Proceedings of the 10th International Conference on Computer Modeling and Simulation最新文献_第4页

Workflow for Developing High-Resolution 3D City Models in Korea 在韩国开发高分辨率3D城市模型的工作流程

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177505

Junghee Jo, Insung Jang

引用次数: 0

Automatic Knowledge Extraction for Aspect-based Sentiment Analysis of Customer Reviews 基于方面的客户评论情感分析的自动知识提取

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177462

Anh-Dung Vo, Quang-Phuoc Nguyen, Cheolyoung Ock

{"title":"Automatic Knowledge Extraction for Aspect-based Sentiment Analysis of Customer Reviews","authors":"Anh-Dung Vo, Quang-Phuoc Nguyen, Cheolyoung Ock","doi":"10.1145/3177457.3177462","DOIUrl":"https://doi.org/10.1145/3177457.3177462","url":null,"abstract":"It is challenging to figure out the most common appraisal of an online product since there are too many reviews about it uploaded on the internet. Several research methods using opinion mining in the context of the online reviews have been suggested to solve this issue. The existing research on opinion mining can be classified into three general levels: document-level, sentence-level, and aspect-level sentiment analysis. Aspect-based evaluation is the most meaningful application in opinion mining, and researchers are getting more interested in product aspect extraction; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces a method to automatically gain a knowledge-based system, which then is used to capture product aspects and corresponding opinions from a large number of product reviews in a specific domain. Our efforts tend to improve accuracy and the usefulness of review summaries by leveraging knowledge of product aspect extraction and provide both appropriate level of detail and richer representation capabilities.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"17 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125614184","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: 6

YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos YouTree:统计和文本相似视频的可视化范例

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177467

Dhanasekar Sundararaman, Vishwanath Seshagiri, Balaji Ramesh, Priya Arora

{"title":"YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos","authors":"Dhanasekar Sundararaman, Vishwanath Seshagiri, Balaji Ramesh, Priya Arora","doi":"10.1145/3177457.3177467","DOIUrl":"https://doi.org/10.1145/3177457.3177467","url":null,"abstract":"The rise of social media usage in the form of multimedia is on an exponential increase owing to the increased internet bandwidths in the recent past. As a result, people communicate in the form of videos and images a lot more than ever. One such video sharing and content developer platform is YouTube. YouTube has many features on video analytics in the form of recommendation systems, monetisation etc. It also offers many features for developers to evaluate their content and offers insights on the performance of their videos. Though these features are available, there is not even a single feature for developers to evaluate their content based on the performance of other's videos, which share the same nature of the content - the similarity between any two videos. Here, the similarity between two videos has a statistical measure apart from the content, which includes description and comments of a video. Thus, we propose an analysis of a query video and a range of videos to determine the most similar videos using statistical and textual similarity. The statistical similarity is evident from the number of derived features extracted from a video and the textual similarity is found by analysing the text data from the description and comments of a video. Experimental results show that the resultant similar videos are highly representative of both the statistical and textual similarity and can be used as a measure to compare two videos.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133462958","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

