scholarly journals Smart Sensors and Devices in Artificial Intelligence

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5945
Author(s):  
Dan Zhang ◽  
Bin Wei
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicle ◽  
Intelligent System ◽  
Smart Sensors ◽  
Automated Guided Vehicle ◽  
Special Issue ◽  
Aerial Vehicle

As stated in the Special Issue call, “sensors are eyes or/and ears of an intelligent system, such as Unmanned Aerial Vehicle (UAV), Automated Guided Vehicle (AGV) and robots [...]

scholarly journals Editorial for the Special Issue “Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”

2020 ◽  
Vol 12 (6) ◽  
pp. 940 ◽  
Author(s):  
Xiuliang Jin ◽  
Zhenhai Li ◽  
Clement Atzberger
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Crop Production ◽  
Unmanned Ground Vehicle ◽  
Special Issue ◽  
Climate Conditions ◽  
Ground Vehicle ◽  
Global Food Security ◽  
3D Data ◽  
Potential Applications ◽  
Aerial Vehicle

High-throughput crop phenotyping is harnessing the potential of genomic resources for the genetic improvement of crop production under changing climate conditions. As global food security is not yet assured, crop phenotyping has received increased attention during the past decade. This spectral issue (SI) collects 30 papers reporting research on estimation of crop phenotyping traits using unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV) imagery. Such platforms were previously not widely available. The special issue includes papers presenting recent advances in the field, with 22 UAV-based papers and 12 UGV-based articles. The special issue covers 16 RGB sensor papers, 11 papers on multi-spectral imagery, and further 4 papers on hyperspectral and 3D data acquisition systems. A total of 13 plants’ phenotyping traits, including morphological, structural, and biochemical traits are covered. Twenty different data processing and machine learning methods are presented. In this way, the special issue provides a good overview regarding potential applications of the platforms and sensors, to timely provide crop phenotyping traits in a cost-efficient and objective manner. With the fast development of sensors technology and image processing algorithms, we expect that the estimation of crop phenotyping traits supporting crop breeding scientists will gain even more attention in the future.

scholarly journals Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections

2020 ◽  
Vol 32 (6) ◽  
pp. 1244-1258
Author(s):  
Pang-jo Chun ◽  
Ji Dang ◽  
Shunsuke Hamasaki ◽  
Ryosuke Yajima ◽  
Toshihiro Kameda ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicle ◽  
Measurement Technology ◽  
Remote Measurement ◽  
Bridge Inspection ◽  
Current State ◽  
Bridge Collapse ◽  
Bridge Inspections ◽  
Aerial Vehicle

In recent years, aging of bridges has become a growing concern, and the danger of bridge collapse is increasing. To appropriately maintain bridges, it is necessary to perform inspections to accurately understand their current state. Until now, bridge inspections have involved a visual inspection in which inspection personnel come close to the bridges to perform inspection and hammering tests to investigate abnormal noises by hammering the bridges with an inspection hammer. Meanwhile, as there are a large number of bridges (for example, 730,000 bridges in Japan), and many of these are constructed at elevated spots; the issue is that the visual inspections are laborious and require huge cost. Another issue is the wide disparity in the quality of visual inspections due to the experience, knowledge, and competence of inspectors. Accordingly, the authors are trying to resolve or ameliorate these issues using unmanned aerial vehicle (UAV) technology, artificial intelligence (AI) technology, and telecommunications technology. This is discussed first in this paper. Next, the authors discuss the future prospects of bridge inspection using robot technology such as a 3-D model of bridges. The goal of this paper is to show the areas in which deployment of the UAV, robots, telecommunications, and AI is beneficial and the requirements of these technologies.

Special Issue on ISIS 2009, Dong-A University, Busan, Korea

2010 ◽  
Vol 14 (5) ◽  
pp. 549-549
Author(s):  
John-Tark Lee ◽  
Gyei Kark Park
Keyword(s):  
Artificial Intelligence ◽  
International Symposium ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Unscented Kalman Filter ◽  
Fuzzy Theory ◽  
Capacitive Sensor ◽  
Theoretical Work ◽  
Editorial Staff ◽  
Special Issue

The 10th International Symposium on Advanced Intelligent Systems 2009 (ISIS2009) held on August 17-19, 2009, at the Bumin Campus of Dong-A University (http://www.donga.ac.kr/) in Busan, Korea, was sponsored by the Korean Institute of Intelligent System Society (KIIS) and cosponsored technically by the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) and the Taiwanese Association for Artificial Intelligence (TAAI). The international symposium focused on state-of-art accomplishments, innovations, and potential directions in intelligent systems. It also marked an epoch of innovation and the dissemination of research into many interesting fields. Its broad theme covered the latest in technical fields, including artificial intelligence, intelligent systems, Ambient Intelligence (AmI), bioinformatics, information technology, and their wide-ranging applications, from basic theoretical work to practical engineering applications. The 80 featured papers were presented by 120 participants. With so many papers submitted to JACIII, this special issue consists of just two strictly selected papers. The first, deals with emerging research trends in robotics, proposing a new trajectory generation using the univariate Dynamic Encoding Algorithm for Searches (uDEAS) in the turning of a biped walking robot. The second paper, presenting the latest findings in AmI, details a newly designed and implemented robust capacitive sensor with parasitic parameter modeling over a range of high 200 KHz frequencies based on an Unscented Kalman Filter (UKF) algorithm. I would like to thank Mr. Kunihiko Uchida, Mr. Shinya Wakai, Ms. Reiko Ohta, and Mr. Shinji Isokawa as editorial staff of Fuji Technology Press for editing these complex manuscripts into their final form. And I really thank to Prof. Kaoru Hirota, Editor-in-Chief of JACIII for inviting me to direct this special issue on ISIS

scholarly journals Special Issue on Unmanned Aerial Vehicle (UAV)-Enabled Green Communications and Networking

2021 ◽  
Vol 5 (3) ◽  
pp. 1232-1235
Author(s):  
Nan Zhao ◽  
Daniel B. da Costa ◽  
Jie Tang ◽  
Xianbin Wang ◽  
Jonathon A. Chambers
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Special Issue ◽  
Green Communications ◽  
Aerial Vehicle

An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection

2021 ◽  
Vol 80 ◽  
pp. 103607
Author(s):  
Sourav Kumar Bhoi ◽  
Kalyan Kumar Jena ◽  
Sanjaya Kumar Panda ◽  
Hoang Viet Long ◽  
Raghvendra Kumar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicle ◽  
Aerial Vehicle ◽  
Rice Pest ◽  
Pest Detection
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