Purpose: Focusing on a comparative analysis of information visualization in library and information science(LIS) from the perspective of research subject and intellectual base, this paper aims to discover the differen...Purpose: Focusing on a comparative analysis of information visualization in library and information science(LIS) from the perspective of research subject and intellectual base, this paper aims to discover the difference and coherence between Chinese domestic studies on information visualization and those of other areas of the world so as to show their theoretical foundation and development trend in a more objective way.Design/methodology/approach: By using the social network analysis tool Ucinet, we have first constructed networks of key author collaboration for 651 articles retrieved from the Chinese Social Sciences Citation Index(CSSCI) and 910 from the Web of Science(WoS),which were published on information visualization between 1998 and 2012 in library and information science, then we compared the intellectual base by mapping analysis from perspective of half-life, centrality and burst detection with CiteSpace II.Findings: Up to date, 51 countries and regions have contributed to the research of information visualization, and in total, we found 9 research clusters of author co-occurrence matrices,among which three are in China. Within Chinese co-author networks, most Chinese scholars have come from the same research institutions, that is to say, more international cooperation and exchange are still required for the research of information visualization across different disciplines and regions.Research limitations: This co-author network and co-citation analysis is mainly based on the research field of LIS with a focus of the WoS and CSSCI databases only, further samples are required for more generalized results to increase our understanding on the development trend of information visualization.Practical implications: This study could lead to a better understanding of the applications of information visualization technologies in discovering the development trend of a research field. Originality/value: To the best of our knowledge, this is the first comparative analysis of research subject and intellectual base on information visualization, specifically, from the perspective of contributions of Chinese scholars in this regard. By dividing most frequently cited Chinese literature into two categories(original and non-original research papers), this paper shows the extent of contributions that Chinese domestic scholars have made to the research of information visualization, by revealing the contributions of different types of Chinese domestic papers on information visualization.展开更多
Most existing algorithms for the underdetermined blind source separation(UBSS) problem are two-stage algorithm, i.e., mixing parameters estimation and sources estimation. In the mixing parameters estimation, the previ...Most existing algorithms for the underdetermined blind source separation(UBSS) problem are two-stage algorithm, i.e., mixing parameters estimation and sources estimation. In the mixing parameters estimation, the previously proposed traditional clustering algorithms are sensitive to the initializations of the mixing parameters. To reduce the sensitiveness to the initialization, we propose a new algorithm for the UBSS problem based on anechoic speech mixtures by employing the visual information, i.e., the interaural time difference(ITD) and the interaural level difference(ILD), as the initializations of the mixing parameters. In our algorithm, the video signals are utilized to estimate the distances between microphones and sources, and then the estimations of the ITD and ILD can be obtained. With the sparsity assumption in the time-frequency domain, the Gaussian potential function algorithm is utilized to estimate the mixing parameters by using the ITDs and ILDs as the initializations of the mixing parameters. And the time-frequency masking is used to recover the sources by evaluating the various ITDs and ILDs. Experimental results demonstrate the competitive performance of the proposed algorithm compared with the baseline algorithms.展开更多
The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high ...The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high bandwidth in a parallel fashion, producing a picture worth more than a thousand words. Effective information visualization can be a powerful tool to capture people's attention and quickly communicate large amounts of data and complex information. This is particularly important in the context of communication data, which often describes entities (people, organizations) and their connections through communication. Visual analytics approaches can optimize the user-computer interaction to gain insights into communication networks and learn about their structures. Network visualization is a perfect instrument to better communicate the results of analysis. The precondition for effective information visualization and successful visual reasoning is the capability to draw "good" pictures. Even though communication networks are often large, including thousands or even millions of people, underlying visualization principles are identical to those used for visualizing smaller networks. In this article, you will learn about these principles, giving you the ability to assess the quality of network visualizations and to draw better network pictures by yourself.展开更多
The monographic collections in academic libraries have undergone a period of tremendous growth in volume, in subject diversity, and in formats during the recent several decades. Readers may find it difficult to priori...The monographic collections in academic libraries have undergone a period of tremendous growth in volume, in subject diversity, and in formats during the recent several decades. Readers may find it difficult to prioritize which book(s) should be borrowed for a specific purpose. The log data of book loan record may serve as a visible indicator for the more sought-after books by the readers. This paper describes our experimental efforts in exploring various visual techniques to analyze the borrowing patterns of the monographic works in a university library setting. The visual analysis is thought to provide an effective way to extract the book usage information, which may yield new insights into a host of other related technical as well as user behavior issues. Initial experiment has demonstrated that the proposed approach as articulated in this article can actually benefit end-users as well as library collection development personnel in their endeavor of book selections with effective measure.展开更多
In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts...In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts. To facilitate the decision-making in the health-care and the related areas, in this paper, a two-step content-based medical image retrieval algorithm is proposed. Firstly, in the preprocessing step, the image segmentation is performed to distinguish image objects, and on the basis of the ...展开更多
Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their...Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.展开更多
The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted...The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of scientific collaboration has evolved. A total of 1,455 articles on scientific cooperation published between 1993 and 2007 were retrieved from the SCI, SSCI and A&HCI databases with a topic search of scientific collaboration or scientific cooperation for the analysis. By using CiteSpace, the knowledge bases, research foci, and research fronts in the field of scientific collaboration were studied. The results indicated that research fronts and research foci are highly consistent in terms of the concept, origin, measurement, and theory of scientific collaboration. It also revealed that research fronts included scientific collaboration networks, international scientific collaboration, social network analysis and techniques, and applications of bibliometrical indicators, webmetrics, and health care related areas.展开更多
基金jointly supported by National Social Science Foundation of China (Grant No.:10&ZD134)Jiangsu College Graduate Research and Innovation Plan (Grant No.:CXLX13_065)
文摘Purpose: Focusing on a comparative analysis of information visualization in library and information science(LIS) from the perspective of research subject and intellectual base, this paper aims to discover the difference and coherence between Chinese domestic studies on information visualization and those of other areas of the world so as to show their theoretical foundation and development trend in a more objective way.Design/methodology/approach: By using the social network analysis tool Ucinet, we have first constructed networks of key author collaboration for 651 articles retrieved from the Chinese Social Sciences Citation Index(CSSCI) and 910 from the Web of Science(WoS),which were published on information visualization between 1998 and 2012 in library and information science, then we compared the intellectual base by mapping analysis from perspective of half-life, centrality and burst detection with CiteSpace II.Findings: Up to date, 51 countries and regions have contributed to the research of information visualization, and in total, we found 9 research clusters of author co-occurrence matrices,among which three are in China. Within Chinese co-author networks, most Chinese scholars have come from the same research institutions, that is to say, more international cooperation and exchange are still required for the research of information visualization across different disciplines and regions.Research limitations: This co-author network and co-citation analysis is mainly based on the research field of LIS with a focus of the WoS and CSSCI databases only, further samples are required for more generalized results to increase our understanding on the development trend of information visualization.Practical implications: This study could lead to a better understanding of the applications of information visualization technologies in discovering the development trend of a research field. Originality/value: To the best of our knowledge, this is the first comparative analysis of research subject and intellectual base on information visualization, specifically, from the perspective of contributions of Chinese scholars in this regard. By dividing most frequently cited Chinese literature into two categories(original and non-original research papers), this paper shows the extent of contributions that Chinese domestic scholars have made to the research of information visualization, by revealing the contributions of different types of Chinese domestic papers on information visualization.
