智能科学与技术专业实践教学体系改革

针对智能科学与技术专业存在综合性和创新性实践教学环节相对薄弱的问题,在分析智能科学与技术专业特点的基础上,提出以"智能康复装置与检测技术"教育部工程研究中心为平台,以各种竞赛为契机,建立以培养人才工程能力和创新能力为主线的实践教学体系的观点。     

A content and user-oblivious video-recommendation algorithm

Videos have become popular on Internet, and corresponding video-recommendation algorithms have become an important factor for maintaining user’s satisfactory level and the profits of video-service providers. Existing recommendation algorithms are often highly dependent on the precious information of contents and users. However in many scenarios those information is not available for privacy reasons. This paper provides a watching sequence-based video-recommendation algorithm that can work well without the video contents and users information. The algorithm consists of three models: the exactly prefix matching tree, partial prefix matching tree, and the postfix matching tree. The final recommendation results are composed from the three models. The corresponding search tree, the matching search tree, and weight calculating algorithm are developed for each model. The algorithm is evaluated based on the half-year log files of a practical video website. The experimental results show that our algorithm performs better on execution time, accuracy, diversity of recommendation results, and non-hot coverage than the traditional recommendation algorithms.     

3种本质安全评价方法在EDC过程中的应用研究

简要叙述ISI、i-safe和IBI 3种典型的本质安全评价方法,说明其含有的参数及指数的计算方法;然后使用这3种方法评价了直接氯化法、氧氯化法、改进的氧氯化法3个EDC生产流程.评价结果表明:不同方法评价相同的几个过程,得到的各过程安全性的高低是一致的:直接氯化法最高、氧氯化法次之、改进的氧氯化法安全性最差:评价同一个流程时,ISI法评价得到的数值最大,i-Safe法次之,IBI法最小.结合评价的过程从参数的个数及覆盖面的大小、参数取值的主观性程度、获取所需信息的难易程度和结果的灵敏性4方面比较和分析3种评价方法,最后总结得到3种方法中IBI法的优势最大.     

不同化工过程本质安全评价方法的比较与分析

给予众多的本质安全评价方法合理的归类,将其分为指标型、模糊理论型、图示型3类.其中,从覆盖范围的角度把指标型方法分为S(safe),SE(safe,environment),SEH(safe,envitronment and health)3种.其次,阐述方法所含有的参数及最终指标的计算方法.再次,对3类评价方法进行评价思路、易用性和结果灵敏性的比较.阐述评价方法改进的方向及内涵,从中找到方法中存在的4个主要问题:(1)指标取值的主观性;(2)使用的数学函数为阶梯函数:(3)评价参数及领域不全面;(4)评价过程逻辑性不强.最后得出本质安全评价方法的3个发展方向:覆盖范围的综合性、评价过程的逻辑性、指标取值的客观性.     

Exponential stability and exponential stabilization of singularly perturbed stochastic systems with time‐varying delay

In this paper, the problems of exponential stability and exponential stabilization for linear singularly perturbed stochastic systems with time‐varying delay are investigated. First, an appropriate Lyapunov functional is introduced to establish an improved delay‐dependent stability criterion. By applying free‐weighting matrix technique and by equivalently eliminating time‐varying delay through the idea of convex combination, a less conservative sufficient condition for exponential stability in mean square is obtained in terms of ε‐dependent linear matrix inequalities (LMIs). It is shown that if this set of LMIs for ε=0 are feasible then the system is exponentially stable in mean square for sufficiently small ε?0. Furthermore, it is shown that if a certain matrix variable in this set of LMIs is chosen to be a special form and the resulting LMIs are feasible for ε=0, then the system is ε‐uniformly exponentially stable for all sufficiently small ε?0. Based on the stability criteria, an ε‐independent state‐feedback controller that stabilizes the system for sufficiently small ε?0 is derived. Finally, numerical examples are presented, which show our results are effective and useful. Copyright © 2010 John Wiley & Sons, Ltd.     

