scholarly journals Developing and Implementing a Conceptual Composite Materials Design Database

1993 ◽  
Author(s):  
William J. Rasdorf ◽  
Lisa K. Spainhour
Keyword(s):  
Composite Materials ◽  
Computer Technology ◽  
Data Model ◽  
Data Representation ◽  
Future Research ◽  
Clear Understanding ◽  
Analysis And Design ◽  
Problems And Solutions ◽  
Software Interfaces ◽  
Design Software

Abstract Researchers and materials engineers require a greater understanding of the problems and solutions that emerge when integrating composite materials data with computer technology so that utilitarian composite materials databases can be developed to effectively and efficiently support analysis and design software. Composite materials constitute a representational challenge due to their composition and use. However, this paper suggests that a conceptual composite material data model and application software interfaces must be developed to support the dissemination and use of composite materials data. This paper primarily serves to analyze several of the problems facing developers of composite materials databases, evolving from the complexity of the materials themselves and from the current lack of testing and data representation standards. Without a clear understanding of the scope and nature of these problems, there is no possibility of designing concise yet comprehensive composites data models, yet we feel that such an understanding is presently lacking. In addition, an effort is made to present possible solutions to these difficulties being suggested and/or implemented both by the authors and by other researchers in the field. Such an effort provides a firm foundation upon which future research may be based.

scholarly journals Composite Materials Design Database and Data Retrieval System Requirements

1994 ◽  
Vol 116 (2) ◽  
pp. 531-538
Author(s):  
W. J. Rasdorf
Keyword(s):  
Composite Materials ◽  
Computer Technology ◽  
Retrieval System ◽  
Data Retrieval ◽  
Data Representation ◽  
Clear Understanding ◽  
Analysis And Design ◽  
Problems And Solutions ◽  
System Requirements ◽  
Design Software

Researchers and materials engineers require a greater understanding of the problems and solutions that emerge when integrating composite materials data with computer technology so that utilitarian composite materials databases can be developed to effectively and efficiently support analysis and design software. This paper primarily serves to analyze several of the problems facing developers of composite materials databases, evolving from the complexity of the materials themselves and from the current lack of testing and data representation standards. Without a clear understanding of the scope and nature of these problems, there is no possibility of designing concise yet comprehensive composites data models, yet we feel that such an understanding is presently lacking.

scholarly journals Consumer Neuroscience Techniques in Advertising Research: A Bibliometric Citation Analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 1589
Author(s):  
Juan Sánchez-Fernández ◽  
Luis-Alberto Casado-Aranda ◽  
Ana-Belén Bastidas-Manzano
Keyword(s):  
Self Report ◽  
Future Research ◽  
Complex Nature ◽  
Clear Understanding ◽  
Continuous Growth ◽  
Main Research ◽  
Consumer Neuroscience ◽  
Starting Point ◽  
Wide Range ◽  
Performance Analysis Tools

The limitations of self-report techniques (i.e., questionnaires or surveys) in measuring consumer response to advertising stimuli have necessitated more objective and accurate tools from the fields of neuroscience and psychology for the study of consumer behavior, resulting in the creation of consumer neuroscience. This recent marketing sub-field stems from a wide range of disciplines and applies multiple types of techniques to diverse advertising subdomains (e.g., advertising constructs, media elements, or prediction strategies). Due to its complex nature and continuous growth, this area of research calls for a clear understanding of its evolution, current scope, and potential domains in the field of advertising. Thus, this current research is among the first to apply a bibliometric approach to clarify the main research streams analyzing advertising persuasion using neuroimaging. Particularly, this paper combines a comprehensive review with performance analysis tools of 203 papers published between 1986 and 2019 in outlets indexed by the ISI Web of Science database. Our findings describe the research tools, journals, and themes that are worth considering in future research. The current study also provides an agenda for future research and therefore constitutes a starting point for advertising academics and professionals intending to use neuroimaging techniques.

scholarly journals Application of the Socio-Ecological System Framework to Forest Fire Risk Management: A Systematic Literature Review

2021 ◽  
Vol 13 (4) ◽  
pp. 2121 ◽  
Author(s):  
Ingrid Vigna ◽  
Angelo Besana ◽  
Elena Comino ◽  
Alessandro Pezzoli
Keyword(s):  
Risk Management ◽  
Community Involvement ◽  
Forest Ecosystems ◽  
Local Community ◽  
Fire Risk ◽  
Future Research ◽  
Specific Reference ◽  
Clear Understanding ◽  
Wildfire Risk ◽  
Starting Point

Although increasing concern about climate change has raised awareness of the fundamental role of forest ecosystems, forests are threatened by human-induced impacts worldwide. Among them, wildfire risk is clearly the result of the interaction between human activities, ecological domains, and climate. However, a clear understanding of these interactions is still needed both at the global and local levels. Numerous studies have proven the validity of the socioecological system (SES) approach in addressing this kind of interdisciplinary issue. Therefore, a systematic review of the existing literature on the application of SES frameworks to forest ecosystems is carried out, with a specific focus on wildfire risk management. The results demonstrate the existence of different methodological approaches that can be grouped into seven main categories, which range from qualitative analysis to quantitative spatially explicit investigations. The strengths and limitations of the approaches are discussed, with a specific reference to the geographical setting of the works. The research suggests the importance of local community involvement and local knowledge consideration in wildfire risk management. This review provides a starting point for future research on forest SES and a supporting tool for the development of a sustainable wildfire risk adaptation and mitigation strategy.

