A Review of Resilience Enhancement Techniques for Cyber-Physical Systems by Gomez-Cabrera Alain, Ponciano Jorge Escamilla-Ambrosio, Mohammad Abdullah Al Faruque

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Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps by Domonkos Csuzdi, Tamás Bécsi, Péter Gáspár, Olivér Törő

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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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Studies on glucose detection using graphene quantum dots prepared by hydrothermal method by Swapnali P. Rajmane, Omkar S. Nille, G. B. Kolekar, Shivaji B. Sadale

“…Photoluminance spectra of GQDs were used as a property of optical sensors for glucose. In the present study, modulation in fluorescence of GQDs was used to detect glucose in the range of 2.0 $$\:\times\:$$ 10−5 M to 2.0 $$\:\times\:$$ 10−4 M. …”
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Copper Phthalocyanine Chemiresistors as Industrial NO₂ Alarms by Hadi AlQahtani, Mohammad Alshammari, Amjad M. Kamal, Martin Grell

“…We present a chemiresistor sensor for NO₂ leaks. …”
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ars548_ros: An ARS 548 RDI radar driver for ROS by Fernando Fernández-Calatayud, Lucía Coto, David Alejo, José Javier Carpio, Fernando Caballero, Luis Merino

“…Unfortunately, to the best of our knowledge, there are no open-source drivers available for Linux systems to enable users to analyze the data acquired by the sensor. In this paper, we present a driver that can interpret the data from the ARS 548 RDI sensor and make it available over the Robot Operating System versions 1 and 2 (ROS and ROS2). …”
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Graphene Flakes and Ethylene–Vinyl Acetate-Based Sensor for Detecting Mechanical Damage in Photovoltaic Panels on Sound-Absorbing Screens: An Engineering Approach for Civil and Mil... by Adam Januszko, Krzysztof Górski, Krzysztof A. Bogdanowicz, Kazimierz Drabczyk, Mariusz Zdrojek, Klaudia Żerańska, Witalis Pellowski, Jacek Miedziak, Agnieszka Iwan

“…In this work, we present a new graphene-based sensor designed to monitor a set of photovoltaic panels on a sound-absorbing screen in terms of their potential mechanical damage. …”
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Phonation differentiation by non-contact laryngeal magnetomyography by Justus Marquetand, Nima Noury, Hongyu Lu, Haodi Yang, Chrystina Montuori Sorrentino, Lukas Rüttiger, Marlies Knipper, Christoph Braun, Hubert Löwenheim, Johannes von Fraunberg, Anke Tropitzsch, Markus Siegel, Stephan Wolpert

“…Functional, contactless muscle recordings during vocalization enable new applications for miniaturized quantum sensors, e.g. in linguistic studies and speech rehabilitation.…”
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Multiplex Network-Based Approach to Gas Sensing by Pradeep Bhadola, Ajit Khosla

“…We present a multiplex network framework for analyzing sensor array data, integrating information from multiple network layers corresponding to different sensing conditions. …”
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Detection of Potentially Anomalous Cosmic Particle Tracks Acquired with CMOS Sensors: Validation of Rough k–Means Clustering with PCA Feature Extraction by Hachaj Tomasz, Piekarczyk Marcin, Wąs Jarosław

“…We present a method capable of detecting potentially anomalous cosmic particle tracks acquired with complementary metal-oxide-semiconductor (CMOS) sensors. …”
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Direct Power Model Predictive Control Method for DC-Side Sensor-Less Single-Phase Cascaded H-Bridges Photovoltaic Inverters by Xi ZHANG, Yipeng MAO, Le YU, Hao YANG

“…In order to reduce the complexity of photovoltaic generation system, a direct power model predictive control method suitable for DC-side sensor-less photovoltaic inverters is presented in this paper. …”
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Coxsackievirus B3 inhibits antigen presentation in vivo, exerting a profound and selective effect on the MHC class I pathway. by Christopher C Kemball, Stephanie Harkins, Jason K Whitmire, Claudia T Flynn, Ralph Feuer, J Lindsay Whitton

“…Herein, we employ transgenic CD4(+) and CD8(+) T cells as sensors to evaluate in vitro and in vivo antigen presentation by coxsackievirus B3 (CVB3), and we show that this virus almost completely inhibits antigen presentation via the MHC class I pathway, thereby evading CD8(+) T cell immunity. …”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

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The Influence of Relative Humidity and Pollution on the Meteorological Optical Range During Rainy and Dry Months in Mexico City by Blanca Adilen Miranda-Claudes, Guillermo Montero-Martínez

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Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

“…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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Experimental determination of the recovery factor on cylindrically flow-around temperature sensors Part 2: Determination of the local, tangential surface temperature distribution by Andreas Huster, Simon Paymal

“…In Part I of this series, the test rig and integral results for the determination of the recovery factor on cross-flowed temperature sensors between 1.5 mm and 8 mm diameter were presented. …”
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Early-stage breast cancer screening using a new biodegradable and easily implantable multi-element sensor in sub-THz range by Madan Kumar Sharma, Satyanarayana Degala, Abdullah Said Alkalbani

“…In this article, a new biodegradable and easily implantable multi-element sensor is presented for early-stage breast cancer screening within the Sub-THz frequency range. …”
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Prototipo de casa inteligente by Marcos Valentin Marzo Rodriguez, Marcel Lao García, Carolina López Pupo, Liliet Alonso Molina, Carmen Busoch Morlan, Ivón Oristela Benítez González

“…A través del sensor DHT11 se supervisa la temperatura y la humedad de la habitación activando el dispositivo de clima presente. …”
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Mixed Event-Frame Vision System for Daytime Preceding Vehicle Taillight Signal Measurement Using Event-Based Neuromorphic Vision Sensor by Zhengfa Liu, Guang Chen, Ya Wu, Jiatong Du, Jörg Conradt, Alois Knoll

“…An important aspect of the perception system for intelligent vehicles is the detection and signal measurement of vehicle taillights. In this work, we present a novel vision-based measurement (VBM) system, using an event-based neuromorphic vision sensor, which is able to detect and measure the vehicle taillight signal robustly. …”
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Validation of an Automated Scoring Algorithm That Assesses Eye Exploration in a 3-Dimensional Virtual Reality Environment Using Eye-Tracking Sensors by Or Koren, Anais Di Via Ioschpe, Meytal Wilf, Bailasan Dahly, Ramit Ravona-Springer, Meir Plotnik

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