基于关联事件场的智能化仿真社会实验方法

智能化进程正在迅速推动数字中国建设,不断改变相关社会和人文形态,同时引发了人工智能涉及的社会衍生风险等关键问题。在遵循社会伦理和隐私保护前提下,前瞻性探索新型人工智能社会实验模式,规范人工智能技术的发展,具有重要的现实意义。探讨了在特定社会实验环境下的事件场构建方式方法,以及人物、行为和场景三者的关联关系,基于数据和实验的社会化传导模式以及社会衍生效应进行预测。尝试通过前瞻性的虚拟仿真博弈实验,验证智能化仿真社会实验模式的有效性,为政府提供前瞻性的决策工具和智慧管理建议。

塑形:从认识型到话语事件场的转变——福柯《认知考古学》解读

在《认知考古学》一书中,福柯一改《词与物》中那种认识型统摄文化的历史观察视角,而着眼于某种看不见的当下建构和解构的话语运行场。这就是所谓话语实践,在实体存在的意义中,它恰恰是以不在场的出场方式存在的。正是这个话语实践同时塑形了社会存在中的客体与主体,并生成全新的社会生活中的策略性统治。

科学考古学与话语事件场——青年福柯关于认识型和认识论断裂的答辩

福柯提出的话语事件场概念中,存在一个从宏观文化构式向微观文本内部结构的转换,即一个文本中的功能性话语与各种他性话语的支撑和依赖关系建构起来的指涉系统。这显然是比认识型要微观得多的构境场域,它往往是一种文本、一种思潮内部的复杂话语实践。学术思想发生中真正存在的只是当下被激活的话语事件场,它在学者由言说和思考过程建构起来的学术思想构境中曾突现式地发生过,话语事件并不持续实在和永恒在场,而只是不断地突现式地蜂拥而至(成境)并迅速离散(消境),学术构境即是话语事件群的会聚。

极区场向电子事件持续时间的统计研究

利用Cluster卫星的4s分辨率数据,对极区高高度4～8Re范围内的场向电子事件进行了统计,分析了场向电子事件持续时间的分布特性,并研究了不同地磁条件下场向电子事件持续时间的分布.结果表明：极区高高度范围场向电子事件的持续时间为6 ～ 475 s,大部分场向电子的持续时间小于50 s,在持续时间10～ 20 s内,场向电子事件最容易发生；持续时间长的场向电子在北半球上行的情况下发生较多；持续时间较长的场向电子事件一般都发生在地磁场By较小的条件下.

元宇宙场域NFT艺术品的价值协商模式

元宇宙时代,艺术品价值协商面临体制不平等、角色模糊、边界弥散等挑战,NFT艺术交易平台因其去中心化的特性更是为艺术品价值评估开创了新的可能。首先,本文通过梳理艺术品价值评估相关理论,运用协商价值论、场域配置事件等理论,分析元宇宙中NFT艺术交易平台的技术、空间、时间、社会、经济、表征六大场域可供性,建立起以技术可供性为起点的NFT艺术品价值生成回路模型。其次,通过比较元宇宙场域中数字拍卖平台、虚拟艺术社区、互动艺术世界的中心化、非中心化、去中心化三种艺术品价值协商模式,发现NFT艺术品呈现技术与经济价值泡沫、社交与使用价值凸显、审美与情境价值稳定的演变趋势。最后,现阶段NFT艺术市场仍存在技术材料可靠性、金融交易投机性、代码合同有效性等潜在价值风险,亟待政府部门加强虚拟资产监管的制度设计,鼓励平台及创作主体自治,形成良好的数字艺术生态。

基于新一代脑磁图的语义视听单试次检测

为解码人脑在语义情境下的视听双模态与单模态中的响应差异,本研究设计了相关任务范式并应用新一代脑磁图(OPM-MEG)结合机器学习方法对采集信号从行为学响应、事件相关场(ERF)和单试次检测3个角度进行分析.结果显示单模态语义响应主要集中在枕叶,而双模态语义响应主要集中在顶叶.同时,双模态下的被试响应速率及单试次检测准确率显著高于单模态.此外,支持向量机(SVM)在4种机器学习模型中显示出了最佳分类效能,在被试内分类平均准确率可达75.16%,被试间平均准确率达80.56%.结果表明基于OPM-MEG结合机器学习为实现解码语义情境下的视听双模态与单模态响应差异提供了一条新的有效途径.

