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Efficient construction of a substitution box based on a Mordell elliptic curve over a finite field Research Article

Naveed Ahmed Azam, Umar Hayat, Ikram Ullah,azam@amp.i.kyoto-u.ac.jp,umar.hayat@qau.edu.pk

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1378-1389 doi: 10.1631/FITEE.1800434

Abstract: We study the balance problem caused by forward leaning of the wearer’s upper body during rehabilitation training with a lower limb rehabilitation exoskeleton. The instantaneous capture point is obtained by modeling the human-exoskeleton system and using the capture point theory. By comparing the stability region with instantaneous capture points of different gait phases, the balancing characteristics of different gait phases and changes to the equilibrium state in the gait process are analyzed. Based on a model of the human-exoskeleton system and the condition of balance of different phases, a trajectory correction strategy is proposed for the instability of the human-exoskeleton system caused by forward leaning of the wearer’s upper body. Finally, the reliability of the trajectory correction strategy is verified by carrying out experiments on the Zhejiang University Lower Extremity Exoskeleton. The proposed trajectory correction strategy can respond to forward leaning of the upper body in a timely manner. Additionally, in the process of the center of gravity transferred from a double-support phase to a single-support phase, the ratio of gait cycle to zero moment point transfer is reduced correspondingly, and the gait stability is improved.

Keywords： 密码置换盒；有限域；莫德尔椭圆曲线；总阶数；计算复杂度    

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On observability of Galois nonlinear feedback shift registers over finite fields Research Article

Zhe GAO, Jun´e FENG, Yongyuan YU, Yanjun CUI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1533-1545 doi: 10.1631/FITEE.2200228

Abstract:

ensures that any two distinct initial states can be uniquely determined by their outputs, so the stream ciphers can avoid unobservable to prevent the occurrence of equivalent keys. This paper discusses the of over . are treated as using the . The vector form of the state transition matrix is introduced, by which a necessary and sufficient condition is proposed, as well as an algorithm for determining the of general . Moreover, a new matrix is defined, which can derive a matrix method with lower computation complexity. Furthermore, the of two special types of , a full-length Galois NFSR and a nonsingular Galois NFSR, is investigated. Two methods are proposed to determine the of these two special types of NFSRs, and some numerical examples are provided to support these results.

Keywords： Observability     Nonlinear feedback shift registers (NFSRs)     Galois NFSRs     Semi-tensor product     Finite fields     Logical networks    

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The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 38-42

Abstract:

High Q inductors are the important elements for RF circuit design. In this paper, the FDTD method is applied to explain the crowding effect of the spiral inductor , which can never be accurately analyzed by analytical solutions. The experimental results verify the FDTD simulation. The micro genetic algorithms and FDTD are combined to design the high Q inductor. The results show the efficiency of this exploration.

Keywords： FDTD     genetic algorithms(GA)     spiral inductor     quality factor    

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Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: The goal of decentralized is to conduct unsupervised in a scenario. The challenge of is that the source domains and target domain lack cross-domain collaboration during training. On the unlabeled target domain, the target model needs to transfer supervision knowledge with the collaboration of source models, while the domain gap will lead to limited adaptation performance from source models. On the labeled source domain, the source model tends to overfit its domain data in the scenario, which leads to the problem. For these challenges, we propose dual collaboration for decentralized by training and aggregating the local source models and local target model in collaboration with each other. On the target domain, we train the local target model by distilling supervision knowledge and fully using the unlabeled target domain data to alleviate the problem with the collaboration of local source models. On the source domain, we regularize the local source models in collaboration with the local target model to overcome the problem. This forms a dual collaboration between the decentralized source domains and target domain, which improves the domain adaptation performance under the scenario. Extensive experiments indicate that our method outperforms the state-of-the-art methods by a large margin on standard datasets.

Keywords： Multi-source domain adaptation     Data decentralization     Domain shift     Negative transfer    

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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: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learning domain-invariant representations. Recent approaches achieve this by directly matching the marginal distributions of these two domains. Most of them, however, ignore exploration of the dynamic trade-off between and learning, thus rendering them susceptible to the problems of negative transfer and outlier samples. To address these issues, we introduce the dynamic parameterized learning framework. First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, to adaptively adjust the of and learning. Besides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align training trajectories on both source and target domains. Comprehensive experiments are conducted to validate the effectiveness of the proposed methods, and extensive comparisons are conducted on seven datasets of three visual tasks to demonstrate their practicability.

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Determination and Division of Radiative Color Gamut in Primary-Color Method for Temperature Measurement

Wang Anquan,Cheng Xiaofang,Lu Shaosong

Strategic Study of CAE 2002, Volume 4, Issue 8,   Pages 54-57

Abstract:

The principle of primary-color method for temperature measurement is firstly introduced in this article. Based on the lineal model of spectral emissivity in the range of visible spectrum, the formulation of radiative chrominance of real bodies is put forward. Afterwards, it's made clear that two temperature solutions can be derived from one specific chrominance at most. The radiative color gamut is determined and divided into two components, the single-solution gamut and the dual-solution gamut.