基金supported by the National Natural Science Foundation of China(Grant Nos.61162014,61210306074)the Natural Science Foundation of Jiangxi Province of China(Grant No.20122BAB201025)the Foundation for Young Scientists of Jiangxi Province(Jinggang Star)(Grant No.20122BCB23002)
文摘Most existing algorithms for the underdetermined blind source separation(UBSS) problem are two-stage algorithm, i.e., mixing parameters estimation and sources estimation. In the mixing parameters estimation, the previously proposed traditional clustering algorithms are sensitive to the initializations of the mixing parameters. To reduce the sensitiveness to the initialization, we propose a new algorithm for the UBSS problem based on anechoic speech mixtures by employing the visual information, i.e., the interaural time difference(ITD) and the interaural level difference(ILD), as the initializations of the mixing parameters. In our algorithm, the video signals are utilized to estimate the distances between microphones and sources, and then the estimations of the ITD and ILD can be obtained. With the sparsity assumption in the time-frequency domain, the Gaussian potential function algorithm is utilized to estimate the mixing parameters by using the ITDs and ILDs as the initializations of the mixing parameters. And the time-frequency masking is used to recover the sources by evaluating the various ITDs and ILDs. Experimental results demonstrate the competitive performance of the proposed algorithm compared with the baseline algorithms.
文摘The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high bandwidth in a parallel fashion, producing a picture worth more than a thousand words. Effective information visualization can be a powerful tool to capture people's attention and quickly communicate large amounts of data and complex information. This is particularly important in the context of communication data, which often describes entities (people, organizations) and their connections through communication. Visual analytics approaches can optimize the user-computer interaction to gain insights into communication networks and learn about their structures. Network visualization is a perfect instrument to better communicate the results of analysis. The precondition for effective information visualization and successful visual reasoning is the capability to draw "good" pictures. Even though communication networks are often large, including thousands or even millions of people, underlying visualization principles are identical to those used for visualizing smaller networks. In this article, you will learn about these principles, giving you the ability to assess the quality of network visualizations and to draw better network pictures by yourself.
基金sponsored by the scientific research foundation of Ministry of Education of China for the returned overseas Chinese scholars(Grant No.[2007]1108)
文摘The monographic collections in academic libraries have undergone a period of tremendous growth in volume, in subject diversity, and in formats during the recent several decades. Readers may find it difficult to prioritize which book(s) should be borrowed for a specific purpose. The log data of book loan record may serve as a visible indicator for the more sought-after books by the readers. This paper describes our experimental efforts in exploring various visual techniques to analyze the borrowing patterns of the monographic works in a university library setting. The visual analysis is thought to provide an effective way to extract the book usage information, which may yield new insights into a host of other related technical as well as user behavior issues. Initial experiment has demonstrated that the proposed approach as articulated in this article can actually benefit end-users as well as library collection development personnel in their endeavor of book selections with effective measure.
文摘In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts. To facilitate the decision-making in the health-care and the related areas, in this paper, a two-step content-based medical image retrieval algorithm is proposed. Firstly, in the preprocessing step, the image segmentation is performed to distinguish image objects, and on the basis of the ...
基金the National Natural Science Foundation of China Grant 71673131 for financial support
文摘Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.
基金supported by the National Natural Science Foundation of China(Grant Nos.70773015,70431001 and 70620140115)the National Social Sciences Foundation(Grant No.07CTQ008)the Project of DUT(Grant No.DUTHS1002)
文摘The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of scientific collaboration has evolved. A total of 1,455 articles on scientific cooperation published between 1993 and 2007 were retrieved from the SCI, SSCI and A&HCI databases with a topic search of scientific collaboration or scientific cooperation for the analysis. By using CiteSpace, the knowledge bases, research foci, and research fronts in the field of scientific collaboration were studied. The results indicated that research fronts and research foci are highly consistent in terms of the concept, origin, measurement, and theory of scientific collaboration. It also revealed that research fronts included scientific collaboration networks, international scientific collaboration, social network analysis and techniques, and applications of bibliometrical indicators, webmetrics, and health care related areas.
