Journal articles: '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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Agarala, Ajaysekhar, Sunil S. Bhat, Daria Zychma, and Pawel Sowa. "A Novel Approach to Using Dual-Field Excited Synchronous Generators as Wind Power Generators." Energies 17, no. 2 (January 17, 2024): 456. http://dx.doi.org/10.3390/en17020456.

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Integrating wind power generators, whose frequency varies in a wide range due to varying wind speeds, into a grid is a formidable problem. At present, the use of permanent magnet synchronous generators (PMSG) and doubly fed induction generators (DFIG) as wind generators with suitable control is the best possible solution. However, a dual-field excited synchronous generator (DESG), which has two windings on the rotor, can also be used for the same purpose with appropriate control. A new control strategy, which essentially employs the d-axis and q-axis components of the alternator terminal voltage, is suggested here. This strategy essentially results in exciting the two field windings with a slip frequency. This eventually holds the stator frequency constant, irrespective of the rotor speed of the wind generator. The difference between the required frequency and the natural frequency, analogous to the rotor speed of the wind power generator, is the slip frequency. The ring modulator automatically adjusts the slip frequency depending on the actual speed of the generator’s rotor. This paper uses the ANSYS MAXWELL 2022 R1 software to design a DESG and uses a ring modulator as the control function generator for feedback with ANSYS TWIN BUILDER 2022 R1. Simulations are carried out using transient–transient co-simulation by combining both of these software tools for cases of both a constant-speed input and of a variable-speed input to the rotor of the machine. Moreover, a mathematical model of the DESG as a wind generator with the proposed controlled strategy is used to perform the stability analysis of a nine-bus three-machine system, and the results are compared with those of conventional wind generators.

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Shaker, Noor, and Mohamed Abou-Zleikha. "Alone We Can Do So Little, Together We Can Do So Much: A Combinatorial Approach for Generating Game Content." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, no. 1 (June 29, 2021): 167–73. http://dx.doi.org/10.1609/aiide.v10i1.12729.

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In this paper we present a procedural content generator using Non-negative Matrix Factorisation (NMF). We use representative levels from five dissimilar content generators to train NMF models that learn patterns about the various components of the game. The constructed models are then used to automatically generate content that resembles the training data as well as to generate novel content through exploring new combinations of patterns. We describe the methodology followed and we show that the generator proposed has a more powerful capability than each of generator taken individually. The generator's output is compared to the other generators using a number of expressivity metrics. The results show that the proposed generator is able to resemble each individual generator as well as demonstrating ability to cover a wider and more novel content space.

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Lamin, Chaantrea Miky, and Arvind Kumar Singh. "Minimization of transmission loss using distributed generation approach." International Journal for Simulation and Multidisciplinary Design Optimization 9 (2018): A1. http://dx.doi.org/10.1051/smdo/2017008.

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The goal of this work is to calculate the total loss in the system and minimize this loss by implementation of distributed generation (DG) technology. In this paper, load flow analysis method is followed to calculate the loss in the system in conjunction with the line flows. A simple 5 bus system with the main bus of the substation as the slack bus, three Plant generators at the generator bus and three load buses are taken for analysis. For loss minimization two distributed generators at two load buses are connected. One generator is a synchronous type model and the other is asynchronous type model. We searched for the most economical penetration level and the ratings of the distributed generators are decided by the magnitude of penetration power at each load bus. Using software, power system simulation for electrical (PSSE), the system with and without DG technology is modeled and the output from the PSSE is observed.

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Chen, Xinyu, Zhenyu Shi, Yuanqi Xie, Zichen Zhang, Achraf Cohen, and Shusen Pu. "Advancing Continuous Distribution Generation: An Exponentiated Odds Ratio Generator Approach." Entropy 26, no. 12 (November 22, 2024): 1006. http://dx.doi.org/10.3390/e26121006.

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This paper presents a new methodology for generating continuous statistical distributions, integrating the exponentiated odds ratio within the framework of survival analysis. This new method enhances the flexibility and adaptability of distribution models to effectively address the complexities inherent in contemporary datasets. The core of this advancement is illustrated by introducing a particular subfamily, the “Type 2 Gumbel Weibull-G family of distributions”. We provide a comprehensive analysis of the mathematical properties of these distributions, including statistical properties such as density functions, moments, hazard rate and quantile functions, Rényi entropy, order statistics, and the concept of stochastic ordering. To test the robustness of our new model, we apply five distinct methods for parameter estimation. The practical applicability of the Type 2 Gumbel Weibull-G distributions is further supported through the analysis of three real-world datasets. These real-life applications illustrate the exceptional statistical precision of our distributions compared to existing models, thereby reinforcing their significant value in both theoretical and practical statistical applications.

