Relevant bibliographies by topics / Generator approach

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

Academic literature on the topic 'Generator approach'

Author: Grafiati
Published: 11 January 2025

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Journal articles on the topic "Generator approach"

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Bhatia, Rahul, Vishakha Gautam, and Yash Kumar Ankush Garg. "Dynamic Question Answer Generator: An Enhanced Approach to Question Generation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 785–89. http://dx.doi.org/10.31142/ijtsrd23730.

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Beaupre, Spencer, Thomas Wiles, Sean Briggs, and Gillian Smith. "A Design Pattern Approach for Multi-Game Level Generation." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 14, no. 1 (September 25, 2018): 145–51. http://dx.doi.org/10.1609/aiide.v14i1.13043.

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Existing approaches to multi-game level generation rely upon level structure to emerge organically via level fitness. In this paper, we present a method for generating levels for games in the GVGAI framework using a design pattern-based approach, where design patterns are derived from an analysis of the existing corpus of GVGAI game levels. We created two new generators: one constructive, and one search-based, and compared them to a prior existing search-based generator. Results show that our generator is comparable, even preferred, over the prior generator, especially among players with existing game experience. Our search-based generator also outperforms our constructive generator in terms of player preference.
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BILYK, Oleksandr, and Serhii KONONOV. "A NEW APPROACH TO CREATING A HIGHLY STABLE RANGE MICROWAVE GENERATOR." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (August 2022): 51–57. http://dx.doi.org/10.31891/2307-5732-2022-311-4-51-57.

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A range microwave generator is considered. A frequency multiplier is installed in the PLL loop of the generator. There is no frequency divider in the generator. It has increased stability due to low output phase noise. The proposed device can be used in telecommunications and radio equipment. The microwave generator consists of an autogenerator, three multipliers, a bandpass filter, two low-pass filters, a reference frequency unit, a harmonic generator, and a control unit. Auxiliary units of the generator are two adders, a key and two controllers. The first multiplier together with the bandpass filter works as a stroboscopic transducer, the second – as a quadrator, the third with a low-pass filter – as a phase detector. The inputs of the stroboscopic converter receive two voltages from the harmonic generator. The frequencies of the first voltage harmonics are close. Voltages have the form of short pulses and are enriched with harmonics. After the signal at the output of the first low-pass filter, the first controller opens the key, switches the reference frequency node and through the second controller closes the PLL loop. The control unit sets the reference frequencies and changes the frequency of the autogenerator. The main nodes of the PLL loop are the third multiplier with the second low-pass filter. Auto-tuning of the generator begins with the appearance of the control signal from the quadrator. The signal appears after the strobe conversion frequency at the output of the bandpass filter coincides with the center frequency. The frequency instability of the range generator decreases. It is approaching the instability of the reference frequency. The stability of the reference frequencies determines the relative frequency error of the range of the microwave generator. The maximum frequency depends on the parameters and dynamic properties of the autogenerator, stroboscopic transducer and harmonic generator. A high-quality harmonic generator will provide a low level of phase noise. The structural scheme of the microwave generator is offered and its work is explained. The analysis of the mathematical model of the microwave generator is performed. The formulas of interrelation of voltages of knots with initial oscillation of the generator are received. Computer simulations have confirmed that the output frequency can be stabilized in the generator.
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Yousif, Raghad, and Ayad Ismaeel. "Robust Digital Image Encryption Approach Based on Extended Large-Scale Randomization Key-Stream Generator." Al-Kitab Journal for Pure Sciences 2, no. 2 (December 30, 2018): 175–95. http://dx.doi.org/10.32441/kjps.02.02.p12.

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This paper presents a novel image encryption scheme based on extended largescale randomization key-stream generator. The basic form of the key-stream generator is presented, and employed in digital image ciphering. The modification of the basic form also, presented, and gives encouraging results in image encryption as compared with classical non-linear stream cipher generators and the basic form. Pixel shuffling is performed via vertical and horizontal permutation. Shuffling is used to expand diffusion in the image and dissipate high correlation among image pixels the sequences generated from all presented generators are introduced to five well-known statistical tests of randomness to judge their randomness characteristic. The ciphered images are tested for their residual intelligibility subjectively. The measures applied to images ciphered by one of the classical key-stream cipher generators (Threshold generator) for the purpose of comparison with the presented key-stream algorithms. Experiments results show that the proposed algorithm achieves the image security. In order to evaluate performance, the proposed algorithm was measured through a series of tests. Experimental results illustrate that the proposed scheme shows a good resistance against brute-force and statistical attacks
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Yakut, Selman, Taner Tuncer, and Ahmet Bedri Özer. "A New Secure and Efficient Approach for TRNG and Its Post-Processing Algorithms." Journal of Circuits, Systems and Computers 29, no. 15 (May 21, 2020): 2050244. http://dx.doi.org/10.1142/s0218126620502448.

