Rule-based diagnostic expert systems can be used to perform many of the diagnostic chores necessary in today's complex space systems. These expert systems typically take a set of symptoms as input and produce diagnostic advice as output. The primary objective of such expert systems is to provide accurate and comprehensive advice which can be used to help return the space system in question to n...

The development and determination of module validity aims to examine the application guided discovery learning model material reaction rate. was carried out using plomp with 3 stages, namely preliminary research, prototyping stage assessment. stages are only up formative evaluation until expert review stage. Expert is through an assessment 5 validators, chemistry lectures 2 teachers. Data were ...

The EKOSS (Expert Knowledge Ontology-based Semantic Search) system has been developed for supporting the sharing, discovery, and integration of expert scientific knowledge using semantic web and AI technologies. The current EKOSS system supports two ontologies that are founded on description logics and implemented in OWL-DL: the SCINTENG ontology extending the Epistle Core Model and the SCINTHU...

Observations of individual organisms (data) can be combined with expert ecological knowledge of species, especially causal knowledge, to model and extract from flower-visiting data useful information about behavioral interactions between insect and plant organisms, such as nectar foraging and pollen transfer. We describe and evaluate a method to elicit and represent such expert causal knowledge...

Tujuan penelitian ini untuk menghasilkan media interaktif berbasis Discovery Learning yang valid, praktis dan efektif dalam meningkatkan kemampuan berpikir kritis siswa SD/MI. Jenis digunakan adalah Research and Development mengacu pada model pengembangan Tessmer memiliki 4 tahapan : a) self evaluation b) expert review one to c) small group d) field test. Evaluasi formatif dengan tiga tahap, ya...

This presentation describes an approach to implementing web-based-training (WBT) environments using the Virtual Reality Modeling Language (VRML) and Java. A VRML enabled web browser provides an interactive 3-dimensional (3-D) world where the user can learn by discovery and by doing. A Java expert system adds the ability for the practice environment to use reasoning to coach and guide the learni...

Equation discovery, also known as symbolic regression, is a type of automated modeling that discovers scientific laws, expressed in the form equations, from observed data and expert knowledge. Deterministic grammars, such context-free have been used to limit search spaces equation discovery by providing hard constraints specify which equations consider not. In this paper, we propose use probabi...

The application of parallel synthesis to lead optimization programs in drug discovery has been an ongoing challenge since the first reports of library synthesis. A number of approaches to the application of parallel array synthesis to lead optimization have been attempted over the years, ranging from widespread deployment by (and support of) individual medicinal chemists to centralization as a ...

Spatial join is the most expensive operation in geographic databases, but essentially important to compute spatial relationships intrinsic to geographic data. In account of spatial relationships real world entities may affect the behavior of other entities in the neighborhood. Spatial relationships are fundamental for knowledge discovery in geographic databases and are strongly related to the d...