Academic literature on the topic 'Enriched input'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Enriched input.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Enriched input"
1
Hsu, Chao-Chun, Zi-Yuan Chen, Chi-Yang Hsu, et al. "Knowledge-Enriched Visual Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7952–60. http://dx.doi.org/10.1609/aaai.v34i05.6303.
Full textAbstract:
Stories are diverse and highly personalized, resulting in a large possible output space for story generation. Existing end-to-end approaches produce monotonous stories because they are limited to the vocabulary and knowledge in a single training dataset. This paper introduces KG-Story, a three-stage framework that allows the story generation model to take advantage of external Knowledge Graphs to produce interesting stories. KG-Story distills a set of representative words from the input prompts, enriches the word set by using external knowledge graphs, and finally generates stories based on the enriched word set. This distill-enrich-generate framework allows the use of external resources not only for the enrichment phase, but also for the distillation and generation phases. In this paper, we show the superiority of KG-Story for visual storytelling, where the input prompt is a sequence of five photos and the output is a short story. Per the human ranking evaluation, stories generated by KG-Story are on average ranked better than that of the state-of-the-art systems. Our code and output stories are available at https://github.com/zychen423/KE-VIST.
2
Kwon, Kiwook, Hyung Chul Koh, and Yong-Woo Jeon. "Economical Configuration of Oxygen-Enriched Air Production Process Using Polysulfone-Based Composite Membranes." Processes 11, no. 11 (2023): 3195. http://dx.doi.org/10.3390/pr11113195.
Full textAbstract:
Oxygen-enriched combustion technology is an emerging incineration method suitable for waste treatment. In this study, we investigated an economical modular configuration method for oxygen-enriched air production using gas separation membrane technology. Various module configurations were examined based on input pressure, gas temperature, sweep, and multistage module arrangement, and an optimal economically viable configuration was proposed. Using a polysulfone-based polymer membrane module, oxygen-enriched air with an oxygen concentration of 40–65% was produced. Even in cases of low input pressures achieved using a vacuum pump at the permeate side, oxygen-enriched air with concentrations >40% was achieved, with an approximately 20% increase in the permeation flow rate. As the permeation rate increased with increasing temperature, the oxygen recovery efficiency decreased. When the membrane area was increased, the corresponding increase in the input pressure did not result in a proportional increase in the permeation rate compared with single-module setups. Through multistage module arrangements, oxygen-enriched air with a maximum oxygen concentration of 66% was produced. By employing sweep that recirculated a portion of input air to the permeate side, the production of oxygen-enriched air was enhanced by approximately 38%. Therefore, the proposed process involving low input pressure, vacuum pumps, and sweeping was optimal for oxygen-enriched air production.
3
Marsden, Emma. "Exploring Input Processing in the Classroom: An Experimental Comparison of Processing Instruction and Enriched Input." Language Learning 56, no. 3 (2006): 507–66. http://dx.doi.org/10.1111/j.1467-9922.2006.00375.x.
Full text
4
sajjadi, Mansoureh. "Are the Forms Targeted in the Enriched Input Noticed by Learners." International Journal of Language and Linguistics 2, no. 6 (2014): 374. http://dx.doi.org/10.11648/j.ijll.20140206.16.
Full text
5
Madhiarasan, M. "Enriched global horizontal irradiance prediction using novel ensemble improved backpropagation neural network." ITM Web of Conferences 45 (2022): 01060. http://dx.doi.org/10.1051/itmconf/20224501060.
Full textAbstract:
Penetration of solar energy into the power grid and smart grid is becoming an urge because of the continuous progress in industrialization and advancement. Requires a high accurate Global Horizontal Irradiance (GHI) prediction to achieve effective penetration of solar energy. This paper proposes a novel Ensemble Improved Backpropagation Neural Network (EIBPNN) with enhanced generalization ability because it is developed based on the various inputs’ individual improved backpropagation neural networks. Hence, the variance of individual IBPNN and input parameters based uncertainty are overcome and has the generic performance capability. The comparative analysis imparts the proposed prediction model results improved GHI prediction than the existing models. The proposed model has enriched GHI prediction with better generalization.
6
Das, Nilakhi, Jogesh Goswami, Nayan Jyoti Ojha, J. C. Das, K. N. Das, and Hemanta Saikia. "Effect of Panchagavya as Organic Input on Growth, Yield and Economics of Late Sown Rapeseed." International Journal of Current Microbiology and Applied Sciences 12, no. 3 (2023): 177–88. http://dx.doi.org/10.20546/ijcmas.2023.1203.022.
Full textAbstract:
A field experiment was conducted in ICR farm of Assam Agricultural University, Jorhat to evaluate the effect panchagavya on growth, yield and economics late sown rapeseed in Assam condition during rabi season, 2020-21. The experiment was laid out in Randomised Block Design with three replications and eight treatments like T1: control, T2: RDN through vermicompost (VC), T3: Vedic panchagavya soil application (3%), T4: 1 tonne VC/ha as basal + vedic panchagavya foliar application (3%), T5: enriched panchagavya soil application(3%), T6: enriched panchagavya foliar application(3%), T7: vedic panchagavya basal application (1.5%) + vedic panchagavya foliar application (1.5%), T8: enriched panchagavya basal application(1.5%) + enriched panchagavya foliar application(1.5%). Results showed that T4 was found to be best among all the treatments regarding growth, yield characteristics, and yield of the late sown rapeseed. The highest values of the growth metrics as well as yield metrics were recorded under treatment T4. This treatment produced the highest seed yield (6.89 q/ha) and stover yield (20.48 q/ha). Likewise, the highest oil yield (258.91 kg/ha) of rapeseed and highest gross return (Rs. 55120/ha) was observed in T4 treatment. But, the maximum net return (Rs. 34020/ha) and B:C ratio (1.90) were recorded under treatment T5.