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Uludağlı, Muhtar Çağkan, and Kaya Oğuz. "From attributes to communities: a novel approach in social network generation." PeerJ Computer Science 10 (November 22, 2024): e2483. http://dx.doi.org/10.7717/peerj-cs.2483.

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Generating networks with attributes would be useful in computer game development by enabling dynamic social interactions, adaptive storylines, realistic economic systems, ecosystem modelling, urban development, strategic planning, and adaptive learning systems. To this end, we propose the Attribute-based Realistic Community and Associate NEtwork (ARCANE) algorithm to generate node-attributed networks with functional communities. We have designed a numerical node attribute-edge relationship computation system to handle the edge generation phase of our network generator, which is a different method from our predecessors. We combine this system with the proximity between nodes to create more life-like communities. Our method is compared against other node-attributed social network generators in the area with using both different evaluation metrics and a real-world dataset. The model properties evaluation identified ARCANE as the leading generator, with another generator ranking in a tie for first place. As a more favorable outcome for our approach, the community detection evaluation indicated that ARCANE exhibited superior performance compared to other competing generators within this domain. This thorough evaluation of the resulting graphs show that the proposed method can be an alternate approach to social network generators with node attributes and communities.

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Deon, Aleksei F., Oleg K. Karaduta, and Yulian A. Menyaev. "Phase Congruential White Noise Generator." Algorithms 14, no. 4 (April 5, 2021): 118. http://dx.doi.org/10.3390/a14040118.

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White noise generators can use uniform random sequences as a basis. However, such a technology may lead to deficient results if the original sequences have insufficient uniformity or omissions of random variables. This article offers a new approach for creating a phase signal generator with an improved matrix of autocorrelation coefficients. As a result, the generated signals of the white noise process have absolutely uniform intensities at the eigen Fourier frequencies. The simulation results confirm that the received signals have an adequate approximation of uniform white noise.

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Henrich, Manuel, Felix Pütz, and Sebastian Münstermann. "A Novel Approach to Discrete Representative Volume Element Automation and Generation-DRAGen." Materials 13, no. 8 (April 17, 2020): 1887. http://dx.doi.org/10.3390/ma13081887.

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In this study, a novel approach for generating Representative Volume Elements (RVEs) is introduced. In contrast to common generators, the new RVE generator is based on discrete methods to reconstruct synthetic microstructures, using simple methods and a modular structure. The plain and uncomplicated structure of the generator makes the extension with new features quite simple. It is discussed why certain features are essential for microstructural simulations. The discrete methods are implemented into a python tool. A Random Sequential Addition (RSA)-Algorithm for discrete volumes is developed and the tessellation is realized with a discrete tessellation function. The results show that the generator can successfully reconstruct realistic microstructures with elongated grains and martensite bands from given input data sets.

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Ahmadi, Seyed, and Mehdi Karrari. "A Multiple-Model Approach for Synchronous Generator Nonlinear System Identification." Journal of Electrical Engineering 63, no. 4 (July 1, 2012): 249–54. http://dx.doi.org/10.2478/v10187-012-0035-5.

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A Multiple-Model Approach for Synchronous Generator Nonlinear System Identification In this paper, a multiple model approach is proposed for the identification of synchronous generators. In the literature, the same structure often is used for all local models. Therefore, to obtain a precise model for the operating condition of the synchronous generator with severely nonlinear behavior, many local models are required. The proposed method determines the complexity of local models based on complexity of behavior of the synchronous generator at different operating conditions. There are two choices for increasing model precision at each iteration of the proposed method: (i) increasing the number of local models in one region, or (ii) increasing local model complexity in the same region. The proposed method has been tested on experimental data collected on a 3 kVA micro-machine. In the study, the field voltage is considered as the input and the active output power and the terminal voltage are considered as the outputs of the synchronous generator. The proposed method provides a more precise model with fewer parameters compared to some well known methods such as LOLIMOT and global polynomial models.

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Miyaji, Yutaka, and Ken Tomiyama. "Implementation Approach of Affective Interaction for Caregiver Support Robot." Journal of Robotics and Mechatronics 25, no. 6 (December 20, 2013): 1060–69. http://dx.doi.org/10.20965/jrm.2013.p1060.

