改进的符号时间序列分析方法及其在电机故障诊断中的应用

提出了一种改进的基于符号时间序列分析的电机异常探测方法,该方法自适应地将符号序列中出现符号最多的符号区间重新划分为2个新的符号区间,使得数据密集区间可以分配到相对更多的符号,而数据稀疏区间则分配到较少的符号,提高了符号对于信号变化的灵敏度。电机转子断条故障的诊断实验结果表明:该方法较平均划分区间的方法对于电机异常诊断有着更高的灵敏度以及更好的鲁棒性和可靠性。

一种新型四自由度并联机器人运动学正问题的求解

对一种新型四自由度并联机器人运动学正问题进行了研究，利用３个变量构造 出求解正问题的３个约束方程，然后运用符号计算和析配消元法推导出了只含有一 个变元的３２次多项式方程，并且应用计算机软件系统Ｍａｔｈｅｍａｔｉｃａ进行了求正问 题实解的数值验证。

基于模糊统计的模糊Petri网token确定方法

在模糊Petri网应用研究中,普遍存在模糊token由专家直接给出或主观假定的问题。基于这种情况,提出了通过模糊统计法来获得库所的模糊token,为成功应用模糊Petri网理论创造了条件。给出了计算模糊token的通用形式化算法。实例论证了模糊统计法在求取模糊token时的可行性与有效性。

基于CAN总线的分布式数据采集与控制系统

随着电子技术和计算机技术的不断发展，工业生产过程的控制系统正在向着智能化、数字化和网络化的方向发展。传统的集散控制方式和计算机分层控制方式已经开始让位于智能终端与网络结合的总线网络控制方式。当今，在工厂中过程控制环境下的分布式自动化系统变得越来越复杂，尤其系统内部的各设备之间需要快速交换大量的信息，以便实现对被控系统更为精确的控制和提供一些辅助的评价函数。这就意味着要不断增加带宽和提高通信速率以满足网络通信的需要。在现有的多种可利用网络设备中，CAN总线以其清晰的定义、极高的可靠性及其独特的设计，被认为是最能有效地解决这一问题的途径之一。而且市场上基于通信技术的产品中，就实时性考虑，由于CAN总线采用的非表意性的通信方式，因此其结构更为简单，实时性更好。基于此背景，我们以CAN总线作为通信媒介，将分布于各控制现场的传感器、执行器和控制器有序地连接起来，构成了一个基于CAN总线的分布式局域网络控制系统。本文首先介绍了基于CAN总线的分布式数据采集与控制系统的总体结构。然后从硬件方面描述了基于CAN总线的通信协议转换单元、数据采集单元和输出控制单元的功能、硬件配置及各单元功能的具体实现过程，给出了各单元的性能指标。软件方面，以C语言作为平台，开发了基于CAN总线的上位计算机管理与监控软件，实现了对整个网络设备的系统管理和系统控制功能。对于该总线系统，作者运用了PID控制和模糊控制算法实现了对水箱液位的控制，达到了理想的效果。基于CAN总线的控制系统很好地解决了集散控制系统难以解决的难题，模糊控制的应用能很好地把总线控制系统应用到具有非线性、大时滞和难于获得精确模型的控制系统中。

