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共 66504 条记录，以下是231-240 订阅

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Enhancing Fiber Bragg Grating Sensor Signal Prediction via Edge computing in Sensor Networks 24

Enhancing Fiber Bragg Grating Sensor Signal Prediction via E...

引用

international conference on Algorithms, software engineering, and Network Security (ASENS)

作者： Liu, Lin Huang, Liyuan Xiamen Univ Sch Informat Sci & Technol Tan Kah Kee Coll Zhangzhou 363105 Fujian Peoples R China

ISBN: (纸本)9798400709784

This paper endeavors to advance the prediction of Fiber Bragg Grating (FBG) sensor signals using data-driven edge computing, thereby extending the utility of data exchange-based edge computing within sensor networks. The initial focus entails devising a sensor network system founded on data exchange principles seamlessly applied to a highway construction project. Subsequently, an algorithm is introduced to predict anomaly signals from FBG sensors, mitigating errors stemming from external environmental interferences affecting the sensors. Temperature data from the sensors is then leveraged for multi-depth temperature detection (2 cm, 10 cm, and 20 cm), revealing anomalous temperature readings of 4.8., 1.5., and -0.25.. Results attest to the efficacy of the proposed data exchange-driven edge computing method in FBG sensor signal prediction, demonstrating a true positive rate of 90.22% and a false negative rate of 9.0%. Following data training, the prediction algorithm yields a coefficient of determination of 0.876, emblematic of the successful integration of data exchange-based edge computing into FBG sensor signal prediction. Remarkably, edge computing markedly reduces data transfer latency and alleviates network load, surpassing traditional cloud-based data transfer in processing. Moreover, edge computing showcases exceptional real-time capabilities, facilitating more timely and precise FBG sensor result prediction.

关键词： data exchange edge computing fiber grating sensor prediction of sensing signals abnormal signal detection

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Curriculum for a New Five-Year Academic Program in Intelligent Systems engineering and software engineering

Curriculum for a New Five-Year Academic Program in Intellige...

引用

international conference on Computational Science and Computational Intelligence (CSCI)

作者： Solo, Ashu M. G. Maverick Trailblazers Inc Wilmington DE 19805 USA

ISBN: (纸本)9798350361513;9798350372304

This research paper proposes a curriculum for a five-year academic program with a bachelor's degree (honors) in intelligent systems engineering and software engineering and a master's degree in intelligent systems engineering and software engineering. This program includes courses in data structures, compiler design, operating system design, firmware design, database systems, computer graphics and virtual reality design, static and dynamic website design, development of chatbots and voice assistants, software engineering methodology, knowledge-based systems, fuzzy logic, neural networks, evolutionary computation, evolutionary multiojective optimization, machine learning, image processing, computer vision, pattern recognition, voice recognition, natural language processing, data science, control systems, intelligent control systems, robotics, digital signal processing, mathematics, engineering physics, biology, etc. These degrees will allow graduates to have a good understanding of all of the main branches of intelligent systems engineering and software engineering as well as other relevant subjects in electrical and computer engineering.

关键词： education intelligent systems computational intelligence soft computing artificial intelligence machine learning software development firmware development

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Optimization of parallel compilation techniques using genetic algorithms

Optimization of parallel compilation techniques using geneti...

引用

2024 international conference on Computer Network Security and software engineering, CNSSE 2024

作者： Han, Lin Yan, Pengyan Zhengzhou University Henan Zhengzhou450001 China National Super Computing Center in Zhengzhou Henan Zhengzhou450001 China

ISBN: (纸本)9781510680234

This paper addresses the issue of low parallel efficiency resulting from fixed thread allocation in automatic parallelization compilation technology. The authors employ a genetic algorithm to determine the optimal number of threads for individual parallelizable loops. They then utilize iterative compilation techniques to produce the suitable number of threads for each parallelizable loop structure, thereby enhancing the efficiency of automatic parallelization compilation. The proposed method demonstrated an average performance enhancement of 26% across 10 benchmarks in the SPEC CPU2006 test suite and an overall performance improvement of 3.7% in the NPB3.4.2 test suite, thereby indicating the viability and efficacy of the approach. The approach outlined in this paper can be utilized as a benchmark for enhancing the effectiveness of automated parallel computing and promoting the progression of automated parallel computing technology. © 2024 SPIE.

关键词： Genetic algorithms

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Knowledge Management Process and Innovation Capabilities in the software engineering Sector in Sri Lanka 4

Knowledge Management Process and Innovation Capabilities in ...

