Fake News Detection Based on Text-Modal Dominance and Fusing Multiple Multi-Model Clues

In recent years,how to efficiently and accurately identify multi-model fake news has become more challenging.First,multi-model data provides more evidence but not all are equally important.Secondly,social structure information has proven to be effective in fake news detection and how to combine it while reducing the noise information is critical.Unfortunately,existing approaches fail to handle these problems.This paper proposes a multi-model fake news detection framework based on Tex-modal Dominance and fusing Multiple Multi-model Cues(TD-MMC),which utilizes three valuable multi-model clues:text-model importance,text-image complementary,and text-image inconsistency.TD-MMC is dominated by textural content and assisted by image information while using social network information to enhance text representation.To reduce the irrelevant social structure’s information interference,we use a unidirectional cross-modal attention mechanism to selectively learn the social structure’s features.A cross-modal attention mechanism is adopted to obtain text-image cross-modal features while retaining textual features to reduce the loss of important information.In addition,TD-MMC employs a new multi-model loss to improve the model’s generalization ability.Extensive experiments have been conducted on two public real-world English and Chinese datasets,and the results show that our proposed model outperforms the state-of-the-art methods on classification evaluation metrics.

磁环境下AAO工艺中的微生物群落演替规律

将AAO反应器置于5 mT大小的平均磁场环境,文中研究了磁场对AAO工艺效能的影响,并从分子生物学的角度对其影响机理进行了初步探究。结果表明,在5 mT磁场环境下,AAO工艺启动阶段的平均总氮去除率有较明显提升,比对照组上升6%;AAO反应器启动时间较对照组缩短了5 d;AAO中以固氮螺旋菌(Azospira)为代表的反硝化菌群的相对丰度占比明显提升,丝硫菌属(Thiothrix)的相对丰度占比大幅降低,对污泥膨胀的抑制作用较明显;通过基因功能预测发现磁环境下细胞运动类基因相对丰度相对无磁场条件提升75%,膜运输类基因大幅下降,从而提高了AAO的启动速度,提升了脱氮效能。

A Multi-mode Electronic Load Sensing Control Scheme with Power Limitation and Pressure Cut-off for Mobile Machinery

In mobile machinery,hydro-mechanical pumps are increasingly replaced by electronically controlled pumps to improve the automation level,but diversified control functions(e.g.,power limitation and pressure cut-off)are integrated into the electronic controller only from the pump level,leading to the potential instability of the overall system.To solve this problem,a multi-mode electrohydraulic load sensing(MELS)control scheme is proposed especially considering the switching stability from the system level,which includes four working modes of flow control,load sensing,power limitation,and pressure control.Depending on the actual working requirements,the switching rules for the different modes and the switching direction(i.e.,the modes can be switched bilaterally or unilaterally)are defined.The priority of different modes is also defined,from high to low:pressure control,power limitation,load sensing,and flow control.When multiple switching rules are satisfied at the same time,the system switches to the control mode with the highest priority.In addition,the switching stability between flow control and pressure control modes is analyzed,and the controller parameters that guarantee the switching stability are obtained.A comparative study is carried out based on a test rig with a 2-ton hydraulic excavator.The results show that the MELS controller can achieve the control functions of proper flow supplement,power limitation,and pressure cut-off,which has good stability performance when switching between different control modes.This research proposes the MELS control method that realizes the stability of multi-mode switching of the hydraulic system of mobile machinery under different working conditions.

Multi-mode Multi-frequency GNSS-IR Combination System for Sea Level Retrieval

With the development of Global Navigation Satellite Systems(GNSS),geodetic GNSS receivers have been utilized to monitor sea levels using GNSS-Interferometry Reflectometry(GNSS-IR)technology.The multi-mode,multi-frequency signals of GPS,GLONASS,Galileo,and Beidou can be used for GNSS-IR sea level retrieval,but combining these retrievals remains problematic.To address this issue,a GNSS-IR sea level retrieval combination system has been developed,which begins by analyzing error sources in GNSS-IR sea level retrieval and establishing and solving the GNSS-IR retrieval equation.This paper focuses on two key points:time window selection and equation stability.The stability of the retrieval combination equations is determined by the condition number of the coefficient matrix within the time window.The impact of ill-conditioned coefficient matrices on the retrieval results is demonstrated using an extreme case of SNR data with only ascending or descending trajectories.After determining the time window and removing ill-conditioned equations,the multi-mode,multi-frequency GNSS-IR retrieval is performed.Results from three International GNSS Service(IGS)stations show that the combination method produces high-precision,high-resolution,and high-reliability sea level retrieval combination sequences.

