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Author Index Volume 16 (2022) 作者索引第16卷(2022年)
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-10-03 DOI: 10.1142/s1793351x2299001x
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引用次数: 0
An iot based bearing fault detection using convolutional neural network 基于物联网的卷积神经网络轴承故障检测
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-09-20 DOI: 10.1142/s1793351x22400177
Sovon Chakraborty1, F. J. M. Shamrat, Rasel Ahammad, J. Uddin, M. Billah, Jannatun Naeem Muna, Jannatul Ferdaous
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引用次数: 0
Expsfroa-based drn: exponential sunflower rider optimization algorithm-driven deep residual network for the intrusion detection in iot-based plant disease monitoring 基于expsfroa的drn:指数向日葵骑手优化算法驱动的深度残差网络,用于物联网植物病害监测中的入侵检测
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-09-20 DOI: 10.1142/s1793351x22400165
K. Govinda, Mali Shrikant Deelip
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引用次数: 0
Author Index Volume 14 (2020) 作者索引第14卷(2020)
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2020-12-01 DOI: 10.1142/s1793351x20990019
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引用次数: 0
Author Index Volume 13 (2019) 作者索引第13卷(2019)
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-12-01 DOI: 10.1142/s1793351x19990010
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引用次数: 0
Author Index Volume 12 (2018) 作者索引第12卷(2018)
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2018-12-01 DOI: 10.1142/s1793351x18990015
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引用次数: 0
Shape-Based Pedestrian Segmentation in Still Images 静止图像中基于形状的行人分割
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2015-12-01 DOI: 10.1142/S1793351X16400031
J. C. S. J. Júnior, S. Musse
Pedestrian segmentation is a problem of considerable practical interest. In this work we present an extended version of our shape-based model for pedestrian segmentation, which can also be used to give an initial guess of the 2D pedestrians pose/orientation. The proposed model is initialized by a bounding-box of the person under analysis, which can be estimated by a person detector. The basic idea of the proposed model is to create a graph around the detected person, based on a scale invariant shape model and the estimated contour is given by a path in the graph that maximizes certain boundary energy. In practice, such energy should be large in the boundary between the foreground/background. To cope with pose/shape variations, the final estimate is given by a selection scheme, which takes into consideration the individual estimate given by different generated graphs. Experimental results indicated that the proposed technique works well in non trivial images, with comparable accuracy to the state-of-the-art.
行人分割是一个很有实际意义的问题。在这项工作中,我们提出了基于形状的行人分割模型的扩展版本,该模型也可用于对2D行人的姿势/方向进行初步猜测。该模型由被分析对象的边界框初始化,该边界框可由人检测器估计。该模型的基本思想是基于尺度不变的形状模型,在被检测人周围创建一个图,并通过图中使某一边界能量最大化的路径给出估计轮廓。在实际应用中,这种能量应该在前景/背景之间的边界处较大。为了应对姿态/形状的变化,最终估计由一个选择方案给出,该方案考虑了不同生成图给出的单个估计。实验结果表明,该技术在非平凡图像中效果良好,精度与最先进的技术相当。
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引用次数: 2
Enabling Ontology Based Semantic Queries in Biomedical Database Systems. 在生物医学数据库系统中实现基于本体的语义查询。
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2014-03-01 DOI: 10.1142/S1793351X14500032
Shuai Zheng, Fusheng Wang, James Lu

There is a lack of tools to ease the integration and ontology based semantic queries in biomedical databases, which are often annotated with ontology concepts. We aim to provide a middle layer between ontology repositories and semantically annotated databases to support semantic queries directly in the databases with expressive standard database query languages. We have developed a semantic query engine that provides semantic reasoning and query processing, and translates the queries into ontology repository operations on NCBO BioPortal. Semantic operators are implemented in the database as user defined functions extended to the database engine, thus semantic queries can be directly specified in standard database query languages such as SQL and XQuery. The system provides caching management to boosts query performance. The system is highly adaptable to support different ontologies through easy customizations. We have implemented the system DBOntoLink as an open source software, which supports major ontologies hosted at BioPortal. DBOntoLink supports a set of common ontology based semantic operations and have them fully integrated with a database management system IBM DB2. The system has been deployed and evaluated with an existing biomedical database for managing and querying image annotations and markups (AIM). Our performance study demonstrates the high expressiveness of semantic queries and the high efficiency of the queries.

生物医学数据库通常标注有本体概念,但目前还缺乏工具来简化生物医学数据库的集成和基于本体的语义查询。我们的目标是在本体资源库和语义注释数据库之间提供一个中间层,以支持在数据库中直接使用具有表现力的标准数据库查询语言进行语义查询。我们开发了一个语义查询引擎,提供语义推理和查询处理,并将查询转化为 NCBO BioPortal 上的本体库操作。语义操作符在数据库中实现,作为用户定义的函数扩展到数据库引擎,因此语义查询可直接用标准数据库查询语言(如SQL和XQuery)指定。系统提供缓存管理,以提高查询性能。该系统具有很强的适应性,可通过简单的定制支持不同的本体。我们已将 DBOntoLink 系统作为开源软件实现,它支持 BioPortal 上托管的主要本体。DBOntoLink 支持一系列基于本体的通用语义操作,并与 IBM DB2 数据库管理系统完全集成。该系统已与现有的生物医学数据库一起部署和评估,用于管理和查询图像注释和标记(AIM)。我们的性能研究证明了语义查询的高表达能力和查询的高效率。
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引用次数: 0
Semantically Interoperable XML Data. 可语义互操作的 XML 数据
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2013-09-01 DOI: 10.1142/S1793351X13500037
Cristobal Vergara-Niedermayr, Fusheng Wang, Tony Pan, Tahsin Kurc, Joel Saltz

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

在医疗保健、生命科学和许多其他领域,XML 被广泛用作基于网络应用的信息交换平台。不断增加的 XML 数据现在通过最新的本地 XML 数据库技术进行管理。符合通用 XML 模式的 XML 数据源可通过语法互操作性进行共享和整合。通过使用与本体概念相关联的通用数据元素对数据模型进行语义注释,可以实现语义互操作性。在本文中,我们介绍了一个框架和软件系统,用于支持开发可通过网格基础设施共享的基于 XML 的语义互操作数据源。我们还介绍了通过 XML 模式的语义注释、XML 数据的语义验证和语义编写来支持语义验证 XML 数据的工作。我们演示了该系统在医疗图像注释和标记的生物医学数据库中的应用。
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引用次数: 0
Contributions of Sign Language Research to Gesture Understanding: What can Multimodal Computational Systems Learn from Sign Language Research. 手语研究对手势理解的贡献:多模态计算系统能从手语研究中学到什么?
IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2008-01-01 DOI: 10.1142/S1793351X08000324
Ronnie B Wilbur, Evguenia Malaia

This paper considers neurological, formational and functional similarities between gestures and signed verb predicates. From analysis of verb sign movement, we offer suggestions for analyzing gestural movement (motion capture, kinematic analysis, trajectory internal structure). From analysis of verb sign distinctions, we offer suggestions for analyzing co-speech gesture functions.

本文从神经学、结构学和功能学三个方面探讨了手势和动词符号谓词之间的相似性。从动词符号运动的分析出发,对手势运动的分析提出建议(动作捕捉、运动学分析、轨迹内部结构)。从动词符号的区别分析出发,提出了分析同语手势功能的建议。
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引用次数: 18
期刊
International Journal of Semantic Computing
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