共查询到20条相似文献，搜索用时 125 毫秒
1.
“全自动化”ORM实现了POJO与数据库表之间、Attribute与Columm之间的映射,以及SQL的自动生成和执行。而iBATIS的着力点,则在于POJO与SQL之间的映射关系。也就是说,iBATIS并不会为程序员在运行期自动生成SQL语句。利iBATIS我们可以做到代码和SQL的分离,只要SQL能够解决的问题,iBATIS就能帮我们较容易的解决,同时也使我们的项目对某一框架的依赖程度变小。这将极大的降低项目风险,减少解决复杂问题的时间,使项目的维护变得简单： 相似文献
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内容耗散网络的缓存污染攻击命中率高,难以检测。研究内容耗散网络缓存污染攻击的命中率与域间传输阈值的关系,对降低攻击命中率提供控制模型基础。提出一种基于零周期数相变自适应冗余信息抑制的内容耗散网络缓存污染攻击命中阈值分析模型,提高对缓存污染攻击的检测概率。设计内容耗散网络及缓存污染攻击系统模型,基于url内容块检测模型,得到缓存污染攻击命中判决准则,通过AS-BOOST使用并行的读写操作,进行零周期数相变自适应冗余信息抑制,得到优化阈值分布下的判决准则。实验结果表明,采用该算法能通过合理设定域间阈值,达到消除缓存污染攻击的效果,实现对内容耗散网络的安全控制。 相似文献
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功率自激网络在攻击容忍系统设计中,由于最近邻链缓存污染,导致对功率自激网络的攻击成功率较高,难以实现有限的拦截。提出采用最近邻链缓存污染判决门限控制的方法,通过自适应门限控制,提高对攻击信号的拦截概率。建立功率自激网络及缓存污染攻击系统模型,假设功率自激网络路由的内容流行度服从Zipf分布,得到入侵最近邻链缓存污染拦截在攻击容忍系统中的功率谱密度特征。采用最大似然估计进行攻击容忍系统中的HMM参数的更新,设计最近邻链缓存污染判决门限控制的方法,改进自适应判决门限控制算法,提高对攻击信号的拦截概率,达到消除缓存污染攻击的效果,实现对内容耗散网络的安全控制。仿真结果表明,该算法能有效实现了对缓存污染的拦截和冗余数据去除,缓存污染攻击拦截率,保证了功率自激网络的安全。 相似文献
4.
针对移动计算环境,提出了移动数据库自适应缓存管理概念,给出了移动数据库自适应缓存模型。针对移动位置服务提出了弹性分组压缩位向量法,针对断接性提出了主动夭折与通知确认机制相结合法。详细给出了移动数据库自适应缓存调度算法及实现。最后通过移动手机预约挂号系统的应用验证了该方法的有效性。实际运行结果表明它能大大改善移动应用响应时间、降低系统资源开销,在支持移动位置服务及断接性等方面具有较好的性能,从而提升移动应用整体性能。 相似文献
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介绍了.NET在线测试系统的设计方案.针对在线测试对系统性能要求高的特点,通过在线学习测试、考试管理、数据缓存、页面缓存等技术对系统性能进行优化. 相似文献
6.
针对传统的照片冲印管理方式上的不足,构建了基于Web的在线冲印服务系统。讨论了Web系统体系结构、数据库设计以及程序实现的方法。并利用ASP．NET、C#、ADO．NET等技术,实现了照片冲印的全过程管理功能。同时,采用了存储过程、XML、数据缓存等技术对系统性能进行了优化,提高了系统的性能。 相似文献
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传统的海量资源存储技术采用单机存储的方法,无法保证数据存储的高速度和大容量,并且一般采用固定频率工作,无法保证系统的高能效。为此提出一种基于能效控制的DctAF框架云缓存技术,以分布式缓存的系统能效作为研究对象,以DctAF缓存框架为模板建立了云平台的分布式缓存系统框架,采用T_PCA算法对缓存数据进行有效压缩,大大减小存储到云中的数据量。实验表明,T_PCA算法能够稳定的对数据实现压缩,系统数据压缩率大约为60.2%,分布式缓存技术的读写速度远远高于传统存储技术,且自适应频率模式具有更高的能效。 相似文献
9.
