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   

The zone of proximal creativity: What dynamic assessment of divergent thinking reveals about students’ latent class membership     

《Contemporary educational psychology》2021

Divergent Thinking is a domain-general mental attribute closely associated with creativity that can be quantified through the use of text-mining algorithms. Past research has shown that students’ Divergent Thinking is malleable in response to relatively simple contextual prompts. In addition, there is substantial variance in the degree to which individual students’ Divergent Thinking is malleable, suggesting the presence of a student-specific zone-of-proximal-development in relation to creativity. Here, we adopted a dynamic assessment paradigm that included multiple conditions under which student Divergent Thinking was measured and fit a latent profile analysis model to that dynamic assessment data. We found that, although on average the Originality of student responses can be augmented through a prompt to generate surprising or unusual ideas, three latent classes emerged that differed significantly on their patterns of augmentation. These three latent classes were termed: (a) Conventional Thinkers (7.80% of the sample), whose response to the Divergent Thinking task were highly constrained and unoriginal across all conditions (b) Prompted Shifters (66.56%), whose Originality significantly increased across conditions, and (c) Idea Generators (25.64%), whose responses were highly original across all conditions. These latent profiles were validated in regard to personality characteristics and domain-specific creative activities, with Idea Generators reporting significantly more Openness and Intellect, less Industriousness, and more creative activities across the domains of Literature, Music, Sports, Visual Art, Science, and Cooking than did the other latent classes.  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   

可宥性事由：体育竞赛“越轨”行为出罪的又一考量因素     

刘峰江 《河北体育学院学报》2020,34(6):9-16

可宥性事由源于英美刑事诉讼中的可抗辩事由，与正当化事由联袂构成行为出罪理论的基石。与正当化事由不同，可宥性事由已经僭越了法定的行为正当化条件，行为的违法性首先被肯定，只是在责任归属上寻求宽恕性处理。引入可宥性事由，可丰富体育竞赛行为入罪和出罪的相关内容，便于司法统一判定。分析认为，体育竞赛行为可宥性事由成立，要满足体育赛事本身具有合法性和正规性、主体仅针对运动员、行为局限于体育竞赛行为、违法目的“单纯”性、行为以“反规则”为前提等条件。入罪和出罪的类型化有利于定罪和量刑的规范化，分别对竞技伤害行为、滥用兴奋剂行为、假球等竞赛舞弊行为适用可宥性事由予以出罪抑或减轻处罚的情形进行具体分析。最后，指出体育竞赛运动员可宥性事由行为入罪不能忽视运动员自由保障的理念，且尽量避免选择性刑事司法。  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   

日本足球归化运动员的历史演进、运作逻辑与实践启示     

张大为  田胜国  刘兵 《沈阳体育学院学报》2020,(3):80-86,106

从历史演进视角对日本足球归化运动员进行研究,将归化演进历程分为业余足球主导期、职业足球改革探索期、职业足球稳定发展期3个阶段。归化运作逻辑体现:以技术足球理念为基准,合理实施归化行为;以填补位置短板为目的,提高国家队竞技水平;以保障职业角色转换为举措,营造良性发展氛围;以规避资源挤占矛盾为导向,逐步改变归化价值取向。启示:我国应厘清主体责任和发展理念,做好归化顶层设计;正视国家归化需求,消解文化融合与社会认同障碍;建立长效服务机制,扩大归化行为示范效应;把握足球运动规律,构建可持续发展模式。  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   

特质情绪智力对大学生射箭后即刻心率变异性的影响     

闫笑  王霆 《体育科技文献通报》2020,(4):34-35,61

本研究旨在探讨特质情绪智力与大学生射箭后即刻心率变异性(HRV)恢复反应的关联性。样本包括34名年龄在18至22岁之间的射箭初学者。第一,这些受试者要完成特质情绪智力量表。第二,他们在四分钟内从18米处向直径为80cm的靶子射出10支箭。第三,在4分钟的恢复期内测量受试者的心率变异性恢复的反应。在本研究中,心率变异性指标采用低频(LF)、高频(HF)和LF/HF比值。结果表明,情绪智力和心率变异性恢复反应之间有显著关系。包含情绪智力子维度的回归模型能够解释HRV频域参数的显著差异。此外,高情绪智力大学生的低频和高频功率高于低情绪智力的大学生,但LF/HF数值低于低情绪智力射箭运动员。综上所述,本研究观察到的结果表明,在严格的射箭训练之后,情绪智力可能会产生更多适应性的HRV恢复反应。  相似文献   

Using an interactive platform to recognize the intersection of social and spatial inequalities     

Lisa Poling  Travis Weiland 《Teaching Statistics》2020,42(3):108-116

With the creation of interactive tasks that allow students to explore spatial ways of knowing in conjunction with their other ways of knowing the world, we create a space where students can make sense of information as they organize these new ideas into their already existing schema. Through the use of a Common Online Data Analysis Platform (CODAP) and data from Public Use Microdata Areas (PUMA), students can explore the communities in which they live and work, critically examining opportunities and challenges within a defined space.  相似文献