Home Network and Digital Rights Management Technology

The home network is a major concern for the growth of digital and information society. Yet, how to guarantee the security of its digital content and protect the legal benefits for each section of the value chain becomes a crucial "bottleneck" in the home network development. The Digital Rights Management (DRM) technology provides total solution for usage, storage, transfer, and tracing the digital contents and rights. Its basic features are systematic and controllability. Considering the growth of the new media and services and the requirements of the Intellectual Property Rights (IPR) protection in a home network, it's necessary to solve consistency problems in usage, storage, and transfer of contents and rights. In addition, it is inevitable to conduct researches of key techniques such as end-to-end secure transmission, conditional access and play, and right description.

Ubiquitous Access Technology for Wireless Digital Home Networks

As an important branch of telecommunication technology, digital home networks have quickly developed in recent years. Although architecture of the digital home network based on telecommunication networks has been standardized in China, only wireless access is defined to be allowable. Therefore, it becomes the focus of further research how to establish a wireless digital home network. This article proposes the concept and shows the architecture of ubiquitous access for wireless digital home networks. Moreover, key technologies for ubiquitous access are discussed here, including cognitive radio, the concept of wireless Mesh, generic link transfer mechanism, Quality of Service (QoS) guarantee mechanism, Electromagnetic Compatibility (EMC) and coexistence of heterogeneous systems.

BAN and Remote Healthcare in a Home Network

An effective approach to improve healthcare quality is to provide Point-of-care (POC) service through a telecare system. A Body Area Network (BAN) consists of a variety of body sensors. In a telecare system the BAN can provide a network environment that allows timely collection of information and POC service, which gives significant new meaning to a home network. Through the BAN, a home network is able to promptly and effectively collect monitoring information for a telecare system, and to preview monitored medical data in advance. Should a problem arise, it can immediately notify other family members to provide relieve to the sick.

Design of child’s safety management system based on ontology using context information of home network

This paper presents a system to alert of dangerous a child situation of a child by applying context information collected from a home network to ontology that is capable of inference. Radio frequency Identification (RFID) and sensors were used for the configuration of a home network, to obtain the raw data to convert into context information. To express the ontology, web ontology language (OWL) was used to provide the inference of context information. Then, simple object access protocol (SOAP) messages were used to notify of the dangerous situations that a child may be involved in via mobile devices. The proposed system consists of Context Manager, Service Manager, and Notification Manager. The child’s safety management system can proactively detect the context data of a child on the basis of context awareness. In the experiment, the Jena 2.0 by ontology reasoner and the OSGi(Open Service Gateway initiative) Gateway developed using open source software Knopflerfish 1.3.3 were used to implement the service frame work.

Intelligence service binding architecture for interoperability between home network devices

Existing home devices in home network provides only independent services limited on a homogeneous protocol and/or do not fully support an intelligent service provided by cooperating among heterogeneous protocol devices. This paper proposes an intelligent and integrated service binding architecture which allow the users to figure out the status of devices and to cooperate among home network devices regardless of supported protocols or operational characteristics.

Design and Implementation of a Novel HomePlug-Based Solution for Low Cost and High Performance Smart Home Networking

As the smart home is the end-point power consumer, it is the major part to be controlled in a smart micro grid. There are so many challenges for implementing a smart home system in which the most important ones are the cost and simplicity of the implementation method. It is clear that the major share of the total cost is referred to the internal controlling system network; although there are too many methods proposed but still there is not any satisfying method at the consumers＇ point of view. In this paper, a novel solution for this demand is proposed, which not only minimizes the implementation cost, but also provides a high level of reliability and simplicity of operation; feasibility, extendibility, and flexibility are other leading properties of the design.

Millimeter-wave wireless communications for home network in fiber-to-the-room scenario

Millimeter-wave(mmWave)technology has been well studied for both outdoor long-distance transmission and indoor short-range communication.In the recently emerging fiber-to-the-room(FTTR)architecture in the home network of the fifth generation fixed networks(F5G),mmWave technology can be cascaded well to a new optical network terminal in the room to enable extremely high data rate communication(i.e.,>10 Gb/s).In the FTTR+mmWave scenario,the rapid degradation of the mmWave signal in long-distance transmission and the significant loss against wall penetration are no longer the bottlenecks for real application.Moreover,the surrounding walls of every room provide excellent isolation to avoid interference and guarantee security.This paper provides insights and analysis for the new FTTR+mmWave architecture to improve the customer experience in future broadband services such as immersive audiovisual videos.

