AV-FDTI:Audio-visual fusion for drone threat identification

In response to the evolving challenges posed by small unmanned aerial vehicles(UAVs),which have the potential to transport harmful payloads or cause significant damage,we present AV-FDTI,an innovative Audio-Visual Fusion system designed for Drone Threat Identification.AV-FDTI leverages the fusion of audio and omnidirectional camera feature inputs,providing a comprehensive solution to enhance the precision and resilience of drone classification and 3D localization.Specifically,AV-FDTI employs a CRNN network to capture vital temporal dynamics within the audio domain and utilizes a pretrained ResNet50 model for image feature extraction.Furthermore,we adopt a visual information entropy and cross-attention-based mechanism to enhance the fusion of visual and audio data.Notably,our system is trained based on automated Leica tracking annotations,offering accurate ground truth data with millimeter-level accuracy.Comprehensive comparative evaluations demonstrate the superiority of our solution over the existing systems.In our commitment to advancing this field,we will release this work as open-source code and wearable AV-FDTI design,contributing valuable resources to the research community.

Integrating Zhuang Culture Into College English Audio-Visual Speaking Course:A Multicultural Perspective

Zhuang culture,a representative of the native ethnic culture of Guangxi,China,is of great significance to Chinese culture.In order to promote traditional culture,enrich the teaching content of College English Audio-Visual Speaking Course,and enhance the intercultural communication ability of college students,this paper,from a multicultural perspective,explores the classroom practices of integrating indigenous Zhuang cultural elements in College English Audio-Visual Speaking Course,providing new perspectives and reference for multicultural education in foreign languages.

Integrating Audio-Visual Features and Text Information for Story Segmentation of News Video

Video data are composed of multimodal information streams including visual, auditory and textual streams, so an approach of story segmentation for news video using multimodal analysis is described in this paper. The proposed approach detects the topic-caption frames, and integrates them with silence clips detection results, as well as shot segmentation results to locate the news story boundaries. The integration of audio-visual features and text information overcomes the weakness of the approach using only image analysis techniques. On test data with 135 400 frames, when the boundaries between news stories are detected, the accuracy rate 85.8% and the recall rate 97.5% are obtained. The experimental results show the approach is valid and robust.

A Review on Audio-visual Translation Studies

This paper is dedicated to a thorough review on the audio-visual related translations from both home and abroad.In reviewing the foreign achievements on this specific field of translation studies it can shed some lights on our national audio-visual practice and research.The review on the Chinese scholars’ audio-visual translation studies is to offer the potential developing direction and guidelines to the studies and aspects neglected as well.Based on the summary of relevant studies,possible topics for further studies are proposed.

Audio-visual emotion recognition with multilayer boosted HMM

Emotion recognition has become an important task of modern human-computer interac- tion. A multilayer boosted HMM （ MBHMM ） classifier for automatic audio-visual emotion recognition is presented in this paper. A modified Baum-Welch algorithm is proposed for component HMM learn- ing and adaptive boosting （AdaBoost） is used to train ensemble classifiers for different layers （cues）. Except for the first layer, the initial weights of training samples in current layer are decided by recognition results of the ensemble classifier in the upper layer. Thus the training procedure using current cue can focus more on the difficult samples according to the previous cue. Our MBHMM clas- sifier is combined by these ensemble classifiers and takes advantage of the complementary informa- tion from multiple cues and modalities. Experimental results on audio-visual emotion data collected in Wizard of Oz scenarios and labeled under two types of emotion category sets demonstrate that our approach is effective and promising.

The Audio-Visual Performance Highlighted Craze in Chicago During Chinese New Year

February 10 (US Central Time), 2019, China National Peking Opera Company (CNPOC) and the Hubei Chime Bells National Chinese Orchestra presented a fantastic audio-visual performance of Chinese Peking Opera and Chinese chime bells for the American audience at the world s top-level Buntrock Hall at Symphony Center.