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This paper describes a series of our studies for developing functions for robots to better interact with humans, especially in the welfare field. The caregiver support robot is proposed to help caregivers in the welfare field and functions related to realizing affective behavior were studied. We believe such robotmust understand human emotion state, have own virtual emotion state and be able to express emotion in order to behave affectively. The Virtual Kansei (VK) was proposed to answer this set of requirements and various elements of VK were developed. The VK consists of three parts; the Kansei detector, the Kansei generator and the Kansei expressive regulator. The Kansei detector detects human partner’s emotion state using facial images, voice sounds and body movements. The Kansei generator generates human-like virtual emotion for robots. We devised a mimicking approach in developing the generator where emotion distances are defined and are used in learning and evaluating the generator. The Kansei expressive regulator makes the robot behave emotionally in executing everyday tasks. It modulates the basic robot motion according to the generated virtual emotion. This paper focuses on the concept and the relationship of these elements.

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Huang, C. J., C. E. Lin, and C. L. Huang. "Fuzzy approach for generator maintenance scheduling." Electric Power Systems Research 24, no. 1 (July 1992): 31–38. http://dx.doi.org/10.1016/0378-7796(92)90042-y.

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Deon, Aleksei F., and Yulian A. Menyaev. "Poisson Twister Generator by Cumulative Frequency Technology." Algorithms 12, no. 6 (May 28, 2019): 114. http://dx.doi.org/10.3390/a12060114.

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The widely known generators of Poisson random variables are associated with different modifications of the algorithm based on the convergence in probability of a sequence of uniform random variables to the created stochastic number. However, in some situations, this approach yields different discrete Poisson probability distributions and skipping in the generated numbers. This article offers a new approach for creating Poisson random variables based on the complete twister generator of uniform random variables, using cumulative frequency technology. The simulation results confirm that probabilistic and frequency distributions of the obtained stochastic numbers completely coincide with the theoretical Poisson distribution. Moreover, combining this new approach with the tuning algorithm of basic twister generation allows for a significant increase in length of the created sequences without using additional RAM of the computer.

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Gholikhani, Mohammadreza, Seyed Amid Tahami, and Samer Dessouky. "Harvesting Energy from Pavement – Electromagnetic Approach." MATEC Web of Conferences 271 (2019): 06001. http://dx.doi.org/10.1051/matecconf/201927106001.

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Roadway pavements have a great potential to be a renewable energy source. Because they are continuously subjected to solar radiation and kinetic energy from passing vehicles. In this study, a prototype was developed to harvest passing vehicle kinetic energy by using electromagnetic technology. The prototype was fabricated by mechanical components including top plate, racks, pinions, one-way clutches, shafts, compression springs and generator. The prototype uses deflection generated by passing vehicles and converts it to rotations in shaft that triggers an embedded generator. A performance of the prototype in generating electrical power was evaluated with laboratory tests by using UTM and simulating traffic conditions. The output powers were measured by different magnitudes of the loads, times of loading and times of unloading. The experimental results show promising in generating power by the proposed prototype with a maximum average power of 3.21 mWatt.

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Xiao, Xiao, Li Xuan Ye, and Jun Pu. "A Cost-Effective Approach of Hardware Random Number Generator." Applied Mechanics and Materials 602-605 (August 2014): 2803–6. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2803.

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This paper shows the research on hardware random number generator (HRNG). As truly random numbers are strongly required in encryption and computer simulation areas, developing a simple and inexpensive HRNG has significant value. The whole system is divided into the noise generating module and the processing module. After the numbers are generated, a randomness test has been carried out which indicates that the random numbers generated are truly random. It is concluded that the final product of this HRNG meets the requirements of the objectives.

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Wang, Zongtao, and Zhiming Liu. "Unlocking Efficiency in Fine-Grained Compositional Image Synthesis: A Single-Generator Approach." Applied Sciences 13, no. 13 (June 27, 2023): 7587. http://dx.doi.org/10.3390/app13137587.

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The use of Generative Adversarial Networks (GANs) has led to significant advancements in the field of compositional image synthesis. In particular, recent progress has focused on achieving synthesis at the semantic part level. However, to enhance performance at this level, existing approaches in the literature tend to prioritize performance over efficiency, utilizing separate local generators for each semantic part. This approach leads to a linear increase in the number of local generators, posing a fundamental challenge for large-scale compositional image synthesis at the semantic part level. In this paper, we introduce a novel model called Single-Generator Semantic-Style GAN (SSSGAN) to improve efficiency in this context. SSSGAN utilizes a single generator to synthesize all semantic parts, thereby reducing the required number of local generators to a constant value. Our experiments demonstrate that SSSGAN achieves superior efficiency while maintaining a minimal impact on performance.

