检索结果-内蒙古大学图书馆

A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics

引用

Science China(Information Sciences) 2023年第8期66卷 269-270页

作者： Wenkai XU Li WANG Shiwen SUN Chengyi XIA Zengqiang CHEN Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology The Engineering Research Center of Learning-Based Intelligent System Ministry of Education College of Artificial Intelligence Nankai University

At present, an increasing number of researchers have noticed the importance of optimal consensus control(OCC) of multiagent systems(MASs) because of their rich practical applications in various areas [1–4]. To accomp...

关键词：

来源：评论

学校读者我要写书评

暂无评论

Metaverse Trend: Definition, Application, Opportunities, Law, and Ethics

Metaverse Trend: Definition, Application, Opportunities, Law...

引用

2023 IEEE International Conference on Computing, ICOCO 2023

作者： Safitra, Muhammad Fakhrul Alhari, Muhammad Ilham Putri, Deyana Prastika Lubis, Muharman Fakhrurroja, Hanif Satria, Villy School of Industrial and System Engineering Telkom University Information System Department Bandung Indonesia Institut Teknologi Telkom Surabaya Information System Department Surabaya Indonesia School of Industrial and System Engineering Telkom University Industrial Engineering Department Bandung Indonesia School of Applied Science Telkom University Application Software Engineering Department Bandung Indonesia

ISBN: (纸本)9798350302684

The Metaverse concept pertains to an interconnected virtual realm comprised of virtual communities and spaces of virtual reality. In this domain, users can engage with each other through digital entities within a shared environment. This extensive digital domain harbors considerable potential to function as a versatile platform for diverse applications, encompassing gaming, social interaction, education, and commerce. The advancement of the Metaverse offers numerous prospects, including the creation of innovative modes of entertainment and communication, enabling remote collaboration, and ushering in novel business paradigms. However, the emergence of the Metaverse also gives rise to significant legal and ethical considerations, encompassing apprehensions surrounding privacy, intellectual property, and governance. To contend with these challenges, it is imperative to initially scrutinize extant literature concerning the Metaverse, its implementation, and to explore suggested solutions aimed at enhancing security and privacy. By amalgamating the technical framework of the Metaverse with its application state, we can glean insights into prevailing vulnerabilities and formulate appropriate security measures to shape the trajectory of this virtual realm. © 2023 IEEE.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

Intelligent Blocking and Prevention of SARS-CoV-2 Based on Evolutionary Reinforcement Learning 13

Intelligent Blocking and Prevention of SARS-CoV-2 Based on E...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： He, Chengwei Hong, Huaping Ma, Lijia Zhu, Qingling Bai, Yuan College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China

ISBN: (纸本)9798350308365

In recent years, the global repercussions of SARS-CoV-2 and its variants have posed significant challenges to various areas, including the economic order, transportation, healthcare, and education, and the mitigation and prevention of SARS-CoV-2 and other infectious diseases have received much attention. This paper tries to develop a rational and effective intervention strategy in response to the dynamic evolution of the SARS-CoV-2 epidemic. To address this issue, we first use the SEIR model to analyze the population distribution under the SARS-CoV-2 epidemic, and then integrate a deep Q-neural network (DQN) to reflect an economic quantification model contextualized within the SARS-CoV-2 scenario. Next, we propose an evolutionary deep reinforcement learning to generate an optimal and adaptive intervention strategy, by optimizing the weight sequence of the DQN. The experimental results show the effectiveness of the proposed method in maximizing economic benefits, while ensuring the uninterrupted functionality of medical institutions. Importantly, the learned intervention strategy exhibits the applicability to other infectious diseases. © 2024 IEEE.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Identifying and Documenting Best Practices in Digital Transformation 28

Identifying and Documenting Best Practices in Digital Transf...

引用

28th European Conference on Pattern Languages of Programs, EuroPLoP 2023

作者： Momand, Mohammad Yusuf Vranic, Valentino Institute of Informatics Information System and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia

ISBN: (纸本)9798400700408

Digital transformation allows organizations to maintain sustainable development and address ongoing challenges. The current digital transformation and advanced technology mega-trend significantly impact society and organizations, making digital technology crucial for public and private organizations, universities, and daily life. Despite the rising demand, there is often a lack of standard policies governing the use of digital technology. Practical experience and literature reveal key challenges in transitioning from traditional to digital systems, including limited public awareness, mindset, ICT skills, government support, and collaboration between organizations and software engineering societies. Governments must establish digital transformation policies and offer software development guidelines for public organizations to digitalize their systems. Additionally, they should provide or support research projects funded by governmental and nongovernmental organizations to identify infrastructure and regulatory issues within Afghanistan’s digital transformation context. This study documents six organizational patterns observed during the transformation of traditional systems into digital systems, illustrating their sequence and explaining the development of a pattern language from these patterns. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

