Optimization of Cooperative RelayingMolecular Communications for Nanomedical Applications

Recently,nano-systems based on molecular communications via diffusion(MCvD)have been implemented in a variety of nanomedical applications,most notably in targeted drug delivery system(TDDS)scenarios.Furthermore,because the MCvD is unreliable and there exists molecular noise and inter symbol interference(ISI),cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells,especially if the separation distance between the nano transmitter and nano receiver is increased.In this work,we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme,while accounting for blood flow effects in terms of drift velocity.The fractions of the molecular drug that should be allocated to the nano transmitter and nano relay positioning are computed using a collaborative optimization problem solved by theModified Central Force Optimization(MCFO)algorithm.Unlike the previous work,the probability of bit error is expressed in a closed-form expression.It is used as an objective function to determine the optimal velocity of the drug molecules and the detection threshold at the nano receiver.The simulation results show that the probability of bit error can be dramatically reduced by optimizing the drift velocity,detection threshold,location of the nano-relay in the proposed nano system,and molecular drug budget.

Toward the Optimization of the Region-Based P300 Speller

Technology has tremendously contributed to improving communication and facilitating daily activities.Brain-Computer Interface(BCI)study particularly emerged from the need to serve people with disabilities such as Amyotrophic Lateral Sclerosis(ALS).However,with the advancements in cost-effective electronics and computer interface equipment,the BCI study is flourishing,and the exploration of BCI applications for people without disabilities,to enhance normal functioning,is increasing.Particularly,the P300-based spellers are among the most promising applications of the BCI technology.In this context,the region-based paradigm for P300 BCI spellers was introduced in an effort to reduce the crowding effect and adjacency problem that might affect the detection of P300 peak.This study extends this line of research by investigating the effect,in terms of accuracy and usability,of the letters’distribution among the speller’s regions.For this purpose,a clustering algorithm is proposed,and two region-based layouts were generated by redistributing the letters based on their dissimilarity or their similarity.A pilot usability evaluation was also conducted in order to assess the usability of the different layouts in terms of effectiveness,efficiency,and satisfaction.The results indicate that the distribution of the letters has an effect on the classification accuracy as well as the user experience.Particularly,when considering short-term accuracy and cognitive effort,the original region-based layout outperforms other layouts.

A Novel Approach towards Cost Effective Region-Based Group Key Agreement Protocol for Ad Hoc Networks Using Elliptic Curve Cryptography

This paper addresses an interesting security problem in wireless ad hoc networks: the dynamic group key agreement key establishment. For secure group communication in an ad hoc network, a group key shared by all group members is required. This group key should be updated when there are membership changes (when the new member joins or current member leaves) in the group. In this paper, we propose a novel, secure, scalable and efficient region-based group key agreement protocol for ad hoc networks. This is implemented by a two-level structure and a new scheme of group key update. The idea is to divide the group into subgroups, each maintaining its subgroup keys using group elliptic curve diffie-hellman (GECDH) Protocol and links with other subgroups in a tree structure using tree-based group elliptic curve diffie-hellman (TGECDH) protocol. By introducing region-based approach, messages and key updates will be limited within subgroup and outer group;hence computation load is distributed to many hosts. Both theoretical analysis and experimental results show that this Region-based key agreement protocol performs well for the key establishment problem in ad hoc network in terms of memory cost, computation cost and communication cost.

REGION-BASED ACTIVE CONTOUR DRIVEN BY GLOBAL INTENSITY FITTING ENERGY

In this paper, we present a novel region-based active contour model based on global in-tensity fitting energy in a variational level set framework. Meanwhile, an internal energy term is in-troduced, and it forces the level set function to be close to a signed distance function. Image global information utilized efficiently makes the proposed model insensitive to noise, and the introduced penalty term can avoid the costly re-initialization for the evolving level set function, which not only speeds up the contour evolvement, but also improves accuracy of the final contour. Comparisons with other classical region-based models, such as Chan-Vese model and Region-Scalable Fitting (RSF) model, show the advantages of our model in terms of efficiency and accuracy. Moreover, the model is robust to noise.