7
김도연. "Students’ Learning Process of Input Processing and Output-enriched Consciousness-raising Instruction." English Language Teaching 23, no. 4 (2012): 47–78. http://dx.doi.org/10.17936/pkelt.2012.23.4.003.
Full text
8
Woźniak, Kinga Anna, Olmo Cerri, Javier M. Duarte, et al. "New Physics Agnostic Selections For New Physics Searches." EPJ Web of Conferences 245 (2020): 06039. http://dx.doi.org/10.1051/epjconf/202024506039.
Full textAbstract:
We discuss a model-independent strategy for boosting new physics searches with the help of an unsupervised anomaly detection algorithm. Prior to a search, each input event is preprocessed by the algorithm - a variational autoencoder (VAE). Based on the loss assigned to each event, input data can be split into a background control sample and a signal enriched sample. Following this strategy, one can enhance the sensitivity to new physics with no assumption on the underlying new physics signature. Our results show that a typical BSM search on the signal enriched group is more sensitive than an equivalent search on the original dataset.
9
Alshehri, Ahmed, Saddah Aldossary, Mohammad Jamshed, and Sameena Banu. "Examining the Efficacy of Blended Learning Inputs in Enhancing Saudi Students’ English Language Skills." Theory and Practice in Language Studies 15, no. 4 (2025): 1308–17. https://doi.org/10.17507/tpls.1504.29.
Full textAbstract:
The application of blended learning is increasingly becoming an essential aspect of the pedagogical approaches for English language instruction at all stages of learning, from elementary school to university. As only a few research studies have explored blended learning's efficacy in enhancing English skills, this current study seeks to investigate the efficacy of various blended learning inputs in enhancing the English language proficiency of business students. The study adopted an experimental design with five intact classes as experimental and control groups. 197 participants from intact classes were selected through purposive sampling from the College of Business Administration, Prince Sattam Bin Abdulaziz University, Saudi Arabia. Participants from five intact classes were exposed to different blended instructional inputs: the rotation instructional input, flex instructional input, self-blend instructional input, and enriched-virtual blended instructional input, with a fifth class using the communicative language teaching approach as a control. Data were collected through standardized TOEFL pre-and post-tests. Results of the study demonstrated significant improvements in English proficiency across all groups, with the rotation model proving most effective. These findings offer valuable insights for curriculum designers, training program developers, and other stakeholders in various disciplines.
10
Shatz, Marilyn, Erika Hoff-Ginsberg, and Douglas Maciver. "Induction and the acquisition of English auxiliaries: the effects of differentially enriched input." Journal of Child Language 16, no. 1 (1989): 121–40. http://dx.doi.org/10.1017/s0305000900013477.
Full textAbstract:
ABSTRACTChildren aged 2;0 to 2;6 participated in a longitudinal study examining their acquisition of the English auxiliary system following a six-week period in which they were exposed to additional auxiliary input in varying sentence contexts. Groups of children received enrichment utterances with the auxiliary could either in first position in the sentence, in middle position, or in both positions. Children in the front position group were significantly advanced over the other experimental groups in acquiring modal auxiliaries but not non-modals. However, none of the experimental groups differed significantly from a baseline group which received no additional could input. The implications of these findings for understanding the mechanisms of auxiliary acquisition and the nature of children's grammatical categories are discussed.
Dissertations / Theses on the topic "Enriched input"
1
Almeida, Rodrigo Andrade Botelho de. "Contribution aux techniques pour enrichir l'espace moteur et l'espace visuel des dispositifs d'interaction bureautique." Phd thesis, Conservatoire national des arts et metiers - CNAM, 2009. http://tel.archives-ouvertes.fr/tel-00555505.
Full textAbstract:
De nombreux travaux ont montré que, à l'origine des limitations de l'interaction bureautique, il y a un manque à la fois d'espace moteur et d'espace visuel.Cette thèse explore des moyens pour optimiser l'usage de ces espaces.D'une part, à partir du constat que l'on contrôle la position et l'orientation d'un objet par un geste naturel, cette thèse étudie les bénéfices que peut offrir une souris dotée d'un capteur de rotation. Cette < souris rotative > permet à l'utilisateur de maîtriser avec aisance trois variables continues d'une tâche informatique. Un état de l'art présente des aspects perceptifs et moteurs des actions en question et les particularités ergonomiques et techniques d'un tel dispositif. Deux techniques d'interaction - visant à faciliter des tâches métier récurrentes - sont proposées :le réglage < quasi-intégral > et la < palette satellitaire >. Par ailleurs, une évaluation expérimentale compare la performance d'une souris rotative avec celle d'une souris traditionnelle.D'autre part, ce travail se penche sur les questions de la visualisation de documents dans le contexte des bibliothèques numériques. D'abord, il examine l'apport et la faisabilité technique de l'utilisation d'un dispositif d'affichage immersif pour la navigation dans un catalogue de titres virtuel. Puis, afin de faciliter l'inspection massive d'un lot de pages numérisées, il avance des techniques de visualisation zoomables et multi-focales. Ces dernières permettent, dans une recherche d'anomalies, de saisir vite les caractéristiques visuelles de quelques centaines de pages. Et cela grâce à un va-et-vient entre la vue d'ensemble et la navigation panoramique des détails.
2
Almeida, Rodrigo Andrade Botelho de. "Contribution aux techniques pour enrichir l'espace moteur et l'espace visuel des dispositifs d'interaction bureautique." Phd thesis, Paris, CNAM, 2009. https://theses.hal.science/tel-00555505.