引用

4th international conference on Advanced Research in computing, ICARC 2024

作者： Wickramasinghe, Samanthi Thilakarathne, Chathuni Hettiarachchi, Sunesh School of Computing Esoft Metro Campus Colombo Sri Lanka Faculty of It Horizon Campus Malabe Sri Lanka Tech Computers Pepiliyana Sri Lanka

ISBN: (纸本)9798350384864

A number of technological developments, including those in the areas of artificial intelligence, machine learning, and the internet of things, have contributed to the fast expansion of software engineering. It is essential for businesses to have this sector since it makes it possible to automate processes, reduces expenses, and enhances customer satisfaction by connecting different capabilities. There will be 28.7 million software engineers working around the globe by the year 2024. By the year 2027, it is anticipated that the market would have reached a total value of 1039 million. On the other hand, the imbalance between supply and demand in the sector is the primary factor that is driving the need for outsourcing solutions. The sector is currently confronted with significant challenges that are associated with capacity, information sharing, and priority problems. software engineers in Sri Lanka have difficulties in locating developers with the necessary skills and in adjusting to the quickly changing technical environment. It is vital that the industry shift its focus from providing services to manufacturing tangible items in order to achieve growth and generate positive cash flows. An empirical investigation was undertaken to examine the correlation between knowledge management and innovation capabilities in the software engineering industry of Sri Lanka. The findings demonstrated a robust and affirmative association between the capacity for innovation and the processes of generating, disseminating, and implementing knowledge. The regression model showed that knowledge creation, transfer, and application are influenced by innovation capabilities, with 86% of the variance of innovation capabilities being attributed to these factors. © 2024 IEEE.

关键词： software engineering

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Resource Scheduling of High-Performance computing Clusters based on the Combination of Ant Colony Algorithm and Active Caching Strategy 3

Resource Scheduling of High-Performance Computing Clusters b...

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3rd international conference on Cloud computing, Big Data Application and software engineering, CBASE 2024

作者： Bai, Xuemei Zhou, Jingbo Wang, Zhijun School of Electronic Information Engineering Changchun University of Science and Technology Changchun130012 China School of Coumputer Science and Technology Changchun Normal University Changchun130123 China

ISBN: (纸本)9798331506582

In recent years, the HPC cluster has developed rapidly and has become an important tool to solve large-scale and complex computing problems. However, in a cluster environment, how to efficiently schedule HPC cluster resources has become a problem worthy of attention. Based on this, this paper proposes a scheduling strategy that integrates the ant colony algorithm and active cache to minimize resource scheduling time and maximize resource utilization. Simulation results show that compared with the ant colony algorithm, the new strategy proposed in this paper can improve the efficiency of resource scheduling, significantly reduce the scheduling time, greatly improve the resource utilization rate, and significantly reduce the job loss rate. © 2024 IEEE.

关键词： Scheduling algorithms

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OvOptix: Optical Based Egg Sorting Technology

OvOptix: Optical Based Egg Sorting Technology

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2024 international conference on Computer engineering, Network and Intelligent multimedia, CENIM 2024

作者： Matias, Jenirose Binayug, Joshua Nikolai Melad, James Carl Ogoy, Romar John Lorenzo, Ariel Decena, Rudylene School of Architecture Computing and Engineering University of Saint Louis Cagayan Tuguegarao City Philippines

ISBN: (纸本)9798350368802

This paper introduces a machine learning and AI-based system for detecting internal and external irregularities in table eggs, addressing the limitations of current egg sorting machines. By leveraging Internet of Things (IoT) technology, the system determines if an egg is defective. YOLOv8 and machine vision were integrated for enhanced detection, using a web camera to capture images and reveal defects not visible through traditional methods. The system's lightweight design is ideal for real-time detection with limited computational resources. A custom egg tray facilitated dataset collection, achieving 96.8% effectiveness, 95.1% reliability, and 91.2% usability. The system demonstrated live detection with an average speed of 450 milliseconds, proving that the OvOptix machine can efficiently meet the high production demands of the egg market. © 2024 IEEE.

关键词： Machine vision

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Comprehensive Library of Variational LSE Solvers 5

Comprehensive Library of Variational LSE Solvers

引用

2024 international conference on Quantum computing and engineering

作者： Meyer, Nico Roehn, Martin Murauer, Jakob Plinge, Axel Mutschler, Christopher Scherer, Daniel D. Fraunhofer Inst Integrated Circuits IIS Fraunhofer IIS Nurnberg Germany

ISBN: (纸本)9798331541378

Linear systems of equations can be found in various mathematical domains, as well as in the field of machine learning. By employing noisy intermediate-scale quantum devices, variational solvers promise to accelerate finding solutions for large systems. Although there is a wealth of theoretical research on these algorithms, only fragmentary implementations exist. To fill this gap, we have developed the variational-lse-solver framework, which realizes existing approaches in literature, and introduces several enhancements. The user-friendly interface is designed for researchers that work at the abstraction level of identifying and developing end-to-end applications.

