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  • Applications, Advances and Challenges
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Fatih Kurugollu; Syed Hassan Ahmed; Rasheed Hussain; Farhan Ahmad; Chaker Abdelaziz Kerrache

    Vehicular sensor networks (VSN) provide a new paradigm for transportation technology and demonstrate massive potential to improve the transportation environment due to the unlimited power supply of the vehicles and resulting minimum energy constraints. This special issue is focused on the recent developments within the vehicular networks and vehicular sensor networks domain. The papers included in

    更新日期:2020-07-01
  • Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Joanna Sekulska-Nalewajko; Jarosław Gocławski; Ewa Korzeniewska

    Pilling is caused by friction pulling and fuzzing the fibers of a material. Pilling is normally evaluated by visually counting the pills on a flat fabric surface. Here, we propose an objective method of pilling assessment, based on the textural characteristics of the fabric shown in optical coherence tomography (OCT) images. The pilling layer is first identified above the fabric surface. The percentage

    更新日期:2020-07-01
  • raphene-Based Biosensor for Early Detection of Iron Deficiency
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Oluwadamilola Oshin; Dmitry Kireev; Hanna Hlukhova; Francis Idachaba; Deji Akinwande; Aderemi Atayero

    Iron deficiency (ID) is the most prevalent and severe nutritional disorder globally and is the leading cause of iron deficiency anemia (IDA). IDA often progresses subtly symptomatic in children, whereas prolonged deficiency may permanently impair development. Early detection and frequent screening are, therefore, essential to avoid the consequences of IDA. In order to reduce the production cost and

    更新日期:2020-07-01
  • Two-Layer Controller for Lateral Path Tracking Control of Autonomous Vehicles
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Zhiwei He; Linzhen Nie; Zhishuai Yin; Song Huang

    This paper presents a two-layer controller for accurate and robust lateral path tracking control of highly automated vehicles. The upper-layer controller, which produces the front wheel steering angle, is implemented with a Linear Time-Varying MPC (LTV-MPC) whose prediction and control horizon are both optimized offline with particle swarm optimization (PSO) under varying working conditions. A constraint

    更新日期:2020-07-01
  • GB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Andrés Fuster-Guilló; Jorge Azorín-López; Marcelo Saval-Calvo; Juan Miguel Castillo-Zaragoza; Nahuel Garcia-D’Urso; Robert B. Fisher

    This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved using multimedia technologies. However, there are few studies using 3D data and VR technologies for this purpose. On the other hand, obtaining 3D measurements of the human body and analyzing them over time

    更新日期:2020-07-01
  • eep Convolutional Neural Network Phase Unwrapping for Fringe Projection 3D Imaging
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Jian Liang; Junchao Zhang; Jianbo Shao; Bofan Song; Baoli Yao; Rongguang Liang

    Phase unwrapping is a very important step in fringe projection 3D imaging. In this paper, we propose a new neural network for accurate phase unwrapping to address the special needs in fringe projection 3D imaging. Instead of labeling the wrapped phase with integers directly, a two-step training process with the same network configuration is proposed. In the first step, the network (network I) is trained

    更新日期:2020-07-01
  • lectrochemical Biosensors Employing Natural and Artificial Heme Peroxidases on Semiconductors
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Bettina Neumann; Ulla Wollenberger

    Heme peroxidases are widely used as biological recognition elements in electrochemical biosensors for hydrogen peroxide and phenolic compounds. Various nature-derived and fully synthetic heme peroxidase mimics have been designed and their potential for replacing the natural enzymes in biosensors has been investigated. The use of semiconducting materials as transducers can thereby offer new opportunities

    更新日期:2020-07-01
  • riterion Validity of Catapult ClearSky T6 Local Positioning System for Measuring Inter-Unit Distance
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Ryan W. Hodder; Kevin A. Ball; Fabio R. Serpiello

