Ziheng Qu
Abstract: In recent years, deep learning models have greatly improved the performance of pedestrian detection and tracking. Although the accuracy of neural network-based modeling methods is high, they often require large computational and storage resource overheads, which makes them difficult to apply to robots with high resource requirements. Pedestrian tracking for robots still faces great challenges in the problems of occlusion, multi-target, and target loss. In this thesis, we focus on solving the …
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Yulun Zhang, Chenxu Zhang, Lei Yang, Hongyang Li
Abstract: With the continuous deepening and development of information technology, the diversity and amount of information in data continue to grow. Effectively mining these text data to extract valuable content has become an urgent task in the field of data research. This study combines the MapReduce distributed system with the K-means clustering algorithm to meet the challenges of large-scale data mining. At the same time, the paper use a distributed caching mechanism to solve the problem of repeated …
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Junyu Zhou
Abstract: With the gradual maturity of autonomous driving technology, efficient fusion and processing of multimodal sensor data has become an important research direction. This study mainly explores the strategy of integrating BEV (Bird's Eye View) vision with LiDAR point cloud data. We evaluated the performance and applicability of each of the three main data fusion methods through in-depth comparison: early fusion, mid-term fusion, and late fusion. First of all, we summarize the working principle and …
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Xiankun Hou
Abstract: Artificial intelligence (AI) plus self-driving cars are commonly addressed as one in the technological realm of technology. Simply said, one cannot discuss one without discussing the other. Whilst AI is being implemented at breakneck speed in a multitude of sectors, the manner in which it is applied in the automotive industry has become a sensitive issue. Automakers all around the world are employing artificial intelligence in practically every step of the production process. Examples of AI in …
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Sing Hoi Leo Zhuang
Abstract: The footwear landscape is evolving. Individuals seek a personalized shoe and insole fit for enhanced comfort and health. Historically, footwear sizes were measured manually. This traditional method faced challenges in scalability and precision. The study leveraged big data and machine learning to refine shoe size recommendations. Data was sourced from online platforms, foot scanning devices, and user feedback. Rigorous preprocessing ensured the data's consistency and normalization. Multiple …
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Yuting Sun
Abstract: Sangstan proposed that, in the process of information dissemination, people only focus on the information field that makes them feel comfortable due to the influence of the public's own information needs and interest guidance. As time passes, they will shackle themselves to the cocoon like "cocoon room", which Sangstan called "information cocoon room". As an emerging open social media, microblog provides users with the convenience of information sharing and dissemination, and also creates a …
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Fan Yang
Abstract: Focusing on computational linguistic approaches to English linguistics, this research explores how computational methods can be applied to dissect, understand and utilise the English language. We first looked at text analysis and processing, delving into natural language processing techniques such as text categorisation, sentiment analysis and machine translation, and their application to social media and automated text processing. In the area of lexicography and semantics, we explored how …
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Luoyi Zheng, Zhiyan Lou
Abstract: This paper analyzes the historical sales data of vegetable products in a fresh food supermarket, and explores the automatic pricing and replenishment decision-making scheme of vegetable products in this supermarket. Firstly, we integrate and clean the attached data, and then we solve the characteristics and interrelationships of individual products and categories by establishing SARIMA model and Spearman's correlation coefficient model, and then we use nonlinear regression model, nonlinear …
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Cathy Tu
Abstract: This paper aims to investigate a fractional order prey predator model with group defense and time delay through differential equation linearization theory and predictor-corrector scheme. In this model, we use the Holling-IV functional response, called Monod-Haldane function, for interactions between prey and predator species. Firstly, the uniqueness of the solution to the initial value problem of this system are proved. Secondly, the existence of equilibrium points is discussed, and the Hopf …
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Yu Weng, Xiaomao Sun, Mengjiao Gou, Bohua Liu, Shuang Yang, Zhian Deng
Abstract: As an important part of the gas pipeline safety system, the venting pipe plays a role in protecting the safe operation of the network and reducing the consequences of accidents, and its design feasibility, rationality and safety are particularly important. In China, most of the online simulation software used for gas pipeline network venting simulation is limited to expensive, poorly controllable software and difficult to design for specific working conditions, so the application of dynamic …
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Ziqing Li, Guiliang Feng
Abstract: Passive Internet of Things (IoT) is an emerging IoT technology that enables communication and data exchange between items through various sensors and devices. Sensor nodes do not require built-in batteries or other energy supply devices, but instead use external signals for operation. Radio Frequency Identification (RFID) technology is a simple and low-cost solution for the passive Internet of Things, suitable for scenarios that require simple tracking and monitoring of items. The sensor devices …
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Shaohua Wang, Ting Yang, Shengxiang Ouyang
Abstract: This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling method with SRS sampling and SRS-based adaptive group. The difference between the group sampling and the advantages and scope of the PPS adaptive cluster sampling method are analyzed. According to the case analysis, the relevant conclusions are drawn: 1) The adaptive cluster sampling method is more …
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Jinghao Situ
