Search | Engineering

订阅投稿

首页工程期刊工程焦点工程成就工程前沿关于我们 English

资源类型

期刊论文 6

年份

2022 1

2018 2

2015 1

2009 1

关键词

双目内窥镜；三维测量；深度学习；视差预测 1

情感分类；跨领域；关联规则 1

有监督主题模型；多标签分类；类别频率；有监督隐含狄利克雷分配模型；判别隐含狄利克雷分配模型 1

检索范围：

排序：展示方式：

Review of research and development of computer-aided Kansei Engineering

Li LIN, Chengqi XUE

《机械工程前沿（英文）》 2009年第4卷第2期页码 125-128 doi: 10.1007/s11465-009-0023-z

摘要： Kansei Engineering is an important research approach and has become the hotspot of research in design fields. The concept of Kansei Engineering is introduced based on the investigation of related literatures. The working process and the key technology of computer-aided Kansei Engineering systems are discussed. Finally, the development trend of Kansei Engineering is outlined according to the development of computer and networking technology.

关键词： Kansei words design elements system database

HTML PDF 收藏

Review of sentiment analysis: An emotional product development view

《工程管理前沿（英文）》页码 592-609 doi: 10.1007/s42524-022-0227-z

摘要： Conveying consumers’ specific emotions in new products, referred to as emotional product development or emotional design, is strategically crucial for manufacturers. Given that sentiment analysis (SA) can extract and analyze people’s opinions, sentiments, attitudes, and perceptions regarding different products/services, SA-based emotional design may provide manufacturers with real-time, direct, and rapid decision support. Despite its considerable advancements and numerous survey and review articles, SA is seldom considered in emotional design. This study is among the first efforts to conduct a thorough review of SA from the view of emotional design. The comprehensive review of aspect-level SA reveals the following: 1) All studies focus on extracting product features by mixing technical product features and consumers’ emotional perceptions. Consequently, such studies cannot capture the relationships between technical and emotional attributes and thus cannot convey specific emotions to the new products. 2) Most studies use the English language in SA, but other languages have recently received more interest in SA. Furthermore, after conceptualizing emotion as Kansei and introducing emotional product development and Kansei Engineering, a review of the data-driven emotional design is then conducted. A few efforts start to study emotional design with the help of SA. However, these studies only focus on either analyzing consumers’ preferences on product features or extracting emotional opinions from online reviews, thus cannot realize data-driven emotional product development. Finally, some research opportunities are provided. This study opens a broad door to aspect-level SA and its integration with emotional product development.

关键词： sentiment analysis emotion product development Kansei Engineering

HTML PDF 收藏

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

《信息与电子工程前沿（英文）》 2015年第16卷第10期页码 817-828 doi: 10.1631/FITEE.1500070

摘要： We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis (pLSA) based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ‘final’ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.

关键词： Scene category recognition Probabilistic latent semantic analysis Bag-of-words Adaptive boosting

HTML PDF 收藏

基于关联规则进行词对齐的跨领域情感分类算法 None

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

《信息与电子工程前沿（英文）》 2018年第19卷第2期页码 260-272 doi: 10.1631/FITEE.1601679

摘要：文本情感分类被应用于企业用户管理系统，通过自动对诸如评论、博客等带有情感倾向性文字进行分析，帮助商家更好地了解用户对商品或者服务的态度。然而，评论和博客等内容常源于不同应用领域，为每个领域训练一个能准确预测情感倾向的分类器非常困难。主要原因是，在不同领域，人们通常会用不同特征词表达相同情感，并且难以找到一个直接的映射函数，以建立不同领域特征词间的映射关系，从而消除领域间差异。因此，将某个领域训练好的分类器直接应用到另一个领域时，会因为领域间差异使得分类器准确率急速下降。本文提出一个新的基于关联规则进行特征词对齐的跨领域情感分类算法，该算法通过在同一领域中挖掘具有强关联关系的领域共享词和领域专有词词对，建立直接映射关系，并以领域共享词为桥梁，在不同领域的特征专有词之间建立间接映射关系，从而在一定程度上消除了源领域和目标领域之间的差异，有效提升了跨领域情感分类准确率。在亚马逊数据库上的实验结果证明该算法提高了跨领域情感分类性能。

关键词：情感分类；跨领域；关联规则

HTML PDF 收藏

基于深度学习的双目内窥镜三维测量方法 Research Article

余浩1,周长江2,张伟1,王立强1,2,杨青1,2,袁波1

《信息与电子工程前沿（英文）》 2022年第23卷第4期页码 653-660 doi: 10.1631/FITEE.2000679

摘要：在内窥镜临床检查中，病灶尺寸精确估计对诊断具有非常重要的意义。本文提出一种基于深度学习的双目内窥镜三维测量方法，可以克服传统双目匹配算法在弱纹理区域鲁棒性较差的缺点。利用三维扫描仪获得的目标三维数据和三维渲染软件仿真的双目相机创建虚拟双目图像数据集，用于训练视差预测模型进行三维测量。实验结果表明，所提方法相比传统双目匹配算法在视差准确度和视差图生成速度上分别提高48.9%和90.5%，能够提供更加准确、可靠的病灶尺寸信息，提高内窥镜诊断效率。

关键词：双目内窥镜；三维测量；深度学习；视差预测

HTML PDF 收藏

词加权有监督主题模型：多标签文本分类 None

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

《信息与电子工程前沿（英文）》 2018年第19卷第4期页码 513-523 doi: 10.1631/FITEE.1601668

摘要：有监督主题模型已成功应用于多标签文本分类任务。代表性模型包括有监督隐含狄利克雷分配模型（labeled latent Dirichlet allocation，L-LDA）和判别隐含狄利克雷分配模型（dependency-LDA）。这些已有模型忽略单词类别频率信息，即训练集中单词出现的类别数量，对分类任务的影响。对此引入类别频率信息，提出一个类别频率词权重方法（class frequency weight, CF-weight）。CF-weight方法基于如下假设：具有较高（或较低）类别频率的单词在分类问题中具有较低（或较高）判别力。将CF-weight方法应用于L-LDA和dependency-LDA模型。实验结果表明，相比传统有监督主题模型，基于CF-weight的模型在多标签分类性能上具有优势。

关键词：有监督主题模型；多标签分类；类别频率；有监督隐含狄利克雷分配模型；判别隐含狄利克雷分配模型

HTML PDF 收藏

标题作者时间类型操作

Review of research and development of computer-aided Kansei Engineering

Li LIN, Chengqi XUE

期刊论文

Review of sentiment analysis: An emotional product development view

期刊论文

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

期刊论文

基于关联规则进行词对齐的跨领域情感分类算法