A Virtual Collaborative Simulation-based Training System 基于虚拟协同仿真的培训系统

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177494

P. Kwok, Bill K. P. Chan, H. Lau

{"title":"A Virtual Collaborative Simulation-based Training System","authors":"P. Kwok, Bill K. P. Chan, H. Lau","doi":"10.1145/3177457.3177494","DOIUrl":"https://doi.org/10.1145/3177457.3177494","url":null,"abstract":"Emergencies can occur at any location and time, so all stakeholders should get themselves prepared for providing emergency actions and responses. Such actions are especially important in sophisticated but vulnerable systems, e.g., mass transport systems, hospitals and power plants. Crichton and Flin [1] showed multiple examples that the performance of incident management teams in the initial stage of a crisis could affect the development of the incident. Therefore, regular training should be provided to the stakeholders, particularly the operators of the organisation, so that they can work together to deal with the emergencies effectively. Although conducting a drill in the real system may be the most direct way for stakeholders to practice their emergency response abilities, performing a drill usually requires many resources and a disruption of the real system. Therefore, this paper introduces an approach to conduct the drill in a virtual environment. It proposes a virtual collaborative simulation-based training system with an aim to improve the emergency management ability of the staff in sophisticated but vulnerable systems. There are four major advantages of the proposed system: 1). It is off-line from the real system so that there is no space or time constraint to carry out the training. 2). It requires fewer physical resources to carry out the training, which makes the training much cost-effective. 3.) The managers, as well as the operators, can have a better understanding of the real operations by looking at the 3D simulation model. 4.) It provides flexibility to train the operators in various hypothetical scenarios, including some rarely occurred ones. To better illustrate the ideas, this paper takes the mass transport system as an example. However, it should be stressed that the proposed system can be applied to other areas like exhibition centres, emergency rooms of the hospitals and nuclear plants.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130540544","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: 7

A Smart IoT-Based Irrigation System with Automated Plant Recognition using Deep Learning 基于物联网的智能灌溉系统，使用深度学习实现植物自动识别

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177506

Jessica Kwok, Yu Sun

引用次数: 26

Research on Application Mode of Integrated Simulation in Power System Operation 综合仿真在电力系统运行中的应用模式研究

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3191711

Jia Xue, Xiangzhou Chen, Huixia Ding, Huanhuan Xu

引用次数: 0

Linearized Longitudinal Dynamic Model for Tractor Cruise Control System 拖拉机巡航控制系统线性化纵向动力学模型

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177493

Zhixiang Liu, Zhuo Wang, X. Bai, Lei Gao

引用次数: 4

Analysis Noise Vibration of the Gearboxes using Mathematical Models 用数学模型分析齿轮箱噪声振动

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177491

C. H. Phi, T. Hoàng, T. T. Tung

引用次数: 2

A comparison between discrete analysis and a multiphase approach for predicting heat conduction in packed beds 离散分析与多相法预测充填床热传导的比较

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177497

Edoardo Copertaro, A. Donoso, B. Peters

{"title":"A comparison between discrete analysis and a multiphase approach for predicting heat conduction in packed beds","authors":"Edoardo Copertaro, A. Donoso, B. Peters","doi":"10.1145/3177457.3177497","DOIUrl":"https://doi.org/10.1145/3177457.3177497","url":null,"abstract":"The Discrete Element Method (DEM) is a Lagrangian approach initially developed for predicting particles flow. The eXtended Discrete Element Method (XDEM) framework, developed at the LuXDEM Research Centre of the University of Luxembourg, extends DEM by including the thermochemical state of particles, as well as their interaction with a Computational Fluid Dynamics (CFD) domain. The level of detail of its predictions makes the XDEM suite a powerful tool for predicting complex industrial processes like steel making, powder metallurgy and additive manufacturing. Like in any other DEM software, the critical aspect of the simulations is the computation requirement that grows rapidly as the number of particles increases. Indeed, such burden currently represents the main bottleneck to its full exploitation in large-scale scenarios. Digital Twin, a research project founded by the European Regional Development Fund (ERDF), aims at drastically accelerate XDEM through different approaches and make it an effective tool for numerical predictions in industry as well as virtual prototyping. The Multiphase Particle-In-Cell (MP-PIC) method has been introduced for reducing the computation burden of DEM. It has been initially developed for predicting particles flow and uses a two-way transfer of information between the Lagrangian entities and a computation grid. The method avoids explicit contact detection and can potentially achieve a drastic reduction of the time-to-solution respect to DEM. The present contribution introduces a multiphase approach for predicting the conductive heat transfer within a static packed bed of particles. Results from a test case are qualitatively and quantitatively compared against reference XDEM predictions. The method can be effectively exploited in combination with MP-PIC for predicting the thermochemical state of particles.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128121477","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

Methods of Pornography Detection: Review 色情检测方法综述

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177484

Sasan Karamizadeh, Abouzar Arabsorkhi

引用次数: 13