ANALYSIS OF CIRCUIT TOLERANCE BASED ON RANDOM SET THEORY

Monte Carlo Analysis has been an accepted method for circuit tolerance analysis, but the heavy computational complexity has always prevented its applications. Based on random set theory, this paper presents a simple and flexible tolerance analysis method to estimate circuit yield. It is the alternative to Monte Carlo analysis, but reduces the number of calculations dramatically.

Content-Based Image Retrieval：Near Tolerance Rough Set Approach

The problem considered in this paper is how to detect the degree of similarity in the content of digital images useful in image retrieval,i.e.,to what extent is the content of a query image similar to content of other images.The solution to this problem results from the detection of subsets that are rough sets contained in covers of digital images determined by perceptual tolerance relations(PTRs).Such relations are defined within the context of perceptual representative spaces that hearken back to work by J.H.Poincare on representative spaces as models of physical continua.Classes determined by a PTR provide content useful in content-based image retrieval(CBIR).In addition,tolerance classes provide a means of determining when subsets of image covers are tolerance rough sets(TRSs).It is the nearness of TRSs present in image tolerance spaces that provide a promising approach to CBIR,especially in cases such as satellite images or aircraft identification where there are subtle differences between pairs of digital images,making it difficult to quantify the similarities between such images.The contribution of this article is the introduction of the nearness of tolerance rough sets as an effective means of measuring digital image similarities and,as a significant consequence,successfully carrying out CBIR.

Machine intelligence,rough sets and rough-fuzzy granular computing:uncertainty handling in bio-informatics and Web intelligence

Machine intelligence,is out of the system by the artificial intelligence shown.It is usually achieved by the average computer intelligence.Rough sets and Information Granules in uncertainty management and soft computing and granular computing is widely used in many fields,such as in protein sequence analysis and biobasis determination,TSM and Web service classification Etc.

Fault-Tolerant Resolvability of Certain Crystal Structures

An ordered set W of vertices of a graph G is called a resolving set, if all the vertices of G are uniquely determined by the vector of distances to the vertices in W. The metric dimension of G is the minimum cardinality of a resolving set of G. A resolving set W for G is fault-tolerant if W\{v} is also a resolving set, for each v in W, and the fault-tolerant metric dimension of G is the minimum cardinality of such a set. In this paper we determine the metric dimension and fault-tolerant metric dimension problems for the graphs of certain crystal structures.

商集统计Rough sets及其医学辅助诊断模式

在医学上没有正确的诊断,就没有正确的治疗。针对收集的确诊病例多,因假阳性或假阴性等造成误诊和漏诊的情况,以及根据诊断匹配时的要求不同,提出一种基于商集统计Roughsets的医学辅助诊断模式。通过对数据测试表明,该模式是可行有效的,是一种能根据临床需要进行辅助诊断的方案。

一种具有锁定检测结构的新型抗SET效应DLL设计技术

针对延迟锁相环的结构和对单粒子效应敏感性的分析,提出了一种具有锁定检测结构的新型抗SET加固DLL结构,该结构能在满足原有DLL性能指标的前提下实现对SET效应的加固,保证DLL正交四相时钟的正确输出.基于65nm CMOS工艺进行电路设计仿真,结果显示在500 MHz工作频率下,此DLL功能正确,抗SET性能良好,SET阈值达到100 MeV·cm2/mg,在空间辐射环境中具有很好的稳定性.

Clinical benefit and tolerability of adjuvant intraperitoneal chemotherapy in patients who have or have not received neoadjuvant chemotherapy for advanced ovarian cancer

BACKGROUND Adjuvant chemotherapy using intraperitoneal(IP)treatment has demonstrated survival benefit over intravenous(IV)therapy alone in patients treated with upfront debulking surgery for advanced stage ovarian cancer.Neoadjuvant chemotherapy followed by interim surgery and adjuvant chemotherapy has similar outcome in survival as compared to upfront surgery followed by adjuvant IV chemotherapy.IP chemotherapy has not been widely adopted in clinical practice for a number of reasons.Whether IP chemotherapy delivered in the patients who received neoadjuvant chemotherapy can be well tolerated or confers any clinical benefit has not been well studied.AIM To evaluate the experience of adjuvant IP chemotherapy in the community cancer clinic setting,and the clinical benefit and tolerability of incorporating IP chemotherapy in patients who received neoadjuvant treatment.METHODS We retrospectively evaluated toxicities and outcomes of patients with stage III and IV ovarian cancer diagnosed at our institution between 07/2007 and 07/2015 who received intraperitoneal chemotherapy after cytoreductive surgery(group 1)or after neoadjuvant chemotherapy followed by interim surgery(group 2).RESULTS Thirty eight patients were treated with IP chemotherapy,median age was 54 years old(range 38.6 to 71 years).In group 1(n=25),12(48%)of the patients completed 4 or more cycle of IP treatment after upfront debulking surgery;while in group 2(n=13),8(61.5%)of the patients completed all 3 cycles of the assigned IP chemotherapy after receiving neoadjuvant IV chemotherapy followed by surgery,and 2(15.4%)more patients tolerated more than 3 cycles.In those patients who did not get planned IP chemotherapy,most of them were treated with substitutional IV chemotherapy,and the completion rate for 6 cycles of IV+IP was 92%.Abdominal pain,(64%in group 1 and 38%in group 2),vomiting,(36%in group 1 and 30.8%in group 2),dehydration(16%in group 1 and 15.4%in group 2),and hypomagnesemia(12%in group 1 and 15.4%in group 2)were the most common adverse effects in all patients,while patients who have received neoadjuvant chemotherapy were more likely to get hypokalemia,fatigue and renal insufficiency.Progression free survival(PFS)was 26.5 mo(95%CI 14.9,38.0)in group 1 and 27.6 mo(95%CI 13.1,42.1)in group 2.The overall survival was 100.2 mo(95%CI 67.9,132.5)for group 1 and 68.2 mo(95%CI 32.2,104.0)for group 2.For the entire cohort,PFS was 26.5 mo(95%CI 15.9,37.0)and OS was 78.8 mo(95%CI 52.3,105.4).CONCLUSION The use of IP/IV chemotherapy can be safely administrated in the community cancer clinic setting.The use of IP/IV chemotherapy in patients who have received neoadjuvant chemotherapy followed by surgery is feasible and tolerable.Despite various modification of the IP regimen,incorporation of IP chemotherapy in the adjuvant setting appears to be associated with improved PFS and overall survival.

