消费者情感偏好对运动文胸设计要素的影响

为了解18~45岁女性消费者在购买运动文胸时的情感偏好,以消费者在穿着体验中的评价为依据进行问卷调研,衡量消费者的情感偏好。通过探索性因子分析和验证性因子分析,构建5个一级指标和21个二级指标的消费者情感偏好评价指标模型,采用非线性主成分分析法确定影响消费者情感偏好设计要素的权重值。结果表明:一级指标权重值从大到小依次为面料(0.274)、色彩(0.191)、背部结构(0.188)、肩带形式(0.184)、罩杯形式(0.163),说明面料是消费者购买运动文胸时考虑的主要因素。     

针对多种处理痕迹的数字语音取证算法

现有的数字语音取证研究主要集中于对单一的某种操作进行检测，无法对不相关的操作进行判断。针对该问题，提出了一种能够同时检测经过变调、低通滤波、高通滤波和加噪这四种操作的数字语音取证方法。首先，计算语音的归一化梅尔频率倒谱系数（MFCC）统计矩特征；然后通过多个二分类器对特征进行训练，并组合投票得到多分类器；最后使用该多分类器对待测语音进行分类。在TIMIT以及UME语音库上的实验结果表明，归一化MFCC统计矩特征在库内实验中均达到了97%以上的检测率，且在对MP3压缩鲁棒性测试的实验中，检测率仍能保持在96%以上。     

一种人工情绪模型及其电商计算实验应用

针对电子商务顾客购物人工系统的计算实验研究，提出一种基于状态类比假说的人工情绪模型，给出了情绪的产生、增强、衰落和消失过程的描述方法，研究了外部刺激、情感强度和内部驱动力的计算方法，并进行了模拟分析。基于此人工情绪模型，构建了电商顾客购物的情绪-行为影响关系模型；将其应用于电商顾客购物的计算实验分析。结果表明，该人工情绪模型能较好地应用于电商复杂人工系统顾客购物的计算实验。     

Multiemotional product color design using gray theory and nondominated sorting genetic algorithm-III

When users select products, they consider the emotional experience resulting from the color of the product. However, the emotional demands of users for product color are multidimensional and diverse. It is very important yet difficult to accurately grasp multiemotional image requirements and effectively convert them into design elements. Therefore, multiemotional product color design (MEPCD) has become a very important and challenging research topic. In this article, a novel MEPCD system using gray theory (GT) and nondominated sorting genetic algorithm-III (NSGA-III) is proposed to effectively solve the MEPCD problem. First, the image perception spaces of users, which exist in different emotional dimensions, were collected using factor analysis and the semantic differential technique. Then, GT was used to establish a multidimensional emotional product color image evaluation model. Finally, NSGA-III was used to optimize and design a multiemotional color scheme for a product. Furthermore, according to actual conditions, an MEPCD system was established based on the proposed method. The design case study shows that the method and design system proposed in this article have a certain range of applicability and can effectively improve the practicality of MEPCD.     

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning software will play an innovative interface for artificial intelligence (AI) services. Collaboration and novel approaches between both smart sensors and speech algorithms should be attempted to realize a hyperconnected society, which can offer personalized services such as biometric authentication, AI secretaries, and home appliances. Here, representative developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self-powered sensors, machine learning algorithms, and speaker recognition.     

服装设计理念在时装走秀中的情感表达

时装走秀可以更好地展现服装设计理念,提升设计师情感表达的灵活性、多样性,将作品包含的情感展现给受众。在进行情感表达的过程中,需要充分考虑不同情感表现的类型、特征,有针对性地进行设计,还需要充分了解设计要点、表达特征,深入理解设计师想要表达的情感。     

Combination of dynamic features with a new mask to optimize neural network speech enhancement

Concerning the problem that the Neural Network speech enhancement algorithm cannot fully represent the nonlinear structure of speech due to feature selection,which leads to speech distortion.This paper proposes the combination of dynamic features with a new mask to optimize neural network speech enhancement.First,three features of noisy speech are extracted and spliced to obtain static features.Then,the first and second difference derivatives are obtained to capture the instantaneous signals of speech and fuse them into dynamic features.The combination of dynamic and static features completes internal complementarity of features and reduced speech distortion.Second,in order to enhance the intelligibility and clarity of speech at the same time,an adaptive mask is proposed,which can adjust the energy ratio of speech and noise as well as the ratio of the traditional mask and the square root mask.The Gammatone channel weight is used to modify the mask value in each channel to simulate the human auditory system and further improve the speech intelligibility.Finally,the simulation of multiple voices under different noise backgrounds shows that compared with different literature algorithms,the algorithm has a higher SNR,subjective speech quality and short-term objective intelligibility,which verifies the effectiveness of the algorithm.     

乡村振兴战略下地方文创产品设计实践研究

目的 从设计学角度探索乡村振兴战略下的文创产品助农模式，深入挖掘、继承和创新优秀的传统乡土文化，将保护、传承和开发利用结合起来，为中华农耕文明赋予新的时代内涵，并应用于平谷区设计实践，助力乡村第一产业和第三产业的发展。方法 依托情感化设计理论，构建文创助农模型，依托北京互联农业果蔬产业创新创业孵化实训基地，借助“以花为媒，营销平谷”的东风，验证模型的可行性。结果 在文创助农模型的基础上，充分挖掘平谷区地方特色文化，结合中国古代哲学系统观“五行”思想，开发五行桃花运势皂，对产品、外观包装及购买交互方式等方面进行深入设计研究，探索了地方特色文创产品设计创新的思路、方法和路径，突出了情感价值提升地方特色文创产品设计的重要作用。结论 文创助农模型能够促进乡村地区农副产品资源的二次利用，提高乡村区域知名度，拉动当地经济增长。     

一种适用于井下通信的自适应滤波器研究

针对煤矿井下严重的环境噪声影响，文章论述了一种受话音频谱控制的自适应动态滤波器。它可以有效地减小井下环境噪声对话音信号的影响，达到改善通信质量，增加通信距离的效果。     

野间宏笔下的战后日本人--小说《脸上的红月亮》及《崩溃感觉》主人公评析

该文通过分析日本战后派作家野间宏的两部小说即《脸上的红月亮》和《崩溃感觉》中的主人公形象,揭示了上个世纪三四十年代日本发动的侵略战争给日本国民,尤其是给一部分有知识、有一定良知的日本国民造成的不可痊愈的心灵创伤。作家从对人性摧残的层面强烈控诉了战争的罪恶。