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检索条件"任意字段=Knowledge-Based Software Engineering Conference"

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Preference Learning in Food Recommendation: the "Myfood" Case Study

Preference Learning in Food Recommendation: the "Myfood" Cas...

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2023 International conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Sandri, Simone Molinari, Andrea Okkam S.r.l Trento Italy University of Trento Dept. of Industrial Engineering Trento Italy

ISBN: (纸本)9798350322972

This paper introduces MyFood, a software platform that utilizes semantic technologies and artificial intelligence to represent knowledge in the food domain and to provide smart services to its users. The platform leverages big data for large volume analysis, providing innovative, high-value services for all players in the food chain. MyFood's design began with creating a comprehensive ontology covering food components, enabling restaurateurs and customers to consult a complete, detailed menu in compliance with the law. The platform also supports people searching for specific food services based on ingredients, verifying compatibility with ethical, religious, or food-related allergies or intolerances. MyFood's knowledge graph allows for "intelligent"operations that increase its value for various users. This paper presents a sub-component of the MyFood platform that utilizes preference neural nets (PNN) to provide recommendations to end users based on their profile of needs related to the ingredients of the dishes. The PNN suggests the most suitable restaurant(s) for the user based on their needs. This paper provides an overview of the PNN-based recommendation system and its implementation within the MyFood platform. Overall, the MyFood platform's preference learning component has the potential to enhance the user experience by providing tailored recommendations that match their preferences and dietary restrictions. We present insights into the early implementation and design of MyFood, highlighting its potential to transform the food industry through its cutting-edge technology and innovative services. © 2023 IEEE.

关键词： Recommender systems

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2nd International conference on Data Science and Network engineering, ICDSNE 2024

2nd International Conference on Data Science and Network Eng...

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2nd International conference on Data Science and Network engineering, ICDSNE 2024

ISBN: (纸本)9789819783359

The proceedings contain 29 papers. The special focus in this conference is on Data Science and Network engineering. The topics include: Explainable AI Insights into a Time Series Weather Prediction Model Using Stacked LSTM;patient-Specific and Patient-Independent Seizure Prediction Using Ensemble Learning Technique;an Intuitive and Modular Framework for Enhanced Human-Machine Synergy;Wavelet-Transformed K-NN Pipeline for EEG-based Eye Blink Classification with Time Wrapping;enabling Cursor Control Through Eye Movement Using Hidden Markov Model;Comparative Study: Word2Vec Versus TF-IDF in software Defect Predictions;an Improved Deep Learning Framework based on Multi-Scale Convolutional Architecture for Road Crack Detection;knowledge Graph Relation Learning Using GAN-BERT;sightAssist: A Multi-facility Machine Learning Approach for Empowering the Visually Impaired;Predicting COVID-19 Cases in India Using ARIMA, Prophet, LSTM and Data Analysis Using Power BI;Classification of Muti-Labeled Retinal Diseases in Retinal Fundus Images Using CNN Model ResNet18;LSTM-based Portfolio Optimization with Gerber Covariance Estimator for Increased Robustness;handwritten Character Recognition from Small Grayscale Images Using Pre-trained Models;Forecasting Heart Disease Using Deep BI-DI Neural Networks;emo-Tune: Harnessing Emotion-based Music for Patient Wellness;Making Data Secure in Detecting ADHD with Supervised Learning;an Analysis of Automatic Question Generation Research Progress and Challenges;a Federated Learning Approach Towards a Privacy-Preserving Technique for Brain Tumor Classification;low Cost Emergency Communication System for Disaster Affected Areas;a Slot-Integrated based Partial Ground and Tapered Patch Antenna for Satellite Communications;a Review on Wireless Power Transfer Systems;application of Big Data to Traffic Generated in Mechanisms Containment on Optical Burst Switching Distributed Networks;a Real-Time Arm-Worn Sensor-based Human Fall Alert Notification Mode

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ADmed: An Adaptive Technical Process for the Agile Development of Medical Devices 14

ADmed: An Adaptive Technical Process for the Agile Developme...

引用

14th International conference on knowledge Management and Information Systems, KMIS 2022 as part of 14th International Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2022

作者： Martens, Maren Schidek, Anna Schmidtner, Markus Timinger, Holger Institute for Data and Process Science Am Lurzenhof 1 Landshut Germany

ISBN: (纸本)9789897586149

Agile project management is an established approach in software development and over time has also been adapted to different fields of work. While there are proven advantages for an agile development process, not all branches have incorporated agile methods in their project and development practices yet. One of these branches is the medical device industry. They often fall back on traditional, plan-based process models due to regulatory and normative requirements because of perceived conformity. ADmed is a process model that combines agile and plan-based processes while still adhering to the necessary regulatory requirements. In order to make it more accessible and approachable for a wide range of users it also incorporates adaptive elements, which are adjusted based on the user context. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： software design

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The Developer's Journey: A Storytelling Framework for Cooperative Learning in software engineering 14

The Developer's Journey: A Storytelling Framework for Cooper...

