Knowledge-rich catalog services for engineering design

2003 ◽  
Vol 17 (4) ◽  
pp. 349-366 ◽  
Author(s):  
JIHIE KIM ◽  
PETER WILL ◽  
S. RINGO LING ◽  
BOB NECHES
Keyword(s):  
Domain Knowledge ◽  
Simulation Models ◽  
Information Resources ◽  
Information Environment ◽  
Full Potential ◽  
Computational Power ◽  
Multimodal Information ◽  
Search Quality ◽  
Intended Use ◽  
Catalog System

The exponential growth of the Internet and increasing communication and computational power have created many opportunities for advancing engineering, manufacturing, and business activities. Among them are electronic catalogs. These have become basic information resources to a number of people, ranging from shoppers looking for personal items to engineers selecting electromechanical parts to build a product. Although rich in content, current catalog systems are limited both in search quality and in realizing the full potential of the retrieved information. The active catalog system brings a conceptually new idea to electronic commerce by providing a new, computationally usable, catalog information environment about components and their use in applications. It utilizes a rich body of domain knowledge to facilitate access and retrieval of component information. The utility of retrieved information is enhanced by using it to rapidly construct simulation programs and test alternatives, supporting a “try before you buy” paradigm in which users evaluate candidate components within simulations of their design. We describe services provided in the active catalog system to support engineers in selecting and evaluating electromechanical components and subsystems. The services include mechanisms for creating queries for parts based on their intended use rather than merely parametric specifications, refining those queries to take account of constraints imposed by domain knowledge, providing multimodal information to help engineers assess and compare candidate parts, and generating simulation models for candidate parts and integrating them to provide simulation models for candidate systems.

Training future engineers in conditions of educational and information environment of a technical university

2021 ◽  
Vol 7 (Extra-B) ◽  
pp. 641-654
Author(s):  
Vitaliy Rakhmanov ◽  
Myroslav Koval ◽  
Andrii Lytvyn ◽  
Myroslava Kusiy ◽  
Inna Snitsar ◽  
...  
Keyword(s):  
Professional Training ◽  
Information Resources ◽  
Information Environment ◽  
Student Training ◽  
Technical University ◽  
Synergetic System ◽  
The Individual ◽  
Type Of Management

The study presents the results of exploring the training of future engineering specialists in the conditions of educational and information environment of a technical university, as well as methodological recommendations formulated on the basis of the results obtained. The research assumes that the educational and information environment of a technical university should be designed as an open dynamic and synergetic system, in which future engineers should be given a possibility to design an individual educational trajectory based on the use of educational and information resources and considering the individual psychological capabilities of students. The functioning of the educational and information environment of a technical university provides for a cyclical type of management of professional training of future specialists and adhering to the principle of feedback in student training. The results of the study, in particular a comparison of the levels of competence formation of future engineers in the control and experimental groups at the beginning and end of the study, confirmed the correctness of the hypothesis put forward.

Multiagent Systems in the Web

2011 ◽  
pp. 2734-2740
Author(s):  
Hércules Antonio do Prado ◽  
Aluizio Haendchen Filho ◽  
Míriam Sayão ◽  
Edilson Ferneda
Keyword(s):  
Information Systems ◽  
Multiagent Systems ◽  
Business Processes ◽  
Distributed Database ◽  
Information Resources ◽  
Full Potential ◽  
Information Agents ◽  
Extensible Markup ◽  
Intelligent Information ◽  
The Web

