Results 41 to 50 of about 128,085 (304)

ANALISIS DEFORMASI PERMUKAAN MENGGUNAKAN METODE DInSAR (Differential Interferometry Synthetic Aperture Radar) PADA STUDI KASUS GEMPABUMI LOMBOK PERIODE AGUSTUS 2018

open access: yesJGE, 2020
Lombok is located on the boundary of active tectonic plates, this is what caused the Lombok Earthquake on August, 2018. DInSAR is a remote sensing technology that utilizes radar satellites to measure the amount of deformation on the surface of the ground
Muhammad Fikri Azhari   +3 more
doaj   +1 more source

Analysis of Line-of-Sight Angle Characteristics for Intercepting a Non-Maneuvering Target With Impact Angle Constraints

open access: yesIEEE Access, 2023
With the widespread informationization in modern warfare, higher requirements are required for monitoring the high-value target’s movement state and the corresponding attack conditions.
Xin Sun   +5 more
doaj   +1 more source

The effect factors of the line of sight jitter [PDF]

open access: yes, 2017
The stability precision is the key technical factor of optical-electro inertially stabilized platform. Combined with the mechanism of inertially stabilized platform system, the mathematical model of the pitch gimbal of inertially stabilized platform is
Guo, Yunzeng   +9 more
core   +1 more source

Line-of-Sight surface deformation rate at New Orleans from Sentinel-1 SAR interferometric time series analysis [PDF]

open access: yes, 2023
Line-of-Sight surface deformation rate in New Orleans. The SAR data sets spanning from 2017/02/27 to 2023/06/20 include 173 images in ascending (incidence angle = ~38.9°, heading angle = ~347°) orbits of the Sentinel-1 C-band satellite.
Manoochehr Shirzaei (10606079)
core   +1 more source

Inertial measurement unit–aided dual-frequency radio frequency identification localization in line-of-sight and non-line-of-sight hybrid environment

open access: yesInternational Journal of Distributed Sensor Networks, 2018
The mitigation of non-line-of-sight propagation conditions is one of main challenges in wireless signal–based indoor localization. When radio frequency identification localization technology is applied in applications, the received signal strength ...
Jie Wu, Minghua Zhu, Bo Xiao, Wei He
doaj   +1 more source

Empowering IoT: leveraging data sensor communication with LoRAWAN in diverse environments

open access: yesActa Polytechnica
The Internet of Things (IoT) connects countless devices, such as sensors and actuators, necessitating an efficient long-range communication technology.
Noprianto Noprianto   +4 more
doaj   +1 more source

A mobile localization method based on a robust extend Kalman filter and improved M-estimation in Internet of things

open access: yesInternational Journal of Distributed Sensor Networks, 2020
As the key technology for Internet of things, wireless sensor networks have received more attentions in recent years. Mobile localization is one of the significant topics in wireless sensor networks.
Nan Hu   +5 more
doaj   +1 more source

Optimum Model for Tracking of Moving Objects

open access: yesPakistan Journal of Engineering & Technology, 2023
 In wireless communication, it is a challenge to find the accurate position of moving objects. The presented work proposes the GPS receiver to measure the position and velocity of moving objects.
Muzaffar Hussain   +2 more
doaj   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

open access: yesArthritis Care &Research, EarlyView.
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram   +25 more
wiley   +1 more source

UWB Indoor Localization Based on Artificial Rabbit Optimization Algorithm and BP Neural Network

open access: yesBiomimetics
In the field of ultra-wideband (UWB) indoor localization, traditional backpropagation neural networks (BPNNs) are limited by their susceptibility to local minima, which restricts their ability to achieve global optimization.
Chaochuan Jia   +5 more
doaj   +1 more source

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