保重心脉冲压缩滤波及其在速度自动拾取中的应用

To pick velocity automatically is not only helpful to improve the efficiency of seismic data process, but also to provide quickly the initial velocity for prestack depth migration. In this thesis, we use the Viterbi algorithm to do automatic picking, but the velocity picked usually is immoderate. By thorough study and analysis, we think that the Viterbi algorithm has the function to do quickly and effectually automatic picking, but the data provided for picking maybe not continuous on derivative of its curved surface, viz., the curved face on velocity spectrum is not slick. Therefore, the velocity picked may include irrational velocity information. To solve the problem above, we develop a new method to filter signal by performing nonlinear transformation of coordinate and filter of function. Here, we call it as Gravity Center Preserved Pulse Compressed Filter (GCPPCF). The main idea to perform the GCPPCF as follows: separating a curve, such as a pulse, to several subsection, calculating the gravity center (coordinate displacement), and then assign the value (density) on the subsection to gravity center. When gravity center departure away from center of its subsection, the value assigned to gravity center is smaller than the actual one, but non other than gravity center anastomoses fully with its subsection center, the assigned value equal to the actual one. By doing so, the curve shape under new coordinate breadthwise narrows down compare to its original one. It is a process of nonlinear transformation of coordinate, due to gravity center changing with the shape of subsection. Furthermore, the gravity function is filter one, because it is a cause of filtering that the value assigned from subsection center to gravity center is obtained by calculating its weight mean of subsetion function. In addition, the filter has the properties of the adaptive time delay changed filter, owing to the weight coefficient used for weight mean also changes with the shape of subsection. In this thesis, the Viterbi algorithm inducted, being applied to auto pick the stack velocity, makes the rule to integral the max velocity spectrum ("energy group") forward and to get the optimal solution in recursion backward. It is a convenient tool to pick automatically velocity. The GCPPCF above not only can be used to preserve the position of peak value and compress the velocity spectrum, but also can be used as adaptive time delay changed filter to smooth object curved line or curved face. We apply it to smooth variable of sequence observed to get a favourable source data ta provide for achieving the final exact resolution. If there is no the adaptive time delay-changed filter to perform optimization, we can't get a finer source data and also can't valid velocity information, moreover, if there is no the Viterbi algorithm to do shortcut searching, we can't pick velocity automatically. Accordingly, combination of both of algorithm is to make an effective method to do automatic picking. We apply the method of automatic picking velocity to do velocity analysis of the wavefield extrapolated. The results calculated show that the imaging effect of deep layer with the wavefield extrapolated was improved dominantly. The GCPPCF above has achieved a good effect in application. It not only can be used to optimize and smooth velocity spectrum, but also can be used to perform a correlated process for other type of signal. The method of automatic picking velocity developed in this thesis has obtained favorable result by applying it to calculate single model, complicated model (Marmousi model) and also the practical data. The results show that it not only has feasibility, but also practicability.

Synthesis of a group of diosgenyl saponins with combined use of glycosyl trichloroacetimidate and thioglycoside donors

With the combined use of glycosyl trichloroacetimidates and thioglycosides, a group of natural diosgenyl saponins (1-6) are efficiently synthesized, in either a stepwise or a 'one-pot' manner. The trichloroacetimidate is employed as an efficient temporary hydroxy protecting group in glycosylation with the glycosyl trichloroacetimidate. The intermolecular alkylthio-group transfer is demonstrated to be a common side-reaction during glycosylation with thioglycosides.

Trichloroacetimidate as an efficient protective group for alcohols

The trichloroacetimidate is disclosed to be a general and efficient protective group for alcohols, which can be deprotected under mild acidic, basic, or neutral conditions, and has orthogonal stability with the acetate and tert-butyldimethylsilyl (TBS) protections.

Synthesis of a group of diosgenyl saponins by a one-pot sequential glycosylation

A group of natural diosgenyl saponins was synthesized in a highly efficient manner employing the 'one-pot sequential glycosylation' protocol with the combined use of glycosyl trichloroacetimidates and thioglycosides. (C) 1999 Elsevier Science Ltd. All rights reserved.