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Patel, Manish, and H. Raheman. "An Approach for Power Generation with Reduced Fuel Consumption using PTO Driven Generator." Current World Environment 11, no. 2 (August 25, 2016): 544–53. http://dx.doi.org/10.12944/cwe.11.2.24.

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Using the gear up throttle down concept, suitable power take off (PTO) speed required to run a PTO powered generator was decided. For this PTO test was carried out using an eddy current dynamometer. The tractor engine was loaded to different torque values at different engine speeds for obtaining constant PTO power corresponding to the full load of the generator. Fuel consumption, smoke level, exhaust gas temperature and coolant temperature were measured during PTO test. Engine speed fluctuation and engine overloading were also observed to judge whether the engine was running smoothly, or it was overloaded. The specific fuel consumption was reduced from 268.9 g/kW h at 1579 rpm to 242.9 g/kW h at 1000 rpm. Considering the engine speed fluctuation, overloading of the engine, rapid rise of smoke level, exhaust gas temperature and coolant temperature, an engine speed of 1215 rpm was recommended instead of 1579 rpm (corresponding to standard PTO speed of 540 rpm). A suitable power transmission system comprising belt and pulley drive was designed to run the generator at rated speed of 1500 rpm. When the generator was operated at reduced PTO speed of 415 rpm (corresponding to engine speed of 1215 rpm) in comparison to standard PTO speed of 540 rpm, fuel saving of 0.35 l/h to 0.55 l/h and 0.43 l/h to 0.48 l/h was achieved at different alternating current (AC) and direct current (DC) loads on the generator, respectively. Following this approach, a considerable amount of fuel energy could be saved while generating electric power using tractor. Efficient use of fuel will reduce the overall production cost of agricultural products as well as help in protecting our environment.

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Robbins, Blaine G. "Measuring particularized trust: A name generator approach." Social Networks 72 (January 2023): 121–38. http://dx.doi.org/10.1016/j.socnet.2022.09.007.

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Mottaeva, Angela B., Irina A. Smirnova, Evgeny A. Konnikov, and Elena E. Sharafanova. "FUZZY-SET APPROACH TO ASSESSING TRANSREGIONAL INDUSTRIAL COHERENCE." SOFT MEASUREMENTS AND COMPUTING 3, no. 76 (2024): 35–44. http://dx.doi.org/10.36871/2618-9976.2024.03.003.

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Within the scope of the research, the model is being developed to assess the economic effect of transregional industrial coherence at the current level of transport infrastructure development. The study constitutes a part of the analytical modeling of the cycle for increasing the level of sustainable development in regions, the enterprises of which are included in the target transregional industrial cluster. The resulting parameter of influence is the real impulse, integrally expressed by intermediate impulse flows, formed by subject-generators and reinforced by subject-catalysts in the environment. The general conceptual basis for modeling is the effect of incrementing the subject connections of the industrial cluster in the content of the array of influence factor vectors of the cluster – transregional industrial coherence, which is determined by the synergy of environmental characteristics and is manifested by the access of system impulses and their generators in such a way that the significance of the impulse for the environment may greatly exceed the significance of the generator; however, the reduction in the weight of generator parameters entails a value equalization of the impulse. This stage of modeling directly shapes the assessment of transregional industrial coherence through the application of the tools and logic of fuzzy-set modeling.

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Li, Zhi Min, Xin Yang Deng, Xiao Ming Mou, Shuang Rong, Tian Kui Sun, and Zi Nan Peng. "Decentralized Robust Coordinated Controller of Excitation and Valve for Improvement of Power System Stability." Applied Mechanics and Materials 668-669 (October 2014): 462–65. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.462.

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A novel robust control scheme for decentralized generator excitation and valve coordinated control systems to improve power system stability is proposed. By utilizing generator terminal voltage magnitude and phase angle to represent the interactions among generators, decentralized generator excitation and valve coordinated control in multi-machine power systems is achieved. The control is realized by robust parametric approach. Simulation results show that the proposed robust parametric coordinated control can improve power system stability.

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Doraghi, Qusay, and Hussam Jouhara. "Thermoelectric generator efficiency: An experimental and computational approach to analysing thermoelectric generator performance." Thermal Science and Engineering Progress 55 (October 2024): 102884. http://dx.doi.org/10.1016/j.tsep.2024.102884.

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Uyanık, Tayfun, Nur Najihah Abu Bakar, Özcan Kalenderli, Yasin Arslanoğlu, Josep M. Guerrero, and Abderezak Lashab. "A Data-Driven Approach for Generator Load Prediction in Shipboard Microgrid: The Chemical Tanker Case Study." Energies 16, no. 13 (June 30, 2023): 5092. http://dx.doi.org/10.3390/en16135092.

