This paper presents a Service-Oriented Process Model (SOM) to build a web-services based process management system, called MIDAS that would support distributed Design and Manufacturing process. SOM uses OWL specification, and describes the semantics of the design process with an underlying mathematical mode, Process Grammar, which supports dynamic process creation and enactment. The rich semant...

Generally, conceptual data models, such as E-R, NIAM, ORM, and UML, are used for modeling relational database schema. Another object database schema design, e.g. Semantic Object Model (SOM), is employed. We use SOM in our research work. The reasons, SOM can capture more meaning of an application environment and provides richer data structuring capabilities. Therefore, it is a powerful approach ...

Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

Digitala resurser i undervisningen, flexibelt lärande och lärandesituationen för utländska studenter står i fokus i aprilnumret av Lärande i LTH. I den första artikeln presenterar sig Genombrottets gästprofessor Linda Price, som forskar och undervisar om användning av digitala resurser inom högre utbildning. Linda Price har vid LTH ansvar för kursen ”Supporting Learning through Digital Resource...

Whether spectral feature parameters (SFPs) can be effectively used to predict soil organic matter (SOM), and its spatial transferability was tested for different regions. In this study, a hybrid model proposed based on SFPs local regression method. The topsoil spectra of 221 samples from Sanjiang Plain 187 Nong’an county in Northeast China were re-sampled (at 0.01 µm intervals) converted the fi...

Faces represent complex multidimensional meaningful visual stimuli and developing a computational model for face recognition is difficult. We present a hybrid neural-network solution which compares favorably with other methods. The system combines local image sampling, a self-organizing map (SOM) neural network, and a convolutional neural network. The SOM provides a quantization of the image sa...