Yang Gao | Newcastle University (original) (raw)

Papers by Yang Gao

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005

Molecular Biology Reports, 2010

DNMT3B is an important enzyme to modulate the methylation status in mammalian cells. The aim of t... more DNMT3B is an important enzyme to modulate the methylation status in mammalian cells. The aim of this study is to investigate the correlation of the DNMT3B G39179T polymorphism with the susceptibilities of colorectal adenomatous polyps and adenocarcinoma. This case-control study included 146 colorectal adenomatous polyps, 170 colorectal adenocarcinoma patients, and 157 normal controls. DNMT3B polymorphism was analyzed by polymerase chain

Naunyn-schmiedebergs Archives of Pharmacology, 2009

We demonstrated here that an initial treatment with aconitine- or barium-chloride-induced arrhyth... more We demonstrated here that an initial treatment with aconitine- or barium-chloride-induced arrhythmias and resulted in reduced susceptibility of the heart to the induction of arrhythmias by a repeated drug treatment 24 h after the initial one, a delayed preconditioning cardioprotection. This delayed preconditioning was accompanied by enhanced expression of cardiac muscarinic M3 receptor and abolished by M3-selective antagonist. We conclude that

Journal of The Optical Society of America B-optical Physics, 2010

There has been much recent interest in quantum optical interferometry for applications to metrolo... more There has been much recent interest in quantum optical interferometry for applications to metrology, sub-wavelength imaging, and remote sensing, such as in quantum laser radar (LADAR). For quantum LADAR, atmospheric absorption rapidly degrades any quantum state of light, so that for high-photon loss the optimal strategy is to transmit coherent states of light, which suffer no worse loss than the

Metastasis, the primary cause of death in most forms of cancer, is a multistep process whereby ce... more Metastasis, the primary cause of death in most forms of cancer, is a multistep process whereby cells from the primary tumor spread systemically and colonize distant new sites. Blocking critical steps in this process could potentially inhibit tumor metastasis and dramatically improve cancer survival rates; however, our understanding of metastasis at the molecular level is still rudimentary. Growth factor receptor

Lecture Notes in Computer Science, 2005

ABSTRACT For many web usage mining applications, it is crucial to compare navigation paths of dif... more ABSTRACT For many web usage mining applications, it is crucial to compare navigation paths of different users. This paper presents a reinforcement learning based method for mining the sequential usage patterns of user behaviors. In detail, the temporal data set about every user is constructed from the web log file, and then the navigation paths of the users are modelled using the extended Markov decision process. The proposed method could learn the dynamical sequential usage patterns on-line.

Lecture Notes in Computer Science, 2003

This paper concentrates on image aberrations due to platform trajectory deviation on squint SAR d... more This paper concentrates on image aberrations due to platform trajectory deviation on squint SAR data processing, by evaluating the disturbed SAR spectrum in terms of Doppler properties, and investigates the reason of image degradation with squint angle increasing in the presence of trajectory deviation. It is shown that certain range-walk removal strategy helps reduce squint SAR data sensitivity on motion error, and a new approach based on range-walk removal for spotlight SAR processing is proposed which can help minimize influence of trajectory deviation under varying Doppler parameters.

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

ABSTRACT The quality of Synthetic Aperture Radar image is affected by the deviation of radar plat... more ABSTRACT The quality of Synthetic Aperture Radar image is affected by the deviation of radar platforms from the nominal straight line which is usually measured based on hardware such as Inertial Measurement Unit and Global Position System with high accuracy. Because of limited budget, many SAR systems cannot carry those expensive equipments. Based on the 3-D Geometry model of the motion error analysis, a new method of aircraft motion error extraction from the SAR raw data is proposed in this paper. To apply this estimation method, we first extract the range cell migration trajectories of strong targets from range compressed data before range cell migration correction procedure. Second, with the help of pseudo-inverse method, the motion errors in line of sight direction will be calculated using the extracted trajectories. Finally, experiments on simulated data validate this proposed method.

2009 15th Asia-Pacific Conference on Communications, 2009

... Fig.1. Architecture of the proposed VGA circuit. B. Typical Cherry-Hooper Amplifier To fit hi... more ... Fig.1. Architecture of the proposed VGA circuit. B. Typical Cherry-Hooper Amplifier To fit high speed and small area requirement, Cherry-Hopper amplifier architecture is a good choice, as shown in Fig. ... Jia Cheng, Fengyi Huang*, Yang Gao, Lianhong Wu, Yu Tian F ...

