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2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)最新文献

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MACNet: A Lightweight Face Detector MACNet:一个轻量级的人脸检测器
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00035
Chen Xiya, Qi Shuaihui, Tao Qingzhao, Wei Tiantian
{"title":"MACNet: A Lightweight Face Detector","authors":"Chen Xiya, Qi Shuaihui, Tao Qingzhao, Wei Tiantian","doi":"10.1109/IHMSC52134.2021.00035","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00035","url":null,"abstract":"In order to meet the requirements of face detection between the accuracy and efficiency, a lightweight face detector named MAC-Net, based on fusing context information and extracting feature channel attention is proposed. This network has designed a new block to construct a network. In this new block, we add the context information module and feature channel attention module to enrich features. The image feature pyramid is used to achieve multi-scale features learning. By adding a facial landmark module, the quality of face detection is inproved. Two models of different sizes are trained and tested on datasets such as AFW, FDDB, and PASCAL face. Experiments show that our lightweight algorithms can reach state-of-the-art with an accuracy of 99.28%, 97.0%, and 97.91% on these three datasets respectively. Our lightweight MAC-Net can run at 18 FPS on a CPU device for VGA-resolution images.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115352415","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
The Research on the forecast of tourism demand based on Baidu search index--Taking Beijing as an example 基于百度搜索指数的旅游需求预测研究——以北京市为例
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00029
Yong Huang, Weijing Huang, Shiying Yan, Haoyu Wang, Jinjiang Yan
{"title":"The Research on the forecast of tourism demand based on Baidu search index--Taking Beijing as an example","authors":"Yong Huang, Weijing Huang, Shiying Yan, Haoyu Wang, Jinjiang Yan","doi":"10.1109/IHMSC52134.2021.00029","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00029","url":null,"abstract":"The accurate analysis of tourist volume plays an important role in the scientific management of tourism resources and the formulation of policies by tourism decision makers. The data generated by tourists' online search behavior provide a new perspective for tourism prediction. Based on the six elements of tourism, combined with text analysis, the conceptual framework of Baidu index keywords related to tourist volume is established. The statistical test and correlation analysis of Baidu index keywords were carried out, and the keyword sequences with predictive ability were selected. Then several prediction models are established to predict the number of visitors and optimize the model. Finally, the prediction accuracy of different models is analyzed by using goodness of fit (R2) and mean absolute percentage error (MAPE). It is found that the variable weight combination prediction model based on GBDT has the best effect, $mathrm{R}^{2}$ and MAPE are 0.9943 and 1.78%, respectively.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"54 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192079","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: 2
Construction Method of Triadic Concept Based on Linguistic Term Sets 基于语言词集的三元概念构造方法
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00050
Yonghua Tang, Qiang Fan, Chunmei Chang, Yifan Lu, L. Zou
{"title":"Construction Method of Triadic Concept Based on Linguistic Term Sets","authors":"Yonghua Tang, Qiang Fan, Chunmei Chang, Yifan Lu, L. Zou","doi":"10.1109/IHMSC52134.2021.00050","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00050","url":null,"abstract":"Aiming at the uncertainty of linguistic-valued information among multi-dimensional data, this paper proposes the linguistic-valued triadic contexts and two derivation operations about triadic linguistic concepts. We divide the linguistic-valued triadic contexts into conditional linguistic-valued sub-contexts, to study the relationship between triadic linguistic concepts in the linguistic-valued triadic contexts and conditional linguistic concepts in the conditional linguistic-valued subcontexts. Furthermore, in view of the relationship between them, this paper puts forward a construction method of triadic linguistic concepts with fuzzy attribute. The effectiveness and practicability of this method is illustrated by an example of the evaluation of teaching methods. The proposition of triadic concepts based on linguistic term sets provides a new approach to deal with the uncertainty relationship between three-dimensional and multidimensional data.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130268519","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
