Hybrid event based control architecture for tele-robotic systems controlled through Internet

A new hybrid event based control architecture for tele-robotic systems controlled through the Internet is pro-posed in this paper. Different from the traditional event based control method, the new framework does not require every part of the system to be strictly event synchronized. Instead, it allows time referenced control components to be integrated into this framework, which makes it more convenient to develop Internet based control systems. Since there are two reference variables, time and event, in this architecture, how to coordinate these components with different references to keep the stability of the whole system is discussed in detail in this paper. To verify this new idea, an experiment was conducted to control the end effector of a PUMA robot tracking a continuous state trajectory given on-line by the remote operator. Ex-perimental results confirmed the stability of such systems being controlled through the Internet in real-time.

Artificial Neural Networks for Event Based Rainfall-Runoff Modeling

The Artificial Neural Network (ANN) approach has been successfully used in many hydrological studies especially the rainfall-runoff modeling using continuous data. The present study examines its applicability to model the event-based rainfall-runoff process. A case study has been done for Ajay river basin to develop event-based rainfall-runoff model for the basin to simulate the hourly runoff at Sarath gauging site. The results demonstrate that ANN models are able to provide a good representation of an event-based rainfall-runoff process. The two important parameters, when predicting a flood hydrograph, are the magnitude of the peak discharge and the time to peak discharge. The developed ANN models have been able to predict this information with great accuracy. This shows that ANNs can be very efficient in modeling an event-based rainfall-runoff process for determining the peak discharge and time to the peak discharge very accurately. This is important in water resources design and management applications, where peak discharge and time to peak discharge are important input

Event-based Implicit Invocation Decentralized in Ada

Nowadays more and more attraction is drawn by the event based implicit invocation one of useful architectural patterns, because of its loose coupling between components in the architecture and reactive integration in software systems. Analyzing object oriented interaction with objects, this paper, based upon the principle of software architecture, presents an approach on event based object model with Ada exception handler. Consequently it is possible for us to improve, with adding specific architectural patterns, traditional programming languages into architectural description languages.

Interval-Based Out-of-Order Event Processing in Intelligent Manufacturing

Estimating the cycle time of each job over event streams in intelligent manufacturing is critical. These streams include many long-lasting events which have certain durations. The temporal relationships among those interval-based events are often complex. Meanwhile, network latencies and machine failures in intelligent manufacturing may cause events to be out-of-order. This topic has rarely been discussed because most existing methods do not consider both interval-based and out-of-order events. In this work, we analyze the preliminaries of event temporal semantics. A tree-plan model of interval-based out-of-order events is proposed. A hybrid solution is correspondingly introduced. Extensive experimental studies demonstrate the efficiency of our approach.

Topology-Based and Event-Oriented Approach to Simulation of Cyber-Physical Systems

A simulation model for cyber-physical systems(CPSs)was presented.The model was developed by the method of combination of topology-based and event-oriented that could be used to simulate systems with routing flexibility,service-selection flexibility and service- mode flexibility overall by integrating the strategies related.The validity of the model has been verified by two extensive experiments.

Minto Large Igneous Province: A 2.00 Ga Mafic Magmatic Event in the Eastern Superior Craton Based on U-Pb Baddeleyite Geochronology and Paleomagnetism

A precise U-Pb baddeleyite age of 1999±2 Ma has been obtained for the NNW trending Lac Shpogan dyke swarm of the James Bay area of the eastern Superior craton.Previously the age of the swarm was only

A Combined Discrete Event—Agent Based Approach to Modeling Tensile Strength of One-Dimensional Fibrous Materials. Face Validation and Effect of the Basic Model Parameters

A combined method of discrete event and agent based modelling has been applied to the computer modelling and simulation of the tensile strength of one-dimensional fibrous materials (ODFM). This combined method is based on the concept of discrete event simulation as being applied to the modeling of the structure of the fiber flow and on the concept of agent based modelling for modelling and simulation of the fiber interaction within the structure of the fibrous material. Frictional and traction forces arise as the result of this fiber interaction. A model of the ODFM tensile strength, which is based on the slippage effect, is created and studied in this research. Only frictional and traction forces determine the tensile strength in this kind of the model. The article examines the validation problem of the slippage effect based tensile strength model and questions regarding the strength potential estimation through variation in the parameters of the model.

