Enhancing Data Forwarding Efficiency in SIoT with Multidimensional Social Relations

Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this problem.The proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among nodes.Three new metrics are defined:the intensity of node social relationships,node activity,and community connectivity.Within the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node activity.When a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between communities.The proposed algorithm was compared to three existing routing algorithms in simulation experiments.Results indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.

A fast forward computational method for nuclear measurement using volumetric detection constraints

Owing to the complex lithology of unconventional reservoirs,field interpreters usually need to provide a basis for interpretation using logging simulation models.Among the various detection tools that use nuclear sources,the detector response can reflect various types of information of the medium.The Monte Carlo method is one of the primary methods used to obtain nuclear detection responses in complex environments.However,this requires a computational process with extensive random sampling,consumes considerable resources,and does not provide real-time response results.Therefore,a novel fast forward computational method(FFCM)for nuclear measurement that uses volumetric detection constraints to rapidly calculate the detector response in various complex environments is proposed.First,the data library required for the FFCM is built by collecting the detection volume,detector counts,and flux sensitivity functions through a Monte Carlo simulation.Then,based on perturbation theory and the Rytov approximation,a model for the detector response is derived using the flux sensitivity function method and a one-group diffusion model.The environmental perturbation is constrained to optimize the model according to the tool structure and the impact of the formation and borehole within the effective detection volume.Finally,the method is applied to a neutron porosity tool for verification.In various complex simulation environments,the maximum relative error between the calculated porosity results of Monte Carlo and FFCM was 6.80%,with a rootmean-square error of 0.62 p.u.In field well applications,the formation porosity model obtained using FFCM was in good agreement with the model obtained by interpreters,which demonstrates the validity and accuracy of the proposed method.

Estimation of Displacement and Extension due to Reverse Drag of Normal Faults: Forward Method

In the case of reverse drag of normal faulting, the displacement and horizontal extension are determined based on the established equations for the three mechanisms: rigid body, vertical shear and inclined shear. There are three sub-cases of basal detachment for the rigid body model: horizontal detachment, antithetic detachment and synthetic detachment. For the rigid body model, the established equations indicate that the total displacement on the synthetic base (Dt2) is the largest, that on the horizontal base (Dt1) is moderate, and that on the antithetic base (Dt3) is the smallest. On the other hand, the value of (Dt1) is larger than the displacement for the vertical shear (Dt4). The value of (Dt1) is larger than or less than the displacement for the inclined shear (Dt5) depending on the original fault dip δ0, bedding angle θ, and the angle of shear direction β. For all original parameters, the value of Dt5 is less than the value of Dt4. Also, by comparing three rotation mechanisms, we find that the inclined shear produces largest extension, the rigid body model with horizontal detachment produces the smallest extension, and the vertical shear model produces moderate extension.

An efficient method for constructing a random insertional mutant library for forward genetics in Nannochloropsis oceanica

Insertional mutation,phenotypic evaluation,and mutated gene cloning are widely used to clone genes from scratch.Exogenous genes can be integrated into the genome during non-homologous end joining(NHEJ)of the double-strand breaks of DNA,causing insertional mutation.The random insertional mutant library constructed using this method has become a method of forward genetics for gene cloning.However,the establishment of a random insertional mutant library requires a high transformation efficiency of exogenous genes.Many microalgal species show a low transformation efficiency,making constructing random insertional mutant libraries difficult.In this study,we established a highly efficient transformation method for constructing a random insertional mutant library of Nannochloropsis oceanica,and tentatively tried to isolate its genes to prove the feasibility of the method.A gene that may control the growth rate and cell size was identified.This method will facilitate the genetic studies of N.oceanica,which should also be a reference for other microalgal species.

Exploring the Relationship Between Patent Forward Citation and Stock Return Rate Using Empirical Data of China Stock Market

A novel indicator called price-citation was proposed.Based on the company integrated patent database of China listed companies of common stocks(A-shares)with the stock price and the stock return rate data,more than two thousand of A-shares from 2017 to 2020 were selected.The effect of the traditional patent forward citation and the price-citation for discriminating the stock return rate was thoroughly analyzed via ANOVA.The A-shares of forward citation counts above the average showed higher stock return rate means than the A-shares having patents but receiving no forward citations.The price-citation,combining both the financial and patent attributes,defined as the multiplication of the current stock price and the currently receiving forward citation count,showed its excellence in discriminating the stock return rate.The A-shares of higher price-citation showed significantly higher stock return rate means while the A-shares of lower price-citation showed significantly lowest stock return rate means.The price-citation effect had not been changed by COVID-19 though COVID-19 affected the social and economic environment to a considerable extent in 2020.

