203 research outputs found

    The Application and Research of navigation-aids inspection and maintenance based on video surveillance

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    AbstractTo realize automatic management of navigation-aids, this paper presented an idea of navigation-aids inspection using video surveillance technology. It was aimed at solving problems of navigation-aids inspection and maintenance mode. It analyzed the current status of navigation-aids inspection and maintenance in areas, and researched the development and application of video surveillance technology. The results indicated that navigation-aids inspection and maintenance with video surveillance can better improve work efficiency, save costs and protect the quality of navigation-aids service

    Using big data to make better decisions in the digital economy

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    The question this special issue would like to address is how to harvest big data to help decision-makers to deliver better fact-based decisions aimed at improving performance or to create better strategy? This special issue focuses on the big data applications in supporting operations decisions, including advanced research on decision models and tools for the digital economy. Responds to this special issue was great and we have included many high-quality papers. We are pleased to present 13 of the best papers. The techniques presented include data mining, simulation and expert system with applications span across online reviews, food retail chain to e-health

    Thermodynamic Calculation of CO 2 Sequestration by Waste Slag from Steelmaking Plant

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    Abstract: Mineral carbonation is an effective way to store CO 2 . CO 2 fixation by steel slag carbonation is of great significance on CO 2 emissions and solid waste disposal in metallurgical plants. In this paper, the thermodynamics of CO 2 storage with ten major calcium and magnesium containing phases in steelmaking slag, such as C 2 S and C 3 S, by the dry and wet process were calculated. The results show that the direct dry carbonation reactions with steelmaking slag are exothermic in the temperature ranges of 273 K-1073 K. At atmospheric temperature and pressure, all the carbonate reactions by calcium and magnesium containing phases in the steelmaking slag, can be spontaneous. In addition, the direct hydro-carbonation reaction with the leaching agent of water is endothermic in the temperature ranges of 273 K-573 K. The carbonation reactions also occur spontaneously at atmospheric pressure. The indirect hydro-carbonation reaction with steelmaking slag using acetic acid as leaching agent are spontaneous, and the reaction is very complete when the reaction temperature is below 350 K. Keywords: steelmaking slag; carbonation; CO 2 ; thermodynamics E-mail address: [email protected]

    MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning

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    Recently, Meta-Black-Box Optimization with Reinforcement Learning (MetaBBO-RL) has showcased the power of leveraging RL at the meta-level to mitigate manual fine-tuning of low-level black-box optimizers. However, this field is hindered by the lack of a unified benchmark. To fill this gap, we introduce MetaBox, the first benchmark platform expressly tailored for developing and evaluating MetaBBO-RL methods. MetaBox offers a flexible algorithmic template that allows users to effortlessly implement their unique designs within the platform. Moreover, it provides a broad spectrum of over 300 problem instances, collected from synthetic to realistic scenarios, and an extensive library of 19 baseline methods, including both traditional black-box optimizers and recent MetaBBO-RL methods. Besides, MetaBox introduces three standardized performance metrics, enabling a more thorough assessment of the methods. In a bid to illustrate the utility of MetaBox for facilitating rigorous evaluation and in-depth analysis, we carry out a wide-ranging benchmarking study on existing MetaBBO-RL methods. Our MetaBox is open-source and accessible at: https://github.com/GMC-DRL/MetaBox.Comment: Accepted at NuerIPS 202

    A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services

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    With the rapid pervasion of location-based services (LBSs), protection of location privacy has become a significant concern. In most continuous LBSs' privacy-preserving solutions, users need to transmit the location query data to an untrusted location service provider (LSP) to obtain query results, and the users discard these results immediately after using them. This results in an ineffective use of these results by future queries and in turn leads to a higher risk to user privacy from the LSP. To address these issues, we generally use caching to cache the query results for users' future queries. However, the minimization of the interaction between users and LSPs is a challenge. In this paper, we propose an enhanced user privacy scheme through caching and spatial K-anonymity (CSKA) in continuous LBSs; it adopts multi-level caching to reduce the risk of exposure of users' information to untrusted LSPs. In continuous LBS queries, our scheme first utilizes the Markov model to predict the next query location according to the user mobility. Then, according to the predicted location, cell's cache contribution rate, and data freshness, an algorithm for forming spatial K-anonymity is designed to improve the user's cache hit rate and enhance the user location privacy. The security analysis and simulation results demonstrate that our proposed CSKA scheme can provide higher privacy protection than a few previous methods, and it can minimize the overhead of the LBS server

    Apoptotic capacity and risk of squamous cell carcinoma of the head and neck

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    Tobacco smoke and alcohol drinking are the major risk factors for squamous cell carcinoma of the head and neck (SCCHN). Smoking and drinking cause DNA damage leading to apoptosis, and insufficient apoptotic capacity may favor development of cancer because of the dysfunction of removing damaged cells. In the present study, we investigated the association between camptothecin (CPT)-induced apoptotic capacity and risk of SCCHN in a North American population
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