The rapid evolution of Internet has opened a new era in the distributed systems scenery: the bigger part of the information systems currently developed is focused in Web applications. Typically, the information resources in Web systems are dynamic, distributed, and heterogeneous. Since these computing environments are opened, information resources can be connected or disconnected at any time. This ubiquity of Web and its distributed and interconnected characteristics represent a natural field for multiagent systems (MAS), spreading this kind of application. Software agents can dynamically discover, orchestrate, and compose services, check activities, run business processes, and integrate heterogeneous applications. Most of the large organizations adopt heterogeneous and complex information systems. These systems must coordinate their applications in order to provide efficient support to business processes and consistent information management. Unfortunately, the operational software underlying these systems usually does not handle multitask distributed heterogeneous applications. Currently, enterprises are strongly interested in the strategic advantages of adopting distributed infrastructures that are designed to be dynamic, flexible, adaptable, and interoperable. In this context, the demand for agent-based applications has increased, opening new types of applications that include e-commerce, Web services, knowledge management, semantic Web, and information systems in general. Interesting solutions to B2B (business to business), e-business, and also applications that require interoperability based on knowledge about applications and business processes, will definitely benefit from the MAS technology. Also, intelligent information agents are regarded as one of the most promising areas for applying agents’ technology. Intelligent information agents act in fields like collaborative systems on Internet, knowledge discovery from heterogeneous sources, systems for intelligent management of information, and so on. The Web can also be seen as a big distributed database having XML (extensible markup language) and its extensions or modifications as an underlying data model. In this context, the MAS development has received support from new tools in order to make it easier for the developer to cope with specific requirements for Web architectures. It is accepted that these improvements in the technology, mainly by the new tools that are becoming available, will lead MAS technology to be explored in its full potential. So, we can state that the application domain of MAS is going to be strongly enlarged, defining a turning point in the systems development activity. In this chapter, we provide an overview on MAS technology, discuss how this technology is impacting the Web context, and provide a sound description of the concepts that are relevant to the application developers and target users.

scholarly journals Online modelling of water distribution systems: a UK case study

2010 ◽  
Vol 3 (1) ◽  
pp. 21-27 ◽  
Author(s):  
J. Machell ◽  
S. R. Mounce ◽  
J. B. Boxall
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Data Transfer ◽  
Simulation Models ◽  
Distribution Networks ◽  
Water Supply Systems ◽  
Full Potential ◽  
Operational Conditions ◽  
The Impact

Abstract. Hydraulic simulation models of water distribution networks are routinely used for operational investigations and network design purposes. However, their full potential is often never realised because, in the majority of cases, they have been calibrated with data collected manually from the field during a single historic time period and, as such, reflect the network operational conditions that were prevalent at that time, and they are then applied as part of a reactive, desktop investigation. In order to use a hydraulic model to assist proactive distribution network management its element asset information must be up to date and it should be able to access current network information to drive simulations. Historically this advance has been restricted by the high cost of collecting and transferring the necessary field measurements. However, recent innovation and cost reductions associated with data transfer is resulting in collection of data from increasing numbers of sensors in water supply systems, and automatic transfer of the data to point of use. This means engineers potentially have access to a constant stream of current network data that enables a new era of "on-line" modelling that can be used to continually assess standards of service compliance for pressure and reduce the impact of network events, such as mains bursts, on customers. A case study is presented here that shows how an online modelling system can give timely warning of changes from normal network operation, providing capacity to minimise customer impact.

scholarly journals Collection development profile of the research institute’s information and library resources (the case study of the Russian Academy of Sciences Institute of Solid State Physics)

2017 ◽  
pp. 22-31
Author(s):  
Olga Levchenko
Keyword(s):  
State Physics ◽  
Information Needs ◽  
Information Resources ◽  
Information Environment ◽  
System Component ◽  
Collection Development ◽  
Solid State Physics ◽  
Library Resources ◽  
Academy Of Sciences

The system of the research institute’s library information resources is described. The electronic resources generated both by the institute itself and other producers are characterized as the most dynamic system component. Collection development profile relevant to researchers’ current information needs and designed to form uniform document and information environment of the Institute is suggested.

scholarly journals Wildland surface fire spread modelling, 1990 - 2007. 1: Physical and quasi-physical models

2009 ◽  
Vol 18 (4) ◽  
pp. 349 ◽  
Author(s):  
Andrew L. Sullivan
Keyword(s):  
Physical Nature ◽  
Simulation Models ◽  
Fire Spread ◽  
Physical Models ◽  
Current Paper ◽  
Present Series ◽  
Wildland Fires ◽  
Computational Power ◽  
Surface Fire ◽  
Starting Point

