Proceedings of the 13th International Conference on Computer Modeling and Simulation最新文献_第3页

Steps for Data Exchange between Real Environment and Virtual Simulation Environment 真实环境与虚拟仿真环境数据交换的步骤

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474988

R. Ferro, Hamid Sajjad, R. Ordóñez

引用次数: 2

Design of Model Predictive Controller for a Biological Fermenter 生物发酵罐模型预测控制器的设计

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474987

C. Madhuranthakam, O. Khan

{"title":"Design of Model Predictive Controller for a Biological Fermenter","authors":"C. Madhuranthakam, O. Khan","doi":"10.1145/3474963.3474987","DOIUrl":"https://doi.org/10.1145/3474963.3474987","url":null,"abstract":"Model Predictive Control (MPC) is a control strategy which utilizes a process model to compute a sequence of control moves with a desired control objective of tracking the desired level of the controlled variable. Extensive work has been undertaken to determine tuning strategies for model predictive controllers. However, much of that work has focused on determining the optimal tuning parameters for a particular set of process conditions, or has ignored the presence of uncertainty in the process model. This work aims to develop robust model predictive controllers by explicitly accounting for plant-model mismatch. To do this, model predictive controllers are created for three second-order process models obtained from finding the best-fit transfer function to open-loop step-response data obtained from a microbial fermenter. Further, the optimal MPC settings (namely the control horizon, prediction horizon, and the weights) are determined for the nominal case when there is no uncertainty. The optimal settings for the nominal scenario are used to inform the optimal settings for the uncertain scenario, which are found by randomly generating 500 mismatched process models based on observed experimental uncertainty. Graphical techniques are used to find the optimal settings that maximize the control performance and minimize variation in the control performance in response to step changes in the set-point and the disturbance.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128039881","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}

引用次数: 0

Percolation on Multi-layer Network with Joint Storage and Processing Capacities 具有联合存储和处理能力的多层网络的渗流

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474979

Chao Yang, Z. Chen

引用次数: 2

Shallow-neural-network Optimization for Predicting Plasticity Index of Loess with Cone Penetration Test Data 利用锥贯试验数据预测黄土塑性指标的浅神经网络优化

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474982

Siyuan Wang, Xinjian Wang, Zhongnan Wang

{"title":"Shallow-neural-network Optimization for Predicting Plasticity Index of Loess with Cone Penetration Test Data","authors":"Siyuan Wang, Xinjian Wang, Zhongnan Wang","doi":"10.1145/3474963.3474982","DOIUrl":"https://doi.org/10.1145/3474963.3474982","url":null,"abstract":"Plasticity index is essential for engineering applications, obtaining which would be carried out from situ-fields to the laboratory costly and time-consuming. Cone penetration tests (CPTs), fast, low-cost, reliable and output near-continuous measurement, are widely used in geological and geotechnical engineering, and shallow neural networks can learn and build models of complex nonlinear relationships. This paper presents a methodology of predicting soil plasticity index by CPT using optimized artificial neural networks (SNNs) for reducing laboratory work that represents a significant saving of both time and money. Gathered from fields in Western Henan province in central China, 237 sets of laboratory results and CPT tests divided into 20 groups were used to train, test, and validate the optimization ANN models with single and double hidden layers. A criterion ensuring without underfitting or overfitting is set up by regression coefficient distribution. The optimization covers 12 train functions, four process functions, divide functions and divide models, 2 to 20 neurons selected for two hidden layers. Of the results with double hidden layers, the largest minimum and 2-norm regression coefficients and the least maximum and 2-norm mean square errors are 0.640, 1.318 and 0.775, 1.078 individually, which distinctly larger than the corresponding values in with a single layer, thus indicates improved performances. The influence on the regression values and MSEs is presented.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126751547","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}

引用次数: 0

Design of an Axial Flux Permanent Magnet Synchronous Motor for a Pedestal Electric Fan Application 座式电风扇用轴向磁通永磁同步电机的设计

