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2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)最新文献

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Design of A Cloud Native-Based Integrated Management Platform for Smart Operation of Multi-Business Buildings 基于云原生的多商业楼宇智能运营综合管理平台设计
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/ihmsc55436.2022.00047
Hongbo Lang, Huan Tian, Daping Li, Ziyang Niu, Lijun Wen
{"title":"Design of A Cloud Native-Based Integrated Management Platform for Smart Operation of Multi-Business Buildings","authors":"Hongbo Lang, Huan Tian, Daping Li, Ziyang Niu, Lijun Wen","doi":"10.1109/ihmsc55436.2022.00047","DOIUrl":"https://doi.org/10.1109/ihmsc55436.2022.00047","url":null,"abstract":"Building operation and maintenance (OM) faces many challenges, such as a low level of digitization, data silos between subsystems, a large amount of unusable data of which the value has never been demonstrated. To solve these problems, a smart operation integrated management platform architecture based on cloud-native and middle platform is proposed. This study built a unified technical base by integrating a BIM lightweight engine, an IoT middle platform and an AI middle platform, to unify the technical architecture and data interaction among different operation subsystems. A platform architecture based on cloud-native technologies was introduced to maximize the utilization of enterprise computing resources and to achieve agility in the development, testing and deployment of intelligent business applications, a low-code rapid development platform was also deployed to realize the visualization, low-code and modularization of application development. By adopting above architecture designing techniques and technologies, the digitization of building project OM in a traditional company can be improved, a cost reduction and productivity increase can also be realized to boost a transformation and upgrading of business.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116896297","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
RGB-D SLAM Method Based on Object Detection and K-Means 基于目标检测和K-Means的RGB-D SLAM方法
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00031
Han Wang, A. Zhang
{"title":"RGB-D SLAM Method Based on Object Detection and K-Means","authors":"Han Wang, A. Zhang","doi":"10.1109/IHMSC55436.2022.00031","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00031","url":null,"abstract":"Aiming at the problem that the traditional visual simultaneous localization and mapping (SLAM) algorithm is easily affected by moving targets in dynamic environment, which leads to the degradation of system localization accuracy, a visual SLAM algorithm based on object detection and K-Means is proposed for application in dynamic environment. It incorporates the YOLOv5n object detection network with the addition of a leak detection judgment and repair algorithm and the K-means clustering algorithm, which effectively rejects dynamic objects in images and maximizes the retention of static information. Experiments on publicly available datasets show that the error of this paper's method is smaller than that of other SLAM algorithms applied in dynamic environments, and it can guarantee real-time operation.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769966","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
Recognition of Lower Limb Motions via Surface Electromyography 通过表面肌电图识别下肢运动
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00049
Hongyu Zhao, Zhibo Qiu, Zhelong Wang, S. Qiu, Fang Lin, Xin Shi, Yongmei Jiang, Cui Wang, Wanxia Zhang
{"title":"Recognition of Lower Limb Motions via Surface Electromyography","authors":"Hongyu Zhao, Zhibo Qiu, Zhelong Wang, S. Qiu, Fang Lin, Xin Shi, Yongmei Jiang, Cui Wang, Wanxia Zhang","doi":"10.1109/IHMSC55436.2022.00049","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00049","url":null,"abstract":"Wearable exoskeleton can help people with mobility impairments, such as stroke and amputation patients, to improve their rehabilitation. Traditional exoskeleton control signals include plantar pressure and joint angle. These signals can only reflect the current state and human motion, but cannot predict the motion. As electromyography (EMG) signal occurs before the motion, it can be used as the input signal to predict the subject's motion intention. In this paper, EMG signals are used to identify human lower limb motions, and different algorithms are compared to find the most suitable one for motion recognition. Seven types of lower limb motions are involved, i.e., walking, going upstairs, going downstairs, walking uphill, walking downhill, squatting, and standing. The surface EMG signals from 6 muscles are measured, i.e., rectus femoris, vastus lateralis, semitendinosus, biceps femoris, gastrocnemius, and tibial anterior. Butterworth filter and wavelet threshold are used to denoise the raw EMG signals, and support vector machine (SVM), C4.5 decision tree, and backpropagation (BP) neural network are used to recognize the different motions. To improve the accuracy and speed of recognition, principal component analysis (PCA) is adopted to reduce the feature dimensionality. Before dimensionality reduction, the BP neural network shows the highest accuracy, i.e., up to 97.32%, but it takes 17.205 seconds on average. After dimensionality reduction, the computational cost of each algorithm is significantly reduced; and instead, the SVM shows the highest accuracy, i.e., up to 97.44%, and it takes only 0.004 seconds. The results show that the combination of SVM and PCA has the best performance in lower limb motion recognition.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129554022","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
Lane Detection Based on Deep Learning and SSIM Method 基于深度学习和SSIM方法的车道检测
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00020
Chao Ren, Xiuling Huang, H. Ogai
{"title":"Lane Detection Based on Deep Learning and SSIM Method","authors":"Chao Ren, Xiuling Huang, H. Ogai","doi":"10.1109/IHMSC55436.2022.00020","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00020","url":null,"abstract":"Lane detection is an important part of autonomous driving techniques and is required to have high accuracy and robustness. However, due to the complicated change of weather and lighting, environmental effects such as fog, and the shape of the straight lane and curved lane, the application scenarios of lane detection are limited. To solve the above problems, we propose a novel lane detection method using deep learning and SSIM method to aim at challenging scenarios. The proposed method can detect lane using two deep learning detection methods in parallel. Then using the structural similarity index measure (SSIM) image similarity detection method to compare with the labeled actual lanes from ground truth and select the more accurate result as the output. Experiments showed that the lane recognition rate is high, and the speed is fast in various complex scenarios. The proposed method can improve the accuracy and robustness of lane detection.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332898","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
