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| 1 | Learning-based lensless imaging through optically thick scattering media显示文摘The problem of imaging through thick scattering media is encountered in many disciplines of science,ranging from mesoscopic physics to astronomy.Photons become diffusive after propagating through a scattering medium with an optical thickness of over 10 times the scattering mean free path.As a result,no image but only noise-like patterns can be directly formed.We propose a hybrid neural network for computational imaging through such thick scattering media,demonstrating the reconstruction of image information from various targets hidden behind a white polystyrene slab of 3 mm in thickness or 13.4 times the scattering mean free path.We also demonstrate that the target image can be retrieved with acceptable quality from a very small fraction of its scattered pattern,suggesting that the speckle pattern produced in this way is highly redundant.This leads to a profound question of how the information of the target being encoded into the speckle is to be addressed in future studies. | Meng Lyu Hao Wang Guowei Li Shanshan Zheng Guohai Situ | 2019 | Advanced Photonics2019，1，3： | 28 |
| 2 | Numerical simulation of the influences of sinker weight on the deformation and load of net of gravity sea cage in uniform flow显示文摘A numerical model for determining fishing net configuration and load is developed, based on the lumped masses method. The model is used to analyze the influences on the net of gravity sea cage by different sinker weights in uniform flow. The net of gravity sea cage is simulated under different current velocities and sinker weights. In order to verify the validity of the numerical results, model test results made by Lader and Enerhaug are cited and compared with the numerical ones. The results of numerical simulation agree well with the experimental ones and the agreement is within an error range of 13% under different velocities and sinker weights. The numerical results indicate that increasing the sinker weight can effectively reduce the net deformation, but the total drag force on the net will increase accordingly. Results will give references for better knowledge of the hydrodynamic behavior of gravity sea cage. | LI Yucheng ZHAO Yunpeng GUI Fukun TENG Bin DONG Guohai | 2006 | Acta Oceanologica Sinica2006，25，3： | 16 |
| 3 | Optimality analysis of one-step OOSM filtering algorithms in target tracking显示文摘In centralized multisensor tracking systems, there are out-of-sequence measurements (OOSMs) frequently arising due to different time delays in communication links and varying pre-processing times at the sensor. Such OOSM arrival can induce the “negative-time measurement update” problem, which is quite common in real multisensor tracking systems. The A1 optimal update algorithm with OOSM is presented by Bar-Shalom for one-step case. However, this paper proves that the optimality of A1 algorithm is lost in direct discrete-time model (DDM) of the process noise, it holds true only in discretized continuous-time model (DCM). One better OOSM filtering algorithm for DDM case is presented. Also, another new optimal OOSM filtering algorithm, which is independent of the discrete time model of the process noise, is presented here. The performance of the two new algorithms is compared with that of A1 algorithm by Monte Carlo simulations. The effectiveness and correctness of the two proposed algorithms are validated by analysis and simulation results. | ZHOU WenHui LI Lin CHEN GuoHai YU AnXi | 2007 | Science in China(Series F)2007，50，2： | 12 |
| 4 | Dynamic soft sensor development based on Gaussian mixture regression for fermentation processes显示文摘The dynamic soft sensor based on a single Gaussian process regression(GPR) model has been developed in fermentation processes.However,limitations of single regression models,for multiphase/multimode fermentation processes,may result in large prediction errors and complexity of the soft sensor.Therefore,a dynamic soft sensor based on Gaussian mixture regression(GMR) was proposed to overcome the problems.Two structure parameters,the number of Gaussian components and the order of the model,are crucial to the soft sensor model.To achieve a simple and effective soft sensor,an iterative strategy was proposed to optimize the two structure parameters synchronously.For the aim of comparisons,the proposed dynamic GMR soft sensor and the existing dynamic GPR soft sensor were both investigated to estimate biomass concentration in a Penicillin simulation process and an industrial Erythromycin fermentation process.Results show that the proposed dynamic GMR soft sensor has higher prediction accuracy and is more suitable for dynamic multiphase/multimode fermentation processes. | Congli Mei Yong Su Guohai Liu Yuhan Ding Zhiling Liao | 2017 | Chinese Journal of Chemical Engineering2017，25，1： | 8 |
