A Study of Kansei Engineering in PET Bottle Silhouette

2011 ◽  
Author(s):  
Khusnun Widiyati ◽  
Hideki Aoyama
Keyword(s):  
Shape Parameter ◽  
Taguchi Methods ◽  
Emotional Attachment ◽  
Kansei Engineering ◽  
Shape Parameters ◽  
Pet Bottles ◽  
Emotional Evaluation ◽  
Physical Attributes ◽  
Artificial Neural Network Ann ◽  
The Many

Today’s customers see the product not only based on its functionality and its value, but also based on its aesthetic view. And from day to day, the level of consumers’ aesthetic satisfaction is advanced. Companies have to struggle in recognizing and feeding the customers with higher and higher level of aesthetics design, in order to win the competition. Kansei Engineering is a powerful tool during product designs that analyze the design in relation with consumers’ feeling toward the product. In this saturated market, moreover, the application of Kansei Engineering might be a way out to provide a product emotionally attached to the customers’ feeling. PET bottles, particularly bottles distributed in Japan, is an example of “everyday-beverage-container” which has many variations in the shape. Among the many product attributes, product form/shape is one of the product attribute that can attract emotional attachment to the customer. In this paper, physical attributes of PET bottle which evoke consumers to have certain emotional attachment were evaluated using Kansei Engineering. In order to do this, 18 models of PET bottle generated using Taguchi Methods, and 9 emotional evaluation words were applied in a questionnaire. By using Taguchi Methods, important shape parameters that evoke customer to certain emotional feeling were identified. Validation to the Taguchi Methods’ finding was validated using Artificial Neural Network (ANN). The validation was performed by mapping the Kansei/emotional space to shape parameter space. Evaluation towards the result from Taguchi Methods and ANN was performed. Comparison between Taguchi Methods’ and ANN’s result showed that both result were correlated.

scholarly journals Local Convexity-PreservingC2Rational Cubic Spline for Convex Data

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Abbas ◽  
Ahmad Abd Majid ◽  
Jamaludin Md. Ali
Keyword(s):  
Shape Parameter ◽  
Cubic Spline ◽  
Convex Curve ◽  
Shape Feature ◽  
Local Convexity ◽  
Shape Parameters ◽  
Numerical Examples ◽  
2D Data ◽  
Industrial Demand ◽  
Made In

We present the smooth and visually pleasant display of 2D data when it is convex, which is contribution towards the improvements over existing methods. This improvement can be used to get the more accurate results. An attempt has been made in order to develop the local convexity-preserving interpolant for convex data usingC2rational cubic spline. It involves three families of shape parameters in its representation. Data dependent sufficient constraints are imposed on single shape parameter to conserve the inherited shape feature of data. Remaining two of these shape parameters are used for the modification of convex curve to get a visually pleasing curve according to industrial demand. The scheme is tested through several numerical examples, showing that the scheme is local, computationally economical, and visually pleasing.

scholarly journals Geometric Modeling Using New Cubic Trigonometric B-Spline Functions with Shape Parameter

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2102
Author(s):  
Abdul Majeed ◽  
Muhammad Abbas ◽  
Faiza Qayyum ◽  
Kenjiro T. Miura ◽  
Md Yushalify Misro ◽  
...  
Keyword(s):  
Geometric Modeling ◽  
Shape Parameter ◽  
3D Models ◽  
Basis Functions ◽  
Shape Parameters ◽  
B Spline ◽  
Spline Curves ◽  
Spline Basis ◽  
Cubic Polynomial ◽  
2D And 3D

Trigonometric B-spline curves with shape parameters are equally important and useful for modeling in Computer-Aided Geometric Design (CAGD) like classical B-spline curves. This paper introduces the cubic polynomial and rational cubic B-spline curves using new cubic basis functions with shape parameter ξ∈[0,4]. All geometric characteristics of the proposed Trigonometric B-spline curves are similar to the classical B-spline, but the shape-adjustable is additional quality that the classical B-spline curves does not hold. The properties of these bases are similar to classical B-spline basis and have been delineated. Furthermore, uniform and non-uniform rational B-spline basis are also presented. C3 and C5 continuities for trigonometric B-spline basis and C3 continuities for rational basis are derived. In order to legitimize our proposed scheme for both basis, floating and periodic curves are constructed. 2D and 3D models are also constructed using proposed curves.