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14th International conference on Computer Supported Education (CSEDU)

作者： Wolfschwenger, Patrick Emara, Mona Lumetsberger, Wolfgang Hatter, Thomas Sabitzer, Barbara Lavicza, Zsolt Johannes Kepler Univ Linz Linz Austria Damanhour Univ Damanhour Egypt Smartpoint IT Consulting Bechtle Linz Austria

ISBN: (纸本)9789897585623

An educational storytelling concept is presented, inspired by the archetypal story pattern common in ancient myths as well as modern day adventures. software development is a complex profession demanding constant learning and improvement in a field changing almost daily. Apart from learning new technologies and writing computer code, much of a developer's time is spent on problem-solving and debugging - that is, detecting and correcting errors and bugs that cause a system to break or behave unexpectedly. The average developer regularly goes through a series of transformative steps to overcome intricate problems that often appear obscure and enigmatic at the beginning. The return with special knowledge to share with others is the final reward earned on the Developer's Journey. Under the premise that a good story can change our perception and offset the biases of our interpretation of reality, a didactic method has been designed for sharing and interpreting experiences in a cooperative learning environment. In the context of cloud computing education, its effects on problem-solving, motivation and perception are evaluated. We analyze transformative learning opportunities in connection with narratives and discuss its potentials and limitations in community-based learning.

关键词： Continuing Professional Training and Development Lifelong Learning Cloud Computing Education Narrative-based Learning Project-based Learning Instructional Design

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Towards Readout-Aware Layout Synthesis for Spin Qubit Systems with Double Quantum Dot Readouts 5

Towards Readout-Aware Layout Synthesis for Spin Qubit System...

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2024 International conference on Quantum Computing and engineering

作者： Thombre, Ritu Edwards, Marcus Salfi, Joseph Di Matteo, Olivia Univ British Columbia Dept Elect & Comp Engn Vancouver BC Canada

ISBN: (纸本)9798331541378

A quantum compiler is required to run a quantum circuit on a quantum computer, similar to how classical compilers are required to run programs on classical computers. Spin qubits are a promising candidate for scalable quantum computers. General-purpose quantum compilers can be used for spin qubit devices, however they do not consider additional constraints imposed due to Double-Quantum-Dot (DQD) readout. For DQD readout, when a qubit in an algorithm is measured, the compiler must remap and re-route it to be adjacent to a special-purpose readout qubit, which is preserved in a known state. Moreover, this should be done in a way that minimizes overhead and maximizes the fidelity, in particular, due to noise in the readout process. This work formulates readout constraints to extend SMT (Satisfiability Modulo Theory)-based layout synthesis techniques proposed in ill to spin qubit architectures. We define a metric, readout depth, to quantify the overheads incurred. Preliminary results, obtained from benchmarking GHZ and variational quantum eigensolver circuits on architectures with grid topologies, highlight the algorithmic tradeoffs that arise. We expect ongoing work on scaling up the methods to a larger set of algorithms will help inform the decisions of spin qubit hardware designers.

关键词： Hardware-software co-design Quantum Compilers Quantum Computing Spin Qubits

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How to Cultivate Problem-Solving Ability using the Extenics-based Teaching Model 11

How to Cultivate Problem-Solving Ability using the Extenics-...

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11th International conference on Information Technology and Quantitative Management, ITQM 2024

作者： Wan, Hongjia Li, Xingsen Wang, Longhao Erxiang, Dou School of electromechanical engineering Guangdong University of Technology Guangzhou510006 China Research Institute of Extenics and Innovation Methods Guangdong University of Technology GuangZhou510006 China School of Software and Microelectronics Peking University BeiJing102627 China

Cultivating the ability to solve complex and contradictory problems is one of the important goals of engineering education. This paper introduces extenics into the training of cultivating college students' problem-solving skills, streamlines the process of solving contradictory problems, and develops a systematic and patterned extenics model for cultivating college students' problem-solving abilities. This study verified the validity of the methodology through comparative case studies and experiments. The training model of contradictory problems extraction and resolution has implications for pedagogical innovations in other specialized courses. © 2024 The Authors.

关键词： engineering education

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Coordination of Global Data Asset Management in Digital Power Grid Corporation

Coordination of Global Data Asset Management in Digital Powe...

引用

2024 International conference on Electrical Drives, Power Electronics and engineering, EDPEE 2024

作者： Hu, Zhiliang Wan, Xianghu Shu, Wen Anhui Jiyuan Software Co. Ltd. Anhui Hefei230088 China

ISBN: (纸本)9798350395631

Digital power grid is based on traditional power grid, through advanced communication, calculation, control and other technical means. Data asset management is an important concept of modern new enterprise management, which has the same function as business management and knowledge management, and can guarantee the rapid transformation and growth of enterprises. In digital power grid companies, global data asset management involves many aspects such as power grid operation, equipment management and customer service, and runs through the whole life cycle of power grid planning, construction, operation and maintenance. This article puts forward the data fusion method of digital power grid companies, and analyzes the function construction of data asset management platform of power grid enterprises and gives relevant suggestions. The results show that the algorithm has stronger stability and robustness when dealing with power grid data, and can maintain high performance in various complex and changeable environments, which can ensure the improvement of data management level of power grid enterprises. © 2024 IEEE.

