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3rd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Lin, Huiyu School of Information Engineering Guangzhou Huashang Vocational College Guangdong Guangzhou510000 China

ISBN: (纸本)9798350380989

Combining the object-oriented technology and tree view function of VB6, a graphical control method based on tree view is presented. The information about the algorithm is wrapped in these graphical controls by means of wrapping. The boundary characteristics of the original image are extracted by filtering it based on the deep belief net. The mathematical model of deep belief net and its probability distribution function are established. In this project, the method of combining neural network transformation and sparse representation is proposed to carry out multi-feature fusion of image boundaries, and sigma function is added to the output layer of deep confidence network model to reduce the complexity of iterative training process. By extracting the shape gradient feature of the image boundary, the edge discrete feature is removed and the digital image boundary enhancement is realized. Experiments show that the improved image has better boundary characteristics. Under the same sample conditions, the number of iterative training steps is less, and the image edge processing effect is better than the traditional scheme. © 2024 IEEE.

关键词： deep learning digital image edge enhancement graphic algorithm control image processing platform visual programming

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Computational Thinking and User Interfaces: A Systematic Review

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IEEE TRANSACTIONS ON EDUCATION 2022年第4期65卷 647-656页

作者： Rijo-Garcia, Sara Segredo, Eduardo Leon, Coromoto Univ La Laguna Dept Ingn Informat & Sistemas San Cristobal De Laguna 38200 Spain

Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computational thinking is defined as a method that enhances problem-solving skills, system design, and human behavior understanding. Over the last few decades, several tools have been proposed for the development of computational thinking skills;however, there is no area of study that evaluates the implications or the impact that these types of platforms have on users belonging to any knowledge area. Research Question: Do user interfaces influence the development of computational thinking skills? Methodology: To address this issue, a systematic review of the literature was conducted using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology for analyzing and evaluating scientific publications. Findings: The results show that despite the dearth of literature on the subject, the specific design of a user interface has a significant impact on the development of computational thinking. Bearing the above in mind, it is necessary to conduct research that delves more deeply into the effects caused by the technologies that are used to develop computational thinking, this being a line of research that is worthy of consideration.

关键词： User interfaces Systematics User experience Usability programming profession Computational modeling Libraries Computational thinking human-computer interaction preferred reporting items for systematic reviews and meta-analyses (PRISMA) survey systematic review usability user experience user interface visual programming

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Tofu: a fast, versatile and user-friendly image processing toolkit for computed tomography

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JOURNAL OF SYNCHROTRON RADIATION 2022年第PT 3期29卷 916-927页

作者： Farago, Tomas Gasilov, Sergey Emslie, Iain Zuber, Marcus Helfen, Lukas Vogelgesang, Matthias Baumbach, Tilo Karlsruhe Inst Technol KIT Inst Photon Sci & Synchrotron Radiat Herrmann von Helmholtz Pl 1 D-76344 Eggenstein Leopoldshafen Germany Canadian Light Source 44 Innovat Blvd Saskatoon SK S7N 2V3 Canada Karlsruhe Inst Technol Lab Applicat Synchrotron Radiat Kaiserstr 12 D-76131 Karlsruhe Germany Inst Laue Langevin 71 Ave MartyrsCS 20156 F-38042 Grenoble 9 France Karlsruhe Inst Technol Inst Data Proc & Elect Hermann von Helmholtz Pl 1 D-76344 Eggenstein Leopoldshafen Germany

Tofu is a toolkit for processing large amounts of images and for tomographic reconstruction. Complex image processing tasks are organized as workflows of individual processing steps. The toolkit is able to reconstruct parallel and cone beam as well as tomographic and laminographic geometries. Many pre- and post-processing algorithms needed for high-quality 3D reconstruction are available, e.g. phase retrieval, ring removal and de-noising. Tofu is optimized for stand-alone GPU workstations on which it achieves reconstruction speed comparable with costly CPU clusters. It automatically utilizes all GPUs in the system and generates 3D reconstruction code with minimal number of instructions given the input geometry (parallel/cone beam, tomography/laminography), hence yielding optimal run-time performance. In order to improve accessibility for researchers with no previous knowledge of programming, tofu contains graphical user interfaces for both optimization of 3D reconstruction parameters and batch processing of data with pre-configured workflows for typical computed tomography reconstruction. The toolkit is open source and extensive documentation is available for both end-users and developers. Thanks to the mentioned features, tofu is suitable for both expert users with specialized image processing needs (e.g. when dealing with data from custom-built computed tomography scanners) and for application-specific end-users who just need to reconstruct their data on off-the-shelf hardware.

