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  • Capacitively-Fed Inverted-F Antenna for Displacement Detection in Structural Health Monitoring
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Songtao Xue; Zhiquan Zheng; Shuai Guan; Liyu Xie; Guochun Wan; Chunfeng Wan

    This paper presents a capacitive displacement sensor based on a capacitively fed inverted-F antenna (CFIFA) for displacement detection. The sensor is composed of a grounded L-shape patch and a rectangular upper patch, forming a capacitor between them. The asymmetric dipole model is adopted to explain the frequency shift and current distribution of the proposed antenna sensor at its first-order resonance

    更新日期:2020-09-18
  • rray of Horns Fed by a Transverse Slotted Groove Gap Waveguide at 28 GHz
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Malcolm Ng Mou Kehn; Chih-Kai Hsieh; Eva Rajo-Iglesias

    An array of low profile horns fed by transverse slots on a groove gap waveguide (GGWG) is presented. The GGWG is implemented with glide symmetrical holes and the design frequency is 28 GHz. The low profile horns are integrated in the same waveguide wall as the slots. The designed antenna is a linear array of these horns but the solution can be easily extended to a planar array. Experimental results

    更新日期:2020-09-18
  • tress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Sami Elzeiny; Marwa Qaraqe

    Stress is subjective and is manifested differently from one person to another. Thus, the performance of generic classification models that classify stress status is crude. Building a person-specific model leads to a reliable classification, but it requires the collection of new data to train a new model for every individual and needs periodic upgrades because stress is dynamic. In this paper, a new

    更新日期:2020-09-18
  • onitoring Soil Moisture Dynamics Using Electrical Resistivity Tomography under Homogeneous Field Conditions
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Steven M. de Jong; Renée A. Heijenk; Wiebe Nijland; Mark van der Meijde

    There is a gap between lab experiments where resistivity–soil moisture relations are generally very good and field studies in complex environmental settings where relations are always less good and complicated by many factors. An experiment was designed where environmental settings are more controlled, the best outside laboratory, to assess the transferability from lab to outdoor. A field experiment

    更新日期:2020-09-18
  • ombination of Multivariate Standard Addition Technique and Deep Kernel Learning Model for Determining Multi-Ion in Hydroponic Nutrient Solution
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Vu Ngoc Tuan; Abdul Mateen Khattak; Hui Zhu; Wanlin Gao; Minjuan Wang

    Ion-selective electrodes (ISEs) have recently become the most attractive tools for the development of efficient hydroponic systems. Nevertheless, some inherent shortcomings such as signal drifts, secondary ion interferences, and effected high ionic strength make them difficult to apply in a hydroponic system. To minimize these deficiencies, we combined the multivariate standard addition (MSAM) sampling

    更新日期:2020-09-18
  • etecting Defects on Solid Wood Panels Based on an Improved SSD Algorithm
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Fenglong Ding; Zilong Zhuang; Ying Liu; Dong Jiang; Xiaoan Yan; Zhengguang Wang

    Wood is widely used in construction, the home, and art applications all over the world because of its good mechanical properties and aesthetic value. However, because the growth and preservation of wood are greatly affected by the environment, it often contains different types of defects that affect its performance and ornamental value. To solve the issues of high labor costs and low efficiency in

    更新日期:2020-09-18
  • ffect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Hyunsoo Yu; Oh-Soon Shin; Sayup Kim; Cheolsoo Park

    Several studies, wherein the structure or rigidity of a mattress was varied, have been conducted to improve sleep quality. These studies investigated the effect of variation in the surface characteristics of mattresses on sleep quality. The present study developed a mattress whose rigidity can be varied by controlling the amount of air in its air cells. To investigate the effect of the variable rigidity

    更新日期:2020-09-18
  • emantic Segmentation of a Printed Circuit Board for Component Recognition Based on Depth Images
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Dongnian Li; Changming Li; Chengjun Chen; Zhengxu Zhao

    Locating and identifying the components mounted on a printed circuit board (PCB) based on machine vision is an important and challenging problem for automated PCB inspection and automated PCB recycling. In this paper, we propose a PCB semantic segmentation method based on depth images that segments and recognizes components in the PCB through pixel classification. The image training set for the PCB

