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Total 2011 results found since Jan 2013.

Sensors, Vol. 23, Pages 1475: Robust Moth-Inspired Algorithm for Odor Source Localization Using Multimodal Information
Hosoda Odor-source localization, by which one finds the source of an odor by detecting the odor itself, is an important ability to possess in order to search for leaking gases, explosives, and disaster survivors. Although many animals possess this ability, research on implementing olfaction in robotics is still developing. We developed a novel algorithm that enables a robot to localize an odor source indoors and outdoors by taking inspiration from the adult male silk moth, which we used as the target organism. We measured the female-localization behavior of the silk moth by using a virtual reality (VR) system to obtai...
Source: Sensors - January 28, 2023 Category: Biotechnology Authors: Shunsuke Shigaki Mayu Yamada Daisuke Kurabayashi Koh Hosoda Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1430: Tailoring the Performance of a Nafion 117 Humidity Chipless RFID Sensor: The Choice of the Substrate
orenzelli Chipless radio-frequency identification (RFID) sensors are not yet widespread in practical applications because of their limited sensitivity and selectivity when compared to more mature sensing technologies. The search for a suitable material to perform the sensing function has often been focused on the most common materials used in electrochemical sensing approaches, but little work has been done to directly relate the performances of chipless or microwave sensors to the characteristics of the materials used to fabricate them. In this work we are simulating the impact of the substrate material on the perform...
Source: Sensors - January 27, 2023 Category: Biotechnology Authors: Giada Marchi Viviana Mulloni Fabio Acerbi Massimo Donelli Leandro Lorenzelli Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1409: Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review
ka Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric ...
Source: Sensors - January 27, 2023 Category: Biotechnology Authors: Sylwia Werbi ńska-Wojciechowska Klaudia Winiarska Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1377: The Influence of Mechanical Bowel Preparation on Volatile Organic Compounds for the Detection of Gastrointestinal Disease & mdash;A Systematic Review
Conclusions: There is limited data on the effect of bowel preparation on VOC production in the body. As further studies of VOCs are conducted in patients with symptoms of gastrointestinal disease, the quantification of the effect of bowel preparation on their abundance is required.
Source: Sensors - January 26, 2023 Category: Biotechnology Authors: Ashwin Krishnamoorthy Subashini Chandrapalan Sofie Bosch Ayman Bannaga Nanne K. H. De De Boer Tim G. J. De De Meij Marcis Leja George B. Hanna Nicoletta De De Vietro Donato Altomare Ramesh P. Arasaradnam Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1335: Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing
Rupitsch Radars can be used as sensors to detect the breathing of victims trapped under layers of building materials in catastrophes like earthquakes or gas explosions. In this contribution, we present the implementation of a novel frequency comb continuous wave (FCCW) bioradar module using a commercial software-defined radio (SDR). The FCCW radar transmits multiple equally spaced frequency components simultaneously. The data acquisition of the received combs is frequency domain-based. Hence, it does not require synchronization between the transmit and receive channels, as time domain-based broadband radars, such as u...
Source: Sensors - January 25, 2023 Category: Biotechnology Authors: Di Shi Gunnar Gidion Taimur Aftab Leonhard M. Reindl Stefan J. Rupitsch Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1323: Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review
el J. Maniaci In the US, at least one fall occurs in at least 28.7% of community-dwelling seniors 65 and older each year. Falls had medical costs of USD 51 billion in 2015 and are projected to reach USD 100 billion by 2030. This review aims to discuss the extent of smartphone (SP) usage in fall detection and prevention across a range of care settings. A computerized search was conducted on six electronic databases to investigate the use of remote sensing technology, wireless technology, and other related MeSH terms for detecting and preventing falls. After applying inclusion and exclusion criteria, 44 studies were incl...
Source: Sensors - January 24, 2023 Category: Biotechnology Authors: Ricardo A. Torres-Guzman Margaret R. Paulson Francisco R. Avila Karla Maita John P. Garcia Antonio J. Forte Michael J. Maniaci Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 1270: An Electrochemical Sensor for Sulfadiazine Determination Based on a Copper Nanoparticles/Molecularly Imprinted Overoxidized Polypyrrole Composite
cine Barhoumi To protect consumers from risks related to overexposure to sulfadiazine, total residues of this antibacterial agent in animal-origin foodstuffs not exceed international regulations. To this end, a new electrochemical sensor based on a molecularly imprinted polymer nanocomposite using overoxidized polypyrrole and copper nanoparticles for the detection of sulfadiazine is elaborated. After optimization of the preparation of the electrochemical sensors, their differential pulse voltammetric signal exhibits an excellent stability and reproducibility at 1.05 V, with a large linear range between 10&minus...
Source: Sensors - January 22, 2023 Category: Biotechnology Authors: Manahil Babiker Elamin Shazalia Mahmoud Ahmed Ali Houda Essousi Amani Chrouda Laila M. Alhaidari Nicole Jaffrezic-Renault Houcine Barhoumi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1239: Optimizing Resources and Increasing the Coverage of Internet-of-Things (IoT) Networks: An Approach Based on LoRaWAN
Lima Silva A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the maintenance costs of such low power networks. Performance evaluations were conducted in LoRaWANs with LoRa repeaters to increase coverage, in scenario where the number and the location of the repeaters are determined by the VNS metaheuristic. Parameters such as spread factor (SF), bandwidth and transmission power were adjusted to minimize the network’s total energy p...