| 5 | Wave Breaking Phenomena of Irregular Waves Combined with Opposing Current显示文摘- Experimental study and theoretical analysis show that the critical value of relative wave height (H/ d)b given by Goda and the critical wave steepness (H/ L)b given by Michell and Miche can be adopted as the spilling breaking indices of regular waves. According to the same principle, a systematic theoretical analysis and experiment of irregular waves have been done by the authors in order to solve the breaking problem of irregular waves. It is indicated that the authors’ method for determining wave breaking of regular waves can also be used for irregular waves. | Li, Yucheng Dong, Guohai | 1993 | China Ocean Engineering1993，8，2： | 7 |
| 6 | Deep-learning-based ciphertext-only attack on optical double random phase encryption显示文摘Optical cryptanalysis is essential to the further investigation of more secure optical cryptosystems.Learning-based at-tack of optical encryption eliminates the need for the retrieval of random phase keys of optical encryption systems but it is limited for practical applications since it requires a large set of plaintext-ciphertext pairs for the cryptosystem to be at-tacked.Here,we propose a two-step deep learning strategy for ciphertext-only attack(COA)on the classical double ran-dom phase encryption(DRPE).Specifically,we construct a virtual DRPE system to gather the training data.Besides,we divide the inverse problem in COA into two more specific inverse problems and employ two deep neural networks(DNNs)to respectively learn the removal of speckle noise in the autocorrelation domain and the de-correlation operation to retrieve the plaintext image.With these two trained DNNs at hand,we show that the plaintext can be predicted in real-time from an unknown ciphertext alone.The proposed learning-based COA method dispenses with not only the retrieval of random phase keys but also the invasive data acquisition of plaintext-ciphertext pairs in the DPRE system.Numerical simulations and optical experiments demonstrate the feasibility and effectiveness of the proposed learning-based COA method. | Meihua Liao Shanshan Zheng Shuixin Pan Dajiang Lu Wenqi He Guohai Situ Xiang Peng | 2021 | Opto-Electronic Advances2021，4，5： | 7 |
| 7 | Far-field super-resolution ghost imaging with a deep neural network constraint显示文摘Ghost imaging(GI)facilitates image acquisition under low-light conditions by single-pixel measurements and thus has great potential in applications in various fields ranging from biomedical imaging to remote sensing.However,GI usually requires a large amount of single-pixel samplings in order to reconstruct a high-resolution image,imposing a practical limit for its applications.Here we propose a far-field super-resolution GI technique that incorporates the physical model for GI image formation into a deep neural network.The resulting hybrid neural network does not need to pre-train on any dataset,and allows the reconstruction of a far-field image with the resolution beyond the diffraction limit.Furthermore,the physical model imposes a constraint to the network output,making it effectively interpretable.We experimentally demonstrate the proposed GI technique by imaging a flying drone,and show that it outperforms some other widespread GI techniques in terms of both spatial resolution and sampling ratio.We believe that this study provides a new framework for GI,and paves a way for its practical applications. | Fei Wang Chenglong Wang Mingliang Chen Wenlin Gong Yu Zhang Shensheng Han Guohai Situ | 2022 | Light(Science & Applications)2022，11，1： | 6 |
