Full Text:   <1921>

Summary:  <1575>

CLC number: TP391; TP311

On-line Access: 2016-08-31

Received: 2016-02-15

Revision Accepted: 2016-05-22

Crosschecked: 2016-08-08

Cited: 1

Clicked: 4461

Citations:  Bibtex RefMan EndNote GB/T7714


Imre Horvth


Shahab Pourtalebi


-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.9 P.862-884


Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features

Author(s):  Shahab Pourtalebi, Imre Horvth

Affiliation(s):  Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628 CE Delft, Zuid Holland, the Netherlands

Corresponding email(s):   s.pourtalebihendehkhaleh@tudelft.nl, i.horvath@tudelft.nl

Key Words:  Cyber-physical systems, Software toolbox, Pre-embodiment design, System manifestation features (SMFs), Warehouses, Database schemata, SMF genotypes, SMF phenotypes, SMF instances, Information schema constructs

Shahab Pourtalebi, Imre Horvth. Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(9): 862-884.

@article{title="Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features",
author="Shahab Pourtalebi, Imre Horvth",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features
%A Shahab Pourtalebi
%A Imre Horvth
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 9
%P 862-884
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1600997

T1 - Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features
A1 - Shahab Pourtalebi
A1 - Imre Horvth
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 9
SP - 862
EP - 884
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1600997

Our long-term objective is to develop a software toolbox for pre-embodiment design of complex and heterogeneous systems, such as cyber-physical systems. The novelty of this toolbox is that it uses system manifestation features (SMFs) for transdisciplinary modeling of these systems. The main challenges of implementation of the toolbox are functional design- and language-independent computational realization of the warehouses, and systematic development and management of the various evolving implements of SMFs (genotypes, phenotypes, and instances). Therefore, an information schema construct (ISC) based approach is proposed to create the schemata of the associated warehouse databases and the above-mentioned SMF implements. ISCs logically arrange the data contents of SMFs in a set of relational tables of varying semantics. In this article we present the ISCs necessary for creation of genotypes and phenotypes. They increase the efficiency of the database development process and make the data relationships transparent. Our follow-up research focuses on the elaboration of the SMF instances based system modeling methodology.


概要:我们的长期目标是为复杂、异构系统(如信息物理系统)的预实体化设计建立一个软件工具箱。该工具箱的新颖性在于其利用了系统表现特征(system manifestation features, SMF)来进行跨学科的系统建模。实现该工具箱的难点在于其仓库的计算实现不依赖于功能设计和语言,和对于多种不断演变的SMF(基因型、表型及实例)工具的系统化的开发和管理。因此,我们提出了一种基于信息模式构造(information schema construct, ISC)的方法用以构造相关联的仓库数据库图式以及前述的SMF。ISC从逻辑上将SMF的数据内容整合为一组不同语义下的关系表。本文中我们给出了创建基因型和表型所必需的信息模式构造。这些信息模式构造提高了数据库的开发效率,并使数据之间的联系透明化。下一步研究中我们将重点关注基于SMF实例的系统建模方法的实施细节。

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1]Abdul-Ghafour, S., Ghodous, P., Shariat, B., et al., 2014. Semantic interoperability of knowledge in feature-based CAD models. Comput.-Aided Des., 56:45-57.

[2]Apel, S., Kästner, C., 2009. An overview of feature-oriented software development. J. Object Technol., 8(5):49-84.

[3]Au, C.K., Yuen, M.M.F., 2000. A semantic feature language for sculptured object modelling. Comput.-Aided Des., 32(1):63-74.

[4]Batory, D., 2005. Feature models, grammars, and propositional formulas. LNCS, 3714:7-20.

[5]Bidarra, R., Bronsvoort, W.F., 2000. Semantic feature modelling. Comput.-Aided Des., 32(3):201-225.

[6]Case, K., Gao, J., 1993. Feature technology: an overview. Int. J. Comput. Integr. Manuf., 6(1-2):2-12.

[7]Chaudron, M.R., Eskenazi, E.M., Fioukov, A.V., et al., 2001. A framework for formal component-based software architecting. Proc. Specification and Verification of Component-Based Systems Workshop, p.73-80.

[8]Czarnecki, K., Eisenecker, U.W., 2000. Generative Programming: Methods, Tools, and Applications. Addison-Wesley, Boston, MA.

[9]Czarnecki, K., Helsen, S., Eisenecker, U., 2005. Formalizing cardinality-based feature models and their specialization. Softw. Process Improv. Pract., 10(1):7-29.

[10]Grzybek, H., Xu, S., Gulliver, S., et al., 2014. Considering the feasibility of semantic model design in the built-environment. Buildings, 4(4):849-879.

[11]Henderson, M.R., Anderson, D.C., 1984. Computer recognition and extraction of form features: a CAD/CAM link. Comput. Ind., 5(4):329-339.

[12]Horváth, I., Pourtalebi, S., 2015. Fundamentals of a Mereo-Operandi theory to support transdisciplinary modeling and co-design of cyber-physical systems. Proc. ASME Int. Design Engineering Technical Conf. and Computers and Information in Engineering Conf., p.1-12.

[13]Hu, F., 2013. Cyber-Physical Systems: Integrated Computing and Engineering Design. CRC Press, Boca Raton, p.15-35.

[14]Kacprzynski, G.J., Roemer, M.J., Byington, C.S., et al., 2002. Enhancing gear physics of failure models with system level vibration features. Proc. 56th Meeting of the Society for MFPT, p.263-277.

