Filtered By:
Source: Sensors

This page shows you your search results in order of date. This is page number 17.

Order by Relevance | Date

Total 2011 results found since Jan 2013.

Sensors, Vol. 23, Pages 1791: Deep-Reinforcement-Learning-Based IoT Sensor Data Cleaning Framework for Enhanced Data Analytics
wan Lim The Internet of things (IoT) combines different sources of collected data which are processed and analyzed to support smart city applications. Machine learning and deep learning algorithms play a vital role in edge intelligence by minimizing the amount of irrelevant data collected from multiple sources to facilitate these smart city applications. However, the data collected by IoT sensors can often be noisy, redundant, and even empty, which can negatively impact the performance of these algorithms. To address this issue, it is essential to develop effective methods for detecting and eliminating irrelevant data ...
Source: Sensors - February 5, 2023 Category: Biotechnology Authors: Alaelddin F. Y. Mohammed Salman Md Sultan Joohyung Lee Sunhwan Lim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1713: Neural Architecture Search Survey: A Computer Vision Perspective
g-Hoon Park In recent years, deep learning (DL) has been widely studied using various methods across the globe, especially with respect to training methods and network structures, proving highly effective in a wide range of tasks and applications, including image, speech, and text recognition. One important aspect of this advancement is involved in the effort of designing and upgrading neural architectures, which has been consistently attempted thus far. However, designing such architectures requires the combined knowledge and know-how of experts from each relevant discipline and a series of trial-and-error steps. In t...
Source: Sensors - February 3, 2023 Category: Biotechnology Authors: Jeon-Seong Kang JinKyu Kang Jung-Jun Kim Kwang-Woo Jeon Hyun-Joon Chung Byung-Hoon Park Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1723: Map Space Modeling Method Reflecting Safety Margin in Coastal Water based on Electronic Chart for Path Planning
In this study, a map modeling method for path planning is proposed. This method incorporates the safety margin based on the theory of geographic space existing in coastal waters, maneuvering space according to ship characteristics, and the psychological buffer space of a ship navigator. First, the obstacle area was segmented using the binary method—a segmentation method—based on the international standard electronic chart image. Next, the margin space was incorporated through the morphological algorithm for the obstacle area. Finally, to minimize the space lost during the route search, the bound...
Source: Sensors - February 3, 2023 Category: Biotechnology Authors: Da-un Jang Joo-sung Kim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1666: Spectral Analysis Methods for Improved Resolution and Sensitivity: Enhancing SPR and LSPR Optical Fiber Sensing
C. Coelho Biochemical–chemical sensing with plasmonic sensors is widely performed by tracking the responses of surface plasmonic resonance peaks to changes in the medium. Interestingly, consistent sensitivity and resolution improvements have been demonstrated for gold nanoparticles by analyzing other spectral features, such as spectral inflection points or peak curvatures. Nevertheless, such studies were only conducted on planar platforms and were restricted to gold nanoparticles. In this work, such methodologies are explored and expanded to plasmonic optical fibers. Thus, we study—experime...
Source: Sensors - February 2, 2023 Category: Biotechnology Authors: Paulo S. S. Dos Santos Jo ão P. Mendes Bernardo Dias Jorge P érez-Juste Jos é M. M. M. De Almeida Isabel Pastoriza-Santos Luis C. C. Coelho Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1659: EEG Parameter Selection Reflecting the Characteristics of Internet Gaming Disorder While Playing League of Legends
-Soo Park Game playing is an accessible leisure activity. Recently, the World Health Organization officially included gaming disorder in the ICD-11, and studies using several bio-signals were conducted to quantitatively determine this. However, most EEG studies regarding internet gaming disorder (IGD) were conducted in the resting state, and the outcomes appeared to be too inconsistent to identify a general trend. Therefore, this study aimed to use a series of statistical processes with all the existing EEG parameters until the most effective ones to identify the difference between IGD subjects IGD and healthy subjects...