H ∞ Control for uncertain system with time-delay and nonlinear external disturbance via adaptive control method

This paper considers the H _∞ control problem for the uncertain time delay system with nonlinear external disturbance. Given a system containing nonlinear external disturbance, our purpose is to design a robust controller such that the uncertain system is asymptotically stable with a generalized H _∞ disturbance attenuation level ρ. In this paper we propose a new approach to design the controller for the uncertain system which is composed of a linear controller and an adaptive controller. The problem is solved by introducing a switching function and using the idea of formulation. Based on Lyapunov stability theory, new sufficient conditions are obtained in terms of linear matrix inequalities. The effectiveness and advantages of the proposed controller design are shown via a numerical example.     

Comparison of forecasting methods with an application to predicting excess equity premium

This paper reviews various forecast methods including combination using theoretically optimal weights and those under model selection approaches. In addition, we suggest two modified simple averaging forecast combination methods—a mean corrected and a mean and scale corrected method. We conclude that due to the fact that real data is usually subject to structural breaks, rolling forecasting scheme has a better performance than fixed window and continuously updating scheme. In addition, methods that use less information appear to perform better than methods using all the sample information about the covariance structure of the available forecasts. The mean and scale corrected simple average approach yield smaller mean squared forecast error than the three widely used regression approaches suggested by Granger and Ramanathan [11].     

Development of a Rotorcraft Micro air Vehicle for Indoor Flight Research

Autonomous flight of micro air vehicles (MAVs) in hostile indoor environments poses significant challenges in terms of control and navigation. In order to support navigation and control research for indoor micro air vehicles, a four-wing tail-sitter type rotorcraft MAV weighing less than 350g has been designed in this paper. In an effort to achieve autonomous indoor flight, an embedded integrated avionic system has been developed. The modeling process has been conducted to obtain accurate six degrees of freedom dynamical model for the designed rotorcraft MAV. In addition, aerodynamic coefficients are evaluated from the results of Computational Fluid Dynamics A PI-ADRC double loop controller with inner-loop outer-loop control scheme has been proposed which takes into account the system’s nonlinearities and uncertainties. The proposed flight controller was implemented on the designed rotorcraft MAV that has undergone various simulation and indoor flight tests. Experimental results that demonstrate robustness of the proposed controller with respect to external disturbances and the capabilities of the designed rotorcraft MAV are presented.     

Evaluation of visual saliency analysis algorithms in noisy images

Most existing visual saliency analysis algorithms assume that the input image is clean and does not have any disturbances. However, this situation is not always the case. In this paper, we provide an extensive evaluation of visual saliency analysis algorithms in noisy images. We analyze the noise immunity of saliency analysis algorithms by evaluating the performances of the algorithms in noisy images with increasing noise scales and by studying the effects of applying different denoising methods before performing saliency analysis. We use 10 state-of-the-art saliency analysis algorithms and 7 typical image denoising methods on 4 eye fixation datasets and 2 salient object detection datasets. Our experiments show that the performances of saliency analysis algorithms decrease with increasing image noise scales in general. An exception is that the nonlinear features (NF) integrated algorithm shows good noise immunity. We also find that image denoising methods can greatly improve the noise immunity of the algorithms. Our results show that the combination of NF and Median denoising method works best on eye fixation datasets and the combination of saliency optimization (SO) and color block-matching and 3D filtering (C-BM3D) method works best on salient object detection datasets. The combination of SO and Average denoising method works best for applications wherein time efficiency is a major concern for both types of datasets.     

一种级联式微博情感分类器的构建方法

该文从统计学方法与机器学习的分类思想出发,对中文微博文本的情感类别进行研究。针对微博文本的特点,提出了一种级联式微博情感分类器模型,该模型首先构建基于情感词典和新浪表情符号词典的微博情感初级分类模型;然后根据基准词构建基于类别倾向相似度的二级分类模型,对初级模型未能确定情感类别的微博进行再次分类,并对初级模型的词典进行更新;最后采用朴素贝叶斯分类器构建三级分类模型,对以上还未确定情感类别的微博进行三级分类。通过与NLPCC2014微博情感分类评测参赛结果进行比较,说明了所提方法的有效性。