In recent years, advances in computational power have led to an increase in attempts to model the behaviour of wildland fires and to simulate their spread across the landscape. The present series of articles endeavours to comprehensively survey and précis all types of surface fire spread models developed during the period 1990–2007, providing a useful starting point for those readers interested in recent modelling activities. The current paper surveys models of a physical or quasi-physical nature. These models are based on the fundamental chemistry and physics, or physics alone, of combustion and fire spread. Other papers in the series review models of an empirical or quasi-empirical nature, and mathematical analogues and simulation models. Many models are extensions or refinements of models developed before 1990. Where this is the case, these models are also discussed but in much less detail.

scholarly journals Access and analysis of ISTAC data through the use of R and Shiny

2018 ◽  
Author(s):  
Christian González-Martel ◽  
José M. Cazorla-Artiles ◽  
Carlos J. Pérez-González
Keyword(s):  
Data Science ◽  
Open Data ◽  
Computational Social Science ◽  
Information Resources ◽  
Free Software ◽  
Reproducible Research ◽  
Full Potential ◽  
Data Set ◽  
New Information ◽  
Shiny App

The increasing availability of open data resources provides opportunities for research and data science. It is necessary to develope tools that take advantage of the full potential of new information resources. In this work we developed the package for R istacr that provides a collection of eurostat functions to be able to consult and discard the data that Eurostat, including functions to retrieve, download and manipulate the data set available through the ISTAC BASE API of the Canary Institute of Statistics (ISTAC). In addition, A Shiny app was designed for a responsive visulization of the data. This develope is part of the growing demand for open data and ecosystems dedicated to reproducible research in computational social science and digital humanities. With this interest, this package has been included within rOpenSpain, a project that aims to promote transparent research methods mainly through the use of free software and open data in Spain.

Agent-Based Simulation Modeling

2016 ◽  
pp. 128-139
Author(s):  
Marco Valente
Keyword(s):  
Computer Simulations ◽  
Methodological Approach ◽  
Scientific Research ◽  
Simulation Models ◽  
Basic Unit ◽  
Full Potential ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Investigative Tool ◽  
Simulation Results

Computer simulations are a powerful tool for scientific research, but lack an accepted methodology for their use, and consequently their results are generally received with skepticisms. This chapter proposes a methodological approach allowing to formally unify the treatment of “traditional” quantitative phenomena with that of phenomena from economics or biology that prevent a universal adoption of data-centered methods. We propose to adopt the explanation as the basic unit of knowledge, which is able to cover all possible cases. From this assumption, we can derive the conclusion that simulation models fail to deliver their full potential as scientific investigative tool because their implementations lack crucial details on the intermediate steps producing simulation results.

scholarly journals Wildland surface fire spread modelling, 1990 - 2007. 2: Empirical and quasi-empirical models

2009 ◽  
Vol 18 (4) ◽  
pp. 369 ◽  
Author(s):  
Andrew L. Sullivan
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Physical Nature ◽  
Simulation Models ◽  
Fire Spread ◽  
Empirical Models ◽  
Fuel Moisture ◽  
Computational Power ◽  
Surface Fire ◽  
Fuel Moisture Content

In recent years, advances in computational power have led to an increase in attempts to model the behaviour of wildland fires and to simulate their spread across landscape. The present series of articles endeavours to comprehensively survey and précis all types of surface fire spread models developed during the period 1990–2007. The current paper surveys models of an empirical or quasi-empirical nature. These models are based on the statistical analysis of experimentally obtained data with or without some physical framework for the basis of the relations. Other papers in the series review models of a physical or quasi-physical nature, and mathematical analogues and simulation models. The main relations of empirical models are those of wind speed and fuel moisture content with rate of forward spread. The focus of the discussion is on the treatment of the wind speed and fuel moisture functions by the models.

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