Abstract: Currently most of image classification tasks are achieved by supervised learning. High-quality datasets naturally bring difficulties in annotation, and the datasets in real-world applications present a nonlinear structure, and the annotation cost grows exponentially with the number of targets and the difficulty of recognisability. In this context, research about unsupervised image classification is the way to go. Traditional unsupervised learning for classification is mostly based on the …
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Huijun Bao
Abstract: A "color revolution" achieves regime change by attacking the weakest link in society, but once the ratio of each link in society is out of balance, it will cause social deformation and thus affect social stability. To study the factors affecting social stability and avoid "color revolutions", it is necessary to establish an effective social stability index system, and on this basis, to build a social stability coefficient model. To establish a complete social stability index system, this paper …
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Fengyang Fu, Shuangling Sun, Yi Liu
Abstract: In order to fill the lack of knowledge graph based on real experimental data from Laboratory Information System (LIS) in the field of medical testing, a method and system for constructing medical testing knowledge graph based on LIS is proposed. The problem of how to obtain rich and accurate literature resources of medical specialty from the real world is solved by building a database and tools such as reasoning machine. Using a large number of clinical laboratory specimens as a data source, …
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Xue Zhang, Jianke Ren, Xin Wang, Lijun Liang
Abstract: Objective To discover the case-mix approach for TCM treatment of dominant disease type 2 diabetes patients and to analyze the hospitalization expense standards for different combinations of patients to provide theoretical references for better participation of TCM hospitals in the DRG payment method as well as reasonable regulation of hospitalization expenses for TCM type 2 diabetes patients in the future. Methods Case data were collected from 1,171 patients discharged with a principal diagnosis …
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Lincheng Ni
Abstract: In this paper, the definition of overlap rate is deduced so as to clarify the influence of overlap rate between the horizontal plane and the slope on the multibeam line measurement problem, and the artificial correction is calculated by taking the average value of the coverage widths of the two times before and after. The expressions for the coverage widths of different lines and their corresponding water depths, slope inclination angles, and transducer opening angles are derived from the …
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Qiang Guo, Huwei Huo
Abstract: The Tianjin Port Water Depth Signal Tower is a navigational aid facility that provides tidal level information. In the last century, it made great contributions to the shipping industry of Tianjin Port and played an indispensable role in local flood control work; However, with the improvement of the accuracy of marine radar sounders, the influence of background lights, the increase of surrounding buildings, and the continuous widening and deepening of navigation channels, it is becoming …
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Jingyi Qian, Huilu Zeng, Guowei Yao, Fanwei Kong
Abstract: With the number of Chinese ships rapidly increasing, the available channels for the Automatic Identification System (AIS) are serious congested. This has led to a sharp rise in collision warnings. The maritime communication System is comprehensively updated from AIS to VHF Data Exchange System (VDES) in order to ensure efficient communication of huge scale, high density maritime ships as well as guarantee marine navigation security. In this paper, the new generation marine navigation security …
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Shengjun Yang, Zhonglan Wu, Xiaohong Li, Yun Hong
Abstract: This paper is supported by the 2022YFG0070 science and technology plan of Sichuan Province. Image feature extraction technology plays a very important role in the measurement and control process of industrial product processing, but for planar micro defects in the background, the current general single shot multibox detector (SSD) has some disadvantages, such as easy loss of feature information, low detection accuracy, and insufficient number of detection feature maps. In view of the above …
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Rong Hu, Yiting Guo, Yunxia Cheng, Yuzhu Zhang, Shuang Liu
Abstract: With the rapid development of information technology, the network health community has become an important way of doctor-patient communication in the new era. As the starting point of the doctor-patient communication process, patient information needs are an important basis for conducting information communication research in online health communities. In this study, we take the question data of medical patients in the "ask and answer" community from the website called "xunyiwenyao" in 2022 as …
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Shijie Zhang, Haihang Li, Hao Sun
Abstract: Based on the analysis of the construction characteristics and passenger behavior characteristics of the standard station platform of rail transit, combined with the actual data, under the environment of the standard station, the distribution law of the platform passengers is studied. Through the change of different flow, the influence of the change on the overall distribution is studied, which provides a new idea and method for the study of the passenger distribution on the standard platform of …
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Yaping Zhang, Dongdong He
Abstract: Today, with the strong return of traditional culture, the integration of the two will deeply affect the protection of traditional handicrafts and the field of cultural communication. The industrialized production mode has gradually replaced the labor-intensive production mode, and handicrafts have gradually faded out of the public consumption field. The brain drain is serious, and many handicrafts with a long history have no successors. Under the background of AI(artificial intelligence) …
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Yingdi Wan
Abstract: Dunhuang Murals are one of China's intangible cultural heritages, which have received extensive attention. Identifying and classifying the dynasties of ancient murals quickly and accurately is extremely important for the study of Dunhuang Murals and the digital protection and inheritance. A method to classify Dunhuang Murals dynasties based on convolutional neural network (CNN) is proposed in this paper. First, the Dunhuang Murals data set is constructed from the mural materials; then, four …
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