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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 3222: Sieve Search Centroiding Algorithm for Star Sensors
ingru The localization of the center of the star image formed on a sensor array directly affects attitude estimation accuracy. This paper proposes an intuitive self-evolving centroiding algorithm, termed the sieve search algorithm (SSA), which employs the structural properties of the point spread function. This method maps the gray-scale distribution of the star image spot into a matrix. This matrix is further segmented into contiguous sub-matrices, referred to as sieves. Sieves comprise a finite number of pixels. These sieves are evaluated and ranked based on their degree of symmetry and magnitude. Every pixel in the ...
Source: Sensors - March 17, 2023 Category: Biotechnology Authors: Vivek Chandran Karaparambil Narayan Suresh Manjarekar Pravin Madanrao Singru Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3175: Technological Solutions for Human Movement Analysis in Obese Subjects: A Systematic Review
esco Lopomo Obesity has a critical impact on musculoskeletal systems, and excessive weight directly affects the ability of subjects to realize movements. It is important to monitor the activities of obese subjects, their functional limitations, and the overall risks related to specific motor tasks. From this perspective, this systematic review identified and summarized the main technologies specifically used to acquire and quantify movements in scientific studies involving obese subjects. The search for articles was carried out on electronic databases, i.e., PubMed, Scopus, and Web of Science. We included observational...
Source: Sensors - March 16, 2023 Category: Biotechnology Authors: Riccardo Monfrini Gianluca Rossetto Emilia Scalona Manuela Galli Veronica Cimolin Nicola Francesco Lopomo Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 3022: In-Network Processing of Skyline Join Queries in Wireless Sensor Networks Using Synopses of Skyline Attribute Value Ranges
We describe the structure of a range synopsis and present our protocol. To optimize our protocol, we solve some optimization problems. Through implementation and a set of detailed simulations, we show the effectiveness of our protocol. The range synopsis is confirmed to be compact enough for our protocol to work well with the limited memory and energy in each sensor node. For the correlated and random distributions, our protocol significantly outperforms other possible protocols, confirming the effectiveness of an in-network skyline as well as the join filtering capabilities of our protocol.
Source: Sensors - March 10, 2023 Category: Biotechnology Authors: Hyunchul Kang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2967: Beam-Selection for 5G/B5G Networks Using Machine Learning: A Comparative Study
dos A challenging problem in millimeter wave (mmWave) communications for the fifth generation of cellular communications and beyond (5G/B5G) is the beam selection problem. This is due to severe attenuation and penetration losses that are inherent in the mmWave band. Thus, the beam selection problem for mmWave links in a vehicular scenario can be solved as an exhaustive search among all candidate beam pairs. However, this approach cannot be assuredly completed within short contact times. On the other hand, machine learning (ML) has the potential to significantly advance 5G/B5G technology, as evidenced by the growing com...
Source: Sensors - March 9, 2023 Category: Biotechnology Authors: Efstratios Chatzoglou Sotirios K. Goudos Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2971: MindReader: Unsupervised Classification of Electroencephalographic Data
d G. Grabherr Electroencephalogram (EEG) interpretation plays a critical role in the clinical assessment of neurological conditions, most notably epilepsy. However, EEG recordings are typically analyzed manually by highly specialized and heavily trained personnel. Moreover, the low rate of capturing abnormal events during the procedure makes interpretation time-consuming, resource-hungry, and overall an expensive process. Automatic detection offers the potential to improve the quality of patient care by shortening the time to diagnosis, managing big data and optimizing the allocation of human resources towards precisio...
Source: Sensors - March 9, 2023 Category: Biotechnology Authors: Salvador Daniel Rivas-Carrillo Evgeny E. Akkuratov Hector Valdez Ruvalcaba Angel Vargas-Sanchez Jan Komorowski Daniel San-Juan Manfred G. Grabherr Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 2945: Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes
This article does not deal with the precise determination of the temperature of an individual person but focuses on the possibility of using infrared cameras for monitoring the health of the population. The aim is to use large amounts of infrared data from many locations to provide information to epidemiologists so they can have better information about potential outbreaks. This paper focuses on the long-term monitoring of the temperature of passing persons inside public buildings and the search for the most appropriate tools for this purpose and is intended as the first step towards creating a useful tool for epidemiologi...
Source: Sensors - March 8, 2023 Category: Biotechnology Authors: Ji ří Tesař Luk áš Muzika Ji ří Skála Tom áš Kohlschütter Milan Honner Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2939: Engineering of Advanced Materials for High Magnetic Field Sensing: A Review
— Advanced scientific and industrial equipment requires magnetic field sensors with decreased dimensions while keeping high sensitivity in a wide range of magnetic fields and temperatures. However, there is a lack of commercial sensors for measurements of high magnetic fields, from ∼1 T up to megagauss. Therefore, the search for advanced materials and the engineering of nanostructures exhibiting extraordinary properties or new phenomena for high magnetic field sensing applications is of great importance. The main focus of this review is the investigation of thin films, nanostructures and two-dimensional (2D...
Source: Sensors - March 8, 2023 Category: Biotechnology Authors: Nerija Žurauskienė Tags: Review Source Type: research

Sensors, Vol. 23, Pages 2901: Joint Masked Face Recognition and Temperature Measurement System Using Convolutional Neural Networks
ng Wang With the outbreak of COVID-19, epidemic prevention has become a way to prevent the spread of epidemics. Many public places, such as hospitals, schools, and office places, require disinfection and temperature measurement. To implement epidemic prevention systems and reduce the risk of infection, it is a recent trend to measure body temperature through non-contact sensing systems with thermal imaging cameras. Compared to fingerprints and irises, face recognition is accurate and does not require close contact, which significantly reduces the risk of infection. However, masks block most facial features, resulting i...
