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Total 1395 results found since Jan 2013.

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 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 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. 23, Pages 49: Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human & ndash;Robot Architecture for Search and Rescue
Sensors, Vol. 23, Pages 49: Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue Sensors doi: 10.3390/s23010049 Authors: Pablo Vera-Ortega Ricardo Vázquez-Martín J. J. Fernandez-Lozano Alfonso García-Cerezo Anthony Mandow The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of heal...
Source: Sensors - December 21, 2022 Category: Biotechnology Authors: Pablo Vera-Ortega Ricardo V ázquez-Martín J. J. Fernandez-Lozano Alfonso Garc ía-Cerezo Anthony Mandow Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2218: A Novel Technique to Mitigate the Data Redundancy and to Improvise Network Lifetime Using Fuzzy Criminal Search Ebola Optimization for WMSN
dar Wireless Multimedia Sensor Network (WMSN) is a powerful technology that is widely used to gather data and monitor the actual environment for analysis. Furthermore, multimedia applications’ needs and the features, such as constrained latency and high bandwidth consumption, complicate the design of WMSN routing protocols. Despite several methods, the trouble of designing WMSNs routing protocol remains a hurdle. The miniaturization and enhancement of hardware facilitate an extensive range of applications in the military and public sectors. On the contrary, the streaming of multimedia content is captured ...
Source: Sensors - February 16, 2023 Category: Biotechnology Authors: M. A. Matheen S. Sundar Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3222: Sieve Search Centroiding Algorithm for Star Sensors
ingru The localization of the center of the star image formed on a sensor array directly affects attitude estimation accuracy. This paper proposes an intuitive self-evolving centroiding algorithm, termed the sieve search algorithm (SSA), which employs the structural properties of the point spread function. This method maps the gray-scale distribution of the star image spot into a matrix. This matrix is further segmented into contiguous sub-matrices, referred to as sieves. Sieves comprise a finite number of pixels. These sieves are evaluated and ranked based on their degree of symmetry and magnitude. Every pixel in the ...
Source: Sensors - March 17, 2023 Category: Biotechnology Authors: Vivek Chandran Karaparambil Narayan Suresh Manjarekar Pravin Madanrao Singru Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3600: A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network
i Guo To better solve the problem of thermal error of computerized numerical control machining equipment (CNCME), a thermal error prediction model based on the sparrow search algorithm and long short-term memory neural network (SSA-LSTMNN) is proposed. Firstly, the Fuzzy C-means clustering algorithm (FCMCA) is used to screen the key temperature-sensitive points of the CNCME. Secondly, by taking the temperature rise data of key temperature-sensitive points as input and the corresponding time thermal error data as output, we established the SSA-LSTMNN thermal error prediction model. The SSA is used to optimize the parame...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: Ying Gao Xiaojun Xia Yinrui Guo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4792: A Hybrid Feature Selection and Multi-Label Driven Intelligent Fault Diagnosis Method for Gearbox
g Jiang Gearboxes are utilized in practically all complicated machinery equipment because they have great transmission accuracy and load capacities, so their failure frequently results in significant financial losses. The classification of high-dimensional data remains a difficult topic despite the fact that numerous data-driven intelligent diagnosis approaches have been suggested and employed for compound fault diagnosis in recent years with successful outcomes. In order to achieve the best diagnostic performance as the ultimate objective, a feature selection and fault decoupling framework is proposed in this paper. T...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Di Liu Xiangfeng Zhang Zhiyu Zhang Hong Jiang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5433: DGTTSSA: Data Gathering Technique Based on Trust and Sparrow Search Algorithm for WSNs
d Salim Wireless Sensor Networks (WSNs) have been successfully utilized for developing various collaborative and intelligent applications that can provide comfortable and smart-economic life. This is because the majority of applications that employ WSNs for data sensing and monitoring purposes are in open practical environments, where security is often the first priority. In particular, the security and efficacy of WSNs are universal and inevitable issues. One of the most effective methods for increasing the lifetime of WSNs is clustering. In cluster-based WSNs, Cluster Heads (CHs) play a critical role; however, if the...
Source: Sensors - June 8, 2023 Category: Biotechnology Authors: Walid Osamy Ahmed M. Khedr Bader Alwasel Ahmed Salim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6835: Search and Study of Marked Code Structures for a Spatially Distributed System of Small-Sized Airborne Radars
hev When forming the radar situation of a terrain, in order to increase its information content and to extract useful information, multi-position spatially distributed systems for integrating multi-angle radar data established by small-sized UAV-based airborne radars are used. In this case, each radar station belonging to a multi-position system as a probing signal must have its own unique marked signal. Such a setup will allow the signals reflected from ground objects and zones to be “attached” to specific receiving-transmitting positions of the multi-position system. This requirement resul...
Source: Sensors - July 31, 2023 Category: Biotechnology Authors: Vadim A. Nenashev Sergey A. Nenashev Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7052: Reconfiguration Error Correction Model for an FBG Shape Sensor Based on the Sparrow Search Algorithm
Liu A reconfiguration error correction model for an FBG shape sensor (FSS) is proposed. The model includes curvature, bending direction error correction, and the self-correction of the FBG placement angle and calibration error based on an improved sparrow search algorithm (SSA). SSA could automatically correct the placement angle and calibration direction of the FBG, and then use the corrected placement angle and calibration direction to correct the curvature and bending direction of the FSS, thereby improving the accuracy of shape reconfiguration. After error correction, the tail point reconfiguration errors of differ...
Source: Sensors - August 9, 2023 Category: Biotechnology Authors: Qiufeng Shang Feng Liu Tags: Article Source Type: research