Call for papers The 34th Chinese Control Conference & SICE Annual Conference 2015

正The 34th Chinese Control Conference and SICE Annual Conference 2015(CCCSICE2015)is organized by the Technical Committee on Control Theory(TCCT)of Chinese Association of Automation(CAA)and the Society of Instrument and Control Engineers(SICE)of Japan,and locally organized by Hangzhou Dianzi University(HDU).     

入侵检测技术在消防信息网安全中的应用

消防信息网作为公安网子网,与互联网物理分隔,网络安全相对薄弱,自身的安全防护能力并不高。非法入侵、病毒破坏屡有发生,给消防信息网带来不可预测的后果。     

一种改进的VI CFAR检测器

为得到不同杂波背景下的良好检测性能,给出了一种改进的VI CFAR检测器.该检测器主要利用均值类可变性指示（MLVI）CFAR检测器和有序统计类可变性指示（OSVI）CFAR检测器的各自优点以及VI CFAR的以背景均匀程度自动选择不同检测器思想.理论分析和仿真结果表明：该检测器在均匀背景下性能基本与MLVI CFAR重合;多目标背景下具有较强的抗多目标能力;杂波边缘背景下有较好的虚警概率控制能力且运算量小,是一种稳健的检测器.     

超低功耗智能监护报警器研究与设计

该文针对现有国内婴幼儿智能护理产品的优缺点,深入分析了如何防止睡觉受凉和尿床等问题,并对国外婴幼儿护理产品和婴幼儿护理理论进行了深入研究,设计了一种新型的智能化监护报警器。该报警器以低成本的松翰单片机为核心,采用纽扣电池供电,实现了超低功耗设计。实验表明,该装置集尿湿报警、走失报警、踢被报警、发烧报警和人工呼救多功能于一体,在具有使用安全、性能可靠、低功耗、报警及时、准确等优点的同时,还具有极好的性价比。     

Damage and deterioration mechanism and curing technique of concrete structure in main coal cleaning plants

Concrete structures in main coal cleaning plants have been rebuilt and reinforced in the coal mines of the Shanghai Da-tun Energy Sources Co. Ltd., the first colliery of the Pingdingshan Coal Co. Ltd. and the Sanhejian mine of the Xuzhou Mining Group Co. Ltd. In these projects, the operating environment and reliability of concrete structures in the main plants of the three companies were investigated and the safety of the structures inspected. Qualitative and quantitative analyses were made on the spe-cial natural, technological and mechanical environments around the structures. On the basis of these analyses, we discuss the long-term, combined actions of the harsh natural (corrosive gases, liquids and solids) and mechanical environments on concrete structures and further investigated the damage and deteriorating mechanisms and curing techniques of concrete structures in the main coal cleaning plants. Our study can provide a theoretical basis for ensuring the reliability of concrete structures in main coal cleaning plants.     

图像阈值自动选取算法的C＋＋实现

图像分割是运动目标检测与跟踪技术必须要解决的问题,在很多时候它涉及到图像阈值的选取。文章采用的算法首先计算图像中不同区域的灰度均值,结合最小差值条件,反复修订由计算所得的阈值,从而达到自动选优的目的。在此基础上,文章进一步给出了用C＋＋语言实现算法的关键代码。测试表明此方法选择阈值简便实用,图像的二值化效果良好。     

网络融合边界的电信DoS攻击检测*

为了检测网络融合边界的电信拒绝服务攻击,首先针对攻击的类型分别提出了基于呼叫统计或流量信号分析的检测方法,并采用分步骤的策略设计了检测系统,将两种检测算法分别应用于粗检测步骤,再通过精检测步骤确认攻击并找出攻击源.模拟实验结果表明,该方案能够有效地检测出典型的攻击,并能够实时在线检测,具有良好的实用价值,为应对网络融合所带来的新安全问题提供了一种解决方案.     

基于模糊神经网络的大场景人群密度估计方法 *

提出了一种估计大场景下密集人群密度的方法。该方法根据人类视觉的模糊性原理,认为用模糊集来划分人群密度范围比用确定的方法更符合人眼视知觉的认知方式,利用统计的方法确定灰度共生矩阵各指标对于各个密度类别的隶属函数;设计基于误差反向传播训练算法（BP）的模糊神经网络,计算样本模式对于各个密度类别的隶属度,并根据人群密度变化的时域连续性原理对人群密度范围进行合理估计。实验表明该方法提高了估计精度。     

Visitor-artwork network analysis using object detection with image-retrieval technique

Recent museum exhibitions are becoming a means by which to satisfy visitor demands. In order to provide visitor-centric exhibitions, artwork must be analyzed based on the behavior of visitors, and not merely according to museum professionals' points of view. This study aims to analyze the relationship between museum visitors and artwork via a network analysis based on visitor behavior using object detection techniques. Cameras installed in a museum recorded visitors, and an object detector with a content-based image-retrieval technique tracked visitors from the videos. The durations spent with different artworks were measured, and the data was converted into a bipartite graph. The relationships between different artwork types were analyzed with a visitor-centered artwork network. Based on the visitors’ behavior, significant artworks were identified and the artwork network was compared to the arrangement of the museum. The tendency of edges in the artwork network was also examined considering visitors' preferences for artworks. The method used here makes it possible to collect quantitative data, with the results possibly used as a basis and for reference when analyzing artwork in a visitor-centered approach.     

基于模型缩聚的θ指标损伤识别方法

为实现大型三维空间结构的损伤检测,提出了一种基于模型缩聚技术的检测方法。该方法利用有限数量的加速度传感器,得到大型三维桁架结构的自振频率和模态振型,以完成损伤的识别。数值仿真结果表明：该方法在损伤的定位识别和定量识别上能达到预期的适用性和可靠性。