摘要：Since most ad hoc mobile devices today operate on batteries,the power consumption becomes an important *** paper proposes a cross-layer design of energy-aware ad hoc on-demand distance vector(CEAODV) routing protocol which adopts cross-layer mechanism and energy-aware metric to improve AODV routing protocol to reduce the energy consumption and then prolong the life of the whole *** CEAODV,the link layer and the routing layer work together to choose the optimized transmission power for nodes and the route for *** link layer provides the energy consumption information for the routing layer and the routing layer chooses route accordingly and conversely controls the link layer to adjust the transmission *** simulation result shows that CEAODV can outperform AODV to save more *** can reduce the consumed energy by about 8%over traditional energy-aware *** the performance is better when the traffic load is higher in the network.

摘要：In generalized linear models with fixed design, under the assumption λ↑_n→∞ and other regularity conditions, the asymptotic normality of maximum quasi-likelihood estimator ^↑βn, which is the root of the quasi-likelihood equation with natural link function ∑i=1^n Xi（yi -μ（Xi′β）） = 0, is obtained, where λ↑_n denotes the minimum eigenvalue of ∑i=1^nXiXi′, Xi are bounded p × q regressors, and yi are q × 1 responses.

摘要：Named entity recognition is a fundamental task in biomedical data mining. In this letter, a named entity recognition system based on CRFs （Conditional Random Fields） for biomedical texts is presented. The system makes extensive use of a diverse set of features, including local features, full text features and external resource features. All features incorporated in this system are described in detail, and the impacts of different feature sets on the performance of the system are evaluated. In order to improve the performance of system, post-processing modules are exploited to deal with the abbreviation phenomena, cascaded named entity and boundary errors identification. Evaluation on this system proved that the feature selection has important impact on the system performance, and the post-processing explored has an important contribution on system performance to achieve better resuits.

摘要：This paper discusses design and implementation method of Business Application Framework based on software patterns, and then presents MVC pattern of architecture and the method of dynamical update promulgation for Business Application Framework. We discuss adaptation of Abstract Factory for the kernel functionality of Business Application Framework, such as data creation, manipulation, composition, etc. It also presents class model and its class structure of Abstract Factory pattern. Finally, we briefly discuss the update, modification, and reconstruction method of Business Application Framework.

摘要：To the issues of low efficiency of conflict resolution method in collaborative design, we proposed a method, which is conflict resolution about collaborative design based on grid *** uses the grid services from the current design points, uses the method of retrospective thinking to find the conflict point by detecting, and then uses the corresponding method to resolve the conflict point according to the conflict characteristic, after that carried on the conflict detection again. If there is still the conflict, resolve the conflict point again, until the conflict no longer exists. This method combines various traditional resolution methods, makes full use of the grid idle high-performance large-scale sharing resources. With this method the collaborative design conflict resolution cost reduced and the conflict resolution efficiency was raised. And then the problem which is not handled completely was then solved, so that the conflict resolution Quality was guaranteed.

摘要：A novel Discrete Wavelet Transform (DWT) based Hidden Markov Module (HMM) for face recognition is presented in this letter. To improve the accuracy of HMM based face recognition algorithm, DWT is used to replace Discrete Cosine Transform (DCT) for observation sequence ex- traction. Extensive experiments are conducted on two public databases and the results show that the proposed method can improve the accuracy significantly, especially when the face database is large and only few training images are available.

摘要：Parallel virtual machine(PVM) has been a prevalent parallel computing environment for heterogeneous systems The generic portion of PVM is implemented on the basis of TCP/IP in result of high cost and low performance in communication This paper describes the design and implementation of GMPVM(parallel virtual machine based on Myrinet message passing system), a PVM portion based on Myrinet's GM APl(message system on Myrinet) The goal of this work is to make the maximum use of the high bandwidth and low latency of Myrinet, to provide PVM portion with a user-level, light weighted communication subsystem GMPVM is developed on ZiQiang-2000 (SUHPCS) The difference between PVM and OMPVM is figured out here, and also some optimization technique discussed

摘要：The present paper proposes an optimization design method for the Doherty output matching network(OMN)using impedance–phase hybrid objective function constraints,which possesses the capability of enhancing the efficiency consistency of the Doherty power amplifier(DPA)using integrated enhancing reactance(IER)during the back-off power(BOP)*** calculating the desired reactance for an extended BOP range and combining it with the two-impedance matching method,the S-parameters of the OMN are ***,the impedance and phase constraints of the OMN are proposed to narrow the distribution range of the ***,a fragmenttype structure is employed in the OMN optimization so as to enhance the flexibility of the circuit optimization *** validate the proposed method,a 1.7–2.5 GHz symmetric DPA with a large BOP range was designed and *** results demonstrate that across the entire operating frequency band,the saturated output power is>44 dBm,and the efficiency ranges from 45%to 55%at a 9-dB BOP.

摘要：由于目前可视化的数据更具数量大、分布性、自治性、异构性和动态性,因此,对Web服务技术应用于网格环境下的分布式可视化进行研究,分析了其可能性与必要性;阐述了基于Web服务的分布式可视化系统应完成的功能,并据此设计了可视化系统的结构,它由可视化应用层、可视化支撑层以及服务注册中心、各种可视化服务资源4部分组成;说明了系统的工作流程,最后以一个实例验证了系统的有效性。

摘要：Machine learning (ML) has been widely used todesign and develop new materials owing to its low computational cost and powerful predictive capabilities. In recentyears, the shortcomings of ML in materials science have gradually emerged, with a primary concern being the scarcity ofdata. It is challenging to build reliable and accurate ML modelsusing limited data. Moreover, the small sample size problemwill remain long-standing in materials science because of theslow accumulation of material data. Therefore, it is importantto review and categorize strategies for small-sample learningfor the development of ML in materials science. This reviewsystematically sorts the research progress of small-samplelearning strategies in materials science, including ensemblelearning, unsupervised learning, active learning, and transferlearning. The directions for future research are proposed, including few-shot learning, and virtual sample *** importantly, we emphasize the significance of embedding material domain knowledge into ML and elaborate on thebasic idea for implementing this strategy.