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检索条件"任意字段=18th International Conference on Software Engineering and Knowledge Engineering"

共 35586 条记录，以下是401-410 订阅

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Magnetically Tunable Perfect and Wide Angle thz Metamaterial Absorber 18

Magnetically Tunable Perfect and Wide Angle THz Metamaterial...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Niharika, Neha Singh, Sangeeta Sandip Institute of Engineering and Management Dept. of Electronics and Telecommunication Engineering Nashik India National Institute of Technology Dept. of Electronics and Communication Engineering Patna India

ISBN: (纸本)9789380544519

A magnetically tunable metamaterial-based absorber composed of a periodic array of square ring shape has been theoretically and numerically demonstrated. the proposed structure comprises of semiconducting material Indium Arsenide (InAs) square ring shape over a dielectric substrate backed by metallic layer. Simulation results provides minimum absorptance of 99.1% at 2.565 thz and a maximum absorptance of 99.9% at 2.435 thz by the activation of magnetic field at B=0.2T and 0.6 T as well as provide high tunability of 0.325 thz/T in the maximum resonance spectrum. this structure is further examined for different parameter variations, such as substrate thickness and thickness of InAs square ring shape structure. In addition, the proposed structure provides high angular stability with wide variation in incidence and polarization angle while maintaining absorptivity of 99% all through, as well as rotation of incident waves by 900 provides another control modality over the maximum absorptance frequency. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Magnetically Tunable Magnetostatical materials Meta-atoms Metamaterial Multicontrollability

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A Contribution to MBSE-supported Modeling in Product-Production-CoDesign 18

A Contribution to MBSE-supported Modeling in Product-Product...

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18th Annual IEEE international Systems conference (SysCon)

作者： Martin, Alex Schaefer, Louis Fruend, Juergen Luetzelschwab, Jannis Fischer, Maximilian Lanza, Gisela Albers, Albert Karlsruhe Inst Technol IPEK Inst Prod Engn Karlsruhe Germany Karlsruhe Inst Technol Wbk Inst Prod Sci Kaiserstr 12 Karlsruhe Germany Benteler Automobiltech GmbH Talle 27-29 Paderborn Germany

ISBN: (纸本)9798350358810;9798350358803

this article emphasizes the challenges faced by manufacturers in meeting customer demands for complex products while maintaining cost efficiency and operational flexibility. It argues for a shift towards integrated product and production system development to address these system complexities. Traditionally, product development and production planning have been siloed functions, leading to inefficiencies and issues like extended lead times and cost overruns. the concept of Product-Production-CoDesign (PPCD) was introduced to address this issue and identifies increasing system complexity as a major challenge in future manufacturing, with a lack of support from Model-Based Systems engineering (MBSE) methods. this paper presents an activity-based MBSE methodology to support seamless coordination between product design and production processes. Relevant modeling activities from industrial practice are identified and arranged in a framework. Subsequently, views are developed that enable model-based support in the execution of the activities. Finally, the identified activities and views are implemented using the real example of a production system in the automotive sector.

关键词： Model-Based Systems engineering Production System Planning Product-Production-CoDesign

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Shoot Yourself in the Foot - Efficient Code Causes Inefficiency in Compiler Optimizations 24

Shoot Yourself in the Foot - Efficient Code Causes Inefficie...

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39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Gao, Fengjuan Chen, Hongyu Zhou, Yuewei Wang, Ke Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Nanjing Univ Nanjing Peoples R China Rice Univ Houston TX USA Visa Res Foster City CA 94404 USA

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

In this paper, we take a different angle to evaluate compiler optimizations than all existing works in compiler testing literature. In particular, we consider a specific scenario in software development, that is, when developers manually optimize a program to improve its performance, do compilers actually generate more efficient code with the help of developers' optimizations? To answer this question, we develop a simple approach which consists of (1) deoptimizing a program into a less efficient version of the original program, and then (2) comparing the performance of the generated code from each version of the source code. We realize this approach into a tool, called de3 (detect defects with deoptimizations), and use it to evaluate GCC and LLVM, two state-of-the-art, industry compilers. We observe that the extra optimizations presented in the original programs can be not only unhelpful, but more seriously counterproductive to both GCC and LLVM, resulting in the less efficient code generated overall. Out of our evaluation results, we summarized and reported 53 LLVM and 18 GCC defects, out of which 37 and 17 have been confirmed or fixed. Our work pioneers a new pathway for evaluating compiler optimizations. More importantly, we expect our work to inspire new design principles for compiler development.

关键词： Industries Codes Program processors Source coding Optimization Testing software engineering software development management

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Automated Security Findings Management: A Case Study in Industrial DevOps 44

Automated Security Findings Management: A Case Study in Indu...

