A Model for Performance-Intelligent Design Advisors

1993 ◽  
Author(s):  
R. Grant Reed ◽  
Robert H. Sturges
Keyword(s):  
Intelligent Design ◽  
Specific Design ◽  
Design Information ◽  
Domain Specific ◽  
Computer Based ◽  
Level Design ◽  
And Performance ◽  
High Level ◽  
Level Performance ◽  
Inputs And Outputs

Abstract We consider a design advisor to be performance-intelligent when its suggestions do not conflict with high level performance-related goals of the design under study. We address the problem of representing non-domain-specific design Information at a high level and describe coupling it to the inputs and outputs of design critics and their suggestion mechanisms. High level design Information represented in a function-based structure with linked allocations is shown to interact with a domain-specific design critic in three instances, viz.: allocation refinement, goal matching with a supported function, and performance-intelligent tradeoffs. Examples of manual and computer-based procedures are discussed.

A Novel Application of Gamification for Collecting High-Level Design Information

2015 ◽  
Author(s):  
Hyunmin Cheong ◽  
Wei Li ◽  
Francesco Iorio
Keyword(s):  
User Study ◽  
Design Knowledge ◽  
Cad Systems ◽  
Design Information ◽  
Knowledge Based ◽  
Game Mechanics ◽  
Abstract Level ◽  
Level Problem ◽  
Level Design ◽  
High Level

This paper presents a novel application of gamification for collecting high-level design descriptions of objects. High-level design descriptions entail not only superficial characteristics of an object, but also function, behavior, and requirement information of the object. Such information is difficult to obtain with traditional data mining techniques. For acquisition of high-level design information, we investigated a multiplayer game, “Who is the Pretender?” in an offline context. Through a user study, we demonstrate that the game offers a more fun, enjoyable, and engaging experience for providing descriptions of objects than simply asking people to list them. We also show that the game elicits more high-level, problem-oriented requirement descriptions and less low-level, solution-oriented structure descriptions due to the unique game mechanics that encourage players to describe objects at an abstract level. Finally, we present how crowdsourcing can be used to generate game content that facilitates the gameplay. Our work contributes towards acquiring high-level design knowledge that is essential for developing knowledge-based CAD systems.

scholarly journals Design opportunity conception using the total technology space map

2018 ◽  
Vol 32 (4) ◽  
pp. 449-461 ◽  
Author(s):  
Jianxi Luo ◽  
Binyang Song ◽  
Lucienne Blessing ◽  
Kristin Wood
Keyword(s):  
Marketing Research ◽  
User Studies ◽  
Patent Data ◽  
Patent Retrieval ◽  
Fuzzy Front End ◽  
Domain Specific ◽  
Front End ◽  
Level Design ◽  
Interactive Map ◽  
High Level

AbstractTraditionally, design opportunities and directions are conceived based on expertise, intuition, or time-consuming user studies and marketing research at the fuzzy front end of the design process. Herein, we propose the use of the total technology space map (TSM) as a visual ideation aid for rapidly conceiving high-level design opportunities. The map is comprised of various technology domains positioned according to knowledge proximity, which is measured based on a large quantity of patent data. It provides a systematic picture of the total technology space to enable stimulated ideation beyond the designer's knowledge. Designers can browse the map and navigate various technologies to conceive new design opportunities that relate different technologies across the space. We demonstrate the process of using TSM as a rapid ideation aid and then analyze its applications in two experiments to show its effectiveness and limitations. Furthermore, we have developed a cloud-based system for computer-aided ideation, that is, InnoGPS, to integrate interactive map browsing for conceiving high-level design opportunities with domain-specific patent retrieval for stimulating concrete technical concepts, and to potentially embed machine-learning and artificial intelligence in the map-aided ideation process.

