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Articles 1801 - 1830 of 13783
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Ambient Air Emission Profiles Of Polycyclic Aromatic Hydrocarbons Around A Typical University Power House In Nigeria, Oyetunji Okedere
Ambient Air Emission Profiles Of Polycyclic Aromatic Hydrocarbons Around A Typical University Power House In Nigeria, Oyetunji Okedere
Tanzania Journal of Engineering and Technology (TJET)
The level of electricity generation in Nigeria is presently grossly inadequate. Consequently, the productive sectors of the economy do not presently enjoy an uninterrupted supply of electrical energy from the country’s national grid and the downtime is in most cases too much. Using diesel-fueled electric power generators has become an attractive alternative to meet the shortfall in the energy supply gap. In this study, the levels of polycyclic aromatic hydrocarbons in the vicinity of the diesel-fueled electric power generators operated by Osun State University, Osogbo, Nigeria were investigated with a view to ascertain the priority levels and carcinogenic PAHs. Since …
Employment Of Intelligent Predictive Maintenance On Thermal Power Plant Component Parts Taking Condenser Vacuum As A Case Study, Titus Ajewole
Employment Of Intelligent Predictive Maintenance On Thermal Power Plant Component Parts Taking Condenser Vacuum As A Case Study, Titus Ajewole
Tanzania Journal of Engineering and Technology (TJET)
This work proposes deployment of machine learning in the maintenance of individual constituent parts of steam power plant assemblages. With the condenser vacuum of a steam turbine (in a six-turbine plant assemblage) taken as a case study, information on the past operating parameters of the selected plant component was used to forecast its future working condition. Based on Exponential Gaussian Process of Regression, a model was developed, trained using the diachronic operational data, and employed in determining the future. A quantitative evaluation was employed to provide the distribution of the test values of the data about the lines of regression, …
Modeling Social Dynamics Through Coupling Mechanistic Models With Generative Artificial Intelligence, Navid Ghaffarzadegan, Ross Williams, Aritra Majumdar, Niyousha Hosseinichimeh
Modeling Social Dynamics Through Coupling Mechanistic Models With Generative Artificial Intelligence, Navid Ghaffarzadegan, Ross Williams, Aritra Majumdar, Niyousha Hosseinichimeh
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Behavioral Epidemic Model: A Simulation And Empirical Analysis, Ann Osi, Navid Ghaffarzadegan
A Behavioral Epidemic Model: A Simulation And Empirical Analysis, Ann Osi, Navid Ghaffarzadegan
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Robust Maximum Capture Facility Location Under Random Utility Maximization Models, Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Robust Maximum Capture Facility Location Under Random Utility Maximization Models, Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Research Collection School Of Computing and Information Systems
We study a robust version of the maximum capture facility location problem in a competitive market, assuming that each customer chooses among all available facilities according to a random utility maximization (RUM) model. We employ the generalized extreme value (GEV) family of models and assume that the parameters of the RUM model are not given exactly but lie in convex uncertainty sets. The problem is to locate new facilities to maximize the worst-case captured user demand. We show that, interestingly, our robust model preserves the monotonicity and submodularity from its deterministic counterpart, implying that a simple greedy heuristic can guarantee …
Joint Location And Cost Planning In Maximum Capture Facility Location Under Random Utilities, Ngan H. Duong, Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Joint Location And Cost Planning In Maximum Capture Facility Location Under Random Utilities, Ngan H. Duong, Tien Thanh Dam, Thuy Anh Ta, Tien Mai
Research Collection School Of Computing and Information Systems
We study a joint facility location and cost planning problem in a competitive market under random utility maximization (RUM) models. The objective is to locate new facilities and make decisions on the costs (or budgets) to spend on the new facilities, aiming to maximize an expected captured customer demand, assuming that customers choose a facility among all available facilities according to a RUM model. We examine two RUM frameworks in the discrete choice literature, namely, the additive and multiplicative RUM. While the former has been widely used in facility location problems, we are the first to explore the latter in …
