Style Templates Research Articles

Construction of Knowledge Graph of 3D Clothing Design Resources Based on Multimodal Clustering Network.

The construction of 3D design model is a hotspot of applied research in the fields of clothing functional design system teaching and display. The simple 3D clothing visualization postprocessing lacks interactive functions, which is a hot issue that needs to be solved urgently at present. Based on analyzing the existing clothing modeling technology, template technology, and fusion technology, and based on the multimodal clustering network theory, this paper proposes a 3D clothing design resource knowledge graph modeling method with multiple fusion of features and templates. The position of each joint point is converted into the coordinate system centered on the torso point in advance and normalized to avoid the problem that the relative position of the camera and the collector cannot be determined, and the shape of different collectors is different. The paper provides a multimodal clustering network intelligence method, illustrates the interoperability of users switching between different design networks in the seamless connection movement, and combines the hybrid intelligence algorithm with the fuzzy logic interpretation algorithm to solve the problems in the field of 3D clothing design service quality. During the simulation process, the research scheme builds a logical multimodal clustering network framework, which integrates compatibility access and global access partition fusion of style templates to achieve information extraction of clothing parts. The experimental results show that the realistic 3D clothing modeling can be achieved by layering the 3D clothing map, contour features, clothing size features, and color texture features with the modeling template. The developed ActiveX control is mounted on MSN, and the system is compatible. The performance and integration rate reached 77.1% and 89.7%, respectively, which effectively strengthened the practical role of the 3D clothing design system.

ESL Student Perspectives on Problems and Solutions for Academic Integrity

While technology has made information readily available to university students, many of them have no sound understanding of how to use the sources properly, especially ESL students (Löfström & Kupila, 2013). When they use others’ ideas, text, or work without crediting the sources, they may commit either intentional or involuntary plagiarism (Camara et al, 2017). When they reuse a submitted assignment for another course improperly, they may commit self-plagiarism (APA Style, 2019), However, rather than simply punishing students for plagiarism, the universities should educate and empower students, especially ESL students, to avoid plagiarism (Khoo, 2021). Previous research has found student plagiarism to arise for such reasons as language incompetence, first culture influence, and time pressure (Camara et al., 2017; Löfström & Kupila, 2013; Shi, 2004, 2006). However, there might be other challenges ESL students encounter that are not well understood. To counter plagiarism, programs such as Turnitin have been developed to detect copying but it would be more ideal if teachers understand student needs and strategies to address them. Unfortunately, only limited research has studied these issues (Camara et al., 2017; Hu, 2001; Löfström & Kupila, 2013; Shi, 2006). Thus, this presentation reports on a study examining student perspectives on academic integrity challenges and institutional solutions. The study employed semi-structured individual in-depth qualitative interviews (Creswell, 2007; Hu, 2009) with 20 ESL students taking Academic Writing at a western Canadian university in Winter 2021. The participants were selected based on EDI (equity, diversity, and inclusiveness) principles and represented 10 countries. Some participants had completed high school and others had finished undergraduate or graduate studies in part or whole. Each interview was conducted online via Blue Jeans, lasting about an hour, and each transcript underwent member checking. The data were analyzed qualitatively to determine recurrent themes. Preliminary findings suggest that the predominant challenge of the participants is their lack of experience using citations before studying at the Canadian university. The participants generally had written either no formal essays or only opinion-based essays with no source requirement. In some cases, although the participants used sources, they were not required to cite them. In others, although they cited sources, they were not required to follow strict conventions like APA style. Because of the lack of citation experience, the participants found APA 7th edition rules hard to follow in the beginning. Even after the course, many participants still found paraphrase challenging because ESL students typically have limited vocabulary and grammatical structures, which make it difficult to rephrase the source in their own words while keeping the original meaning. A less serious challenge is to create a reference list of various types of sources in APA 7. To help students with the challenges, style templates and models are valuable, but perhaps even more valuable are interactive workshops at semester start offering explanations and opportunities for hands-on practice. Thus, a combination of resources and workshops along with improved language competence are expected to empower ESL students in academic integrity. By attending the session, participants will understand ESL student challenges for academic integrity and strategies to help students. Furthermore, they will receive a list of internet resources.

3D Patch-Based Sparse Learning for Style Feature Extraction

How to extract features of different shapes for style similarity evaluation is a very challenging research topic. Different from methods based on predefined style templates, we perform sparse learning and triplet embedding directly from the 3D shape local descriptors. The proposed method can adaptively generate element-level style features of different 3D patches for style similarity evaluation. The proposed algorithm mainly consists of the following steps. First, given a heterogeneous 3D shape collection, we learn mid-level style features by Siamese networks based on curvature-guided sampling directly on 3D shapes, which is a view-independent and part-independent approach. Second, we perform sparse coding to reduce the dimension of mid-level local features and achieve more compact and discriminative style features, named element-level features. Finally, we enhance our element-level style features by triplet embedding learning over crowdsourced triplets, which maps similar examples close to each other and dissimilar examples farther apart. The proposed algorithm can aggregate different local features into a global style feature representation and shows satisfactory discriminability. Our method can avoid the loss of style features from the 3D model to the views and can learn more discriminative style features by sparse learning. The experimental results show that our sparse style feature representation significantly improves the accuracy compared with recent state-of-the-art algorithms.

