With the rapid increase of the use of power resources, the problem of power resource scheduling has attracted wide attention. In order to solve the complex power resource scheduling problem, this paper uses the artificial intelligence expert service system. The expert service system simulates the thinking mode of experts, and based on the knowledge and experience of experts, provides solutions for the scheduling problems in power system, such as accident handling, daily arrangement, power system equipment operation, etc. Expert service system includes knowledge base, production rules and control system. The knowledge base is generated by the knowledge and experience of experts, and the inference mechanism is used to select and use the content of the knowledge base to generate the rule set, according to which the control of the system is realized. It is proved that the expert service system is feasible in power resource scheduling. The expert service system improves the efficiency of power resource scheduling and reduces the workload of scheduling personnel. With the deepening of artificial intelligence research, various intelligent expert systems will appear in various fields of power system.
{"title":"Using Artificial Intelligence Expert Service System to Solve Power Resource Scheduling Problem","authors":"Famin Ma, T. Palaoag, Hongle Du","doi":"10.1145/3547578.3547606","DOIUrl":"https://doi.org/10.1145/3547578.3547606","url":null,"abstract":"With the rapid increase of the use of power resources, the problem of power resource scheduling has attracted wide attention. In order to solve the complex power resource scheduling problem, this paper uses the artificial intelligence expert service system. The expert service system simulates the thinking mode of experts, and based on the knowledge and experience of experts, provides solutions for the scheduling problems in power system, such as accident handling, daily arrangement, power system equipment operation, etc. Expert service system includes knowledge base, production rules and control system. The knowledge base is generated by the knowledge and experience of experts, and the inference mechanism is used to select and use the content of the knowledge base to generate the rule set, according to which the control of the system is realized. It is proved that the expert service system is feasible in power resource scheduling. The expert service system improves the efficiency of power resource scheduling and reduces the workload of scheduling personnel. With the deepening of artificial intelligence research, various intelligent expert systems will appear in various fields of power system.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Excellent feature selection methods can reduce the data dimensionality and improve the efficiency of machine learning tasks. Logistic regression model is one of the models that are widely used for feature selection. In this paper, we propose a regularized LASSO logistic regression model by intuitionistic hesitant fuzzy correlation coefficients, which introduces fuzzy information into the logistic regression model to further enhance its feature selection capability. We design experiments to verify the effectiveness of the feature selection method proposed in this paper. The experimental results show that the method can perform feature selection effectively, and the selected variables can complete the classification task accurately.
{"title":"Feature selection based on intuitionistic hesitant fuzzy regularized LASSO regression","authors":"Yijin Zhang, Jie Huang, Miao Luo, Shengxia Tu","doi":"10.1145/3547578.3547607","DOIUrl":"https://doi.org/10.1145/3547578.3547607","url":null,"abstract":"Excellent feature selection methods can reduce the data dimensionality and improve the efficiency of machine learning tasks. Logistic regression model is one of the models that are widely used for feature selection. In this paper, we propose a regularized LASSO logistic regression model by intuitionistic hesitant fuzzy correlation coefficients, which introduces fuzzy information into the logistic regression model to further enhance its feature selection capability. We design experiments to verify the effectiveness of the feature selection method proposed in this paper. The experimental results show that the method can perform feature selection effectively, and the selected variables can complete the classification task accurately.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116932901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Tang, Lei Guo, Zhuoyao Zhao, Pengfei Zhou, Dong Zhang, Hongfeng Xu
With the development of automated container terminals (ACTs), various layouts of terminals are emerging. In this study, we take the operation in ACT with U-shaped layout as the research object, analyze the characteristics of the ACT layout and the operation process. Based on that, we construct a multi-agent-based simulation model for operations in ACT with a U-shaped layout, considering the coupling operation of double trolley quayside crane (DTQC), intelligent guide vehicle (IGV) and double cantilever automatic rail mounted gantry crane (DCARMG). Finally, we take an actual ACT as an example to verify the validity of the simulation model and analyze the impact of different DCARMG operation strategies and the number of IGVs on the efficiency of terminal operations.