A quantum-behaved particle swarm optimization algorithm with self-adaptive elitist crossover 一种自适应精英交叉的量子粒子群优化算法
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00048
Zhenlun Yang, Xue-meng Wei, Meiling Qiu, Kunquan Shi
{"title":"A quantum-behaved particle swarm optimization algorithm with self-adaptive elitist crossover","authors":"Zhenlun Yang, Xue-meng Wei, Meiling Qiu, Kunquan Shi","doi":"10.1109/IHMSC52134.2021.00048","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00048","url":null,"abstract":"A quantum-behaved particle swarm optimization with self-adaptive elitist crossover (EXQPSO) is proposed in this paper. In the proposed EXQPSO algorithm, the crossover operator is performed on the elitist individuals to improve the qualities of the search individuals. Moreover, a self-adaptive scheme is proposed to automatically tune the crossover probability according to the performance of the crossover operator. Experiments on the well-known benchmark test suite showed that the proposed EXQPSO is better than the original QPSO in terms of global search capability and computation efficiency.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133957894","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
Game Analysis in Postgraduate Re-examinations 研究生复试中的博弈分析
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00037
Jingling Shu, Fujiang Sun
{"title":"Game Analysis in Postgraduate Re-examinations","authors":"Jingling Shu, Fujiang Sun","doi":"10.1109/IHMSC52134.2021.00037","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00037","url":null,"abstract":"This paper analyzes the main phenomena of offering or accepting bribes in the re-examinations of postgraduate students, and uses game theory research methods to construct a dynamic game model of incomplete information between the decision-makers of the admissions units and the re-examination examinees. The research results show that the occurrence of corruptions in the re-examinations is not only a personal quality problem, but also related to social environment conditions. Through the analysis of the model, this paper also concludes that timely investigation and punishment of offering or accepting bribes during the enrollment process and strict punishment are the basic ideas to prevent and eliminate corruptions in postgraduate re-examinations.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117312389","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
Design of paint repairing robot system based on point cloud 基于点云的补漆机器人系统设计
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00045
Chun Liu, Zhan-Song Yin, Rui Li
{"title":"Design of paint repairing robot system based on point cloud","authors":"Chun Liu, Zhan-Song Yin, Rui Li","doi":"10.1109/IHMSC52134.2021.00045","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00045","url":null,"abstract":"Car Paint Repair Robot, not as same as paint robot which just need to focus on one kind car type,needs to adapt to lots kinds of vehicle curved surfaces and colour. This highly adaptive requirement makes the design of paint repair robot far more difficult in target tracking, path planning, motion space and other aspects than the painting robot in the automotive manufactory. Therefore, based on the 3D point cloud reconstruction of the vehicle, point cloud data is segmenting, and the eight neighbourhood method, the contour of the closed curved surface are extracted. Then the route path is generated on the surface by the slicing method, and the critical path of each surface is built, and the path planning of eight axis linkage is generated by ant colony algorithm. Then a eight-axis truss robot system is designed and manufactured, the generated path and trapezoidal curve acceleration value are sent to Beckhoff motion controller through ADS protocol to drive the linkages and each joint axis. The experimental results show that the system can automatically control the axis of the robot tool to align the arbitrary surface with the normal vector for different vehicles, and drive the eight axes to track the surface motion smoothly. The system design method can also be widely used in robot machining of various surfaces.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124396014","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
Research on Pre-release Prediction Model of Chinese High Quality Films 中国高质量电影上映前预测模型研究
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00021
Yong Huang, Haoyu Wang, Liangliang Zhao, Feng Wang, Weijing Huang, Jinjiang Yan
