Artificial intelligence implication on energy sustainability in Internet of Things: A survey     

《Information processing & management》2023,60(2):103212

The massive number of Internet of Things (IoT) devices connected to the Internet is continuously increasing. The operations of these devices rely on consuming huge amounts of energy. Power limitation is a major issue hindering the operation of IoT applications and services. To improve operational visibility, Low-power devices which constitute IoT networks, drive the need for sustainable sources of energy to carry out their tasks for a prolonged period of time. Moreover, the means to ensure energy sustainability and QoS must consider the stochastic nature of the energy supplies and dynamic IoT environments. Artificial Intelligence (AI) enhanced protocols and algorithms are capable of predicting and forecasting demand as well as providing leverage at different stages of energy use to supply. AI will improve the efficiency of energy infrastructure and decrease waste in distributed energy systems, ensuring their long-term viability. In this paper, we conduct a survey to explore enhanced AI-based solutions to achieve energy sustainability in IoT applications. AI is relevant through the integration of various Machine Learning (ML) and Swarm Intelligence (SI) techniques in the design of existing protocols. ML mechanisms used in the literature include variously supervised and unsupervised learning methods as well as reinforcement learning (RL) solutions. The survey constitutes a complete guideline for readers who wish to get acquainted with recent development and research advances in AI-based energy sustainability in IoT Networks. The survey also explores the different open issues and challenges.  相似文献   

Recording the war effort: immigrant communities in Latin America and the memory of the Great War     

María Inés Tato 《档案与原稿》2020,48(2):200-215

ABSTRACT

This paper aims to analyse the initiatives undertaken by some immigrant communities residing in Latin America to record their mobilisation around the First World War. After the armistice, European communities in Argentina, Bolivia, Brazil, Chile, Mexico, Paraguay, Peru, Uruguay and other countries gathered detailed information about their activities during the conflict, published as profusely illustrated books of remembrance, offered to their governments as proof of their loyalty. The article intends to establish the peculiar nature of these publications as records of the war effort, and analyse the agents and processes of their elaboration, and their role as commemorative but also as archival documents.  相似文献   

高校图书馆中华传统文化立体阅读推广探究——以北京师范大学图书馆“二十四节气”阅读推广为例     

孙媛媛  张玲  于静  张珅 《图书情报工作》2020,64(9):57-64

[目的/意义] 以北京师范大学图书馆"二十四节气"传统文化立体阅读推广为例，探讨基于中华传统文化的高校图书馆立体阅读推广模式。[方法/过程] 论述高校图书馆开展中华传统文化阅读推广的意义及采用立体阅读模式的必要性，从活动准备、活动内容和特点、活动效果评价三方面阐述北京师范大学图书馆"二十四节气"传统文化阅读推广工作。[结果/结论] 提出高校图书馆以立体阅读模式开展中华传统文化阅读推广的策略。  相似文献   

中国式摔跤“竞技运动教材化”在大学教学中的思考研究     

李凯韬 《当代体育科技》2020,(12):130-131

本文主要通过文献资料法、逻辑分析法等方法对我国中国式摔跤"竞技运动教材化"的发展现状及该运动发展中存在的问题进行研究分析。研究表明:中国式摔跤"竞技运动教材化"具有无限可能,可以通过提炼专项运动的核心元素,并着重排除过度专业化的素材,使课程保留中国式摔跤运动的半专业性,使大众了解这项运动的价值,并鼓励更多的人参加这项运动。  相似文献   

【新水令】曲牌风格流变探析     

王方好  阎方正 《保定学院学报》2020,(1):85-91

曲牌【新水令】由同名词牌演化而来,最初被运用在南戏《张协状元》之中,用于表达慷慨激越的感情风格。该曲牌具有较强的灵活性,从元代到清代,其题材不断被拓宽,感情色彩也不断发生变化,不再局限于慷慨激越的声情风格,表达的情感也更为丰富。分析梳理【新水令】这一曲牌在元明清三代的风格变化,可以对其有更为深入的了解,亦有助于对于曲史样式的研究。  相似文献   

审美视域下中国艺术人格的精神建构     

张嫣格 《美育学刊》2020,11(1):107-111

在新的文化语境下,作家、艺术家以中国艺术精神为参照系,在文艺创作中探索中国艺术人格的精神建构。在中西文化的对峙中,中国艺术人格立足于传统文人精神,着眼于和谐社会,强调主体审美自觉,追求人格的价值尺度,使中国人格美学思想既具有现实关怀又充满人文精神。  相似文献   

大数据视域下的档案安全管理体系构建及可引入技术分析     

孙宁 《档案管理》2020,(3):12-13

在大数据视域下,以档案管理理论和信息系统安全理论为基础,参考国家相关法规及标准,结合档案管理工作实务,研究当下档案管理工作中的风险,在此基础上初步构建起档案安全管理体系,并对可引入该体系的实用技术进行分析。  相似文献   

红袖不止添香——女性在浙江私家藏书史上的作用探析     

单骅 《山东图书馆季刊》2020,(2):92-95,106

在浙江私家藏书史上,有关女性藏书的记载不多。但在男性藏书家一统天下的背后,却有不少优秀的女性。本文旨在对这些优秀的女性进行收集和梳理,并对她们在这段辉煌历史中所发挥的作用,进行较深入地分析与探讨。  相似文献   

Remaining in Control with an Illusion of Interactivity: The Paternalistic Side of Data Journalism*     

Ester Appelgren 《Journalism Practice》2019,13(8):956-960

  相似文献   

RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification     

《Information processing & management》2023,60(2):103235

Imbalanced sample distribution is usually the main reason for the performance degradation of machine learning algorithms. Based on this, this study proposes a hybrid framework (RGAN-EL) combining generative adversarial networks and ensemble learning method to improve the classification performance of imbalanced data. Firstly, we propose a training sample selection strategy based on roulette wheel selection method to make GAN pay more attention to the class overlapping area when fitting the sample distribution. Secondly, we design two kinds of generator training loss, and propose a noise sample filtering method to improve the quality of generated samples. Then, minority class samples are oversampled using the improved RGAN to obtain a balanced training sample set. Finally, combined with the ensemble learning strategy, the final training and prediction are carried out. We conducted experiments on 41 real imbalanced data sets using two evaluation indexes: F1-score and AUC. Specifically, we compare RGAN-EL with six typical ensemble learning; RGAN is compared with three typical GAN models. The experimental results show that RGAN-EL is significantly better than the other six ensemble learning methods, and RGAN is greatly improved compared with three classical GAN models.  相似文献