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检索条件"任意字段=19th International Conference on Software Engineering and Knowledge Engineering"

共 37403 条记录，以下是561-570 订阅

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APPLICATION OF DIELECTRIC BARRIER DISCHARGE PLASMA JET FOR ENHANCED WETTABILITY OF TI GRADE 23 ALLOY 19

APPLICATION OF DIELECTRIC BARRIER DISCHARGE PLASMA JET FOR E...

引用

ASME 19th international Manufacturing Science and engineering conference (MSEC) held jointly with the 52nd North American Research conference (NAMRC)

作者： Bhardwaj, Aryan Bayki, Shayan Mujumdar, Soham Indian Inst Technol Mumbai Maharashtra India

ISBN: (纸本)9780791888117

Numerous methods, including chemical etching, ultraviolet radiation, and plasma treatment, are used to functionalize the surface of metallic biomedical implants and enhance osseointegration. Among these techniques, the atmospheric pressure dielectric barrier discharge (DBD) plasma jet stands out as a promising process due to its numerous advantages, including lower operational power requirements, a cost-effective setup, and short processing times. Moreover, the plasma jet demonstrates superior flexibility in treating surfaces of components with complex geometries, such as biomedical implants. this research investigates the surface treatment process utilizing a DBD plasma jet to improve the surface wettability and decontamination of Titanium (Ti) Grade 23 for biomedical applications. An increase in the surface wettability of the plasma-treated Ti substrate is demonstrated by a reduction in the water contact angle (WCA), which is linked to the changes in the surface chemistry. the Xray photoelectron spectroscopy (XPS) analysis reveals that the interaction of Argon plasma with the Ti surface results in the formation of oxide metallic bonds, such as TiO2 and Ti2O3, while simultaneously removing carbon bonds like CO, TiC, and other organic components. this dual action leads to an increase in surface hydrophilicity and facilitates carbon-based decontamination. Further exploration of the effects of plasma treatment is conducted via a parametric study incorporating key plasma parameters such as plasma power, treatment time, and gas flow rate. While the water contact angle is insensitive to the gas flow rate, it is affected by the plasma power and treatment time. An increase in power from 2.4 W to 6 W reduces the water contact angle, followed by an increase due to a subsequent increase in power from 6 W to 13 W. the area treated by the plasma jet expands with higher plasma power or increased flow rate. the study demonstrates that a DBD Argon plasma jet operating at 2.4 W pow

关键词： DBD plasma jet Titanium Wettability Biomedical Implants Surface engineering

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COMBINING PHYSICS-BASED MODELING AND ARTIFICIAL INTELLIGENCE FOR thE OPTIMIZATION OF BATTERY MANUFACTURING PROCESSES 19

COMBINING PHYSICS-BASED MODELING AND ARTIFICIAL INTELLIGENCE...

引用

ASME 19th international Manufacturing Science and engineering conference (MSEC) held jointly with the 52nd North American Research conference (NAMRC)

作者： Franco, Alejandro A. Vijay, Utkarsh Saravanan, Soorya Univ Picardie Jules Verne Lab Reactivite & Chim Solides LRCS UMR CNRS 7314 15 Rue Baudelocque F-80039 Amiens France Reseau Sur Stockage Electrochim Energie RS2E Fr CNRS 3459 15 Rue Baudelocque F-80039 Amiens France ALISTORE European Res Inst Fr CNRS3104 15 Rue Baudelocque F-80039 Amiens France Inst Univ France 103 Blvd St Michel F-75005 Paris France

