Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedago...Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedagogical model embedding scholarly literature’s logical architecture into LBL-RBL hybrid teaching,implemented in Kunming Medical University’s Neuropathophysiology course.Targeting the complexity of neurological disease mechanisms,the course integrates lecture-based learning(LBL)and research-based learning(RBL)through a small-cohort framework featuring personalized literature-logic embedding→targeted lecture reinforcement→multi-round proposal iteration.Faculty deconstructed domain literature to establish a three-phase training system(“Logic Demonstration-Methodology Mapping-Proposal Embedding”),systematically merging academic logic with research methodology over 9 weeks.Results demonstrate that this problem-driven approach creates authentic scientific inquiry scenarios,activating student knowledge co-construction and collaborative exploration.It successfully enables dynamic competency progression through“cognitive deconstruction→methodological practice→proposal refinement,”significantly enhancing proposal rigor and innovation.This study offers a scalable dual-track solution for cultivating advanced scientific capabilities in medical graduate education.展开更多
The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprec...The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprecedented ways,ushering in a new period of turbulence and transition.Geopolitical and geo-economic competition among major powers is intensifying;global economic growth remains sluggish;crises and conflicts continue to emerge;and both regional and global peace and security are repeatedly challenged.展开更多
The People＇s Political Consultative Conference is an organization of the patriotic united front of the Chinese people, and it is an important form of develop- ing socialist democracy. As an important way to perform t...The People＇s Political Consultative Conference is an organization of the patriotic united front of the Chinese people, and it is an important form of develop- ing socialist democracy. As an important way to perform the functions of the People＇s Political Consultative Conference, the proposal work has been valued by the leading collective of the Communist Party of China. Based on the summary of the research results of CPPCC proposals at home and abroad, the influence factors of the quality of proposals were investigated through the analysis and summary of the overall conditions of CPPCC proposals in recent 5 years, and specific countermeasures were put forward in terms of proposal drafting, filing and summarizing, so as to improve the scientific level of proposal work in China, and give full play to the function of CPPCC proposal work.展开更多
Applied Immobilized algae bacteria (ABI) to remove ammonia of freshwater aquaculture wastewater. Temperature (T),PH,light intensity (I),dissolved oxygen (DO) and filling rate five factors plays important role in the p...Applied Immobilized algae bacteria (ABI) to remove ammonia of freshwater aquaculture wastewater. Temperature (T),PH,light intensity (I),dissolved oxygen (DO) and filling rate five factors plays important role in the process of ammonia nitrogen removal ,related data between ammonia removal and five factors was received through multi-factor orthogonal test,and established relations model between the five factor and nitrogen removal. The results show that five-factors had significant effect on AR,and the best combinations for removing AR was temperature 30 ℃,pH=7.0,light intensity 6 000 lux,dissolved oxygen 5.0 mg/L and the fill rate 10%. According to the experimental data,equation model was proposed and coefficient of determination R2 =0.864 8,P<0.05. Samples T-test was done between the model predictions and the actual measured values.Test results showed that the significant difference of overall mean value sig. (2-tailed) was 0.978 (P>0.05),it Shows that had no significant difference between model predictions and the actual measured value,and model had a high degree of fitting.展开更多
This paper briefly summarizes an officially ratified Global Standard Stratotype-section and Point （GSSP） and a proposed GSSP for global stages of the Cambrian System. The Luoyixi section near Luoyixi town, Guzhang, ...This paper briefly summarizes an officially ratified Global Standard Stratotype-section and Point （GSSP） and a proposed GSSP for global stages of the Cambrian System. The Luoyixi section near Luoyixi town, Guzhang, northwestern Hunan is ratified as the boundary stratotype for the base of the global Guzhangian Stage, which is the upmost stage of an unnamed series termed provisionally as Cambrian Series 3. The GSSP position lies 121.3 m above the base of the Huaqiao Formation in the section, coinciding with the first appearance of the cosmopolitan agnostoid trilobite Lejopyge leavigata.The Duibian B section at Duibian village, Jiangshan, western Zhejiang, is proposed as the boundary stratotype for the base of the proposed global Jiangshanian Stage that is the second stage of the Furongian Series. The proposed GSSP position lies 108.12 m above the base of the Huayansi Formation in the section, coinciding with the first appearance of the cosmopolitan agnostoid trilobite Agnostotes orientalius. This horizon is also with the first appearance of the cosmopolitan polymerid trilobite lrvingella angustilimbata.展开更多