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Random numbers are important parameters for the security of cryptographic applications. In this study, a secure and efficient generator is proposed to generate random numbers. The first part of the generator is a true random number generator that consists of chaotic systems implemented on FPGA. The second part of the generator is a post-processing algorithm used to overcome the problems that emerge from the generator or environmental factors. As the post-processing algorithm, Keccak, the latest standard of hash algorithm, was rearranged and used. Random numbers with the proposed approach meet the security requirements for cryptographic applications. Furthermore, the NIST 800-22 test suite and autocorrelation test are used to ensure the generated numbers have no statistical weakness. The successful test results demonstrate the security of the generated numbers. An important advantage of the proposed generator does not cause any data loss and perform 100% efficiency although data loss can be up to 70% in some post-processing algorithms.
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Mostaman, Nur Afiqah, Erwan Sulaiman, and Mahyuzie Jenal. "A Review: Various Designs of Radial Flux Permanent Magnet Generator Technologies." IOP Conference Series: Earth and Environmental Science 1261, no. 1 (December 1, 2023): 012006. http://dx.doi.org/10.1088/1755-1315/1261/1/012006.

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Abstract In a renewable energy system, the amount of power generated by a renewable energy source constantly evolves. Furthermore, with the smart energy approach, small distributed renewable energy can be included into an industrialized network, enabling real-time optimization, and enabling communication with other facilities. A magnetic generator is one of the renewable energies that use the permanent magnet. As a result, this generator generated magnetic flux power by using the permanent magnetic field. An overview of the radial flux permanent magnet generator for small industry is provided in this study. First, a categorization and in-depth description of radial permanent magnet generators are reviewed. The important features of the permanent magnets are presented, along with their advantages and disadvantages. Additionally, an overview of the most recent machine developments is also presented. Lastly, an overview of the conventional radial flux permanent magnet generator designs that have been used in the development of small-scale generators is as follows.
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GHERMAN, Laurian, and Marian PEARSICA. "ELECTRIC GENERATOR POWERED BY A GYROSCOPIC SYSTEM - A THEORETICAL APPROACH." Review of the Air Force Academy 19, no. 1 (September 27, 2021): 27–36. http://dx.doi.org/10.19062/1842-9238.2021.19.1.3.

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The development of our society now depends on electrical energy and the demand for electrical power increases yearly. Due to the vast amount of carbon dioxide released in the atmosphere by conventional power plants and the negative influence on the climate, new ways of producing electricity must be developed. A gyroscope consists of a spinning flywheel of mass m mounted in a suspension frame that allows the flywheel’s axle to point in any direction. In this analysis, one end of the axle is supported by a pylon situated at a distance R from the center of mass of the spinning flywheel. In order to generate electrical energy at this low speed, the same approach should be used as in wind power electrical generators. In this case, the wind and propeller are substituted by a gyroscopic system and gravitational attraction. Based on the conservation of angular momentum, the gravitational attraction can be used to create a precession strong enough to provide the energy and torque necessary to activate an electric generator similar to those in wind power generators. Instead of recovering the energy from this kinetic energy, we can use the precession rotation created by gravitational attraction to create the necessary kinetic energy.
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Rusilawati, Rusilawati, Irrine Budi Sulistiawati, and Naoto Yorino. "Determination of Generator Capability Curve using Modified-Single Machine to Infinite Bus (M-SMIB) System Approach." E3S Web of Conferences 188 (2020): 00022. http://dx.doi.org/10.1051/e3sconf/202018800022.

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The capability curve for each generator unit is usually provided by the generator manufacturer. But in practice, the generator can reach its maximum generation limit before reaching the maximum limit on the generator capability curve provided by the generator manufacturer. This might occur because of the load location is far from the generator or the varying of the loading value so that the maximum generation limit is smaller than the value given on the generator capability curve of the manufacturer. In this paper, the generator capability curve is determined using the Modified Single Machine to Infinite Bus (M-SMIB) system approach to determine the maximum generation limit every time there is a change in loading or change in the load location. After the maximum generation limit of each unit generator is known, the generator capability curve that is always in accordance with the real time situation can be formed. Thus, the operation limit of each generator can be recognized, determine the appropriate protection system setting and can prevent the electric power system disturbance. This method will be applied to generator units in the four bus IEEE system with two generators.
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John A, Olawale, Moradeyo Oluwatomilola M, Ojoawo Akinwale O, Olaniyan Abolade S, and Adeyeye A. Hannah. "Multilanguage Software License Key Generator: Accented Characters Approach." International Research Journal of Innovations in Engineering and Technology 08, no. 06 (2024): 176–83. http://dx.doi.org/10.47001/irjiet/2024.806021.

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License key generator is an ideal program use to protect proprietary application against unauthorized access. From findings, the existing license key generator only support English speaking countries, which limits the participation of other language character sets. These Nonlatin sets are called accented characters which are important elements in both written and spoken language while their use in English is greatly confined to proper words borrowed from certain countries. However; this research enhances the existing license key algorithm through the use of accented characters which support multiple languages. In other to enhance the key generator, the existing data set were updated with accented characters using C# language. Advance Encryption Standard (AES) symmetric was used to secure the generated key at the cache level while linear congruential generator algorithm was used to generate the characters in a random format. Eureqa, an automated machine learning model was used to generate an equation that checks for the vulnerability, accuracy of the key generator. Therefore, the developed license key is more secure compare to the existing algorithm. Also, it support Multilanguage software key which improves the performance and allows more participation in its use. Hence, this developed system is useful for Non-English speaking countries, which provides more security through the encryption method.
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Garrido, Izaskun, Jon Lecube, Fares Mzoughi, Payam Aboutalebi, Irfan Ahmad, Salvador Cayuela, and Aitor Garrido. "Machine-Learning Approach for Prognosis of Oscillating Water Column Wave Generators." WSEAS TRANSACTIONS ON COMPUTERS 22 (September 19, 2023): 120–26. http://dx.doi.org/10.37394/23205.2023.22.15.

