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A path planning method based on deep reinforcement learning for crowd evacuation

Journal of Ambient Intelligence and Humanized Computing 2024年第6期15卷 2925-2939页

作者： Meng, Xiangdong Liu, Hong Li, Wenhao School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250014 China

Deep reinforcement learning (DRL) is suitable for solving complex path-planning problems due to its excellent ability to make continuous decisions in a complex environment. However, the increase in the population size in the crowd evacuation path-planning problem causes a substantial computational burden for the algorithm, which leads to an unsatisfactory efficiency of the current DRL algorithm. This paper presents a path planning method based on DRL for crowd evacuation to solve the problem. First, we divide crowds into groups based on their relationship and distance from each other and select leaders from them. Next, we expand the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) to propose an Optimized Multi-Agent Deep Deterministic Policy Gradient (OMADDPG) algorithm to obtain the global evacuation path. The OMADDPG algorithm uses the Cross-Entropy Method (CEM) to optimize policy and improve the neural network’s training efficiency by applying the Data Pruning (DP) algorithm. In addition, the social force model is improved, incorporating the relationship between individuals and psychological factors into the model. Finally, this paper combines the improved social force model and the OMADDPG algorithm. The OMADDPG algorithm transmits the path information to the leaders. Pedestrians in the environment are driven by the improved social force model to follow the leaders to complete the evacuation simulation. The method can use a leader to guide pedestrians safely arrive the exit and reduce evacuation time in different environments. The simulation results prove the efficiency of the path planning method. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Motion planning

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Heuristic algorithm for multi-vehicle ride matching problem

Heuristic algorithm for multi-vehicle ride matching problem

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2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012

作者： Song, Chaochao Wang, Hongguo Ding, Yanhui Yang, Fuping Institute of Management Science and Engineering Shandong Normal University Shandong Province Key Laboratory for Distributed Computer Software Novel Technology Jinan China Institute of Information Science and Engineering Shandong Normal University Shandong Province Key Laboratory for Distributed Computer Software Novel Technology Jinan China

ISBN: (纸本)9781467321068

Multi-vehicle ride matching problem studies how to take passengers as much as possible through optimizing vehicles' route and matching between vehicles and passengers. But at present, problems exist in the researches like that models divorced from reality and low efficiency of algorithms. For this problem, this paper presents a solution based on clustering of vehicles' route order. Transferring the MRMP to RMP through clustering of vehicles' route order, it forms the first matching result between vehicles and passengers. And looking for the best sort order through sorting the first matching result making use of priori clustering. At last, we optimize the solution one times more through optimized rules. Experimental result shows that, the method based on clustering of vehicles' route order can solve the problem with high matching efficiency and low cost. © 2012 IEEE.

关键词： Vehicles

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Personalized gesture interactions for cyber-physical smart-home environments

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Science China(Information Sciences) 2017年第7期60卷 144-158页

作者： Yihua LOU Wenjun WU Radu-Daniel VATAVU Wei-Tek TSAI State Key Laboratory of Software Development Environment Beihang University Mint Viz Research Lab Integrated Center for Research Developmentand Innovation in Advanced MaterialsNanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) & Department of Computer Science University Stefan cel Mare of Suceava

A gesture-based interaction system for smart homes is a part of a complex cyber-physical environment, for which researchers and developers need to address major challenges in providing personalized gesture interactions. However, current research efforts have not tackled the problem of personalized gesture recognition that often involves user identification. To address this problem, we propose in this work a new event-driven service-oriented framework called gesture services for cyber-physical environments(GS-CPE) that extends the architecture of our previous work gesture profile for web services(GPWS). To provide user identification functionality, GS-CPE introduces a two-phase cascading gesture password recognition algorithm for gesture-based user identification using a two-phase cascading classifier with the hidden Markov model and the Golden Section Search, which achieves an accuracy rate of 96.2% with a small training dataset. To support personalized gesture interaction, an enhanced version of the Dynamic Time Warping algorithm with multiple gestural input sources and dynamic template adaptation support is implemented. Our experimental results demonstrate the performance of the algorithm can achieve an average accuracy rate of 98.5% in practical scenarios. Comparison results reveal that GS-CPE has faster response time and higher accuracy rate than other gesture interaction systems designed for smart-home environments.