ISBN: (纸本)9780791888117

the rapid scaling up and process optimization of manufacturing are essential to keep up with current demand and reduce the cost of lithium-ion batteries. In particular, electrode and cell processing and optimization are key in ensuring reliable lithium-ion batteries. Here, we explain how our hybrid modeling approach, combining physics-based simulations and artificial intelligence, can be used to gain insights into performance-manufacturing relationships and optimize the battery cell manufacturing processes. this hybrid approach is a powerful tool that can simulate the various manufacturing steps from powder to power. With this approach, in combination with the acquisition of battery manufacturing pilot line data, it is possible to perform inverse design of the electrode microstructures and cells for optimal properties. A wide diversity of process parameters is taken into account, such as those in the slurry, its drying, and the resulting electrode calendering, together with the parameters associated with the electrolyte filling, the formation, and the electrochemical operation. We briefly discuss various works done under the umbrella of our ARTISTIC project initiative, demonstrating a comprehensive hybrid approach to pave the way toward digital twins of the manufacturing process of lithium-ion and (also) next-generation battery cells.

关键词： Modelling and simulation Process engineering Sustainable Manufacturing

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the General Index of software engineering Papers

The General Index of Software Engineering Papers

引用

19th international conference on Mining software Repositories (MSR)

作者： Abou Khalil, Zeinab Zacchiroli, Stefano INRIA Paris France Inst Polytech Paris Telecom Paris LTCI Paris France

ISBN: (纸本)9781450393034

We introduce the General Index of software engineering Papers, a dataset of fulltext-indexed papers from the most prominent scientific venues in the field of software engineering. the dataset includes both complete bibliographic information and indexed ngrams (sequence of contiguous words after removal of stopwords and non-words, for a total of 577 276 382 unique n-grams in this release) with length 1 to 5 for 44 581 papers retrieved from 34 venues over the 1971 2020 period. the dataset serves use cases in the field of meta-research, allowing to introspect the output of software engineering research even when access to papers or scholarly search engines is not possible (e.g., due to contractual reasons). the dataset also contributes to making such analyses reproducible and independently verifiable, as opposed to what happens when they are conducted using 3rd-party and non-open scholarly indexing services. the dataset is available as a portable Postgres database dump and released as open data.

关键词： dataset academic publishing software engineering ngrams meta-analysis natural language processing fulltext index

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Optimizing 3D-Printed Concrete Mixtures for Extraterrestrial Habitats: A Machine Learning Framework 19

Optimizing 3D-Printed Concrete Mixtures for Extraterrestrial...

引用

19th Biennial international conference on engineering, Science, Construction, and Operations in Challenging Environments, Earth and Space 2024

作者： Hoang, Pham Duy Moon, Hyosoo Ahn, Yonghan Center for AI Technology in Construction Hanyang Univ. ERICA Ansan Korea Republic of Dept. of Civil Architectural and Environmental Engineering North Carolina A&T State Univ United States Dept. of Architectural Engineering Hanyang Univ. ERICA Ansan Korea Republic of

ISBN: (数字)9780784485736

ISBN: (纸本)9780784485736

the utilization of 3D printing technology for the construction of habitats and infrastructure on celestial bodies such as the Moon and Mars presents an increasingly fascinating prospect in space construction research. the success of 3D printing constructions heavily depends on the rheological and mechanical properties of 3D-printed concrete influenced by several factors such as nozzle speed, interlayer interval time, and environmental conditions. However, existing studies have not addressed the challenge of real-time optimization of concrete mixtures under constantly changing conditions, including temperature, humidity, pressure, and gravity on other planets. Potentially, machine learning (ML) offers advantages in terms of data-driven optimization, flexibility, cost, and time savings and handling complex relationships on optimization tasks. this study aims to identify and propose a framework for applying ML in real-time optimization of concrete mixture and printing parameters. the framework involves identifying influential factors to optimizing a 3D-printed concrete mix and printing parameters, thereby developing an optimization framework specifically tailored to the extraterrestrial environment. the study result explored the feasibility of using machine learning techniques for real-time optimizing concrete mixtures in 3D printing construction on celestial bodies. the expected contribution of the study lies in introducing data-driven optimization techniques that provide adaptability to changing environmental conditions, improving the efficiency and reliability of construction in space. © ASCE.

