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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 条记录，以下是21-30 订阅

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A Multitask Learning Model for Temperature and Relative Humidity Prediction in Multi-zone Buildings 8th

A Multitask Learning Model for Temperature and Relative Humi...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Li, Wenlong Wang, Xinli Wang, Lei School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9789819602247

the energy consumption of Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings accounts for almost half of the total energy usage. therefore, research on HVAC energy management is essential. Prediction of indoor temperature and relative humidity is crucial in the field of efficient building energy management. However, this task is challenging due to the complex spatial-temporal coupling features and multivariable dependencies. To address these issues, we propose a multitask learning model called the Spatial-temporal Convolutional Multitask Deep Learning (STCMT) model for predicting the temperature and relative humidity in multi-zone buildings. this model utilizes Spatial-temporal Convolutional Block (ST-Conv block) to extract the spatial-temporal features of the variables in HVAC systems. Additionally, to address intervariable dependencies, we utilize the Transformer Model to capture the interrelationships among different variables. the proposed model has been implemented on a smart building dataset, and the results indicate that the proposed method outperforms other methods in indoor temperature and relative humidity prediction, including Support Vector Regression (SVR), Long Short-Term Memory (LSTM), MultiDeT, and Graph WaveNet. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： HVAC

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Smart Grid Tolerance Invasion Control Under False Data Injection Attacks 8th

Smart Grid Tolerance Invasion Control Under False Data Injec...

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8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Li, Ming Wei, Lisheng Wang, Ruiren Anhui Key Laboratory of Electric Drive and Control Anhui Polytechnic University Wuhu241000 China School of Electrical Engineering Anhui Polytechnic University Wuhu241000 China

ISBN: (纸本)9789819602247

Aiming at the problem of how to maintain stable and secure operation of the smart grid after a false injection attack, the tolerant intrusion control of the system after a false data injection attack is investigated. First, since there is no publicly available FDIA dataset, two datasets are generated: one contains random single-node attacks and the other contains random multi-node attacks. Second, combining AE and Generative Adversarial Network (GAN), and introducing Wasserstein distance and gradient penalty term to avoid the problems of gradient vanishing and pattern collapse that GAN is prone to in adversarial training;at the same time, adversarial training is used to achieve Nash equilibrium, learn spatial relationship between data, and complete the data reconstruction;the method does not need labeled data from measurement instruments, and only requires attack-free historical state data to complete the training, thus it is unsupervised learning. Finally, the simulation results show that the adopted recovery scheme can accurately restore the contaminated state quantities to their pre-attack values, and has high recovery accuracy for FDIA contamination. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Optimal User-Side Energy Arbitrage Strategy in Electricity Market with Accurate Battery Model Using Benders Decomposition 8th

Optimal User-Side Energy Arbitrage Strategy in Electricity ...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Zhu, Mengchen Chen, Tao School of Electrical Engineering Southeast University Nanjing210096 China

ISBN: (纸本)9789819602315

In this paper, a user-side battery energy storage system is modeled, using a linear programming approach to solve the problem of minimum cost and optimal operation strategy. In the accurate modeling of the battery energy storage system, segmented curves are used to subtly describe the charging performance of the battery at different charging levels. Additionally, the Rainflow algorithm is used to calculate the lifetime loss incurred during the charging and discharging of the chemical battery in the energy storage system. By using Benders Decomposition method, the lifetime loss cost of the energy storage system would be further incorporated into the overall energy arbitrage optimization process, in which the cyclic features of the energy arbitrage in electricity market with battery lifetime loss calculation is constructed. Finally, the performance of such an optimal user-side energy arbitrage strategy is analyzed through various simulations, meanwhile showcasing the advantages through comparison study. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Commerce

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Wind Power Forecasting Model Based on Feature Processing and Deep Hybrid Kernel Extreme Learning Machine 8th

