基于STC12C5A08AD教室节能控制系统的设计

教室节能系统主要以节电为主要目标,以STC12C5A08AD单片机作为系统的控制器,通过光照度检测电路,红外人数检测电路检测教室内的光照情况和人员数量,控制器根据检测到的数据计算出需要打开的灯管数量,并向电源控制电路发出控制命令,合理的安排教室内的灯管使用数量,实现节能目的。     

基于离散随机技术的Madaline敏感性近似计算研究

本文系统地讨论了离散型前向神经网络Madaline的输出对网络参数扰动的敏感性计算.首先,根据神经元Adaline的离散特性,提出了一种离散随机技术方法,推导了Adaline敏感性近似计算公式.该方法从理论上解决了已有的连续随机技术方法无法处理的情况,取消了过强的限制条件,并使得从理论上对Adaline敏感性近似计算进...     

Efficient random saliency map detection

Most image retargeting algorithms rely heavily on valid saliency map detection to proceed. However, the inefficiency of high quality saliency map detection severely restricts the application of these image retargeting methods. In this paper, we propose a random algorithm for efficient context-aware saliency map detection. Our method is a multiple level saliency map detection algorithm that integrates multiple level coarse saliency maps into the resulting saliency map and selectively updates unreliable regio...     

Zero-knowledge proofs of retrievability

Proof of retrievability (POR) is a technique for ensuring the integrity of data in outsourced storage services.In this paper,we address the construction of POR protocol on the standard model of interactive proof systems.We propose the first interactive POR scheme to prevent the fraudulence of prover and the leakage of verified data.We also give full proofs of soundness and zero-knowledge properties by constructing a polynomial-time rewindable knowledge extractor under the computational Diffie-Hellman assump...     

"震网"引发网络安全新思考

本文概述了近期发生的"震网"事件.同时分析了"震网"的特点和行为特征.并根据我国的具体情况给出了安全警示和安全防范建议.     

Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure

Clustering analysis of temporal gene expression data is widely used to study dynamic biological systems, such as identifying sets of genes that are regulated by the same mechanism. However, most temporal gene expression data often contain noise, missing data points, and non-uniformly sampled time points, which imposes challenges for traditional clustering methods of extracting meaningful information. In this paper, we introduce an improved clustering approach based on the regularized spline regression and an energy based similarity measure. The proposed approach models each gene expression profile as a B-spline expansion, for which the spline coefficients are estimated by regularized least squares scheme on the observed data. To compensate the inadequate information from noisy and short gene expression data, we use its correlated genes as the test set to choose the optimal number of basis and the regularization parameter. We show that this treatment can help to avoid over-fitting. After fitting the continuous representations of gene expression profiles, we use an energy based similarity measure for clustering. The energy based measure can include the temporal information and relative changes of the time series using the first and second derivatives of the time series. We demonstrate that our method is robust to noise and can produce meaningful clustering results.     

Missile target automatic recognition from its decoys based on image time-series

As the development of the technology for radar target recognition, missile target automatic recognition has received considerable attention in recent years. Missile target, compared with the plane target, is hard to recognize for its smallness, feebleness and maneuver. In this paper, a new recognition method based on radar image time-series, which can significantly reduce the recognition time and classification error, is proposed. The image time-series are produced by range instantaneous Doppler imaging algorithm firstly, and then cross-range scaling of the images is processed. In particular, the inertia ratio, extracted from the obtained image time-series, is introduced to distinguish the missile from decoys. Furthermore, the effectiveness of this method is demonstrated by application to simulated data and it has been shown that this method has the potential to be used in a number of real-time applications.     

酒店管理模拟教学系统的设计和实现

该文采用B/S架构技术,依据现代化饭店信息管理业务需求,进行了饭店管理模拟教学系统的研究,以方便饭店管理专业的学生进行现代化饭店行业业务流程的学习和模拟实践。     

平面设计Photoshop教学的探索与研究

计算机平面设计行业作为知识型的服务产业,在竞争日益激烈的商业社会中发挥着举足轻重的作用。Photoshop(以下简称PS)是一门实践性很强的课程,使用传统的教学方法无法达到满意的教学效果。在教学方法的探索与实践中,采用抛砖引玉引导学习法、案例教学法、情景教学法、先成果后教学法等多种教学方法,引发学生的学习兴趣,培养学生的模仿和创新能力。同时,采用分阶段教学方法,使学生更好地掌握该软件,进一步提高教学质量。