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Differential evolution based computation intelligence solver for elliptic partial differential equations Research Article

Muhammad Faisal Fateh, Aneela Zameer, Sikander M. Mirza, Nasir M. Mirza, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja,muhammad.aslam@adelaide.edu.au

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1445-1456 doi: 10.1631/FITEE.1900221

Abstract: A based methodology is introduced for the solution of elliptic s (PDEs) with Dirichlet and/or Neumann boundary conditions. The solutions evolve over bounded domains throughout the interior nodes by minimization of nodal deviations among the population. The elliptic PDEs are replaced by the corresponding system of finite difference approximation, yielding an expression for nodal residues. The global residue is declared as the root-mean-square value of the nodal residues and taken as the cost function. The standard is then used for the solution of elliptic PDEs by conversion to a minimization problem of the global residue. A set of benchmark problems consisting of both linear and nonlinear elliptic PDEs has been considered for validation, proving the effectiveness of the proposed algorithm. To demonstrate its robustness, sensitivity analysis has been carried out for various operators and parameters. Comparison of the based computed nodal values with the corresponding data obtained using the exact analytical expressions shows the accuracy and convergence of the proposed methodology.

Keywords： 差分进化；边界值问题；偏微分方程；有限差分法；数值计算    

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A creative concept for designing and simulating quaternary logic gates in quantum-dot cellular automata Research Articles

Alireza Navidi, Reza Sabbaghi-Nadooshan, Massoud Dousti,alireza.navidi@srbiau.ac.ir,r_sabbaghi@iauctb.ac.ir,m_dousti@srbiau.ac.ir

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1441-1550 doi: 10.1631/FITEE.2000590

Abstract: New technologies such as have been showing some remarkable characteristics that standard complementary-metal-oxide semiconductor (CMOS) in deep sub-micron cannot afford. Modeling systems and designing multiple-valued logic gates with QCA have advantages that facilitate the design of complicated logic circuits. In this paper, we propose a novel creative concept for . The concept has been set in , the new simulator developed by our team exclusively for QCAs’ quaternary mode. Proposed basic gates such as MIN, MAX, and different types of inverters (SQI, PQI, NQI, and IQI) have been designed and verified by . This study will exemplify how fast and accurately works by its handy set of CAD tools. A 1×4 decoder is presented using our proposed main gates. Preference points such as the minimum delay, area, and complexity have been achieved in this work. QQCA main logic gates are compared with based on carbon nanotube field-effect transistor (CNFET). The results show that the proposed design is more efficient in terms of latency and energy consumption.

Keywords： 量子点细胞自动机（QCA）；四值逻辑；量子点细胞自动模拟器（QCASim）；四值QCA（QQCA）；四值译码器；四值门    

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract:

Recently, deep neural networks (DNNs) significantly outperform Gaussian mixture models in acoustic modeling for speech recognition. However, the substantial increase in computational load during the inference stage makes deep models difficult to directly deploy on low-power embedded devices. To alleviate this issue, structure sparseness and low precision fixed-point quantization have been applied widely. In this work, binary neural networks for speech recognition are developed to reduce the computational cost during the inference stage. A fast implementation of binary matrix multiplication is introduced. On modern central processing unit (CPU) and graphics processing unit (GPU) architectures, a 5–7 times speedup compared with full precision floatingpoint matrix multiplication can be achieved in real applications. Several kinds of binary neural networks and related model optimization algorithms are developed for large vocabulary continuous speech recognition acoustic modeling. In addition, to improve the accuracy of binary models, knowledge distillation from the normal full precision floating-point model to the compressed binary model is explored. Experiments on the standard Switchboard speech recognition task show that the proposed binary neural networks can deliver 3–4 times speedup over the normal full precision deep models. With the knowledge distillation from the normal floating-point models, the binary DNNs or binary convolutional neural networks (CNNs) can restrict the word error rate (WER) degradation to within 15.0%, compared to the normal full precision floating-point DNNs or CNNs, respectively. Particularly for the binary CNN with binarization only on the convolutional layers, the WER degradation is very small and is almost negligible with the proposed approach.