Application Strategy of BIM Technology in the Forward Design of Bridges

Bridge engineering is highly specialized and has spatial characteristics,which puts forward higher requirements for design work.The advancement of information technology has provided ample tools to facilitate bridge design work,with building information modeling(BIM)technology being one of them.BIM technology ensures the efficiency and quality of the forward design of bridges,while also reducing construction costs.This article starts with defining the concept of BIM technology,followed by a discussion on its advantages in bridge design and application process,which serves as a reference for other bridge designers.

威斯康星大学发展战略规划2020 Forward专项考察

基于美国威斯康星大学2020 Forward专项的考察结果显示:实施大学发展战略规划在价值逻辑层面呈现校园文化传统、绩效管理工具和危机应对方案三重意蕴;在行动要素层面有赖于目标体系、主体网络和保障机制的协同增效;在反馈闭环层面应形成“目标回溯-措施谋划-评价措施-行动成果-评估成效”的系统耦合。威斯康星2020 Forward的实践经验表明,战略思维、目标分解、全员参与和有效评估是大学发展战略规划精准落地、高效实施的四个关键原则。

Forward stagewise regression with multilevel memristor for sparse coding

Sparse coding is a prevalent method for image inpainting and feature extraction,which can repair corrupted images or improve data processing efficiency,and has numerous applications in computer vision and signal processing.Recently,sev-eral memristor-based in-memory computing systems have been proposed to enhance the efficiency of sparse coding remark-ably.However,the variations and low precision of the devices will deteriorate the dictionary,causing inevitable degradation in the accuracy and reliability of the application.In this work,a digital-analog hybrid memristive sparse coding system is pro-posed utilizing a multilevel Pt/Al_(2)O_(3)/AlO_(x)/W memristor,which employs the forward stagewise regression algorithm:The approxi-mate cosine distance calculation is conducted in the analog part to speed up the computation,followed by high-precision coeffi-cient updates performed in the digital portion.We determine that four states of the aforementioned memristor are sufficient for the processing of natural images.Furthermore,through dynamic adjustment of the mapping ratio,the precision require-ment for the digit-to-analog converters can be reduced to 4 bits.Compared to the previous system,our system achieves higher image reconstruction quality of the 38 dB peak-signal-to-noise ratio.Moreover,in the context of image inpainting,images containing 50%missing pixels can be restored with a reconstruction error of 0.0424 root-mean-squared error.

3D forward modeling and response characteristics of low-resistivity overburden of the CFS-PML absorbing boundary for ground-well transient electromagnetic method

This study used the stable and convergent Dufort-Frankel method to differentially discretize the diffusion equation of the ground-well transient electromagnetic secondary field.The absorption boundary condition of complex frequency-shifted perfectly matched layer(CFS-PML)was used for truncation so that the low-frequency electromagnetic wave can be better absorbed at the model boundary.A typical three-dimensional(3D)homogeneous half-space model was established and a low-resistivity cube model was analyzed under the half-space condition.The response patterns and drivers of the low-resistivity cube model were discussed under the influence of a low-resistivity overburden.The absorption boundary conditions of CFS-PML significantly affected the low-frequency electromagnetic waves.For a low-resistivity cube around the borehole,its response curve exhibited a single-peak,and the extreme point of the curve corresponded to the center of the low-resistivity body.When the low-resistivity cube was directly below the borehole,the response curve showed three extreme values(two high and one low),with the low corresponding to the center of the low-resistivity body.The total field response of the low-resistivity overburden was stronger than that of the uniform half-space model due to the low-resistivity shielding effect of electromagnetic waves.When the receiving-transmitting distance gradually increased,the effect of the low-resistivity overburden was gradually weakened,and the response of the low-resistivity cube was strengthened.It was affected by the ratio of the overburden resistivity to the resistivity of the low-resistivity body.

Entry-Level Forward Surgical Team Training Is Associated with Increased Confidence of Primary Combat Surgeons

