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Copyright of Cinta de Moebio is the property of Universidad de Chile, Facultad de Ciencas Sociales and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Business intelligence can be said to be techniques and tools as acquisition, transforming raw data into meaningful and useful information for business analysis purposes. This study aims to build business intelligence in optimizing large-scale data based on e-metrics. E-metrics are data created from electronic-based customer behavior. As more and more large data sets become available, the challenge of analyzing data sets will get bigger and bigger. Therefore, business intelligence is currently facing new challenges, but also interesting opportunities, where can describe in real time the needs of the market share. Optimization is done using adaptive multivariate regression that can be address high-dimensional data and produce accurate predictions of response variables and produce continuous models in knots based on the smallest GCV value, where large and diverse data are simplified and then modeled based on the level of behavior similarity, basic measurements of distances, attributes, times, places, and transactions between social actors. Customer purchases will represent each preferred behaviour and a formula can be used to calculate the score for each customer using 7 input variables. Adaptive multivariate regression looks for customer behaviour so as to get the results of cutting the deviation which is the determining factor for performance on the data. The results show there are strategies and information needed for a sustainable business. Wheremerchants who sell fast food or food stalls are more in demand by customers. [ABSTRACT FROM AUTHOR]

The location of knot points and estimation of the number of knots are undoubtedly known as one of the most difficult problems in B-Spline curve approximation. In the literature, different researchers have been seen to use more than one optimization algorithm in order to solve this problem. In this paper, Big Bang-Big Crunch method (BB-BC) which is one of the evolutionary based optimization algorithms was introduced and then the approximation of B-Spline curve knots was conducted by this method. The technique of reverse engineering was implemented for the curve knot approximation. The detection of knot locations and the number of knots were randomly selected in the curve approximation which was performed by using BB-BC method. The experimental results were carried out by utilizing seven different test functions for the curve approximation. The performance of BB-BC algorithm was examined on these functions and their results were compared with the earlier studies performed by the researchers. In comparison with the other studies, it was observed that though the number of the knot in BB-BC algorithm was high, this algorithm approximated the B-Spline curves at the rate of minor error. [ABSTRACT FROM AUTHOR]

Offshore wind farms are a key part of the UK government strategy to reduce carbon emissions and mitigate climate-change impacts; however, it is important to understand their potential impacts on wildlife. The majority of British and Irish Common Shelduck Tadorna tadorna undergo a moult migration to the Wadden Sea, passing wind farms in the southern North Sea en route. We conducted a review of ring-recovery data from the British and Irish Ringing Scheme and a pilot tracking study to inform understanding of migration routes. Analysis of recovery data confirmed that British and Irish Shelduck occurred in the Wadden Sea predominantly between August and November, and use moulting sites in the Dutch Wadden Sea and Helgoland Bight. Four Shelduck were successfully tracked from East Anglia to the Wadden Sea. Four separate routes across the North Sea were identified, with previously unreported stopovers noted in the Dutch Wadden Sea, before birds continued on to moult sites in the Helgoland Bight. Flight speeds of 30.3 ± 9.2 knots (n = 299, range 8.7–55.0 knots) were recorded, and altitudes of up to 354 m. An expansion to the tracking study is planned, to increase sample sizes and geographical representation. [ABSTRACT FROM AUTHOR]

Automatic defect classification methods are important to increase the productivity of the forest industry. In this respect, classification is also an important component of a pattern recognition system. Well designated classification algorithm will make recognition process more efficient and productive. Quality control is one of the most important steps among the applications that use classification. There are various techniques which are available in order to check quality of wooden material. However, display based quality control of wooden materials is still stands as a hard process. Although there are quality control methods, there are quality control problems because of the classification depending on the person's eyestrain. We aim the reduction of labor costs. Also, we aim to achieve a more accurate and reliable way to make automatic quality classification. In this article, we proposed a method for quality control of wood material. In order to determine quality control of wooden material, knot detection algorithm which is developed using image processing techniques. This knot detection algorithm consists of several steps. These steps are morphological preprocesses in the knot preprocessing step, knot features obtained from Wavelet Moment (WM) in the feature extraction step, k nearest neighbor method (KNN) classification technique in the classification step. [ABSTRACT FROM AUTHOR]

To generate analysis-suitable T-splines for arbitrary topologies, in this paper we introduce a new method to deal with extraordinary nodes in the T-mesh. Knot interval duplication method is used to extract knot vectors for the extraordinary nodes and spoke nodes. From defined bicubic weighted T-spline basis functions, the extracted Bézier coefficients are modified to obtain a gap-free T-spline surface. The boundaries shared by the first-ring neighboring Bézier elements are C0-continuous. Then we use biquartic Bézier basis functions with optimized coefficients to increase the surface continuity to G1. Comparison with other methods shows that our method generates T-spline surfaces with better surface continuity for analysis. [ABSTRACT FROM AUTHOR]

Data fitting with B-splines is a challenging problem in reverse engineering for CAD/CAM, virtual reality, data visualization, and many other fields. It is well-known that the fitting improves greatly if knots are considered as free variables. This leads, however, to a very difficult multimodal and multivariate continuous nonlinear optimization problem, the so-called knot adjustment problem. In this context, the present paper introduces an adapted elitist clonal selection algorithm for automatic knot adjustment of B-spline curves. Given a set of noisy data points, our method determines the number and location of knots automatically in order to obtain an extremely accurate fitting of data. In addition, our method minimizes the number of parameters required for this task. Our approach performs very well and in a fully automatic way even for the cases of underlying functions requiring identical multiple knots, such as functions with discontinuities and cusps. To evaluate its performance, it has been applied to three challenging test functions, and results have been compared with those from other alternative methods based on AIS and genetic algorithms. Our experimental results show that our proposal outperforms previous approaches in terms of accuracy and flexibility. Some other issues such as the parameter tuning, the complexity of the algorithm, and the CPU runtime are also discussed. [ABSTRACT FROM AUTHOR]

