Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Application

The use of the Internet of Things(IoT)is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of devices.In critical infrastructure domains like oil and gas supply,intelligent transportation,power grids,and autonomous agriculture,it is essential to guarantee the confidentiality,integrity,and authenticity of data collected and exchanged.However,the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic techniques.Consequently,designing a lightweight secure data transmission scheme is becoming essential.In this article,we propose lightweight secure data transmission(LSDT)scheme for IoT environments.LSDT consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement protocol.We design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation costs.Security and performance analysis indicates that the LSDT scheme is secure,suitable for IoT applications,and performs better in comparison to other related security schemes.

Characteristics on Hydro-mechanical Transmission in Power Shift Process

To improve the vehicular power and acceleration performance and reduce the shift impact, the study of the characteristics on power shift is necessary. Based on the flexible hydraulic unit of hydro-mechanical transmission, this paper explores the feasibility of shift without power interruption. With the four models concerning displacement ratio, rotational speed, rotational torque and power at ideal shift point, the characteristics on power shift in different running conditions are analyzed, and the rules of power shift are revealed. The theoretical analysis and test results show that the hydro-mechanical transmission can shift without power interruption in different running conditions. Furthermore, there exists an ideal shift point in theory, at which point the cycle power in hydro-mechanical transmission can＇t be generated, and the impact on the system can be reduced to the minimum. However, if before or after this ideal shift point, a cycle power can be generated.

Research and Design of Hydro-mechanical Continuously Variable Transmission for Tractors

A new type continuous variable transmission device, a hydro-mechanical continuously variable transmission （HMCVT） for agricultural tractors is developed, which is composed of a single planetary gear differential train, a hydraulic transmission system consisted of variable displacement pump and fixed displacement motor and a multi-gear fixed step radio transmission. Based on the analysis of types of hydrostatic mechanical transmission （HMT） and styles of hydraulic transmission, the general drive scheme for HMCVT is obtained. The method of selecting mechanical parameters and hydraulic units is explained, and the stepless speed regulation characteristic of HMCVT is analyzed. This paper also specializes the calculating method of transmission efficiency. It shows that tractors assembled with HMCVT can obtain a continuously variable speed and achieve high drive efficiency.

Transmission time in the reflectionless complex potential

A phase time definition directly obtained from the Schr6dinger equation is used to investigate the time delay of a particle scattered by complex reflectionless potential. The artifacts introduced by truncating in the numerical simulation are clarified. The time delay of the transmitted wave packet is found to be equal to the reflection time of the truncated potential. Both time delays are the same as the traversal time in the free space, but shorter than the time taken by a classical particle to pass the same potential.

Volume transmission and receptor-receptor interactions in heteroreceptor complexes:understanding the role of new concepts for brain communication

The discovery of the central monoamine neurons not only demonstrated novel types of brain stem neurons forming global terminal networks all over the brain and the spinal cord,but also to a novel type of communication called volume transmission.It is a major mode of communication in the central nervous system that takes places in the extracellular fluid and the cerebral spinal fluid through diffusion and flow of molecules,like neurotransmitters and extracellular vesicles.The integration of synaptic and volume transmission takes place through allosteric receptor-receptor interactions in heteroreceptor complexes.These heterocomplexes represent major integrator centres in the plasma membrane and their protomers act as moonlighting proteins undergoing dynamic changes and their structure and function.In fact,we propose that the molecular bases of learning and memory can be based on the reorganization of multiples homo and heteroreceptor complexes into novel assembles in the post-junctional membranes of synapses.

