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International conference on Communications, Information System and computer engineering (CISCE)

作者： Xin Zhou Jianmin Pang Chunyan Zhang Feng Yue Junchao Wang Guangming Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

software vulnerability detection is crucial for maintaining the security and stability of software systems. In this paper, we propose a novel neural network model called TS-GGNN to address the problem of vulnerability detection in source code slices. the TS-GGNN model effectively captures both local and global features of vulnerable code by fusing sequence features with graph features. To achieve this, we utilize graph structure and sequence structure learning approaches to comprehensively extract valuable information from the source code slices. Our experiments are conducted on the SARD dataset, which consists of 61,638 code samples annotated for the presence or absence of vulnerabilities. the results demonstrate that TS-GGNN has the best vulnerability detection performance, with an accuracy of 99.4%, a precision of 98.81%, and an F1 score as high as 99.4% thereby validating the effectiveness of the TS-GGNN model in capturing features relevant to software vulnerabilities.

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AbitBridge: A cross-chain protocol based on main-sub-chain architecture 5

AbitBridge: A cross-chain protocol based on main-sub-chain a...

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5th IEEE International conference on Information systems and computer Aided Education, ICISCAE 2022

作者： Pang, Xiongtao Kong, Ning Chen, Zhili Software Engineering Institute East China Normal University Shanghai China Technical Centre Cccc Intelligence Transportation Tianjin China

ISBN: (数字)9781665481229

ISBN: (纸本)9781665481229

At present, with the iteration of existing technologies, the importance of blockchain is constantly being recognized by people, and cross-chain technology is also becoming more and more important with the development of blockchain. Existing cross-chain solutions often have various problems and challenges. Given the challenges faced by the existing cross-chain solutions, this paper proposes a cross-chain protocol technical solution based on the main-sub-chain architecture. this paper redesigns the relay chain model and changes the cross-chain mechanism of the cross-chain protocol. this scheme combined with the core idea of the notary scheme and the relay chain scheme, the relay chain model is designed through the realization idea of smart contract and relay chain, and 3 chain modules are proposed, which effectively reduces the development difficulty of the general relay chain model. We also propose a Reliable Verify Call module in the relay chain model to solve the difficult problem of invoking smart contracts in the general notary scheme and ensure the security of cross-chain data transmission. Based on the designed relay chain model, this paper proposes a cross-chain protocol based on the main-sub-chain architecture, which effectively combines the characteristics of the main-sub-chain architecture, improves the security of the relay chain scheme, and improves the main-sub-chain architecture's throughput performance. © 2022 IEEE.

关键词： Blockchain

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Data-Driven Shielding of Online Reinforcement Learning: A Stormwater Pond Case Study 11th

Data-Driven Shielding of Online Reinforcement Learning: A ...

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11th IFIP WG 2.2 International conference on Fundamentals of software engineering, FSEN 2025

作者： Kim, Esther Hahyeon Goorden, Martijn Angelo Larsen, Kim Guldstrand Nielsen, thomas Dyhre Department of Computer Science Aalborg University Aalborg East9220 Denmark Department of Mechanical Engineering Eindhoven University of Technology Eindhoven5612 AZ Netherlands

ISBN: (纸本)9783031870538

To synthesize a safe and optimal controller for switched hybrid systems, one can first synthesize a shield that ensures safety, and then apply reinforcement learning within the constraints of the shield to obtain the desired controller. However, developing such a shield for switched hybrid systems typically requires a full model of the environment, which is not always available. Instead, historical data of the environment might be available. In this paper, we introduce a method for the construction of safety shields based on different scenarios captured in historical data. We show how individual shields for different scenarios can be combined to obtain a single shield that is provably safe within the bounds of the observed scenarios. We demonstrate the method using an industrial case study of a stormwater detention pond, which includes ten years of historical data of different rain events/scenarios. Our experimental results show that the shielded optimal controller ensures safety across all individual historical rain scenarios compared to the unshielded optimal controller. Additionally, we empirically show that the shield may also generalize for scenarios not covered by the historical data. © IFIP International Federation for Information Processing 2025.

关键词： Storm sewers

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Transformer-based Swedish Semantic Role Labeling through Transfer Learning 30

Transformer-based Swedish Semantic Role Labeling through Tra...