关键词： Concrete mixers

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Empirical Research on Secure Development in Agile Methods: A Systematic Literature Review 12

Empirical Research on Secure Development in Agile Methods: A...

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12th international conference in software engineering Research and Innovation, CONISOFT 2024

作者： Abdala-Garcia, Valeria Perez-Arriaga, Juan Carlos Ocharan-Hernandez, Jorge Octavio Juarez-Ramirez, Reyes Universidad Veracruzana Xalapa Facultad de Estadística e Informatica Veracruz Mexico Universidad Autónoma de Baja California Facultad de Ciencias Químicas e Ingeniería Baja California Mexico

ISBN: (纸本)9798331532116

Although agile methods and secure software development often operate under different principles, the need to integrate both approaches has gained attention due to growing security concerns in software development. As a result, there has been an increase in empirical research in this area. this study aims to analyze the current state of empirical research on secure development within agile methods, focusing on the empirical methods applied, the challenges, and the findings. A systematic literature review was conducted, selecting 33 studies through defined inclusion and exclusion criteria, followed by identifying the trends and patterns in the collected data. the selected studies highlight various empirical methods used to evaluate the integration of security practices in agile environments. Common challenges were identified, providing a comprehensive view of the areas needing development. © 2024 IEEE.

关键词： Agile software Development Narrative Synthesis Secure software Systematic Literature Review

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Design and Fabrication of Bengali Braille Embosser Using Solenoid 9

Design and Fabrication of Bengali Braille Embosser Using Sol...

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9th IEEE international conference for Convergence in Technology, I2CT 2024

作者： Momin, Reshad Ibn Das, Ratan Kumar Raxit, Sourav Muna, Umme Salma Al Miraj, Abdullah University of Southern Denmark-SDU Dept. of Mechanical & Electrical Engineering Sønderborg Denmark Chittagong University of Engineering & Technology Dept. of Mechanical Engineering Chattogram4349 Bangladesh University of New Orleans Department of Computer Science United States American International University Dept. of Computer Science & Engineering Dhaka Bangladesh Chittagong University of Engineering & Technology Dept. of Electrical & Electronic Engineering Chattogram4349 Bangladesh

ISBN: (纸本)9798350394474

this paper presents the design and development of a low-cost and user-friendly Bengali braille embosser for the visually impaired population in Bangladesh. To produce braille text, the embosser employs a shifting mechanism and an Embosser head, both controlled by an Arduino microcontroller. A software has also been developed to allow users with basic printer knowledge to operate the embosser. Access to educational resources and reading materials is limited for people with disabilities in Bangladesh, and the availability of Bengali braille writing machines is scarce. the proposed solution aims to address these challenges and improve the learning and communication capabilities of visually impaired individuals. © 2024 IEEE.

关键词： arduino braille embosser portable speed

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Development of a web system with an automated question generator based on large language models 11

Development of a web system with an automated question gener...

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11th international conference on Electrical, Electronic and Computing engineering, IcETRAN 2024

作者： Hrvačević, Luka Cincović, Jelica Milaković, Adrian Jocović, Vladimir Matveiev, Valerijan Drašković, Dražen University of Belgrade School of Electrical Engineering Belgrade Serbia

ISBN: (纸本)9798350386998

In this paper, we describe the possibility of using large language models (LLMs) in education through the development of a modern web system. A web-based platform employing LLMs to produce questions and answers spanning diverse domains, drawing upon Serbian Wikipedia as its primary knowledge repository. Leveraging LLMs for question-and-answer generation represents a novel methodology in quiz development. Additionally, incorporating Wikipedia enhances the accuracy and pertinence of the generated questions, thereby enriching the overall user experience. © 2024 IEEE.

关键词： automatic question generators knowledge quiz large language models

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Design and Implementation of SDR-Based Monopulse Target Tracking System 20

Design and Implementation of SDR-Based Monopulse Target Trac...

