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Total 2011 results found since Jan 2013.

Sensors, Vol. 23, Pages 3995: Synthesis and Integration of Hybrid Metal Nanoparticles Covered with a Molecularly Imprinted Polymer Nanolayer by Photopolymerization
In this study, the dye Rhodamine 6G was chosen as a model target molecule to demonstrate the principle of the method. The detection limit is 500 pM. Due to the nanometric thickness, the response is fast, and the substrates are robust, allowing regeneration and reuse with the same performance level. Finally, this method of manufacturing has been shown to be compatible with integration processes, allowing the future development of sensors integrated in microfluidic circuits and on optical fibers.
Source: Sensors - April 14, 2023 Category: Biotechnology Authors: Amine Khitous C éline Molinaro Constance Thomas Karsten Haupt Olivier Soppera Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3988: Indoor Robot Path Planning Using an Improved Whale Optimization Algorithm
Li An improved whale optimization algorithm is proposed to solve the problems of the original algorithm in indoor robot path planning, which has slow convergence speed, poor path finding ability, low efficiency, and is easily prone to falling into the local shortest path problem. First, an improved logistic chaotic mapping is applied to enrich the initial population of whales and improve the global search capability of the algorithm. Second, a nonlinear convergence factor is introduced, and the equilibrium parameter A is changed to balance the global and local search capabilities of the algorithm and improve the searc...
Source: Sensors - April 14, 2023 Category: Biotechnology Authors: Qing Si Changyong Li Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3960: Use, Validity and Reliability of Inertial Movement Units in Volleyball: Systematic Review of the Scientific Literature
rtega The use of inertial devices in sport has become increasingly common. The aim of this study was to examine the validity and reliability of multiple devices for measuring jump height in volleyball. The search was carried out in four databases (PubMed, Scopus, Web of Sciences and SPORTDiscus) using keywords and Boolean operators. Twenty-one studies were selected that met the established selection criteria. The studies focused on determining the validity and reliability of IMUs (52.38%), on controlling and quantifying external load (28.57%) and on describing differences between playing positions (19.05%). Indoor voll...
Source: Sensors - April 13, 2023 Category: Biotechnology Authors: Diego Hern án Villarejo-García Adri án Moreno-Villanueva Alejandro Soler-L ópez Pedro Reche-Soto Jos é Pino-Ortega Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 3945: Enhancing Evanescent Wave Coupling of Near-Surface Waveguides with Plasmonic Nanoparticles
lée Evanescent field excitation is a powerful means to achieve a high surface-to-bulk signal ratio for bioimaging and sensing applications. However, standard evanescent wave techniques such as TIRF and SNOM require complex microscopy setups. Additionally, the precise positioning of the source relative to the analytes of interest is required, as the evanescent wave is critically distance-dependent. In this work, we present a detailed investigation of evanescent field excitation of near-surface waveguides written using femtosecond laser in glass. We studied the waveguide-to-surface distance and refractive index change t...
Source: Sensors - April 13, 2023 Category: Biotechnology Authors: Jerome Lapointe Alexandre Gr égoire Jean-Philippe B érubé R éal Vallée Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3942: SVR-Net: A Sparse Voxelized Recurrent Network for Robust Monocular SLAM with Direct TSDF Mapping
This study proposes a monocular SLAM system based on a sparse voxelized recurrent network, SVR-Net. It extracts voxel features from a pair of frames for correlation and recursively matches them to estimate pose and dense map. The sparse voxelized structure is designed to reduce memory occupation of voxel features. Meanwhile, gated recurrent units are incorporated to iteratively search for optimal matches on correlation maps, thereby enhancing the robustness of the system. Additionally, Gauss–Newton updates are embedded in iterations to impose geometrical constraints, which ensure accurate pose estimation. Aft...
Source: Sensors - April 13, 2023 Category: Biotechnology Authors: Rongling Lang Ya Fan Qing Chang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3922: Small Zoom Mismatch Adjustment Method for Dual-Band Fusion Imaging System Based on Edge-Gradient Normalized Mutual Information
g Li Li Currently, automatic optical zoom setups are being extensively explored for their applications in search, detection, recognition, and tracking. In visible and infrared fusion imaging systems with continuous zoom, dual-channel multi-sensor field-of-view matching control in the process of synchronous continuous zoom can be achieved by pre-calibration. However, mechanical and transmission errors of the zoom mechanism produce a small mismatch in the field of view after co-zooming, degrading the sharpness of the fusion image. Therefore, a dynamic small-mismatch detection method is necessary. This paper presents th...
Source: Sensors - April 12, 2023 Category: Biotechnology Authors: Jieling Chen Zhihao Liu Weiqi Jin Jianguo Yang Li Li Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3834: A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation
Banfu Yan Digital image-correlation (DIC) algorithms rely heavily on the accuracy of the initial values provided by whole-pixel search algorithms for structural displacement monitoring. When the measured displacement is too large or exceeds the search domain, the calculation time and memory consumption of the DIC algorithm will increase greatly, and even fail to obtain the correct result. The paper introduced two edge-detection algorithms, Canny and Zernike moments in digital image-processing (DIP) technology, to perform geometric fitting and sub-pixel positioning on the specific pattern target pasted on the measuremen...
Source: Sensors - April 8, 2023 Category: Biotechnology Authors: Ruixiang Tang Wenbing Chen Yousong Wu Hongbin Xiong Banfu Yan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3752: Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
beri Mohamad As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture sce...
Source: Sensors - April 5, 2023 Category: Biotechnology Authors: Hasyiya Karimah Adli Muhammad Akmal Remli Khairul Nizar Syazwan Wan Salihin Wong Nor Alina Ismail Alfonso Gonz ález-Briones Juan Manuel Corchado Mohd Saberi Mohamad Tags: Review Source Type: research