    The validity of a local positioning system (LPS) to measure inter-unit distance was investigated during a team sport movement circuit. Eight recreationally active, female indoor team-sport players completed a circuit, comprising seven types of movements (walk, jog, jump, sprint, 45° change of direction and shuffle), on an indoor court. Participants wore a receiver tag (ClearSky T6, Catapult Sports)

    更新日期:2020-07-01
  • utonomous Road Roundabout Detection and Navigation System for Smart Vehicles and Cities Using Laser Simulator–Fuzzy Logic Algorithms and Sensor Fusion
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Mohammed A. H. Ali; Musa Mailah; Waheb A. Jabbar; Khaja Moiduddin; Wadea Ameen; Hisham Alkhalefah

    A real-time roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion in a road environment is presented in this paper. A wheeled mobile robot (WMR) is supposed to navigate autonomously on the road in real-time and reach a predefined goal while discovering and detecting the road roundabout. A complete modeling and path planning

    更新日期:2020-07-01
  • epth-Dependent High Distortion Lens Calibration
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Carlos Ricolfe-Viala; Alicia Esparza

    Accurate correction of high distorted images is a very complex problem. Several lens distortion models exist that are adjusted using different techniques. Usually, regardless of the chosen model, a unique distortion model is adjusted to undistort images and the camera-calibration template distance is not considered. Several authors have presented the depth dependency of lens distortion but none of

    更新日期:2020-07-01
  • egradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Kai Wang; Haifeng Guo; Aidong Xu; Michael Pecht

    Electromagnetic coils are a key component in a variety of systems and are widely used in many industries. Because their insulation usually fails suddenly and can have catastrophic effects, degradation monitoring of coil insulation systems plays a vital role in avoiding unexpected machine shutdown. The existing insulation degradation monitoring methods are based on assessing the change of coil high-frequency

    更新日期:2020-07-01
  • yperparameter Optimization Method Based on Harmony Search Algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Seong-Hoon Kim; Zong Woo Geem; Gi-Tae Han

    In this study, we propose a method to find an optimal combination of hyperparameters to improve the accuracy of respiration pattern recognition in a 1D (Dimensional) convolutional neural network (CNN). The proposed method is designed to integrate with a 1D CNN using the harmony search algorithm. In an experiment, we used the depth of the convolutional layer of the 1D CNN, the number and size of kernels

    更新日期:2020-07-01
  • A Case Study in Four Schools in Spain
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Elena Jurado; David Fonseca; Jorge Coderch; Xavi Canaleta

    Robotics is one of the key learnings in a world where learners will interact with multiple robotic technologies and operating systems throughout their lives. However, school teachers, especially in the elementary and primary education stages, often have difficulties incorporating these tools in the classroom. Four elementary teachers in three schools in Catalonia were trained to introduce robotics

    更新日期:2020-07-01
  • erformance Analysis of Camera-based Object Detection for Automated Vehicles
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Thomas Ponn; Thomas Kröger; Frank Diermeyer

    For a safe market launch of automated vehicles, the risks of the overall system as well as the sub-components must be efficiently identified and evaluated. This also includes camera-based object detection using artificial intelligence algorithms. It is trivial and explainable that due to the principle of the camera, performance depends highly on the environmental conditions and can be poor, for example

    更新日期:2020-07-01
  • pplication and Experimental Validation of a Multibody Model with Weakly Coupled Lateral and Vertical Dynamics to a Scaled Railway Vehicle
    Sensors (IF 3.275) Pub Date : 2020-07-01
    Pedro Urda; Sergio Muñoz; Javier F. Aceituno; José L. Escalona

    In this paper, a multibody dynamic model of a railway vehicle that assumes that vertical and lateral dynamics are weakly coupled, has been experimentally validated using an instrumented scaled vehicle running on a 5-inch-wide experimental track. The proposed linearised model treats the vertical and lateral dynamics of the multibody system almost independently, being coupled exclusively by the suspension

