jie liu - Academia.edu (original) (raw)
Papers by jie liu
Applied Sciences
With the increasing integration of non-linear electronic loads, the diagnosis and classification ... more With the increasing integration of non-linear electronic loads, the diagnosis and classification of power quality are becoming crucial for power grid signal management. This paper presents a novel diagnosis strategy based on unsupervised learning, namely residual denoising convolutional auto-encoder (RDCA), which extracts features from the complex power quality disturbances (PQDs) automatically. Firstly, the time–frequency analysis is applied to isolate frequency domain information. Then, the RDCA with a weight residual structure is utilized to extract the useful features in the contaminated PQD data, where the performance is improved using the residual structure. A single-layer convolutional neural network (SCNN) with an added batch normalization layer is proposed to classify the features. Furthermore, combining with RDCA and SCNN, we further propose a classification framework to classify complex PQDs. To provide a reasonable interpretation of the RDCA, visual analysis is employed ...
Information, 2022
The majority of complex research problems can be formulated as optimization problems. Particle Sw... more The majority of complex research problems can be formulated as optimization problems. Particle Swarm Optimization (PSO) algorithm is very effective in solving optimization problems because of its robustness, simplicity, and global search capabilities. Since the computational cost of these problems is usually high, it has been necessary to develop optimization algorithms with parallelization. With the advent of big-data technology, such problems can be solved by distributed parallel computing. In previous related work, MapReduce (a programming model that implements a distributed parallel approach to processing and producing large datasets on a cluster) has been used to parallelize the PSO algorithm, but frequent file reads and writes make the execution time of MRPSO very long. We propose Apache Beam particle swarm optimization (BPSO), which uses Apache Beam parallel programming model. In the experiment, we compared BPSO and PSO based on MapReduce (MRPSO) on four benchmark functions b...
The human-in-the-loop approach for optimisation plays an important role in decision support. Howe... more The human-in-the-loop approach for optimisation plays an important role in decision support. However, the HCI aspects are often overlooked. This thesis looks into the HCI aspects through two case studies.
Remote Sensing, 2022
Remote sensing of land surface mostly obtains a mixture of spectral information of soil and veget... more Remote sensing of land surface mostly obtains a mixture of spectral information of soil and vegetation. It is thus of great value if soil and vegetation information can be acquired simultaneously from one model. In this study, we designed a laboratory experiment to simulate land surface compositions, including various soil types with varying soil moisture and vegetation coverage. A model of a one-dimensional convolutional neural network (1DCNN) was established to simultaneously estimate soil properties (organic matter, soil moisture, clay, and sand) and vegetation coverage based on the hyperspectral data measured in the experiment. The results showed that the model achieved excellent predictions for soil properties (R2 = 0.88–0.91, RPIQ = 4.01–5.78) and vegetation coverage (R2 = 0.95, RPIQ = 7.75). Compared with the partial least squares regression (PLSR), the prediction accuracy of 1DCNN improved 42.20%, 45.82%, 43.32%, and 36.46% in terms of the root-mean-squared error (RMSE) for ...
Proceedings of the ACM International Conference on Supercomputing, 2021
Molecular dynamics (MD) simulation is a fundamental method for modeling ensembles of particles. I... more Molecular dynamics (MD) simulation is a fundamental method for modeling ensembles of particles. In this paper, we introduce a new method to improve the performance of MD by leveraging the emerging TB-scale big memory system. In particular, we trade memory capacity for computation capability to improve MD performance by the lookup table-based memoization technique. The traditional memoization technique for the MD simulation uses relatively small DRAM, bases on a suboptimal data structure, and replaces pair-wise computation, which leads to limited performance benefit in the big memory system. We introduce MD-HM, a memoization-based MD simulation framework customized for the big memory system. MD-HM partitions the simulation field into subgrids, and replaces computation in each subgrid as a whole based on a lightweight patternmatch algorithm to recognize computation in the subgrid. MD-HM uses a new two-phase LSM-tree to optimize read/write performance. Evaluating with nine MD simulations, we show that MD-HM outperforms the state-of-the-art LAMMPS simulation framework with an average speedup of 7.6× based on the Intel Optane-based big memory system.
Symmetry, 2021
The enhancement of the detection of weak signals against a strong noise background is a key probl... more The enhancement of the detection of weak signals against a strong noise background is a key problem in local gear fault diagnosis. Because the periodic impact signal generated by local gear damage is often modulated by high-frequency components, fault information is submerged in its envelope signal when demodulating the fault signal. However, the traditional bistable stochastic resonance (BSR) system cannot accurately match the asymmetric characteristics of the envelope signal because of its symmetrical potential well, which weakens the detection performance for weak faults. In order to overcome this problem, a novel method based on underdamped asymmetric periodic potential stochastic resonance (UAPPSR) is proposed to enhance the weak feature extraction of the local gear damage. The main advantage of this method is that it can better match the characteristics of the envelope signal by using the asymmetry of its potential well in the UAPPSR system and it can effectively enhance the e...
