texturing. In the SAT-to-AER-3D approach, none of the investigated models based on the pix2pix frameworkpresented any successful results. We concluded that GANs can be used as a texture enhancer using both aerialimages and images rendered from an aerial-based 3D map as ground truth. Theuse of GANs as a texture enhancer have great potential and have several interestingareas for future works.
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Jiang, Bing. "A coding scheme based generative capp system for prismatic components using expert system methodology /." Title page, table of contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09ENS/09ensj61.pdf.

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Gu, Ning. "Dynamic Designs of Virtual Worlds Using Generative Design Agents." Thesis, The University of Sydney, 2006. http://hdl.handle.net/2123/984.

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This research aims at developing a different kind of virtual world that is dynamically designed and implemented as needed. Currently, most virtual world designs are considered static. Similar to the physical world, these worlds are pre-defined prior to their use. The resultant environments serve certain purposes but do not take into consideration possible changes to the purposes during their use, changes which often occur when the occupants interact with the environments and with each other. Virtual worlds as networked environments can be flexibly configured and programmed. This flexibility makes it possible to consider virtual world designs in terms of dynamics and autonomy, reflecting the changing needs of different moments. To achieve dynamic designs of virtual worlds, this study applies a computational approach using rational design agents. A Generative Design Agent (GDA) model is developed that specifies computational processes for reasoning and designing in virtual worlds. The GDAs serve as personal design agents to the virtual world occupants. Design formalisms for virtual worlds are also addressed. The design component of a GDA is supported by the application of a generative design grammar. On one hand, generative design grammars serve as the generative force to be applied by the GDAs for virtual world design automation. On the other hand, each grammar defines coherent stylistic characterisations shared by the virtual world designs it generates. The technical outcomes of the research consist of the GDA model and a generative design grammar framework. The framework provides guidelines and strategies to designers for developing generative design grammars that produce different design languages for virtual worlds, rather than predefine every detail of all possible virtual world designs. GDAs monitor the virtual worlds and the various activities that occur in the worlds, interpret the occupants’ needs in the virtual worlds and the state of the worlds based on these observations, hypothesise design goals in order to satisfy these needs, and finally apply generative design grammars to provide virtual world designs for the moment, or initiate other actions in the worlds, according to the current design goals, on behalf of the occupants. The development of the GDA model and the generative design grammar framework provides new perspectives for understanding and developing virtual worlds. The GDA model challenges the conventional way that virtual worlds are designed and implemented, and this leads to dynamic designs of virtual worlds. The generative design grammar framework provides a computational approach to formally defining design languages for virtual worlds.
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Gu, Ning. "Dynamic Designs of Virtual Worlds Using Generative Design Agents." Architecture, 2006. http://hdl.handle.net/2123/984.

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Doctor of Philosophy (PhD)
This research aims at developing a different kind of virtual world that is dynamically designed and implemented as needed. Currently, most virtual world designs are considered static. Similar to the physical world, these worlds are pre-defined prior to their use. The resultant environments serve certain purposes but do not take into consideration possible changes to the purposes during their use, changes which often occur when the occupants interact with the environments and with each other. Virtual worlds as networked environments can be flexibly configured and programmed. This flexibility makes it possible to consider virtual world designs in terms of dynamics and autonomy, reflecting the changing needs of different moments. To achieve dynamic designs of virtual worlds, this study applies a computational approach using rational design agents. A Generative Design Agent (GDA) model is developed that specifies computational processes for reasoning and designing in virtual worlds. The GDAs serve as personal design agents to the virtual world occupants. Design formalisms for virtual worlds are also addressed. The design component of a GDA is supported by the application of a generative design grammar. On one hand, generative design grammars serve as the generative force to be applied by the GDAs for virtual world design automation. On the other hand, each grammar defines coherent stylistic characterisations shared by the virtual world designs it generates. The technical outcomes of the research consist of the GDA model and a generative design grammar framework. The framework provides guidelines and strategies to designers for developing generative design grammars that produce different design languages for virtual worlds, rather than predefine every detail of all possible virtual world designs. GDAs monitor the virtual worlds and the various activities that occur in the worlds, interpret the occupants’ needs in the virtual worlds and the state of the worlds based on these observations, hypothesise design goals in order to satisfy these needs, and finally apply generative design grammars to provide virtual world designs for the moment, or initiate other actions in the worlds, according to the current design goals, on behalf of the occupants. The development of the GDA model and the generative design grammar framework provides new perspectives for understanding and developing virtual worlds. The GDA model challenges the conventional way that virtual worlds are designed and implemented, and this leads to dynamic designs of virtual worlds. The generative design grammar framework provides a computational approach to formally defining design languages for virtual worlds.
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Mincolla, Andrea. "Space Systems of Systems Generative Design Using Concurrent MBSE: An Application of ECSS-E-TM-10-25 and the GCD Tool to Copernicus Next Generation." Thesis, KTH, Rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286332.

