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检索条件"任意字段=Israel Conference on Computer Systems and Software Engineering"

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Ethics of AI: A Systematic Literature Review of Principles and Challenges 22

Ethics of AI: A Systematic Literature Review of Principles a...

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26th ACM International conference on Evaluation and Assessment in software engineering, EASE 2022

作者： Khan, Arif Ali Badshah, Sher Liang, Peng Waseem, Muhammad Khan, Bilal Ahmad, Aakash Fahmideh, Mahdi Niazi, Mahmood Akbar, Muhammad Azeem M3S Empirical Software Engineering Research Unit University of Oulu Finland Faculty of Computer Science Dalhousie University Canada School of Computer Science Wuhan University China Department of Computer Science University of Loralai Pakistan College of Computer Science and Engineering University of Hail Saudi Arabia School of Business University of Southern Queensland Australia Department of Information and Computer Science King Fahd University of Petroleum and Minerals Finland Software Engineering Department Lappeenranta-Lahti University of Technology Finland

ISBN: (纸本)9781450396134

Ethics in AI becomes a global topic of interest for both policymakers and academic researchers. In the last few years, various research organizations, lawyers, think tankers, and regulatory bodies get involved in developing AI ethics guidelines and principles. However, there is still debate about the implications of these principles. We conducted a systematic literature review (SLR) study to investigate the agreement on the significance of AI principles and identify the challenging factors that could negatively impact the adoption of AI ethics principles. The results reveal that the global convergence set consists of 22 ethical principles and 15 challenges. Transparency, privacy, accountability and fairness are identified as the most common AI ethics principles. Similarly, lack of ethical knowledge and vague principles are reported as the significant challenges for considering ethics in AI. The findings of this study are the preliminary inputs for proposing a maturity model that assesses the ethical capabilities of AI systems and provides best practices for further improvements. © 2022 ACM.

关键词： Challenges AI Ethics Machine Ethics Systematic Literature Review Principles

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Ecological Sensitivity Evaluation and Ecological Restoration of Rocky Desertification Area Based on GIS - A Case Study of Lingui District, Guilin City, Guangxi Province 6

Ecological Sensitivity Evaluation and Ecological Restoration...

引用

6th International conference on computer Information Science and Application Technology, CISAT 2023

作者： Xie, Peixi School of Geographic Sciences and Planning Nanning Normal University Guangxi Nanning China

ISBN: (纸本)9781510668546

The rocky desertification, as the number one ecological problem facing the southwestern region of our country, is the result of the extreme degradation of land in the karst area. The Linggui District of Guangxi Guilin City is listed in the 13th Five-Year Plan for the rocky desertification project. In order to explore the sensitivity of rocky desertification ecological fragile area to the development of ecological environment, taking the rocky desertification phenomenon in Lingui area as an example, based on DEM image, 2020 Landsat8 remote sensing image and the third land survey data, ENVI software, Arcgis software and GIS technology are used to divide the areas with high ecological constraints, high ecological constraints, moderate ecological constraints and low ecological constraints. This will help to analyze the constraints and influences of ecological environmental vulnerability caused by rocky desertification on spatial development, and provide reference for the ecological environment control, development and ecological restoration of rocky desertification area in Guangxi. © 2023 SPIE.

关键词： Geographic information systems

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Macrosimulation Model of software Development Process 27

Macrosimulation Model of Software Development Process

引用

27th International conference on Knowledge Based and Intelligent Information and engineering Sytems, KES 2023

作者： Wysocki, Wlodzimierz West Pomeranian University of Technology al. Piastów 17 Szczecin70-310 Poland

Managing software development processes remains a severe challenge despite the support of tools. To remedy this situation, we propose better use of data collected in management support systems, a light approach to planning inspired by agile approaches, and the premise that continuous changes are inevitable. This approach lies at the heart of the described solution. The article presents a simplified software development process model that classifies project work in task types and roles of project team members, uses statistics to generate tasks, and then aggregates the results in iterative (month or sprint) and incremental approaches. The simplicity of macrosimulation allows for implementation in a spreadsheet. Despite its simplicity, the model allows for analysis of the completed project work, planning further courses, selecting employees for the project team, identifying bottlenecks, and performing quick what-if simulations. The macro model concept explains its structure, operation, and components details. Three experiments demonstrate its replicative and predictive capability, using data from real-world IT industry software projects. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： AGOMO MACROMO macrosimulation software process model software process planning

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Development Towards a Cloud-Based Failover Architecture to Support Zambia Revenue Authority's Domestic Tax systems 13th

Development Towards a Cloud-Based Failover Architecture to S...

