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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 6609: Learning Modality Complementary Features with Mixed Attention Mechanism for RGB-T Tracking
Jin Yu RGB-T tracking involves the use of images from both visible and thermal modalities. The primary objective is to adaptively leverage the relatively dominant modality in varying conditions to achieve more robust tracking compared to single-modality tracking. An RGB-T tracker based on a mixed-attention mechanism to achieve a complementary fusion of modalities (referred to as MACFT) is proposed in this paper. In the feature extraction stage, we utilize different transformer backbone branches to extract specific and shared information from different modalities. By performing mixed-attention operations in the backbon...
Source: Sensors - July 22, 2023 Category: Biotechnology Authors: Yang Luo Xiqing Guo Mingtao Dong Jin Yu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6601: Use of Virtual Reality-Based Games to Improve Balance and Gait of Children and Adolescents with Sensorineural Hearing Loss: A Systematic Review and Meta-Analysis
Conclusion: Virtual reality-based games show promise as a potential technology to be included among the therapeutic options for rehabilitating the balance of children and adolescents with SNHL. However, given the methodological limitations of the trials and the overall low quality of evidence currently available on this topic, caution should be exercised when interpreting the results of the trials analyzed in this systematic review.
Source: Sensors - July 22, 2023 Category: Biotechnology Authors: Renato S. Melo Andrea Lemos Alexandre Delgado Maria Cristina Falc ão Raposo Karla M ônica Ferraz Rosalie Barreto Belian Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6597: Food Choices after Cognitive Load: An Affective Computing Approach
This study aims to explore the potential for developing an integrated eating behaviour assistant system that incorporates cognitive load factors. Two experimental sessions were conducted using custom-developed experimentation software to induce different stimuli. During these sessions, we collected 30 h of physiological, food consumption, and affective states questionnaires data to automatically detect cognitive load and analyse its effect on food choice. Utilising grid search optimisation and leave-one-subject-out cross-validation, a support vector machine model achieved a mean classification accuracy of 85.12% for the tw...
Source: Sensors - July 21, 2023 Category: Biotechnology Authors: Arpita Mallikarjuna Kappattanavar Pascal Hecker Sidratul Moontaha Nico Steckhan Bert Arnrich Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6593: Energy Harvesting System Whose Potential Is Mapped with the Modified Fibonacci Function
We present the issue of the occurrence of transient chaos in the analyzed systems. In the second part of this work, we determine and compare the effectiveness of the tested structures depending on the characteristics of the bumpers and an external excitation whose dynamics are described by the harmonic function, and find the best solutions from the point view of energy harvesting. The most effective impact of the use of bumpers can be observed when dealing with systems described by potential with deep external wells. In addition, the use of the Fibonacci hyperbolic sine is a simple and effective numerical tool for mapping ...
Source: Sensors - July 21, 2023 Category: Biotechnology Authors: Jerzy Margielewicz Damian G ąska Grzegorz Litak Jacek Caban Agnieszka Dudziak Xiaoqing Ma Shengxi Zhou Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6520: Cross-Layer Design for Energy-Efficient Reliable Multi-Path Transmission in Event-Driven Wireless Sensor Networks
uan In event-driven wireless sensor networks (WSNs), a reliable, efficient, and scalable routing solution is required for the reliable delivery of sensory data to the base station (BS). However, existing routing algorithms rarely address the issue of energy efficiency under multi-path conflicts for multi-event-driven scenarios. In order to maximize energy efficiency while maintaining a manageable conflict probability, this paper investigates a cross-layer design of routing and power control for multi-event-driven WSNs. We first develop a mathematical characterization of the conflict probability in multi-path routing, a...
Source: Sensors - July 19, 2023 Category: Biotechnology Authors: Huihui Xu Xiaobing Yuan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6484: The Principles of Hearable Photoplethysmography Analysis and Applications in Physiological Monitoring & ndash;A Review
Conclusions: The available evidence has revealed the future of in-ear PPG in physiological monitoring. We have also analyzed the potential limitation and challenges that in-ear PPG will face in processing the signal.
Source: Sensors - July 18, 2023 Category: Biotechnology Authors: Khalida Azudin Kok Beng Gan Rosmina Jaafar Mohd Hasni Ja ’afar Tags: Review Source Type: research

Sensors, Vol. 23, Pages 6463: An Enhanced Flower Pollination Algorithm with Gaussian Perturbation for Node Location of a WSN
Dan Yu Localization is one of the essential problems in internet of things (IoT) and wireless sensor network (WSN) applications. However, most traditional range-free localization algorithms cannot fulfill the practical demand for high localization accuracy. Therefore, a localization algorithm based on an enhanced flower pollination algorithm (FPA) with Gaussian perturbation (EFPA-G) and the DV-Hop method is proposed.FPA is widely applied, but premature convergence still cannot be avoided. How to balance its global exploration and local exploitation capabilities still remains an outstanding problem. Therefore, the fo...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Jun Zheng Ting Yuan Wenwu Xie Zhihe Yang Dan Yu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6476: A Novel Approach for Apple Freshness Prediction Based on Gas Sensor Array and Optimized Neural Network
Wenbin Du Apple is an important cash crop in China, and the prediction of its freshness can effectively reduce its storage risk and avoid economic loss. The change in the concentration of odor information such as ethylene, carbon dioxide, and ethanol emitted during apple storage is an important feature to characterize the freshness of apples. In order to accurately predict the freshness level of apples, an electronic nose system based on a gas sensor array and wireless transmission module is designed, and a neural network prediction model using an improved Sparrow Search Algorithm (SSA) based on chaotic sequence (Tent)...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Wei Wang Weizhen Yang Maozhen Li Zipeng Zhang Wenbin Du Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6448: Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning
ori Owada Natural disasters, including earthquakes, floods, landslides, tsunamis, wildfires, and hurricanes, have become more common in recent years due to rapid climate change. For Post-Disaster Management (PDM), authorities deploy various types of user equipment (UE) for the search and rescue operation, for example, search and rescue robots, drones, medical robots, smartphones, etc., via the Internet of Robotic Things (IoRT) supported by cellular 4G/LTE/5G and beyond or other wireless technologies. For uninterrupted communication services, movable and deployable resource units (MDRUs) have been utilized where the bas...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Homayun Kabir Mau-Luen Tham Yoong Choon Chang Chee-Onn Chow Yasunori Owada Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6446: ESAMask: Real-Time Instance Segmentation Fused with Efficient Sparse Attention
Jie Ren Instance segmentation is a challenging task in computer vision, as it requires distinguishing objects and predicting dense areas. Currently, segmentation models based on complex designs and large parameters have achieved remarkable accuracy. However, from a practical standpoint, achieving a balance between accuracy and speed is even more desirable. To address this need, this paper presents ESAMask, a real-time segmentation model fused with efficient sparse attention, which adheres to the principles of lightweight design and efficiency. In this work, we propose several key contributions. Firstly, we introduce ...
