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Journal articles on the topic 'Automatic kinetic data generation'

Author: Grafiati

Published: 17 May 2025

Last updated: 31 July 2025

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1

Hone, Christopher A., Nicholas Holmes, Geoffrey R. Akien, Richard A. Bourne, and Frans L. Muller. "Rapid multistep kinetic model generation from transient flow data." Reaction Chemistry & Engineering 2, no. 2 (2017): 103–8. http://dx.doi.org/10.1039/c6re00109b.

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West, Richard H., Magda H. Barecka, and Qing Zhao. "Accelerating Electrocatalyst Innovation: High-Throughput Automated Microkinetic Modeling." ECS Meeting Abstracts MA2023-02, no. 61 (2023): 3426. http://dx.doi.org/10.1149/ma2023-02613426mtgabs.

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To reduce energy-related emissions, we must create chemicals from carbon dioxide with renewable energy, instead of from petroleum. Designing such a process needs computer models that can describe all the chemical reactions that are happening, including those driven by electrochemistry. There may be thousands of such reactions, so we must build a tool to find them automatically. Our reaction mechanism generator for electrocatalysis will create detailed kinetic models for many electrochemical processes, but for this initial project we are targeting the reduction of carbon dioxide to produce prop

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Montemurro, Milagros, Gabriel G. Siano, María J. Culzoni, and Héctor C. Goicoechea. "Automatic generation of photochemically induced excitation-emission-kinetic four-way data for the highly selective determination of azinphos-methyl in fruit juices." Sensors and Actuators B: Chemical 239 (February 2017): 397–404. http://dx.doi.org/10.1016/j.snb.2016.08.033.

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Journal, IJSREM. "Development of an Energy Harvesting Automated Punching Bag." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–8. https://doi.org/10.55041/ijsrem39583.

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Abstract—Experience the future of fitness with our innovative automated power generating wall-mounted punching bag. This advanced system revolutionizes traditional workouts by incorporating customizable punch combinations, LED-guided targets, and real-time performance tracking. Users can seamlessly adjust punch settings with a simple knob, while dynamic LED lights guide them through targeted combinations, enhancing training effectiveness and refining technique. Embedded sensors accurately measure punching force and track workout progress, providing insightful feedback via a user-friendly mobil

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HICKS, B. J., G. MULLINEUX, and A. J. MEDLAND. "AUTOMATIC MODEL CREATION FOR KINEMATIC ANALYSIS AND OPTIMIZATION OF ENGINEERING SYSTEMS." International Journal of Image and Graphics 05, no. 03 (2005): 481–99. http://dx.doi.org/10.1142/s0219467805001860.

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The successful adaptation and optimization of existing designs play an important role in the design of high speed machinery. Adaptation and extension of existing design principles to achieve some new functional or performance requirement is imperative for the development of the next generation of machines. In addition to this, continual improvement and optimization of existing designs are necessary to sustain a product's commercial success. Where complex mechanical systems are considered such design activities usually require the application of advanced simulation packages or intelligent CAD s

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Yatskul, Andrii, Frederic Cointault, and Jean-Pierre Lemiere. "Maneuverability of Wheeled Poly-Articulated Agricultural Vehicles: Modeling and Field Testing." Transactions of the ASABE 64, no. 6 (2021): 2111–24. http://dx.doi.org/10.13031/trans.14262.

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HighlightsModeling provides the relationships between path, kinematics, geometry, and towed implements.Linear interpolation allows trajectories to be compared if data recording is random.Correction coefficients can be a solution to compensate for soil resistance.Abstract. Automatic guidance systems and autonomous vehicles require tested methods of path generation to ensure successful maneuvers (such as automatic trajectory correction and headland turn management). In this study, an evolution of Zakin’s kinematic modeling, as applied in the automobile industry, is proposed for an agricultural p

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Naamat, Lilach, Michal Keslin, and Alon Grinberg Dana. "Generating Predictive Chemical Kinetic Models for Quaternary Ammonium Monomers Chemical Degradation in Anion Exchange Membrane." ECS Meeting Abstracts MA2023-02, no. 65 (2023): 3150. http://dx.doi.org/10.1149/ma2023-02653150mtgabs.