Keywords： Speech recognition     Binary neural networks     Binary matrix multiplication     Knowledge distillation     Population count    

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Stochastic Earned Duration Analysis for Project Schedule Management Review

Fernando Acebes,David Poza,José Manuel González-Varona,Adolfo López-Paredes

Engineering 2022, Volume 9, Issue 2,   Pages 148-162 doi: 10.1016/j.eng.2021.07.019

Abstract:

Earned duration management (EDM) is a methodology for project schedule management (PSM) that can be considered an alternative to earned value management (EVM). EDM provides an estimation of deviations in schedule and a final project duration estimation. There is a key difference between EDM and EVM: In EDM, the value of activities is expressed as work periods; whereas in EVM, value is expressed in terms of cost. In this paper, we present how EDM can be applied to monitor and control stochastic projects. To explain the methodology, we use a real case study with a project that presents a high level of uncertainty and activities with random durations. We analyze the usability of this approach according to the activities network topology and compare the EVM and earned schedule methodology (ESM) for PSM.

Keywords： Earned duration management     Earned value management     Stochastic project control     Duration forecasting     Uncertainty    

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The Optimal Control Model of Reservoir Operations andSolving With Maximum Principle

Fang Qiang,Wang Xianjia, Fang Debin

Strategic Study of CAE 2007, Volume 9, Issue 4,   Pages 55-59

Abstract:

This paper tries to describe the continuous transformation characteristic of reservoir operations with optimal control theory. After constructing the optimal control model of reservoir o perations, the paper presents the necessary condition of optimal control of reservoir operations using maximum principle and analyzes the characteristic and concrete expression of optimal control strategy of reservoir operations in different conditions and environment. At last, an analysis of a numerical example is presented and the results indicate the approach is valid.

Keywords： water conservancy management     optimal control model     maximum principle     reservoiroperations    

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Emergy evaluation of Cynoglossus semilaevis Günther in industrial recirculating aquaculture

Wang Feng and Lei Jilin

Strategic Study of CAE 2015, Volume 17, Issue 1,   Pages 4-10

Abstract:

In order to preferably evaluate breeding effect and environmental sustainability of recirculating aquaculture mode， the emergy flow chart of Cynoglossus semilaevis Günther in industrial recirculating aquaculture was built to analyze the emergy of different parts in the aquaculture mode. The results showed that： The environment emergy input occupied only 1.08 %， emergy yield ratio (EYR) was 2.433， emergy loading ratio (ELR) was 0.313 4， and emergy sustainable index (ESI) was 7.763， indicating that agricultural production was promoted to the level of industrialization with the use of this kind of aquaculture mode， which gains highly developed economic system and higher production efficiency； meanwhile， this kind of aquaculture mode greatly alleviates the pressure of environment and gains higher sustainability and carrying capacity.

Keywords： Cynoglossus semilaevis Günther     recirculating aquaculture     aquaculture mode     environmental sustainability     emergy    

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On-Line Supervisory Technology for Q-Factor in the Optical Supervisory Channel of Optical Transport Network

Tang Yong,Sun Xiaohan,Zhang Mingde,Ding Dong

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 71-75

Abstract:

In this paper, a hierarchical model of the optical transport network (OTN) with an optical supervisory channel (OSC) subsystem is discussed, and that the reliability of operation, administration and management (OAM) signals is rested with the quality of signals transported in OSC is indicated by analyzing the charac-teristics of signals in OSC. Basing on the one-to-one correspondence of Q-factor with bit-error-ratio (BER) in data communication systems, an on-line supervisory scheme for Q-factor of signals in OSC is presented, and the supervisory module by a digital signal processor (DSP) approach is designed to implement on-line supervision for Q-factor.

Keywords： optical transport network (OTN)     optical supervisory channel (OSC)     OAM     Q-factor supervision    

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A novel multiple-outlier-robust Kalman filter Research Articles

Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 422-437 doi: 10.1631/FITEE.2000642

Abstract: This paper presents a novel multiple-outlier-robust Kalman filter (MORKF) for linear stochastic discrete-time systems. A new is first proposed to evaluate the similarity between two random vectors from dimension to dimension. Then, the proposed MORKF is derived via maximizing a based cost function. The MORKF guarantees the convergence of iterations in mild conditions, and the boundedness of the approximation errors is analyzed theoretically. The selection strategy for the similarity function and comparisons with existing robust methods are presented. Simulation results show the advantages of the proposed filter.