Scientia Horticulturae, 2022
Business Administration and Management, 2020
Under the background of the new era, to develop steadily for a long time, enterprises should pay ... more Under the background of the new era, to develop steadily for a long time, enterprises should pay attention to industrial and commercial management in internal management, formulate relatively perfect management system, improve the quality and efficiency of management by mobilizing the enthusiasm of employees, and promote the healthy and safe development of enterprises.
Frontiers of Engineering Management, 2017
Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering, 2015
![Research paper thumbnail of Correction: Unprecedented formation of 3-(tetrahydrofuran-2-yl)-4H-chromen-4-one in a reaction between 3,3a-dihydro-9H-furo[3,4-b]chromen-9-one and malononitrile](https://attachments.academia-assets.com/84802675/thumbnails/1.jpg)
](Organic & biomolecular chemistry, Jan 15, 2017
Correction for 'Unprecedented formation of 3-(tetrahydrofuran-2-yl)-4H-chromen-4-one in a rea... more Correction for 'Unprecedented formation of 3-(tetrahydrofuran-2-yl)-4H-chromen-4-one in a reaction between 3,3a-dihydro-9H-furo[3,4-b]chromen-9-one and malononitrile' by Jie-Jie Liu, et al., Org. Biomol. Chem., 2017, DOI: 10.1039/c7ob00904f.
Proceedings of the 3rd International Conference of Control, Dynamic Systems, and Robotics (CDSR'16), 2016
Many physical systems are nonlinear and non-Gaussian in their state-space models. Particle Filter... more Many physical systems are nonlinear and non-Gaussian in their state-space models. Particle Filter (PF) is a sequential Monte Carlo method that uses sets of sample scenarios, i.e. "particles" to represent probability densities, and it can be applied for state estimation in nonlinear/non-Gaussian state-spaces models. Conventional variants of PF do not assume any noise for the system input, while the corresponding measurement models disregard the system input as an argument. In reality, physical systems receive inputs contaminated with the measurement noise. In this work, a generalized particle filter algorithm is developed that handles the noisy input of the state-space model in a probabilistic framework. Three advanced variants of PF are then developed to improve the filtering accuracy. Performance of the developed filters are then verified with simulation of univariate and bivariate non-stationary growth models as benchmarks.
IET International Radar Conference 2015, 2015
This paper analyzes the various sources of the errors in the full link of the SAR satellite, and ... more This paper analyzes the various sources of the errors in the full link of the SAR satellite, and also studies the methods of the integrated error compensation for SAR. These methods mainly include the method based on the control unit, the method based on the measured data and the method based on the SAR echo data. This is an important reference for the high precision SAR imaging and data processing.
Chinese Optics Letters, 2014
2006 Semantics, Knowledge and Grid, Second International Conference on, 2006
This paper proposes a novel Chinese customer address clustering algorithm by considering both the... more This paper proposes a novel Chinese customer address clustering algorithm by considering both the customers' postal code and the text clustering technique. Based on thousands of student hometown addresses in a university, an experiment is done and analyzed. The results show that the algorithm presents in this paper has the advantages of high effectiveness of computation and good clustering ability when comparing with the Standard K-means algorithm.
Respiratory research, Jan 11, 2009
Sildenafil, a potent phosphodiesterase type 5 (PDE5) inhibitor, has been proposed as a treatment ... more Sildenafil, a potent phosphodiesterase type 5 (PDE5) inhibitor, has been proposed as a treatment for pulmonary arterial hypertension (PAH). The mechanism of its anti-proliferative effect on pulmonary artery smooth muscle cells (PASMC) is unclear. Nuclear translocation of nuclear factor of activated T-cells (NFAT) is thought to be involved in PASMC proliferation and PAH. Increase in cytosolic free [Ca2+] ([Ca2+]i) is a prerequisite for NFAT nuclear translocation. Elevated [Ca2+]i in PASMC of PAH patients has been demonstrated through up-regulation of store-operated Ca2+ channels (SOC) which is encoded by the transient receptor potential (TRP) channel protein. Thus we investigated if: 1) up-regulation of TRPC1 channel expression which induces enhancement of SOC-mediated Ca2+ influx and increase in [Ca2+]i is involved in hypoxia-induced PASMC proliferation; 2) hypoxia-induced promotion of [Ca2+]i leads to nuclear translocation of NFAT and regulates PASMC proliferation and TRPC1 express...