在卷烟生产的条盒输送中,装封箱区采用集中布置,一般装封箱区距离卷包区距离较远,条盒输送系统线路冗长复杂,且一条输送线对接多台卷包机组,一旦条盒输送系统线路发生故障,条盒就不能有效输送,只能人工装箱或停机等待,影响整个生产线的效率。为了解决以上问题,需要设计一种分散布局于各包装机末端,与包装机、条盒输送系统有机接合的自动缓存库,在条盒输送系统线路发生故障时,能够自动缓存卷包机组输出的条盒,同时在卷包机组停机时将缓存库的缓存输送到条盒输送系统,以便最大限度地提高设备利用率,进而提高生产效率。介绍了一种用于卷烟生产流程的条盒输送系统,详述了缓存装置的功能及结构组成,并对补条运行模式下的补条策略进行了论述。 相似文献
10.
《科技通报》2015,(8)
对云计算系统中的漂移数据中心分类区的准确确定,可以提高云计算系统的扩展能力和缓存能力。传统方法采用线性差分智能群识别方法实现中心分类区的确定,导致漂移数据的群辨识效果不好。提出一种基于粒子群聚类的云计算系统中数据中心分类区的确定算法模型,并进行仿真实现。构建云计算系统网络激励传播机制,实现资源负载均衡,把云计算系统的存储数据结构定义为一个四叉树,构建云计算网格环境下空间资源调度框架体系,进行云计算系统的漂移数据特征提取,使得资源负载均衡达到最优值,实现算法改进。实验得出,模型对云计算系统的漂移数据中心分类区确定准确,数据融合精度较高,聚类性好,云计算系统的扩展指数提高13%,缓存执行能力提高20.5%,展示较好的性能。 相似文献
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在Ad hoc网络层次式组播路由协议中,分簇算法对于协议的性能有着至关重要的作用,首先详细分析了WCA算法,然后针对其不足提出了改进的EWCA算法,最后利用网络仿真软件NS对EWCA算法进行了仿真实验与分析。 相似文献
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本文采用数据挖掘技术和情报语言学方法 ,构建了一个可以用于从因特网上提取信息、进行自动标引和自动分类的系统 ,提供了一种创建自动分类知识库的新方法 ;提出了一种用于主题抽取的位置加权算法 ,研制了一种改进汉语同义词识别性能的新方法 ,并在自动分类时运用了这种语义相似度识别算法。最后还对该系统性能进行了测试 相似文献
13.
《Journal of The Franklin Institute》2022,359(17):10172-10205
Recently, the sparsity-aware sign subband adaptive filter algorithm with individual-weighting-factors (S-IWF-SSAF) was devised. To accomplish performance enhancement, the variable parameter S-IWF-SSAF (VP-S-IWF-SSAF) algorithm was developed through optimizing the step-size and penalty factor, respectively. Different from the optimization scheme, we devise a family of variable step-size strategy S-IWF-SSAF (VSS-S-IWF-SSAF) algorithms based on the transient model of algorithms via minimizing the mean-square deviation (MSD) on each iteration with some reasonable and frequently adopted assumptions and Price's theorem. And in order to enhance the tracking capability, an effective reset mechanism is also incorporated into the proposed algorithms. It is worth mentioning that the presented algorithms could acquire lower computational requirements and exhibit higher steady-state estimation accuracy obviously and acceptable tracking characteristic in comparison to the VP-S-IWF-SSAF algorithm. In addition, the stable step-size range in the mean and mean square sense and steady-state performance are concluded. And the computational requirements are exhibited as well. Monte-Carlo simulations for system identification and adaptive echo cancellation applications certify the proposed algorithms acquire superior performance in contrast to other related algorithms within various system inputs under impulsive interference environments. 相似文献
14.
文献著者消歧是人名消歧的一种,近年来引起了学术界的广泛关注。其中,文献聚类方法是文献著者消歧的重要方法,但其实验效果往往不佳。基于此,对文本聚类K—means方法进行改进,并在此基础上来实现文献著者消歧。实验结果表明,改进的K—means算法能有效提高文献著者消歧的实验效果。 相似文献
15.