基于动态视觉传感器的无人机目标检测与避障

针对无人机在动态环境中感知动态目标与躲避高速动态障碍物,提出了基于动态视觉传感器的目标检测与避障算法。设计了滤波方法和运动补偿算法,滤除事件流中背景噪声、热点噪声及由相机自身运动产生的冗余事件;设计了一种融合事件图像和RGB图像的动态目标融合检测算法,保证检测的可靠性。根据检测结果对目标运动轨迹进行估计,结合障碍物运动特点和无人机动力学约束改进速度障碍法躲避动态障碍物。大量仿真试验、手持试验及飞行试验验证了所提算法的可行性。

Internet-based event synchronization communication driven telerobotics

Based on QoS (quality of service) parameters: time delay, jitter, bandwidth and package loss. As time delay in the Internet is variable, it is hard to compensate it by traditional methods. Event synchronization communication driven method is proposed to overcome the negative effects induced by time delay. This method is a non-time based method and it can get rid of the effects of time in the control loop of telerobotics. Stability, transparency and synchronization can be maintained in it by event-driven method. Multimodal enhanced telerobotics is put forward with its feedback including force, video, audio and temperature etc. The use of multimodal feedback improves the efficiency and safety of the whole system. Synchronization in multimodal feedback is hard to ensure and event-driven method is also good for it. Experiments on an Internet-based shaft-hole assemblage system show good results by using event synchronization communication driven method and UDP protocol.

免疫检查点抑制剂相关皮肤不良反应管理的证据总结

目的 检索、评价并整合免疫检查点抑制剂(ICIs)相关皮肤不良反应(irAEs)管理的相关证据。方法 系统检索循证决策支持系统BMJ Best Practice、JBI图书馆、Cochrane图书馆、英国国家卫生和临床优化研究所、苏格兰校际指南、Web of science、美国国立综合癌症网络等专业学会网站、PubMed、中国生物医学文献数据库、中国知网、万方中关于ICIs irAEs管理的指南、证据总结、专家共识、系统评价,检索时间限定为2013年1月1月-2022年10月31日。对检索的文献进行质量评价后,再对证据进行提取和整合。结果 共纳入9篇文献,其中包括4篇指南、1篇证据总结、4篇专家共识。经过阅读、提取和归纳,共总结出14条证据,包括培训、健康教育、评估与监测和治疗4个方面。结论 临床医护人员应应用最佳证据对ICIs irAEs进行规范管理,降低irAEs的发生。

基于新奇度量的社交事件推荐方法

在社交事件网络(EBSN)中,推荐工作都是从用户的历史喜好出发建模用户偏好,阻碍了用户接触新事物的范围和途径。针对上述问题,提出基于新奇度量的社交事件推荐模型UER(Unexpectedness-based Event Recommendation)。UER模型包括Base和Unexpected两个子模型,首先,Base子模型基于用户、事件以及用户历史事件交互序列特征,通过注意力机制衡量事件在用户历史喜好中的权重,最终预测用户参加事件的概率;其次,Unexpected子模型通过自注意力机制提取用户的多个兴趣表示来计算用户自身新奇度和候选事件对用户的新奇值,从而衡量推荐事件的新奇程度。在Meetup-加州数据集上,UER模型相较于DIN(Deep Interest Network)和PURS(Personalized Unexpected Recommender System)的推荐命中率(HR)分别提高22.9%和30.3%,归一化折损累积收益(NDCG)分别提高27.5%和42.3%,推荐事件的新奇程度分别提高54.5%和21.4%;在Meetup-纽约数据集上,UER模型相较于DIN和PURS的HR分别提高18.2%和21.8%,NDCG分别提高26.9%和32.0%,推荐事件的新奇程度分别提高52.6%和20.8%。