A new kind of buoyancy salinometer was designed according to the correlated theories of density, temperature(pressure), buoyancy and salinity. The precision and accuracy of the apparatus were determined by the Beihai ...A new kind of buoyancy salinometer was designed according to the correlated theories of density, temperature(pressure), buoyancy and salinity. The precision and accuracy of the apparatus were determined by the Beihai Branch of the State Ocean Measurements Station, China. The buoyancy salinometer is based on the buoyancy theory of liquid, and its determinations are not affected by the variation of sample constituents and have the same accuracy relative to the absolute or standard salinity of conservative ocean water and non conservative estuarine water. Use of the buoyancy salinometer eliminates determination errors caused by using the practical salinity scale 1978 (PSS78) to measure constituent varying seawater samples on the basis of electrical conductivity of seawater samples. A new proposal for a density salinity scale (DSS98) is put forward in this paper.展开更多
The present note is concerned with two connected and highly important fundamental questions of physics and cosmology, namely if E8E8 Lie symmetry group describes the universe and where cosmic dark energy comes from. F...The present note is concerned with two connected and highly important fundamental questions of physics and cosmology, namely if E8E8 Lie symmetry group describes the universe and where cosmic dark energy comes from. Furthermore, we reason following Wheeler, Hartle and Hawking that since the boundary of a boundary is an empty set which models the quantum wave of the cosmos, then it follows that dark energy is a fundamental physical phenomenon associated with the boundary of the holographic boundary. This leads directly to a clopen universe which is its own Penrose tiling-like multiverse with energy density in full agreement with COBE, WMAP and Type 1a supernova cosmic measurements.展开更多
Vision-based technologies have been extensively applied for on-street parking space sensing,aiming at providing timely and accurate information for drivers and improving daily travel convenience.However,it faces great...Vision-based technologies have been extensively applied for on-street parking space sensing,aiming at providing timely and accurate information for drivers and improving daily travel convenience.However,it faces great challenges as a partial visualization regularly occurs owing to occlusion from static or dynamic objects or a limited perspective of camera.This paper presents an imagery-based framework to infer parking space status by generating 3D bounding box of the vehicle.A specially designed convolutional neural network based on ResNet and feature pyramid network is proposed to overcome challenges from partial visualization and occlusion.It predicts 3D box candidates on multi-scale feature maps with five different 3D anchors,which generated by clustering diverse scales of ground truth box according to different vehicle templates in the source data set.Subsequently,vehicle distribution map is constructed jointly from the coordinates of vehicle box and artificially segmented parking spaces,where the normative degree of parked vehicle is calculated by computing the intersection over union between vehicle’s box and parking space edge.In space status inference,to further eliminate mutual vehicle interference,three adjacent spaces are combined into one unit and then a multinomial logistic regression model is trained to refine the status of the unit.Experiments on KITTI benchmark and Shanghai road show that the proposed method outperforms most monocular approaches in 3D box regression and achieves satisfactory accuracy in space status inference.展开更多
Peer review is the cornerstone in scientific publication.Although peer review has paramount importance in ensuring the quality of the published literature,it still has a number of shortcomings.The present manuscript p...Peer review is the cornerstone in scientific publication.Although peer review has paramount importance in ensuring the quality of the published literature,it still has a number of shortcomings.The present manuscript proposes a new method to improve the current peer review system by providing an interactive,dynamic platform that allows direct,anonymous interaction between the authors of submitted manuscripts and the reviewers.Such real-time interaction may help eliminate any problems related to misunderstanding or misinterpretation of the reviewer’s comments or the authors’response,and would save time while keeping the identity of both parties anonymous.展开更多
Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisyrepresentation. In this paper,...Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisyrepresentation. In this paper, a recognition method, involving a novel visual attention mechanismbased Gabor region proposal sub-network(Gabor RPN) and improved refinement generative adversarial sub-network(GAN), is proposed. Novel central-peripheral rivalry 3D color Gabor filters are proposed to simulate retinal structures and taken as feature extraction convolutional kernels in low-level layer to improve the recognition accuracy and framework training efficiency in Gabor RPN. Improved refinement GAN is used to solve the problem of blurry target classification, involving a generator to directly generate large high-resolution images from small blurry ones and a discriminator to distinguish not only real images vs. fake images but also the class of targets. A special recognition dataset for ground military target, named Ground Military Target Dataset(GMTD), is constructed. Experiments performed on the GMTD dataset effectively demonstrate that our method can achieve better energy-saving and recognition results when low-resolution and noisy-representation targets are involved, thus ensuring this algorithm a good engineering application prospect.展开更多
