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   

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   

云平台驱动的应急决策情报工程架构研究     

储节旺  汪敏  郭春侠 《图书情报工作》2019,63(16):5-13

[目的/意义]将情报工程思维融入云平台驱动的应急决策，旨在使应急决策更具效率性、科学性。[方法/过程]分析应急决策需求特性，在工程价值模型和情报系统基础上引入情报工程思维，即"事实数据"+"方法工具"+"专家智慧"3个要素，进而构建云平台驱动的应急决策情报工程架构。[结果/结论]云平台驱动的应急决策情报工程架构根据函数效应，从需求层（聚合需求，甄选信息）、工作层（挖掘情报，提升价值）、运行层（整合知识，集成智慧）以及服务层（快速响应，精准服务）4方面构建，使应急决策情报工程化及平行化，为应急决策在实际应用中提供一定思路。  相似文献   

The effect of athletic expertise and trait emotional intelligence on decision-making     

Robert Vaughan  Sylvain Laborde  Christopher McConville 《European Journal of Sport Science》2019,19(2):225-233

The quality of decision and assessment of risk are key determinants of successful sport performance. Athletes differ fundamentally in their decision-making ability according to their athletic expertise level. Moreover, given the influence of emotions on decision-making, it is likely that a trait reflecting emotional functioning, trait emotional intelligence, may also influence decision-making. Therefore, the aim of this research was to investigate the respective contribution of athletic expertise and trait emotional intelligence to non-athletic decision-making. In total, 269 participants aged between 18 and 26 years with a range of athletic experience i.e. none (n?=?71), novice (n?=?54), amateur (n?=?55), elite (n?=?45) and super-elite (n?=?44), completed the Emotional Intelligence Scale and the Cambridge Gambling Task. Regression modelling indicated a significant positive relationship of athletic expertise and trait emotional intelligence with the quality of decision-making, and a negative relationship with deliberation time and risk-taking. Cognitive skills transfer may explain the higher decision-making scores associated with higher athletic expertise, while individuals with higher trait emotional intelligence may anticipate better the emotional consequences linked with a gambling task, which may help individuals make better decisions and take less risks.  相似文献   

Applying artificial intelligence technique to predict knowledge hiding behavior     

《International Journal of Information Management》2019

Drawing on psychological ownership and social exchange theories, this study suggests theoretical arguments and empirical evidence for understanding employee reactions to distributive, procedural, and interactional (in)justice — three crucial bases of employees’ feelings of social self-worth. Utilizing field data and artificial intelligence technique, this paper reveals that distributive, procedural, and interactional (in)justice contribute to higher levels of knowledge hiding behavior among employees and that this impact is non-linear (asymmetric). By reuniting the discourses of organizational justice and knowledge management, this study indicates that feelings of psychological ownership of knowledge and the degree of social interaction are mechanisms that work with organizational (in)justice to influence knowledge hiding behavior. The current research may inform contemporary theories of business research and provide normative guidance for managers.  相似文献   

安全情报概念的由来、演进趋势及涵义——来自安全科学学理角度的思辨     

王秉  吴超 《图书情报工作》2019,63(3):45-53

[目的/意义]安全问题是当前国家、政府、企业、社会、大众及学界广泛关注的一个重要现实问题，而安全情报是保障安全的必用之宝，故安全情报研究具有十分重要的理论与现实意义。[方法/过程]运用文献分析法和思辨法，从安全科学学理角度出发，论证基于安全科学视角解读与界定安全情报概念的必要性、重要性与紧迫性，探讨安全情报概念的由来与演进趋势，并分析安全情报的涵义。[结果/结论]从安全科学学理角度看，从安全信息到安全情报的安全管理新认识是提出安全情报概念的根本动力，安全情报概念的总体演进趋势是从分散到统一。同时，从系统安全学角度看，安全情报是指所有影响系统安全行为的安全信息。  相似文献   

Setting the future of digital and social media marketing research: Perspectives and research propositions     

《International Journal of Information Management》2021

The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts’ perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.  相似文献   

Business Intelligence Capabilities and Firm Performance: A Study in China     

《International Journal of Information Management》2021

The development of artificial intelligence (AI) technology expands the boundary of business practice, inducing the emergence and application of business intelligence (BI) that has promoted the transformation of information techniques to optimize business decision and operation. However, there is a lack of theoretical consensus and measurement of the technology embedded in BI at present. This study exploratively develops the Sense-Transform-Drive (STD) conceptual model of BI based on dynamic capabilities theory and organizational evolutionary theory to explain the core BI capabilities. By using factoring analysis and structural equation modeling analysis, we extract the latent constructs and empirically verify the validity of the STD model and further examine the correlation and mode of interaction of the three core BI capabilities and the impact of BI application on firm performance in the real economy with a sample contextual to Chinese business practices. The study results show that there are direct and high-intensity cumulative positive effects among the structural components of the STD conceptual model and BI-related dynamic capabilities can enhance operating efficiency and firm performance.  相似文献   

人工智能时代情报学发展走向之辨——对本体论、感知论、方法论、服务论的再思考     

曹文振  赖纪瑶  王延飞 《情报学报》2020,39(5):557-564

人工智能相关技术的迅猛发展和逐步普及,使得情报学难以避免人工智能的融合趋势,无论这种融合是主动为之或是被动选择。然而学界对人工智能时代情报学学科的发展走向并未予以充分探讨,大部分研究均将焦点置于大数据与下一代互联网环境中进行论述。本研究将人工智能时代情报学学科走向解构为"本体论""感知论""方法论""服务论"四个论题,对每个论题借由理论面向与实践面向的二分法展开阐释,并从整体视角上提出应在人工智能洪流中找准情报学定位,不能忽视"人"在情报学中的价值以及重视跨学科融合、跨领域应用的发展趋势。  相似文献   

从传递信息到营造体验:体育传播产品转型初探——基于传播游戏理论的考察     

付晓静  潘陈青  罗幽诗 《武汉体育学院学报》2020,54(2):11-17

传播游戏理论强调传播作为一种主观性游戏的存在，体育传播与此具有天然的契合点。该文在界定体育传播产品内涵、分析传播游戏理论观点的基础上，提出体育传播产品要从传递信息走向营造体验，要开发体育视频资源，利用VR技术增强赛事体验，借助机器人提升体育信息传播速度，采用数据可视化增强体育传播的趣味性与观赏性。  相似文献