Full textAbstract:
Past research has suggested that among the reasons for the limitations of present deskop interaction style is the lack of both motor and visual space. The goal of this thesis is to optimize the use of such spaces. Based on the fact that one can control an object's position and orientation through a natural movement, the first main contribution of this thesis is to explore the adavantages of enhacing the sensing of the standard mouse through a rotation sensor. This "rotary mouse" allows one to easily control three continuous variables of a computer task. A survey presents the perceptual and motor issues of some rotary manipulations and also the technical and ergonomic requirements of such device. Two interaction techniques, aimed to simplify repetitive tasks, are proposed : the "nearly-integral selection" and the "satellite palette". Furthermore, an experimental evaluation compares the performance of the rotary mouse with that a standard one. The other main contributions of this work is to investigate document visualization issues in the context of digital libraries. First, it analyses the advantages and the technical feasability of integrating an immersive display to an interface aimed to support navigation in a virtual catalog. Second, in order to inspect the quality of a batch of digitized pages, it explores some zoomable and multi-focal vizualization techniques. The overwiew and the panoramic detail browsing enabled by such techniques try to help users, which have to identify the flaws resulted from the digitization process, to quickly grasp the visual characteristics of a large set of pages<br>De nombreux travaux ont montré que, à l'origine des limitations de l'interaction bureautique, il y a un manque à la fois d'espace moteur et d'espace visuel. Cette thèse explore des moyens pour optimiser l'usage de ces espaces. D'une part, à partir du constat que l'on contrôle la position et l'orientation d'un objet par un geste naturel, cette thèse étudie les bénéfices que peut offrir une souris dotée d'un capteur de rotation. Cette "souris rotative" permet à l'utilisateur de maîtrise avec aisance trois variables continues d'une tâche informatique. Un état de l'art présente des aspects perceptifs et moteurs des actions en question et les particularités ergonomiques et techniques d'un tel dispositif. Deux techniques d'interaction - visant à faciliter des tâches métier récurrentes- sont proposées : le réglage "quasi-intégral" et la "palette satellitaire". Par ailleurs, une évaluation expériemntale compare la performance d'une souris rotative avec celle d'une souris traditionnelle. D'autre part, ce travail se penche sur les questions de la visualisation de documents dans le contexte des bibliothèques numériques. D'abord, il examine l'apport et la faisabilité technique de l'utilisation d'un dispositif d'affichage immersif pour la navigation dans un catalogue de titres virtuel. Puis, afin de faciliter l'inspection massive d'un lot de pages numérisées, il avance des techniques de visualisation zoomables et multifocales. Ces dernières permettent, dans une recherche d'anomalies, de saisir vite les carctéristiques visuelles de quelques centaines de pages. Et cela grâce à un va-et-vient entre la vue d'ensemble et la navigation panoramique des détails
Books on the topic "Enriched input"
1
de Almeida, Roberto G., and Ernie Lepore. Semantics for a Module. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0006.
Full textAbstract:
Fodor’s The Modularity of Mind (1983) and subsequent work propose a principled distinction between perceptual computations and background knowledge. The chapter argues that language input analyzers produce a minimally—and highly constrained—context-sensitive propositional representation of the sentence, built up from sentence constituents. Compatible with the original Modularity story, it thus takes the output of sentence perception to be a “shallow” representation—though a semantic one. The empirical data discussed bear on alleged cases of sentence indeterminacy and how such cases might be assigned (shallow) semantic representations, interact with context in highly regulated ways, and whether and how they can be enriched. The chapter proposes a semantic level of representation that serves as output of the module and as input to other systems of interpretation, arguing for a form of modularity or encapsulation that is minimally context-sensitive provided that the information from context is itself determined by linguistic principles.
2
Foster, Caroline E. Global Regulatory Standards in Environmental and Health Disputes. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198810551.001.0001.
Full textAbstract:
Potentially global regulatory standards are emerging from the environmental and health jurisprudence of the International Court of Justice, the World Trade Organization, under the United Nations Convention on the Law of the Sea, and investor-state dispute settlement. Most prominent are the three standards of regulatory coherence, due regard for the rights of others, and due diligence in the prevention of harm. These global regulatory standards are a phenomenon of our times, representing a new contribution to the ordering of the relationship between domestic and international law, and inferring a revised conception of sovereignty in an increasingly pluralistic global legal era. However, considered with regard to jurisprudential theory on relative authority, the legitimacy of the resulting ‘standards-enriched’ international law remains open to question. Procedurally, although they are well-placed to provide valuable input, international courts and tribunals should not be the only fora in which these standards are elaborated. Substantively, challenges and opportunities lie ahead in the ongoing development of global regulatory standards. Debate over whether regulatory coherence should go beyond reasonableness and rationality requirements and require proportionality in the relationship between regulatory measures and their objectives is central. Due regard, the most novel of the emerging standards, may help protect international law’s legitimacy claims in the interim. Meanwhile, all actors should attend to the integration rather than the fragmentation of international law, and to changes in the status of private actors.
3
Townley, Christopher, Mattia Guidi, and Mariana Tavares. The Law and Politics of Global Competition. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198859789.001.0001.
Full textAbstract:
This book discusses the International Competition Network’s (ICN) formally neutral structures that provide powerful influence mechanisms for strong national competition authorities (NCAs), non-governmental actors (NGAs), and competition experts over wider state interests. It highlights the legitimacy of ICN from a political and legal theory perspective and analyses the ICN’s effectiveness and efficiency. It also describes the ICN as a transnational network that is set up by its members, without wider state input. The book points out how the ICN has sought to enrich its discussions and outputs through the inclusion of NGAs, principally large multi-nationals and legal and economic professions. It reviews ICN’s mission, which is to advocate the adoption of superior standards and procedures in competition policy around the world, formulate proposals for procedural and substantive convergence, and seek to facilitate effective international cooperation to the benefit of member agencies, consumers, and economies worldwide.