元光场事件计算成像(特邀)

捕捉动态变化场景的光场信息,在虚拟现实、显微观测、工业检测、天文等重要观测应用中具有重要的应用价值。现有动态光场成像数据通量大,对动态光场数据的采集、传输和处理提出了巨大的挑战。受到昆虫视觉系统的复眼光学结构和快速多目融合感知的浅层视觉神经工作机制启发,提出一种新型动态光场成像范式-元光场事件成像技术来捕获具有高维光场时变属性的元光场事件,可以极大程度增强元光场事件相机对场景的高效光场感知和表征能力。通过充分利用光场结构下事件之间的时空相关性,进一步提出一种类生物视觉的时空事件聚合升维算法,实现光场事件高效且鲁棒地提取。为了证明提出的元光场事件成像技术的应用价值,搭建一套元光场事件成像的原型系统,在不同的计算机视觉任务中广泛地开展真实实验应用,如场景重建、去噪和运动轨迹重建等,结合仿真和真实实验充分证明所提的元光场事件相机的捕获动态光场信息的高效性和鲁棒性。

进口影片翻译的社会学分析

进口影片的引进和发行是多方行动者追求利益的手段。每一部进口影片的翻译事件不只是译者的实践,更是一种集合了多个行动者相互作用的社会活动,并受到特定规范的制约。本文借鉴社会学家布迪厄的场域空间理论,分析进口影片翻译事件中行动者之间的关系,从社会学的角度描写进口影片翻译实践的过程。

酒店员工对大型组织仪式的价值感知研究——以开元酒店集团“技术比武”为例

组织仪式对于组织结构稳固、文化建设、人力资源管理、变革创新等方面具有重要价值,但目前在国内尚未得到学者的足够关注。文章聚焦开元酒店集团大型组织仪式——技术比武,援引组织仪式和行业场域事件的相关研究理论,构建技术比武个体感知价值测量量表,并对4家开元酒店进行实证研究。研究发现:(1)探索性因子分析(EFA)显示技术比武仪式的个体感知价值包括工作提升、交流沟通、职业发展、激情乐趣、组织承诺、自我实现和物质利益7个维度;(2)验证性因子分析(CFA)显示量表具有较好的信度和效度,并揭示了各价值维度与总体价值关系;(3)不同子酒店群体对于技术比武的感知价值具有显著差异;(4)个体的年龄、工作年限和职位属性与感知价值具有相关性。研究结果对于酒店组织文化管理研究具有一定的创新启示意义,对与酒店实践管理具有重要的参考价值。

Automatically positioning microseismic sources in mining by the stereo tomographic method using full wavefields

For microseisimic monitoring it is difficult to determine wave modes and their propagation velocity. In this paper, we propose a new method for automatically inverting in real time the source characteristics of microseismic events in mine engineering without wave mode identification and velocities. Based on the wave equation in a spherical coordinate system, we derive a tomographic imaging equation and formulate a scanning parameter selection criterion by which the microseisimic event maximum energy and corresponding parameters can be determined. By determining the maximum energy positions inside a given risk district, we can indentify microseismic events inside or outside the risk districts. The synthetic and field examples demonstrate that the proposed tomographic imaging method can automatically position microseismic events by only knowing the risk district dimensions and range of velocities without identifying the wavefield modes and accurate velocities. Therefore, the new method utilizes the full wavefields to automatically monitor microseismic events.

Video Events Recognition by Scene and Group Context

The ability to recognise video events has become increasingly more popular owing to its extensive practical applications.Most events will occur in certain scene with certain people,and the scene context and group context provide important information for event recognition.In this paper,we present an algorithm to recognise video events in different scenes in which there are multiple agents.First,we recognise events for each agent based on Stochastic Context Sensitive Grammar(SCSG).Then we propose the model of a scene in order to infer the scene in which the events occur,and we use a co-occurrence matrix of events to represent the group context.Finally,the scene and group context are exploited to distinguish events having similar structures.Experimental results show that by adding the scene and group context,the performance of events recognition can be significantly improved.

The Pattern of Financial Crises in Greece＇ A Historical Perspective

The main goal of this paper is to trace the long record of financial crises from the perspective of an emerging economy. Two questions are addressed. First, what explains the incidence and severity of financial crises in an emerging market economy？ And, second, what is the role of learning; how does the country learn from its past experience in financial crises to improve institutions and develop better techniques so as to successfully manage successive crisis events？ To the best of our knowledge, this is the first attempt to provide a crisis event taxonomy looking at a systematic categorisation of the crises episodes that the country experienced over its 200-year life span, from its independence and the foundation of the Modem Greek state in 1829 to the recent 2008 crisis. To answer the above questions, I first present evidence on financial crises in Greece over a long time span of two centuries. Greece is chosen as our working template since it is a country with a rich history in financial crises. In particular, we try to identify different varieties of crises events, providing thus a crisis chronology. Moreover, we present some stylised facts on the incidence, the frequency and the severity of crises events. And second, we discuss the key determinants of the crises episodes, closely related to country specific factors, such as credit expansion, fiscal imbalances and the limited reserve coverage of the monetary base.