One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type ...One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type of proposal distribution for particle filter, called as R-IEKF proposal. By combining iterated extended kalman filter with Rauch-Tung-Striebel optimal smoother, the new proposal integrates the latest observation into system and approximates the true posterior distribution reasonably well, hence generating more precise and stable particles against measurement noise. The simulation results indicate that the improved particle filter with R-IEKF proposal prevails over PF-EKF and UPF both in tracking accuracy and filtering stability. Consequently, PF-RIEKF is a competitive choice in noisy measurement environment.展开更多
Objective To explore a corresponding model that would bridge the gap between the practice of clinical teaching of nursing students in clinical settings in China and the clinical instructors' standard teaching of n...Objective To explore a corresponding model that would bridge the gap between the practice of clinical teaching of nursing students in clinical settings in China and the clinical instructors' standard teaching of nursing students in clinical settings in the Philippines. Methods A phenomenological-qualitative,non-experimental type of research was utilized to recruit 27 staff nurses/clinical teachers in China. Data was collected by using audio-tapes and taking notes in the interviews. Results A content analysis was conducted and the sorted into four themes:(1) The things that they were able to teach their students;(2) The things that they were not able to teach their students;(3) The difficulties encountered in doing Clinical Teaching for their students;(4) Suggestions to improve Clinical Teaching. Conclusion According to the findings,the "CP's Proposed Nursing Clinical Teaching Model"should be introduced into the clinical set-up for staff nurses/clinical teachers handling nursing students in China.展开更多
Since Kyoto Protocol came into force on February 16, 2005, the endeavor by international society to combat the climate change has stepped into a new milestone. The greenhouse gas （GHG） abatement mechanisms in Kyoto ...Since Kyoto Protocol came into force on February 16, 2005, the endeavor by international society to combat the climate change has stepped into a new milestone. The greenhouse gas （GHG） abatement mechanisms in Kyoto Protocol have served a remarkable function but also been questioned during the practices of past three years about its environmental effectiveness. A lot of new international GHG emission reduction proposals are proposed from many new a.spects, some of which especially impose pressure on developing countries. So it is of great importance to research on these new proposals in time for negotiation beyond Kyoto and institution of Chinese relevant climate policies. As this paper focutses on the way of commitment distribution of mechanisms, the mechanisms here are categorized in one of two types： those distribute commitment based on countries and those based on sectors. Some of the typical mechanisms are selected to be analyzed comparatively, especially about their influence on developing countries,E-mail address： jiangdongmei@tsinghua.edu.cn展开更多
Single-layer superconductors[1]have been the subject of considerable interests as they are ideal systems for the fundamental understanding of two-dimensional(2D)physics and for device applications.A few singlelayer su...Single-layer superconductors[1]have been the subject of considerable interests as they are ideal systems for the fundamental understanding of two-dimensional(2D)physics and for device applications.A few singlelayer superconductors are experimentally achieved(e.g.,FeSe,MoS2,and NbSe2[2-4]in the field where either charge doping or tensile strain is often required to promote the superconductivity.展开更多
Particle filtering algorithm has been applied to various fields due to its capacity to handle nonlinear/non-Gaussian dynamic problems. One crucial issue in particle filtering is the selection of the proposal distribut...Particle filtering algorithm has been applied to various fields due to its capacity to handle nonlinear/non-Gaussian dynamic problems. One crucial issue in particle filtering is the selection of the proposal distribution that generates the particles. In this paper, we give a novel strategy for selecting proposal distribution. Firstly, divide-conquer strategy is used, in which the particles used are divided into several parts. Afterward, different parts of particles are drawn from different proposal distributions. People can flexibly adjust how many of the particles drawn from specific proposal distributions according to their idiographic requirements. We provide simulation results that show its efficiency and performance.展开更多
Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector...Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector and adaptive space partitioning algorithm to infer traffic accidents quantitatively.Using 2D region proposals in an RGB image,this method generates deformable frustums based on point cloud for each 2D region proposal and then frustum-wisely extracts features based on the farthest point sampling network(FPS-Net)and feature extraction network(FE-Net).Subsequently,the encoder-decoder network(ED-Net)implements 3D-oriented bounding box(OBB)regression.Meanwhile,the adaptive least square regression(ALSR)method is proposed to split 3D OBB.Finally,the reduced OBB intersection test is carried out to detect traffic accidents via separating surface theorem(SST).In the experiments of KITTI benchmark,our proposed 3D object detector outperforms other state-of-theartmethods.Meanwhile,collision detection algorithm achieves the satisfactory performance of 91.8%accuracy on our SHTA dataset.展开更多
Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific...Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific proposals is proposed to optimize the mathematical model of the correlation filter(CF).Firstly,according to the consistency of the changes between the object frames and the filter frames,the mask matrix is introduced into the objective function of the filter,so as to extract the spatio-temporal information of the object with background awareness.Secondly,the object function of multi-feature fusion is constructed for the object location,which is optimized by the Lagrange method and solved by closed iteration.In the process of filter optimization,the constraints term of time-space perception is designed to enhance the learning ability of the CF to optimize the final track-ing results.Finally,when the tracking results fluctuate,the boundary suppres-sion factor is introduced into the instance-specific proposals to reduce the risk of model drift effectively.The accuracy and success rate of the proposed algorithm are verified by simulation analysis on two popular benchmarks,the object tracking benchmark 2015(OTB2015)and the temple color 128(TC-128).Extensive experimental results illustrate that the optimized appearance model of the proposed algorithm is effective.The distance precision rate and overlap success rate of the proposed algorithm are 0.756 and 0.656 on the OTB2015 benchmark,which are better than the results of other competing algorithms.The results of this study can solve the problem of real-time object tracking in the real traffic environment and provide a specific reference for the detection of traffic abnormalities.展开更多
基金The Educational Research Project of Kunming Medical University(2023-JY-Y-024 and 2022-JY-Y-011)Special Research Project for Introduced Talent of Kunming Medical University(J13395001)。
文摘Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedagogical model embedding scholarly literature’s logical architecture into LBL-RBL hybrid teaching,implemented in Kunming Medical University’s Neuropathophysiology course.Targeting the complexity of neurological disease mechanisms,the course integrates lecture-based learning(LBL)and research-based learning(RBL)through a small-cohort framework featuring personalized literature-logic embedding→targeted lecture reinforcement→multi-round proposal iteration.Faculty deconstructed domain literature to establish a three-phase training system(“Logic Demonstration-Methodology Mapping-Proposal Embedding”),systematically merging academic logic with research methodology over 9 weeks.Results demonstrate that this problem-driven approach creates authentic scientific inquiry scenarios,activating student knowledge co-construction and collaborative exploration.It successfully enables dynamic competency progression through“cognitive deconstruction→methodological practice→proposal refinement,”significantly enhancing proposal rigor and innovation.This study offers a scalable dual-track solution for cultivating advanced scientific capabilities in medical graduate education.
文摘The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprecedented ways,ushering in a new period of turbulence and transition.Geopolitical and geo-economic competition among major powers is intensifying;global economic growth remains sluggish;crises and conflicts continue to emerge;and both regional and global peace and security are repeatedly challenged.
文摘The People＇s Political Consultative Conference is an organization of the patriotic united front of the Chinese people, and it is an important form of develop- ing socialist democracy. As an important way to perform the functions of the People＇s Political Consultative Conference, the proposal work has been valued by the leading collective of the Communist Party of China. Based on the summary of the research results of CPPCC proposals at home and abroad, the influence factors of the quality of proposals were investigated through the analysis and summary of the overall conditions of CPPCC proposals in recent 5 years, and specific countermeasures were put forward in terms of proposal drafting, filing and summarizing, so as to improve the scientific level of proposal work in China, and give full play to the function of CPPCC proposal work.