Attributes reduct and decision rules optimization based on maximal tolerance classification in incomplete information systems with fuzzy decisions

A new approach to knowledge acquisition in incomplete information system with fuzzy decisions is proposed. In such incomplete information system, the universe of discourse is classified by the maximal tolerance classes, and fuzzy approximations are defined based on them. Three types of relative reducts of maximal tolerance classes are then proposed, and three types of fuzzy decision rules based on the proposed attribute description are defined. The judgment theorems and approximation discernibility functions with respect to them are presented to compute the relative reduct by using Boolean reasoning techniques, from which we can derive optimal fuzzy decision rules from the systems. At last, three types of relative reducts of the system and their computing methods are given.

Methods for Lower Approximation Reduction in Inconsistent Decision Table Based on Tolerance Relation

It is well known that most of information systems are based on tolerance relation instead of the classical equivalence relation because of various factors in real-world. To acquire brief decision rules from the information systems, lower approximation reduction is needed. In this paper, the lower approximation reduction is proposed in inconsistent information systems based on tolerance relation. Moreover, the properties are discussed. Furthermore, judgment theorem and discernibility matrix are obtained, from which an approach to lower reductions can be provided in the complicated information systems.

Remote sensing data classification using tolerant rough set and neural networks

BP algorithm of neural net is used more in remote sensing data classification. One of drawbacks of BP algorithm is the overall low function when the net is training. To avoid this kind of problem, the paper introduces the tolerant rough set for classification-preprocessing the training data to reduce the influence elements of the training convergence in order to improve the net training successful rate. ETM+ data of Beijing in May 2003 is selected in the study. ETM+ data before and after classification preprocessing, respectively, are used for BP (Back propaga-tion) training. The result shows that such a preprocessing not only compensates the drawback of BP algorithm when processing ETM+ data but also improves classification accuracy.

基于活动恢复集的有效低频行为分析方法

低频行为识别是揭示业务流程重要信息和优化流程模型的方法之一,现有流程发现方法忽略了数据影响链对低频行为产生的影响,导致了一些低频行为被视为噪声直接过滤掉。针对这一问题,提出了一种基于活动恢复集的有效低频行为分析方法。首先根据事件日志中的行为重要性过滤日志,并构建初始流程模型;其次从事务日志中提取活动的输入输出数据项,并根据这些数据项构造活动影响链图,在此基础上获取每个活动基于迹的活动恢复集;最后根据活动恢复集来计算每条迹的行为容忍度以区分有效低频行为和噪声。实验结果表明,与其他方法相比,该方法能够有效区分有效低频行为与噪声,并且从拟合度、精度以及简单性方面提高了流程模型的质量。该方法考虑了由活动恢复集而导致的偏差情况,可以成功识别事件日志中的有效低频行为,从而优化了流程模型。

容差粗糙集的结构化近似

将结构化技术用于容差粗糙集模型,提出结构化容差粗糙集模型,并借助φ算子对该模型进行刻画,研究其相关性质。由于结构化容差粗糙集的上、下近似是以容差类为元素的多重集,因而有效保地留对象间的结构信息。最后,对该模型的不精确性和不完备性的刻画进行讨论。

不完备信息系统下的属性约简算法

传统的粗糙集模型是处理完全信息系统的有力工具,但对于不完全信息系统却显得无能为力。因此对不完备信息系统的研究也是粗集理论研究领域之一。本文在M.Kryszkiewcz提出的一个容差关系的基础上提出改进,使之更加具有灵活性。然后以该改进模型为基础,运用属性重要性理论,给出属性约简算法,并通过一个实例来验证。最后将该算法和经典算法进行了比较。

