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Digital twin-enabled smart facility management: A bibliometric review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0254-4

Abstract: infrastructure monitoring, deep learning-aided continuous improvement of the FM systems, semantically rich data interoperability

Keywords： digital twin     building information modeling     facility management     semantic interoperability     artificial    

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsFour classic semantic segmentation algorithms (fully convolutional network, pyramid scene parsing network

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutional

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

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Semantic composition of distributed representations for query subtopic mining None

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1409-1419 doi: 10.1631/FITEE.1601476

Abstract: In this paper, we exploit and compare the main semantic composition of distributed representations forWe thoroughly investigate the impacts of semantic composition strategies and the types of data for learningThe empirical results show that distributed semantic representations can achieve outstanding performancefor query subtopic mining, compared with traditional semantic representations.

Keywords： Subtopic mining     Query intent     Distributed representation     Semantic composition    

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Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks Article

Ping Zhang, Wenjun Xu, Hui Gao, Kai Niu, Xiaodong Xu, Xiaoqi Qin, Caixia Yuan, Zhijin Qin, Haitao Zhao, Jibo Wei, Fangwei Zhang

Engineering 2022, Volume 8, Issue 1,   Pages 60-73 doi: 10.1016/j.eng.2021.11.003

Abstract: In particular, we aim to concretize the evolution path toward the WePCN by first conceiving a new semanticrepresentation framework, namely semantic base, and then establishing an intelligent and efficient semanticIn the IE-SC architecture, a semantic intelligence plane is employed to interconnect the semantic-empoweredphysical-bearing layer, network protocol layer, and application-intent layer via semantic informationWe also present a brief review of recent advances in semantic communications and highlight potential

Keywords： 6G     Semantic information     Semantic communication     Intelligent communication    

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Incorporating target language semantic roles into a string-to-tree translation model Article

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1534-1542 doi: 10.1631/FITEE.1601349

Abstract: However, it does not use any semantic information and tends to produce translations containing semanticIn this paper, we propose two methods to use semantic roles to improve the performance of the string-to-treetranslation model: (1) adding role labels in the syntax tree; (2) constructing a semantic role tree,Our methods enable the system to train and choose better translation rules using semantic information

Keywords： Machine translation     Semantic role     Syntax tree     String-to-tree    

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SPSSNet: a real-time network for image semantic segmentation

Saqib Mamoon, Muhammad Arslan Manzoor, Fa-en Zhang, Zakir Ali, Jian-feng Lu,saqibmamoon@njust.edu.cn,arsalaan@njust.edu.cn,zhangfaen@ainnovation.com,alizakir@njust.edu.cn,lujf@njust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.1900697

Abstract: Although deep neural networks (DNNs) have achieved great success in semantic segmentation tasks, it isIn this paper, we propose a light-weight semantic segmentation network (SPSSN), which can efficiently
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Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic

Keywords： Scene category recognition     Probabilistic latent semantic analysis     Bag-of-words     Adaptive boosting    

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Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Engineering doi: 10.1016/j.eng.2023.04.016

Abstract: The consensus of the automotive industry and traffic management authorities is that autonomous vehicles must follow the same traffic laws as human drivers. Using formal or digital methods, natural language traffic rules can be translated into machine language and used by autonomous vehicles. In this paper, a translation flow is designed. Beyond the translation, a deeper examination is required, because the semantics of natural languages are rich and complex, and frequently contain hidden assumptions. The issue of how to ensure that digital rules are accurate and consistent with the original intent of the traffic rules they represent is both significant and unresolved. In response, we propose a method of formal verification that combines equivalence verification with model checking. Reasonable and reassuring digital traffic rules can be obtained by utilizing the proposed traffic rule digitization flow and verification method. In addition, we offer a number of simulation applications that employ digital traffic rules to assess vehicle violations. The experimental findings indicate that our digital rules utilizing metric temporal logic (MTL) can be easily incorporated into simulation platforms and autonomous driving systems (ADS).

