Automatic product image classification with multiple support vector machine classifiers

For the task of visual-based automatic product image classification for e-commerce, this paper constructs a set of support vector machine (SVM) classifiers with different model representations. Each base SVM classifier is trained with either different types of features or different spatial levels. The probability outputs of these SVM classifiers are concatenated into feature vectors for training another SVM classifier with a Gaussian radial basis function (RBF) kernel. This scheme achieves state-of-the-art average accuracy of 86.9% for product image classification on the public product dataset PI 100.     

External equality and absolute equality coincide in finite CCS and <Emphasis Type="Italic">π</Emphasis> calculus without summation

External equality and absolute equality are defined model independently by Fu. It is interesting and important to know whether these two equalities coincide or not. There are some results in Fu’s paper for this issue. It is relatively easy to prove the coincidence if the summation operator is in the language, otherwise it is harder. In fact Fu proposed it as an open problem whether the two equalities coincide in some languages without summation. In this paper, the proofs of the coincidence in finite CCS and π calculus without summation are given.     

Reputation-based collaborative spectrum sensing scheme in cognitive radio networks

Collaborative spectrum sensing is proposed to improve the detection performance in cognitive radio (CR) networks. However, most of the current collaborative sensing schemes are vulnerable to the interference of the malicious secondary users (SUs). In this paper we propose a reputation-based collaborative spectrum sensing scheme to improve the security of cooperative sensing by mitigating the impacts of misbehaviors. The fusion center calculates the reputation rating of each SU according to their history reports to weight their sensing results in the proposed scheme. We analyze and evaluate the performance of the proposed scheme and its advantages over previous schemes in expansibility and integrity. Simulation results show that the proposed scheme can minimize the harmful influence from malicious SUs.     

Development and application of thermal mathematical model of iron ore pellet bed in grate

Based on the analysis of heat transfer mechanics, physical and chemical change of pellet drying and preheating process in grate, the mathematical model is established and solved by three-diagonal matrix algorithm. With Visual Basic 6.0 a simulation software is developed. The model is verified by measurements at a domestic pellet plant, and the temperature distribution of pellet bed is gained. Meanwhile, the influence of different operation parameters on the pellet thermal process is studied. The results can be taken as a basis of practical production control and the grate optimizing design.     

混合动力汽车的动力系统

从城市汽车节能减排的角度,以不同动力系统的低排量混合动力汽车为对象,用ADVISOR软件进行仿真分析,证明小排量的并联式混合动力汽车同时具备良好的动力性、经济性和排放特性.结合城市行驶工况特点,得出小排量并联混合动力汽车比串联混合动力汽车更适合城市汽车节能减排、环境保护要求的结论.     

刚架拱桥的加固及施工方案探讨

通过对徐州市贾汪区省道252线塔山桥的现场调查,并进行静动载实验,分析该桥病害产生的成因,提出合理的加固方案及相应的施工方法,可为加固同类旧桥提供参考。     

基于层次分析法的城市居民高峰时段乘车方式的研究——以兰州市居民出行为例

目前,在我国人口超过三百万的城市有16个之多,由于受到区域性的限制,各个城市道路布局不尽相同,居民的出行已经显现出了拥挤状态,尤其在城市居民上下班的高峰时间段内,这种现象尤其突出。通过对高峰时段内居民乘车方式的研究,对于减轻高峰交通压力具有现实意义。采用层次分析法对兰州市居民乘车方式进行研究,经实例验证其结果合理。     

高速公路沥青路面压实度控制现状及措施

压实度对高速公路沥青路面的路用性能和使用寿命有重要影响。依托重庆某高速公路工程的实际情况,开展沥青路面压实度分析研究。根据工程实测数据,分析高速公路沥青路面施工过程中压实度的质量控制现状,并由此提出提高压实度及减小压实度变异性的施工控制措施,对以后的高速公路沥青路面施工质量控制具有参考价值。     

河道淤泥用作公路路基填料的可行性研究

试验表明,通过添加其他材料对河道淤泥进行改性处理后,可用作公路路基填料。     

基于全寿命桥梁性能设计的研究

基于全寿命桥梁设计思想,针对桥梁的使用性能设计、安全性设计和耐久性设计进行研究,分析基于全寿命桥梁性能的设计过程,可为同行提供参考。