2009 International Conference on Wireless Communications & Signal Processing, 2009

A low power 4-bit 2 GS/s flash ADC is presented. To enhance the speed, the analog part of the ADC... more A low power 4-bit 2 GS/s flash ADC is presented. To enhance the speed, the analog part of the ADC is fully pipelined; reset switches are inserted into preamplifiers and comparators for fast overdrive recovery. Post-simulation results show that the peak DNL and INL are 0.04 LSB and 0.06 LSB, respectively. With 970.2 MHz input, the SFDR and ENOB achieve

2009 IEEE Youth Conference on Information, Computing and Telecommunication, 2009

A CMOS down-conversion mixer for MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing) ... more A CMOS down-conversion mixer for MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing) UWB (Ultra-Wide Band) application is presented. The mixer is implemented with a double-balanced Gilbert-cell architecture and adopts dynamic current source to improve noise performance. Two inductors are also introduced to reduce the flicker noise. Designed in SMIC 0.18 ¿m CMOS process, simulation results show a conversion gain of 9

2009 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics (PrimeAsia), 2009

This paper presents a low-power down-conversion mixer for 3.1~4.8 GHz MB-OFDM UWB applications. T... more This paper presents a low-power down-conversion mixer for 3.1~4.8 GHz MB-OFDM UWB applications. The proposed mixer is based on folded double-balanced Gilbert cell and employs following techniques: two cross-coupling capacitors at the transconductance stage enhance conversion gain and reduce input noise; two choke inductors reduce flicker noise from the switch quad; tuning capacitors and resistors are added to fit different UWB bands. Designed in SMIC 0.13 ¿m CMOS process, post-simulation results show a conversion gain of 8.2 to 9.7 dB, a single-sideband noise figure of 10.4 to 12.4 dB, and an input third-order intercept point of -3.2 to -1.2 dBm over 3.1~4.8 GHz band. The mixer core dissipates 3.7 mW under 1.2 V supply, and the total area of the layout is 0.81 �? 0.5 mm2. Based on the proposed topology, an overall 3.1~10.6 GHz MB-OFDM UWB mixer can be designed with barely any more power consumption and circuit complexity.

Lecture Notes in Computer Science, 2011

Lecture Notes in Computer Science, 2009

Detecting abnormal event from video sequences is an important problem in computer vision and patt... more Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tackle this problem. Previous state-based approaches all suffer from the problem of deciding the appropriate number of states and it is often difficult to do so except using a trial-and-error approach, which may be infeasible in real-world applications. Yet in this paper, we have proposed a more accurate and flexible algorithm for abnormal event detection from video sequences. Our three-phase approach first builds a set of weak classifiers using Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM), and then proposes an ensemble learning algorithm to filter out abnormal events. In the final phase, we will derive abnormal activity models from the normal activity model to reduce the FP (False Positive) rate in an unsupervised manner. The main advantage of our algorithm over previous ones is to naturally capture the underlying feature in abnormal event detection via HDP-HMM. Experimental results on a real-world video sequence dataset have shown the effectiveness of our algorithm.

2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

ABSTRACT In this paper, we present a modified frequency scaling processing method for FMCW SAR da... more ABSTRACT In this paper, we present a modified frequency scaling processing method for FMCW SAR data. Compared to the conventional frequency scaling algorithm for FMCW SAR, an analytical slant model is employed so that it can work well in all conditions for FMCW SAR. Firstly, the algorithm model is deduced in detail and its implementation is given, and then a simulation experiment is carried on to evaluate its efficiency. Finally, real data of FMCW SAR validate the proposed algorithm.

International Journal of Climatology, 2014

Lecture Notes in Computer Science, 2009

ABSTRACT In this paper, we present a more effective approach to clustering with eXtended Classifi... more ABSTRACT In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS learning process with rule compact, during which we alter the XCS mechanisms and propose a new way to calculate rewards. After learning, the rules are evolved to form the final population consisting of rules with homogeneous data distribution. The second phase is merging the learnt rules to generate final clusters. We achieve this by modelling the rules as sub-graphs and merging the sub-graphs based on some criteria similar to CHAMELEON. Experimental results validate the effectiveness on a number of datasets, which contain clusters of different shapes, densities and distances.

