Assessing the Use of Function Models and Interaction Models Through Concept Sketching

Author(s):  
Benjamin W. Caldwell ◽  
Raveesh Ramachandran ◽  
Gregory M. Mocko

Functional representations are often used in the conceptual stages of design because they encourage the designer to focus on the intended use and purpose of a system rather than the physical solution. Function models have been proposed by many researchers as a tool to expand the solution search space and guide concept generation, and many design tools have been created to support function-based design. These tools require designers to create function models of new or existing artifacts, but there is limited published research describing the level of functional detail that should be included in a model or the appropriate level of abstraction to model artifacts. Further, there is limited experimental evidence that designers use function models when generating concepts, and controlled experiments in the literature have focused on ideation rather than function models. Therefore, this research focuses on how artifacts should be modeled to guide concept generation in conceptual design. In this research, three artifact representations are studied: function models, interaction models, and pruned function models. A user study was conducted in which participants were asked to design a new device based on a problem statement, a set of requirements, and a treatment. Participants were randomly assigned a treatment of a function model, interaction model, pruned model, or no model. A conformance metric was developed to measure the extent to which participants used a model when generating concept sketches. The results show that the functional conformance of participants using a pruned model is approximately 40% higher than that of participants using a function model. These results demonstrate that the use of a specific level of functional detail improves the use of functions within the model for concept generation.

Author(s):  
Raveesh Ramachandran ◽  
Benjamin W. Caldwell ◽  
Gregory M. Mocko

Function modeling is often performed during the conceptual design phase to identify what the product must do in a solution independent form. However, function-based design approaches do not adequately enable designers to capture and analyze the non-functional requirements, interactions between the product of interest and other products and interactions between the product of interest and human users. This paper presents the results of a user study to evaluate how two models: (1) traditional function models (FM) and (2) the function interaction model (FIM), relate to functional and non-functional engineering requirements, and how they affect the creation of design solutions. Forty students were divided into two groups and asked to generate solutions for a design problem using either the function model (FM) or the function interaction model (FIM). The concepts were then evaluated in terms of quantity and quality by an external panel. Results from this study indicate that the quantity of solutions generated by the function model (FM) group is greater than the function interaction model (FIM) group. However, the quality of design concepts from the function interaction model (FIM) group is greater than the function model (FM) group. Further, nonfunctional requirements that are important to the design solutions cannot be captured in function model and thus are not reflected in the associated solution concepts.


Author(s):  
Suryaji R. Bhonsle ◽  
Paul Thompson

Abstract Weibull, log normal, and some other Distribution function models (D.F.M.) have a tendency to deviate from experimental results. This deviation, either exceedingly conservative or nonconservative, is amplified at low probabilities of failure. To remedy such problems a new D.F.M. is derived. It is then used to predict low probabilities of failure. The predictions are consistent with experimental data and are not too conservative or too nonconservative.


Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 50-58
Author(s):  
M. Buinevich ◽  
P. Kurta

Research subject. Information interaction of the user with the information system. Objective. Improving the efficiency of user interaction with the information system to solve the main problem by customizing its interface and work script. Core results. The proposed methodology of scientific research aimed at achieving the goal, and consisting of 3 steps. As a result of each of them, the following main scientific results are expected to be obtained: interaction model, interaction assessment method, interaction optimization method. Also, it is expected to obtain private scientific results: the classification of the disadvantages of interaction, the influence of its parameters on the final efficiency, the architecture of the interface and scenario optimization system. Main conclusions. The proposed research scheme is scientifically correct and allows you to conduct a fullfledged scientific research and achieve the goal of the work. As a result, a method and a software tool will be developed that will make it possible to adjust a specific interface and a scenario for its work according to its own performance criteria - potency, operativeness and resource efficiency; at the same time, the general logic of solving the problem by the information system will remain unchanged.


2019 ◽  
Vol 208 ◽  
pp. 08013
Author(s):  
M. Amenomori ◽  
X. J. Bi ◽  
D. Chen ◽  
T. L. Chen ◽  
W. Y. Chen ◽  
...  

A hybrid experiment has been started by the ASγ experiment at Yangbajing (4300m a.s.l.) in Tibet since May 2009, that consists of a high-energy air-shower-core array (YAC-I) and a high-density air-shower array (Tibet-III). In this paper, we report our results to check the hadronic interaction models SIBYLL2.3, SIBYLL2.1, EPOS-LHC and QGSJETII-04 in the multi-tens TeV energy region using YAC-I+Tibet-III experimental data from May 2009 through January 2010. The effective live time is calculated as 106.05 days. The results show that the description of transverse momentum, inelastic cross-section and inelasticity for the 4 hadronic interaction models is consistent with YAC-I experimental data within 15% systematic errors range in the forward region below 100 TeV. Among them, the EPOS-LHC model is the best hadronic interaction model. Furthermore, we find that the H4a composition model is the best one below the 100 TeV energy region.