4
Sahay, Sundeep, T. Sundararaman, and Jørn Braa. Strengthening Healthcare Systems and Health Information Systems. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198758778.003.0010.
Full textAbstract:
Establishment of health information systems has been a central objective of health sector reform in nearly all LMICs over the last two to three decades. Historically, reform processes have taken introduction of health information systems as inhertently strengthening health sector performance. But today it is more appropriate to talk of health sector strengthening as co-evolving with health information systems strengthening, each reinforcing the performance and reform agendas of the other. The need to build synergies is heightened as there are a multitude of global and national health reform processes underway, like those assoicated with the sustainable development goals or with universal health coverage and each of these have expanded informational needs, requiring robust, flexible, and evolving health information systems. An understanding of the challenges faced by efforts at health systems strengthening helps provide meaningful inputs into health information systems design and vice versa. Such an understanding will enrich public health informatics as an academic discipline, as an area of practice, and as a policy domain.
Book chapters on the topic "Enriched input"
1
Biermann, Daniel, Morten Goodwin, and Ole-Christoffer Granmo. "Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17030-0_1.
Full textAbstract:
AbstractSophisticated applications in natural language processing, such as conversational agents, often need to be able to generalize across a range of different tasks to generate natural-feeling language. In this paper, we introduce a model that aims to improve generalizability with regard to different tasks by combining the original input with the output of a task-specific expert. Through a combination mechanism, we create a new representation that has been enriched with the information given by the expert. These enriched representations then serve as input to a downstream model. We test three different combination mechanisms in two combination paradigms and evaluate the performance of the new enriched representation in a simple encoder-decoder model. We show that even very simple combination mechanisms are able to significantly improve performance of the downstream model. This means that the encoded expert information is transported through the new enriched input representation, leading to a beneficial impact on performance within the task domain. This opens the way for exciting future endeavors such as testing performance on different task domains and the combination of multiple experts.
2
Orgun, Orhan, and Ronald Sprouse. "Chapter 5 A freer input: Yowlumne opacity and the Enriched Input Model." In Freedom of Analysis? Mouton de Gruyter, 2007. http://dx.doi.org/10.1515/9783110198591.93.
Full text
3
Řezáčková, Markéta, and Jindřich Matoušek. "Text-to-Text Transfer Transformer Phrasing Model Using Enriched Text Input." In Text, Speech, and Dialogue. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16270-1_32.
Full text
4
Boudhiba, Imen, Christophe Gaston, Pascale Le Gall, and Virgile Prevosto. "Model-Based Testing from Input Output Symbolic Transition Systems Enriched by Program Calls and Contracts." In Testing Software and Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25945-1_3.
Full text
5
Tapia-Harper, Susana, Ilse A. Reyes, Alfredo Juarez, Alejandro Cuaron, and Brenton L. Woods. "ASTM G86-17 Determining Ignition Sensitivity of Materials to Mechanical Impact in Ambient Liquid Oxygen and Pressurized Liquid and Gaseous Oxygen Environments: A Modern Day Evaluation of Input Energy and Calibration Variations between Ambient and Pressurized Testers for an Improved Test Method." In Flammability and Sensitivity of Materials in Oxygen-Enriched Atmospheres: 15th Volume. ASTM International, 2021. http://dx.doi.org/10.1520/stp162620200035.
Full text
6
Palm, Harry W., Ulrich Knaus, Samuel Appelbaum, Sebastian M. Strauch, and Benz Kotzen. "Coupled Aquaponics Systems." In Aquaponics Food Production Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15943-6_7.
Full textAbstract:
AbstractCoupled aquaponics is the archetype form of aquaponics. The technical complexity increases with the scale of production and required water treatment, e.g. filtration, UV light for microbial control, automatic controlled feeding, computerization and biosecurity. Upscaling is realized through multiunit systems that allow staggered fish production, parallel cultivation of different plants and application of several hydroponic subsystems. The main task of coupled aquaponics is the purification of aquaculture process water through integration of plants which add economic benefits when selecting suitable species like herbs, medicinal plants or ornamentals. Thus, coupled aquaponics with closed water recirculation systems has a particular role to fulfil.Under fully closed recirculation of nutrient enriched water, the symbiotic community of fish, plants and bacteria can result in higher yields compared with stand-alone fish production and/or plant cultivation. Fish and plant choices are highly diverse and only limited by water quality parameters, strongly influenced by fish feed, the plant cultivation area and component ratios that are often not ideal. Carps, tilapia and catfish are most commonly used, though more sensitive fish species and crayfish have been applied. Polyponics and additional fertilizers are methods to improve plant quality in the case of growth deficiencies, boosting plant production and increasing total yield.The main advantages of coupled aquaponics are in the most efficient use of resources such as feed for nutrient input, phosphorous, water and energy as well as in an increase of fish welfare. The multivariate system design approach allows coupled aquaponics to be installed in all geographic regions, from the high latitudes to arid and desert regions, with specific adaptation to the local environmental conditions. This chapter provides an overview of the historical development, general system design, upscaling, saline and brackish water systems, fish and plant choices as well as management issues of coupled aquaponics especially in Europe.
7
Kanis, Marije, Saskia Robben, and Ben Kröse. "How Are You Doing? Enabling Older Adults to Enrich Sensor Data with Subjective Input." In Human Behavior Understanding. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24195-1_4.
