A resource-efficient event algebra

Events play many roles in computer systems, ranging from hardware interrupts, over event-based software architecture, to monitoring and managing of complex systems. In many applications, however, individual event occurrences are not the main point of concern, but rather the occurrences of certain event patterns. Such event patterns can be defined by means of an event algebra, i.e., expressions representing the patterns of interest are built from simple events and operators such as disjunction, sequence, etc.We propose a novel event algebra with intuitive operators (a claim which is supported by a number of algebraic properties). We also present an efficient detection algorithm that correctly detects any expression with bounded memory, which makes this algebra particularly suitable for resource-constrained applications such as embedded systems.     

Measurement and simultaneous compression of multidimensional -ray histograms using address randomizing transforms

In the paper we present efficient algorithm for measurement and simultaneous compression of multidimensional symmetrical γ-ray histograms from event data streams. The compression of data volume is achieved due to both the symmetry of the γ-ray spectra and compression capabilities of the employed randomizing transform. The algorithm of compression is very fast. Acquired compressed data can be later processed in an interactive way.     

A framework for a video analysis tool for suspicious event detection

This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent surveillance video. Ideas and techniques for closing the semantic gap between low-level machine readable features of video data and high-level events seen by a human observer are discussed. An evaluation of the event classification and detection technique is presented and a future experiment to refine this technique is proposed. These experiments are used as a lead to a discussion on the most optimal machine learning algorithm to learn the event representation scheme proposed in this paper.

适应于无记忆进程的pGVT算法和调度策略

TimeWarp并行离散事件模拟中,事件和状态信息被保留,用于可能的回滚处理,时间戳小于GVT的事件和状态不再被保存。针对无记忆进程不对中间状态产生影响的特点,在不影响其他进程执行的前提下,改进已有的pGVT算法和调度策略,减少相关的通讯量和可能出现的回滚,提高整个模拟的效率。     

国内外乡村地区节事影响研究的主要进展及其发展方向述评

近年来,节事在我国广大乡村地区得到快速发展,成为乡村经济发展的重要推动力之一。该文回顾了国内外乡村节事影响研究的主要进展及相关成果,重点从经济影响和社会影响两个维度阐释了乡村节事对举办地影响的综合效用,并对当前乡村节事影响研究中存在的主要问题进行了分析和探讨,同时展望了乡村节事影响研究下一步的研究重点及发展方向。     

“北京798”的“2010艺术空间”设计中空树形结构在中国现实条件下的多维度实践

今天的“北京798”正处于从单纯的艺术区向城市文化旅游区的演变之中,在798核心区里的新建项目“2010艺术空间”引发了作者对798艺术与商业的未来关系的思考。作者用“7983．0”这个概念描述了艺术与商业异质共生的内在联系,并把这种差异性互补的内在联系结合对现场条件及现实功能的回应,演化为一种单一连续的中空树形结构。单一连续的中空使结构产生了内外关系,对内形成艺术空间,对外形成商业空间;从真实结构上看,艺术支撑着商业,从现实运作上看,商业支撑着艺术：树形同时具有的聚或散两种几何关系,使得空间既不是完全的离散化,也不是完全的向心性,而是两者在某种趋势性方向上形成的聚合。建筑师发现了这个结构可能具有的原型潜力,因此,这个个案研究就成为了中空树形结构在中国现实条件下的一次多维度实践,既是回应798艺术与商业现实的关系,也是研究这种结构在构成逻辑、采光、尺度、功能、事件等多重维度上构成     

事件驱动的工作流管理方法及执行引擎

随着经济的飞速发展,企业业务流程构成复杂、多变,而传统的工作流所建立的流程模型只能按照线性的路由执行,已不能满足现实需要。通过引入事件驱动机制,对事件进行建模,并采用事件的发布与订阅机制实现不同流程之间的事件关联,其后详细介绍了事件驱动的工作流系统实现原理。最后,采用工作流服务平台进行仿真和验证。     

东方之冠 中国2010年上海世博会中国馆设计

面对历史与时代的追问,中国2010年上海世博会中国馆的设计给出了鲜明而综合的答案,体现出结合中国元素与时代精神的多视角的设计理念;其设计与实施过程从一开始就受到社会的广泛关注,已经不仅是建筑工程,而成为公众事件,推动设计走向的也不仅是业主和建筑师的意愿,而是社会各界的共同意志的参与.     

Development of an Event Stream Processing System for the Vehicle Telematics Environment

In this letter, we present an event stream processing system that can evaluate a pattern query for a data sequence with predicates. We propose a pattern query language and develop a pattern query processing system. In our system, we propose novel techniques for run‐time aggregation and negation processing and apply our system to stream data generated from vehicles to monitor unusual driving patterns.