面向公共决策的重特大事件档案专题知识库构建研究——以地震档案为例

重特大事件档案专题知识库整合国内重特大突发事件档案资源,为公共决策部署及应急方案制定提供可靠的知识服务,能有效实现档案的资政价值,为公共决策提供有力支撑。文章首先从公共决策需求分析入手,借助CIDOC-CRM模型构建档案资源本体。其次,将档案知识库的内部框架分为数据获取与处理层、知识组织与加工层及知识存储层,将知识服务平台功能分为知识管理模块、知识检索模块、知识决策模块和系统管理模块。最后,以地震档案为例,利用Microsoft Visual Studio作为开发工具,在ASP.NET平台上构建地震专题知识库,为公共决策提供智能化服务,实现地震档案资源的价值增值。

基于不良事件的PBL教学法在麻醉科实习生教学中的应用

目的 探讨基于不良事件为引导的基于问题的教学法(PBL)在麻醉科实习生教学中的应用效果。方法选取2021年3月至2023年3月在嘉兴学院附属医院麻醉科实习的50名本科生,分为观察组(n=25)与对照组(n=25)。观察组采用以不良事件为引导的PBL教学,对照组采用传统教学。比较两组学生的综合测试成绩、综合能力提升自我评价及对教学的满意度。结果 实习结束后,观察组学生专业理论知识、麻醉技能操作、案例分析考核成绩均高于对照组,差异均有统计学意义(t分别=5.39、4.36、2.96,P均<0.05);观察组学生在提高学习兴趣,提高临床思维能力,提高沟通、应变能力,提高查阅资料、文献检索能力,提高团队协作能力方面的得分均高于对照组,差异均有统计学意义(t分别=4.63、3.98、6.63、7.32、4.01,P均<0.05)。观察组学生在对教学模式效果、课程内容掌握程度及师生互动方面满意度明显高于对照组,差异均有统计学意义(χ^(2)分别=7.12、4.32、6.57,P均<0.05),但在教师带教态度方面比较,差异无统计学意义(χ^(2)=0.33,P>0.05)。结论 以不良事件为引导的PBL教学法可提升麻醉本科实习生理论知识和技能操作水平,提高学生综合能力,改善教学满意度。

3~6岁ASD儿童基于事件前瞻记忆的损伤:执行功能的作用

为了解3~6岁自闭症儿童基于事件前瞻记忆能力的发展特点和损伤机制,本研究采用实验室前瞻记忆范式,比较了自闭症儿童与正常儿童基于事件的前瞻记忆和执行功能表现。结果显示,相比于正常儿童,自闭症儿童基于事件前瞻记忆表现存在明显缺陷。而且,自闭症儿童基于事件的前瞻记忆受损与其执行功能障碍有相关,自闭症儿童抑制控制能力的发展显著预测其基于事件的前瞻记忆能力。

天基信息支援体系离散事件仿真与效能评估

针对天基信息支援体系效能评估中存在的准确性与实时性无法兼顾的问题,以体系仿真为基础,提出一种基于离散事件仿真的效能评估模型构建方法。首先,基于仿真工具建立离散事件仿真模型,对体系的结构与运作流程进行模拟,并基于仿真模型构建评估指标体系,生成效能评估数据样本。之后,利用深度学习对复杂映射的强大表现能力基于深度置信网络构建效能评估代理模型,结合无监督预训练和有监督调优实现网络的训练和参数优化。最后,对仿真生成的测试集样本进行评估模型验证实验。结果表明,所提方法在计算快速的同时对原评估模型有很高的还原度。

