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Total 1478 results found since Jan 2013.

Sensors, Vol. 21, Pages 7346: Autonomous Thermal Vision Robotic System for Victims Recognition in Search and Rescue Missions
Cerro Technological breakthroughs in recent years have led to a revolution in fields such as Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and development of new and improved neural networks to vision models together with modern optical sensors that incorporate thermal cameras, capable of capturing data in post-disaster environments (PDE) with rustic conditions (low luminosity, suspended particles, obstructive materials). Due to the high risk posed by PDE because of the potential collapse of structures, electrical hazards, gas leakage, etc., primary intervention tasks such as victim id...
Source: Sensors - November 4, 2021 Category: Biotechnology Authors: Christyan Cruz Ulloa Guillermo Prieto S ánchez Antonio Barrientos Jaime Del Cerro Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7843: The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study
This article proposes X-IoCA, an Internet of robotic things (IoRT) and communication architecture consisting of a hybrid and heterogeneous network of wireless transceivers (H2WTN), based on LoRa and BLE technologies, and a robot operating system (ROS) network. The IoRT is connected to a feedback information system (FIS) distributed among multi-access edge computing (MEC) centers. Furthermore, we present SAR-IoCA, an implementation of the architecture for search and rescue (SAR) integrated into a 5G network. The FIS for this application consists of an SAR-FIS (including a path planner for UGVs considering risks detected by ...
Source: Sensors - November 25, 2021 Category: Biotechnology Authors: Juan Bravo-Arrabal Manuel Toscano-Moreno J. J. Fernandez-Lozano Anthony Mandow Jose Antonio Gomez-Ruiz Alfonso Garc ía-Cerezo Tags: Article Source Type: research

Sensors, Vol. 22, Pages 851: Optimal Design of PV Systems in Electrical Distribution Networks by Minimizing the Annual Equivalent Operative Costs through the Discrete-Continuous Vortex Search Algorithm
ández This paper discusses the minimization of the total annual operative cost for a planning period of 20 years composed by the annualized costs of the energy purchasing at the substation bus summed with the annualized investment costs in photovoltaic (PV) sources, including their maintenance costs in distribution networks based on their optimal siting and sizing. This problem is presented using a mixed-integer nonlinear programming model, which is resolved by applying a master–slave methodology. The master stage, consisting of a discrete-continuous version of the Vortex Search Algorithm (DCVSA), is res...
Source: Sensors - January 23, 2022 Category: Biotechnology Authors: Brandon Cort és-Caicedo Federico Molina-Martin Luis Fernando Grisales-Nore ña Oscar Danilo Montoya Jesus C. Hern ández Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1202: FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area
ong Kim We propose a frequency-modulated continuous wave (FMCW) radar estimation algorithm with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms and multiple signal classification (MUSIC) algorithms are used as algorithms for estimating target parameters in the FMCW radar systems. FFT-based and MUSIC algorithms have tradeoff characteristics between resolution performance and complexity. While FFT-based algorithms have the advantage of very low complexity, they have the disadvantage of a low-resolution performance; that is, estimating multiple targets with similar parameters as a sin...
Source: Sensors - February 5, 2022 Category: Biotechnology Authors: Bong-Seok Kim Youngseok Jin Jonghun Lee Sangdong Kim Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1280: Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for Real-Time Video Tracking
Ontanon-Garcia Video tracking involves detecting previously designated objects of interest within a sequence of image frames. It can be applied in robotics, unmanned vehicles, and automation, among other fields of interest. Video tracking is still regarded as an open problem due to a number of obstacles that still need to be overcome, including the need for high precision and real-time results, as well as portability and low-power demands. This work presents the design, implementation and assessment of a low-power embedded system based on an SoC-FPGA platform and the honeybee search algorithm (HSA) for real-time video...