线索语义相容性的研究

With the studies of the Stimulus-Response Compatibility (SRC), more and more psychologists consider that the compatibility isn't only exist between stimulus and stimulus, response and response, but also any two sets in the information processing, it means that the compatibility is the basic feature of the human information processing. Research on the compatibility of the precue is a powerful evidence to support the issue. Dimension Overlap Model (Kornblum, 1990) is one of the most popular models to explain the mechanism of the SRC which focus on the dimension overlapping between the stimulus and response will activate the compatible response automatically, the compatibility effects origin from whether the compatible response prove or interference the response, the so the time course between the automatic activation and the task processing cause the dynamical time feature of the SRC (Kornblum, 1997). Yet the DO model has gotten many supports, it hasn't been tested in the paradigm of the precue task. At the same time, company with the development of the Environment Psychology, the effect of the ex-information in the environment on the inside information processing has drown much attention, does the validity probability of the cue have any influence on the cue compatibility? How about the relationship of the cue compatibility and the SRC? Research on the questions will reveal the characteristics of the human information processing, enhance the knowledge of the compatibility phenomena and resource, enlarge the field of SRC and produce more practice usage on the design of human-machine system. The mechanism and influence factors of symbolic compatibility between cue and stimulus were investigated within a precueing paradigm. The influence of the dimension overlapping relation between the cue and the stimulus, cue and the response on the reaction time were studied under the different kinds of SRC, to test whether or not it confirms the dimension overlap hypothesis, to test is there any effect of SOA and validity probability of cues on the cue compatibility. The results showed that the cue compatibility exists and owns such features: 1, It confirms the dimension overlap model that the cue which dimension overlapped with the stimulus or the response will influence the efficiency of the processing, the reaction time is shorter when the cue is congruent with the stimulus or the response that that of the incongruent cue; 2, Consistent to the automatic activation hypothesis, the time course is the important characteristic of the cue compatibility. The largest compatibility effect can be gotten from the middle duration of SOA. 3, The validity probability of cues influence the cue compatibility significantly, the strength of the cue compatibility effect grows stronger with the higher validity probability of cues. 4, The cue compatibility affect the effect of SRC, especially when the cue is compatible with the stimulus; 5, The cue compatibility has two-fold meaning, the cue-stimulus compatibility and the cue-response compatibility, the former is stronger than the later when they compete each other. In summary, the compatibility, the basic feature of human information processing, is proved by the research, and the dimension overlap model and automatic activation hypothesis is tested by the studying on the cue compatibility.

品牌形象的消费行为学分析

Brand image is the attributes set and the related associations of a brand in consumers mind, and it is the subjective reflections of brands. The paper explored the factors of brand image system and their weight. As the traditional means to evaluate weight coefficients are not perfect, a new method, conjoint analysis, was attempted. The factors of brand image were explored through questionnaire. Sports sneaker, toothpaste, and personal stereo were chosen as product sample, and four hundred and twenty university students from Tangshan city and Beijing as subjects(each person evaluated two kinds of products). The first two kinds of products were requisites of students, and sports sneaker belonged to High conspicuous products and toothpaste was low conspicuous product. On the other hand, personal stereo was the sample of development and entertainment products. Several factors of three products brand were taken out with factor analysis. In order to explore the weight of the brand image factors, a contrast of factor contribution ratio method, holistic quartation method and conjoint analysis is made here. Twenty university students evaluated the weight of the image factors of three kinds of brand with holistic quartation method, then they gave the weight of personal stereo with conjoint analysis method. Product function, advertising and propaganda, symbolic meaning, market orientation, brand appetency, consuming experience are the factors of sports sneaker brand image. Product function, advertising and propaganda, market orientation, product grade, corporation image are the factors of toothpaste brand image. Corporation image and product function, advertising and propaganda, consuming experience, symbolic meaning, price and function ratio are the factors of personal stereo brand image. So the hypothesis was proved that brand image is an ordinal and organical system, "ordinal" means the weight of factors are different, "organical" means that brand image can be deposed into several factors and the factors belonged to function components and meaning components (function components are the factors about physical characteristics and function, which are called "hard factors"); meaning factors are those that can show the personality、value and lifestyle of consumers, which are called "soft factors". The research also gave evidence of the hypothesis below: the factor structures of brand image of different product category have commonness and individuality; the function components of low conspicuous products are more important than the high conspicuous products. The exploration of conjoint analysis is what the paper seeks to be some creative in some degree.

