便携机智能电池与主机的通信方案

随着便携式设备的发展,智能电池也得到越来越广泛的应用.而智能电池通常需要与系统主机之间进行通信,以发挥其最大作用,满足用户需要.为此,该文针对现有大多数便携机的特点提出了一种利用C805IF3XX单片机实现智能电池与主机的通信的方案.介绍了该方案涉及到的SMBUS协议与USB协议,描述了该方案硬件组成与软件实现步骤,具有较强的实用性.     

无线Mesh网络技术及其应用

作为一种新型无线技术,Mesh网络技术的拓扑结构、关键技术及应用领域一直以来备受关注。通过分析它的多级跳点系统拓扑结构,可以总结出它比传统无线网络具有更大的容量、速率和覆盖范围;它涉及了智能天线、MAC层多址访问等一系列关键技术,应用领域十分广泛。     

AOP在虚拟行为建模中的应用研究

该文介绍了对面向方面的思想和编程方法以及目前虚拟现实中各种行为造型的方法,并研究了AOP（Aspect Oriented Pro—gramming）思想应用到行为造型中的方法,将行为视为虚拟现实实体对象的方面,动态添加到实体对象中。最后阐述了在X3D中实现基于AOP的行为造型的方法和关键技术。还阐述了基于AOP的行为造型方法的在实际项目中的应用情况,充分验证了该方法的实用性和有效性。     

Java卡对象共享安全策略分析与实现

使用形式化方法对Java智能卡的应用隔离与对象共享机制进行分析,用信任模型表述卡内多应用间对象共享关系,根据信任可传递的条件推断出仅由应用级安全策略控制共享对象访问的不足,提出以增加卡内全局访问控制机制来防止未经授权的信息流动这一安全策略设计思路,并给出一个简单实现。     

基于单片机的智能刹车控制系统设计与实现

为了避免误把油门当刹车的操作,减少交通事故发生率,设计实现了基于单片机的智能刹车控制系统;系统以STC89C58RD+单片机为核心,首先对踏板的加速信号进行采集,经循环判定阈值方法处理后输出信号,一部分输入到STC13C4053AD产生PWM信号驱动直流电机,另一部分输入RT13864M和ISD35130,模拟感官效果,并给出了系统的硬件电路和软件设计流程;测试证明,该系统能够对误踩油门进行有效控制,这对减少和避免交通事故,保障行车安全具有非常重要的现实意义和应用价值。     

基于改进ECC的含电动汽车用户负荷信息保护方案

在智能电网的大趋势下,电力公司与用户之间的数据传输交换愈加频繁高效。通信网络经常遭受网络攻击或窃听,为确保用户的用电数据在传输过程中不被恶意篡改,提出一种面向电动汽车用户的信息保护方案。通过改进加法运算和标量乘运算对传统椭圆曲线加密算法（elliptic curve cryptography, ECC）做轻量级优化,克服电网双向互动环境中智能电表资源有限的问题。在此基础上,设计负荷分解算法作为加密方案的检验工具,分解加密后的电力数据。最后,通过仿真算例分析,验证了所提方案的可靠性和安全性。     

Ultrafast Switchable Passive Radiative Cooling Smart Windows with Synergistic Optical Modulation

Switchable passive radiative cooling (PRC) smart windows can modulate sunlight transmission and spontaneously emit heat to outer space through atmospheric transparent window, presenting great potential in building energy conservation. However, realizing stable and on-demand control of the cooling efficiency for PRC materials is still challenging. Herein, an electro-controlled polymer-dispersed liquid crystal (PDLC) smart window showing PRC property is designed and prepared by adding mid-infrared emitting reactive monomers into the conventional PDLC matrix. It is found that not only the electro-optical properties but also the PRC efficiency of PRC PDLC film are tunable by regulating the content of the mid-infrared emitting components, film thickness, and micromorphology. This advanced PRC PDLC material achieves a near/sub-ambient temperature when the solar irradiance is below 400 W m⁻² and can dynamically manage daytime cooling efficiency. Importantly, its PRC efficiency is capable of being tuned in an on-demand and ultrafast millisecond-scale way, whose controllable transparency enables multistage heat regulation. This study is hoped to provide new inspiration in the preparation of advanced optical devices and energy-efficient equipment.     

Electronic Auction Scheme Based on Smart Contract and IPFS

Sealed-bid auctions are a vital transaction tool in the e-commerce field. Traditional centralized auction schemes typically result in severe threats to data integrity,information transparency,and traceability owing to their excessive reliance on third parties,and blockchain-based auction schemes generally suffer from high storage costs and are deficient in functional and architectural design. To solve these problems,this study presents a sealed-bid auction scheme that removes the third-party bas...     

Thermally Responsive Fibers for Versatile Thermoactivated Protective Fabrics

Smart textiles with good mechanical adaptability play an important role in personal protection, health monitoring, and aerospace applications. However, most of the reported thermally responsive polymers has long response time and poor processability, comfort, and wearability. Skin-core structures of thermally responsive fibers with multiple commercial fiber cores and temperature-responsive hydrogel skins are designed and fabricated, which exhibit rapid mechanical adaptability, good thermohardening, and thermal insulation. This universal method enables tight bonding between various commercial fiber cores and hydrogel skins via specific covalently anchored networks. At room temperature, prepared fibers show softness, flexibility, and skin compatibility similar to those of ordinary fibers. As temperature rises, smart fibers become hard, rigid, and self-supporting. The modulus of hydrogel skin increases from 304% to 30883%, showing good mechanoadaptability and impact resistance owing to the synergy between hydrophobic interactions and ionic bonding. Moreover, this synergistic effect leads to an increase in heat absorption, and fibers exhibit good thermal insulation, which reduces the contact temperature of the body surface by ≈25 °C under the external temperature of 95 °C, effectively preventing thermal burns. Notably, the active mechanoadaptability of these smart fibers using conductive fibers as cores is demonstrated. This study provides feasibility for fabricating environmentally adaptive intelligent textiles.     

Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT

The conventional hospital environment is transformed into digital transformation that focuses on patient centric remote approach through advanced technologies. Early diagnosis of many diseases will improve the patient life. The cost of health care systems is reduced due to the use of advanced technologies such as Internet of Things (IoT), Wireless Sensor Networks (WSN), Embedded systems, Deep learning approaches and Optimization and aggregation methods. The data generated through these technologies will demand the bandwidth, data rate, latency of the network. In this proposed work, efficient discrete grey wolf optimization (DGWO) based data aggregation scheme using Elliptic curve Elgamal with Message Authentication code (ECEMAC) has been used to aggregate the parameters generated from the wearable sensor devices of the patient. The nodes that are far away from edge node will forward the data to its neighbor cluster head using DGWO. Aggregation scheme will reduce the number of transmissions over the network. The aggregated data are preprocessed at edge node to remove the noise for better diagnosis. Edge node will reduce the overhead of cloud server. The aggregated data are forward to cloud server for central storage and diagnosis. This proposed smart diagnosis will reduce the transmission cost through aggregation scheme which will reduce the energy of the system. Energy cost for proposed system for 300 nodes is 0.34μJ. Various energy cost of existing approaches such as secure privacy preserving data aggregation scheme (SPPDA), concealed data aggregation scheme for multiple application (CDAMA) and secure aggregation scheme (ASAS) are 1.3 μJ, 0.81 μJ and 0.51 μJ respectively. The optimization approaches and encryption method will ensure the data privacy.