[15]Lee, G., Eastman, C.M., Sacks, R., et al., 2006. Grammatical rules for specifying information for automated product data modeling. Adv. Eng. Inform., 20(2):155-170.

[16]Muth, T., Herzberg, D., Larsen, J., 2001. A fresh view on model-based systems engineering: the processing system paradigm. INCOSE Int. Symp., 11(1):295-302.

[17]Oliver, D.W., 1993. Descriptions of systems engineering methodologies and comparison of information representations. INCOSE Int. Symp., 3(1):97-104.

[18]Pandit, S., Honavar, V., 2010. Ontology-guided extraction of complex nested relationships. Proc. IEEE 22nd Int. Conf. on Tools with Artificial Intelligence, p.173-178.

[19]Parry-Barwick, S., Bowyer, A., 1993. Feature Technology. Technical Report, University of Bath, School of Mechanical Engineering, Bath.

[20]Pourtalebi, S., Horváth, I., 2016a. Towards a methodology of system manifestation features-based pre-embodiment design. J. Eng. Des., 27(4-6):232-268.

[21]Pourtalebi, S., Horváth, I., 2016b. Procedures for creating system manifestation features: an information processing perspective. Proc. 11th Int. Symp. on Tools and Methods of Competitive Engineering, p.129-142.

[22]Pourtalebi, S., Horváth, I., 2016c. Information schema constructs for instantiation and composition of system manifestation features. Front. Inform. Technol. Electron. Eng., in press.

[23]Pourtalebi, S., Horváth, I., Opiyo, E., 2013. Multi-aspect study of mass customization in the context of cyber-physical consumer durables. Proc. ASME Int. Design Engineering Technical Conf. & Computers and Information in Engineering Conf., p.V004T05A006.

[24]Pourtalebi, S., Horváth, I., Opiyo, E.Z., 2014a. New features imply new principles Deriving design principles for mass customization of cyber-physical consumer durables. Proc. 10th Int. Tools and Methods of Competitive Engineering Symp., p.95-108.

[25]Pourtalebi, S., Horváth, I., Opiyo, E.Z., 2014b. First steps towards a Mereo-Operandi theory for a system feature-based architecting of cyber-physical systems. 4th Int. Workshop on Advanced Design Concepts and Practice, p.2001-2006.

[26]Pratt, M.J., 1991. Aspects of form feature modelling. In: Hagen, H., Roller, D. (Eds.), Geometric Modeling. Springer, Berlin Heidelberg, p.227-250.

[27]Pulvermueller, E., Speck, A., Coplien, J.O., et al., 2002. Feature interaction in composed systems. LNCS, 2323:86-97.

[28]Romero, T.A., López, G.D., Torres, F.R., 2015. Dynamic SQL codebuilder. Int. J. Latest Res. Sci. Technol., 4(6):1-6.

[29]Salomons, O.W., van Houten, F.J., Kals, H.J., 1993. Review of research in feature-based design. J. Manuf. Syst., 12(2):113-132.

[30]Schirner, G., Gerstlauer, A., Dömer, R., 2010. System-level development of embedded software. Proc. Asia and South Pacific Design Automation Conf., p.903-909.

[31]Shah, J.J., Rogers, M.T., 1988. Functional requirements and conceptual design of the feature-based modelling system. Comput.-Aided Eng. J., 5(1):9-15.

[32]Shenton, A.K., Hayter, S., 2006. Terminology deconstructed: phenomenographic approaches to investigating the term “information”. Libr. Inform. Sci. Res., 28(4):563-578.

[33]Sun, H., Zhang, P., 2008. Adaptive system use: an investigation at the system feature level. Proc. 29th Int. Conf. on Information Systems, p.170.

[34]Tao, R., Yang, L., Peng, L., et al., 2009. A case study: using architectural features to improve sophisticated denial-of-service attack detections. Proc. IEEE Symp. on Computational Intelligence in Cyber Security, p.13-18.

[35]VDI, 2003. Information Technology in Product Development: Feature Technology. VDI 2218. VDI-Richtlinien, Beuth Verlag GmbH, Berlin.

[36]Wang, H., Zhang, Y., Cao, J., et al., 2003. Feature-based collaborative design. J. Mater. Process. Technol., 139(1-3):613-618.

[37]Wang, Y.N., Lin, Z.Y., Liang, X., et al., 2016. On modeling of electrical cyber-physical systems considering cyber security. Front. Inform. Technol. Electron. Eng., 17(5):465-478.

[38]Wu, Y., He, F., Zhang, D., et al., 2015. Service-oriented feature-based data exchange for cloud-based design and manufacturing. IEEE Trans. Serv. Comput., in press.

[39]Zha, X.F., Sriram, R.D., 2006. Feature technology and ontology for embedded system design and development. Proc. ASME Int. Design Engineering Technical Conf. and Computers and Information in Engineering Conf., p.701-714.

[40]Zha, X.F., Fenves, S.J., Sriram, R.D., 2005. A feature-based approach to embedded system hardware and software co-design. Proc. ASME Int. Design Engineering Technical Conf. and Computers and Information in Engineering Conf., p.609-620.

[41]Zhang, D.J., He, F.Z., Han, S.H., et al., 2016. Quantitative optimization of interoperability during feature-based data exchange. Integr. Comput.-Aided Eng., 23(1):31-50.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2022 Journal of Zhejiang University-SCIENCE