    更新日期:2020-09-18
  • ser-Experience with Haptic Feedback Technologies and Text Input in Interactive Multimedia Devices
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Bruno Silva; Hugo Costelha; Luis C. Bento; Marcio Barata; Pedro Assuncao

    Remote control devices are commonly used for interaction with multimedia equipment and applications (e.g., smart TVs, gaming, etc.). To improve conventional keypad-based technologies, haptic feedback and user input capabilities are being developed for enhancing the UX and providing advanced functionalities in remote control devices. Although the sensation provided by haptic feedback is similar to mechanical

    更新日期:2020-09-18
  • nderstanding Data-Driven Cyber-Physical-Social System (D-CPSS) Using a 7C Framework in Social Manufacturing Context
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Dao Yin; Xinguo Ming; Xianyu Zhang

    The trend towards socialization, personalization and servitization in smart manufacturing has attracted the attention of researchers, practitioners and governments. Social manufacturing is a novel manufacturing paradigm responding to this trend. However, the current cyber–physical system (CPS) merges only cyber and physical space; social space is missing. A cyber–physical–social system (CPSS)-based

    更新日期:2020-09-18
  • etworked Roadside Perception Units for Autonomous Driving
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Manabu Tsukada; Takaharu Oi; Masahiro Kitazawa; Hiroshi Esaki

    Vehicle-to-Everything (V2X) communication enhances the capability of autonomous driving through better safety, efficiency, and comfort. In particular, sensor data sharing, known as cooperative perception, is a crucial technique to accommodate vulnerable road users in a cooperative intelligent transport system (ITS). In this paper, we describe a roadside perception unit (RSPU) that combines sensors

    更新日期:2020-09-18
  • ntibody Modified Gold Electrode as an Impedimetric Biosensor for the Detection of Streptococcus pyogenes
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Natalia Malinowska; Wioleta Białobrzeska; Tomasz Łęga; Katarzyna Pałka; Karolina Dziąbowska; Sabina Żołędowska; Elżbieta Czaczyk; Katarzyna Pala; Dawid Nidzworski

    Streptococcus pyogenes is a known cause of a wide spectrum of diseases, from mild and acute to severe invasive infections. This paper concerns the development of a novel impedimetric biosensor for the detection of the mentioned human pathogen. The proposed biosensor is a gold disk electrode modified with commercially available antibodies attached to the surface of the electrode by carbodiimide chemistry

    更新日期:2020-09-18
  • PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications
    Sensors (IF 3.275) Pub Date : 2020-09-17
    José R. García-Martínez; Edson E. Cruz-Miguel; Roberto V. Carrillo-Serrano; Fortino Mendoza-Mondragón; Manuel Toledano-Ayala; Juvenal Rodríguez-Reséndiz

    Motion control is widely used in industrial applications since machinery, robots, conveyor bands use smooth movements in order to reach a desired position decreasing the steady error and energy consumption. In this paper, a new Proportional-Integral-Derivative (PID) -type fuzzy logic controller (FLC) tuning strategy that is based on direct fuzzy relations is proposed in order to compute the PID constants

    更新日期:2020-09-18
  • eep Spectral-Spatial Features of Near Infrared Hyperspectral Images for Pixel-Wise Classification of Food Products
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Hongyan Zhu; Aoife Gowen; Hailin Feng; Keping Yu; Jun-Li Xu

    Hyperspectral imaging (HSI) emerges as a non-destructive and rapid analytical tool for assessing food quality, safety, and authenticity. This work aims to investigate the potential of combining the spectral and spatial features of HSI data with the aid of deep learning approach for the pixel-wise classification of food products. We applied two strategies for extracting spatial-spectral features: (1)

    更新日期:2020-09-18
  • A Systematic Literature Review
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Muhammad Tausif Irshad; Muhammad Adeel Nisar; Philip Gouverneur; Marion Rapp; Marcin Grzegorzek