    更新日期:2020-07-01
  • Tencel-Based Ultra-Thin Compact Monopole and Its Applications to ZigBee
    Sensors (IF 3.275) Pub Date : 2020-06-30
    María Elena de Cos Gómez; Humberto Fernández Álvarez; Alicia Flórez Berdasco; Fernando Las-Heras Andrés

    An ultrathin, compact ecofriendly antenna suitable for IoT applications around 2.45 GHz is achieved as a result of exploring the use of Tencel fabric for the antenna’s design. The botanical ecofriendly Tencel is electromagnetically characterized, in terms of relative dielectric permittivity and loss tangent, in the target IoT frequency band. To explore the suitability of the Tencel, a comparison is

    更新日期:2020-06-30
  • tress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Dongdong Ma; Liangju Wang; Libo Zhang; Zhihang Song; Tanzeel U. Rehman; Jian Jin

    High-throughput imaging technologies have been developing rapidly for agricultural plant phenotyping purposes. With most of the current crop plant image processing algorithms, the plant canopy pixels are segmented from the images, and the averaged spectrum across the whole canopy is calculated in order to predict the plant’s physiological features. However, the nutrients and stress levels vary significantly

    更新日期:2020-06-30
  • erformance Analysis of Cooperative and Non-Cooperative Relaying over VLC Channels
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Waled Gheth; Khaled M. Rabie; Bamidele Adebisi; Muhammad Ijaz; Georgina Harris

    The line-of-sight (LoS) channel is one of the requirements for efficient data transmission in visible-light communications (VLC), but this cannot always be guaranteed in indoor applications for a variety of reasons, such as moving objects and the layout of rooms. The relay-assisted VLC system is one of the techniques that can be used to address this issue and ensures seamless connectivity. This paper

    更新日期:2020-06-30
  • aboratory Evaluations of Correction Equations with Multiple Choices for Seed Low-Cost Particle Sensing Devices in Sensor Networks
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Wen-Cheng Vincent Wang; Shih-Chun Candice Lung; Chun Hu Liu; Chen-Kai Shui

    To tackle the challenge of the data accuracy issues of low-cost sensors (LCSs), the objective of this work was to obtain robust correction equations to convert LCS signals into data comparable to that of research-grade instruments using side-by-side comparisons. Limited sets of seed LCS devices, after laboratory evaluations, can be installed strategically in areas of interest without official monitoring

    更新日期:2020-06-30
  • ault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Thomas Goelles; Birgit Schlager; Stefan Muckenhuber

    Perception sensors such as camera, radar, and lidar have gained considerable popularity in the automotive industry in recent years. In order to reach the next step towards automated driving it is necessary to implement fault diagnosis systems together with suitable mitigation solutions in automotive perception sensors. This is a crucial prerequisite, since the quality of an automated driving function

    更新日期:2020-06-30
  • n Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Valentina Karolj; Alberto Viseras; Luis Merino; Dmitriy Shutin

    Exploration of spatial processes, such as radioactivity or temperature is a fundamental task in many robotic applications. In the literature, robotic exploration is mainly carried out for applications where the environment is a priori known. However, for most real life applications this assumption often does not hold, specifically for disaster scenarios. In this paper, we propose a novel integrated

    更新日期:2020-06-30
  • earning Reward Function with Matching Network for Mapless Navigation
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Qichen Zhang; Meiqiang Zhu; Liang Zou; Ming Li; Yong Zhang

    Deep reinforcement learning (DRL) has been successfully applied in mapless navigation. An important issue in DRL is to design a reward function for evaluating actions of agents. However, designing a robust and suitable reward function greatly depends on the designer’s experience and intuition. To address this concern, we consider employing reward shaping from trajectories on similar navigation tasks

    更新日期:2020-06-30
  • eature Extraction from Building Submetering Networks Using Deep Learning
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Antonio Morán; Serafín Alonso; Daniel Pérez; Miguel A. Prada; Juan José Fuertes; Manuel Domínguez

    The understanding of the nature and structure of energy use in large buildings is vital for defining novel energy and climate change strategies. The advances on metering technology and low-cost devices make it possible to form a submetering network, which measures the main supply and other intermediate points providing information of the behavior of different areas. However, an analysis by means of

