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Total 1478 results found since Jan 2013.

Sensors, Vol. 21, Pages 444: Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization
Meng Zhang With the development of deep learning technologies and edge computing, the combination of them can make artificial intelligence ubiquitous. Due to the constrained computation resources of the edge device, the research in the field of on-device deep learning not only focuses on the model accuracy but also on the model efficiency, for example, inference latency. There are many attempts to optimize the existing deep learning models for the purpose of deploying them on the edge devices that meet specific application requirements while maintaining high accuracy. Such work not only requires professional knowled...
Source: Sensors - January 10, 2021 Category: Biotechnology Authors: Zhao Yang Shengbing Zhang Ruxu Li Chuxi Li Miao Wang Danghui Wang Meng Zhang Tags: Article Source Type: research

Sensors, Vol. 17, Pages 2468: Trail-Based Search for Efficient Event Report to Mobile Actors in Wireless Sensor and Actor Networks
ilong Lin In wireless sensor and actor networks, when an event is detected, the sensor node needs to transmit an event report to inform the actor. Since the actor moves in the network to execute missions, its location is always unavailable to the sensor nodes. A popular solution is the search strategy that can forward the data to a node without its location information. However, most existing works have not considered the mobility of the node, and thus generate significant energy consumption or transmission delay. In this paper, we propose the trail-based search (TS) strategy that takes advantage of actor’s mobility ...
Source: Sensors - October 27, 2017 Category: Biotechnology Authors: Zhezhuang Xu Guanglun Liu Haotian Yan Bin Cheng Feilong Lin Tags: Article Source Type: research

Sensors, Vol. 18, Pages 1472: A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles
ei Fu In this paper, we mainly study a cooperative search and coverage algorithm for a given bounded rectangle region, which contains several unknown stationary targets, by a team of unmanned aerial vehicles (UAVs) with non-ideal sensors and limited communication ranges. Our goal is to minimize the search time, while gathering more information about the environment and finding more targets. For this purpose, a novel cooperative search and coverage algorithm with controllable revisit mechanism is presented. Firstly, as the representation of the environment, the cognitive maps that included the target probability map (TP...
Source: Sensors - May 8, 2018 Category: Biotechnology Authors: Zhong Liu Xiaoguang Gao Xiaowei Fu Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2535: A Probabilistic Target Search Algorithm Based on Hierarchical Collaboration for Improving Rapidity of Drones
a Finding a target quickly is one of the most important tasks in drone operations. In particular, rapid target detection is a critical issue for tasks such as finding rescue victims during the golden period, environmental monitoring, locating military facilities, and monitoring natural disasters. Therefore, in this study, an improved hierarchical probabilistic target search algorithm based on the collaboration of drones at different altitudes is proposed. This is a method for reducing the search time and search distance by improving the information transfer methods between high-altitude and low-altitude drones. Specifi...
Source: Sensors - August 2, 2018 Category: Biotechnology Authors: Il-Kyu Ha Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3461: Autonomous Search of Radioactive Sources through Mobile Robots
Yufeng Xiao The research of robotic autonomous radioactivity detection or radioactive source search plays an important role in the monitoring and disposal of nuclear safety and biological safety. In this paper, a method for autonomously searching for radioactive sources through mobile robots was proposed. In the method, by using a partially observable Markov decision process (POMDP), the search of autonomous unknown radioactive sources was realized according to a series of radiation information measured by mobile robot. First, the factors affecting the accuracy of radiation measurement during the robot’s ...
Source: Sensors - June 18, 2020 Category: Biotechnology Authors: Jianwen Huo Manlu Liu Konstantin A. Neusypin Haojie Liu Mingming Guo Yufeng Xiao Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6810: Smart Search System of Autonomous Flight UAVs for Disaster Rescue
Han UAVs (Unmanned Aerial Vehicles) have been developed and adopted for various fields including military, IT, agriculture, construction, and so on. In particular, UAVs are being heavily used in the field of disaster relief thanks to the fact that UAVs are becoming smaller and more intelligent. Search for a person in a disaster site can be difficult if the mobile communication network is not available, and if the person is in the GPS shadow area. Recently, the search for survivors using unmanned aerial vehicles has been studied, but there are several problems as the search is mainly using images taken with cameras (inc...
Source: Sensors - October 13, 2021 Category: Biotechnology Authors: Donggeun Oh Junghee Han Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1231: Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network
Chehdi Finding putative correspondences between a pair of images is an important prerequisite for image registration. In complex cases such as multimodal registration, a true match could be less plausible than a false match within a search zone. Under these conditions, it is important to detect all plausible matches. This could be achieved by an exhaustive search using a handcrafted similarity measure (SM, e.g., mutual information). It is promising to replace handcrafted SMs with deep learning ones that offer better performance. However, the latter are not designed for an exhaustive search of all matches but for findi...
Source: Sensors - February 6, 2022 Category: Biotechnology Authors: Mykhail Uss Benoit Vozel Vladimir Lukin Kacem Chehdi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7126: A Partial Ambiguity Resolution Algorithm Based on New-Breadth-First Lattice Search in High-Dimension Situations
Yuan With the development and integration of GNSS systems in the world, the positioning accuracy and reliability of GNSS navigation services are increasing in various fields. Because the current multisystem fusion leads to an increase in the ambiguity dimension and the ambiguity parameters have discrete characteristics, the current conventional search algorithm leads to low search efficiency when the ambiguity dimension is large. Therefore, this paper describes a new algorithm that searches the optimal lattice points by lattice theory through the breadth-first algorithm and reduces the search space of ambiguity by ...
Source: Sensors - September 20, 2022 Category: Biotechnology Authors: Wang You Sun Yuan Tags: Communication Source Type: research

