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2018 5th NAFOSTED Conference on Information and Computer Science (NICS)最新文献

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An Ensemble of Shallow and Deep Learning Algorithms for Vietnamese Sentiment Analysis 越南语情感分析的浅层和深度学习算法集成
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606880
Hoang-Quan Nguyen, Quang-Uy Nguyen
{"title":"An Ensemble of Shallow and Deep Learning Algorithms for Vietnamese Sentiment Analysis","authors":"Hoang-Quan Nguyen, Quang-Uy Nguyen","doi":"10.1109/NICS.2018.8606880","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606880","url":null,"abstract":"Sentiment analysis also known as opinion mining refers to the use of natural language processing to systematically identify and categorize opinions expressed in a piece of text. Recently, deep learning with ensemble techniques has achieved state of the art results in sentiment analysis. However, this approach has not been studied for Vietnamese corpus. In this paper, we propose an ensemble method by combining traditional (shallow) and deep learning algorithms. We tested our method on three Vietnamese sentiment datasets. The Experimental results showed that these approaches improve the accuracy of sentiment classification when compared to both individual deep and shallow algorithms.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131522168","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: 9
Electroencephalography Analysis Using Neural Network 神经网络的脑电图分析
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606797
Vuong-Thuy-Ngan Nguyen, Van-Tuan Huynh, Thi-Hong-Hanh Nguyen
{"title":"Electroencephalography Analysis Using Neural Network","authors":"Vuong-Thuy-Ngan Nguyen, Van-Tuan Huynh, Thi-Hong-Hanh Nguyen","doi":"10.1109/NICS.2018.8606797","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606797","url":null,"abstract":"To gather information of human activities through brain wave - EEG (Electroencephalogram) signal, various algorithms have been introduced and researched relating to 3 main filters: digital filter, wavelet filter and neural network. By applying filters to identify some different states of EEG, this paper gives an insight of neural network performance, comparing with others, on simple activities of human brain. In details, researched human activities include states involving to eyes behavior, facial expression and thinking signal. The raw EEG signal has been acquired by Emotiv EPOC+and analyzed with Matlab. Furthermore, the comparison of algorithms efficiency has been done with Mean Square Error value and other parameters which demonstrate the possibility of using neural network to analyze EEG signal.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"34 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121008953","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: 2
Deep Learning for Aspect Detection on Vietnamese Reviews 越南语评论的深度学习方面检测
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606857
D. Thin, Duc-Vu Nguyen, Kiet Van Nguyen, N. Nguyen
{"title":"Deep Learning for Aspect Detection on Vietnamese Reviews","authors":"D. Thin, Duc-Vu Nguyen, Kiet Van Nguyen, N. Nguyen","doi":"10.1109/NICS.2018.8606857","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606857","url":null,"abstract":"In recent years, Aspect-based Sentiment Analysis (ABSA) has been extensively researched in various languages because it aims to detect the sentiment of each aspect of the text. The ABSA problem can be divided into three subtasks as follow: the aspect detection, Opinion Target Expression (OTE) and Sentiment Polarity. In this paper, we present a Convolutional Neural Network architecture for the aspect detection for Vietnamese. The aspect detection is to aim to identify of the entity E and attribute A pairs expressed in the text (Pontiki et al., 2016). The experimental results show the superiority of our model over the winning systems on datasets of the VLSP 2018 challenge for aspect detection task. Our method achieves the F1 score of 80.40% for the restaurant domain and 69.25% for the hotel domain.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"11 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818711","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: 14
Vietnamese Keyword Extraction Using Hybrid Deep Learning Methods 基于混合深度学习方法的越南语关键词提取
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606906
Bui Thanh Hung
{"title":"Vietnamese Keyword Extraction Using Hybrid Deep Learning Methods","authors":"Bui Thanh Hung","doi":"10.1109/NICS.2018.8606906","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606906","url":null,"abstract":"Keywords provide a short way of reflecting a main idea of the document, making it easier for the readers in reading. Extracting keyword is the main task in natural language processing. Since it is not only time consuming but also requires lots of efforts to extract the keywords manually, it arises the need for the automated approaches. This paper has proposed a solution for the automatic keyword extraction in Vietnamese language using hybrid deep learning approaches. Every existing deep learning approach has its own advantages; and the hybrid deep learning model we are introducing is the combination of the superior features of CNN and LSTM models. The proposed model shows enhanced accuracy and f1-score over another approach.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567792","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
Building mathematical models applied to UTXOs selection for objective transactions 建立应用于客观交易的utxo选择的数学模型
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606819
Van-Quang-Huy Nguyen, Hong-Son Trang, Quoc-Thinh Nguyen, Nguyen Huynh-Tuong, Thanh Le
