特大悬索桥顺层山脊重力式锚碇基坑爆破开挖

爆破开挖山脊重力式锚碇基坑,势必扰动溶蚀严重顺层山体,易致岩体塌落和岩层滑动,影响后期锚碇稳定,特别是类似于赤水河特大桥情况,控制爆破扰动至关重要。针对特大桥特殊的地貌,复杂的地质构造,结合锚碇基坑开挖轮廓设计线,依据爆破地震波能流密度分布主方向及其大小特征等爆源因素相干性等控制爆破理论,对特大桥顺层山脊重力式锚碇基坑爆破开挖参数进行研究,提出了适宜的开挖工艺,经监测岩层损伤在控制范围内。     

中墩主锚索布置及锚固洞体型优化研究

预应力闸墩在运行过程中,锚固洞、锚块下游面、闸墩颈部等关键部位会产生较大的拉应力。当拉应力过大时,会影响预应力闸墩的安全运行。为改善预应力闸墩的受力状态,采用三维有限元法,从主锚索根数、锚索吨位和锚固洞体型三方面进行优化研究。结果表明,主锚索根数的合理选取,在保证安全运行的前提下能减少投资。在最不利工况下,拉锚系数增大能有效降低闸墩颈部拉应力,但锚固洞、锚块下游面最大主拉应力会有所增加。采用流线型锚固洞体型闸墩能有效降低锚固洞拉应力。为增加闸墩的预应力效果,综合考虑,推荐流线型锚固洞体型,主锚索12根布置,拉锚系数1.96,可为实际工程提供参考。     

Computational personality recognition from Facebook text: psycholinguistic features,words and facets

ABSTRACT

Advances in the Natural Language Processing (NLP) and machine learning fields have led to the development of automated methods for the recognition of personality traits from text available from social media and similar sources. Systems of this kind exploit the close relation between lexical knowledge and personality models – such as the well-known Big Five model – to provide information about the author of an input text in a non-intrusive fashion, and at a low cost. Although now a well-established research topic in the field, the computational recognition of personality traits from text still leaves a number of research questions worth further exploration. In particular, this paper attempts to shed light on three main issues: (i) whether we may develop psycholinguistics-motivated models of personality recognition when such knowledge sources are not available for the target language under consideration; (ii) whether the use of psycholinguistic knowledge may be still superior to contemporary word vector representations; and (iii) whether we may infer certain personality facets from a corpus that does not explicitly convey this information. In this paper these issues are dealt with in a series of individual experiments of personality recognition from Facebook text, whose initial results should aid the future development of more robust systems of this kind.     

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

With the increasing ageing population worldwide, providing effective nursing care planning in nursing homes is important in meeting the expectations of elderly patients and in streamlining the healthcare information process, hence maintaining high‐quality services. Instead of the traditional manual nursing care planning formulation based on expert experience and subjective judgement, this paper describes an adaptive decision support system, namely, the cloud‐based nursing care planning system, to enable decision making in formulating nursing care strategies. By integrating cloud computing technology and the case‐based reasoning (CBR) technique, medical records and documents pertaining to the elderly can be captured in real time, whereas appropriate treatment plans based on past similar treatment records can be formulated. However, the current case adaptation processes in CBR rely on domain experts to modify retrieved cases, which may not satisfy the needs of the elderly. Therefore, text mining is integrated in the case adaptation process of CBR for extracting up‐to‐date medical information from the Internet so that its efficiency can be improved. By conducting a pilot study in a nursing home, it was shown that the time for formulating applicable treatment plans for elderly patients can be reduced, and the service satisfaction level can be enhanced.     

土层锚杆在深基坑支护中的应用研究

针对土层锚杆在深基坑支护中的应用,提出一种适用于实际工程支护设计的数学方法。通过对土层锚杆支护理论及受力机理进行研究分析,结合锚杆支护在地铁深基坑工程中的应用实例,基于锚杆抗拔承载力试验及锚杆轴力的监测数据,采用统计归纳的数学分析方法,对几种设计理论与实测结果之间的关系进行分析,提出了采用粘结强度影响系数法对土层锚杆在深基坑支护工程中的应用进行设计的数学描述,给出了相应的数学表达式。     

面向智能客服系统的情感分析技术

该文以阿里小蜜为例,对智能客服系统中的情感分析技术进行比较全面的介绍,包括情感分析算法模型的原理及其在智能客服系统的多个应用场景中的实际落地使用方式和效果分析。智能客服在解决客户高频业务问题的同时,也需要给客户提供多维度的、具有类人能力的助理、导购、语聊和娱乐等服务,提高客户对智能客服机器人的整体满意度。在此过程中,情感分析技术在机器人类人能力建设中起到了至关重要的作用。该文围绕智能客服系统中人机结合的服务形式,从六个维度总结和介绍了情感分析技术在智能客服系统中的应用场景,包括用户情感检测、用户情感安抚、情感生成式语聊、客服服务质检、会话满意度预估和智能人工入口。     

文本分类在工程图中的信息隐藏应用

工程图的信息隐藏在CAD领域中具有重大的意义。为了技术保密,工程图在发布时往往需安将其中的关键信息(如尺寸和材料)隐藏起来,其中大部分需要隐藏的信息是以文本方式存在的。传统的信息隐藏是通过人工的方式进行关键文本抽取并加以隐藏而实现的。本文提出了用线性分类的方法,来实现工程图关键文本的自动抽取,从而达到工程图信息隐藏的目的。     

Novel precision piezoelectric step rotary actuator

A novel piezoelectric (PZT) precision step rotary actuator was developed on the basis of PZT technology. It adopts the principle of bionics and works with an inside anchoring/loosening of the stator and a distortion structure of the uniformly distributed thin flexible hinge to solve problems such as ineffective anchoring/loosening, low step rotary frequency, small travel, poor resolution, low speed and unsteady output. The developed actuator is characterized by high frequency (30 Hz), high speed (380 μrad/s), large travel (>270°), high resolution (1 μrad/step), and work stability. It greatly improves the ability to drive the existing PZT step rotary actuator. The new actuator can be applied in the field of micromanipulation and precision engineering, including precision driving and positioning and optics engineering. __________ Translated From Journal of Jilin University (Engineering and Technology Edition), 2006, 36(5): 673–677 [译自: 吉林大学学报 (工学版)]     

有色金属锚杆支护的关键理论教学研究

在有色金属开采的作业中,支护是保证施工人员安全生产的基石,其重要程度不言而喻,当下金属开采作业中常采用的支护方法有:支架型支护、砌筑型支护、锚杆性支护,生产作业时并不会单一使用支护类型,而是组合型使用不同的支护方法,在此本文不与赘述。本文将就我国有色金属矿山运用最多的锚杆支护做一个详细的研究分析,为教学研究提供一些实践以及理论知识支撑。     

关于文本文件在ADAMS中的应用研究

给出了在动力学仿真软件ADAMS的应用中 ,使用文本文件编写命令文件、创建位置表文件和输出保存仿真结果的一些实例和经验总结 ,对ADAMS用户有一定参考价值 ,共同推进我国CAE的进步和发展