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Articles 1561 - 1590 of 302419

Full-Text Articles in Physical Sciences and Mathematics

Riesz Particle Markov Chain Monte Carlo Methods, Xiongming Dai Jul 2024

Riesz Particle Markov Chain Monte Carlo Methods, Xiongming Dai

LSU Doctoral Dissertations

Markov chain Monte Carlo (MCMC) methods are simulations that explore complex statistical distributions, while bypassing the cumbersome requirement of a specific analytical expression for the target. This stochastic exploration of an uncertain parameter space comes at the expense of a large number of ``burn-in'' samples, and the computational complexity leads to the curse of dimensionality. Although at the exploration level, some methods have been proposed to accelerate the convergence of the algorithm, such as tempering, Hamiltonian Monte Carlo, Rao-redwellization, and scalable methods for better performance, they cannot avoid the stochastic nature of this exploration. We develop algorithms for the energy …

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Hierarchical Search Method For Gravitational Waves From Stellar-Mass Binary Black Holes In Noisy Space-Based Detector Data, Yao Fu, Yan Wang, Soumya D. Mohanty Jul 2024

Hierarchical Search Method For Gravitational Waves From Stellar-Mass Binary Black Holes In Noisy Space-Based Detector Data, Yao Fu, Yan Wang, Soumya D. Mohanty

Physics and Astronomy Faculty Publications and Presentations

Future space-based laser interferometric detectors, such as LISA, will be able to detect gravitational waves (GWs) generated during the inspiral phase of stellar-mass binary black holes (SmBBHs). These detections contain a wealth of important information concerning astrophysical formation channels and fundamental physics constraints. However, the detection and characterization of GWs from SmBBHs poses a formidable data analysis challenge, arising from the large number of wave cycles that make the search extremely sensitive to mismatches in signal and template parameters in a likelihood-based approach. This makes the search for the maximum of the likelihood function over the signal parameter space an …

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Analysis Of The Potential For Enhancing The Efficiency Of A Floating Photovoltaic (Fpv) System, How-Ping Wu, Ching-Yi Tseng, Chuan-Chung Jen, Yuan-Ching Chiang, Sih-Li Chen Jul 2024

Analysis Of The Potential For Enhancing The Efficiency Of A Floating Photovoltaic (Fpv) System, How-Ping Wu, Ching-Yi Tseng, Chuan-Chung Jen, Yuan-Ching Chiang, Sih-Li Chen

Journal of Marine Science and Technology

This study examined the power generation capabilities of FPV systems and the advantages of employing active cooling on floating solar panels. Floating solar panels exhibit improved efficiency due to operating at lower temperatures facilitated by the cooling effect of water evaporation. Additionally, the high availability of water renders the application of the active cooling technique economically viable. This study developed a comprehensive simulation of a floating solar system, integrating a mathematical model to validate experimental findings and a temperature model derived from an energy equation specific to floating solar panels. This model calculates the heat transfer among the three different …

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Using Gamification To Enhance Mastery Of Network Security Concepts, Kevin Hilliard, Xiaohong Yuan, Kelvin Bryant, Jinsheng Xu, Jinghua Zhang Jul 2024

Using Gamification To Enhance Mastery Of Network Security Concepts, Kevin Hilliard, Xiaohong Yuan, Kelvin Bryant, Jinsheng Xu, Jinghua Zhang

Journal of Cybersecurity Education, Research and Practice

Gamification has proven to be effective in engaging and encouraging people to work towards and achieve goals. Many students struggle to focus on schoolwork, due to a lack of interest, lack of understanding, or other factors unique to the student. Applying gamification elements to education can help engage these students in learning their course material and help them excel academically. This study examines the effectiveness of using gamification techniques to enhance the learning experience in college Computer Science courses. A video game application is utilized to review and reinforce cybersecurity concepts that students have already been taught in class. Previous …

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Collaborative Pathways To Cybersecurity Excellence: Insights From Industry And Academia In The Southeastern Us, Humayun Zafar, Carole L. Hollingsworth, Tridib Bandyopadhyay, Adriane B. Randolph Jul 2024

Collaborative Pathways To Cybersecurity Excellence: Insights From Industry And Academia In The Southeastern Us, Humayun Zafar, Carole L. Hollingsworth, Tridib Bandyopadhyay, Adriane B. Randolph

