非晶态NiB配位催化2-亚丁基环己酮的选择加氢动力学研究

以超细非晶态NiB为催化剂、乙醇为溶剂 ,研究了常压条件下 2 -亚丁基环己酮的选择催化氢化反应。确定了反应对 2 -亚丁基环己酮的反应级数n =1,80℃下准一级反应的速率常数为k =3.4× 10 -3 min-1。同时考察了氢化过程中外扩散的影响以及温度、催化剂用量对反应的影响。求得反应的活化能Ea =16 .391kJ/mol。     

Key observation selection-based effective video synopsis for camera network

Nowadays, tremendous amount of video is captured endlessly from increased numbers of video cameras distributed around the world. Since needless information is abundant in the raw videos, making video browsing and retrieval is inefficient and time consuming. Video synopsis is an effective way to browse and index such video, by producing a short video representation, while keeping the essential activities of the original video. However, video synopsis for single camera is limited in its view scope, while understanding and monitoring overall activity for large scenarios is valuable and demanding. To solve the above issues, we propose a novel video synopsis algorithm for partially overlapping camera network. Our main contributions reside in three aspects: First, our algorithm can generate video synopsis for large scenarios, which can facilitate understanding overall activities. Second, for generating overall activity, we adopt a novel unsupervised graph matching algorithm to associate trajectories across cameras. Third, a novel multiple kernel similarity is adopted in selecting key observations for eliminating content redundancy in video synopsis. We have demonstrated the effectiveness of our approach on real surveillance videos captured by our camera network.     

过氧乙酸的合成与杀生作用研究

以乙酸和过氧化氢为原料合成了新型水处理杀生剂——过氧乙酸．并考察了过氧乙酸的贮存稳定性及稳定剂8-羟基喹啉的影响。通过细菌测试瓶法测细菌总数，研究了过氧乙酸杀生效果与投加浓度、pH值和作用时间之间的关系。结果表明：过氧乙酸作为水处理剂具有杀生速度快、杀生效果好的特点，是一种具有良好应用前景的水处理杀生剂。     

Effective naive Bayes nearest neighbor based image classification on GPU

Non-parametric classifier, Naive Bayes nearest neighbor, is designed with no training phase, and its performance outperforms many well-trained learning-based image classifiers. Unfortunately, despite its high accuracy, it suffers from great computational pressure from distance computations in space of local feature. This paper explores accelerating strategies from perspectives of both algorithm design and software development. Our approach integrates space decomposition capability of Product quantization (PQ) and parallel accelerating capability of underlying computational platform, Graphics processing unit (GPU). PQ is exploited to compress the indexed local features and prune the search space. GPU is used to ease most of computational pressure by processing the tasks in parallel. To achieve good parallel efficiency, a new sequential classification process is first designed and decomposed into independent components with high parallelism. Effective parallelization techniques are then presented to make use of computational resources. Parallel heap array is built to accelerate the process of feature quantization. Distance table lookup is built to speed up the process of feature search. Comparative experiments on UIUC-Sport dataset demonstrate that our integrated solution outperforms other implementations significantly on Core-quad Intel Core i7 950 CPU and GPU of NVIDIA Geforce GTX460. Scalability experiment on 80 million tiny images database shows that our approach still performs well when large-scale image database is explored.     

Adaptive Neural Control of a Hypersonic Vehicle in Discrete Time

The article investigates the discrete-time controller for the longitudinal dynamics of the hypersonic flight vehicle with throttle setting constraint. Based on functional decomposition, the dynamics can be decomposed into the altitude subsystem and the velocity subsystem. Furthermore, the discrete model could be derived using the Euler expansion. For the velocity subsystem, the controller is proposed by estimating the system uncertainty and unknown control gain separately with neural networks. The auxiliary error signal is designed to compensate the effect of throttle setting constraint. For the altitude subsystem, the desired control input is approximated by neural network while the error feedback is synthesized for the design. The singularity problem is avoided. Stability analysis proves that the errors of all the signals in the system are uniformly ultimately bounded. Simulation results show the effectiveness of the proposed controller.     

Robustness of globally exponential stability of delayed neural networks in the presence of random disturbances

This paper analyzes the robustness of globally exponential stability of time-varying delayed neural networks (NNs) subjected to random disturbances. Given a globally exponentially stable neural network, and in the presence of noise, we quantify how much noise intensity that the delayed neural network can remain to be globally exponentially stable. We characterize the upper bounds of the noise intensity for the delayed NNs to sustain globally exponential stability. The upper bounds of parameter uncertainty intensity are characterized by using transcendental equation. A numerical example is provided to illustrate the theoretical result.     

鹽酸氟桂利嗪有关物质测定方法的研究

在Balestrion·F.,Jirillo·R. 等人的研究及卫生部部颁标准在基础上,对盐酸氟桂利嗪的有关物质的测定方法进行了研究,由薄层色谱法改为高效液相色谱法,操作简单易行,分辨率高,重现性好,结果准确可靠。     

膜生物反应器技术处理洗浴废水的工程应用

根据洗浴废水的水质水量，设计了生物接触氧化和膜生物反应器相结合的处理工艺(水量为120m^3／d)。通过对工艺相关设计参数的选取和调试运行结果表明，该工艺具有处理效果稳定、抗冲击负荷强以及操作简便等优点。     

国产耐火砖在德士古水煤浆气化炉的使用

分析气化炉耐火材料损蚀原因及国产耐火砖在德士古水煤浆加压气化炉中的使用情况，使用结果证明，国产耐火砖可以替代进口砖，每年节约设备投资600万元左右。     

基于计算机测控技术的转矩流变仪的研制

介绍了基于计算机测控技术的聚合物转矩流变仪的研制，该仪器具有优良的性能指标，强大的数据文件处理能力、测试功能扩展能力，是高分子材料研究和开发的理想工具。