2019 ◽  
Vol 210 ◽  
pp. 02012
Author(s):  
R. Takeishi

One of the uncertainties in ultrahigh energy cosmic ray (UHECR) observation derives from the hadronic interaction model used for air shower Monte-Carlo (MC) simulations. One may test the hadronic interaction models by comparing the measured number of muons observed at the ground from UHECR induced air showers with the MC prediction. The Telescope Array (TA) is the largest experiment in the northern hemisphere observing UHECR in Utah, USA. It aims to reveal the origin of UHECRs by studying the energy spectrum, mass composition and anisotropy of cosmic rays by utilizing an array of surface detectors (SDs) and fluorescence detectors. We studied muon densities in the UHE extensive air showers by analyzing the signal of TA SD stations for highly inclined showers. On condition that the muons contribute about 65% of the total signal, the number of particles from air showers is typically 1.88 ± 0.08 (stat.) ± 0.42 (syst.) times larger than the MC prediction with the QGSJET II-03 model for proton-induced showers. The same feature was also obtained for other hadronic interaction models, such as QGSJET II-04.


Author(s):  
Rajarishi Sinha ◽  
Christiaan J. J. Paredis ◽  
Pradeep K. Khosla

Abstract We present a simulation and design framework for simultaneously designing and modeling electromechanical systems. By instantiating component objects in our software and connecting them to each other via ports, the designer configures complex systems. Interactions are the physical phenomena that occur at the interfaces between connected components. Most of the research in configuration design has focused on modeling components, with very little attention paid to the dynamics of the interaction phenomena. To obtain an accurate virtual prototype, the interaction dynamics must also be captured in behavioral models. All interactions between components are mediated by ports. We introduce port and interaction model taxonomies, and provide a set-theoretic formalism that defines the algebra of port and interaction models. In addition, the formalism supports automatic instantiation of interaction models given the types of the connected ports, as well as the ability to replace one interaction model for another depending on the requirements of the desired simulation experiment. We illustrate our framework with an example.


2019 ◽  
Vol 11 (3) ◽  
pp. 230-230
Author(s):  
Wenqi Xu ◽  
Jiahui Li ◽  
Bowen Rong ◽  
Bin Zhao ◽  
Mei Wang ◽  
...  

The author would like to add the below information in this correction. A similar study from Chao Lu group was published online on 5 September 2019 in Nature, entitled “The histone mark H3K36me2 recruits DNMT3A and shapes the intergenic DNA methylation landscape” (Weinberg et al., 2019). Although both the studies reported the preferential recognition of H3K36me2 by DNMT3A PWWP, ours in addition uncovered a stimulation function by such interaction on the activity of DNMT3A. On the disease connections, we used a NSD2 gain-of-function model which led to the discovery of potential therapeutic implication of DNA inhibitors in the related cancers, while the other study only used NSD1 and DNMT3A loss-of-function models.


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Jihuan Han ◽  
Chenchen Hu ◽  
Jiuqun Zou

As a common geological disaster, surface subsidence caused by mining underground resources has always been a hot and difficult topic in the civil engineering field. Aimed at the shortcomings of existing time function models in predicting mining subsidence in deep soil strata, a more accurate and reasonable time function model, called the composite function model, was established based on an inverted analysis of measured data. The results showed that the composite function model could describe the whole subsidence process of a deep soil surface and agreed well with the measured data. The model parameters were calculated by specific formulas, which improved the reliability of the subsidence prediction results under different mining conditions. The new model provided important guiding significance for preventing subsidence geological disasters and determining the coal mining time under the buildings, the railways, and the water bodies in deep soil strata.


1982 ◽  
Vol 19 ◽  
Author(s):  
J.N. Pratt ◽  
I.P. Jones

ABSTRACTThe use of simple nearest neighbour pair-wise interaction models for the description of the thermodynamic properties of ordered alloys is reviewed and extended to the treatment of phases containing several sublattices. Employing individual sublattice occupation parameters to define atomic distributions, enthalpies corresponding to these are described by the summation of pair-wise interaction energies over all the resulting first co-ordination shell neighbours. Invariant like and unlike bond energies are assumed, their respective values being estimated using heats of vaporisation of the elements and a heat of formation of the phase at a single composition. Combination of the enthalpies with corresponding configurational entropies yields an expression for the free energy of the phase which may be minimised with respect to variation of the sublattice occupation parameters. This leads to the prediction of the stable atomic distributions and the variation of these and the thermodynamic properties with composition. The application of the model to sigma phases and other multi-sublattice structures is discussed


1977 ◽  
Vol 9 (9) ◽  
pp. 1067-1079 ◽  
Author(s):  
S Openshaw ◽  
C J Connolly

The relationship between the choice of deterrence function and the goodness of fit of a singly constrained spatial interaction model is examined as a basis for improving model performance. The results show that there is no significant improvement in model goodness of fit until a deterrence-function characterisation is used which is based on a family of functions, with the spatial domain of each function being determined in an approximately optimal manner. These findings are consistent with theoretical research on microlevel trip behaviour and can be used to identify descriptive models which possess maximum levels of performance.


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