2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)最新文献

Research on Equivalent Modeling of Wind Farm Based on Error Correction Method 基于误差校正方法的风电场等效建模研究

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970684

Jianfeng Dai, Cangbi Ding, Lin Liu

引用次数: 2

Research on Underwater Image Enhancement Algorithm Based on SRGAN 基于SRGAN的水下图像增强算法研究

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970668

Zhiming Zhang, Lina Jin, Tianzhu Gao

引用次数: 1

Precise Positioning Model of Back Propagation Neural Network Based on Genetic Algorithm Optimization 基于遗传算法优化的反向传播神经网络精确定位模型

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970635

Wenzhou Li, Mingzhang Luo, Cong Xu, G. Li

{"title":"Precise Positioning Model of Back Propagation Neural Network Based on Genetic Algorithm Optimization","authors":"Wenzhou Li, Mingzhang Luo, Cong Xu, G. Li","doi":"10.1109/ICCSI55536.2022.9970635","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970635","url":null,"abstract":"Damage identification and location is a critical problem in structural health monitoring. The fundamental idea is to employ features like amplitude thresholds and signal timing differences to identify and localize structural damage by acquiring anomalous signals brought on by damage. The method proposed in this paper addresses the shortcomings of existing localization methods, such as slow localization efficiency, low localization accuracy, and poor model generalization. Firstly, by employing data cleaning principles to clean invalid data, then the decision tree classification model is used to distinguish the presence of interference signals, and finally, the BP neural network localization model based on genetic algorithm optimization is established to identify and localize the damage. Both signal interference and no signal interference were used in the studies with pulsed radio transmission. By changing the position of the anchor point of the excitation signal and the target point of the acquisition signal, the distance data from the anchor point to the target point at different locations was collected using the time of arrival (TOF) based ranging principle, and the validity of the positioning model was finally verified. Without taking into account the location of the target and anchor, the model can precisely identify and localize damage. It can be used as a reference for further structural health monitoring studies, with good prospects for application.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115101547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Active Queue Management Based on Q-Learning Traffic Predictor 基于q -学习流量预测器的主动队列管理

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970698

Jingyun Liu, Debin Wei

{"title":"Active Queue Management Based on Q-Learning Traffic Predictor","authors":"Jingyun Liu, Debin Wei","doi":"10.1109/ICCSI55536.2022.9970698","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970698","url":null,"abstract":"With the rapid development of 5G and the Internet of Things, billions of smart devices will be connected to the network, the Internet will be more heterogeneous and complex, and network traffic will further increase. How to better manage queues and reduce congestion while meeting users' requirements for low network latency and high throughput is an urgent problem that needs to be solved. The traditional AQM algorithm adjusts the packet drop probability according to the current and previous network traffic intensity, network load, queue length, queuing delay and other factors. In the face of a network environment with drastic changes in network traffic, the shortcomings of its relative lag and difficulty in responding quickly to traffic changes are more obvious, resulting in an increase in the number of congestion occurrences, an increase in the packet loss rate of the link, and difficulty in ensuring the utilization rate. This paper proposes an active queue management algorithm QP-AQM algorithm based on Q-learning traffic predictor. It uses Markov decision process to model network traffic, and uses improved Q-Learning algorithm to predict network traffic, then convert the traffic prediction result into the prediction value of the average queue length, and use the prediction result to adaptively modify the parameters in the ARED algorithm, which solves the problem of poor performance of the ARED algorithm when dealing with highly congested links, and further improves the AQM algorithm. throughput and latency performance.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129732955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on Optimal Decision-making of Flexible Load Based on Future Risk Section 基于未来风险截面的柔性负荷优化决策研究

