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Special issue on multimedia in technology enhanced learning

Zhihan Lv, Zhihan Lv
2016 Journal of Intelligent & Fuzzy Systems  
Zhihan Lv, SIAT,  ... 
doi:10.3233/jifs-169086 fatcat:ssq3bs5rdjcsrjh522qda4jijq

Moving Vehicle Tracking Optimization Method Based on SPF

Caixia Lv, Xuejing Zhang, Zhihan Lv
2020 Complexity  
In the intelligent transportation system, the license information can be automatically recognized by the computer and the vehicle can be tracked. Red light running, illegal change of lanes, vehicle retrograde, and other illegal driving events are reasonably recorded. This is undoubtedly an effective help for the traffic police to relieve the huge work pressure. However, in China, a considerable number of vehicle tracking methods have certain limitations in resisting complex external
more » ... xternal environmental influences. The external environmental factors include but not limited to variable factors such as camera movement, jitter, and severe rain and snow. These factors cannot be controlled well, so the tracking accuracy is greatly reduced. In regard to this, this paper proposes an optimization method for moving vehicle tracking based on SPF. First, according to the size of the overlapping area of the motion area between the two images, the researcher can construct and simplify the vertex adjacency matrix that reflects the characteristics of the undirected bipartite graph. Then according to the corresponding relationship between the vertex adjacency matrix and the regional behavior and vehicle behavior, the researcher completes the regional behavior analysis and vehicle behavior analysis. On this basis, a particle filter vehicle tracking algorithm based on segmentation compensation is introduced, and the vector sum of the tracked segmentation area is used as the final position of the target vehicle. In this way, as many scattered particles fall on the target area as possible, which will greatly improve the efficiency of particle utilization, enhance tracking accuracy, and avoid the problem of tracking failure caused by too fast vehicle movement. Through experimental simulation, it can be seen that the method proposed in this paper can greatly enhance the vehicle tracking ability when tracking vehicles in "complex environments."
doi:10.1155/2020/8829167 fatcat:oqtyfdqlj5edhd6oxg7touqtcu

Preprint: Bigdata Oriented Multimedia Mobile Health Applications [article]

Zhihan Lv, Javier Chirivella, Pablo Gagliardo
2016 arXiv   pre-print
This is the preprint version of our paper on JOMS. In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user experience in the hyperbaric oxygen chamber by 3D stereoscopic virtual reality glasses and immersive perception. Several HMDs have been tested and compared. The second application is a voice interactive
more » ... voice interactive serious game as a likely solution for providing assistive rehabilitation tool for therapists. The recorder of the voice of patients could be analysed to evaluate the long-time rehabilitation results and further to predict the rehabilitation process.
arXiv:1603.06243v1 fatcat:os53qmjpqjc6rihxpmhndgoswa

3D visual analysis of seabed on smartphone [article]

Zhihan Lv, Tianyun Su, Xiaoming Li, Shengzhong Feng
2015 arXiv   pre-print
We create a 'virtual-seabed' platform to realize the 3D visual analysis of seabed on smartphone. The 3D seabed platform is based on a 'section-drilling' model, implementing visualization and analysis of the integrated data of seabed on the 3D browser on smartphone. Some 3D visual analysis functions are developed. This work presents a thorough and interesting way of presenting seabed data on smartphone, which raises many application possibilities. This platform is another practical proof based
more » ... tical proof based on our WebVRGIS platform.
arXiv:1504.01049v1 fatcat:kdeqjpajsvcnzdkjm7hzvn3xya

Preprint ARPPS Augmented Reality Pipeline Prospect System [article]

Xiaolei Zhang, Yong Han, DongSheng Hao, Zhihan Lv
2015 arXiv   pre-print
This is the preprint version of our paper on ICONIP. Outdoor augmented reality geographic information system (ARGIS) is the hot application of augmented reality over recent years. This paper concludes the key solutions of ARGIS, designs the mobile augmented reality pipeline prospect system (ARPPS), and respectively realizes the machine vision based pipeline prospect system (MVBPPS) and the sensor based pipeline prospect system (SBPPS). With the MVBPPS's realization, this paper studies the
more » ... r studies the neural network based 3D features matching method.
arXiv:1508.04238v1 fatcat:pxgwdzn3xrhgheu22po2onrgzi

Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System

Zhengnan Lv, Zhenghao Xi, Zhihan Lv
2021 Complexity  
Based on the millimetre-wave time-domain channel detector, this paper conducts channel measurement and modelling for different scenarios and antenna types in typical frequency bands and thus carries out a study on the propagation characteristics of millimetre-wave channels in typical frequency bands and scenarios for 5G. The time-varying characteristics and modelling methods of millimetre-wave clusters are studied, and the time-varying channel simulation strategy and linear regression fitting
more » ... egression fitting method are used to establish the time-varying generation and extinction model of clusters by combining the measured data of 26 GHz large-scale antenna channels. The algorithm is based on the correlation dictionary and achieves the efficient and optimal selection of large-scale antenna arrays in the millimetre-wave band. A low-complexity multiuser hybrid precoding design scheme is proposed based on the wideband millimetre-wave large-scale Multiple-Input Multiple-Output (MIMO) system. The scheme aims to maximize the system spectral efficiency and introduces the net spectral efficiency as a bridge to decouple the analogy precoding design from the digital precoding design, thus significantly reducing the computational complexity. In the analogy precoding stage, a Hungarian algorithm-based beam assignment method is proposed to avoid beam conflicts and maximize the net spectral efficiency of the system; in the digital precoding stage, the equivalent channel matrix of each subcarrier is diagonalized to eliminate multiuser interference. Finally, the effectiveness of the scheme is verified by simulation. In this paper, we focus on the radio frequency (RF) link and user selection algorithm of 5G mobile communication system. Through the study of these two aspects, the RF link of our communication system has high stability and reliability, and through the study of the algorithm used for selection, our results also have a strong practical value.
doi:10.1155/2021/1976499 fatcat:lmdcdx5atvbqdieekui2lfo7my

Learn to Model Motion from Blurry Footages [article]

Wenbin Li, Da Chen, Zhihan Lv, Yan Yan, Darren Cosker
2017 arXiv   pre-print
It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects. In this paper we propose a hybrid framework by interleaving a Convolutional Neural Network (CNN) and a traditional optical flow energy. We first conduct a CNN architecture using a novel learnable directional filtering layer. Such layer encodes the angle and distance similarity matrix between blur and camera motion, which is able to enhance the blur features of the
more » ... lur features of the camera-shake footages. The proposed CNNs are then integrated into an iterative optical flow framework, which enable the capability of modelling and solving both the blind deconvolution and the optical flow estimation problems simultaneously. Our framework is trained end-to-end on a synthetic dataset and yields competitive precision and performance against the state-of-the-art approaches.
arXiv:1704.05817v1 fatcat:idmih7ssr5aqflt26rhdnxm7xa

Preprint Virtual Reality Based GIS Analysis Platform [article]

Weixi Wang, Zhihan Lv, Xiaoming Li, Weiping Xu, Baoyun Zhang
2015 arXiv   pre-print
This is the preprint version of our paper on ICONIP2015. The proposed platform supports the integrated VRGIS functions including 3D spatial analysis functions, 3D visualization for spatial process and serves for 3D globe and digital city. The 3D analysis and visualization of the concerned city massive information are conducted in the platform. The amount of information that can be visualized with this platform is overwhelming, and the GIS based navigational scheme allows to have great
more » ... ave great flexibility to access the different available data sources.
arXiv:1508.02024v1 fatcat:6jvikiizpfcsjbmyukvj44jyqe

