Hierarchical data representation of lung to model morphology and function

1996 ◽  
pp. 399-404 ◽  
Author(s):  
Andres Kriete
Keyword(s):  
Data Representation ◽  
Hierarchical Data ◽  
And Function ◽  
Hierarchical Data Representation

Information Transfer

2010 ◽  
pp. 247-261
Author(s):  
Manjunath Ramachandra
Keyword(s):  
Supply Chain ◽  
Packet Loss ◽  
Information Transfer ◽  
Data Representation ◽  
Multimedia Data ◽  
Data Streaming ◽  
Hierarchical Data ◽  
Hierarchical Data Representation

The transfer of live data over the supply chain is challenging. The problem is compounded if multimedia data is involved. The delay in the transmission, packet loss etc will be the cause for concern. In this chapter hierarchical data representation is introduced towards data streaming and better performance.

Information Storage

2010 ◽  
pp. 139-151
Author(s):  
Manjunath Ramachandra
Keyword(s):  
Data Warehouse ◽  
Information Transfer ◽  
Cost Effective ◽  
Data Representation ◽  
Information Storage ◽  
Hierarchical Data ◽  
Hierarchical Data Representation

The success of information transfer from the suppliers depends largely up on the organization of the data to cater for different categories of the users. It calls for quick, competitive and cost effective solutions. To meet the same, hierarchical data representation is introduced in this chapter. The example of Data warehouse is considered to explain the concept.

scholarly journals Depicting More Information in Enriched Squarified Treemaps with Layered Glyphs

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 123
Author(s):  
Anderson Gregório Marques Soares ◽  
Elvis Thermo Carvalho Miranda ◽  
Rodrigo Santos do Amor Divino Lima ◽  
Carlos Gustavo Resque dos Santos ◽  
Bianchi Serique Meiguins
Keyword(s):  
Information Visualization ◽  
Data Structures ◽  
User Study ◽  
Relevant Information ◽  
Data Representation ◽  
High Dimensional ◽  
Hierarchical Data ◽  
Visual Data ◽  
Visual Variable ◽  
Data Clusters

The Treemap is one of the most relevant information visualization (InfoVis) techniques to support the analysis of large hierarchical data structures or data clusters. Despite that, Treemap still presents some challenges for data representation, such as the few options for visual data mappings and the inability to represent zero and negative values. Additionally, visualizing high dimensional data requires many hierarchies, which can impair data visualization. Thus, this paper proposes to add layered glyphs to Treemap’s items to mitigate these issues. Layered glyphs are composed of N partially visible layers, and each layer maps one data dimension to a visual variable. Since the area of the upper layers is always smaller than the bottom ones, the layers can be stacked to compose a multidimensional glyph. To validate this proposal, we conducted a user study to compare three scenarios of visual data mappings for Treemaps: only Glyphs (G), Glyphs and Hierarchy (GH), and only Hierarchy (H). Thirty-six volunteers with a background in InfoVis techniques, organized into three groups of twelve (one group per scenario), performed 8 InfoVis tasks using only one of the proposed scenarios. The results point that scenario GH presented the best accuracy while having a task-solving time similar to scenario H, which suggests that representing more data in Treemaps with layered glyphs enriched the Treemap visualization capabilities without impairing the data readability.

scholarly journals Data-theoretical Synthesis of the Early Developmental Process

2018 ◽  
Author(s):  
Bradly Alicea ◽  
Richard Gordon ◽  
Thomas E. Portegys
Keyword(s):  
Life History ◽  
Large Scale ◽  
Developmental Process ◽  
Quantitative Information ◽  
Data Representation ◽  
Temporal Organization ◽  
Theory Building ◽  
Emergent Properties ◽  
Biological Development ◽  
And Function

AbstractBiological development is often described as a dynamic, emergent process. This is evident across a variety of phenomena, from the temporal organization of cell types in the embryo to compounding trends that affect large-scale differentiation. To better understand this, we propose combining quantitative investigations of biological development with theory-building techniques. This provides an alternative to the gene-centric view of development: namely, the view that developmental genes and their expression determine the complexity of the developmental phenotype. Using the model system Caenorhabditis elegans, we examine time-dependent properties of the embryonic phenotype and utilize the unique life-history properties to demonstrate how these emergent properties can be linked together by data analysis and theory-building. We also focus on embryogenetic differentiation processes, and how terminally-differentiated cells contribute to structure and function of the adult phenotype. Examining embryogenetic dynamics from 200 to 400 minutes post-fertilization provides basic quantitative information on developmental tempo and process. To summarize, theory construction techniques are summarized and proposed as a way to rigorously interpret our data. Our proposed approach to a formal data representation that can provide critical links across life-history, anatomy and function.

scholarly journals Using Medical History Embedded in Biometrics Medical Card for User Identity Authentication: Data Representation by AVT Hierarchical Data Tree

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Simon Fong ◽  
Yan Zhuang
Keyword(s):  
Medical History ◽  
User Authentication ◽  
Data Representation ◽  
Hierarchical Data ◽  
Mobile Database ◽  
Private Data ◽  
Database Privacy ◽  
Identity Cards ◽  
Novel Concept

User authentication has been widely used by biometric applications that work on unique bodily features, such as fingerprints, retina scan, and palm vessels recognition. This paper proposes a novel concept of biometric authentication by exploiting a user’s medical history. Although medical history may not be absolutely unique to every individual person, the chances of having two persons who share an exactly identical trail of medical and prognosis history are slim. Therefore, in addition to common biometric identification methods, medical history can be used as ingredients for generating Q&A challenges upon user authentication. This concept is motivated by a recent advancement on smart-card technology that future identity cards are able to carry patents’ medical history like a mobile database. Privacy, however, may be a concern when medical history is used for authentication. Therefore in this paper, a new method is proposed for abstracting the medical data by using attribute value taxonomies, into a hierarchical data tree (h-Data). Questions can be abstracted to various level of resolution (hence sensitivity of private data) for use in the authentication process. The method is described and a case study is given in this paper.

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