X-Ray imaging method for in-situ study of particle-laden flows by Julian Kattinger, Phi-Long Chung, Mike Kornely, Julian Ehrler, Marc Kreutzbruck, Christian Bonten

“…  The accurate measurement of flow parameters often depends on sensor accessibility. Optical flow assessment techniques, such as Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV), are limited to optically transparent media. …”
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Vessel Trajectory Data Mining: A Review by Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis

“…Recent advancements in sensor and tracking technologies have facilitated the real-time tracking of marine vessels as they traverse the oceans. …”
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A ± 1.55ppm Stable FBAR Reference Clock with Oven-Controlled Temperature Compensation by Jabeom Koo, Kannan Sankaragomathi, Richard Ruby, Brian Otis

“…The highly integrated system includes a 0.64mm2 FBAR chip with integrated heater and sensor resistors and a 3 mm2 CMOS chip with the control electronics. …”
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Regular Detection and Intelligent Monitoring Technology of Atmospheric Storage Tank Based on Acoustic Emission and Internet of Things by Jiehui Xie, Xueying Lu

“…This paper introduces the principle of acoustic emission detection, sensor installation, system calibration and data acquisition, focuses on the application of acoustic emission technology in the detection of tank bottom corrosion and leakage, and compares the advantages and disadvantages of other detection technologies, and proposes an intelligent unattended acoustic emission tank monitoring system based on the Internet of Things. …”
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Modeling and Simulation of Inner Transmission Train based on Hybrid-driving by Tan Weiming

“…The inner transmission train model based on hybrid-driving is built and the numerically simulation is carried out.By using the servo motor as the executor to add compensating motion to the adjustable portion of the transmission train,to make the actual speed of the end piece of the transmission train close to its ideal speed.After establishing dynamic model,the Simulink tool in the MATLAB software is applied to implement modeling and numerical simulation in a computer.Taking the main transmission system of a hobbing machine as simulated object,the numerically simulation of the speed changes in the cutting process of gears with teeth numbers of 38 & 50 are carried out.According to the simulation,it is confirmed that this hybrid-driving inner transmission train is feasible,and the transmission errors are equivalent to the errors of the detecting sensor of end pieces.…”
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Myopathy in the York Platelet Syndrome: An Underrecognized Complication by Joy Roman, Michael I. Palmer, Cheryl A. Palmer, Nicholas E. Johnson, Russell J. Butterfield

“…York Platelet Syndrome (YPS) is a calcium channelopathy caused by gain of function in STIM1, a gene which acts as a calcium sensor. It is characterized by platelet abnormalities and muscle weakness. …”
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Study on the Failure of the Bolted Flange Connection Structure between Stages of Missiles (Rockets) under Transverse Impact Load by Tonghui Tian, Jiehong Yuan, Daokui Li, Qingwen Wang, Baisheng Chen

“…During the experiments, a new signal sensor is designed to collect the data of the bolts force, and the response data such as the bolts force, the slotted displacement of the connecting interface, and the impact force are collected in the loading process. …”
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Electrochemical Properties of Silver Nanoparticle Doped Aminosilica Nanocomposite by Yong-Jae Choi, Tzy-Jiun M. Luo

“…Furthermore, a humidity sensor based on silver-silica nanocomposite film has also been demonstrated.…”
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UAV path intelligent planning in IoT data collection by Shu FU, Xiangyue YANG, Haijun ZHANG, Chen CHEN, Peng YU, Xin JIAN, Min LIU

“…To solve the problem of path planning of UAV data collection, it was generally be divided into global path planning and local path planning.For global path planning, it was modeled as an orientation problem, which was a combination of two classical optimization problems, the knapsack problem and the traveling salesman problem.The pointer network of deep learning was used to solve the model to obtain the service node set and service order under the energy constraint of the UAV.In terms of the local path planning, the reference signal strength (RSS) of the sensor node received by UAV was employed to learn the local flight path of UAV by deep Q network, which enabled the UAV to approach and serve the nodes.Simulation results show that the proposed scheme can effectively improve the revenue of UAV data collection under the energy constraint of UAV.…”
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Improved sliding mode temperature control of hydrogen fuel cells for multirotor drones by Qi Wu, Yong Zhang, Tingting Ru, Chenxiao Cai

“…Initially, a novel sliding mode control strategy is proposed, which significantly enhances the precision and stability of temperature control by reducing the impact of sensor errors and environmental disturbances. Subsequently, the effectiveness and robustness of this control method under various dynamic loads and environmental conditions are demonstrated. …”
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An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters by Yue Wang, Zhijian Qiu, Xiaomei Qu

