TMS320VC33的汇编语言程序设计和优化

高性能浮点DSP芯片TMS320VC33以其高速、低功耗、低成本、易于开发的显著特点,成为需浮点运算的便携式产品应用开发的理想的DSP器件。文章根据在TMS320VC33应用开发方面的经验,从硬件结构及其指令系统特点出发,总结并较为详细地阐述了汇编语言程序设计的几种优化方法。     

“In pursuit of the real deal”: A longitudinal study of VC decision making

This paper investigates actual Venture Capital (VC) decision making as it occurs over time in its natural decision environment. Our qualitative analysis is based on a comprehensive, longitudinal data set comprising 11 years of archival data from a European-based VC firm. During this time, the VC managed two funds, reviewed a total of 3631 deals, and made 35 investments. By adopting this research methodology, we can overcome several limitations of post-hoc methods and experiments commonly used in this research stream, and also have the opportunity to tackle some fundamental, yet hitherto elusive research topics. For example, our findings reveal how the importance of decision-making criteria varies between different stages of the evaluation process. They also show how VC portfolio composition and VC management time serve as important, yet to-date largely neglected decision-making criteria. Implications for research and practice are outlined.     

创始人、创业投资与创业板IPO抑价

IPO高抑价是创业板市场的显著特征之一。本文从公司治理的视角,运用信息不对称和信号理论分析创始人、创业投资与IPO抑价之间的关系并进行实证研究。研究表明,创始人通过持股数量和兼任CEO具有一定的信号传递作用,降低了IPO抑价,而创业投资降低IPO抑价的作用并不显著。创业投资都具有低价发行保证上市成功的动机,创业投资存在只求上市,不求成长的现象。     

风险投资中VC与EN的博弈研究

在风险投资中,风险投资家(VC)与风险企业家(EN)在信息不对称条件下进行博弈。本文从风险投资中博弈双方的特点出发,利用相关模型进行分析,指出风险投资中的影响因素,从而提高双方合作的可能性。     

船模通航波高采集测量系统及其应用

目前,有关引航道通航水流的研究,国内主要依赖于实体模型及船模试验,波高测量对于航道通航问题,对船队航行安全具有非常重要的意义.开发了一套由软、硬件组成的波高数据自动采集分析系统,并将其成功应用于乌江银盘水电站水力学整体模型.该系统使用方便、迅速、易操作,可满足科研生产需要.由于采用面向对象方法开发,进一步开发功能十分方便.     

基于VC++的水泥回转窑旋风预热器远程监测系统的设计

旋风预热器是水泥整个生产工艺中最关键的预热设备,其运行的好坏直接影响水泥的产量、质量、生产成本及排出的尾气对环境的污染程度等,因此有必要对它的整个运行过程进行实时监测。在介绍水泥回转窑旋风预热器远程监测系统总体结构的基础之上,详细论述了应用VC++实现此监测界面设计的整体方案。     

让资本赋能大湾区全球创新高地建设

粤港澳大湾区是我国实施创新驱动发展战略的重大引擎，有优势成为引领全球新一轮产业革命的"领头雁"。资本是创新发展的重要驱动力，文章认为股权投资（VC/PE）能通过筛选培育、风险分散、融资支持、要素集成、制度供给、资源重组六方面制度功能支持创新发展。巩固提升粤港澳大湾区股权投资市场优势，让股权投资赋能粤港澳大湾区全球创新高地建设，要宽化资本来源，实现投资主体多元化；强化技术攻关，发展非对称性"杀手锏"技术，培育优质项目源；深化人才激励，推进风险投资家与企业家、科学家的深度合作；优化投资环境，让创新创业创造活力竞相迸发；活化退出通道，畅通"募投管退"的投资闭环。     

VC聚磷酸酯的合成

为了制备不同效价的VC聚磷酸酯,对VC与三偏磷酸钠在水介质中反应制备效价为40%的VC聚磷酸酯的工艺进行了研究,在小试及放大试验的基础上,进行了工业性试生产。当n(VC)∶n(三偏磷酸钠)为1∶1.1,w(催化剂)为10%、溶液pH值为9时,VC聚磷酸酯的效价高于40%,收率为73.8%。     

Exact and asymptotic tests for possibly non-regular hypotheses on stochastic volatility models

We study the problem of testing hypotheses on the parameters of one- and two-factor stochastic volatility models (SV), allowing for the possible presence of non-regularities such as singular moment conditions and unidentified parameters, which can lead to non-standard asymptotic distributions. We focus on the development of simulation-based exact procedures–whose level can be controlled in finite samples–as well as on large-sample procedures which remain valid under non-regular conditions. We consider Wald-type, score-type and likelihood-ratio-type tests based on a simple moment estimator, which can be easily simulated. We also propose a C(α)-type test which is very easy to implement and exhibits relatively good size and power properties. Besides usual linear restrictions on the SV model coefficients, the problems studied include testing homoskedasticity against a SV alternative (which involves singular moment conditions under the null hypothesis) and testing the null hypothesis of one factor driving the dynamics of the volatility process against two factors (which raises identification difficulties). Three ways of implementing the tests based on alternative statistics are compared: asymptotic critical values (when available), a local Monte Carlo (or parametric bootstrap) test procedure, and a maximized Monte Carlo (MMC) procedure. The size and power properties of the proposed tests are examined in a simulation experiment. The results indicate that the C(α)-based tests (built upon the simple moment estimator available in closed form) have good size and power properties for regular hypotheses, while Monte Carlo tests are much more reliable than those based on asymptotic critical values. Further, in cases where the parametric bootstrap appears to fail (for example, in the presence of identification problems), the MMC procedure easily controls the level of the tests. Moreover, MMC-based tests exhibit relatively good power performance despite the conservative feature of the procedure. Finally, we present an application to a time series of returns on the Standard and Poor’s Composite Price Index.     

Semiparametric tests of conditional moment restrictions under weak or partial identification

We propose two new semiparametric specification tests which test whether a vector of conditional moment conditions is satisfied for any vector of parameter values θ₀. Unlike most existing tests, our tests are asymptotically valid under weak and/or partial identification and can accommodate discontinuities in the conditional moment functions. Our tests are moreover consistent provided that identification is not too weak. We do not require the availability of a consistent first step estimator. Like Robinson [Robinson, Peter M., 1987. Asymptotically efficient estimation in the presence of heteroskedasticity of unknown form. Econometrica 55, 875–891] and many others in similar problems subsequently, we use k-nearest neighbor (knn) weights instead of kernel weights. The advantage of using knn weights is that local power is invariant to transformations of the instruments and that under strong point identification computation of the test statistic yields an efficient estimator of θ₀ as a byproduct.