学习困难儿童智力结构及其与心理语言、视动能力关系的研究

IQ Structure, Psycholinguistic and Visual-motor Abilities Study on Children Learning Disability TONG Fang Directed by professor Zhu Liqi (Developmental and educational psychology) ABSTRACT Objective To comprehensive analyze the IQ structures, and relationships among IQ, psychometric characteristics and visual-motor integration on children disability. At same time, to probe into the family factors that influenced IQ, psycholinguistic abilities and behavior of LD children. Method (1) Downloading the papers on children learning disability from www.cqvip.com and www.wanfangdata.com, in which, the articles were collected by key words from 1985 to 2005. To conduct meta-analysis on IQ construction, compare the case group and the control group, including full IQ, verbal and practice IQ. (2) Designed with model compared and self-compared, 59 diagnosed learning disability children, tested themes with WISC, ITPA and Berry’s VMI. WISC included 10 items, 5 of which subtotal to verbal and practice IQ respectively. IPTA included 10 items, too, 5 process of which subtotal to auditory and visual perception. The first 3 items shared representation level, the other 2 of that shared automatic level.VMI had one score. Analyzed factors and levels with description and Pearson Correlation. To probe to linguistic internal alternately functions of LD children, and compare the scores of groups in different IQ. (3) Analyzed the perspective questionnaire filled by parents. Early development facts compared with model groups. Factors relationships analyzed with Kendall correlation, KOM and Bartlett’s test of sphericity, Promax Rotation. Results: (1) There have been 319 papers related with LD, in which 36 with IQ and 14 valid reports have been analyzed by Meta. FIQ’s 95%CI (confidence interval) is 2.418 ~ 0.172, VIQ between the difficulty and non- difficulty group. C-WISC-R reports were 10 papers, of which, 95%CI of FIQ is 2.424 ~ 0.676, of VIQ is 2.314 ~ 1.196, of PIQ is 2.176 ~ 0.176. The VIQ comparing the PIQ, 95%CI is 1.1 ~ -0.07 in difficulty group and 0.5 ~ -0.0046 in non-difficult group. Nevertheless, in the other 4 tests, FIQ’s 95%CI is 2.00 ~ -0.818 between LD and NLD. (2) Children psycholinguistic abilities had strong relation with Berry’s VMI test excluding auditory reception, and with perceptive factor of intelligence excluding verbal expression. Auditory reception and visual closure had strong relation with FIQ and PIQ. Grammatic closure, visual association and manual expression had strong relation with concept factor. The representational and automatic levels are depended on integration of auditory and visual procession. Lower verbal expression (VE) let to lower expression process and low scores on representational level. Lower visual sequential memory (VSM) let to lower memory process and influenced automatic level. Groups compared by IQ 90 show that LD children with under IQ 90 had lower scores on items of IPTA than with up IQ 90 excluded verbal expression. It was proved that IQ administrated the linguistic ability. Nevertheless, general abilities deficiency didn’t show influencing on the types of the perceptive delay. There was mutual function among linguistic ability on LD children. Auditory and visual level are overlapped each other. Not only show higher Decoding and lower Encoding on Auditory perception, lower Decoding and higher Encoding on Visual perception, in representation, but also higher Sequential remember, lower Closure on Audition, and lower Sequential member, higher Closure on Vision, in Automation. Nevertheless, there was no different between Representational and Automatic level, which may be the relationship of parallel or evolution. (3) Major family factors were father’s education, occupation. Lower auditory perception related to unconcerned, lower visual perception related to premature delivery and written slowly. Threatened–abortion, childbirth-suffocated were known as influencing children’s IQ and later linguistic abilities. It wasn’t shown that dosage relationship with the types of perceptive delay. Conclusion: (1) The FIQ, VIQ and PIQ of Children with LD is lower than that of NLD group. There is no significantly different between VIQ and PIQ in LD and NLD groups. (2) The objectives of ITPA and WISC tests are differently. The psycholinguistic abilities had strong relation with perceptive factor and VMI. Some facts of IPTA related with FIQ. IQ had strong administration on linguistic abilities. There was mutual function among linguistic internal abilities. (3) Family facts on IQ and psycholinguistic abilities were Father’s education, abnormal pregnant and abortion. It would be pre-show development delay in early period.

2型糖尿病患者认知功能特点及相关影响因素研究

Objective: Type 2 diabetes patients’ performances of action memory , semantic memory and working memory and the related factors were explored. Methods: 60 Type 2 diabetes patients were compared with 60 age and gender and level of education matched non-diabetes controls. Mood were tested by SAS and SDS, MMSE was used to test the basic cognitive function, Trail Making Test A and B, Verbal fluency test, Go-No/Go test, and Stroop color-word test were used to investigate the executive function of Type 2 diabetes patients and normal controls (NC). Patients’ GLU, TG, TCH, HbA1c, insulin and Cp were tested and correlated with their action memory and working memory. Results: There was no difference between NC group and Type 2 diabetes patients in MMSE scores. There is depression and anxiety mood in Type 2 diabetes patients. Type 2 diabetes patients get lower score in action memory test. Comparing to NC group, Type 2 diabetes patients performed significantly worse in Trail Making Test A and B and verbal fluency test. In Stroop Test, NC group showed significant Stroop Effect and Repeated Distraction Promotion Effect and Negative Priming Effect. However, In Type 2 diabetes group, only the Stroop Effect appeared, but no Repeated Distraction Promotion Effect and Negative Priming Effect. There is no difference between Type 2 diabetes and NC in Stroop Effect. In Go-No/Go test, both of two groups showed significant Stroop Effect, however, there was no difference between them. And also there is no difference on error rate of all levels between them. The course of disease, GL, HbA1c, TG, TCH, INS and Cp affected action memory and working memory. Conclusion: Type 2 diabetes patients’ action memory, semantic memory and working memory were partially impaired. Controlling the levels of GLU, TG and TCH can delay these kinds of impairment.