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20th international conference on Natural Computation, Fuzzy Systems and knowledge Discovery, ICNC-FSKD 2024

作者： Lin, Jiajun Wu, Jin Xiong, Hao Tian, Jinhang Xi'an University of Posts and Telecommunications Dept. School of Electronic Engineering Xi'an China

ISBN: (纸本)9798350356328

With the continuous development of communication technology, people put forward higher requirements on the accuracy and response speed of the target tracking system. therefore, it is of great academic and engineering significance to design a low-cost, small-size, high-precision target tracking system. In this paper, a software Defined Radio (SDR) platform based on AD9361+Field Programmable Gate Array (FPGA) architecture is designed as the receiver of the target tracking system based on the phase comparison method using the principle of monopulse goniometry. the down-conversion single board designed with the receiver is capable of receiving and processing X-band or S-band signals, which can realize target tracking in a variety of application scenarios. the receiver system design is small in size, low in cost, wide in application, and also features high accuracy, demonstrating strong engineering practical value. © 2024 IEEE.

关键词： Target tracking

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CAPS: An Efficient Whole-Program Critical Paths Search Framework for Large-Scale software 35

CAPS: An Efficient Whole-Program Critical Paths Search Frame...

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35th international conference on software engineering and knowledge engineering, SEKE 2023

作者： Li, Peiyang Liu, Zixin Su, Yuening Wang, Hao Jiang, Bo State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University China

Tracking the flow of external inputs in a program with taint-analysis techniques can help developers better identify potential security vulnerabilities in the software. However, directly using the static taint analysis provided by Clang Static Analyzer is inefficient for large-scale software due to the huge but redundant ExplodedGraph generated. therefore, we propose an efficient Whole-Program Critical Paths Search (CAPS) framework. It first performs a set of optimizations to reduce the ExplodedGraph of each function. then, it constructs a global exploded graph by inserting call edges among the reduced ExplodedGraphs for each function within the Neo4j graph database. Finally, it proposes loop removal and graph segmentation to optimize the search process for critical paths on the global exploded graph. Our experiments on 3 large-scale software show that CAPS can significantly improve the efficiency of critical path search for large-scale software. © 2023 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Static analysis

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A Medical Image Segmentation Method based on Multi-scale Features and Contour Loss Constrain 36

A Medical Image Segmentation Method based on Multi-scale Fea...

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36th international conference on software engineering and knowledge engineering, SEKE 2024

作者： Niu, Jian Fang, Zhijun Qian, Chen Qiu, Xihe School of Computer Science and Technology Donghua University Shanghai China School of Electrical and Electronic Engineering Shanghai University Of Engineering Science Shanghai China

ISBN: (纸本)1891706594

In recent years, deep learning has made breakthroughs in medical image segmentation, especially the U-Net architecture, which is becoming a benchmark for various medical image segmentation tasks due to the accuracy of its segmentation results. Although U-Net has achieved great success in many medical image segmentation tasks, it is still unsatisfactory in segmenting object boundaries and small objects. this is due to the fact that segmentation networks gradually lose information, especially edge information and small object information, during the process of convolution and downsampling of features. In order to solve the above problems, we design a novel method that uses a multi-scale module as a feature extractor in the contraction path of the U-shaped structure, which better captures the scale changes of the target object by acquiring image features at different scales;in the prediction stage, a contour prediction branch is constructed to constrain the loss of the target's contour, so that the segmentation network pays more attention to the boundaries of the target. We have validated the performance of our method on the Automated Cardiac Diagnosis Challenge (ACDC) and the spleen segmentation tasks of the Medical Segmentation Decathlon (MSD). the results show that our method obtained the best 95% Hausdorff Distance (HD) metrics on both the ACDC dataset and the Spleen dataset, as well as being quite competitive with other state-of-the-art methods in terms of Dice scores. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Image segmentation

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