    General movements (GMs) are spontaneous movements of infants up to five months post-term involving the whole body varying in sequence, speed, and amplitude. The assessment of GMs has shown its importance for identifying infants at risk for neuromotor deficits, especially for the detection of cerebral palsy. As the assessment is based on videos of the infant that are rated by trained professionals,

    更新日期:2020-09-18
  • omparative Study of Three Mixing Methods in Fusion Technique for Determining Major and Minor Elements Using Wavelength Dispersive X-ray Fluorescence Spectroscopy
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Dan-Ping Zhang; Ding-Shuai Xue; Yan-Hong Liu; Bo Wan; Qian Guo; Ju-Jie Guo

    Accurate analysis using a simple and rapid procedure is always the most important pursuit of analytical chemists. In this study, a new sample preparation procedure, namely the shaker cup (SH) method, was designed and compared with two sample preparation procedures, commonly used in the laboratory, from three aspects: homogeneity of the sample–flux mixture, potential for sample contamination, and sample

    更新日期:2020-09-18
  • nvironmental Impacts on Hardware-Based Link Quality Estimators in Wireless Sensor Networks
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Wei Liu; Yu Xia; Daqing Zheng; Jian Xie; Rong Luo; Shunren Hu

    Hardware-based link quality estimators (LQEs) in wireless sensor networks generally use physical layer parameters to estimate packet reception ratio, which has advantages of high agility and low overhead. However, many existing studies didn’t consider the impacts of environmental changes on the applicability of these estimators. This paper compares the performance of typical hardware-based LQEs in

    更新日期:2020-09-18
  • rtificial Intelligence-Based Bolt Loosening Diagnosis Using Deep Learning Algorithms for Laser Ultrasonic Wave Propagation Data
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Dai Quoc Tran; Ju-Won Kim; Kassahun Demissie Tola; Wonkyu Kim; Seunghee Park

    The application of deep learning (DL) algorithms to non-destructive evaluation (NDE) is now becoming one of the most attractive topics in this field. As a contribution to such research, this study aims to investigate the application of DL algorithms for detecting and estimating the looseness in bolted joints using a laser ultrasonic technique. This research was conducted based on a hypothesis regarding

    更新日期:2020-09-18
  • Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Clarence Tan; Gerardo Ceballos; Nikola Kasabov; Narayan Puthanmadam Subramaniyam

    Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends in affective computing. Several studies have utilized state of the art deep learning methods and combined physiological signals, such as the electrocardiogram (EEG), electroencephalogram (ECG), skin temperature, along with facial expressions, voice, posture to name a few, in order to classify emotions

    更新日期:2020-09-18
  • on-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Andrés Sio-Sever; Erardo Leal-Muñoz; Juan Manuel Lopez-Navarro; Ricardo Alzugaray-Franz; Antonio Vizan-Idoipe; Guillermo de Arcas-Castro

    This work presents a non-invasive and low-cost alternative to traditional methods for measuring the performance of machining processes directly on existing machine tools. A prototype measuring system has been developed based on non-contact microphones, a custom designed signal conditioning board and signal processing techniques that take advantage of the underlying physics of the machining process

    更新日期:2020-09-18
  • xploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Sorin Cheval; Alexandru Dumitrescu; Vlad-Alexandru Amihaesei

    The Landsat 8 satellites have retrieved land surface temperature (LST) resampled at a 30-m spatial resolution since 2013, but the urban climate studies frequently use a limited number of images due to the problems related to missing data over the city of interest. This paper endorses a procedure for building a long-term gap-free LST data set in an urban area using the high-resolution Landsat 8 imagery

    更新日期:2020-09-18
  • atural Frequency Response Evaluation for RC Beams Affected by Steel Corrosion Using Acceleration Sensors
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Yuwei Zhang; Yongchun Cheng; Guojin Tan; Xiang Lyu; Xun Sun; Yunshuo Bai; Shuting Yang

    This paper presented a laboratory investigation for analyzing the natural frequency response of reinforced concrete (RC) beams affected by steel corrosion. The electrochemical acceleration technique induced the corroded RC beams until the predetermined value of the steel corrosion ratio was achieved. Then, the natural frequency responses of the corroded beams were tested utilizing piezoelectric acceleration