引用

13th computer Science Online conference

作者： Chalwe, David Univ Zambia Dept Comp Sci Lusaka Lusaka Zambia Sch Nat Sci Dept Comp Sci Lusaka Zambia

ISBN: (纸本)9783031702846;9783031702853

The research abstract explores the necessity of transitioning Zambia's domestic tax systems to a cloud-based failover architecture. Identifying existing challenges such as manual disaster recovery, system failures requiring human intervention, and inadequate logging, causing extended downtimes, data loss, and reduced taxpayer confidence. The study aims to introduce a hybrid cloud web application architecture, focusing on eradicating application downtime and ensuring taxpayer data security. Cloud-based standby failover architectures promise high uptime and data integrity, with servers hosted online to ensure uninterrupted business operations. The research objectives include creating a warm backup server on Amazon Web Services (AWS) private cloud servers, implementing data encryption policies, and evaluating the impact on tax application uptime and recovery metrics. The significance lies in enhancing system resilience, scalability, cost-efficiency, security, and accessibility, providing benefits like continuity, cost savings, security enhancements, and technological advancements. The methodology involved expert consultations and historical analysis to identify system inefficiencies, determine efficient failover architecture, and gather relevant literature for a secure hybrid cloud approach. The prototype test environment was successfully set up and tests were conducted, requiring scaling to mirror the ZRA production environment. Tasks including data encryption and security checks on application databases were implemented. Results support the hypothesis that the advantages of a cloud-based failover system outweigh potential challenges like data security, sovereignty concerns, cost management, integration complexity, legal compliance, and cybersecurity threats.

关键词： Cloud-based Failover Data Security Taxation System

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A Novel Approach to MPPT Photovoltaic Power systems Using Sliding Mode Control and Iterative & Bisectional Technique

A Novel Approach to MPPT Photovoltaic Power Systems Using Sl...

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2023 IEEE Asia Meeting on Environment and Electrical engineering, EEE-AM 2023

作者： Nguyen, Nhat Tung Le, Tien Phong Nguyen, Nhat Hai Nguyen, Quang Thuan Thuyloi University Faculty of Electricals and Electronics Engineering Department of Electrical Engineering Hanoi Viet Nam Thai Nguyen University of Technology Electrical Faculty Thai Nguyen Viet Nam School of Information and Communications Technology Hanoi University of Science and Technology Computer Science Department Hanoi Viet Nam Thuyloi University Department of Electrical Engineering Hanoi Viet Nam

ISBN: (纸本)9798350381061

This paper presents an adaptive control method that is combined Sliding Mode Control (SMC) and the Iterative & Bisectional (IB) technique applied in maximum power point trackers (MPPT) of photovoltaic power systems. Mathematical models of photovoltaic power generation and a DC/DC boost converter corresponding to different operating conditions will be introduced to make clear objects and the research approach. A sliding surface is proposed with coefficients that are functions of the solar irradiance power. An equivalent control signal will be determined and the stability analysis will be also mentioned. Received simulation results carried out by MATLAB/SIMULINK software showed that the designed adaptive controller worked with high accuracy, especially in different variations of solar irradiance, maintaining stability and reducing the hysteresis band. The proposed method fixes the disadvantage of sliding mode control in the hysteresis band applied in photovoltaic power generations. The results also present the high accuracy of mathematical models and the feasibility of the proposed control method using real systems. © 2023 IEEE.

关键词： Sliding mode control

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Learning Environment Interoperability in software engineering Education

Learning Environment Interoperability in Software Engineerin...