Sensors, Vol. 23, Pages 3714: Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study
This study presents a wrapper-based metaheuristic feature selection framework for BCI applications using functional near-infrared spectroscopy (fNIRS). Here, the temporal statistical features (i.e., the mean, slope, maximum, skewness, and kurtosis) were computed from all the available channels to form a training vector. Seven metaheuristic optimization algorithms were tested for their classification performance using a k-nearest neighbor-based cost function: particle swarm optimization, cuckoo search optimization, the firefly algorithm, the bat algorithm, flower pollination optimization, whale optimization, and grey wolf o...
Source: Sensors - April 3, 2023 Category: Biotechnology Authors: Amad Zafar Shaik Javeed Hussain Muhammad Umair Ali Seung Won Lee Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3692: The Role of Silver Nanoparticles in Electrochemical Sensors for Aquatic Environmental Analysis
With rapidly increasing environmental pollution, there is an urgent need for the development of fast, low-cost, and effective sensing devices for the detection of various organic and inorganic substances. Silver nanoparticles (AgNPs) are well known for their superior optoelectronic and physicochemical properties, and have, therefore, attracted a great deal of interest in the sensor arena. The introduction of AgNPs onto the surface of two-dimensional (2D) structures, incorporation into conductive polymers, or within three-dimensional (3D) nanohybrid architectures is a common strategy to fabricate novel platforms with i...
Source: Sensors - April 2, 2023 Category: Biotechnology Authors: Irena Ivani šević Tags: Review Source Type: research

Sensors, Vol. 23, Pages 3685: A Sequential Electrospinning of a Coaxial and Blending Process for Creating Double-Layer Hybrid Films to Sense Glucose
This study presents a glucose biosensor based on electrospun core–sheath nanofibers. Two types of film were fabricated using different electrospinning procedures. Film F1 was composed solely of core–sheath nanofibers fabricated using a modified coaxial electrospinning process. Film F2 was a double-layer hybrid film fabricated through a sequential electrospinning and blending process. The bottom layer of F2 comprised core–sheath nanofibers fabricated using a modified process, in which pure polymethacrylate type A (Eudragit L100) was used as the core section and water-soluble lignin ...
Source: Sensors - April 2, 2023 Category: Biotechnology Authors: Yutong Du Zili Yang Shixiong Kang Deng-Guang Yu Xiren Chen Jun Shao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3664: An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data
¼ger In this work, we propose a novel data-driven approach to recover missing or corrupted motion capture data, either in the form of 3D skeleton joints or 3D marker trajectories. We construct a knowledge-base that contains prior existing knowledge, which helps us to make it possible to infer missing or corrupted information of the motion capture data. We then build a kd-tree in parallel fashion on the GPU for fast search and retrieval of this already available knowledge in the form of nearest neighbors from the knowledge-base efficiently. We exploit the concept of histograms to organize the data and use an off-the-she...
Source: Sensors - March 31, 2023 Category: Biotechnology Authors: Hashim Yasin Saba Ghani Bj örn Krüger Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3626: Optimized Design of Distributed Quasi-Cyclic LDPC Coded Spatial Modulation
ongjun Xu We propose a distributed quasi-cyclic low-density parity-check (QC-LDPC) coded spatial modulation (D-QC-LDPCC-SM) scheme with source, relay and destination nodes. At the source and relay, two distinct QC-LDPC codes are used. The relay chooses partial source information bits for further encoding, and a distributed code corresponding to each selection is generated at the destination. To construct the best code, the optimal information bit selection algorithm by exhaustive search in the relay is proposed. However, the exhaustive-based search algorithm has large complexity for QC-LDPC codes with long block length...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: Chunli Zhao Fengfan Yang Daniel Kariuki Waweru Chen Chen Hongjun Xu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3600: A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network
i Guo To better solve the problem of thermal error of computerized numerical control machining equipment (CNCME), a thermal error prediction model based on the sparrow search algorithm and long short-term memory neural network (SSA-LSTMNN) is proposed. Firstly, the Fuzzy C-means clustering algorithm (FCMCA) is used to screen the key temperature-sensitive points of the CNCME. Secondly, by taking the temperature rise data of key temperature-sensitive points as input and the corresponding time thermal error data as output, we established the SSA-LSTMNN thermal error prediction model. The SSA is used to optimize the parame...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: Ying Gao Xiaojun Xia Yinrui Guo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3597: Involvement of Human Volunteers in the Development and Evaluation of Wearable Devices Designed to Improve Medication Adherence: A Scoping Review
ho Wearable devices designed to improve medication adherence can emit audible and vibrating alerts or send text messages to users. However, there is little information on the validation of these technologies. The aim of this scoping review was to investigate the involvement of human volunteers in the development and evaluation of wearable devices. A literature search was conducted using six databases (MEDLINE, Embase, Scopus, CINAHL, PsycInfo, and Web of Science) up to March 2020. A total of 7087 records were identified, and nine studies were included. The wearable technologies most investigated were smartwatches (n = ...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: L ívia Luize Marengo Silvio Barberato-Filho Tags: Review Source Type: research