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Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the power generated and reducing the life expectancy. The problem of generator deterioration has been considered for the Mutriku MOWC plant and a machine learning-based approach for prognosis and fault characterization has been proposed. In particular, the use of k-Nearest Neighbor (kNN) models for predicting the time to failure of OWC generators has been proposed. The analysis is based on data collected from sensors that measure various operational parameters of the turbines. The results demonstrate that the proposed kNN model is an excellent choice for reducing maintenance costs by enabling maintenance scheduling months in advance. The model's high accuracy in predicting generator failures allows for timely and cost-effective maintenance, preventing costly breakdowns and improving turbine efficiency. The results highlight the potential of machine learning-based approaches for addressing maintenance challenges in the energy sector and underscore the importance of proactive maintenance strategies in reducing operational costs and maximizing energy production.
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Dissertations / Theses on the topic "Generator approach"

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Bolund, Björn. "Electric Power Generation and Storage Using a High Voltage Approach." Doctoral thesis, Uppsala University, Department of Engineering Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6833.

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Production and consumption of electricity have grown enormously during the last century. No mater what the primary source of energy is, almost all generation of electricity comes from conversion of a rotational movement in a generator. The aim of this thesis is to see how high voltage technology influence production and storage of electricity. Power flow in the generators used to convert mechanical movement to electric energy is analyzed using Poynting‘s vector. The impact of new generator technology for efficient extraction of hydroelectric power is shown. Simulation of a large permanent magnet turbo generator is presented. A flywheel storage system for electric vehicles utilizing high voltage technology is also presented. In pulsed power applications, a cheap method for intermediate storage of energy during milliseconds, which enables an inductive primary storage is presented and experimentally tested.

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Meier, Börn. "CHEMOTACTIC GRADIENT GENERATOR - A microfluidic Approach on how D. discoideum change direction." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-141694.

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Honorato-Zimmer, Ricardo. "On a thermodynamic approach to biomolecular interaction networks." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28904.

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We explore the direct and inverse problem of thermodynamics in the context of rule-based modelling. The direct problem can be concisely stated as obtaining a set of rewriting rules and their rates from the description of the energy landscape such that their asymptotic behaviour when t → ∞ coincide. To tackle this problem, we describe an energy function as a finite set of connected patterns P and an energy cost function e which associates real values to each of these energy patterns. We use a finite set of reversible graph rewriting rules G to define the qualitative dynamics by showing which transformations are possible. Given G and P, we construct a finite set of rules Gp which i) has the same qualitative transition system as G and ii) when equipped with rates according to e, defines a continuous-time Markov chain that has detailed balance with respect to the invariant probability distribution determined by the energy function. The construction relies on a technique for rule refinement described in earlier work and allows us to represent thermodynamically consistent models of biochemical interaction networks in a concise manner. The inverse problem, on the other hand, is to i) check whether a rule-based model has an energy function that describes its asymptotic behaviour and if so ii) obtain the energy function from the graph rewriting rules and their rates. Although this problem is known to be undecidable in the general case, we find two suitable subsets of Kappa, our rule-based modelling framework of choice, were this question can be answer positively and the form of their energy functions described analytically.
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Dancy, Alant'e Jaquan. "Energy Harvesting IC Design for an Electromagnetic Generator Based on the Split Capacitor Approach." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85043.

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The proposed energy harvesting system intends to harvest vibrational energy via an electromagnetic generator (EMG). The proposed circuit intends to extract maximum power from the EMG by utilizing the maximum power transfer theorem which states that maximum power is transferred to the load when the source resistance equals the load resistance. The proposed circuit is a synchronous split-capacitor boost converter operating in boundary conduction mode (BCM) to achieve impedance matching and therefore maximum power transferred to the load. The circuit topology combines the rectifier and power stage to reduce power loss of the power management integrated circuit (PMIC). The proposed circuit is designed and fabricated in 130 nm BiCMOS technology. The circuit is validated through schematic level simulations and post-layout simulations. The results conclude the proposed circuit and control operates in a manner to achieve BCM.
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Chen, Jian. "Nonlinear adaptive control of permanent magnet synchronous generator based wind turbine : a perturbation estimation approach." Thesis, University of Liverpool, 2014. http://livrepository.liverpool.ac.uk/2007963/.