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474994

Chun-Yu Hsiao, Ketut Wirtayasa

{"title":"Design of an Axial Flux Permanent Magnet Synchronous Motor for a Pedestal Electric Fan Application","authors":"Chun-Yu Hsiao, Ketut Wirtayasa","doi":"10.1145/3474963.3474994","DOIUrl":"https://doi.org/10.1145/3474963.3474994","url":null,"abstract":"Electrical energy is very important todays. In summer season, the use of the electric fans is increasing which will increase the electricity consumption. By using high efficiency electrical devices, the electricity consumption and the electricity bill will be reduced. An electric fan is a common household appliance whose main component is an electric motor. Generally, the electric motor used in the electric fans is an induction motor. To support energy conservation in terms of saving the electrical energy, it is important to use a high efficiency electric motor. The axial flux permanent magnet motor is proven to be a high performance electric motor which can be applied in various fields. In this study, a single-side axial flux permanent-magnet motor is designed to be used as a main component for a pedestal electric fan. The finite element method from the Ansys Maxwell-3D software is used to obtain the motor performances at 900 rpm, 1200 rpm and 1400 rpm. From the results, the developed average torque at 900 rpm is 0.1742 Nm, at 1200 rpm is 0.1730 Nm and at 1400 rpm is 0.1723 Nm. In term of the efficiency, the motor is better operated always at 1400 rpm, often at 1200 rpm and rarely at 900 rpm.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115083487","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}

引用次数: 0

Implementation of A Management Algorithm in The Spring White Cake Processing Using Multi-Agent System 一种管理算法在春白饼加工中的多智能体实现

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474968

Yigui Zhong, Mingfeng Ye, Wencong Yang, J. Cai, Yang Liu

{"title":"Implementation of A Management Algorithm in The Spring White Cake Processing Using Multi-Agent System","authors":"Yigui Zhong, Mingfeng Ye, Wencong Yang, J. Cai, Yang Liu","doi":"10.1145/3474963.3474968","DOIUrl":"https://doi.org/10.1145/3474963.3474968","url":null,"abstract":"This design takes \"The spring white cake\" as an example to study the application of multi-agent system in food processing. The processing of \"The spring white cake\" is realized through agent programming. The processing includes four steps: cooking, mixing, forming and packaging. The cooking process uses PID control algorithm, and the mixing, forming and packaging process uses 0-1 digital control, which makes it easy to operate Matlab / Simulink is used for modeling and simulation. Agent programming control can improve the accuracy of processing, effectively reduce the error of manual operation and reduce the consumption of manpower. Therefore, multi-agent processing system has great significance. Multi-agent system (M.A.S.) is composed of multiple interacting agents, one of which is a computing entity. It can be a software program, a robot or a controller, etc. Multiple agents in the same environment interact to form a computing system, to some extent, they can run independently to achieve their design goals. In this design, we use the environment built by jade and MATLAB / Simulink to design the multi-agent system. The characteristics of multi-agent system, such as autonomy, fault tolerance, flexibility, scalability and coordination, make it well applied in practical fields. At present, multi-agent system has been widely used in aircraft formation, sensor network, data fusion, multi manipulator cooperative equipment, parallel computing, multi robot cooperative control, traffic vehicle control, network resource allocation and other fields.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131100105","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}

引用次数: 1

Frame Rate Up-Conversion Algorithm Based on Infrared Image 基于红外图像的帧率上转换算法

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3475843

T. Han, Shiguo Chen, Jingcheng Shi

{"title":"Frame Rate Up-Conversion Algorithm Based on Infrared Image","authors":"T. Han, Shiguo Chen, Jingcheng Shi","doi":"10.1145/3474963.3475843","DOIUrl":"https://doi.org/10.1145/3474963.3475843","url":null,"abstract":"With the more and more common use of infrared video in life, people have higher and higher requirements for infrared imaging frame rates. Better quality infrared images provide a better basis for subsequent target recognition, video compression and decompression operations. Therefore, it is of great significance to effectively obtain infrared high frame rate images and improve the quality of infrared images. As an effective means of video conversion, frame rate enhancement technology has become a research hotspot in the direction of computer vision. However, the existing video interpolation methods based on infrared images are all implemented based on block matching, which cannot well approximate the complex moving real world. In order to solve these problems, an optical flow method based on pixel motion compensation is proposed for infrared video interpolation. The second interpolation method can make better use of the motion information in the video. In the end, an optical flow optimization network is used for optimization, which can better optimize the artifacts in the optical flow estimation and improve the final image quality. Experiments show that our method has a better effect than existing methods on models on various infrared video data sets, and has lower computational complexity.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130083821","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}