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ACM/IEEE 46th international conference on software engineering - software engineering in Practice (ICSE-SEIP)

作者： Voggenreiter, Markus Angermeir, Florian Moyon, Fabiola Schoepp, Ulrich Bonvin, Pierre Ludwig Maximilians Univ Munchen Siemens Technol Munich Germany Fortiss GmbH Munich Germany Tech Univ Munich Siemens Technol Munich Germany Munich Univ Appl Sci Munich Germany

ISBN: (纸本)9798400702174

In recent years, DevOps, the unification of development and operation workflows, has become a trend for the industrial software development lifecycle. Security activities turned into an essential field of application for DevOps principles as they are a fundamental part of secure software development in the industry. A common practice arising from this trend is the automation of security tests that analyze a software product from several perspectives. To effectively improve the security of the analyzed product, the identified security findings must be managed and looped back to the project team for stakeholders to take action. this management must cope with several challenges ranging from low data quality to a consistent prioritization of findings while following DevOps aims. To manage security findings with the same efficiency as other activities in DevOps projects, a methodology for the management of industrial security findings minding DevOps principles is essential. In this paper, we propose a methodology for the management of security findings in industrial DevOps projects, summarizing our research in this domain and presenting the resulting artifact. As an instance of the methodology, we developed the Security Flama, a semantic knowledge base for the automated management of security findings. To analyze the impact of our methodology on industrial practice, we performed a case study on two DevOps projects of a multinational industrial enterprise. the results emphasize the importance of using such an automated methodology in industrial DevOps projects, confirm our approach's usefulness and positive impact on the studied projects, and identify the communication strategy as a crucial factor for usability in practice.

关键词： DevOps security software engineering security findings management

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Improved Blood Vessel and Optic Disc Segmentation for Automatic Detection of Diabetic Retinopathy 18

Improved Blood Vessel and Optic Disc Segmentation for Automa...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Yawle, Rajesh U. Mane, Pradeep B. AISSMSIOIT Pune Sinhgad Academy of Engineering Dept. of Electronics and Telecommunication Engineering Maharashtra Pune India Aissmsioit Dept. of Electronics and Telecommunication Engineering Maharashtra Pune India

ISBN: (纸本)9789380544519

A serious condition that threatens vision and results in blindness in persons of working age is diabetic retinopathy (DR). this work provides an inimitable approach for recognizing the optic disc (OD) established on the circular Hough Transform and mathematical morphology. the present work involves the performance of iterative blood vessel segmentation to segment the retinal veins and arteries for screening of DR. Retinal image processing requires both the optic disc and the vascular architecture, which act as landmarks for image identification. there is a lot of potential in the proposed method for automated retinal artery segmentation. this research implements segmentation in various phases that include blood vessels, optic disc, and exudates. Our method generates a two-dimensional odd-symmetric Gabor filter (GF). Finally, for DR, this work employs a Gabor-based texture descriptor in combination with Statistical Features, Colour Moments (CM), and Gray-Level Co-occurrence Matrix (GLCM). © 2024 Bharati Vidyapeeth, New Delhi.

关键词： ANN Blood Vessel Segmentation Color Moments Diabetic Retinopathy Gabor Filter GLCM

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Prediction of Cardiac Arrest using Generalized Soft Computing Techniques 18

Prediction of Cardiac Arrest using Generalized Soft Computin...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Hota, Radhanath Dash, Sachikant Mishra, Sujogya Das, Subhalaxmi Lenka, S. Pradhan, G. Giet University Department of Computer Science Engineering Odisha Gunupur India Gandhi Institute for Education and Technology Department of Computer Science Engineering Odisha Gunupur India Odisha University of Technology and Research Department of Mathematics Bhubaneswar India Odisha University of Technology and Research Dept. of Computer Science and Engineering Bhubaneswar India Utkal University Department of Computer Science and Application Bhubaneswar India

ISBN: (纸本)9789380544519

Cardiac-related diseases always lead to fatal consequences around the globe. this research includes vague data analysis of the data related to cardiac anomalies. this study proposes a method to develop a dimension reduction model using vague data related to cardiac diseases using rough set theory (RST). the overall research is divided into two different sections. the first section of this study proposes analyses of the raw cardiac-related data using RST, and the second section calculates the performance accuracy using Principal Component Analysis (PCA) applied to the universal data set;the performance measures also include a combination of two Universal data sets. the above claims are verified using statistical tests © 2024 Bharati Vidyapeeth, New Delhi.

