可伸缩铰支管接头简介

本文指出了埋入地下的刚性管接头连接的管道易出现的问题及为解决这些问题而发明的可伸缩铰支管接头的特点及结构。     

Synthesizing English emphatic speech for multimodal corrective feedback in computer-aided pronunciation training

Emphasis plays an important role in expressive speech synthesis in highlighting the focus of an utterance to draw the attention of the listener. We present a hidden Markov model (HMM)-based emphatic speech synthesis model. The ultimate objective is to synthesize corrective feedback in a computer-aided pronunciation training (CAPT) system. We first analyze contrastive (neutral versus emphatic) speech recording. The changes of the acoustic features of emphasis at different prosody locations and the local prominences of emphasis are analyzed. Based on the analysis, we develop a perturbation model that predicts the changes of the acoustic features from neutral to emphatic speech with high accuracy. Further based on the perturbation model we develop an HMM-based emphatic speech synthesis model. Different from the previous work, the HMM model is trained with neutral corpus, but the context features and additional acoustic-feature-related features are used during the growing of the decision tree. Then the output of the perturbation model can be used to supervise the HMM model to synthesize emphatic speeches instead of applying the perturbation model at the backend of a neutral speech synthesis model directly. In this way, the demand of emphasis corpus is reduced and the speech quality decreased by speech modification algorithm is avoided. The experiments indicate that the proposed emphatic speech synthesis model improves the emphasis quality of synthesized speech while keeping a high degree of the naturalness.     

Speech enhancement with an adaptive Wiener filter

This paper proposes an adaptive Wiener filtering method for speech enhancement. This method depends on the adaptation of the filter transfer function from sample to sample based on the speech signal statistics; the local mean and the local variance. It is implemented in the time domain rather than in the frequency domain to accommodate for the time-varying nature of the speech signals. The proposed method is compared to the traditional frequency-domain Wiener filtering, spectral subtraction and wavelet denoising methods using different speech quality metrics. The simulation results reveal the superiority of the proposed Wiener filtering method in the case of Additive White Gaussian Noise (AWGN) as well as colored noise.     

On the Gröbner basis triangularization of constraint equations in natural coordinates

Efficient dynamic simulation code is essential in many situations (including hardware-in-the-loop and model-predictive control applications), and highly beneficial in others (such as design optimization, sensitivity analysis, parameter identification, and controller tuning tasks). When the number of modeling coordinates n exceeds the degrees-of-freedom of the system f, as is often the case when closed kinematic chains are present, the governing dynamic equations consist of n second-order ordinary differential equations (ODEs) coupled with m=n?f algebraic constraint equations. This set of n+m index-3 differential-algebraic equations can be difficult to solve in an efficient yet accurate manner. Embedding (or generalized coordinate partitioning) can be used to obtain f ODEs (one for each independent acceleration), which are generally more amenable to numerical integration; however, the dependent positions are typically computed from the independent positions at each time step. Newton–Raphson iteration is often used for solving the position-level kinematics, but only provides solutions to within a specified tolerance, and can require several iterations to converge. In this work, Gröbner bases are used to obtain recursively solvable symbolic solutions for the dependent positions, which can then be evaluated to within machine precision using a fixed number of arithmetic operations. Natural coordinates are particularly attractive in this context, since the resulting constraint equations are maximally quadratic polynomials and are, therefore, easily triangularized. The proposed approach is suitable for use in an automated formulation procedure and, as demonstrated by three examples, is capable of generating highly efficient simulation code with minimal additional effort required at the formulation stage.     

Intelligent healthcare service based on context inference using smart device

In the field of “U-Healthcare Service”, many studies have been actively conducted to develop “smart device”-based healthcare applications that enable healthcare providers and patients to be better served through interoperations among various kinds of sensors and wireless network interfaces. In particular, contemporary intelligent healthcare services not only recognize users’ context information through smart devices, computers, and so forth, but also acquire information from heterogeneous sensors to achieve context-aware inference services. Among such information, the weather information is tightly related to diseases such as asthma and allergies. Therefore, there is a high demand for research to utilize the weather information for healthcare services. In this paper, we propose a context inference-based intelligent healthcare service that exploits both the weather conditions information and the diverse healthcare ontologies available on the Internet. The proposed service aims at modeling a context ontology in users’ healthcare service environment and defining the inference rules, thereby accomplishing a satisfactory real-time healthcare service.     

烟丝整丝率变化率对卷烟卷接质量控制的影响研究

长期以来,烟丝的物理特征都被认为是影响卷烟质量的主要因素。随着生产工艺和企业烟丝标准的不断提高,如今烟丝的物理特征对卷烟质量的影响不再显著。研究人员转而将目光转向了烟丝的整丝率变化率。     

刍议全寿命周期成本在配电网规划中的实践

目前,市场经济体制的确立和完善促使供电企业之间的竞争日趋激烈。在配电网规划中应用全寿命周期成本,可以提升企业的经济效益和综合竞争力,推动其更好、更快地发展。通过简要分析全寿命周期成本在配电网规划中的实践,提出了一些有价值的参考意见。     

不同形貌ZnO气敏材料的制备及影响气敏性因素分析

以锌盐和碱为原料,采用水热和溶剂热法合成了三种形貌的氧化锌粉体,利用X射线衍射仪(XRD)、扫描电子显微镜(SEM)和X射线光电子能谱仪(XPS)对产物的结构和形貌及表面化学状态进行了表征,并将粉体制备成厚膜型气敏元件,测试了其对几种还原性气体的气敏性能,结果表明:在工作温度为395℃时,三种形貌氧化锌对相同浓度的同种测试气体的灵敏度大小顺序为:菜花状氧化锌﹥棒状氧化锌﹥六棱柱状氧化锌。并对影响氧化锌材料气敏性的各种因素进行了分析。     

微滤法脱除皮革废水中有机物性能的研究

研究了微滤法脱除皮革废水中有机物的性能,并考察了其影响因素,对其主要操作条件进行了优化.试验中以COD指标来表征微滤法对有机物的脱除性能.其对皮革废水中COD去除率约为40%,酸性条件有利于COD去除,最佳操作pH为5,且蛋白质并不是影响皮革废水中COD水平的主导因素.同时比较了微滤法、活性炭吸附、生物吸附、超滤等方法对皮革废水中COD的脱除性能.     

富锰渣制备硫酸锰过程中除杂方法新探

研究了以富锰渣为原料,经硫酸浸出制备硫酸锰的工艺过程中除杂方法。分别探讨了以MnO2、H2O2、空气为氧化剂,以NH3.H2O、Ca(OH)2、富锰渣等为中和除杂剂,控制pH在5~6,中和除杂温度为50~60℃,保温时间1~1.5 h情况下,采用不同的除杂剂及除杂条件,取得了不同的除杂效果。