Source: Sensors - February 8, 2022 Category: Biotechnology Authors: Carlos Soubervielle-Montalvo Oscar E. Perez-Cham Cesar Puente Emilio J. Gonzalez-Galvan Gustavo Olague Carlos A. Aguirre-Salado Juan C. Cuevas-Tello Luis J. Ontanon-Garcia Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1701: Scalable Fire and Smoke Segmentation from Aerial Images Using Convolutional Neural Networks and Quad-Tree Search
ardino Autonomous systems can help firefighting operations by detecting and locating the fire spot from surveillance images and videos. Similar to many other areas of computer vision, Convolutional Neural Networks (CNNs) have achieved state-of-the-art results for fire and smoke detection and segmentation. In practice, input images to a CNN are usually downsized to fit into the network to avoid computational complexities and restricted memory problems. Although in many applications downsizing is not an issue, in the early phases of fire ignitions downsizing may eliminate the fire regions since the incident regions are s...
Source: Sensors - February 22, 2022 Category: Biotechnology Authors: Gon çalo Perrolas Milad Niknejad Ricardo Ribeiro Alexandre Bernardino Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1736: Multi Swarm Optimization Based Clustering with Tabu Search in Wireless Sensor Network
handran Wireless Sensor Networks (WSNs) can be defined as a cluster of sensors with a restricted power supply deployed in a specific area to gather environmental data. One of the most challenging areas of research is to design energy-efficient data gathering algorithms in large-scale WSNs, as each sensor node, in general, has limited energy resources. Literature review shows that with regards to energy saving, clustering-based techniques for data gathering are quite effective. Moreover, cluster head (CH) optimization is a non-deterministic polynomial (NP) hard problem. Both the lifespan of the network and its energy ef...
Source: Sensors - February 23, 2022 Category: Biotechnology Authors: Sundararaj Suganthi Nagappan Umapathi Miroslav Mahdal Manickam Ramachandran Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1800: Estimating the Emotional Information in Japanese Songs Using Search Engines
hi Kiyota Several studies have shown that music can reduce unpleasant emotions. Based on the results of this research, several systems have been proposed to suggest songs that match the emotions of the audience. As a part of the system, we aim to develop a method that can infer the emotional value of a song from its Japanese lyrics with higher accuracy, by applying the technology of inferring the emotions expressed in sentences. In addition to matching with a basic emotion dictionary, we use a Web search engine to evaluate the sentiment of words that are not included in the dictionary. As a further improvement, as a...
Source: Sensors - February 24, 2022 Category: Biotechnology Authors: Akaishi Sakata Yoshinaga Nakano Koshi Kiyota Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2502: A Sampling-Based Unfixed Orientation Search Method for Dual Manipulator Cooperative Manufacturing
Xu The case of dual manipulators with shared workspace, asynchronous manufacturing tasks, and independent objects is named a dual manipulator cooperative manufacturing system, which requires collision-free path planning as a vital issue in terms of safety and efficiency. This paper combines the mathematical modeling method with the time sampling method in the classification of robot path-planning algorithms. Through this attempt we can achieve an optimal local search path during each sampling period interval. Our strategy is to build the corresponding non-linear optimization functions set based on the motion character...
Source: Sensors - March 24, 2022 Category: Biotechnology Authors: Chang Su Jianfeng Xu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4304: A Repair Method for Missing Traffic Data Based on FCM, Optimized by the Twice Grid Optimization and Sparrow Search Algorithms
In this study, an improved Fuzzy C-Means algorithm is proposed to repair missing traffic data, and three different repair modes are established according to the correlation of time, space, and attribute value of traffic flow. First, a Twice Grid Optimization (TGO) algorithm is proposed to provide a reliable initial clustering center for the FCM algorithm. Then the Sparrow Search Algorithm (SSA) is used to optimize the fuzzy weighting index m and classification number k of the FCM algorithm. Finally, an experimental test of the traffic sensor data in Shunyi District, Beijing, is employed to verify the effectiveness of the T...