Journal of Cybersecurity Education, Research and Practice

This research article examines conversations happening between cybersecurity academics and industry leaders with a goal to improve the development of cybersecurity professionals. We specifically focus on efforts in the Southeast region of the United States. The discussion features insights from a panel consisting of an academic cybersecurity researcher, a Chief Information Officer (CIO) of a leading technology company with over 1,000 employees, and a CIO of a financial services firm, which employs over 3,000 people. The discussion sheds light on the challenges and opportunities involved in aligning cybersecurity programs with industry requirements. This article explores strategies for academia and businesses …

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Knowledge-Grounded Natural Language Understanding Of Biomedical And Clinical Literature, Xindi Wang Jul 2024

Knowledge-Grounded Natural Language Understanding Of Biomedical And Clinical Literature, Xindi Wang

Electronic Thesis and Dissertation Repository

Natural Language Understanding (NLU) resides at the intersection of artificial intelligence, linguistics, and computer science, with the goal of empowering machines to comprehend and interpret human languages in a way that is both significant and contextually pertinent. The intrinsic complexity of human language, marked by its subtleties, cultural variances, and dependence on context, poses a significant challenge to NLU. The real world is a vast repository of knowledge that encompasses not only facts but also complex relationships, dynamic concepts, and cultural subtleties. This external knowledge represents the context that is often implicitly assumed in human communication. For machines to fully …

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Effects Of Two Grazing Conditions On The Reproductive Achievement Of Male Alpaca In The Northern Peru Grasslands, C Pinares, E Malpartida, S Cortez Jul 2024

Effects Of Two Grazing Conditions On The Reproductive Achievement Of Male Alpaca In The Northern Peru Grasslands, C Pinares, E Malpartida, S Cortez

IGC Proceedings (1993-2023)

Alpaca have recently been introduced to the northern Peru grasslands (Jalca). Effects of two systems of grazing management, co-grazing (with sheep) under fair grassland condition (CGFC) versus exclusive grazing under good grassland condition (EGGC), upon the reproductive achievement was examined from the 6th to the 16th month of age. Each system involved 20 Huacaya animals, managed by individual herders. Availability of herbage preferred by alpaca (HMA) and animal measurements (herbage intake, liveweight, testicle size, penis release from preputial attachments, plasma testosterone) were monitored monthly. Puberty, judged by the penis release from the preputial attachments, was achieved by 7 …

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Experiences Of Eight Ohio Beef And Sheep Producers With Year Round Grazing, H M. Bartholomew, S L. Boyles, B Carter, E Vollborn, D Miller, R M. Sulc Jul 2024

Experiences Of Eight Ohio Beef And Sheep Producers With Year Round Grazing, H M. Bartholomew, S L. Boyles, B Carter, E Vollborn, D Miller, R M. Sulc

IGC Proceedings (1993-2023)

Livestock producers participated in a demonstration project to extend the grazing season and evaluate dormant forage quality and yield. Differences were not detected in yields among forage species but yield differences existed among sites. Yield estimates did not change over time across all forage species but some sites were only able to participate for two months. Producers utilizing fescue beyond November had reductions in herbage mass. Crude protein, available crude protein, acid detergent fiber, and neutral detergent fiber content differed among forage species and sites. Energy and lignin content were similar for all forage species and sites. Sodium and copper …

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Forage Production Of Irrigated Lecerne- Grass Mixtures Grazed By Sheep, M L. Enrique, D P. Minon Jul 2024

Forage Production Of Irrigated Lecerne- Grass Mixtures Grazed By Sheep, M L. Enrique, D P. Minon

IGC Proceedings (1993-2023)

The forage production and botanical changes of lucerne cultivars in pure stands and in grass mixtures were studied in a split-plot experiment with irrigation and sheep grazing. The non dormant lucerne cultivars (Medicago sativa) CUF 101, Monarca SPINTA, P 30 and common were the main plots, and tall fescue (Festuca arundinacea), canarygrass (Phalaris aquatica), cocksfoot (Dactylis glomerata), tall wheatgrass (Thynopirum ponticum) and prairie grass (Bromus catharticus) were the subplots. The experiment was grazed 3, 6 and 4 times during 3 years. Total yield was similar for all lucerne …

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Oat Grazing: Forage Composition And Supplementation Response, A J. Freddi, M J. Arzadun, A A. Pissani, P Sastre Jul 2024