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Energy efficiency and operational safety practices on ships have gained more importance due to the rules set by the International Maritime Organization in recent years. While approximately 70% of the fuel consumed on a commercial ship is utilized for the propulsion load, a significant portion of the remaining fuel is consumed by the auxiliary generators responsible for the ship’s onboard load. It is crucial to comprehend the impact of the electrical load on the ship’s generators, as it significantly assists maritime operators in strategic energy planning to minimize the chance of unexpected electrical breakdowns during operation. However, an appropriate handling mechanism is required when there are massive datasets and varied input data involved. Thus, this study implements data-driven approaches to estimate the load of a chemical tanker ship’s generator using a 1000-day real dataset. Two case studies were performed, namely, single load prediction for each generator and total load prediction for all generators. The prediction results show that for the single generator load prediction of DG1, DG2, and DG3, the decision tree model encountered the least errors for MAE (0.2364, 0.1306, and 0.1532), RMSE (0.2455, 0.2069, and 0.2182), and MAPE (17.493, 5.1139, and 7.7481). In contrast, the deep neural network outperforms all other prediction models in the case of total generation prediction, with values of 1.0866, 2.6049, and 14.728 for MAE, RMSE, and MAPE, respectively.

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Dao, Fang, Yun Zeng, Yidong Zou, Xiang Li, and Jing Qian. "Acoustic Vibration Approach for Detecting Faults in Hydroelectric Units: A Review." Energies 14, no. 23 (November 23, 2021): 7840. http://dx.doi.org/10.3390/en14237840.

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The health of the hydroelectric generator determines the safe, stable, and reliable operation of the hydropower station. In order to keep the hydroelectric generator in a better state of health and avoid accidents, it is crucial to detect its faults. In recent years, fault detection methods based on sound and vibration signals have gradually become research hotspots due to their high sensitivity, achievable continuous dynamic monitoring, and easy adaptation to complex environments. Therefore, this paper is a supplement to the existing state monitoring and fault diagnosis system of the hydroelectric generator; it divides the hydroelectric generator into two significant parts: hydro-generator and hydro-turbine, and summarizes the research and application of fault detect technology based on sound signal vibration in hydroelectric generator and introduces some new technology developments in recent years, and puts forward the existing problems in the current research and future development directions, and it is expected to provides some reference for the research on fault diagnosis of the hydroelectric generator.

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Isamiddin, Siddikov, and Umurzakova Dilnoza. "Integrated application of synergetic approach for enhancing intelligent steam generator control systems." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (April 1, 2024): 1508. http://dx.doi.org/10.11591/ijece.v14i2.pp1508-1518.

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This article focuses on the integrated application of the synergetic approach to enhance the quality of intelligent steam generator control systems.By combining various techniques such as model-based control, adaptive control, and artificial intelligence, an efficient and flexible control system can be developed. Model-based control utilizes mathematical models of steam generators to formulate control algorithms and predict system behavior. Adaptive control enables the system to adapt to changing conditions by adjusting control parameters based on real-time measurements. Artificial intelligence techniques, including neural networks and genetic algorithms, facilitate learning, optimization, and data-driven decision-making processes. The objectives of this research are to investigate the benefits of the synergetic approach in steam generator control, including improved steam generation efficiency, optimized energy consumption, enhanced system stability and reliability, and adaptability to varying operating conditions and disturbances. The findings and conclusions of this study are expected to provide valuable insights for engineers, researchers, and professionals involved in the design and implementation of intelligent steam generator control systems. By integrating the synergetic approach, substantial enhancements in control quality can be achieved, leading to optimal operation and maximum efficiency of power plants.

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Yin, Haiyan, Dingcheng Li, Xu Li, and Ping Li. "Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 9466–73. http://dx.doi.org/10.1609/aaai.v34i05.6490.

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Training generative models that can generate high-quality text with sufficient diversity is an important open problem for Natural Language Generation (NLG) community. Recently, generative adversarial models have been applied extensively on text generation tasks, where the adversarially trained generators alleviate the exposure bias experienced by conventional maximum likelihood approaches and result in promising generation quality. However, due to the notorious defect of mode collapse for adversarial training, the adversarially trained generators face a quality-diversity trade-off, i.e., the generator models tend to sacrifice generation diversity severely for increasing generation quality. In this paper, we propose a novel approach which aims to improve the performance of adversarial text generation via efficiently decelerating mode collapse of the adversarial training. To this end, we introduce a cooperative training paradigm, where a language model is cooperatively trained with the generator and we utilize the language model to efficiently shape the data distribution of the generator against mode collapse. Moreover, instead of engaging the cooperative update for the generator in a principled way, we formulate a meta learning mechanism, where the cooperative update to the generator serves as a high level meta task, with an intuition of ensuring the parameters of the generator after the adversarial update would stay resistant against mode collapse. In the experiment, we demonstrate our proposed approach can efficiently slow down the pace of mode collapse for the adversarial text generators. Overall, our proposed method is able to outperform the baseline approaches with significant margins in terms of both generation quality and diversity in the testified domains.

