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Massively efficient filter for topology optimization based on the splitting of tensor product structure

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0710-6

Abstract: put forward a massively efficient filter for topology optimization (TO) utilizing the splitting of tensorproduct structure.decomposed by the splitting pipeline as that applied to implicit filter, is established in terms of the tensorproduct of the axial distances between adjacent element centroids, and the corresponding sensitivityTherefore, the proposed filter is massively improved by the splitting of tensor product structure and

Keywords： topology optimization     isogeometric analysis     finite element analysis     tensor product structure     sensitivity    

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Output feedback stabilizer design of Boolean networks based on network structure Research Articles

Jie ZHONG, Bo-wen LI, Yang LIU, Wei-hua GUI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 247-259 doi: 10.1631/FITEE.1900229

Abstract: output feedback stabilizer design of Boolean networks (BNs) to achieve global stabilization via the semi-tensorproduct method.Based on network structure information describing coupling connections among nodes, an output feedback

Keywords： Boolean networks     Output feedback stabilizer     Network structure     Semi-tensor product of matrices    

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Cascading decomposition of Boolean control networks: a graph-theoreticalmethod Research Articles

Yi-feng LI, Jian-dong ZHU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 304-315 doi: 10.1631/FITEE.1900422

Abstract: Two types of cascading decomposition problems of Boolean control networks are investigated using a raph-theoretical method. A new graphic concept called nested perfect equal vertex partition (NPEVP) is proposed. Based on NPEVP, the necessary and sufficient graphic conditions for solvability of the cascading decomposition problems are obtained. Given the proposed graphic conditions, the logical coordinate transformations are constructively obtained to realize the corresponding cascading decomposition forms. Finally, two illustrative examples are provided to validate the results.

Keywords： Boolean control networks     Semi-tensor product     Cascading decomposition     Graphic condition    

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Output tracking of delayed logical control networks withmulti-constraint Research Articles

Ya-ting ZHENG, Jun-e FENG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 316-323 doi: 10.1631/FITEE.1900376

Abstract: Using the semi-tensor product of matrices, dynamical equations of DLCNs are converted into an algebraic

Keywords： Logical control networks     Multi-constraint     Output tracking     Stabilization     State-dependent delay     Semi-tensorproduct    

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Newdevelopments in control design techniques of logical control networks Review Articles

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 220-233 doi: 10.1631/FITEE.1900397

Abstract: First, some preliminary results on the semi-tensor product method and LCNs are reviewed.

Keywords： Logical control network     Control design     Semi-tensor product of matrices    

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Controllability of Boolean control networks with multiple time delays in both states and controls Research Article

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 906-915 doi: 10.1631/FITEE.2200618

Abstract: For this problem, a matrix is constructed by defining a new product of matrices, based on which a necessary

Keywords： Boolean control networks     Semi-tensor product of matrices     Controllability     Time delay    

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus     microalbuminuria     diffusion weighted imaging     diffusion tensor imaging     early-stage    

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Meshless numerical method based on tensor product

SUN Haitao, WANG Yuanhan, MIAO Yu

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 166-171 doi: 10.1007/s11709-008-0021-y

Abstract: A normalized space constructed by tensor product is used in field function approach to give a special

Keywords： mathematical     continuity     inversion     selection     efficient    

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PROPOSED INNOVATION REFORM MODEL FOR THE MINERAL NITROGEN FERTILIZER INDUSTRY IN CHINA TO REDUCE GREENHOUSE GAS EMISSIONS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 234-247 doi: 10.15302/J-FASE-2022468

Abstract:

● The carbon footprint of the nitrogen fertilizer chain has decreased significantly over the last decade.

Keywords： carbon accounting     life cycle assessment     policy     product structure    

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A matrix-based static approach to analysis of finite state machines Research Article

He DENG, Yongyi YAN, Zengqiang CHEN,yyyan@mail.nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1239-1246 doi: 10.1631/FITEE.2100561

Abstract: this study, we propose a static matrix-based approach that revisits a finite state machine from its structure

Keywords： Logical systems     Finite-valued systems     Semi-tensor product of matrices     Finite state machines     Matrix    

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A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations Research Article

Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU,jqluma@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 813-827 doi: 10.1631/FITEE.2200645

Abstract: In this paper, an efficient image encryption scheme based on a novel mixed linear–nonlinear coupled map lattice (NMLNCML) system and is presented. The proposed NMLNCML system strengthens the chaotic characteristics of the system, and is applicable for image encryption. The main advantages of the proposed method are embodied in its extensive key space; high sensitivity to secret keys; great resistance to chosen-plaintext attack, statistical attack, and differential attack; and good robustness to noise and data loss. Our image cryptosystem adopts the architecture of scrambling, compression, and diffusion. First, a plain image is transformed to a sparsity coefficient matrix by discrete wavelet transform, and plaintext-related Arnold scrambling is performed on the coefficient matrix. Then, (STP) is employed to compress and encrypt the coefficient matrix. Finally, the compressed coefficient matrix is diffused by DNA random encoding, DNA addition, and bit XOR operation. The NMLNCML system is applied to generate chaotic elements in the STP measurement matrix of and the pseudo-random sequence in . An SHA-384 function is used to produce plaintext secret keys and thus makes the proposed encryption algorithm highly sensitive to the original image. Simulation results and performance analyses verify the security and effectiveness of our scheme.

