Trust management framework for intelligent agent negotiations in ubiquitous computing environments

In dynamic ubiquitous computing environments, system entities may be classified into two main categories that are, in principle, in conflict. These are the Service Resource Requestors (SRRs) wishing to use services and/or exploit resources offered by the other system entities and the Service Resource Providers (SRPs) that offer the services/resources requested. Seeking for the maximisation of their welfare, while achieving their own goals and aims, entities may misbehave (intentionally or unintentionally), thus, leading to a significant deterioration of system’s performance. In this study, a reputation mechanism is proposed which helps estimating SRPs trustworthiness and predicting their future behaviour, taking into account their past performance in consistently satisfying SRRs’ expectations. Thereafter, under the assumption that a number of SRPs may handle the SRRs requests, the SRRs may decide on the most appropriate SRP for the service/resource requested on the basis of a weighted combination of the evaluation of the quality of their offer (performance related factor) and of their reputation rating (reliability related factor). The proposed trust management framework is distributed, considers both first-hand information (acquired from the SRR’s direct past experiences with the SRPs) and second-hand information (disseminated from other SRRs’ past experiences with the SRPs), while it exhibits a robust behaviour against inaccurate reputation ratings. The designed mechanisms have been empirically evaluated simulating interactions among self-interested agents, exhibiting improved performance with respect to random SRP selection.     

Service-creation environments for intelligent networks

Service-creation environments (SCEs) for intelligent networks, the next frontier in telecommunications, are discussed. It is stated that as SCEs become part of network structures, the use of real-time software validation to supplement or eventually supersede regression testing must be implemented. Three elements in the Exploratory Intelligent Network project that may satisfy these requirements are discussed: finite-state tests, call-model standards, and fast real-time processors     

C3S:research of CI-based concurrent transmission strategy for intelligent sensing system

Concurrent transmission technology has important sense for Intelligent Sensing System (ISS).The C3S strategy based with constructive interference (CI) was proposed.C3S was composed of intelligent clock synchronization layer,intelligent energy consumption allocation layer and intelligent parallel pipeline layer.The intelligent clock synchronization layer designed ICCA,a CI-based intelligent clock calibration algorithm.The intelligent energy allocation layer designed CIES,a energy adaptive scheduling scheme for CI,Moreover,a CI-based parallel pipeline CI2P was implemented in the intelligent parallel pipeline layer.The experimental results show that the C3S strategy can effectively improve the packet receiving rate of the concurrent transmission in ISS.It can also reduce the energy consumption of ISS and improve the channel utilization rate of ISS.     

Wireless sensor networks: applications and challenges of ubiquitous sensing

Sensor networks offer a powerful combination of distributed sensing, computing and communication. They lend themselves to countless applications and, at the same time, offer numerous challenges due to their peculiarities, primarily the stringent energy constraints to which sensing nodes are typically subjected. The distinguishing traits of sensor networks have a direct impact on the hardware design of the nodes at at least four levels: power source, processor, communication hardware, and sensors. Various hardware platforms have already been designed to test the many ideas spawned by the research community and to implement applications to virtually all fields of science and technology. We are convinced that CAS will be able to provide a substantial contribution to the development of this exciting field.     

基于NB-IoT的智能烟感系统

传统的独立式烟感设备具有高成本,难以管理的技术痛点,已不再满足当下的消防需求。针对这样的问题,本文以实际应用需求为背景,开发设计了一款基于NB-IoT的智能烟感系统,集成Web系统端、移动APP端,降低管理和部署成本,提升管控效率,为“智慧城市”保驾护航。     

IT839 Strategy: the Korean challenge toward a ubiquitous world

The South Korean government declared the IT839 Strategy as a new development strategy for the IT sector in 2004. Under this strategy, the introduction and development of eight (8) new IT services are expected to encourage investment in three (3) key network infrastructures, which in turn will promote the development of nine (9) new growth engines, including equipment, terminal, software, contents, and so on. Moreover, each of the 20 (8 + 3 + 9) sectors of the IT839 Strategy will reap synergistic effects as a result of concurrent growth through cooperation among the government, private sector, and research institutes. The IT839 Strategy is anchored on the belief that IT will bring about qualitative changes in the economic and social paradigm, ultimately aiming to realize a ubiquitous world by forming a virtual circle of developing new services, infrastructures, and growth engines.     

泛在网络中基于压缩感知的Wyner-Ziv空域可分级视频编码

提出一种适用于泛在网络中的基于压缩感知的Wyner-Ziv空域可分级视频编码.在编码端,基本层和增强层之间独立编码,基本层编码器将视频信号下采样,然后进行H.264视频编码,增强层编码器采用自适应的压缩感知测量、量化和熵编码.在解码端,利用时域稀疏模型,基本层和增强层联合进行压缩感知重建.理论分析和实验结果表明,所提编码算法能够灵活地调整输出码流,具有较好的率失真性能和传输的顽健性.     

一种多天线智能谱感知方法研究

频谱感知和多天线分集合并技术是目前无线通信研究的热点.为了在复杂的信道衰落环境下实施有效的检测,融合多种检测方法是目前频谱感知技术的发展趋势.提出了一种基于匹配滤波器检测、能量检测和循环平稳检测的多天线合并智能频谱感知算法.通过建立高斯信道下二元假设检验模型,得出了总检测概率的封闭表达式.各种条件下的检测概率和检测时间的接收机工作特性(Receiver Operating Characteristic,ROC)实验结果表明所提算法优于单天线的性能,有效地利用了分集技术并减小了信号瞬时波动,保证在衰落信道条件下也能得到较高的检测概率.这对发展新型频谱感知技术,促进认知无线电技术应用具有重要意义.     