Clinical Pharmacology and Therapeutics, 2004
St John&a... more St John's wort, an extract of the medicinal plant Hypericum perforatum, is widely used as an herbal antidepressant. Although the ability of St John's wort to induce cytochrome P450 (CYP) 3A4-mediated reaction has been well established, the effect on CYP2C19 is still not determined. Thus the objective of this study was to determine the impact of St John's wort on the pharmacokinetic profiles of omeprazole and its metabolites. Twelve healthy adult men (6 CYP2C19*1/CYP2C19*1, 4 CYP2C19*2/CYP2C19*2 and 2 CYP2C19*2/CYP2C19*3) were enrolled in a 2-phase randomized crossover design. In each phase the volunteers received placebo or a 300-mg St John's wort tablet 3 times daily for 14 days. Then all subjects took a 20-mg omeprazole capsule orally. Blood samples were collected up to 12 hours after omeprazole administration. Omeprazole and its metabolites were quantified by use of HPLC with ultraviolet detection. Omeprazole and its metabolites all exhibit CYP2C19 genotype-dependent pharmacokinetic profiles. After a 14-day treatment with St…
IEEE Symposium on Ultrasonics, 2003
We investigated mage quality features of a regularized optical flow (ROF) algorithm for strain im... more We investigated mage quality features of a regularized optical flow (ROF) algorithm for strain imaging - noise, contrast and spatial resolution. ROF image features were compared to those obtained using a standard multi-resolution cross-correlation (MRCC) algorithm under equivalent conditions. Comparisons were made quantitatively using resolution phantom data and qualitatively using in vivo breast and flow phantom data. With a small
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology - ACE '06, 2006
Journal of Zhejiang University SCIENCE A, 2006
In this paper, we present a simple thermal model of Vertical-Cavity Surface-Emitting Laser (VCSEL... more In this paper, we present a simple thermal model of Vertical-Cavity Surface-Emitting Laser (VCSEL) light-current (LI) characteristics based on the rate-equation. The model can be implemented in conventional SPICE-like circuit simulators, including HSPICE, and be used to simulate the key features of VCSEL. The results compare favorably with experimental data from a device reported in the literature. The simple empirical model is especially suitable for Computer Aided Design (CAD), and greatly simplifies the design of optical communication systems.
Applied Sciences
With the increasing integration of non-linear electronic loads, the diagnosis and classification ... more With the increasing integration of non-linear electronic loads, the diagnosis and classification of power quality are becoming crucial for power grid signal management. This paper presents a novel diagnosis strategy based on unsupervised learning, namely residual denoising convolutional auto-encoder (RDCA), which extracts features from the complex power quality disturbances (PQDs) automatically. Firstly, the time–frequency analysis is applied to isolate frequency domain information. Then, the RDCA with a weight residual structure is utilized to extract the useful features in the contaminated PQD data, where the performance is improved using the residual structure. A single-layer convolutional neural network (SCNN) with an added batch normalization layer is proposed to classify the features. Furthermore, combining with RDCA and SCNN, we further propose a classification framework to classify complex PQDs. To provide a reasonable interpretation of the RDCA, visual analysis is employed ...
Information, 2022
The majority of complex research problems can be formulated as optimization problems. Particle Sw... more The majority of complex research problems can be formulated as optimization problems. Particle Swarm Optimization (PSO) algorithm is very effective in solving optimization problems because of its robustness, simplicity, and global search capabilities. Since the computational cost of these problems is usually high, it has been necessary to develop optimization algorithms with parallelization. With the advent of big-data technology, such problems can be solved by distributed parallel computing. In previous related work, MapReduce (a programming model that implements a distributed parallel approach to processing and producing large datasets on a cluster) has been used to parallelize the PSO algorithm, but frequent file reads and writes make the execution time of MRPSO very long. We propose Apache Beam particle swarm optimization (BPSO), which uses Apache Beam parallel programming model. In the experiment, we compared BPSO and PSO based on MapReduce (MRPSO) on four benchmark functions b...
The human-in-the-loop approach for optimisation plays an important role in decision support. Howe... more The human-in-the-loop approach for optimisation plays an important role in decision support. However, the HCI aspects are often overlooked. This thesis looks into the HCI aspects through two case studies.