关键词： gesture interaction personalization gesture recognition user identification event-driven architec ture

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Prolonging Time Synchronized Mesh Protocol network's lifetime by adjusting transmission range and routing graph

Prolonging Time Synchronized Mesh Protocol network's lifetim...

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2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012

作者： Zhen, Yao Duan, Hui-Chuan Qi, Lin School of Information Science and Engineering Shandong Normal University Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

ISBN: (纸本)9781467321068

The Time Synchronized Mesh Protocol (TSMP) uses time synchronization, graph-routing and pre-scheduling of pair-wise communication while cycling through all available pre-divided channels to manage the whole network. With the collision-free network we study the energy-hole problem and discuss how to fix or improve this problem with mathematical analyses. When knowing where the reason lies, we propose an algorithm which can enable the nodes to choose their transmission range and next hop relay in order to adjust energy consumption of nodes in different position of the network. With this ability nodes that have less energy can reduce their work, so do the nodes in the region nearer the sink, thus the lifetime of the network can be prolonged. At last we evaluate this algorithm by means of the NS2 stimulation tools, and the simulation result shows that we finally get a network with relatively longer lifetime. © 2012 IEEE.

关键词： Energy utilization

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PC-BNA: Parallel Convolution Binary Neural Network Accelerator 24

PC-BNA: Parallel Convolution Binary Neural Network Accelerat...

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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Liu, Haihui Zhang, Yuang Zheng, Xiangwei Yu, Mengxin An, Baoxu Liu, Xiaojie School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China

ISBN: (纸本)9798350319934

Binary neural network (BNN) is widely used in speech recognition, image processing and other fields to save memory and speed up computing. However, the accuracy of the existing binarization scheme in the realistic dataset is obviously low, and the input layer uses 32-bit floating point to avoid excessive precision loss, which requires additional computing units and increases the computational burden. Therefore, it is very important to improve the input layer, save computing resources and reduce precision loss. In this paper, we propose a parallel convolution binary neural network accelerator architecture (PC-BNA). Based on our proposed BNN model, we design an efficient field programmable gate array (FPGA) based accelerator. The input of the first layer is binarized, the traditional binary convolution layer is replaced by a parallel binary convolution, and the network building blocks are improved. The experimental results show that the proposed PC-BNA has higher accuracy and better performance on CIFAR-10. The image recognition accuracy is as high as 91.4%, which is superior to the state-of-art of the BNN accelerator. Compared to the state-of-the-art BNN model, when using the same model size, the use of look-up-table (LUT) saves 9.08%, and the digital signal processor (DSP) saves 27.7%. The results suggest that it is promising for PC-BNA in future high performance mobile artificial intelligence applications. © 2022 IEEE.

关键词： Convolution

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Double anomaly detection algorithm based on dendritic cells

Double anomaly detection algorithm based on dendritic cells

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2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Xu, Lian Cheng Xu, Di Zhou, Guang Gang Hou, Xiu Yan Department of Information Science and Engineering Shandong Normal University China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology China

ISBN: (纸本)9783038350996

On the problem of data quantity in anomaly detection, traditional dendritic cell algorithms should be improved by proposing an antigen data preprocessing method which introduced suspected abnormal base. The abnormal data should be judged with high efficiency in the shortest time possible by double anomaly detection. First of all, set of the original data should be preprocessed into individual antigen, and was matched with the suspected abnormal base to conduct the first anomaly detection. Then a double anomaly detection should be conducted by dendritic cell algorithm and the intensity of anomaly be judged according to the dynamic anomaly index. Experiments show that this algorithm produces better effect on both time and accuracy. © (2014) Trans Tech Publications, Switzerland.