Choice of Beef Herd Adaptation Strategy on Canadian Prairie Mixed Farms Under Extreme Climate Events

Economic impact of climate extremes on beef operation is expected to be significant due to its direct impact on feed production. Impact of such events on farm management and longer term farm financial situation is relatively unstudied in the Canadian Prairie. This study compared three alternative beef herd management strategies in dealing with climate extreme events under reference climate scenario of 1971-2000 and the future scenario of 2041-2070. The study used farm simulation model that integrated the model of cattle herd simulation, pasture model, crop simulation model combined with models of economic decisions. Purchasing feed and maintaining herd size is preferred option in dealing with drought Changes in management such as early weaning combined with limit feeding strategies reduce the feed demand and also reduce the financial burden during the years of extreme event, but it has severe negative consequences on amount of slaughter cattle sold. Cull herd strategy not only reduces feed demand but also increases income from sell of herd during the year/s of extreme event, but it severely impacts the farm＇s long term output supply potential. However, expansion of existing agriculture risk management policy to cover climate risk in beef production is necessary to support farmers in the year/s to extreme events.

“朝向事件本身”的教育研究

事件应当成为教育研究的主题。尽管实在主义、解释主义和相对主义的教育研究分别指向物质、精神和变化的实在,但无法忽略"事件"在经验、观念和情境之教育研究中的涌现与价值。事件是在显现和创造运动中存在的绝对且普遍的差异、矛盾及生成,具有本体论意义。基于客观现象学,教育研究"朝向事件本身"就是拒斥事件的对象化,立足于事件本身,把其自身视作充分的、完全地显现的过程,并从中发现规定教育研究问题的条件,体现教育研究的动力、过程和特性。"朝向事件本身"的教育研究产生于具有绝对矛盾关系的"无",进行于"多元异质链接"的"事件场",表现为命名、解释、互动和超越的"介入",诞生尊重和挚爱事件的教育研究主体。

Asymptotic Inefficiency of Incomplete Asset Markets and Symmetric Event Trees

Demonstrating theoretically the possibility that the financial market, albeit incomplete, has equilibrium and that this equilibrium is efficient and has been an important topic at the frontier of the research on general equilibrium for financial markets. The paper examines the asymptotic properties of incomplete financial markets taking into accounting the asset structure. The paper deals with a case in which a structure of securities relates to the asymptotic inefficiency.

Interpretation of sea surface wind interannual vector EOFs over the China seas

Using interpolation and averaging methods, we analyzed the sea surface wind data obtained from December 1992 to November 2008 by the scatterometers ERS-1, ERS-2, and QuikSCAT in the area of 2°N-39 °N, 105°E-130°E, and we reported the monthly mean distributions of the sea surface wind field. A vector empirical orthogonal function （VEOF） method was employed to study the data and three temporal and spatial patterns were obtained. The first interannual VEOF accounts for 26% of the interannual variance and displays the interannual variability of the East Asian monsoon. The second interannual VEOF accounts for 21% of the variance and reflects the response of China sea winds to E1 Nifio events. The temporal mode of VEOF-2 is in good agreement with the curve of the Nifio 3.4 index with a four-month lag. The spatial mode of VEOF-2 indicates that four months after an E1 Nifio event, the southwesterly anomalous winds over the northern South China Sea, the East China Sea, the Yellow Sea, and the Bohai Sea can weaken the prevailing winds in winter, and can strengthen the prevailing winds in summer. The third interannual VEOF accounts for 10% of the variance and also reflects the influence of the ENSO events to China Sea winds. The temporal mode of VEOF-3 is similar to the curve of the Southern Oscillation Index. The spatial mode of VEOF-3 shows that the northeasterly anomalous winds over the South China Sea and the southern part of the East China Sea can weaken the prevailing winds, and southwesterly anomalous winds over the northern part of the East China Sea, the Yellow Sea, and the Bohai Sea can strengthen the prevailing winds when E1 Nifio occurs in winter. If E1 Nifio happens in summer, the reverse is true.