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Joint 30th International conference on Computational Linguistics and 14th International conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Buhr, Lucy Yang Dannélls, Dana Johansson, Richard Department of Computer Science and Engineering Sweden Språkbanken Text Department of Swedish Multilingualism Language Technology Sweden Chalmers University of Technology University of Gothenburg Sweden University of Gothenburg Sweden

ISBN: (纸本)9782493814104

Semantic Role Labeling (SRL) is a task in natural language understanding where the goal is to extract semantic roles for a given sentence. English SRL has achieved state-of-the-art performance using Transformer techniques and supervised learning. However, this technique is not a viable choice for smaller languages like Swedish due to the limited amount of training data. In this paper, we present the first effort in building a Transformer-based SRL system for Swedish by exploring multilingual and cross-lingual transfer learning methods and leveraging the Swedish FrameNet resource. We demonstrate that multilingual transfer learning outperforms two different cross-lingual transfer models. We also found some differences between frames in FrameNet that can either hinder or enhance the model's performance. the resulting end-to-end model is freely available and will be made accessible through Språkbanken Text's research infrastructure. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Semantics

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the Advancements in 6G Technology based on its Applications, Research Challenges and Problems: A Review 23

The Advancements in 6G Technology based on its Applications,...

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27th International conference on Evaluation and Assessment in software engineering (EASE)

作者： Mustafa, Muhammad Riaz, Muhammad Tanveer Waseem, Saba Khan, Muhammad Abbas UET Lahore Dept Text Engn Faisalabad Campus Faisalabad Pakistan Univ Bologna Dept Elect Elect & Informat Engn DEI Bologna Italy UET Lahore Dept Mech Engn Faisalabad Pakistan Baluchistan Univ Informat Technol Engn & Manageme Dept Elect Engn Quetta 87300 Pakistan

ISBN: (纸本)9798400700446

Continuous placement of cellular networks keeps on revealing because of the inbuilt limitations of the network. To overcome these flaws, there is the next generation 6G concept which could properly assimilate important rate-hungry applications such as stretched reality, wireless brain-computer connections, independent automobiles, and others. 6G will also help in handling huge data transmission in rural areas. Many state-of-the-art trends and technologies are combined in it with the aim of providing higher data rates for ultra-reliable and low-dormancy communications. this article deals with the conceptualization of 6G cellular addressing system requirements, potential trends, technologies, services, applications, and research progress. this research includes a summary of open research issues and current research groups to benefit readers with the technology roadmap and for consideration of challenges in their research regarding 6G research. the fourth industrial revolution in the textile sector can greatly benefit from 5G and 6G technologies in automated processes of textiles such as in spinning, weaving, and especially in garments manufacturing to meet competitive advantages, excellent communication, and for better and more flexible production. 3D modeling, simulation of virtual clothes on avatars, automation of robotics, and data communication can be improved by the concept of 5G and 6G technologies.

关键词： 6G Technology Mobile Networks Communication systems Industrial 4.0 Automation

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A Comprehensive Study on software engineering and Emerging Technologies

A Comprehensive Study on Software Engineering and Emerging T...

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Smart Electronics and Communication (ICOSEC), International conference on

作者： Vivek Bhatnagar Tejinder Kaur Gulbir Singh Ritu Mishra Department of MMICTBM Maharishi Markaneshwar (Deemed to be University) Mullana Ambala Haryana India Department of Computer Science and Engineering Graphic Era Hill University Haldwani Campus Nainital Uttarakhand India

ISBN: (数字)9798331504403

ISBN: (纸本)9798331504410

Recently, software engineering field is undergoing a significant transformation driven by the rapid advancement of emerging technologies. AI introduces intelligent automation in code generation, testing, and debugging by significantly enhancing the development efficiency and reducing human error. Machine Learning (ML) algorithms further enhance the predictive maintenance and performance optimization. Block chain technology enables the creation of decentralized applications (DApps) and smart contracts, ensuring enhanced security, transparency, and automation. Internet of things (IoT) brings a paradigm shift with an exponential increase in connected devices, necessitating robust software solutions for real-time data processing and analytics, while also highlighting the security challenges.

关键词： Technological innovation software algorithms Smart contracts Decentralized applications software Real-time systems Security Internet of things software engineering Testing

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On the feasibility of evaluating the performance of strain gauge force sensors using open FEM software Code_Aster

On the feasibility of evaluating the performance of strain g...

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International Youth conference on Radio Electronics, Electrical and Power engineering (REEPE)

作者： Sergei I. Gavrilenkov Department of Computer Systems of Production (RK9) Bauman Moscow State Technical University

this paper considers the issues related to evaluating the performance of strain gauge load cells, namely, the stress-strain state and its nonlinearity using open FEM code Code_Aster. the stress-strain state of a membrane load cell was simulated using Code_Aster and experimental verification was done. the verification results show that Code_Aster exhibited good performance with regards to calculating the strains in the elastic element of the considered load cell and fair performance with regards to simulating the nonlinearity of strain.