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The Concurrent Design Platform 4 (CDP4®) is a collaborative Model-Based Systems Engineering (MBSE) software tool conceived for architecting complex systems. Nevertheless, there are limitations concerning the manageable number of system options. The upcoming Siemens tool for generative engineering, Simcenter™ Studio, is attempting to overcome this limitation by enabling automatic synthesis and evaluation of architecture variants. The motivation for the Generative Concurrent Design (GCD) project as a collaboration between RHEA, Siemens and OHB is to develop a combined prototype of these two tools. This thesis presents a modelling of Copernicus Next Generation (CNG) space component, using generative capabilities in a typical Phase-0 study. It represents the third step of the bottom-up GCD validation process, intended to investigate how architecting differs among “Sub-system”, “Systems” and “Systems of Systems (SoS)”. Therefore, this work provides an architecting strategy which is generalizable for other SoS use-cases and contributes to assess whether extensions to ECSS-E-TM-10-25 are necessary to successfully support GCD.
Concurrent Design Platform 4 (CDP4®) är ett samarbetsverktyg för modellbaserad systemteknik (MBSE) som utformats för att bygga komplexa system. Dock finns det begränsningar vad gäller det antalet hanterbara systemalternativ. Det kommande Siemens-verktyget för generativ teknik, Simcenter™ Studio, försöker övervinna denna begränsning genom att möjliggöra automatisk syntes och utvärdering av arkitekturvarianter. Motivationen för Generative Concurrent Design (GCD) -projektet som ett samarbete mellan RHEA, Siemens och OHB är att utveckla en kombinerad prototyp av verktygen CDP4® och Simcenter™. Detta examensarbete presenterar en modellering av rymdkomponenten Copernicus Next Generation (CNG) med användning av generativa funktioner i en typisk fas-0-studie. Den representerar det tredje steget i GCD-valideringsprocessen nedifrån och upp, avsedd att undersöka hur arkitekturen skiljer sig åt mellan "Sub-system", "Systems" och "Systems of Systems (SoS)". Detta arbete ger därför en arkitektonisk strategi som är generaliserbar för andra SoS-användningsfall och bidrar till att bedöma om förlängningar till ECSS-E-TM-10-25 är nödvändiga för att framgångsrikt stödja GCD.
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Pang, Jin. "A generative integrated and intelligent process planning system for machining parts." Thesis, Glasgow Caledonian University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287859.

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Books on the topic "Generative System"

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Kara, Rogers, ed. The reproductive system. New York: Britannica Educational Pub. in association with Rosen Educational Services, 2011.

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Florence, Haseltine, ed. Magnetic resonance of the reproductive system. Thorofare, N.J: SLACK Inc., 1987.

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Steve, Parker. The reproductive system. Austin, Tex: Raintree Steck-Vaughn, 1997.

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J, Williams C., and Whitehouse J. M. A, eds. Cancer of the female reproductive system. Chichester: Wiley, 1985.