Research on National Identity Based on National Audio-Visual Works: Taking Inner Mongolia as an Example

Mongolian audio-visual works are an important carrier of exploring the true significance to this national culture.This paper believes that the Mongolian people in Inner Mongolia constantly enhance the individual sense of identity to the overall ethnic group through the influence of film and television and music,and on this basis constantly evolve a new culture in line with modern and contemporary life to further enhance their sense of belonging to the ethnic nation.

Application of Task-based Teaching Method to College Audio-visual English Teaching

Based on the current situation of college audio-visual English teaching in China, this article points out that the avoidance in class is a serious phenomenon in the process of college audio-visual English teaching. After further analysis and combination with the characteristics of college English audio-visual teaching in China, it puts forward the application of task-based teaching method to college audio-visual English teaching and its steps, attempting to alleviate the avoidance phenomenon in students through task-based teaching method.

Prioritized MPEG-4 Audio-Visual Objects Streaming over the DiffServ

The object-based scalable coding in MPEG-4 is investigated, and a prioritized transmission scheme of MPEG-4 audio-visual objects （AVOs） over the DiffServ network with the QoS guarantee is proposed. MPEG-4 AVOs are extracted and classified into different groups according to their priority values and scalable layers （visual importance）. These priority values are mapped to the 1P DiffServ per hop behaviors （PHB）. This scheme can selectively discard packets with low importance, in order to avoid the network congestion. Simulation results show that the quality of received video can gracefully adapt to network state, as compared with the ‘best-effort＇ manner. Also, by allowing the content provider to define prioritization of each audio-visual object, the adaptive transmission of object-based scalable video can be customized based on the content.

Time Dilation Cosmology 3: Mathematical Proof of the 3 Temporal and 2 Spatial Acceleration Factors

This is the fifth paper in a series on Time Dilation Cosmology, TDC. TDC is an eternal holographic model of the universe based on time dilation that ties astrophysics to quantum physics and resolves all the conundrums in astrophysics and serves as a model for the unified field. In the author’s previous four TDC papers, it was demonstrated that all gravitationally induced velocities are compensation for the apparent difference in the rates of time, “dRt”, due to mass/energy densities, and, vice-versa, in all force-induced velocities the dRt is compensation for the velocity, so the uniform evolution of the continuum at c is maintained at the invariant 1 s/s rate of time of the universe as a whole. These compensations make it impossible for an event to lag behind or get ahead of the evolving continuum. When the author did the first velocity formula derivations in “General Relativity: Effects in Time as Causation” [1], the author felt the explanations for the appearance of the 2spatial and the 3temporal acceleration factors in the formulas were correct, but poorly explained and incomplete. This paper is a proof of the temporal and spatial acceleration factors used in the time dilation-based velocity formula derivations in the Time Dilation Cosmology model.

基于UTXO模型区块链的众包物流可信身份认证模型

针对现有集中式众包物流平台中用户身份数据存储与管理存在的隐私泄露和篡改问题,提出一种基于UTXO模型区块链的众包物流可信身份认证模型.该模型包括利用区块链技术实现身份注册、身份验证、身份撤销及身份认证.针对链上存储用户隐私数据风险的问题,采用混合加解密方案对链上个人信息做安全存储与分享;针对平台认证用户身份的问题,采用可信身份凭证以零知识证明方式登录众包物流平台.对身份信息以及认证进行安全性分析,并将该方法与LIU方法、LI方法的安全性能进行了对比.在Python3.9环境下完成试验,进行了身份信息加密和零知识身份认证测试分析.结果表明该方案的认证时延和处理事务能力均优于现有的SHAO方案.