Novel region-based image compression method based on spiking cortical model

To get the high compression ratio as well as the high-quality reconstructed image, an effective image compression scheme named irregular segmentation region coding based on spiking cortical model（ISRCS） is presented. This scheme is region-based and mainly focuses on two issues. Firstly, an appropriate segmentation algorithm is developed to partition an image into some irregular regions and tidy contours, where the crucial regions corresponding to objects are retained and a lot of tiny parts are eliminated. The irregular regions and contours are coded using different methods respectively in the next step. The other issue is the coding method of contours where an efficient and novel chain code is employed. This scheme tries to find a compromise between the quality of reconstructed images and the compression ratio. Some principles and experiments are conducted and the results show its higher performance compared with other compression technologies, in terms of higher quality of reconstructed images, higher compression ratio and less time consuming.

Ozone Depletion Identification in Stratosphere Through Faster Region-Based Convolutional Neural Network

The concept of classification through deep learning is to build a model that skillfully separates closely-related images dataset into different classes because of diminutive but continuous variations that took place in physical systems over time and effect substantially.This study has made ozone depletion identification through classification using Faster Region-Based Convolutional Neural Network(F-RCNN).The main advantage of F-RCNN is to accumulate the bounding boxes on images to differentiate the depleted and non-depleted regions.Furthermore,image classification’s primary goal is to accurately predict each minutely varied case’s targeted classes in the dataset based on ozone saturation.The permanent changes in climate are of serious concern.The leading causes beyond these destructive variations are ozone layer depletion,greenhouse gas release,deforestation,pollution,water resources contamination,and UV radiation.This research focuses on the prediction by identifying the ozone layer depletion because it causes many health issues,e.g.,skin cancer,damage to marine life,crops damage,and impacts on living being’s immune systems.We have tried to classify the ozone images dataset into two major classes,depleted and non-depleted regions,to extract the required persuading features through F-RCNN.Furthermore,CNN has been used for feature extraction in the existing literature,and those extricated diverse RoIs are passed on to the CNN for grouping purposes.It is difficult to manage and differentiate those RoIs after grouping that negatively affects the gathered results.The classification outcomes through F-RCNN approach are proficient and demonstrate that general accuracy lies between 91%to 93%in identifying climate variation through ozone concentration classification,whether the region in the image under consideration is depleted or non-depleted.Our proposed model presented 93%accuracy,and it outperforms the prevailing techniques.

Arbitrary Decode-Forward Relaying with Re-Encoded Bits Selection Strategy for Polar Codes

In this paper,we propose an arbitrary decode-forward single-relay scheme for finite blocklength polar codes,which can be applied to the general symmetric discrete memoryless relay channel with orthogonal receiver components.The relay node decodes the received message.The relay node selectively re-encodes the message and transmits it to the destination node.Furthermore,in order to minimize the upper-bound of the block error probability,we propose a selection strategy to decide the proper re-encoded bit set by the relay.Simulation results are presented to illustrate the improvement in decoding performance of the proposed scheme compared to conventional relay schemes in both additive white Gaussian noise(AWGN)channel and Rayleigh fading channel(RFC).

Secure Wireless Multicasting through Nakagami-m Fading Channels with Multi-Hop Relaying

The additional diversity gain provided by the relays improves the secrecy capacity of communications system significantly. The multiple hops in the relaying system is an important technique to improve this diversity gain. The development of an analytical mathematical model of ensuring security in multicasting through fading channels incorporating this benefit of multi-hop relaying is still an open problem. Motivated by this issue, this paper considers a secure wireless multicasting scenario employing multi-hop relaying technique over frequency selective Nakagami-m fading channel and develops an analytical mathematical model to ensure the security against multiple eavesdroppers. This mathematical model has been developed based on the closed-form analytical expressions of the probability of non-zero secrecy multicast capacity (PNSMC) and the secure outage probability for multicasting (SOPM) to ensure the security in the presence of multiple eavesdroppers. Moreover, the effects of the fading parameter of multicast channel, the number of hops and eavesdropper are investigated. The results show that the security in multicasting through Nakagami-m fading channel with multi-hop relaying system is more sensitive to the number of hops and eavesdroppers. The fading of multicast channel helps to improve the secrecy multicast capacity and is not the enemy of security in multicasting.