Fast Fourier Transform Analytical Expression Of Estimation Of Nosinusoidality Indicators, Ilkhomjon Khakimovich Siddikov, Zailobiddin Urazali O’G’Li Boixanov
Fast Fourier Transform Analytical Expression Of Estimation Of Nosinusoidality Indicators, Ilkhomjon Khakimovich Siddikov, Zailobiddin Urazali O’G’Li Boixanov
Chemical Technology, Control and Management
This in the article asynchronous motor is reactive power control to do and manage for from the transformer used. The main element of the current transformer is the measuring instrument, i.e. the sensitive element. Depending on the number of asynchronous motor stator blades, the measurement sensitive element is placed between the main winding and the rotor as a two-ring or three-ring. Measurement accuracy, reliability, and sensitivity increase compared to an independent measuring device. The measuring element loops are independent or connected in series . When the measurement loops are connected in series, the amount of output voltage is …
Metric Algorithms Of Symbol Detection For Determining A Group Of Significant Objects, Sherzod Ismoiljonovich Yuldashev
Metric Algorithms Of Symbol Detection For Determining A Group Of Significant Objects, Sherzod Ismoiljonovich Yuldashev
Chemical Technology, Control and Management
This article examines the algorithm of nearest neighbors, which widely uses metric classification algorithms and the combinatorial theory of reconnection with the precedent information in solving practical recognition problems. One of the most important issues in the development of image recognition systems is that the image recognition system determines the characteristics of objects. Most pattern recognition methods are used in the process of recognizing not all objects of the training sample, but a certain part of the objects. The formation of a training sample by filtering objects according to the level of importance for metric classification algorithms is carried out …
Development Of An Imitation Model Of The Vulcanization Process In The Production Of Elastomeric Composites, Toshtemir Avezov, Mirxalil Agzamovich Ismailov
Development Of An Imitation Model Of The Vulcanization Process In The Production Of Elastomeric Composites, Toshtemir Avezov, Mirxalil Agzamovich Ismailov
Chemical Technology, Control and Management
In the article, a systematic approach to the mathematical modeling of the production process of complex multi-stage elastomeric composites was considered, which allows to take into account the stoichiometric relationship of the chemical reaction in the process. Based on the chemical reaction occurring in the mixer, a kinetic model of the elastomer composites production process is proposed, which is the basis for obtaining the main functional relationship of the mathematical model for the mixer, the main quality indicator of the process. The proposed systematic approach in the form of a mathematical model based on the stoichiometric relationship and the …
Dependence Of The Granulometric Composition Of Chalk During Granulation In A Turbulized Layer, N.A. Annaev, S.Kh. Nurmukhamedov, Zh.V. Sultonov, N.Sh. Khudoiberdieva
Dependence Of The Granulometric Composition Of Chalk During Granulation In A Turbulized Layer, N.A. Annaev, S.Kh. Nurmukhamedov, Zh.V. Sultonov, N.Sh. Khudoiberdieva
Chemical Technology, Control and Management
The article presents the results of an experimental study on chalk granulation in the turbulized layer of a turboblade granulator. The design of the apparatus combines the following sequential processes: grinding, granulating and compacting newly formed granules. In addition, this device has the ability to carry out both rotational and reciprocating motion. It has been established that preliminary grinding of the feedstock increases the efficiency of the granulation process and improves the quality of the finished product. In the experiments, four substances were used to create 2 astringent suspensions and the optimal combination and their ratios were determined. The experiments …
The Algorithm For The Design Of Fine Granular Substances’ Smart-Type Heat And Moisture Converters Based On Their Accuracy And Speed Criteria, Erkin Uljaev, Ali Abduakhatovich Abduraxmanov
The Algorithm For The Design Of Fine Granular Substances’ Smart-Type Heat And Moisture Converters Based On Their Accuracy And Speed Criteria, Erkin Uljaev, Ali Abduakhatovich Abduraxmanov