New method for determining central axial orientation of flux rope embedded within current sheet using multipoint measurements

A new method for determining the central axial orientation of a two-dimensional coherent magnetic flux rope(MFR)via multipoint analysis of the magnetic-field structure is developed. The method is devised under the following geometrical assumptions:(1) on its cross section, the structure is left-right symmetric;(2) the projected structure velocity is vertical to the line of symmetry. The two conditions can be naturally satisfied for cylindrical MFRs and are expected to be satisfied for MFRs that are flattened within current sheets. The model test demonstrates that, for determining the axial orientation of such structures, the new method is more efficient and reliable than traditional techniques such as minimum-variance analysis of the magnetic field,Grad-Shafranov(GS) reconstruction, and the more recent method based on the cylindrically symmetric assumption. A total of five flux transfer events observed by Cluster are studied using the proposed approach, and the application results indicate that the observed structures, regardless of their actual physical properties, fit the assumed geometrical model well. For these events, the inferred axial orientations are all in excellent agreement with those obtained using the multi-GS reconstruction technique.

Analysis of process variations impact on the single-event transient quenching in 65 nm CMOS combinational circuits

Single-event transient pulse quenching （Quenching effect） is employed to effectively mitigate WSET （SET pulse width）. It en- hanced along with the increased charge sharing which is norm for future advanced technologies. As technology scales, param- eter variation is another serious issue that significantly affects circuit＇s performance and single-event response. Monte Carlo simulations combined with TCAD （Technology Computer-Aided Design） simulations are conducted on a six-stage inverter chain to identify and quantify the impact of charge sharing and parameter variation on pulse quenching. Studies show that charge sharing induce a wider WSET spread range. The difference of WSET range between no quenching and quenching is smaller in NMOS （N-Channel Metal-Oxide-Semiconductor Field-Effect Transistor） simulation than that in PMOS＇ （P-Channel Met- N-Oxide-Semiconductor Field-Effect Transistor）, so that from parameter variation view, quenching is beneficial in PMOS SET mitigation. The individual parameter analysis indicates that gate oxide thickness （TOXE） and channel length variation （XL） mostly affect SET response of combinational circuits. They bring 14.58% and 19.73% average WSET difference probabilities for no-quenching cases, and 105.56% and 123.32% for quenching cases.

Unusual Event Detection and Prediction in Real-life Scenes

In this paper,we consider unusual event detection problem in a novel viewpoint and provide an algorithm to solve the problem.The actions or events in the scene is usual or not will eventually be reflected on the changes of some basic features.We summarize these basic event features and propose special representation for each of them.Thus we can model these features in a uniform mode using adaptive Gaussian mixture model.Supervised and unsupervised unusual event detection algorithm can be designed to fit various situations based on this model.The superiority of our model is that it can detect unusual event automatically without to know the determinate model of unusual events.In conclusion,we provide two applications to verify the effectiveness of our model.

Classification of yearly extreme precipitation events and associated flood risk in the Yangtze-Huaihe River Valley

Fifty cases of regional yearly extreme precipitation events （RYEPEs） were identified over the Yangtze-Huaihe River Valley （YHRV） during 1979-2016 applying the statistical percentile method. There were five types of RYEPEs, namely Yangtze Meiyu （YM-RYEPE）, Huaihe Meiyu （HM-RYEPE）, southwest-northeast-oriented Meiyu （SWNE-RYEPE） and typhoon I and II （TC-RYEPE） types of RYEPEs. Potential vorticity diagnosis showed that propagation trajectories of the RYEPEs along the Western Pacific Subtropical High and its steering flow were concentrated over the southern YHRV. As a result, the strongest and most frequently RYEPEs events, about 16-21 cases with average rainfall above 100 mm, occurred in the southern YHRV, particularly in the Nanjing metropolitan area. There have been 14 cases of flood-inducing RYEPEs since 1979, with the submerged area exceeding 120 km2 as simulated by the FloodArea hydraulic model, comprising six HM-RYEPEs, five YM- RYEPEs, two TC-RYEPEs, and one SWNE-RYEPE. The combination of evolving RYEPEs and rapid expansion of urban agglomeration is most likely to change the flood risk distribution over the Nanjing metropolitan area in the future. In the RCP6.0 （RCPS.5） scenario, the built-up area increases at a rate of about 10.41 km2 （10 yr）-t（24.67 km2 （10 yr）-1） from 2010 to 2100, and the area of high flood risk correspondingly increases from 3.86 km2（3.86 km2） to 9.00 kin2（13.51 km2）. Areas of high flood risk are mainly located at Chishan Lake in Jurong, Lukou International Airport in Nanjing, Dongshan in Jiangning District, Lishui District and other low-lying areas. The accurate simulation of flood scenarios can help reduce losses due to torrential flooding and improve early warnings, evacuation planning and risk analysis. More attention should be paid to the projected high flood risk because of the concentrated population, industrial zones and social wealth throughout the Nanjing metropolitan area.