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It is widely accepted that the high cost of Proton Exchange Membrane (PEM) fuel cells (FC) is a major inhibitor of the transition to extensive commercialization of hydrogen-fueled FCs. One known alternative to this technology is Anion Exchange Membrane (AEM), greatly reducing the need for precious metals, e.g., platinum, and allowing a wider choice of lower cost polymeric materials1. Although research in the field of AEM has greatly evolved recently, AEM-FCs still lack sufficient durability and cell longevity. The current major challenge revolves around the chemical and structural stability of

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Novelli, Luca, Michele Vianello, Hong Weimin, Lucia Bonadonna, and Tiziana Forte. "New Developments in Real-Time Kinematic Water Quality Monitoring of Lakes and River Basins." International Journal of Social Ecology and Sustainable Development 1, no. 3 (2010): 49–72. http://dx.doi.org/10.4018/jsesd.2010070105.

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The kinematic approach to water monitoring of rivers and lakes was by Archimedes Logica under the EU initiatives (LIFE1996) for the monitoring of the Lagoon of Venice. These systems were limited to the measurement of typical basic parameters: pH, Eh, salinity, turbidity, dissolved oxygen, electrical conductivity, temperature and immersion depth. However, this earlier system was unable to help against pollution from hydrocarbons. In this paper, the authors present a new kinematic monitoring system named AQUARIUS, which integrates a new generation of automatic chemical and biological analyzers.

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Ouassou, Mohammed, Anna B. O. Jensen, Jon G. O. Gjevestad, and Oddgeir Kristiansen. "Next Generation Network Real-Time Kinematic Interpolation Segment to Improve the User Accuracy." International Journal of Navigation and Observation 2015 (February 19, 2015): 1–15. http://dx.doi.org/10.1155/2015/346498.

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This paper demonstrates that automatic selection of the right interpolation/smoothing method in a GNSS-based network real-time kinematic (NRTK) interpolation segment can improve the accuracy of the rover position estimates and also the processing time in the NRTK processing center. The methods discussed and investigated are inverse distance weighting (IDW); bilinear and bicubic spline interpolation; kriging interpolation; thin-plate splines; and numerical approximation methods for spatial processes. The methods are implemented and tested using GNSS data from reference stations in the Norwegian

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Deng, Zike. "Research on the Development Trend of Artificial Intelligence Led by ChatGPT." Highlights in Science, Engineering and Technology 56 (July 14, 2023): 112–16. http://dx.doi.org/10.54097/hset.v56i.9822.

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The technological growth of artificial intelligence (AI) generally presents the characteristics from simple linearity to complex system. In the early days of AI, its basic idea was simple imperative programming. However, people soon found that it could not complete complex thinking work and could only be used in simple scenes such as data processing, video games and industrial automatic control. ChatGPT, which was born, opened the era of universal AI, which indicates that AI has extensive learning ability and reaches or exceeds the level of ordinary human beings in most fields. ChatGPT, as a n

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Yang, Jeehyun, and Renyu Hu. "Automated Chemical Reaction Network Generation and Its Application to Exoplanet Atmospheres." Astrophysical Journal 966, no. 2 (2024): 189. http://dx.doi.org/10.3847/1538-4357/ad35c8.