基于信誉的委员会共识机制

授权股权证明(DPoS)作为主流共识机制的一种,选举过程耗时长、节点投票不积极和恶意节点难处理的核心问题制约着它的快速发展。针对上述问题,提出一种基于信誉的委员会共识机制——幸运信誉证明(PoLaC)。首先,将信誉值作为节点历史行为的评估标准,并选择高信誉节点作为委员会成员,从而极大地简化选举流程;其次,引入幸运值概念来提高普通节点竞选成功的概率,从而激励普通节点参与网络共识;最后,采取延迟分叉的方式修正恶意节点的行为。实验结果表明,在共识通信量方面,投票意愿为50%时,PoLaC网络比DPoS网络的共识通信量少30%;在低权重节点收益方面,PoLaC网络的收益是DPoS的3倍;在委员会恶意节点占比方面,进入信誉稳定期的PoLaC网络的委员会恶意节点数约为DPoS的1/5;而相较于其他同类信誉共识机制,PoLaC在网络通信量、节点活跃度以及恶意节点处理方面均具有一定优势。

从日常思维到非日常思维:刑事多元证据分析方法的新展开

准确认定事实之目标的实现需要借助多元化的证据分析方法,但印证方法在实践中的主导地位日益稳固。既有的分析框架无法充分解释印证方法备受实践青睐的原因。日常生活批判理论中日常思维与非日常思维的划分可以为此现象提供全新的分析视角:印证方法本质上属于日常思维,具有重复性、自发性和实用性,这就导致印证方法的同质化及封闭化运用,其他新型证据分析方法因此难以被实践所接受。故事方法、概率方法和论证方法具有自觉性、批判性、创造性等非日常性的特征,分别代表了证据分析方法精炼化、精确化和精细化的发展方向,能够满足以审判为中心制度改革的内在需求。实践中的证据分析应在思维上逐步实现非日常化。这需要明确刑事司法实践中多元证据分析方法的应用方略,再通过技术化处理、内生式发展以及灌输式教育等方式,推进其在实践中展开。

基于流固耦合的防爆柴油机排气歧管的优化改进

以进行了防爆改造的康明斯某六缸柴油机为研究对象,对其排气歧管内烟气的流动过程以及流固耦合的传热过程进行了模拟分析,得到了相应的速度分布云图、温度分布云图等;通过分析发现原排气歧管出口处流动均匀性指数为0.60,整体的流动均匀性较差,在冷却水的作用下烟气表面温度降低,满足防爆要求。在此基础上提出了改进方案,改进后歧管内烟气出口处的流动均匀性指数提高了0.28,显著提高了烟气整体的流动均匀性,改进后烟气表面平均温度有所下降,既满足了防爆要求又提高了防爆柴油机的整体性能。

将夫妻公司穿透识别为实质一人公司的裁判思维之争

夫妻公司是民营经济发展中的主力军。夫妻创业离不开稳定、透明、公平与可预期的法治化营商环境。围绕夫妻公司是否为实质一人公司,存在同案不同判现象。有些判例对夫妻股东无条件地套用自证清白的证据规则,增加了夫妻投资与公司治理风险,不利于高质量发展。为提振投资信心,必须坚持外观主义优位原则,尊重股权结构的公示公信效力,反对恣意的实质穿透主义,划清夫妻共同财产与股东独立人格之间的法律边界,抛弃夫妻通谋失信推定说,鼓励夫妻股东夫妻平等共治,共襄盛举。夫妻公司就是二人公司,并非一人公司或实质一人公司。鉴于“实质一人公司”并非严谨法律概念,不宜被代入《公司法》第23条第3款中的一人公司范畴。既然《公司法》第23条第1款在规制夫妻公司时不存在法律漏洞,法官无须也不应牵强附会地对其准用该法第23条第3款。不将夫妻公司视为实质一人公司,不等于纵容夫妻股东滥用股东有限责任原则与公司法律人格。倘若夫妻公司存在人格严重混同或股权资本显著不足等情形,债权人有权依据《公司法》第23条第1款为股东多元化公司设计的一般法律规则,诉请法院揭开公司面纱,但无权请求法院类推适用第23条第3款专为一人公司设计的举证责任倒置规则。信息占有与举证责任成正比应成为一条证据铁律。

Glia-to-neuron reprogramming to the rescue?

Over the last two decades,the dogma that cell fate is immutable has been increasingly challenged,with important implications for regenerative medicine.The brea kth rough discovery that induced pluripotent stem cells could be generated from adult mouse fibroblasts is powerful proof that cell fate can be changed.An exciting extension of the discovery of cell fate impermanence is the direct cellular reprogram ming hypothesis-that terminally differentiated cells can be reprogrammed into other adult cell fates without first passing through a stem cell state.