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This thesis deals with the modeling and control of permanent magnet synchronous generator based wind turbines (PMSG-WTs). The PMSG-WTs are widely used in wind energy conversion systems(WECSs), due to their merits such as high reliability, high efficiency, low noise, high torque to weight ratio and fast dynamic response. Usually, a PMSG-WT is connected to the power grid via an AC-DC-AC converter system. The PMSG-WT can rotate at varying speed based on variable wind power input and thus achieve high efficiency as it dose not need to synchronise its rotational speed with the grid frequency. An overview of the modeling of the PMSG-WT is give at first, with conventional vector control (VC) strategies applied for machine-side and grid-side converter. The VC strategy is a popular method widely used in industry due to its decoupled control of active/reactive power, but it may not provide satisfactory performance for the PMSG-WT as it is required to operate at varying speed in an operation envelope with wide operating range rather than one operation point. The feedback linearisation control (FLC) strategy can improve the performance of the VC with a global optimal controller crossing a wide region and variable operation points, but it has weak robustness against parameter uncertainties and external disturbances, and requires full state measurements. To improve performance of the VC and the FLC, nonlinear adaptive controllers (NACs) designed based on FLC and perturbation estimation and their applications in machine-side and grid-side converter control of the PMSG-WT, and speed control of a permanent magnet synchronous motor (PMSM) have been studied. In the design of the proposed NAC, by defining a lumped perturbation term to present coupling nonlinear dynamics, parameter uncertainties, and other unknown disturbance, then a perturbation observer is designed to estimate the perturbation which is used to compensate the real perturbation and realise an adaptive linearising of the original nonlinear system, without requiring the accurate system model and parameters and full state measurements, and still considering all system nonlinearities and unknown time-varying dynamics, such as tower shadow, grid faults and intermittent wind power inputs. In this thesis, the proposed control schemes are applied for control of PMSGWT in Region 2, Region 3 and integration with the grid. A NAC is developed for a PMSG-WT to extract maximum wind power in Region 2. Simulation and experiment studies are carried out to verify the design and results show that the proposed NAC can provide better performance in MPPT and robustness against parameter uncertainties and time-varying wind power inputs, in comparison with a convention VC and FLC. NACs are designed for control of the pitch angle and generator control of a PMSG-WT to limit the extracted power from time varying wind in Region 3. Simulation results of the proposed NACs are compared to a conventional VC and FLC. The fault ride-through capability (FRTC) of the PMSG-WT at different voltage dip’s levels has been enhanced by a novel NAC applied at the grid-side converter. Simulation results have shown that the proposed NAC can provide satisfactory performances with smaller inrush current and voltage overshoots during grid fault and better robustness against uncertainties. A coordinated nonlinear adaptive control (CNAC) of the machine-side and grid-side converter in the PMSG-WT were studied. The NACs are designed based on state and perturbation observers for control of subsystems. Simulation results show that the CNAC can coordinate each other to achieve the objectives of different operating regions and enhance the FRTC of the PMSG-WT. Finally, the proposed control schemes are applied for control of PMSM. NAC is developed for PMSM to track mechanical rotation speed and provide high robustness against system parameter uncertainties and unknown time-varying load disturbances. Simulation results show that the proposed NAC provides better performance and robustness against system parameter uncertainties and unknown time-varying load disturbances, in comparison with a nonlinear controller with an extended nonlinear observer and a conventional VC.
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Krishnaswamy, Vijay. "Heuristic network generator : an expert systems approach for selection of alternative routes during incident conditions /." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05022009-040559/.

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DeBruyn, Adrian Bryan. "Integration of Combined Heat and Power Generators into Small Buildings - A Transient Analysis Approach." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2830.

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Small combined heat and power generators have the potential to reduce energy consumption and greenhouse gas emissions of residential buildings. Recently, much attention has been given to these units. To date, the majority of studies in this field have concentrated on the steady operational performance of a specific generator type, and the available computer models have largely been theoretical in nature.

The main goal of this study was to evaluate the performance of the latest combined heat and power generators, when integrated into Canadian residential homes. A fair comparison of four 1 kW (electrical) units was made. The combined heat and power units studied were based on PEM fuel cell, solid oxide fuel cell, Stirling Engine, and internal combustion engine energy converters.

This study utilized recent test data in an attempt to evaluate the most efficient method of integrating the combined heat and power units into residential houses. Start-up, shut down, and load change transients were incorporated into the simulations. The impact of load variations due to building thermal envelope differences and varying building heating system equipment was evaluated. The simulations were evaluated using TRNSYS software. The building heat demands were determined with eQuest hourly building simulation software.

All of the combined heat and power units under study were capable of providing a net annual benefit with respect to global energy and greenhouse gas emissions. The fuel cells offer the highest integrated performance, followed closely by the internal combustion engine and lastly the Stirling engine. Annual global energy savings up to 20%, and greenhouse gas savings up to 5. 5 tonnes per year can be achieved compared to the best conventional high efficiency appliances.

Heat demand influences performance greatly. As the thermal output of the generator unit approaches half of the average building thermal demand, the system design becomes critical. The system design is also critical when integrating with a forced air furnace. Only the PEM fuel cell unit produces clear global energy and emissions benefits when operating in the summertime.
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Meier, Björn Verfasser], and Joachim [Akademischer Betreuer] [Rädler. "Chemotactic gradient generator : a microfluidic approach on how Dictyostelium discoideum change direction / Börn Meier. Betreuer: Joachim Rädler." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012. http://d-nb.info/1021307564/34.

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Helvey, Eric Lee. "Trafgen an efficient approach to statistically accurate artificial network traffic generation." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176494135.

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Bloxham, Matthew Jon. "A Global Approach to Turbomachinery Flow Control: Loss Reduction using Endwall Suction and Midspan Vortex Generator Jet Blowing." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1267472116.

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Books on the topic "Generator approach"

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Yu, Meng-Lin. Automatic random logic layout synthesis: A module generator approach. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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1945-, Kunt M., ed. Video coding: The second generation approach. Boston: Kluwer Academic, 1996.

