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Total 1395 results found since Jan 2013.

Sensors, Vol. 22, Pages 9118: A Decentralized Architecture for Trusted Dataset Sharing Using Smart Contracts and Distributed Storage
Kanhere The data economy is based on data and information sharing and tremendously impacts society as it facilitates innovative collaborations and decision-making strategies. Nonetheless, most dataset-sharing solutions rely on a centralized authority that rules data ownership, availability, and accessibility. Recent works have explored the integration of distributed storage and blockchain to enhance decentralization, data access, and smart contracts for automating the interactions between actors and data. However, current solutions propose a smart contract design limiting the system’s scalability in terms...
Source: Sensors - November 24, 2022 Category: Biotechnology Authors: Miguel Rodrigo Pincheira Caro Elena Donini Massimo Vecchio Salil Kanhere Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9110: MLWAN: Multi-Scale Learning Wavelet Attention Module Network for Image Super Resolution
peng Li Image super resolution (SR) is an important image processing technique in computer vision to improve the resolution of images and videos. In recent years, deep convolutional neural network (CNN) has made significant progress in the field of image SR; however, the existing CNN-based SR methods cannot fully search for background information in the measurement of feature extraction. In addition, in most cases, different scale factors of image SR are assumed to be different assignments and completed by training different models, which does not meet the actual application requirements. To solve these problems, we pr...
Source: Sensors - November 24, 2022 Category: Biotechnology Authors: Jian Ma Xiyu Han Xiaoyin Zhang Zhipeng Li Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9080: Influence of Insufficient Dataset Augmentation on IoU and Detection Threshold in CNN Training for Object Detection on Aerial Images
ak The objects and events detection tasks are being performed progressively often by robotic systems like unmanned aerial vehicles (UAV) or unmanned surface vehicles (USV). Autonomous operations and intelligent sensing are becoming standard in numerous scenarios such as supervision or even search and rescue (SAR) missions. The low cost of autonomous vehicles, vision sensors and portable computers allows the incorporation of the deep learning, mainly convolutional neural networks (CNN) in these solutions. Many systems meant for custom purposes rely on insufficient training datasets, what may cause a decrease of effectiv...
Source: Sensors - November 23, 2022 Category: Biotechnology Authors: Arkadiusz Bo żko Leszek Ambroziak Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9057: SimBlock Simulator Enhancement with Difficulty Level Algorithm Based on Proof-of-Work Consensus for Lightweight Blockchain
ari Proof-of-Work (PoW) was the first blockchain consensus protocol discovered, followed by Proof-of-Stake and others. The disadvantage of the PoW is that it requires high energy consumption compared to other consensus protocols. Based on this weakness, some researchers proposed a lightweight blockchain technology, a modified blockchain that has a simplified algorithm but does not reduce the security factor. This lightweight blockchain is suitable for applications requiring data reliability but with limited computing resources, such as Internet of Things devices. This paper discussed and modified the SimBlock simulator...
Source: Sensors - November 22, 2022 Category: Biotechnology Authors: Viddi Mardiansyah Riri Fitri Sari Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9044: OHetTLAL: An Online Transfer Learning Method for Fingerprint-Based Indoor Positioning
kun Zhang In an indoor positioning system (IPS), transfer learning (TL) methods are commonly used to predict the location of mobile devices under the assumption that all training instances of the target domain are given in advance. However, this assumption has been criticized for its shortcomings in dealing with the problem of signal distribution variations, especially in a dynamic indoor environment. The reasons are: collecting a sufficient number of training instances is costly, the training instances may arrive online, the feature spaces of the target and source domains may be different, and negative knowledge may b...
Source: Sensors - November 22, 2022 Category: Biotechnology Authors: Hailu Tesfay Gidey Xiansheng Guo Ke Zhong Lin Li Yukun Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9042: CARA: Connectivity-Aware Relay Algorithm for Multi-Robot Expeditions
tteyne The exploration of unknown environments is an essential application of multi-robot systems, particularly in critical missions, such as hazard detection and search and rescue. These missions share the need to reach full coverage of the explorable space in the shortest time possible. To minimize the completion time, robots in the fleet must be able to reliably exchange information about the environment with one another. One of the main methods to expand coverage is by placing relays. Existing relay-placement algorithms tend to either require prior knowledge of the environment, or they rely on maintaining specific ...
Source: Sensors - November 22, 2022 Category: Biotechnology Authors: Razanne Abu-Aisheh Francesco Bronzino Lou Sala ün Thomas Watteyne Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8999: Deep Learning-Based Computer-Aided Diagnosis (CAD): Applications for Medical Image Datasets
This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. Pre-trained convolutional neural networks (CNNs) or auto-encoder are used for feature extraction, whereas feature selection is performed using an ant colony optimization (ACO) algorithm. Ant colony optimization helps to search for the best optimal features while reducing the amount of data. Lastly, diagnosis prediction (classification) is achieved using learnable classifiers. The novel framework for the extraction and selection of features is based on deep learn...
Source: Sensors - November 21, 2022 Category: Biotechnology Authors: Yezi Ali Kadhim Muhammad Umer Khan Alok Mishra Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8977: A New Mixed-Gas-Detection Method Based on a Support Vector Machine Optimized by a Sparrow Search Algorithm
Han To solve the problem of the low recognition rate of mixed gases and consider the phenomenon of low prediction accuracy when traditional gas-concentration-prediction methods deal with nonlinear data, this paper proposes a mixed-gas identification and gas-concentration-prediction method based on a support vector machine (SVM) optimized by a sparrow search algorithm (SSA). Principal component analysis (PCA) is applied to perform data dimensionality reduction on the input data, and SSA is adopted to optimize the SVM hyperparameters to improve the recognition rate and gas-concentration-prediction accuracy of mixed gases...