| 8 | Shape-Controlled Synthesis of Octahedral α-NaYF_(4) and Its Rare Earth Doped Submicrometer Particles in Acetic Acid显示文摘Submicrometer sized pure cubic phase,Eu^(3+)doped,and Yb^(3+)/Er^(3+)co-dopedα-NaYF4 particles with octahedral morphology have been prepared in acetic acid.The acetate anion plays a critical role in the formation of such symmetric octahedral structures through its selective adsorption on the(111)faces of the products.The size of the as-prepared octahedra can be tuned by varying the amount of sodium acetate added to the acetic acid.A possible formation mechanism for these octahedra has been proposed.The dopedα-NaYF_(4) octahedral submicrometer particles show down-conversion and up-conversion photoluminescence typical of these materials. | Li Gao Xin Ge Zhanli Chai Guohai Xu Xin Wang Cheng Wang | 2009 | Nano Research2009，2，7： | 6 |
| 9 | The force of oblique incident wave on the breakwater with a partially perforated wall显示文摘Wave forces induced by the interaction between the oblique incident wave and the breakwater with a partially perforated front wall isinvestigated. The fluid domain is divided into two sub-domains and the eigen-function expansion method is applied to expanding ve-locity potentials in each domain. In the eigen-expansion of the velocity potential, evanescent waves are included. Numerical results ofthe present model are compared with other theories and a good agreement can be found between them. Experimental data have beencompared with the present theoretical results. The effect of the traverse wall on wave forces has been discussed in detail. On the basisof the linear wave theory, it is shown that in the range of engineering practice, the incident angle of wave has small influence on waveforces on the unit length of perforated caisson. | LI Yucheng LIU Hongjie DONG Guohai | 2005 | Acta Oceanologica Sinica2005，24，4： | 6 |
| 10 | Numerical study of transient nonlinear harbor resonance显示文摘It is generally accepted that nonlinear wave-wave interactions play an important role in harbor resonance. Nevertheless it is not clear how waves take part in those interactions. The aim of this paper is to investigate those processes for a rectangular harbor at transient phases. Long-period oscillations excited by bichromatic waves are simulated by the Boussinesq model. The simulations start from calm conditions for the purpose of studying the response process. The internal wavemaker stops working after the oscillations have reached a quasi-steady state, and it is used to simulate the damp process. In order to analyze temporary features of wave-wave interactions in different states, the wavelet-based bispectrum is employed. The influence of the short wave frequencies on long-period oscillations is investigated, and reasons are tried to be given from nonlinear triad interactions between different wave components and the interaction of short waves and the bay entrance. Finally, the response time and the damp time are estimated by a simple method. | DONG GuoHai, WANG Gang, MA XiaoZhou & MA YuXiang State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China | 2010 | Science China(Technological Sciences)2010，53，2： | 6 |
| 11 | Incoherent imaging through highly nonstatic and optically thick turbid media based on neural network显示文摘Imaging through nonstatic scattering media is one of the major challenges in optics, and encountered in imaging through dense fog, turbid water, and many other situations. Here, we propose a method to achieve single-shot incoherent imaging through highly nonstatic and optically thick turbid media by using an end-to-end deep neural network. In this study, we use fat emulsion suspensions in a glass tank as a turbid medium and an additional incoherent light to introduce strong interference noise. We calibrate that the optical thickness of the tank of turbid media is as high as 16, and the signal-to-interference ratio is as low as -17 dB. Experimental results show that the proposed learning-based approach can reconstruct the object image with high fidelity in this severe environment. | SHANSHAN ZHENG HAO WANG SHI DONG FEI WANG GUOHAI SITU | 2021 | Photonics Research2021，9，5： | 5 |