Network Coding-based Reliable Broadcast Transmission in Wireless Networks

Recently, network coding has been applied to the loss recovery of reliable broadcast transmission in wireless networks. Since it was proved that fi nding the optimal set of lost packets for XOR-ing is a complex NP-complete problem, the available time-based retransmission scheme and its enhanced retransmission scheme have exponential computational complexity and thus are not scalable to large networks. In this paper, we present an efficient heuristic scheme based on hypergraph coloring and also its enhanced heuristic scheme to improve the transmission efficiency. Basically, our proposed schemes fi rst create a hypergraph according to the packet-loss matrix. Then our schemes solve the problem of generating XORed packets by coloring the edges of hypergraph. Extensive simulation results demonstrate that, the heuristic scheme based on hypergraph coloring and its enhanced scheme can achieve almost the same transmission efficiency as the available ones, but have much lower computational complexity, which is very important for the wireless devices without high computation capacity.

Efficient Broadcast Retransmission Based on Network Coding for InterPlaNetary Internet

In traditional wireless broadcast networks,a corrupted packet must be retransmitted even if it has been lost by only one receiver.Obviously,this is not bandwidth-efficient for the receivers that already hold the retransmitted packet.Therefore,it is important to develop a method to realise efficient broadcast transmission.Network coding is a promising technique in this scenario.However,none of the proposed schemes achieves both high transmission efficiency and low computational complexity simultaneously so far.To address this problem,a novel Efficient Opportunistic Network Coding Retransmission(EONCR)scheme is proposed in this paper.This scheme employs a new packet scheduling algorithm which uses a Packet Distribution Matrix(PDM)directly to select the coded packets.The analysis and simulation results indicate that transmission efficiency of EONCR is over 0.1,more than the schemes proposed previously in some simulation conditions,and the computational overhead is reduced substantially.Hence,it has great application prospects in wireless broadcast networks,especially energyand bandwidth-limited systems such as satellite broadcast systems and Planetary Networks(PNs).

An Estimation of Achievable Rate for Digital Transmissions over MIMO Channels

Achievable rate (AR) is significant to communications. As to multi-input multi-output (MIMO) digital transmissions with finite alphabets inputs, which greatly improve the performance of communications, it seems rather difficult to calculate accurate AR. Here we propose an estimation of con-siderable accuracy and low complexity, based on Euclidean measure matrix for given channel states and constellations. The main contribution is explicit expression, non-constraints to MIMO schemes and channel states and constellations, and controllable estimating gap. Numerical results show that the proposition is able to achieve enough accurate AR computation. In addition the estimating gap given by theoretical deduction is well agreed.

“一带一路”国家能源投资的风险识别与传导——基于复杂网络方法

基于复杂网络理论,构建了能源投资风险指标体系,建立了风险识别模型,并通过103个共建“一带一路”国家2010-2019年数据实证分析了中国能源行业对外直接投资风险演变特征、趋势及时空传导路径。研究结果表明:腐败控制、政府效率、监管质量、法律规则以及社会稳定等指标是中国能源产业海外投资的关键风险点;十年间中国能源对外直接投资风险传导性不断增强,从单一国家的投资风险看,印度尼西亚、土耳其、巴西内部的投资风险环境更为复杂;基于最小生成树(MST)的风险传导路径长度表明,投资风险在欧洲中亚、中东北非以及撒哈拉以南非洲地区的传导路径变短,联系日益紧密,风险加速积聚。

物联网环境下复杂光纤通信传输网络节点调度

为了解决物联网环境下,光纤通信传输网络节点能耗高、调度效率低的问题,提出一种物联网环境下复杂光纤通信传输网络节点调度方法。在物联网环境下,分析光纤通信传输网络节点的分布情况,根据动态联盟理论,以最快调度速度和最小投资为目标,构建复杂光纤通信传输网络节点调度模型。通过蚁群和粒子群算法相结合的融合算法展开全部搜索,获取最佳调度方案,实现光纤通信传输网络节点调度。实验结果表明,所提方法的节点平均能耗在6.0 mJ以下,LBF值始终高于0.20,且节点调度耗时始终低于200 ms,具有良好的调度效果。

基于Pro/E的农机复杂零部件虚拟装配研究

首先,介绍了虚拟装配在复杂零部件上的定义和操作方法,在其基础上创建了虚拟装配系统平台;然后,设计了农机变速器复杂零部件的装配工艺,并利用Pro/E软件对其进行了仿真实验。实验结果表明:该系统装配仿真的步骤流程设计合理,可以实现对农机变速器的装配仿真,证明了系统的有效性。

