基于多特征的视频内容安全过滤方法

应国家对视频网站加强有序管理的迫切要求,文中应用一种基于多模态特征的网络视频分类方法,实现对网络视频的安全监管。该方法对从网络视频中提取三大类的视频特征,分别针对音频特征、运动和颜色以及空间和时间特征,递进地对视频进行过滤。通过对视频中不良场景的定义,包括恐怖、暴力和色情语义,以检测网络视频内容中潜在的不良信息,实验证明该方法有效地提高了不良视频检测和分类的准确率。     

Multiscale residual gradient attention for face anti-spoofing

In the field of face anti-spoofing (FAS), how to extract the representative features to distinguish between real and spoof faces and train the corresponding deep networks are two vital issues. In this paper, we propose a simple but effective end-to-end FAS model based on an innovative texture extractor and a depth auxiliary supervision mechanism. In the feature extraction stage, we first design the residual gradient convolutions based on the redesigned gradient operators, which are used to extract fine-grained texture features. The extraction of texture features is based on multiple scales by dividing the texture differences between living and spoofing faces into three levels reasonably. Then we construct a multiscale residual gradient attention (MRGA) to obtain representative texture features from multiple levels texture features. By combining the proposed feature extractor MRGA and existing vision transformer (ViT), the MRGA-ViT is proposed to generate related semantics and obtain final classification results. In the training stage, we also propose a local depth auxiliary supervision based on a novel adjacent depth loss, which utilizes the correlation information of adjacent pixels adequately compared with traditional depth loss. The proposed MRGA-ViT model achieves competitive performance in generalization and stability ability, e.g., the ACER(%) values of intra testing on OULU-NPU database are 1.8, 2.6, 1.6 ± 1.2 and 1.9 ± 2.7 respectively, the AUC(%) of cross type testing attains 99.45 ± 0.57, the ACER(%) values of cross dataset testing are 28.1 and 36.7 respectively. Experimental results prove that the proposed model is competitive to other state-of-the-art works on generalization and stability performance.     

硫胺素-三维荧光法测定水中汞离子的研究

汞是一种具有显著积累效应和遗传毒性的重金属元素,对人体健康和生态环境危害极大.我国水环境中汞污染严重,开发快速、高效、经济的汞离子检测方法可以有效推动水环境中汞污染的源头治理.该研究创新性地提出利用硫胺素-三维荧光法来实现水环境中汞离子的检测.研究结果表明,硫胺素与汞离子发生氧化还原反应前后,其荧光峰的位置与数量发生了...     

Network in network based weakly supervised learning for visual tracking

One of the key limitations of the many existing visual tracking method is that they are built upon low-level visual features and have limited predictability power of data semantics. To effectively fill the semantic gap of visual data in visual tracking with little supervision, we propose a tracking method which constructs a robust object appearance model via learning and transferring mid-level image representations using a deep network, i.e., Network in Network (NIN). First, we design a simple yet effective method to transfer the mid-level features learned from NIN on the source tasks with large scale training data to the tracking tasks with limited training data. Then, to address the drifting problem, we simultaneously utilize the samples collected in the initial and most previous frames. Finally, a heuristic schema is used to judge whether updating the object appearance model or not. Extensive experiments show the robustness of our method.     

一种基于曲线相似度进行业务流量监测的方法

提出了一种基于业务流量监测的方法,该方法屏蔽业务系统内部复杂的结构,以业务的有效性为监测的重点。该方法运用了统计学中的相关系数的概念来建立曲线相似度的数学模型。经过实验数据的相关验证,该方法在业务流量监测上非常是有效的。     

UPS电池供电时的上位机监控软件设计

UPS并不是单纯地持续供应电力，当市电在故障情况下，必须通知系统管理员在UPS系统中电池供电所提供的时间内采取相应的应急措施；当无人值守时，系统能自动保存重要的资讯并关闭系统。文中设计了一个UPS在电池供电时的上位机监控软件。     

数字同步网管系统的设置

对时钟同步网网管系统的逻辑结构、应用方式和设备接口协议等方面进行了阐述，针对目前实际应用中存在的几种管理方式，给出了相对应的网管解决方案。     

权监督多级模糊优选模型

本从多级模糊优选概念出发，建立一种以决策经验，偏好为监督，在方案优选确定过程中融合主、客观权重，同时确定评价指标权重和决策方案优属度的权监督多级模糊优选算法。     

对监理人才培养模式的思考

本文结合我国国情，提出了我国监理人才培养的五种基本模式，对如何提高工程建设监理人员的素质、丰富工程建设监理人才库问题作了探索。     

可编程逻辑控制器在微机监控系统中的应用

文章介绍了无锡华光公司的SH系列可编程逻辑控制器（PLC）在微机监控系统中的应用，着重讨论了上、下位机之间的通讯方式，以及两者之间具体通讯过程的实现。