关键词： Life cycle

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Orthogonal Defect Classification-based Ontology Construction and Application of software-hardware Integrated Error Pattern of software-intensive System 24

Orthogonal Defect Classification-based Ontology Construction...

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24th International conference on Advanced Communication Technology (ICACT) - Artificial Intelligence Technologies toward Cybersecurity

作者： Hu, Xuan Liu, Jie CEPREI Informat Secur Res Ctr 110 Dongguanzhuang Rd Guangzhou Peoples R China Minist Ind & Informat Technol Key Lab 110 Dongguanzhuang Rd Guangzhou Peoples R China

ISBN: (纸本)9791188428090

Orthogonal defect classification (ODC) is a multi-dimensional measurement system with both qualitative and quantitative characteristics. And it is currently widely used in the software industry. However, its high level of abstraction leads to limited semantic information. Therefore, it seems to have a limited role in the process of software engineering of software-intensive systems (SISs). To solve this problem, this paper first analyzes software error lifetime from the perspective of knowledge-based software engineering and proposes an error generation model. Then, the paper proposes the concepts of software error pattern (SEP) and software requirements error pattern (SREP) based on the ODC. Then, according to an error generation mechanism, four types of software-hardware integrated error pattern (SHIEP) in the requirement stage, which is a sub-category of SREP, and corresponding ontology representation are given, focusing on "scenario", "error manifestation" and "solution". Finally, this paper takes a certain type of airborne radar software system as an example, uses protege to edit the SHIEPs and instances, and further introduces the application of software FMEA based on the above work. The results show that the prior information based on the SHIEPs is helpful to discover potential failures and failure modes that may adversely affect the function or performance of SISs. Therefore, the proposed SHIEP is of great significance for improving the quality of software development and verification.

关键词： orthogonal defect classification ontology pattern software error

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Supply Chain Security: Pre-training Model for Python Source Code Vulnerability Detection 3

Supply Chain Security: Pre-training Model for Python Source ...

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3rd International Joint conference on Information and Communication engineering (JCICE)

作者： Le, Yiwang Li, Hui Wang, Bin Luo, Zhixiong Yang, Ao Ma, Ziheng Peking Univ Shenzhen Grad Sch Shenzhen Peoples R China Qinghai Co LTD China Mobile Commun Grp Xining Qinghai Peoples R China

ISBN: (纸本)9798350388732;9798350388725

In this paper, we propose an innovative deep learning-based model designed to detect potential security vulnerabilities in source code. The model is pretrained on the open-source PyPI code repository and a specially curated malicious code dataset, allowing it to deeply learn the syntactic structure and semantic information of the code, thus building a deep knowledge representation. We further refine this knowledge representation through fine-tuning to form a classifier focused on malicious code detection. Evaluation results on an open-source malicious code dataset indicate that our model's performance not only surpasses traditional machine learning methods, recurrent neural networks (RNNs), and convolutional neural networks (CNNs), but also outperforms popular open-source security tools and significantly exceeds advanced detection models designed for other programming languages. Despite our model's smaller scale, limited by the amount of data and model parameters, it demonstrates exceptional performance on the test dataset, far exceeding traditional machine learning techniques. This achievement highlights the strong potential of our model in the analysis of source code security and provides new directions and possibilities for future research in this field.

关键词： vulnerability detection software vulnerabilites pre-training deep learning

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A Framework based on ALMABuild Toolbox for the Advanced Control of HVAC systems

A Framework Based on ALMABuild Toolbox for the Advanced Cont...

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2024 IEEE Sustainable Power and Energy conference, iSPEC 2024

作者： Shamachurn, Heman Hassen, S Z Sayed University of Mauritius Faculty of Engineering Department of Electrical and Electronic Engineering Reduit Mauritius

ISBN: (纸本)9798350395075

Model Predictive Control (MPC) has the potential to control HVAC systems more efficiently than traditional controllers, as proven by numerous studies. Various simulation tools/platforms are available to test advanced controllers prior to their deployment in the field, but not all platforms are user-friendly and fully controllable. Hence, we propose the ALMABuild MATLAB/Simulink toolbox to simulate emulator models for buildings. To our knowledge, the toolbox has never been used for this purpose earlier. One interesting feature is that accurate building envelopes and the HV AC systems can be easily implemented through user-friendly GUIs. Moreover, given that the toolbox uses the same platform as the popular MATLAB control system toolbox, there is no need to have a software interface when investigating on controls. A single zone building was simulated and the indoor air temperature was controlled using a PI controller applied to an air handling unit supplying air to a variable air volume box equipped with a reheat coil. The presented results pave the way forward for the simulation of single/multi-zones buildings, suitable HV AC systems and advanced controllers, all in the MATLAB/Simulink environment. © 2024 IEEE.

关键词： MATLAB

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