发布求助
文献互助 智能选刊 最新文献

2020 7th NAFOSTED Conference on Information and Computer Science (NICS)最新文献

筛选
英文 中文
Vision-based Navigation for Autonomous Landing System 基于视觉的自主着陆系统导航
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335860
Hong-Phuoc Nguyen, D. Ngo, Vu-Thanh-Long Duong, Xuan-Tinh Tran
{"title":"Vision-based Navigation for Autonomous Landing System","authors":"Hong-Phuoc Nguyen, D. Ngo, Vu-Thanh-Long Duong, Xuan-Tinh Tran","doi":"10.1109/NICS51282.2020.9335860","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335860","url":null,"abstract":"In this paper, autonomous landing system for unmanned air vehicles (UAVs) based on visual navigation is presented. Two main problems are given with proposed solutions, including autonomous landing system architecture based on Robot Operating System (ROS) and vision algorithm for realtime landing platform detection and pose estimation. Our system was fully implemented on on-board computer and monocular camera equipped on UAVs. Gazebo Simulator with Iris quad-copter model was used for rapidly testing about vision-based and control algorithm. Also, a series of autonomous flight tests are successfully performed for common scenarios with static and moving targets. Obtained results will be verified via normal flight sensors for guaranteeing qualities of our autonomous landing system.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123856251","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
Integrating AMR to Neural Machine Translation using Graph Attention Networks 利用图注意网络将AMR集成到神经机器翻译中
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335896
Long H. B. Nguyen, Viet H. Pham, D. Dinh
{"title":"Integrating AMR to Neural Machine Translation using Graph Attention Networks","authors":"Long H. B. Nguyen, Viet H. Pham, D. Dinh","doi":"10.1109/NICS51282.2020.9335896","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335896","url":null,"abstract":"Semantic representation is potentially useful to enforce meaning preservation and improve generalization performance of machine translation methods. In this paper, we incorporate semantic information from Abstract Meaning Representation (AMR) semantic graphs into neural machine translation. First, we use Graph Attention Networks (GATs) to encode the AMR graphs into a vector space. Then, we propose an effective way to integrate the semantic representation to the attention-encoder-decoder translation model. The experimental results show the improvements in BLEU scores over the baseline method on the English-Vietnamese language pair.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123959291","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
Predicting Next Purchase Item on JXM Game by K-Means Clustering and ARIMAX Model 基于k -均值聚类和ARIMAX模型的JXM游戏下一个购买项目预测
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335839
Thien Nguyen, Thanh Le, Bac Le
{"title":"Predicting Next Purchase Item on JXM Game by K-Means Clustering and ARIMAX Model","authors":"Thien Nguyen, Thanh Le, Bac Le","doi":"10.1109/NICS51282.2020.9335839","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335839","url":null,"abstract":"This paper is instructions for how to predict 5 next purchase items in “Vo Lam Truyen Ky Mobile” (JXM) which is a VNG's hot game. It's so hard to predict the next purchase item with a massive number of transactions per day. So, we analysed data to establish the solution to this problem. The solution make a prediction based on the past purchasing and in-game data with K-Means Clustering and ARIMAX model reaching accuracy about 70 percent. The research result can help to recommend items fit with users, improve user experience and may increase revenue.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124407414","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
Understanding Learning Behaviours in Sorting Algorithm Game 了解排序算法游戏中的学习行为
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335875
A. Yohannis, Paramaresthi Windriyani, Henri Septanto
{"title":"Understanding Learning Behaviours in Sorting Algorithm Game","authors":"A. Yohannis, Paramaresthi Windriyani, Henri Septanto","doi":"10.1109/NICS51282.2020.9335875","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335875","url":null,"abstract":"Based on our previous work, our gamification of sorting algorithm learning has been able to support learners to produce better learning outcomes if we compare them to the performance when they learn only in a traditional way - using textbooks. However, the finding does not reveal any specific explanation of how the result could happen. In this research, we make an effort to identify several learning behaviours and examine to what extent they can lead learners to successful learning outcomes. Therefore, we extract several variables as the representation of the learning behaviours and outcomes from the event logs. We calculate the correlations between the variables and identify that: allocating efforts on understanding the algorithms didactically, paying attention to the demo or illustration, spending more time playing, and exerting more attempts to complete the levels correlate significantly and positively with varying magnitudes to the completeness and number of completing the levels.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387156","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