| 12 | On symplectic self-adjointness of Hamiltonian operator matrices显示文摘Symplectic self-adjointness of Hamiltonian operator matrices is studied, which is important to symplectic elasticity and optimal control. For the cases of diagonal domain and off-diagonal domain, necessary and sufficient conditions are shown. The proofs use Frobenius-Schur factorizations of unbounded operator matrices.Under additional assumptions, sufficient conditions based on perturbation method are obtained. The theory is applied to a problem in symplectic elasticity. | CHEN Alatancang JIN GuoHai WU DeYu | 2015 | Science China Mathematics2015，58，4： | 5 |
| 13 | Improved root zone temperature buffer capacity enhancing sweet pepper yield via soil-ridged substrate-embedded cultivation in solar greenhouse显示文摘A novel soilless cultivation method,called as soil-ridged substrate-embedded cultivation(SSC)was invented,and an experiment was designed to investigate root zone temperature and production efficiency of sweet pepper cultivated by two SSC patterns,i.e.,SSC-P(polyethylene groove inserted)and SSC-W(wire-mesh groove inserted),and also other two cultivation methods,i.e.,soil ridge(SR)and naked polyethylene groove(PG).Results showed that PG,SSC-P and SSC-W increased the average minimal root zone temperature by 1.01℃,0.75℃,and 1.16℃ compared to SR(16.33℃)during March 16-20,2015.During June 1-5,SSC-P and SSC-W decreased the average maximal root zone temperature by 1.28℃ and 1.29℃ compared to SR(34.99℃),while PG increased it by 1.44℃.PG,SSC-P,and SSC-W decreased the differences of average daytime and night time temperatures by 1.34℃,2.13℃,and 2.88℃ compared to SR(4.56℃)during early stage.However,SSC-P and SSC-W decreased temperature differences of average daytime and night time by 0.9℃ and 1.07℃ compared to SR(0.95℃)during later stage,but PG improved by 2.85℃.Temperature difference of daytime and night time of SSC-W was minimal,and the temperature difference between the diurnal highest and the lowest temperature of SSC-W was also minimal.The buffer capacity of SSC-W was slightly better than that of SSC-P.SSC-W significantly improved the growth of sweet pepper compared to SR.Similarly,fruit yield per square meter of sweet pepper cultivated on SSC-P and SSC-W improved by 21.24%and 50.33%,respectively compared to SR(3.06 kg/m^(2)),while PG lowered the yield by 13.72%.SSC-W was a better SSC pattern compared with SSC-P in terms of production efficiency. | Guohai Fu Zonggeng Li Wenke Liu Qichang Yang | 2018 | International Journal of Agricultural and Biological Engineering2018，11，2： | 4 |
| 14 | Adiponectin attenuates lipopolysaccharide-induced cell injury of H9c2 cells by regulating AMPK pathway显示文摘Adiponectin,an adipokine synthesized and secreted majorly by adipose tissue,is reported to exert cardioprotective properties via anti-inflammation and antiapoptosis.Lipopolysaccharide(LPS)is a common inflammation and apoptosis inducer of cardiomyocytes.However,few studies have reported the roles of adiponectin on LPS-induced inflammation as well as apoptosis of H9c2 cells,and the possible mechanisms of these effects.In the present study,we found that adiponectin significantly relieved LPS-induced cytotoxicity including decreased viability and elevated LDH release,inhibited LPS-triggered inflammation,which is evidenced by increases in release of TNF-α,IL-1β as well as IL-6,and attenuated the enhanced rates of apoptotic cells as well as increased caspase-3 activity caused by LPS in H9c2 cells.In addition,our data demonstrated that adiponectin upregulated AMP-activated protein kinase(AMPK)activation of H9c2 cells with or without LPS administration.Moreover,we found that blocking AMPK pathway by compound c attenuated the protective effects of adiponectin against the cytotoxicity,inflammatory response,and apoptosis of H9c2 cells resulted from LPS.Our observations bring novel insights for understanding the mediatory role of AMPK pathway implicated in the protective effects of adiponectin against LPS-induced cardiotoxicity. | Rui Hao Guoying Su Xiaolin Sun Xiangran Kong Cuiying Zhu Guohai Su | 2019 | Acta Biochimica et Biophysica Sinica2019，51，2： | 4 |