Keywords： Kalman filtering     Multiple statistical similarity measure     Multiple outliers     Fixed-point iteration     State estimate    

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Interaction Effects Between Wave and Two Connected Floating Bodies

Gou Ying,Teng Bin,Ning Dezhi

Strategic Study of CAE 2004, Volume 6, Issue 7,   Pages 75-80

Abstract:

In this paper, boundary integral equation method is used to study the hydrodynamic interaction effects between wave and two connected floating structures. The hydrodynamic interaction between the two bodies is considered. The amplitudes of the body motions are determined according to the motion equations of the two bodies and the continuous conditions at the connection between the bodies. In order to verify this method, the heave amplitude at the hinged joint and the relative angular deflection of two floating barges, which connected by a hinge, are calculated and compared with the results from Newman. The comparison shows that the present calculation agrees well with Newman's result except at the nearby of the resonant frequency of the system. At the resonant frequency of the hinged system the present result changes quickly, but Newman did not mention the phenomenon.

Keywords： boundary integral method     hydrodynamic interaction effects     motion responses    

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Measurement of the normal fetal cardiovascular diameters by echocardiography during the second trimester in Ningxia

Ji Xueqin,Ding Lili,Suo Yaoyu,Shi Ruixian, Liu Yanxiang,Chen Yaoping

Strategic Study of CAE 2015, Volume 17, Issue 6,   Pages 77-81

Abstract:

To determine the normal range of the inner diameters of the anatomical structures in the fetal cardiovascular system during the second trimester in Ningxia and to investigate their variation with gestational age. Routine echocardiography was performed for 1 247 normal fetuses during the second trimester (22~28 weeks) to determine the inner diameters of the atrium, ventricle, foramen ovale, aorta, pulmonary artery, left/right pulmonary artery, aortic isthmus, descending aorta, and ductus arteriosus. Measurement data were grouped by gestational age, and the correlation between the measurement data and gestational age was investigated. The inner diameters of the fetal atria, ventricles, and great vessels increased with gestational age and were significantly associated with gestational age (P < 0.05). In Ningxia, determining the normal range of fetal cardiovascular diameters during the second trimester allows the evaluation of fetal cardiovascular system development and provides an important basis for the accurate identification of fetal congenital heart disease.

Keywords： fetal heart     ultrasound     normal range    

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A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation

Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 80-82

Abstract:

In this paper,  the Pareto strength SCE-UA algorithm (PSSCE) is presented to handle the reservoir optimization operation problem.  The approach treats the constrained optimization as a two-objective optimization: one objective is the original objective function; the other is the degree of constraint violation.  SCE-UA algorithm is applied to the two-objective optimization by using the individual's comparing procedure and the population ranking procedure which are respectively based on the Pareto dominance relationship and the Pareto strength definition.  The new approach is more general,  effective and robust.

Keywords： reservoir optimal operation     constrained optimization     Pareto dominate     Pareto strength     SCE-UA algorithm    

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High-payload completely reversible data hiding in encrypted images by an interpolation technique Article

Di XIAO, Ying WANG, Tao XIANG, Sen BAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1732-1743 doi: 10.1631/FITEE.1601067

Abstract: We present a new high-payload joint reversible data-hiding scheme for encrypted images. Instead of embedding data in the encrypted image directly, the content owner first uses an interpolation technique to estimate whether the location can be used for embedding and generates a location map before encryption. Next, the data hider embeds the additional data through flipping the most significant bits (MSBs) of the encrypted image according to the location map. At the receiver side, before extracting the additional data and reconstructing the image, the receiver decrypts the image first. Experimental results demonstrate that the proposed method can achieve real reversibility, which means data extraction and image recovery are free of error. Moreover, our scheme can embed more payloads than most existing reversible data hiding schemes in encrypted images.

Keywords： Encrypted image     Data hiding     Image recovery     Real reversibility     Interpolation    

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Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1239-1252 doi: 10.1631/FITEE.2200381

Abstract: In this paper, we address matrix-valued distributed stochastic optimization with inequality and equality constraints, where the objective function is a sum of multiple matrix-valued functions with stochastic variables and the considered problems are solved in a distributed manner. A penalty method is derived to deal with the constraints, and a selection principle is proposed for choosing feasible penalty functions and penalty gains. A distributed optimization algorithm based on the gossip model is developed for solving the stochastic optimization problem, and its convergence to the optimal solution is analyzed rigorously. Two numerical examples are given to demonstrate the viability of the main results.