    更新日期:2020-09-18
  • nvestigating Electrical Impedance Spectroscopy for Estimating Blood Flow-Induced Variations in Human Forearm
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Gautam Anand; Andrew Lowe

    This work aims to investigate the feasibility of employing multi-frequency bioimpedance analysis for hemodynamic assessment. Towards this, we aim to explore one of its implementations, electrical impedance spectroscopy (EIS), for estimating changes in radial artery diameter due to blood flow. Following from our previous investigations, here, we use a commercial device—the Quadra® Impedance Spectroscopy

    更新日期:2020-09-18
  • An Adaptive Sequential Sampling and Automatic Model Selection for Artificial Intelligence Surrogate Modeling
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Carlos A. Duchanoy; Hiram Calvo; Marco A. Moreno-Armendáriz

    Surrogate Modeling (SM) is often used to reduce the computational burden of time-consuming system simulations. However, continuous advances in Artificial Intelligence (AI) and the spread of embedded sensors have led to the creation of Digital Twins (DT), Design Mining (DM), and Soft Sensors (SS). These methodologies represent a new challenge for the generation of surrogate models since they require

    更新日期:2020-09-18
  • terative K-Closest Point Algorithms for Colored Point Cloud Registration
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Ouk Choi; Min-Gyu Park; Youngbae Hwang

    We present two algorithms for aligning two colored point clouds. The two algorithms are designed to minimize a probabilistic cost based on the color-supported soft matching of points in a point cloud to their K-closest points in the other point cloud. The first algorithm, like prior iterative closest point algorithms, refines the pose parameters to minimize the cost. Assuming that the point clouds

    更新日期:2020-09-18
  • ynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Zoe Valero-Ramon; Carlos Fernandez-Llatas; Bernardo Valdivieso; Vicente Traver

    Rich streams of continuous data are available through Smart Sensors representing a unique opportunity to develop and analyse risk models in healthcare and extract knowledge from data. There is a niche for developing new algorithms, and visualisation and decision support tools to assist health professionals in chronic disease management incorporating data generated through smart sensors in a more precise

    更新日期:2020-09-18
  • urgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Eric L. Wisotzky; Jean-Claude Rosenthal; Ulla Wege; Anna Hilsmann; Peter Eisert; Florian C. Uecker

    We develop a stereo-multispectral endoscopic prototype in which a filter-wheel is used for surgical guidance to remove cholesteatoma tissue in the middle ear. Cholesteatoma is a destructive proliferating tissue. The only treatment for this disease is surgery. Removal is a very demanding task, even for experienced surgeons. It is very difficult to distinguish between bone and cholesteatoma. In addition

    更新日期:2020-09-18
  • Monitoring of Wind Turbine Blade Bending Using 3D Accelerometers and Model-Based Bending Shapes
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Theresa Loss; Alexander Bergmann

    Increasing the length of wind turbine blades for maximum energy capture leads to larger loads and forces acting on the blades. In particular, alternate bending due to gravity or nonuniform wind profiles leads to increased loads and imminent fatigue. Therefore, blade monitoring in operation is needed to optimise turbine settings and, consequently, to reduce alternate bending. In our approach, an acceleration

    更新日期:2020-09-18
  • volutionary Algorithm Based Capacity Maximization of 5G/B5G Hybrid Pre-Coding Systems
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Salman Khalid; Waqas Bin Abbas; Hyung Seok Kim; Muhammad Tabish Niaz

    Hybrid pre-coding strategies are considered as a potential solution for combating path loss experienced by Massive MIMO systems operating at millimeter wave frequencies. The partially connected structure is preferred over the fully connected structure due to smaller computational complexity. In order to improve the spectral efficiency of a partially connected hybrid pre-coding architecture, which is

    更新日期:2020-09-18
  • ccuracy of Solid-State Residential Water Meters under Intermittent Flow Conditions
    Sensors (IF 3.275) Pub Date : 2020-09-17
    Francisco J. Arregui; Laura Pastor-Jabaloyes; Angel V. Mercedes; Francesc J. Gavara