Chemical Technology, Control and Management
The paper describes a technique and algorithm allowing to perform parametric design of smart-type heat and moisture converters (hereinafter SHMC) of fine-grained dispersive materials based on their criteria of accuracy and speed. The proposed algorithm optimizes the process of design of smart-type switches and ensure optimal performance of the switches. The method of calculation and selection of optimal parameters of smart-type heat and moisture converters intended to be used in the measurement of parameters such as heat and humidity of fine dispersive substances are aimed at boosting two parameters, i.e., the accuracy and speed. Also, the design stages have been …
Synthesis Problem Of Adaptive Control Systems For Multi-Channel And Multi-Mode Objects, Jasur Usmonovich Sevinov, Abdishukurov Maqsud O'G'Li Shavkat Mr, Nasriddin Xasanovich Bobomurodov
Synthesis Problem Of Adaptive Control Systems For Multi-Channel And Multi-Mode Objects, Jasur Usmonovich Sevinov, Abdishukurov Maqsud O'G'Li Shavkat Mr, Nasriddin Xasanovich Bobomurodov
Chemical Technology, Control and Management
The issue of synthesis of an adaptive control system for multi-channel and multi-mode objects is considered. Development that of effective adaptive control algorithms for nonlinear dynamic systems ensure quality indicators of processes. In technological processes, it is necessary to control several parameters or several systems at the same time. For such a process control system, an adaptive control system is created. Work has been carried out on structural projects for the installation of adaptive systems. The stable requirements for the correction of adaptive control systems are seen. A review of several parametric deviation detections, based on the reference model and …
Study Of Technological Multi-Stage Modes Of Refining Vegetable Oils, Elyor Erkinovich Samadov
Study Of Technological Multi-Stage Modes Of Refining Vegetable Oils, Elyor Erkinovich Samadov
Chemical Technology, Control and Management
The work reflects the current state of the technology for obtaining refined vegetable oils and identifies trends in their improvement and further development in the environment of industrial automation using modern methods of distributed monitoring, building control, and management systems for technological processes of refining vegetable oils. The influence of technological modes of refining vegetable oils on the efficiency of diffusion extraction of free fatty acids (FFA) has been studied and the indirect pH-metric measurement of FFA concentration has been substantiated.
Algorithm For The Functioning Of The Robot's Mechatronic System, Nodira Batirdjanovna Alimova, Bekmurod Bayotovich Yusupov
Algorithm For The Functioning Of The Robot's Mechatronic System, Nodira Batirdjanovna Alimova, Bekmurod Bayotovich Yusupov
Chemical Technology, Control and Management
Currently, the introduction of mechatronics and robotics into modern technologies, including rural industry, which are based on different types of mechatronic modules, is relevant. The article discusses the functioning algorithm of the electro-pneumatic multi-position mechatronic system of an intelligent robot. The mechatronic system under consideration is an integrated complex of electro-pneumatic elements, electronic elements and computer technology, with constant dynamic changes in energy and information between them, united by a common automatic control system. The main distinctive feature of this mechatronic system is increased positioning accuracy and high traction forces.
Trends In The Development And Improvement Of Glass Furnaces And Monitoring And Control Systems, N.R Yusupbekov, O'Tkir U. Xolmanov
Trends In The Development And Improvement Of Glass Furnaces And Monitoring And Control Systems, N.R Yusupbekov, O'Tkir U. Xolmanov
Chemical Technology, Control and Management
The theory and practice of establishing industrial automation systems for glass furnaces and installations as they are right now are taken into consideration. Comparative analysis is based on publications over the last 20 years in the field being studied. On the basis of an analysis of the review materials, generalizations are made that form the basis for proposals aimed at modernizing and improving the technology and instrumentation of fuel combustion processes in gas-burning furnaces and installations, as well as monitoring and control systems for technological processes occurring in glass furnaces and installations.
