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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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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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Digital twin-enabled smart facility management: A bibliometric review

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

Abstract: In recent years, the architecture, engineering, construction, and facility management (FM) industries have been applying various emerging digital technologies to facilitate the design, construction, and management of infrastructure facilities. Digital twin (DT) has emerged as a solution for enabling real-time data acquisition, transfer, analysis, and utilization for improved decision-making toward smart FM. Substantial research on DT for FM has been undertaken in the past decade. This paper presents a bibliometric analysis of the literature on DT for FM. A total of 248 research articles are obtained from the Scopus and Web of Science databases. VOSviewer is then utilized to conduct bibliometric analysis and visualize keyword co-occurrence, citation, and co-authorship networks; furthermore, the research topics, authors, sources, and countries contributing to the use of DT for FM are identified. The findings show that the current research of DT in FM focuses on building information modeling-based FM, artificial intelligence (AI)-based predictive maintenance, real-time cyber–physical system data integration, and facility lifecycle asset management. Several areas, such as AI-based real-time asset prognostics and health management, virtual-based intelligent infrastructure monitoring, deep learning-aided continuous improvement of the FM systems, semantically rich data interoperability throughout the facility lifecycle, and autonomous control feedback, need to be further studied. This review contributes to the body of knowledge on digital transformation and smart FM by identifying the landscape, state-of-the-art research trends, and future needs with regard to DT in FM.

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

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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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The role of natriuretic peptide precursor A gene polymorphism in the development of coronary heart disease in Chinese Han population?

Ripen NSENGA MD, Longxian CHENG PhD, Mei’an HE PhD, Tangchun WU PhD,

Frontiers of Medicine 2009, Volume 3, Issue 4, Pages 437-442 doi: 10.1007/s11684-009-0074-x

Abstract: Genotyping of SNP was performed with Taqman SNP allelic discrimination assays by means of an ABI 7900HT

Keywords： natriuretic peptide precursor A coronary heart disease gene polymorphism allelic discrimination polymorphism

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Quality evaluation of lightweight cellular concrete by an ultrasound-based method

Xin LIU; Dongning SUN; Jinhe LIAO; Zhiwei SHAO; Yunqiang SHI; Siqing ZHANG; Yunlong YAO; Baoning HONG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9, Pages 1170-1182 doi: 10.1007/s11709-022-0874-5

Abstract: this paper, the quality of LCC subgrade was evaluated with respect to compressive strength and crack discrimination

Keywords： lightweight cellular concrete subgrade ultrasound testing quality evaluation crack discrimination

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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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Deceptive jamming discrimination based on range-anglelocalization of a frequency diverse array Article

Zhao-jian ZHANG, Jun-wei XIE, Chuan SHENG, Zhun TANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1437-1446 doi: 10.1631/FITEE.1601577

Abstract: We propose a method to suppress deceptive jamming by frequencydiverse array (FDA) in radar electronic countermeasure environments.FDA offers a new range-angle-dependent beam pattern through a smallfrequency increment across elements. Due to the coupling between theangle and range, a mismatch between the test angle and physical angleoccurs when the slant range on which the beam focuses is not equalto the slant range of the real target. In addition, the range of thetarget can be extracted by sum-difference beam except for time-delaytesting, because the beam provides a range resolution in the FDA thatcannot be deceived by traditional deceptive jamming. A strategy ofusing FDA to transmit two pulses with zero and nonzero frequency increments,respectively, is proposed to ensure that the angle of a target canbe obtained by FDA. Moreover, the localization performance is examinedby analyzing the Cramer-Rao lower bound and detection probability.Effectiveness of the proposed method is confirmed by simulation results.

Keywords： Frequency diverse array (FDA) Deceptive jamming Range-angle coupling Sum-difference beam Double-pulse

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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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Title Author Date Type Operation

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

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

Digital twin-enabled smart facility management: A bibliometric review

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

The role of natriuretic peptide precursor A gene polymorphism in the development of coronary heart disease in Chinese Han population?

Ripen NSENGA MD, Longxian CHENG PhD, Mei’an HE PhD, Tangchun WU PhD,

Journal Article

Quality evaluation of lightweight cellular concrete by an ultrasound-based method

Xin LIU; Dongning SUN; Jinhe LIAO; Zhiwei SHAO; Yunqiang SHI; Siqing ZHANG; Yunlong YAO; Baoning HONG

Journal Article

Semantic Consistency and Correctness Verification of Digital Traffic Rules

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