Remote Sensing, 2022
Remote sensing of land surface mostly obtains a mixture of spectral information of soil and veget... more Remote sensing of land surface mostly obtains a mixture of spectral information of soil and vegetation. It is thus of great value if soil and vegetation information can be acquired simultaneously from one model. In this study, we designed a laboratory experiment to simulate land surface compositions, including various soil types with varying soil moisture and vegetation coverage. A model of a one-dimensional convolutional neural network (1DCNN) was established to simultaneously estimate soil properties (organic matter, soil moisture, clay, and sand) and vegetation coverage based on the hyperspectral data measured in the experiment. The results showed that the model achieved excellent predictions for soil properties (R2 = 0.88–0.91, RPIQ = 4.01–5.78) and vegetation coverage (R2 = 0.95, RPIQ = 7.75). Compared with the partial least squares regression (PLSR), the prediction accuracy of 1DCNN improved 42.20%, 45.82%, 43.32%, and 36.46% in terms of the root-mean-squared error (RMSE) for ...
Proceedings of the ACM International Conference on Supercomputing, 2021
Molecular dynamics (MD) simulation is a fundamental method for modeling ensembles of particles. I... more Molecular dynamics (MD) simulation is a fundamental method for modeling ensembles of particles. In this paper, we introduce a new method to improve the performance of MD by leveraging the emerging TB-scale big memory system. In particular, we trade memory capacity for computation capability to improve MD performance by the lookup table-based memoization technique. The traditional memoization technique for the MD simulation uses relatively small DRAM, bases on a suboptimal data structure, and replaces pair-wise computation, which leads to limited performance benefit in the big memory system. We introduce MD-HM, a memoization-based MD simulation framework customized for the big memory system. MD-HM partitions the simulation field into subgrids, and replaces computation in each subgrid as a whole based on a lightweight patternmatch algorithm to recognize computation in the subgrid. MD-HM uses a new two-phase LSM-tree to optimize read/write performance. Evaluating with nine MD simulations, we show that MD-HM outperforms the state-of-the-art LAMMPS simulation framework with an average speedup of 7.6× based on the Intel Optane-based big memory system.
Symmetry, 2021
The enhancement of the detection of weak signals against a strong noise background is a key probl... more The enhancement of the detection of weak signals against a strong noise background is a key problem in local gear fault diagnosis. Because the periodic impact signal generated by local gear damage is often modulated by high-frequency components, fault information is submerged in its envelope signal when demodulating the fault signal. However, the traditional bistable stochastic resonance (BSR) system cannot accurately match the asymmetric characteristics of the envelope signal because of its symmetrical potential well, which weakens the detection performance for weak faults. In order to overcome this problem, a novel method based on underdamped asymmetric periodic potential stochastic resonance (UAPPSR) is proposed to enhance the weak feature extraction of the local gear damage. The main advantage of this method is that it can better match the characteristics of the envelope signal by using the asymmetry of its potential well in the UAPPSR system and it can effectively enhance the e...
Scientia Horticulturae, 2022
Business Administration and Management, 2020
Under the background of the new era, to develop steadily for a long time, enterprises should pay ... more Under the background of the new era, to develop steadily for a long time, enterprises should pay attention to industrial and commercial management in internal management, formulate relatively perfect management system, improve the quality and efficiency of management by mobilizing the enthusiasm of employees, and promote the healthy and safe development of enterprises.
Frontiers of Engineering Management, 2017
Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering, 2015
Organic & biomolecular chemistry, Jan 15, 2017
Correction for 'Unprecedented formation of 3-(tetrahydrofuran-2-yl)-4H-chromen-4-one in a rea... more Correction for 'Unprecedented formation of 3-(tetrahydrofuran-2-yl)-4H-chromen-4-one in a reaction between 3,3a-dihydro-9H-furo[3,4-b]chromen-9-one and malononitrile' by Jie-Jie Liu, et al., Org. Biomol. Chem., 2017, DOI: 10.1039/c7ob00904f.
Proceedings of the 3rd International Conference of Control, Dynamic Systems, and Robotics (CDSR'16), 2016
Many physical systems are nonlinear and non-Gaussian in their state-space models. Particle Filter... more Many physical systems are nonlinear and non-Gaussian in their state-space models. Particle Filter (PF) is a sequential Monte Carlo method that uses sets of sample scenarios, i.e. "particles" to represent probability densities, and it can be applied for state estimation in nonlinear/non-Gaussian state-spaces models. Conventional variants of PF do not assume any noise for the system input, while the corresponding measurement models disregard the system input as an argument. In reality, physical systems receive inputs contaminated with the measurement noise. In this work, a generalized particle filter algorithm is developed that handles the noisy input of the state-space model in a probabilistic framework. Three advanced variants of PF are then developed to improve the filtering accuracy. Performance of the developed filters are then verified with simulation of univariate and bivariate non-stationary growth models as benchmarks.