The identity crisis of sustainable development

2014 ◽  
Vol 11 (1) ◽  
pp. 4-15 ◽  
Author(s):  
Catalin Ratiu ◽  
Beverlee B. Anderson
Keyword(s):  
Sustainable Development ◽  
Design Methodology ◽  
Identity Crisis ◽  
Primary Data ◽  
Future Research ◽  
Clear Understanding ◽  
Content Type ◽  
The Public ◽  
Larger Sample ◽  
Practical Implications

Purpose – There are many different conceptualizations to sustainable development and these different approaches may have led to confusion amongst the public. The purpose of this paper is to explore the identities of the term and how the confused identity may be leading to problems for sustainable development efforts. Design/methodology/approach – The design is exploratory, using both secondary and primary data to understand the different sustainable development concepts. Findings – There is no consistent understanding or use of the term “sustainable development” among various groups. Research limitations/implications – Future research should include a larger sample that is more representative of people from different backgrounds and geographical areas. Practical implications – The public is generally willing to support only projects that it understands. Without a clear understanding of sustainable development, the public will be less inclined to support these efforts. Originality/value – This study examines the perceptions and understandings of the term by the general public representing different generations.

Vocabulary and Computer Technology: A Commentary on Four Studies for JALT Vocabulary SIG

2020 ◽  
Vol 9 (2) ◽  
pp. 39-47
Author(s):  
Tatsuya Nakata ◽  
Keyword(s):  
Computer Technology ◽  
Teaching And Learning ◽  
Vocabulary Learning ◽  
Vocabulary Knowledge ◽  
Future Research ◽  
Computer Assisted ◽  
Computer Assisted Learning ◽  
Online Student ◽  
Question Format

Four papers by Clint Denison and Imogen Custance, Louis Lafleur, James Rogers, and Andrew Obermeier will be presented at the Eighth Annual JALT Vocabulary SIG Symposium in Tokyo, Japan, on September 20, 2020. The topics covered in the four papers are vocabulary learning using online student-created vocabulary lists, development of a flashcard program that manipulates the review schedule and question format, creation of a list of multi-word units based on corpora, and examination of the acquisition of declarative and tacit vocabulary knowledge from deliberate computer-assisted learning. This commentary briefly summarizes each study and offers suggestions for future research. All of the four studies exhibit how computer technology can be used to facilitate vocabulary research, teaching, and learning.

scholarly journals A REVIEW OF RECENT PAPERS ON ONLINE DISCUSSION IN TEACHING AND LEARNING IN HIGHER EDUCATION

2019 ◽  
Vol 9 (3) ◽  
Author(s):  
Michael Hammond
Keyword(s):  
Higher Education ◽  
Curriculum Design ◽  
Teaching And Learning ◽  
Online Discussion ◽  
Future Research ◽  
Online Forums ◽  
Computer Communication ◽  
Asynchronous Online Discussion ◽  
Design Software ◽  
Additional Value

This paper presents a review of a sample of recent case studies on the use of asynchronous online discussion in higher education. These studies are analyzed in terms of curriculum design, assumptions about teaching and learning, and claims and reported conditions for using online discussion. The claims made for asynchronous online discussion—in particular the opportunities for interaction between learners, and permanent access to these interactions—are found to be frequently based on social constructivist principles. Asynchronous online discussion is seen as offering additional value by providing learners with experience of computer communication tools and opportunities for taking part in group work. Several constraints on participation within online forums are described. These are discussed in relation to the nature of curriculum design, software design, tutor support, and learners’ attitudes and previous experience. The conditions under which asynchronous online discussion may best support learning are set out, and avenues for future research are suggested.

scholarly journals Analysis and Design of Sales Information System on Web-Based E-Commerce in Yoga Farm Catfish Breeding Business Using UML

2020 ◽  
Vol 4 (3) ◽  
pp. 683
Author(s):  
Muhamad Ridho Dwi Cahyo ◽  
Candiwan Candiwan
Keyword(s):  
Information System ◽  
Business Processes ◽  
Product Information ◽  
Small And Medium Enterprises ◽  
Unified Modeling Language ◽  
Future Research ◽  
Web Based ◽  
Unified Modeling ◽  
Analysis And Design ◽  
Medium Enterprises