AAO-MBBR工艺在农村生活污水中应用效果研究

【目的】研究农村污水处理新工艺AAO-MBBR模式运行最佳工况和其对污染物的处理效果。【方法】通过对比不同停留时间、不同内循环比、不同好氧池溶解氧质量浓度下污染物去除率,筛选出设备最佳运行参数,设置设备在最佳工况运行时,分析其对各污染物处理效果。【结果】改良后的AAO-MBBR新工艺在水力停留时间8 h、内循环比为300%、好氧池溶解氧质量浓度为2.5 mg/L时,污染物去除效果最佳。在最佳工况运行时,设备对SS(悬浮物)、COD(化学需氧量)、BOD(生物需氧量)、NH_(3)-N(氨氮量)和TP(总磷量)的去除率分别为80%、85%、91%、84.5%和46%,处理效果显著高于其他污水处理设备。【结论】改良AAO-MBBR工艺一体化污水处理设备污染物去除效果较好。

岷沱江标准下AAO+DNBF与Phoredox工艺TN达标应用对比

岷沱江标准下较多污水厂提标和新扩建采用了三级反硝化生物滤池(DNBF)工艺,DNBF具有极限脱氮(TN质量浓度≤3 mg/L)的优势,但也存在活性污泥、SS等导致的滤料板结及生物堵塞等常见问题。而二级生化Phoredox工艺投加碳源可以实现深度脱氮NO-3-N<2 mg/L,其充分挖掘了二级生物处理段的脱氮能力,简化了脱氮工艺流程,但国内工程案例较少。以四川某污水处理厂为例,对AAO+DNBF与Phoredox两种工艺脱氮效果进行了对比,并结合工艺脱氮原理、设计参数、实际处理水量、TN出水水质、碳源选择及投加量等分析,发现投加外部碳源情况下两种工艺都可以实现TN达标,Phoredox工艺适应反硝化速率较低的高性价比复合碳源,且具有节省工程投资和碳源成本较低的优势(二期处理水量按2万m^(3)/d计,节省DNBF建设投资899万元,年节约碳源567.61 t,节省约68.82万元)。以TN为重难点的污水处理新建工程可以采用Phoredox强化脱氮工艺,提标工程可以采用AAO串联AO段的解决方案。

Method of Multi-Mode Sensor Data Fusion with an Adaptive Deep Coupling Convolutional Auto-Encoder

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the multi-mode features extracted synchronously by the CCAE were stacked and fed to the multi-channel convolution layers for fusion. Then, the fused data was passed to all connection layers for compression and fed to the Softmax module for classification. Finally, the coupling loss function coefficients and the network parameters were optimized through an adaptive approach using the gray wolf optimization (GWO) algorithm. Experimental comparisons showed that the proposed ADCCAE fusion model was superior to existing models for multi-mode data fusion.

AAO-IMABR耦合工艺在市政污水处理中的应用

针对市政污水COD浓度低,NH_(3)-N与TN浓度相对较高,碳氮比严重失衡的水质特点,采用AAO耦合重离子微孔膜曝气生物膜反应器(IMABR)工艺进行处理。工程运行结果表明:COD平均质量浓度从126 mg/L下降到12.2 mg/L,NH_(3)-N平均质量浓度从32.3 mg/L下降到0.05 mg/L,TN平均质量浓度从38.8 mg/L下降到7.75 mg/L,NH3-N与TN去除率分别高达99.8%和80%。AAO-IMABR耦合工艺不仅能实现同步硝化反硝化功能,脱氮效率高,而且运行成本较低,处理出水稳定达标。

夏冬两季AAO工艺微孔曝气系统性能测定与评价

以上海某城镇污水处理厂为研究对象,在夏冬两季通过好氧池沿程实地测试,对污染物去除效果和曝气系统性能进行系统测定与评价。结果表明,冬季水量负荷较夏季低,好氧池反应时间延长且充分曝气,抵消了低温对硝化的负面影响,因此,夏冬两季出水水质均达到《城镇污水处理厂污染物排放标准》(GB 18918—2002)一级A排放标准。与夏季相比,冬季生物处理工艺的需氧量更高,微孔曝气系统的氧传质效率更低,导致所需供气量更高,曝气效率更低。夏季和冬季供氧量比需氧量分别高38.99%和7.07%,夏季节能潜力较大。好氧池污染物浓度沿程下降,末端污染物浓度几乎不变,而末端溶解氧浓度远高于前端,说明末端的供氧并未用于COD_(Cr)氧化和氨氧化作用,存在过度曝气现象,因此,可适当降低好氧池末端供气量。