考虑参数空间差异的复合式滑坡推力计算分析

由于复合式滑坡不同滑区同一岩土计算参数数值存在差异性,导致滑坡推力大小判别难度加大。根据复合式滑坡破坏模式,概化构建滑坡地质模型,在此基础上建立滑坡物理力学模型,并对各区参数进行理论分析。根据滑坡失稳特征以及前人对复合式滑坡演化阶段划分的研究,将滑坡演化过程划分为前后裂隙开裂、前后滑带局部软化、前后滑带扩展、中部滑带软化、边坡整体失稳5个阶段,基于传递系数法和静力平衡条件构建不同演化阶段下的滑坡推力计算式。以汉巴南铁路某复合式滑坡为例,揭示了滑坡推力随水平距离增加的变化规律,并将计算结果与不考虑不同滑区同一岩土计算参数数值差异得出的计算结果进行对比分析。研究结果表明:1)在计算复合式滑坡推力时,考虑不同滑区同一岩土计算参数数值差异性的影响,其计算结果更加准确,规避因单一取值而导致计算推力不合理等问题。2)根据复合式滑坡不同演化阶段下的推力变化规律,在滑坡初期应以推移区和牵引区加固为主,当中部锁固区开始滑动,应以中部锁固区加固为主,同时也要加强推移区和牵引区的加固。3)在识别复合式滑坡演化阶段的基础上,根据此阶段构建的滑坡推力计算式得出推力空间变化规律,从而可提出较为合理的防治措施。

端接复杂电路传输线网络的电磁耦合时域并行计算方法

针对端接复杂电路传输线(TL)网络的电磁耦合问题,仍缺乏高效的场路协同仿真技术。该文将传输线方程与时域有限差分(FDTD)方法、诺顿定理和置换定理以及NGSPICE软件相结合,并引入消息传递接口(MPI)并行技术,提出一种高效的时域混合并行算法(FDTDTL-NGSPICE)。首先,根据诺顿定理和置换定理,将传输线网络分解为传输线子系统和复杂电路子系统,并构建对应的等效电路模型。然后,使用FDTDTL并行算法计算传输线子系统沿线各点的电压和电流,并获取对应诺顿等效电路的电流源和等效导纳大小。最后,使用NGSPICE对复杂电路子系统进行传导干扰分析,获得复杂电路各元件上的瞬态响应,并将端口电压反馈给传输线子系统作为边界,实现传输线网络电磁耦合的场线路联合协同仿真。通过对3类典型场景的计算实例,分别使用时域混合并行算法和电磁仿真软件CST电缆工作室(CS)进行数值模拟并对比,验证所提算法的置信度。

复杂工况下航空电子通信网络数据传输延时补偿研究

为了解决航空电子通信网络数据在复杂工况下受到环境噪声干扰的影响大以及数据传输延时过大的问题,以复杂工况为背景,研究航空电子通信网络数据传输延时补偿。采用非线性变换算法分析通信网络数据状态,得到影响延时因素的离散性值及线性变化。建立数据传输延时状态模型,分析每个节点实时状态,计算数据传输状态和延时参数,并求解二者间的关系。将数据传输延时问题抽象为先到先服务的排队服务,并计算数据发送、到达速率与延时时间的关系。在此基础上,求解最大时间节点的实时延迟数值,按照延迟优先级顺序实行差值填补,完成数据传输延时补偿。结果表明,所提方法有良好的补偿精度和补偿效果,可降低航空电子通信的延迟时间,实现实时命令接收和消息传递功能,说明所提方法具有一定的实用价值。