Intelligence in Scientific Computing

Combining numerical techniques with ideas from symbolic computation and with methods incorporating knowledge of science and mathematics leads to a new category of intelligent computational tools for scientists and engineers. These tools autonomously prepare simulation experiments from high-level specifications of physical models. For computationally intensive experiments, they automatically design special-purpose numerical engines optimized to perform the necessary computations. They actively monitor numerical and physical experiments. They interpret experimental data and formulate numerical results in qualitative terms. They enable their human users to control computational experiments in terms of high-level behavioral descriptions.

The Bifurcation Interpreter: A Step Towards the Automatic Analysis of Dynamical Systems

The Bifurcation Interpreter is a computer program that autonomously explores the steady-state orbits of one-parameter families of periodically- driven oscillators. To report its findings, the Interpreter generates schematic diagrams and English text descriptions similar to those appearing in the science and engineering research literature. Given a system of equations as input, the Interpreter uses symbolic algebra to automatically generate numerical procedures that simulate the system. The Interpreter incorporates knowledge about dynamical systems theory, which it uses to guide the simulations, to interpret the results, and to minimize the effects of numerical error.

Tactual Display of Consonant Voicing to Supplement Lipreading

This research is concerned with the development of tactual displays to supplement the information available through lipreading. Because voicing carries a high informational load in speech and is not well transmitted through lipreading, the efforts are focused on providing tactual displays of voicing to supplement the information available on the lips of the talker. This research includes exploration of 1) signal-processing schemes to extract information about voicing from the acoustic speech signal, 2) methods of displaying this information through a multi-finger tactual display, and 3) perceptual evaluations of voicing reception through the tactual display alone (T), lipreading alone (L), and the combined condition (L+T). Signal processing for the extraction of voicing information used amplitude-envelope signals derived from filtered bands of speech (i.e., envelopes derived from a lowpass-filtered band at 350 Hz and from a highpass-filtered band at 3000 Hz). Acoustic measurements made on the envelope signals of a set of 16 initial consonants represented through multiple tokens of C1VC2 syllables indicate that the onset-timing difference between the low- and high-frequency envelopes (EOA: envelope-onset asynchrony) provides a reliable and robust cue for distinguishing voiced from voiceless consonants. This acoustic cue was presented through a two-finger tactual display such that the envelope of the high-frequency band was used to modulate a 250-Hz carrier signal delivered to the index finger (250-I) and the envelope of the low-frequency band was used to modulate a 50-Hz carrier delivered to the thumb (50T). The temporal-onset order threshold for these two signals, measured with roving signal amplitude and duration, averaged 34 msec, sufficiently small for use of the EOA cue. Perceptual evaluations of the tactual display of EOA with speech signal indicated: 1) that the cue was highly effective for discrimination of pairs of voicing contrasts; 2) that the identification of 16 consonants was improved by roughly 15 percentage points with the addition of the tactual cue over L alone; and 3) that no improvements in L+T over L were observed for reception of words in sentences, indicating the need for further training on this task

Automatic Design of a Maglev Controller in State Space

We describe the automatic synthesis of a global nonlinear controller for stabilizing a magnetic levitation system. The synthesized control system can stabilize the maglev vehicle with large initial displacements from an equilibrium, and possesses a much larger operating region than the classical linear feedback design for the same system. The controller is automatically synthesized by a suite of computational tools. This work demonstrates that the difficult control synthesis task can be automated, using programs that actively exploit knowledge of nonlinear dynamics and state space and combine powerful numerical and symbolic computations with spatial-reasoning techniques.

A Computational Model for the Acquisition and Use of Phonological Knowledge

Does knowledge of language consist of symbolic rules? How do children learn and use their linguistic knowledge? To elucidate these questions, we present a computational model that acquires phonological knowledge from a corpus of common English nouns and verbs. In our model the phonological knowledge is encapsulated as boolean constraints operating on classical linguistic representations of speech sounds in term of distinctive features. The learning algorithm compiles a corpus of words into increasingly sophisticated constraints. The algorithm is incremental, greedy, and fast. It yields one-shot learning of phonological constraints from a few examples. Our system exhibits behavior similar to that of young children learning phonological knowledge. As a bonus the constraints can be interpreted as classical linguistic rules. The computational model can be implemented by a surprisingly simple hardware mechanism. Our mechanism also sheds light on a fundamental AI question: How are signals related to symbols?