Source: Sensors - March 7, 2023 Category: Biotechnology Authors: Tsung-Han Tsai Ji-Xiu Lu Xuan-Yu Chou Chieng-Yang Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2895: Axis Orbit Recognition of the Hydropower Unit Based on Feature Combination and Feature Selection
an Chen Axis-orbit recognition is an essential means for the fault diagnosis of hydropower units. An axis-orbit recognition method based on feature combination and feature selection is proposed, aiming to solve the problems of the low recognition accuracy, poor robustness, and low efficiency of existing axis-orbit recognition methods. First, various contour, moment, and geometric features of axis orbit samples are extracted from the original data and combined into a multidimensional feature set; then, Random Forest (RF)-Fisher feature selection is applied to realize feature dimensionality reduction; and finally, the se...
Source: Sensors - March 7, 2023 Category: Biotechnology Authors: Wushuang Liu Yang Zheng Xuan Zhou Qijuan Chen Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2783: An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks
Hsun Wong In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit data to the sink. Therefore, how to use location information to construct an energy efficient geocasting path is a very important issue. FERMA is a geocasting scheme for WSNs based on Fermat points. In this paper, an efficient grid-based geocasting scheme for WSNs, which is called GB-FERMA, is proposed. The scheme uses the...
Source: Sensors - March 3, 2023 Category: Biotechnology Authors: Neng-Chung Wang Ming-Fong Tsai Chao-Yang Lee Young-Long Chen Shih-Hsun Wong Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2808: A Heuristic-Based Adaptive Iterated Greedy Algorithm for Lot-Streaming Hybrid Flow Shop Scheduling Problem with Consistent and Intermingled Sub-Lots
gying Zhu Owing to the different quantities and processing times of sub-lots, intermingling sub-lots with each other, instead of fixing the production sequence of sub-lots of a lot as in the existing studies, is a more practical approach to lot-streaming flow shops. Hence, a lot-streaming hybrid flow shop scheduling problem with consistent and intermingled sub-lots (LHFSP-CIS) was studied. A mixed integer linear programming (MILP) model was established, and a heuristic-based adaptive iterated greedy algorithm (HAIG) with three modifications was designed to solve the problem. Specifically, a two-layer encoding method wa...
Source: Sensors - March 3, 2023 Category: Biotechnology Authors: Yiling Lu Qiuhua Tang Quanke Pan Lianpeng Zhao Yingying Zhu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2731: Joint Texture Search and Histogram Redistribution for Hyperspectral Image Quality Improvement
eng Zhang Due to optical noise, electrical noise, and compression error, data hyperspectral remote sensing equipment is inevitably contaminated by various noises, which seriously affect the applications of hyperspectral data. Therefore, it is of great significance to enhance hyperspectral imaging data quality. To guarantee the spectral accuracy during data processing, band-wise algorithms are not suitable for hyperspectral data. This paper proposes a quality enhancement algorithm based on texture search and histogram redistribution combined with denoising and contrast enhancement. Firstly, a texture-based search algori...
Source: Sensors - March 2, 2023 Category: Biotechnology Authors: Bingliang Hu Junyu Chen Yihao Wang Haiwei Li Geng Zhang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2694: NN-LCS: Neural Network and Linear Coordinate Solver Fusion Method for UWB Localization in Car Keyless Entry System
owei Zhou Nowadays, ultra-wideband (UWB) technology is becoming a new approach to localize keyfobs in the car keyless entry system (KES), because it provides precise localization and secure communication. However, for vehicles the distance ranging suffers from great errors because of none-line-of-sight (NLOS) which is raised by the car. Regarding the NLOS problem, efforts have been made to mitigate the point-to-point ranging error or to estimate the tag coordinate by neural networks. However, it still suffers from some problems such as low accuracy, overfitting, or a large number of parameters. In order to address thes...
Source: Sensors - March 1, 2023 Category: Biotechnology Authors: Zengwei Zheng Shuang Yan Lin Sun Hengxin Shu Xiaowei Zhou Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2632: Separation of Temperature-Induced Response for Bridge Long-Term Monitoring Data Using Local Outlier Correction and Savitzky & ndash;Golay Convolution Smoothing
This study proposed a separation method to identify the temperature-induced response from the long-term monitoring data with noise and other action-induced effects. In the proposed method, the original measured data are transformed using the local outlier factor (LOF), and the threshold of the LOF is determined by minimizing the variance of the modified data. The Savitzky–Golay convolution smoothing is also utilized to filter the noise of the modified data. Furthermore, this study proposes an optimization algorithm, namely the AOHHO, which hybridizes the Aquila Optimizer (AO) and the Harris Hawks Optimization...
Source: Sensors - February 27, 2023 Category: Biotechnology Authors: Wei Zhang Hongyin Yang Hongyou Cao Xiucheng Zhang Aixin Zhang Nanhao Wu Zhangjun Liu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2630: Fast and Robust Infrared Small Target Detection Using Weighted Local Difference Variance Measure
iuhong Li Infrared (IR) small-target-detection performance restricts the development of infrared search and track (IRST) systems. Existing detection methods easily lead to missed detection and false alarms under complex backgrounds and interference, and only focus on the target position while ignoring the target shape features, which cannot further identify the category of IR targets. To address these issues and guarantee a certain runtime, a weighted local difference variance measure (WLDVM) algorithm is proposed. First, Gaussian filtering is used to preprocess the image by using the idea of a matched filter to purpos...
Source: Sensors - February 27, 2023 Category: Biotechnology Authors: Ying Zheng Yuye Zhang Ruichen Ding Chunming Ma Xiuhong Li Tags: Article Source Type: research