scholarly journals Improved Newton Iterative Algorithm for Fractal Art Graphic Design

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Huijuan Chen ◽  
Xintao Zheng
Keyword(s):  
Graphic Design ◽  
Design Research ◽  
Optimization Method ◽  
Initial Value ◽  
Computing Power ◽  
Iterative Calculation ◽  
Mathematical Formulas ◽  
Newton Iteration Method ◽  
Design Experiments ◽  
Selection Of

Fractal art graphics are the product of the fusion of mathematics and art, relying on the computing power of a computer to iteratively calculate mathematical formulas and present the results in a graphical rendering. The selection of the initial value of the first iteration has a greater impact on the final calculation result. If the initial value of the iteration is not selected properly, the iteration will not converge or will converge to the wrong result, which will affect the accuracy of the fractal art graphic design. Aiming at this problem, this paper proposes an improved optimization method for selecting the initial value of the Gauss-Newton iteration method. Through the area division method of the system composed of the sensor array, the effective initial value of iterative calculation is selected in the corresponding area for subsequent iterative calculation. Using the special skeleton structure of Newton’s iterative graphics, such as infinitely finely inlaid chain-like, scattered-point-like composition, combined with the use of graphic secondary design methods, we conduct fractal art graphics design research with special texture effects. On this basis, the Newton iterative graphics are processed by dithering and MATLAB-based mathematical morphology to obtain graphics and then processed with the help of weaving CAD to directly form fractal art graphics with special texture effects. Design experiments with the help of electronic Jacquard machines proved that it is feasible to transform special texture effects based on Newton's iterative graphic design into Jacquard fractal art graphics.

scholarly journals A New Hyper-Parameter Optimization Method for Power Load Forecast Based on Recurrent Neural Networks

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 163
Author(s):  
Yaru Li ◽  
Yulai Zhang ◽  
Yongping Cai
Keyword(s):  
Neural Networks ◽  
Parameter Optimization ◽  
Recurrent Neural Networks ◽  
Critical Role ◽  
Optimization Method ◽  
Bayesian Optimization ◽  
Power Load ◽  
Gradient Calculation ◽  
Truncated Newton ◽  
Selection Of

The selection of the hyper-parameters plays a critical role in the task of prediction based on the recurrent neural networks (RNN). Traditionally, the hyper-parameters of the machine learning models are selected by simulations as well as human experiences. In recent years, multiple algorithms based on Bayesian optimization (BO) are developed to determine the optimal values of the hyper-parameters. In most of these methods, gradients are required to be calculated. In this work, the particle swarm optimization (PSO) is used under the BO framework to develop a new method for hyper-parameter optimization. The proposed algorithm (BO-PSO) is free of gradient calculation and the particles can be optimized in parallel naturally. So the computational complexity can be effectively reduced which means better hyper-parameters can be obtained under the same amount of calculation. Experiments are done on real world power load data,where the proposed method outperforms the existing state-of-the-art algorithms,BO with limit-BFGS-bound (BO-L-BFGS-B) and BO with truncated-newton (BO-TNC),in terms of the prediction accuracy. The errors of the prediction result in different models show that BO-PSO is an effective hyper-parameter optimization method.

scholarly journals Effectiveness of cartographic presentation methods applied within small-scale thematic maps in the press and on the Internet

2015 ◽  
Vol 47 (1) ◽  
pp. 5-17
Author(s):  
Jolanta Korycka-Skorupa
Keyword(s):  
Graphic Design ◽  
Small Scale ◽  
The Internet ◽  
Thematic Maps ◽  
The Press ◽  
Presentation Methods ◽  
Written Word ◽  
Selection Of ◽  
Better Than