Yoga Farm is a Micro, Small, and Medium Enterprises (MSME) that focuses on catfish breeding that is still doing business processes manually. With this process, information received by related parties is very difficult to obtain quickly. Therefore, the product is still not widely known, and customers are still few because the system used in sales and promotions still uses a manual system. The research method used is qualitative. This study aims to create a sales information system recommended at Yoga Farm and design using Unified modeling language (UML) for the recommended business processes. Customers will get product information in real-time, products can be widely recognized, and the number of Yoga Farm customers can increase. Based on the results of this study, adoption of a web-based sales information system can certainly make it easier to get the latest information quickly, can expand the market and can also facilitate customers in the transaction. For future research, this research can be used as a reference for conducting similar studies at other MSMEs to increase sales

scholarly journals Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design

2021 ◽  
Author(s):  
Aanchna Sharma ◽  
Tanmoy Mukhopadhyay ◽  
Sanjay Mavinkere Rangappa ◽  
Suchart Siengchin ◽  
Vinod Kushvaha
Keyword(s):  
Machine Learning ◽  
Polymer Composites ◽  
Relevant Literature ◽  
Future Research ◽  
Extensive Literature ◽  
Feature Identification ◽  
Predictive Tool ◽  
Analysis And Design ◽  
Increasing Demand ◽  
System Properties

Abstract The superior multi-functional properties of polymer composites have made them an ideal choice for aerospace, automobile, marine, civil, and many other technologically demanding industries. The increasing demand of these composites calls for an extensive investigation of their physical, chemical and mechanical behavior under different exposure conditions. Machine learning (ML) has been recognized as a powerful predictive tool for data-driven multi-physical modeling, leading to unprecedented insights and exploration of the system properties beyond the capability of traditional computational and experimental analyses. Here we aim to abridge the findings of the large volume of relevant literature and highlight the broad spectrum potential of ML in applications like prediction, optimization, feature identification, uncertainty quantification, reliability and sensitivity analysis along with the framework of different ML algorithms concerning polymer composites. Challenges like the curse of dimensionality, overfitting, noise and mixed variable problems are discussed, including the latest advancements in ML that have the potential to be integrated in the field of polymer composites. Based on the extensive literature survey, a few recommendations on the exploitation of various ML algorithms for addressing different critical problems concerning polymer composites are provided along with insightful perspectives on the potential directions of future research.

scholarly journals NETWORK MODELLING AND SEMANTIC 3D CITY MODELS: TESTING THE MATURITY OF THE UTILITY NETWORK ADE FOR CITYGML WITH A WATER NETWORK TEST CASE

2018 ◽  
Vol IV-4 ◽  
pp. 13-20 ◽  
Author(s):  
I. Boates ◽  
G. Agugiaro ◽  
A. Nichersu
Keyword(s):  
Relational Database ◽  
Data Model ◽  
Database Schema ◽  
Future Research ◽  
Physical Parameters ◽  
Test Case ◽  
Network Modelling ◽  
Complex Development ◽  
Relational Database Schema ◽  
Utility Network

<p><strong>Abstract.</strong> Recent advances in semantic 3D city modelling and a demand from utility network operators for multi-utility data models integration have contributed to the emergence of an open Application Domain Extension (ADE) of the CityGML data model tailored to multiple types of utility networks. This extension, called the Utility Network ADE, is still in active development. However, work is already well underway to create data samples and to develop methods of modelling thereupon. In this paper, a mapping of the Utility Network ADE data model to a relational database schema is introduced. A sample of a freshwater network using the Utility Network ADE and based on data from the city of Nanaimo, Canada, is also presented. This sample has also been imported into a relational database schema built upon the 3DCityDB (a database implementation of CityGML) extended with a schema of the Utility Network ADE. Further to this, a series of basic network analysis functions have been defined and implemented in SQL to interact with the database so as to carry out sample atomic processes involved in network modelling, such as reading semantic properties of elements, calculating composite physical parameters of the network as a whole, and performing simple topological routing to serve as a guiding example for further and more complex development. A brief outlook is also presented, suggesting areas with high potential for future research and development of this nascent data model.</p>

scholarly journals Multidimensional Space Structure for Adaptable Data Model

2019 ◽  
Vol 8 (3) ◽  
pp. 7753-7758
Keyword(s):  
Data Model ◽  
Cartesian Product ◽  
Data Representation ◽  
Space Structure ◽  
Automated System ◽  
Relational Model ◽  
Multidimensional Data ◽  
Multidimensional Space ◽  
Model Based ◽  
Five Axes

The article presents an adaptable data model based on multidimensional space. The main difference between a multidimensional data representation and a table representation used in relational Database Management Systems (DBMSs) is that it is possible to add new elements to sets defining the axes of multidimensional space at any time. This changes the data model. The tabular representation of the relational model does not allow you to change the model itself during the operation of an automated system. Three levels of multidimensional data presentation space are considered. There are axis of multidimensional space, the Cartesian product of the sets of axis values and the values of space points. The five axes of multidimensional space defined in the article (entities, attributes, identifiers, time, modifiers) are basic for the design of an adaptable automated system. It is shown that it is possible to use additional axes for greater granularity of the stored data. The multidimensional space structure defined in the article for an adaptable data model is a flexible set for storing a relational domain model. Two types of operations in multidimensional information space are defined. Relations of the relational model are formed dynamically depending on the conditions imposed on the coordinates of the points. Thus, an adaptable data representation model based on multidimensional space can be used to create flexible dynamic automated information systems.

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