    更新日期:2020-06-30
  • nalysis and Testing of a Suitable Compatible Electrode’s Material for Continuous Measurement of Glucose Concentration
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Nikola Slaninova; Klara Fiedorova; Ali Selamat; Karolina Danisova; Jan Kubicek; Ewaryst Tkacz; Martin Augustynek

    The subject of the submitted work is the proposal of electrodes for the continual measurement of the glucose concentration for the purpose of specifying further hemodynamic parameters. The proposal includes the design of the electronic measuring system, the construction of the electrodes themselves and the functionality of the entire system, verified experimentally using various electrode materials

    更新日期:2020-06-30
  • ffects of Artificial Texture Insoles and Foot Arches on Improving Arch Collapse in Flat Feet
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Yao-Te Wang; Jong-Chen Chen; Ying-Sheng Lin

    The arches of the foot play a vital role in cushioning the impact and pressure generated from ground reaction forces due to body weight. Owing to a lack of normal human arch structure, people diagnosed as having flat feet often have discomfort in the soles of their feet. The results may not only cause inappropriate foot pressure distribution on the sole but also further cause foot injuries. This study

    更新日期:2020-06-30
  • nergy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Youngjae Son; Minjae Kang; Younghyun Kim; Ikjune Yoon; Dong Kun Noh

    In solar-powered wireless sensor networks (SP-WSNs), sensor nodes can continuously harvest energy to relieve the energy constraint problem in battery-powered WSNs. With the advent of wireless power transmission (WPT) technology, the nodes can be charged remotely if the energy harvested is insufficient. However, even in SP-WSNs with WPT, an energy imbalance problem is observed, in which the energy consumption

    更新日期:2020-06-30
  • ost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Lei Zhong; Yong Li; Wei Cheng; Yi Zheng

    A novel robust particle filtering algorithm is proposed for updating both the waveform and noise parameter for tracking accuracy simultaneously and adaptively. The approach is a significant step for cognitive radar towards more robust tracking in random dynamic systems with unknown statistics. Meanwhile, as an intelligent sensor, it would be most desirable for cognitive radar to develop the application

    更新日期:2020-06-30
  • hotothermal Sensing of Nano-Devices Made of Graphene Materials
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Xiwen Lu; Lijun Yang; Zhan Yang

    Graphene is widely used as the basic materials of nano optical devices and sensors on account of its special structures and excellent photoelectric properties. Graphene is considered as an ideal material for photodetectors because of its ultra-wide absorption spectrum from the ultraviolet to the terahertz band, ultrahigh carrier mobility and ultrafast photoreaction speed. In this study, a photothermal

    更新日期:2020-06-30
  • ong-Term Tracking of Group-Housed Livestock Using Keypoint Detection and MAP Estimation for Individual Animal Identification
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Eric T. Psota ; Ty Schmidt ; Benny Mote ; Lance C. Pérez 

    Tracking individual animals in a group setting is a exigent task for computer vision and animal science researchers. When the objective is months of uninterrupted tracking and the targeted animals lack discernible differences in their physical characteristics, this task introduces significant challenges. To address these challenges, a probabilistic tracking-by-detection method is proposed. The tracking

    更新日期:2020-06-30
  • hree Dimensional Upper Limb Joint Kinetics of a Golf Swing with Measured Internal Grip Force
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Hyeob Choi; Sukyung Park

    The biomechanics of a golf swing have been of interest to golfers, instructors, and biomechanists. In addition to the complexity of the three-dimensional (3D) dynamics of multi-segments of body, the closed-chain body posture as a result of both hands holding a club together makes it difficult to fully analyze the 3D kinetics of a golf swing. To identify the hand-grip joint force and torque applied

    更新日期:2020-06-30
  • obust H∞-Fuzzy Logic Control for Enhanced Tracking Performance of a Wheeled Mobile Robot in the Presence of Uncertain Nonlinear Perturbations
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Nur Syazreen Ahmad