Study on Mechanical Characteristics of Energy-Absorbing and Anti-Scour Bolts

Zhi Tang, Hao Wu, Jinguo Lv, Zhuangzhuang Xin, Wenbo Zuo, Zhihan Lv
2021 Complexity  
In order to improve the impact resistance and mechanical performance of anchor rods and satisfy the requirements for supporting rockburst roadways, the energy balance equation of the energy-absorbing support and roadway surrounding rock system is established. Moreover, to effectively prevent rockburst disasters, the energy criterion for roadway instability is derived. From the perspective of an energy-absorbing support, a yield-absorbing anti-shock anchor composed of a rod body, tray, constant
more » ... dy, tray, constant resistance energy-absorbing device, and special-shaped nut is designed and developed; compared with ordinary anchor rods, this rod has stronger mechanical properties for resisting impact. Theoretical and numerical simulation studies show that the energy-absorbing device has a repeatable deformation failure mode and a constant yield force. The paper also presents the principle involved in the design of anti-shock bolt supports. The energy-absorbing support not only effectively guides and controls the release and conversion of impact energy but also consumes the impact energy in the buffering process of the anchor to ensure the stability of surrounding rock and support protection system. This study aims to provide reference for roadway support design and to improve rock bolts used in rockburst roadways.
doi:10.1155/2021/8876517 fatcat:34iejw54q5hvfny74wtr5y3nhy

Preprint: Intuitive Evaluation of Kinect2 based Balance Measurement Software [article]

Zhihan Lv, Vicente Penades, Sonia Blasco, Javier Chirivella, Pablo Gagliardo
2015 arXiv   pre-print
This is the preprint version of our paper on REHAB2015. A balance measurement software based on Kinect2 sensor is evaluated by comparing to golden standard balance measure platform intuitively. The software analysis the tracked body data from the user by Kinect2 sensor and get user's center of mass(CoM) as well as its motion route on a plane. The software is evaluated by several comparison tests, the evaluation results preliminarily prove the reliability of the software.
arXiv:1509.06776v1 fatcat:mqzwqthxxneuneksrqfkkbuveq

Foreign Trade Export Forecast Based on Fuzzy Neural Network

Yang Liu, Zhihan Lv
2021 Complexity  
This article first analyzes the significance and methods of foreign trade export forecasting and determines the index system of foreign trade export forecasting by analyzing the results of foreign trade export forecasting research at home and abroad. Subsequently, the related concepts and principles of artificial neural network and fuzzy theory are explained, the types and training algorithms of the fuzzy neural network are introduced, and the neural network and fuzzy theory are combined to
more » ... are combined to establish the prediction model. Finally, according to the characteristics of foreign trade exports, this article comprehensively considers the influence of various factors, applies the fuzzy neural network model to the foreign trade export forecast, introduces the whole process of the establishment of the fuzzy neural network forecasting model in detail, and predicts the change interval of foreign trade exports.
doi:10.1155/2021/5523222 fatcat:dcvm5wgdffcg7hhe6hioyx7bnm

Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm

Hui Li, Zhihan Lv
2021 Complexity  
At present, there is a wide variety of tourism resources on the Internet. Tourism management departments must monitor these resources. At the same time, tourists must also retrieve personalized information that they are interested in. This requires a lot of time and energy. This essay studies and implements the tourism network resource monitoring system. The main work completed in the thesis proposes and constructs a topic collection algorithm and establishes a starting point, topic keywords,
more » ... , topic keywords, and a prediction mechanism. The algorithm includes three stages: the first climbing stage, the learning stage, and the continuous climbing stage. Open category directory search is used for similarity judgment and result evaluation. The experimental results show that with the continuous execution of the crawling process, the collection speed of related pages is getting faster and faster. We propose an algorithm for the extraction of wood based on the density of Internet tourism resources. The algorithm calculates the ratio of Internet tourism resource labels by row and uses a threshold extraction algorithm to distinguish area from private non-Internet tourism resource area. Experimental results show that the algorithm can successfully extract the main content of the article from a wide variety of web pages. This thesis takes the monitoring of tourism network resources as the research object and establishes a tourism network resource monitoring system, which can provide users with customizable, all-round, and real-time tourism network resource collection, extraction, and retrieval services so as to monitor tourism resources. The research results of this article can promote the construction of tourism informatization and can help users grasp the latest tourism information, thereby bringing great convenience to tourism. The system only downloads travel-related information through the use of topic collection technology, reducing the interference of irrelevant redundant web pages.
doi:10.1155/2021/5114802 fatcat:mt5yyadjcjcptnvkehxqff4pyu

