基于聚类的数据加权优化在犯罪预测中的应用

近年来，我国传统暴力犯罪与成年人犯罪呈下降态势，但是，犯罪案由层出不穷。为有效提升公安实践工作中犯罪预测能力，打击各类违法犯罪事件,本文针对犯罪数据，提出一种新型犯罪预测模型。利用密度聚类分析方法将犯罪数据分类，然后进行数据降维提取关键属性生成特征数据，继而对特征数据进行加权优化并采用机器学习的方式对特征数据进行学习，从而预测犯罪案由。实验结果表明，与传统方法相比，本文方法具有更好的预测效果，为公安实践工作中类似案件的侦破和预防，提供新的路径支撑。     

Reducing numerical dissipation in smoke simulation

Numerical dissipation acts as artificial viscosity to make smoke viscous. Reducing numerical dissipation is able to recover visual details smeared out by the numerical dissipation. Great efforts have been devoted to suppress the numerical dissipation in smoke simulation in the past few years. In this paper we investigate methods of combating the numerical dissipation. We describe visual consequences of the numerical dissipation and explore sources that introduce the numerical dissipation into course of smoke simulation. Methods are investigated from various aspects including grid variation, high-order advection, sub-grid compensation, invariant conservation, and particle-based improvement, followed by discussion and comparison in terms of visual quality, computational overhead, ease of implementation, adaptivity, and scalability, which leads to their different applicability to various application scenarios.     

浅议我国上市公司内部控制环境优化

控制环境是内部控制框架的基础,由于我国目前上市公司内部控制体系建设尚处于初级阶段,决定了其内部控制环境呈现出固有弊端.分析了我国上市公司在控制环境方面存在的缺陷,并提出了相应的优化措施,以期能对内部控制环境的完善起到一定的作用.     

稠油微生物开采技术现状及进展

综述了用微生物方法开采稠油的技术现状与进展，论题如下。①概述。②基本方法：异源微生物采油，包括微生物吞吐和微生物驱；本源微生物采油压大港孔店油田的实例。③主要机理，包括产表面活性剂，降解稠油中重质组分及其他。④技术研究，包括机理性、可行性及经济效益研究，列举了国内外6个实例。⑤现场应用，包括国外1个、国内6个实例。⑥该技术的优势及问题。参22。     

铌和钨对γ-TiAl基合金热稳定性的影响

采用光学显微镜(OM)，扫描电镜(SEM)，X射线衍射研究了TiAl—5Nb，TiAl—14．3Nb，TiAl—8Nb—1W，TiAl—12．3Nb-2W四种合金片层组织在1000℃的热稳定性。结果表明，TiAl—12．3Nb-2W合金热稳定性最好，但合金元素对TiAl基合金热稳定性的影响机理还有待进一步的研究。     

川东北飞仙关组碳酸盐岩气藏产能影响因素及压裂酸化新技术探讨

川东北地区飞仙关组碳酸盐岩气藏的储集层条件起好，不论直井还是水平井均可获高产工业气流，投产前的解堵酸化均可实现大幅度增产。在分析介绍该地区气藏地质特征的基础上，全面剖析了影响产能的主要因素，并对多功能深部酸化技术方案和稠化酸加砂压裂技术方案进行了具体探讨。     

Effective Location Based Services with Dynamic Data Management in Mobile Environments

With the proliferation of mobile computing technologies, location based services have been identified as one of the most promising target application. We classify mobile information service domains based on feature characteristics of the information sources and different patterns of mobile information access. By carefully examining the service requirements, we identify the dynamic data management problem that must be addressed for effective location based services in mobile environments. We then devise a general architecture and cost model for servicing both location independent and location dependent data. Based on the architecture and cost model, we propose a set of dynamic data management strategies that employs judicious caching, proactive server pushing and neighborhood replication to reduce service cost and improve response time under changing user mobility and access patterns. Detail behavior analysis helps us in precisely capturing when and how to apply these strategies. Simulation results suggest that different strategies are effective for different types of data in response to different patterns of movement and information access. Shiow-yang Wu is an associate professor of the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan, R.O.C. He received the BS and MS degrees in computer engineering from National Chiao Tung University, Hsinchu, Taiwan, ROC, and the PhD degree in computer science from the University of Texas at Austin in 1984, 1986, and 1995, respectively. His research interests include data/knowledge bases, mobile computing, distributed processing, intelligence information systems, and electronic commerce. Kun-Ta Wu was born in Taipei, Taiwan, R.O.C., in 1976. He received the B.S. degree in computer science from Soochow University, Taipei, Taiwan, R.O.C., in 1999 and the M.S. degree in computer science and information engineering from National Dong Hwa University, Hualien, Taiwan, R.O.C., in 2001. Currently, he is an Assistant Researcher in the Domestic Division at Science and Technology Information Center, National Science Council, R.O.C., as a member of Information Gathering and Analysis Group of National Information and Communication Security Taskforce. His research interests include mobile computing, wireless network and information security.     

基于中压加氢改质方案的炼油流程协同优化

中国石化北京燕山分公司(简称燕山分公司）为增产高附加值产品、提升效益，对炼油系统进行了流程协同优化。中压加氢裂化装置掺炼催化裂化柴油，由加氢裂化方案改为加氢改质方案运行，将改质柴油送入三号催化裂化装置（简称三催化装置）的提升管进行回炼；同时，将焦化蜡油改入加氢裂化装置进行加工，而蜡油加氢装置不再加工焦化蜡油以改善催化裂化原料。协同优化后，中压加氢改质装置的柴油产品十六烷值提高7个单位；三催化装置的液化气收率提高1.96百分点，汽油收率增加0.88百分点，总液体收率增加2.28百分点；高压加氢裂化装置喷气燃料产品的密度（20 ℃）降低至806 kg/m3，烟点为23.8 mm，尾油BMCI由11.8降低至10.8；蜡油加氢装置精制蜡油的饱和分质量分数提高4.68百分点，芳香分质量分数降低5.96百分点，氮质量分数降低0.06百分点，使催化裂化原料性质得以改善。通过将中压加氢改质装置的喷气燃料馏分抽出送催化裂化装置回炼，与回炼改质柴油相比，催化裂化汽油的研究法辛烷值（RON）增加1.0个单位，改质柴油十六烷值提高4.8个单位。通过全炼油板块系统性优化，燕山分公司车用柴油产品的十六烷值由53.5降低至51.5，解决了质量过剩问题。     

提高电脱盐效果的措施

中国石油天然气股份有限公司庆阳石化分公司常压蒸馏装置一、二期技术改造结束后,装置加工能力由0．5 Mt/a增加到1．0 Mt／a,最高时达到1．3 Mt/a。但电脱盐装置脱后原油中盐的质量浓度一直在4．0-5．0 mgNaCL／L居高不下。为了降低脱后原油中盐的质量浓度,提高催化裂化装置催化剂活性,对电脱盐装置进行了技术改造,优化了操作参数,这到了脱后原油中盐的质量浓度小于3 mg- NaCl/L的预期效果,取得了较好的经济效益。