Gene Targeting Using Somatic Cell Nuclear Transfer

Fuliang Du,Jie Xu,Jifeng Zhang,Xiuchun Tian,Xiangzhong Yang,Yuqing E. Chen 한국동물생명공학회(구 한국동물번식학회) 2007 발생공학 국제심포지엄 및 학술대회 Vol.2007 No.1

Peak-to-Average Power Ratio Reduction Using N-tuple Selective Mapping Method for MC-CDMA

Sajjad Ali,Zhe Chen,Fuliang Yin 한국전자통신연구원 2015 ETRI Journal Vol.37 No.2

The multi-carrier transmission signal in Multi-Carrier Code Division Multiple Access (MC-CDMA) has a high peak-to-average power ratio (PAPR), which results in nonlinear distortion and deteriorative system performance. An n-tuple selective mapping method is proposed to reduce the PAPR, in this paper. This method generates 2n sequences of an original data sequence by adding n-tuple of n PAPR control bits to it followed by an interleaver and error-control code (ECC) to reduce its PAPR. The convolutional, Golay, and Hamming codes are used as ECCs in the proposed scheme. The proposed method uses different numbers of the n PAPR control bits to accomplish a noteworthy PAPR reduction and also avoids the need for a side-information transmission. The simulation results authenticate the effectiveness of the proposed method.

SLAM with Improved Schmidt Orthogonal Unscented Kalman Filter

Ming Tang,Zhe Chen,Fuliang Yin 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4

Simultaneous localization and mapping (SLAM) is a momentous topic for robot navigation to explore uncharted environment. To enhance the accuracy and efficiency, an improved Schmidt orthogonal unscented Kalman filter (ISOUKF) based SLAM algorithm is proposed in this paper. First, based on the Schmidt orthogonal transform (SOT) sampling, a modified unscented Kalman filter (UKF) algorithm is presented. Then, an adaptive fading factor is derived using the strong tracking algorithm, and it is introduced into the prediction covariance to improve tracking ability and accuracy. Next, the Schmidt orthogonal unscented Kalman filter is improved with square root filter to raise the efficiency of SLAM algorithm. Finally, the ISOUKF algorithm is proposed to complete the robot tracking in SLAM. The proposed algorithm provides a high precision robot tracking for SLAM and decreases the computational cost to some extent. Experiment results verify the superiority of the proposed algorithm.

An Improved Adaptive Unscented FastSLAM with Genetic Resampling

Ming Tang,Zhe Chen,Fuliang Yin 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.4

The simultaneous localization and mapping (SLAM) is a significant topic in intelligent robot. In this paper, an improved adaptive unscented FastSLAM with genetic resampling is proposed. Specifically, the adaptive unscented Kalman filter (IAUKF) algorithm is improved as importance sampling of particle filter, where the adaptive factor is used to improve the tracking ability of system and the Huber cost function is constructed to decrease the measurement covariance. Next, the process noise and the measurement noise are assessed by a time varying estimator. Moreover, the resampling in particle filter is carried out by an improved genetic algorithm (GA). Finally, the improved adaptive unscented FastSLAM (IAUFastSLAM) is proposed to complete robot tracking. The proposed algorithm has good tracking performance and obtains reliable state estimation in SLAM. Simulation results reveal the validity of the proposed algorithm.

Robot Tracking in SLAM with Masreliez-Martin Unscented Kalman Filter

Ming Tang,Zhe Chen,Fuliang Yin 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.9

The simultaneous localization and mapping (SLAM) is a significant topic in intelligent robot. In this paper, a robot tracking algorithm in SLAM with Masreliez-Martin unscented Kalman filter (MMUKF) is proposed. A robot dynamic model based on SLAM characteristics is first used as state equation to model the robotic movement, and the measurement equations are deduced by linearizing the motion model. Next, the covariance of process noise is estimated with an adaptive factor to improve tracking performance in the MMUKF. Finally, the MMUKF is employed to estimate the positions of robot and landmarks. The proposed algorithm can complete robot tracking with good accuracy, and obtain reliable state estimation in SLAM. Simulation results reveal the validity of the proposed Algorithm.

An Eye Location based Head Posture Recognition Method and Its Application in Mouse Operation

( Zhe Chen ),( Bingbing Yang ),( Fuliang Yin ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.3

An eye location based head posture recognition method is proposed in this paper. First, face is detected using skin color method, and eyebrow and eye areas are located based on gray gradient in face. Next, pupil circles are determined using edge detection circle method. Finally, head postures are recognized based on eye location information. The proposed method has high recognition precision and is robust for facial expressions and different head postures, and can be used in mouse operation. The experimental results reveal the validity of proposed method.

An Improved UFastSLAM With Generalized Correntropy Loss and Adaptive Genetic Resampling

Ming Tang,Zhe Chen,Fuliang Yin 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3

The simultaneous localization and mapping (SLAM) is a research hotspot in robot navigation. In thispaper, an improved UFastSLAM with generalized correntropy loss and adaptive genetic resampling is proposed. Specifically, the unscented Kalman filter algorithm with generalized correntropy loss is improved as the importancesampling in particle filter. Then, an adaptive genetic algorithm is employed to complete the resampling of particlefilter. Finally, the improved UFastSLAM with generalized correntropy loss is presented to complete robot tracking. The proposed algorithm can complete robot tracking with high accuracy performance, and obtain reliable stateestimation under the non-Gaussian measurement noise in SLAM. Simulation and experiment results exhibit theavailability of the proposed SLAM algorithm.