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Abstract With the advent of JWST and the spectroscopic characterization of exoplanet atmospheres in unprecedented detail, there is a demand for more complete pictures of chemical and photochemical reactions and their impacts on atmospheric composition. Traditionally, building reaction networks for (exo)planetary atmospheres involves manually tracking relevant species and reactions, a time-consuming and error-prone process. This approach’s applicability is also often limited to specific conditions, making it less versatile for different planetary types (i.e., photochemical networks for Jupiters

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Brumer, Irène, Dominik F. Bauer, Lothar R. Schad, and Frank G. Zöllner. "Synthetic Arterial Spin Labeling MRI of the Kidneys for Evaluation of Data Processing Pipeline." Diagnostics 12, no. 8 (2022): 1854. http://dx.doi.org/10.3390/diagnostics12081854.

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Accurate quantification of perfusion is crucial for diagnosis and monitoring of kidney function. Arterial spin labeling (ASL), a completely non-invasive magnetic resonance imaging technique, is a promising method for this application. However, differences in acquisition (e.g., ASL parameters, readout) and processing (e.g., registration, segmentation) between studies impede the comparison of results. To alleviate challenges arising solely from differences in processing pipelines, synthetic data are of great value. In this work, synthetic renal ASL data were generated using body models from the

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Van Praagh, Andrew, Bo Nelson, Paul Ballieu, Melanie Smith, and Mike Rule. "Abstract 7427: Automated, real-time acquisition and quantification of peak, plateau-phase in vivo bioluminescent data." Cancer Research 84, no. 6_Supplement (2024): 7427. http://dx.doi.org/10.1158/1538-7445.am2024-7427.

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Abstract It is widely recognized that plateau-phase bioluminescent (BL) kinetic curve data should be used when reporting on BLI results from substrate-injection BLI model systems. The basis for this understanding is that plateau-phase BL data is uniquely suited in several ways: (i) it will optimize the detection of target, luciferase-expressing cells (especially when they are low in copy number or deep within the animal model), (ii) it will optimize BLI data reproducibility (with there being no change in signal values across the plateau phase), and (iii) it will also provide BLI data values th

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Persson, Kristin A. "(Invited) Prediction of Electrode-Electrolyte Degradation through First-Principles and Data-Driven Reaction Networks." ECS Meeting Abstracts MA2024-02, no. 7 (2024): 809. https://doi.org/10.1149/ma2024-027809mtgabs.

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Despite decades of work, there is still considerable uncertainty regarding the major components of the solid-electrolyte interface (SEI) and its dynamic formation mechanism as a function of electrolyte and anode composition. Here we present a our data-driven first-principles framework using a combination of high-throughput calculations, reaction networks, machine learning and microkinetic modeling. Our automated methodology is based on a systematic generation of relevant species using a general fragmentation/recombination procedure which provides the basis for a vast thermodynamic reaction lan

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Bräuer, Peter, Camille Mouchel-Vallon, Andreas Tilgner, et al. "Development of a protocol for the auto-generation of explicit aqueous-phase oxidation schemes of organic compounds." Atmospheric Chemistry and Physics 19, no. 14 (2019): 9209–39. http://dx.doi.org/10.5194/acp-19-9209-2019.

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Abstract. This paper presents a new CAPRAM–GECKO-A protocol for mechanism auto-generation of aqueous-phase organic processes. For the development, kinetic data in the literature were reviewed and a database with 464 aqueous-phase reactions of the hydroxyl radical with organic compounds and 130 nitrate radical reactions with organic compounds has been compiled and evaluated. Five different methods to predict aqueous-phase rate constants have been evaluated with the help of the kinetics database: gas–aqueous phase correlations, homologous series of various compound classes, radical reactivity co

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Lin, Psang Dain, and Ming Far Lee. "Applications of D-H Notation in Machining and On-Line Measurement of Roller-Gear Cams on 5-Axis Machine Tools." Journal of Manufacturing Science and Engineering 119, no. 3 (1997): 393–401. http://dx.doi.org/10.1115/1.2831119.