“…An application to the mobile source localization with time difference of arrival (TDOA) measurements and sensor position uncertainties is provided where the simulation results illustrate that the improved UKF method leads to a superior performance in comparison with the normal UKF method.…”
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Data sharing scheme supporting secure outsourced computation in wireless body area network by Wei-wei ZHANG, Yu-zhao ZHANG, Chao HUANG, Ru ZHANG, Yi-xian YANG

“…How to effectively protect the security of data sharing in WBAN was a key problem to be solved urgently.The traditional CP-ABE mechanism had a 〝one to many〝 data security communication function which was suitable for access control in WBAN,but it had high computational complexity and did not support attribute revocation.Fully considering of limitations on computation and storage of sensor nodes and dynamic user attribute in WBAN,a CP-ABE scheme was proposed which was provably secure against CPA under the standard model and supported attributes revocation,outsourced encryption and decryption.Compared with the proposed schemes,the computation burden on senor nodes is greatly reduced and the user's attribution can be revoked immediately and fine grained while meeting the demand of its security in the proposed scheme.…”
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Compact Sine Cosine Algorithm with Multigroup and Multistrategy for Dispatching System of Public Transit Vehicles by Minghui Zhu, Shu-Chuan Chu, Qingyong Yang, Wei Li, Jeng-Shyang Pan

“…This paper studies the problem of intelligence optimization, a fundamental problem in analyzing the optimal solution in a wide spectrum of applications such as transportation and wireless sensor network (WSN). To achieve better optimization capability, we propose a multigroup Multistrategy Compact Sine Cosine Algorithm (MCSCA) by using the compact strategy and grouping strategy, which makes the initialized randomly generated value no longer an individual in the population and avoids falling into the local optimum. …”
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Model Predictive Control of NCS with Data Quantization and Bounded Arbitrary Time Delays by Jimin Yu, Yanan Xie, Xiaoming Tang

“…The bounded time delay and data quantization are assumed to coexist in the data transmission link from the sensor to the controller. A novel NCS model is specially established for the model predictive control method, which casts the time delay and data quantization into a unified framework. …”
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Teletactile System Based on Mechanical Properties Estimation by Mauro M. Sette, Hendrik Van Brussel, Jos Vander Sloten

“…Previous works have presented a remote palpation feedback system based on the coupling between a pressure sensor and a general haptic interface. Here a new approach is presented based on the direct estimation of the tissue mechanical properties and finally their presentation to the operator by means of a haptic interface. …”
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Improve crop production through wsn: an approach of smart agriculture by Agyan Panda, Seyed Ahmad Edalatpanah, Ramin Godarzi Karim

“…The goal is to build and create an agricultural monitoring system that uses a wireless sensor network to boost farming production and quality without having to manually monitor it all of the time. …”
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Real-time detection method of smoke based on Wi-Fi by Zhefu WU, Wanli TANG, Cheng CHEN, Luping FANG

“…Fire-related smoke real-time detection method is one of the important means to ensure public safety.A fire smoke detection method based on channel state information of Wi-Fi network was proposed to avoid the high cost of existing fire sensor system or the blind spot of video detection.The method need not require a dedicated fire smoke monitoring device.By studying the influence of fire smoke on wireless transmission signals,the smoke characteristic parameters in the channel state information were extracted and classified by machine learning,thereby realizing the real-time monitoring of environmental fire.The experimental results show that the accuracy of environmental smoke detection based on Wi-Fi channel status information can reach 98.06%.…”
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Hypercalcemia, Acute Kidney Injury, and Metabolic Alkalosis by Faten Aqeel, Jennifer Del Castillo, Bernard G. Jaar, Mohamad Hanouneh

“…Hypercalcemia can result in impaired collecting duct system sensitivity to antidiuretic hormone, afferent arteriole constriction, and activation of calcium sensor receptors in multiple tissues. The net effect is an increase in calcium reabsorption with a salt and water diuresis which leads to volume depletion, acute kidney injury, and metabolic alkalosis.…”
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Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework by Yuhuang Zheng

“…In this paper, we present an accelerometer sensor-based approach for human activity recognition. …”
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Pt@ZnCo₂O₄ Microspheres as Peroxidase Mimics: Enhanced Catalytic Activity and Application for L-Cysteine Detection by Shuqi Liao, Weisen Deng, Feng Yang, Jutao Zhou, Ling Wu, Donghong Yu, Zhong Cao

“…The sensor possesses good selectivity, reusability, and usage stability, which can be well applied to the determination of L-Cys in health product capsules with recovery rates of 96.9%~103.7% and RSD of 1.07%~6.50%. …”
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