Oat Grazing: Forage Composition And Supplementation Response, A J. Freddi, M J. Arzadun, A A. Pissani, P Sastre

IGC Proceedings (1993-2023)

Oat forage (Avena sativa), which has low soluble carbohydrates (SC) and high soluble protein (SP) content, can reduce liveweight gain of grazing animals; supplementation with grain and low degradability protein may serve to counteract the effect. A grazing trial was carried out on two soils with different nitrogen (NO3 -) availability, from 16 April 1994 to 6 September 1994. Steers were randomly allocated to 3 treatments: low nitrogen (LN), high nitrogen (HN) and high nitrogen with supplementation (HNS). Forage of LN showed lower SP (p<0.05) during the first month of grazing, and higher SC (p<0.05), than HN during the first two months of the trial. Animal liveweight gain was: 892, 909 and 775 g/an/day for LN, HNS and HN, respectively, with animals in HN of significantly lower liveweight gain (p<0.05). Under the conditions of this trial, animals grazing on oat forage with lower SC and higher SP had lower liveweight gain and responded to supplementation.

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Native And Introduced Forage Systems For Cow-Calf Production, S W. Coleman, W A. Phillips, J D. Volesky Jul 2024

Native And Introduced Forage Systems For Cow-Calf Production, S W. Coleman, W A. Phillips, J D. Volesky

IGC Proceedings (1993-2023)

The objectives of this study was to compare a highly productive introduced warm-season perennial grass to native range for cowcalf production over two years. Three systems, 1) native range with pelleted soybean or cottonseed meal as winter protein supplement (NC); 2) native range with wheat pasture (NW); and 3) Plains Bluestem with wheat pasture (PB) were compared. Protein supplements were given twice weekly and cows grazing wheat pasture were allowed 6 hrs to graze. Cows on NW were heavier with higher condition at breeding in the spring of 1994 than those on NC and cows on PB were heavier and …

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Rotational Stocking And Soil Nutrient Distribution On Hawaiian Grasslands, B W. Mathews, J P. Tritschler, L E. Sollenberger Jul 2024

Rotational Stocking And Soil Nutrient Distribution On Hawaiian Grasslands, B W. Mathews, J P. Tritschler, L E. Sollenberger

IGC Proceedings (1993-2023)

A naturalized kikuyu (Pennisetum clandestinum Hochst. ex Chiov.) grassland was grazed by heifers (Bos taurus) for 2 years to determine the effects of two rotational stocking methods (short vs. long grazing periods) on soil N, P, K, Ca, Mg, and S distribution in paddocks with natural shade. Additionally, kikuyugrass-greenleaf desmodium (Desmodium intortum Urb.) paddocks were used to evaluate soil nutrient distribution in rotationally stocked paddocks (long grazing periods) without shade. In the study with shade, soil N, P, and K distribution did not differ between stocking methods. These nutrients accumulated within 15 m of shade, but did not …

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Relationship Between Height And Sward Quality In Rotational Dairy Systems, M R. Mosquera-Losada, A Gonzalez-Rodriguez Jul 2024

Relationship Between Height And Sward Quality In Rotational Dairy Systems, M R. Mosquera-Losada, A Gonzalez-Rodriguez

IGC Proceedings (1993-2023)

Height is a good guide for management in dairy systems.Intake by dairy cows depends on amount offered and quality of pasture and for this reason a relationship between that offered and pasture quality with height should be studied. The experiment was conducted in NW of Spain with three different stocking rates in dairy systems. A lower quality sward was found in the taller offered pasture as indicated by its higher ADF and lower CP percentages. Total sward ADF (kg x ha-a) was higher in taller offered pasture, which indicated a lower pasture quality, however the total CP was positively related …

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Non-Destructive Methods For The Estimation Of Sward Production, M R. Mosquera-Losada, A Gonzalez-Rodriguez Jul 2024

Non-Destructive Methods For The Estimation Of Sward Production, M R. Mosquera-Losada, A Gonzalez-Rodriguez

IGC Proceedings (1993-2023)

Two non- destructive methods of grass production were compared: grassmeter and sward stick, in order to find an equation for transforming one into the other in dairy rotational systems. Linear, logarithmic and quadratic equations were fitted to the data. Linear equation was preferred by simplicity. General equations which included all the year periods showed no differences between sward stick and grassmeter. A detailed study of the different phenology states showed lower heights with grassmeter than with the sward stick method, which should take into account grazing management height recommendations.