Source: Sensors - February 2, 2023 Category: Biotechnology Authors: Jung-Yong Kim Dong-Joon Kim Sung-Kyun Im Hea-Sol Kim Ji-Soo Park Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1572: Pipeline Leakage Detection Based on Secondary Phase Transform Cross-Correlation
Baomin Wang Leaks from pipes and valves are a reputational issue in industry. Maintenance of pipeline integrity is becoming a growing challenge due to the serious socioeconomic consequences. This paper presents a secondary phase transform (PHAT) cross-correlation method to improve the performance of the acoustic methods based on cross-correlation for pipeline leakage detection. Acoustic emission signals generated by pipe leakage are first captured by the sensors at different locations, and are subsequently analyzed using the cross-correlation curve to determine whether leakage is occurring. When leakage occurs, time de...
Source: Sensors - February 1, 2023 Category: Biotechnology Authors: Hetao Liang Yan Gao Haibin Li Siyuan Huang Minghui Chen Baomin Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1605: SERS for Detection of Proteinuria: A Comparison of Gold, Silver, Al Tape, and Silicon Substrates for Identification of Elevated Protein Concentration in Urine
islav Bukasov Excessive protein excretion in human urine is an early and sensitive marker of diabetic nephropathy and primary and secondary renal disease. Kidney problems, particularly chronic kidney disease, remain among the few growing causes of mortality in the world. Therefore, it is important to develop an efficient, expressive, and low-cost method for protein determination. Surface enhanced Raman spectroscopy (SERS) methods are potential candidates to achieve these criteria. In this paper, a SERS method was developed to distinguish patients with proteinuria from the healthy group. Commercial gold nanoparticles (A...
Source: Sensors - February 1, 2023 Category: Biotechnology Authors: Sultan Aitekenov Alisher Sultangaziyev Aigerim Boranova Aigerim Dyussupova Aisha Ilyas Abduzhappar Gaipov Rostislav Bukasov Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1604: Satellite Navigation Spoofing Interference Detection and Direction Finding Based on Array Antenna
imin Zhen Satellite navigation signals are feeble when they reach the ground, so they are vulnerable to attacks from outside interference signals. By emitting spoofing interference signals similar to real satellite signals, spoofing interference can make receivers give wrong navigation, position, and time information, and it is challenging to detect. This seriously affects the safe use of GNSS; therefore, it is essential to identify spoofing interference signals quickly and accurately. In our study, we proposed a novel six-array spoofing-interference-monitoring array antenna, which achieved the detection and identifica...
Source: Sensors - February 1, 2023 Category: Biotechnology Authors: Huiyun Yang Ruimin Jin Wenpu Xu Lei Che Weimin Zhen Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 1586: On Coverage of Critical Nodes in UAV-Assisted Emergency Networks
Magarini Unmanned aerial vehicle (UAV)-assisted networks ensure agile and flexible solutions based on the inherent attributes of mobility and altitude adaptation. These features render them suitable for emergency search and rescue operations. Emergency networks (ENs) differ from conventional networks. They often encounter nodes with vital information, i.e., critical nodes (CNs). The efficacy of search and rescue operations highly depends on the eminent coverage of critical nodes to retrieve crucial data. In a UAV-assisted EN, the information delivery from these critical nodes can be ensured through quality-of-service ...
Source: Sensors - February 1, 2023 Category: Biotechnology Authors: Maham Waheed Rizwan Ahmad Waqas Ahmed Muhammad Mahtab Alam Maurizio Magarini Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1583: Digital Twins and Enabling Technologies in Museums and Cultural Heritage: An Overview
Sacher This paper presents an overview of various types of virtual museums (ViM) as native artifacts or as digital twins (DT) of physical museums (PM). Depending on their mission and features, we discuss various enabling technologies and sensor equipment with their specific requirements and complexities, advantages and drawbacks in relation to each other at all stages of a DT’s life cycle. A DT is a virtual construct and embodies innovative concepts based on emerging technologies (ET) using adequate sensor configurations for (meta-)data import and exchange. Our keyword-based search for articles, conferen...
