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Total 1478 results found since Jan 2013.

Sensors, Vol. 22, Pages 7656: Constrained Planar Array Thinning Based on Discrete Particle Swarm Optimization with Hybrid Search Strategies
This article presents a novel optimization algorithm for large array thinning. The algorithm is based on Discrete Particle Swarm Optimization (DPSO) integrated with some different search strategies. It utilizes a global learning strategy to improve the diversity of populations at the early stage of optimization. A dispersive solution set and the gravitational search algorithm are used during particle velocity updating. Then, a local search strategy is enabled in the later stage of optimization. The particle position is adaptively adjusted by the mutation probability, and its motion state is monitored by two observation par...
Source: Sensors - October 9, 2022 Category: Biotechnology Authors: Cai Ji Guo Mei Zeng Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8545: SCA: Search-Based Computing Hardware Architecture with Precision Scalable and Computation Reconfigurable Scheme
Zhou Deep neural networks have been deployed in various hardware accelerators, such as graph process units (GPUs), field-program gate arrays (FPGAs), and application specific integrated circuit (ASIC) chips. Normally, a huge amount of computation is required in the inference process, creating significant logic resource overheads. In addition, frequent data accessions between off-chip memory and hardware accelerators create bottlenecks, leading to decline in hardware efficiency. Many solutions have been proposed to reduce hardware overhead and data movements. For example, specific lookup-table (LUT)-based hardware arch...
Source: Sensors - November 6, 2022 Category: Biotechnology Authors: Liang Chang Xin Zhao Jun Zhou 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 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 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. 23, Pages 1900: Multi Modal Feature Extraction for Classification of Vascular Dementia in Post-Stroke Patients Based on EEG Signal
This study used 19 EEG channels recorded from normal elderly, post-stroke with mild cognitive impairment, and post-stroke with dementia. The QEEG method used for feature extraction includes relative power, coherence, and signal complexity; the evaluation performance of normal-mild cognitive impairment-dementia classification was conducted using Support Vector Machine and K-Nearest Neighbor. The results of the classification simulation showed the highest accuracy of 96% by Gaussian SVM with a sensitivity and specificity of 95.6% and 97.9%, respectively. This study is expected to be an additional criterion in the diagnosis o...
Source: Sensors - February 8, 2023 Category: Biotechnology Authors: Sugondo Hadiyoso Hasballah Zakaria Paulus Anam Ong Tati Latifah Erawati Rajab Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5881: Co-Design Dedicated System for Efficient Object Tracking Using Swarm Intelligence-Oriented Search Strategies
Varsha Arya The template matching technique is one of the most applied methods to find patterns in images, in which a reduced-size image, called a target, is searched within another image that represents the overall environment. In this work, template matching is used via a co-design system. A hardware coprocessor is designed for the computationally demanding step of template matching, which is the calculation of the normalized cross-correlation coefficient. This computation allows invariance in the global brightness changes in the images, but it is computationally more expensive when using images of larger dimensions,...
Source: Sensors - June 25, 2023 Category: Biotechnology Authors: Nadia Nedjah Alexandre V. Cardoso Yuri M. Tavares Luiza de Macedo Mourelle Brij Booshan Gupta Varsha Arya Tags: Article Source Type: research

Sensors, Vol. 15, Pages 5474-5503: Distributed Efficient Similarity Search Mechanism in Wireless Sensor Networks
The Wireless Sensor Network similarity search problem has received considerable research attention due to sensor hardware imprecision and environmental parameter variations. Most of the state-of-the-art distributed data centric storage (DCS) schemes lack optimization for similarity queries of events. In this paper, a DCS scheme with metric based similarity searching (DCSMSS) is proposed. DCSMSS takes motivation from vector distance index, called iDistance, in order to transform the issue of similarity searching into the problem of an interval search in one dimension. In addition, a sector based distance routing algorithm i...
Source: Sensors - March 5, 2015 Category: Biotechnology Authors: Khandakar AhmedMark Gregory Tags: Article Source Type: research

Sensors, Vol. 16, Pages 497: Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data
In this paper, a method of vascular structure identification in intraoperative 3D Contrast-Enhanced Ultrasound (CEUS) data is presented. Ultrasound imaging is commonly used in brain tumor surgery to investigate in real time the current status of cerebral structures. The use of an ultrasound contrast agent enables to highlight tumor tissue, but also surrounding blood vessels. However, these structures can be used as landmarks to estimate and correct the brain shift. This work proposes an alternative method for extracting small vascular segments close to the tumor as landmark. The patient image dataset involved in brain tumo...
Source: Sensors - April 7, 2016 Category: Biotechnology Authors: Elisee Ilunga-MbuyambaJuan Avina-CervantesDirk LindnerIvan Cruz-AcevesFelix ArltClaire Chalopin Tags: Article Source Type: research