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Kinetic Characterization And Identification Of Key Active Site Residues Of The L-Aspartate N-Hydroxylase, Cree, Sydney B. Johnson, Hannah Valentino, Pablo Sobrado Jul 2024

Kinetic Characterization And Identification Of Key Active Site Residues Of The L-Aspartate N-Hydroxylase, Cree, Sydney B. Johnson, Hannah Valentino, Pablo Sobrado

Chemistry Faculty Research & Creative Works

CreE is a flavin-dependent monooxygenase (FMO) that catalyzes three sequential nitrogen oxidation reactions of L-aspartate to produce nitrosuccinate, contributing to the biosynthesis of the antimicrobial and antiproliferative nautral product, cremeomycin. This compound contains a highly reactive diazo functional group for which the reaction of CreE is essential to its formation. Nitro and diazo functional groups can serve as potent electrophiles, important in some challenging nucleophilic addition reactions. Formation of these reactive groups positions CreE as a promising candidate for biomedical and synthetic applications. Here, we present the catalytic mechanism of CreE and the identification of active site residues critical to …

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Oregon State Rank Assessment For Midget Quillwort (Isoetes Minima), Lindsey K. Wise Jul 2024

Oregon State Rank Assessment For Midget Quillwort (Isoetes Minima), Lindsey K. Wise

Institute for Natural Resources Publications

Oregon state conservation status assessment for midget quillwort (Isoetes minima) using NatureServe methodology, 2024.

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Kinetic Characterization And Identification Of Key Active Site Residues Of The L-Aspartate N-Hydroxylase, Cree, Sydney B. Johnson, Hannah Valentino, Pablo Sobrado Jul 2024

Kinetic Characterization And Identification Of Key Active Site Residues Of The L-Aspartate N-Hydroxylase, Cree, Sydney B. Johnson, Hannah Valentino, Pablo Sobrado

Chemistry Faculty Research & Creative Works

CreE is a flavin-dependent monooxygenase (FMO) that catalyzes three sequential nitrogen oxidation reactions of L-aspartate to produce nitrosuccinate, contributing to the biosynthesis of the antimicrobial and antiproliferative natural product, cremeomycin. This compound contains a highly reactive diazo functional group for which the reaction of CreE is essential to its formation. Nitro and diazo functional groups can serve as potent electrophiles, important in some challenging nucleophilic addition reactions. Formation of these reactive groups positions CreE as a promising candidate for biomedical and synthetic applications. Here, we present the catalytic mechanism of CreE and the identification of active site residues critical to …

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Final 2024 Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) Annual Update (Non-Residential Parcels And Residential Daycares), Pioneer Technical Services, Inc. Jul 2024

Final 2024 Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) Annual Update (Non-Residential Parcels And Residential Daycares), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Digital Twin Modeling And Control Of Robots For Intelligent Manufacturing Scenarios, Ying Li, Lan Gao, Zhisong Zhu Jul 2024

Digital Twin Modeling And Control Of Robots For Intelligent Manufacturing Scenarios, Ying Li, Lan Gao, Zhisong Zhu

Journal of System Simulation

Abstract: The introduction of Industry 4.0 and the Made in China 2025 development policy has accelerated the transformation of the manufacturing industry from automation to intelligence. Industrial robots, as the representative equipment of intelligent manufacturing, will also become more intelligent. Based on digital twin technology, digital modeling, and simulation debugging are conducted for such problems as interference and collision, tedious operation, and low efficiency of industrial robot spot welding debugging in production. Process Simulate from TECNOMATIX software is utilized to digitally model the robot spot welding station and define its motion, and TIA Portal and S7-PLCSIM Advanced are applied to …

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Maglev Ball Control Algorithm Based On Levant Differentiator, Zhenli Zhang, Yongzhuan Wang, Yao Qin, Jie Yang Jul 2024

Maglev Ball Control Algorithm Based On Levant Differentiator, Zhenli Zhang, Yongzhuan Wang, Yao Qin, Jie Yang

