Data-driven hair segmentation with isomorphic manifold inference

Hair segmentation is challenging due to the diverse appearance, irregular region boundary and the influence of complex background. To deal with this problem, we propose a novel data-driven method, named Isomorphic Manifold Inference (IMI). The IMI method assumes the coarse probability map and the binary segmentation map as a couple of isomorphic manifolds and tries to learn hair specific priors from manually labeled training images. For an input image, firstly, the method calculates a coarse probability map. Then it exploits regression techniques to obtain the relationship between the coarse probability map of the test image and those of training images. Finally, this relationship, i.e., a coefficient set, is transferred to the binary segmentation maps and a soft segmentation of the test image will be achieved by a linear combination of those binary maps. Further, we employ this soft segmentation as a shape cue and integrate it with color and texture cues into a unified segmentation framework. A better segmentation is achieved by the Graph Cuts optimization. Extensive experiments are conducted to validate effectiveness of the IMI method, compare contributions of different cues and investigate the generalization of IMI method. The results strongly encourage our method.     

通用循环水冷却器延时关闭控制联动电路设计

目前许多大型仪器的循环冷却水系统，都没有提供相应的自动化延时关闭装置，给工作带来不便。经过分析，将主机供电系统与循环冷却水供电系统进行关联，设计了联动电路，实现了正常关机，循环冷却水系统自动延时20min后关闭。既节约了工作时间，又提高了工作效率。     

Experimental design in soap manufacturing for optimization of fuzzified process capability index

In manufacturing industries, the quality of a product depends on the combined effect of multiple input variables working singly or together and therefore attention has been given on process capability indices to shift from single to multivariate domain. In case of multivariable domain the capability to incorporate uncertainties at the time of decision making becomes necessary. Fuzzy system is introduced to take care of this requirement. In this article the process parameters of soap manufacturing industries have been analyzed. The process capability is determined using Fuzzy Inference System rule editor based on a set of justified if then statements as applicable for the process. The data has been collected in linguistic form to derive its process capability, using a set of justified rules and the effect of each factor has been determined using Design of Experiments (DoE) and analysis of variance technique (ANOVA) for improving the soap quality from perspective of its softness. This article ventures to propose a new methodology by integrating Fuzzy with DoE providing better result followed by DoE and Fuzzy Inference system in isolation.     

有机改性蒙脱土／木粉／PVC复合材料的阻燃性研究

将有机改性蒙脱土（OMMT）加入PVC木塑体系，制备了有机蒙脱土／木粉／聚氯乙烯（OMMT／WF／PVC）纳米复合材料。采用锥形扫描量热测试法研究了OMMT用量对WF／PVC复合材料阻燃性能的影响。结果表明，添加OMMT可明显降低木塑的初始热失重率，但使快速热分解的开始时间提前，大大提高样品的燃烧残余率，显著延迟木塑的点燃时间和燃烧热峰值产生时间，OMMT起到了有效的阻燃作用。OMMT的加入还降低了总燃烧热，但燃烧热峰值有所增加，并使发烟量有所增加，CO和CO2产率也随之提高，增加了木塑燃烧的烟气危害性。     

新颖除草剂研究进展

综述了新型除草剂研制的方向、重点和特点。涉及磺酰脲类除草剂 ,环状亚胺类除草剂 ,苯氧羧酸类除草剂 ,有机磷类除草剂。主要介绍了具有除草活性好的丙酮酸脱氢酶抑制剂研究新进展。     

钛合金化学镀镍工艺

采用一种含有氢氟酸的酸性溶液作为活化溶液,对钛合金表面进行化学镀镍。讨论了活化液、络合剂、Ni2 及H2PO2-浓度、缓冲剂及温度的确定。分别介绍了除膜、活化、预镀镍及化学镀镍工艺规范。对该镀镍层的耐蚀性及含磷量进行了测定,并对该镀层热处理前后的硬度、厚度、结合力、氢含量、耐磨损性及表面微观形貌进行了测试与比较。结果表明,采用本工艺可在钛合金表面沉积出70μm左右的镍磷合金镀层,磷含量在8%~11%(质量分数);氢含量可控制在50mg/kg;经200℃热处理1h后镀层硬度达到600HV,镀层与基体结合力好;经350℃热处理1h后镀层硬度达850HV,耐磨损性良好。该镀层可满足航空钛合金部件的要求。     