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The Theta system: Argument structure at the interface. Oxford: Oxford University Press, 2012.

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Steve, Parker. The reproductive system: Injury, illness, and health. London: Heinemann Library, 2009.

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The reproductive system. New York: Marshall Cavendish Benchmark, 2010.

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B, Silverstein Virginia, and Silverstein Robert A, eds. The reproductive system. New York: Twenty-First Century Books, 1994.

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Estkowski, Tomasz. Towards a generative design system based on evolutionary computing. Oslo: Oslo School of Architecture and Design, 2013.

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Baban, Şêrko. Minimized phonology and phonetic system insertion. Erbil: Journal of Kurdish Linguistics (Zmannasi), 2015.

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Book chapters on the topic "Generative System"

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Huang, Yinghsiu, and Huan-Nian Chen. "Dynamic Generative Design System." In Lecture Notes in Computer Science, 133–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60114-0_9.

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Andrzejczak, Jarosław, and Kinga Glinka. "Generative Visual Identity System." In Advances in Intelligent Systems and Computing, 191–201. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10383-9_18.

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Draheim, Dirk, Christof Lutteroth, and Gerald Weber. "A Type System for Reflective Program Generators." In Generative Programming and Component Engineering, 327–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11561347_22.

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Paraguai, Luisa, Heloisa Candello, and Paulo Costa. "Collaborative System for Generative Design: Manipulating Parameters, Generating Alternatives." In Design, User Experience, and Usability: Theory, Methodology, and Management, 727–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58634-2_52.

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Czarnecki, Krzysztof. "Generative Programming and Software System Families." In Lecture Notes in Computer Science, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44806-3_1.

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Zhao, Zhengxu, and R. W. Baines. "CCSPLAN: A Generative Process Planning System." In Proceedings of the Thirtieth International MATADOR Conference, 527–34. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-13255-3_67.

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Noga, Markus, and Florian Krüper. "Optimizing Content Management System Pipelines Separation and Merging of Concerns." In Generative Programming and Component Engineering, 252–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45821-2_16.

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Roberts, Ian. "Remarks on the Old English C-system and the Diachrony of V2." In Language Change and Generative Grammar, 154–67. Wiesbaden: VS Verlag für Sozialwissenschaften, 1996. http://dx.doi.org/10.1007/978-3-322-90776-9_6.

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Sankar, Meena Parvathy, and N. G. David. "On Generative Power of Rewriting Graph P System." In Advances in Intelligent Systems and Computing, 419–29. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0199-9_36.

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Gullichsen, Eric, and Ernest Chang. "Generative Design in Architecture Using an Expert System." In Computer-Generated Images, 367–75. Tokyo: Springer Japan, 1985. http://dx.doi.org/10.1007/978-4-431-68033-8_32.

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Conference papers on the topic "Generative System"

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Hsu, Tse-Wie, Shang-Chia Chiou, and Jen Yen. "Vine grammar generative system." In CAADRIA 2010: New Frontiers. CAADRIA, 2010. http://dx.doi.org/10.52842/conf.caadria.2010.009.

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Black, Elizabeth, and Anthony Hunter. "A generative inquiry dialogue system." In the 6th international joint conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1329125.1329417.

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Mazurowski, Lukasz. "Generative electronic background music system." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912880.

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Haythornthwaite, C., K. J. Lunsford, M. M. Kazmer, J. Robins, and M. Nazarova. "The generative dance in pursuit of generative knowledge." In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the. IEEE, 2003. http://dx.doi.org/10.1109/hicss.2003.1174265.

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Qin, Liwen, Xiaoyong Yu, Yuteng Luo, Shan Li, and Yangjun Zhou. "Generative Adversarial Networks-based Distribution Network Operation Scenario Generation." In 2022 Power System and Green Energy Conference (PSGEC). IEEE, 2022. http://dx.doi.org/10.1109/psgec54663.2022.9881069.