Abstract The author discuss effectiveness of cartographic presentations. The article includes opinions of cartographers regarding effectiveness, readability and efficiency of a map. It reminds the principles of map graphic design in order to verify them using examples of small-scale thematic maps. The following questions have been asked: Is the map effective? Why is the map effective? How do cartographic presentation methods affect effectiveness of the cartographic message? What else can influence effectiveness of a map? Each graphic presentation should be effective, as its purpose is to complete written word, draw the recipients’ attention, make text more readable, expose the most important information. Such a significant role of graphics results in the fact that graphic presentations (maps, diagrams) require proper preparation. Users need to have a chance to understand the graphics language in order to draw correct conclusions about the presented phenomenon. Graphics should demonstrate the most important elements, some tendencies, and directions of changes. It should generalize and present a given subject from a slightly different perspective. There are numerous examples of well-edited and poorly edited small-scale thematic maps. They include maps, which are impossible to interpret correctly. They are burdened with methodological defects and they cannot fulfill their task. Cartography practice indicates that the principles related to graphic design of cartographic presentation are frequently omitted during the process of developing small-scale thematic maps used – among others – in the press and on the Internet. The purpose of such presentations is to quickly interpret them. On such maps editors’ problems with the selection of an appropriate symbol and graphic variable (fig. 1A, 9B) are visible. Sometimes they use symbols which are not sufficiently distinguishable nor demonstrative (fig. 11), it does not increase their readability. Sometime authors try too hard to reflect presented phenomenon and therefore the map becomes more difficult to interpret (fig. 4A,B). The lack of graphic sense resulting in the lack of graphic balance and aesthetics constitutes a weak point of numerous cartographic presentations (fig. 13). Effectiveness of cartographic presentations consists of knowledge and skills of the map editor, as well as the recipients’ perception capabilities and their readiness to read and interpret maps. The qualifications of the map editor should include methodological qualifications supported by the knowledge of the principles for cartographic symbol design, as well as relevant technical qualifications, which allow to properly use the tools to edit a map. Maps facilitate the understanding of texts they accompany and they present relationships between phenomenon better than texts, appealing to the senses.

Automated and Adaptive Geometry Preparation for AR/VR-Applications

2021 ◽  
Author(s):  
Maximilian Peter Dammann ◽  
Wolfgang Steger ◽  
Ralph Stelzer
Keyword(s):  
Software Tool ◽  
Product Structure ◽  
Preparation Process ◽  
Data Preparation ◽  
Batch Mode ◽  
Computing Power ◽  
Time Savings ◽  
Automatic Preparation ◽  
Target Platform ◽  
Selection Of

Abstract Product visualization in AR/VR applications requires a largely manual process of data preparation. Previous publications focus on error-free triangulation or transformation of product structure data and display attributes for AR/VR applications. This paper focuses on the preparation of the required geometry data. In this context, a significant reduction in effort can be achieved through automation. The steps of geometry preparation are identified and examined with respect to their automation potential. In addition, possible couplings of sub-steps are discussed. Based on these explanations, a structure for the geometry preparation process is proposed. With this structured preparation process it becomes possible to consider the available computing power of the target platform during the geometry preparation. The number of objects to be rendered, the tessellation quality and the level of detail can be controlled by the automated choice of transformation parameters. We present a software tool in which partial steps of the automatic preparation are already implemented. After an analysis of the product structure of a CAD file, the transformation is executed for each component. Functions implemented so far allow, for example, the selection of assemblies and parts based on filter options, the transformation of geometries in batch mode, the removal of certain details and the creation of UV maps. Flexibility, transformation quality and time savings are described and discussed.

Automated and adaptive geometry preparation for ar/vr-applications

2021 ◽  
pp. 1-26
Author(s):  
Maximilian Peter Dammann ◽  
Wolfgang Steger ◽  
Ralph Stelzer
Keyword(s):  
Performance Optimization ◽  
Software Tool ◽  
Product Structure ◽  
Preparation Process ◽  
Data Preparation ◽  
Batch Mode ◽  
Computing Power ◽  
Automatic Preparation ◽  
Target Platform ◽  
Selection Of