Source: Sensors - January 21, 2023 Category: Biotechnology Authors: Matheus Araujo Gava Helder Roberto Oliveira Rocha Menno Jan Faber Marcelo Eduardo Vieira Segatto Heinrich W örtche Jair Adriano Lima Silva Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1230: Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning
In this study, the optimal features of electrocardiogram (ECG) signals were investigated for the implementation of a personal authentication system using a reinforcement learning (RL) algorithm. ECG signals were recorded from 11 subjects for 6 days. Consecutive 5-day datasets (from the 1st to the 5th day) were trained, and the 6th dataset was tested. To search for the optimal features of ECG for the authentication problem, RL was utilized as an optimizer, and its internal model was designed based on deep learning structures. In addition, the deep learning architecture in RL was automatically constructed based on an optimiz...
Source: Sensors - January 20, 2023 Category: Biotechnology Authors: Suwhan Baek Juhyeong Kim Hyunsoo Yu Geunbo Yang Illsoo Sohn Youngho Cho Cheolsoo Park Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1163: Imbedding Pd Nanoparticles into Porous In2O3 Structure for Enhanced Low-Concentration Methane Sensing
ou Wang Fenglong Wang Methane (CH4), as the main component of natural gas and coal mine gas, is widely used in daily life and industrial processes and its leakage always causes undesirable misadventures. Thus, the rapid detection of low concentration methane is quite necessary. However, due to its robust chemical stability resulting from the strong tetrahedral-symmetry structure, the methane molecules are usually chemically inert to the sensing layers in detectors, making the rapid and efficient alert a big challenge. In this work, palladium nanoparticles (Pd NPs) embedded indium oxide porous hollow tubes (In2O3 PHTs...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Xiaoyang Zuo Zhengyi Yang Jing Kong Zejun Han Jianxin Zhang Xiangwei Meng Shuyan Hao Lili Wu Simeng Wu Jiurong Liu Zhou Wang Fenglong Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1160: Long-Term Indoor-Outdoor PM2.5 Measurements Using PurpleAir Sensors: An Improved Method of Calculating Indoor-Generated and Outdoor-Infiltrated Contributions to Potential Indoor Exposure
Ott Low-cost monitors make it possible now for the first time to collect long-term (months to years) measurements of potential indoor exposure to fine particles. Indoor exposure is due to two sources: particles infiltrating from outdoors and those generated by indoor activities. Calculating the relative contribution of each source requires identifying an infiltration factor. We develop a method of identifying periods when the infiltration factor is not constant and searching for periods when it is relatively constant. From an initial regression of indoor on outdoor particle concentrations, a Forbidden Zone can be defin...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Lance Wallace Wayne Ott Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1140: Odor Source Localization in Obstacle Regions Using Switching Planning Algorithms with a Switching Framework
In this study, we addressed both the aforementioned problems by simplifying the environment with an obstacle region into multiple sub-environments with different resolutions. Subsequently, a framework was introduced to switch between the Infotaxis and Dijkstra algorithms to navigate the agent and enable it to reach the source swiftly. One algorithm was used to guide the agent in searching for clues about the source location, whereas the other facilitated the active movement of the agent between sub-environments. The proposed algorithm exhibited improvements in terms of success rate and search time. Furthermore, the impleme...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Duc-Nhat Luong Daisuke Kurabayashi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1097: Quantitative Identification Method for Glass Panel Defects Using Microwave Detection Based on the CSAPSO-BP Neural Network
un Song To address the problem of the quantitative identification of glass panel surface defects, a new method combining the chaotic simulated annealing particle swarm algorithm (CSAPSO) and the BP neural network is proposed for the quantitative evaluation of microwave detection signals of glass panel defects. First, the parameters of the particle swarm optimization (PSO) algorithm are dynamically assigned using chaos theory to improve the global search capability of the PSO. Then, the CSAPSO-BP neural network model is constructed, and the return loss and phase of the microwave detection echo signal of glass panel defe...
Source: Sensors - January 18, 2023 Category: Biotechnology Authors: Jun Fang Zhiyang Deng Jun Tu Xiaochun Song Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1041: Improved Bidirectional RRT* Algorithm for Robot Path Planning
Xiqing Ma In order to address the shortcomings of the traditional bidirectional RRT* algorithm, such as its high degree of randomness, low search efficiency, and the many inflection points in the planned path, we institute improvements in the following directions. Firstly, to address the problem of the high degree of randomness in the process of random tree expansion, the expansion direction of the random tree growing at the starting point is constrained by the improved artificial potential field method; thus, the random tree grows towards the target point. Secondly, the random tree sampling point grown at the target...
Source: Sensors - January 16, 2023 Category: Biotechnology Authors: Peng Xin Xiaomin Wang Xiaoli Liu Yanhui Wang Zhibo Zhai Xiqing Ma Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1034: User-Driven Relay Beamforming for mmWave Massive Analog-Relay MIMO
guchi Sixth-generation mobile communication (6G) aims to further improve capacity and reliability by controlling the radio propagation environment. Millimeter wave (mmWave) high-frequency band communication offers large bandwidth at the cost of high attenuation, even for smaller distances. Due to this, fewer multiple input multiple outputs (MIMO) multiplexing is possible at the base station (BS). Distributed analog relay nodes with beamforming capability improve the received power and MIMO multiplexing of mmWave communication. Due to limited signal processing, the analog relay node cannot perform beam search and tracki...
Source: Sensors - January 16, 2023 Category: Biotechnology Authors: Masashi Iwabuchi Yoghitha Ramamoorthi Kei Sakaguchi Tags: Article Source Type: research