| 15 | Polarization multiplexing for double images display显示文摘Metasurface provides subwavelength structures for manipulating wavefronts of light. The benefits of subwavelength components offer a continuous modulation of amplitude, phase, and polarization, thus eliminating the production of higher-order images and improving the utilization of light intensity. Despite the rapid progress in this field, multiparameter control of light using single layer metasurface is rarely reported. In fact, multiparameter control of light helps to improve information storage capacity and image fidelity. With simultaneous manipulation of polarization and amplitude at each pixel, it is possible to encode two separate images into one metasurface and reconstruct them under proper conditions. In a proof of concept experiment, we demonstrate an independent display of two binary images at the same position with polarization de-multiplexing from a single metasurface. This unique technology of encoding two images through amplitude and polarization manipulation provides a new opportunity for various applications in, such as encryption, information storage, polarization holograms, optical communications and fundamental physics. | Jinying Guo Teng Wang Baogang Quan Huan Zhao Changzhi Gu Junjie Li Xinke Wang Guohai Situ Yan Zhang | 2019 | Opto-Electronic Advances2019，2，7： | 4 |
| 16 | Phase imaging with an untrained neural network显示文摘Most of the neural networks proposed so far for computational imaging(CI)in optics employ a supervised training strategy,and thus need a large training set to optimize their weights and biases.Setting aside the requirements of environmental and system stability during many hours of data acquisition,in many practical applications,it is unlikely to be possible to obtain sufficient numbers of ground-truth images for training.Here,we propose to overcome this limitation by incorporating into a conventional deep neural network a complete physical model that represents the process of image formation.The most significant advantage of the resulting physics-enhanced deep neural network(PhysenNet)is that it can be used without training beforehand,thus eliminating the need for tens of thousands of labeled data.We take single-beam phase imaging as an example for demonstration.We experimentally show that one needs only to feed PhysenNet a single diffraction pattern of a phase object,and it can automatically optimize the network and eventually produce the object phase through the interplay between the neural network and the physical model.This opens up a new paradigm of neural network design,in which the concept of incorporating a physical model into a neural network can be generalized to solve many other CI problems. | Fei Wang Yaoming Bian Haichao Wang Meng Lyu Giancarlo Pedrini Wolfgang Osten George Barbastathis Guohai Situ | 2020 | Light(Science & Applications)2020，9，1： | 3 |
| 17 | Numerical modeling of surf beat generated by moving breakpoint显示文摘As an important hydrodynamic phenomenon in the nearshore zone, the cross-shore surf beat is numerically studied in this paper with a fully nonlinear Boussinesq-type model, which resolves the primary wave motion as well as the long waves. Compared with the classical Boussinesq equations, the equations adopted here allow for improved linear dispersion characteristics. Wave breaking and run-up in the swash zone are included in the numerical model. Mutual interactions between short waves and long waves are inherent in the model. The numerical study of long waves is based on bichromatic wave groups with a wide range of mean frequencies, group frequencies and modulation rates. The cross-shore variation in the amplitudes of short waves and long waves is investigated. The model results are compared with laboratory experiments from the literature and good agreement is found. | DONG GuoHai MA XiaoZhou TENG Bin | 2009 | Science China(Technological Sciences)2009，52，2： | 2 |
| 18 | Multi-objective Optimization Design of Inset-surface Permanent Magnet Machine Considering Deterministic and Robust Performances显示文摘The inset-surface permanent magnet(ISPM)machine can achieve the desired electromagnetic performance according to the traditional deterministic design.However,the reliability and quality of the machine may be affected by the essential manufacturing tolerances and unavoidable noise factors in mass production.To address this weakness,a comprehensive multi-objective optimization design method is proposed,in which robust optimization is performed after the deterministic design.The response surface method is first adopted to establish the optimization objective equation.Afterward,the sample points are obtained via Monte Carlo simulation considering the design-variable uncertainty.The Design for Six Sigma approach is adopted to ensure the robustness of the design model.Furthermore,the barebones multi-objective particle swarm optimization algorithm is used to obtain a compromise solution.A prototype is manufactured to evaluate the effectiveness of the proposed method.According to the finite-element analysis and experimental tests,the electromagnetic performance and reliability of the machine are significantly enhanced with the proposed method. | Gaohong Xu Zexin Jia Wenxiang Zhao Qian Chen Guohai Liu | 2021 | Chinese Journal of Electrical Engineering2021，7，3： | 2 |