{"title":"Research on Pre-release Prediction Model of Chinese High Quality Films","authors":"Yong Huang, Haoyu Wang, Liangliang Zhao, Feng Wang, Weijing Huang, Jinjiang Yan","doi":"10.1109/IHMSC52134.2021.00021","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00021","url":null,"abstract":"By analyzing the big data of Chinese-language films, we can predict high-quality films that are both “good and popular” before they are released. Firstly, collect data of 1876 Chinese-language films released in 2009-2017, and then select indicators that affect box office and score from four aspects: film people, plot, release time and synthesize, propose a prerelease prediction model. Finally, the model is trained by using 6 methods such as Random Forest to predict the “high quality or not” of the films. The results show that the best prediction performance comes from Random Forest, with an accuracy rate of 78.29% and an AUC value of 0.831. The model can provide decision-making reference for investors to invest in high quality films and bring more high quality films to the market.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125840106","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
Study on Situation Evaluation Assessment of Cooperative Searching Target Based on Cloud Theory and Bayesian Network 基于云理论和贝叶斯网络的协同搜索目标态势评估研究
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00049
Y. Sun, Weiguang Zheng, Xiangkui Wu, Yawen Liu
{"title":"Study on Situation Evaluation Assessment of Cooperative Searching Target Based on Cloud Theory and Bayesian Network","authors":"Y. Sun, Weiguang Zheng, Xiangkui Wu, Yawen Liu","doi":"10.1109/IHMSC52134.2021.00049","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00049","url":null,"abstract":"In the process of ASW patrol aircraft cooperative search target, there is a lot of uncertainty in situation evaluation problem. In order to deal with the uncertain information, cloud theory and Bayesian network are introduced, and a method based on cloud Bayesian network is proposed to to deduce the enemy’s operational intention and form the battlefield situation. Firstly, a situation evaluation model of cooperative search target is established. Secondly, the cloud model is used for discretization. After determining the conditional probability table(CPT) of each node and the conversion between certainty and probability, the final situation grade is obtained through the probability composition formula. The simulation results show that the proposed method is reasonable and effective.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"45 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113933459","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
BotCatcher:A Complementary Advantages and Deep Learning Based Scheme for Intrusion Detection BotCatcher:一种优势互补、基于深度学习的入侵检测方案
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00030
X. Jin, Yunlong Xie, Yitao Yin
{"title":"BotCatcher:A Complementary Advantages and Deep Learning Based Scheme for Intrusion Detection","authors":"X. Jin, Yunlong Xie, Yitao Yin","doi":"10.1109/IHMSC52134.2021.00030","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00030","url":null,"abstract":"In today’s society, computer network is one of the most important and advanced infrastructures. The emerging technologies, represented by cloud computing, have brought many new situations and challenges to network security. This paper presents a novel scheme, called BotCatcher, which is based on the fusion and optimization of two different types of existing methods for intrusion detection. There are two models in the scheme: 1) The high-speed mode based on complementary advantages improves the F-Measure by about 0.06 without reducing the detection rate and 2) The high-quality mode based on deep learning combines the historical behavior of hosts and optimizes the detection index for greater performance improvement.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378561","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
Finite-Time Topology Identification of Multi-weighted Coupled Neural Networks with and without Parameter Uncertainties 有无参数不确定性的多加权耦合神经网络有限时间拓扑辨识
2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2021-08-01 DOI: 10.1109/IHMSC52134.2021.00023
Han-Yu Wu
{"title":"Finite-Time Topology Identification of Multi-weighted Coupled Neural Networks with and without Parameter Uncertainties","authors":"Han-Yu Wu","doi":"10.1109/IHMSC52134.2021.00023","DOIUrl":"https://doi.org/10.1109/IHMSC52134.2021.00023","url":null,"abstract":"This paper mainly studies the problem of finite-time topology identification for multi-weighted coupled neural networks with and without parameter uncertainties. By designing the response networks, several parameter adjustment strategies and state feedback controllers, and making use of some inequality techniques, we identify the topology of original networks based on the synchronization property. Finally, an example is given to illustrate the effectiveness of the proposed finite-time topology identification criterion.","PeriodicalId":380011,"journal":{"name":"2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130783029","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: 2
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