Keywords： temperature measurement     primary-color method     color gamut     emissivity    

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Theoretical Study of Color Gamut of Higher Plant Leaves

Cheng Xiaofang,Dong Jinyi,Fan Xueliang,Ding Jinlei

Strategic Study of CAE 2006, Volume 8, Issue 12,   Pages 66-69

Abstract:

The chlorophylls and cartotenoids are the main pigments in leaves of the higher plants, which giveing the color of leaves. Based on the CIE1931 chromaticity coordinates of the chlorophylls and cartotenoids obtained from their classical absorption spectrum and the law of additive color mixing, the theoretical color gamut of higher plant leaves is determined. The theoretical prediction agrees well with the experimental results.

Keywords： higher plant     pigment     absorption spectra     chromaticity coordinate     color gamut    

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: Deep neural networks have been successfully applied to numerous machine learning tasks because of their impressive feature abstraction capabilities. However, conventional deep networks assume that the training and test data are sampled from the same distribution, and this assumption is often violated in real-world scenarios. To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), a new unsupervised domain adaptation algorithm which adapts an existing deep network through additive correction layers spaced throughout the network. Through the additive layers, the representations of source and target domains can be perfectly aligned. The corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasing the representational capacity of the network. LDC requires no target labels, achieves state-of-the-art performance across several adaptation benchmarks, and requires significantly less training time than existing adaptation methods.

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

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Slope Stability Analysis by Strength Reduction FEM

Zheng Yingren,Zhao Shangyi,Zhang Luyu

Strategic Study of CAE 2002, Volume 4, Issue 10,   Pages 57-61

Abstract:

An analysis method for slope safety factor through c - cp reduction algorithm by finite elements is presented. When the system reaches instability, the numerical non-convergence occurs simultaneously. The safety factor is then obtained by c - ψ reduction algorithm. The same time, the critical failure surface is found automatically. The traditional limit equilibrium method can't get the safety factor and failure surface of jointed rock slope. Strength Reduction FEM (SRFEM) presents a powerful alternative approach for slope stability analysis, especially to jointed rock slope. This paper analyzes the precision and error caused by different soil yield criterions、FEM itself、slope height、slope angle´cohesion and friction angle thoroughly. Through a series of case studies, the results show average error of safety factor between Strength Reduction FEM and traditional limit equilibrium method (Bishop simplified method) is 3 %～8 %，the error between SRFEM and Spencer's method is 1 %～4 % . The applicability of the proposed method was clearly exhibited.

Keywords： slope stability analysis     strength reduction by FEM     yield criterions    

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Coupled Thermo-Mechanical Simulation of Gear Preforming Based on Finite Deformation Theory

Ying Fuqiang,Pan Xiaoyong,Li Min

Strategic Study of CAE 2007, Volume 9, Issue 7,   Pages 47-52

Abstract:

Gear preforming by cross wedge rolling is an original question for discussion, parameters such as deformation, temperature field and mechanical performance are looking forward to be researched. This paper ties the advantages of preforming by CWR and the principle of generated gear together, and the die suited for gear rolling has been designed. Based on the finite deformation theory, the coupled thermal-mechanical constitutive model of gear rolling by CWR has been established. Then FEM simulation for the forming process has been developed in MSC. SuperForm, and information gained from the simulation has been analyzed also in detail which provide references for further study of gear rolling by CWR technology.

Keywords： cross wedge rolling(CWR)     gear     coupled thermo-mechanical     FEM    

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State space optimization of finite state machines from the viewpoint of control theory Research Article

Jumei Yue, Yongyi Yan, Zengqiang Chen, He Deng,yjm@mail.nankai.edu.cn,yyyan@mail.nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000608

Abstract: Motivated by the inconvenience or even inability to explain the mathematics of the state of (FSMs) in most existing results, we consider the problem by viewing FSMs as logical dynamic systems. Borrowing ideas from the concept of equilibrium points of dynamic systems in control theory, the concepts of -equivalent states and -source equivalent states are introduced. Based on the state transition dynamic equations of FSMs proposed in recent years, several mathematical formulations of -equivalent states and -source equivalent states are proposed. These can be analogized to the necessary and sufficient conditions of equilibrium points of dynamic systems in control theory and thus give a mathematical explanation of the optimization problem. Using these mathematical formulations, two methods are designed to find all the -equivalent states and -source equivalent states of FSMs. Further, two ways of reducing the state space of FSMs are found. These can be implemented without computers but with only pen and paper in a mathematical manner. In addition, an open question is raised which can further improve these methods into unattended ones. Finally, the correctness and effectiveness of the proposed methods are verified by a practical language model.