引用次数: 0

Amharic Character Recognition Based on Features Extracted by CNN and Auto-Encoder Models 基于CNN和自编码器模型提取特征的阿姆哈拉语字符识别

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474972

Efrem Yohannes Obsie, Hongchun Qu, Qingqing Huang

{"title":"Amharic Character Recognition Based on Features Extracted by CNN and Auto-Encoder Models","authors":"Efrem Yohannes Obsie, Hongchun Qu, Qingqing Huang","doi":"10.1145/3474963.3474972","DOIUrl":"https://doi.org/10.1145/3474963.3474972","url":null,"abstract":"Amharic is an ancient Semitic language that serves as the official language of the Federal Republic of Ethiopia. Due to the large number of historical and literary documents written in this language, an automated OCR system is highly demanded. However, previous approaches have been based on traditional machine learning algorithms that focus on hand-crafted feature extraction, and the performance of these methods is greatly affected by the presence of a large set of structurally similar characters. Therefore, according to various studies on Amharic character, this problem can be solved by examining robust feature extraction techniques. In this study, we proposed a hybrid method that uses deep learning models Convolutional Neural Network (CNN) and Convolutional Auto-Encoder (CAE) for feature extraction, Random Forest (RF) and Mutual Information (MI) feature selection methods for selecting top features and a traditional machine learning algorithm Support Vector Machine (SVM) for classification. First, the features extracted by the two deep models were combined to form hybrid features, and then top features were selected by applying feature selection. The common features selected by the two feature selection methods were later used for recognition by SVM. Experimental results using CNN extracted features achieved an accuracy of 96.03% while using CAE extracted features achieved an accuracy of 92.52%. On the other hand, the proposed method based on the intersection features selected by the RF and MI feature selection methods achieved an accuracy of 97.06%.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276173","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}

引用次数: 4

Genetic Algorithm Based Dynamic Collaborative Optimization Method for Train Dispatching and Passenger Flow Guidance 基于遗传算法的列车调度与客流引导动态协同优化方法

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474965

Huicong Wang, Wei Dong, Xinya Sun, Youqing Wang, Mei Le, Shengchao Xue

{"title":"Genetic Algorithm Based Dynamic Collaborative Optimization Method for Train Dispatching and Passenger Flow Guidance","authors":"Huicong Wang, Wei Dong, Xinya Sun, Youqing Wang, Mei Le, Shengchao Xue","doi":"10.1145/3474963.3474965","DOIUrl":"https://doi.org/10.1145/3474963.3474965","url":null,"abstract":"Regional rail transit, formed by the economic integration needs of urban agglomerations, is a comprehensive rail transit system with different kinds of transportation systems. Nowadays, although different kinds of rail transit systems are developing rapidly and the facilities are comprehensive, there is a lack of effective dynamic coordination among the various standards and subsystems. Consequently, the regional rail transit network cannot meet higher overall transport capacity and safety requirements. To solve this problem, this paper proposes a dynamic collaborative optimization method for regional rail transit based on passenger route guidance and train scheduling. This method takes the minimization of the maximum peak value of the road network dynamic risk as the optimization objective to establish a mathematical optimization model. The rail transit road network in the Chengdu–Chongqing area is taken as an example to establish a road network simulation model. Through the combination of the simulation model and intelligent optimization algorithms, the entire multi-standard rail transit network is dynamically optimized for train dispatching and passenger flow guidance. Finally, the effectiveness of the method is verified by the simulation of the actual rail transit network.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127380058","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}

引用次数: 0

Design of Physical Training Motion Simulation System Based on Virtual Reality Technology 基于虚拟现实技术的体育训练运动仿真系统设计

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474975

Fan Zhang

引用次数: 1