Journal of System Simulation

Abstract: To solve the problem of unsatisfactory control effect of permanent magnet electromagnetic hybrid suspension system caused by signal mutation and noise interference, the control method ILevant- PID, the combination of an improved Levant differentiator and PID, is proposed. The proposed method combines the strong adaptability of PID control and the robust characteristic of Levant differentiator on input noise to solve the chattering problem of the system output. The simulated anneal-particle swarm optimization is utilized to solve the constraints of the ILevant-PID controller, such as multiple parameters and strong correlation. The simulation results show that compared with the traditional PID …

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Decision-Making Considering Power Consumption And Preference For New Energy Under Dual-Credit Policy, Fang Li, Tianhao Dong Jul 2024

Decision-Making Considering Power Consumption And Preference For New Energy Under Dual-Credit Policy, Fang Li, Tianhao Dong

Journal of System Simulation

Abstract: To explore the production decision-making problem of the electrification transformation in the domestic automobile industry faced by automobile manufacturers, different decision-making models under two production scenarios are constructed for the secondary supply chain composed of manufacturers and retailers under the background of a dual-credit policy. The electric energy consumption of new energy vehicles and consumers' preference for new energy are introduced. The Stackelberg game is applied to obtain the optimal production decision and income analysis of each member in the supply chain under different decision modes in different production scenarios. The results show that the in-depth implementation of the …

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Adaptive Particle Swarm Optimization Algorithm Based On Trap Label And Lazy Ant, Wei Zhang, Yuefeng Jiang Jul 2024

Adaptive Particle Swarm Optimization Algorithm Based On Trap Label And Lazy Ant, Wei Zhang, Yuefeng Jiang

Journal of System Simulation

Abstract: Many existing strategies for improving particle swarm optimization (PSO) fall short in assisting particles trapped in local optima and experiencing premature convergence to recover optimization performance. In response, an adaptive particle swarm optimization algorithm based on trap label and lazy ant (TLLA-APSO) is proposed. Firstly, the trap label strategy dynamically adjusts particle velocities, enabling the particle swarm to escape from local optima. Secondly, the lazy ant optimization strategy is employed to diversify particle velocity and enhance population diversity. Finally, the inertia cognition strategy introduces historical position into velocity updates, promoting path diversity and particle exploration while effectively mitigating the …

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Path Planning For Mobile Robot Based On Angle Search, Yaru Wang, Dexin Yao, Zengli Liu, Yi Peng Jul 2024

Path Planning For Mobile Robot Based On Angle Search, Yaru Wang, Dexin Yao, Zengli Liu, Yi Peng

Journal of System Simulation

Abstract: The angle search algorithm for angle-controlled robots is proposed to increase the path search speed and optimize the path length. The algorithm effectively finds a path in static surroundings by performing an efficient search in a specific dimensional range based on the position of the robot and the target point. Firstly, search angles are predetermined according to the characteristics of the environment in the grid map. Then, the estimated angle of the robot's surrounding grid is computed. Finally, a new extension point is chosen by comparing the estimated angle to the search angle, demonstrating the usefulness and viability of …

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Real-Time Non-Photorealistic Rendering Method For Black And White Comic Style In Games And Animation, Yan Hu, Lizhe Chen, Hanna Xie, Yuyao Ge, Shun Zhou, Xingquan Cai Jul 2024

Real-Time Non-Photorealistic Rendering Method For Black And White Comic Style In Games And Animation, Yan Hu, Lizhe Chen, Hanna Xie, Yuyao Ge, Shun Zhou, Xingquan Cai

Journal of System Simulation

Abstract: To address the issues of high resource consumption and lengthy workflow in general nonphotorealistic, this paper proposes a real-time non-photorealistic rendering method for black and white comic style in games and animation. A specialized lighting model is designed to highlight the main environmental light and the grayscale grading of diffuse reflection based on the analysis of the lighting model effect. The pre-processing of the scene is achieved by merging the various components of the lighting model. A screen space three-phase edge detection method is proposed to sequentially perform depth edge detection, normal edge detection, and color edge detection on …

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Research On Learnable Wargame Agent Driven By Battle Scheme, Yifeng Sun, Zhi Li, Jiang Wu, Yubin Wang Jul 2024

Research On Learnable Wargame Agent Driven By Battle Scheme, Yifeng Sun, Zhi Li, Jiang Wu, Yubin Wang