Keywords： 有限状态自动机；有限值系统；逻辑系统；逻辑网络；矩阵半张量积；空间优化    

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Study on Finite Element Method for Calculation of Stress on External Ring of One-way Clutch

Luo Yixin,Wu Bo

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 56-59

Abstract:

At present there is no appropriate method for calculation of stress on external ring of a one-way clutch. In this paper, according to characteristics of the external ring, the method of finite element analyais has been used, the factors which have influence on computational accuracy have been studied, and the stress on external ring of a five roller-type one-way clutch has been calculated. Studies have shown that finite element analyais is really an attractive method for the calculation of stress on parts similar to external ring.

Keywords： clutch     external ring     stress     finite element    

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Perspectives on cross-domain visual analysis of cyber-physical-social big data Perspective

Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang,cloudseawang@gmail.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2100553

Abstract: The domain of cyber-physical-social (CPS) big data is generally defined as the set consisting of all the elements in its defined domain, including domains of data, objects, tasks, application scenarios, and subjects. Visual analytics is an emerging human-in-the-loop big data analytics paradigm that can exploit human perception to enhance human cognitive efficiency. In this paper, we explore the perspectives on cross-domain visual analysis of CPS big data. We also highlight new challenges brought by the cross-domain nature of CPS big data—data, subject, and task domains—and propose a novel visual analytics model and a suite of approaches to address these challenges.

Keywords： 可视分析；三元空间；大数据；跨域    

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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: Traditional matrix-based approaches in the field of construct state transition matrices, and then use the powers of the state transition matrices to represent corresponding dynamic transition processes, which are cornerstones of system analysis. In this study, we propose a static matrix-based approach that revisits a finite state machine from its structure rather than its dynamic transition process, thus avoiding the "explosion of complexity" problem inherent in the existing approaches. Based on the static approach, we reexamine the issues of closed-loop detection and controllability for deterministic . In addition, we propose controllable equivalent form and minimal controllable equivalent form concepts and give corresponding algorithms.

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

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Probe into semi dryland agriculture limited supplemental irrigation model in the water deficit areas of North China

Li Yingneng

Strategic Study of CAE 2012, Volume 14, Issue 3,   Pages 41-45

Abstract:

According to precipitation use and irrigation degree, the research to the semi-dryland agriculture was conducted. The paper emphatically discussed the questions of implication related with the semi-dryland agriculture, expounded the significance of the water deficit areas of North China, and gave the semi-dryland agricultural limited supplemental irrigation technology mode. Bssed on the characteristics of the water deficit areas in North China, the model and tactics of developing semi-dryland agriculture limited supplemental irrigation in different type areas were put forward.

Keywords： semi-dryland     agriculture     limited supplemental irrigation     mode    

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Title Author Date Type Operation

Efficient construction of a substitution box based on a Mordell elliptic curve over a finite field

Naveed Ahmed Azam, Umar Hayat, Ikram Ullah,azam@amp.i.kyoto-u.ac.jp,umar.hayat@qau.edu.pk

Journal Article

On observability of Galois nonlinear feedback shift registers over finite fields

Zhe GAO, Jun´e FENG, Yongyuan YU, Yanjun CUI

Journal Article

The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Journal Article

Dual collaboration for decentralized multi-source domain adaptation

Yikang WEI, Yahong HAN

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Determination and Division of Radiative Color Gamut in Primary-Color Method for Temperature Measurement

Wang Anquan,Cheng Xiaofang,Lu Shaosong

Journal Article

Theoretical Study of Color Gamut of Higher Plant Leaves

Cheng Xiaofang,Dong Jinyi,Fan Xueliang,Ding Jinlei

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article

Slope Stability Analysis by Strength Reduction FEM

Zheng Yingren,Zhao Shangyi,Zhang Luyu

Journal Article

Coupled Thermo-Mechanical Simulation of Gear Preforming Based on Finite Deformation Theory

Ying Fuqiang,Pan Xiaoyong,Li Min

Journal Article

State space optimization of finite state machines from the viewpoint of control theory

Jumei Yue, Yongyi Yan, Zengqiang Chen, He Deng,yjm@mail.nankai.edu.cn,yyyan@mail.nankai.edu.cn

Journal Article

Study on Finite Element Method for Calculation of Stress on External Ring of One-way Clutch

Luo Yixin,Wu Bo

Journal Article

Perspectives on cross-domain visual analysis of cyber-physical-social big data

Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang,cloudseawang@gmail.com

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

Probe into semi dryland agriculture limited supplemental irrigation model in the water deficit areas of North China

Li Yingneng

Journal Article