Electromagnetic Transient Equivalent Modeling Method For Wind Power Clusters Adapted To Expected Faults, Dongsheng Li, Ye Liu, Yankan Song, Chen Shen
Electromagnetic Transient Equivalent Modeling Method For Wind Power Clusters Adapted To Expected Faults, Dongsheng Li, Ye Liu, Yankan Song, Chen Shen
Journal of System Simulation
Abstract: Based on an existing equivalent modeling method for individual wind farm, an iterative simulation-based equivalent modeling method for wind power clusters is proposed and a software development for equivalent modeling of wind power clusters is completed by using CloudPSS-XStudio suite. The system integrates expected fault selection, equivalent parameter calculation and result analysis, which provides support for dynamic security assessment of power systems with large-scale wind power clusters. The equivalent method takes the average wind speed of each wind farm and the expected faults as input, and obtains the cluster index of each wind turbine based on the iterative simulation …
Key Technology And Application Of Digital Twin Modeling For Mri, Shanshan Chen, Hongzhi Wang, Tian Xia
Key Technology And Application Of Digital Twin Modeling For Mri, Shanshan Chen, Hongzhi Wang, Tian Xia
Journal of System Simulation
Abstract: With the accelerating digitalization in education, the construction of digital resources and application platforms has caught increasing attention. The framework of MRI equipment digital twin fivedimensional model is constructed to solve the problems in teaching and training for magnetic resonance imaging (MRI). A modeling and simulation method based on the mechanism model is proposed. The multi-dimensional physical data are obtained to perform digital human modeling, and the virtual acquisition and image reconstruction method is proposed to generate images. The digital twin data are adopted for iterative optimization to implement the whole process of the three-dimensional visual operation including preparation …
A Hybrid Empirical Method For Fast Modeling Of Ship Manoeuvring Motion, Peng Wu, Zongmo Yang, Qianfeng Jing, Yulin Li
A Hybrid Empirical Method For Fast Modeling Of Ship Manoeuvring Motion, Peng Wu, Zongmo Yang, Qianfeng Jing, Yulin Li
Journal of System Simulation
Abstract: Simulation testing is an important means to verify the functions of intelligent ships. Ship maneuvering motion modeling and simulation is the key theoretical basis for the intelligent collision avoidance of multiple vessels in complex sea areas. To address the problem that the calculation of the hydrodynamic coefficients required for ship maneuvering modeling is complex and difficult to obtain, a hybrid empirical method is proposed, a combination method of the existing regression methods is established, the comprehensive performance indicators are constructed, the optimal hydrodynamic coefficients groups are selected by simulated maneuvering experiments, and a rapid modeling program code is developed …
A Structured Conceptual Model Of Joint Operations From Design Perspective, Rui Wen
A Structured Conceptual Model Of Joint Operations From Design Perspective, Rui Wen
Journal of System Simulation
Abstract: With the development of technology, through the complementary interaction among operations, operation effectiveness can non-linearly increase and realize fissional and exponential effect. In order to realize dynamic convergence, it is necessary to carry out the action, information and energy unified design. From the antagonism view, taking into account the factors such as the purpose of the operation, the strength of the operation, the conditions of the operation, and so on, the joint operation is divided into the preorder action/ state, the major operational action, the counter-action, the response action, and the branch action, which is synthesized to major operation, …
Time-Varying Rbf Neural Network-Based Controller Design For A Class Of Time-Varying Nonlinear Systems, Jing Li, Taotao Zhang, Kai Jin, Shengzhi Yuan, Zilong Zha
Time-Varying Rbf Neural Network-Based Controller Design For A Class Of Time-Varying Nonlinear Systems, Jing Li, Taotao Zhang, Kai Jin, Shengzhi Yuan, Zilong Zha
Journal of System Simulation
Abstract: A time-varying RBF neural network with time-varying properties is firstly proposed, and its approximation theorem is obtained. For a class of nonlinear systems with non-parametric time-varying uncertainties, the proposed time-varying RBF neural network is used to approximate the time-varying uncertainties, and the controller is designed by making use of Lyapunov stability theory and adaptive iterative learning control techniques. We obtain the stability theorem of the designed controller. The simulation results verify the effectiveness of the time-varying neural network and the correctness of the controller design scheme.