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Vijayalakshmi, Subramanian, Velappa Ganapathy, Chandrasekar Anuradha, Raghavan Chandran Ilambirai, and Viswanathan Ganesh. "Intelligent approach on sensorless control of permanent magnet synchronous generator." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 3 (September 1, 2022): 1770. http://dx.doi.org/10.11591/ijpeds.v13.i3.pp1770-1778.

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In this paper, a standalone permanent magnet synchronous generator (PMSG) system is designed to generate power at maximum power point (MPP). The variable speed operation of wind energy conversion system consists of PMSG, controlled rectifier and voltage source inverter co to the load. Proportional integral (PI), sliding mode (SM), and feed forward neural network (FFNN) control strategies are applied in field oriented control (FOC) at generator side converter. A comparative study on power generated at maximum power point (MPP) is done with these controllers using simulation. Hill climb search (HCS) method is applied to attain MPP. Load side inverter control strategy involves the PI and SM controllers in order to maintain the unity power factor and to control the active and reactive power for nonlinear load. The control strategies are modelled and simulated with MATLAB/Simulink. The effectiveness of proposed control method is demonstrated using simulation results.

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Maksymovych, Volodymyr, Oleh Harasymchuk, Mikolaj Karpinski, Mariia Shabatura, Daniel Jancarczyk, and Krzysztof Kajstura. "A New Approach to the Development of Additive Fibonacci Generators Based on Prime Numbers." Electronics 10, no. 23 (November 24, 2021): 2912. http://dx.doi.org/10.3390/electronics10232912.

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Pseudorandom number and bit sequence generators are widely used in cybersecurity, measurement, and other technology fields. A special place among such generators is occupied by additive Fibonacci generators (AFG). By itself, such a generator is not cryptographically strong. Nevertheless, when used as a primary it can be quite resistant to cryptanalysis generators. This paper proposes a modification to AGF, the essence of which is to use prime numbers as modules of recurrent equations describing the operation of generators. This modification made it possible to ensure the constancy of the repetition period of the output pseudorandom pulse sequence in the entire range of possible values of the initial settings–keys (seed) at specific values of the module. In addition, it has proposed a new generator scheme, which consists of two generators: the first of which is based on a modified AFG and the second is based on a linear feedback shift register (LFSR). The output pulses of both generators are combined through a logic element XOR. The results of the experiment show that the specific values of modules provide a constant repetition period of the output pseudorandom pulse sequence in a whole range of possible values of the initial settings–keys (seed) and provide all the requirements of the NIST test to statistical characteristics of the sequence. Modified AFGs are designed primarily for hardware implementation, which allows them to provide high performance.

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Deon, A. F., D. D. Dmitriev, and Yu A. Menyaev. "Twister Generator of Poisson Random Numbers with the Use of Cumulative Frequency Technology." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 1 (130) (February 2020): 101–23. http://dx.doi.org/10.18698/0236-3933-2020-1-101-123.

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The widely known generators of Poisson random variables are associated with different modifications of the algorithm based on the convergence in probability of a sequence of uniform random variables to the created stochastic number. However, in some situations, this approach yields different discrete Poisson probability distributions and skipping in the generated numbers. This paper offers a new approach for creating Poisson random variables based on the complete twister generator of uniform random variables, using cumulative frequency technology. The simulation results confirm that probabilistic and frequency distributions of the obtained stochastic numbers completely coincide with the theoretical Poisson distribution. Moreover, combining this new approach with the tuning algorithm of basic twister generation allows for a significant increase in length of the created sequences without using additional RAM of the computer

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Zheng, Hui-Fan, Shu-Qing Guo, Yin-Long Chen, and Cong-Min Wang. "Numerical approach to solar ejector-compression refrigeration system." Thermal Science 20, no. 3 (2016): 949–52. http://dx.doi.org/10.2298/tsci1603949z.

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A model was established for solar ejector-compression refrigeration system. The influence of generator temperature, middle-temperature, and evaporator temperature on the performance of the refrigerant system was analyzed. An optimal generator temperature is found for maximal energy efficiency ratio and minimal power consumption.