{"title":"A Multi-Agent-based Simulation Model for Operations in the Automated Container Terminal with a U-Shaped Layout","authors":"G. Tang, Lei Guo, Zhuoyao Zhao, Pengfei Zhou, Dong Zhang, Hongfeng Xu","doi":"10.1145/3547578.3547587","DOIUrl":"https://doi.org/10.1145/3547578.3547587","url":null,"abstract":"With the development of automated container terminals (ACTs), various layouts of terminals are emerging. In this study, we take the operation in ACT with U-shaped layout as the research object, analyze the characteristics of the ACT layout and the operation process. Based on that, we construct a multi-agent-based simulation model for operations in ACT with a U-shaped layout, considering the coupling operation of double trolley quayside crane (DTQC), intelligent guide vehicle (IGV) and double cantilever automatic rail mounted gantry crane (DCARMG). Finally, we take an actual ACT as an example to verify the validity of the simulation model and analyze the impact of different DCARMG operation strategies and the number of IGVs on the efficiency of terminal operations.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115291861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A crowd simulation system in a subway station environment is proposed to address the problem that most of the platform passengers in the existing subway simulation systems will use fixed routes which has been planned before to get on and off the train. Along with the creation of the basic model of crowd behavior in the subway station, passengers will obtain the navigation grid and door information through the environment information generator. And, through a finite state machine and the usage of the A* algorithm which can achieve wayfinding, passengers can manage their own state in the intelligent passenger system. When selecting a screen door, passengers will use the algorithms of Topsis analysis and fitting formulas to simulate real decisions. Finally, the simulation-based passenger behavior is compared with the real situation to verify the correctness of the system.
{"title":"A Subway Station Platform Crowd Simulation System","authors":"Xinyu Wang, H. Su, T. Zhou, Xiyu Miao","doi":"10.1145/3547578.3547589","DOIUrl":"https://doi.org/10.1145/3547578.3547589","url":null,"abstract":"A crowd simulation system in a subway station environment is proposed to address the problem that most of the platform passengers in the existing subway simulation systems will use fixed routes which has been planned before to get on and off the train. Along with the creation of the basic model of crowd behavior in the subway station, passengers will obtain the navigation grid and door information through the environment information generator. And, through a finite state machine and the usage of the A* algorithm which can achieve wayfinding, passengers can manage their own state in the intelligent passenger system. When selecting a screen door, passengers will use the algorithms of Topsis analysis and fitting formulas to simulate real decisions. Finally, the simulation-based passenger behavior is compared with the real situation to verify the correctness of the system.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A combined spike and lateral jet structure was proposed to address the concerns of drag reduction and heat prevention for supersonic aircraft. The CFD approach was used to numerically simulate the configuration's flow field, and its drag reduction and heat prevention capabilities were evaluated. Flow field characteristics, the influence of lateral jet position, and the affect of lateral jet to incoming pressure ratio are among the topics covered in the study. In comparison to a simple spike setup, the following is the study scope: 1. The combined spike and lateral jet configuration's drag reduction and heat prevention process can be characterized as push away, diminish shock wave drag reduction, and low-temperature gas heat prevention. At 0.7, the best drag reduction impact is found, whereas at 0.5, the poorest heatproof effect is seen. 2. The pressure ratio of lateral jet flow to incoming flow has a positive link with drag reduction and heat prevention performance; 3. To obtain the optimum overall drag reduction and thermal efficiency, the ratio of the distance between the jet and the blunt-body to the length of the spike is 0.7, the pressure ratio between the jet and the incoming flow is 0.8. Compared with the single spike, the thermal efficiency is 93.4%, and the drag reduction efficiency is 68.8%.