    Motion control involving DC motors requires a closed-loop system with a suitable compensator if tracking performance with high precision is desired. In the case where structural model errors of the motors are more dominating than the effects from noise disturbances, accurate system modelling will be a considerable aid in synthesizing the compensator. The focus of this paper is on enhancing the tracking

    更新日期:2020-06-30
  • uzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Shahzadi Tayyaba; Muhammad Waseem Ashraf; Thamer Alquthami; Zubair Ahmad; Saher Manzoor

    The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability. A model of a smart home for safe and robust mobility of blind people has been proposed. Fuzzy logic has been used for simulation. Outputs from the internet

    更新日期:2020-06-30
  • An Antidepressant Drug and Environmental Contaminant
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Somayeh Tajik; Hadi Beitollahi; Zahra Dourandish; Kaiqiang Zhang; Quyet Van Le; Thang Phan Nguyen; Soo Young Kim; Mohammadreza Shokouhimehr

    Venlafaxine (VEN), as one of the popular anti-depressants, is widely utilized for the treatment of major depressive disorder, panic disorder, as well as anxiety. This drug influences the chemicals in the brain, which may result in imbalance in depressed individuals. However, venlafaxine and its metabolites are contaminants in water. They have exerted an adverse influence on living organisms through

    更新日期:2020-06-30
  • oad Profile Estimation Using a 3D Sensor and Intelligent Vehicle
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Tao Ni; Wenhang Li; Dingxuan Zhao; Zhifei Kong

    Autonomous vehicles can achieve accurate localization and real-time road information perception using sensors such as global navigation satellite systems (GNSSs), light detection and ranging (LiDAR), and inertial measurement units (IMUs). With road information, vehicles can navigate autonomously to a given position without traffic accidents. However, most of the research on autonomous vehicles has

    更新日期:2020-06-30
  • Weight Matrix Guaranteeing Convergence without Reconfiguration of Edge Weights
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Martin Kenyeres; Jozef Kenyeres

    Efficient data aggregation is crucial for mobile wireless sensor networks, as their resources are significantly constrained. Over recent years, the average consensus algorithm has found a wide application in this technology. In this paper, we present a weight matrix simplifying the average consensus algorithm over mobile wireless sensor networks, thereby prolonging the network lifetime as well as ensuring

    更新日期:2020-06-30
  • ssessment of Gold Bio-Functionalization for Wide-Interface Biosensing Platforms
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Lucia Sarcina; Luisa Torsi; Rosaria Anna Picca; Kyriaki Manoli; Eleonora Macchia

    The continuous improvement of the technical potential of bioelectronic devices for biosensing applications will provide clinicians with a reliable tool for biomarker quantification down to the single molecule. Eventually, physicians will be able to identify the very moment at which the illness state begins, with a terrific impact on the quality of life along with a reduction of health care expenses

    更新日期:2020-06-30
  • on-Selective Carbon Nanotube Field-Effect Transistors for Monitoring Drug Effects on Nicotinic Acetylcholine Receptor Activation in Live Cells
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Youngtak Cho; Viet Anh Pham Ba; Jin-Young Jeong; Yoonji Choi; Seunghun Hong

    We developed ion-selective field-effect transistor (FET) sensors with floating electrodes for the monitoring of the potassium ion release by the stimulation of nicotinic acetylcholine receptors (nAChRs) on PC12 cells. Here, ion-selective valinomycin-polyvinyl chloride (PVC) membranes were coated on the floating electrode-based carbon nanotube (CNT) FETs to build the sensors. The sensors could selectively

    更新日期:2020-06-30
  • imultaneous Estimation of Vehicle Roll and Sideslip Angles through a Deep Learning Approach
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Lisardo Prieto González; Susana Sanz Sánchez; Javier Garcia-Guzman; María Jesús L. Boada; Beatriz L. Boada