Terrain Surface Texture Generation Networks For User Semantics Customization, Yan Gao, Jimeng Li, Jianzhong Xu, Hongyan Quan
Terrain Surface Texture Generation Networks For User Semantics Customization, Yan Gao, Jimeng Li, Jianzhong Xu, Hongyan Quan
Journal of System Simulation
Abstract: Customizing terrain based on user semantics has practical value in the virtual terrain modeling of military simulation applications. This study provides a terrain surface texture generation network (TSTG-Net) that can synthesize realistic terrain based on user input semantics. TSTG-Net is designed as a Pix2pix structure and is based on CGAN. It learns the topology of customized terrain by encoding and parsing user semantics and regards the semantics feature as the constraint of CGAN. In the generator-discriminator structure, user-customized semantics are used as the input, and the real terrain with semantics is employed as the ground truth in network optimization. …
Reliability Evaluation Method Of Radar Simulation Model Based On Air Combat Mechanism, Chenguang Wang, Jinpeng Bai, Tingting Li, Lifeng Miao, Kaifeng Wang
Reliability Evaluation Method Of Radar Simulation Model Based On Air Combat Mechanism, Chenguang Wang, Jinpeng Bai, Tingting Li, Lifeng Miao, Kaifeng Wang
Journal of System Simulation
Abstract: In modern air combat simulation, the reliability of radar simulation model is very important. Based on simulation model VV&A theory, a cropped and suitable for engineering applications simulation model reliability evaluation method is proposed. Based on the analysis of radar use mechanism in medium and long range air combat and short range air combat is analyzed,, the requirement of radar model in air combat simulation system, the evaluation index system is established, and the reliability quantification method based on JS dispersion is proposed, which further enriches the base of basic method. The test case is designed, the simulation test …
A Fuzzy Group Decision-Making-Based Method For Green Supplier Selection And Order Allocation, Lu Liu, Wenxin Li, Xiao Song, Bingli Sun, Guanghong Gong
A Fuzzy Group Decision-Making-Based Method For Green Supplier Selection And Order Allocation, Lu Liu, Wenxin Li, Xiao Song, Bingli Sun, Guanghong Gong
Journal of System Simulation
Abstract: With the intensity of market competitiveness, the worsening of the global environment, and the improvement of public concern about environmental protection, the issue of green purchasing has received considerable attention. The vast majority of existing studies on green purchasing have concentrated on supplier selection with green criteria, so as to realize sustainable operations, whereas it is more feasible and economical for businesses to obtain the proper products from adaptable and suitable suppliers at the right times, rates, and volumes, which is referred to as supplier selection and order allocation. To resolve the aforementioned two crucial challenges, we propose a …
Learning And Analysis Of Dynamic Models For Grid Discrete Events Based On Log Information, Danlong Zhu, Yunqi Yan, Ying Chen, Jiaqi Zhang, Longxing Jin, Wei Fu
Learning And Analysis Of Dynamic Models For Grid Discrete Events Based On Log Information, Danlong Zhu, Yunqi Yan, Ying Chen, Jiaqi Zhang, Longxing Jin, Wei Fu
Journal of System Simulation
Abstract: With the increasing scale of power grid, the massive amount of log information generated bydevices in the power grid poses a challenge to the manual analysis of abnormal grid conditions. The log information generated during the operation of the power grid has the typical discrete sequential characteristics. By analyzing the log information of grid alarm messages, a station event transition probability model and an event sequence risk calculation method are proposed to effectively model and analyze the abnormal operation level of primary and secondary systems in substations. The proposed method not only successfully identifies the event sequences corresponding to …
Air Distribution Simulation And Comfort Evaluation Of Large Space Building Based On Rans And Les, Shen Zhang, Ming Cheng, Yifan Wang, Fankai Meng, Ting Li, Han Chen, Zhifeng Ji
Air Distribution Simulation And Comfort Evaluation Of Large Space Building Based On Rans And Les, Shen Zhang, Ming Cheng, Yifan Wang, Fankai Meng, Ting Li, Han Chen, Zhifeng Ji
Journal of System Simulation
Abstract: Air distribution simulation and thermal comfort evaluation for heating, ventilation and air conditioning (HVAC) design of large space buildings is of great significance for the human thermal comfort improvement and the energy consumption reduction. By combining the steady analysis based on RANS and the transient analysis of large eddy simulation (LES), an air distribution simulation and thermal comfort evaluation process in large space buildings is established. Due to the low calculation consumption, the steady analysis based on RANS is conducted to efficiently evaluate the thermal comfort and the air quality under multiple working conditions. Considering the high computational consumption …