    Accurate water consumption measurement of customers is a crucial component of water utility sustainability. During the last decade, sophisticated measuring technologies without moving components, known as solid-state water meters or static meters, have emerged. Solid-state water meters promise an improved accuracy with more processing and transmission capabilities in comparison with traditional mechanical

    更新日期:2020-09-18
  • ecentralized Privacy-Preserving Data Aggregation Scheme for Smart Grid Based on Blockchain
    Sensors (IF 3.275) Pub Date : 2020-09-15
    Hongbin Fan; Yining Liu; Zhixin Zeng

    As a next-generation power system, the smart grid can implement fine-grained smart metering data collection to optimize energy utilization. Smart meters face serious security challenges, such as a trusted third party or a trusted authority being attacked, which leads to the disclosure of user privacy. Blockchain provides a viable solution that can use its key technologies to solve this problem. Blockchain

    更新日期:2020-09-16
  • dentification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Muhammad Tariq Sadiq; Xiaojun Yu; Zhaohui Yuan; Muhammad Zulkifal Aziz

    The development of fast and robust brain–computer interface (BCI) systems requires non-complex and efficient computational tools. The modern procedures adopted for this purpose are complex which limits their use in practical applications. In this study, for the first time, and to the best of our knowledge, a successive decomposition index (SDI)-based feature extraction approach is utilized for the

    更新日期:2020-09-16
  • eterministic 3D Ray-Launching Millimeter Wave Channel Characterization for Vehicular Communications in Urban Environments
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Fidel Alejandro Rodríguez-Corbo; Leyre Azpilicueta; Mikel Celaya-Echarri; Peio Lopez-Iturri; Imanol Picallo; Francisco Falcone; Ana Vazquez Alejos

    The increasing demand for more sensors inside vehicles pursues the intention of making vehicles more “intelligent”. In this context, the vision of fully connected and autonomous cars is becoming more tangible and will turn into a reality in the coming years. The use of these intelligent transport systems will allow the integration of efficient performance in terms of route control, fuel consumption

    更新日期:2020-09-16
  • ow Power CMOS-Based Hall Sensor with Simple Structure Using Double-Sampling Delta-Sigma ADC
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Ju Yong Lee; Younggyun Oh; Sein Oh; Hyungil Chae

    A CMOS (Complementary metal-oxide-semiconductor) Hall sensor with low power consumption and simple structure is introduced. The tiny magnetic signal from Hall device could be detected by a high-resolution delta-sigma ADC in presence of offset and flickering noise. Also, the offset as well as the flickering noise are effectively suppressed by the current spinning technique combined with double sampling

    更新日期:2020-09-16
  • atalytic Gold Deposition for Ultrasensitive of Prostate Specific Antigen
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Laura Cid-Barrio; Jorge Ruiz Encinar; José Manuel Costa-Fernández

    A major challenge in the development of bioanalytical methods is to achieve a rapid and robust quantification of disease biomarkers present at very low concentration levels in complex biological samples. An immunoassay platform is presented herein for ultrasensitive and fast detection of the prostate-specific antigen (PSA), a well-recognized cancer biomarker. A sandwich type immunosensor has been developed

    更新日期:2020-09-16
  • ognitive Radio Networks for Internet of Things and Wireless Sensor Networks
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Heejung Yu; Yousaf Bin Zikria

    Recent innovation, growth, and deployment of internet of things (IoT) networks are changing the daily life of people. 5G networks are widely deployed around the world, and they are important for continuous growth of IoT. The next generation cellular networks and wireless sensor networks (WSN) make the road to the target of the next generation IoT networks. The challenges of the next generation IoT

    更新日期:2020-09-16
  • patial Modulation and MP-WFRFT-Aided Multi-Beam Wireless Communication Scheme Based On Random Frequency Diverse Array
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Jianbang Gao; Bin Qiu; Jing Zhou