继电保护远程运维系统报文合规检测及入侵阻断技术应用

继电保护远程运维中数据传输各环节存在网络入侵风险,现有安全措施未有效处理业务层风险,且存在风险阻断不及时等问题。为此,提出一种报文合规检测方法及入侵阻断技术,分析报文的对象、格式、业务逻辑和行为模式,建立报文合规规则库及不合规报文阻断策略,设计开发不合规报文阻断模块及“一键阻断”紧急控制模块。通过模拟仿真环境测试,结果表明,上述技术对不同类型异常报文进行的阻断效果与预期一致,可有效阻断非法入侵攻击,从而提高继电保护远程运维的安全性和稳定性。

中国式刑事证明结构:分段包干与选择性接力

1979年颁行的《刑事诉讼法》确立了我国分段包干与选择性接力的证明结构。它既体现在侦诉审关系中,也体现在上下审关系中。在这一结构中,公检法在各自主导的诉讼阶段只有调查程序和方式的差异,并无查证责任和目标的差异。后端办案机关有接力查证的责任。接力者具有依照法定证明标准选择是否接力的判断权,也有选择接力主体、范围和方法的裁量权。《刑事诉讼法》虽然历经多次修改,但均朝着优化结构的方向前行。我国刑事证明结构具有如下鲜明特色:一是事实认定权力的去中心主义,二是专门机关查证责任的同质化,三是查证范围认定权的单元化,四是“调查”真相演变为“接着查”真相,五是作为查明真相协助者的辩方。

多簧片结构的磁保持继电器多物理场刚柔耦合仿真模型建立和实验分析

多簧片结构的磁保持继电器衔铁转动引起的触点碰撞、弹跳现象使运动过程复杂,静、动态特性理论分析和仿真模型建立困难。以某型号多簧片结构的磁保持继电器为研究对象,理论分析结构拓扑及工作机理,考虑触点间切入深度,引入狄拉克函数和赫维赛德函数,解决簧片受力分散及触点由于碰撞、弹跳引起的作用力不连续问题;将簧片等效为悬臂梁,基于欧拉-伯努利梁理论建立触簧系统三簧片分段耦合动力学模型。利用Ansys Maxwell引入基于误差的自适应网格划分方法求解电磁机构静态特性;考虑触簧系统簧片运动变形效应,通过ADAMS基于模态理论,构建刚柔耦合动力学仿真模型。基于分段动力学思想,搭建电-磁-机械运动多物理场刚柔耦合仿真模型。利用高速摄像机、电流探头等设计磁保持继电器实验方案,搭建实验平台,测试并分析磁保持继电器触点吸合运动时间、触点压力、弹跳时间、线圈电流,并分析人工装配簧片引起触点压力不同使继电器动作过程存在的不一致性问题,验证该文所提多簧片结构的磁保持继电器特性分段耦合分析方法和多物理场刚柔耦合仿真模型的有效性。

基于等效序阻抗差异特征的低频输电线路差动保护优化方案

低频输电线路故障时,两侧短路电流均由模块化多电平矩阵变换器提供,两侧短路电流相角均受控且幅值相当,导致差动保护灵敏度严重下降。分析了低频输电系统定电压控制侧和功率控制侧的等效正、负序阻抗特征,指出因控制策略不同,系统故障时两侧等效正、负序阻抗特征存在明显差异。分析了低频输电线路区内和区外故障两侧保护装置测量到的等效序阻抗之间的差异性和相似性,基于此特征构建了两侧等效序阻抗差异指标,提出了基于等效序阻抗差异指标的差动保护制动系数优化方法。仿真结果表明,所提方案能够显著提升低频输电线路区内故障时差动保护的动作速度和动作灵敏性。