{"title":"Research on Drag Reduction and Heat Prevention of Supersonic Vehicle with the Composite Configuration of Spike and Lateral Jet","authors":"Ziyue Wang, S. Fang, Yang Xu","doi":"10.1145/3547578.3547597","DOIUrl":"https://doi.org/10.1145/3547578.3547597","url":null,"abstract":"A combined spike and lateral jet structure was proposed to address the concerns of drag reduction and heat prevention for supersonic aircraft. The CFD approach was used to numerically simulate the configuration's flow field, and its drag reduction and heat prevention capabilities were evaluated. Flow field characteristics, the influence of lateral jet position, and the affect of lateral jet to incoming pressure ratio are among the topics covered in the study. In comparison to a simple spike setup, the following is the study scope: 1. The combined spike and lateral jet configuration's drag reduction and heat prevention process can be characterized as push away, diminish shock wave drag reduction, and low-temperature gas heat prevention. At 0.7, the best drag reduction impact is found, whereas at 0.5, the poorest heatproof effect is seen. 2. The pressure ratio of lateral jet flow to incoming flow has a positive link with drag reduction and heat prevention performance; 3. To obtain the optimum overall drag reduction and thermal efficiency, the ratio of the distance between the jet and the blunt-body to the length of the spike is 0.7, the pressure ratio between the jet and the incoming flow is 0.8. Compared with the single spike, the thermal efficiency is 93.4%, and the drag reduction efficiency is 68.8%.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125622120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S-map is a method based on state space reconstruction provided an efficient method to infer a proxy for the local effect of species interactions and to make reliable forecasts from nonlinear time series, which uses Euclidean distances in the reconstructed state space to determine nearest neighbor points and corresponding weight values. The distance in the state space measures the similarity of the states of two points in the space, which is essential for predicting the evolution of similar states. If the distance measurement is not accurate, it will be problematic to determine adjacent points that correctly reflect the similarity. To solve this problem, in this paper, we propose a S-map that uses vector similarity to select neighboring points and compute weights. The proposed method is first validated on a simulated dataset generated from 12 resource competition models. To further validate our method, we used vector similarity-based S-map for the Time series of sockeye salmon returns from the Fraser River in British Columbia, Canada.
{"title":"Forecasts of Ecological Time Series based on Vector Similarity S-Map","authors":"Hongchun Qu, Jian Xu","doi":"10.1145/3547578.3547600","DOIUrl":"https://doi.org/10.1145/3547578.3547600","url":null,"abstract":"S-map is a method based on state space reconstruction provided an efficient method to infer a proxy for the local effect of species interactions and to make reliable forecasts from nonlinear time series, which uses Euclidean distances in the reconstructed state space to determine nearest neighbor points and corresponding weight values. The distance in the state space measures the similarity of the states of two points in the space, which is essential for predicting the evolution of similar states. If the distance measurement is not accurate, it will be problematic to determine adjacent points that correctly reflect the similarity. To solve this problem, in this paper, we propose a S-map that uses vector similarity to select neighboring points and compute weights. The proposed method is first validated on a simulated dataset generated from 12 resource competition models. To further validate our method, we used vector similarity-based S-map for the Time series of sockeye salmon returns from the Fraser River in British Columbia, Canada.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133896630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In real game scenes, there may be a problem that it is impossible to collect a large amount of data to train NPC's correct behavior. This paper implements a method of training the neural networks to control game NPC behavior based on an improved genetic algorithm. This method optimizes the weights of the fixed network structure through the genetic algorithm, realizes the self-evolution of the neural network, and improves the fitness function and the selection and crossover mutation method in the traditional genetic algorithm, so as to be suitable for game production. Testing in two real game scenes shows that game NPC can acquire intelligent behavior capabilities using this algorithm.
{"title":"Design and Implementation of NPC AI based on Genetic Algorithm and BP Neural Network","authors":"Meili Zhu, Lili Feng","doi":"10.1145/3547578.3547604","DOIUrl":"https://doi.org/10.1145/3547578.3547604","url":null,"abstract":"In real game scenes, there may be a problem that it is impossible to collect a large amount of data to train NPC's correct behavior. This paper implements a method of training the neural networks to control game NPC behavior based on an improved genetic algorithm. This method optimizes the weights of the fixed network structure through the genetic algorithm, realizes the self-evolution of the neural network, and improves the fitness function and the selection and crossover mutation method in the traditional genetic algorithm, so as to be suitable for game production. Testing in two real game scenes shows that game NPC can acquire intelligent behavior capabilities using this algorithm.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At present, with the continuous improvement of residents' quality of life, the increasing number of private cars and the expansion of urban residents, the traffic pressure is increasing. How to choose the best route of urban traffic, shorten the travel time and relieve the traffic pressure has become the main problem in related fields.In the research, this paper briefly introduces the urban transportation project, and gives the technical methods of digital twin of urban transportation process integration: creating architecture, analyzing system function and digital technology integration; Set the traffic scene and use the digital twin technology to select the technical process of the best traffic path: disease analysis, road condition analysis and IOT technology integration; The system design method of the best path is given: building the framework structure, adding the field detection module, building the traditional data channel, carrying out the virtual driving test, processing the detection data returned by the sensor, so as to ensure the accuracy of path selection.