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A kinematic model is presented to aid in the design of cam-profiles and determine the NC data equations using Denavit-Hartenberg (D-H) notation to produce and to measure the dimension accuracy of roller-gear cams on 5-axis machine tools. First, cam profiles are determined based on the conjugate surface theory. Then, D-H notation is employed in the derivation of machine tool ability functions and in the generation of the desired cutter/measuring-probe location matrices. The desired NC data equations are obtained by solving the link variables of the machine tool by equating the machine tool abil

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Krogh, Christian, Jens A. Glud, and Johnny Jakobsen. "Modeling the robotic manipulation of woven carbon fiber prepreg plies onto double curved molds: A path-dependent problem." Journal of Composite Materials 53, no. 15 (2019): 2149–64. http://dx.doi.org/10.1177/0021998318822722.

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This paper investigates the behavior of woven prepreg plies being placed on a weakly double curved mold by a robot. It is essential that the draped configuration is free from wrinkles. The baseline is a virtual draping environment that can plan and simulate robot draping sequences. It consists of a kinematic mapping algorithm for obtaining target points for the grippers on the mold surface. A simple motion planner is used to calculate the trajectories of the grippers. Here, two conceptually different draping strategies are employed. Finally, the two generated draping sequences are simulated us

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18

Duta, Alina, Iulian Popescu, Simona-Mariana Cretu, Andrei Corzanu, Valentin Corzanu, and Dragos-Laurentiu Popa. "The Manufacture of Curved Crease Surfaces Starting from Kinematic Analysis of Planar Mechanisms." Processes 10, no. 11 (2022): 2344. http://dx.doi.org/10.3390/pr10112344.

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Achieving curved crease surfaces is a current challenge for designers, the field still underexplored. The curve on which the bending is performed can present extremely complicated shapes that must be accurately generated through various technological processes. For this aim, a planar mechanism consisting of an ellipsograph, a conchoidograph and an RRR dyad—whose inner joint generates the targeted connecting rod curve—was proposed in this paper. Parametrizing the lengths of the elements of the RRR dyad, the correlation coefficient of the rotations of the leading elements and the directions of t

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Sun, Siyu, Joke Konings, Rolf T. Urbanus, et al. "Diversity of Plasmatic Thrombin Pools Regulate Thrombin Generation and Blood Clotting: Interference By a Novel Nanobody." Blood 142, Supplement 1 (2023): 3978. http://dx.doi.org/10.1182/blood-2023-185665.

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Background: Thrombin has a multitude of roles in the initiation and propagation of (anti)coagulation, in platelet activation and fibrin clot formation. The assessment of thrombin generation (TG) and thrombin-dynamics, combined with multi-omics data, has provided in-depth understanding of the plasma factors contributing to the (in)activation of thrombin in triggered plasma and whole-blood. By default, the generated thrombin is considered to act as a single pool. Here, we present evidence for at least two major proteolytically active thrombin pools with non-overlapping functions in blood clottin

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Yartseva, V. F., D. S. Ozhigin, V. N. Dolgonosov, S. B. Ozhigina, and S. G. Ozhigin. "Study of rock mass structural features based on laser scanning results." Kompleksnoe Ispolzovanie Mineralnogo Syra = Complex Use of Mineral Resources 338, no. 3 (2025): 72–80. https://doi.org/10.31643/2026/6445.30.

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Monitoring of pit slopes benches stability and pit walls plays the important role in the safety of mining operations. Slope stability assessment and risk management are mandatory to ensure safe and efficient operation of pits. Laser scanning technology is one of the base methods of geospatial data collecting for building of man-made objects models. Laser scanning is widely used in mining when performing survey work, measurements, monitoring, and studying structural features on the outcroppings of the rock mass. The article describes the technological chain: the collection of geospatial data, t

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Vandewiele, Nick M., Ruben Van De Vijver, Hans-Heinrich Carstensen, Kevin M. Van Geem, Marie-Françoise Reyniers, and Guy B. Marin. "Implementation of Stereochemistry in Automatic Kinetic Model Generation." International Journal of Chemical Kinetics 48, no. 12 (2016): 755–69. http://dx.doi.org/10.1002/kin.21030.