Source: Sensors - February 1, 2023 Category: Biotechnology Authors: Wolfram Luther Nelson Baloian Daniel Biella Daniel Sacher Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1546: Small Sample Coherent DOA Estimation Method Based on S2S Neural Network Element Reinforcement Learning
ang Aiming at the existing Direction of Arrival (DOA) methods based on neural network, a large number of samples are required to achieve signal-scene adaptation and accurate angle estimation. In the coherent signal environment, the problems of a larger amount of training sample data are required. In this paper, the DOA of coherent signal is converted into the DOA parameter estimation of the angle interval of incident signal. The accurate estimation of coherent DOA under the condition of small samples based on meta−reinforcement learning (MRL) is realized. The meta−reinforcement learning meth...
Source: Sensors - January 31, 2023 Category: Biotechnology Authors: Zihan Wu Jun Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1536: Line-Features-Based Pose Estimation Method for the Disc Cutter Holder of Shield Machine
Yueyu Sun To achieve automatic disc cutter replacement of shield machines, measuring the accurate pose of the disc cutter holder by machine vision is crucial. However, under polluted and restricted illumination conditions, achieving pose estimation by vision is a great challenge. This paper proposes a line-features-based pose estimation method for the disc cutter holder of the shield machine by using a monocular camera. For the blurring effect of rounded corners on the image edge, a rounded edge model is established to obtain edge points that better match the 3D model of the workpiece. To obtain the edge search box c...
Source: Sensors - January 30, 2023 Category: Biotechnology Authors: Zhe Xie Guoli Zhu Dailin Zhang Dandan Peng Jinlong Hu Yueyu Sun Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1533: A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning
This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 Deoxyribose Nucleic Acid (DNA) gene transfer in regular square constellations using a CSK/QAM-based VLC system. ML algorithms are used to classify the bands present in each electrophoresis sample according to whether the band corresponds to a positive, negative, or ladder sample during the search for the optimal model. Complexity studies reveal that the square constellation N=22i×22i,(i=3) ...
Source: Sensors - January 30, 2023 Category: Biotechnology Authors: Ismael Soto Raul Zamorano-Illanes Raimundo Becerra Pablo Palacios J átiva Cesar A. Azurdia-Meza Wilson Alavia Ver ónica García Muhammad Ijaz David Zabala-Blanco Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1508: Indoor Positioning Design for Mobile Phones via Integrating a Single Microphone Sensor and an H2 Estimator
Chen An indoor positioning design developed for mobile phones by integrating a single microphone sensor, an H2 estimator, and tagged sound sources, all with distinct frequencies, is proposed in this investigation. From existing practical experiments, the results summarize a key point for achieving a satisfactory indoor positioning: The estimation accuracy of the instantaneous sound pressure level (SPL) that is inevitably affected by random variations of environmental corruptions dominates the indoor positioning performance. Following this guideline, the proposed H2 estimation design, accompanied by a sound pressure le...
Source: Sensors - January 29, 2023 Category: Biotechnology Authors: Yung-Hsiang Chen Pei-Yu Chang Yung-Yue Chen Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1484: NetAP-ML: Machine Learning-Assisted Adaptive Polling Technique for Virtualized IoT Devices
Ho Hong To maximize the performance of IoT devices in edge computing, an adaptive polling technique that efficiently and accurately searches for the workload-optimized polling interval is required. In this paper, we propose NetAP-ML, which utilizes a machine learning technique to shrink the search space for finding an optimal polling interval. NetAP-ML is able to minimize the performance degradation in the search process and find a more accurate polling interval with the random forest regression algorithm. We implement and evaluate NetAP-ML in a Linux system. Our experimental setup consists of a various number of virtu...
Source: Sensors - January 29, 2023 Category: Biotechnology Authors: Hyunchan Park Younghun Go Kyungwoon Lee Cheol-Ho Hong Tags: Article Source Type: research