{"title":"Urban traffic optimal solution based on digital twin system technology simulation","authors":"Songchun Wang, Fa Zhang, Ting Qin","doi":"10.1145/3547578.3547591","DOIUrl":"https://doi.org/10.1145/3547578.3547591","url":null,"abstract":"At present, with the continuous improvement of residents' quality of life, the increasing number of private cars and the expansion of urban residents, the traffic pressure is increasing. How to choose the best route of urban traffic, shorten the travel time and relieve the traffic pressure has become the main problem in related fields.In the research, this paper briefly introduces the urban transportation project, and gives the technical methods of digital twin of urban transportation process integration: creating architecture, analyzing system function and digital technology integration; Set the traffic scene and use the digital twin technology to select the technical process of the best traffic path: disease analysis, road condition analysis and IOT technology integration; The system design method of the best path is given: building the framework structure, adding the field detection module, building the traditional data channel, carrying out the virtual driving test, processing the detection data returned by the sensor, so as to ensure the accuracy of path selection.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125212406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper investigates the resource allocation problem for a wireless-powered backscatter communication network where the sensors can utilize the radio frequency (RF) signals from a hybrid access point (H-AP) to transmit data and store energy. We assume that the sensors receive RF signals from the H-AP and transmit data to the sensors’ gateway by backscattering techniques. The sensors harvest energy from the RF signals, where a portion of the energy is harvested to transmit data to satisfy the gateway data demand, and the rest of the energy is stored in their batteries. In order to allocate the overall storage energy among sensors fairly, we propose a resource allocation problem based on the Nash bargaining solution (NBS) to maximize the product of the storage energy of each sensor. We prove that the energy allocation problem can be equivalent to a convex problem which can be solved by the interior-point method. Simulation results show that the proposed algorithm achieves a good balance between fairness and efficiency with other benchmark algorithms.
{"title":"Resource Allocation for Wireless-Powered Backscatter Communication Network Based on Nash Bargaining Solution","authors":"Zheng-qiang Wang, Xin Wei, Duan Hong, Zi-fu Fan, Xiaoyu Wan, Weiyi Ding","doi":"10.1145/3547578.3547613","DOIUrl":"https://doi.org/10.1145/3547578.3547613","url":null,"abstract":"This paper investigates the resource allocation problem for a wireless-powered backscatter communication network where the sensors can utilize the radio frequency (RF) signals from a hybrid access point (H-AP) to transmit data and store energy. We assume that the sensors receive RF signals from the H-AP and transmit data to the sensors’ gateway by backscattering techniques. The sensors harvest energy from the RF signals, where a portion of the energy is harvested to transmit data to satisfy the gateway data demand, and the rest of the energy is stored in their batteries. In order to allocate the overall storage energy among sensors fairly, we propose a resource allocation problem based on the Nash bargaining solution (NBS) to maximize the product of the storage energy of each sensor. We prove that the energy allocation problem can be equivalent to a convex problem which can be solved by the interior-point method. Simulation results show that the proposed algorithm achieves a good balance between fairness and efficiency with other benchmark algorithms.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133739566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to avoid the blasting accident of high bore pressure and high loading density gun, the safety of firing of coated mixed charge of high bore pressure gun is analyzed. In this paper, the safety analysis of the pressure waves, according to the theory of two phase flow and coated propellant layered model, using the pressure difference curve analysis and intensity of stress wave reflection and reflective research analysis method were analyzed, and it is found that the safety of pressure wave can be improved by selecting the right position of the fire hole in the first row of central fire transmission tube and the right ignition dose. Increasing the length of the fire transmitting tube can reduce the pressure wave and make the flow field in the bore stable.
{"title":"Analysis of Firing Safety of High Chamber Pressure Gun","authors":"Mengjie Huang, Jihong Yin, J. Yin, F. Nan","doi":"10.1145/3547578.3547599","DOIUrl":"https://doi.org/10.1145/3547578.3547599","url":null,"abstract":"In order to avoid the blasting accident of high bore pressure and high loading density gun, the safety of firing of coated mixed charge of high bore pressure gun is analyzed. In this paper, the safety analysis of the pressure waves, according to the theory of two phase flow and coated propellant layered model, using the pressure difference curve analysis and intensity of stress wave reflection and reflective research analysis method were analyzed, and it is found that the safety of pressure wave can be improved by selecting the right position of the fire hole in the first row of central fire transmission tube and the right ignition dose. Increasing the length of the fire transmitting tube can reduce the pressure wave and make the flow field in the bore stable.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134043036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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