Modeling Secure Home Area Network Based on IoT for Resource Constraints Environment

The Internet of things (IoT) can be used in our daily life. Home area network (HAN) is one of the applications of loT. However, deploying HAN for underdeveloped countries in Africa is not easy due to the lack of Internet connectivity and stable electricity. First of all, Internet in Africa is growing fast but the majority of countries in Africa have Internet penetration of less than 10%. Furthermore, the problem of accessing electricity varies greatly across African countries, which is still less than 30% of the average usage rate. The aim of this paper is to model a secure HAN based on IoT for resource constraints environment, which are focused on both network connectivity and energy stability. Poor connectivity, the prevalence of low-end devices and several other obstacles should be considered for the secure HAN deployment in developing and underdeveloped countries. The proposed HAN model will provide the resource constraints module composed of network connectivity function and energy stability function to support the two constraints based on the IoT basic module and the security and privacy module. The proposed HAN model could be securely applied to various countries HAN applications with poor electricity supply and network connectivity.

The ZigBee Based Wireless Sensor and Actor Network in Intelligent Space Oriented to Home Service Robot

In the study of intelligent space oriented to home service robot, an important technology is how to construct an communication network which has the characters of high reliability and easy building. In this paper, based on the characteristics of ZigBee protocol, ZigBee technology is used to construct a wireless sensor and actor network. Several intelligent services based on ZigBee wireless sensor and actor network are shown to certify the reliability of this communication network. ZigBee wireless sensor and actor network builds an information bridge for the components in the intelligent space, the spatially distributed devices are connected together seamlessly. With this network, robot can share the mass information in the intelligent space and improve its performance with 'light-packs', devices in intelligent space, such as lamp, curtain can be controlled autonomously.

Building an Intelligent Home Space for Service Robot Based on Multi-Pattern Information Model and Wireless Sensor Networks

This paper is concerned with constructing a prototype intelligent home environment for home service robot. In this environment, multi-pattern information can be represented by some intelligent artificial marks. Light-packs service robots can provide reliable and intelligent service by interacting with the environment through the wireless sensor networks. The intelligent space consists the following main components: smart devices with intelligent artificial mark;home server that connects the smart device and maintains the information through wireless sensor network;and the service robot that perform tasks in collaboration with the environment. In this paper, the multi-pattern information model is built, the construction of wireless sensor networks is presented, the smart and agilely home service is introduced. Fi- nally, the future direction of intelligent space system is discussed.

An EEGA-Based Bayesian Belief Network Model for Recognition of Human Activity in Smart Home

With the emerging of sensor networks, research on sensor-based activity recognition has attracted much attention. Many existing methods cannot well deal with the cases that contain hundreds of sensors and their recognition accuracy is requisite to be further improved. A novel framework for recognizing human activities in smart home was presented. First, small, easy-to-install, and low-cost state change sensors were adopted for recording state change or use of the objects. Then the Bayesian belief network (BBN) was applied to conducting activity recognition by modeling statistical dependencies between sensor data and human activity. An edge-encode genetic algorithm (EEGA) approach was proposed to resolve the difficulties in structure learning of the BBN model under a high dimension space and large data set. Finally, some experiments were made using one publicly available dataset. The experimental results show that the EEGA algorithm is effective and efficient in learning the BBN structure and outperforms the conventional approaches. By conducting human activity recognition based on the testing samples, the BBN is effective to conduct human activity recognition and outperforms the naive Bayesian network (NBN) and multiclass naive Bayes classifier (MNBC).

ZigBee无线通信技术在智能家居网络中的应用

ZigBee无线通信技术在智能家居组网中具有重要的应用。为了探究其使用场景和方法,文章首先分析了基于ZigBee的智能家居网络组网方式,其次介绍了接收信号强度指示(Received Signal Strength Indicator,RSSI)算法的测距原理和DV-Hop算法的测点原理,最后针对两种算法的局限性,提出基于阈值的改进定位算法。

一种BIM家居场景模型纹理真实性还原方法

针对现有的BIM建模软件与建模方法制作出的模型纹理材质过于单一且真实感不足,不能很好地满足不同用户的实际需求等问题,本文提出了一种BIM家居场景模型纹理真实性还原方法。首先,根据家居场景中常见家具种类建立图像数据集;其次,采用神经网络算法获取到图像的纹理特征信息,得到相似的真实家具图像,并通过最小框图裁剪并合成对应的BIM家居场景中不同家具模型的材质贴图;最后反馈到建模软件实现BIM家居场景模型纹理真实性的还原。实验结果表明,经本文方法处理后的BIM家居场景模型能够较为真实的还原现实场景。

