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Exploring the tidal effect of urban business district with large-scale human mobility data

Frontiers of Computer Science 2023年第3期17卷 77-90页

作者： Hongting NIU Ying SUN Hengshu ZHU Cong GENG Jiuchun YANG Hui XIONG Bo LANG School of Computer Science and Engineering Beihang UniversityBeijing 100191China Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100086China Baidu Talent Intelligence Center Baidu Inc.Beijing 100085China Business School Imperial College LondonLondon SW72AZUK Artificial Intelligence Thrust The Hong Kong University of Science and TechnologyGuangzhou 510030China

Business districts are urban areas that have various functions for gathering people,such as work,consumption,leisure and entertainment.Due to the dynamic nature of business activities,there exists significant tidal effect on the boundary and functionality of business districts.Indeed,effectively analyzing the tidal patterns of business districts can benefit the economic and social development of a city.However,with the implicit and complex nature of business district evolution,it is non-trivial for existing works to support the fine-grained and timely analysis on the tidal effect of business districts.To this end,we propose a data-driven and multi-dimensional framework for dynamic business district analysis.Specifically,we use the large-scale human trajectory data in urban areas to dynamically detect and forecast the boundary changes of business districts in different time periods.Then,we detect and forecast the functional changes in business districts.Experimental results on real-world trajectory data clearly demonstrate the effectiveness of our framework on detecting and predicting the boundary and functionality change of business districts.Moreover,the analysis on practical business districts shows that our method can discover meaningful patterns and provide interesting insights into the dynamics of business districts.For example,the major functions of business districts will significantly change in different time periods in a day and the rate and magnitude of boundaries varies with the functional distribution of business districts.

关键词： business district trajectory functionality detection tidal effect boundary detection visiting score

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Enhanced Long Short Term Memory for Early Alzheimer's Disease Prediction

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Intelligent Automation & Soft Computing 2023年第2期35卷 1277-1293页

作者： M.Vinoth Kumar M.Prakash M.Naresh Kumar H.Abdul Shabeer Department of Information Science and Engineering Dayananda Sagar Academy of Technology&ManagementKanakapura Main Road560082BangaloreIndia Department of Data Science and Business Systems School of Computing SRM Institute of Science and TechnologyKattankulathurChengalpattu603203TamilnaduIndia Department of ECE Vardhaman College of EngineeringHyderabad501218India IBM India Pvt Ltd. DLF IT ParkChennai600125India

The most noteworthy neurodegenerative disorder nationwide is appar-ently the Alzheimer's disease(AD)which ha no proven viable treatment till date and despite the clinical trials showing the potential of preclinical therapy,a sen-sitive method for evaluating the AD has to be developed yet.Due to the correla-tions between ocular and brain tissue,the eye(retinal blood vessels)has been investigated for predicting the AD.Hence,en enhanced method named Enhanced Long Short Term Memory(E-LSTM)has been proposed in this work which aims atﬁnding the severity of AD from ocular biomarkers.Toﬁnd the level of disease severity,the new layer named precise layer was introduced in E-LSTM which will help the doctors to provide the apt treatments for the patients rapidly.To avoid the problem of overﬁtting,a dropout has been added to LSTM.In the existing work,boundary detection of retinal layers was found to be inaccurate during the seg-mentation process of Optical Coherence Tomography(OCT)image and to over-come this issue;Particle Swarm Optimization(PSO)has been utilized.To the best of our understanding,this is theﬁrst paper to use Particle Swarm Optimization.When compared with the existing works,the proposed work is found to be per-forming better in terms of F1 Score,Precision,Recall,training loss,and segmen-tation accuracy and it is found that the prediction accuracy was increased to 10%higher than the existing systems.

关键词： Alzheimer's disease enhanced LSTM particle swarm optimization OCT image boundary detection

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SOLUTE TRANSPORT IN NATURAL FRACTURES BASED ON DIGITAL IMAGE TECHNOLOGY

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Journal of Hydrodynamics 2009年第2期21卷 219-227页

作者： TAN Ye-fei ZHOU Zhi-fang HUANG Yong College of Civil Engineering Hohai University Nanjing 210098 China The Department of Geoscience College of Science University of Nevada Las Vegas 89154 USA

A method of fracture boundary extraction was developed using the Gaussian template and Canny boundary detection on the basis of the collected digital images of natural fractures. The roughness and apertures of the fractures were briefly discussed from the point of view of digital image analysis. The extracted fractured image was translated into a lattice image which can be directly used in numerical simulation. The lattice Boltzmann and modified moment propagation mixed method was then applied to the simulation of solute transport in a natural single fracture, and this mixed method could take the advantages of the lattice Boltzmann method in dealing with complex physical boundaries. The obtained concentrations was fitted with the CXTFIT2.1 code and compared with the results obtained with the commercial software Feflow. The comparison indicates that the simulation using the mixed method is sound.

关键词： fracture solute transport digital image transaction boundary detection lattice Boltzmann method modified moment propagation method

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A New Kind of Filtered Method and Rendering of Medical Ultrasound Data

A New Kind of Filtered Method and Rendering of Medical Ultra...

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第七届国际信号处理会议

作者： Jing Fang Yang Xiao Shao-hai Hu Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P. R. China E-mail: shanshifangjing@*** yxiao@***

Limited research has been done on applications of rendering techniques in medical ultrasound imaging because of the difficulties in separating the reflected waves and the dissipated waves. We prop

关键词： Imaging rendering boundary detection maximum value projection average value projection distance to maximum value center of gravity gradient magnitude projection enhancement of the distant field

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Real-time Motion Planning and Control for a Formula Student Driverless Car

Real-time Motion Planning and Control for a Formula Student ...

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2020中国汽车工程学会年会暨展览会

作者： Chen Tairan Gao Xinyu Huang Chenrui Li Xiang Yang Shaokun Gong Hailong Feng Yunji Beijing Institute of Technology

This paper presents a planning and control pipeline for an autonomous race car to drive around a track that may not be previously known for three laps.In the case of a limited perception range in the first lap,boundary detection and motion planning separately extract and optimize the trajectory to minimize the trajectory curvature.After finishing the mapping,multi-strategy NMPC is used to optimize or track the trajectory.We use the real-world map data from Formula Student Autonomous China 2019 for experiments.The experiment shows that under the same vehicle model,the system can significantly improve the performance of the race car.

关键词： boundary detection motion planning model predictive control Formula Student Autonomous China

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