关键词： tomography laminography parallel beam cone beam 3D reconstruction phase retrieval artifact removal GPU computing user interface batch processing visual programming

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Virtual Testing Environment for Smart Automations in the Internet of Things 1

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17th International Conference on Web Information Systems and Technologies (WEBIST)

作者： Savidis, Anthony Valsamakis, Yannis Univ Crete Dept Comp Sci Rethimnon Greece FORTH Inst Comp Sci Iraklion Crete Greece

ISBN: (数字)9783031241970

ISBN: (纸本)9783031241963;9783031241970

The Internet of Things (IoT) is a rapidly progressing domain, with solutions ranging from large-scale urban infrastructures shared by all citizens, to smaller scale home-based ecosystems targeted to individuals and families. While the choice of functionality in large ecosystems is the responsibility of respective authorities, in home setups smartness implies individualization of automations. In this context, the notion of end-user programming gains increasing attention as a promising way to allow users develop personalized automations by deploying visual programming tools. Since in an IoT ecosystem devices may be invisible, embedded or hardly locatable, sometimes physically inaccessible, testing becomes very challenging, as bringing physical devices to certain states may be either impractical (e.g. window and door sensors) or overall unsafe (e.g. fire or smoke sensors). For this purpose we implemented a virtual testing environment where trials are executed in a protected runtime, not confined to a particular location, disengaged from the physical ecosystem. All our tools run locally in a typical mobile machine and may operate in standalone mode without connecting to real smart devices. Finally, for automations involving time and scheduling, we introduce a virtual time tool, so that testing is done on demand, not following or waiting the actual pace of physical time.

关键词： Internet of Things Smart automations visual programming Virtual testing environments Digital twins

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Integration of Python based Automation and Parametric Modelling in Irrigation Industry 18

Integration of Python based Automation and Parametric Modell...

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18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Rajesh Kumar, V. Koda, Sai Kumar Sai Kumar, P. Arivalagan, Naveen Aravind Wet Ic &t Construction Chennai India Manipur International University Manipur India

ISBN: (纸本)9789380544519

In the irrigation sector, Pumphouses play a key role in water intake from the source and distribution to the fields. The use of BIM (Building Information Modelling) in the construction industry enhances productivity, improves workflow quality, and reduces costs. However, some tasks in the modeling process still require automation. This article explores the application of parametric modeling and automation in the design of pumphouses within the irrigation industry. This study uses software applications such as Revit for parametric modeling and Dynamo for visual programming by utilization of Python scripts for the automation of tasks. These developed parametric models help to reduce the amount of work in modeling similar pump houses in the irrigation industry sector and enhance efficiency and precision in the modeling aspects. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： BIM Information Technology Irrigation and Pump House Parametric Modeling Python script Revit visual programming

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An artistic analysis model based on sequence cartoon images for scratch

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INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 2022年第11期37卷 9598-9619页

作者： Chai, Xiaolin Sun, Yan Luo, Hong Guizani, Mohsen Beijing Univ Posts & Telecommun Dept Comp Sci Beijing 100876 Peoples R China Univ Idaho Dept Elect & Comp Engn Moscow ID 83843 USA

With the development of visual programming languages, researchers pay attention to the automatic evaluation of visual projects. Previous work focus on the code evaluation but ignored another essential part-the visualization results. Scratch is a widely used programming platform, and projects created on it are displayed in the form of cartoon clips. It is valuable to explore the visual aesthetics embodied in these clips to fill the gap in the assessment system. We propose a model that predicts the human view scores of cartoon clips created on Scratch. Our method is divided into two steps to evaluate the aesthetic of the sequence images that compose cartoon clips. First, we train an image classification network to predict the relative aesthetics of individual images. Then we construct an aesthetic space for the sequence image and improve the rating within a specific range. We put forward ScratchGAN to generate a Scratch-cartoon-style aesthetic analysis data set for training the classification network. Experimental results show that our Generative Adversarial Network framework can well transform photos into a Scratch-cartoon style. The single image assessment network can generate predictions that fit human cartoon aesthetic opinions. Our method achieves satisfactory results in the aesthetic evaluation of sequence cartoon images.

关键词： deep learning generative adversarial network image aesthetic images classification scratch sequence cartoon images visual programming

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visual notations in container orchestrations: an empirical study with Docker Compose

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SOFTWARE AND SYSTEMS MODELING 2022年第5期21卷 1983-2005页

作者： Piedade, Bruno Dias, Joao Pedro Correia, Filipe F. Univ Porto Fac Engn Porto Portugal Univ Porto Fac Engn BUILT CoLAB Porto Portugal Univ Porto Fac Engn INESC TEC Porto Portugal

Container orchestration tools supporting infrastructure-as-code allow new forms of collaboration between developers and operatives. Still, their text-based nature permits naive mistakes and is more difficult to read as complexity increases. We can find few examples of low-code approaches for defining the orchestration of containers, and there seems to be a lack of empirical studies showing the benefits and limitations of such approaches. We hypothesize that a complete visual notation for Docker-based orchestrations could reduce the effort, the error rate, and the development time. Therefore, we developed a tool featuring such a visual notation for Docker Compose configurations, and we empirically evaluated it in a controlled experiment with novice developers. The results show a significant reduction in development time and error-proneness when defining Docker Compose files, supporting our hypothesis. The participants also thought the prototype easier to use and useful, and wanted to use it in the future.

