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Ying Liu, Yingmin Wang and Cheng Chen
Underwater acoustic localization (UWAL) is extremely challenging due to the multipath nature of extreme underwater environments, the sensor position uncertainty caused by unpredictable ocean currents, and the lack of underwater observation data due to sp...
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Michal Welcer, Cezary Szczepanski and Mariusz Krawczyk
Sensors play a significant role in flight control systems. The accuracy of the measurements of state variables affects the quality and effectiveness of flight stabilization. When designing closed-loop systems, it is desirable to use sensors of the highes...
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Dong Li and Lei Gong
Sensor alignment plays a key role in the accurate estimation of the ballistic trajectory. A sparse regularization-based sensor alignment method coupled with the selection of a regularization parameter is proposed in this paper. The sparse regularization ...
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Dong Hwi Kim, Eun Soo Kim, Sung-chul Shin and Sun Hong Kwon
Sloshing experiments have increasingly received academic attention. Understanding the measurement errors in the sloshing impact pressures is an important parts of the sloshing experiments since these errors, which arise from experimental conditions, affe...
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Tomasz Rogala, Mateusz Scieszka, Andrzej Katunin and Sandris Rucevskis
Increasingly often, due to the high sensitivity level of diagnostic systems, they are also sensitive to the occurrence of a significant number of false alarms. In particular, in structural health monitoring (SHM), the problem of optimal sensor placement ...
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Sybert Stroeve
TCAS II is a rule-based airborne collision avoidance system (ACAS) that is used in current commercial air transport operations, and ACAS Xa is a new optimization-based system. Operational validation studies have mainly used deterministic simulations of A...
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Alvaro Arroyo Cebeira and Mariano Asensio Vicente
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimat...
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Erkan Danaci, Yusuf Bayrak, Anil Cetinkaya, Murat Arslan, Handan Sakarya, Aliye Kartal Dogan and Gulsun Tunay
Radio Frequency (RF) power sensor calibration is one of the essential measurements in RF and microwave metrology. For a reliable and accurate power sensor calibration, there are various methods, such as the substitution method, the direct comparison tran...
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Min Zhao, Danyang Qin, Ruolin Guo and Xinxin Wang
With the continuous expansion of the market of indoor localization, the requirements of indoor localization technology are becoming higher and higher. Existing indoor floor localization (IFL) systems based on Wi-Fi signal and barometer data are susceptib...
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Hua Chen, Tarek M. Taha and Vamsy P. Chodavarapu
Autonomous vehicles make use of an Inertial Navigation System (INS) as part of vehicular sensor fusion in many situations including GPS-denied environments such as dense urban places, multi-level parking structures, and areas with thick tree-coverage. Th...
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Ray-I. Chang, Yu-Hsien Chu, Lien-Chen Wei and Chia-Hui Wang
Emerging IoT (Internet of Things) technologies have enjoyed tremendous success in a variety of applications. Since sensors in IoT consume a lot of energy to transmit their data, data compression used to prolong system lifetime has become a hot research t...
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Xiaoyan Guan, Ying Tang, Baojiang Dong, Guochao Li, Yanling Fu and Chongshun Tian
As the main components of mechanical products and important transmission components of mechanical motion, shaft workpieces (SW) need to undergo high-speed motion while also withstanding high torque motion, which has high processing requirements. At the s...
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Hayden Hedworth, Jeffrey Page, John Sohl and Tony Saad
Unmanned Aerial Vehicles (UAVs) are a popular platform for air quality measurements. For vertical measurements, rotary-wing UAVs are particularly well-suited. However, an important concern with rotary-wing UAVs is how the rotor-downwash affects measureme...
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Christoph Walter Senn and Itsuo Kumazawa
Noise of any kind can be an issue when translating results from simulations to the real world. We suddenly have to deal with building tolerances, faulty sensors, or just noisy sensor readings. This is especially evident in systems with many free paramete...
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Qianfeng Jing, Haichao Wang, Bin Hu, Xiuwen Liu and Yong Yin
A complete virtual test environment is a powerful tool for Autonomous Surface Vessels (ASVs) research, and the simulation of ship motion and shipborne sensors is one of the prerequisites for constructing such an environment. This paper proposed a univers...
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Mahmoud Al-Faris, John Chiverton, David Ndzi and Ahmed Isam Ahmed
A wide range of techniques exist to help control the thermal comfort of an occupant in indoor environments. A novel technique is presented here to adaptively estimate the occupant?s metabolic rate. This is performed by utilising occupant?s actions using ...
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Vladimir Kulyukin
In 2014, we designed and implemented BeePi, a multi-sensor electronic beehive monitoring system. Since then we have been using BeePi monitors deployed at different apiaries in northern Utah to design audio, image, and video processing algorithms to analy...
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Liqiang Zhang, Yu Liu and Jinglin Sun
Pedestrian navigation systems could serve as a good supplement for other navigation methods or for extending navigation into areas where other navigation systems are invalid. Due to the accumulation of inertial sensing errors, foot-mounted inertial-senso...
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Gursel Y. Çakir, Christopher J. Post, Elena A. Mikhailova and Mark A. Schlautman
Forest measurements using conventional methods may not capture all the important information required to properly characterize forest structure. The objective of this study was to develop a low-cost alternative method for forest inventory measurements an...
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Balduíno César Mateus, Mateus Mendes, José Torres Farinha and António Marques Cardoso
Predictive maintenance is very important in industrial plants to support decisions aiming to maximize maintenance investments and equipment?s availability. This paper presents predictive models based on long short-term memory neural networks, applied to ...
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