MACLSTM: A Weather Attributes Enabled Recurrent Approach to Appliance-Level Energy Consumption Forecasting

引用

Computers, Materials & Continua 2025年第2期82卷 2969-2984页

作者： Ruoxin Li Shaoxiong Wu Fengping Deng Zhongli Tian Hua Cai Xiang Li Xu Xu Qi Liu NARI-TECH Nanjing Control System Co. Ltd.Nanjing211106China School of Software Nanjing University of Information Science&TechnologyNanjing210044China Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services Nanjing210044China

Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management plan of the available resources at the power grids and consumer levels. A non-intrusive inference process can be adopted to predict the amount of energy required by appliances. In this study, an inference process of appliance consumption based on temporal and environmental factors used as a soft sensor is proposed. First, a study of the correlation between the electrical and environmental variables is presented. Then, a resampling process is applied to the initial data set to generate three other subsets of data. All the subsets were evaluated to deduce the adequate granularity for the prediction of the energy demand. Then, a cloud-assisted deep neural network model is designed to forecast short-term energy consumption in a residential area while preserving user privacy. The solution is applied to the consumption data of four appliances elected from a set of real household power data. The experiment results show that the proposed framework is effective for estimating consumption with convincing accuracy.

关键词： Electrical load forecasting cloud computing smart grid weather attributes energy consumption time-series analysis

来源：评论

学校读者我要写书评

暂无评论

Leveraging Transfer Learning for Spatio-Temporal Human Activity Recognition from Video Sequences

引用

Computers, Materials & Continua 2023年第3期74卷 5017-5033页

作者： Umair Muneer Butt Hadiqa Aman Ullah Sukumar Letchmunan Iqra Tariq Fadratul Hafinaz Hassan Tieng Wei Koh School of Computer Sciences Universiti Sains MalaysiaPenang1180Malaysia Department of Computer Science The University of ChenabGujrat50700Pakistan Department of Software Engineering and Information System Universiti Putra MalaysiaSelangor43400Malaysia

Human Activity Recognition(HAR)is an active research area due to its applications in pervasive computing,human-computer interaction,artificial intelligence,health care,and social ***,dynamic environments and anthropometric differences between individuals make it harder to recognize *** study focused on human activity in video sequences acquired with an RGB camera because of its vast range of real-world *** uses two-stream ConvNet to extract spatial and temporal information and proposes a fine-tuned deep neural ***,the transfer learning paradigm is adopted to extract varied and fixed frames while reusing object identification *** state-of-the-art pre-trained models are exploited to find the best model for spatial feature *** temporal sequence,this study uses dense optical flow following the two-stream ConvNet and Bidirectional Long Short TermMemory(BiLSTM)to capture *** state-of-the-art datasets,UCF101 and HMDB51,are used for evaluation *** addition,seven state-of-the-art optimizers are used to fine-tune the proposed network ***,this study utilizes an ensemble mechanism to aggregate spatial-temporal features using a four-stream Convolutional Neural Network(CNN),where two streams use RGB *** contrast,the other uses optical flow ***,the proposed ensemble approach using max hard voting outperforms state-ofthe-art methods with 96.30%and 90.07%accuracies on the UCF101 and HMDB51 datasets.

关键词： Human activity recognition deep learning transfer learning neural network ensemble learning spatio-temporal

来源：评论

学校读者我要写书评

暂无评论

Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving

arXiv

引用

arXiv 2024年

作者： Aslam, Iqra Anpilogov, Igor Rausch, Andreas Institute for Software and System Engineering TU Clausthal Germany

Autonomous driving technology is progressing rapidly, largely due to complex End-To-End systems based on deep neural networks. While these systems are effective, their complexity can make it difficult to understand their behavior, which raises safety concerns. This paper presents a new solution: a Behavior Selector that uses multiple smaller artificial neural networks (ANNs) to manage different driving tasks, such as lane following and turning. Rather than relying on a single large network, which can be burdensome, require extensive training data and is hard to understand. The developed approach allows the system to dynamically select the appropriate neural network for each specific behaviour (i.e. turns) in real time. We focus on ensuring smooth transitions between behaviors and taking into account the vehicle's current speed and orientation to improve stability and safety. The proposed system has been tested using the AirSim simulation environment, demonstrating its effectiveness. © 2024, CC BY.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Research on Configuration Management for MBSE Model 11th