关键词： Power engineering Simulation Strain measurement Reliability engineering software Finite element analysis software reliability

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5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches—A Review 9th

5G and IoT for Intelligent Healthcare: AI and Machine Lea...

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9th EAI International conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2023

作者： Butt, Hira Akhtar Ahad, Abdul Wasim, Muhammad Madeira, Filipe Chamran, M. Kazem Department of Computer Science University of Management and Technology Sialkot51040 Pakistan School of Software Northwestern Polytechnical University Shaanxi Xian710072 China İstanbul34467 Turkey /Pole of Digital Literacy and Social Inclusion Polytechnic Institute of Santarém Santarem2001-904 Portugal Department of Information and Technology City University Menara City U No. 8 Jalan 51A/223 Petaling Jaya Malaysia

ISBN: (纸本)9783031525230

New opportunities for AI-powered healthcare systems have emerged thanks to the integration of 5G wireless technology, the Internet of things (IoT), and AI. this article presents a comprehensive analysis of the current state and future prospects of artificial intelligence (AI) and machine learning (ML) applications in the healthcare sector, with a particular emphasis on their integration with 5G and IoT. Remote patient monitoring, telemedicine, and smart healthcare facilities are just some of the advantages of merging 5G with IoT in healthcare that we address. We also investigate how 5G and IoT-enabled intelligent healthcare systems might benefit from AI and machine learning. We take a look at how 5G and IoT may work together with AI and machine learning algorithms for real-time monitoring, data collection, and processing. Privacy and security worries, interoperability issues, and ethical considerations are only some of the obstacles and future approaches discussed in this study. this paper aims to analyze the existing literature on 5G and IoT applications in healthcare with the objective of identifying future research directions and providing insights into the current state of these technologies. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Internet of things

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Understanding large-scale software systems - structure and flows

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EMPIRICAL software engineering 2021年第3期26卷 1-39页

作者： Levy, Omer Feitelson, Dror G. Hebrew Univ Jerusalem Dept Comp Sci IL-91904 Jerusalem Israel

Program comprehension accounts for a large portion of software development costs and effort. the academic literature contains mainly research on program comprehension of short code snippets, but comprehension at the system level is no less important. We claim that comprehending a software system is a distinct activity that differs from code comprehension. We interviewed experienced developers, architects, and managers in the software industry and open-source community, to uncover the meaning of program comprehension at the system level;later we conducted a survey to verify the findings. the interviews demonstrate, among other things, that system comprehension is largely detached from code and programming language, and includes scope that is not captured in the code. It focuses on one hand on the structure of the system, and on the other hand on the flows in the system, but less on the code itself. System comprehension is a continuous, unending, iterative process, which utilizes white-box and black-box approaches at different layers of the system depending on needs, and combines both bottom-up and top-down comprehension strategies. In summary, comprehending a system is not just comprehending the code at a larger scale, and it is not possible to comprehend large systems at the same level as comprehending code.

关键词： Program comprehension System comprehension Code structure Program flows

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Building a Modern Microservices Ecosystem for Environmental Monitoring using IoT Sensors.

Building a Modern Microservices Ecosystem for Environmental ...

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International conference on Nascent Technologies in the engineering Field (ICNTE)

作者： Edwin Vincent Pratik Pradeep Dhumal Gregory Geevarghese Rahul Jadhav Department of Computer Engineering Fr. Conceicao Rodrigues Institute of Technology Vashi Navi Mumbai University of Mumbai India

Over the past decade, the software industry has steadily moved from large monolithic code repositories to small modular libraries. Micro services are the latest evolution in this transformation. Micro services are software systems specially designed to do one thing and only one thing but do it well. Internet of things systems are usually designed to operate in the field without manual supervision. As such these systems need to have sufficient software functionality to display fault tolerance, error state recovery and operational consistency. this project is designed to deliver these core Internet of things functionalities through an ecosystem of micro services. Specifically the project will focus on an in field gateway device – in this case a Raspberry Pi and implement micro services for environmental monitoring, command and control, device registration and on-boarding and over the air software upgrades. these systems will empower the gateway device to successfully integrate itself into a cloud connected content platform. For the purposes of this project all cloud components will be orchestrated on Amazon Web Services, the gateway device will be a Raspberry Pi Model B and the micro services built in Java.

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