基金Supported by the National Natural Science Foundation of China(No.30972260)~~
文摘Applied Immobilized algae bacteria (ABI) to remove ammonia of freshwater aquaculture wastewater. Temperature (T),PH,light intensity (I),dissolved oxygen (DO) and filling rate five factors plays important role in the process of ammonia nitrogen removal ,related data between ammonia removal and five factors was received through multi-factor orthogonal test,and established relations model between the five factor and nitrogen removal. The results show that five-factors had significant effect on AR,and the best combinations for removing AR was temperature 30 ℃,pH=7.0,light intensity 6 000 lux,dissolved oxygen 5.0 mg/L and the fill rate 10%. According to the experimental data,equation model was proposed and coefficient of determination R2 =0.864 8,P<0.05. Samples T-test was done between the model predictions and the actual measured values.Test results showed that the significant difference of overall mean value sig. (2-tailed) was 0.978 (P>0.05),it Shows that had no significant difference between model predictions and the actual measured value,and model had a high degree of fitting.
基金supported by the Ministry of Science and Technology of China (2006FY120300)the State Key Laboratory of Palaeobiology and Stratigraphy (20091103)funded by the National Natural Science Foundation of China (40072003, 40023002, 40332018, 40672023, 40602002)
文摘This paper briefly summarizes an officially ratified Global Standard Stratotype-section and Point （GSSP） and a proposed GSSP for global stages of the Cambrian System. The Luoyixi section near Luoyixi town, Guzhang, northwestern Hunan is ratified as the boundary stratotype for the base of the global Guzhangian Stage, which is the upmost stage of an unnamed series termed provisionally as Cambrian Series 3. The GSSP position lies 121.3 m above the base of the Huaqiao Formation in the section, coinciding with the first appearance of the cosmopolitan agnostoid trilobite Lejopyge leavigata.The Duibian B section at Duibian village, Jiangshan, western Zhejiang, is proposed as the boundary stratotype for the base of the proposed global Jiangshanian Stage that is the second stage of the Furongian Series. The proposed GSSP position lies 108.12 m above the base of the Huayansi Formation in the section, coinciding with the first appearance of the cosmopolitan agnostoid trilobite Agnostotes orientalius. This horizon is also with the first appearance of the cosmopolitan polymerid trilobite lrvingella angustilimbata.
文摘A new kind of buoyancy salinometer was designed according to the correlated theories of density, temperature(pressure), buoyancy and salinity. The precision and accuracy of the apparatus were determined by the Beihai Branch of the State Ocean Measurements Station, China. The buoyancy salinometer is based on the buoyancy theory of liquid, and its determinations are not affected by the variation of sample constituents and have the same accuracy relative to the absolute or standard salinity of conservative ocean water and non conservative estuarine water. Use of the buoyancy salinometer eliminates determination errors caused by using the practical salinity scale 1978 (PSS78) to measure constituent varying seawater samples on the basis of electrical conductivity of seawater samples. A new proposal for a density salinity scale (DSS98) is put forward in this paper.
文摘The present note is concerned with two connected and highly important fundamental questions of physics and cosmology, namely if E8E8 Lie symmetry group describes the universe and where cosmic dark energy comes from. Furthermore, we reason following Wheeler, Hartle and Hawking that since the boundary of a boundary is an empty set which models the quantum wave of the cosmos, then it follows that dark energy is a fundamental physical phenomenon associated with the boundary of the holographic boundary. This leads directly to a clopen universe which is its own Penrose tiling-like multiverse with energy density in full agreement with COBE, WMAP and Type 1a supernova cosmic measurements.
基金This work was supported in part by National Natural Science Foundation of China(No.51805312)in part by Shanghai Sailing Program(No.18YF1409400)+2 种基金in part by Training and Funding Program of Shanghai College young teachers(No.ZZGCD15102)in part by Scientific Research Project of Shanghai University of Engineering Science(No.2016-19)in part by the Shanghai University of Engineering Science Innovation Fund for Graduate Students(No.18KY0613).