适用于逆变型分布式电源T 接的配电网线路纵联保护方案

针对逆变型分布式电源(IIDG)T接于配电网导致双端电流纵联差动保护难以适用的问题,提出一种基于线路端点正序电流的新型纵联保护方案。建立以并网点正序电压主导的IIDG压控电流源模型。根据线路本端保护测量所得正序电气量分别求解对端正序电流计算值。在此基础上,将同一端点测量值与计算值的相量差幅值作为保护动作量,并利用发生区、内外故障时保护动作量的差异形成故障识别判据。考虑计算误差及互感器传变误差对保护整定值的影响构建完整的保护方案。该方案在保护动作量计算过程中无须实时获取IIDG运行状态,仅在现有双端纵联通道内对线路两端的电气量进行通信即可准确识别区内、外故障,通信压力小。仿真结果表明所提保护方案可靠有效,受IIDG出力影响小且具备一定抗过渡电阻能力。

高比例分布式电源对配电网运行的影响及应对措施

随着国家“双碳”政策的提出,分布式电源呈现“点多面广、局部高密度并网”的发展态势,分布式电源大规模接入,将加速有源配电网形成,给配电网安全稳定运行带来较大影响,通过分析高比例分布式电源对四平地区配电网电压控制、电力电量平衡、负荷预测、继电保护及安全运行风险等影响,提出了分布式电源对配电网运行影响的主要原因,并结合现场实际工作经验,在分布式电源承载力、电压调整、分布式电源出力预测、继电保护及安全自动装置、配电网运行安全风险等方面有针对性地提出应对措施。

不同带宽行比对玉米/大豆带状间套作群体产量和氮素效率的影响

为明确玉米/大豆带状间套作的最优配置,大田试验条件下,以单作玉米(MM)和单作大豆(MS)为对照,设置5种不同带宽行比:2 m带宽玉豆行数比为2∶2(T1)、2.4 m带宽玉豆行数比为2∶3(T2)、2.4 m带宽玉豆行数比为2∶4(T3)、2.8 m带宽玉豆行数比为2∶3(T4)、2.8 m带宽玉豆行数比为2∶4(T5),研究不同带宽行比对玉米/大豆带状间套作群体产量和氮素利用效率的影响。结果表明,玉米籽粒产量总体上随着带宽增加呈现逐渐减少的趋势,大豆籽粒产量总体上随着带宽增加呈现逐渐增加的趋势;相同带宽条件下,随着玉米大豆行比增加,玉米籽粒产量下降,大豆籽粒产量增加;玉米和大豆的植株氮素吸收利用效率变化规律与籽粒产量基本相一致。与对照相比,T2有提高玉米和大豆的收获指数,增加氮素在玉米和大豆籽粒的分配比例、降低在茎秆的分配比例的趋势。综合产量、经济效益以及群体氮素吸收、分配和利用效率的表现,2.4 m带宽下种植2行玉米3行大豆为鄂西南山区玉米/大豆的最优间套作模式。

基于自编码器的动态协作中继系统

鉴于大多数现有端到端自编码器(AE)仅适用于点对点的通信场景,提出一种基于AE的动态协作通信系统,将基于深度学习的AE扩展到多点通信系统。构建了3个神经网络子系统,分别用于学习发送端、中继节点和接收端的最佳编码、传输和解码,通过三者的联合训练达到多点通信系统的最佳传输性能。其中,发送端和接收端使用一维卷积层进行信号特征的提取及学习,中继节点通过引入密集层和一维卷积层,支持放大转发(AF)和解码转发(DF)两种经典的中继协作方式。仿真实验表明,在加性高斯白噪声以及瑞利衰落信道条件下,提出的模型采用两种不同的协作方式,其误码性能均优于单一点到点通信系统,验证了系统方案的可行性和有效性。此外,该系统支持动态的节点拓扑结构,在无需额外训练的条件下,本系统支持中继节点数量实时变化。