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Siddiqui, Fakiha, Emily Bontekoe, Darko Antic, Debra Hoppensteadt, Grigoris Gerotziafas та Jawed Fareed. "Decreased Thrombin Generation Potential in Lymphoma Patients Is Associated with Increased D-Dimer, CRP, Vwf and TNF-α. Interrelationship between Thrombogenesis and Inflammation". Blood 134, Supplement_1 (2019): 5239. http://dx.doi.org/10.1182/blood-2019-128440.

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Introduction: The prevalence of thrombosis in lymphoma patients is reportedly high and ranges from 3 - 10%, and further increased at advanced stages of the disease especially in hgNHL. Inflammation and other vascular factors contribute to the pathogenesis of these thrombotic complications. Biomarkers of hemostatic activation, vascular dysfunction and inflammation are elevated in lymphoma. We have previously reported that thrombin generation biomarkers such as D-Dimer, thrombin anti-thrombin complex (TAT) and prothrombin fragment (F1.2) along with inflammatory biomarkers are increased in cancer

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23

Samchuk, E. V. "Spatial and temporal identification of baric systems in low troposphere and midtroposphere." Ukrainian hydrometeorological journal, no. 19 (October 29, 2017): 41–47. http://dx.doi.org/10.31481/uhmj.19.2017.05.

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According to the terms of synoptic meteorology baric systems of low troposphere and midtroposphere are the main objects for research of large-scale circulation processes. Therefore, knowledge of their typical places of origin, their movement and characteristics is extremely critical. The purpose of this publication consists in analyzing existing methods and algorithms used for identification and tracking of baric systems in low troposphere and midtroposphere. This will allow for distinguishing the most output data and methods for further usage. Results. A unified methodology for id

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Løvås, Terese, Ehsan Houshfar, Mette Bugge, and Øyvind Skreiberg. "Automatic Generation of Kinetic Skeletal Mechanisms for Biomass Combustion." Energy & Fuels 27, no. 11 (2013): 6979–91. http://dx.doi.org/10.1021/ef400949h.

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Maeda, Kazuhiro, and Hiroyuki Kurata. "Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT." International Journal of Molecular Sciences 24, no. 8 (2023): 7296. http://dx.doi.org/10.3390/ijms24087296.

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Kinetic modeling is an essential tool in systems biology research, enabling the quantitative analysis of biological systems and predicting their behavior. However, the development of kinetic models is a complex and time-consuming process. In this article, we propose a novel approach called KinModGPT, which generates kinetic models directly from natural language text. KinModGPT employs GPT as a natural language interpreter and Tellurium as an SBML generator. We demonstrate the effectiveness of KinModGPT in creating SBML kinetic models from complex natural language descriptions of biochemical re

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Persson, Kristin A. "(Invited) Towards First-Principles Prediction of Early SEI Formation." ECS Meeting Abstracts MA2022-02, no. 2 (2022): 143. http://dx.doi.org/10.1149/ma2022-022143mtgabs.

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Despite decades of work, there is still considerable uncertainty regarding the major components of the solid-electrolyte interface (SEI) and its dynamic formation mechanism as a function of electrolyte and anode composition. Here we present a new data-driven first-principles framework using a combination of high-throughput calculations, reaction networks, machine learning and microkinetic modeling. Our automated methodology is based on a systematic generation of relevant species using a general fragmentation/recombination procedure which provides the basis for a vast thermodynamic reaction lan

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27

Demidova, Anastasya, Migran Gevorkyan, Dmitry Kulyabov, Anna Korolkova, and Leonid Sevastianov. "The Automation of Stochastization Algorithm with Use of SymPy Computer Algebra Library." EPJ Web of Conferences 173 (2018): 05006. http://dx.doi.org/10.1051/epjconf/201817305006.