A Hand Features Based Fusion Recognition Network with Enhancing Multi-Modal Correlation

Fusing hand-based features in multi-modal biometric recognition enhances anti-spoofing capabilities.Additionally,it leverages inter-modal correlation to enhance recognition performance.Concurrently,the robustness and recognition performance of the system can be enhanced through judiciously leveraging the correlation among multimodal features.Nevertheless,two issues persist in multi-modal feature fusion recognition:Firstly,the enhancement of recognition performance in fusion recognition has not comprehensively considered the inter-modality correlations among distinct modalities.Secondly,during modal fusion,improper weight selection diminishes the salience of crucial modal features,thereby diminishing the overall recognition performance.To address these two issues,we introduce an enhanced DenseNet multimodal recognition network founded on feature-level fusion.The information from the three modalities is fused akin to RGB,and the input network augments the correlation between modes through channel correlation.Within the enhanced DenseNet network,the Efficient Channel Attention Network(ECA-Net)dynamically adjusts the weight of each channel to amplify the salience of crucial information in each modal feature.Depthwise separable convolution markedly reduces the training parameters and further enhances the feature correlation.Experimental evaluations were conducted on four multimodal databases,comprising six unimodal databases,including multispectral palmprint and palm vein databases from the Chinese Academy of Sciences.The Equal Error Rates(EER)values were 0.0149%,0.0150%,0.0099%,and 0.0050%,correspondingly.In comparison to other network methods for palmprint,palm vein,and finger vein fusion recognition,this approach substantially enhances recognition performance,rendering it suitable for high-security environments with practical applicability.The experiments in this article utilized amodest sample database comprising 200 individuals.The subsequent phase involves preparing for the extension of the method to larger databases.

基于STOAT污水厂AAO工艺不同回流比的模拟与优化

利用STOAT软件模拟北方某污水厂厌氧-缺氧-好氧(AAO工艺)的处理效果,探究不同回流比对总氮、氨氮、总磷、化学需氧量(COD)、悬浮物(SS)去除的影响,并分析最优回流比。结果表明:STOAT软件能准确真实地模拟污水处理厂的AAO处理工艺;通过模拟分析,回流比对COD和SS的影响较小,总氮的去除率随着回流比的同步增大而增大,总磷的去除主要受污泥回流比的影响。当污泥回流比为80%,混合液回流比为400%时为最优运行工况,总氮、氨氮、总磷的去除率可达到79%、98.02%、92.33%。优化前后总氮、氨氮、总磷的去除效率均有明显提升,该方法可为优化北方污水厂AAO工艺的运行提供技术参考。

AAO工艺运行过程中浮泥过多原因分析与改进

农村生活污水特点是COD浓度低、氨氮浓度高,碳氮比失衡。碳源和溶解氧是反硝化反应的关键因素,碳源不足和溶解氧控制不好,会导致缺氧池反硝化反应不完全,硝化液直接进入沉淀池,如果沉淀池排泥效果差,污泥不及时,容易发生反硝化反应,导致浮泥过多。所以需要从改善排泥和提高反硝化效果两方面去解决浮泥过多的问题。

基于AAO-MBBR工艺的农村生活污水处理工程设计实例

农村生活污水主要为淋浴、冲厕、洗涤及其他用途的排放废水。针对农村污水处理规模小、水量水质波动大、可生化较好等特点,设计采用AAO-MBBR工艺及其地埋式一体化设备。工程运行结果表明:出水COD_(Cr)、BOD_(5)、NH_(3)-N、SS、TP、TN的平均质量浓度分别为19.5、5.25、1.87、6.15、0.32、13.13 mg/L,出水水质能稳定达到《城镇污水处理厂污染物排放标准》(GB18918-2002)一级A标准。介绍了该处理工艺的流程及特点,给出了主要设计参数及投资运行成本。

Multi-modal knowledge graph inference via media convergence and logic rule

Media convergence works by processing information from different modalities and applying them to different domains.It is difficult for the conventional knowledge graph to utilise multi-media features because the introduction of a large amount of information from other modalities reduces the effectiveness of representation learning and makes knowledge graph inference less effective.To address the issue,an inference method based on Media Convergence and Rule-guided Joint Inference model(MCRJI)has been pro-posed.The authors not only converge multi-media features of entities but also introduce logic rules to improve the accuracy and interpretability of link prediction.First,a multi-headed self-attention approach is used to obtain the attention of different media features of entities during semantic synthesis.Second,logic rules of different lengths are mined from knowledge graph to learn new entity representations.Finally,knowledge graph inference is performed based on representing entities that converge multi-media features.Numerous experimental results show that MCRJI outperforms other advanced baselines in using multi-media features and knowledge graph inference,demonstrating that MCRJI provides an excellent approach for knowledge graph inference with converged multi-media features.

