2020 12th International Conference on Knowledge and Systems Engineering (KSE)最新文献

Build a search engine for the knowledge of the course about Introduction to Programming based on ontology Rela-model 构建基于本体关联模型的《程序设计导论》课程知识搜索引擎

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287775

Xuan-Thien Pham, Tuan-Vi Tran, Van-Thanh Nguyen-Le, Vuong T. Pham, H. Nguyen

引用次数: 6

A new similarity measure of IFSs and its applications 一种新的ifs相似性度量方法及其应用

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287689

Tran Due Quynh, N. X. Thao, N. Thuan, Neuven Van Dinh

引用次数: 4

An agent-based model for mixed traffic in Vietnam based on virtual local lanes 基于虚拟本地车道的越南混合交通代理模型

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287400

Tu Dang-Huu, B. Gaudou, Doanh Nguyen-Ngoc, N. C. Lê

{"title":"An agent-based model for mixed traffic in Vietnam based on virtual local lanes","authors":"Tu Dang-Huu, B. Gaudou, Doanh Nguyen-Ngoc, N. C. Lê","doi":"10.1109/KSE50997.2020.9287400","DOIUrl":"https://doi.org/10.1109/KSE50997.2020.9287400","url":null,"abstract":"The rapid urbanization and urban spread in developing countries create a huge number of challenges urban planners have to face. As an example, congestion has become a major issue in Vietnam and caused huge economic losses as well as an increase in air pollutant emissions. Tackling such an issue requires huge improvements in the city organization and infrastructure. Choosing the most appropriate solution among existing ones or imagining new ones require tools to understand their impact and assess their feasibility, effectiveness and acceptability. Computer simulation is a tool of choice to assess the interactions between dynamics at both macro-level (the city) or micro-level (a single road or a crossroad). Existing tools have nevertheless mainly been designed for cities with traffic dominated by cars that are supposed to respect regulations. These assumptions cannot be applied to traffic in Vietnam which is characterized by a mix of cars, motorbikes and other vehicle types and low respect of road lanes. This paper proposes an agent-based model simulating in a more realistic way the traffic in Vietnam using the GAMA platform. We illustrate its capabilities on two characteristic toy case studies (straight road and crossroad) and a real case study in rush hour and lower traffic situations.","PeriodicalId":275683,"journal":{"name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133172456","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

Abstractive Sentence Summarization with Encoder-Convolutional Neural Networks 基于编码器-卷积神经网络的抽象句子摘要

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287809

Toi Nguyen, Toai Le, Nhi-Thao Tran

引用次数: 0

An approach for semantic-based searching in learning resources 一种基于语义的学习资源搜索方法

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287798

Tran Thanh Dien, Le Van Trung, Nguyen Thai-Nghe

{"title":"An approach for semantic-based searching in learning resources","authors":"Tran Thanh Dien, Le Van Trung, Nguyen Thai-Nghe","doi":"10.1109/KSE50997.2020.9287798","DOIUrl":"https://doi.org/10.1109/KSE50997.2020.9287798","url":null,"abstract":"Currently, online learning has been widely applied in education and training. Especially, when it is difficult for lecturers and learners to get close to each other in the context of Covid-19 epidemic period, online learning shows its availability and necessary. Learning materials provided in the educational institutions are diverse; almost lectures are stored as files but have not been totally arranged in a standard database system. Therefore, searching information about curriculum and lectures still face difficulties. This paper proposes a solution for semantic-based searching in learning resources. Firstly, ontologies are built to represent information of lectures. When users enter a query, the system pre-processes it (e.g., word segmentation, removing stop words), and then provides it to classifier (e.g., SVM) to identify the corresponding domain (or topic), aiming to narrow the search space in the ontology. After classifying, the key phrases will be queried in the appropriate ontology to result in related lectures. Experiments on lectures in the domains of information technology show that the proposed model is feasible.","PeriodicalId":275683,"journal":{"name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158440","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

Disease subtyping using community detection from consensus networks 从共识网络中使用社区检测进行疾病分型

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287843

Hung Nguyen, Bang Tran, Duc Tran, Quang-Huy Nguyen, Duc-Hau Le, Tin Nguyen

引用次数: 3

iK-means: an improvement of the iterative k-means partitioning algorithm k-means:迭代k-means划分算法的改进

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287221

Thu Kim Le, L. Vinh, Dong Do Due, Bui Ngoc Thang, Thao Thi Phuong Nguyen

{"title":"iK-means: an improvement of the iterative k-means partitioning algorithm","authors":"Thu Kim Le, L. Vinh, Dong Do Due, Bui Ngoc Thang, Thao Thi Phuong Nguyen","doi":"10.1109/KSE50997.2020.9287221","DOIUrl":"https://doi.org/10.1109/KSE50997.2020.9287221","url":null,"abstract":"The evolutionary processes vary among sites of an alignment that strongly affect the accuracy of phylogenetic tree reconstruction. Partitioning an alignment into sub-alignments of sites such that the evolutionary processes at sites in the same sub-alignment are highly similar is a proper strategy. Gene features might be used as reasonable indicators to partition an alignment. However, the gene feature information is not always available or efficient Computational partitioning methods like iterative k-means has been proposed to automatically partition sites into groups based on the similarity of evolutionary rates of sites. Despite obtaining compelling results in terms of AICc and BIC measurements, the k-means method forms a group of all and only invariant sites that results in bias/wrong phylogenetic trees. In this paper, we improve the k-means algorithm by re-classifying invariant sites into different sub-alignments based on their likelihood values. Experimental results on simulated and empirical DNA datasets showed that the new method, called iK-means, overcame the pitfall of the K-means method, consequently, helps improve the quality of the partitioning sub-alignments. We recommend using the iK-means method to level up the accuracy in inferring phylogenetic trees.","PeriodicalId":275683,"journal":{"name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116415529","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

IoT Malware Detection based on Latent Representation 基于潜在表示的物联网恶意软件检测

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287373

C. N. Van, V. Phan, Cao Van Loi, Khanh Duy Tung Nguyen

引用次数: 0

Rotat3D: A Knowledge Graph Embedding using Relational Rotation in 3D Vector Space Rotat3D:在三维向量空间中使用关系旋转的知识图嵌入

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287591

Quan Dang, An Mai, M. Ngo, Thanh Bui

引用次数: 1

Node-aware convolution in Graph Neural Networks for Predicting molecular properties 基于节点感知卷积的图神经网络预测分子性质

2020 12th International Conference on Knowledge and Systems Engineering (KSE) Pub Date : 2020-11-12 DOI: 10.1109/KSE50997.2020.9287744

Linh Le Pham Van, Q. Tran, T. Pham, Quoc Long Tran

引用次数: 0