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Wang, Sheng Hung, Lee Long Han, and Tsing Tshih Tsung. "Dynamic Pressure Calibration of Pressure Sensors Using Liquid Step Pressure Generator." Key Engineering Materials 437 (May 2010): 8–12. http://dx.doi.org/10.4028/www.scientific.net/kem.437.8.

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. This study presents the dynamic calibration of pressure sensors using a developed liquid step wave generator. This approach is sufficient to display the transient response of pressure sensors in the time and frequency domains and it depends on the performance of pressure generators. In this study, the liquid step wave generator was developed via a reformed spool valve generating a liquid step wave with a short rise time that current generators have not achieved so far. A small sensing cavity, where maintains the liquid step wave, and a contact seal were adopted herein to limit the pressure transient of the fluid in the generator, such that the rise time and the bandwidth of the liquid step wave can reach 30.0 µs and 10.4 kHz. The experimental results not only display the performance of the liquid step wave generator, but also reveal the dynamic characteristics of three different test pressure sensors using the developed liquid step wave generator.

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Stanica, Pantelimon, Vikram Kanth, and Thor Martinsen. "The Self-Shrinking Conflation Generator: A Proposed Improvement to the Self-Shrinking Generator." European Journal of Pure and Applied Mathematics 15, no. 4 (October 31, 2022): 1426–43. http://dx.doi.org/10.29020/nybg.ejpam.v15i4.4504.

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The backbone of many cybersecurity applications and algorithms require random numbers. One of the most commonly used pseudo-random number generators is the Linear Feedback Shift Register (LFSR), which is fast, computationally inexpensive, and has excellent statistical properties. Unfortunately LFSRs have a number of weaknesses, some of which were addressed by decimation-based sequence generators such as the self-shrinking generator (SSG). Regrettably, the SSG was also found to be vulnerable to attack. In this paper, we propose an improvement to the SSG called the self-shrinking conflation generator (SSCG). Our approach is based on the observation that what is discarded during the self-shrinking process of the SSG, is from a cryptographic perspective, just as good as that which is kept. By combining the bits the SSG would normally discard with those it retains, using the exclusive OR (XOR) operation, we create a modified SSG bitstream with several improved characteristics. To highlight these improvements, we provide some mathematical security analysis associated with this approach, apply the NIST statistical test suite to several different bitstreams created using LFSRs driven by different degree primitive polynomials, and compare our results to that of the SSG.

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Dimitrov, Vladimir. "CAPEC ontology generator." Annual of Sofia University St. Kliment Ohridski. Faculty of Mathematics and Informatics 111 (December 4, 2024): 25–33. https://doi.org/10.60063/gsu.fmi.111.25-33.

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CAPEC is an effort coordinated by MITRE Corporation. Its aim is attack pattern database structured in taxonomies. CAPEC is available as XML document from its project site. CAPEC structure and content are under permanent change and development. It is still not mature database but may be never will.CAPEC, CWE, and CVE are databases devoted to attacks, weaknesses, and vulnerabilities. They refer each other forming a knowledge ecosystem in cybersecurity area.Traditional approach for knowledge presentation as information does not work well with conceptualizations under dynamics of this ecosystem and particularly of CAPEC. In this paper, an alternative approach to CAPEC knowledge presentation is proposed, as ontology. First, CAPEC structure and content are discussed and then ontology structure is introduced. CAPEC as ontology opens doors to ``open world'' concept that is more adequate to ecosystem dynamics.CAPEC ontology is programmatically generated from CAPEC database.CAPEC ontology generator in implemented in Python.

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Gilbert, Chris, and Mercy Abiola Gilbert. "Evaluation of the Efficiency of Advanced Number Generators in Cryptographic Systems using a Comparative Approach." International Journal of Scientific Research and Modern Technology (IJSRMT) 3, no. 11 (November 21, 2024): 79–88. http://dx.doi.org/10.38124/ijsrmt.v3i11.77.

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This study explores the effectiveness and security impact of two pseudorandom number generators (PRNGs): the Fibonacci Random Number Generator (FRNG) and the Gaussian Random Number Generator (GRNG) in cryptographic systems. By applying statistical tests, the research aims to determine which of these generators provides a more robust level of randomness, thus boosting the security of cryptographic applications. The approach involves generating sequences of random integers using Java implementations of both FRNG and GRNG, followed by an analysis with the Chi-Square Test and Kolmogorov-Smirnov Test. Results show that the Gaussian PRNG produces numbers that align more consistently with a uniform distribution, while the Fibonacci PRNG shows notable irregularities. This points to the need for rigorous testing of RNGs to uphold security and reliability in cryptographic systems. The study’s outcomes carry important implications for choosing cryptographic algorithms, emphasizing the crucial role of high-quality RNGs in safeguarding data confidentiality, integrity, and authenticity.