The Role of Programming in the Formulation of Ideas

Classical mechanics is deceptively simple. It is surprisingly easy to get the right answer with fallacious reasoning or without real understanding. To address this problem we use computational techniques to communicate a deeper understanding of Classical Mechanics. Computational algorithms are used to express the methods used in the analysis of dynamical phenomena. Expressing the methods in a computer language forces them to be unambiguous and computationally effective. The task of formulating a method as a computer-executable program and debugging that program is a powerful exercise in the learning process. Also, once formalized procedurally, a mathematical idea becomes a tool that can be used directly to compute results.

Summarizing Qualitative Behavior from Measurements of NonlinearsCircuits

This report describes a program which automatically characterizes the behavior of any driven, nonlinear, electrical circuit. To do this, the program autonomously selects interesting input parameters, drives the circuit, measures its response, performs a set of numeric computations on the measured data, interprets the results, and decomposes the circuit's parameter space into regions of qualitatively distinct behavior. The output is a two-dimensional portrait summarizing the high-level, qualitative behavior of the circuit for every point in the graph, an accompanying textual explanation describing any interesting patterns observed in the diagram, and a symbolic description of the circuit's behavior which can be passed on to other programs for further analysis.

Time-Frequency Representations for Speech Signals

This work addresses two related questions. The first question is what joint time-frequency energy representations are most appropriate for auditory signals, in particular, for speech signals in sonorant regions. The quadratic transforms of the signal are examined, a large class that includes, for example, the spectrograms and the Wigner distribution. Quasi-stationarity is not assumed, since this would neglect dynamic regions. A set of desired properties is proposed for the representation: (1) shift-invariance, (2) positivity, (3) superposition, (4) locality, and (5) smoothness. Several relations among these properties are proved: shift-invariance and positivity imply the transform is a superposition of spectrograms; positivity and superposition are equivalent conditions when the transform is real; positivity limits the simultaneous time and frequency resolution (locality) possible for the transform, defining an uncertainty relation for joint time-frequency energy representations; and locality and smoothness tradeoff by the 2-D generalization of the classical uncertainty relation. The transform that best meets these criteria is derived, which consists of two-dimensionally smoothed Wigner distributions with (possibly oriented) 2-D guassian kernels. These transforms are then related to time-frequency filtering, a method for estimating the time-varying 'transfer function' of the vocal tract, which is somewhat analogous to ceptstral filtering generalized to the time-varying case. Natural speech examples are provided. The second question addressed is how to obtain a rich, symbolic description of the phonetically relevant features in these time-frequency energy surfaces, the so-called schematic spectrogram. Time-frequency ridges, the 2-D analog of spectral peaks, are one feature that is proposed. If non-oriented kernels are used for the energy representation, then the ridge tops can be identified, with zero-crossings in the inner product of the gradient vector and the direction of greatest downward curvature. If oriented kernels are used, the method can be generalized to give better orientation selectivity (e.g., at intersecting ridges) at the cost of poorer time-frequency locality. Many speech examples are given showing the performance for some traditionally difficult cases: semi-vowels and glides, nasalized vowels, consonant-vowel transitions, female speech, and imperfect transmission channels.

The Role of Knowledge in Visual Shape Representation

This report shows how knowledge about the visual world can be built into a shape representation in the form of a descriptive vocabulary making explicit the important geometrical relationships comprising objects' shapes. Two computational tools are offered: (1) Shapestokens are placed on a Scale-Space Blackboard, (2) Dimensionality-reduction captures deformation classes in configurations of tokens. Knowledge lies in the token types and deformation classes tailored to the constraints and regularities ofparticular shape worlds. A hierarchical shape vocabulary has been implemented supporting several later visual tasks in the two-dimensional shape domain of the dorsal fins of fishes.