体验消费与染织艺术的传承与发展

目的在现代商业环境及文化创意产业发展背景下,为传统染织艺术文化的传承和发展探寻可行之路。方法通过体验消费的方法和模式研究,分析消费者在体验消费过程的行为和心理活动,并结合传统手工染织艺术的产品和生产过程的特点,探讨现代体验消费的商业模式对染织艺术传承和发展的作用与影响。结论传统染织艺术文化可以通过艺术沙龙的形式,在高雅的商业艺术环境中展现手工染织的艺术魅力,从而让传统染织手工艺重新找到生存的土壤,使染织艺术得以传承和发展。     

主人椅的设计进阶路径研究

目的发扬工匠精神,运用传统文化,完成具有中国风格的创新设计。方法站在批评的视角,以汉斯·瓦格纳的中国椅为例,通过中国椅和明式圈椅的设计对比,指出明式圈椅的器物造型所蕴涵的中国文化基因对西方设计的优势,同时受到国外发达国家设计进阶过程所秉承的以人为本的设计理念以及所显现出的工匠精神启发,再结合体验设计方法完成主人椅的设计实践。结论工匠精神和传统文化基因是当代设计创新的保障和资源,蕴涵工匠精神的创新设计值得正在成长的中国企业和设计师借鉴与学习。     

形态演变对家电产品风格的影响研究

目的探讨冰箱形态演变的影响因素并研究形态演变对家电产品风格的影响。方法搜集了海尔冰箱的相关产品资料,提取了冰箱主面板形态特征并进行数据统计分析,对不同型号冰箱的线条特征、分割比例等造型元素进行了归纳总结。结论冰箱的形态演变主要受消费者需求变化和设计风格的影响。     

金属材料断裂准则研究进展

介绍了金属材料断裂准则的研究进展,包括传统强度理论、现代断裂力学理论及常用断裂准则,并对各种准则的特点进行了简要分析。     

网络赌博犯罪现状分析与污染探讨

随着计算机网络技术的迅速发展和普及,网络犯罪接踵而来。网络空间最大的特征是其虚拟性,利用网络犯罪的行为和造成的后果却是客观存在的、应给与否定评价的现实实际。网络赌博犯罪中,网络因素的介入,使得传统赌博犯罪的构成要素、表现形态有了新的样态。网络赌博犯罪活动越来越猖獗,已经严重危害社会治安秩序。传统刑法理论如何应对网络赌博犯罪的冲击,摆脱适用的尴尬局面,是研究网络犯罪迫切需要解决的难题。     

Parameterized complexity of control problems in Maximin election

Elections are a central model in a variety of areas. This paper studies parameterized computational complexity of five control problems in the Maximin election. We obtain the following results: constructive control by adding candidates is W[2]-hard with respect to the parameter “number of added candidates”; both constructive and destructive control by adding/deleting voters are W[1]-hard with respect to the parameter “number of added/deleted voters”.     

A class of aggregation functions encompassing two-dimensional OWA operators

In this paper we prove that, under suitable conditions, Atanassov’s K_α operators, which act on intervals, provide the same numerical results as OWA operators of dimension two. On one hand, this allows us to recover OWA operators from K_α operators. On the other hand, by analyzing the properties of Atanassov’s operators, we can generalize them. In this way, we introduce a class of aggregation functions - the generalized Atanassov operators - that, in particular, include two-dimensional OWA operators. We investigate under which conditions these generalized Atanassov operators satisfy some properties usually required for aggregation functions, such as bisymmetry, strictness, monotonicity, etc. We also show that if we apply these aggregation functions to interval-valued fuzzy sets, we obtain an ordered family of fuzzy sets.     

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models

Current extensions of hidden Markov models such as structural, hierarchical, coupled, and others have the power to classify complex and highly organized patterns. However, one of their major limitations is the inability to cope with topology: When applied to a visible observation (VO) sequence, the traditional HMM-based techniques have difficulty predicting the n-dimensional shape formed by the symbols of the VO sequence. To fulfill this need, we propose a novel paradigm named “topological hidden Markov models” (THMMs) that classifies VO sequences by embedding the nodes of an HMM state transition graph in a Euclidean space. This is achieved by modeling the noise embedded in the shape generated by the VO sequence. We cover the first and second level topological HMMs. We describe five basic problems that are assigned to a second level topological hidden Markov model: (1) sequence probability evaluation, (2) statistical decoding, (3) structural decoding, (4) topological decoding, and (5) learning. To show the significance of this research, we have applied the concept of THMMs to: (i) predict the ASCII class assigned to a handwritten numeral, and (ii) map protein primary structures to their 3D folds. The results show that the second level THMMs outperform the SHMMs and the multi-class SVM classifiers significantly.     

A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images

Many secret sharing schemes for digital images have been developed in recent decades. Traditional schemes typically must deal with the problem of computational complexity, and other visual secret sharing schemes come with a higher transmission cost and storage cost; that is, each shadow size is m times as big as the original secret image. The new (2,n) secret sharing scheme for grayscale images proposed in this paper is based a combination of acceptable image quality using block truncation coding (BTC), high compression ratio discrete wavelet transform (DWT) and good subjective performance of the vector quantization (VQ) technique. Experimental results confirm that our proposed scheme not only generates a high quality reconstructed original image but also generates small, random-like grayscale shadows.