职业教育质量项目化的事理逻辑、符号效应与优化策略

项目制治理体制和职业院校的自身发展需要助推职业教育质量评价的项目化。现实中,项目在职业教育质量评价中的符号价值容易掩盖职业教育的质量内涵、动摇教学工作的核心地位、影响职业教育的基本价值取向,在一定程度上影响到职业教育质量的持续提升。只有重新认识职业教育的质量内涵,强化职业教育质量标准的育人导向、培育具有自身特色的质量文化、优化项目管理,才能彰显项目的质量价值,为职业教育的高质量发展提供保障。

典型事件化规则库编制要点分析及创新点提取

针对现有监控告警技术存在的监控信息量大、事故处置效率低、容易漏判误判等问题,新一代集控系统将采用监控信息事件化告警技术来解决这些问题。该技术以典型事件化规则库作为信息基础,通过对信号进行关联分析和归纳,形成对设备事件的判断。与原来仅以时序排列展示的散乱信号相比,监控系统将以“设备事件”的形式展示,为监控人员的进一步处置提供参考。通过详细介绍典型事件化规则库中挖掘设备故障事件规则及挖掘设备异常事件规则的编制流程,在国网基本规则库的基础上,研发新一代集控典型规则库的创新点。

紧密型县域医共体对乡镇卫生院医生责任感的影响——基于情感体验的中介作用

目的基于情感事件理论,探究紧密型县域医共体改革对乡镇卫生院医生责任感的影响及其内在机制,为提升乡镇卫生院医生责任感提供参考。方法采用自编问卷进行调查,问卷内容包括乡镇卫生院医生个人基本信息和责任感、医共体效能、情感体验3个变量。选取湖北省2个典型紧密型县域医共体的23家乡镇卫生院的医生作为调查对象,采用结构方程模型分析紧密型县城医共体对医生责任感的影响。结果医共体效能对乡镇卫生院医生情感体验具有正向影响,情感体验对医生责任感有正向影响,医共体效能对医生责任感的直接效应值为0.044,间接效应值为0.236,间接效应占总效应的比值为84.3%。结论情感体验在医共体效能与乡镇卫生院医生责任感之间发挥完全中介作用。

基于语义知识图谱的网络舆情案例库建模研究

对突发网络舆情案例进行智能存储、分类,并深入分析其发酵的原因,在回应、引导和处置层面采取针对性措施,从而有效提升决策的科学性和效率。基于语义知识图谱,先研究语义案例形式化表达、特征抽取方法和检索系统构建方法,再建立决策认知机制计算模型,进而建立本体模型和舆情处置语义案例库,构建语义表示模型,最后提取和优化应急领域信息流程。同时,通过表示和索引本体关联树,建立网络舆情案例库。突发网络舆情事件发生后,快速推荐相关案例,根据语义知识图谱,对事件进行分类、分级,结合预案,自动生成回应稿。

古典美还是表现美:摆盘美学影响健康饮食决策的计算与神经机制

前人研究发现食物摆盘的美感水平会影响个体的食物选择,但未有研究进一步探讨相同美感、不同审美特征对健康饮食决策的影响机制。本研究招募被试34名,采用基于价值的食物决策范式,使用2 (审美特征:古典美,表现美)×2 (食物热量:高,低)被试内设计,通过分离计算模型参数与脑电指标来检验不同审美特征差异化的审美价值,以及审美价值对热量影响的调节效应及其认知神经基础。结果显示:(1)古典美(vs.表现美)审美价值更高,食物选择率和漂移率(v)更高、N400振幅更低;(2)审美价值调节热量价值,但热量价值的突显性高于审美,热量信息的神经处理时间更早(240~320ms);(3)审美价值的调节效应发生在决策证据积累过程中,影响漂移率(v)以及中央顶叶正波(CPP)。本研究在理论层面揭示了健康饮食决策中审美价值的调节效应及认知神经基础,同时在实践应用方面为助推健康饮食选择提供了食物摆盘的审美设计指导。