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Torres, Luis. Video Coding: The Second Generation Approach. Boston, MA: Springer US, 1996.

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Singh, Narinder. An Artificial Intelligence Approach to Test Generation. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1979-5.

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Singh, Narinder. An Artificial Intelligence Approach to Test Generation. Boston, MA: Springer US, 1987.

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Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.

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When considering the main trends in the development of modern autonomous objects (aircraft, combat vehicles, motor vehicles, floating vehicles, agricultural machines, etc.) in recent decades, two key areas can be identified. The first direction is associated with the improvement of traditional designs of autonomous objects (AO) with an internal combustion engine (ICE) or a gas turbine engine (GTD). The second direction is connected with the creation of new types of joint-stock companies, namely electric joint-stock companies( EAO), joint-stock companies with combined power plants (AOKEU). The energy efficiency is largely determined by the power of the generator set and the battery, which is given to the electrical network in various driving modes. Most of the existing methods for calculating power supply systems use the average values of disturbing factors (generator speed, current of electric energy consumers, voltage in the on-board network) when choosing the characteristics of the generator set and the battery. At the same time, it is obvious that when operating a motor vehicle, these parameters change depending on the driving mode. Modern methods of selecting the main parameters and characteristics of the power supply system do not provide for modeling its interaction with the power unit start-up system of a motor vehicle in operation due to the lack of a systematic approach. The choice of a generator set and a battery, as well as the concept of the synthesis of the power supply system is a problem studied in the monograph. For all those interested in electrical engineering and electronics.
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Liseikin, Vladimir D. A Computational Differential Geometry Approach to Grid Generation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05415-4.

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Kumar, Shashi. Rural women, a system approach for income generation. New Delhi: Har-Anand Publications, 1995.

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David, Martin. An approach to surface generation centroid-type data. Cardiff: Wales and South West Regional Research Laboratory, 1988.

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Liseikin, Vladimir D. A Computational Differential Geometry Approach to Grid Generation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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Book chapters on the topic "Generator approach"

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Breda, Dimitri, Stefano Maset, and Rossana Vermiglio. "The Infinitesimal Generator Approach." In SpringerBriefs in Electrical and Computer Engineering, 45–65. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2107-2_5.

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Soule, Paul. "The RemoteJ Compiler/Generator Implementation." In Autonomics Development: A Domain-Specific Aspect Language Approach, 77–95. Basel: Springer Basel, 2010. http://dx.doi.org/10.1007/978-3-0346-0540-3_5.

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Holst, Dirk, Daniel Schoepflin, and Thorsten Schüppstuhl. "Generation of Synthetic AI Training Data for Robotic Grasp-Candidate Identification and Evaluation in Intralogistics Bin-Picking Scenarios." In Lecture Notes in Mechanical Engineering, 284–92. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_28.

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AbstractRobotic bin picking remains a main challenge for the wide enablement of industrial robotic tasks. While AI-enabled picking approaches are encouraging they repeatedly face the problem of data availability. The scope of this paper is to present a method that combines analytical grasp research with the field of synthetic data creation to generate individual training data for use-cases in intralogistics transportation scenarios. Special attention is given to systematic grasp finding for new objects and unknown geometries in transportation bins and to match the generated data to a real two-finger parallel gripper. The presented approach includes a grasping simulation in Pybullet to investigate the general tangibility of objects under uncertainty and combines these findings with a previously reported virtual scene generator in Blender, which generates AI-images of fully packed transport boxes, including depth maps and necessary annotations. This paper, therefore, contributes a synthesizing and cross-topic approach that combines different facets of bin-picking research such as geometric analysis, determination of tangibility of objects, grasping under uncertainty, finding grasps in dynamic and restricted bin-environments, and automation of synthetic data generation. The approach is utilized to generate synthetic grasp training data and to train a grasp-generating convolutional neural network (GG-CNN) and demonstrated on real-world objects.
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Sonnich Mortensen, O. "A Noncommuting-generator approach to molecular symmetry." In Structure and Bonding, 1–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-18058-3_1.

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Cancellieri, Giovanni. "Generator Matrix Approach to Linear Block Codes." In Polynomial Theory of Error Correcting Codes, 3–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01727-3_1.

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Yueyang, Wang, and Philip F. Yuan. "A Parametric Approach Towards Carbon Net Zero in Agricultural Planning." In Computational Design and Robotic Fabrication, 305–14. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8405-3_26.

