Is job performance conditioned by work-from-home demands and resources?

Substantial research has been dedicated to describing remote work, yet the understanding of working from home since the Covid-19 pandemic remains rather limited. While recognising the necessity for exploring employees' perceptions and interaction with technology as the ultimate requirement for a functional work-from-home, this study observes the factors that would determine job performance. Thus, adhering to the Job Demands-Resources theory, we argue that employees' ICT (Information and Communication Technologies) anxiety and smartphone addiction can inhibit their work progress by provoking interruptions in the course and reducing the efficacy, further affecting performance. PLS-SEM (Partial Least Squares - Structural Equation Modelling) was employed to analyse the data collected by 363 employees working from home due to Covid-19 restrictive measures. The results reveal that employees’ reluctance and apprehensiveness related to the use of ICT and their dependency on smartphone usage act as distractions that impact the efficient achievement of work goals. The ensued findings valuably contribute to the relevant body of knowledge, while the implications offer helpful strategies for improving work-from-home. Finally, companies must simplify the transition to the home office, providing employees with job management and tools to ensure uninterrupted and productive working processes.     

Petahertz communication: Harmonizing optical spectra for wireless communications

With the rapid deployment of Next-Generation Networks (NGN), the research community has initiated discussions on an entirely new suite of optical enabling techniques. To pave the way for the development of future wireless networks, this article aims to unify the existing infrared, visible light, and ultraviolet subbands while also exploring the potential of the Petahertz (PHz) band to support extremely bandwidth-thirsty telepresence style applications. Our focus is on the emerging Petahertz Communication (PetaCom) framework, scenario-dependent propagation channels, modulation schemes, system performance, multiple access techniques, and networking. We conclude with a range of PetaCom challenges and open research issues.     

基于5G边缘云的港口统一通信方案研究与实践

5G边缘云具有分布式、灵活组网、快速部署和本地流量分流等优势，在港口等垂直工业领域有很广泛的应用前景，同时对实现港口统一通信也提出了一定的要求。在研究基于5G边缘云的港口统一通信架构的基础上，提出了针对港口现场全域各类要素实现全面感知、支撑自动化业务改造的5G边缘云功能框架。此功能框架能很好地适用于港口场景的有线无线网络融合的统一承载，可作为目前复杂环境下的港口网络统一通信的网络基础设施。最后在某港口码头上对该方案进行了实际验证。     

冰下单载波水声通信试验研究

北极地区战略地位的提高促进了极区各种应用的快速发展，冰下水声通信成为其中一个热点问题。为了研究冰下单载波水声通信性能，在黄海冰区开展冰下试验。重点分析了内嵌锁相环的多通道判决反馈均衡(Multi-channelDecision Feedback Equalization, M-DFE)技术在冰下水声通信中抗多途时延的能力，研究比较了改进比例归一化最小均方(Improved Proportional normalized Least Mean Square, IPNLMS)算法和递归最小二乘(Recursive Least Squares,RLS)算法的均衡性能。试验结果表明IPNLMS和RLS都能克服信道多途效应带来的影响。在牺牲计算复杂度的前提下，RLS具有更好的均衡效果，M-DFE在冰下环境中能够有效消除码间干扰。     

Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions

In process industry, predictive control approaches have been widely used for nonlinear production processes. Practically, the predictor in a predictive controller is extremely important since it provides future states for the optimization problem of controllers. The conventional predictive controller with precise mathematical predictors approximating the state space of physical systems is difficult and time-consuming for nonlinear production processes, and it performs poorly over a wide range of working conditions and with significant disturbances. To address the challenges, the trend of applying artificial intelligence emerges. However, the industrial process-specific knowledge is ignored in most cases. In this study, a predictive controller with a control process knowledge-based random forest (RF) model is proposed. Specifically, working data are clustered at first to handle diverse working conditions. Then, a process knowledge-based forest predictor, namely MIW-RF model with a redesigned cascading RF structure, is proposed to incorporate control process knowledge into modeling. Thus, future states of controlled variables could be more accurately acquired for the optimizer. A simplified version of the predictive model is also developed with quick model training and updating. The proposed predictive methods are finally introduced into the controller design. According to the empirical results, the proposed methods deliver a better control performance against benchmarks, including more accurate anticipated controlled-variable responses, better set-point tracking and disturbance rejection capability.     

Scheduler-based state estimation over multiple channels networks

We investigate the remote state estimation problem for networked systems over parallel noise-free communication channels. Due to limited network capabilities in practical network environments, communication schedulers are implemented at the transmit side of each subchannel to promote resource efficiency. Specifically, the processed signals are transmitted only when it is necessary to provide the real-time measurements to the remote estimator. The recursive approximate minimum mean-square error estimator is established to restore the state vector of a target plant by utilizing the scheduled transmission signals. All the information coming from the individual subchannels, even if no measurement is sent, will contribute to improve the estimation performance in an analytical form. Finally, a numerical example is given to illustrate the effectiveness of the main results.     

直接检测式光接收机中的噪声分析

提出了基于窄带高斯过程的光接收机模型,改进了基于Karhunen-Loève变换的光接收机模型以包含波分复用（WDM）系统中的主要传输损伤. 得到了2种模型各自条件下判决电流的统计特征,并证明了2种方法在一定程度上是一致的. 所得解析结果与Monte-Carlo仿真结果精确吻合,可用于误码率的精确计算. 通过比较,说明高斯近似法估算的误码率过大,故其应用范围受到限制. 改进的Karhunen-Loève变换法具有很强的可扩展性,通过推广可以包含更多的因素,因此该方法可以作为IM-DD光传输系统性能精确评估的通用方法.     

一种基于业务区分的随机接入方案

通过对移动通信系统关键技术的发展趋势和网络实时业务服务质量（QoS）需求的分析,提出了一种适用于时分－正交频分多址接入系统（TD-OFDMA）的简单高效的随机接入方案。在该方案中,网络终端利用特有的优先随机接入信道（FRRACH）对不同时延特性的业务采用不同的随机接入机制,从而有效地避免分组碰撞,保障实时业务的QoS需求。理论分析和仿真结果表明,该方案在成功接入概率、接入时延以及资源利用率等方面的性能较目前常用的随机接入方案有着较大的改善。     

加强砂石土开采管理,切实保护矿产资源

从保护矿产资源的角度，介绍了砂石土无序开采的现状，分析了造成这种现状的主要原因，在明确砂石土的矿产资源属性的基础上，提出了治理无序开采的相应对策。     

矿井移动通信技术难题及解决方案探讨

介绍了我国煤矿井下移动通信现状,分析了技术上的难题-巷道对无线传输的影响、弱信号接收和井下环境噪声干扰,提出了解决途径。同时指出,陆地移动通信技术解决方案完全可以解决井下移动通信难题。