基于不完备数据聚类的缺失数据填补方法

缺失数据的处理是数据挖掘领域进行数据预处理的一个重要问题.传统的缺失数据填补方法大部分是基于概率分布等一些统计假设,对于大数据集的数据挖掘不一定是最适合的方法.受不完备数据分析(ROUSTIDA)未采用传统的概率统计学方法启发,提出基于不完备数据聚类的缺失数据填补方法(MIBOI),针对分类变量不完备数据集定义约束容差集合差异度,直接计算不完备数据对象集合内所有对象的总体相异程度,以不完备数据聚类的结果为基础进行缺失数据的填补.采用UCI机器学习基准数据集进行实验表明,MIBOI对缺失数据的填补是有效可行的.

基于改进的完备容差关系的扩充粗糙集模型

经典粗糙集理论不能直接处理不完备信息系统,而容差关系、相似关系限制容差关系和完备容差关系等扩充粗糙集模型在一定程度上解决了这个问题。分析了这些模型存在的局限性,并在完备容差关系的基础上,提出了基于改进的完备容差关系的扩充粗糙集模型,该模型既保留了已有模型的优点,又在一定程度上克服了它们的局限性。实例分析表明该模型对不完备信息系统的处理更符合实际情况。

杂交水稻孕穗期和开花期耐冷性鉴定指标研究

以人工气候箱和大田试验相结合的方法对18个杂交水稻组合的孕穗期和开花期进行耐冷性鉴定。结果表明,低温处理后的相对结实率能够反映不同品种的耐冷性差异,可作为耐冷鉴定的主要评价指标;相对结实率与相对株高和相对着粒密度呈极显著的正相关,相关系数在开花期分别为0.4653和0.4182,孕穗期分别为0.4951和0.7010,可作为耐冷性鉴定评价辅助指标;相对结实率与相对包颈长差呈显著负相关(开花期r1=-0.2609,孕穗期r2=-0.2265),相对包颈长差也可作为一个参考指标。经逐步多元回归分析表明,相对株高、相对着粒密度和相对包颈长差对相对结实率影响较大。

水稻幼苗期耐冷性选择对主要农艺性状的影响

利用籼粳稻杂交后代 (密阳 2 3/通 88- 7、密阳 2 3/ TR2 2 183、密阳 2 3/高产 10 2 )探讨了水稻幼苗期耐冷性选择对主要农艺性状的影响。从籼粳稻杂交后代 F2 和 F3 中选择的耐冷个体群或系统群与随机个体群或敏冷系统群间进行主要农艺性状的比较结果表明 ,在 F2 和 F3 水稻幼苗期耐冷性选择对秆长、穗长和穗数并不产生显著的影响 ,但选择获得的幼苗期耐冷性强的 F2 个体群的孕穗期耐冷性 (结实率 )、F3 系统群的分蘖期耐冷性 (赤枯度 )和孕穗期耐冷性 (结实率 )均显著强于随机个体群和敏冷系统群 ;在冷水处理下 F3 幼苗期耐冷性强的耐冷系统群的产量显著高于敏冷系统群。提出在水稻幼苗期以叶赤枯度来选择幼苗期耐冷性强的个体是获得高产耐冷后代材料的有效途径。

低温冷害影响水稻结实率的要因分析

通过对 1 0个水稻品种的花器性状与结实率的分析 ,表明水稻孕穗期受低温冷害后 ,花药缩小 ,花药内可育花粉数减少 ,不育花粉数增多 ,结实率下降 ,其中花药内的可育花粉数对水稻的结实率起着决定性的作用。

基于粗糙集理论和朴素贝叶斯网络的电网故障诊断方法

电网发生故障后,当故障信息存在不完整或不确定性,甚至关键信息丢失时,会导致故障诊断难以得出正确结论。针对此问题,文章提出了一种粗糙集理论和朴素贝叶斯网络相结合的电网故障诊断方法。首先以保护、断路器作为条件属性,故障区域作为决策属性,考察各种故障情况并建立决策表,然后利用基于可辨识矩阵和信息熵的属性约简方法提取最佳属性约简组合,最后以最佳属性约简组合形成的约简决策表建立朴素贝叶斯网络模型,并对节点概率进行训练。运用VC++编写了基于该方法的故障诊断软件,算例结果表明,该方法正确、有效,能提高系统在丢失核属性情况下的容错性,具有较好的实用价值。

抽穗开花期耐高温的爪哇稻资源筛选

通过人工气候室鉴定和分期播种试验,对来自于不同国家和地区的95份爪哇稻进行抽穗开花期耐高温特性评价。以综合结实率为指标,通过聚类分析将95份爪哇稻分为耐热能力不同的3类。综合考虑大田分期播种的结实率和人工气候室鉴定结果,筛选出耐高温品种IRAT109(IRRI编号38563)、260(IRRI编号14888)和L 4-34(IRRI编号13403),可用于水稻耐高温新品种的选育及耐热性遗传机制研究。