sMML - A Smart MetaModeling Language for Flexible Modeling

2005 ◽  
Vol 17 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Makoto Oya ◽  
Keyword(s):  
Systems Design ◽  
General Purpose ◽  
Modeling Language ◽  
Modeling Languages ◽  
Software Designers ◽  
Flexible Modeling ◽  
Software Models ◽  
Custom Made ◽  
Wide Range ◽  
Application Specific

Modeling is the key to software design, from large information systems to embedded software. Without well-considered software models, the developed implementation becomes inconsistent or distant from the original requirement. A model is created using a modeling language. UML is a standardized general-purpose modeling language widely used in enterprise systems design. Because it is very large language, UML is not always appropriate for designing small software. Designers also often want to describe models differently based on the immediate need preferring simple, application-specific but flexible notation rather than the rigidity of UML. We propose a metamodeling language, called <I>sMML</I>, to define custom-made modeling language that enables designers to define a suitable modeling language on demand, then write actual models using it. <I>sMML</I> is a metamodeling language small enough to define a variety of modeling languages, self-closed and independent of other modeling languages, and aligned with UML. After completely defining <I>sMML</I>, we present experimental results applying <I>sMML</I>, taking a simple modeling language and UML as examples, which demonstrates that <I>sMML</I> is useful for flexible modeling and capable of defining a wide range of modeling languages.

OPAS: Ontology Processing for Assisted Synthesis of Conceptual Design Solutions

2009 ◽  
Author(s):  
Franc¸ois Christophe ◽  
Raivo Sell ◽  
Alain Bernard ◽  
Eric Coatane´a
Keyword(s):  
Conceptual Design ◽  
Systems Engineering ◽  
System Modeling ◽  
Knowledge Bases ◽  
General Purpose ◽  
Synthesis Process ◽  
Modeling Language ◽  
Engineering System ◽  
Modeling Languages ◽  
Knowledge Representations

This article focuses on a key phase of the conceptual design, the synthesis of structural concepts of solution. Several authors have described this phase of Engineering Design. The Function-Behavior-Structure (FBS) is one of these models. This study is based on the combined use of a modified version of Gero’s FBS model and the latest developments of modeling languages for systems engineering. System Modeling Language (SysML) is a general-purpose graphical modeling language for specifying, analyzing, designing, and verifying complex systems. Our development shows how SysML types of diagrams match with our updated vision of the FBS model of conceptual design. The objective of this paper is to present the possibility to use artificial intelligence tools as members of the design team for supporting the synthesis process. The common point of expert systems developed during last decades for the synthesis of conceptual solutions is that their knowledge bases were application dependent. Latest research in the field of Ontology showed the possibility to build knowledge representations in a reusable and shareable manner. This allows the construction of knowledge representation for engineering in a more generic manner and dynamic mapping of the ontology layers. We present here how processing on ontology allows the synthesis of conceptual solutions.

scholarly journals A Generalization Performance Study Using Deep Learning Networks in Embedded Systems

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1031
Author(s):  
Joseba Gorospe ◽  
Rubén Mulero ◽  
Olatz Arbelaitz ◽  
Javier Muguerza ◽  
Miguel Ángel Antón
Keyword(s):  
Deep Learning ◽  
Embedded Systems ◽  
Embedded System ◽  
General Purpose ◽  
Learning Networks ◽  
Performance Study ◽  
Learning Techniques ◽  
Wide Range ◽  
Learning Architectures

Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the digitalisation of society in general and the industrial world in particular. In addition, the immersion of the field of edge computing, which focuses on integrating artificial intelligence as close as possible to the client, makes it possible to implement systems that act in real time without the need to transfer all of the data to centralised servers. The combination of these two concepts can lead to systems with the capacity to make correct decisions and act based on them immediately and in situ. Despite this, the low capacity of embedded systems greatly hinders this integration, so the possibility of being able to integrate them into a wide range of micro-controllers can be a great advantage. This paper contributes with the generation of an environment based on Mbed OS and TensorFlow Lite to be embedded in any general purpose embedded system, allowing the introduction of deep learning architectures. The experiments herein prove that the proposed system is competitive if compared to other commercial systems.