Full text
8
Zentgraf, Sven, Sherief Ali, and Markus König. "Concept for Enriching NISO-STS Standards with Machine-Readable Requirements and Validation Rules." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.72.
Full textAbstract:
During building project planning, various standards, such as material specifications, value ranges, and construction regulations, must be considered. When analyzing a regulation for its BIM-based use, it must be identified which information can be checked directly or indirectly using a BIM model. The basis for the directly checkable information requirements is the explicit description of object classes, object types, properties, and values. Additionally, complex validation rules can be derived from the standards. These information extractions are mostly performed manually and laboriously on text-based regulatory documents. To provide a better data format, the NISO proposed the Standard Tag Suite (NISO-STS), which is an XML format for publishing and exchanging full-text content and metadata of standards. This paper proposes a concept to enrich standards in NISO-STS format with information requirements and validation rules to provide a machine-interpretable semantic knowledge base for BIM processes. To achieve this, the concept utilizes natural language processing (NLP) methods to extract semantic information from the standards. Furthermore, the paper introduces a workflow to transfer the gathered knowledge into the XML-based standard. This allows the acquired semantic knowledge to be used BIM-based and directly updated in future versions of the standards. To show the applicability of the concept an approach is presented in which the obtained information is stored and used as a queryable knowledge base. The resulting database is used by a querying assistant, in which a user can enter keywords and questions that are translated into SPARQL queries to provide answers for the given input
9
Zentgraf, Sven, Sherief Ali, and Markus König. "Concept for Enriching NISO-STS Standards with Machine-Readable Requirements and Validation Rules." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.72.
Full textAbstract:
During building project planning, various standards, such as material specifications, value ranges, and construction regulations, must be considered. When analyzing a regulation for its BIM-based use, it must be identified which information can be checked directly or indirectly using a BIM model. The basis for the directly checkable information requirements is the explicit description of object classes, object types, properties, and values. Additionally, complex validation rules can be derived from the standards. These information extractions are mostly performed manually and laboriously on text-based regulatory documents. To provide a better data format, the NISO proposed the Standard Tag Suite (NISO-STS), which is an XML format for publishing and exchanging full-text content and metadata of standards. This paper proposes a concept to enrich standards in NISO-STS format with information requirements and validation rules to provide a machine-interpretable semantic knowledge base for BIM processes. To achieve this, the concept utilizes natural language processing (NLP) methods to extract semantic information from the standards. Furthermore, the paper introduces a workflow to transfer the gathered knowledge into the XML-based standard. This allows the acquired semantic knowledge to be used BIM-based and directly updated in future versions of the standards. To show the applicability of the concept an approach is presented in which the obtained information is stored and used as a queryable knowledge base. The resulting database is used by a querying assistant, in which a user can enter keywords and questions that are translated into SPARQL queries to provide answers for the given input
10
Cernusak, Lucas A., and Nerea Ubierna. "Carbon Isotope Effects in Relation to CO2 Assimilation by Tree Canopies." In Stable Isotopes in Tree Rings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92698-4_9.
Full textAbstract:
AbstractThe carbon atoms deposited in tree rings originate from the CO2 in the atmosphere to which the tree’s canopy is exposed. Thus, the first control on the stable carbon-isotope composition of tree rings is by δ13C of atmospheric CO2. There has been an inter-annual trend of decreasing δ13C of atmospheric CO2 over the past two centuries as a result of combustion of fossil fuels and land-use change. Atmospheric CO2 is, for the most part, well mixed, but the sub-canopy air space can become depleted in 13C due to inputs from soil and plant respiration when turbulent exchange with the troposphere is hindered, for example by a high leaf area index at night. This is less likely to occur during daytime when turbulence is higher and photosynthesis takes place. Discrimination against 13C (∆13C) occurs upon assimilation of atmospheric CO2 by C3 photosynthesis. Trees using the C3 photosynthetic pathway comprise the overwhelming majority of all trees. The primary control on the extent of discrimination during C3 photosynthesis is the drawdown in CO2 concentration from the air outside the leaf to the site of carboxylation in the chloroplast. Part of this drawdown is captured by ci/ca, that is, the ratio of intercellular to ambient CO2 concentrations. The ci/ca represents the balance between the CO2 supply by stomata and its demand by photosynthesis. It can be related to water-use efficiency, the amount of CO2 taken up by photosynthesis for a given amount of water loss to the atmosphere, assuming a given evaporative demand. To predict time-averaged ci/ca from wood ∆13C, a simplified, linear model can be employed. In this linear model, the slope is determined by $$\overline{b }$$ b ¯ , the effective enzymatic discrimination. The value of $$\overline{b }$$ b ¯ can be estimated by comparing wood ∆13C to representative measurements of ci/ca. The $$\overline{b }$$ b ¯ was originally estimated from observations of leaf tissue to have a value of 27‰. We compiled data for woody stem tissue here, and our analysis suggests that a lower $$\overline{b }$$ b ¯ should be used in the simplified model for wood ($$\overline{b }$$ b ¯ = 25.5‰) than for leaves ($$\overline{b }$$ b ¯ = 27‰). This is also consistent with widespread observations that woody tissues are enriched in 13C compared to leaves.
Conference papers on the topic "Enriched input"
1
Vassilev, Nikolay, Luis Garcia del Moral Garrido, Vanessa Martos Nunes, Giuseppe Falvo D�Urso Labate, and Maria Vassileva. "GLYCEROL-BASED FERMENTATION BY PLANT GROWTH PROMOTING ASPERGILLUS NIGER FOR ITS FURTHER FORMULATION AND APPLICATION IN TOMATO GROWTH." In SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/6.1/s25.24.
