基于多颜色空间信息融合的视频车辆检测方法

利用图像颜色空间各分量的相对独立性和互补性,通过理论分析和实验,提出了有选择地将RGB、YCbCr和HSI3个颜色空间9个分量的检测结果进行融合的方法,提高了车辆视频检测的准确性。该法在S和I分量较大时依据H分量的值选择不同3个分量的检测结果进行有差别融合,而S和I分量较小时再选择另外3个分量的检测结果融合。实验证明,同只利用亮度分量的检测结果相比,检测到的车辆更加充实,空洞大幅度减少,很大程度提高了依赖于该结果的交通信息数据的精确性。     

基于ARM的无人机真空速测量系统设计

设计了以ARM微处理器为核心的中央控制处理单元,用于无人机真空速测量系统中。通过公式分解,并采用线性低次插值算法,有效解决了真空速解算公式复杂的缺点;同时利用ARM的UART串口总线,实现了传感器输出特性曲线、真空速的上位机实时显示,使系统相对误差控制在2.5%以内。测试结果证明了该系统具有良好的实效性和稳定性、精度高,优于传统的测量装置。     

基于粒子视频的高密度人群主流运动检测

采用粒子视频流获得视频序列中的特征点运动轨迹,并对获得的运动轨迹进行提取,然后利用最长共同子序列LCS(Longest Common Subsequence)聚类轨迹,得到运动的主流方向。该算法可以有效检测实际场景中的主流运动方向。     

Pricing and production decisions in dual-channel supply chains with demand disruptions

This paper develops a two-period pricing and production decision model in a one- manufacturer-one-retailer dual-channel supply chain that experiences a disruption in demand during the planning horizon. While disruption management has long been a key research issue in supply chain management, little attention has been given to disruption management in a dual-channel supply chain once the original production plan has been made. Generally, changes to the original production plan induced by a disruption may impose considerable deviation costs throughout the supply chain system. In this paper, we examine how to adjust the prices and the production plan so that the potential maximal profit is obtained under a disruption scenario. We first study the scenario where the manufacturer and the retailer are vertically integrated with demand disruptions. Then we further assume that the manufacturer bears the deviation costs and obtain the manufacturer’s and the retailer’s individual optimal pricing decision, as well as the manufacturer’s optimal production quantity in a decentralized decision-making setting. We derive conditions under which the maximum profit can be achieved. The results indicate that the optimal production quantity has some robustness under a demand disruption, in both centralized and decentralized dual-channel supply chains. We also find that the optimal pricing decisions are affected by customers’ preference for the direct channel and the market scale change, in both centralized and decentralized dual-channel supply chains.     

Tagging image by merging multiple features in a integrated manner

Image tagging is a task that automatically assigns the query image with semantic keywords called tags, which significantly facilitates image search and organization. Since tags and image visual content are represented in different feature space, how to merge the multiple features by their correlation to tag the query image is an important problem. However, most of existing approaches merge the features by using a relatively simple mechanism rather than fully exploiting the correlations between different features. In this paper, we propose a new approach to fusing different features and their correlation simultaneously for image tagging. Specifically, we employ a Feature Correlation Graph to capture the correlations between different features in an integrated manner, which take features as nodes and their correlations as edges. Then, a revised probabilistic model based on Markov Random Field is used to describe the graph for evaluating tag??s relevance to query image. Based on that, we design an image tagging algorithm for large scale web image dataset. We evaluate our approach using two large real-life corpuses collected from Flickr, and the experimental results indicate the superiority of our proposed approach over state-of-the-art techniques.     

A new liquid crystal lens with axis-tunability via three sector electrodes

A novel liquid crystal (LC) lens with an on-line tunability on focus length and optical axis is proposed in this study. The designed lens has a LC layer sandwiched by two ITO glasses, one of which is patterned with three sector electrodes. With varied sets of pre-designed voltages applied to these three electrodes, the LC lens can not only render focusing effects but also tunability on the optical axis of the lens to an arbitrary axis. A vector-form equation is developed to predict the direction of axis tuning. Simulations are next conducted to predict dynamics of the LCs in the lens and also the focusing and axis-tuning properties of the lens. Important sizes and materials and fabrication process of the lens are determined and optimized based on simulation results. The designed LC lens is fabricated, and then experiments are conducted to demonstrate the performance of the designed LC lens on axis tuning. It shows that the focusing axis of the LC lens can be effectively changed by pre-calculated combinations of three voltages. It is also shown that the average movement of the focal point per applied voltage reaches 4.778?μm/V.     

矿井通风机风流参数实时监测装置的研制

矿井通风安全是井下安全生产的重要组成部分.为了保证井下安全生产,需要对通风机的风量、风压进行实时有效的监测.介绍了以ATmega16单片机为核心的用于矿山通风系统的新型风流参数监测装置的工作原理,硬件、软件的设计及现场测试情况.该装置能实现实时监测、就地显示、上位机传输等功能.现场测试结果表明该装置具有高测量精度和可靠性.     

脱胶工艺对不同段棉秆皮纤维性能的影响

定量测定棉秆皮各段成分含量,并采用化学二煮法脱胶方法对棉秆皮进行分段脱胶.以棉秆皮纤维细度、残胶率、断裂强度为指标,研究脱胶处理对提取的不同段棉秆皮纤维性能的影响.结果表明,在同一脱胶工艺条件下,不同段棉杆皮纤维的细度、残胶率、断裂强度有较大差异,棉秆皮应采用分段脱胶处理.合理的棉秆皮脱胶分段方案为：第一段根部,地表以下部分;第二段中段,地表以上长度25cm;第三段稍部,地表以上长度大于25cm.     

聚丙烯酸／细菌纤维素复合凝胶的制备与性能

通过在聚丙烯酸（PAA）聚合过程中添加细菌纤维素（BC）,制备PAA／BC复合凝胶,并研究无机填料蒙脱土（MMT）、硅藻土对PAA／BC复合凝胶的影响．结果表明：PAA／BC复合凝胶与PAA凝胶相比,吸水性能及保水性能均有一定程度的提高,BC用量为0．4％N,该复合凝胶的吸水及保水性能综合最佳．添加MMT、硅藻土的PAA／BC复合凝胶的吸水及保水性能均有提高,同样用量的MMT对凝胶的吸水性能提高更明显,而硅藻土对凝胶的保水性能提高更明显．SEM的微观结构分析验证了上述结果．