    Presently, autonomous vehicles are on the rise and are expected to be on the roads in the coming years. In this sense, it becomes necessary to have adequate knowledge about its states to design controllers capable of providing adequate performance in all driving scenarios. Sideslip and roll angles are critical parameters in vehicular lateral stability. The later has a high impact on vehicles with an

    更新日期:2020-06-30
  • mproved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Sumit Aole; Irraivan Elamvazuthi; Laxman Waghmare; Balasaheb Patre; Fabrice Meriaudeau

    Neurological disorders such as cerebral paralysis, spinal cord injuries[acronym](SCI), and strokes, result in the impairment of motor control and induce functional difficulties to human beings like walking, standing, etc. Physical injuries due to accidents and muscular weaknesses caused by aging [english]affectsaffect people and can cause them to lose their ability to perform daily routine functions

    更新日期:2020-06-30
  • ltrasonic Sensor Fusion Inverse Algorithm for Visually Impaired Aiding Applications
    Sensors (IF 3.275) Pub Date : 2020-06-30
    György Kovács; Szilvia Nagy

    Depth mapping can be carried out by ultrasound measuring devices using the time of flight method. Ultrasound measurements are favorable in such environments, where the light or radio frequency measurements can not be applied due to the noise level, calculation complexity, reaction time, size and price of the device, accuracy or electromagnetic compatibility. It is also usual to apply and fusion ultrasound

    更新日期:2020-06-30
  • ildfire Smoke Adjustment Factors for Low-Cost and Professional PM2.5 Monitors with Optical Sensors
    Sensors (IF 3.275) Pub Date : 2020-06-30
    William W. Delp; Brett C. Singer

    Air quality monitors using low-cost optical PM2.5 sensors can track the dispersion of wildfire smoke; but quantitative hazard assessment requires a smoke-specific adjustment factor (AF). This study determined AFs for three professional-grade devices and four monitors with low-cost sensors based on measurements inside a well-ventilated lab impacted by the 2018 Camp Fire in California (USA). Using the

    更新日期:2020-06-30
  • fficient Star Identification Using a Neural Network
    Sensors (IF 3.275) Pub Date : 2020-06-30
    David Rijlaarsdam; Hamza Yous; Jonathan Byrne; Davide Oddenino; Gianluca Furano; David Moloney

    The required precision for attitude determination in spacecraft is increasing, providing a need for more accurate attitude determination sensors. The star sensor or star tracker provides unmatched arc-second precision and with the rise of micro satellites these sensors are becoming smaller, faster and more efficient. The most critical component in the star sensor system is the lost-in-space star identification

    更新日期:2020-06-30
  • ependent-Gaussian-Process-Based Learning of Joint Torques Using Wearable Smart Shoes for Exoskeleton
    Sensors (IF 3.275) Pub Date : 2020-06-30
    Jiantao Yang; Yuehong Yin

    Estimating the joint torques of lower limbs in human gait is a highly challenging task and of great significance in developing high-level controllers for lower-limb exoskeletons. This paper presents a dependent Gaussian process (DGP)-based learning algorithm for joint-torque estimations with measurements from wearable smart shoes. The DGP was established to perform data fusion, and serves as the mathematical

    更新日期:2020-06-30
  • hallenges for Microelectronics in Non-Invasive Medical Diagnostics
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Marco Carminati; Carlo Fiorini

    Microelectronics is emerging, sometimes with changing fortunes, as a key enabling technology in diagnostics. This paper reviews some recent results and technical challenges which still need to be addressed in terms of the design of CMOS analog application specific integrated circuits (ASICs) and their integration in the surrounding systems, in order to consolidate this technological paradigm. Open

    更新日期:2020-06-29
  • ecure Communications for Resource-Constrained IoT Devices
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Abd-Elhamid M. Taha; Abdulmonem M. Rashwan; Hossam S. Hassanein

    The importance of securing communications on the Internet of Things (IoT) cannot be overstated. This is especially the case in light of the increasing proliferation of IoT devices and instances, as well as the growing dependence on their usage. Meanwhile, there have recently been mounting concerns over a wide array of vulnerabilities in IoT communications. The objective of this work is to address constraints

