Characterizing Fine-Grained Associativity Gaps: A Preliminary Study of CAD-CAE Model Interoperability

Author(s):  
Russell S. Peak

This paper describes an initial study towards characterizing model associativity gaps and other engineering interoperability problems. Drawing on over a decade of X-analysis integration (XAI) research and development, it uses the XAI multirepresentation architecture (MRA) as a means to decompose the problem and guide identification of potential key metrics. A few such metrics are highlighted from the aerospace industry. These include number of structural analysis users, number of analysis templates, and identification of computing environment components (e.g., number of CAD and CAE tools used in an example aerospace electronics design environment). One problem, denoted the fine-grained associativity gap, is highlighted in particular. Today such a gap in the CAD-CAE arena typically requires manual effort to connect an attribute in a design model (CAD) with attributes in one of its analysis models (CAE). This paper estimates that 1 million such gaps exist in the structural analysis of a complex product like an airframe. The labor cost alone to manually maintain such gaps likely runs in the tens of millions of dollars. Other associativity gap costs have yet to be estimated, including overand underdesign, lack of knowledge capture, and inconsistencies. Narrowing in on fundamental gaps like fine-grained associativity helps both to characterize the cost of today’s problems and to identify basic solution needs. Other studies are recommended to explore such facets further.

Author(s):  
Irfan Uddin

The microthreaded many-core architecture is comprised of multiple clusters of fine-grained multi-threaded cores. The management of concurrency is supported in the instruction set architecture of the cores and the computational work in application is asynchronously delegated to different clusters of cores, where the cluster is allocated dynamically. Computer architects are always interested in analyzing the complex interaction amongst the dynamically allocated resources. Generally a detailed simulation with a cycle-accurate simulation of the execution time is used. However, the cycle-accurate simulator for the microthreaded architecture executes at the rate of 100,000 instructions per second, divided over the number of simulated cores. This means that the evaluation of a complex application executing on a contemporary multi-core machine can be very slow. To perform efficient design space exploration we present a co-simulation environment, where the detailed execution of instructions in the pipeline of microthreaded cores and the interactions amongst the hardware components are abstracted. We present the evaluation of the high-level simulation framework against the cycle-accurate simulation framework. The results show that the high-level simulator is faster and less complicated than the cycle-accurate simulator but with the cost of losing accuracy.


2011 ◽  
Vol 65 ◽  
pp. 160-164
Author(s):  
Na Li ◽  
Yi Guo

Distributed cooperative design is carried out by teams located at different places. The regional limitation must be overcome to facilitate information exchange, knowledge processing, and design result exchange, etc., among the teams. This paper proposes a multi-agent based model for cooperative design. The model consists of five types of agents according to cooperative design environment and design activities. Integrated fine grained security mechanism into different agents is the major feature of this model.


2021 ◽  
Author(s):  
Shuang Zhao ◽  
Hui Yang ◽  
Yaru Liu ◽  
Yaodong Xing ◽  
Guangwen Cui ◽  
...  

Rational design of non-noble metal electrocatalysts is an urgent task to lower the cost of electrocatalysts for methanol oxidation reaction (MOR). Herein, mesoporous Cu-Co3O4 electrocatalysts have been prepared by using...


Author(s):  
Saeema Ahmed ◽  
Luciënne Blessing ◽  
Ken Wallace

Abstract The aerospace industry, along with other industries, has acknowledged the need to bridge the experience gap between novice and experienced designers [Moore, 1997]. The research aims to identify the support a novice designer requires to gain experience faster. The focus of this paper is to present some initial results of a study of novice and experienced designers. This initial study highlighted the difficulty in establishing consistent and precise usage for the terms data, information and knowledge. It is concluded that data, information and knowledge are relative concepts that cannot be defined in absolute terms. As relative concepts, these help differentiate experts and novices, and different types of novices. The relationships between data, information and knowledge are examined with the aim of prompting a discussion.


2015 ◽  
Vol 16 (2) ◽  
pp. 15
Author(s):  
V. O. Igbineweka ◽  
J. K. Adeyemi

The paper evaluated implementation of the Universal Basic Education (UBE) scheme for the first ten years of implementation, 2002-2012. Pupil enrolment for the period was projected and the cost implication of implementing the scheme estimated to guide government assess its ability to continue the implementation of the scheme, review its strategies of implementation or even abandon the scheme like the previous experiment with UBE scheme. The two research questions raised for the study were answered using documentary analysis, models and descriptive statistics. The result of analysis showed that over 46 million children would have been enrolled in schools and N52.9 billion spent annually if the scheme had been effectively implemented. The sight of basic school-going aged children at motor parks, markets and hawking along major streets during school hours suggests that the implementation of the scheme has not effective. It was therefore recommended among others that government should concentrate only on the supply and management of basic education in order to garner adequate funds to sustain its implementation and, allow private individuals and non-governmental organizations to supply and manage other levels of education.


