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检索条件"任意字段=5th Israel Conference on Computer Systems and Software Engineering"

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Research on Smart Grid Dispatching Control System Based on Model Fusion 5

Research on Smart Grid Dispatching Control System Based on M...

引用

5th International conference on Power and Energy Applications, ICPEA 2022

作者： Hu, Xiaotong Xie, Boyuan Feng, Shuang Tang, Yi Southeast University School of Software Nanjing China University of Washington Department of Electrical and Computer Engineering SeattleWA98195 United States Southeast University School of Electrical Engineering Nanjing China

ISBN: (纸本)9781665487610

As the safety operation of power grid becomes more and more complicated, the modeling and application of dispatching control system, which is the core part of power grid operation, is one of the key means to improve the system intelligence. Aiming at the characteristics of complex and dispersed business knowledge of power grid dispatching and control system, a knowledge graph construction method combining bottom-up and top-down was proposed. Firstly, through the steps of knowledge extraction, relationship extraction and data cleaning, different data sources are analyzed to obtain the correlation between the basic platforms of the power grid dispatching control system and form the system structure. then, the physical modeling method based on Jacobi decomposition is combined with the specific business knowledge to construct the power grid dispatching system business logic knowledge graph. Finally, on the basis of actual cases, some components are numerically verified by the method of data injection, and the feasibility of the modeling method is verified by auxiliary analysis to be applied in the actual business. © 2022 IEEE.

关键词： Control systems

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software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques 17

Software Sentiment Analysis using Deep-learning Approach wit...

引用

17th conference on computer Science and Intelligence systems (FedCSIS)

作者： Mula, Venkata Krishna Chandra Kumar, Lov Murthy, Lalita Bhanu Krishna, Aneesh Andhra Univ Coll Engn Dept CSIS Visakhapatnam Andhra Pradesh India BITS Pilani Hyderabad Campus Dept Comp Sci & Informat Syst Secunderabad Telangana India Curtin Univ Bentley WA Australia

ISBN: (数字)9788396242396

ISBN: (纸本)9788396242396

Sentiment Analysis in the software engineering community aims to make the development and maintenance of software a better experience by helping provide code and library suggestions, defect-related comments for source code, etc. the manual finding of sentiment-based comments may be an inaccurate prediction and a time-consuming process. Automating the sentiment analysis process by leveraging Machine Learning models can benefit software professionals by giving them insights into other developers and feelings about software products, libraries, development, and maintenance tasks at a glance. this study aims to develop software sentiment prediction models based on comments by (1) identifying the best embedding techniques to represent the word of the comments, not just as a number but as a vector in n-dimensional space (2) finding the best sets of vectors using different features selection techniques (3) finding the best methods to handle the class imbalance nature of the data, and (4) finding the best architecture of deep-learning for the training of models. the developed models are validated using 5-fold cross-validation with four different performance parameters: accuracy, AUC, recall, and precision on three different datasets. the experimental finding shows that the models developed using the word embeddings with feature selection using Deep Learning classifiers on balanced data can significantly predict the underlying sentiments of textual comments.

关键词： Sentiment Analysis software engineering Tasks Word Embedding Feature Selection Data Imbalance SMOTE Deep Learning classifiers

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Empowering engineering Training: A Portable PyQT5-Based GUI for System Validation with Simulink DLLs 7

Empowering Engineering Training: A Portable PyQT5-Based GUI ...

引用

7th IEEE International conference on Computational systems and Information Technology for Sustainable Solutions, CSITSS 2023

作者： Kulkarni, Pranav M Venkatesh, Mohit Hemalatha, J.N. Sunanda, C. Rv College of Engineering Department of Electrical and Electronics Engineering Bengaluru India

ISBN: (纸本)9798350343144

Modelling and simulation is an integral part of systems engineering. Models represent the key characteristics or behaviour/functions of the selected physical or abstract systems. Simulation is the imitation of the operation of a real-world system. MATLAB/Simulink is often used for this purpose. Graphical User Interfaces (GUI) are created to understand the functionality of developed models using MATLAB's App Designer application. though these are robust, they pose several problems, particularly for large models, such as the requirement of an expensive MATLAB license by the end-user for running the application, reduction in execution speed, and usage of large amounts of device storage space. In this paper, a solution to this issue is proposed. A stand-alone GUI application can be developed using Python's PyQT5- a framework for developing GUIs. the usage of a foreign function library in Python called 'ctypes', to call the functions of the DLL into the developed Python-based GUI, is also realized in this paper. the GUI can run on a computer without MATLAB software installed. the results of the GUI agree with that of the Simulink model. Consequently, this standalone GUI application holds promise for streamlining the verification and validation processes of complex models, offering a cost-effective, efficient, and easily accessible alternative that empowers engineering training initiatives. © 2023 IEEE.

关键词： Simulink

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Gait Prediction and Assist Control of Lower Limb Exoskeleton Based on Inertia Measurement Unit 5

Gait Prediction and Assist Control of Lower Limb Exoskeleton...

