Efficient closed high-utility pattern fusion model in large-scale databases

High-Utility Itemset Mining (HUIM) is considered a major issue in recent decades since it reveals profit strategies for use in industry for decision-making. Most existing works have focused on mining high-utility itemsets from databases showing large amount of patterns; however exact decisions are still challenging to make from that large amounts of discovered knowledge. Closed High-utility itemset mining (CHUIM) provides a smart way to present concise high-utility itemsets that can be more effective for making correct decisions. However, none of the existing works have focused on handling large-scale databases to integrate discovered knowledge from several distributed databases. In this paper, we first present a large-scale information fusion architecture to integrate discovered closed high-utility patterns from several distributed databases. The generic composite model is used to cluster transactions regarding their relevant correlation that can ensure correctness and completeness of the fusion model. The well-known MapReduce framework is then deployed in the developed DFM-Miner algorithm to handle big datasets for information fusion and integration. Experiments are then compared to the state-of-the-art CHUI-Miner and CLS-Miner algorithms for mining closed high-utility patterns and the results indicated that the designed model is well designed for handling large-scale databases with less memory usage. Moreover, the designed MapReduce framework can speed up the mining performance of closed high-utility patterns in the developed fusion system.     

我国高铁建设融资模式再探索

作为公共基础设施建设的重要组成部分,高铁建设具有自然垄断性、地方公共产品性、成本积聚性以及收益长期性等经济属性。高铁建设一般采取政府投资为主、BOT项目融资为辅的融资模式,而政府投资和BOT项目融资模式都存在一定的限制,为满足高铁建设的巨大资金需求,需要探索和尝试更可行、合理的融资模式,制定支持性政策和配套制度。     

毛毡编织技艺与图案研究

毛毡的发明迎合了蒙古人游牧生活方式的特点,体现了蒙古人的审美观念,随着社会生产力的发展,其使用范围也不断扩展。文章介绍了蒙古族毛毡的历史传承及文化底蕴,并对制毡过程及毛毡编织图案做了详细介绍和分析。     

Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell’s pattern search method

An integrated technique that embeds civilized swarm optimization (CSO) and Powell’s pattern search (PPS) method is proposed to search economic dispatch of combined heat and power (CHP) dispatch problem. In the proposed technique, CSO is selected as global search technique and PPS is undertaken as a local search technique. Civilized swarm optimization is having attributes of particle swarm optimization (PSO) and society civilization algorithm (SCA). In CSO, mutually interacting societies forms the civilization. The positions of society particles are updated through the guidance of own leader along with their best positions. The best performing particle of CSO is further improved by PPS method based on a certain set criterion. The PPS method is based on the conjugate search direction method and does not require the gradient or Hessian matrix of the function to be optimized. The CHP dispatch problem has a mutual dependency of demand and heat-power capacity of generating units, so it requires an effective constraint handling strategy. In this work, variable reduction strategy with exterior penalty method is applied to satisfy equality constraints. The proposed technique is tested on five CHP test systems considering valve-point loading effect, prohibited operating zones constraint, and transmission losses. The obtained results are compared to the results reported in the literature and found satisfactory. Further, for verification of statistical performance of the proposed technique, t-test and Wilcoxon signed rank test is also performed.     

绿化系统与高层住宅的共生模式与策略

该文结合生物学＂共生＂理论,以共生模式为切入点,探讨绿化系统与高层住宅的结合问题。文中分析了高层住宅中点共生、间歇共生、连续共生、一体化共生四种绿化模式,提出了结合功能、物种多样化和协同共管的共生策略。     

基于改进FAHP方法谈我国铁路BOT融资项目的风险

解析了铁路BOT融资项目各风险因素,运用改进的FAHP方法对其进行了研究,计算出各风险因素权重,找出其中的主要风险,为项目风险决策提供依据,对传统FAHP方法进行改进,提高其判断矩阵的一致性,保证分析结果的可靠性。     

“物理光学”研究型教学模式探索与实践

针对专业课的特点和教学要求,本文研究探索如何将研究型教学理念贯穿于"物理光学"教学过程中,通过对研究型教学内涵的分析,介绍了教学改革的具体措施与实施过程。实践表明,研究型教学理念的应用有助于调动学生的积极性,培养学生的创新能力和团队意识,取得很好的教学效果。     

工厂模式在分层架构中的应用

分析了工厂模式的特点,阐述了分层架构体系的设计思路。以数据访问层的设计为例,从设计模式的角度探讨了可复用的数据访问层的实现方法,并重点分析了工厂模式的具体应用过程。     

Efficient parallel automata construction for hybrid resource-impelled data-matching

We are presenting an innovative, massively-parallel heterogeneous architecture for the very fast construction and implementation of very large Aho–Corasick and Commentz-Walter pattern-matching automata, commonly used in data-matching applications, and validate its use with large sets of data actively used in intrusion detection systems. Our approach represents the first known hybrid-parallel model for the construction of such automata and the first to allow self-adjusting pattern-matching automata in real-time by allowing full-duplex transfers at maximum throughput between the host (CPU) and the device (GPU). The architecture we propose is easily scalable to multi-GPU and multi-CPU systems and benefits greatly from GPU acceleration, also relying on a highly-efficient storage model for the automata and includes on-demand support for regular-expression matching, as well as support for custom heuristics to be built on top of the architecture, at different processing stages.