2019 International Conference on Internet of Things Research and Practice (iCIOTRP)最新文献

An IOT Enabled Smart School Bag to Help Kids, Parents and Schools 一款物联网智能书包，帮助孩子、家长和学校

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iCIOTRP48773.2019.00009

Jayadev Ajayakumar, H. Abdi, Naga Venkata Durga Surendra Anna

引用次数: 2

Farmers as Sensors: A Crowdsensing Platform to Generate Agricultural Pest Incidence Reports 农民作为传感器:一个产生农业有害生物发生率报告的群体感知平台

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iCIOTRP48773.2019.00011

Janagan Sivagnanasundaram, A. Ginige, J. Goonetillake

{"title":"Farmers as Sensors: A Crowdsensing Platform to Generate Agricultural Pest Incidence Reports","authors":"Janagan Sivagnanasundaram, A. Ginige, J. Goonetillake","doi":"10.1109/iCIOTRP48773.2019.00011","DOIUrl":"https://doi.org/10.1109/iCIOTRP48773.2019.00011","url":null,"abstract":"Over the years, the food produced for human consumption is lost or affected due to many factors. Among these, pest/disease incidence is one significant factor contributing to crop losses. Hence, early identification of the presence of pest/disease incidence is essential to manage crop losses. In Sri Lanka, farmers identify a pest/disease incidence by mainly relying on the input given by agricultural experts, and sometimes they rely on fellow farmers, pesticide dealers, and even on their own experience. The current approaches followed by the farmers to communicate the pest/disease symptoms to agricultural experts are not appropriate and resulted in many incorrect choices made by the farmers. In this paper, we discuss about an extension we proposed for a mobile application we developed for farmers in Sri Lanka called Govi Nena. This extension aimed to capture the conditions concerning pest/disease symptoms and climate present in the field to assist agricultural experts in the decisionmaking process. We consider each farmer as a sensor to capture information such as symptoms present in the crop, distribution of symptoms, affected parts of the plant, and growth stage of it. The enhanced version of the application was given to agricultural experts to understand their feedback in regards to this. The feedback was positive, and now, we have undertaken to deploy the application among several farmers based in Sri Lanka for testing purposes.","PeriodicalId":220655,"journal":{"name":"2019 International Conference on Internet of Things Research and Practice (iCIOTRP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129445881","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

Welcome from the iCIOTRP 2019 Program Chairs 欢迎来自2019年iCIOTRP项目的主持人

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00005

B. Javadi

引用次数: 0

[Title page i] [标题页i]

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00001

引用次数: 0

iCIOTRP 2019 Reviewers

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00008

Bahman Javadi, Rodrigo Calheiros, S. Shahrestani, Young Choon Lee

引用次数: 0

iCIOTRP 2019 Program Committee iCIOTRP 2019项目委员会

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00007

引用次数: 0

[Title page iii] [标题页iii]

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00002

引用次数: 0

[Copyright notice] (版权)

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00003

引用次数: 0

An Improved Positioning Method in a Smart Building for Visually Impaired Users 一种面向视障用户的智能楼宇定位改进方法

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iCIOTRP48773.2019.00010

P. T. Mahida, S. Shahrestani, Hon Cheung

{"title":"An Improved Positioning Method in a Smart Building for Visually Impaired Users","authors":"P. T. Mahida, S. Shahrestani, Hon Cheung","doi":"10.1109/iCIOTRP48773.2019.00010","DOIUrl":"https://doi.org/10.1109/iCIOTRP48773.2019.00010","url":null,"abstract":"Pedestrians have a variety of tools that can assist them in travelling, including maps, kiosks, and signage. However, these facilities are inaccessible to visually impaired users. Moreover, voice aided feature with Global Positioning System (GPS) cannot be adopted in indoor applications due to signal strength attenuation and multipath effects. Internet of Things (IoT) has become a backbone for such navigation applications that can assist in locating a user within IoT equipped smart buildings. Despite the growing use of Wi-Fi and beacon technologies, smartphones are uniquely positioned to be a critical part of a localization solution. The popularity of smartphone is increased by the diverse array of microelectromechanical (MEMS) inertial sensors. This paper discusses the adaptive distance estimation algorithm for visually impaired people. It represents the use of a smartphone in a situation where external proximity sensors fail to share location information to supplement an indoor navigation system in dark areas. An improved fusion algorithm is presented that adapts the walking style of a user detecting right turns and headings. The proposed fusion algorithm depends on inertial sensors to detect the relative position of the moving user with the absolute initial position using ibeacon. Tests were carried out to determine the accuracy of steps travelled, orientation and heading information for a user holding a smartphone. Our approach estimates heading and orientation from 3-axis inertial sensors (gyroscope, accelerometer and magnetometer) have shown accuracy more than 95%. The positioning root-mean-square error (RMSE) calculation results have demonstrated that the hybrid fusion algorithm can achieve a real-time positioning and reduce the error of indoor positioning.","PeriodicalId":220655,"journal":{"name":"2019 International Conference on Internet of Things Research and Practice (iCIOTRP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665233","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

iCIOTRP 2019 Organizing Committee iCIOTRP 2019组委会

2019 International Conference on Internet of Things Research and Practice (iCIOTRP) Pub Date : 2019-11-01 DOI: 10.1109/iciotrp48773.2019.00006

引用次数: 0