Keywords： Autonomous driving     Traffic rules     Digitization     Formalization     Verification    

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Implementation and performance evaluation of advance metering infrastructure for Borneo-Wide Power Grid

Mujahid TABASSUM,Manas K. HALDAR,Duaa Fatima S. KHAN

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 192-211 doi: 10.1007/s11708-016-0438-2

Abstract: implemented communication network used advanced metering infrastructure that operates on worldwide interoperability

Keywords： supervisory control and data acquisition systems (SCADA)     wide area monitoring system (WAMS)     worldwide interoperability    

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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, toBesides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Model division multiple access for semantic communications Research Article

Ping ZHANG, Xiaodong XU, Chen DONG, Kai NIU, Haotai LIANG, Zijian LIANG, Xiaoqi QIN, Mengying SUN, Hao CHEN, Nan MA, Wenjun XU, Guangyu WANG, Xiaofeng TAO,pzhang@bupt.edu.cn,xuxiaodong@bupt.edu.cn,dongchen@bupt.edu.cn,niukai@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 801-812 doi: 10.1631/FITEE.2300196

Abstract: high-dimensional features from signal sources in a model-based artificial intelligence approach from a semanticFrom the high-dimensional semantic space, we excavate the shared and personalized information of semantictechnology, named (MDMA)%29&ck%5B%5D=abstract&ck%5B%5D=keyword'>, which is based on the resource of the semantic

Keywords： Model division multiple access (MDMA)     Semantic communication     Multiple access    

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Federated Learning for 6G: Applications, Challenges, and Opportunities Review

Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui

Engineering 2022, Volume 8, Issue 1,   Pages 33-41 doi: 10.1016/j.eng.2021.12.002

Abstract:

Standard machine-learning approaches involve the centralization of training data in a data center, where centralized machine-learning algorithms can be applied for data analysis and inference. However, due to privacy restrictions and limited communication resources in wireless networks, it is often undesirable or impractical for the devices to transmit data to parameter sever. One approach to mitigate these problems is federated learning (FL), which enables the devices to train a common machine learning model without data sharing and transmission. This paper provides a comprehensive overview of FL applications for envisioned sixth generation (6G) wireless networks. In particular, the essential requirements for applying FL to wireless communications are first described. Then potential FL applications in wireless communications are detailed. The main problems and challenges associated with such applications are discussed. Finally, a comprehensive FL implementation for wireless communications is described.

Keywords： Federated learning 6G     Reconfigurable intelligent surface     Semantic communication     Sensing     communication    

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Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts Research Articles

Chunlin XIONG, Zhenyuan LI, Yan CHEN, Tiantian ZHU, Jian WANG, Hai YANG, Wei RUAN,chunlinxiong94@zju.edu.cn,ruanwei@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 361-381 doi: 10.1631/FITEE.2000436

Abstract: Furthermore, we design the first semantic-aware attack detection system that leverages the classic objective-orientedassociation mining algorithm and newly identifies 31 semantic signatures.

Keywords： PowerShell     Abstract syntax tree     Obfuscation and deobfuscation     Malicious script detection    

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Title Author Date Type Operation

Digital twin-enabled smart facility management: A bibliometric review

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

Semantic composition of distributed representations for query subtopic mining

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

Journal Article

Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks

Ping Zhang, Wenjun Xu, Hui Gao, Kai Niu, Xiaodong Xu, Xiaoqi Qin, Caixia Yuan, Zhijin Qin, Haitao Zhao, Jibo Wei, Fangwei Zhang

Journal Article

Incorporating target language semantic roles into a string-to-tree translation model

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

Journal Article

SPSSNet: a real-time network for image semantic segmentation

Saqib Mamoon, Muhammad Arslan Manzoor, Fa-en Zhang, Zakir Ali, Jian-feng Lu,saqibmamoon@njust.edu.cn,arsalaan@njust.edu.cn,zhangfaen@ainnovation.com,alizakir@njust.edu.cn,lujf@njust.edu.cn

Journal Article

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Journal Article

Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Journal Article

Implementation and performance evaluation of advance metering infrastructure for Borneo-Wide Power Grid

Mujahid TABASSUM,Manas K. HALDAR,Duaa Fatima S. KHAN

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Model division multiple access for semantic communications

Ping ZHANG, Xiaodong XU, Chen DONG, Kai NIU, Haotai LIANG, Zijian LIANG, Xiaoqi QIN, Mengying SUN, Hao CHEN, Nan MA, Wenjun XU, Guangyu WANG, Xiaofeng TAO,pzhang@bupt.edu.cn,xuxiaodong@bupt.edu.cn,dongchen@bupt.edu.cn,niukai@bupt.edu.cn

Journal Article

Federated Learning for 6G: Applications, Challenges, and Opportunities

Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui

Journal Article

Generic, efficient, and effective deobfuscation and semantic-aware attack detection for PowerShell scripts

Chunlin XIONG, Zhenyuan LI, Yan CHEN, Tiantian ZHU, Jian WANG, Hai YANG, Wei RUAN,chunlinxiong94@zju.edu.cn,ruanwei@zju.edu.cn

Journal Article