    A security-enhanced, spectral-efficient, and power-efficient multi-beam wireless communication scheme based on random frequency diverse array (RFDA) is proposed in this paper. (AN)-aided directional modulation (DM) schemes. Furthermore, with the aid of spatial modulation (SM) technology and cooperative legitimate users (LUs), we can transmit more information bits by the use of LU number informations

    更新日期:2020-09-16
  • Novel NiFe2O4/Paper-Based Magnetoelastic Biosensor to Detect Human Serum Albumin
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Xing Guo; Rong Liu; Hongmei Li; Jingzhe Wang; Zhongyun Yuan; Wendong Zhang; Shengbo Sang

    For the first time, a novel NiFe2O4/paper-based magnetoelastic (ME) biosensor was developed for rapid, sensitive, and portable detection of human serum albumin (HSA). Due to the uniquely magnetoelastic effect of NiFe2O4 nanoparticles and the excellent mechanical properties of the paper, the paper-based ME biosensor transforms the surface stress signal induced by the specific binding of HSA and antibody

    更新日期:2020-09-16
  • Ratio Model of L1/L2 Norm for Sound Source Identification
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Linsen Huang; Zhongming Xu; Zhifei Zhang; Yansong He

    In the field of sound source identification, robust and accurate identification of the targeted source could be a challenging task. Most of the existing methods select the regularization parameters whose value could directly affect the accuracy of sound source identification during the solving processing. In this paper, we introduced the ratio model ℓ1/ℓ2 norm to identify the sound source(s) in the

    更新日期:2020-09-16
  • An Empirical Study
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Gerardo Aranguren; Josu Etxaniz; Sergio Cantero-Chinchilla; Jose M. Gil-Garcia; Muhammad Khalid Malik

    Structural health monitoring comprises a set of techniques to detect defects appearing in structures. One of the most viable techniques is based on the guided ultrasonic wave test (UGWT), which consists of emitting waves throughout the structure, acquiring the emitted waves with various sensors, and processing the waves to detect changes in the structure. The UGWT of layered composite structures is

    更新日期:2020-09-16
  • Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Mingwei Zhang; Weipeng Jing; Jingbo Lin; Nengzhen Fang; Wei Wei; Marcin Woźniak; Robertas Damaševičius

    The segmentation of high-resolution (HR) remote sensing images is very important in modern society, especially in the fields of industry, agriculture and urban modelling. Through the neural network, the machine can effectively and accurately extract the surface feature information. However, using the traditional deep learning methods requires plentiful efforts in order to find a robust architecture

    更新日期:2020-09-16
  • utomatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Pau Muñoz-Benavent; Vicente Puig-Pons; Gabriela Andreu-García; Víctor Espinosa; Vicente Atienza-Vanacloig; Isabel Pérez-Arjona

    A proposal is described for an underwater sensor combining an acoustic device with an optical one to automatically size juvenile bluefin tuna from a ventral perspective. Acoustic and optical information is acquired when the tuna are swimming freely and the fish cross our combined sensor’s field of view. Image processing techniques are used to identify and classify fish traces in acoustic data (echogram)

    更新日期:2020-09-16
  • owards an Ultra Sensitive Hybrid Mass Sensor Based on Mode Localization without Resonance Tracking
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Claude Humbert; Vincent Walter; Najib Kacem; Thérèse Leblois

    We present a mode localized mass sensor prototype based on a hybrid system excited at a fixed frequency slightly below the resonances. Indeed, we show, both theoretically and experimentally, that this condition yields higher sensitivities and similar sensitivity ranges than that of resonance peak tracking while being less time consuming than a classical open-loop configuration due to the absence of

    更新日期:2020-09-16
  • Heterogeneous Edge-Fog Environment Supporting Digital Twins for Remote Inspections
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Luiz A. Z. da Silva; Vinicius F. Vidal; Leonardo M. Honório; Mário A. R. Dantas; Milena Faria Pinto; Miriam Capretz

    The increase in the development of digital twins brings several advantages to inspection and maintenance, but also new challenges. Digital models capable of representing real equipment for full remote inspection demand the synchronization, integration, and fusion of several sensors and methodologies such as stereo vision, monocular Simultaneous Localization and Mapping (SLAM), laser and RGB-D camera

