海量船舶自动识别系统中数据检索系统的设计与实现

针对船舶自动识别系统( AIS)数据的发送周期快,中国沿海的船舶数量多的问题,利用键值对技术和分布式数据库构建海量船舶自动识别系统。通过船舶的移动通信业务标识码( MMSI)和船舶的AIS信息组成键值对,实现单船长期轨迹的存储和快速检索利用四叉树数据结构实现了区域数据的快速检索,实验结果表明本文构建的系统实现了海量AIS数据的存储并且对长期船舶数据查询速度提高6倍以上。     

Fuzzy decision fusion of complementary experts based on evolutionary cepstral coefficients for phoneme recognition

Optimal representation of acoustic features is an ongoing challenge in automatic speech recognition research. As an initial step toward this purpose, optimization of filterbanks for the cepstral coefficient using evolutionary optimization methods is proposed in some approaches. However, the large number of optimization parameters required by a filterbank makes it difficult to guarantee that an individual optimized filterbank can provide the best representation for phoneme classification. Moreover, in many cases, a number of potential solutions are obtained. Each solution presents discrimination between specific groups of phonemes. In other words, each filterbank has its own particular advantage. Therefore, the aggregation of the discriminative information provided by filterbanks is demanding challenging task. In this study, the optimization of a number of complementary filterbanks is considered to provide a different representation of speech signals for phoneme classification using the hidden Markov model (HMM). Fuzzy information fusion is used to aggregate the decisions provided by HMMs. Fuzzy theory can effectively handle the uncertainties of classifiers trained with different representations of speech data. In this study, the output of the HMM classifiers of each expert is fused using a fuzzy decision fusion scheme. The decision fusion employed a global and local confidence measurement to formulate the reliability of each classifier based on both the global and local context when making overall decisions. Experiments were conducted based on clean and noisy phonetic samples. The proposed method outperformed conventional Mel frequency cepstral coefficients under both conditions in terms of overall phoneme classification accuracy. The fuzzy fusion scheme was shown to be capable of the aggregation of complementary information provided by each filterbank.     

超超临界给水自启停控制系统方案设计与分析

为了使得火电机组启动停止过程中操作更精准、能源更节约,提出一种给水系统自启停功能的设计方案并对其进行全面分析,还进一步提出给水系统与模拟量控制系统全程控制的接口问题.对贯穿机组运行的整个过程的全程给水过程的功能组进行划分并对各个功能组的功能进行介绍.针对给水系统自启停控制过程的特点和难点,对全程给水在升负荷阶段中自动并/退泵与干湿态转换进行全面分析并提出了特殊的控制策略,最终实现从点火至满负荷过程中的全程自动控制.     

Application execution path analysis for the automatic parallelisation of binary codes in the Intel x86 platform

Traditionally, computer programs have been developed using the sequential programming paradigm. With the advent of parallel computing systems, such as multicore processors and distributed environments, the sequential paradigm became a barrier to the utilisation of the available resources, since the program is restricted to a single processing unit. To address this issue, we propose a transparent automatic parallelisation tool with a binary rewriter. The steps of our approach are: the disassembly of the Intel x86 application, its transformation into an intermediary language; the analysis of this intermediary representation to obtain the flow and dependency graphs; the partitioning of the application into parallel units, using the obtained graphs; and, finally, the reassembly of the application back into the original Intel x86 architecture. By transforming the compiled application software, we aim at obtaining a program which can better explore the parallel resources, with no extra effort required from users or developers.     

Optimal Terminal Iterative Learning Control for the Automatic Train Stop System

The train stop control is a typical set‐point control task, where only the final state (i.e., the terminal train stop position) is of concern and specified. For such a control problem, an optimal terminal iterative learning control (TILC) approach is presented in this paper, where the stopping position and initial braking speed are chosen as the terminal system output and the control input, respectively. The controller design only depends on the measured input/output (I/O) data without requiring any modeling information of the train operation system, and the learning gain is updated by the system I/O data iteratively to accommodate the system uncertainties. The monotonic convergence of the terminal tracking error is guaranteed by rigorous mathematical analysis. Extensive simulation results are provided to show the applicability and effectiveness of the proposed approach.     

A novel approach to generate MCQs from domain ontology: Considering DL semantics and open-world assumption

Ontologies are structures, used for knowledge representation, which model domain knowledge in the form of concepts, roles, instances and their relationships. This knowledge can be exploited by an assessment system in the form of multiple choice questions (MCQs). The existing approaches, which use ontologies expressed in the Web Ontology Language (OWL) for MCQ generation, are limited to simple concept related questions — “What is C?” or “Which of the following is an example of C?” (where $C$ is a concept symbol) — or analogy type questions involving roles. There are no efforts in the literature which make use of the terminological axioms in the ontology such as existential, universal and cardinality restrictions on concepts and roles for MCQ generation. Also, there are no systematic methods for generating incorrect answers (distractors) from ontologies. Distractor generation process has to be given much importance, since the generated distractors determine the quality and hardness of an MCQ. We propose two new MCQ generation approaches, which generate MCQs that are very useful and realistic in conducting assessment tests, and the corresponding distractor generating techniques. Our distractor generation techniques, unlike other methods, consider the open-world assumption, so that the generated MCQs will always be valid (falsity of distractors is ensured). Furthermore, we present a measure to determine the difficulty level (a value between 0 and 1) of the generated MCQs. The proposed system is implemented, and experiments on specific ontologies have shown the effectiveness of the approaches. We also did an empirical study by generating question items from a real-world ontology and validated our results with the help of domain experts.     

杭州市清泰水厂膜处理自控系统方案比选

结合杭州市清泰水厂净水技术改造工程,介绍了膜处理自控系统的特点和要求,就三个膜处理自控系统方案进行了分析和总结。通过对比,选用了方案三,该方案实现了每一膜组的冗余热备控制,较好地达到了设计要求,可靠性高。     

自控系统在蚕种生产中的应用

在蚕种生产中引进白控系统,以改善老式蚕种培育方法效率低的问题。文中详细的介绍了自控系统的整体架构和蚕种生产的工艺流程,并就系统的安全性采取了远程／就地控制和冗余设计。系统通过上位机组态和网络发布,使操作人员和管理者能对生产现场状态进行实时监控和管理。     

利用语句结构信息的机器翻译自动评测初探

机器翻译评测对机器翻译有着极其重要的意义,它对翻译系统性能的提高做出了很大的贡献,同时促进了机器翻译的发展.本文在HNC机器翻译策略的基础上,对翻译语料的句类转换和句式转换做了初步的研究,并利用句类转换和句式转换的理论,建立了基于句类信息的自动评测的打分机制.     

运用Excel建立考试试卷自动评分系统

本文通过一个案例,运用Excel的设置、计算、隐藏、保护以及工作表的引用链接等方法,从而方便、快速、准确完成电子试卷的录入、成绩自动汇总和分析。