2021 8th International Conference on Computer and Communication Engineering (ICCCE)最新文献_第9页

Remote Sensing Image Classification for Spatial Information Extraction of Panax notoginseng Fields 基于遥感影像分类的三七田空间信息提取

2021 8th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2021-06-22 DOI: 10.1109/ICCCE50029.2021.9467177

S. Pu, Yining Song, Yingyao Chen, Yating Li, Lingxin Luo, Xiaowei Xie, Y. Nie

{"title":"Remote Sensing Image Classification for Spatial Information Extraction of Panax notoginseng Fields","authors":"S. Pu, Yining Song, Yingyao Chen, Yating Li, Lingxin Luo, Xiaowei Xie, Y. Nie","doi":"10.1109/ICCCE50029.2021.9467177","DOIUrl":"https://doi.org/10.1109/ICCCE50029.2021.9467177","url":null,"abstract":"Chinese herbal medicine has played an important role in the treatment of the novel coronavirus patients. Machine learning-based remote-sensing techniques play a significant role in the quantitative resource inventory of materia medica resources, particularly to explore the monitoring abilities for sustainable utilization and biodiversity protection of the cultivated medicinal plant Panax notoginseng in the macrocosm. Until now, to the best knowledge, concrete planting patterns of Panax notoginseng are still poorly known. In this study, two popular supervised classifiers, i.e., support vector machine and artificial neural network, are employed to conduct mapping Panax notoginseng fields in Wenshan city, Yunnan province, China. It only targets a single class of interest, and there are 8,072 and 8,749 polygons extracted, whilst the planting areas of Panax notoginseng are estimated as 35.45 and 32.47 square kilometers achieved by SVM and ANN, respectively. Meanwhile, special concerns raised in terms of remote sensing mapping for modeling planting patterns and monitoring plant rotations of perennial Panax notoginseng cultivated under shade-net structures based on the experiments.","PeriodicalId":122857,"journal":{"name":"2021 8th International Conference on Computer and Communication Engineering (ICCCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117267447","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

Game-based Learning using Augmented Reality 使用增强现实的基于游戏的学习

2021 8th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2021-06-22 DOI: 10.1109/ICCCE50029.2021.9467187

Ooi Li Ying, I. Hipiny, Hamimah Ujir, S. S. Samson Juan

引用次数: 5

On the Evaluation of DHT22 Temperature Sensor for IoT Application DHT22温度传感器在物联网中的应用评估

2021 8th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2021-06-22 DOI: 10.1109/ICCCE50029.2021.9467147

Y. Ahmad, Teddy Surya Gunawan, H. Mansor, B. A. Hamida, Adam Fikri Hishamudin, F. Arifin

{"title":"On the Evaluation of DHT22 Temperature Sensor for IoT Application","authors":"Y. Ahmad, Teddy Surya Gunawan, H. Mansor, B. A. Hamida, Adam Fikri Hishamudin, F. Arifin","doi":"10.1109/ICCCE50029.2021.9467147","DOIUrl":"https://doi.org/10.1109/ICCCE50029.2021.9467147","url":null,"abstract":"Temperature is one of the most monitored items in many industrial and commercial applications. Internet of Things (IoT) temperature sensors are commonly small, low power, and able to measure humidity as well. Obtaining timely, accurate temperature information is critical in an IoT system. This paper aims to evaluate an IoT temperature system’s performance by comparing it with an industrial system. In this project, an IoT temperature monitoring system has been developed using a DHT22 temperature sensor and a Raspberry Pi to represent an IoT temperature monitoring system. The system is evaluated by comparing its temperature measurement with a Keithley 6517-TP industrial grade temperature probe connected to Keithley 2110 benchtop digital multimeter as the acquisition system. The IoT temperature monitoring system utilizing the DHT22 sensor provides accurate measurement up to 0.10C but a slower response in detecting temperature change. This finding would be able to provide a reference in developing an IoT system that requires temperature monitoring.","PeriodicalId":122857,"journal":{"name":"2021 8th International Conference on Computer and Communication Engineering (ICCCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124673587","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

Mathematical Design of Coil Parameter for Wireless Power Transfer using NI Multisims Software 利用NI Multisims软件进行无线输电线圈参数的数学设计

2021 8th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2021-06-22 DOI: 10.1109/ICCCE50029.2021.9467166

S. Yusoff, N. Nanda, N. S. Midi, Ahmed Samir Abed Badawi

引用次数: 3

[Copyright notice] (版权)

2021 8th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2019-06-01 DOI: 10.1109/electronics.2019.8765688

引用次数: 0