scholarly journals An information theoretic approach to link prediction in multiplex networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Seyed Hossein Jafari ◽  
Amir Mahdi Abdolhosseini-Qomi ◽  
Masoud Asadpour ◽  
Maseud Rahgozar ◽  
Naser Yazdani
Keyword(s):  
Real World ◽  
Link Prediction ◽  
Large Scale ◽  
Similarity Measures ◽  
Prediction Method ◽  
General Purpose ◽  
Fast Method ◽  
Theoretic Approach ◽  
Multiplex Networks ◽  
Wide Range

AbstractThe entities of real-world networks are connected via different types of connections (i.e., layers). The task of link prediction in multiplex networks is about finding missing connections based on both intra-layer and inter-layer correlations. Our observations confirm that in a wide range of real-world multiplex networks, from social to biological and technological, a positive correlation exists between connection probability in one layer and similarity in other layers. Accordingly, a similarity-based automatic general-purpose multiplex link prediction method—SimBins—is devised that quantifies the amount of connection uncertainty based on observed inter-layer correlations in a multiplex network. Moreover, SimBins enhances the prediction quality in the target layer by incorporating the effect of link overlap across layers. Applying SimBins to various datasets from diverse domains, our findings indicate that SimBins outperforms the compared methods (both baseline and state-of-the-art methods) in most instances when predicting links. Furthermore, it is discussed that SimBins imposes minor computational overhead to the base similarity measures making it a potentially fast method, suitable for large-scale multiplex networks.

scholarly journals Towards an accurate description of perovskite ferroelectrics: exchange and correlation effects

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Simuck F. Yuk ◽  
Krishna Chaitanya Pitike ◽  
Serge M. Nakhmanson ◽  
Markus Eisenbach ◽  
Ying Wai Li ◽  
...  
Keyword(s):  
Density Functional ◽  
General Purpose ◽  
Correlation Effects ◽  
Lattice Constants ◽  
Bulk Solids ◽  
Wide Range ◽  
Exchange Enhancement ◽  
Experimental Values ◽  
Similar Accuracy ◽  
Ferroelectric Oxides

Abstract Using the van der Waals density functional with C09 exchange (vdW-DF-C09), which has been applied to describing a wide range of dispersion-bound systems, we explore the physical properties of prototypical ABO 3 bulk ferroelectric oxides. Surprisingly, vdW-DF-C09 provides a superior description of experimental values for lattice constants, polarization and bulk moduli, exhibiting similar accuracy to the modified Perdew-Burke-Erzenhoff functional which was designed specifically for bulk solids (PBEsol). The relative performance of vdW-DF-C09 is strongly linked to the form of the exchange enhancement factor which, like PBEsol, tends to behave like the gradient expansion approximation for small reduced gradients. These results suggest the general-purpose nature of the class of vdW-DF functionals, with particular consequences for predicting material functionality across dense and sparse matter regimes.

SYSTEMC IMPLEMENTATION AND PERFORMANCE EVALUATION OF A DECOUPLED GENERAL-PURPOSE MATRIX PROCESSOR

2010 ◽  
Vol 20 (02) ◽  
pp. 103-121 ◽  
Author(s):  
MOSTAFA I. SOLIMAN ◽  
ABDULMAJID F. Al-JUNAID
Keyword(s):  
Performance Evaluation ◽  
Matrix Multiplication ◽  
General Purpose ◽  
System Level ◽  
Memory Latency ◽  
Single Chip ◽  
Wide Range ◽  
Matrix Unit ◽  
And Performance ◽  
Vector Matrix