    更新日期:2020-06-29
  • Novel Vehicle Tracking ID Switches Algorithm for Driving Recording Sensors
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Yun Zhao; Xiang Zhou; Xing Xu; Zeyu Jiang; Fupeng Cheng; Jiahui Tang; Yuan Shen

    The main task for real-time vehicle tracking is establishing associations with objects in consecutive frames. After occlusion occurs between vehicles during the tracking process, the vehicle is given a new ID when it is tracked again. In this study, a novel method to track vehicles between video frames was constructed. This method was applied on driving recorder sensors. The neural network model was

    更新日期:2020-06-29
  • ully Implantable Low-Power High Frequency Range Optoelectronic Devices for Dual-Channel Modulation in the Brain
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Woo Seok Kim; Minju Jeong; Sungcheol Hong; Byungkook Lim; Sung Il Park

    Wireless optoelectronic devices can deliver light to targeted regions in the brain and modulate discrete circuits in an animal that is awake. Here, we propose a miniaturized fully implantable low-power optoelectronic device that allows for advanced operational modes and the stimulation/inhibition of deep brain circuits in a freely-behaving animal. The combination of low power control logic circuits

    更新日期:2020-06-29
  • ndirect Sensing of Lower Aliphatic Ester Using Atomic Gold Decorated Polyaniline Electrode
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Parthojit Chakraborty; Yu-An Chien; Tso-Fu Mark Chang; Masato Sone; Takamichi Nakamoto

    Novel sensing materials have been formed by decorating polyaniline conducting polymers with atomic gold clusters where the number of atoms is precisely defined. Such materials exhibit unique electrocatalytic properties of electrooxidation to aliphatic alcohols, although analytes with other functional groups have not been studied. This paper reports a study of cyclic voltammetric patterns obtained with

    更新日期:2020-06-29
  • owards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Francesca Manni; Adrian Elmi-Terander; Gustav Burström; Oscar Persson; Erik Edström; Ronald Holthuizen; Caifeng Shan; Svitlana Zinger; Fons van der Sommen; Peter H. N. de With

    Surgical navigation systems are increasingly used for complex spine procedures to avoid neurovascular injuries and minimize the risk for reoperations. Accurate patient tracking is one of the prerequisites for optimal motion compensation and navigation. Most current optical tracking systems use dynamic reference frames (DRFs) attached to the spine, for patient movement tracking. However, the spine itself

    更新日期:2020-06-29
  • A Multi-Sensor Approach Utilising Machine Learning-Based Regression
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Alessandro Simeone; Elliot Woolley; Josep Escrig; Nicholas James Watson

    Effectively cleaning equipment is essential for the safe production of food but requires a significant amount of time and resources such as water, energy, and chemicals. To optimize the cleaning of food production equipment, there is the need for innovative technologies to monitor the removal of fouling from equipment surfaces. In this work, optical and ultrasonic sensors are used to monitor the fouling

    更新日期:2020-06-29
  • A Transfer Learning Method
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Haining Liu; Yuping Wu; Yingchang Cao; Wenjun Lv; Hongwei Han; Zerui Li; Ji Chang

    Recent years have witnessed the development of the applications of machine learning technologies to well logging-based lithology identification. Most of the existing work assumes that the well loggings gathered from different wells share the same probability distribution; however, the variations in sedimentary environment and well-logging technique might cause the data drift problem; i.e., data of

    更新日期:2020-06-29
  • dvanced Intelligent Control through Versatile Intelligent Portable Platforms
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Luige Vladareanu

    Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research. The innovative multi-sensor fusion techniques, integrated through the Versatile Intelligent Portable (VIP) platforms are developed, combined with computer vision, virtual

    更新日期:2020-06-29
  • pCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Weina Niu; Rong Cao; Xiaosong Zhang; Kangyi Ding; Kaimeng Zhang; Ting Li