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conference on software engineering Education & Training (CSEE&T)

作者： Dimitri Bigler Julian Manz Kevin Lee David Fischer Georg Hagel Faculty of Computer Science Kempten University of Applied Sciences Kempten Germany

ISBN: (数字)9798350378979

ISBN: (纸本)9798350378986

This paper explores the significance of interoperabil-ity advancements in learning management systems (LMS) and the demand for customizable, flexible learning environments. We present a system that integrates learning resources from an LMS into a highly customizable frontend, including the embedded TaskAssessment, a programming task evaluating software. By incorporating standards such as Learning Tools Interoperability (LTI) and Experience API (xAPI), seamless interoperability across various systems is ensured. The goal is to contribute to the advancement of personalized learning experiences by learning element recommendation, automatic assessment and targeted feedback, while improving system interoperability.

关键词： Linear systems Learning management systems Education software Interoperability Standards Programming profession

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Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks 38

Model LEGO: Creating Models Like Disassembling and Assemblin...

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38th conference on Neural Information Processing systems, NeurIPS 2024

作者： Hu, Jiacong Gao, Jing Ye, Jingwen Gao, Yang Wang, Xingen Feng, Zunlei Song, Mingli College of Computer Science and Technology Zhejiang University China Robotics Institute School of Computer Science Carnegie Mellon University United States Electrical and Computer Engineering National University of Singapore Singapore School of Software Technology Zhejiang University China State Key Laboratory of Blockchain and Data Security Zhejiang University China Institute of Blockchain and Data Security China Bangsheng Technology Co. Ltd. China

With the rapid development of deep learning, the increasing complexity and scale of parameters make training a new model increasingly resource-intensive. In this paper, we start from the classic convolutional neural network (CNN) and explore a paradigm that does not require training to obtain new models. Similar to the birth of CNN inspired by receptive fields in the biological visual system, we draw inspiration from the information subsystem pathways in the biological visual system and propose Model Disassembling and Assembling (MDA). During model disassembling, we introduce the concept of relative contribution and propose a component locating technique to extract task-aware components from trained CNN classifiers. For model assembling, we present the alignment padding strategy and parameter scaling strategy to construct a new model tailored for a specific task, utilizing the disassembled task-aware components. The entire process is akin to playing with LEGO bricks, enabling arbitrary assembly of new models, and providing a novel perspective for model creation and reuse. Extensive experiments showcase that task-aware components disassembled from CNN classifiers or new models assembled using these components closely match or even surpass the performance of the baseline, demonstrating its promising results for model reuse. Furthermore, MDA exhibits diverse potential applications, with comprehensive experiments exploring model decision route analysis, model compression, knowledge distillation, and more. For more information, please visit https://***/. © 2024 Neural information processing systems foundation. All rights reserved.

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Multi-view FMEA Re-validation: Efficient Risk and engineering Knowledge Integration in Agile Production systems engineering 1

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Model-Driven engineering and software Development - 9th International conference, MODELSWARD 2021, and 10th International conference, MODELSWARD 2022, Revised Selected Papers

作者： Rinker, Felix Kropatschek, Sebastian Steuer, Thorsten Kiesling, Elmar Meixner, Kristof Waltersdorfer, Laura Sommer, Patrik Lüder, Arndt Winkler, Dietmar Biffl, Stefan CDL for Security and Quality Improvement in the Production System Lifecycle TU Wien Vienna Austria Institute of Information Systems Engineering Technische Universität Wien Vienna Austria Center for Digital Production Vienna Austria Institute of Data Process and Knowledge Engineering WU Wien Vienna Austria Neuman Aluminium CAG Holding GmbH Lilienfeld Austria IAF at FMB Otto-v.Gueriche University Magdeburg Germany

ISBN: (数字)9783031388217

ISBN: (纸本)9783031388200

In agile Production systems engineering (PSE), multi-disciplinary teams work concurrently on various PSE artifacts in an iterative process that can be supported by common concept and Product-Process-Resource (PPR) modeling. However, keeping track of the interactions and effects of changes across engineering disciplines and their implications for risk assessment is exceedingly difficult in such settings. To tackle this challenge and systematically co-evolve Failure Mode and Effects Analysis (FMEA) and PPR models during PSE, it is necessary to propagate and validate changes across engineering artifacts. To this end, we design and evaluate a FMEA-linked-to-PPR assets (FMEA+PPR) meta model to represent relationships between FMEA elements and PSE assets and trace their change states and dependencies in the design and validation lifecycle. Furthermore, we design and evaluate the FMEA+PPR method to efficiently re-validate FMEA models upon changes in multi-view PSE models. We evaluate the model and method in a feasibility study on the quality of a joining process automated by a robot cell in automotive PSE. The study results indicate that the FMEA+PPR method is feasible and addresses requirements for FMEA re-validation better than alternative traditional approaches. Thereby, the FMEA+PPR approach facilitates a paradigm shift from traditional, isolated PSE and FMEA activities towards an integrated agile PSE method. © 2023, Springer Nature Switzerland AG.

