Q-代数的区间值（α^~,β^~]-模糊子代数

模糊区间值与区间值模糊集的重于关系概念被考虑,这种关系是模糊点与模糊集的重于关系的推广.利用这种新的思想,引入了Q-代数的区间值（∈,∈∨q）-模糊子代数和区间值（∈,∈∨q-）-模糊子代数的概念,推广了Q-代数的模糊子代数,并研究了它们的相关性质.特别地,界限模糊子群之概念被扩展到Q-代数的界限区间值模糊子代数的概念上来.     

基于CFAR的SAR图像分割

选用瑞利分布模型对SAR图像进行恒虚警率(CFAR)检测。提出新的参考窗口选取方法,并针对虚警特点提出新的均值估计方法。实验证明,与一般的均值估计方法相比,文中提出的均值估计方法是可行的、有效的,且与其中提出的参考窗口选取方法相结合能更好地去除虚警,保留目标信息。     

电动车能量再生技术

1　Introduction　Therateddistanceisoneofkeyfactorstolimitthedevelopmentofelectricvehicle (EV)sinceEVwasin vented .Itisawayforincreasingtherateddistancetoputtheadvancedenergyregenerationtechnologyintouse .Manyexperimentsprovethattheactualrateddistanceofaelectricscooterunderthecityroadsur roundingsisabout 35 - 45kmwhileitisabout 5 5 - 6 5kmunderthestandard proving ground .Moreover ,JapanToyotaalsoprovedthattherateddistancecouldbeincreasedby 2 0 %whenusingtheenergyregenera tionsysteminEV .Soi…     

Effective extraction of elastase from Bacillus sp. fermentation broth using aqueous two-phase system

INTRODUCTION Aqueous two-phase system (ATPS) is widely used in biochemistry and biotechnology for purifica- tion of proteins (Diamond and Hsu, 1992; Balasubramaniam et al., 2003), enzymes (Pan et al., 2001; Bim and Franco, 2000), amino acids (Li et al., 2002), antibiotics (Yang et al., 1994; Guan et al., 1994), nucleic acids (Ohlsson et al., 1978; Kimura, 2000), aroma compounds (Marco et al., 2000) and lactic acid (Planas et al., 1998). ATPS is mainly composed of two-incompatible p…     

小生境遗传算法在函数优化中的应用

探讨了基于稳态复制策略的二进制小生境遗传算法,并把其应用于复杂函数优化问题中,通过与基于最优保存策略的基本遗传算法进行比较,说明改进算法可以极大克服遗传算法未成熟收敛问题以及极易陷入局部解问题,提高了算法收敛性能和收敛速度。     

提升就业质量:职业教育发展的新视角

职业教育应努力追求“充分的、生产性的和自由选择的就业”目标的实现;不能仅仅关注毕业生的“就业率”,而更要将“提升就业质量”作为发展的新视角。所谓“就业质量”,一般概括为职业社会地位、工资水平、社会保障、发展空间等四大方面,具体体现在职业声望、职业期望满足程度、职业成就、职业锚、专业方向与职业的适应性、人职匹配诸方面。提升就业质量途径和措施主要概括为:首先,重视提高职业咨询或职业指导的质量;其次,基于就业质量的提升,改革职业教育课程与教学;再次,借鉴发达国家和地区的“现代学徒制”理论和实践经验,创设“本土化的”产学合作现代职业教育模式。     

基于(G)模糊积分的信息融合方法

采用单一模糊积分进行信息融合的结果有时可能明显失真。例如,(S)模糊积分融合时只考虑了单分类器的识别结果与相应分类器集重要程度中较小的那个量的信息,有时可能会产生错误的分类结果。为了弥补(S)模糊积分等模糊积分的局限性,提出基于(G)模糊积分的信息融合方法,将多个模糊积分的融合结果加权平均作为分类的依据,可以对各单一模糊积分融合效果取长补短,有助于提高多分类器融合系统的识别率和稳健性。     

二外日语教学新探

总结了笔在二外日语教学中的实践和探索，提出了二外日语教学在听、说、读、写、译五项基本技能方面全面发展的必要性和可行性。在课堂教学方面主要体现为合理的进度安排及多种教学法相结合。此外本提倡在语言教学中适当进行化背景的介绍，并针对英语专业的特点，提出通过中英日三种语言的对比来加深学生对日语的理解。     

Role of recognition of prior learning for emerging economies: learning from a four sector pilot project in India

Recognition of prior learning (RPL) has increasingly been recognised as a useful way to certify experience and competencies gained in the workplace informally. Particularly pertinent is RPL in the context of international migration or in economies, where system reforms seek to overcome challenges related to access to formal training and qualifications. India has the goal to skill 300 million of its growing workforce and provide them access at various levels to certification and further learning opportunities. As a part of the overall system reforms, the Government of India, jointly with the ILO, pilot tested RPL in four sectors in collaboration with the industry and built the foundation for wider replication for another 26 growth sectors by undertaking a tracer study and evaluation. This paper can empirically establish that RPL has had a positive effect on income opportunities, occupational safety, social status and openness to further learning. The paper further discusses the challenges encountered during the implementation of the RPL projects before concluding with recommendations, highlighting the aspects required for quality RPL in an emerging economy. It closes by emphasising the importance of conducting tracer studies to determine impact and the need to provide complementary training during the RPL process.     

用于线性优化的基于核函数的动态步长原-对偶内点算法

In this paper, primal-dual interior-point algorithm with dynamic step size is implemented for linear programming （LP） problems. The algorithms are based on a few kernel functions, including both serf-regular functions and non-serf-regular ones. The dynamic step size is compared with fixed step size for the algorithms in inner iteration of Newton step. Numerical tests show that the algorithms with dynaraic step size are more efficient than those with fixed step size.