The Experts below are selected from a list of 135 Experts worldwide ranked by ideXlab platform
Naoto Fukada - One of the best experts on this subject based on the ideXlab platform.
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technique for searching Tabular Form documents using metadata harvested by table structure analysis
Artificial Intelligence Review, 2014Co-Authors: Isaac Okada, Minoru Saito, Yoshiaki Oida, Hiroyuki Yamato, Kazuo Hiekata, Satoru Nakamura, Naoto FukadaAbstract:Conducting full-text searches on collections of Tabular files, in which a single sheet corresponds to a single document and eachfile consists of multiple sheets, typically involves retrieving many candidate files that include the search terms. Opening eachof these Tabular files to determine whether it is the desired sheet is labor-intensive. Searching with high precision thus requiresexpert intuition born of operational experience. Therefore, it would be advantageous to enable the pinpointing of desireddocuments with greater accuracy regardless of the operator’s level of experience.In the present study, we propose a method in which operational classifications are assigned as metadata on the basis of thetable structure of a sheet. We obtain the table structure of the sheet and assign metadata based on a set of rules establishedindividually for each pattern in the structure. We propose two methods for representing the table structures obtained: a methodusing node property matrix, and a method in which positional data regarding cells containing specific operation-description dataare indexed. Comparing the results of searches that use assigned metadata to the results of traditional full-text searches revealsthat our method has greater search accuracy.
Shinji Tsuruoka - One of the best experts on this subject based on the ideXlab platform.
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document recognition and xml generation of Tabular Form discharge summaries for analogous case search system
Methods of Information in Medicine, 2007Co-Authors: Hiroharu Kawanaka, T Sumida, K Yamamoto, T Shinogi, Shinji TsuruokaAbstract:Objectives: This paper discusses and develops a document image recognition, keyword extraction and automatic XML generation system to search analogous cases from paper-based documents. In this paper, we propose the document structure recognition method and automatic XML generation method for the Tabular Form discharge summary documents. This paper also develops the prototype system using the proposed method. Evaluation experiments using actual documents are done to discuss the effectiveness of the developed system. Methods: The developed system consists of the following methods. Paper-based summary documents are scanned by a scanner using 300 dpi first. Noise and tilt of the image are reduced by pre-processing, and the table structures are identified. Characters in the table are recognized and converted to text data by the OCR engine. XML documents are automatically generated using obtained results. Results: In this paper, patient discharge summary documents archived at Mie University Hospital were used. The results show that XML documents can be automatically generated when standard Tabular Form documents are input into the developed system. In this experiment, it takes about 20 seconds to generate an XML document using the general personal computer. This paper also compares the developed system with a commercial product to discuss the effectiveness of the present system. Experimental results also show that the accuracy of table structure recognition is high and it can be used in a practical situation. Conclusions: This paper showed the effectiveness of the proposed method to recognize the Tabular Form document images to generate XML documents.
Isaac Okada - One of the best experts on this subject based on the ideXlab platform.
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technique for searching Tabular Form documents using metadata harvested by table structure analysis
Artificial Intelligence Review, 2014Co-Authors: Isaac Okada, Minoru Saito, Yoshiaki Oida, Hiroyuki Yamato, Kazuo Hiekata, Satoru Nakamura, Naoto FukadaAbstract:Conducting full-text searches on collections of Tabular files, in which a single sheet corresponds to a single document and eachfile consists of multiple sheets, typically involves retrieving many candidate files that include the search terms. Opening eachof these Tabular files to determine whether it is the desired sheet is labor-intensive. Searching with high precision thus requiresexpert intuition born of operational experience. Therefore, it would be advantageous to enable the pinpointing of desireddocuments with greater accuracy regardless of the operator’s level of experience.In the present study, we propose a method in which operational classifications are assigned as metadata on the basis of thetable structure of a sheet. We obtain the table structure of the sheet and assign metadata based on a set of rules establishedindividually for each pattern in the structure. We propose two methods for representing the table structures obtained: a methodusing node property matrix, and a method in which positional data regarding cells containing specific operation-description dataare indexed. Comparing the results of searches that use assigned metadata to the results of traditional full-text searches revealsthat our method has greater search accuracy.
Takeo Yaku - One of the best experts on this subject based on the ideXlab platform.
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An Attribute Labeled Grid Graph Grammar and Its Application to Program Specification Forms
Studies in Computational Intelligence, 2020Co-Authors: Tomokazu Arita, Tetsuro Nishino, Kimio Sugita, Kensei Tsuchida, Takeo YakuAbstract:In this paper, we introduce attribute graph grammars for labeled grid graphs, and propose their application to generating Tabular Forms representing program specification Forms with grid structures, such as two-dimensional arrays. An attribute graph grammar to Formalize Tabular Forms with grid structures and their layout inFormation is defined by a context-sensitive graph grammar with semantic rules attached to its productions. Formalization of Tabular Forms based on an attribute graph grammar is enables detection of syntactic errors in item placement and solving of Tabular Form layout problems by evaluating the grammar’s semantic rules. A parsing algorithm is proposed for detecting syntactic errors that is based on an attribute graph grammar for labeled grid graphs representing Tabular Forms. The production sequence for a Tabular Form is obtained by this parsing process. A table layout problem for a Tabular Form with a grid structure is solved by evaluating the grammar’s semantic rules based on the production sequence.
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VL/HCC - Tabular Form editing with a hexadecimal grid graph model
2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL HCC), 2011Co-Authors: Shinji Koka, Kenshi Nomaki, Koichi Anada, Takeo YakuAbstract:We discuss Tabular Forms. It is known in the previous studies that the “octgrid” is a data structure for single layer Tabular Forms with ruled line preserving algorithms. And the “hexadeci-grid” is known as a data structure for multiply layered Tabular Forms which is a generalization of the “octgrid”. Our purpose of this paper is to propose a new algorithm based on the “hexadeci-grid” model for editing Tabular Forms.
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Tabular Form editing with a hexadecimal grid graph model
2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL HCC), 2011Co-Authors: Shinji Koka, Kenshi Nomaki, Koichi Anada, Takeo YakuAbstract:We discuss Tabular Forms. It is known in the previous studies that the “octgrid” is a data structure for single layer Tabular Forms with ruled line preserving algorithms. And the “hexadeci-grid” is known as a data structure for multiply layered Tabular Forms which is a generalization of the “octgrid”. Our purpose of this paper is to propose a new algorithm based on the “hexadeci-grid” model for editing Tabular Forms.
E I Jury - One of the best experts on this subject based on the ideXlab platform.
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on the bistritz Tabular Form and its relationship with the schur cohn minors and inner determinants
Journal of The Franklin Institute-engineering and Applied Mathematics, 1993Co-Authors: Kamal Premaratne, E I JuryAbstract:Abstract The Bistritz Tabular Form may be utilized in determining discrete-time system stability with less computational effort as compared with the Jury Tabular Form. When appropriately constructed, the latter, however, provides the Schur-Cohn minors and the inner determinants related to the characteristic equation being tested. In this paper, we show that these quantities also may be extracted from the Bistritz Tabular Form. The cases of polynomials with both real- and complex-valued coefficients are studied. An important consequence of these relationships is the possibility of utilizing the Bistritz table in determining stability of two- and multi-dimensional discrete-time systems