| 19 | Genomic and transcriptomic analysis unveils population evolution and development of pesticide resistance in fall armyworm Spodoptera frugiperda显示文摘The fall armyworm(FAW),Spodoptera frugiperda,is a destructive pest native to America and has recently become an invasive insect pest in China.Because of its rapid spread and great risks in China,understanding of FAW genetic background and pesticide resistance is urgent and essential to develop effective management strategies.Here,we assembled a chromosome-level genome of a male FAW(SFynMstLFR)and compared re-sequencing results of the populations from America,Africa,and China.Strain identification of 163 individuals collected from America,Africa and China showed that both C and R strains were found in the American pop-ulations,while only C strain was found in the Chinese and African populations.Moreover,population geno-mics analysis showed that populations from Africa and China have close relationship with significantly genetic differentiation from American populations.Taken toge-ther,FAWs invaded into China were most likely origi-nated from Africa.Comparative genomics analysis displayed that the cytochrome p450 gene family is extremely expanded to 425 members in FAW,of which 283 genes are specific to FAW.Treatments of Chinese populations with twenty-three pesticides showed the variant patterns of transcriptome profiles,and several detoxification genes such as AOX,UGT and GST spe-cially responded to the pesticides.These findings will be useful in developing effective strategies for manage-ment of FAW in China and other invaded areas. | Furong Gui Tianming Lan Yue Zhao Wei Guo Yang Dong Dongming Fang Huan Liu Haimeng Li Hongli Wang Ruoshi Hao Xiaofang Cheng Yahong Li Pengcheng Yang Sunil Kumar Sahu Yaping Chen Le Cheng Shuqi He Ping Liu Guangyi Fan Haorong Lu Guohai Hu Wei Dong Bin Chen Yuan Jiang Yongwei Zhang Hanhong Xu Fei Lin Bernard Slippers Alisa Postma Matthew Jackson Birhan Addisie Abate Kassahun Tesfaye Aschalew Lemma Demie Meseret Destaw Bayeleygne Dawit Tesfaye Degefu Feng Chen Paul K.Kuria Zachary M.Kinyua Tong-Xian Liu Huanming Yang Fangneng Huang Xin Liu Jun Sheng Le Kang | 2022 | Protein & Cell2022，13，7： | 2 |
| 20 | Single-pixel imaging using physics enhanced deep learning显示文摘Single-pixel imaging(SPI) is a typical computational imaging modality that allows two-and three-dimensional image reconstruction from a one-dimensional bucket signal acquired under structured illumination.It is in particular of interest for imaging under low light conditions and in spectral regions where good cameras are unavailable.However,the resolution of the reconstructed image in SPI is strongly dependent on the number of measurements in the temporal domain.Data-driven deep learning has been proposed for high-quality image reconstruction from a undersampled bucket signal.But the generalization issue prohibits its practical application.Here we propose a physics-enhanced deep learning approach for SPI.By blending a physics-informed layer and a model-driven fine-tuning process,we show that the proposed approach is generalizable for image reconstruction.We implement the proposed method in an in-house SPI system and an outdoor single-pixel LiDAR system,and demonstrate that it outperforms some other widespread SPI algorithms in terms of both robustness and fidelity.The proposed method establishes a bridge between data-driven and model-driven algorithms,allowing one to impose both data and physics priors for inverse problem solvers in computational imaging,ranging from remote sensing to microscopy. | FEI WANG CHENGLONG WANG CHENJIN DENG SHENSHENG HAN GUOHAI SITU | 2022 | Photonics Research2022，10，1： | 2 |
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