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5th International conference on Intelligent Robotics and Control engineering, IRCE 2022

作者： Zhang, Yue Ma, Zhuo Zuo, Siyang Liu, Jianbin Tianjin University Key Laboratory of Mechanism Theory and Equipment Design Ministry of Education Tianjin300072 China

ISBN: (数字)9781665469951

ISBN: (纸本)9781665469951

the lower limb exoskeleton is a wearable robot with wide application, such as helping the elderly and the disabled, military, etc. this paper focuses on the design and control of the lower exoskeleton based on Inertia Measurement Unit (IMU), which can realize trajectory control, active and passive follow-up control and predictive control, thus realizing the assistance to the wearer and reducing the wearer's sense of load. the kinematic mechanism of human lower limbs is analyzed and the kinematic model is established by using standard D-H coordinate transformation method. the mechanical structure of exoskeleton is designed and its hardware system is built. LabVIEW software is selected as upper computer. the physical model of knee joint motor is established and its transfer function is derived. PID control strategy is selected and target trajectory for closed-loop control of external skeleton is set to achieve the specified trajectory. Gait movements of three participants were collected and analyzed using inertial sensors. Machine learning method is used to predict gait data through ARIMA model. © 2022 IEEE.

关键词： three term control systems

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Intelligent Data Management System for Vehicle Handling Stability Test Based on LABVIEW Database Access Technology 22

Intelligent Data Management System for Vehicle Handling Stab...

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5th International conference on computer Science and software engineering, CSSE 2022

作者： Du, Yucheng Dong, Jinsong Song, Shangbin Li, Huimin Research Institute of Highway Ministry of Transport Beijing100088 China

ISBN: (纸本)9781450397780

In order to effectively manage the data collected in the vehicle performance test, it is easy to evaluate the vehicle performance and improve the practical value of the data. this paper establishes a data management system for vehicle handling stability test. Based on LABVIEW programming software and Database Toolkit, using SQL server as the background database, and through the UDL data link to achieve user interface access to the database. this programming method is applied to perform the functions of new tables, data writing, data reading and evaluation indicators. Verification shows that the intelligent data management system can effectively improve the data storage and query efficiency, make test data management more efficient and convenient, and provide practical data resources for the analysis and evaluation of the vehicle handling stability. © 2022 ACM.

关键词： Database systems

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the Journey of Language Models in Understanding Natural Language 21st

The Journey of Language Models in Understanding Natural Lang...

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21st International conference on Web Information systems and Applications (WISA)

作者： Liu, Yuanrui Zhou, Jingping Sang, Guobiao Huang, Ruilong Zhao, Xinzhe Fang, Jintao Wang, Tiexin Li, Bohan Nanjing Univ Aeronaut & Astronaut Coll Artificial Intelligence & Comp Sci & Technol Nanjing 211106 Peoples R China Beijing Shenzhou Aerosp Software Technol Co Ltd Beijing 100094 Peoples R China Beijing Inst Telemetry Beijing 100083 Peoples R China

ISBN: (纸本)9789819777068;9789819777075

Since the Turing Test was proposed in the 1950s, humanity began exploring artificial intelligence, with an aim to bridge the interaction gap between machines and human language. this exploration enables machines to comprehend how humans acquire, produce, and understand language, as well as the relationship between linguistic expression and the world. the paper explores the basic principles of natural language representation, the formalization of natural language, and the modeling methods of language models. the paper analyzes, summarizes and compares the mainstream technologies and methods, including vector space-based, topic model-based, graph-based, and neural network-based approaches. And how to improve the development trend and direction of language model understanding ability is predicted and further discussed.

关键词： Artificial intelligence Natural language understanding Vector space model Topic model Neural network Deep learning

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Towards Speedy Permission-Based Debloating for Android Apps

Towards Speedy Permission-Based Debloating for Android Apps

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International conference on Mobile software engineering and systems (MOBILESoft)

作者： Ferdian thung Jiakun Liu Pattarakrit Rattanukul Shahar Maoz Eran Toch Debin Gao David Lo School of Computing and Information Systems Singapore Management University Singapore School of Computer Science Tel Aviv University Israel Department of Industrial Engineering Tel Aviv University Israel

ISBN: (数字)9798400705946

ISBN: (纸本)9798350363975

Android apps typically include many functionalities that not all users require. these result in software bloat that increases possible attack surface and app size. Common functionalities that users may not require are related to permissions that they intend to disallow in the first place. As these permissions are disallowed, their related code would never be executed and therefore can be safely removed. Existing work has proposed a solution to debloat Android apps according to the disallowed permissions. However, for large and complex applications, the debloating process could take hours, typically due the long time that may be needed to construct call graph for analysis. In this work, we propose MiniAppPERM, that speeds up the permission-based debloating by constructing a partial call graph instead of a complete call graph. Our preliminary experiments on a set of apps in Google Play show that MiniAppPerm can reduce the call graph construction time by up to $85.3 \%$. We also checked that the debloated apps can run without crashes. CCS CONCEPTS - Security and privacy $\rightarrow$ software security engineering.