Vietnamese Context-Sensitive Malicious Spelling Error Correction 越南文上下文敏感的恶意拼写错误纠正
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335909
L. Nguyen, Ban Phuoc Dao, Duc-Vu Nguyen, N. Nguyen
{"title":"Vietnamese Context-Sensitive Malicious Spelling Error Correction","authors":"L. Nguyen, Ban Phuoc Dao, Duc-Vu Nguyen, N. Nguyen","doi":"10.1109/NICS51282.2020.9335909","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335909","url":null,"abstract":"Spelling errors targeting specific keywords that users intentionally generate has seriously degraded the performance of social media control systems. In this paper, we show the severe effect of those misspellings and propose using a spelling correction approach for those targeted words based on context called word embedding. The data that we use within the limits of our work are Vietnamese spam email and hate speech. Also, we introduce a new and effective way to extract real misspellings to create reasonably synthetic data provided for our experiments. Our correction system results in a favorable performance on both synthetic and real data compared to Google.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114131782","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
SRGAN with Total Variation Loss in Face Super-Resolution 基于全变异损失的人脸超分辨SRGAN
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335836
Hai Nguyen-Truong, Khoa Nguyen, San Cao
{"title":"SRGAN with Total Variation Loss in Face Super-Resolution","authors":"Hai Nguyen-Truong, Khoa Nguyen, San Cao","doi":"10.1109/NICS51282.2020.9335836","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335836","url":null,"abstract":"Facial image super-resolution is a crucial preprocessing for facial image analysis, face recognition, and image-based 3D face reconstruction. Convolutional neural networks were earlier used to produce high-resolution images that train quicker and shown excellent performance by learning mapping relation using pairs of low-resolution and high-resolution images. However, in some cases, they are incapable of recovering finer details and often generate blurry images. In this paper, we evaluate a method of applying Generative adversarial networks in generating realistic super-resolution images from low-resolution ones by using three typical losses for super-resolution: Content Loss, Adversarial Loss, Perceptual Loss, and proposed to use Total Variation Loss. We try different pre-trained famous Convolutional neural networks models (VGG19, FaceNet, and EfficientNet) in Perceptual Loss to have a general view with different backbones. Our network gains 32.67 of Peak signal-to-noise ratio (PSNR) and 0.89 of Structural similarity index (SSIM) in 100 random samples from the Flickr-Faces-HQ dataset.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"456 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132977443","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
Development of Warning and Predicting System for Quality of Air in Smart Cities Using RNN 基于RNN的智慧城市空气质量预警预测系统的开发
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335901
P. N. Huu, H. Tuan, Hiep Le Ngoc
{"title":"Development of Warning and Predicting System for Quality of Air in Smart Cities Using RNN","authors":"P. N. Huu, H. Tuan, Hiep Le Ngoc","doi":"10.1109/NICS51282.2020.9335901","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335901","url":null,"abstract":"In this paper, we propose to build an intelligent air quality warning and prediction system for smart cities. The system will automatically provide information of temperature, humidity, dust concentration, and UV rays in defined areas. The system includes two parts, namely sensor and communication blocks. Sensor block will collect information and transfer to the server that performs to forecast and display the parameters (temperature, humidity, dust concentration, and UV rays). In communication block, the data is transmitted by SIM module to website to provide information and warn to the user if finding any problems. In our system, we use recurrent neural network (RNN) to forecast the change of the parameters. The results show that the proposal system improves the accuracy above 90% comparing to real system.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124862202","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
Keynote Talk #2: Multimodal Data Analysis with Applications in Imaging Genomics 主题演讲#2:多模态数据分析及其在成像基因组学中的应用