关键词： PCA Performance and accuracy Rough Set theory Statistical method Vague data

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Prevention of Security Attacks at Wireless Network Layers using Machine Learning Techniques 18

Prevention of Security Attacks at Wireless Network Layers us...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Ramisetty, Sowjanya Ghantasala, G. S. Pradeep Gupta, Gaurav Sonia Kg Reddy College of Engineering & Technology Department of Computer Science and Engineering Hyderabad India Alliance University Department of Computer Science and Engineering Bengaluru India Shoolini University Yogananda School of Artificial Intelligence Computers and Data Sciences Solan India

ISBN: (纸本)9789380544519

Wireless sensor networks have great potential for use in flood control, weather forecasting systems, the military, and the healthcare industry. A WSN's nodes are connected to one another and share information. When sending data between nodes, data security is essential. In the world of networking, security is a top priority. Data travels along a path when it is transferred from one location to another, increasing the likelihood that a rogue node would enter the network. Detecting malicious nodes within a network presents a formidable challenge, particularly due to external assaults on data packets during their transmission between nodes. Hackers take advantage of weaknesses to manipulate and alter data as it travels from the source node to the destination node. this paper looked at machine learning algorithm-based preventive measures and layer-level security challenges. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Machine Learning Security Security attacks Wireless Sensor Networks

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Understanding Fairness in software engineering: Insights from Stack Exchange Sites 24

Understanding Fairness in Software Engineering: Insights fro...

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18th ACM/IEEE international Symposium on Empirical software engineering and Measurement, ESEM 2024

作者： Sesari, Emeralda Sarro, Federica Rastogi, Ayushi University of Groningen Groningen Netherlands University College of London London United Kingdom

ISBN: (纸本)9798400710476

software practitioners often discuss technical and social workplace issues, both in-person and online. One such social issue is fairness. As research on fairness in software engineering expands, it often concentrates on specific issues. this exploratory study provides discussions on Stack Exchange sites, focusing on the experiences and expectations of fairness in software engineering. We also want to identify the fairness aspects software practitioners talk about the most. For example, do they care more about fairness in income or how they are treated in the workplace? Our investigation of fairness discussions on eight Stack Exchange sites resulted in a list of 136 posts (28 questions and 108 answers) manually curated from 4,178 candidate posts. the study reveals that the majority of fairness discussions revolve around the topic of income suggesting that many software practitioners are highly interested in matters related to their pay and how it is fairly distributed. Further, we noted that while not discussed as often, discussions on fairness in recruitment tend to receive the highest number of views and scores. Interestingly, the study shows that unfairness experiences extend beyond the protected attributes, with gender mainly being discussed. © 2024 Owner/Author.

关键词： Social software

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A Dual-Action Approach to Mosquito Control: Harnessing Mosquitoes Affinity for Light with Metofluthrin's Lethality 18

A Dual-Action Approach to Mosquito Control: Harnessing Mosqu...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Mittal, Manisha Singh, Mahender Dewan, Prachi Singh, Prabhmeet Dept. of Electronics and Communication Engineering New Delhi India Dept. of Computer Science and Engineering New Delhi India

ISBN: (纸本)9789380544519

Amidst rapid urbanization and fluctuating climatic patterns, the world witnessed a surge in mosquito-borne diseases, escalating global health concerns. Mosquitoes, often dismissed as mere irritants, are carriers for a spectrum of conditions, including malaria, dengue, and the Zika virus, with WHO reporting large numbers of dengue cases annually. this review delves deep into the observation of mosquito behavior and the challenges in eradicating these pests, emphasizing the inefficacy of singular sensory targeting repellents. this paper introduces a pioneering device, combining the mosquito's affinity towards light with the suffocating effects of metofluthrin, offering a holistic solution. By the combination of advanced engineering with a comprehensive understanding of mosquito behavioral dynamics, this device promises not only to repel but to substantially reduce these vectors, fostering safer indoor spaces. through a detailed exploration of current methodologies and the introduction of this integrated strategy, this paper provides insights into creating a healthier, mosquito-free environment. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： fluorescent light metofluthrin mosquito control mosquito-borne diseases multifaceted sensory system

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Analysis of CNN Models using Augmented Data in Tomato Diseases 18

Analysis of CNN Models using Augmented Data in Tomato Diseas...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Sharma, Pavan Yadav, Rakesh Kumar Rawat, Sur Singh Iftm University Department of Computer Science and Engineering Moradabad India Maharishi University of Information Technology Department of Computer Science and Engineering Lucknow India Jss Academy of Technical Education Department of Computer Science and Engineering Noida India

ISBN: (纸本)9789380544519

A vital source of nourishment for millions of people, tomatoes are one of the most significant vegetables in the world. However, many diseases may substantially decrease the yield and quality of tomato plants. Early blight, Late blight and Powdery mildew are the three most destructive diseases in tomatoes that have the capacity to drastically lower tomato crop yields. A trusted and efficient automated approach for identifying diseases needs to be created in order to address this problem. To recognize the three primary disorders that impact tomato plants based on leaf images, we created a model using a convolution neural network (CNN) and data augmentation. We also compared the performance of different CNN models, and assessed its efficacy. With an average accuracy rate of -61.75% and average loss of 6.75%, theResNet50 model is a valuable tool that tomato growers can use to keep the diseases mentioned above from affecting their tomatoes during the harvesting process. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： augmentation CNN mobilenet resnet50 vgg16 xception

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