    Due to the openness of an Android system, many Internet of Things (IoT) devices are running the Android system and Android devices have become a common control terminal for IoT devices because of various sensors on them. With the popularity of IoT devices, malware on Android-based IoT devices is also increasing. People’s lives and privacy security are threatened. To reduce such threat, many researchers

    更新日期:2020-06-29
  • Classification and Engineering Design Review
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Musa Galimov; Roman Fedorenko; Alexander Klimchik

    Landing platforms’ automation is aimed at servicing vertical take-off and landing UAVs between flights and maintaining their airworthiness. Over the last few years, different designs for the landing platforms have been proposed. This shows a strong development and establishment of automatic landing platforms with UAV positioning devices on the landing site. Positioning and safe fixation of the UAV

    更新日期:2020-06-29
  • omparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition Performance
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Sebastian Scheurer; Salvatore Tedesco; Brendan O’Flynn; Kenneth N. Brown

    The distinction between subject-dependent and subject-independent performance is ubiquitous in the human activity recognition (HAR) literature. We assess whether HAR models really do achieve better subject-dependent performance than subject-independent performance, whether a model trained with data from many users achieves better subject-independent performance than one trained with data from a single

    更新日期:2020-06-29
  • esign of an Edge-Detection CMOS Image Sensor with Built-in Mask Circuits
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Minhyun Jin; Hyeonseob Noh; Minkyu Song; Soo Youn Kim

    In this paper, we propose a complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that has built-in mask circuits to selectively capture either edge-detection images or normal 8-bit images for low-power computer vision applications. To detect the edges of images in the CIS, neighboring column data are compared in in-column memories after column-parallel analog-to-digital conversion with

    更新日期:2020-06-29
  • utomated Calibration System for Digital Multimeters Not Equipped with a Communication Interface
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Grzegorz Grzeczka; Maciej Klebba

    This article is focused on the calibration of digital multimeters, in which the concept and practical solutions for stations with software for automatic calibration are presented. This paper also presents the general structure of the measuring system, the application scheme, and the technical implementation of measuring stations, together with the software.

    更新日期:2020-06-29
  • edestrian Detection Algorithm for Intelligent Vehicles in Complex Scenarios
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Jingwei Cao; Chuanxue Song; Silun Peng; Shixin Song; Xu Zhang; Yulong Shao; Feng Xiao

    Pedestrian detection is an important aspect of the development of intelligent vehicles. To address problems in which traditional pedestrian detection is susceptible to environmental factors and are unable to meet the requirements of accuracy in real time, this study proposes a pedestrian detection algorithm for intelligent vehicles in complex scenarios. YOLOv3 is one of the deep learning-based object

    更新日期:2020-06-29
  • n Integrated Gold-Film Temperature Sensor for In Situ Temperature Measurement of a High-Precision MEMS Accelerometer
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Xiaoxiao Song; Huafeng Liu; Yanyan Fang; Chun Zhao; Ziqiang Qu; Qiu Wang; Liang-Cheng Tu

    Temperature sensors are one of the most important types of sensors, and are employed in many applications, including consumer electronics, automobiles and environmental monitoring. Due to the need to simultaneously measure temperature and other physical quantities, it is often desirable to integrate temperature sensors with other physical sensors, including accelerometers. In this study, we introduce

    更新日期:2020-06-29
  • Strategy for Efficient and Precise Sector-Scanning Using Freedom of Underwater Walking Robot in Shallow Water
    Sensors (IF 3.275) Pub Date : 2020-06-29
    Hyuk Baek; Bong-Huan Jun; Myounggyu D. Noh

    In this paper, we discuss underwater walking robot technology to improve the quality of raw data in sector-scanning sonar images. We propose a strategy for an efficient and precise sector-scanning sonar image acquisition method for use in shallow, strong tidal water with a curved and sloped seabed environment. We verified the strategy by analyzing images acquired through a sea trial using the sector-scanning

    更新日期:2020-06-29
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