Research on Configuration Management for MBSE Model

引用

11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Zhao, Han Wen, Xiaolong Jin, Jingchao Wang, Liqiao Beijing Institute of Spacecraft System Engineering Beijing100094 China Beijing Shenzhou Aerospace Software Technology Co. Ltd. Beijing100094 China

ISBN: (纸本)9789819721191

Traditional document-based system engineering is difficult to meet the needs of complex spacecraft missions, it is necessary to adopt Model-Based system engineering theory and method. Based on the requirements of model management and configuration control in MBSE engineering practice, the research of configuration management method for MBSE model is proposed. The method divides the model life cycle into co-design process and controlled release process. The configuration management of the collaborative design process is supported by the collaborative tool, and the release process is supported by the PDM system. After the design model meets the requirements for issuance, the process of review, approval and change management are executed through the integration with the PDM system, thus establishing the status control mode of the model life cycle. The application verification is carried out through pilot project to support the development of MBSE engineering practice in the CASC. The MBSE engineering practice is supported. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Prioritization Approach by integrating non-Functional and Functional User Stories in Agile-Scrum software Development (i-USPA):A preliminary study

A Hybrid Prioritization Approach by integrating non-Function...

引用

2022 IEEE International Conference on Computing, ICOCO 2022

作者： Borhan, Noor Hazlini Zulzalil, Hazura Hassan, Sa'Adah Ali, Norhayati Mohd Universiti Malaysia Sarawak Department of Software Engineering Sarawak Malaysia Universiti Putra Malaysia Department of Software Engineering & Information System Selangor Malaysia

ISBN: (纸本)9781665489966

Due to its significance in the creation of software projects, the Agile-Scrum methodology has only lately become well-known in the field of software development. The Scrum technique, which is a process that gradually, iteratively, and continuously provides software based on time boxes, is another study that supports agile practitioners' recent shift towards this method (sprints). It consists of user stories that are delivered during sprints by a Scrum team made up of team members, a Scrum Master, and a Product Owner. User stories are kept in product backlogs. The integrated needs prioritization methodologies have been created by a small number of scholars. However, the majority of the research is on non-agile software development. The prioritization of both functional and nonfunctional user stories simultaneously during Agile-Scrum software Development (ASSD) is one of the main gaps that has been ignored by all of these methodologies, according to the literature review conducted by the researchers. The purpose of this study is to outline a research plan for creating an integrated user story prioritizing approach that combines non-functional and functional user stories of the ASSD (i-USPA). The preliminary findings demonstrate the critical importance of understanding the significance of non-functional user stories or requirements during the early stages of software development using the agile methodology, particularly in ASSD, in order to produce high-quality software while staying within budget and time constraints. The data was acquired from a small group of experts or software practitioners who use Agile, particularly the Scrum technique, in their organizations. © 2022 IEEE.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Graph-to-Text Generation Combining Directed and Undirected Structural Information in Knowledge Graphs∗ 5

Graph-to-Text Generation Combining Directed and Undirected S...

引用

5th International Conference on Natural Language Processing, ICNLP 2023

作者： Gong, Hongda Shan, Shimin Wei, Hongkui Dalian University of Technology Software School DaLian116620 China Beijing Institute of Electronic System Engineering State Key Laboratory of Intelligent Manufacturing System Technology Beijing100854 China

ISBN: (纸本)9798350302219

Graph-to-text generation task is transforms knowledge graphs into natural language. In current research, pretrained language models(PLMs) have shown better performance than structured graph encoders in the generation task. Currently, PLMs serialise knowledge graphs mostly by transforming them into undirected graph structures. The advantage of an undirected graph structure is that it provides a more comprehensive representation of the information in knowledge graph, but it is difficult to capture the dependencies between entities, so the information represented may not be accurate. Therefore, We use four types of positional embedding to obtain both the directed and undirected structure of the knowledge graph, so that we can more fully represent the information in knowledge graph, and the dependencies between entities. We then add a semantic aggregation module to the Transformer layer of PLMs, which is used to obtain a more comprehensive representation of the information in knowledge graph, as well as to capture the dependencies between entities. Thus, our approach combines the advantages of both directed and undirected structural information. In addition, our new approach is more capable of capturing generic knowledge and can show better results with small samples of data. © 2023 IEEE.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：