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SymPy computer algebra library is used for automatic generation of ordinary and stochastic systems of differential equations from the schemes of kinetic interaction. Schemes of this type are used not only in chemical kinetics but also in biological, ecological and technical models. This paper describes the automatic generation algorithm with an emphasis on application details.

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Brunialti, Sirio, Xiaoyuan Zhang, Qi Wang, Tiziano Faravelli, and S. Mani Sarathy. "Automatic generation of compact kinetic models for large alkane oxidation." Combustion and Flame 280 (October 2025): 114355. https://doi.org/10.1016/j.combustflame.2025.114355.

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Panahi, H., M. Kobchenko, F. Renard, et al. "A 4D Synchrotron X-Ray-Tomography Study of the Formation of Hydrocarbon- Migration Pathways in Heated Organic-Rich Shale." SPE Journal 18, no. 02 (2012): 366–77. http://dx.doi.org/10.2118/162939-pa.

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Summary Recovery of oil from oil shales and the natural primary migration of hydrocarbons are closely related processes that have received renewed interest in recent years because of the ever tightening supply of conventional hydrocarbons and the growing production of hydrocarbons from low-permeability tight rocks. Quantitative models for conversion of kerogen into oil and gas and the timing of hydrocarbon generation have been well documented. However, lack of consensus about the kinetics of hydrocarbon formation in source rocks, expulsion timing, and how the resulting hydrocarbons escape from

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Pessini, Federica, Antonio Olita, Yuri Cotroneo, and Angelo Perilli. "Mesoscale eddies in the Algerian Basin: do they differ as a function of their formation site?" Ocean Science 14, no. 4 (2018): 669–88. http://dx.doi.org/10.5194/os-14-669-2018.

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Abstract. The circulation of the western Mediterranean Sea (WMED) is dominated by highly variable and heterogeneous mesoscale circulation that is strongly driven by the formation and propagation of eddies (cyclonic and anticyclonic) mainly acting in the Algerian Basin. In order to investigate the spatial and temporal distribution of eddy generation and their respective paths in the Algerian Basin, the most energetic WMED portion, we use an automated detection and tracking hybrid method applied to 24 years of sea level anomaly (SLA) data. The algorithm is based on the computation of the Okubo–W

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31

Ince, D. C. "The Automatic Generation of Test Data." Computer Journal 30, no. 1 (1987): 63–69. http://dx.doi.org/10.1093/comjnl/30.1.63.

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32

DeMilli, R. A., and A. J. Offutt. "Constraint-based automatic test data generation." IEEE Transactions on Software Engineering 17, no. 9 (1991): 900–910. http://dx.doi.org/10.1109/32.92910.

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Magar, Anand, Adarsh Acharya, Sakshi Bothe, Harsh Bihani, and Tejas Desai. "Automatic Music Generation." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1945–50. http://dx.doi.org/10.22214/ijraset.2023.56835.

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Abstract: Automatic generation of music is an evolving field that harnesses artificial intelligence and machine learning techniques to create musical compositions. This research paper investigates the application of Long Short-Term Memory (LSTM) networks and Markov chains for automatic music generation. We compare these two distinct models in terms of their capacity to produce creative, coherent, and musically appealing compositions. Our study involves data preprocessing, model training, and comprehensive evaluations to assess the performance of LSTM and Markov chains. The results indicate var

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Zahoor, Saniya, and Shabir A.Sofi. "Automatic Podcast Generation." Journal of University of Shanghai for Science and Technology 23, no. 10 (2021): 22–28. http://dx.doi.org/10.51201/jusst/21/09700.

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A massive leap forward in the field of Human Computer Interaction in living memory has been achieved by the Google Duo system to sustain a natural sounding and coherent phone call with a human being without them being able to tell the difference. The computer system capitalized on recent developments in the field of Synthetic voice generation along with real time processing and response generation. The aim of this work is to replicate the success of that presentation as well as to build upon that body of work and generate useful content summaries which can be converted into high quality podcas

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Grenier, Dominique, Meyer Michel Samama, Sami Chtourou, and Jean-Luc Plantier. "Reverting Rivaroxaban Effect By Activated Factor X: Assessment Using Thrombin Generation Assay." Blood 124, no. 21 (2014): 2868. http://dx.doi.org/10.1182/blood.v124.21.2868.2868.

