人工智能科学管理:智能手机领域的人工智能专利布局

人工智能技术与智能手机的融合,促进了智能手机领域的人工智能专利研发进程,加剧了智能手机硬件厂商、通讯运营商、软件开发者等主体的竞争局面。为促成智能手机领域在"人工智能+"时代形成良性竞争态势,竞争参与者应当寻求"以手机硬件与软件协调配合的人工智能专利布局模式",形成共享人工智能数据的开元平台,在人工智能手机元件、增强现实与虚拟现实技术、物联网基础器件等领域进行延伸性专利布局,从而使智能手机领域的人工智能应用方略为智能经济的发展形成示范效应。     

Decentralized operation strategies for an integrated building energy system using a memetic algorithm

The emerging technology in net-zero building and smart grids drives research moving from centralized operation decisions on a single building to decentralized decisions on a group of buildings, termed a building cluster which shares energy resources locally and globally. However, current research has focused on developing an accurate simulation of single building energy usage which limits its application to building clusters as scenarios such as energy sharing and competition cannot be modeled and studied. We hypothesize that the study of energy usage for a group of buildings instead of one single building will result in a cost effective building system which in turn will be resilient to power disruption. To this end, this paper develops a decision model based on a building cluster simulator with each building modeled by energy consumption, storage and generation sub modules. Assuming each building is interested in minimizing its energy cost, a bi-level operation decision framework based on a memetic algorithm is proposed to study the tradeoff in energy usage among the group of buildings. Two additional metrics, measuring the comfort level and the degree of dependencies on the power grid are introduced for the analysis. The experimental result demonstrates that the proposed framework is capable of deriving the Pareto solutions for the building cluster in a decentralized manner. The Pareto solutions not only enable multiple dimensional tradeoff analysis, but also provide valuable insight for determining pricing mechanisms and power grid capacity.     

基于鉴相器的手机瞬时心率监测软件设计

目前用手机摄像头监测心率的手机软件无法检测瞬时心率,因为手机上资源有限,而占用资源较少的主要检测方法差分阈值法需要根据一段时间的结果来设定阈值才能准确检测出心率,不适于瞬时心率的检测.针对以上问题提出了一种基于鉴相器的瞬时心率检测算法,通过手机摄像头检测出的脉搏波信号先与正弦参考信号相乘,再经过低通滤波器提取心率成分,根据相位的变化逐拍检测心率的变化.在Android智能手机上的实验结果表明,与ECG方法相比,计算精度能满足要求.与差分阈值法和滤波器组法相比,本文提出的方法能较快地检测出瞬时心率.     

如何应用手机二维码提升图书馆服务水平

在概述手机二维码的概念与特点的基础上，着重介绍了二维码在资源定位、OPAC信息检索、链接门户网站、服务引导、身份认证、信息查询等方面的应用，探讨了手机二维码应用于图书馆的优势及做法。     

Self-assembly in magnetic supramolecular hydrogels

Most recent advances in the synthesis of supramolecular hydrogels based on low molecular weight gelators (LMWGs) have focused on the development of novel hybrid hydrogels, combining LMWGs and different additives. The dynamic nature of the noncovalent interactions of supramolecular hydrogels, together with the specific properties of the additives included in the formulation, allow these novel hybrid hydrogels to present interesting features, such as stimuli-responsiveness, gel-sol reversibility, self-healing and thixotropy, which make them very appealing for multiple biomedical and biotechnological applications. In particular, the inclusion of magnetic nanoparticles in the hydrogel matrix results in magnetic hydrogels, a particular type of stimuli-responsive materials that respond to applied magnetic fields. This review focuses on the recent advances in the development of magnetic supramolecular hydrogels, with special emphasis in the role of the magnetic nanoparticles in the self-assembly process, as well as in the exciting applications of these materials.     

基于ARM和nRF905组网的智能家居系统设计

针对家居中电器种类和数目繁多且分散于各室造成控制不便,提出了一种利用nRF905射频模块实现无线通信的智能家居控制系统。系统对射频数据传输协议进行了设计,给出了室内多个微控制器的组网方案。用户通过手机短信或万能遥控器把对家电的控制信号发送至基于ARM平台搭建的主控中心,再由主控中心发送至若干个通信节点或智能插座,万能遥控器通过射频信号实现对家电的近距离遥控,手机通过GSM通信实现对家电的远程遥控。通信节点基于STC89C52RC单片机设计,能够实现对多种红外家电的控制并具备安防报警功能,智能插座则用于控制非遥控家电。实验表明,该系统可使网络中各节点、插座得到有效的控制,数据传输稳定、功能丰富、可扩展性强,具备较高的应用价值。     

基于XMPP的智能小区远程控制系统研究与设计

为解决智能家居系统中的通信控制实时性不强,系统可扩展性较差的问题,从即时通信领域引入XMPP协议,对传输的XML消息格式进行了扩展,使其适合于家居设备信息的描述和传输。通过asmack类库开发家居远程控制端和家居网关客户端,并对OpenFire服务器进行二次开发,构建了远程控制系统,该系统兼具智能家居控制与即时通信功能,实验表明,该系统控制信息传输时延在150ms以内,服务器端能支持200000用户,能满足小区用户的日常需求。     

Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management

Biosensors are emerging as efficient (sensitive and selective) and affordable analytical diagnostic tools for early-stage disease detection, as required for personalized health wellness management. Low-level detection of a targeted disease biomarker (pM level) has emerged extremely useful to evaluate the progression of disease under therapy. Such collected bioinformatics and its multi-aspects-oriented analytics is in demand to explore the effectiveness of a prescribed treatment, optimize therapy, and correlate biomarker level with disease pathogenesis. Owing to nanotechnology-enabled advancements in sensing unit fabrication, device integration, interfacing, packaging, and sensing performance at point-of-care (POC) has rendered diagnostics according to the requirements of disease management and patient disease profile i.e. in a personalized manner. Efforts are continuously being made to promote the state of art biosensing technology as a next-generation non-invasive disease diagnostics methodology. Keeping this in view, this progressive opinion article describes personalized health care management related analytical tools which can provide access to better health for everyone, with overreaching aim to manage healthy tomorrow timely. Considering accomplishments and predictions, such affordable intelligent diagnostics tools are urgently required to manage COVID-19 pandemic, a life-threatening respiratory infectious disease, where a rapid, selective and sensitive detection of human beta severe acute respiratory system coronavirus (SARS-COoV-2) protein is the key factor.     

基于时空关系的手机定位数据处理方法

应用手机定位技术进行交通信息的采集是当前国内外研究的一个热点.但是效果并不如人意,其中手机定位数据中包含了大量的“噪声”是一个重要原因.以某区域的手机定位数据作为对象,结合CELL_ID定位技术与手机切换的原理,首先根据蜂窝网基站的点数据,创建了与之对应的点、面图层;然后采用基于GIS时空关系的方法,对手机定位数据中“...     

基于多技术融合的Web服务安全的研究与实现

随着Web服务的广泛应用,身份认证成为影响其发展的关键技术之一.本文在研究Web服务安全机制、数字签名技术(DSA算法)和智能卡技术的基础上,实现了一种基于多技术融合的Web服务安全的解决方案,有效的提高了Web服务的安全性,可以用于对Web服务安全性要求较高的信息系统.