基于信令的用户感知问题诊断系统研发及应用

针对当前运营商对终端与网络协同发展的关注,提出了基于信令的用户感知问题诊断系统。该系统聚焦于终端信令的采集、统计和分析,问题定位和解决措施。应用场景显示该系统对网络与终端协同发展提供信令级支撑工具,为提升网络质量和客户感知提供可行的技术手段,该系统和思路可扩展应用于长期演进(LTE)网络的用户感知问题诊断。     

基于信令的用户感知问题诊断系统研发及应用

针对当前运营商对终端与网络协同发展的关注,提出了基于信令的用户感知问题诊断系统。该系统聚焦于终端信令的采集、统计和分析,给出问题定位和解决措施。应用场景显示该系统对网络与终端协同发展提供信令级支撑工具,为提升网络质量和客户感知提供可行的技术手段,经二次开发后该系统和思路可扩展应用于长期演进(LTE)网络的用户感知问题诊断。     

针对知觉理论的环境心理学教学改革

针对环境心理学中多项知觉理论的整合需求,解析其中3种主要学说的基本思路和相互关系,提出课堂讲授的优化方案。同时,对教学改革相关工作的要点及难点作出分析,并着眼于环境心理学的概念,展望学科建设的方向和可能性。     

广东联通WLAN无感知认证应用部署探讨

通过分析目前广东联通WLAN的认证现状和WLAN无感知应用在其他运营商的部署现状,结合当前主流WLAN无感知技术,提出了针对广东联通的WLAN认证平台解决方案,对其他运营商WLAN平台的认证建设和部署具有一定的指导意义。     

面向5G网络的MEC部署方案

多接入边缘计算技术通过将计算存储能力与业务服务能力向网络边缘迁移,使应用、服务和内容可以实现本地化、近距离、分布式部署,从而在一定程度上解决了5G增强移动宽带、低时延高可靠以及大规模机器通信类终端连接等场景的业务需求.本文在分析MEC技术在LTE网络中的应用方案以及对于5G网络的价值与意义的基础上,给出了5G MEC部...     

Cyberbullying: Effect of emergency perception on the helping tendencies of bystanders

The effect of the emergency perception of bystanders of cyberbullying victims on helping behaviors is often neglected in research on cyberbullying. In this study, we explored the influence of this cognitive factor on cyber-bystanders’ helping tendencies as well as elucidated possible underlying processes. The results of two studies were reported. In Study 1, 150 undergraduates read a true case of a girl experiencing cyberbullying. The results indicated that when the participants perceived the victim’s situation to be more critical (i.e., higher emergency perception), their helping tendencies were stronger, partly through increased state empathy followed by feelings of responsibility to help. In Study 2, we randomly assigned 300 undergraduates to two groups. The low emergency group read the same cyberbullying case as Study 1, whereas the cyberbullying case read by the high emergency group contained additional emergency information of the victim. The results indicated that the high emergency group expressed stronger helping tendencies than did the low emergency group. This effect was caused by a stronger perception that the victim was in an emergency situation, which not only strengthened the participants’ helping tendencies directly but also indirectly through increasing their state empathy and feelings of responsibility to help.     

Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney,Melbourne and Brisbane

In recent years, artificial intelligence (AI) is being increasingly utilised in disaster management activities. The public is engaged with AI in various ways in these activities. For instance, crowdsourcing applications developed for disaster management to handle the tasks of collecting data through social media platforms, and increasing disaster awareness through serious gaming applications. Nonetheless, there are limited empirical investigations and understanding on public perceptions concerning AI for disaster management. Bridging this knowledge gap is the justification for this paper. The methodological approach adopted involved: Initially, collecting data through an online survey from residents (n = 605) of three major Australian cities; Then, analysis of the data using statistical modelling. The analysis results revealed that: (a) Younger generations have a greater appreciation of opportunities created by AI-driven applications for disaster management; (b) People with tertiary education have a greater understanding of the benefits of AI in managing the pre- and post-disaster phases, and; (c) Public sector administrative and safety workers, who play a vital role in managing disasters, place a greater value on the contributions by AI in disaster management. The study advocates relevant authorities to consider public perceptions in their efforts in integrating AI in disaster management.     

Toward prediction of surface tension of branched n-alkanes using ANN technique

This study features the application of artificial neural network for prediction of surface tension of branched alkanes. Surface and interfacial tensions of alkanes show a specific interaction between adjacent molecules of the higher n-alkanes which results in an anisotropic dispersion force component of the surface energy. The surface tension of branched alkanes was studied for temperatures between 283.15 and 448.15 K. Two intelligent models named multilayer perceptron model (MLP) and radial basis function (RBF) model were developed and the accuracy of two models was examined by different graphical and statistical methods. Results showed that the both models are accurate and effective in prediction of surface tension of branched alkanes. However, the results were compared with experimental data and it was found that the estimated surface tension by multi-layer perceptron neural network is more accurate than radial basis function network.     

地面无人作战平台环境感知关键技术研究

介绍了国内外地面无人作战平台环境感知技术的发展现状,在分析环境感知的立体视觉信息处理技术、主动型传感器信息处理技术、平台自主定位技术、多传感器信息集成与数据融合技术、障碍物检测技术等关键技术的基础上,探讨研制地面无人平台环境感知系统的方案设计．     

The paradox of technology innovativeness and risk perceptions – A profile of Asian smartphone users

Risk perceptions and technology innovativeness are the two primary factors related to the adoption of mobile technologies. The current study examines the role of technology innovativeness and risk perceptions on smartphone use and dependence in an Asian context. A total of 9086 participants were recruited through online surveys from ten Asian countries. Ordinary least squares regression analyses revealed the effects of technology innovativeness, information security, privacy concern, and their interactions on smartphone use and dependence. Moreover, based on users’ smartphone usage patterns and perceptions, this paper identified four homogeneous groups using cluster analysis. Results shows that Asian smartphone users can be segmented into four groups: innovators, conservatives, moderators, and laggards. The four clusters show significant differences in demographic features. Theoretical and practical implications are discussed based on these findings.