Sensors, Vol. 22, Pages 8562: A Multi-AUV Maritime Target Search Method for Moving and Invisible Objects Based on Multi-Agent Deep Reinforcement Learning
This study focuses on target search by multiple autonomous underwater vehicles (AUV) and investigates a multi-agent target search method (MATSMI) for moving and invisible objects. In the MATSMI algorithm, based on the multi-agent deep deterministic policy gradient (MADDPG) method, we add spatial and temporal information to the reinforcement learning state and set up specialized rewards in conjunction with a maritime target search scenario. Additionally, we construct a simulation environment to simulate a multi-AUV search for the floating object. The simulation results show that the MATSMI method has about 20% higher search...
Source: Sensors - November 7, 2022 Category: Biotechnology Authors: Guangcheng Wang Fenglin Wei Yu Jiang Minghao Zhao Kai Wang Hong Qi Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2158: Hidden Policy Attribute-Based Data Sharing with Direct Revocation and Keyword Search in Cloud Computing
ei Yang Attribute-based encryption can be used to realize fine-grained data sharing in open networks. However, in practical applications, we have to address further challenging issues, such as attribute revocation and data search. How do data users search for the data they need in massive amounts of data? When users leave the system, they lose the right to decrypt the shared data. In this case, how do we ensure that revoked users cannot decrypt shared data? In this paper, we successfully address these issues by proposing a hidden policy attribute-based data sharing scheme with direct revocation and keyword search. In t...
Source: Sensors - July 4, 2018 Category: Biotechnology Authors: Axin Wu Dong Zheng Yinghui Zhang Menglei Yang Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3853: An Adaptive Prediction Target Search Algorithm for Multi-AUVs in an Unknown 3D Environment
n Zhang For a target search of autonomous underwater vehicles (AUVs) in a completely unknown three-dimensional (3D) underwater environment, a multi-AUV collaborative target search algorithm based on adaptive prediction is proposed in this paper. The environmental information sensed by the forward-looking sonar is used to judge the current state of view, and the AUV system uses this environmental information to perform the target search task. If there is no target in the field of view, the AUV system will judge whether all sub-regions of the current layer have been searched or not. The next sub-region for searching is d...
Source: Sensors - November 9, 2018 Category: Biotechnology Authors: Juan Li Jianxin Zhang Gengshi Zhang Bingjian Zhang Tags: Article Source Type: research

Sensors, Vol. 19, Pages 2760: Self-Calibration of Nonlinear Signal Model for Angular Position Sensors by Model-Based Automatic Search Algorithm
This study proposes a novel model-based automatic search algorithm to realize the self-calibration of nonlinear signal model for angular position sensors. In some high-precision angular position sensors, nonlinearity of the signal model is the main source of errors and cannot be handled effectively. By constructing a signal flow network framework and by embedding a modeling search network, the parameters of the nonlinear signal model can be searched, and the calibration signal can be obtained. The convergence of the network search process was analyzed. The relationship between the optimization threshold and the convergence...
Source: Sensors - June 18, 2019 Category: Biotechnology Authors: Gao Zhou Hou Li Wei Zhang Tags: Article Source Type: research

Sensors, Vol. 20, Pages 1606: A Distributed Strategy for Cooperative Autonomous Robots Using Pedestrian Behavior for Multi-Target Search in the Unknown Environment
hi Li Searching multiple targets with swarm robots is a realistic and significant problem. The goal is to search the targets in the minimum time while avoiding collisions with other robots. In this paper, inspired by pedestrian behavior, swarm robotic pedestrian behavior (SRPB) was proposed. It considered many realistic constraints in the multi-target search problem, including limited communication range, limited working time, unknown sources, unknown extrema, the arbitrary initial location of robots, non-oriented search, and no central coordination. The performance of different cooperative strategies was evaluated in ...
Source: Sensors - March 12, 2020 Category: Biotechnology Authors: Haiyun Shi Jie Li Zhi Li Tags: Article Source Type: research

Sensors, Vol. 20, Pages 1918: Edge and Cloud Collaborative Entity Recommendation Method towards the IoT Search
yuan Kang There are massive entities with strong denaturation of state in the physical world, and users have urgent needs for real-time and intelligent acquisition of entity information, thus recommendation technologies that can actively provide instant and precise entity state information come into being. Existing IoT data recommendation methods ignore the characteristics of IoT data and user search behavior; thus the recommendation performances are relatively limited. Considering the time-varying characteristics of the IoT entity state and the characteristics of user search behavior, an edge-cloud collaborative entit...
Source: Sensors - March 29, 2020 Category: Biotechnology Authors: Ruyan Wang Yuzhe Liu Puning Zhang Xuefang Li Xuyuan Kang Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5440: A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem
reras It is not uncommon for today’s problems to fall within the scope of the well-known class of NP-Hard problems. These problems generally do not have an analytical solution, and it is necessary to use meta-heuristics to solve them. The Job Shop Scheduling Problem (JSSP) is one of these problems, and for its solution, techniques based on Genetic Algorithm (GA) form the most common approach used in the literature. However, GAs are easily compromised by premature convergence and can be trapped in a local optima. To address these issues, researchers have been developing new methodologies based on local sea...
Source: Sensors - September 21, 2020 Category: Biotechnology Authors: Monique Simplicio Viana Orides Morandin Junior Rodrigo Colnago Contreras Tags: Article Source Type: research