Abstract Product visualization in AR/VR applications requires a largely manual process of data preparation. Previous publications focus on error-free triangulation or transformation of product structure data and display attributes for AR/VR applications. This paper focuses on the preparation of the required geometry data. In this context, a significant reduction in effort can be achieved through automation. The steps of geometry preparation are identified and examined concerning their automation potential. In addition, possible couplings of sub-steps are discussed. Based on these explanations, a structure for the geometry preparation process is proposed. With this structured preparation process, it becomes possible to consider the available computing power of the target platform during the geometry preparation. The number of objects to be rendered, the tessellation quality, and the level of detail can be controlled by the automated choice of transformation parameters. Through this approach, tedious preparation tasks and iterative performance optimization can be avoided in the future, which also simplifies the integration of AR/VR applications into product development and use. A software tool is presented in which partial steps of the automatic preparation are already implemented. After an analysis of the product structure of a CAD file, the transformation is executed for each component. Functions implemented so far allow, for example, the selection of assemblies and parts based on filter options, the transformation of geometries in batch mode, the removal of certain details, and the creation of UV maps. Flexibility, transformation quality, and timesavings are described and discussed.

scholarly journals PENGEMASAN TARI GUEL DALAM BENTUK KARTU POS SEBAGAI MEDIA PEMBELAJARAN

2018 ◽  
Vol 7 (1) ◽  
pp. 18
Author(s):  
Suciati Simah Bengi ◽  
Yusnizar Heniwaty ◽  
Dilinar Adlin
Keyword(s):  
Graphic Design ◽  
Media Theory ◽  
Second Step ◽  
Literature Study ◽  
Learning Materials ◽  
Location Selection ◽  
Qualitative Descriptive ◽  
Descriptive Method ◽  
Editing Process ◽  
Selection Of

Abstract-This study discusses Guel dance learning media created in the form of postcards. Aims to be able to direct students in identifying, appreciating, and expressing dances of the Gayo area, especially Guel dance. Theories used in the research of packaging theory according to Cahyorini and Rusfian (2011: 28), theory of learning media according to Heinich in Susilana (2016: 06), and graphic media theory according to Susilana and Riyana (2016: 14) Packaging is a theory used for graphic design, in terms of producing the product, and the image media in the form of postcards used to make Guel dance material as a learning medium. The time of the study was conducted from August to October 2017. The research site was at Sanggar Renggali Jalan Merah Mege Hakim Bale Bujang Laut Tawar, Central Aceh District. The population of several artists Gayo and all members of Sanggar Renggali because learning Guel dance is a dance learning materials in schools in Takengon and Samples are 2 people Gayo artists and 2 dancers dance Guel. Data collection techniques include observation, interview, literature study, and documentation, and then analyzed by qualitative descriptive method. Based on research that has been done Guel dance is a tradition dance Gayo community that has been used as learning materials in the schools of Middle Secondary in Central Aceh district. Guel dance which is packed in the form of postcards as a medium of learning with menggunkana first step of planning is preparing the material, determining the location, selection of dancers, and prepare the facilities and infrastructure. The second step of implementation is taking photos, editing process, then the last step is the completion of postcards and final writing. And produces packaging of learning media of Guel dance that is in the form of postcard.  Keywords: Packaging, Guel Dance, Postcard Media

scholarly journals DESIGNING LEARNING ROTATION USING THE CONTEXT OF BAMBOO WOVEN MOTIF

2020 ◽  
Vol 4 (2) ◽  
pp. 100
Author(s):  
Maryati Maryati ◽  
Rully Charitas Indra Prahmana
Keyword(s):  
Design Research ◽  
Learning Trajectory ◽  
Realistic Mathematics Education ◽  
Preliminary Design ◽  
Realistic Mathematics ◽  
Formal Level ◽  
Three Stages ◽  
Transformation Geometry ◽  
Ninth Grade Students ◽  
Design Experiments

An essential part of learning transformation geometry is rotation. Before learning more about other parts of the transformation geometry topic, such as translation, dilation, and reflection, firstly, students are required to understand well about rotation. However, several students have not been able to understand this subject properly due to the stages of learning in the rotation has not been appropriately arranged. Thus, this study aims to design a student learning trajectory in learning rotation, which develop from informal to formal level through the Indonesian Realistic Mathematics Education (IRME) approach. Furthermore, researchers used a design research method divided into three stages, namely preliminary design, design experiments, and retrospective analysis. This study describes how the bamboo woven motif contributes significantly to 31 ninth-grade students understanding the rotation concept. As a result, the woven bamboo motif's context can stimulate students' understanding of rotation. It is proven based on the strategies and models of students during their learning process which contributes to their fundamental knowledge of rotation.