Research On Multi-Aircraft Air Combat Behavior Modeling Based On Hierarchical Intelligent Modeling Methods, Yukun Wang, Ze Wang, Liwei Dong, Ni Li
Research On Multi-Aircraft Air Combat Behavior Modeling Based On Hierarchical Intelligent Modeling Methods, Yukun Wang, Ze Wang, Liwei Dong, Ni Li
Journal of System Simulation
Abstract: In response to the problem of the difficulty of decision-making in the game of force under the constraints of high-dimensional state-space in multi-machine air combat confrontation scenarios, a force intelligent agent decision-making generation strategy based on deep reinforcement learning is adopted. The developing situational cognition and reward feedback generation algorithms for force intelligentgame are proposed, a behavior modeling hierarchical framework based on hybrid intelligence modeling method is constructed, which solve the technical difficulty of sparse reward in the reinforcement learning process. It provides an feasible reinforcement learning training method that can solve the large-scale, multi-model, and multi-element air combat …
Dynamic 3d Scene Perception Based On Battlefield Metaverse, Haoyu Wang, Guanghong Gong, Jihong Cai, Bipeng Ye, Zhaofang Zhou, Zheng Mei, Ni Li
Dynamic 3d Scene Perception Based On Battlefield Metaverse, Haoyu Wang, Guanghong Gong, Jihong Cai, Bipeng Ye, Zhaofang Zhou, Zheng Mei, Ni Li
Journal of System Simulation
Abstract: Informatization combat needs higher requirements for battlefield situational awareness, and the use of unmanned intelligences to conduct battlefield reconnaissance and perceive target information is particularly important. Facing the needs of complex dynamic environment localization and target recognition, a dynamic 3D scene perception system is proposed and constructed based on battlefield meta-universe target data and operational environment, which uses vision and IMU fusion sensor simulation data as inputs, extracts battlefield target information through instance segmentation and dense optical flow estimation network and uses it as a scene prior, and synchronizes the position estimation of unmanned intelligences in the battlefield with …
A Precise Attention Tracking System Based On Computer Vision, Jiyuan Liu, Hanwen Qi, Zhicheng Liu, Minrui Fei, Kun Zhang
A Precise Attention Tracking System Based On Computer Vision, Jiyuan Liu, Hanwen Qi, Zhicheng Liu, Minrui Fei, Kun Zhang
Journal of System Simulation
Abstract: A precise attention tracking system based on machine vision is designed to address the difficulty in studying students' attention allocation. The system includes an image capture device and an accurate attention tracking algorithm. The image capture device can capture the clearer ocular images. The pupil center localization algorithm replaces VGG16 with lightweight MobileNetv3 and uses twostage feature fusion and center keypoint prediction techniques to improve the speed and accuracy. The algorithm achieves a speed of up to 36 frames/s and 97.42% accuracy. The gaze tracking algorithm compensates for the head movements to achieve the meticulous gaze tracking. An interactive …
Modeling And Analysis On Scattering Characteristics Automatic Driving Radar Bands In Rainy Environment, Mengfan Zou, Xiaoyu He
Modeling And Analysis On Scattering Characteristics Automatic Driving Radar Bands In Rainy Environment, Mengfan Zou, Xiaoyu He
Journal of System Simulation
Abstract: The operating frequency band of modern communication and radar systems has extended to millimeter wave and terahertz frequency band, and the analysis on propagation characteristics of electromagnetic signals in rainy environment is important. A calculation model through Mie scattering theory is built to simulate the attenuation and the scattering of electromagnetic signals in rainy environments. Different types of raindrop size distribution function are adopted to analyze the propagation attenuation under different rainfall of frequencies spanning from 1 GHz to 1 THz. Experimental results are compared with international telecommunication union (ITU) half-empirical model to verify the validation of the model. …
Integrated Scheduling Simulation Based On Improved Moth Flame Optimizer, Tianrui Zhang, Huiyuan Niu, Wei Xie
Integrated Scheduling Simulation Based On Improved Moth Flame Optimizer, Tianrui Zhang, Huiyuan Niu, Wei Xie
Journal of System Simulation
Abstract: Aiming at the rising cost of manufacturing enterprises, a mathematical programming model of integrated scheduling of production and transportation is established, and a double adaptive weights for moth flame optimizer(DAWMFO) is proposed. A double adaptive weight mechanism is proposed. The spiral function is used to update the population, which improves the convergence speed and accuracy of the algorithm. The benchmark function is tested by the improved algorithm. The results show that the improved algorithm can converge quickly and not easily fall into local optimum. Compared with other algorithms, the optimization ability is also improved. Through the simulation experiment on …