Full textAbstract:
Sustainable crop production includes methods of growing food in a responsible manner avoiding application and dependence on chemically produced fertilizers and pesticides. The latter means development of approaches that lead to environmentally mild inputs based on the production-consumption-recycling principle. Biofertilizers are an important tool to achieve sustainable crop production. In this work, we report the results of experiments on growth and spore/mycelium production of plant growth promoting A. niger applying standard nutritional medium (potato-dextrose broth, PDB) enriched with 3% insoluble phosphate (20 to 200 mesh hydroxyapatite of animal-bone origin, HABO) and 0 to 80 g/L glycerol (a by-product of biodiesel production. Results showed the ability of A. niger to acidify the medium with the highest titratable acidity of 28.9 mmol/1 (at 5% of glycerol) and solubilize animal bone char under these conditions. As a second stage of the experimental work, the resulting final products were used to formulate gel-based inoculant. Both, the spores and mycelium produced during the fermentation process were further used as a base for formulation to make the biofertilizer production the key in the Sustainable Agriculture. Storage of the resulting products reported here was facilitated by the presence of glycerol in the formulation system.
2
Cho, Hyunkyoo, K. K. Choi, and David Lamb. "Sensitivity Developments for Sensitivity-Based RBDO With Correlated Input Variable and Varying Input Standard Deviation." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60175.
Full textAbstract:
In conventional reliability-based design optimization (RBDO), the input variable is statistically independent, and its standard deviation (STD) is a fixed constant. However, the independent input variable and the constant STD may not correctly describe reliability problems because, for certain problems, the input variable is correlated, and its STD varies as the mean changes. For this kind of design problem, the input correlation should be considered, and the input STD should be changed as the design iteration proceeds and the corresponding design variable — the input mean — changes. Specifically, the varying input STD causes the input variability to fluctuate so that the probability of failure (PoF) of the design becomes a moving target. Hence, RBDO with varying input STD suffers difficulty in convergence unless accurate design sensitivity is available. In sensitivity-based RBDO, the sensitivity for the most probable point (MPP) search and the design sensitivity of probabilistic constraints are required. In this paper, it is found that the input correlation significantly affects the sensitivity for the MPP search and that the varying STD has large impact on the design sensitivity for RBDO. Therefore, sensitivities considering both the input correlation and the varying input STD have been developed for an efficient and effective optimization process. For the reliability analysis method, the enriched performance measure approach (PMA+) is used, as it is efficient and more stable during the RBDO process. To represent the input correlation, a copula is used in the sensitivity derivations. Using a mathematical example, the accuracy and efficiency of the developed sensitivities are verified. The RBDO result for the mathematical example indicates that the developed methods provide accurate sensitivities in the optimization process.
3
Ma, Hong, Peihao Geng, and Guoliang Qin. "Effect of Alloying Elements of Al Alloy on the Interfacial Microstructure and Fracture Behaviour of Al Alloy/Steel Inertia Friction Welded Joint: A Comparative Study." In ASME 2022 17th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/msec2022-85196.
Full textAbstract:
Abstract The present study highlighted the effect of alloying elements in Al alloy on the interfacial microstructure, and the corresponding fracture behaviour of the Al alloy/steel inertia friction welded joint by selectively adopting two types of Al alloys. A strong texture of &lt;111&gt;//radial direction was formed on the Al alloy side in both types of joints, while no obvious changes were identified on the steel side. Different types of intermetallic compounds (IMCs) were formed at the weld interface. In the Al-Mg-Si alloy/steel joint produced at a low heat input, the interfacial microstructure was composed of a nanoscale amorphous layer and partially crystallised layer, while it turned into a fully crystallised Fe2Al5 phase with Si enriched when the heat input was enhanced. In the Al-Cu alloy/steel joint, Cu was enriched at the weld interface, with the possible formation of Fe-Al-Cu based IMCs. Moreover, a two-layered structure of IMC with different compositions of Cu appeared when the joint was prepared at a high heat input. Such distinct interfacial microstructure caused different fracture behaviours of joints. An interfacial reaction layer less than 130 nm thick led to the failure of Al alloy rather than the weld interface which easily happened at a thicker IMC.
4
Seibert, Michael, and Sen Nieh. "Measurements of Hydrogen Enriched Combustion of Jet Fuel in Open Flame." In ASME 2016 Power Conference collocated with the ASME 2016 10th International Conference on Energy Sustainability and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/power2016-59591.
Full textAbstract:
Jet fuel is a common logistics fuel, even for small, mobile systems. At low power output (<2 kWe), technologies such as Stirling engines, thermo electric and thermo-photovoltaic generators have the potential to compete with diesel engines, but require reliable jet fuel combustion. Hydrogen enrichment is presented as a control parameter to improve jet fuel combustion. Research in fuel reforming gives an opportunity for hydrogen production at the point of use. Hydrogen enriched combustion of jet fuel seeks to take advantage of the energy density of jet fuel and the combustibility of hydrogen. Experiments were conducted with atomized jet fuel in a 5 kWth open flame. Jet fuel is sprayed through an air atomizing nozzle. Hydrogen was added to either the atomizing air or to a concentric tube supplying the main combustion air. During hydrogen enrichment, jet fuel flow rate was reduced to maintain constant fuel energy input. Temperature is measured vertically and laterally through the flame. Gaseous emissions are measured above the visible flame. In these experiments, hydrogen represented up to 26% of the fuel energy contribution. Substantial changes to the combustion profile occur with small amounts of hydrogen enrichment. The advantages it provides represent opportunities for reduced size, improved operational reliability and control and reduced pollutant emissions.