关键词： Privacy Codes software computer crashes Internet Security software engineering

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Secure Cloud-Based Provisioning and Managing the Complete Life Cycle of IoT Metals 7

Secure Cloud-Based Provisioning and Managing the Complete Li...

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7th conference on Cloud and Internet of things, CIoT 2024

作者： Moghaddassian, Morteza Garcia-Luna-Aceves, J.J. University of Toronto Electrical and Computer Engineering Department ONM5S 3G4 Canada

ISBN: (纸本)9798350356717

TIPS (Toronto Infrastructure Provisioning System) is introduced as a new cloud-based IoT metal provisioning and life-cycle management system. TIPS splits the life cycle of IoT metals (devices) into three provisioning phases. In Phase 1, an IoT metal undergoes a tethered hardware provisioning process that moves the non configured metal hardware from its raw state to a configured state (i.e., having a full-fledged operating system). In Phase 2, TIPS provides the configured IoT metal with subsequent provisioning of the software packages and binaries that are specifically intended to configure the metal for a given IoT system task (e.g., data processing, sensing, and actuating). In Phase 3, TIPS continues to provide the now-functioning IoT metal with more software updates such as program upgrades and security patches to meet the metal's ongoing software needs. TIPS multi-phase provisioning model improves the security of IoT metal provisioning by authenticating and authorizing IoT metals before each provisioning phase, reducing the impacts of security threats like unauthorized OS installation and mass deployment of malicious software stacks on IoT metals. TIPS offers granular control over the IoT metal provisioning process that enhances the timeliness of IoT provisioning systems for reacting to changes in security requirements. TIPS multi-phase provisioning model only marginally increases the provisioning time and energy consumption of IoT metals during the provisioning process while offering many security benefits. © 2024 IEEE.

关键词： software packages

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Hierarchical Intelligent Component-Based Development for the Design of Cyber-Physical Control Architecture 5

Hierarchical Intelligent Component-Based Development for the...

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5th conference on Control and Fault-Tolerant systems (SysTol)

作者： Parant, Alexandre Gellot, Francois Philippot, Alexandre Carre-Menetrier, Veronique Univ Reims Ctr Rech Sci & Technol Informat & Commun CReSTIC Reims France

ISBN: (纸本)9781665431590

Modern manufacturing systems are subject to many disruptions due to increased competition. they are subject to many configuration changes during their life cycle and must cost-effectively make these changes. Intelligent component-based development enables the rapid design of control systems. this paper presents a new methodology for structuring the control architecture of cyber-physical systems with intelligent components: the Hierarchical Intelligent Component Architecture (HICA). Compared to traditional design methods, this methodology integrates the design of the physical and software architecture simultaneously. this paper also describes the model-driven engineering to realize this architecture using SysML diagrams to implement the code in IEC 61499 standard. Diagram Linkage Table (DTL) is the central element that allows the transition from SysML diagrams to IEC 61499.

关键词： Fault tolerance software architecture Design methodology Fault tolerant systems computer architecture Control systems Model driven engineering

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Cognitive Effort in Interaction with software systems for Self-regulation - An Eye-Tracking Study 20th

Cognitive Effort in Interaction with Software Systems for Se...

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20th International conference on engineering Psychology and Cognitive Ergonomics (EPCE) Held as Part of the 25th International conference on Human-computer Interaction (HCII)

作者： Drzyzga, Gilbert Harder, thorleif Janneck, Monique TH Lubeck Inst Interact Syst Lubeck Germany

ISBN: (纸本)9783031353918;9783031353925

the importance of digital degree programs has grown increasingly in recent years, due in part to their ability to provide a personalized learning experience for students. However, degree programs in this format have higher dropout rates than traditional degree programs. In the process of a user-centered design approach, a dashboard for the online degree programs of a university network is developed to provide information and recommendations about the learning process based on descriptive analysis and machine learning (ML) methods. For this purpose, ML models are developed, trained and evaluated. the goal of the dashboard is to promote self-regulation among students and reduce dropout rates. It will be set up as a plug-in through the learning management system (LMS) Moodle exclusively for students. In order to understand which aspects are important for users in relation to the cognitive processes involved in interacting with the dashboard, an eye-tracking study was conducted using the thinking aloud technique. the goal of the study was to investigate which cognitive demands are set for the users when interacting with the prototype and how the automatically generated information is perceived. When integrating the LD into the LMS, care should be taken to ensure that all content is realized in an understandable and easy-to-follow manner, due to the fact that otherwise the effort required to focus on the content elements of the LD could become greater - and with it the cognitive requirements.

关键词： Higher Education Learning-Management-System Learners Dashboard Self-regulation Motivation Structuring of Feedback Usability User Experience

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