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Abstract Specific anti-activated factor X molecules are currently used for the prevention and the treatment of various thromboembolic disorders. However, despite a growing use of these molecules, they are still devoid of a reliable antidote. Rivaroxaban is a specific anticoagulant targeting activated factor X (FXa). Its potential in inhibiting FXa in vitro and in vivo was demonstrated during the characterization of the molecule. However, the use of FXa to revert the effect of Rivaroxaban in plasma was never studied. To do so the measurement of thrombin generation (TG) using the calibrated auto

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KHAMIS, Abdelaziz, Reem BAHGAT, and Rana ABDELAZIZ. "Automatic Test Data Generation Using Data Flow Information." Doğuş Üniversitesi Dergisi 2, no. 1 (2000): 140–53. http://dx.doi.org/10.31671/dogus.2019.387.

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Nagy, Tibor, János Tóth, and Tamás Ladics. "Automatic kinetic model generation and selection based on concentration versus time curves." International Journal of Chemical Kinetics 52, no. 2 (2019): 109–23. http://dx.doi.org/10.1002/kin.21335.

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Esaki, Hirotake, Kiyoyuki Kagii, Taizo Umezaki, and Tetsumi Horikosi. "Automatic Generation of IC Part Shape Data." IEEJ Transactions on Industry Applications 127, no. 2 (2007): 152–57. http://dx.doi.org/10.1541/ieejias.127.152.

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Kasahara, Kaname, Nozomu Inago, and Tsuneaki Kato. "Automatic Generation of Synonyms Using Textual Data." Transactions of the Japanese Society for Artificial Intelligence 18, no. 4 (2003): 221–32. http://dx.doi.org/10.1527/tjsai.18.221.

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Gupta, S. K. S., S. D. Kaushik, C. H. Huang, J. R. Johnson, R. W. Johnson, and P. Sadayappan. "On the automatic generation of data distributions." ACM SIGPLAN Notices 28, no. 1 (1993): 82. http://dx.doi.org/10.1145/156668.156703.

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Offutt, A. Jefferson. "An integrated automatic test data generation system." Journal of Systems Integration 1, no. 3-4 (1991): 391–409. http://dx.doi.org/10.1007/bf02262722.

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Chawla, Priyanka, Inderveer Chana, and Ajay Rana. "Cloud-based automatic test data generation framework." Journal of Computer and System Sciences 82, no. 5 (2016): 712–38. http://dx.doi.org/10.1016/j.jcss.2015.12.001.

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Esaki, Hirotake, Kiyoyuki Kagii, Taizo Umezaki, and Tetsumi Horikoshi. "Automatic generation of IC component configuration data." Electrical Engineering in Japan 165, no. 4 (2008): 76–83. http://dx.doi.org/10.1002/eej.20686.

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KAME, Nobuki, Kazuro HIRAHARA, Masayuki KANO, and Tomohisa OKAZAKI. "Automatic Generation of Data Assimilation Python Code." Zisin (Journal of the Seismological Society of Japan. 2nd ser.) 78 (May 28, 2025): 13–30. https://doi.org/10.4294/zisin.2024-17.

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Bhargava, Rahul. "Load Frequency Control with an Optimum Feedback Controller Using a DFIG Based Wind Turbine Generator." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48620.

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Abstract- It's critical for large-scale power systems to retain frequency and inter-area tie line power close to the scheduled values. Load Frequency Control is aided by Automatic Generation Control (AGC). Due to environmental concerns, renewable energy sources are given more emphasis for energy generation in the current scenario. If load generation is not balanced, frequency disturbances will increase as the penetration of wind energy using doubly fed induction generators (DFIG) in power systems grows. This study uses the DFIG and a unique approach to manage the frequency and tie-line power v

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Yastikli, N., and Z. Cetin. "AUTOMATIC 3D BUILDING MODEL GENERATIONS WITH AIRBORNE LiDAR DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 411–14. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-411-2017.

