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基于异类数据和语义建构的新兴技术弱信号识别研究

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情报学报 2024年第3期43卷 302-312页

作者：韩盟陈悦王玉奇王康崔林蔚大连理工大学科学学与科技管理研究所暨wise实验室大连116033

当前商业竞争不断加剧,创新和产品的迭代周期不断加快,识别未来新兴技术的早期弱信号,具有重要的战略意义。本文提出了一种基于异类数据和语义建构的新兴技术弱信号识别新方法。首先,以文献数据作为新兴技术弱信号识别的分析对象,探索... 详细信息

当前商业竞争不断加剧,创新和产品的迭代周期不断加快,识别未来新兴技术的早期弱信号,具有重要的战略意义。本文提出了一种基于异类数据和语义建构的新兴技术弱信号识别新方法。首先,以文献数据作为新兴技术弱信号识别的分析对象,探索使用文档离群性和文本相异性指标筛选异类数据,并构建合适的量化评估方法;其次,通过改进TF-IDF(term frequency-inverse document frequency)算法和组合图法,抽取弱信号关键词表征术语;最后,基于意义建构理论抽取术语上下文语境,挖掘并解析弱信号含义,以实现新兴技术弱信号识别。本文以量子信息领域作为实证研究对象,识别出当前量子信息领域新兴技术弱信号包括量子点吸附、量子保密协议、量子点医学和量子博弈等。研究结论证实了本文方法的有效性,可为决策者和技术研发人员提供决策支持。

关键词：弱信号识别新兴技术异类数据语义建构量子信息技术

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data

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Machine Intelligence Research 2024年第2期21卷 318-330页

作者： Yu-Cheng Chou Bowen Li Deng-Ping Fan Alan Yuille Zongwei Zhou Department of Computer Science Johns Hopkins UniversityBaltimore 21218USA Computer Vision lab ETH ZurichZurich 8001Switzerland

Creating large-scale and well-annotated datasets to train AI algorithms is crucial for automated tumor detection and localization.However,with limited resources,it is challenging to determine the best type of annotations when annotating massive amounts of unlabeled data.To address this issue,we focus on polyps in colonoscopy videos and pancreatic tumors in abdominal CT scans;Both applications require significant effort and time for pixel-wise annotation due to the high dimensional nature of the data,involving either temporary or spatial dimensions.In this paper,we develop a new annotation strategy,termed Drag&Drop,which simplifies the annotation process to drag and drop.This annotation strategy is more efficient,particularly for temporal and volumetric imaging,than other types of weak annotations,such as per-pixel,bounding boxes,scribbles,ellipses and points.Furthermore,to exploit our Drag&Drop annotations,we develop a novel weakly supervised learning method based on the watershed algorithm.Experimental results show that our method achieves better detection and localization performance than alternative weak annotations and,more importantly,achieves similar performance to that trained on detailed per-pixel annotations.Interestingly,we find that,with limited resources,allocating weak annotations from a diverse patient population can foster models more robust to unseen images than allocating per-pixel annotations for a small set of images.In summary,this research proposes an efficient annotation strategy for tumor detection and localization that is less accurate than per-pixel annotations but useful for creating large-scale datasets for screening tumors in various medical modalities.

关键词： Weak annotation detection localization segmentation colonoscopy abdomen

A Novel Metric for Assessing National Strength in Scientific Research:Understanding China’s Research Output in Quantum Technology through Collaboration

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Journal of Data and Information Science 2022年第4期7卷 39-60页

作者： Yuqi Wang Yue Chen Zhiqi Wang Kang Wang Kai Song wise lab Institute of Science of Science and S&T managementDalian University of TechnologyDalian 116024China

Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China’s development.Based on this background,this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.Design/methodology/approach:We propose a novel metric model for assessing national scientific research strength,which sets two indicators,national scientific self-reliance(SR)and national academic contribution(CT),to reflect“self-reliance”and“self-strengthening”respectively.Taking the research papers in quantum technology as an example,this study analyzes the scientific research strength of various countries around the world,especially China in quantum technology.Findings:The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks.China’s academic contribution(CT)to global quantum technology research is increasing and has been greater than that of the United States in 2020.Combining the two indicators,CT and SR,China’s research strength in the quantum field closely follows the United States,and the United States is the most powerful with high research autonomy.Research limitations:This paper only reflects China’s scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects,which need further study.Practical implications:The model is helpful to better understand the national scientific research strength in a certain field from“self-reliance”and“self-strengthening”.ScienceOriginality/value:We propose a novel metric model to measure the national scientific research strength from the perspective of“self-reliance”and“self-strengthenin