5
Alavandi, S. K., and A. K. Agrawal. "Lean Premixed Combustion of Methane and Hydrogen-Enriched Methane Using Porous Inert Media." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53231.
Full textAbstract:
This paper presents an experimental investigation on lean premixed combustion of methane and hydrogen-enriched methane. The combustion was stabilized on the surface of a porous inert media made of silicon-carbide coated carbon core with 4 pores per centimeter. Experiments were conducted using commercial grade methane (99% purity) and a mixture of 70% methane and 30% hydrogen, by volume. Measurements of NOx and CO emissions were taken for a range of airflow rates and adiabatic flame temperatures. The combustor turndown ratio was varied by a factor of 6. Emission characteristics were compared for a given adiabatic flame temperature, representing energy input to the combustor. Results show lower CO emissions and extended lean blow off limit when hydrogen was added to the methane fuel.
6
Jung, Junwoo, Daesik Kim, Yuangang Wang, et al. "Suppression of Combustion Oscillations in Hydrogen-Enriched Can-Type Combustors Through Fuel Staging." In ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/gt2024-121533.
Full textAbstract:
Abstract To achieve decarbonization in power-generating gas turbines, the technology of mixing hydrogen with natural gas is garnering significant attention. However, when blending natural gas with hydrogen, the altered combustion characteristics can lead to combustion instability in gas turbine combustors. Although fuel staging can effectively suppress combustion instability for can-type combustors, further research on mitigation strategies for hydrogen co-firing and their predictive methods is required. This study involves hydrogen co-firing experiments using a full-scale can-type combustor. Moreover, the resulting suppression of combustion instability is analyzed through fuel staging by utilizing three-dimensional (3D) computational fluid dynamics (CFD) and one-dimensional (1D) thermo-acoustic analysis. The experiments used a full-scale industrial can-type combustor with a five-around-one nozzle configuration. Hydrogen was blended with natural gas up to a volume fraction of 30%, maintaining a constant thermal power. Fuel staging was applied by controlling two out of five outer nozzles along with the remaining three. Before the 1D thermo-acoustic analysis, the internal flame structure of the combustor was examined through 3D CFD analysis. Based on the results, a multi-input multi-output (MIMO) system was constructed for 1D thermo-acoustic analysis of the can-type combustor. The application of time delays derived from 3D CFD analysis to the 1D model revealed that differences in flame time delays across the nozzles cause combustion instability suppression observed in fuel staging.
7
Boucharda, Carole, and Jieun Kimb. "About the Nature of Kansei Information." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100568.
Full textAbstract:
Kansei studies refer to the more and more holistic consideration of the cognitive and affective processes which occur during user experience. In addition, few studies deal with the experience of the designers during the design process, and its influence on the final design outputs. Historically kansei engineering has been firstly focused on the semantic differential approach. Afterwards emotions were integrated into kansei approaches. The semantic differential approach enabled to evaluate products and then to generate automatically design solutions with semantic input data. Thereafter, evaluations have been completed by physiological measurements in order to reduce the subjectivity involved in those evaluations and also to capture some unconscious reactions. This implementation is still in process. Today kansei studies have been much enriched from the three disciplines of design science, psychology and artificial intelligence. The cross influence between these disciplines brought new dimensions into kansei approaches (multisensory design information, personality, values, and culture, new formalisms and algorithms) which lead progressively towards the consideration of a whole enriched kansei experience. We propose in this paper a description of the nature of kansei information. Then we present some major orientations for kansei evaluation. Finally we propose an overall table gathering information about kansei dimensions and formats.
8
El Dabbour, Mohamed Hassan, Amr Labib, Ali Soliman, et al. "Cloud-Based Agile Reservoir Modelling Enriched with Machine Learning Improved the Opportunity Identification in a Mature Gas Condensate." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211632-ms.
Full textAbstract:
Abstract Reservoir simulation is required to aid in the decision-making for high-impact projects. It is a culmination of geophysical, geological, petrophysical, and engineering assessments of sparse, uncertain, and expensive data. History matching is a process of elevating trust in numerical models as they are calibrated to mimic the behaviour of the real-life asset. Traditional history matching relies on direct parameter assignment based on flat files used as input to the reservoir simulator. This enables a convenient method for the perturbation of uncertain parameters and their value assignments during the history matching process. Given the nature of the input files, the scope for uncertainty parameters is limited to the original petrophysical properties, their derived simulation properties in a specified group of grid blocks, and occasionally extended to include fluid and multiphase flow properties. However, there are key influential model-building steps prior to reservoir simulation related to data interpretation. These steps control not only the values of petrophysical properties but also their spatial correlation, cross-correlation, and variability. The limitation in the scope for parameterization adds bias to the model calibration process, hence negatively impacting its outcome. In an era where ML/AI algorithms are shaping data interpretation methods, key modelling decisions can be revisited to realize the maximum value of subsurface data. However, a framework is required whereby these important model-building steps are captured in history matching to eliminate bias and ensure the geological consistency of the subsurface model during and after history matching. This paper demonstrates a liberated workflow to calculate the recommended parameters that achieve the minimum mismatch score. The workflow is executed through a cloud platform offering compute elasticity to expedite the history matching workflow. It is composed of three main steps. The first step is data loading, where simulation results and parameters are extracted from the submitted ensemble(s). Meanwhile, the second step involves data preparation and cleaning. Wells devoid of data are removed, and scaled metrics are created to calculate the mismatch score. The simulation ID then groups the data to get a field-level aggregation. The now aggregated and cleaned simulation results are merged with the parameters list to create the input dataset to the final step, where several machine learning models are trained and evaluated in parallel. The data is split into training and testing