Learning to meet language demands in multi-step mathematical argumentations: Design research on a subject-specific genre

2017 ◽  
Vol 5 (2) ◽  
pp. 309-335 ◽  
Author(s):  
Susanne Prediger ◽  
Kerstin Hein
Keyword(s):  
Empirical Analysis ◽  
Design Research ◽  
Academic Language ◽  
Learning Processes ◽  
Depth Analysis ◽  
Subject Specific ◽  
Micro Level ◽  
Teaching Learning ◽  
The Empirical Analysis ◽  
Design Experiments

AbstractFormal multi-step mathematical argumentations are a typical case of a highly specified subject-specific genre in the technical language with challenging demands in the academic language of schooling. The design research project presented here has the dual aim of (1) specifying the structural and language demands of formal mathematical argumentations and (2) designing a teaching-learning arrangement that uses structural scaffolding to foster students to successively meet these demands. These dual aims are pursued by an in-depth empirical analysis of students’ processes on the micro-level. For this purpose, 15 design experiments were conducted with 10 pairs of students in three design experiment cycles. The first two cycles served to develop the structural scaffolding and the third cycle served to investigate the initiated learning processes and the language demands on the lexical and syntactical level. The qualitative in-depth analysis of the teaching-learning processes in the design experiments shows how students can successively learn to conduct multi-step argumentations when supported by structural scaffolding. Expressing the argumentations in an adequate way, however, is an additional challenge. The empirical analysis reveals deep insights into the complex interplay of conditional, causal, and consecutive phrases that are necessary to combine premises, arguments, and conclusions in a logical sound way. The design research study has theoretical consequences for conceptualizing subject-specific discursive demands as well as practical implications as one design outcome is a prototype of the learning arrangement to foster students in a mathematics- and language-integrated way.

Performance Prediction by an SVM with a Firefly Optimization Method

2020 ◽  
pp. 2150017
Author(s):  
Yongquan Yan
Keyword(s):  
Support Vector Machine ◽  
Economic Loss ◽  
Optimization Method ◽  
Parameter Selection ◽  
Support Vector ◽  
Software Aging ◽  
Memory Prediction ◽  
Firefly Optimization ◽  
Aging Phenomena ◽  
Selection Of

Since software system is becoming more and more complex than before, performance degradation and even abrupt download, which are called software aging phenomena, bring about a great deal of economic loss. To counter these problems, some methods are used. Support vector machine is an effective method to tackle software aging problems, but its performance is influenced by the selection of hyper-parameters. A method is proposed to optimize the hyper-parameter selection of support vector machine in this work. The proposed method which is used as a training algorithm to optimize the parameter selection of support vector machine, utilizes the global exploration power of firefly method to achieve faster convergence and also a better accuracy. In the experiment, we use two metrics to test the effect of the proposed method. The results indicate that the presented method owns the highest accuracy in both the available memory prediction and heap memory prediction of Web server for software aging predictions.

scholarly journals Initial value selection of the model parameters in the curve fitting phase of the dynamic SPECT imaging

2018 ◽  
Vol 51 (27) ◽  
pp. 241-246
Author(s):  
Zsófia Barna ◽  
Ákos Szlávecz ◽  
Gábor Hesz ◽  
Péter Somogyi ◽  
Katalin Kovács ◽  
...  
Keyword(s):  
Curve Fitting ◽  
Spect Imaging ◽  
Model Parameters ◽  
Dynamic Spect ◽  
Initial Value ◽  
Selection Of
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