Converting Basic D3 Charts into Reusable Style Templates

We present a technique for converting a basic D3 chart into a reusable style template. Then, given a new data source we can apply the style template to generate a chart that depicts the new data, but in the style of the template. To construct the style template we first deconstruct the input D3 chart to recover its underlying structure: the data, the marks and the mappings that describe how the marks encode the data. We then rank the perceptual effectiveness of the deconstructed mappings. To apply the resulting style template to a new data source we first obtain importance ranks for each new data field. We then adjust the template mappings to depict the source data by matching the most important data fields to the most perceptually effective mappings. We show how the style templates can be applied to source data in the form of either a data table or another D3 chart. While our implementation focuses on generating templates for basic chart types (e.g., variants of bar charts, line charts, dot plots, scatterplots, etc.), these are the most commonly used chart types today. Users can easily find such basic D3 charts on the Web, turn them into templates, and immediately see how their own data would look in the visual style (e.g., colors, shapes, fonts, etc.) of the templates. We demonstrate the effectiveness of our approach by applying a diverse set of style templates to a variety of source datasets.

The Design of Web User Interface Based on Dynamic Re-Components

For environment and user needs easy-to-change issues in the Web application system application, the ideology of flexible software and Web interface design combining in the paper, we proposed a dynamic reconfiguration capability flexible component-based Web user interface model. The model displays the description of component style templates and adapts to the structural changes of business data component rules stored in the XML documents and relational databases, so as to solve the adaptability and reusability of Web user interface. Finally, a flexible Web user interface of the table data display function to illustrate the effectiveness and availability of the model.

ECplot: an online tool for making standardized plots from large datasets for bioinformatics publications

We have implemented ECplot, an online tool for plotting charts from large datasets. This tool supports a variety of chart types commonly used in bioinformatics publications. In our benchmarking, it was able to create a Box-and-Whisker plot with about 67 000 data points and 8 MB total file size within several seconds. The design of the tool makes common formatting operations easy to perform. It also allows more complex operations to be achieved by advanced XML (Extensible Markup Language) and programming options. Data and formatting styles are stored in separate files, such that style templates can be made and applied to new datasets. The text-based file formats based on XML facilitate efficient manipulation of formatting styles for a large number of data series. These file formats also provide a means to reproduce published figures from raw data, which complement parallel efforts in making the data and software involved in published analysis results accessible. We demonstrate this idea by using ECplot to replicate some complex figures from a previous publication. ECplot and its source code (under MIT license) are available at https://yiplab.cse.cuhk.edu.hk/ecplot/. kevinyip@cse.cuhk.edu.hk.

Localized Trust – the Semiotics in Culture and E-Culture

Intangible trust perceptions have been shown to form an important part of the User Experience (UX) in relation to various B2C (Business-to-Customer) contexts of use. The extant literature appears somewhat immature in relation to intangible trust and UX models from a non-Western perspective. Indeed it appears from our recent e-Banking audit using a novel cross-cultural expert evaluation instrument that too often Banks (such as Deutsche Bank) rely on perceptions of Eastern cultures viewed through a lens that relies on stereotypical images, signs and Western style templates. After identifying how trust and semiotics work considering the case of Zanzibar we compare two contrasting e-Bank site localization design paradigms: namely that of Deutsche Bank and HSBC with respect to two target audiences: namely China and Taiwan. The findings of the e-Culture audit are aligned to the ubiquitous set of cultural dimensions first defined by Geert Hofstede. This alignment appears to show that the stereotypical paradigm is not in alignment with either Hofstede's Individualism/Collectivism metric nor with normative semiotic signs that reflect vibrant local urban street cultures. We go on to suggest that the use of card-sorting may speculatively be used to better engender localized sites that are aligned to local target.

PROC REPORT IN STYLE

I would like to demonstrate how you can create colorful PDF files using ODS (Output Delivery System) with different predefined style templates for the layout and color scheme of both tables and graphs. There are a few different ways you can customize your reports in the Report Procedure. Traffic lighting is a very popular technique and can be achieved by changing the font and/or the background colors. I prefer to customize my reports by adding background color to highlight a row, column, and/or cell in a table. I will share my favorite styles and show you how to look at your tables in the different styles available. I will briefly explain how you can create your own style by changing the color scheme of an existing style so that it can be used for all of your reports. I will explain how I used the pieces of code to get the table with a row, a column and individual cells highlighted with several different colors. I will focus on creating PDF files using ODS, but these methods can be used with other output destinations. This paper is for beginner to intermediate level SAS® programmers with experience creating tables with Report procedure.

ENGLISH

This study addresses the development of an online authoring system that can be integrated into a typical digital archive system to facilitate the construction of online exhibitions. One common approach for the efficient online authoring is based on a principle that decomposes a hypermedia presentation into a “content document” and a “style template.” This study proposes a layer-based architecture to further decompose a style template into a number of presentation layers. The approach eases the burden for implementing large-scale style templates in digital museum projects demanding versatile presentation styles. Particular attention has been focused on the mechanism for affective background image composition that incorporates the concerns of the affective colour scheme and the page layout. A system implementation has been successfully applied in real world digital museum projects for constructing aesthetic online exhibitions. DOI: 10.14429/djlit.28.4.195

Implementing non-strict evaluation on OOVMs

Object-oriented virtual machines (OOVMs), such as the Common Language Infrastructure (CLI) and Java Virtual Machine (JVM), are increasingly common. The CLI, with its support for objects and value types, provides a good platform for many, but not all, programming languages. Gyro, the generics for Rotor extension, improves the CLI as a platform for languages with polymorphic type systems, C++ style templates, Ada style generics, and so on. The introduction of Gyro also simplified extending languages to include generic features. However, there remain a number of programming language features that are hard to implement well on these OOVMs. These include general closures, continuations, block structure, non-strict evaluation, and dynamic inheritance. The author looks at just one of these and introduces just-in-time (JIT) objects as an OOVM version of non-strict evaluation. The method is evolutionary rather than revolutionary, but is a significant improvement over existing techniques. These have been implemented for an unreleased development version of Microsoft's CLI. Such JIT objects support the compilation of non-strict languages. The design also enables strict languages, such as C#, to also access and create JIT objects.