datasets. The target variable is the mismatch score, as the models are trying to predict the mismatch for a given set of parameters. Supervised learning regression algorithms were used. The best-performing ones were found to be random forest and gradient boosted trees. After fine-tuning the machine learning models and evaluating them based on their coefficient of determination (R2 score), the best fitting model is used to calculate the optimized parameters. This happens iteratively by generating new series of parameters within a range and using the machine learning model to predict the mismatch for each until the lowest mismatch is found. The parameters resulting in the minimum mismatch are the recommended parameters. This workflow is implemented on a simulation model built for a mature gas condensate field in the Mediterranean of Egypt. The field comprises three anticlines with a spill-fill Petroleum system, where the majority of the wells are in one of the anticlines. In contrast, the other anticlines have few wells and are candidates for appraisal. Moreover, there is high uncertainty in the sand distribution and reservoir properties, spill points depth, depletion, and observing an explained phenomenon of a sustainable gas water contact in the new anticline even after 30 years of production from the old Anticline. This uncertainty in the understand of the relation between the two anticlines makes the selection of the drilling locations a challenge. To Assess remaining reservoir volumes and identify potential infill targets, we used the ML to study all the uncertainties combinations in a full-loop approach from static to dynamic model and generate multiple representations that honour the geological understanding. The cloud-based Agile reservoir modeling approach enriched with ML / AI algorithms enabled us to generate Multiple realizations that match 30 years of historical production and pressure profiles capturing many possible combinations of uncertain geological parameters and concepts. In addition, several forecast scenarios for 3 new appraisal wells were optimized based on the ensemble of history matched models minimizing the risk of drilling dry wells. In addition to going through the work process and results, this paper highlights the method's practical effectiveness and common issues in practical application. The use of the cloud-based technology had a great cost saving and efficiency improvements, for example giving the existing on-premises Infrastructure would take 1-2 years to achieve the same results that was achieved in 1-2 months and cost saving around 1 million dollars in cluster hardware purchase. Moreover, Cloud based technology enable collaborative, iterative working styles for integrated teams and access to scalable technologies that are developed on cloud only.
9
Petrolo, Marco, Alfonso Pagani, Giulio Candita, Pierluigi Iannotti, and Erasmo Carrera. "Assessment of Multi-Fidelity Structural Theories for Dynamic Analyses Using Machine Learning." In ASME 2025 Aerospace Structures, Structural Dynamics, and Materials Conference. American Society of Mechanical Engineers, 2025. https://doi.org/10.1115/ssdm2025-152306.
Full textAbstract:
Abstract This paper presents a machine-learning approach to assessing structural theories’ computational cost and accuracy and provides guidelines on the proper finite element modeling for various numerical cases. The proposed approach exploits the Carrera Unified Formulation (CUF) to obtain multi-fidelity refined structural theories and governing equations. Machine learning techniques are used to build surrogate models. CUF provides training data for neural networks, considering higher-order polynomial expansions of the displacement field and problem features, e.g., thickness, geometry, material properties, and boundary conditions. The surrogate model’s training aims to estimate a structural theory’s accuracy, i.e., the fidelity, when providing structural dynamics outputs for a given set of inputs. For instance, the trained network can establish the accuracy of a third-order shear deformation theory in detecting the natural frequencies. Furthermore, indications of the most influential input parameters and generalized primary variables are obtained. Multi-fidelity structural theories are assessed by varying the number of generalized displacement variables, i.e., the nodal degrees of freedom, of finite element models. Low-, first-order theories are incrementally enriched with higher-order terms. The trained network indicates which terms must be retrieved to satisfy a given fidelity requirement.
10
Cano, Pablo, Marina Roche, Albert Hernández, Dídac Sabrià, and Marco Mammetti. "Simulation platform for modelling and calibration of hybrid vehicles energy management from experimental input." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-adm-151.
Full textAbstract:
"Hybridizing vehicles is one of the paths followed by OEM to reduce their vehicle consumption and emissions, especially in premium segment. Indeed, this segment is facing severe problems in reaching European environmental exhaust targets when running on fossil fuel only, not the least due to the considerable vehicle weight. The European funded project ADVICE targeted this issue by aiming at increasing the market penetration of hybrid vehicles by cost reduction and by technology improvement.Simulation models are a cost-efficient approach to evaluate the impact of a technology on a variety of driving conditions or to virtually evaluate the impacts of potential improvements such as driving resistance, weight reduction or energy management strategy on vehicle fuel consumption. This paper presents a methodology to generate a reliable hybrid vehicle model exclusively from experimental data and validate it with objective KPIs. The methods we present permit to obtain sufficient components and strategy characterization accuracy from dynamic vehicle-level test such as WLTP or RDE. The advantage of this methodology is its capability to maximize the outcome of the regular vehicle-level testing activities to generate a predictive vehicle consumption model without the need of specific component or stabilized condition testing, being a cost-efficient first approach to build a model representing the observed vehicle use. Nonetheless, if required by the application, this model can be enriched with additional specific testing (components level, high demand testing, stabilized conditions…) to guarantee its predictivity in a wider set of conditions. Specific correlation KPIs were applied in order to guarantee adequate correlation between various signals acquired in the experimental activities and simulated signals. This methodology, guarantees the accuracy and the predictivity of the model, allowing consistent trade-off studies or new system assessment. The resulting predictive models were used to calculate the impact of improvements on weight, drag, auxiliary loads and strategy in consumption. The data for performing this activity is extracted from the European funded project ADVICE. The paper shows the application of the methodology, the correlation result and how the validated vehicle model is used to analyse the energy management and evaluate the potential impact of vehicle improvements on fuel consumption."