IET International Radar Conference 2015, 2015
This paper analyzes the various sources of the errors in the full link of the SAR satellite, and ... more This paper analyzes the various sources of the errors in the full link of the SAR satellite, and also studies the methods of the integrated error compensation for SAR. These methods mainly include the method based on the control unit, the method based on the measured data and the method based on the SAR echo data. This is an important reference for the high precision SAR imaging and data processing.
Chinese Optics Letters, 2014
2006 Semantics, Knowledge and Grid, Second International Conference on, 2006
This paper proposes a novel Chinese customer address clustering algorithm by considering both the... more This paper proposes a novel Chinese customer address clustering algorithm by considering both the customers' postal code and the text clustering technique. Based on thousands of student hometown addresses in a university, an experiment is done and analyzed. The results show that the algorithm presents in this paper has the advantages of high effectiveness of computation and good clustering ability when comparing with the Standard K-means algorithm.
Respiratory research, Jan 11, 2009
Sildenafil, a potent phosphodiesterase type 5 (PDE5) inhibitor, has been proposed as a treatment ... more Sildenafil, a potent phosphodiesterase type 5 (PDE5) inhibitor, has been proposed as a treatment for pulmonary arterial hypertension (PAH). The mechanism of its anti-proliferative effect on pulmonary artery smooth muscle cells (PASMC) is unclear. Nuclear translocation of nuclear factor of activated T-cells (NFAT) is thought to be involved in PASMC proliferation and PAH. Increase in cytosolic free [Ca2+] ([Ca2+]i) is a prerequisite for NFAT nuclear translocation. Elevated [Ca2+]i in PASMC of PAH patients has been demonstrated through up-regulation of store-operated Ca2+ channels (SOC) which is encoded by the transient receptor potential (TRP) channel protein. Thus we investigated if: 1) up-regulation of TRPC1 channel expression which induces enhancement of SOC-mediated Ca2+ influx and increase in [Ca2+]i is involved in hypoxia-induced PASMC proliferation; 2) hypoxia-induced promotion of [Ca2+]i leads to nuclear translocation of NFAT and regulates PASMC proliferation and TRPC1 express...
Clinical Pharmacology and Therapeutics, 2004
St John&a... more St John's wort, an extract of the medicinal plant Hypericum perforatum, is widely used as an herbal antidepressant. Although the ability of St John's wort to induce cytochrome P450 (CYP) 3A4-mediated reaction has been well established, the effect on CYP2C19 is still not determined. Thus the objective of this study was to determine the impact of St John's wort on the pharmacokinetic profiles of omeprazole and its metabolites. Twelve healthy adult men (6 CYP2C19*1/CYP2C19*1, 4 CYP2C19*2/CYP2C19*2 and 2 CYP2C19*2/CYP2C19*3) were enrolled in a 2-phase randomized crossover design. In each phase the volunteers received placebo or a 300-mg St John's wort tablet 3 times daily for 14 days. Then all subjects took a 20-mg omeprazole capsule orally. Blood samples were collected up to 12 hours after omeprazole administration. Omeprazole and its metabolites were quantified by use of HPLC with ultraviolet detection. Omeprazole and its metabolites all exhibit CYP2C19 genotype-dependent pharmacokinetic profiles. After a 14-day treatment with St…
IEEE Symposium on Ultrasonics, 2003
We investigated mage quality features of a regularized optical flow (ROF) algorithm for strain im... more We investigated mage quality features of a regularized optical flow (ROF) algorithm for strain imaging - noise, contrast and spatial resolution. ROF image features were compared to those obtained using a standard multi-resolution cross-correlation (MRCC) algorithm under equivalent conditions. Comparisons were made quantitatively using resolution phantom data and qualitatively using in vivo breast and flow phantom data. With a small
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology - ACE '06, 2006
Journal of Zhejiang University SCIENCE A, 2006
In this paper, we present a simple thermal model of Vertical-Cavity Surface-Emitting Laser (VCSEL... more In this paper, we present a simple thermal model of Vertical-Cavity Surface-Emitting Laser (VCSEL) light-current (LI) characteristics based on the rate-equation. The model can be implemented in conventional SPICE-like circuit simulators, including HSPICE, and be used to simulate the key features of VCSEL. The results compare favorably with experimental data from a device reported in the literature. The simple empirical model is especially suitable for Computer Aided Design (CAD), and greatly simplifies the design of optical communication systems.