Proceedings of the 13th International Conference on Computer Modeling and Simulation最新文献_第2页

Challenging the Spatial Consciousness of a Psychoanalytically inspired Agent through a Use Case 通过一个用例挑战精神分析启发Agent的空间意识

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474980

C. Brandstatter, T. Sauter, D. Dietrich

引用次数: 0

Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning 利用机器学习预测海湾合作委员会(GCC)国家COVID-19感染情况

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3475844

L. Ismail, Huned Materwala, Alain Hennebelle

引用次数: 2

Investigating the Mechanical Strength of an Endodontically Treated Human Canine using Image-based Finite Element Analysis 使用基于图像的有限元分析研究根管治疗的人类犬的机械强度

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474969

Zartasha Mustansar, Wajeeha Batool, Saadia Talay, A. Hafeez, R. Z. Paracha, Mohammad Junaid Iqbal Khan, A. Madarati

{"title":"Investigating the Mechanical Strength of an Endodontically Treated Human Canine using Image-based Finite Element Analysis","authors":"Zartasha Mustansar, Wajeeha Batool, Saadia Talay, A. Hafeez, R. Z. Paracha, Mohammad Junaid Iqbal Khan, A. Madarati","doi":"10.1145/3474963.3474969","DOIUrl":"https://doi.org/10.1145/3474963.3474969","url":null,"abstract":"Endodontic treatment or root canal treatment (RCT) involves the removal of infected pulp of a tooth in order to salvage the remaining natural tooth. This research employs three-dimensional (3D) finite element analysis (FEA) to determine the effect of this treatment on the mechanical strength of the tooth. Computed Tomography (CT) datasets of human canines with and without the treatment are used to analyze stress distribution using advanced image processing suite. An arbitrary load of a 4mm is applied on the surface of the model to create a loading condition relative to the natural chewing force. Boundary conditions are applied and the deformation due to load is measured. In comparison to an untreated tooth, the model with the endodontic treatment showed higher levels of stress and deformation, and therefore, a higher risk of fracture. Conclusion: Current methods in endodontic treatment causes mechanical weakness and reduce tooth stability making it more prone to fractures. Existing methods endodontic treatment needs serious re-considerations. For this purpose, information in this study could be used in further research to study different techniques that may decrease the weakness caused.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"274 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":"121363872","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

An Improvement of Video Technology for Sports Teaching and Training: Intelligent Tracking of Moving Objects in Sports Video 体育教学训练视频技术的改进:运动视频中运动物体的智能跟踪

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3475850

Fan Zhang

引用次数: 0

A Method for Evaluating the Importance of Regional Rail Transit Nodes under the Sense of Cascaded Failure 级联失效意义下区域轨道交通节点重要性评估方法

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474985

Ye Li, Wei Dong, Xinya Sun, Xupeng Fang, Xiaohu Qin

引用次数: 0

Anomaly Detection in a Boxed Beef Supply Chain 盒装牛肉供应链中的异常检测

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474964

Peter Baumgartner

引用次数: 1

3D Human Reconstruction: A Comparison Between Images-Based and Point Cloud-Based Method 三维人体重建:基于图像和基于点云方法的比较

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474973

Duc Van Tran, T. Nguyen, Hai Anh Nguyen, T. D. Nguyen

{"title":"3D Human Reconstruction: A Comparison Between Images-Based and Point Cloud-Based Method","authors":"Duc Van Tran, T. Nguyen, Hai Anh Nguyen, T. D. Nguyen","doi":"10.1145/3474963.3474973","DOIUrl":"https://doi.org/10.1145/3474963.3474973","url":null,"abstract":"Nowadays, Human Reconstruction is an important part of 3D Reconstruction because it enables us to acquire human information. In reality, Human Reconstruction is applied more and more widely in various domains of people's life such as healthcare, education, sport, entertainment, fashion, anthropometry…especially in the Covid-19 pandemic situation. Technically, the digitalization of human shape and pose is being implemented by two main solutions. The first solution aims to re-create 3D shape and pose of people by using a set of 2D images from different view angles. The second method focuses on handling with the point cloud which is acquired from a set of depth cameras. Both of them have their own advantages and disadvantages. The current trend of 3D Human Reconstruction is to try recreating human shape and pose not only from various available sources (images, point cloud) but also from natural sources (surveillance camera). However, the accuracy of current solutions is significantly sensitive to the working environment. Therefore, this work gives an attempt to develop two human reconstruction methods and evaluate their performance in various conditions as synthetic, laboratory, and real-world environments. The results show a comparison of human reconstruction's accuracy due to the working environment and method of approach. In the synthetic environment, the accuracy is highest for both two methods because of the perfection of input. The accuracy of these methods is lower in the remaining environment. Besides, the result also proves that point cloud-based method is more sensitive than image-based method due to the limitation of hardware devices.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"291 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120879644","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