    更新日期:2020-09-16
  • A Blockchain Traceability System for Insider Threats
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Teng Hu; Bangzhou Xin; Xiaolei Liu; Ting Chen; Kangyi Ding; Xiaosong Zhang

    The insider threats have always been one of the most severe challenges to cybersecurity. It can lead to the destruction of the organisation’s internal network system and information leakage, which seriously threaten the confidentiality, integrity and availability of data. To make matters worse, since the attacker has authorized access to the internal network, they can launch the attack from the inside

    更新日期:2020-09-16
  • rediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Chen Sun; Luwei Feng; Zhou Zhang; Yuchi Ma; Trevor Crosby; Mack Naber; Yi Wang

    Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the environment. Recently, unmanned aerial vehicles (UAVs) have become increasingly popular in precision agriculture due to their flexibility in data acquisition

    更新日期:2020-09-16
  • esistance of IoT Sensors against DDoS Attack in Smart Home Environment
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Ladislav Huraj; Marek Šimon; Tibor Horák

    Smart devices along with sensors are gaining in popularity with the promise of making life easier for the owner. As the number of sensors in an Internet of Things (IoT) system grows, a question arises as to whether the transmission between the sensors and the IoT devices is reliable and whether the user receives alerts correctly and in a timely manner. Increased deployment of IoT devices with sensors

    更新日期:2020-09-16
  • owards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Ladislav Stanke; Jan Kubicek; Dominik Vilimek; Marek Penhaker; Martin Cerny; Martin Augustynek; Nikola Slaninova; Muhammad Usman Akram

    Wavelet transformation is one of the most frequent procedures for data denoising, smoothing, decomposition, features extraction, and further related tasks. In order to perform such tasks, we need to select appropriate wavelet settings, including particular wavelet, decomposition level and other parameters, which form the wavelet transformation outputs. Selection of such parameters is a challenging

    更新日期:2020-09-16
  • IDE—A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Renjie He; Xintao Guo; Zhongke Shi

    Single image dehazing is a difficult problem because of its ill-posed nature. Increasing attention has been paid recently as its high potential applications in many visual tasks. Although single image dehazing has made remarkable progress in recent years, they are mainly designed for haze removal in daytime. In nighttime, dehazing is more challenging where most daytime dehazing methods become invalid

    更新日期:2020-09-16
  • omputer Vision Tool-Setting System of Numerical Control Machine Tool
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Bo Hou; Congpeng Zhang; Shoubo Yang

    An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine

    更新日期:2020-09-16
  • erformance Characterization of the Smartphone Video Guidance Sensor as Vision-Based Positioning System
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Nasir Hariri; Hector Gutierrez; John Rakoczy; Richard Howard; Ivan Bertaska

    The Smartphone Video Guidance Sensor (SVGS) is a vision-based sensor that computes the six-state position and orientation vector of a target relative to a coordinate system attached to a smartphone. This paper presents accuracy-characterization measurements of the Smartphone Video Guidance Sensor (SVGS) to assess its performance as a position and attitude estimator, evaluating its accuracy in linear

    更新日期:2020-09-16
  • oil Positioning for Wireless Power Transfer System of Automatic Guided Vehicle Based on Magnetic Sensing
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Ce Liang; Yanchi Zhang; Zhonggang Li; Feng Yuan; Guang Yang; Kai Song

    As an auxiliary function of the wireless power transfer (WPT) system, coil positioning can solve the power and efficiency degradation during power transmission caused by misalignment of the magnetic coupler. In this paper, a Hall sensor array is used to measure the change of magnetic flux density. By comparing the multisensor data fusion results with the preset data obtained from the coil alignment

    更新日期:2020-09-16
  • A Versatile Material Platform for Optical Sensors
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Carlos Angulo Barrios

    Pressure sensitive adhesive (PSA) tapes are a versatile, safe and easy-to-use solution for fastening, sealing, masking, or joining. They are widely employed in daily life, from domestic use to industrial applications in sectors such as construction and the automotive industry. In recent years, PSA tapes have found a place in the field of micro- and nanotechnology, particularly in contact transfer techniques