Mimetic Dynamics

1998 ◽  
Vol 3 (3) ◽  
pp. 211-218
Author(s):  
Natasha Barrett ◽  
Oyvind Hammer
Keyword(s):  
Natural World ◽  
New Techniques ◽  
Interactive Installation ◽  
The Past ◽  
Recent Developments ◽  
Physical Attributes ◽  
The Many ◽  
Physical Laws ◽  
The Relationship ◽  
Current Paradigm

The ‘art’ we produce today attempts to incorporate an increasing level of computer technology. There are many reasons for this trend, the most significant being a thirst for an exploration of the ‘new’, and the desire to parallel the increasing level of technology seeping into everyday life. However, when surveying recent developments we find an array of technology-related arts projects that instead of reaching forward into the previously unknown, often reproduce the past simply in a digital form, designed to appeal to our immediate senses but lacking in depth and substance. Likewise, it can be observed that in many cultures (ancient and modern), mimesis grows out of what seems to be a human reaction to technological change. Qualities familiar from past usage tend to be reproduced in new materials and with new techniques, regardless of appropriateness. This may have religious origins, or simply result from inertia, reworking concepts within the current paradigm. Parallels can be drawn from evolution, which can be observed to progress in a series of large advancements alternating with periods of extremely slow or zero development (Eldredge and Gould 1972), and from the progress of science, which seems to be similarly stepped (Kuhn 1962).This paper describes Mimetric Dynamics – an audiovisual interactive installation exploring one of the many possible relationships between nature and technology. In this work, real and simulated fluid dynamics are presented simultaneously, allowing both artist and viewer to explore the relationship between ‘digital’ and ‘analogue’ media in both sound and visual dimensions. It gains insight from physical laws and time flows derived from the natural world, where digital technology is used to produce mathematical models simulating real physical attributes. In doing so we are able to harness qualities of the ‘natural’ and use their characteristics to control aspects of the ‘artificial’ (virtual).

scholarly journals Modeling of hourly river water temperatures using artificial neural networks

2014 ◽  
Vol 49 (2) ◽  
pp. 144-162 ◽  
Author(s):  
Cindie Hebert ◽  
Daniel Caissie ◽  
Mysore G. Satish ◽  
Nassir El-Jabi
Keyword(s):  
Water Temperature ◽  
Coefficient Of Determination ◽  
Ann Model ◽  
Air Temperatures ◽  
Level Data ◽  
Water Level Data ◽  
Ann Models ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
The Many

Water temperature is an important component for water quality and biotic conditions in rivers. A good knowledge of river thermal regime is critical for the management of aquatic resources and environmental impact studies. The objective of the present study was to develop a water temperature model as a function of air temperatures, water temperatures and water level data using artificial neural network (ANN) techniques for two thermally different streams. This model was applied on an hourly basis. The results showed that ANN models are an effective modeling tool with overall root-mean-square-error of 0.94 and 1.23 °C, coefficient of determination (R2) of 0.967 and 0.962 and bias of −0.13 and 0.02 °C, for Catamaran Brook and the Little Southwest Miramichi River, respectively. The ANN model performed best in summer and autumn and showed a poorer performance in spring. Results of the present study showed similar or better results to those of deterministic and stochastic models. The present study shows that the predicted hourly water temperatures can also be used to estimate the mean and maximum daily water temperatures. The many advantages of ANN models are their simplicity, low data requirements, their capability of modeling long-term time series as well as having an overall good performance.

scholarly journals ARTIFICIAL NEURAL NETWORKS FOR PREDICTING THE GENERATION OF ACETALDEHYDE IN PET RESIN IN THE PROCESS OF INJECTION OF PLASTIC PACKAGES

2021 ◽  
Vol 9 (6) ◽  
pp. 97-119
Author(s):  
Mauro Reis Nascimento ◽  
David Barbosa de Alencar ◽  
Manoel Henrique Reis Nascimento ◽  
Carlos Alberto Monteiro
Keyword(s):  
Decision Making ◽  
Strategic Decision ◽  
Drying Temperature ◽  
Pet Bottles ◽  
Injection Process ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Method Analysis ◽  
Plastic Injection

The industrial production of preforms for the manufacture of PET bottles, during the plastic injection process, is essential to regulate the drying temperature of the PET resin, to control the generation of Acetaldehyde (ACH), which alters the flavor of carbonated or non-carbonated drinks, giving the drink a citrus flavor and putting in doubt the quality of packaged products. In this work, an Artificial Neural Network (ANN) of the Backpropagation type (Cascadeforwardnet) is specified to support the decision-making process in controlling the ideal drying temperature of the PET resin, allowing specialists to make the necessary temperature regulation decisions  for the best performance by decreasing ACH levels. The materials and methods were applied according to the manufacturer's characteristics on the moisture in the PET resin grain, which may contain between 50 ppm and 100 ppm of ACH. Data were collected for the method analysis, according to temperatures and residence times used in the blow injection process in the manufacture of the bottle preform, the generation of ACH from the PET bottle after solid post-condensation stage reached residual ACH levels below (3-4) ppm, according to the desired specification, reaching levels below 1 ppm. The results found through the Computational Intelligence (IC) techniques applied by the ANNs, where they allowed the prediction of the ACH levels generated in the plastic injection process of the bottle packaging preform, allowing an effective management of the parameters of production, assisting in strategic decision making regarding the use of temperature control during the drying process of PET resin.

