Proceedings of the 2020 12th International Conference on Computer and Automation Engineering最新文献

Intent Sets: Architectural Choices for Building Practical Chatbots 意图集:构建实用聊天机器人的架构选择

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384639

S. Srivastava, T. Prabhakar

引用次数: 5

Object-based Place Recognition for Mobile Robots using Laplace's Rule of Succession 基于拉普拉斯连续规则的移动机器人位置识别

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384651

Jung-Hyun Oh, Heung-Jae Lee

引用次数: 1

Research on Optimization Method for Enhancing Night Surveillance Image Based on Fusion of Infrared and Visible Light Image 基于红外与可见光图像融合的夜间监控图像增强优化方法研究

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384644

Guobing Sun, Yongsheng Qiu, Shengchun Sui

引用次数: 0

A Vision-based Slow-Fast Target-Positioning Framework for Person-Following 基于视觉的人跟踪慢速目标定位框架

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384632

Wozhou He, Yaodong Zhang, Jian Yuan

引用次数: 0

Review On Sentiment Analysis of Twitter Posts About News Headlines Using Machine Learning Approaches and Naïve Bayes Classifier 使用机器学习方法和Naïve贝叶斯分类器对Twitter上关于新闻标题的帖子进行情感分析综述

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384650

Thinesharan Vaseeharan, A. Aponso

引用次数: 3

Color Naming for Describing Object in Image using Different Classification Algorithms and Color Spaces 利用不同的分类算法和颜色空间描述图像中物体的颜色命名

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384622

J. Sainui, Mananya Tongsamrit

引用次数: 1

Electronic Nose for detecting Acetone as a Potential Precursor in Triacetone Triperoxide (TATP)-based Improvised Explosive Devices (IEDs) 基于三过氧化三丙酮(TATP)的简易爆炸装置(ied)中丙酮潜在前体的电子鼻检测

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384625

A. Yumang, A. Paglinawan, J. Andres, Renz Jerome De Leon, Jon Christian Dela Cruz, Christian Kyle Floresta

{"title":"Electronic Nose for detecting Acetone as a Potential Precursor in Triacetone Triperoxide (TATP)-based Improvised Explosive Devices (IEDs)","authors":"A. Yumang, A. Paglinawan, J. Andres, Renz Jerome De Leon, Jon Christian Dela Cruz, Christian Kyle Floresta","doi":"10.1145/3384613.3384625","DOIUrl":"https://doi.org/10.1145/3384613.3384625","url":null,"abstract":"The paper aims to fabricate an electronic nose for detecting volatile organic compounds (VOCs) emitted by acetone as a potential precursor of Triacetone Triperoxide (TATP) using Artificial Neural Network (ANN) and Principal Component Analysis (PCA). Specifically, it aims to build an array of sensors aided with Raspberry Pi and Python programming language to implement the necessary algorithms, together with the documentation of gathered information to conclude the effectiveness of the system. ANN is used for pattern recognition and classification, while PCA is for feature reduction and extraction. Sensors are selected by PCA through dimension reduction of signals obtained, which resulted to sensors MQ8, MQ136, MQ7 having the highest retained information of 83.07%, 8.79% and 7.27%. The classifier was trained by feeding acetone with varying concentrations from 5% to 100% with their corresponding expected classifications that resulted to 0.02% of training error. Using a Confusion matrix, accuracy was determined which assesses the classification between the E-nose and expected classification of commercial products. This study concludes that the fabrication of E-nose with PCA and ANN algorithms produces promising results of classifying acetone as a potential TATP precursor, with an overall accuracy of 87.88%.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"33 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133171073","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

Finding Outstanding Solutions for Multi-objective Optimization Problems 寻找多目标优化问题的杰出解

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384623

Supoj Choachaicharoenkul, N. Wattanapongsakorn

引用次数: 1

A Novel Multi-period Multivariate Multi-scale Phase Locking Value and its Application 一种新的多周期多尺度锁相值及其应用

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384637

Mingan Li, Lin Nan, Yu-xin Dong

{"title":"A Novel Multi-period Multivariate Multi-scale Phase Locking Value and its Application","authors":"Mingan Li, Lin Nan, Yu-xin Dong","doi":"10.1145/3384613.3384637","DOIUrl":"https://doi.org/10.1145/3384613.3384637","url":null,"abstract":"Motor Imagery EEG or ECoG is the most popular driving signal in brain computer interface based rehabilitation system. Empirical Mode Decomposition (EMD) can be employed in feature extraction, which only a single scale IMF is considered by using Phase Locking Value (PLV), leading to the loss of phase information. In this paper, a Multi-period Multivariate Multi-scale PLV (MMMPLV) is proposed based on Noise-Assisted Multivariate EMD (NAMEMD). The selected multi-channel MI-ECoG are decomposed simultaneously by NAMEMD to obtain the multivariate multi-scale IMFs, and their length are divided into many periods. Then the PLV of pair-wise IMFs at the same scale are calculated in each time period for any two-channel MI-ECoG signals. The resulted MMMPLV are constructed as phase features. Furthermore, the phase features generated by MMMPLV and the spatial features extracted by Common Spatial Subspace Decomposition (CSSD) algorithm are fused in series, yielding a new feature extraction method, denoted as MMMPC. Experiments were conducted on a public database, and the Support Vector Machine (SVM) is used to classify the combined features. The experiment results of 9-fold Cross Validation (CV) show that the proposed method yields relative higher classification accuracy and better stability compared with the other synchronization methods and classical feature extraction methods.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129530878","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

Far-field Speech-controlled Smart Classroom with Natural Language Processing built under KNX Standard for Appliance Control 基于KNX设备控制标准的自然语言处理远场语音控制智能教室

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384627

A. Yumang, Melanie G. Abando, Elijah Paul M. de Dios

{"title":"Far-field Speech-controlled Smart Classroom with Natural Language Processing built under KNX Standard for Appliance Control","authors":"A. Yumang, Melanie G. Abando, Elijah Paul M. de Dios","doi":"10.1145/3384613.3384627","DOIUrl":"https://doi.org/10.1145/3384613.3384627","url":null,"abstract":"As the world continues to embark on its era of innovation, recent technological advancements easily become integrated into people's everyday living. With the establishing premise of artificial intelligence (AI) on the horizon, technology becomes increasingly transparent to its users (termed as ambient technology) in an attempt to mimic human nature when handling complex processes and delivering efficient results. In spite of this, majority of research on voice user interfaces (VUIs) have been partial to the benefit of people with disabilities. This study overwhelms this limitation as the implementation of a VUI in a smart classroom is achieved for the purposes of ambient technology. The main objective of this study is to develop a far-field speech-controlled smart classroom with natural language processing (NLP) built under KNX standard for appliance control. Using NLP techniques such as shallow parsing and Naïve Bayes classification, the researchers were able to write their own API in Python for a VUI codenamed Luna. From the experiment conducted in this study, Luna was able to obtain a confusion matrix (CM) accuracy of 95.56% with the implementation of the Naïve Bayes classifier alongside the shallow parser.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"16 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131699437","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