Background: In recent years, we have established an entry-level Forward Surgical Team (FST) training program in a Chinese military medical university for the 5th grade undergraduates, who would be deployed to different military medical services as primary combat surgeons. This study aimed to assess the role of this pre-service training in improving their confidence with combat medical skills, after several years since they received the training. Methods: We conducted a nationwide survey of 239 primary combat surgeons who have ever participated in an entry-level FST training program before deployment between June 2016 and June 2020, which was for evaluating on a 5-point Likert scale the benefits of entry-level FST training and conventional surgery training in improving their confidence with combat medical skills. The difference in scores was compared using the student t-test. Significance was considered as P Results: The total score was significantly higher for entry-level FST training than that for conventional surgery training (30.76 ± 4.33 vs. 28.95 ± 4.80, P There was no significant difference between the training for surgical skills confidence scores (18.03 ± 8.04 vs. 17.51 ± 8.30, P = 0.098), but for non-technical skills, the score of entry-level FST training was significantly higher than that of conventional surgery training (12.73 ± 5.39 vs. 11.44 ± 5.62, P The distributions of confidence scores were different under various subgroups by demographics. There were no significant differences in scores between the two training in all specific surgical skill sets except “life-saving surgery” (P = 0.011). Scores of all 4 non-technical skill sets were significantly higher for entry-level FST than those for conventional surgery training (P Conclusions: The training should be considered as an essential strategy to improve confidence in combat medical skills, especially life-saving surgery and non-technical skills, for primary combat surgeons.

THE REGULARIZED SOLUTION APPROXIMATION OF FORWARD/BACKWARD PROBLEMS FOR A FRACTIONAL PSEUDO-PARABOLIC EQUATION WITH RANDOM NOISE

This paper deals with the forward and backward problems for the nonlinear fractional pseudo-parabolic equation ut+(-Δ)^(s1)ut+β(-Δ)^(s2)u=F(u,x,t)subject o random Gaussian white noise for initial and final data.Under the suitable assumptions s1,s2andβ,we first show the ill-posedness of mild solutions for forward and backward problems in the sense of Hadamard,which are mainly driven by random noise.Moreover,we propose the Fourier truncation method for stabilizing the above ill-posed problems.We derive an error estimate between the exact solution and its regularized solution in an E‖·‖Hs22norm,and give some numerical examples illustrating the effect of above method.

Looking Forward To Oil

China is playing a major role in Uganda’s oil industry development Although oil in Uganda was first discovered in 1925 during the colonial era,it was not until recently that its exploration and plans to exploit the black gold commercially began in earnest.In November 2022,the country’s Minister of Energy and Mineral Development Ruth Nankabirwa Ssentamu said at a conference in Abu Dhabi,“I hope that by April 2025,we shall see the first oil.”

“携手前进”与推动绿色、数字经济发展--新加坡2023年回顾与2024年展望

2023年,政治方面,尚达曼当选新加坡第9任总统,新加坡政党多元性得到强化。以副总理兼财政部部长黄循财为核心的第四代领导团体通过《新加坡携手前进》报告,逐步明确新加坡未来发展蓝图。外交方面,新加坡坚持“大国平衡”和立足东盟的外交政策,与中国建立了全方位高质量的前瞻性伙伴关系。经济方面,受制造业和货物贸易增长放缓的影响,新加坡经济增速趋缓,仅实现约1%的增长,但旅游业稳健复苏,数字经济和绿色经济的快速发展成为经济发展的新动能;新加坡仍坚持贸易立国,与中国签署《关于进一步升级〈自由贸易协定〉的议定书》,与南方共同市场正式签署《南方共同市场—新加坡自由贸易协定》,进一步织密了自由贸易网络。文化方面,通过《新加坡文化遗产计划2.0》、“年轻变革者文化遗产启动津贴”等实现了文化遗产的创新开发利用,增强了新加坡国民的身份认同。展望2024年,新加坡将稳定推动领导权力的交接,第四代领导团体将继续通过“新加坡携手前进”议程进一步明确未来发展方向,并凝聚共识,助力下一届大选;将继续坚持“大国平衡”和立足东盟的外交政策,积极拓展国际合作空间;经济方面预计将实现1.0%~3.0%的增长。

一种星载高效率电源的样机研制

针对星载合成孔径雷达电源高效率抗辐射的需求,对适用于星载领域的各种电源拓朴结构进行了对比分析,提出一种同步整流正激变换器拓扑方案。该方案采用单管栅极电荷保持驱动拓扑,解决了变压器死区时间续流管驱动问题,并对电路原理以及抗辐射加固方法进行详细说明,给出电路组成、关键器件和参数计算方法。根据所提方案制作了一台输入50 V~70 V、输出5 V/6 A的样机。实验结果表明:该电源具有高效率和抗辐射的特点,验证了技术方案的准确性,可以满足星载电源的需求。

基于区块链的前向安全群签名方案

针对当前群签名算法的中心化问题和依赖于可信第三方的局限性,提出一种基于区块链的前向安全群签名方案。该方案通过智能合约替代传统的可信第三方角色,旨在解决单点故障和缺乏可信第三方的问题;提出一种群管理员代理签名机制,利用哈希值将原始签名存证于区块链以增强数据的不可篡改性和安全性;通过基础方案、加方案和乘方案设计安全时间为T=2^(k)的前向安全性群签名算法。理论分析和实验验证的结果表明,该方案提高了群签名的安全性和效率。该研究为解决群签名的中心化问题提供了新思路。

