An ontology language for ontology mediated query answering (OMQA-language) is universal for a family of OMQA-languages if it is the most expressive one among this family. In this paper, we focus on three families of t...
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Nowadays, the design of convolutional neural network (CNN) models is getting deeper and wider. When traditional CNN is used to process limited data of remote sensing images, it will lead to overfitting. We will use li...
Nowadays, the design of convolutional neural network (CNN) models is getting deeper and wider. When traditional CNN is used to process limited data of remote sensing images, it will lead to overfitting. We will use lightweight and efficient models to classify remote sensing images. In order to improve the classification accuracy and reduce the intermediate parameters, we improved GhostNet and proposed a smaller CNN named Improved GhostNet. Meanwhile, we use image enhancement methods to enlarge the datasets and dropout, it will reduce the amount of parameters. We experimented on three datasets, such as AID, UC Merced, NWPU-RESISC45. Then, we used MobileNetV3-Small and GhostNet to compare with our CNN model. The classification accuracy of improved GhostNet achieves more than 91%, and the accuracy on the AID is improved by 2.05% compared to the original GhostNet. These results demonstrate the effectiveness and efficiency of improved GhostNet.
V -order is a total order on strings that determines an instance of Unique Maximal Factorization Families (UMFFs) [7-10], a generalization of Lyndon words [12]. V -order has also recently been proposed as an alternati...
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This paper proposes a new approach to data analysis based on multi-learning method. The proposed method employs a combination of principal component analysis, K-means clustering, random forest, deep neural network and...
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With the development of industrial network, Industrial Wireless Sensor Networks (IWSNs) outperform traditional wired automation system in terms of flexibility, scalability, and efficiency, etc. And IWSNs have critical...
ISBN:
(纸本)9781538680988;9781538680971
With the development of industrial network, Industrial Wireless Sensor Networks (IWSNs) outperform traditional wired automation system in terms of flexibility, scalability, and efficiency, etc. And IWSNs have critical demands on reliable and real-time data transmission. To meet these demands and enhance efficiency, a SDN-based routing mechanism for IWSNs is proposed in this paper, to determine the global optimal routing strategy based on the cognition of real-time network status. Firstly, a topology discovery algorithm based on multi-controller collaboration is proposed to improve the efficiency of the SDN controllers' cognition of network status, and each controller in the network can perceive the global network status by synchronizing information. Then, combined with the cognition of controllers for network status, a link quality-aware routing algorithm (LQAR) is proposed, further the global optimal routing is calculated and distributed to the field devices. Additionally, a node failure response strategy and a controller failure response strategy are proposed to enhance the reliability of the network. The simulation results show that the proposed routing mechanism can guarantee real-time data transmission and significantly improve the reliability compared with the traditional industrial wireless network routing mechanisms.
The mobile delay tolerant network has some features results in transmit message is limited in one touch. In order to transmit more messages in one touch, network encoding technology is introduced. It effectively impro...
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The mobile delay tolerant network has some features results in transmit message is limited in one touch. In order to transmit more messages in one touch, network encoding technology is introduced. It effectively improves this problem. The mobile devices in the mobile delay tolerant network have the advantages of mobility, portability, but there are also problems, such as: limited energy, node sociality. When the energy of the node in the network is exhausted, it will affect the performance of the network. Therefore, the introduction of energy management strategies into the network coding routing strategy is of great significance to the performance improvement of the mobile delay tolerant network. In this paper, through the ONE to achieve the routing strategy proposed in this paper, and then compared with some existing routing strategy. Experimental results show that the routing strategy proposed in this paper can effectively improve the rate of message delivery, reduce delay, and reduce network overhead.
In order to better understand dynamical functions on amounts of natural and man-made complex systems, lots of researchers from a wide range of disciplines, covering statistic physics, mathematics, theoretical computer...
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Building resilient infrastructure and making cities and human settlements inclusive, safe, resilient and sustainable are the important elements making up the goals of the 2030 Agenda for Sustainable Development. Econo...
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Building resilient infrastructure and making cities and human settlements inclusive, safe, resilient and sustainable are the important elements making up the goals of the 2030 Agenda for Sustainable Development. Economic development and population growth have brought diverse needs of citizens for urban mobility resulting in various forms of urbanization including suburbanization, urban sprawl, and local or cross-border city clusters, and this has generated greater citizens’ demands for quality, resilient, safe and secure infrastructure services. As infrastructures of different cities within a cluster are highly interdependent and interconnected, any minor disruptions of a single infrastructure component within a city could lead to unpredictable knock-on effects on its neighbors. Despite great research efforts being attributed to community and city resilience, there are limited studies focusing on regional infrastructure resilience within the city clusters, in particular those cross-border city clusters like the Pearl River Delta city cluster of China. This paper aims to investigate the necessities and challenges of strengthening regional infrastructure resilience within the city clusters by applying and extending an integrated framework for resilience management of internetwork city infrastructures developed by the authors. The necessities, gaps and challenges will be explored from multiple perspectives not least the organizational structure, people, policy, management process, technology and supporting system, as well as the decision-making and performance management perspectives. Two typical city clusters in China are selected for case studies. Programs and practices of the cities within the two clusters pertinent to sustainable development, climate change, urban planning, built environment management and hazard management are critically examined and analyzed to produce a panoramic view on the necessities and challenges. The findings of this research shall invoke
Model-based diagnosis(MBD) has been widely acknowledged as an effective diagnosis ***, for large scale circuits, it is difficult to find all cardinality-minimal diagnoses within a reasonable time. This paper proposes ...
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Model-based diagnosis(MBD) has been widely acknowledged as an effective diagnosis ***, for large scale circuits, it is difficult to find all cardinality-minimal diagnoses within a reasonable time. This paper proposes a novel method that takes a significant step in this direction. The idea is to divide a circuit into zones and compute the cardinality-minimal diagnoses by finding subset-minimal diagnoses with cardinality-minimal via a maximum satisfiability(MaxSAT) solver on an abstracted circuit that is composed of these zones instead of all components. We also propose a new propagate-extend method for extending the seed-TLDs to obtain all cardinality-minimal diagnoses efficiently. We implement our method with a state-of-the-art core-guided MaxSAT solver, and present evidence that it significantly improves the diagnosis efficiency on ISCAS-85 circuits. Our method outperforms SATbD, which was recently shown to outperform most complete MBD approaches using satisfiability(SAT).
In this paper, we present a new reference dataset simulating digital evidence for image steganography. Steganography detection is a digital image forensic topic that is relatively unknown in practical forensics, altho...
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