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AbstractThis paper presents a new tool called the Space Data Generator, which is a parametric tool for organizing open spaces in rural areas. It can optimize the layout of buildings, solar panels, and agricultural planting spaces. While architects have been exploring ways to achieve net-zero carbon emissions in building design, it is equally important to attain a feasible carbon-neutral goal in rural areas. This is particularly crucial as 40% of the world's population resides in rural areas, and transitioning towards a more sustainable and efficient economy can bring about not only moral but also economic benefits through proper management [1].The Space Date Generator offers a powerful spatial planning approach for optimizing and planning agricultural resources on any given land. This innovative tool utilizes a combination of remote sensing to generate precise maps of the land, providing a comprehensive understanding of its terrain and potential agricultural resources. With this information, farmers and land managers can make informed decisions about crop selection, irrigation, and fertilizer application, among other factors. By using the Space Date Generator, they can optimize the use of available resources and maximize crop yields, ultimately increasing profitability and sustainability in agriculture [2].Overall, the Space Date Generator is a valuable tool for any farmer or land manager looking to make the most of their land and resources. Its ability to provide detailed and accurate data on the land's potential agricultural resources can help to streamline decision-making processes and ultimately lead to more efficient and sustainable land use practices. The Space data generator uses the collected site coordinate information, geographical status (including stones, lakes, and water patterns), and the planted plants’ price as input. Divide the site into small squares, then configure enough solar panels in the optimal sunlight area of the site to meet the user's needs, and then plant crops on the remaining land. The Space data generator will analyze the number of calories a household needs each year as a percentage. If there is a surplus, the excess food can be allocated to generate economic outcomes on the market. The land area at hand will be subdivided based on its sun ratio, which is a relatively straightforward process. However, we are also interested in determining the value of excess vegetation that may grow in the allocated space. In this regard, the Space Data Generator can prove to be a valuable tool, not only for this particular scenario but also in other types of agricultural settings such as those involving a mix of livestock and crops. Additionally, it may be possible to use this tool to calculate the optimal harvesting of various plant species at different points in the seasonal cycle.The Space Date Generator has the potential to offer valuable references for optimizing agricultural schemes. However, it must provide users with completely accurate results. Unfortunately, it currently cannot measure crucial factors such as soil type and moisture level, which are essential for agricultural planning. Despite this limitation, the Space Data Generator is a flexible tool that can be modified as research advances, allowing for more inputs to be added to improve its accuracy. Moreover, the Space Data Generator can provide guidance in various other areas based on the specific needs of the user. For instance, it can offer guidelines for traffic and urban design, among other demands. By leveraging this technology, users can access more precise and relevant information, enhancing their decision-making capabilities. As such, the Space Data Generator represents a valuable tool for various industries and sectors.Guidelines:
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Sinha, Sanjay Kumar, Brajesh Tiwari, and Dipankar Deb. "Thermo-Magneto-Electric Generator—An Approximate Theoretical Approach." In Advances in Intelligent Systems and Computing, 317–27. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1966-2_28.

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Rekha, R. U., M. Anand Kumar, V. Dhanalakshmi, K. P. Soman, and S. Rajendran. "A Novel Approach to Morphological Generator for Tamil." In Lecture Notes in Computer Science, 249–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27872-3_37.

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Law, Hung-fai Stephen, and Graham Wood. "A Mixed-Media Approach to Module Generator Design." In Design Systems for VLSI Circuits, 387–401. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3649-2_11.

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Carraro, Diego, and Kenneth N. Brown. "CouRGe: Counterfactual Reviews Generator for Sentiment Analysis." In Communications in Computer and Information Science, 305–17. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_24.

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AbstractPast literature in Natural Language Processing (NLP) has demonstrated that counterfactual data points are useful, for example, for increasing model generalisation, enhancing model interpretability, and as a data augmentation approach. However, obtaining counterfactual examples often requires human annotation effort, which is an expensive and highly skilled process. For these reasons, solutions that resort to transformer-based language models have been recently proposed to generate counterfactuals automatically, but such solutions show limitations.In this paper, we present CouRGe, a language model that, given a movie review (i.e. a seed review) and its sentiment label, generates a counterfactual review that is close (similar) to the seed review but of the opposite sentiment. CouRGe is trained by supervised fine-tuning of GPT-2 on a task-specific dataset of paired movie reviews, and its generation is prompt-based. The model does not require any modification to the network’s architecture or the design of a specific new task for fine-tuning.Experiments show that CouRGe’s generation is effective at flipping the seed sentiment and produces counterfactuals reasonably close to the seed review. This proves once again the great flexibility of language models towards downstream tasks as hard as counterfactual reasoning and opens up the use of CouRGe’s generated counterfactuals for the applications mentioned above.
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Conference papers on the topic "Generator approach"

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Kumar, P., K. Deivanai, S. Srivathsav, M. Uthandeeswar, and S. Senthil Pandi. "A Novel Approach for Face Generator Based on Emotions." In 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/iccigst60741.2024.10717467.

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Lohse, Benjamin, Tobias Manfred Högerl, Nina Sorokina, Manuel Kuder, and Thomas Weyh. "Novel Pulse Generator for Advanced TMS Applications: A Multilevel Converter Approach." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES), 1–9. IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811377.

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Chivukula, V. N. Aditya Datta, Abhiram Reddy Cholleti, and Rakesh Chandra Balabantaray. "Lyrics to Music Generator: Statistical Approach." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111209.

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Natural Language Processing is in growing demand with recent developments. This Generator model is one such example of a music generation system conditioned on lyrics. The model proposed has been tested on songs having lyrics written only in English, but the idea can be generalized to various languages. This paper’s objective is to mainly explain how one can create a music generator using statistical machine learning methods. This paper also explains how effectively outputs can be formulated, which are the music signals as they are million sized over a short period frame. The parameters mentioned in the paper only serve an explanatory purpose. This paper discusses the effective statistical formulation of output thereby decreasing the vast amount of estimation of output parameters, and how to reconstruct the audio signals from predicted parameters by using ‘phase-shift algorithm’.
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Hafid, Abdul, Adriani Adriani, and Rahmania Rahmania. "Fuzzy controller simulation for micro hydro generator load control using Simulink Matlab." In ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0129525.