基于SWIPT的能量收集WSN吞吐量性能分析及优化

针对能量收集无线传感器网络(wireless sensor network,WSN)中的两跳多中继传输问题,构建无线射频能量站(power beacon,PB)辅助的能量收集无线携能通信(simultaneous wireless information and power transfer,SWIPT)中继模型.在中继节点具有捕获源节点、环路自干扰和PB信号能量的特性下,推导目的节点采用选择式合并(selection combining,SC)、最大比合并(maximal ratio combining,MRC) 2种不同接收策略下的中断概率和吞吐量,继而在保障通信服务质量(quality of service,QoS)、PB发射功率、能量转化效率等多约束条件下,提出一种以吞吐量最大化为目标的联合优化时隙切换因子与功率分配因子的中继选择算法.仿真和数值结果显示:PB发射功率、时隙切换因子、天线数目、功率分配因子等参数对系统中断概率和吞吐量性能影响显著;当给定PB发射功率为6 dBW,天线数目为3根时,与随机中继选择算法和最大最小中继选择算法相比,本文算法在SC策略下的系统吞吐量增益分别为0.29、0.15 bit/(s·Hz),MRC策略下的吞吐量增益分别为0.32、0.16 bit/(s·Hz).

一种放电打火保护电路的设计

直流高压电源在制造及使用的过程中经常由于放电打火产生突变输出而损坏电源内部器件,进而造成频繁的维修更换。为解决这一问题,设计了一种用于直流高压电源的放电打火保护电路,可通过互感原理检测电源电路中出现的放电打火故障,并由保护电路产生放电打火信号,使可控硅与继电器工作,通过减法器电路实现高压电源输出的突变抑制,从而使得高压电源输出维持在安全电压值,并且可通过继电器调节抑制持续时间,时间结束后电压自动恢复到初始设定值。结果表明,放电打火检测装置电路结构合理、灵敏可靠,在实现放电打火保护功能的同时满足自恢复要求,为电源电路系统的安全运行提供了有力保障。

钯-手性磷酸接力催化的一锅三步串联反应合成手性四氢喹啉

设计钯-手性磷酸接力催化体系,以邻碘苯胺和苯基烯丙醇为原料,通过“一锅三步”串联反应高效合成手性2-苯基四氢喹啉,实验无需中间体分离,降低了手性四氢喹啉的合成难度并提高反应经济性,与单一催化反应相比,协同接力催化具有操作简单、反应高效等优点。将协同接力催化的科学前沿引入本科实验教学,融入节能减排和绿色化学等课程思政元素,能拓宽学生的科学视野,激发其学习兴趣并提升创新能力。此外,实验涵盖格氏反应、Heck反应、亚胺缩合反应、不对称氢转移反应等理论知识以及薄层色谱、柱层析色谱、旋转蒸发仪、核磁共振仪、高效液相色谱仪、旋光仪等分析分离设备的操作使用,能综合提升学生的理论水平、实验技能和科学思维能力,促进科研与教学相融合。

随钻中继式电磁波传输技术及应用研究

针对随钻条件下无线电磁波传输技术信号衰减大、传播距离短、信号频率低以及传输速率慢的难题,文章设计了基于准横电磁波(Transverse Electromagnetic Wave,TEM)激励模式的随钻中继式电磁波传输技术。该技术以钻杆作为传输载体,将电磁波在井内的随钻传输模型类比同轴线传输模型,通过使用多组载波频率,在提高传输速率的同时,利用中继接力扩展传输距离。该技术已通过不同地层环境的现场验证,是井下数据传输未来发展的重要方向。