关键词： Container orchestrations Infrastructure as code Empirical study visual programming Docker Docker Compose

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Blockly2Hooks: Smart Contracts for Everyone with the XRP Ledger and Google Blockly 5

Blockly2Hooks: Smart Contracts for Everyone with the XRP Led...

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5th IEEE International Conference on Decentralized Applications and Infrastructures (IEEE DAPPS)

作者： Trestioreanu, Lucian A. Shbair, Wazen M. de Cristo, Flaviene Scheidt State, Radu Univ Luxembourg SnT 29 Ave JF Kennedy L-1855 Luxembourg Luxembourg

ISBN: (纸本)9798350335354

Recent technologies such as inter-ledger payments, non-fungible tokens, and smart contracts are all fruited from the ongoing development of Distributed Ledger Technologies. The foreseen trend is that they will play an increasingly visible role in daily life, which will have to be backed by appropriate operational resources. For example, due to increasing demand, smart contracts could soon face a shortage of knowledgeable users and tools to handle them in practice. Widespread smart contract adoption is currently limited by security, usability and costs aspects. Because of a steep learning curve, the handling of smart contracts is currently performed by specialised developers mainly, and most of the research effort is focusing on smart contract security, while other aspects like usability being somewhat neglected. Specific tools would lower the entry barrier, enabling interested non-experts to create smart contracts. In this paper we designed, developed and tested Blockly2Hooks, a solution towards filling this gap even in challenging scenarios such as when the smart contracts are written in an advanced language like C. With the XRP Ledger as a concrete working case, Blockly2Hooks helps interested non-experts from the community to learn smart contracts easily and adopt the technology, through leveraging well-proven teaching methodologies like visual programming Languages, and more specifically, the Blockly visual programming library from Google. The platform was developed and tested and the results are promising to make learning smart contract development smoother.

关键词： DLT XRP smart contracts visual programming

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Easing Construction of Smart Agriculture Applications Using Low Code Development Tools 1

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19th European-Alliance-for-Innovation (EAI) International Conference on Mobile and Ubiquitous Systems - Computing, Networking and Services (MobiQuitous)

作者： Oteyo, Isaac Nyabisa Pupo, Angel Luis Scull Zaman, Jesse Kimani, Stephen De Meuter, Wolfgang Boix, Elisa Gonzalez Vrije Univ Brussel Software Languages Lab Brussels Belgium Jomo Kenyatta Univ Agr & Technol Sch Comp & Informat Technol Nairobi Kenya

ISBN: (数字)9783031347764

ISBN: (纸本)9783031347757;9783031347764

Smart agriculture applications are a promising path to the future of modern farming. Building smart agriculture applications is a complex undertaking that requires considering different factors, such as the technology that can be used to implement the applications. These factors require advanced skills in software construction, such as handling the distributed setting for smart agriculture applications. As such, implementing smart agriculture applications requires engaging experienced developers with the skills to tackle the issues mentioned above. Low code development tools have risen that domain experts (e.g., agricultural extension workers that give advice to farmers) outside software engineering can use to construct software applications. The low code development tools provide visual programming environments that developers can use intuitively to construct applications. However, the existing low code development tools do not offer support for low infrastructure networking that sensors can use to communicate directly to mobile devices (e.g., smartphones and tablets), computation at the edge, and offline accessibility capabilities at the edge that are crucial for smart agriculture applications. In this paper, we present DisCoPar-K, a low code development tool that supports the properties mentioned above for implementing smart agriculture applications. We show how DisCoPar-K can improve the development of smart agriculture applications by implementing smart agriculture use cases on it.

关键词： mobile applications visual programming smart agriculture Internet of Things cloud computing edge computing

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PotScript: a visual grammar for sculpting with functions 8

PotScript: a visual grammar for sculpting with functions

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8th ACM Symposium on Computational Fabrication (SCF)

作者： McElroy, Leo Huang, Lingdong MIT Cambridge MA 02139 USA

ISBN: (纸本)9798400703195

We present a playful 3D modeling tool that integrates a visual grammar with shaping curves to model forms as parametric functions which can be created and manipulated by novice users. We created a web-based(1), open-source(2), end-to-end design environment for 3D printable forms which were fabricated on clay 3D printers. Users can manipulate forms by directly editing curves which drive transformations to the form's profile as it grows in the z-direction. These transformations can be stacked and composed in a visual postfix language which allows for the creation of parametric designs driven by directly manipulable curves. We pilot tested our program with a small group of ceramicists, artists, and digital fabrication practitioners, which suggested applications in education and art making. PotScript demonstrates an approach to integrating direct manipulation into parametric design which allowed users to create complex forms in small sets of user actions. We aim to make modeling complex 3D forms as approachable as stacking a handful of blocks.

关键词： parametric design visual programming 3D printing ceramics web-based

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