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Total 1395 results found since Jan 2013.

Sensors, Vol. 20, Pages 3509: Wireless Sensor Networks Fault-Tolerance Based on Graph Domination with Parallel Scatter Search
l-Sayed In wireless sensor/ad hoc networks, all wireless nodes frequently flood the network channel by transmitting control messages causing “broadcast storm problem”. Thus, inspired by the physical backbone in wired networks, a Virtual Backbone (VB) in wireless sensor/ad hoc networks can help achieve efficient broadcasting. A well-known and well-researched approach for constructing virtual backbone is solving the Connected Dominating Set (CDS) problem. Furthermore, minimizing the size of the CDS is a significant research issue. We propose a new parallel scatter search algorithm with elite a...
Source: Sensors - June 20, 2020 Category: Biotechnology Authors: Abdel-Rahman Hedar Shada N. Abdulaziz Emad Mabrouk Gamal A. El-Sayed Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3697: Hyperparameter Optimization Method Based on Harmony Search Algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System
In this study, we propose a method to find an optimal combination of hyperparameters to improve the accuracy of respiration pattern recognition in a 1D (Dimensional) convolutional neural network (CNN). The proposed method is designed to integrate with a 1D CNN using the harmony search algorithm. In an experiment, we used the depth of the convolutional layer of the 1D CNN, the number and size of kernels in each layer, and the number of neurons in the dense layer as hyperparameters for optimization. The experimental results demonstrate that the proposed method provided a recognition rate for five respiration patterns of appr...
Source: Sensors - June 30, 2020 Category: Biotechnology Authors: Seong-Hoon Kim Zong Woo Geem Gi-Tae Han Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5223: AiRobSim: Simulating a Multisensor Aerial Robot for Urban Search and Rescue Operation and Training
In this study, we developed a framework, AiRobSim, to simulate an aerial robot to acquire both aboveground and underground information for post-disaster SaR. The integration of UAV, ground-penetrating radar (GPR), and other sensors, such as global navigation satellite system (GNSS), inertial measurement unit (IMU), and cameras, enables the aerial robot to provide a holistic view of the complex urban disaster areas. The robot-collected data can help locate critical spaces under the rubble to save trapped victims. The simulation framework can serve as a virtual training platform for novice users to control and operate the ro...
Source: Sensors - September 12, 2020 Category: Biotechnology Authors: Chen Li Liu Li Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5279: Hybrid Attention Network for Language-Based Person Search
Xiao Language-based person search retrieves images of a target person using natural language description and is a challenging fine-grained cross-modal retrieval task. A novel hybrid attention network is proposed for the task. The network includes the following three aspects: First, a cubic attention mechanism for person image, which combines cross-layer spatial attention and channel attention. It can fully excavate both important midlevel details and key high-level semantics to obtain better discriminative fine-grained feature representation of a person image. Second, a text attention network for language description...
Source: Sensors - September 14, 2020 Category: Biotechnology Authors: Li Xu Xiao Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6568: Motion-Encoded Electric Charged Particles Optimization for Moving Target Search Using Unmanned Aerial Vehicles
This study is directly applicable to a real-world scenario, for instance the movement of a misplaced animal can be detected and subsequently its location can be transmitted to its caretaker. Using Bayesian theory, finding the location of a moving target is formulated as an optimization problem wherein the objective function is to maximize the probability of detecting the target. In the proposed ECPO-ME algorithm, the search trajectory is encoded as a series of UAV motion paths. These paths evolve in each iteration of the ECPO-ME algorithm. The performance of the algorithm is tested for six different scenarios with differen...
Source: Sensors - September 30, 2021 Category: Biotechnology Authors: Mohammed A. Alanezi Houssem R. E. H. Bouchekara Mohammad S. Shahriar Yusuf A. Sha ’aban Muhammad S. Javaid Mohammed Khodja Tags: Article Source Type: research

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