Collection and evaluation of thirty‑seven pomegranate germplasm resources

Yingshu Peng,Guibin Wang,Fuliang Cao,Fang‑Fang Fu 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.2

Pomegranates (Punica granatum L.) are gaining popularity among consumers because of their high antioxidant activity and multiple medical benefits. China is rich in pomegranate genetic resources, but how to use them effectively is a problem worthy of deep consideration. In this article, thirty-seven pomegranate varieties from seven provinces in China were collected and analyzed for twelve phenotypic traits and twelve biochemical indicators (seeds and juices). The fruit and aril fresh weight ranged between 210.5 and 576.5 g and 121.0 to 327.5 g, respectively, and the edible rate (42.58–64.80%), seed weight (1.80–3.41 g), seed number (249.1–838.9), fruit height (10.51–15.48 mm), fruit diameter (11.46–17.50 mm), skin thickness (2.14–6.98 mm), and shape index (0.82–0.96) varied among the different genotypes. The pomegranate juice total phenolic content ranged from 40.91 to 132.47 μg/mL, and the total flavonoid content (14.08–137.72 μg/mL), vitamin C content (12.80–66.63 μg/mL), pH (3.10–4.34), total soluble solids (13.13– 17.50°Brix), and titratable acidity (0.26–2.71%) also varied; the pomegranate seed total phenolic content ranged from 0.62 to 1.78 mg/g, and the total flavonoid content (0.39–0.99 mg/g), vitamin C content (7.55–13.90 mg/g), DPPH radical scavenging capacity (85.98–98.24%), and ABTS scavenging ability (28.72–51%) were also measured. The coefficients of variation of the studied traits ranged from 5.62 to 54.02%, and the phenotypic traits’ Shannon–Weaver diversity indexes ranged from 0.67 to 1.53. Cluster analysis divided the 37 varieties into three categories, providing a reference for improved variety breeding. In addition, genotypic and environmental effects mainly affected the pomegranate flavor and antioxidant activity, respectively.

A novel numerical approach for workspace determination of parallel mechanisms

Yiqun Zhou,Junchuan Niu,Zhihui Liu,Fuliang Zhang 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.6

In this paper, a novel numerical approach is proposed for workspace determination of parallel mechanisms. Compared with the classicalnumerical approaches, this presented approach discretizes both location and orientation of the mechanism simultaneously, not onlyone of the two. This technique makes the presented numerical approach applicable in determining almost all types of workspaces, whiletraditional numerical approaches are only applicable in determining the constant orientation workspace and orientation workspace. Thepresented approach and its steps to determine the inclusive orientation workspace and total orientation workspace are described in detail. A lower-mobility parallel mechanism and a six-degrees-of-freedom Stewart platform are set as examples, the workspaces of thesemechanisms are estimated and visualized by the proposed numerical approach. Furthermore, the efficiency of the presented approach isdiscussed. The examples show that the presented approach is applicable in determining the inclusive orientation workspace and totalorientation workspace of parallel mechanisms with high efficiency.

Parameter Sensitivity Analysis of the WRF-Hydro Modeling System for Streamflow Simulation: a Case Study in Semi-Humid and Semi-Arid Catchments of Northern China

Yuchen Liu,Jia Liu,Chuanzhe Li,Fuliang Yu,Wei Wang,Qingtai Qiu 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.3

The WRF model is nowadays the most widely applied mesoscale numerical weather prediction model. Its land-surface hydrological modeling module, WRF-Hydro, which is designed to facilitate the land-surface modeling being coupled with WRF, draws more and more attentions from both the meteorological and the hydrological community. In this study, four sensitive and principle parameters of WRF-Hydro are tested in semi-humid and semi-arid areas of northern China. These parameters include the runoff infiltration parameter (REFKDT), the surface retention depth (RETDEPRT) controlled by a scaling parameter named RETDEPRTFAC, the channel Manning roughness parameter (MannN), and the overland flow roughness parameter (OVROUGHRT) controlled by the scaling parameter OVROUGHRTFAC. WRF-Hydro is designed with a 100-m horizontal grid spacing in two catchments of northern China. The performance of WRF-Hydro with different parameterisation combination schemes is tested for simulating a typical 24-h storm events with uniform rainfall evenness in space and time. The Nash-Sutcliffe efficiency and the root mean squared error of the simulated streamflow, together with the cumulative amount of the simulated rainfall is chosen as the evaluation statistics. It is found that REFKDT and MannN are the most sensitive parameter among the four parameters, and the case is especially evident with unsaturated soil conditions. In order to obtain the most reasonable value range, REFKDT and MannN are further verified by another three 24-h storm events with different spatial and temporal evenness. The range of REFKDT from 2.0 to 3.0, and the MannN scale factor from 1.5 to 1.8 is found to give the best results. The findings of this study can be used as references for calibration of the WRF-Hydro modeling system in semi-humid and semi-arid regions with similar rainfall-runoff response characteristics. The methodologies to design and test the combination schemes of parameterisations can also be regarded as a reference for evaluation of the WRF/WRF-Hydro coupled system for land-surface process modeling.