Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 17

Year

2023 1

2022 1

2021 1

2020 2

2019 2

2018 1

2017 3

2015 2

2013 1

2008 1

2001 1

2000 1

open ︾

Keywords

AP1000 1

Academic literature retrieval 1

App reviews 1

Average path length 1

Class frequency 1

Coherence 1

Cohort-based retrieval 1

Collaborative filtering (CF) 1

Consensus 1

Dependency-LDA 1

Distance 1

Emerging topic identification 1

Evaluation method 1

Hierarchical topic modeling 1

Labeled latent Dirichlet allocation (L-LDA) 1

Latent Dirichlet allocation (LDA) 1

Matrix factorization (MF) 1

Metagraph factorization 1

Moving average 1

open ︾

Search scope:

排序： Display mode:

Paper evolution graph: multi-view structural retrieval for academic literature None

Dan-ping LIAO, Yun-tao QIAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 187-205 doi: 10.1631/FITEE.1700105

Abstract: First, the papers are soft-clustered into communities via metagraph factorization, during which the topic

Keywords： Paper evolution graph Academic literature retrieval Metagraph factorization Topic coherence

HTML PDF Collect

Special Topic on environment and sustainable development

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3, Pages 291-292 doi: 10.1007/s11705-017-1667-6

HTML PDF Collect

Topic discovery and evolution in scientific literature based on content and citations Article

Hou-kui ZHOU, Hui-min YU, Roland HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1511-1524 doi: 10.1631/FITEE.1601125

Abstract: In this paper, we propose a citation- content-latent Dirichlet allocation (LDA) topic discovery methodThe citation-content-LDA topic model exploits a two-level topic model that includes the citation informationWe also propose a topic evolution algorithm that runs in two steps: topic segmentation and topic dependencyWe have tested the proposed citation-content-LDA model and topic evolution algorithm on two online datasetsSociety (CS), to demonstrate that our algorithm effectively discovers important topics and reflects the topic

Keywords： Topic extraction Topic evolution Evaluation method

HTML PDF Collect

Emerging topic identification from app reviews via adaptive online biterm topic modeling Research Article

Wan ZHOU, Yong WANG, Cuiyun GAO, Fei YANG,yongwang@ahpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5, Pages 678-691 doi: 10.1631/FITEE.2100465

Abstract: Emerging topics in highlight the topics (e.g., software bugs) with which users are concerned during certain periods. Identifying emerging topics accurately, and in a timely manner, could help developers more effectively update apps. Methods for identifying emerging topics in based on s or clustering methods have been proposed in the literature. However, the accuracy of is reduced because reviews are short in length and offer limited information. To solve this problem, an improved (IETI) approach is proposed in this work. Specifically, we adopt techniques to reduce noisy data, and identify emerging topics in using the adaptive online biterm . Then we interpret the implicature of emerging topics through relevant phrases and sentences. We adopt the official app changelogs as ground truth, and evaluate IETI in six common apps. The experimental results indicate that IETI is more accurate than the baseline in identifying emerging topics, with improvements in the F1 score of 0.126 for phrase labels and 0.061 for sentence labels. Finally, we release the codes of IETI on Github (https://github.com/wanizhou/IETI).

Keywords： App reviews Emerging topic identification Topic model Natural language processing

HTML PDF Collect

Impact of distance between two hubs on the network coherence of tree networks

李达权,孙伟刚,胡鸿翔

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1349-1356 doi: 10.1631/FITEE.2200400

Abstract: We study the impact of the distance between two hubs on network coherence defined by Laplacian eigenvaluesNetwork coherence is a measure of the extent of consensus in a linear system with additive noise.To obtain an exact determination of coherence based on the distance, we choose a family of tree networksWith the same network size and distance, the best coherence occurs in the tree with the largest differenceFinally, we establish a correlation between network coherence and average path length and find that they

Keywords： Consensus Coherence Distance Average path length

HTML Collect

Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1, Pages 1-31 doi: 10.1007/s11465-020-0602-6

Abstract: Theoretical background and recent advances of fringe analysis algorithms, including coherence peak sensing

Keywords： surface topography measurement optical interferometry coherence envelope phase-shifting algorithm

HTML PDF Collect

Personalized topic modeling for recommending user-generated content Article

Wei ZHANG, Jia-yu ZHUANG, Xi YONG, Jian-kou LI, Wei CHEN, Zhe-min LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 708-718 doi: 10.1631/FITEE.1500402

Abstract: A generative model that combines hierarchical topic modeling and matrix factorization is proposed.results show that our model outperforms other state-of-the-art models, and can provide interpretable topic

Keywords： User-generated content (UGC) Collaborative filtering (CF) Matrix factorization (MF) Hierarchical topic

HTML PDF Collect

A Micromotor Catheter for Intravascular Optical Coherence Tomography

Tianshi Wang, Gijs van Soest, Antonius F. W. van der Steen

Engineering 2015, Volume 1, Issue 1, Pages 15-17 doi: 10.15302/J-ENG-2015018

Abstract:

We have developed a new form of intravascular optical coherence tomography (IV-OCT) that allows the

HTML PDF Collect

Green Heating System——Topic of Critical Importance

Song Zhi-ping

Strategic Study of CAE 2001, Volume 3, Issue 6, Pages 9-14

Abstract:

Nowadays a topic of most concern is how to protect the global climate change and meet the increasing

Keywords： sustainable development water resource combined heat and power heat pump poly generation

HTML PDF Collect

Supervised topic models with weighted words: multi-label document classification None

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

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 513-523 doi: 10.1631/FITEE.1601668

Abstract: Supervised topic modeling algorithms have been successfully applied to multi-label document classificationExperimental results demonstrate that CF-weight based algorithms are competitive with the existing supervised topic

Keywords： Supervised topic model Multi-label classification Class frequency Labeled latent Dirichlet allocation

HTML PDF Collect

Topicmodeling for large-scale text data

Xi-ming LI,Ji-hong OUYANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 457-465 doi: 10.1631/FITEE.1400352

Abstract: This paper develops a novel online algorithm, namely moving average stochastic variational inference (MASVI), which applies the results obtained by previous iterations to smooth out noisy natural gradients. We analyze the convergence property of the proposed algorithm and conduct a set of experiments on two large-scale collections that contain millions of documents. Experimental results indicate that in contrast to algorithms named ‘stochastic variational inference’ and ‘SGRLD’, our algorithm achieves a faster convergence rate and better performance.

Keywords： Latent Dirichlet allocation (LDA) Topic modeling Online learning Moving average

HTML PDF Collect

Seismic input of NPP & topic of seismic-isolated research for AP1000 nuclear island

Xia Zufeng

Strategic Study of CAE 2013, Volume 15, Issue 4, Pages 52-56

Abstract:

The article introduces seismic input of nuclear power plant in the world briefly, and mentions some exploratory work for seismic-isolated foundation of nuclear island in France, Japan and China. The article mainly focuses on a general concept design of nuclear island seismic-isolated foundation for AP1000 units by our institute. There are more useful information for seismic input of nuclear power plant & seismic-isolated foundation of nuclear island as a reference.

Keywords： nuclear power plant seismic design AP1000 seismic-isolated foundation

HTML PDF Collect

Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: We build an individual’s interest profile by learning his/her topic preferences through topic modelsAs conventional topic models are unable to automatically learn cohorts, we propose two cohort topic modelsthat handle topic modeling and cohort discovery in the same framework.

Keywords： Query auto-completion Cohort-based retrieval Topic models

HTML PDF Collect

A Promising Topic in the Development of Electrical Engineering in the 21st Century ——Superconducting

Tang Yuejin,Li Jingdong,Duan Xianzhong,Cheng Shijie,Pan Yuan

Strategic Study of CAE 2000, Volume 2, Issue 4, Pages 1-7

Abstract:

In the new century, people will extensively concern themselves with environment protection and natural resource saving. Their life style will be changed rapidly. Information system will become the most important part of our society. All of these will put forward the following challenging requirements to the electric power system for high economic characteristics, high reliability, high quality, high quantity and high density of power supply. As the conventional technology used in current power system is difficult to meet these requirements, breakthroughs of revolution in electrical technology is in urgent need. Superconducting technology is one of those breakthroughs. It is commonly recognized that superconducting technology will be widely used in the electric power system in the 21st century. This paper systematically analyzes the problems facing the electrical power industry in the 21st century and the potential of using superconducting technology in the future power system. The current states of applying superconducting technology to the electric power system are also overviewed.

Keywords： applied superconductivity electric power system environment and resources

HTML PDF Collect

Coherence analysis and Laplacian energy of recursive trees with controlled initial states Research Articles

Mei-du Hong, Wei-gang Sun, Su-yu Liu, Teng-fei Xuan,wgsun@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.1900133

Abstract: We study the of a family of recursive trees with novel features that include the initial states controlled by a parameter. The problem in a linear system with additive noises is characterized as , which is defined by a Laplacian spectrum. Based on the structures of our recursive treelike model, we obtain the recursive relationships for Laplacian eigenvalues in two successive steps and further derive the exact solutions of first- and second-order coherences, which are calculated by the sum and square sum of the reciprocal of all nonzero Laplacian eigenvalues. For a large network size , the scalings of the first- and second-order coherences are ln and $, respectively. The smaller the number of initial nodes, the better the bears. Finally, we numerically investigate the relationship between and , showing that the first- and second-order coherences increase with the increase of at approximately exponential and linear rates, respectively.

Keywords：一致性；网络一致性；拉普拉斯能量

HTML PDF Collect

Title Author Date Type Operation

Paper evolution graph: multi-view structural retrieval for academic literature

Dan-ping LIAO, Yun-tao QIAN

Journal Article

Special Topic on environment and sustainable development

Journal Article

Topic discovery and evolution in scientific literature based on content and citations

Hou-kui ZHOU, Hui-min YU, Roland HU

Journal Article

Emerging topic identification from app reviews via adaptive online biterm topic modeling