Corrigendum: MicroRNA-502-3p regulates GABAergic synapse function in hippocampal neurons

There is an error in the name of the cell line in the abstract of the published paper“MicroRNA-502-3p regulates GABAergic synapse function in hippocampal neurons”published on pages 2698-2707,Issue 12,Volume 19 of Neural Regeneration Research(Sharma et al.,2024),because of oversight during final proof checking.The correct description should be“human-GABA receptor A-α1/β2/γ2L human embryonic kidney(HEK)recombinant cell line.”The authors apologize for any inconvenience this correction may cause for readers and editors of Neural Regeneration Research.

基于纤维混杂的防弹防刺材料结构设计与优化

反恐处突人员在处理城市暴力恐袭事件时需要同时应对刀刺及枪击的威胁,单一防护功能的防护服难以保障生命安全。根据防弹和防刺机理,将防弹和防刺材料进行组合设计可达到多功能的防护效果。目前基于组合材料的双防服研制方法主要为实验试错,设计效率低下,成本较高。针对这一问题,提出一种基于能量吸收准则的纤维混杂防弹防刺结构理论设计与优化方法,开展单一防护材料即浸胶芳纶布和超高分子量聚乙烯(Ultra high molecular weight Polyethylene,PE)无纬布的弹道实验和动态穿刺实验,计算单一材料的弹道动能吸收和穿刺动能吸收。基于能量守恒定律,设计给定8500 g/m^(2)面密度下的防弹防刺组合结构,得到防弹与防刺材料的层数范围。经过弹道及动态穿刺实验验证,理论计算安全余量充足,11层浸胶芳纶布加18层PE无纬布组合满足公安部《GA68—2019警用防刺服》及警用三级防弹要求且最为轻便,面密度8390 g/m^(2)。对防弹防刺结构进行优化设计,得到面密度为8370 g/m^(2)的最轻量组合结构(9层浸胶芳纶布加21层PE无纬布),研究成果可为双防服的工程设计与创新应用提供参考。

基于综合积分机制的权益证明共识算法改进研究

共识机制是区块链的核心。权益证明(PoS)作为一种共识机制,与工作量证明(PoW)相比显著降低了资源的消耗。但PoS中积极的低权益诚实节点难以获得记账权,除此之外,还存在节点区块验证不积极、币龄累计攻击和出块奖励分配不合理的安全问题。为此,提出了一种基于PoS的改进方案。首先,通过引入积分机制来提升积极的低权益诚实节点的总权益,提高节点获得记账权的概率;其次,采用非线性函数进行币龄计算,防止恶意节点累计币龄发动攻击;最后,根据节点综合积分占比分配出块奖励,在规定时间内积极参与验证或投票的节点会得到奖励,减少“富者越富”现象,缩短节点之间的贫富差距。实验结果表明,相比其他PoS,所提的改进共识机制有效控制币龄的无限增长,积极的低权益诚实节点获得奖励和记账权的次数提升了约3.6倍和2.6倍,降低了系统的中心化趋势,增大了积极的低权益诚实节点的竞争记账权的机会和减小了币龄攻击的可能性,进一步验证了所提方案的可行性和优越性,促进了区块链网络的健康发展。

课程目标达成度评价的价值导向:从举证到赋能

课程目标达成度评价是产出导向的师范人才培养内部评价体系的起点和重要内容,其贯穿师范类专业认证和人才培养全周期,需要从认证体系和人才培养两个视角探究其实质。将外部师范类专业认证要求内化为师范人才内部培养要求,将有助于实现从举证导向到赋能导向评价的价值转变。在赋能评价建构路径上,建立以师范生教师职业能力标准为核心的培养体系是赋能评价的基础,以师范生教师职业能力培养为导向设计课程教学评价任务、教师将评价融入教学研究从而提高自身专业水平、师范生将参与评价融入学习是实施赋能评价的切入点,以适切的评价取向实施赋能评价是其评价模式。