关键词： Terms quantum computing variational quantum algorithms quantum machine learning quantum software library quantum linear algebra linear system of equations

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PraxiPaaS: A Decomposable Machine Learning System for Efficient Container Package Discovery 12

PraxiPaaS: A Decomposable Machine Learning System for Effici...

引用

12th international conference on Cloud engineering

作者： Zhang, Zongshun Kumar, Rohan Li, Jason Korver, Lisa Byrne, Anthony Stringhini, Gianluca Matta, Ibrahim Coskun, Ayse Boston Univ Boston MA 02215 USA Red Hat Inc Raleigh NC USA

ISBN: (纸本)9798331528690;9798331528706

Due to the increasing complexity of cloud architectures, automatically tracking and inspecting container packages in Platform-as-a-Service (PaaS) clusters are challenging tasks. This introspection capability, however, is critical to identify vulnerable packages and compile an accurate software Bill of Materials (SBOM). Motivated by introspection frameworks focusing on virtual machine (VM) settings and ML methods for software discovery, we design PraxiPaaS as a framework to inspect PaaS container images with a highly scalable ML inference pipeline by scanning file changes during package installations. Our ML pipeline includes a structured collection of word2vec encoders and a corresponding structured ML model to achieve short incremental training time for incorporating additional packages while maintaining a high F1-score in generating the SBOM. Our evaluation shows that our structured ML pipeline provides an exponential drop in incremental training time from 2.8 hours to 8.6s with 32 CPU cores, while maintaining an F1-score of 0.82, compared to the traditional monolithic model design. We deploy a prototype of PraxiPaaS in the New England Research Cloud (NERC) OpenShift cluster and evaluate the inference time comparing structured versus monolithic model design.

关键词： cloud computing machine learning model decomposition PaaS software discovery SBOM

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Execution Management of Distributed Quantum computing Jobs 5

Execution Management of Distributed Quantum Computing Jobs

引用

2024 international conference on Quantum computing and engineering

作者： Ferrari, Davide Bandini, Michele Amoretti, Michele Univ Parma Dept Engn & Architecture Quantum Software Lab I-43124 Parma Italy

ISBN: (纸本)9798331541378

In a distributed quantum computation, a large quantum circuit gets sliced into sub -circuits that must be executed at the same time on a quantum computing cluster. The interactions between the sub -circuits are usually defined in terms of non -local gates that require shared entangled pairs and classical communication between different nodes. Assuming that multiple end users submit distributed quantum computing (DQC) jobs to the cluster, an execution management problem arises. This is actually a parallel job scheduling problem, in which a set of jobs of varying processing times need to be scheduled on multiple machines while trying to minimize the length of the schedule. In a previous work, we started investigating the problem considering random circuits and approximating the length of each DQC job with the number of layers of the circuit. In this work, we put forward the study by considering a more realistic model for estimating DQC job lengths and by performing evaluations with circuits of practical interest.

关键词： distributed quantum computing execution management job scheduling quantum network

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Ghost Echoes Revealed: Benchmarking Maintainability Metrics and Machine Learning Predictions Against Human Assessments 40

Ghost Echoes Revealed: Benchmarking Maintainability Metrics ...

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40th international conference on software Maintenance and Evolution

作者： Borg, Markus Ezzouhri, Marwa Tornhill, Adam CodeScene Malmo Sweden Lund Univ Lund Sweden Univ Clermont Auvergne Clermont Ferrand France

ISBN: (纸本)9798350395693;9798350395686

As generative AI is expected to increase global code volumes, the importance of maintainability from a human perspective will become even greater. Various methods have been developed to identify the most important maintainability issues, including aggregated metrics and advanced Machine Learning (ML) models. This study benchmarks several maintainability prediction approaches, including State-of-the-Art (SotA) ML, SonarQube's Maintainability Rating, CodeScene's Code Health, and Microsoft's Maintainability Index. Our results indicate that CodeScene matches the accuracy of SotA ML and outperforms the average human expert. Importantly, unlike SotA ML, CodeScene also provides end users with actionable code smell details to remedy identified issues. Finally, caution is advised with SonarQube due to its tendency to generate many false positives. Unfortunately, our findings call into question the validity of previous studies that solely relied on SonarQube output for establishing ground truth labels. To improve reliability in future maintainability and technical debt studies, we recommend employing more accurate metrics. Moreover, reevaluating previous findings with Code Health would mitigate this revealed validity threat.

关键词： software engineering maintainability software metrics benchmarking machine learning

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