Job Recommendation System Based on Analytic Hierarchy Process and K-means Clustering 基于层次分析法和k均值聚类的职位推荐系统

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474978

Pei-Chun Feng, Charles Jiahao Jiang, Jiale Wang, Sunny Yeung, Xijie Li

{"title":"Job Recommendation System Based on Analytic Hierarchy Process and K-means Clustering","authors":"Pei-Chun Feng, Charles Jiahao Jiang, Jiale Wang, Sunny Yeung, Xijie Li","doi":"10.1145/3474963.3474978","DOIUrl":"https://doi.org/10.1145/3474963.3474978","url":null,"abstract":"Many students search for summer jobs during the vacation, but there are always too many choices. We need to find a way to help people choose a best summer job. We constructed a three-tier system to comprehensively illustrate the factors that high school students need to consider when looking for a summer job from the criteria of comfort, salary, personal gain, and matching degree. Under each criterion lie several sub-criteria (which are discussed later in detail). We also investigated students’ opinions toward each factor to get the judgement matrices for our AHP model. To reduce the subjectivity of the AHP model and reduce the correlation of various indexes in model construction, the AHP model and principal component analysis model were combined to construct the optimal weight model to obtain the optimal weight. And we utilized K-means clustering model to classify the work, adopted elbow method to determine the K value of the number of categories divided according to SSE (Sum of the squared errors) from the perspective of the data itself, and selected the class with the highest clustering center as the selection range of students. Finally we created ten fictional persons based on the samples we chose. The relevant questionnaires tested the students' character ability, and we used the GRNN neural network model to map the questionnaire to the weight. In this way, our model can conveniently get the weight result and calculate to help students find the optimal jobs collection by filling in the questionnaire.","PeriodicalId":277800,"journal":{"name":"Proceedings of the 13th International Conference on Computer Modeling and Simulation","volume":"52 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":"116480834","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: 3

PySeidon - A Data-Driven Maritime Port Simulation Framework PySeidon -一个数据驱动的海港仿真框架

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474986

Paulius Skaisgiris, Walter Simoncini, Fabio Barbero, Amir Ahangi, R. Moeckel

引用次数: 0

Real-time Obstacles Avoidance for Crawler Crane based on DQN 基于DQN的履带起重机实时避障

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI: 10.1145/3474963.3474993

W. Guo, Xin Wang, Bo Jiao

{"title":"Real-time Obstacles Avoidance for Crawler Crane based on DQN","authors":"W. Guo, Xin Wang, Bo Jiao","doi":"10.1145/3474963.3474993","DOIUrl":"https://doi.org/10.1145/3474963.3474993","url":null,"abstract":"Safety always is a crucial consideration for crawler cranes running with dozens of tons of load in its work site. However, around its work site, besides static obstacles, there are many dynamic obstacles, such as workers and engineering vehicles. These obstacles are potential risk for crane in congested work site. Therefore, risk probability and loss can be reduced in project of lifting engineering by dynamic lift-path planning system. However, presently, most proposed methods pay attention to search path in totally known environment. In this paper, we present a dynamic obstacles avoidance planner for crawler cranes in no-walk scenarios in partially known environment. This planner considers the lifted module as a 3DOF convex robot with discrete rotational and translational motions. First, we improved the structure of neural network of Deep Q-network by applying Resnet block for achieving real-time path planning for crawler crane. Thereafter, we also improved Artificial Potential Field Method (APFM) and apply it to search path for lifted module. And for shortening training time, we also apply the data generated by APFM to pre-train our neural network. Finally, we verified and compared the performance of APFM and DQN by simulation. The result of simulation can demonstrate the effectiveness of the presented planner.","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":"121390087","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