Journal of System Simulation

Abstract: To enable the agent to cope with complex battle scenarios and objectives in wargame, a learnable wargame agent architecture driven by a battle scheme is proposed. By analyzing the "attachment characteristics" and "loose coupling characteristics" of the agent to wargame system, the learnable requirements of the agent are obtained. In the design of the agent framework, battle schemes are used to reduce the learning range of the agent. The finite state machine corresponds to the knowledge of the operational phase in the battle scheme, and the decision-making space of the agent is determined according to the framework of the …

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Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu Jul 2024

Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu

Journal of System Simulation

Abstract: Aiming at the global path planning problem of unmanned aerial vehicles (UAVs) in dynamic environments, this paper proposes an improved Harris Hawk optimization algorithm. To address the problem of insufficient search performance in the later stage of the algorithm, an adaptive chaos and core population dynamic partitioning strategy is proposed to improve the searchability of the algorithm in the later stage. The Harris Hawk update formula is modified, and the golden sine strategy is introduced to improve the search efficiency of the algorithm. Then, an adaptive dynamic cloud optimal solution perturbation strategy is integrated to improve the ability of …

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A Deep Fuzzy Classifier Based On Feature Transform And Reconstruction, Rui Yin, Wei Lu, Jianhua Yang Jul 2024

A Deep Fuzzy Classifier Based On Feature Transform And Reconstruction, Rui Yin, Wei Lu, Jianhua Yang

Journal of System Simulation

Abstract: To obtain a classifier with good classification accuracy and interpretability, a deep fuzzy classifier based on feature transform and reconstruction (FR-DFC) is proposed. In FR-DFC, several fuzzy systems (FT_FS) for feature transform and a multi-prototype fuzzy classification system (MPRFD_FS) are stacked together to realize the classification process of the model, based on the hierarchically stacked thought originated from deep learning. Specifically, the stacked FT_FSs explore the hidden features in the data by transferring data from the original data space to the high-level feature space. MPRFD_FS, on the other hand, implements classification based on multiple prototypes that characterize the distribution …

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Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang Jul 2024

Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang

Journal of System Simulation

Abstract: To better exploit the regulation potential of electric vehicles (EVs), resolve the conflicts of interest among the stakeholders in vehicle-to-grid (V2G) interactions, and overcome the uncertainty of distributed energy sources and load, this paper proposes a two-level optimization scheduling model for V2G interactions based on the interval Stackelberg game of a virtual power plant (VPP). The VPP aggregator is considered as the upper level, and the EV users as the lower level. The upper level model uses interval numbers to describe the uncertainty of sources and loads, with the aim of minimizing the operating cost of the VPP aggregator, …

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Effective Position Intelligent Decision Method Based On Model Fusion And Generative Network, Liqiang Guo, Liang Ma, Hui Zhang, Jing Yang, Lianfeng Li, Yaqi Zhai Jul 2024

Effective Position Intelligent Decision Method Based On Model Fusion And Generative Network, Liqiang Guo, Liang Ma, Hui Zhang, Jing Yang, Lianfeng Li, Yaqi Zhai

Journal of System Simulation

Abstract: Military intelligence technology is currently the most dynamic frontier and the inevitable trend for the development of unmanned equipment in the future. Aiming at the dual requirements of reliability and real-time performance of unmanned platform autonomous decision-making in complex environments and the shortcomings of existing combat simulation technology based on rule reasoning in terms of dynamics and flexibility, a research method of principle analysis and experimental verification is adopted. Based on the shooting experiment dataset of an unmanned platform, the effective position recognition link of attack decision-making is transformed into a binary classification problem with imbalanced categories in the …

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Real-Time Scheduling Method For Dynamic Flexible Job Shop Scheduling, Quan Jiang, Jingxuan Wei Jul 2024

Real-Time Scheduling Method For Dynamic Flexible Job Shop Scheduling, Quan Jiang, Jingxuan Wei

Journal of System Simulation

Abstract: A multi-objective dynamic flexible job shop scheduling problem model with machine breakdown and random jobs arrival is constructed to address the interference of dynamic events in manufacturing processing on the scheduling scheme, and a real-time scheduling method with multiobjective proximal policy optimization (MPPO) algorithm is proposed. The MPPO algorithm trains two agents, routing agent (RA) and sequencing agent (SA), for real-time scheduling and real-time processing of dynamic events. It employs a linear combination of weight vectors and reward vectors as reward signals and stores the agents' parameters for each weight vector to optimize multiple objectives. The required state information, …

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