《Information processing & management》2023,60(2):103205
Personalized recommender systems have been extensively studied in human-centered intelligent systems. Existing recommendation techniques have achieved comparable performance in predictive accuracy; however, the trade-off between recommendation accuracy and diversity poses new challenges, as diversification may lead to accuracy loss, whereas it can solve the over-fitting problem and enhance the user experience. In this study, we propose a heuristic optimization-based recommendation model that jointly optimizes accuracy and diversity performance by obtaining a set of optimized solutions. To establish the best accuracy-diversity balance, a novel trajectory-reinforcement-based bacterial colony optimization algorithm was developed. The improved bacterial colony optimization algorithm was comprehensively evaluated by comparing it with eight popular and state-of-the-art algorithms on ten benchmark testing problems with different degrees of complexity. Furthermore, an optimization-based recommendation model was applied to a real-world recommendation dataset. The results demonstrate that the improved bacterial colony optimization algorithm achieves the best overall performance for benchmark problems in terms of convergence and diversity. In the real-world recommendation task, the proposed approach improved the diversity performance by 1.62% to 8.62% while maintaining superior (1.88% to 40.32%) accuracy performance. Additionally, the proposed personalized recommendation model can provide a set of nondominated solutions instead of a single solution to accommodate the ever-changing preferences of users and service providers. Therefore, this work demonstrates the excellence of an optimization-based recommendation approach for solving the accuracy-diversity trade-off. 相似文献
16.
在不降低传统Rijndael加密系统安全性的前提下,使用混沌Logistic映射来替代传统Rijindael加密系统中的部分转换算法,改进传统Rijndael加密系统内部通用性差的缺点,不仅降低了系统的实现成本,而且提高了系统的通用性并增强其加密系统的安全性. 相似文献
17.
合理的Cache预取能有效减少流水线的等待延时,提高CPU性能。文章提出了一种针对ICache的预取算法,把非条件转移指令预取和下一行预取存入预取Buffer,只有失效指令才存入ICache,有效提高了ICache的存储空间利用率,降低同一路径再次失效。 相似文献
18.
《Journal of The Franklin Institute》2023,360(12):8277-8299
This paper is concerned with the problem of adaptive event-triggered (AET) based optimal fuzzy controller design for nonlinear networked control systems (NCSs) characterized by Takagi–Sugeno (T–S) fuzzy models. An improved AET communication scheme with a memory adaptive rule is proposed to enhance the utilization of the state response vertex data. Different from the existing ET based results, the improved AET scheme can save more communication resources and acquire better system performance. The sufficient criteria of performance analysis and controller design are presented for the closed-loop control system subject to mismatched membership functions (MFs) and AET scheme. And then, a new MFs online learning algorithm on the basis of the gradient descent approach is employed to optimize the MFs of fuzzy controller and obtain optimal fuzzy controller for further improving system performance. Finally, two simulation examples are presented to verify the advantage and effectiveness of the provided controller design technique. 相似文献
19.
Masaki Eto 《Information processing & management》2019,56(6):102046
This study proposes a novel extended co-citation search technique, which is graph-based document retrieval on a co-citation network containing citation context information. The proposed search expands the scope of the target documents by repetitively spreading the relationship of co-citation in order to obtain relevant documents that are not identified by traditional co-citation searches. Specifically, this search technique is a combination of (a) applying a graph-based algorithm to compute the similarity score on a complicated network, and (b) incorporating co-citation contexts into the process of calculating similarity scores to reduce the negative effects of an increasing number of irrelevant documents. To evaluate the search performance of the proposed search, 10 proposed methods (five representative graph-based algorithms applied to co-citation networks weighted with/without contexts) are compared with two kinds of baselines (a traditional co-citation search with/without contexts) in information retrieval experiments based on two test collections (biomedicine and computer linguistic articles). The experiment results showed that the scores of the normalized discounted cumulative gain ([email protected]) of the proposed methods using co-citation contexts tended to be higher than those of the baselines. In addition, the combination of the random walk with restart (RWR) algorithm and the network weighted with contexts achieved the best search performance among the 10 proposed methods. Thus, it is clarified that the combination of graph-based algorithms and co-citation contexts are effective in improving the performance of co-citation search techniques, and that sole use of a graph-based algorithm is not enough to enhance search performances from the baselines. 相似文献
20.
《Journal of The Franklin Institute》2021,358(18):9818-9840
The piecewise-linear characteristics often appear in the nonlinear systems that operate in different ways in different input regions. This paper studies the identification issue of a class of block-oriented systems with piecewise-linear characteristics. The asymmetric piecewise-linear nonlinearity is expressed as a linear parametric representation through introducing an appropriate switching function, then the identification model of the system is derived by using the key term separation technique. On this model basis, a multi-innovation forgetting gradient algorithm is presented to estimate the unknown parameters. To further enhance the identification accuracy, the filtering identification model of the system is derived by changing the structure of the system without changing the relationship between the input and output. Further, a data filtering-based multi-innovation forgetting gradient algorithm is proposed through the use of the data filtering technique. A simulation example is employed to illustrate that the proposed approaches are effective for parameter estimation and the data filtering-based multi-innovation forgetting gradient algorithm has better estimation performance. 相似文献