2021 ◽  
Vol 2 (3) ◽  
pp. 16-21
Author(s):  
Saeed Abbassi

Noise pollution caused by vehicle traffic is one of the major problems in urban areas with road expansion. Due to the increase in the cost of construction and installation of sound walls to deal with noise pollution, to deal with this problem should look for methods that do not have additional costs and operating costs. Improving the pavement texture is one of the most effective ways to reduce tire noise and pavement and reduce the asphalt surface’s sound. To evaluate the slip resistance of asphalt, the English pendulum test according to ASTM E303-74 standard was performed on wet parts of asphalt in wet conditions. This device is used to examine the fine texture of the pavement. The number of pavement friction with a negative coefficient of 0.1469 has an inverse ratio with the intensity of sound level increases the number of pavement friction aligned with the amount of sound level created decreases. On the other hand, the depth of pavement texture, which is determined as the size of pavement materials, with a coefficient of 0.2810, has a direct ratio with the amount of noise pollution, and the smaller the number of fine-grained materials used will increase the sound level. According to the results of the coefficients estimated from the equation, it can be concluded that the preparation of pavements with an amount of friction can reduce the amount of noise pollution emitted by the movement of vehicles, especially in urban areas and sensitive areas. Therefore, it is recommended that in acoustically sensitive areas, in preparing pavements, arrangements be made to use coarser materials and maintain proper pavement resistance. For this purpose, in this article, the pavement’s texture is examined in the amount of noise created due to the tire’s interaction and the pavement.


Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 611
Author(s):  
Cecilia Ciacci ◽  
Neri Banti ◽  
Vincenzo Di Naso ◽  
Frida Bazzocchi

In Italy in 2020, only 15.5% of school building heritage was retrofitted from an energy and environmental point of view. In this paper, the cost-optimal method was applied to two different school buildings belonging to the same Italian cold climate zone but characterized by different structural and technological solutions. The research aims at defining the cost-effective redevelopment solution among several ones proposed to apply to this building type. At the same time, this paper provides a critical analysis of the methodology applied, highlighting deficiencies related to a not proper evaluation of environmentally friendly retrofitting measures. In a cost-effective context, the main results show that the intervention on the heating system is more convenient than the retrofitting of the envelope. The energy saving is equal to about 35% for both considered schools. Among the different proposed requalification configurations, the adoption of PV (photovoltaic) electric generation is included. In this regard, an optimization procedure was implemented in a generative design environment to maximize energy production with reference to different design parameters. As a result, a solution with south oriented PV modules with a tilt angle of 42° and arranged in 0.7 m spaced rows proved to be the most effective.


1973 ◽  
Vol 1973 (1) ◽  
pp. 87-90
Author(s):  
P. O. Agnedal

ABSTRACT The increase in pollution by oil spills in the Baltic has lead to the Minister of Transport to set up a committee with the task to find methods for identifying ships responsible for oil spills. A preliminary study of the oil transport situation in Sweden had shown that the fingerprint method for identification will be difficult to use. The study also showed that microparticles of plastic and metal as tags might be used. In most cases the oil spills in the Baltic are due to pumping out residues mixed with ballast. In the present paper the merits of different methods for tagging these residues, including the cost aspect, are treated as well as identification of recovered oil samples. In a field experiment the oil residues in a tanker were tagged. Some of its tanks were tagged with plastic particles and some with metal particles. The tanks were treated in different ways for cleaning and the oil-water mixtures were then pumped out in the sea under controlled conditions. The different spills were kept inside an enclosure for a fortnight and samples were taken every day. In all analysed samples the tagged substance could be recovered and identified. A plan for testing this method on a larger scale is under preparation.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xuelian Yang ◽  
Jin Bai ◽  
Xiaolin Wang

With the development of Internet technology and social model, game products have become an important product of people’s life for entertainment and recreation, and the precise marketing of game products has become a winning means for enterprises to improve competitiveness and reduce labor cost consumption, and major game companies are also paying more and more attention to the data-based marketing model. How to dig out the effective information from the existing market behavior data is a powerful means to implement precise marketing. Achieving precise positioning and marketing of gaming market is the guarantee of innovative development of game companies. For the research on the above problem, based on the SEMAS process of data mining, this paper proposes a mining model based on recurrent neural network, which is named as Dynamic Attention GRU (DAGRU) with multiple dynamic attention mechanisms, and evaluates it on two self-built data sets of user behavior samples. The results demonstrate that the mining method can effectively analyze and predict the player behavior goals. The game marketing system based on data mining can indeed provide more accurate and automated marketing services, which greatly reduces the cost investment under the traditional marketing model and achieves accurate targeting marketing services and has certain application value.


2018 ◽  
Vol 28 (1) ◽  
pp. 67-132 ◽  
Author(s):  
Shahid Rahman ◽  
Muhammad Iqbal

AbstractOne of the epistemological results emerging from this initial study is that the different forms of co-relational inference, known in the Islamic jurisprudence as qiyās, represent an innovative and sophisticated form of reasoning that not only provides new epistemological insights into legal reasoning in general but also furnishes a fine-grained pattern for parallel reasoning which can be deployed in a wide range of problem-solving contexts and does not seem to reduce to the standard forms of analogical argumentation studied in contemporary philosophy of science. However, in the present paper we will only discuss the case of so-called co-relational inferences of the occasioning factor and only in the context of Islamic jurisprudence.


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