Automated generation of a model view definition from an information delivery manual using idmXSD and buildingSMART data dictionary

The development of an integrated information delivery manual (IDM) and model view definition (MVD) using the buildingSMART Data Dictionary (bSDD) as a lexicon has been identified as an ideal way of developing IDMs and MVDs. Several previous studies proposed methods to integrate the IDM and MVD development process. However, they were inherently limited in various ways because they were proposed before the core relevant technologies were ready. This study proposes an integrated IDM and MVD development method using bSDD as a lexicon based on three international standards—ISO 12006-3, ISO 16739-1, and ISO 29481-3. In particular, ISO 29481-3 is deployed as a core data schema to integrate the entire process. ISO 29481-3, of which the authors were the main developers, is a new ISO standard that specifies the information delivery manual XML schema definition (idmXSD). In addition, the concept-based MVD generation algorithm was adopted to generate a syntactically valid MVD. The proposed method was validated against the basic Facility Management (FM) Handover MVD and the Construction–Operations Building Information Exchange (COBie) MVD. The proposed approach is expected to help facilitate the development of IDM and MVD by allowing developers to utilize bSDD as a common lexicon and share and repurpose existing IDMs and their relationships to MVDs in a machine-readable format using idmXSD.     

Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks

Neuro-oncologists must ultimately rely on their acquired knowledge and accumulated experience to undertake the sensitive task of brain tumour diagnosis. This task strongly depends on indirect, non-invasive measurements, which are the source of valuable data in the form of signals and images. Expert radiologists should benefit from their use as part of an at least partially automated computer-based medical decision support system. This paper focuses on Magnetic Resonance Spectroscopy signal analysis and illustrates a method that combines Gaussian Decomposition, dimensionality reduction by Moving Window with Variance Analysis and classification using adaptively regularized Artificial Neural Networks. The method yields encouraging results in the task of binary classification of human brain tumours, even for tumour types that have seldom been analyzed from this viewpoint.     

The partitioning of QSDF computation graphs

In a previous paper the Quasi Synchronous Data Flow (QSDF) model of computation was presented. A data flow graph is partitioned into disjoint directed paths, called computation paths, with the object of permitting a processor to execute along such a path in a sequential manner as far as possible. Such sequential execution will be facilitated to the extent that each operator along the path, when encountered by the executing processor, will have been supplied with any operand(s) it may require from nodes on other computation paths. If such is found not to be the case, execution of the path must be suspended and will be resumed at such time as the operand arrives.

In this paper, the question of how best to effect such a partition is addressed. A definition of optimality under the QSDF execution discipline is obtained and a closed form for the value of the cardinality of the partition is derived. An algorithm for obtaining an optimal partition is presented and some properties of the resulting partition are examined. Only static program behavior is considered in the analysis.     

基于NPDM的保障系统顶层数据模型研究

介绍了北约产品数据模型(NPDM)的三层体系结构和EXPRESS数据建模语言,着重分析了NPDM顶层数据模型与产品寿命周期的关系,模型中各模式记录的信息内容和模式之间的关系.依据NPDM思想建立了保障系统顶层数据模型,阐述了模型中各模式记录的信息内容,给出了人力与人员、保障设备和保障设施等保障要素的数据结构,为进一步建立保障系统数据模型的打下了基础.     

基于图的机械系统拓扑结构的数据存储

应用图论的概念和建模理论,分析了机械系统机构图和拓扑结构图的关系,提出了一种新的基于图的机械系统拓扑结构的数据存储模型.该存储模型不仅解决了复杂多体系统的存储结构问题,避免了非树形多体向树形多体的切除转换,而且使树形多体系统和非树形多体系统从数学建模到数据存储达到高度一致.