关键词： National Scientific Research Strength Academic Contribution National Scientific Self-reliance Index Quantum Technology Research

IEEE Transactions on Engineering Management的发展历程及研究热点

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图书情报工作 2011年第22期55卷 138-143页

作者：陈悦李瑛大连理工大学21世纪发展研究中心暨wise实验室大连116085

利用知识计量学与知识图谱的方法技术,以SSCI数据库的论文为基础,对美国创新管理期刊IEEE Trans-actions on Engineering Management发展历程及其研究热点进行计量研究。通过对该期刊三个时间段知识群文献的分析,可看出该刊从侧重于技... 详细信息

利用知识计量学与知识图谱的方法技术,以SSCI数据库的论文为基础,对美国创新管理期刊IEEE Trans-actions on Engineering Management发展历程及其研究热点进行计量研究。通过对该期刊三个时间段知识群文献的分析,可看出该刊从侧重于技术管理的定量工具方法,到侧重于产品开发、项目管理与技术转移,再到侧重于组织、战略及政策管理的大致发展脉络。其当前创新管理研究热点,主要围绕"绩效"、"创新"、"管理"、"产品开发"、"系统"和"战略"展开。

关键词：创新管理知识图谱工程管理

市场竞争属性映射下的企业技术机会识别框架构建

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情报理论与实践 2024年第7期47卷 115-125,159页

作者：高道斌陈悦韩盟李志杰大连理工大学科学学与科技管理研究所暨wise实验室辽宁大连116024 山东理工大学信息管理学院山东淄博255049

[目的/意义]将企业技术机会识别置于市场竞争属性映射下,有助于企业选择更易把握的技术机会,降低技术创新风险。[方法/过程]文章构建了一种以专利数据驱动,市场竞争属性映射下的企业技术机会识别框架。首先,基于“C-M-T”竞争对手分析框... 详细信息

[目的/意义]将企业技术机会识别置于市场竞争属性映射下,有助于企业选择更易把握的技术机会,降低技术创新风险。[方法/过程]文章构建了一种以专利数据驱动,市场竞争属性映射下的企业技术机会识别框架。首先,基于“C-M-T”竞争对手分析框架,创建纳入市场垄断性、市场占有率、市场关注度的三维识别模型;其次,引入基于专利组合分析方法的专利强度指标,分析不同类型技术机会市场竞争强度;最后,以区块链技术为实证领域,识别出技术机会22项,包含5种类型,并将其分别推荐给不同类型企业。[结果/结论]综合分析过程表明,识别结果具备丰富的市场竞争信息,兼顾反映技术机遇与风险,能够较好满足企业的技术机会选择诉求。

关键词：市场竞争企业技术机会识别专利数据企业技术创新区块链

Detecting Dynamics of Hot Topics with Alluvial Diagrams:A Timeline Visualization

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Journal of Data and Information Science 2017年第3期2卷 37-48页

作者： Wenjing Ruan Haiyan Hou Zhigang Hu wise lab Dalian University of Technology

Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings： After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers＇ interests. subdivided and re-merged. For example, several topics as research progressed. Research topics in scientometrics were constantly a cluster involving ＂industry＂ was divided into Research limitations： When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications： This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value： The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.

关键词： Dynamics Alluvial diagram Hot topics Timeline approach

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基于应用场景的未来技术识别

情报杂志 2024年第5期43卷 97-105页

作者：谢俊杰孙希科王智琦韩盟陈悦大连理工大学科学学与科技管理研究所暨wise实验室大连116024 潍柴动力股份有限公司潍坊261061 大连理工大学人文学院大连116024

[研究目的]未来技术作为传统产业的转型动力及未来产业的形成基础,从技术的应用及其产业化视角出发,进行未来技术的识别与预测,对我国布局未来产业、增强发展优势具有重要意义。[研究方法]从技术单元与技术方案出发,构建基于应用场景的... 详细信息