Technological advances in IC manufacturing provide us with the capability to integrate more and more functionality into a single chip. Today's modern processors have nearly one billion transistors on a single chip. With the increasing complexity of today's system, the designs have to be modeled at a high-level of abstraction before partitioning into hardware and software components for final implementation. This paper explains in detail the implementation and performance evaluation of a matrix processor called Mat-Core with SystemC (system level modeling language). Mat-Core is a research processor aiming at exploiting the increasingly number of transistors per IC to improve the performance of a wide range of applications. It extends a general-purpose scalar processor with a matrix unit. To hide memory latency, the extended matrix unit is decoupled into two components: address generation and data computation, which communicate through data queues. Like vector architectures, the data computation unit is organized in parallel lanes. However, on parallel lanes, Mat-Core can execute matrix-scalar, matrix-vector, and matrix-matrix instructions in addition to vector-scalar and vector-vector instructions. For controlling the execution of vector/matrix instructions on the matrix core, this paper extends the well known scoreboard technique. Furthermore, the performance of Mat-Core is evaluated on vector and matrix kernels. Our results show that the performance of four lanes Mat-Core with matrix registers of size 4 × 4 or 16 elements each, queues size of 10, start up time of 6 clock cycles, and memory latency of 10 clock cycles is about 0.94, 1.3, 2.3, 1.6, 2.3, and 5.5 FLOPs per clock cycle; achieved on scalar-vector multiplication, SAXPY, Givens, rank-1 update, vector-matrix multiplication, and matrix-matrix multiplication, respectively.

COLOUR-MATCHING IN HAND AND FINGER PROSTHESES: THE ASIAN PERSPECTIVE

Hand Surgery ◽  
1996 ◽  
Vol 01 (01) ◽  
pp. 37-43 ◽  
Author(s):  
Eng-Lye Leow ◽  
Anam-Kueh Kour ◽  
Barry P. Pereira ◽  
Robert W.H. Pho
Keyword(s):  
Asian Population ◽  
Hand Prosthesis ◽  
Custom Made ◽  
Wide Range ◽  
Colour Match ◽  
Matching Procedure

The wide range of skin tones in the Asian population presents a challenge when colour-matching hand and finger prostheses. It requires that the prostheses be custom-made to better match the wide variations. We have developed a finger and hand prosthesis using a multi-layered moulding technique incorporating a colour-matching procedure capable of reproducing the colour tones and life-like appearance of the skin. Between 1990–1994, we have fitted these prostheses to a total of 109 patients. In evaluating the colour-match of their prostheses, 84% of the patients fitted with hand prostheses and 78% of those fitted with finger prostheses had a good to excellent match. This paper discusses some of the challenges we face in colour-matching hand and finger prostheses in the Asian population.

Evaluation of Composted Sewage Sludge/Straw Mixture for Horticultural Utilization

1989 ◽  
Vol 21 (8-9) ◽  
pp. 889-897 ◽  
Author(s):  
J. M. Lopez-Real ◽  
E. Witter ◽  
F. N. Midmer ◽  
B. A. O. Hewett
Keyword(s):  
Collaborative Research ◽  
Slow Release ◽  
General Purpose ◽  
Exchange Capacity ◽  
Soluble Salts ◽  
Slow Release Fertilizer ◽  
Wide Range ◽  
Sludge Cake ◽  
Bulk Volume ◽  
Composted Sewage Sludge

Collaborative research between Southern Water and Wye College, University of London, has led to the development of a static aerated pile composting process for the treatment of dewatered activated sludge cake/straw mixtures. The process reduces bulk volume of the sludge producing an environmentally acceptable, stabilised, odour and pathogen-free product. Characteristics of the compost make it a suitable general purpose medium for container grown plants, providing the salt concentration is reduced by washing the compost prior to planting. Compared with peat the compost has a higher bulk density, a lower waterholding capacity, a lower cation exchange capacity, a high content of soluble salts, and a higher content of plant nutrients. A compost mixture was successfully developed in the growing trials containing equal quantities of compost, Sphagnum peat, and horticultural vermiculite. The compost has been used successfully to grow a wide range of plants. Plants grown in mixtures based on the compost were in general similar to those grown in peat-based growing media. The compost is a valuable soil conditioner and slow release fertilizer.

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