Generative Multi-Modal Mutual Enhancement Video Semantic Communications

Recently,there have been significant advancements in the study of semantic communication in single-modal scenarios.However,the ability to process information in multi-modal environments remains limited.Inspired by the research and applications of natural language processing across different modalities,our goal is to accurately extract frame-level semantic information from videos and ultimately transmit high-quality videos.Specifically,we propose a deep learning-basedMulti-ModalMutual Enhancement Video Semantic Communication system,called M3E-VSC.Built upon a VectorQuantized Generative AdversarialNetwork(VQGAN),our systemaims to leverage mutual enhancement among different modalities by using text as the main carrier of transmission.With it,the semantic information can be extracted fromkey-frame images and audio of the video and performdifferential value to ensure that the extracted text conveys accurate semantic information with fewer bits,thus improving the capacity of the system.Furthermore,a multi-frame semantic detection module is designed to facilitate semantic transitions during video generation.Simulation results demonstrate that our proposed model maintains high robustness in complex noise environments,particularly in low signal-to-noise ratio conditions,significantly improving the accuracy and speed of semantic transmission in video communication by approximately 50 percent.

多段AAO污水处理厂精确曝气系统设计与调试

为了能够更好地解决污水处理过程中经常遇到的曝气不足、出水氨氮超标,曝气过量反硝化不好导致的总氮超标、能耗浪费等问题,以深圳市某污水处理厂多段AAO处理工艺为研究对象,介绍了在生化池中引入精确曝气系统的设计和调试情况,并结合实际运行情况对精确曝气控制系统的效用进行了分析和总结。

改良AAO+深床反硝化滤池工艺用于污水处理厂提标改造

成都平原某镇地处岷江流域水质重点控制区域,按照《四川省岷江、沱江流域水污染物排放标准》(DB51/2311-2016),需对该地现状2座污水处理厂进行提标技术改造。技改主体工艺是将原CASS池改良为AAO+深床反硝化滤池+高密度沉淀池,建成运行2 a后发现,该工艺安全可靠,全流程出水稳定达标,处理吨水成本1.56元/m^(3),优于大部分污水处理厂。

基于AAO工艺城镇污水处理厂减污降碳路径分析

本文通过基于AAO工艺的城镇污水处理厂减污降碳路径的分析,探讨了相关技术和措施对环境保护的积极影响。首先,分析了城镇污水处理厂的特点和存在的减污降碳问题。其次,提出了基于AAO工艺的减污降碳路径。该路径包括了优化污水处理工艺、提高能源利用效率、实施资源回收利用等方面的措施。然后,通过案例分析和数值模拟,验证了该路径的可行性和有效性。最后,总结了该研究的主要结论和意义,为城镇污水处理厂的减污降碳提供了理论依据和技术支持。

AAO+MBR+化学沉淀除磷工艺在高磷生活污水中的工程应用

针对湖北省某磷化工厂高磷浓度且含量复杂的生活污水及当地严格的排放限值要求,该工程采用了AAO+MBR+化学沉淀法工艺,主体处理规模120 m^(3)/d,MBR膜工艺处理规模80 m^(3)/d。工程运行情况显示,该工艺处理效果良好,出水水质优于GB 18918—2002《城镇污水处理厂污染物排放标准》一级A标准,总磷及氟化物等均满足环保达标要求,能有效削减排入汉江的污染物负荷。工程运营成本为1.3399元/m^(3),对于沿江磷化工厂同类型生活污水的处理具有较高的推广应用价值。

小型城镇污水处理厂中多模式AAO工艺的应用

随着时代的进步,城镇生活污水的来源越来越多,利用传统污水处理方式处理的效果日益降低,将多种污水处理技术相结合发挥各自的优点成为新的趋势。在此背景下,以某污水处理项目为分析对象,对于“AAO深度处理工艺”组合型技术应用至此项目中的优势以及可能出现的问题进行分析与探讨,结果表明,使用该技术进行污水处理能达到不错的效果,同时增加了一定的经济效益。