Analysis for SCR Control System Based on ANN

2012 ◽  
Vol 591-593 ◽  
pp. 1428-1431
Author(s):  
Guan Qiang Ruan ◽  
Zheng Dong Zhang ◽  
Qiang Wang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Control System ◽  
Pid Controller ◽  
Design Principle ◽  
Robust Performance ◽  
Control Scheme ◽  
Rapid Adjustment ◽  
Artificial Neural Network Ann ◽  
The Many

Design principle of SCR control system for modern diesel engine is based on MAP which is obtained from experiments. The data of urea injection is obtained from MAP, the many experiments with different revolutions and loads are necessary. MAP from experiments is not accurate, cannot be used for all the range exactly in case of engine running conditions. Therefore, it is very difficult to design PID controller based on MAP. Moreover, the robust performance can not be achieved. To overcome these problems, the control scheme based on artificial neural network (ANN) is proposed. This controller has good robust performance and rapid adjustment. From experiments, the system using this controller can achieve good performance.

Entropies of Mixing (EOM) and the Lorenz Order

2006 ◽  
Vol 13 (01) ◽  
pp. 75-90 ◽  
Author(s):  
B. H. Lavenda
Keyword(s):  
Shannon Entropy ◽  
Power Distribution ◽  
Shape Parameter ◽  
Sufficient Conditions ◽  
Fractional Part ◽  
Concave Function ◽  
Value Theory ◽  
Invariant Distribution ◽  
Shape Parameters ◽  
Single Class

Polynomial nonadditive, or pseudo-additive (PAE), entropies are related to the Shannon entropy in that both are derived from two classes of parent distributions of extreme-value theory, the Pareto and power distributions. The third class is the exponential distribution, corresponding to the Shannon entropy, to which the other two tend as their shape parameters increase without limit. These entropies all belong to a single class of entropies referred to as EOM. EOM is defined as the normalized difference between the dual of the Lorentz function and the Lorenz function. Sufficient conditions for majorization involve finding a separable, Schur-concave function, like the EOM, which increases as the distribution becomes more uniform or less spread out. Lorenz ordering has been associated to the degree in which the Lorenz curve is bent. This criterion is valid for tail distributions, and fails in the case where the distribution is limited on the right. EOM provide criteria for inequality in the Lorenz ordering sense: In the Pareto case, an increase in the shape parameter implies a decrease in inequality and the EOM decreases, whereas for the power distribution an increase in the shape parameter corresponds to an increase in inequality leading to an increase in the EOM. An analogy is drawn between Gauss' invariant distribution for the probability of the fractional part of a continued fraction and the area criterion in Lorenz ordering, analogous to the Gini index criterion. The tendency to approach the invariant distribution, as the number of partial quotients increases without limit, is shown to be analogous to the tendency to approach the invariant area, as the shape parameters increase without limit.

scholarly journals Generalized Developable Cubic Trigonometric Bézier Surfaces

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 283
Author(s):  
Muhammad Ammad ◽  
Md Yushalify Misro ◽  
Muhammad Abbas ◽  
Abdul Majeed
Keyword(s):  
Shape Parameter ◽  
Surface Characteristics ◽  
Surface Shape ◽  
Shape Parameters ◽  
New Approach ◽  
Bézier Surface ◽  
Bezier Surface ◽  
Bézier Surfaces ◽  
Bezier Surfaces ◽  
Shape Adjustment

This paper introduces a new approach for the fabrication of generalized developable cubic trigonometric Bézier (GDCT-Bézier) surfaces with shape parameters to address the fundamental issue of local surface shape adjustment. The GDCT-Bézier surfaces are made by means of GDCT-Bézier-basis-function-based control planes and alter their shape by modifying the shape parameter value. The GDCT-Bézier surfaces are designed by maintaining the classic Bézier surface characteristics when the shape parameters take on different values. In addition, the terms are defined for creating a geodesic interpolating surface for the GDCT-Bézier surface. The conditions appropriate and suitable for G1, Farin–Boehm G2, and G2 Beta continuity in two adjacent GDCT-Bézier surfaces are also created. Finally, a few important aspects of the newly formed surfaces and the influence of the shape parameters are discussed. The modeling example shows that the proposed approach succeeds and can also significantly improve the capability of solving problems in design engineering.

scholarly journals Bayesian Estimation for the Parameters and Reliability Function of Basic Gompertz Distribution under Squared Log Error Loss Function

2020 ◽  
pp. 1433-1439
Author(s):  
Manahel Kh. Awad ◽  
Huda A. Rasheed
Keyword(s):  
Monte Carlo Simulation ◽  
Loss Function ◽  
Shape Parameter ◽  
Reliability Function ◽  
Shape Parameters ◽  
Likelihood Estimator ◽  
Gompertz Distribution ◽  
Mean Squared Errors ◽  
Error Loss ◽  
Bayesian Estimators

In this paper, some estimators for the unknown shape parameters and reliability function of Basic Gompertz distribution were obtained, such as Maximum likelihood estimator and some Bayesian estimators under Squared log error loss function by using Gamma and Jefferys priors. Monte-Carlo simulation was conducted to compare the performance of all estimates of the shape parameter and Reliability function, based on mean squared errors (MSE) and integrated mean squared errors (IMSE's), respectively. Finally, the discussion is provided to illustrate the results that are summarized in tables.

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