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005

Molecular Biology Reports, 2010

DNMT3B is an important enzyme to modulate the methylation status in mammalian cells. The aim of t... more DNMT3B is an important enzyme to modulate the methylation status in mammalian cells. The aim of this study is to investigate the correlation of the DNMT3B G39179T polymorphism with the susceptibilities of colorectal adenomatous polyps and adenocarcinoma. This case-control study included 146 colorectal adenomatous polyps, 170 colorectal adenocarcinoma patients, and 157 normal controls. DNMT3B polymorphism was analyzed by polymerase chain

Naunyn-schmiedebergs Archives of Pharmacology, 2009

We demonstrated here that an initial treatment with aconitine- or barium-chloride-induced arrhyth... more We demonstrated here that an initial treatment with aconitine- or barium-chloride-induced arrhythmias and resulted in reduced susceptibility of the heart to the induction of arrhythmias by a repeated drug treatment 24 h after the initial one, a delayed preconditioning cardioprotection. This delayed preconditioning was accompanied by enhanced expression of cardiac muscarinic M3 receptor and abolished by M3-selective antagonist. We conclude that

Journal of The Optical Society of America B-optical Physics, 2010

There has been much recent interest in quantum optical interferometry for applications to metrolo... more There has been much recent interest in quantum optical interferometry for applications to metrology, sub-wavelength imaging, and remote sensing, such as in quantum laser radar (LADAR). For quantum LADAR, atmospheric absorption rapidly degrades any quantum state of light, so that for high-photon loss the optimal strategy is to transmit coherent states of light, which suffer no worse loss than the

Metastasis, the primary cause of death in most forms of cancer, is a multistep process whereby ce... more Metastasis, the primary cause of death in most forms of cancer, is a multistep process whereby cells from the primary tumor spread systemically and colonize distant new sites. Blocking critical steps in this process could potentially inhibit tumor metastasis and dramatically improve cancer survival rates; however, our understanding of metastasis at the molecular level is still rudimentary. Growth factor receptor

Lecture Notes in Computer Science, 2005

ABSTRACT For many web usage mining applications, it is crucial to compare navigation paths of dif... more ABSTRACT For many web usage mining applications, it is crucial to compare navigation paths of different users. This paper presents a reinforcement learning based method for mining the sequential usage patterns of user behaviors. In detail, the temporal data set about every user is constructed from the web log file, and then the navigation paths of the users are modelled using the extended Markov decision process. The proposed method could learn the dynamical sequential usage patterns on-line.

Lecture Notes in Computer Science, 2003

This paper concentrates on image aberrations due to platform trajectory deviation on squint SAR d... more This paper concentrates on image aberrations due to platform trajectory deviation on squint SAR data processing, by evaluating the disturbed SAR spectrum in terms of Doppler properties, and investigates the reason of image degradation with squint angle increasing in the presence of trajectory deviation. It is shown that certain range-walk removal strategy helps reduce squint SAR data sensitivity on motion error, and a new approach based on range-walk removal for spotlight SAR processing is proposed which can help minimize influence of trajectory deviation under varying Doppler parameters.

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

ABSTRACT The quality of Synthetic Aperture Radar image is affected by the deviation of radar plat... more ABSTRACT The quality of Synthetic Aperture Radar image is affected by the deviation of radar platforms from the nominal straight line which is usually measured based on hardware such as Inertial Measurement Unit and Global Position System with high accuracy. Because of limited budget, many SAR systems cannot carry those expensive equipments. Based on the 3-D Geometry model of the motion error analysis, a new method of aircraft motion error extraction from the SAR raw data is proposed in this paper. To apply this estimation method, we first extract the range cell migration trajectories of strong targets from range compressed data before range cell migration correction procedure. Second, with the help of pseudo-inverse method, the motion errors in line of sight direction will be calculated using the extracted trajectories. Finally, experiments on simulated data validate this proposed method.

2009 15th Asia-Pacific Conference on Communications, 2009

... Fig.1. Architecture of the proposed VGA circuit. B. Typical Cherry-Hooper Amplifier To fit hi... more ... Fig.1. Architecture of the proposed VGA circuit. B. Typical Cherry-Hooper Amplifier To fit high speed and small area requirement, Cherry-Hopper amplifier architecture is a good choice, as shown in Fig. ... Jia Cheng, Fengyi Huang*, Yang Gao, Lianhong Wu, Yu Tian F ...