Wind Power Forecasting Model Based on Feature Processing and...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Wei, Xiongfei Wang, Jing Ruan, Yi Fang, Yuanjie College of Electrical Engineering Anhui Polytechnic University Anhui Wuhu241000 China School of Electronic Engineering Chaohu University Anhui Chaohu238024 China

ISBN: (纸本)9789819602315

To improve the forecasting accuracy of wind power, a wind power forecasting (WPF) model based on feature cleaning combined with deep hybrid kernel extreme learning machine (DHKELM) is proposed. the Pearson correlation coefficient (PCC) method is used to optimize the features, eliminate irrelevant features, and the isolated forest (IF) algorithm is used to clean the anomalous data in the retained features, which enhances the correlation between the selected features and wind power, and then combines the DHKELM to predict the wind power. Finally, the proposed model is applied to predict the wind power of a 1MW wind turbine, and the results of the progressive forecasting of the proposed method and the forecasting results of different models are compared. the results show that the PCC-IF-DHKELM forecasting model has a root-mean-square error of 0.01928 MW, an average absolute error of 0.015254 MW, and a correlation coefficient of 0.99435, which is significantly better than the other forecasting models, proving the effectiveness of the PCC-IF-DHKELM forecasting method. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wind forecasting

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A Systematic Literature Review on Solutions of Mutation Testing Problems 8

A Systematic Literature Review on Solutions of Mutation Test...

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8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Yik, Loh Zheung Nasir Bin Wan Kadir, Wan Mohd Ibrahim, Noraini Binti University Teknologi Malaysia Faculty of Computing Johor Bahru Johor Malaysia

ISBN: (纸本)9798350310931

Mutation testing (MT) is regarded as a gold standard way to assess test suite (TS) fault finding capability and to verify the effectiveness of software testing methodologies. However, the adoption of MT in the software industry remains uncommon due to various problems. In this systematic literature review, we investigate the recent solutions of MT problems. Our review involves a comprehensive analysis of relevant research papers published from 2017 to 2022, indexed in reputable databases such as Scopus, WoS, ieee, and ACM. After we synthesized our findings, we identified the potential research direction which can increase the adoption of MT in the software industry. © 2023 ieee.

关键词： software testing

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Real-Time Data Visualization and Analysis Using *** Core's Tag Helpers in Business Intelligence Applications 8

Real-Time Data Visualization and Analysis Using *** Core's T...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Bataieneh, Safa'A Hanna, Samer College of Information Technology Philadelphia University Amman Jordan Philadelphia University Software Engineering Department Jarash Jordan

ISBN: (纸本)9798350310931

In today's fast-paced corporate environment, real-time data was essential for making educated decisions, but it was challenging to create dynamic dashboards with drill-down capabilities. this study investigated how Tag Helpers in *** Core improved maintainability, simplified HTML creation, and enhanced the user experience for real-time data visualization and analysis in business intelligence applications. the researchers demonstrated the power of Tag Helpers in visualizing key metrics and providing real-time insights to businesses. the findings suggested that Tag Helpers offered a powerful tool for creating dynamic web content and facilitating data analysis in real time. © 2023 ieee.

关键词： Data visualization

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High Performance Business Intelligence Dashboard 8

High Performance Business Intelligence Dashboard

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Chandrasekaran, Harvindran Xuan, Tan Yu Mang, Tang Kok Intel Technology Sdn. Bhd Bayan Lepas Malaysia

ISBN: (纸本)9798350310931

Intel software development ecosystem is complex, consisting of components produced in-house, third-party vendors and open-source community. Different tools and processes are being used to manage individual deliverables throughout the whole software product life cycle. Managing the release of such complex software solution is very competitive, especially when dealing with the dependencies of many moving pieces across different department which contribute to an array of products releases with different requirements and schedule. this paper describes Owl's View, high performance and scalable personalized dashboard's architecture which enables very fast data lookup from multiple sources;it also explains how productivity gains can be achieved through eliminating unnecessary waste and summarizing day to day top priority tasks in single dashboard;as well as revealing the impacts that Owl's View brings to the organization, especially in productivity gains and Intel software Quality compliance. © 2023 ieee.