We present a new strategy for constructing tensor product spline spaces over quadtree and octree T-meshes. The proposed technique includes some simple rules for inferring local knot vectors to define spline blending functions. These rules allow to obtain for a given T-mesh a set of cubic spline functions that span a space with nice properties: it can reproduce cubic polynomials, the functions are C 2-continuous, linearly independent, and spaces spanned by nested T-meshes are also nested. In order to span spaces with these properties applying the proposed rules, the T-mesh should fulfill the only requirement of being a 0-balanced quadtree or octree. The straightforward implementation of the proposed strategy and the simplicity of tree structures can make it attractive for its use in geometric design and isogeometric analysis. In this paper we give a detailed description of our technique and illustrate some examples of its application in isogeometric analysis performing adaptive refinement for 2D and 3D problems. [ABSTRACT FROM AUTHOR]

In order to clarify the effects of entanglement species on nucleation of polymers, we studied the growth rate of spherulite G of cyclic and linear polyethylenes (C-PE and L-PE) from the melt as a function of degree of supercooling ΔT by means of polarizing optical microscope. We prepared several C-PEs with different weight average molecular weights Mw = 9300, 43600 and 86500, and L-PE with Mw = 44000. G of all the sample were obeyed the equation, G = Gº exp ( - B/ΔT). B of C-PE gradually increased with increasing Mw. B is proportional to the surface free energy of the end surface of the nucleus, and this indicates that the regularity of folding surface increased with increasing Mw. We consider that topological constraint of cyclic polymer becomes large with decreasing Mw of the cyclic polymer. On the other hand, for C-PE and L-PE having almost the same Mw ( = 44 k), Gº of C-PE is much less than that of L-PE. Due to the topological constraint of cyclic polymer, we speculated that the adsorption mode on the crystal surface of C-PE is different than that of L-PE. [ABSTRACT FROM AUTHOR]

Copyright of Revista Tecno Lógicas is the property of Instituto Tecnologico Metropolitano and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract: This manuscript provides a pedagogical introduction on how to determine and visualize simple physical knots occurring in polymers, proteins and DNA. We explain how the Alexander polynomial is computed and implemented in a simulation code, and how the structure can be simplified beforehand to save computer time. The concept of knottedness can also be extended in a statistical framework to chains which are not closed. The latter is exemplified by comparing statistics of knots in open random walks and closed random loops. [ABSTRACT FROM AUTHOR]

The article focuses on the structure of concepts as thoughts to be a Borromean knot. It mentions the terms that constitute concepts which include the Real (R), the Symbolic (S), and the Imaginary (I) complements each other. It states that R declares the fact of the concept and is an inconsistent multiplicity. It says that S classifies the multiplicities and defines the logic of the knot. It also mentions that I is the one that separates similarities and differences. It argues that democracy could be described as a Borromean knot because of its subjectivation does not need to carry out exclusions.

Making knot is important work in the textile industry. Now, devices which make knots such as knotters and splicers are spread. However these devices cannot make all knots used in the textile industry, thus workers still make knots by their hand in some textile mills. These mills, therefore, demand to make knots automatically. In this study, we used a set of parts which is called a mold to make various knots. Tracks corresponding to each knot must be carved on the surface of a mold. However experience by practice is needed to design a mold, thus a logical design process is demanded for anyone to design tracks. We used the knot theory and the Dowker notation to adapt the mold for each knot, then we tried to move and/or compose tracks in order to obtain the appropriate path. [ABSTRACT FROM AUTHOR]

The article is about mathematical motifs of modern interest such as remarkable links and knots that were found at a 6th century Chennai temple. Introducing these mathematical objects we discuss their timeless and universal appeal as well as point to possible reasons for their symbolic use in ancient Indian temples. [ABSTRACT FROM AUTHOR]

Once calculation concerns with Generalized Additive Models emerged during 2002, the number and placement of knots to smooth variables using natural splines became a prominent methodological issue when estimating health effects of ambient air particles.Using data from at least seven different cities in the United States (additional cities are currently being added to the analysis already performed), the paper compares the estimated effect of various ambient air particles by the number and placement of knots for variables smoothed in the non-linear models. Graphs and charts compare the estimated effects, by city, for nine different combinations of knots for smoothing time and four different combinations of knots for weather measures. The appropriateness of the number and placement of knots are compared using Akaike's Information Criterion, standard error of the estimates, patterns in residuals, and characteristics of the health and ambient air particle data.In general, the number of knots tends to influence the estimated effects more than the placement of the knots. Cities with greater fluctuation in weather or health endpoints tend require more knots for smoothing than those with less fluctuation. The less frequent the health endpoints (daily mortality, hospital admissions, etc.) the relatively fewer number of knots appear reasonable. For example, estimating the health effects of ambient air particles in Boston, Massachusetts, in general, requires many more knots than in Atlanta, GA. The average and standard deviation in the daily health endpoints affects the general findings, as well as the number of air particles estimated simultaneously.The less cyclical the ambient air particle data or health endpoints, the fewer number of knots appear necessary. When multiple pollutants are included in one model, when estimating effects and comparing them across multiple cities, etc. the “best” number of knots for each individual particulate measure might not be the best overall strategy. When presenting results, more than one scenario may be most appropriate to illustrate the sensitivity of the estimated effects as a function of the number/placement of knots. [ABSTRACT FROM AUTHOR]