Research on the measure method of complaint theme influence on online social network

Consumer complaints on online social network quickly become online groups complaints through many people’s aggregation and looking on, interaction and word-of-mouth communication. Therefore, assessing and managing online complain influence has become a new problem for enterprise to listen to and manage online group complaints. This paper analyzed the complaint information feature of consumer group on online social network, from three-dimensional perspective of complaint text’s quality, transmission timeliness and user interaction degree. We built the influence measure model of online complaint theme based on entropy weight model by monitoring and analyzing real-time the static and dynamic properties of complaint information, explored the measure method of complaint theme influence, employed empirical method to verify the validity and provided scientific decision-making tools and methods for enterprise listening to and managing online group complains.     

橘纹漆涂装过程中色差产生的因素及控制

通过CIELAB色值测量方法测定了不同生产批次的丙烯酸氨基橘纹烤漆、不同施工黏度的氨基烤漆、以不同溶剂配制的醇酸橘纹烤漆和丙烯酸氨基橘纹烤漆以及不同花纹的丙烯酸氨基橘纹烤漆的颜色参数。分析了橘纹漆在涂装过程中,由于原材料、施工黏度、溶剂种类以及喷涂后橘纹花纹大小等各种不同因素而导致的色差。提出对原材料色差和喷涂作业参数实行量化管理是控制橘纹漆色差的有效方法。     

陶瓷窑炉用高精度温度测量仪的研制

研制了一种可直接测量热电阻和热电偶输入的高精度温度测量仪，介绍了它的硬件和软件构成，研究了前置放大电路的设计和测量数据的软件非线性补偿方法，实际应用表明，该测量仪具有较高的测量精度。     

水泥企业常用热电偶的使用与维护

测温元件——热电偶热的电势大小仅和两金属的材料及两结合点的温度有关．鉴于此因素．适当的维护和维修可延长其使用寿命，减少生产成本。针对不同测量系统和不同工艺要求，介绍了四种水泥企业最常用的热电偶以及安装热电偶时所需注意事项。根据生产实践，重点介绍了热电偶的常见故障及其维护与维修方法。     

中压汽包法兰断裂失效原因分析及改进措施

本文针对中压汽包法兰断裂失效原因进行分析，指出汽包上两个法兰同时断裂的原因在于安全阀排汽管路设计上的失误，并提出对安全阀排汽系统的改进措施。     

管壳式换热器管束振动分析及防振措施

针对管壳式换热器常见的振动破坏形式 ,全面分析了管束振动的机理 ,并提出了相应的抗振措施     

数显仪表在生产中的抗干扰措施探讨

着重分析了在生产中使用数显仪表干扰产生的原因，列举了抗干扰的措施和在生产实践中取得的成绩。     

我国二氧化硫氧化制硫酸的钒催化剂现状和展望

从钒催化剂的生产、市场、开发、质量等方面分析我国二氧化硫氧化制硫酸催化剂的现状，指出我国钒催化剂与国外产品存在的差距和原因，提出发展钒催化剂的对策。     

浅论食品化学污染及其防治策略

分析了食品化学污染的主要途径,以及这些污染物对人体健康的危害性,对食品化学污染的防治策略进行了探讨。     

A general non-local denoising model using multi-kernel-induced measures

Noises are inevitably introduced in digital image acquisition processes, and thus image denoising is still a hot research problem. Different from local methods operating on local regions of images, the non-local methods utilize non-local information (even the whole image) to accomplish image denoising. Due to their superior performance, the non-local methods have recently drawn more and more attention in the image denoising community. However, these methods generally do not work well in handling complicated noises with different levels and types. Inspired by the fact in machine learning field that multi-kernel methods are more robust and effective in tackling complex problems than single-kernel ones, we establish a general non-local denoising model based on multi-kernel-induced measures (GNLMKIM for short), which provides us a platform to analyze some existing and design new filters. With the help of GNLMKIM, we reinterpret two well-known non-local filters in the united view and extend them to their novel multi-kernel counterparts. The comprehensive experiments indicate that these novel filters achieve encouraging denoising results in both visual effect and PSNR index.