Source: Sensors - November 20, 2022 Category: Biotechnology Authors: Haitao Zhang Yaozhen Han Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8956: Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation
Fuad Alhosban Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM has some limitations in terms of its selection of the initial cluster center. It can be easily trapped into local optima and is sensitive to noise, which is considered the most challenging issue in the FCM clustering algorithm. This paper proposes an approach to solve FCM problems in two phases. Firstly, to improve the balance between the exploration and expl...
Source: Sensors - November 18, 2022 Category: Biotechnology Authors: Waleed Alomoush Osama A. Khashan Ayat Alrosan Essam H. Houssein Hani Attar Mohammed Alweshah Fuad Alhosban Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8916: Problem Characteristics and Dynamic Search Balance-Based Artificial Bee Colony for the Optimization of Two-Tiered WSN Lifetime with Relay Nodes Deployment
In this study, a modified and enhanced Artificial Bee Colony is proposed to maximize the lifetime of a two-tiered wireless sensor network by optimal deployment of relay nodes. First, the dimension of the problem is introduced into the candidate search equation and the local search is adjusted according to the fitness of the problem and number of iterations, which helps to balance the exploration and exploitation ability of the algorithm. Second, in order to prevent the algorithm from falling into local convergence, a dynamic search balance strategy is proposed instead of the scout bee phase in the original Artificial Bee C...
Source: Sensors - November 18, 2022 Category: Biotechnology Authors: Wenjie Yu Xiangmei Li Zhi Zeng Miao Luo Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8825: Neural Network-Based Autonomous Search Model with Undulatory Locomotion Inspired by Caenorhabditis Elegans
In this study, we developed an autonomous search model with undulatory locomotion that combines these two C. elegans chemotaxis strategies with its body undulatory locomotion. To search for peaks in environmental variables such as chemical concentrations and radiation in directions close to the steepest gradients, only one sensor is needed. To develop our model, we first evolved a central pattern generator and designed a minimal network unit with proprioceptive feedback to encode and propagate rhythmic signals; hence, we realized realistic undulatory locomotion. We then constructed adaptive sensory neuron models following ...
Source: Sensors - November 15, 2022 Category: Biotechnology Authors: Mohan Chen Dazheng Feng Hongtao Su Meng Wang Tingting Su Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8839: Metaheuristic Approach to Synthesis of Suspension System of Mobile Robot for Mining Infrastructure Inspection
Szrek The article describes the problem of geometric synthesis of the inspection robot suspension system, designed for operation in difficult conditions with the presence of scattered obstacles. The exemplary application of a mine infrastructure inspection robot is developed and supported by the ideas. The brief introduction presents current trends, requirements and known design approaches of platforms enabled to cross the obstacles. The idea of a nature-inspired wheel-legged robot is given, and the general outline of its characteristics is provided. Then the general idea of kinematic system elements selection is discu...
Source: Sensors - November 15, 2022 Category: Biotechnology Authors: Mateusz Malarczyk Marcin Kaminski Jaroslaw Szrek Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8787: An Adaptive Sinusoidal-Disturbance-Strategy Sparrow Search Algorithm and Its Application
Liu In light of the problems of slow convergence speed, insufficient optimization accuracy and easy falling into local optima in the sparrow search algorithm, this paper proposes an adaptive sinusoidal-disturbance-strategy sparrow search algorithm (ASDSSA) and its mathematical equation. Firstly, the initial population quality of the algorithm is improved by fusing cubic chaos mapping and perturbation compensation factors; secondly, the sinusoidal-disturbance-strategy is introduced to update the mathematical equation of the discoverer’s position to improve the information exchange ability of the population...
Source: Sensors - November 14, 2022 Category: Biotechnology Authors: Feng Zheng Gang Liu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8771: Affective Computing Based on Morphological Features of Photoplethysmography for Patients with Hypertension
This study aimed to use five photoplethysmography (PPG) waveform indices and affective computing (AC) to discriminate the emotional states in patients with hypertension. Forty-three patients with essential hypertension were measured for blood pressure and PPG signals under baseline and four emotional conditions (neutral, anger, happiness, and sadness), and the PPG signals were transformed into the mean standard deviation of five PPG waveform indices. A support vector machine was used as a classifier. The performance of the classifier was verified by using resubstitution and six-fold cross-validation (CV) methods. Feature s...
Source: Sensors - November 13, 2022 Category: Biotechnology Authors: Sung-Nien Yu I-Mei Lin San-Yu Wang Yi-Cheng Hou Sheng-Po Yao Chun-Ying Lee Chai-Jan Chang Chih-Sheng Chu Tsung-Hsien Lin Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8720: Data Fusion Methods for Indoor Positioning Systems Based on Channel State Information Fingerprinting
This study proposes a positive knowledge transfer-based heterogeneous data fusion method for representing the different scenarios of temporal variations in CSI-based fingerprint measurements generated in a complex indoor environment targeting indoor parking lots, while reducing the training calibration overhead. Extensive experiments were performed with real-world scenarios of the indoor parking phenomenon. Results revealed that the proposed algorithm proved to be an efficient algorithm with consistent positioning accuracy across all potential variations. In addition to improving indoor parking location accuracy, the propo...
Source: Sensors - November 11, 2022 Category: Biotechnology Authors: Hailu Tesfay Gidey Xiansheng Guo Ke Zhong Lin Li Yukun Zhang Tags: Article Source Type: research