3-氨基-4-氯苯甲酸十六酯的合成

以3-氨基-4-氯苯甲酸和正十六醇为原料，二甲苯为溶剂，对甲苯磺酸为催化剂酯化合成3-氨基-4-氯苯甲酸十六酯。采用傅里叶红外光谱（FTIR）、核磁共振光谱（NMR）的方法对产品的结构进行表征。考察了醇酸摩尔比、催化剂加量、反应物浓度对酯化率的影响。结果表明：醇酸摩尔比1.2:1，催化剂用量为总质量5%，反应物浓度65%，反应时间7 h，酯化率达96.20%，单程收率为73.91%。研究确立了产物提纯、提高单程收率和滤液去除催化剂后回收、重复使用的最佳系统工艺路线，单程收率提至78.90%，总收率为82.62%，产品的纯度高于使用标准。     

Recent progress in road and lane detection: a survey

The problem of road or lane perception is a crucial enabler for advanced driver assistance systems. As such, it has been an active field of research for the past two decades with considerable progress made in the past few years. The problem was confronted under various scenarios, with different task definitions, leading to usage of diverse sensing modalities and approaches. In this paper we survey the approaches and the algorithmic techniques devised for the various modalities over the last 5 years. We present a generic break down of the problem into its functional building blocks and elaborate the wide range of proposed methods within this scheme. For each functional block, we describe the possible implementations suggested and analyze their underlying assumptions. While impressive advancements were demonstrated at limited scenarios, inspection into the needs of next generation systems reveals significant gaps. We identify these gaps and suggest research directions that may bridge them.     

耐药大肠杆菌的致病性与免疫原性

目的了解大肠杆菌耐药株的致病性与免疫原性。方法临床分离耐药大肠杆菌,经适宜条件培养后接种小鼠,观察耐药菌株对小鼠的致病性;并选择已知血清型的不同耐药谱和不同耐药水平的菌,分别培养至对数生长期,经甲醛灭活后免疫小鼠,2周后分别用致死剂量的原菌株和同期分离菌株进行攻毒,考察耐药菌株免疫原性。结果24株耐药菌普通肉汤培养物分别感染小鼠,在接种后18h,存活率仅为4%。只有2株菌在1周内仍不能将小鼠全部致死,经小鼠体内传3代后,可在18h内致死小鼠。耐药谱广的菌株感染的小鼠,心肌发生颗粒变性、局灶性出血、坏死;肝脏糖元溶解,脂肪变性;脾脏轻度淤血,淋巴细胞减少;肾脏出血,肾小球肾炎,上皮细胞颗粒变性,水泡变性。而耐药种类少的菌株与对照敏感菌株感染的小鼠主要特征为脾脏出血、淤血,坏死,脾小体消失;肠上皮细胞坏死、脱落、卡他性肠炎。免疫小鼠以免疫用菌株攻毒,均可得较高的保护率,最低为75%,最高为100%。免疫小鼠用非免疫菌株攻毒,小鼠感染后症状出现较缓慢,在18h后出现死亡高峰。耐药种类少的菌株免疫小鼠,对同期分离的非免疫用的致病性大肠杆菌攻击的保护率偏低,而对受试的11种抗生素耐受7种以上的菌株免疫小鼠后,对致病大肠杆菌攻击的保护率显著提高,多数达到75%以上,经统计学分析差异显著。结论耐药大肠杆菌具有较强致病性,且耐药特性与其免疫保护效果相关,多重耐药株对当前流行菌株具有更好的免疫保护作用。     

Equi-affine Invariant Geometry for Shape Analysis

Traditional models of bendable surfaces are based on the exact or approximate invariance to deformations that do not tear or stretch the shape, leaving intact an intrinsic geometry associated with it. These geometries are typically defined using either the shortest path length (geodesic distance), or properties of heat diffusion (diffusion distance) on the surface. Both measures are implicitly derived from the metric induced by the ambient Euclidean space. In this paper, we depart from this restrictive assumption by observing that a different choice of the metric results in a richer set of geometric invariants. We apply equi-affine geometry for analyzing arbitrary shapes with positive Gaussian curvature. The potential of the proposed framework is explored in a range of applications such as shape matching and retrieval, symmetry detection, and computation of Voroni tessellation. We show that in some shape analysis tasks, equi-affine-invariant intrinsic geometries often outperform their Euclidean-based counterparts. We further explore the potential of this metric in facial anthropometry of newborns. We show that intrinsic properties of this homogeneous group are better captured using the equi-affine metric.