文摘Vision-based technologies have been extensively applied for on-street parking space sensing,aiming at providing timely and accurate information for drivers and improving daily travel convenience.However,it faces great challenges as a partial visualization regularly occurs owing to occlusion from static or dynamic objects or a limited perspective of camera.This paper presents an imagery-based framework to infer parking space status by generating 3D bounding box of the vehicle.A specially designed convolutional neural network based on ResNet and feature pyramid network is proposed to overcome challenges from partial visualization and occlusion.It predicts 3D box candidates on multi-scale feature maps with five different 3D anchors,which generated by clustering diverse scales of ground truth box according to different vehicle templates in the source data set.Subsequently,vehicle distribution map is constructed jointly from the coordinates of vehicle box and artificially segmented parking spaces,where the normative degree of parked vehicle is calculated by computing the intersection over union between vehicle’s box and parking space edge.In space status inference,to further eliminate mutual vehicle interference,three adjacent spaces are combined into one unit and then a multinomial logistic regression model is trained to refine the status of the unit.Experiments on KITTI benchmark and Shanghai road show that the proposed method outperforms most monocular approaches in 3D box regression and achieves satisfactory accuracy in space status inference.
文摘Peer review is the cornerstone in scientific publication.Although peer review has paramount importance in ensuring the quality of the published literature,it still has a number of shortcomings.The present manuscript proposes a new method to improve the current peer review system by providing an interactive,dynamic platform that allows direct,anonymous interaction between the authors of submitted manuscripts and the reviewers.Such real-time interaction may help eliminate any problems related to misunderstanding or misinterpretation of the reviewer’s comments or the authors’response,and would save time while keeping the identity of both parties anonymous.
基金the National Key Research and Development Program of China(No.2016YFC0802904)National Natural Science Foundation of China(No.61671470)Natural Science Foundation of Jiangsu Province(BK20161470).
文摘Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisyrepresentation. In this paper, a recognition method, involving a novel visual attention mechanismbased Gabor region proposal sub-network(Gabor RPN) and improved refinement generative adversarial sub-network(GAN), is proposed. Novel central-peripheral rivalry 3D color Gabor filters are proposed to simulate retinal structures and taken as feature extraction convolutional kernels in low-level layer to improve the recognition accuracy and framework training efficiency in Gabor RPN. Improved refinement GAN is used to solve the problem of blurry target classification, involving a generator to directly generate large high-resolution images from small blurry ones and a discriminator to distinguish not only real images vs. fake images but also the class of targets. A special recognition dataset for ground military target, named Ground Military Target Dataset(GMTD), is constructed. Experiments performed on the GMTD dataset effectively demonstrate that our method can achieve better energy-saving and recognition results when low-resolution and noisy-representation targets are involved, thus ensuring this algorithm a good engineering application prospect.
基金Sponsored by the National Natural Science Foundation of China (Grant No. 61136002 )Key Project of Chinese Ministry of Education (Grant No.211180)Shannxi Provincial Industrial and Technological Project(Grant No. 2011K06-47)
文摘One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type of proposal distribution for particle filter, called as R-IEKF proposal. By combining iterated extended kalman filter with Rauch-Tung-Striebel optimal smoother, the new proposal integrates the latest observation into system and approximates the true posterior distribution reasonably well, hence generating more precise and stable particles against measurement noise. The simulation results indicate that the improved particle filter with R-IEKF proposal prevails over PF-EKF and UPF both in tracking accuracy and filtering stability. Consequently, PF-RIEKF is a competitive choice in noisy measurement environment.
文摘Objective To explore a corresponding model that would bridge the gap between the practice of clinical teaching of nursing students in clinical settings in China and the clinical instructors' standard teaching of nursing students in clinical settings in the Philippines. Methods A phenomenological-qualitative,non-experimental type of research was utilized to recruit 27 staff nurses/clinical teachers in China. Data was collected by using audio-tapes and taking notes in the interviews. Results A content analysis was conducted and the sorted into four themes:(1) The things that they were able to teach their students;(2) The things that they were not able to teach their students;(3) The difficulties encountered in doing Clinical Teaching for their students;(4) Suggestions to improve Clinical Teaching. Conclusion According to the findings,the "CP's Proposed Nursing Clinical Teaching Model"should be introduced into the clinical set-up for staff nurses/clinical teachers handling nursing students in China.
基金supported by National Ministry of Science and Technology about the project of Study on Designation and Countermeasures for China's participation in Sectoral and Regional Commitments of Emission Reduction (Grant No.2007BAC03A12).