关键词： Iterative methods

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Survey of Commercial Wi-Fi Devices' Energy Detection Mechanism

Survey of Commercial Wi-Fi Devices' Energy Detection Mechani...

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2024 IEEE International conference on Consumer Electronics, ICCE 2024

作者： Bailey, Jeffrey Liu, Stone Lambadaris, Ioannis Max, Sebastian Sugirtharaj, David Carleton University Department of Systems and Computer Engineering Ottawa Canada Radio Network Research Ericsson Germany Ericsson Sweden

ISBN: (纸本)9798350324136

This paper presents an experimental survey of the capabilities of commercial IEEE 802.11 (Wi-Fi) devices to detect the state of the wireless medium. Wi-Fi devices use a Clear Channel Assessment (CCA) mechanism to determine if the wireless medium is occupied. By subjecting Wi-Fi devices to Gaussian interference signals transmitted through a Universal software Radio Peripheral (USRP), we assess their CCA behavior. Moreover, we perform a deeper investigation of the Ericsson AP6321 Wi-Fi Access Point prompted by privileged access to its internal operations. Our findings highlight variations between different Wi-Fi devices' CCA mechanisms and reveal floating CCA thresholds. Since CCA forms the fundamental basis for Wi-Fi operation, this study provides insights into coexistence of Wi-Fi with itself and dissimilar technologies. Because future Narrow Band Frequency Hopping (NB FH) systems are a potential technology that commercial Wi-Fi devices need to coexist with, we provide an extended survey of the capability of Wi-Fi devices to detect NB FH signals in unlicensed bands. This survey demonstrates that rapidly changing, on-off signalling does not have a disproportionate impact on Wi-Fi performance. © 2024 IEEE.

关键词： Adaptive Noise Floor Clear Channel Assessment (CCA) Coexistence Dynamic On-Off (DOF) Interference Energy Detection Threshold (EDT) Narrow Band Frequency Hopping (NB FH)

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VFAST-BEV: An Efficient BEV Perception Method Based on Virtual Camera 2

VFAST-BEV: An Efficient BEV Perception Method Based on Virtu...

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2nd Asia conference on computer Vision, Image Processing and Pattern Recognition (CVIPPR)

作者： Li, Yang-Mei Cai, Bo Yang, Ling-Ling Wuhan Open Univ Wuhan Vocat Coll Software & Engn Wuhan Peoples R China Hubei Engn Res Ctr Intelligent Detect & Identific Wuhan Hubei Peoples R China Wuhan Hanqtech Technol Co Ltd Wuhan Hubei Peoples R China

ISBN: (纸本)9798400716607

3D visual perception, including 3D object detection and map segmentation from multi-camera imagery, is pivotal for autonomous driving systems. In this study, we introduce a novel framework termed VFAST-BEV, which employs virtual cameras to transform the perspective views of real cameras into standardized camera views. Leveraging a fully convolution backbone network coupled with a Feature Pyramid Network (FPN), semantic segmentation is facilitated at higher layers, while at lower levels, an Inverse Perspective Mapping (IPM) and Multi-Layer Perception (MLP)-based spatial transformation module aggregates multiple front-view images into a unified Bird's Eye View (BEV) representation. This process implements BEV feature extraction based on Multi-layer Fusion (MLF), thereby achieving accurate 3D object detection, addressing the recognition errors that stem from traditional BEV learning methods relying on ideal assumptions about extrinsic parameters and an absolutely flat ground plane. Our approach not only supports a multitude of autonomous driving perception tasks but also reduces computational complexity by consolidating processing from six individual networks into a single one. Significantly, compared to transformer-based networks, the use of IPM and MLP has led to a tenfold decrease in computational demands. Experimental results demonstrate that the proposed BEV Virtual Camera methodology notably enhances the accuracy of target identification and object distance estimation under non-flat road conditions.

关键词： 3D detection virtual camera IPM BEV

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