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Porubän, Jaroslav, Michal Forgác, Miroslav Sabo, and Marek Běhálek. "Annotation based parser generator." Computer Science and Information Systems 7, no. 2 (2010): 291–307. http://dx.doi.org/10.2298/csis1002291p.

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The paper presents innovative parser construction method and parser generator prototype which generates a computer language parser directly from a set of annotated classes in contrast to standard parser generators which specify concrete syntax of a computer language using BNF notation. A language with textual concrete syntax is defined upon the abstract syntax definition extended with annotations in the presented approach. Annotations define instances of concrete syntax patterns in a language. Abstract syntax of a language is inevitable input of the parser generator as well as language's concrete syntax pattern definitions. The process of parser implementation is presented on the concrete computer language - the Simple Arithmetic Language. The paper summarizes results of the studies of implemented parser generator and describes its role in the university courses.

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Egor, Gavrilov, Schneider Sven, Dennemark Martin, and Koenig Reinhard. "Computer-aided approach to public buildings floor plan generation. Magnetizing Floor Plan Generator." Procedia Manufacturing 44 (2020): 132–39. http://dx.doi.org/10.1016/j.promfg.2020.02.214.

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Chen, Wei-Hsin, Yi-Xian Lin, Yi-Bin Chiou, Yu-Li Lin, and Xiao-Dong Wang. "A computational fluid dynamics (CFD) approach of thermoelectric generator (TEG) for power generation." Applied Thermal Engineering 173 (June 2020): 115203. http://dx.doi.org/10.1016/j.applthermaleng.2020.115203.

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Bousmaha, Kheira Z., Nour H. Chergui, Mahfoud Sid Ali Mbarek, and Lamia Belguith Hadrich. "AQG: Arabic Question Generator." Revue d'Intelligence Artificielle 34, no. 6 (December 31, 2020): 721–29. http://dx.doi.org/10.18280/ria.340606.

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The Arabic natural language process (ANLP) community does not have an automatic generator of questions for texts in the Arabic language. Our objective is to provide it one. This paper presents a novel automatic question generation approach that generates questions as a form of support for children learning through the platform QUIZZITO. Our approach combines the semantic role labelling of PropBank (SRL) and the flexibility of question models. It essentially relates to an approach of instantiation model of representation based on an analysis focused on the semantics. This allowed us to capture the maximum sense of sentence given the flexibility of the grammar of the Arabic language. This model was written in a set of Patterns and Templates based on the REGEX languages. Our goal is to enrich Quizzito's online quiz platform, which contains more than 254.5k quizzes, and to provide it with a generator of Arabic language questions for children's texts. Our Arabic Question Generator system (AQG) is functional and reaches up to 86% f-measure.

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Khallat, M. A., and Saifur Rahman. "A Probabilistic Approach to Photovoltaic Generator Performance Prediction." IEEE Transactions on Energy Conversion EC-1, no. 3 (September 1986): 34–40. http://dx.doi.org/10.1109/tec.1986.4765731.

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Khallat, M. A., and Saifur Rahman. "A Probabilistic Approach to Photovoltaic Generator Performance Prediction." IEEE Power Engineering Review PER-6, no. 9 (September 1986): 24. http://dx.doi.org/10.1109/mper.1986.5527650.

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Mohamed, Azah, Aini Hussain, Samila Mat Zali, and Aznan Ariffin. "A Systematic Approach in Estimating the Generator Parameters." Electric Power Components and Systems 30, no. 3 (March 2002): 301–13. http://dx.doi.org/10.1080/153250002753598492.

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Avdakovic, Samir, Elvisa Becirovic, Amir Nuhanovic, and Mirza Kusljugic. "Generator Coherency Using the Wavelet Phase Difference Approach." IEEE Transactions on Power Systems 29, no. 1 (January 2014): 271–78. http://dx.doi.org/10.1109/tpwrs.2013.2279881.

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Swarup, K. S., and S. Yamashiro. "A genetic algorithm approach to generator unit commitment." International Journal of Electrical Power & Energy Systems 25, no. 9 (November 2003): 679–87. http://dx.doi.org/10.1016/s0142-0615(03)00003-6.

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Journal articles on the topic 'Generator approach'

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