文摘Since Kyoto Protocol came into force on February 16, 2005, the endeavor by international society to combat the climate change has stepped into a new milestone. The greenhouse gas （GHG） abatement mechanisms in Kyoto Protocol have served a remarkable function but also been questioned during the practices of past three years about its environmental effectiveness. A lot of new international GHG emission reduction proposals are proposed from many new a.spects, some of which especially impose pressure on developing countries. So it is of great importance to research on these new proposals in time for negotiation beyond Kyoto and institution of Chinese relevant climate policies. As this paper focutses on the way of commitment distribution of mechanisms, the mechanisms here are categorized in one of two types： those distribute commitment based on countries and those based on sectors. Some of the typical mechanisms are selected to be analyzed comparatively, especially about their influence on developing countries,E-mail address： jiangdongmei@tsinghua.edu.cn
文摘Single-layer superconductors[1]have been the subject of considerable interests as they are ideal systems for the fundamental understanding of two-dimensional(2D)physics and for device applications.A few singlelayer superconductors are experimentally achieved(e.g.,FeSe,MoS2,and NbSe2[2-4]in the field where either charge doping or tensile strain is often required to promote the superconductivity.
文摘Particle filtering algorithm has been applied to various fields due to its capacity to handle nonlinear/non-Gaussian dynamic problems. One crucial issue in particle filtering is the selection of the proposal distribution that generates the particles. In this paper, we give a novel strategy for selecting proposal distribution. Firstly, divide-conquer strategy is used, in which the particles used are divided into several parts. Afterward, different parts of particles are drawn from different proposal distributions. People can flexibly adjust how many of the particles drawn from specific proposal distributions according to their idiographic requirements. We provide simulation results that show its efficiency and performance.
基金National Natural Science Foundation of China(No.51805312)in part by Shanghai Sailing Program(No.18YF1409400)+4 种基金in part by Training and Funding Program of Shanghai College young teachers(No.ZZGCD15102)in part by Scientific Research Project of Shanghai University of Engineering Science(No.2016-19)in part by Science and Technology Commission of Shanghai Municipality(No.19030501100)in part by the Shanghai University of Engineering Science Innovation Fund for Graduate Students(No.18KY0613)in part by National Key R&D Program of China(No.2016YFC0802900).
文摘Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector and adaptive space partitioning algorithm to infer traffic accidents quantitatively.Using 2D region proposals in an RGB image,this method generates deformable frustums based on point cloud for each 2D region proposal and then frustum-wisely extracts features based on the farthest point sampling network(FPS-Net)and feature extraction network(FE-Net).Subsequently,the encoder-decoder network(ED-Net)implements 3D-oriented bounding box(OBB)regression.Meanwhile,the adaptive least square regression(ALSR)method is proposed to split 3D OBB.Finally,the reduced OBB intersection test is carried out to detect traffic accidents via separating surface theorem(SST).In the experiments of KITTI benchmark,our proposed 3D object detector outperforms other state-of-theartmethods.Meanwhile,collision detection algorithm achieves the satisfactory performance of 91.8%accuracy on our SHTA dataset.
基金funded by the Basic Science Major Foundation(Natural Science)of the Jiangsu Higher Education Institutions of China(Grant:22KJA520012)the Xuzhou Science and Technology Plan Project(Grant:KC21303,KC22305)the sixth“333 project”of Jiangsu Province.
文摘Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific proposals is proposed to optimize the mathematical model of the correlation filter(CF).Firstly,according to the consistency of the changes between the object frames and the filter frames,the mask matrix is introduced into the objective function of the filter,so as to extract the spatio-temporal information of the object with background awareness.Secondly,the object function of multi-feature fusion is constructed for the object location,which is optimized by the Lagrange method and solved by closed iteration.In the process of filter optimization,the constraints term of time-space perception is designed to enhance the learning ability of the CF to optimize the final track-ing results.Finally,when the tracking results fluctuate,the boundary suppres-sion factor is introduced into the instance-specific proposals to reduce the risk of model drift effectively.The accuracy and success rate of the proposed algorithm are verified by simulation analysis on two popular benchmarks,the object tracking benchmark 2015(OTB2015)and the temple color 128(TC-128).Extensive experimental results illustrate that the optimized appearance model of the proposed algorithm is effective.The distance precision rate and overlap success rate of the proposed algorithm are 0.756 and 0.656 on the OTB2015 benchmark,which are better than the results of other competing algorithms.The results of this study can solve the problem of real-time object tracking in the real traffic environment and provide a specific reference for the detection of traffic abnormalities.
