Proceedings of the 2020 12th International Conference on Computer and Automation Engineering最新文献_第4页

Advanced Encryption Standard New Instructions (AES-NI) Analysis: Security, Performance, and Power Consumption 高级加密标准新指令(AES-NI)分析:安全性、性能和功耗

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384648

Eslam G. AbdAllah, Y. Kuang, Changcheng Huang

引用次数: 5

The Prediction of Stock Index Movements Based on Machine Learning 基于机器学习的股指走势预测

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384615

Sanbo Wang

引用次数: 1

Holy Basil Curl Leaf Disease Classification using Edge Detection and Machine Learning 基于边缘检测和机器学习的罗勒卷曲叶病分类

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384634

Pikulkaew Tangtisanon, Suttipong Kornrapat

{"title":"Holy Basil Curl Leaf Disease Classification using Edge Detection and Machine Learning","authors":"Pikulkaew Tangtisanon, Suttipong Kornrapat","doi":"10.1145/3384613.3384634","DOIUrl":"https://doi.org/10.1145/3384613.3384634","url":null,"abstract":"Holy basil (Ocimum basilicum L.) is one of the most vital economic crops that has a significant impact on export earnings. However, the holy basil prices could be dropped due to a curl leaf disease caused by pests. Several previous studies focused on plant leaf disease detection based on the leaf color. Unfortunately, the leaf curl disease sometimes changes a shape of the leaf not the color so it cannot be detected with those schemes. We proposed a novel approach aims to automatically detect a curling leaf on holy basil. This paper presents a Neural Network (NN) model and Logistic Regression (LR) model to automatically detect a curling leaf on holy basil. To be able to detect the infected one not by colors but by its shape, we have applied edge detection algorithms which are Canny and Sobel model. To speed up processing time, images were resized and converted to grayscale before passing them to machine learning models. Moreover, NN and LR were modified with mini-batch technique in order to increase the speed of the processing time. The dataset contains 600 images of holy basil leaves with 300 images of healthy leaves and 300 images of infected leaves. The experimental results indicate that the proposed method effectively detects the curling leaves on holy basil.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"31 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":"115340527","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: 5

Exploring Factors Affecting User's Cybersecurity Behaviour by Using Mobile Augmented Reality App (CybAR) 利用移动增强现实App (CybAR)探索用户网络安全行为影响因素

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384629

Hamed Alqahtani, Manolya Kavakli-Thorne

{"title":"Exploring Factors Affecting User's Cybersecurity Behaviour by Using Mobile Augmented Reality App (CybAR)","authors":"Hamed Alqahtani, Manolya Kavakli-Thorne","doi":"10.1145/3384613.3384629","DOIUrl":"https://doi.org/10.1145/3384613.3384629","url":null,"abstract":"In the field of cybersecurity, human behaviour is considered as the weakest link. Augmented Reality (AR) is one of top technologies that enhances users' experience by overlaying computational information into their reality. In spite of wide range of AR applications in different fields, there exists no AR application that helps to educate users and raise their awareness in cybersecurity aspects. In this paper, authors explore and apply gamification techniques to educate the users with the aim of raising overall cybersecurity awareness by developing a game based on AR techniques as an Android app called named CybAR. This work contributes in identification of the key elements that must be addressed in the AR game for helping the users to prevent cybersecurity attacks using Technology Threat Avoidance Theory (TTAT). TTAT enables the explanation of the engagement of individual users in threat avoidance behaviours and provides a framework at the user level. The paper also highlights the individual' differences that affect cybersecurity avoidance motivation and avoidance behaviour.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"58 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":"132438016","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: 5

A Development of Microcontroller Based LED Sunphotometer with Sun-tracking System for Measuring Aerosol Optical Depth 基于单片机的带太阳跟踪系统的气溶胶光学深度测量LED太阳光度计的研制

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384636

Arianne Celine S. Abesamis, Maricar M. Abrigonda, Edward Ern P. Privado, J. Villaverde, E. Macalalad

{"title":"A Development of Microcontroller Based LED Sunphotometer with Sun-tracking System for Measuring Aerosol Optical Depth","authors":"Arianne Celine S. Abesamis, Maricar M. Abrigonda, Edward Ern P. Privado, J. Villaverde, E. Macalalad","doi":"10.1145/3384613.3384636","DOIUrl":"https://doi.org/10.1145/3384613.3384636","url":null,"abstract":"Aerosol Optical Properties is important for earth's surface. Aerosols can affect the earth's surface depending on its chemical and physical properties. These can be by scattering and absorption process. The goal of this research is to develop a simple and portable system that can measure aerosol optical properties in the atmosphere. This research will be used for air pollution monitoring in the Philippines. The people involved in air pollution research may use the data gathered from this device especially the aerosol optical properties. The research focuses on developing a five-channel LED-based sunphotometer to measure direct sunlight at specific wavelength bands. Also, a microcontroller-based data acquisition will be developed for the sunphotometer. There will be a tracking system that can point the sunphotometer directly to the sun. With the use of Langley method, the researchers will be able to calibrate the LED sunphotometer. Correlation of data was done with the data of sunphotometer with ground-based systems. The aerosol optical depth data is collected using the device and other surface-based sunphotometers. The researchers got 0.75 which means high correlation. The aerosol optical properties using LED channel sunphotometer is comparable to the commercially available sunphotometer.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"44 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":"132872677","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 spatial-temporal framework including traffic diffusion for short-term traffic prediction 短期交通预测的包括交通扩散的时空框架