Sensors, Vol. 16, Pages 600: Search Techniques for the Web of Things: A Taxonomy and Survey
The Web of Things aims to make physical world objects and their data accessible through standard Web technologies to enable intelligent applications and sophisticated data analytics. Due to the amount and heterogeneity of the data, it is challenging to perform data analysis directly; especially when the data is captured from a large number of distributed sources. However, the size and scope of the data can be reduced and narrowed down with search techniques, so that only the most relevant and useful data items are selected according to the application requirements. Search is fundamental to the Web of Things while challengi...
Source: Sensors - April 26, 2016 Category: Biotechnology Authors: Yuchao ZhouSuparna DeWei WangKlaus Moessner Tags: Review Source Type: research

Sensors, Vol. 17, Pages 1423: A Hybrid Scheme for Fine-Grained Search and Access Authorization in Fog Computing Environment
In the fog computing environment, the encrypted sensitive data may be transferred to multiple fog nodes on the edge of a network for low latency; thus, fog nodes need to implement a search over encrypted data as a cloud server. Since the fog nodes tend to provide service for IoT applications often running on resource-constrained end devices, it is necessary to design lightweight solutions. At present, there is little research on this issue. In this paper, we propose a fine-grained owner-forced data search and access authorization scheme spanning user-fog-cloud for resource constrained end users. Compared to existing scheme...
Source: Sensors - June 17, 2017 Category: Biotechnology Authors: Min Xiao Jing Zhou Xuejiao Liu Mingda Jiang Tags: Article Source Type: research

Sensors, Vol. 17, Pages 2426: A Search-and-Rescue Robot System for Remotely Sensing the Underground Coal Mine Environment
Yi Liu This paper introduces a search-and-rescue robot system used for remote sensing of the underground coal mine environment, which is composed of an operating control unit and two mobile robots with explosion-proof and waterproof function. This robot system is designed to observe and collect information of the coal mine environment through remote control. Thus, this system can be regarded as a multifunction sensor, which realizes remote sensing. When the robot system detects danger, it will send out signals to warn rescuers to keep away. The robot consists of two gas sensors, two cameras, a two-way audio, a 1 km-lo...
Source: Sensors - October 23, 2017 Category: Biotechnology Authors: Jingchao Zhao Junyao Gao Fangzhou Zhao Yi Liu Tags: Article Source Type: research

Sensors, Vol. 18, Pages 1189: Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage
ming Zhao Smart sensor-equipped mobile devices sense, collect, and process data generated by the edge network to achieve intelligent control, but such mobile devices usually have limited storage and computing resources. Mobile cloud storage provides a promising solution owing to its rich storage resources, great accessibility, and low cost. But it also brings a risk of information leakage. The encryption of sensitive data is the basic step to resist the risk. However, deploying a high complexity encryption and decryption algorithm on mobile devices will greatly increase the burden of terminal operation and the difficul...
Source: Sensors - April 13, 2018 Category: Biotechnology Authors: Yeting Guo Fang Liu Zhiping Cai Nong Xiao Ziming Zhao Tags: Article Source Type: research

Sensors, Vol. 19, Pages 219: Automated Recognition of Epileptic EEG States Using a Combination of Symlet Wavelet Processing, Gradient Boosting Machine, and Grid Search Optimizer
Ni Li Automatic recognition methods for non-stationary electroencephalogram (EEG) data collected from EEG sensors play an essential role in neurological detection. The integrated approaches proposed in this study consist of Symlet wavelet processing, a gradient boosting machine, and a grid search optimizer for a three-class classification scheme for normal subjects, intermittent epilepsy, and continuous epilepsy. Fourth-order Symlet wavelets are adopted to decompose the EEG data into five frequencies sub-bands, such as gamma, beta, alpha, theta, and delta, whose statistical features were computed and used as classifica...
Source: Sensors - January 9, 2019 Category: Biotechnology Authors: Xiashuang Wang Guanghong Gong Ni Li Tags: Article Source Type: research

Sensors, Vol. 19, Pages 1545: Profit-Driven Adaptive Moving Targets Search with UAV Swarms
Hui Li This paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and shared information, the UAV swarm tries to maximize its average observation rate on targets. Unlike traditional approaches that treat the impact from different sources separately, our framework characterizes the impact of moving targets and collaborating UAVs on the moving decision for each UAV with a unified metric called observation pro...
Source: Sensors - March 29, 2019 Category: Biotechnology Authors: Xianfeng Li Jie Chen Fan Deng Hui Li Tags: Article Source Type: research