新一代(第四代)人机交互的概念框架特征及关键技术

人机交互是研究人与计算机之间通过相互理解的交流与通信,在最大程度上为人们完成信息管理,服务和处理等功能的一门技术科学.本文给出新一代(第四代)人机交互的概念框架和其四个标志性特征,即:(1)具有多模感知(听觉,视觉,手势,笔势等)功能的人机交互方式;(2)可进行基于Agent的听、视觉对话,作为人机交互的界面;(3)具有Internet数据仓库和基于内容检索的知识处理能力,作为人机交互内容;(4)可以在二维或虚拟的三维环境中实现人机通信,作为人机交互的环境.文中给出了解决和实现该四大特征的关键技术,描述了实验系统平台的全面功能,可以为同类研究人员作参考.     

Using symbolic computation software packages in production of multidimensional finite volume‐based large eddy simulation codes

The numerical simulation of turbulence is one of the most challenging tasks in the field of the modern computational science. At present, the most advanced approach is the large eddy simulation (LES) technique wherein a formal separation between resolved (large) and unresolved (small) scales of the motion is in effect by means of a filtering operation applied onto the governing equations. However, LES requires very sophisticated numerical discretizations in terms of both accuracy and efficiency. Often, the modelling of the unresolved subgrid scale terms adds further computational complexities. This paper illustrates the suitability in using software packages for symbolic computation (in the present case, Maple© for helping in the production of subroutines for a new multidimensional, high‐order accurate finite volume‐based LES code. Specifically, it will be detailed how producing, rapidly and efficiently, the routines for computing convective, diffusive as well as subgrid scale modelling fluxes. It is particularly detailed how exploiting the package for differential calculus and linear algebra for the analytical integration of the flux polynomials over the finite volume faces. The structure of the LES code is illustrated, and an accuracy analysis of the local truncation errors is performed comparing the third‐order accurate multidimensional upwind and the classical second‐order centred reconstruction in the wavenumbers space. Then, some numerical results for the turbulent plane channel and some brief points concerning the parallelization issue are addressed. Copyright © 2012 John Wiley & Sons, Ltd.     

前缀码与极大前缀码的一种新刻画

在语言图Γ(X*)概念的基础上,用新引入的语言竹竿l(X*)和语言竹竿集L(X*)的概念形象地刻画了前缀码与极大前缀码:A是前缀码l(X*)∈L(X*),S_l_((X*))∩A或为单点集或为Φ;A是极大前缀码l(X*)∈L(X*),i)S_(l(X*))∩A或为单点集或为Φ.ii)S_(l(X*))∩A=Φ■u∈S_(l(X*)),■a∈A,ω∈X~+使a=uw.     

Korean automatic spacing using pretrained transformer encoder and analysis

Automatic spacing in Korean is used to correct spacing units in a given input sentence. The demand for automatic spacing has been increasing owing to frequent incorrect spacing in recent media, such as the Internet and mobile networks. Therefore, herein, we propose a transformer encoder that reads a sentence bidirectionally and can be pretrained using an out-of-task corpus. Notably, our model exhibited the highest character accuracy (98.42%) among the existing automatic spacing models for Korean. We experimentally validated the effectiveness of bidirectional encoding and pretraining for automatic spacing in Korean. Moreover, we conclude that pretraining is more important than fine-tuning and data size.     

Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients

We define the emerging research field of applied data science as the knowledge discovery process in which analytic systems are designed and evaluated to improve the daily practices of domain experts. We investigate adaptive analytic systems as a novel research perspective of the three intertwining aspects within the knowledge discovery process in healthcare: domain and data understanding for physician- and patient-centric healthcare, data preprocessing and modelling using natural language processing and (big) data analytic techniques, and model evaluation and knowledge deployment through information infrastructures. We align these knowledge discovery aspects with the design science research steps of problem investigation, treatment design, and treatment validation, respectively. We note that the adaptive component in healthcare system prototypes may translate to data-driven personalisation aspects including personalised medicine. We explore how applied data science for patient-centric healthcare can thus empower physicians and patients to more effectively and efficiently improve healthcare. We propose meta-algorithmic modelling as a solution-oriented design science research framework in alignment with the knowledge discovery process to address the three key dilemmas in the emerging “post-algorithmic era” of data science: depth versus breadth, selection versus configuration, and accuracy versus transparency.     

基于TS201的软件优化设计

数据实时处理能力是雷达信号处理等实时系统的重要指标,提高软件运行效率是系统软件设计中必须要考虑的问题。大批量数据读取和存储操作存在于信号处理各工作阶段,对其进行充分优化是信号处理软件设计的重要组成部分。在此以ADSP TS201平台数据转存为例,描述了软件优化的设计思路和处理方法,运行结果表明,充分应用DSP并行处理特性和宽数据操作,采用汇编语言编程,可以使软件运行效率得到显著提高。     

C语言在密立根实验数据处理中的应用

用密立根油滴仪测油滴的电荷,求基本电量,及验证电荷量子性的实验是大学物理实验的经典实验。实验采用倒过来验证法,数据多,计算量较大,本文探讨使用C语言编程来处理实验数据。     

Comment on “Bad Language”: Resolving some Ambiguities about Chirality

In this comment on the Essay entitled “Bad Language” by Dunitz I add new elements which enlighten the discussion. I hope that they contribute to suppress ambiguities and preconceived ideas about chirality.