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970613

X. Lou, Ke Yang, Feifei Sun, Jiahua Liu, Min Lu, Zhiquan Meng, Lizhong Xu

{"title":"Research on Optimal Decision-making of Flexible Load Based on Future Risk Section","authors":"X. Lou, Ke Yang, Feifei Sun, Jiahua Liu, Min Lu, Zhiquan Meng, Lizhong Xu","doi":"10.1109/ICCSI55536.2022.9970613","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970613","url":null,"abstract":"With the development of new energy scale and the change of power grid characteristics, the dispatch space of traditional regulation resources is getting smaller and smaller, and it is urgent to effectively expand the power grid regulation resources and promote the transformation of the traditional model of “ source following load” to the collaborative mode of “source-load interaction”. In this paper, in view of the problem of section limitation, future risk identification and load optimization decision-making techniques are proposed. Based on the adjustment of original unit and transfer mode, a hierarchical grading aggregation method for schedulable load is proposed, and a linear optimization algorithm for minimizing removing load is designed according to the sensitivity of the load side to the section, and expand the resource adjustment under local section constraint. Zhejiang Power Grid has carried out marketing side and millions-seconds-level resource aggregation, and verified this method for frequently restricted sections, reducing the time for cross-sections to exceed the limit.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Petri Nets and Hierarchical Reinforcement Learning for Personalized Student Assistance in Serious Games Petri网和层次强化学习在严肃游戏中的个性化学生援助

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970680

Ryan Hare, Ying Tang

{"title":"Petri Nets and Hierarchical Reinforcement Learning for Personalized Student Assistance in Serious Games","authors":"Ryan Hare, Ying Tang","doi":"10.1109/ICCSI55536.2022.9970680","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970680","url":null,"abstract":"Adaptive serious games offer a new frontier for education, especially in complex topics. However, optimal methods for in-game adaptation are still being explored to address challenges such as limited educator resources, unpredictable or limited data, or complicated implementation procedures. This work offers an adaptable framework for personalized student assistance and directing within an adaptive serious game using reinforcement learning and Petri nets. Our proposed framework can be built upon by serious game developers and researchers to create adaptive serious games for improving student learning in other domains. Building on prior work, we address the challenge of adaptive in-game content through Petri net player modelling and a multi-agent deep reinforcement learning approach to gradually learn optimal personalized assistance. Finally, we provide proof-of-concept training performance for our proposed agent using a student simulation, demonstrating that the proposed hierarchical reinforcement learning approach offers significantly (effect size r = 0.8101) improved training performance over a tabular, single-agent approach.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130399668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Adaptive Kalman Filter for Near Space Hypersonic Vehicle Tracking 近空间高超声速飞行器跟踪的自适应卡尔曼滤波

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970639

Lei Xu, Jun Wang, Manling Li, Junqiang Yang

{"title":"An Adaptive Kalman Filter for Near Space Hypersonic Vehicle Tracking","authors":"Lei Xu, Jun Wang, Manling Li, Junqiang Yang","doi":"10.1109/ICCSI55536.2022.9970639","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970639","url":null,"abstract":"Considering the characteristic of periodic ski-jump flight in the cruising stage of near space hypersonic vehicles, Sine-Jerk model is studied in this paper. Compared with other models, the Sine-Jerk model can further improve the matching degree of strongly maneuvering targets with periodicity. In practice, target maneuver angular rate is often unknown or even variable. When the actual maneuvering angular velocity deviates greatly from the preset value, the tracks filtering results will have deviation or even divergence. Therefore, in order to solve the above problems, this paper proposes a parameter adaptive Kalman filter algorithm, which can still have high tracking accuracy when the target angular rate changes. According to the filtering innovation, the algorithm judges whether the actual angular rate of the target matches the preset model and adaptively adjusts the filtering parameters by using the double-window detection method, so that the filtering gain matrix and the prediction error covariance can change adaptively with the change of the measurement residual. Compared with the Kalman filter algorithm with fixed tracking parameters, it is proved that the proposed algorithm has better filtering effect on the ski-jump maneuvering target in near space.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Scope Feature Extraction for Point Cloud Completion 点云补全的多范围特征提取

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970616

Wuwei Ma, Qiufeng Wang, Kaizhu Huang, Xiaowei Huang

引用次数: 0

Collide Detection, Reaction and Implementation for Excavator Arm 挖掘机臂的碰撞检测、反应与实现

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970687

Chao Yang, Houxue Ma, Bin Zhao, Ruiqi Song, Yunfeng Ai

引用次数: 0

Circle Formation Control for Multi-agent Systems with Connectivity Preservation 具有连通性的多智能体系统的圆形成控制

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970673

Jin Wu, C. Song, Lu Li

引用次数: 0