Preprint: Bringing immersive enjoyment to hyperbaric oxygen chamber users using virtual reality glasses [article]

Zhihan Lv
2015 arXiv   pre-print
This is the preprint version of our paper on REHAB2015. This paper proposed a novel immersive entertainment system for the users of hyperbaric oxygen therapy chamber. The system is a hybrid of hardware and software, the scheme is described in this paper. The hardware is combined by a HMD (i.e. virtual reality glasses shell), a smartphone and a waterproof bag. The software is able to transfer the stereoscopic images of the 3D game to the screen of the smartphone synchronously. The comparison and
more » ... The comparison and selection of the hardware are discussed according to the practical running scene of the clinical hyperbaric oxygen treatment. Finally, a preliminary guideline for designing this kind of system is raised accordingly.
arXiv:1509.06774v1 fatcat:e6piyla7hrgrxhcsogficoidh4

Image Recognition and Simulation Based on Distributed Artificial Intelligence

Tao Fan, Zhihan Lv
2021 Complexity  
This paper studies the traditional target classification and recognition algorithm based on Histogram of Oriented Gradients (HOG) feature extraction and Support Vector Machine (SVM) classification and applies this algorithm to distributed artificial intelligence image recognition. Due to the huge number of images, the general detection speed cannot meet the requirements. We have improved the HOG feature extraction algorithm. Using principal component analysis (PCA) to perform dimensionality
more » ... dimensionality reduction operations on HOG features and doing distributed artificial intelligence image recognition experiments, the results show that the image detection efficiency is slightly improved, and the detection speed is also improved. This article analyzes the reason for these changes because PCA mainly uses the useful feature information in HOG features. The parallelization processing of HOG features on graphics processing unit (GPU) is studied. GPU is used for high parallel and high-density calculations, and the calculation of HOG features is very complicated. Using GPU for parallelization of HOG features can make the calculation speed of HOG features improved. We use image experiments for the parallelized HOG feature algorithm. Experimental simulations show that the speed of distributed artificial intelligence image recognition is greatly improved. By analyzing the existing digital image recognition methods, an improved BP neural network algorithm is proposed. Under the premise of ensuring accuracy, the recognition speed of digital images is accelerated, the time required for recognition is reduced, real-time performance is guaranteed, and the effectiveness of the algorithm is verified.
doi:10.1155/2021/5575883 fatcat:vjpzauxdcfhbjdj7cwz4x2dfqi

Digital Technology Empowers Grain Supply Chain Optimization Simulation

Xiaoyan Xu, Zhongye Sun, Zhihan Lv
2021 Complexity  
The issue of the balance of food supply and demand has always been the main issue of national and even world food security. There are many factors that affect food supply and demand, and the factors are interrelated. Therefore, it is necessary to study this complex issue in a systematic way in order to provide a reliable theoretical basis for the country to formulate effective policy measures. Based on the analysis of the current situation of grain supply and demand, this paper uses system
more » ... er uses system dynamics (SD) to carry out digital elevation model (DEM) and latitude correction for land surface temperature (LST). The LST, combined with the normalized difference vegetation index (NDVI), has initially constructed a temperature vegetation dryness index (TVDI) model; it has constructed five subsystems including arable land, production capacity, import, population, and consumption. This paper proposes a food supply chain network construction model from the dimensions of the food supply chain network's information flow, logistics, and business flow. Through detailed empirical analysis of each subsystem, we judge the development trend of the total grain system, perform operational tests and historical tests on the simulation results of the model to judge the rationality of the model system structure and simulation prediction, and give the simulation results. Finally, based on the forecast results, targeted countermeasures and suggestions are proposed.
doi:10.1155/2021/6496713 fatcat:mqzyj7jnbzc2vh5uw3yruilhc4
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