基于问题主动感知的家庭宽带质量智能运维研究与实践

文章针对传统家庭宽带网络运维过程中存在的自动化程度低、重复工作占比高、功能割裂等问题,提出如何采取家庭宽带全过程问题主动感知、自检查自治闭环体系,并融入IT化自执行手段,打造一站式质量自运维能力,实现对家宽问题的自识别、自定位、自处理、自执行,从被动等待客户投诉的被动运维转变为主动识别、发现、解决问题的主动运维,大幅增强家宽网络异常识别和分析能力,为家宽网络质量精细化智能运维提供参考。

考虑同侧和跨侧网络效应的UGC平台广告投放和内容创作补贴策略

UGC平台连接着内容创作者和消费者,双边用户间存在的同侧和跨侧网络效应吸引着他们进入一个或多个平台,从而形成不同的部分多归属结构。基于Hotelling模型,通过构建UGC平台的竞争模型,研究了双方均单归属(SS)、仅消费者边部分多归属(MS)和仅内容创作者部分多归属(SM)3种部分多归属结构下同侧和跨侧网络效应影响下的平台广告投放与内容创作补贴决策,以及其对市场份额和平台利润的影响。研究发现:当消费者边单归属(SS或SM)时,平台的广告投放随同侧网络效应单调递减;当消费者边多归属(MS)时,平台的内容创作补贴和消费者规模会随同侧网络效应单调递增,而同侧网络效应对平台的广告投放水平的影响是非单调的,其受到消费者对广告厌恶水平的影响。当消费者边多归属(MS)时,随着消费者边的跨侧网络效应的增加,平台会采取提高广告投放水平和内容创作者补贴,即从消费者处获得更多的广告收入以补贴内容创作者的策略;而随着内容创作者边的跨侧网络效应的增加,平台会降低广告水平并提高内容创作者补贴,即采取同时向两边用户让利的策略。当内容创作者边多归属(SM)时,随着消费者边的跨侧网络效应的增加,平台会同时向两边用户让利;而随着内容创作者边的跨侧网络效应的增加,平台会降低广告投放和内容创作者补贴水平,即降低对内容创作者的补贴而让消费者观看更少的广告。当某一边用户选择多归属时,该边用户的规模会随跨侧网络效应的提升而增长。通过对不同情形下均衡结果的横向比较,还发现双边用户中存在多归属的前提是较强的跨侧网络效应,而内容创作者多归属时,平台更容易对内容创作者提供补贴。

计算机与电子信息技术在人工智能领域的应用

计算机与电子信息技术在人工智能领域的应用已经成为当今社会发展的重要驱动力。本文将介绍计算机与电子信息技术在人工智能领域的应用,包括机器学习、深度学习、自然语言处理、计算机视觉等技术,并探讨这些技术在智能家居、智能交通、智能医疗等领域的应用。同时,本文还将分析这些技术对社会经济生活的影响,并展望未来发展趋势。

Homeplug AV over Coax系统设计

设计了一种基于Homeplug AV技术利用家用同轴电缆实现家庭HFC网的双向接入设备。介绍了整个系统的设计思路,并对Homeplug AV over Coax设备进行了测试,包括衰减、设备组网、网络节点、传输帧的大小对整个系统的吞吐量、延时的影响,得出其性能要比电力线上用好得多,并对Homeplug AV over Coax的应用前景作了分析。

智能家居中物联网传感器的网络设计与优化

物联网成为继计算机、移动互联网的新兴技术,受到各行各业的广泛关注。基于物联网技术的智能家居充分发挥其特性,提升了人们的生活水平。分析了传统智能家居中的传感器网络,介绍了智能家居物联网传感器网络设计及优化过程,以期为用户与智能家居系统的交互提供便利。

家园网络沟通对家庭教育指导成效的影响--父亲卷入的中介作用

以符号互动论为理论基础,基于21665份问卷调查,运用结构方程模型探讨家园网络沟通、父亲卷入与家庭教育指导成效之间的关系。结果表明:“符号在场”的家园网络沟通对家庭教育指导成效具有较强的预测功能,其中适用性影响力最大,而交互性影响最小,丰富性和可视化则具有负向预测功能;父亲卷入在家园网络沟通与家庭教育指导成效之间起到部分中介作用。为此,家园网络沟通的“符号在场”与传统的“具身在场”应兼容并蓄,父亲卷入的“主体自觉”与“外在机制”应双向协同,家庭教育指导的“意义驱动”和“情知交融”应相辅相成。

浅析两种家庭网络技术:HomePNA和Powerline

本文比较了两种家庭网络技术:电话线接入技术和电力线接入技术。简述了其标准规范和关键技术,分析了两种技术的优缺点,并对它们的应用前景作了展望。