关键词： Open source software

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A Meta-Requirement Approach to Validate User Requirement Specification: threshold Definition 8

A Meta-Requirement Approach to Validate User Requirement Spe...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Umar Ong, Muhamad Idaham Ameeden, Mohamed Ariff Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pahang Pekan26600 Malaysia

ISBN: (纸本)9798350310931

the software requirement specification document is critical for ensuring that software development projects are completed on time, within budget, and meet the needs of all stakeholders. User requirement completeness refers to the extent to which user requirements accurately and fully capture the needs and expectations of stakeholders for a given system or application. the completeness of user requirements is critical for the successful design and implementation of information systems, as incomplete requirements can lead to a range of issues, including system failure, delays, and cost overruns. the author has developed a meta-requirement validation approach to validate the completeness of a set of requirements. Based on a numerical reading, the user of the approach will be able to determine the completeness of the requirement. this publication's main objective is to identify the threshold value through a method of literature search. the identified threshold value will be used to determine the minimum reading for the result to be deemed complete. the result of a 70% value has been identified to be suitable for the use of the validation approach. © 2023 ieee.

关键词： Requirements engineering

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User Stories in Requirements Elicitation: A Systematic Literature Review 8

User Stories in Requirements Elicitation: A Systematic Liter...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Kustiawan, Yanche Ari Lim, Tek Yong Multimedia University Faculty of Computing and Informatics Cyberjaya Malaysia

ISBN: (纸本)9798350310931

A user story is commonly applied in requirement elicitation, particularly in agile software development. User story is typically composed in semi-formal natural language, and often follow a predefined template. the user story is used to elicit requirements from the users' perspective, emphasizing who requires the system, what they expect from it, and why it is important. this study aims to acquire a comprehensive understanding of user stories in requirement elicitation. To achieve this aim, this systematic review merged an electronic search of four databases related to computer science. 40 papers were chosen and examined. the majority of selected papers were published through conference channels which comprising 75% of total publications. this study identified 24 problems in user stories related to requirements elicitation, with ambiguity or vagueness being the most frequently occurring problem reported 18 times, followed by incompleteness reported 11 times. Finally, the model approach was the most popular approach reported in the research paper, accounting for 30% of the total approaches reported. © 2023 ieee.

关键词： software design

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QSroute : A QoS Aware Routing Scheme for software Defined Networking 8

QSroute : A QoS Aware Routing Scheme for Software Defined Ne...

引用

8th ieee international conference on software engineering and computer systems, icsecs 2023

作者： Kamarudin, Imran Edzereiq Ameedeen, Mohamed Ariff Umar Ong, Muhamad Idaham Zabidi, Azlee Universiti Malaysia Pahang AL-Sultan Abdullah Faculty of Computing Department of Computer Systems and Networking Pekan Malaysia Department of Software Engineering Faculty of Computing Universiti Malaysia Pahang AL-Sultan Abdullah Pekan Malaysia

ISBN: (纸本)9798350310931

the increasing demand for bandwidth-intensive network applications, such as video streaming, multimedia, and Internet of things (IoT) applications, necessitates improved resource management to protect the network without compromising Quality of Service (QoS). Meeting these challenges requires a centralized view of all available network resources. software Defined Networking (SDN), an emerging technology, provides a centralized view and control of network resources. this feature enables administrators to programmatically define and manage network behavior, including routing, making it more flexible and adaptable. this study proposes a QoS-aware routing scheme for SDN that considers available bandwidth, packet delay, and packet loss to determine the optimal routing path. Optimal paths are selected based on meeting predefined threshold criteria. the study concludes by discussing potential directions for future research in this field. © 2023 ieee.

关键词： Quality of service

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