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384631

Xuefang Zhao, Dapeng Zhang, Kai Zhang

引用次数: 1

Enhancing aspects of Thai chief complaint classification Performance 提高泰国主诉分类绩效的各个方面

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384630

Jarunee Duangsuwan, Pawin Saeku, Somsri Jarupadung

{"title":"Enhancing aspects of Thai chief complaint classification Performance","authors":"Jarunee Duangsuwan, Pawin Saeku, Somsri Jarupadung","doi":"10.1145/3384613.3384630","DOIUrl":"https://doi.org/10.1145/3384613.3384630","url":null,"abstract":"In this paper, we describe the aspects affecting in our experimental results of classifying Thai chief complaint (ThCC) into ICD-10 code. By merging our proposed Thai word separator to machine learning-based classifiers, ThCC have been converted into ICD-10 code which stands for International Classification of Diseases, Tenth Revision, and is a standard code used by physicians and other healthcare professionals to identify all diagnoses, signs and symptoms. At the beginning of experiments, the dataset from the sign and symptom description ranged in group R00 to R69 of ICD-10 have been used for training the classifiers. Subsequently the classifiers have been applied to the test dataset represented by 150 chief complaint cases in order to assign the related ICD-10 codes, and to evaluate classification accuracy. The experiment achieves 85% precision, 76% F1-measure, and 71% recall using our proposed Thai word separator with Classification and Regression Trees (CART) technique. However, we need to increase the precision which is strong enough to support our proposed separator. The additional experiment has been done by adding 50 chief complaint cases to the test dataset. We also have applied our proposed techniques including conflict element finding and classification criteria setting to improve the precision. Consequently, the later experimental results get higher classification accuracy by decreasing the false positives to mitigate the low recall problem.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"2012 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":"125652104","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

Modeling and Implementation of Serial-Parallel-Switched-Capacitor Coupled-Inductor DC-AC Inverter 串并联开关电容耦合电感直流-交流逆变器的建模与实现

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384616

Yuen-Haw Chang, Zheng-Bin Li

引用次数: 0

Design and Implementation of multi-dimensional History Playback System Based on IoT Data 基于物联网数据的多维历史回放系统设计与实现

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384643

Zhengxing Zhu, Shuai Zhao, Bo Cheng

{"title":"Design and Implementation of multi-dimensional History Playback System Based on IoT Data","authors":"Zhengxing Zhu, Shuai Zhao, Bo Cheng","doi":"10.1145/3384613.3384643","DOIUrl":"https://doi.org/10.1145/3384613.3384643","url":null,"abstract":"In the Internet of Things(IoT) monitoring system, there are various devices for monitoring the target's movement trajectory and behavior, the raw data of these devices has accumulated over time to form huge historical data. A historical review of monitoring targets requires a system that presents the target's historical data in a visual form. The existing system has realized the storage of target historical data, but there is still a lack in the playback of historical data. The system lacks the visual playback of the target multi-device historical monitoring data, that is difficult to comprehensively reflect the behavior information and movement status of the target during the playback period. The system lacks dynamic presentation of the target's historical motion trajectory, that is difficult to visually display the target's historical position at different times during playback, and it is impossible to analyze the historical behavior trend of the target. This paper designs and implements a historical data playback system that supports the display of target multi-dimensional information and the dynamic presentation of target track to solve the above problems. A lightweight web application framework Express is used to build a website. Based on GIS(Geographic Information System) technology, an incremental update method for fast and dynamic rendering of the target track is proposed. Combined with the component technology, the target history multidimensional information visualization is presented. Test results show that the system can complete multi-dimensional playback of historical IoT monitoring data and rapid dynamic presentation of target tracks.","PeriodicalId":214098,"journal":{"name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","volume":"185 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":"132713269","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

Personal Attributes Identification based on Gait Recognition using Smart Phone Sensors 基于智能手机传感器步态识别的个人属性识别

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering Pub Date : 2020-02-14 DOI: 10.1145/3384613.3384642

Kainat Ibrar, M. A. Azam, M. Ehatisham-ul-Haq

引用次数: 3