学习不良儿童的元认知偏差及矫正

Metacognitive illusions or metacognitive bias is a concept that is a homologous with metacognitve monitor accuracy. In the dissertation, metacognitive illusions mainly refers to the absolute differences between judgment of learning (JOL) and recall because individuals are misguided by some invalid cues or information. JOL is one kind of metacognitive judgments, which is the prediction about the future performance of learned materials. Its mechanism and accuracy are the key issues in the study of JOL. Cue-utilization framework proposed by Koriat (1997) summarized the previous findings and provided a significant advance in understanding how people make JOL. However, the model is not able to explain individual differences in the accuracy of JOL. From the perspective of people’s cognitive bound, our study use posterior associative word pairs easy to produce metacognitive bias to explore the deeper psychological mechanism of metacontive bias. Moreover, we plan to investigate the cause to result in higher metacognitive illusions of children with LD. Based on these, the study tries to look for the method of mending metacognitive illusions. At the same time, we will summarize the findings of this study and previous literatures, and propose a revesied theory for explaining children’s with LD cue selection and utilization according to Koriat’s cue-utilization model. The results of the present study indicated that: (1) Children showed stable metacognitive illusions for the weak associative and posterior associative word pairs, it was not true for strong associative word pairs. It was higher metacognitive illusions for children with LD than normal children. And it was significant grade differences for metacognitive illusions. A priori associative strength exerted a weaker effect on JOL than it did on recall. (2) Children with LD mainly utilized retrieval fluency to make JOL across immediate and delay conditions. However, for normal children, it showed some distinction between encoding fluency and retrieval fluency as potential cues for JOL across immediate and delay conditions. Obviously, children with LD lacked certain flexibility for cue selection and utilization. (3)When word pairs were new list, it showed higher metacognitve transfer effects for analytic inferential group than heuristic inferential group for normal children in the second block. And metacognitive relative accuracy got increased for both children with and without LD across the experimental conditions. However, it was significantly improved only for normal children in analytic inferential group.

An Algorithm for Group Formation and Maximal Independent Set in an Amorphous Computer

Amorphous computing is the study of programming ultra-scale computing environments of smart sensors and actuators cite{white-paper}. The individual elements are identical, asynchronous, randomly placed, embedded and communicate locally via wireless broadcast. Aggregating the processors into groups is a useful paradigm for programming an amorphous computer because groups can be used for specialization, increased robustness, and efficient resource allocation. This paper presents a new algorithm, called the clubs algorithm, for efficiently aggregating processors into groups in an amorphous computer, in time proportional to the local density of processors. The clubs algorithm is well-suited to the unique characteristics of an amorphous computer. In addition, the algorithm derives two properties from the physical embedding of the amorphous computer: an upper bound on the number of groups formed and a constant upper bound on the density of groups. The clubs algorithm can also be extended to find the maximal independent set (MIS) and $Delta + 1$ vertex coloring in an amorphous computer in $O(log N)$ rounds, where $N$ is the total number of elements and $Delta$ is the maximum degree.

Proceedings of the Fourth PHANTOM Users Group Workshop

This Report contains the proceedings of the Fourth Phantom Users Group Workshop contains 17 papers presented October 9-12, 1999 at MIT Endicott House in Dedham Massachusetts. The workshop included sessions on, Tools for Programmers, Dynamic Environments, Perception and Cognition, Haptic Connections, Collision Detection / Collision Response, Medical and Seismic Applications, and Haptics Going Mainstream. The proceedings include papers that cover a variety of subjects in computer haptics including rendering, contact determination, development libraries, and applications in medicine, path planning, data interaction and training.

Proceedings of the Second PHANToM User's Group Workshop

On October 19-22, 1997 the Second PHANToM Users Group Workshop was held at the MIT Endicott House in Dedham, Massachusetts. Designed as a forum for sharing results and insights, the workshop was attended by more than 60 participants from 7 countries. These proceedings report on workshop presentations in diverse areas including rigid and compliant rendering, tool kits, development environments, techniques for scientific data visualization, multi-modal issues and a programming tutorial.