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Chee Hoong, Leong, and Lee Sai Peck. "RepCom: A Customisable Report Generator Component System using XML-driven Component-based Development Approach." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2597.

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It is undeniable that report generation is one of the most important tasks in many companies regardless of the size of the company. A good report generation mechanism can increase a company’s productivity in terms of effort and time. This is more obvious in some startup companies, which normally use some in-house report generators. Application development could be complex and thus software developers might require substantial efforts in maintaining application program code. In addition, most of the report generators use a different kind of format to store the report model. An application is no longer considered an enterprise-level product if XML is not being used elsewhere. This paper introduces a XML-driven and Component-based development approach to report generation with the purpose of promoting portability, flexibility and genericity. In this approach, report layout is specified using user-defined XML elements together with queries that retrieve data from different databases. A report is output as an HTML document, which can be viewed using an Internet browser. This paper presents the approach using an example and discusses the usage of the XML-driven report schema and how the proposed reusable report engine of a customisable report generator component system works to output an HTML report format. The customisable report generator component system is implemented to support heterogeneous database models.
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Wei, Chng Chern. "DNA approach for password conversion generator." In 2014 International Symposium on Biometrics and Security Technologies (ISBAST). IEEE, 2014. http://dx.doi.org/10.1109/isbast.2014.7013114.

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Lai, Runyu, Di Zhao, and Sandipan Mishra. "A Machine-Learning Approach for Time-Optimal Trajectory Generation for UAV's." In Vertical Flight Society 76th Annual Forum & Technology Display. The Vertical Flight Society, 2020. http://dx.doi.org/10.4050/f-0076-2020-16326.

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This paper presents a data-driven approach towards time-optimal trajectory generation for Unmanned Aerial Vehicles (UAV's) using a machine-learned trajectory generation mechanism for point-to-point time-optimal trajectories on-the-fly. To train this machine-learned black box trajectory generator off-line, a model-based optimization problem is first constructed for point-to-point time-optimal trajectory generation, with physical constraints on inputs, states, and rates. The formulated optimization problem is then solved off-line for a range of initial and terminal flight states to generate point-to-point data-sets that consist of the optimal state and input trajectories. This information is compressed by parameterizing the input and state trajectories using a set of basis functions. This data is then used to train the neural network-based trajectory planner. The output of the neural network is the basis function coefficient sets for the state and input trajectories (and the total flight time) which can then be used to reconstruct the flight trajectory. Once the neural network is trained, the data-driven on-board trajectory generator is ready to be deployed on the UAV for on-board planning. This approach is demonstrated for two scenarios: (1) the input to the neural network being the initial and terminal flight states and (2) the input to the neural network being initial and terminal flight states as well as physical constraints. To validate the performance of the machine-learned black-box trajectory generator, the root mean squared error between the neural network generated trajectories and the trajectories obtained from solving the optimization problem directly is statistically evaluated. These trajectories are also tested for violation of path constraints (which are not included explicitly in the training or input to the black box planner) by evaluating the mean constraint violation for each path-constrained variable.
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Wong, Y. K. "GA approach to scheduling of generator units." In APSCOM 2000 - 5th International Conference on Advances in Power System Control, Operation and Management. IEE, 2000. http://dx.doi.org/10.1049/cp:20000378.

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Puschmann, R., M. M. Barbosa, S. Scheitz, L. M. Berger, F. L. Toma, C. Leyens, and E. Beyer. "Technological Approach for a Full Thermally Sprayed Thermoelectric Generator." In ITSC 2014, edited by R. S. Lima, A. Agarwal, M. M. Hyland, Y. C. Lau, G. Mauer, A. McDonald, and F. L. Toma. DVS Media GmbH, 2014. http://dx.doi.org/10.31399/asm.cp.itsc2014p0513.

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Abstract The work presented in this paper addresses some of the challenges of manufacturing thermoelectric (TE) generators by thermal spraying. One of the main obstacles is achieving good coat-on-coat bonding between different types of materials. The coatings must also be mechanically stable and optimized for their respective function. At least four types of materials are required, including electrical insulators, conductors, and thermoelectrically active p- and n-type semiconductors. Four ceramic and three metal feedstock powers were deposited by APS, HVOF, and HVAF spraying using special masking systems, substrate pretreatments, and layer thickness monitoring. After process optimization for each material, multilayer TE generator modules were successfully produced.
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Fathin Saifur Rahman and Nanang Hariyanto. "Underfrequency load shedding scheme using generator coherency approach." In 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845731.

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Reports on the topic "Generator approach"

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Haider, Q., D. Gogny, and M. S. Weiss. Microscopic approach to the generator coordinate method. Office of Scientific and Technical Information (OSTI), August 1989. http://dx.doi.org/10.2172/5691625.

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Pasqualini, Donatella. A Statistical Approach For Modeling Tropical Cyclones. Synthetic Hurricanes Generator Model. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1253509.

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Pitarka, A. Performance of Irikura's Recipe Rupture Model Generator in Earthquake Ground Motion Simulations as Implemented in the Graves and Pitarka Hybrid Approach. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1335790.

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de Abreu, Jonas, and Mariana Cunha e Melo. Extending Pix: An approach to offline Dynamic QR Code generation. Center for Technology and Public Interest, SL, April 2023. http://dx.doi.org/10.59262/9qu6ex.