Keywords： Compressive sensing     Coupled map lattice (CML)     DNA operations     Semi-tensor product    

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Characterizing Flight Delay Profiles with a Tensor Factorization Framework Article

Mingyuan Zhang, Shenwen Chen, Lijun Sun, Wenbo Du, Xianbin Cao

Engineering 2021, Volume 7, Issue 4,   Pages 465-472 doi: 10.1016/j.eng.2020.08.024

Abstract:

In air traffic and airport management, experience gained from past operations is crucial in designing appropriate strategies when facing a new scenario. Therefore, this paper uses massive spatiotemporal flight data to identify similar traffic and delay patterns, which become critical for gaining a better understanding of the aviation system and relevant decision-making. However, as the datasets imply complex dependence and higher-order interactions between space and time, retrieving significant features and patterns can be very challenging. In this paper, we propose a probabilistic framework for high-dimensional historical flight data. We apply a latent class model and demonstrate the effectiveness of this framework using air traffic data from 224 airports in China during 2014–2017. We find that profiles of each dimension can be clearly divided into various patterns representing different regular operations. To prove the effectiveness of these patterns, we then create an estimation model that provides preliminary judgment on the airport delay level. The outcomes of this study can help airport operators and air traffic managers better understand air traffic and delay patterns according to the experience gained from historical scenarios.

Keywords： Air traffic management     Flight delay     Latent class model     Tensor decomposition    

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Altered white matter microarchitecture in Parkinson’s disease: a voxel-based meta-analysis of diffusion tensor

Xueling Suo, Du Lei, Wenbin Li, Lei Li, Jing Dai, Song Wang, Nannan Li, Lan Cheng, Rong Peng, Graham J Kemp, Qiyong Gong

Frontiers of Medicine 2021, Volume 15, Issue 1,   Pages 125-138 doi: 10.1007/s11684-019-0725-5

Abstract: Web-based publication databases were searched to conduct a meta-analysis of whole-brain diffusion tensor

Keywords： Parkinson’s disease     diffusion tensor imaging     fractional anisotropy     meta-analysis     anisotropic effect size–signed    

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Oral product input to the GI tract: GIS an oral product performance technology

Gordon L. Amidon, Yasuhiro Tsume

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 516-520 doi: 10.1007/s11705-017-1658-7

Abstract: The patient receives a pharmaceutical product, not a drug.Therefore, it is the product we must optimize for the patients.to assure the safety and efficacy of pharmaceutical products, we need an predictive tool for oral product

Keywords： GIS     in vivo predictive dissolution     ketoconazole     BCS subclassification     supersaturation    

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Review of sentiment analysis: An emotional product development view

Frontiers of Engineering Management   Pages 592-609 doi: 10.1007/s42524-022-0227-z

Abstract: Conveying consumers’ specific emotions in new products, referred to as emotional product developmentfeatures by mixing technical product features and consumers’ emotional perceptions.Furthermore, after conceptualizing emotion as Kansei and introducing emotional product development andemotional opinions from online reviews, thus cannot realize data-driven emotional product developmentThis study opens a broad door to aspect-level SA and its integration with emotional product development

Keywords： sentiment analysis     emotion     product development     Kansei Engineering    

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Title Author Date Type Operation

Massively efficient filter for topology optimization based on the splitting of tensor product structure

Journal Article

Output feedback stabilizer design of Boolean networks based on network structure

Jie ZHONG, Bo-wen LI, Yang LIU, Wei-hua GUI

Journal Article

Cascading decomposition of Boolean control networks: a graph-theoreticalmethod

Yi-feng LI, Jian-dong ZHU

Journal Article

Output tracking of delayed logical control networks withmulti-constraint

Ya-ting ZHENG, Jun-e FENG

Journal Article

Newdevelopments in control design techniques of logical control networks

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Journal Article

Controllability of Boolean control networks with multiple time delays in both states and controls

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Journal Article

evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Journal Article

Meshless numerical method based on tensor product

SUN Haitao, WANG Yuanhan, MIAO Yu

Journal Article

PROPOSED INNOVATION REFORM MODEL FOR THE MINERAL NITROGEN FERTILIZER INDUSTRY IN CHINA TO REDUCE GREENHOUSE GAS EMISSIONS

Journal Article

A matrix-based static approach to analysis of finite state machines

He DENG, Yongyi YAN, Zengqiang CHEN,yyyan@mail.nankai.edu.cn

Journal Article

A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations

Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU,jqluma@seu.edu.cn

Journal Article

Characterizing Flight Delay Profiles with a Tensor Factorization Framework

Mingyuan Zhang, Shenwen Chen, Lijun Sun, Wenbo Du, Xianbin Cao

Journal Article

Altered white matter microarchitecture in Parkinson’s disease: a voxel-based meta-analysis of diffusion tensor

Xueling Suo, Du Lei, Wenbin Li, Lei Li, Jing Dai, Song Wang, Nannan Li, Lan Cheng, Rong Peng, Graham J Kemp, Qiyong Gong

Journal Article

Oral product input to the GI tract: GIS an oral product performance technology

Gordon L. Amidon, Yasuhiro Tsume

Journal Article

Review of sentiment analysis: An emotional product development view

Journal Article