Feed-Forward Neural Network Based Petroleum Wells Equipment Failure Prediction

In the oil industry, the productivity of oil wells depends on the performance of the sub-surface equipment system. These systems often have problems stemming from sand, corrosion, internal pressure variation, or other factors. In order to ensure high equipment performance and avoid high-cost losses, it is essential to identify the source of possible failures in the early stage. However, this requires additional maintenance fees and human power. Moreover, the losses caused by these problems may lead to interruptions in the whole production process. In order to minimize maintenance costs, in this paper, we introduce a model for predicting equipment failure based on processing the historical data collected from multiple sensors. The state of the system is predicted by a Feed-Forward Neural Network (FFNN) with an SGD and Backpropagation algorithm is applied in the training process. Our model’s primary goal is to identify potential malfunctions at an early stage to ensure the production process’ continued high performance. We also evaluated the effectiveness of our model against other solutions currently available in the industry. The results of our study show that the FFNN can attain an accuracy score of 97% on the given dataset, which exceeds the performance of the models provided.

高速列车顶层设计指标分解研究现状与展望

顶层设计指标分解是决定高速列车正向设计周期长短和成功与否的首要环节.首先,在阐述运输能力、安全舒适、绿色环保、经济性等高速列车顶层设计指标的基础上,从系统结构组成、运行边界条件以及大系统耦合作用等角度提出高速列车顶层设计指标分解所面临的技术挑战;然后,论述设计指标分解方法、设计指标分解关联模型和设计指标分解协调策略3个方面研究现状,并分析现有方法的不足与新需求;最后,展望群落生态学在高速列车顶层设计指标分解中的适用性,剖析基于群落生态学的高速列车顶层设计指标分解将会面临的关键问题,并给出相应的解决技术路线,以期为高速列车顶层设计指标分解的深入研究和实践提供参考.

新工科背景下“正/逆向设计加工”课程实践体系的探索与实践

阐述了长安大学现代工程训练中心建立的“正/逆向设计加工”课程实践体系的主要内容和实施效果。体系以教学融合+创新实践的方法进行构建,融合“CAD”“3D打印”“逆向工程”“CNC数控加工”等知识内容,采用递进式教学打破课程孤岛,鼓励学生自主创造,坚持全贯穿式教学实践环境。为培养新工科背景下的智能制造复合型人才提供了新型教学思路,对推动高校工程训练教学改革具有一定的借鉴意义。

武器装备轻量化结构正向设计方法及应用

为满足武器装备轻量化的迫切需求,提升装备结构优化设计水平,提出了一种代理模型辅助多目标优化的结构正向设计方法。按照从概念设计到参数优化设计的流程,通过优化信息交互和代理模型重构来实现结构多目标优化设计。以轻型车载高炮弹箱架优化设计为例,首先,根据拓扑优化获得的最佳传力路径,建立几何模型和有限元分析模型。其次,通过灵敏度分析缩减设计变量,建立以一阶模态频率和结构强度为约束、最小化质量和最大化刚度为目标的优化模型。然后,使用差分进化算法求解基于Kriging模型的多目标优化问题;在优化过程中,通过比较中间优化结果调整优化模型,并采用基于期望改进的填充样本策略重构代理模型。最后,兼顾结构轻量化和安全,筛选44组优化解中的3组优势方案与初始设计进行比较,结果显示:在满足弹箱架结构性能的前提下,重量分别可减轻31.2%、24.7%和21.8%;所提结构正向设计方法能够明显提升轻量化效果,也可为相关结构优化设计提供参考。

基于大语言模型的BIM正向设计问答系统研究

在正向设计中,设计人员能够通过BIM技术进行设计和管理建筑项目,以支持决策。然而,BIM正向设计过程中的信息处理和知识共享仍面临诸多挑战,尤其是在快速获取和应用复杂建筑规范及设计知识方面。为解决上述问题,本研究基于大语言模型(LLM)设计了一套BIM正向设计问答系统,旨在探究LLM在BIM正向设计场景中的实际应用。通过采用基于QLoRA的LLM微调方式提高模型的专业性,并构建本地知识库形成问答系统,最后设计评价指标对系统进行主客观性能评估、专业问答对比分析。实验结果表明,该系统在专业领域性能表现良好,并能根据特定设计场景生成建议和解决方案,验证了本系统的可行性和优越性。