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LiDAR systems become more and more popular because of the potential use for obtaining the point clouds of vegetation and man-made objects on the earth surface in an accurate and quick way. Nowadays, these airborne systems have been frequently used in wide range of applications such as DEM/DSM generation, topographic mapping, object extraction, vegetation mapping, 3 dimensional (3D) modelling and simulation, change detection, engineering works, revision of maps, coastal management and bathymetry. The 3D building model generation is the one of the most prominent applications of LiDAR system, whi

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Koch, Steven E., Brian D. Jamison, Chungu Lu, et al. "Turbulence and Gravity Waves within an Upper-Level Front." Journal of the Atmospheric Sciences 62, no. 11 (2005): 3885–908. http://dx.doi.org/10.1175/jas3574.1.

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Abstract High-resolution dropwindsonde and in-flight measurements collected by a research aircraft during the Severe Clear-Air Turbulence Colliding with Aircraft Traffic (SCATCAT) experiment and simulations from numerical models are analyzed for a clear-air turbulence event associated with an intense upper-level jet/frontal system. Spectral, wavelet, and structure function analyses performed with the 25-Hz in situ data are used to investigate the relationship between gravity waves and turbulence. Mesoscale dynamics are analyzed with the 20-km hydrostatic Rapid Update Cycle (RUC) model and a ne

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Csaszar, Elizabeth, Daniel Kirouac, Mei Yu, Caryn Ito, and Peter W. Zandstra. "Enhanced Human Hematopoietic Stem Cell Self-Renewal Enabled by Controlling Feedback Signaling From Lineage Committed Cells." Blood 118, no. 21 (2011): 1274. http://dx.doi.org/10.1182/blood.v118.21.1274.1274.

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Abstract Abstract 1274 Clinical outcomes of hematopoietic stem cell (HSC) transplantation are correlated with infused progenitor cell dose. Limited cell numbers in a typical umbilical cord blood (UCB) unit restricts the therapeutic potential of UCB and motivates ex vivo expansion of these cells. Strategies to grow HSCs have relied on the supplement of molecules acting directly on the stem cell population; however, in all cases, sustained HSC growth is limited by the concurrent growth of more mature cells and their endogenously produced inhibitory signaling factors. Despite increasing evidence

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Usmani, A. U., M. Jadidi, and G. Sohn. "AUTOMATIC ONTOLOGY GENERATION OF BIM AND GIS DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 24, 2020): 77–80. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-77-2020.

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Abstract. Data represented in the form of geospatial context and detailed building information are prominently nurturing infrastructure development and smart city applications. Bringing open-formats from data acquisition level to information engineering accelerates geospatial technologies towards urban sustainability and knowledge-based systems. BIM and GIS technologies are known to excel in this domain. However, fundamental level differences lie among their data-formats, which developed integration methods to bridge the gap between these distinct domains. Several studies have conducted data,

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Al-Shammaa, Mohammed, and Maysam F. Abbod. "Automatic Generation of Fuzzy Classification Rules from Data." International Journal of Fuzzy Systems and Advanced Applications 9 (March 13, 2022): 63–68. http://dx.doi.org/10.46300/91017.2022.9.10.

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In this paper, we propose a method for automatic generation of fuzzy rules for data classification. The proposed method is based on subtractive clustering optimized using genetic algorithm. It searches for the FIS structure and number of rules that have the highest fitness value. Multiple performance measures are incorporated into the fitness function to address the problem of imbalanced data. Fitness function includes both training and validation to avoid data over-fitting. Classification performance of the proposed method is evaluated using different data sets and results are compared to tho

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