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Veloso, Pedro, and Ramesh Krishnamurti. "From Black Box to Generative System." In 107th ACSA Annual Meeting. ACSA Press, 2019. http://dx.doi.org/10.35483/acsa.am.107.106.

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Alfaris, Anas, and Riccardo Merello. "The Generative Multi-Performance Design System." In ACADIA 2008: Silicon + Skin. ACADIA, 2008. http://dx.doi.org/10.52842/conf.acadia.2008.448.

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Wang, Kai, Mengji Ren, Tao Qian, Xuenong Li, Ligeng Pei, and Xin Zhang. "Renewable Scenario Generation Based on Improved Generative Adversarial Networks." In 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2021. http://dx.doi.org/10.1109/ei252483.2021.9713244.

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Li, Jiyun, and Yongliang Hong. "Label generation system based on generative adversarial network for medical image." In the 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3357254.3357256.

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H. Lee, Helena, Ke Shu, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, and Lav R. Varshney. "RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System." In WWW '20: The Web Conference 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3366424.3383536.

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Reports on the topic "Generative System"

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Schell, Laurie. Introduction to Case-making and Systems Change in Arts & Cultural Education. Creative Generation, February 2022. http://dx.doi.org/10.51163/creative-gen009.

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Introduction to Case-making and Systems Change in Arts & Cultural Education is an overview of a collaborative project between Creative Generation and ElevateArtsEd undertaken to better understand how practitioners - such as artists, educators, community leaders, and more - can make the case for and also advocate through arts and culture to drive systemic change and address complex challenges. The project seeks to expand the knowledge base of case-making and systems change in the field of arts and cultural education and provide resources to support effective actions for practitioners and young creatives. Investigating both the theory and the practice of case-making, the introductory article draws on research from three distinct sectors: cultural, education, and social justice. The approach represents both the science of advocacy-- building blocks for understanding what effective advocacy looks like-- and the art of advocacy with calls for improvisation, adaptability, and generative thinking, all characteristics of art making. The article describes six key learning themes and an expanded model for advocacy focused on self, field, and sector through an overarching lens of social justice.
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Shaw, Kristi Lee, and Geoff Bridgman. Creating Appreciation and Community Support for Mothers Caring for a Child with an Anxiety Disorder. Unitec ePress, February 2023. http://dx.doi.org/10.34074/mono.097.

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This research examined a unique approach to anxiety disorder, one of the most prevalent and growing mental health concerns internationally. It uncovered the mostly invisible and challenging experiences of mothers caring for a child with an anxiety disorder and the value of their reciprocal relationships with their children for both their health and wellbeing. In addition, it explored social identity in making meaningful connection using a generative action-oriented social approach to address anxiety in the community. An appreciative inquiry, using social constructionist theory, and underpinned by elements of kaupapa Māori values, was utilised to explore the research questions. The data was collected via paired interviews, focus groups and small questionnaires with three to four mothers, after which thematic analysis was undertaken to identify important themes.There were four key themes discovered in the findings: (1) the mothers’ ongoing and challenging experiences of being silenced and isolated on the fringes, navigating the quagmire of social and institutional systems to help them help their children; (2) the mothers’ learning to cope by creating calm in the home, the child, and in themselves, often requiring them to ‘suspend’ their lives until their children become more independent; (3) the mothers employing a mother as advocate identity to face the challenges, and co-creating a mother as advocate group identity to continue to face those challenges to design a collective initiative;and (4) the value of freedom that the mothers experienced participating in the appreciative inquiry process with other mothers facing similar challenges and sharing their stories.This study demonstrates how appreciative inquiry is aligned with and supports the value of social identity theory and creating meaningful connections to help position and address anxiety disorder in the community. A key insight gained in this study is that our current social and institutional systems create disconnection in many facets of Western life, which contributes to the generation and perpetuation of stigmatisation, isolation and anxiety disorder. Within a Western capitalistic and individualistic culture, mental illness has become predominantly pathologised and medicated, positioning anxiety disorder within the child, and relegating the social dimension of the biopsychosocial approach as almost irrelevant. As mothers in this system spend valuable energy advocating for more support for their children, they put their own mental health at risk. There is no one solution; however, this study demonstrates that when mothers are supported through an appreciative inquiry process, strengthening their personal and social identities, there is the potential for health and wellbeing to increase for them, their children and the community.
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Buchanan, Ben, Andrew Lohn, Micah Musser, and Katerina Sedova. Truth, Lies, and Automation: How Language Models Could Change Disinformation. Center for Security and Emerging Technology, May 2021. http://dx.doi.org/10.51593/2021ca003.