Keywords： Distributed optimization     Matrix-valued optimization     Stochastic optimization     Penalty method     Gossip model    

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3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 103-107

Abstract:

Based on multi-source data, a fitting geological surface is required to achieve the balance among accuracy specification, continuity and storage. An approach of complex geological surface reconstruction which combines interpolation with approximation based on NURBS(non-uniform rational B-splines) technique is presented. The algorithm adopts the skinning method for densely and uniformly distributed data in the key region, and it ensures that all original data are on the built surface strictly. For the discrete data in the peripheral region, NURBS approximation fitting method is used to construct the corresponding surface, which approximates the data fully under the required accuracy. Finally, the integrated surface is analyzed and modified by checking the rationality of geological structure, geometry and accuracy. The instance shows that the approach can satisfy practical demands of engineering geologists and offer elements to further 3D geological modeling.

Keywords： geological surface     interpolation-approximation fitting     3D construction     multi-source geological data    

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Attribute reduction in interval-valued information systems based on information entropies Article

Jian-hua DAI,Hu HU,Guo-jie ZHENG,Qing-hua HU,Hui-feng HAN,Hong SHI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 919-928 doi: 10.1631/FITEE.1500447

Abstract: Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribute reduction is a key issue in analysis of interval-valued data. Existing attribute reduction methods for single-valued data are unsuitable for interval-valued data. So far, there have been few studies on attribute reduction methods for interval-valued data. In this paper, we propose a framework for attribute reduction in interval-valued data from the viewpoint of information theory. Some information theory concepts, including entropy, conditional entropy, and joint entropy, are given in interval-valued information systems. Based on these concepts, we provide an information theory view for attribute reduction in interval-valued information systems. Consequently, attribute reduction algorithms are proposed. Experiments show that the proposed framework is effective for attribute reduction in interval-valued information systems.

Keywords： Rough set theory     Interval-valued data     Attribute reduction     Entropy    

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Title Author Date Type Operation

Differential evolution based computation intelligence solver for elliptic partial differential equations

Muhammad Faisal Fateh, Aneela Zameer, Sikander M. Mirza, Nasir M. Mirza, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja,muhammad.aslam@adelaide.edu.au

Journal Article

A creative concept for designing and simulating quaternary logic gates in quantum-dot cellular automata

Alireza Navidi, Reza Sabbaghi-Nadooshan, Massoud Dousti,alireza.navidi@srbiau.ac.ir,r_sabbaghi@iauctb.ac.ir,m_dousti@srbiau.ac.ir

Journal Article

Binary neural networks for speech recognition

Yan-min QIAN, Xu XIANG

Journal Article

Stochastic Earned Duration Analysis for Project Schedule Management

Fernando Acebes,David Poza,José Manuel González-Varona,Adolfo López-Paredes

Journal Article

The Optimal Control Model of Reservoir Operations andSolving With Maximum Principle

Fang Qiang,Wang Xianjia, Fang Debin

Journal Article

Emergy evaluation of Cynoglossus semilaevis Günther in industrial recirculating aquaculture

Wang Feng and Lei Jilin

Journal Article

On-Line Supervisory Technology for Q-Factor in the Optical Supervisory Channel of Optical Transport Network

Tang Yong,Sun Xiaohan,Zhang Mingde,Ding Dong

Journal Article

A novel multiple-outlier-robust Kalman filter

Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn

Journal Article

Interaction Effects Between Wave and Two Connected Floating Bodies

Gou Ying,Teng Bin,Ning Dezhi

Journal Article

Measurement of the normal fetal cardiovascular diameters by echocardiography during the second trimester in Ningxia

Ji Xueqin,Ding Lili,Suo Yaoyu,Shi Ruixian, Liu Yanxiang,Chen Yaoping

Journal Article

A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation

Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu

Journal Article

High-payload completely reversible data hiding in encrypted images by an interpolation technique

Di XIAO, Ying WANG, Tao XIANG, Sen BAI

Journal Article

Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Journal Article

3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Journal Article

Attribute reduction in interval-valued information systems based on information entropies

Jian-hua DAI,Hu HU,Guo-jie ZHENG,Qing-hua HU,Hui-feng HAN,Hong SHI

Journal Article