Source: Sensors - June 6, 2022 Category: Biotechnology Authors: Pengcheng Li Baotian Dong Sixian Li Rusi Chu Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4899: SURF: Direction-Optimizing Breadth-First Search Using Workload State on GPUs
Oh Graph data structures have been used in a wide range of applications including scientific and social network applications. Engineers and scientists analyze graph data to discover knowledge and insights by using various graph algorithms. A breadth-first search (BFS) is one of the fundamental building blocks of complex graph algorithms and its implementation is included in graph libraries for large-scale graph processing. In this paper, we propose a novel direction selection method, SURF (Selecting directions Upon Recent workload of Frontiers) to enhance the performance of BFS on GPU. A direction optimization that se...
Source: Sensors - June 29, 2022 Category: Biotechnology Authors: Daegun Yoon Sangyoon Oh Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5425: Application of Chaos Mutation Adaptive Sparrow Search Algorithm in Edge Data Compression
Li In view of the large amount of data collected by an edge server, when compression technology is used for data compression, data classification accuracy is reduced and data loss is large. This paper proposes a data compression algorithm based on the chaotic mutation adaptive sparrow search algorithm (CMASSA). Constructing a new fitness function, CMASSA optimizes the hyperparameters of the Convolutional Auto-Encoder Network (CAEN) on the cloud service center, aiming to obtain the optimal CAEN model. The model is sent to the edge server to compress the data at the lower level of edge computing. The effectiveness of CM...
Source: Sensors - July 20, 2022 Category: Biotechnology Authors: Shaoming Qiu Ao Li Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7646: Noncontact Sleeping Heartrate Monitoring Method Using Continuous-Wave Doppler Radar Based on the Difference Quadratic Sum Demodulation and Search Algorithm
Ni Continuous-wave doppler radar, which has the advantages of simple structure, low cost, and low power consumption, has attracted extensive attention in the detection of human vital signs. However, while respiration and heartbeat signals are mixed in the echo phase, the amplitude difference between the two signals is so large that it becomes difficult to measure the heartrate (HR) from the interference of respiration stably and accurately. In this paper, the difference quadratic sum demodulation method is proposed. According to the mixed characteristics of respiration and heartbeat after demodulation, the heartbeat f...
Source: Sensors - October 9, 2022 Category: Biotechnology Authors: Xiao Chen Xuxiang Ni Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7725: Deep-E Enhanced Photoacoustic Tomography Using Three-Dimensional Reconstruction for High-Quality Vascular Imaging
In this study, we introduced a deep learning-assisted data process algorithm to enhance the image quality in linear-array-based PACT. Compared to our earlier study where training was performed on 2D reconstructed data, here, we utilized 2D and 3D reconstructed data to train the two networks separately. We then fused the image data from both 2D and 3D training to get features from both algorithms. The numerical and in vivo validations indicate that our approach can improve elevation resolution, recover the true size of the object, and enhance deep vessels. Our deep learning-assisted approach can be applied to translational ...
Source: Sensors - October 12, 2022 Category: Biotechnology Authors: Wenhan Zheng Huijuan Zhang Chuqin Huang Kaylin McQuillan Huining Li Wenyao Xu Jun Xia Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8295: Measuring Suite for Vascular Response Monitoring during Hyperbaric Oxygen Therapy by Means of Pulse Transit Time (PTT) Analysis
erben The efficacy of hyperbaric oxygen therapy in treating wound healing disorders is well established. The obvious explanation is the presence of elevated oxygen tissue tensions during the high-pressure oxygen exposure. This explanation omits that the effective agent, elevated oxygen tension, is only present for 6.25% of the time. To investigate possible prevailing vascular changes caused by HBOT, the presented device monitors the vascular response during therapy by Pulse-Transit-Time analysis. The device allows synchronous 1kHz ECG and PPG measurements. The data are stored in a 1 GBit flash drive and retrieved post-...
Source: Sensors - October 29, 2022 Category: Biotechnology Authors: Theresa Wandel Daniel Pascal Hausherr Dirk Berben Tags: Article Source Type: research