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Growing popular and industry interest in high-performing natural language generation models has led to concerns that such models could be used to generate automated disinformation at scale. This report examines the capabilities of GPT-3--a cutting-edge AI system that writes text--to analyze its potential misuse for disinformation. A model like GPT-3 may be able to help disinformation actors substantially reduce the work necessary to write disinformation while expanding its reach and potentially also its effectiveness.
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Ghosh, B. K. Visually guided control systems: A new generation of system analysis and design. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10147930.

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Macri, Frank. NEXT GENERATION TURBINE SYSTEM STUDY. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/806992.

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Granacki, John, Ivan Hom, and Tauseef Kazi. AUTO: Automatic Script Generation System. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada285897.

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Trubac, Kathryn, Caitlin Callaghan, Caylin Hartshorn, Tyler Elliott, Douglas Punt, and Christopher Donnelly. Cold regions vehicle start : cold performance of ultracapacitor-based batteries for Stryker vehicles. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45640.

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Reliable vehicle start is necessary to support mission success, especially for response time. At Department of Defense installations in cold regions, vehicles using rechargeable battery and starter technologies have significant issues starting in the cold. Ultracapacitor engine start modules (ESMs) are an alternate technology to rechargeable lead-acid or lithium-ion batteries. The project develops a performance baseline for the ESM used in the M1126 Stryker Combat Vehicle under cold conditions. To test the performance of the ESMs in a cold room, a mechanical load system was constructed to replicate the load of starting a Stryker engine and instrumented with sensors to monitor parameters such as voltage, torque, and temperature. The ESMs were tested with the load system at temperatures from 24°C to −40°C. The results of the tests showed that there was some degradation of the ultracapacitor’s performance at the colder temperatures, which was expected, but no permanent damage. This work provides a test protocol and capability to evaluate next-generation vehicle battery systems for cold regions applications. Additionally, the ESM cold performance data establish a baseline to compare next-generation vehicle battery storage systems and to support cold regions missions and identify potential performance requirements for future vehicle battery system acquisition.
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Morrisett, Greg. Next Generation Systems Languages. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada467170.

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

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Survey vehicles, operating at traffic-speed, are deployed across the road network to assess the condition of road pavements. These apply high-quality (and high cost) equipment to measure condition. However, significant progress has been made in the development of low-cost sensors and data collection units that may have potential for application in highways. This project has aimed to understand the capabilities of this emerging technology. The project explores the technologies and combines a Raspberry-Pi based Data Acquisition System, compact camera, GPS, inertial measurement system, Wifi and 4G GSM comms and a low-cost Solid State LiDAR into a prototype device. The total cost is a few hundred pounds. Trials characterise the prototype system. Although the solid-state LiDAR sensors are not found to be robust in this application, the remaining sensors show strong potential for use in road condition assessment. A wider trial of the prototype system in a potential application – the measurement of roughness (IRI) on developing world road networks – was carried out in El Salvador. The prototype shows comparable performance with alternatives, combined with higher levels of practicality and capability, and the potential for higher levels of consistency through a common low-cost measurement platform. In the light of this research, it is felt that, following refinements to the prototype, the initial application for the device would be for condition surveys in developing world nations.
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O`Neill, M. J., and A. J. McDanal. Fourth-generation photovoltaic concentrator system development. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/119292.

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