智能温室环境感知系统设计

随着传感器技术和物联网技术的发展,采用现代传感器以及物联网技术进行无线传输信息,对于农业温室大棚环境监测具有一定的应用价值。本文以单片机STC15F2K60S2为核心,通过将光照强度传感器、温湿度传感器、CO2传感器整合在一个系统中,来实现对温室大棚的监测和报警,并将数据通过无线传输方式传送到监控室。通过对环境的监测与控制来提高作物产率和经济效益。     

Edge-driven ubiquitous wireless communication for robust cluster intelligent piano presentation platform considering system security

With the popularization of 6G-driven wireless access networks and the development of edge computing, the connection between piano performance and artificial intelligence algorithms is getting closer and closer. 6G was first used to solve large-capacity, short-latency communication problems, and research results in this field abound. However, in practical applications, the deployment of 6G high-frequency network is a major problem faced by the industry. This paper mainly studies the artificial robust cluster piano demonstration platform from the perspective of the fusion of 6G and edge computing. We firstly consider that the edge computing is a technology in which artificial intelligence algorithms are transplanted to edge devices and chips. The vision of the 6G network is to realize ubiquitous wireless intelligence, which includes three dimensions: mobile ultra-broadband, super Internet of Things, and artificial intelligence, and realizes the conversion of piano scores into digital signals. Artificial Robust Clustering is a comprehensive technique that incorporates many disciplines, including phonetics, artificial intelligence, computer science, and more. This paper analyzes the fusion technology of 6G and edge computing and studies the robust cluster intelligent piano demonstration platform. The mentioned technologies are combined together to make the designed efficient.     

CPLD在智能感应照明控制系统中的应用

针对传统LED照明开关控制模糊等缺陷,设计了CPLD智能照明控制系统。首先介绍采用CPLD进行智能感应照明控制系统的工作原理,分析软硬件设计思路以及遇到的问题。实验表明,智能控制系统改善了传统控制开关的缺陷,能够可靠工作,实现照明的智能控制。     

基于超表面的智能电磁感知:理论、系统与实验

电磁感知是现代社会迫切需要的非接触式探测技术,而实现实时数据处理、低成本、低能耗的智能电磁感知系统一直是微波探测领域的长期追求目标. 为了实现这一目标,文中将能够任意调控电磁波前的可编程超表面与具有强大信息处理能力的深度学习技术相结合,实现了智能电磁感知系统;并分别从理论、系统设计与实验三个角度深入研究了深度学习驱动的智能电磁感知方法. 文中首先利用“k空间”法分析了基于可编程超表面的电磁感知系统的理论分辨率和影响因素;然后介绍了一款32×24的1比特可编程超表面的系统设计,并实验验证了其动态调控电磁波前的良好性能;在此基础上将深度学习技术引入感知系统中,建立了自适应处理高维感知数据的成像卷积神经网络,实现了高保真度的人体姿态成像. 本文的研究成果可用于指导智能电磁感知系统的设计与分析,并且为未来人工智能时代的电磁感知系统开辟了一条新的途径.     

An intelligent cooperative sensing strategy with low overhead for cognitive radios

As is well known, cooperative sensing can remarkably improve the sensing accuracy by exploiting the spatial diversity of different secondary users. However, a large number of cooperative secondary users reporting their local decisions would induce great detection delay and traffic burden, which degrades the performance of secondary spectrum access. This paper proposes an intelligent cooperative sensing (ICS) strategy with selective reporting and sequential detection to enhance the sensing reliability as well as reduce the sensing overhead for cognitive radios. The tradeoff in the sensing time allocation is studied for ICS and then two novel fusion rules are developed to efficiently obtain the optimum sensing time allocation with different objectives. The performance of ICS is analyzed in terms of miss detection probability and average sensing time, where their closed‐form expressions are derived over Rayleigh fading channels. Simulation results reveal that ICS achieves higher sensing reliability with less sensing overhead than the traditional strategy. It is also shown that the miss detection probability and average sensing time of ICS can be minimized by optimizing the sensing time allocation. Copyright © 2013 John Wiley & Sons, Ltd.     

一种智能助力车力矩感测系统设计与实现

针对目前助力车力矩感测系统开发难度大、成本高等问题,设计一种基于敏感元件的新型助力车力矩感测系统。以敏感元件电阻应变片为核心的力矩传感器、以差分放大和A/D转换电路为主的信号处理单元、以低功耗无线射频芯片CC1110为核心的数据处理及无线收发单元等部件置于助力车中轴,实现力矩信号的采集;软件上运用加权递推平均滤波增强数据采集的稳定性,采用零点补偿和最小二乘法拟合矫正来确保数据的采集精度。利用感应耦合供电和无线数字传输技术实现了对位于中轴力矩采集部件电能与信号的非接触传输。最后在模拟实际骑行的基础上对系统的精度及耐久性进行了测试,结果表明,该系统工作稳定,测量精度较高,在20 000 km测试范围内,满量程误差小于1%,具有很好的推广价值。