The paper presents a generic framework for a Product Driven Control Systems (PDCS) dealing with production planning and control. The framework is based on Viable System Model (VSM) which is introduced for intelligent manufacturing systems. Based on suitable properties as autonomy, self-organization and adaptability, VSM allows to model and consider these properties for PDCS. An application for ...

This paper discusses an implementation of CMU Sphinx-4 in an automatic speech recognition-based information center (ASRIC) for Indonesian language. The ASRIC uses a vector space model (VSM) to improve the performance of statistical language model and to recognize the user utterance more flexibly. Testing to an Indonesian speaker shows that VSM is capable of reducing the query error rate in acce...

Vector space model (VSM) is a common method for measuring test questions similarity in largescale item bank system. VSM is limited in accurately representing the knowledge relationship and the potential semantic relations of different characteristic words, hence this paper proposes a method of test questions similarity measure called OVSM-TQSM which combines domain ontology and VSM. OVSMTQSM ca...

In this paper we explore the Viable System Model (VSM) as a basis for design of a component framework. The goal is to address complex application requirements by increasing the level of abstraction and through principled consistency in a component architecture. We develop a scenario around a Smart Lecture Room. This provides a hardware and software setting to illustrate how the VSM is used to d...

Multiple processors can be used to speed up a backward-chaining deduction by distributing or-parallel deductions. However, the actual speedup obtained is strongly dependent on the amount of communication required for the task allocation strategy. A Variable Supply Model (VSM) is presented for multiple processors with replicated databases on a broadcast network. The term model refers to the set ...

Most studies on document clustering till date use Vector Space Model (VSM) to represent documents in the document space, where documents are denoted by a vector in a word vector space. The standard VSM does not take into account the semantic relatedness between terms. Thus, terms with some semantic similarity are dealt with in the same way as terms with no semantic relatedness. Since this uncon...

Vector space model (VSM) is a common method for measuring test questions similarity in massive item bank system. VSM is limited in accurately representing the knowledge relationship and the potential semantic relations of different characteristic words, hence this paper proposes a method of test questions similarity measure called OVSMTQSM which combines domain ontology and VSM. OVSM-TQSM can r...

Restenosis continues to be a major problem limiting the effectiveness of revascularization procedures. To date, the roles of heterotrimeric G proteins in the triggering of pathological vascular smooth muscle (VSM) cell proliferation have not been elucidated. bg subunits of heterotrimeric G proteins (Gbg) are known to activate mitogen-activated protein (MAP) kinases after stimulation of certain ...

In this paper, a hybrid methodology with a vector space model (VSM) and process-oriented attributes for document management is proposed. The VSM is fine-tuned for classifying documents generated during R&D processes. The document correlation values are computed with the VSM for efficient retrieval. Only documents with high correlation values are presented to meet the specific retrieval purpose,...

In this paper, we propose a novel model for Document Representation in an attempt to address the problem of huge dimensionality and vector sparseness that are commonly faced in Text Classification tasks. The proposed model consists of representing text documents in the space of training documents at a first stage. Afterward, the generated vectors are projected in a new space where the number of...