With the rapid development of science and technology, the use and dependence of computers in all walks of life is increasing. Human beings have entered the era of "Internet +". In order to better meet the ch...
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ISBN:
(纸本)9783030152352;9783030152345
With the rapid development of science and technology, the use and dependence of computers in all walks of life is increasing. Human beings have entered the era of "Internet +". In order to better meet the challenges brought by the current social development, enterprise management must recognize the importance of cloud data extraction technology in management, so as to continuously innovate the management model. This paper expounds the concept of cloud data extraction technology, the application and innovation of cloud data extraction technology by human resources management, the challenges faced by human resources management of enterprises in the era of cloud data extraction technology and the strategies of human resources management reform.
In urban rail transit systems, the intelligent driving system is gradually replacing manual driving for its high safety, punctuality, and stopping accuracy. With the development of big dataanalytics, the data-driven ...
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ISBN:
(纸本)9781728141497
In urban rail transit systems, the intelligent driving system is gradually replacing manual driving for its high safety, punctuality, and stopping accuracy. With the development of big dataanalytics, the data-driven intelligent driving system becomes a research focus. Traditional data-driven intelligent driving systems suffer from inadequate data. Due to lacking effective incentives and trust, data from different urban rail operators cannot be shared directly. In this paper, we propose a framework that uses blockchain technology to realize sharing and collaborative training of intelligent driving models between operators. In this framework, we use blockchain-based distributed federated reinforcement learning methods to complete intelligent driving calculations. We use smart contracts to implement the management of the entire federal reinforcement learning. Operators use local historical data to participate in intelligent driving training based on Q-network by exchanging encrypted model parameters, and optimize the safety distance, energy consumption, and punctuality of urban rail transit systems. Simulation results show that our proposed distributed federated reinforcement learning method can significantly improve the intelligent driving system performance.
The imitation cheese is the product with the cheese characteristics which can meet the specific requirements by using the non-milk-derived protein and fat or the full substitution of the milk protein and the milk fat....
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ISBN:
(纸本)9783030152352;9783030152345
The imitation cheese is the product with the cheese characteristics which can meet the specific requirements by using the non-milk-derived protein and fat or the full substitution of the milk protein and the milk fat. This paper introduces the production principles, processes and key control points of the imitation cheese with the soybean as main raw material, summarizes the researches and development of the soybean imitation cheese in recent years, and forecasts the market prospect of the soybean imitation cheese in China.
Influenza is significant promising and re-emerging contagious disease, causing high morbidity and mortality throughout the world. Influenza also called swine flu, hoard flu, pig flu. The primary task of healthcare pro...
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Artificial Intelligence (AI) is usually associated with assisting humans with tasks that are either ordinary or can be done better with automation. Since then technology grew, representation of AI and Robotics also ev...
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Passenger organization has always been an essential part of China's metro operation and management. Facing the massive passenger flow, stations need to improve their intelligence and automation degree by an approp...
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Digital identity plays the main role in the digital world. Thus, many researchers emphasize the determination of the accurate identity of users. This paper proposes the blockchain-based digital identity management sys...
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This study identifies a novel source of data, i.e. images from smart urban infrastructures, that would be helpful in effective disaster management decision-making. For this purpose, we collected images from disaster-h...
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ISBN:
(纸本)9781450377515
This study identifies a novel source of data, i.e. images from smart urban infrastructures, that would be helpful in effective disaster management decision-making. For this purpose, we collected images from disaster-hit environments of Central Mexico (2017 earthquake). Also, this study utilizes deep learning convolutional neural network to analyze this novel dataset and evaluates the model effectiveness and technical viability during crisis scenarios. TensorFlow was utilized for the image classification task. The findings have important significance for effective disaster response.
In a block channel IoT system, sensitive details can be leaked by means of the proof of work or address check, as data or application Validation data is applied on the blockchain. In this, the zero-knowledge evidence ...
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There are many possibilities for a smart city that is enabled with smart buildings and well provisioned and managed internet of things (IoT) frameworks. The benefits of such frameworks can be felt in multiple domains....
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