关键词： Cells

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A visualization method in virtual educational system

A visualization method in virtual educational system

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zhang, Guijuan Lu, Dianjie Liu, Hong School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

ISBN: (纸本)9789400776173

We present a visualization-based knowledge expression approach for virtual educational system in this paper. Our method allows teachers and students to understand complex algorithms and procedures more intuitively and conveniently during the process of teaching and learning. We take the decision tree and the random forest algorithm in the field of Data mining as examples in this paper. In our method, the decision tree is represented by a virtual 3D tree model that both the structure and the classification results can be showed clearly. In addition, random forest is represented by a group of virtual 3D trees and their positions denote the similarity between the decision trees. We also provide several user-interaction tools in our system. The tools help users to browse the forest, select a tree, delete a tree and even see the detail information of the decision tree. The effective and understandable results show the feasibility of applying visualization method in virtual educational system. © Springer Science+Business Media Dordrecht 2014.

关键词： Visualization

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A electronic voting protocol based on blockchain and homomorphic signcryption

A electronic voting protocol based on blockchain and homomor...

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作者： Qu, Wenlei Wu, Lei Wang, Wei Liu, Zhaoman Wang, Hao School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China Shandong Provincial Key Laboratory for Software Engineering Jinan China

Compared with traditional voting methods, electronic voting can effectively avoid the phenomenon of fraud for personal gains in various links, it is faster and more accurate in the tallying stage. However, many electronic voting systems have many problems such as inability to verify ballots, easy to be forged, and low computing efficiency. We propose an electronic voting protocol based on homomorphic signcryption and blockchain. The protocol makes the voting process public through blockchain and replaces the traditional trusted third party with the smart contract. It uses the homomorphic encryption algorithm and the homomorphic signcryption algorithm to encrypt and sign the ballot and uses their aggregation properties to perform homomorphic tally on the encrypted votes. This not only reduces the excessive burden on the voters but also improves the voting efficiency. At the same time, it can satisfy the security of electronic voting, and the amount of calculation is small, so it is more convenient and flexible to use in large-scale voting. © 2020 John Wiley & Sons, Ltd.

关键词： Smart contract

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An improved cellular genetic algorithm with evolutionary rules for 3D animation modeling design

An improved cellular genetic algorithm with evolutionary rul...

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12th International Conference on computer-Aided Design and computer Graphics, CAD/Graphics 2011

作者： Yang, Xiaopeng Liu, Hong Ding, Yanhui Yu, Hanchao School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China

ISBN: (纸本)9780769544977

In order to inspire and assist designers to create novel 3D animation modelings, an improved cellular genetic algorithm with evolutionary rules is proposed in this paper and applied in 3D animation modeling design. In this algorithm, ACIS rule expressions are used for deforming the initial 3D animation modeling created by Maya or 3D Max, and human-computer interaction which used expert knowledge to determine fitness function values of individuals is adopted to evaluate generated modelings. Tree-structure encoding is used for the generation and evolution of ACIS rule expressions and an evolutionary rule based on expert knowledge is introduced to reduce the number of human-computer interactions. Besides, a prototype system, called 3D Animation Modeling Design System, is developed based on the proposed algorithm. The experimental results show that the proposed algorithm can automatically and efficiently generate a series of creative 3D animation modelings and reduce the number of human-computer interactions to some extent. © 2011 IEEE.

关键词： computer aided design

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The research on portfolio optimization Model and strategy for multiple objectives

The research on portfolio optimization Model and strategy fo...

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IEEE Symposium on Web Society

作者： Shang, Zhaoxia Liu, Hong School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology 250014 China

ISBN: (纸本)9781424463572

Application of multi-objective optimization method, the issue of portfolio risk is analyzed and simulated and the feasibility of the scheme is validated under the uncertain investment environment. Proposed the use of multi-objective optimization genetic algorithm portfolio risk measurement methods, this work educe the estimation Model of Risk-Minimization for Portfolio Investment Using such as Benefits and risks as Target, then gives a specific evolutionary algorithm, and finally,a simulation example. © 2010 IEEE.

关键词： Multiobjective optimization

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