    更新日期:2020-09-16
  • umerical Simulation of Optical Sensing by the Far Field Pattern Radiated by Periodic Grating Strips Over Silica Buffer on the Silicon Wire Waveguide
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Andrei Tsarev; Vittorio M. N. Passaro

    This paper presents results of numerical modeling of a modified design of an optical sensor based on segmented periodic silicon oxynitride (SiON) grating evanescently coupled with silicon wire. This segmented grating works as a leaky waveguide, which filters input power from a broadband optical source and radiates it as an outcoming optical beam with both a small wavelength band and a small beam divergence

    更新日期:2020-09-16
  • Novel Piecewise Frequency Control Strategy based on Fractional-Order Filter for Coordinating Vibration Isolation and Positioning of Supporting System
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Yeying Tao; Wei Jiang; Bin Han; Xiaoqing Li; Ying Luo; Lizhan Zeng

    A piecewise frequency control (PFC) strategy is proposed in this paper for coordinating vibration isolation and positioning of supporting systems under complex disturbance conditions, such as direct and external disturbances. This control strategy is applied in an active-passive parallel supporting system, where relative positioning feedback for positioning and absolute velocity feedback for active

    更新日期:2020-09-16
  • Low Power Sigma-Delta Modulator with Hybrid Architecture
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Shengbiao An; Shuang Xia; Yue Ma; Arfan Ghani; Chan Hwang See; Raed A. Abd-Alhameed; Chuanfeng Niu; Ruixia Yang

    Analogue-to-digital converters (ADC) using oversampling technology and the Σ-∆ modulation mechanism are widely applied in digital audio systems. This paper presents an audio modulator with high accuracy and low power consumption by using a discrete second-order feedforward structure. A 5-bit successive approximation register (SAR) quantizer is integrated into the chip, which reduces the number of comparators

    更新日期:2020-09-16
  • ariational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina Molina; Aggelos K. Katsaggelos

    Pansharpening is a technique that fuses a low spatial resolution multispectral image and a high spatial resolution panchromatic one to obtain a multispectral image with the spatial resolution of the latter while preserving the spectral information of the multispectral image. In this paper we propose a variational Bayesian methodology for pansharpening. The proposed methodology uses the sensor characteristics

    更新日期:2020-09-16
  • A Novel Multivariate Intrusion Detection System for Smart Grid
    Sensors (IF 3.275) Pub Date : 2020-09-16
    Panagiotis Radoglou Grammatikis; Panagiotis Sarigiannidis; Georgios Efstathopoulos; Emmanouil Panaousis

    The advent of the Smart Grid (SG) raises severe cybersecurity risks that can lead to devastating consequences. In this paper, we present a novel anomaly-based Intrusion Detection System (IDS), called ARIES (smArt gRid Intrusion dEtection System), which is capable of protecting efficiently SG communications. ARIES combines three detection layers that are devoted to recognising possible cyberattacks

    更新日期:2020-09-16
  • I-Net—View-Invariant Quality of Human Movement Assessment
    Sensors (IF 3.275) Pub Date : 2020-09-15
    Faegheh Sardari; Adeline Paiement; Sion Hannuna; Majid Mirmehdi

    We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data. Our end-to-end convolutional neural network consists of two stages, where at first a view-invariant trajectory descriptor for each body joint is generated from RGB images, and then the collection of trajectories for all joints are processed by an adapted, pre-trained 2D

    更新日期:2020-09-15
  • nhanced Spatial and Extended Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
    Sensors (IF 3.275) Pub Date : 2020-09-15
    Fanjia Li; Juanjuan Li; Aichun Zhu; Yonggang Xu; Hongsheng Yin; Gang Hua

    In the skeleton-based human action recognition domain, the spatial-temporal graph convolution networks (ST-GCNs) have made great progress recently. However, they use only one fixed temporal convolution kernel, which is not enough to extract the temporal cues comprehensively. Moreover, simply connecting the spatial graph convolution layer (GCL) and the temporal GCL in series is not the optimal solution

    更新日期:2020-09-15
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