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335898
M. Do
{"title":"Keynote Talk #2: Multimodal Data Analysis with Applications in Imaging Genomics","authors":"M. Do","doi":"10.1109/NICS51282.2020.9335898","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335898","url":null,"abstract":"Multi-modality matched datasets in healthcare capture information about the disease of the same patient from multiple views, often at different physical scales, thereby providing a more complete picture of complex diseases like cancer. We present a novel extension of the canonical correlation analysis (CCA) framework that takes into account underlying dependencies within individual modalities to better capture correlations between two modalities. We demonstrate the utility of the resulting embedding space as a fusion module in survival prediction for breast cancer patients using histology imaging and genomics data.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494971","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 Pose Estimation Method for Multiple Identity Cards based on Corner Heatmaps and Part Affinity Fields 基于角热图和部分关联场的多身份证姿态估计方法
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335869
Tran Phuong Nam, D. V. Sang
{"title":"A Pose Estimation Method for Multiple Identity Cards based on Corner Heatmaps and Part Affinity Fields","authors":"Tran Phuong Nam, D. V. Sang","doi":"10.1109/NICS51282.2020.9335869","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335869","url":null,"abstract":"Automatic information extraction from identity cards is crucial in many applications such as eKYC, customer registration, and profile digitalization. Identity card detection and normalization are crucial steps before further information extraction. In practice, many identity cards of different types with both front and back sides may appear in an image or on the same page of a profile. This paper proposes a method to estimate the pose of multiple identity cards and classify the card into four categories: front/back sides of new/old identity cards. Particularly, we propose an EfficientNet-based model to detect the corners in an anchor-free manner and estimate the edges of identity cards using part affinity fields (PAF). According to the estimated PAF, the detected corners are then grouped in clusters, each of which corresponds to a single identity card. Experimental results show that our method yields promising results on our private dataset. We achieve a realtime speed of 24 fps on a machine with NVIDIA GPU GTX 1080 Ti.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129471249","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
VQASTO: Visual Question Answering System for Action Surveillance based on Task Ontology VQASTO:基于任务本体的动作监视可视化问答系统
2020 7th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2020-11-26 DOI: 10.1109/NICS51282.2020.9335891
Huy Q. Vo, Tien-Hao Phung, N. Ly
{"title":"VQASTO: Visual Question Answering System for Action Surveillance based on Task Ontology","authors":"Huy Q. Vo, Tien-Hao Phung, N. Ly","doi":"10.1109/NICS51282.2020.9335891","DOIUrl":"https://doi.org/10.1109/NICS51282.2020.9335891","url":null,"abstract":"Question answering (QA) is a popular research topic for its applications in reality. In advance, there are Visual Question Answering (VQA) researches that aim to combine visual and textual information for question answering. Their drawback is the dependence of learning models, which impedes human intervention and interpretation. To the best of our knowledge, most of them concentrate on the general problem or some specific contexts but no one puts the QA system under action surveillance context. In this paper, we propose a QA system based on Task Ontology which is mainly responsible for mapping from a question sentence to corresponding tasks carried out to reach the appropriate answer. The advantages of task ontology are the adoption of human knowledge to solve a specific problem and the reusability. The performance of the system thus heavily depends on subtasks/models. In our scope, we focus on two main subtasks: Pose estimation/tracking and Skeleton-based action recognition. Besides, we give some enhancements to improve the time efficiency of Pose estimation/tracking and propose a new spatial-temporal feature based on drawing skeleton sequence to image for skeleton-based action recognition of videos in the wild. This method, to some extent, can overcome the challenge of bad-shape pose/skeleton produced by Pose estimation on real-world videos. The hard part of Action recognition in VQASTO is that it has to get input from Pose estimation and Pose tracking which is markedly different from having available good skeletons and merely do recognition.","PeriodicalId":308944,"journal":{"name":"2020 7th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117278250","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信