[研究目的]未来技术作为传统产业的转型动力及未来产业的形成基础,从技术的应用及其产业化视角出发,进行未来技术的识别与预测,对我国布局未来产业、增强发展优势具有重要意义。[研究方法]从技术单元与技术方案出发,构建基于应用场景的未来技术识别模型。首先,利用LDA主题模型对专利的用途进行主题聚类,识别技术的主要应用场景;其次,利用KeyBERT算法从专利的标题和新颖性文本中提取技术方案关键词,从技术方案的新颖性、关联性和重要性出发,筛选前沿技术方案;最后,定义产生前沿技术方案的技术单元为潜在未来技术,构建“技术影响力-技术生长力”坐标图,进行未来技术识别。[研究结论]以固体氧化物燃料电池领域为例进行实证研究,识别出13项未来技术,主要为SOFC批量化制造、可控性运行和实际化应用的技术,揭示了识别方法的有效性。

关键词：应用场景未来技术技术识别技术方案专利文本固体氧化物燃料电池 KeyBERT算法 LDA

Composite Quantile Estimation for Kink Model with Longitudinal Data

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Acta Mathematica Sinica,English Series 2023年第3期39卷 412-438页

作者： Chuang WAN Wei ZHONG Ying FANG School of Statistics and Data Science Nankai UniversityTianjin 300071P.R.China MOE Key lab of Econometrics WISEDepartment of Statistics and Data ScienceSchool of EconomicsXiamen UniversityXiamen 361000P.R.China

Kink model is developed to analyze the data where the regression function is two-stage piecewise linear with respect to the threshold covariate but continuous at an unknown kink point.In quantile regression for longitudinal data,kink point where the kink effect happens is often assumed to be heterogeneous across different quantiles.However,the kink point tends to be the same across different quantiles,especially in a region of neighboring quantile levels.Incorporating such homogeneity information could increase the estimation efficiency of the common kink point.In this paper,we propose a composite quantile estimation approach for the common kink point by combining information from multiple neighboring quantiles.Asymptotic normality of the proposed estimator is studied.In addition,we also develop a sup-likelihood-ratio test to check the existence of the kink effect at a given quantile level.A test-inversion confidence interval for the common kink point is also developed based on the quantile rank score test.The simulation studies show that the proposed composite kink estimator is more efficient than the single quantile regression estimator.We also illustrate the proposed method via an application to a longitudinal data set on blood pressure and body mass index.

关键词： Asymptotical normality composite quantile estimation estimation efficiency kink design model longitudinal data

Usage Count： A New Indicator to Detect Research Fronts

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Journal of Data and Information Science 2017年第1期2卷 89-104页

作者： Guoqiang Liang Haiyan Hou Zhigang Hu Fu Huang Yajie Wang Shanshan Zhang wise lab Dalian University of Technology Dalian 116023 China

Purpose： Research fronts build on recent work, but using times cited as a traditional indicator to detect research fronts will inevitably result in a certain time lag. This study attempts to explore the effects of usage count as a new indicator to detect research fronts in shortening the time lag of classic indicators in research fronts detection. Design/methodology/approach： An exploratory study was conducted where the new indicator ＂usage count＂ was compared to the traditional citation count, ＂times cited,＂ in detecting research fronts of the regenerative medicine domain. An initial topic search of the term ＂regenerative medicine＂ returned 10,553 records published between 2000 and 2015 in the Web of Science （WoS）. We first ranked these records with usage count and times cited, respectively, and selected the top 2,000 records for each. We then performed a co-citation analysis in order to obtain the citing papers of the co-citation clusters as the research fronts. Finally, we compared the average publication year of the citing papers as well as the mean cited year of the co-citation clusters. Findings： The citing articles detected by usage count tend to be published more recently compared with times cited within the same research front. Moreover, research fronts detected by usage count tend to be within the last two years, which presents a higher immediacy and real-time feature compared to times cited. There is approximately a three-year time span among the mean cited years （known as ＂intellectual base＂） of all clusters generated by usage count and this figure is about four years in the network of times cited. In comparison to times cited, usage count is a dynamic and instant indicator. Research limitations： We are trying to find the cutting-edge research fronts, but those generated based on co-citations may refer to the hot research fronts. The usage count of older highly cited papers was not taken into consideration, because the usage count indicator released by WoS only reflects usage logs after February 2013.

关键词： Research front Citation analysis Usage count Times cited