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.     

Centroid index: Cluster level similarity measure

In clustering algorithm, one of the main challenges is to solve the global allocation of the clusters instead of just local tuning of the partition borders. Despite this, all external cluster validity indexes calculate only point-level differences of two partitions without any direct information about how similar their cluster-level structures are. In this paper, we introduce a cluster level index called centroid index. The measure is intuitive, simple to implement, fast to compute and applicable in case of model mismatch as well. To a certain extent, we expect it to generalize other clustering models beyond the centroid-based k-means as well.     

Linear reconstruction measure steered nearest neighbor classification framework

The linear reconstruction measure (LRM), which determines the nearest neighbors of the query sample in all known training samples by sorting the minimum L₂-norm error linear reconstruction coefficients, is introduced in this paper. The intuitive interpretation and mathematical proofs are presented to reveal the efficient working mechanism of LRM. Through analyzing the physical meaning of coefficients and regularization items, we find that LRM provides more useful information and advantages than the conventional similarity measure model which calculates the distance between two entities (i.e. conventional point-to-point, C-PtP). Inspired by the advantages of LRM, the linear reconstruction measure steered nearest neighbor classification framework (LRM-NNCF) is designed with eight classifiers according to different decision rules and models of LRM. Evaluation on several face databases and the experimental results demonstrate that these proposed classifiers can achieve greater performance than the C-PtP based 1-NNs and competitive recognition accuracy and robustness compared with the state-of-the-art classifiers.     

双质体振动机的应用——浅谈解决橡胶后处理装置地基振动的方法

以降低合成橡胶生产厂后处理装置各种振动机造成的地基振动为目的,对双质体振动机的隔振效能进行了定量分析。通过生产实践,总结了单质体振动机、非平衡型双质体振动机和对称平衡型双质体振动机的优缺点,给出了后者的设计计算数据。经综合分析和生产考核,认为采用对称平衡型双质体振动机是降低地基振、降低噪音、延长振动机的运转周期和使用寿命的最佳方法。     

振兴石油化工 科技必须先行

阐述了中国石化总公司成立以来科技开发工作所取得的成果，介绍了推进科技进步的具体措施。     

液氯离心泵的气蚀与防治

分析了影响液氯离心泵气蚀的两种参数：允许吸上真空度、气蚀余量。提出了泵气蚀的防治措施：提高离心泵基础设计质量，在实际使用中应采用高分子聚合材料涂覆，并进行补焊、补气。     

基于混合属性的产品优化聚类算法

针对分类研究中采用单一类型数据造成的结果失真, 提出了综合考虑产品属性和销售时间序列的两阶段优化聚类算法。分别采用基于属性的相似性排序及时间序列的分层优化聚类实现产品单独聚类, 然后基于初始聚类结果及参数化的动态相对权重提出考虑噪声数据处理的分层聚类方法实现产品综合优化分类。企业实例应用研究表明综合聚类模型及两阶段算法在聚类精度及时间复杂度上具有明显的优势, 相对权重的动态参数化设置有效解决了不同产品间个性化特征的差异表示。通用数据集的仿真进一步验证了算法在解决混合属性产品聚类问题时的优越性及广泛适用性。