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The Pix Dynamic QR Code URI can be extended to allow for offline QR Code generation. The proposed solution involves generating URIs that can be used as a vehicle to transmit information from the client to the server, allowing the payee to generate their own URIs. The document also goes into detail about URI properties, encoding, and cryptography. The proposed design balances tradeoffs between the amount of data that can be transmitted and cryptographic guarantees, and uses commonly available cryptographic primitives to reduce implementation costs.
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Cumberbatch, Janice, Cassandra Rogers, Maja Schling, Michele H. Lemay, Onil Banerjee, Kevin Boyle, and Barbara Kanninen. A Retrospective Stated Preference Approach to Assessment of Coastal Infrastructure Investments: An Application to Barbados. Inter-American Development Bank, September 2016. http://dx.doi.org/10.18235/0011762.

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Ex-post economic impact evaluations are standard requirements for loans and grants from multilateral international development institutions. In many cases, however, lack of sufficient baseline or historical data, or the very nature of the investment itself renders orthodox economic impact evaluation approaches unviable. Nonetheless, evaluations are required to provide an indication of the benefits generated by the investment and insights for future program design. Addressing this challenge, this paper develops an ecosystem service, retrospective stated preferences approach to assess the benefits of a coastal infrastructure investment in Barbados. Results show that the investment generated cultural and aesthetic ecosystem service benefits for tourists and residents, and that local businesses derived value and avoided some damage costs from the enhancement of regulatory ecosystem services. The approach is versatile facing data constraints and generates policy-relevant information to support decisions to scale up interventions, catalyze additional investment, and provide data on user preferences that can be incorporated in the design of future interventions.
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Ennasr, Osama, Charles Ellison, Anton Netchaev, Ahmet Soylemezoglu, and Garry Glaspell. Unmanned ground vehicle (UGV) path planning in 2.5D and 3D. Engineer Research and Development Center (U.S.), August 2023. http://dx.doi.org/10.21079/11681/47459.

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Herein, we explored path planning in 2.5D and 3D for unmanned ground vehicle (UGV) applications. For real-time 2.5D navigation, we investigated generating 2.5D occupancy grids using either elevation or traversability to determine path costs. Compared to elevation, traversability, which used a layered approach generated from surface normals, was more robust for the tested environments. A layered approached was also used for 3D path planning. While it was possible to use the 3D approach in real time, the time required to generate 3D meshes meant that the only way to effectively path plan was to use a preexisting point cloud environment. As a result, we explored generating 3D meshes from a variety of sources, including handheld sensors, UGVs, UAVs, and aerial lidar.
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Muñoz Chávez, Anyi Milena, Lina Marcela Cárdenas Cleves, Luis Fernando Marmolejo Rebellón, Dagoberto Angulo, Norberto Estrada, and Jaiber Amaya. Community-based Management of Used Cooking Oil for its Sistainable Use and Valorisation. Universidad del Valle, September 2024. http://dx.doi.org/10.25100/policy-briefs.pb.12-eng.

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Used Cooking Oil (UCO) is a waste product from food preparation whose physicochemical characteristics change during the cooking process, making it unfit for human consumption; additionally, its inadequate management affects water resources, soil, fauna and public health. Its management is usually regulated for generators that carry out industrial, commercial and service activities, including basic duties for the residential sector, oriented towards its collection and delivery to storage sites, not usually accessible to all households. This Policy Brief proposes the incorporation of individual and collective community management of UCO as an opportunity to ensure the proper handling of this waste at the place of generation and proposes a series of recommendations to foster this practice. This approach reduces the costs of UCO management, avoids the disposal of this type of waste in the surrounding areas and increases the possibility of achieving its transformation into a new product with added value for the communities where it is generated.
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Ma, Yue, and Felix Distel. Learning Formal Definitions for Snomed CT from Text. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.193.

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Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. Existing approaches for ontology generation mostly focus on learning superclass or subclass relations and therefore fail to be used to generate Snomed CT definitions. In this paper, we present an approach for the extraction of Snomed CT definitions from natural language texts, based on the distance relation extraction approach. By benefiting from a relatively large amount of textual data for the medical domain and the rich content of Snomed CT, such an approach comes with the benefit that no manually labelled corpus is required. We also show that the type information for Snomed CT concept is an important feature to be examined for such a system. We test and evaluate the approach using two types of texts. Experimental results show that the proposed approach is promising to assist Snomed CT development.
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Muljadi, E., P. W. Carlin, and R. M. Osgood. Circle diagram approach for self excited induction generators. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10161179.

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Beckman, Kenneth, H. C. Cates, and Keith Schultz. GRl-99-0279 Market Drivers and Probable Trends in the Utilization of Natural Gas Storage - 1999 Update. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 1999. http://dx.doi.org/10.55274/r0011132.

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The study consisted of a survey of natural gas storage users and providers to determine Approach the current needs for various types of storage services and probable trends for the next five years. Approximately 350 representatives from various types of natural gas users and suppliers were contacted, including Local Distribution Companies (LDCs), Electric Generation Companies (Generators), combination utilities (LDC/UEGs), both gas and electric Municipal Utilities (Municipals), and Industrial Gas Users (Industrials). Pipelines, Producers, and Marketers (PPM) were also included, and for purposes of this analysis, have been grouped together.
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