Human Cognitive Processes

2009 ◽  
pp. 1-33
Author(s):  
Slava Kalyuga
Keyword(s):  
Working Memory ◽  
Cognitive Architecture ◽  
Human Cognition ◽  
Long Term Memory ◽  
Domain Specific ◽  
Knowledge Based ◽  
Domain Specific Knowledge ◽  
And Performance ◽  
Memory Knowledge ◽  
High Level

One of the major components of our cognitive architecture, working memory, becomes overloaded if more than a few chunks of information are processed simultaneously. For example, we all experience this cognitive overload when trying to keep in memory an unfamiliar telephone number or add two four-digit numbers in the absence of a pen and paper. Similar in nature processing limitations of working memory represent a major factor influencing the effectiveness of human learning and performance, particularly in complex environments that require concurrent performance of multiple tasks. The learner prior domain-specific knowledge structures and associated levels of expertise are considered as means of reducing these limitations and guiding high-level knowledge-based cognitive activities. One of the most important results of studies in human cognition is that the available knowledge is a single most significant learner cognitive characteristic that influences learning and cognitive performance. Understanding the key role of long-term memory knowledge base in our cognition is important to the successful management of cognitive load in multimedia learning.

MATADOR: AN EXPLORATION ENVIRONMENT FOR SYSTEM-DESIGN

2002 ◽  
Vol 11 (05) ◽  
pp. 503-535 ◽  
Author(s):  
PAUL MARCHAL ◽  
MURALI JAYAPALA ◽  
SAMUEL XAVIER DE SOUZA ◽  
PENG YANG ◽  
FRANCKY CATTHOOR ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Memory Hierarchy ◽  
Real Life ◽  
Simulation Environment ◽  
Design Methodologies ◽  
Level Design ◽  
And Performance ◽  
High Level ◽  
Instruction Memory ◽  
Task Level

We present a modular platform simulation environment to estimate the energy consumption and performance of distributed systems in a Systems-on-Chip context. We use the simulation environment to support the development of our high-level design methodologies. More in particular, we steer and verify the development of a task-level data transfer and storage methodology, the development of a task-level scheduling methodology and the development of an instruction memory management methodology. All of these methodologies are focussed on reducing the overall energy consumption of the complex dynamic system on a heterogeneous platform architecture. Compared to research in the academic and industrial context, our contribution is to integrate in a scalable way existing energy and performance simulators of the components of a heterogeneous multiprocessor SoC. Also a novel instruction memory hierarchy is included. The simulation environment consists of multiple processing nodes connected to a distributed memory hierarchy. To reduce the energy consumption of the system, both the processing nodes as well as the memory architecture can be varied: the processing voltage of each node can be tuned and the memory hierarchy can be fully customized. The integration of dynamic real-time applications on this platform is simplified by the availability of a multi-processor RTOS. The use of the simulator to develop our high-level design methodologies is illustrated on real-life multimedia applications.

High level performance model and performance comparison for multistatic radar system design

2015 ◽  
Author(s):  
V. Janse van Rensburg ◽  
W.A.J. Nel ◽  
J.E. Cilliers ◽  
U. Boniger ◽  
U. Siegenthaler ◽  
...  
Keyword(s):  
System Design ◽  
Performance Comparison ◽  
Radar System ◽  
Performance Model ◽  
And Performance ◽  
High Level ◽  
Multistatic Radar ◽  
Level Performance

Ontology-based design information extraction and retrieval

2007 ◽  
Vol 21 (2) ◽  
pp. 137-154 ◽  
Author(s):  
ZHANJUN LI ◽  
KARTHIK RAMANI
Keyword(s):  
Information Retrieval ◽  
Language Processing ◽  
Critical Issue ◽  
Specific Design ◽  
Design Information ◽  
Design Concepts ◽  
Domain Specific ◽  
Challenges And Opportunities ◽  
Design Documents ◽  
Structured Representation

Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual design documents being generated has exploded. The availability of such extensive document resources has created new challenges and opportunities for research. These include improving design information retrieval to achieve a more coherent environment for design exploration, learning, and reuse. One critical issue is related to the construction of a structured representation for indexing design documents that record engineers' ideas and reasoning processes for a specific design. This representation should explicitly and accurately capture the important design concepts as well as the relationships between these concepts so that engineers can locate their documents of interest with less effort. For design information retrieval, we propose to use shallow natural language processing and domain-specific design ontology to automatically construct a structured and semantics-based representation from unstructured design documents. The design concepts and relationships of the representation are recognized from the document based on the identified linguistic patterns. The recognized concepts and relationships are joined to form a concept graph. The integration of these concept graphs builds an application-specific design ontology, which can be seen as the structured representation of the content of the corporate document repository, as well as an automatically populated knowledge base from previous designs. To improve the performance of design information retrieval, we have developed ontology-based query processing, where users' requests are interpreted based on their domain-specific meanings. Our approach contrasts with the traditionally used keyword-based search. An experiment to test the retrieval performance is conducted by using the design documents from a product design scenario. The results demonstrate that our method outperforms the keyword-based search techniques. This research contributes to the development and use of engineering ontology for design information retrieval.

scholarly journals A Proposed Criteria for Evaluting Cloud based Systems

2014 ◽  
Vol 13 (3) ◽  
pp. 4281-4290
Author(s):  
Sururah Apinke Bello
Keyword(s):  
Cloud Computing ◽  
Open Systems ◽  
Application Programming Interface ◽  
Domain Specific ◽  
Starting Point ◽  
Cloud Providers ◽  
Level Information ◽  
Application Programming ◽  
And Performance ◽  
High Level

A number of Cloud Providers have sprung up with different offers ranging from providing instances that looks much like physical hardware to application domain-specific offers. This study intends to propose a set of review criteria to evaluate existing Cloud computing providers to high level information about this emerging way of IT provisioning. Existing Cloud providers in the Iaas, Paas and SaaS were considered using, Architecture, Application Programming Interface, User Interface, Security, Fault tolerance and Scalability, Software implementation, Monitoring, Payment and Performance. This study is to assist Cloud users and researchers in making important decision in using Cloud Systems. The study exposed a refined method of further classification of Cloud based System. The classification will enable users to know open systems that are readily available for research, commercial systems for big projects and also be a good starting point for new comers into Cloud Computing environment.

R2D: A FRAMEWORK FOR THE RELATIONAL TRANSFORMATION OF RDF DATA

2009 ◽  
Vol 03 (04) ◽  
pp. 471-498 ◽  
Author(s):  
SUNITHA RAMANUJAM ◽  
ANUBHA GUPTA ◽  
LATIFUR KHAN ◽  
BHAVANI THURAISINGHAM ◽  
STEVEN SEIDA
Keyword(s):  
Data Storage ◽  
Graph Model ◽  
Data Representation ◽  
Transformation Process ◽  
Relational Schema ◽  
Domain Specific ◽  
Rdf Data ◽  
Description Framework ◽  
And Performance ◽  
High Level

The astronomical growth of the World Wide Web has resulted in data explosion that in turn has given rise to a need for data representation methodologies and standards to present required information in a rapid and automated manner. The Resource Description Framework (RDF) is one such standard proposed by W3C to address the above need. The ubiquitous acceptance of RDF on the Internet has resulted in the emergence of a new data storage paradigm, the RDF Graph Model, which, as with any data storage methodology, requires data modeling and visualization tools to aid with data management. This paper presents R2D (RDF-to-Database), a relational wrapper for RDF Data Stores, which aims to transform, at run-time, semi-structured RDF data into an equivalent domain-specific relational schema, thereby bridging the gap between RDF and RDBMS concepts and making the abundance of relational tools currently in the market available to the RDF Stores. The primary R2D functionalities and mapping constructs, the high-level system architecture, and deployment flowchart are presented along with algorithms and performance graphs for every stage of the transformation process and screenshots of a relational visualization tool using R2D as evidence of the feasibility of the proposed work.

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