{"title":"Building mathematical models applied to UTXOs selection for objective transactions","authors":"Van-Quang-Huy Nguyen, Hong-Son Trang, Quoc-Thinh Nguyen, Nguyen Huynh-Tuong, Thanh Le","doi":"10.1109/NICS.2018.8606819","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606819","url":null,"abstract":"In this paper, we propose novel mathematical models for effectively choosing a set of Unspent Transaction Outputs (UTXOs) in transaction-based blockchains in terms of two major objectives. The first one is to minimize the transaction size, as a result, minimize the transaction fee for miners paid by users. The second one is to shrink the UTXO set size that consequently reduces the searching space and computation overhead. Our proposed models are evaluated on real transactions collected from Bitcoin network and transactions generated by Highest Value First (HVF) and Lowest Value First (LVF) based approaches. The experimental results show that our proposed models gain better performance compared to other existing approaches.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204668","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: 2
NICS 2018 TOC
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/nics.2018.8606898
{"title":"NICS 2018 TOC","authors":"","doi":"10.1109/nics.2018.8606898","DOIUrl":"https://doi.org/10.1109/nics.2018.8606898","url":null,"abstract":"","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123343630","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
Machine learning based-distributed optimal control algorithm for multiple nonlinear agents with input constraints 基于机器学习的具有输入约束的多非线性智能体分布式最优控制算法
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606873
Luy Tan Nguyen, N. T. Dang, Dang Quang Minh, Tran Hong Vinh
{"title":"Machine learning based-distributed optimal control algorithm for multiple nonlinear agents with input constraints","authors":"Luy Tan Nguyen, N. T. Dang, Dang Quang Minh, Tran Hong Vinh","doi":"10.1109/NICS.2018.8606873","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606873","url":null,"abstract":"This paper utilizes the machine learning theory to propose an algorithm for solving the distributed optimal control of multiple nonlinear agents with saturating actuators. Unlike the existing algorithm based on an critic/actor/disturber framework with three neural networks (NNs) to approximate Hamilton-Jacobi-Isaac solution for each nonlinear agent, the algorithm in the paper is proposed with only one NN. It is shown that when the algorithm is executed online, the NN weight approximation errors and states are uniformly ultimately bounded (UUB) as well as the NN weights and optimal control policies are guaranteed to be converged to the approximately optimal values concurrently, and nonquadratic cost functions with constrained-inputs are minimized. To show the effectiveness of the proposed algorithm, simulations for multiple controlled Van der Pol oscillators are carried out and compared.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128966358","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: 2
NICS 2018 Message from the Chairs 2018年NICS主席致辞
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/nics.2018.8606796
{"title":"NICS 2018 Message from the Chairs","authors":"","doi":"10.1109/nics.2018.8606796","DOIUrl":"https://doi.org/10.1109/nics.2018.8606796","url":null,"abstract":"","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127504006","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
Semi-supervised Method with Spatial Weights based Possibilistic Fuzzy c-Means Clustering for Land-cover Classification 基于空间权重的半监督模糊c均值聚类方法在土地覆盖分类中的应用
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606801
D. Mai, L. Ngo
{"title":"Semi-supervised Method with Spatial Weights based Possibilistic Fuzzy c-Means Clustering for Land-cover Classification","authors":"D. Mai, L. Ngo","doi":"10.1109/NICS.2018.8606801","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606801","url":null,"abstract":"In remote sensing image analysis, the accuracy of the results depends not only on the accuracy of the image acquisition process but also on the segmentation and classification accuracy of the image. The fuzzy classification technique works by dividing the pixels of the image into sets of fuzzy clusters by iteratively optimizing the objective function to update the cluster membership and center centroid. This technique overcomes the disadvantages of hard clustering; However, this method is quite sensitive to interference and extraneous elements. In this paper, we propose a novel semi-supervised clustering method with spatial weights (SPFCM-W) for multi-spectral remote sensing image land-cover classification by the extension of the possibilistic fuzzy c-means (PFCM) algorithm, in which spatial weights of the pixels and labeled data are used to increase the accuracy of clustering results when the data structure of input patterns is non-spherical and complex. Results obtained on two kinds of multi-spectral remote sensing images (Landsat-7 ETM+, Sentinel-2A) by comparing the proposed technique with some variations of the fuzzy clustering algorithm demonstrate the good efficiency and high accuracy of the proposed method.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"85 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127433330","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
Polarity and the diachronic development of deontic modality in Chinese 汉语道义情态的极性与历时性发展
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606846
Barbara Meisterernst
{"title":"Polarity and the diachronic development of deontic modality in Chinese","authors":"Barbara Meisterernst","doi":"10.1109/NICS.2018.8606846","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606846","url":null,"abstract":"In this paper, first instantiations of deontic modality in Archaic Chinese (Early Archaic Chinese EAC, 10<sup>th</sup> – 6<sup>th</sup> c. BCE, and Late Archaic Chinese LAC, 5<sup>th</sup> – 2<sup>nd</sup> c. BCE) are at issue. Deontic expressions predominantly include synthetic modal negative markers and verbs of possibility in combination with negation and in rhetorical questions; i.e. they are closely related to polarity. In this brief study, a syntactic analysis of deontic modal readings mainly in LAC will be proposed. The discussion is inspired by Cormack and Smith (2002), who propose a polarity head, which distinguishes a Modal<inf>1</inf> connected to necessity readings and a Modal<inf>2</inf> connected to possibility readings.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124589086","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
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