|
|
|
|
|
Yang Yu, Huiping Xu and Changwei Xu
Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bartolomeo Ventura, Andrea Vianello, Daniel Frisinghelli, Mattia Rossi, Roberto Monsorno and Armin Costa
Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arttu Julin, Kaisa Jaalama, Juho-Pekka Virtanen, Mikko Maksimainen, Matti Kurkela, Juha Hyyppä and Hannu Hyyppä
The Internet has become a major dissemination and sharing platform for 3D content. The utilization of 3D measurement methods can drastically increase the production efficiency of 3D content in an increasing number of use cases where 3D documentation of r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xi Zhai, Peng Yue and Mingda Zhang
|
|
|
|
|
|
|
|
|
|
|
Chih-Yuan Huang and Steve H. L. Liang
|
|
|
|
|
|
|
|
|
|
|
Yorghos Voutos, Phivos Mylonas, Evaggelos Spyrou and Eleni Charou
-
|
|
|
|
|
|
|
|
|
|
|
Wei Wang, Chuanbo Hu, Nengcheng Chen, Changjiang Xiao and Shan Jia
|
|
|
|
|
|
|
|
|
|
|
Jakob Geipel, Markus Jackenkroll, Martin Weis and Wilhelm Claupein
|
|
|
|
|
|
|
|
|
|
|
Jakob Geipel, Markus Jackenkroll, Martin Weis and Wilhelm Claupein
-
|
|
|
|
|
|
|
|
|
|
|
Junjun Yin and James D. Carswell
|
|
|
|
|
|
|
|
|
|
|
Omar Asad, Melike Erol-Kantarci and Hussein T. Mouftah
-
|
|
|
|
|
|
|
|
|
|
|
Dorijan Radocaj, Ante ?iljeg, Rajko Marinovic and Mladen Juri?ic
Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To provide a concise and up-to-date review of vegetation indices in precision agriculture, this study focused...
ver más
|
|
|
|
|
|
|
|
|
|
|
Paolo Tagliolato, Cristiano Fugazza, Alessandro Oggioni and Paola Carrara
The adoption of Sensor Web Enablement (SWE) practices by sensor maintainers is hampered by the inherent complexity of the Sensor Model Language (SensorML), its high expressiveness, and the scarce availability of editing tools. To overcome these issues, t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changjiang Xiao, Nengcheng Chen, Xiaolei Wang and Zeqiang Chen
|
|
|
|
|
|
|
|
|
|
|
Alessandro Ludovici, Pol Moreno and Anna Calveras
-
|
|
|
|
|
|
|
|
|
|
|
Jeban Chandir Moses, Sasan Adibi, Maia Angelova and Sheikh Mohammed Shariful Islam
Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have poten...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeqiang Chen and Nengcheng Chen
The timely sharing and interoperation of multi-source cross-sectoral information is an important issue for a Geographic Information System (GIS). To study this issue, a real-time and open GIS model called GeoSensor is proposed in this work. GeoSensor int...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rassarin Chinnachodteeranun, Nguyen Duy Hung, Kiyoshi Honda, Amor V. M. Ines and Eunjin Han
Climate and weather realizations are essential inputs for simulating crop growth and yields to analyze the risks associated with future conditions. To simplify the procedure of generating weather realizations and make them available over the Internet, we...
ver más
|
|
|
|
|
|
|
|
|
|
|
P. J. Sousa,R. Tavares,P. Abreu,M. Teresa Restivo
Pág. pp. 25 - 36
This paper reports the development and integration of a wireless sensor network for environmental monitoring. The main goals of this system include modularity, low power consumption and ease of expansion. The system includes three main elements: sensor n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
ver más
|
|
|
|
|
|