结合邻居影响和资源分配的链路预测算法

传统的资源分配算法在进行链路预测时只考虑了共同邻居对资源分配的影响,却忽略了两个节点之间的二级节点对资源分配的影响。为了探究共同邻居和二级节点对预测两个节点之间连边存在可能性的影响,提出了一种结合邻居影响和资源分配的链路预测算法。实验结果表明,在多数网络中若两个节点接收更多由共同邻居分配给它们的资源,则可以提升预测它们之间连边存在可能性的准确率。在四个生态网络和一些平均聚类系数较低的网络中,若两个节点接收更多通过二级节点分配给它们的资源,则可以提升预测它们之间连边存在可能性的准确率。

基于功率外环附加阻尼控制的柔性直流抑制送端火电机组次同步振荡研究

利用柔性直流控制的灵活性抑制次同步振荡被广泛研究,但是对于有功、无功控制回路的抑制效果不同的机理解释很少。针对柔直近区火电机组的次同步振荡问题,提出一种基于功率外环附加阻尼控制的柔直抑制次同步振荡策略。通过对电气阻尼曲线负阻尼频段分析,结合柔直变流器控制特点,选取附加控制的最优位置,通过基于功率外环附加阻尼控制提高火电机组电气阻尼。然后,建立复转矩系数传递函数,分析有功、无功外环附加阻尼控制效果的强弱与柔直功率外环参数相关,主要是与传输有功、无功功率大小有关,揭示柔直功率外环d轴和q轴附加阻尼控制时对电气阻尼影响差异的机理。最后,通过PSCAD时域模型仿真验证分析的正确性。

武汉光谷大悦城高效制冷机房设计总结与探讨

从负荷计算、冷源设备配置、输配系统、控制策略等方面介绍了武汉光谷大悦城购物中心高效制冷机房的设计。该项目采用一级泵变流量系统,制冷机房全年平均设计能效比为5.2,制冷机房运行能效比达到5.54。对高效制冷机房能效比进一步提升的路径和手段进行了总结与探讨。

基于行波相位特征的海上风电柔直电缆故障保护方法的研究

电缆线路对行波的色散和衰弱性质会导致常规的行波法在电缆线路上的应用受到限制。文中提出一种适用于电缆线路的保护方案,该方案通过提取线路极线量进行相模变换,进而得到线模和地模行波分量构建整体保护方案。利用复小波Morlet获取故障模量中的相位信息,之后通过区内外故障的相位差异可以有效识别故障。基于PSCAD和Matlab仿真验证了该方法的有效性。与传统行波保护方案比较,该保护方案具有更强的耐受过阻能力。

基于降维粒子群的大电网断面功率极限计算方法

随着电力系统的发展,系统运行方式日益复杂。为了提高电力系统运行安全水平,提出一种基于降维粒子群的大电网断面功率极限计算方法。首先综合考虑大电网静态安全稳定约束和暂态稳定约束,建立断面功率极限计算模型;然后,提出了基于功率灵敏度的降维粒子群算法,根据功率灵敏度和聚合系数对可调节发电机组进行分群处理,利用降维粒子群算法计算得到了极限功率、发电机组功率调节量以及极限功率制约因素,实现了大电网断面功率极限的快速寻优。最后在我国某地区2128节点电网和我国某跨区12643节点联网中验证了该方法的有效性和正确性。

医联网下医源性风险偏差感知扩散模型及干预

首先,本研究从多重网络理论视角出发,构建医联网环境下医源性风险偏差感知多渠道扩散模型.该模型考虑了医联网环境下不同信息渠道之间医源性风险偏差感知扩散的交互影响;其次,得出区分医联网下医源性风险偏差感知在公众中扩散开来与否的阈值;最后,利用实际数据对所建立的理论模型进行参数估计及案例分析.研究结论表明:1)与仅进行正确认知的宣传推广相比,在正确认知宣传的同时进行认知纠偏,医联网下医源性风险偏差感知的扩散效率将降低的更加明显;2)与仅对一种或两种渠道中医源性风险偏差感知的扩散进行深度管控相比,如果同时对所有渠道中医源性风险偏差感知的扩散均进行适度干预,医源性风险偏差感知的扩散效率将更显著地降低.