Source: Sensors - July 16, 2023 Category: Biotechnology Authors: Qian Zhang Lu Chen Mingwen Shao Hong Liang Jie Ren Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6432: Heuristics and Learning Models for Dubins MinMax Traveling Salesman Problem
nam This paper addresses a MinMax variant of the Dubins multiple traveling salesman problem (mTSP). This routing problem arises naturally in mission planning applications involving fixed-wing unmanned vehicles and ground robots. We first formulate the routing problem, referred to as the one-in-a-set Dubins mTSP problem (MD-GmTSP), as a mixed-integer linear program (MILP). We then develop heuristic-based search methods for the MD-GmTSP using tour construction algorithms to generate initial feasible solutions relatively fast and then improve on these solutions using variants of the variable neighborhood search (VNS) meta...
Source: Sensors - July 15, 2023 Category: Biotechnology Authors: Abhishek Nayak Sivakumar Rathinam Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6379: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System
This study aims to propose an IoT threat protection system (IoTTPS) to protect the IoT network from threats using an ensemble model RKSVM, comprising a random forest (RF), K nearest neighbor (KNN), and support vector machine (SVM) model. The software-defined networks (SDN)-based IoT network datasets such as KDD cup 99, NSL-KDD, and CICIDS are used for threat detection based on machine learning. The experimental phase is conducted by using a decision tree (DT), logistic regression (LR), Naive Bayes (NB), RF, SVM, gradient boosting machine (GBM), KNN, and the proposed ensemble RKSVM model. Furthermore, performance is optimiz...
Source: Sensors - July 13, 2023 Category: Biotechnology Authors: Urooj Akram Wareesa Sharif Mobeen Shahroz Muhammad Faheem Mushtaq Daniel Gavilanes Aray Ernesto Bautista Thompson Isabel de la Torre Diez Sirojiddin Djuraev Imran Ashraf Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6367: An Interface Setup Optimization Method Using a Throughput Estimation Model for Concurrently Communicating Access Points in a Wireless Local Area Network
Shihao Fang The IEEE 802.11 wireless local-area network (WLAN) has been deployed around the globe as a major Internet access medium due to its low cost and high flexibility and capacity. Unfortunately, dense wireless networks can suffer from poor performance due to high levels of radio interference resulting from adjoining access points (APs). To address this problem, we studied the AP transmission power optimization method, which selects the maximum or minimum power supplied to each AP so that the average signal-to-interference ratio (SIR) among the concurrently communicating APs is maximized.However, this method requ...
Source: Sensors - July 13, 2023 Category: Biotechnology Authors: Fatema Akhter Nobuo Funabiki Ei Ei Htet Bin Wu Dezheng Kong Shihao Fang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6363: Low-Complexity Joint Angle of Arrival and Time of Arrival Estimation of Multipath Signal in UWB System
i Zhang In an ultra-wideband (UWB) system, the two-dimensional (2D) multiple signal classification (MUSIC) algorithms based on high-precision 2D spectral peak search can jointly estimate the time of arrival (TOA) and angle of arrival (AOA). However, the computational complexity of 2D-MUSIC is very high, and the corresponding data model is only based on the dual antennas. To solve these problems, a low-complexity algorithm for joint AOA and TOA estimation of the multipath ultra-wideband signal is proposed. Firstly, the dual antenna sensing data model is extended to the antenna array case. Then, based on the array-sensin...
Source: Sensors - July 13, 2023 Category: Biotechnology Authors: Weiming Deng Jianfeng Li Yawei Tang Xiaofei Zhang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6303: Multi-Objective Optimization Method for Signalized Intersections in Intelligent Traffic Network
Rui Men Urban intersections are one of the most common sources of traffic congestion. Especially for multiple intersections, an appropriate control method should be able to regulate the traffic flow within the control area. The intersection signal-timing problem is crucial for ensuring efficient traffic operations, with the key issues being the determination of a traffic model and the design of an optimization algorithm. So, an optimization method for signalized intersections integrating a multi-objective model and an NSGAIII-DAE algorithm is established in this paper. Firstly, the multi-objective model is constructe...
Source: Sensors - July 11, 2023 Category: Biotechnology Authors: Xinghui Zhang Xiumei Fan Shunyuan Yu Axida Shan Rui Men Tags: Article Source Type: research