2009 International Conference on Wireless Communications & Signal Processing, 2009

A low power 4-bit 2 GS/s flash ADC is presented. To enhance the speed, the analog part of the ADC... more A low power 4-bit 2 GS/s flash ADC is presented. To enhance the speed, the analog part of the ADC is fully pipelined; reset switches are inserted into preamplifiers and comparators for fast overdrive recovery. Post-simulation results show that the peak DNL and INL are 0.04 LSB and 0.06 LSB, respectively. With 970.2 MHz input, the SFDR and ENOB achieve

2009 IEEE Youth Conference on Information, Computing and Telecommunication, 2009

A CMOS down-conversion mixer for MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing) ... more A CMOS down-conversion mixer for MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing) UWB (Ultra-Wide Band) application is presented. The mixer is implemented with a double-balanced Gilbert-cell architecture and adopts dynamic current source to improve noise performance. Two inductors are also introduced to reduce the flicker noise. Designed in SMIC 0.18 ¿m CMOS process, simulation results show a conversion gain of 9

2009 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics (PrimeAsia), 2009

This paper presents a low-power down-conversion mixer for 3.1~4.8 GHz MB-OFDM UWB applications. T... more This paper presents a low-power down-conversion mixer for 3.1~4.8 GHz MB-OFDM UWB applications. The proposed mixer is based on folded double-balanced Gilbert cell and employs following techniques: two cross-coupling capacitors at the transconductance stage enhance conversion gain and reduce input noise; two choke inductors reduce flicker noise from the switch quad; tuning capacitors and resistors are added to fit different UWB bands. Designed in SMIC 0.13 ¿m CMOS process, post-simulation results show a conversion gain of 8.2 to 9.7 dB, a single-sideband noise figure of 10.4 to 12.4 dB, and an input third-order intercept point of -3.2 to -1.2 dBm over 3.1~4.8 GHz band. The mixer core dissipates 3.7 mW under 1.2 V supply, and the total area of the layout is 0.81 �? 0.5 mm2. Based on the proposed topology, an overall 3.1~10.6 GHz MB-OFDM UWB mixer can be designed with barely any more power consumption and circuit complexity.

Lecture Notes in Computer Science, 2011

Lecture Notes in Computer Science, 2009

Detecting abnormal event from video sequences is an important problem in computer vision and patt... more Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tackle this problem. Previous state-based approaches all suffer from the problem of deciding the appropriate number of states and it is often difficult to do so except using a trial-and-error approach, which may be infeasible in real-world applications. Yet in this paper, we have proposed a more accurate and flexible algorithm for abnormal event detection from video sequences. Our three-phase approach first builds a set of weak classifiers using Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM), and then proposes an ensemble learning algorithm to filter out abnormal events. In the final phase, we will derive abnormal activity models from the normal activity model to reduce the FP (False Positive) rate in an unsupervised manner. The main advantage of our algorithm over previous ones is to naturally capture the underlying feature in abnormal event detection via HDP-HMM. Experimental results on a real-world video sequence dataset have shown the effectiveness of our algorithm.

2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

ABSTRACT In this paper, we present a modified frequency scaling processing method for FMCW SAR da... more ABSTRACT In this paper, we present a modified frequency scaling processing method for FMCW SAR data. Compared to the conventional frequency scaling algorithm for FMCW SAR, an analytical slant model is employed so that it can work well in all conditions for FMCW SAR. Firstly, the algorithm model is deduced in detail and its implementation is given, and then a simulation experiment is carried on to evaluate its efficiency. Finally, real data of FMCW SAR validate the proposed algorithm.

International Journal of Climatology, 2014

Lecture Notes in Computer Science, 2009

ABSTRACT In this paper, we present a more effective approach to clustering with eXtended Classifi... more ABSTRACT In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS learning process with rule compact, during which we alter the XCS mechanisms and propose a new way to calculate rewards. After learning, the rules are evolved to form the final population consisting of rules with homogeneous data distribution. The second phase is merging the learnt rules to generate final clusters. We achieve this by modelling the rules as sub-graphs and merging the sub-graphs based on some criteria similar to CHAMELEON. Experimental results validate the effectiveness on a number of datasets, which contain clusters of different shapes, densities and distances.