Digital Signal Processing Based Real Time Vehicular Detection System

Traffic monitoring is of major importance for enforcing traffic management policies. To accomplish this task, the detection of vehicle can be achieved by exploiting image analysis techniques. In this paper, a solution is presented to obtain various traffic parameters through vehicular video detection system( VVDS). VVDS exploits the algorithm based on virtual loops to detect moving vehicle in real time. This algorithm uses the background differencing method, and vehicles can be detected through luminance difference of pixels between background image and current image. Furthermore a novel technology named as spatio-temporal image sequences analysis is applied to background differencing to improve detection accuracy. Then a hardware implementation of a digital signal processing (DSP) based board is described in detail and the board can simultaneously process fourchannel video from different cameras. The benefit of usage of DSP is that images of a roadway can be processed at frame rate due to DSP‘s high performance. In the end, VVDS is tested on realworld scenes and experiment results show that the system is both fast and robust to the surveillance of transportation.     

离心泵特性曲线测定中的Excel 2000的应用

简述了“离心泵特性曲线测定”中实验原理、实验装置和实验方法;重点探讨了 Excel 2000在化学工艺学实验数据处理中的应用。     

铁炭微电解法在单晶硅生产废水处理中的应用

介绍了某单晶硅生产改扩建各工序产生废水的水量、水质，并对原废水处理站存在的问题进行分析。在原废水处理站的基础上，采用生铁屑和焦炭组成微电解氧化还原塔作为单晶硅生产废水处理的预处理，取得较好的效果．     

The developing mental lexicon: evidence from morphological priming of irregular Hebrew forms

This study investigated the development of automatic word recognition processes, in particular the development of the morphological level of processing. We examined masked priming of Hebrew irregular forms at two levels of reading experience. Both third- and seventh-grade children showed morphological priming for defective roots when primes and targets conformed to the canonical morphological structure, containing all three letters of the roots, and also when the surface form of the primes and targets contained only two of the root letters. However, priming was not observed when primes and targets did not overlap in the surface form of the roots, i.e. the full three-letter root as prime and only two root letters in the target. These results suggest that both tri- and bi-consonantal representations of defective roots exist in the mental lexicon of young readers. The formation of interconnections between these allomorphic representations, however, requires more extensive reading experience.     

广东加工贸易转型升级对策研究

加工贸易一直是广东省对外贸易的重要组成部分和利用外资的重要方式,已经成为广东对外经济贸易持续快速发展的主要推动力。在经济转型的新的发展阶段,研究促进广东加工贸易的转型升级对策,对促使广东省加工贸易向更高技术含量、更大增值环节发展,实现加工贸易持续健康发展均有着深远意义。     

掠夺性科技期刊与科技期刊中掠夺性现象的特征研究

近年来,由于开放存取(OA)出版模式的兴起,掠夺性科技期刊的出现也引起国内外学者的关注。国内科技期刊中也存在着类似的管理和学术信誉差、商业利益至上的现象,并对正常的科研成果和出版资源形成了干扰和掠夺。本文将这些存在于国内外科技期刊中的掠夺现象一并回顾和总结,认为一方面国内科技期刊从业者,应重视和适应新兴OA期刊的发展趋势,另一方面相关科研管理部门也应逐步建立措施,完善掠夺性期刊预警制度。     

中文自动问答中旬子相似度计算研究

句子相似度计算是自动问答系统的重要理论基础和关键实现技术.目前,用于中文自动问答系统的句子相似度计算方法很多,由于缺乏系统的分析,给研究人员带来了较大的不便.依据所利用的特征信息,可以将这些方法分为四类,即基于关键词信息、基于语义信息、基于句法结构信息以及基于多重信息.通过对各类方法实验结果的比较,指出各自的优势和不足.同时指出,基于多重信息的方法是当前的主流方法,实现不同特征信息的最佳权重分配是该类方法今后的研究重点.另外,还提出一个有关相似度概念认识上的看法,即对于中文自动问答系统,实质上依据的是句子的相关度,而不是句子的相似度.通过本文的研究,旨在为中文自动问答领域的句子相似度计算研究提供一定的参考.     

欧美出版社开放存取期刊论文处理费研究

论文处理费伴随着开放存取期刊的出现而进入公众视野。20世纪末,开放存取期刊由于没有成熟的商业盈利模式,国际上知名的出版社均对这种新型数字出版方式表示过疑虑。而现今,传统出版集团相继发行各自的开放存取平台,这主要得益于论文处理费的推行。本文介绍欧美各大知名出版社旗下开放存取期刊论文处理费的相关收费情况,分析论文处理费收取的完整体系,以期为国内学术期刊开放存取平台的发展提供策略建议。     

在桥头堡战略背景下重建滇西宝玉石集散地和加工中心

滇西边境地区的保山、德宏自明清以来就是我国传统的宝玉石集散地和加工中心,由于诸多的原因一度衰落或者发展的不理想;在桥头堡发展战略的背景下,滇西边境地区成为我国西南对外开放的前沿,具有发展珠宝业特殊的地缘优势和资源优势,将滇西边境地区重新建设成为宝玉石交易的集散地和加工中心,从现实情况分析是可行的.     

Document replication strategies for geographically distributed web search engines

Large-scale web search engines are composed of multiple data centers that are geographically distant to each other. Typically, a user query is processed in a data center that is geographically close to the origin of the query, over a replica of the entire web index. Compared to a centralized, single-center search engine, this architecture offers lower query response times as the network latencies between the users and data centers are reduced. However, it does not scale well with increasing index sizes and query traffic volumes because queries are evaluated on the entire web index, which has to be replicated and maintained in all data centers. As a remedy to this scalability problem, we propose a document replication framework in which documents are selectively replicated on data centers based on regional user interests. Within this framework, we propose three different document replication strategies, each optimizing a different objective: reducing the potential search quality loss, the average query response time, or the total query workload of the search system. For all three strategies, we consider two alternative types of capacity constraints on index sizes of data centers. Moreover, we investigate the performance impact of query forwarding and result caching. We evaluate our strategies via detailed simulations, using a large query log and a document collection obtained from the Yahoo! web search engine.