Comparing the Design Quality and Efficiency between Design Intelligence and Intermediate Designers 智能设计人员与中级设计人员设计质量与效率的比较
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00050
Jiang Xu, Han Lu
{"title":"Comparing the Design Quality and Efficiency between Design Intelligence and Intermediate Designers","authors":"Jiang Xu, Han Lu","doi":"10.1109/IHMSC55436.2022.00050","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00050","url":null,"abstract":"Design intelligence is to adapt and introduce artificial intelligence methods to design tasks. SmartPaint is a typical design intelligence system to generate paintings, and its improved version further considers the causal relation between objects in a scene and is trained with a larger dataset with over one million artwork samples. In this paper, we compare the improved SmartPaint with 12 intermediate designers on a controlled painting task. The intermediate designers have been working in the design and related industries for over two years. The comparison is about design quality and efficiency, evaluated by 20 volunteers. Empirically we find over 50% of the paintings generated by SmartPaint are more preferred than those drawn by human designers along creativity, artistic quality and color scheme. Besides, SmartPaint takes only less than 1% of the time spended by human designers.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127857410","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
Deep Learning for Prediction of Population of Acetes in Avoiding Biological Hazards for Nuclear Power Plants 基于深度学习的核电站生物危害生物种群预测
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00055
Li Dai, Rongyong Zhang, S. Huang, Junyi Liu, Qi Li, Zhen Zhang, Xinshu Jiang, Zengchang Qin
{"title":"Deep Learning for Prediction of Population of Acetes in Avoiding Biological Hazards for Nuclear Power Plants","authors":"Li Dai, Rongyong Zhang, S. Huang, Junyi Liu, Qi Li, Zhen Zhang, Xinshu Jiang, Zengchang Qin","doi":"10.1109/IHMSC55436.2022.00055","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00055","url":null,"abstract":"There have been frequent incidents of water intake blockage due to marine organisms, which pose a serious threat to the normal operation of nuclear power plants across the world. In order to avoid biological hazards for Nuclear Power Plants, we investigated the disaster-caused marine organism. In this work, we focus on the acetes, which is the main cause of the accident. By investigating the biological characteristics of acetes, we have established a mathematical model of the population dynamics of acetes. We have also utilized two deep learning methods, LSTM and Transformer, to predict the population density of acetes. Finally, we have also compared the two methods. As a result, we find that LSTM performs better and it can be used for data-based dynamical modeling in future work.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129189601","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
Exploration of Multiple Fusion Digital Intelligences Talent Training Mode under the Background of "Artificial Intelligence + New Engineering" “人工智能+新工程”背景下多元融合数字智能人才培养模式探索
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00028
Caiyun Xu, Qinglin Wu
{"title":"Exploration of Multiple Fusion Digital Intelligences Talent Training Mode under the Background of \"Artificial Intelligence + New Engineering\"","authors":"Caiyun Xu, Qinglin Wu","doi":"10.1109/IHMSC55436.2022.00028","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00028","url":null,"abstract":"With the rapid development of new generation technologies such as artificial intelligence, cloud computing, 5G and big data, it is deeply integrated with the real economy. \"Digital enterprise\" is accelerating the transformation to \"digital intelligent enterprise\".Great changes have taken place in the demand for talents in the development of digital intelligence in modern industries, which promotes the deepening reform of education. Such as university personnel training target positioning, curriculum system, teaching model and so on. In order to meet the talent demand of the development of digital intelligence industry, the talent training mode under the background of \"artificial intelligence + new engineering\" is explored, the concept of multi-fusion training is proposed to achieve the integration of multi-party high-quality resources, Deepen school enterprise cooperation and jointly create an integrated experimental platform for \"industry university research innovation\",and improve the quality of digital intelligence talent training.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116374489","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
An Interactive Manta Ray Foraging Optimization Algorithm with Hierarchical Population Structure 基于分层种群结构的交互式蝠鲼觅食优化算法
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00030
Tao Zheng, Kaiyu Wang, Jiayi Li, Yuki Todo, Shangce Gao
{"title":"An Interactive Manta Ray Foraging Optimization Algorithm with Hierarchical Population Structure","authors":"Tao Zheng, Kaiyu Wang, Jiayi Li, Yuki Todo, Shangce Gao","doi":"10.1109/IHMSC55436.2022.00030","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00030","url":null,"abstract":"The manta ray foraging optimization (MRFO) algorithm is a meta-heuristic method derived by imitating the behavior inspired by manta rays foraging. However, due to the lack of communication among individuals in the population, it suffers from the local optimum trapping problem. In this study, we innovatively propose a hierarchical population structure for it by adding an information interaction layer to the original MRFO population, namely an interactive manta rays foraging optimization (IMRFO) algorithm. In it, the hierarchical population structure successfully realizes the balance between local exploitation and global exploration. The superiority of IMRFO is confirmed in terms of solution quality, convergence speed, population diversity, and search trajectory by experimental findings based on thirty IEEE CEC2017 benchmark functions in comparison with other state-of-the-art meta-heuristic methods.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126884714","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 Gradient Characterization of Semistrictly E-Preinvex Function 半严格e -预凸函数的梯度表征
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/ihmsc55436.2022.00018
Wang Hai-ying, Fu Zu-feng, Wang Jinquan, Tan Bing
{"title":"The Gradient Characterization of Semistrictly E-Preinvex Function","authors":"Wang Hai-ying, Fu Zu-feng, Wang Jinquan, Tan Bing","doi":"10.1109/ihmsc55436.2022.00018","DOIUrl":"https://doi.org/10.1109/ihmsc55436.2022.00018","url":null,"abstract":"In this paper, we consider the class of semistrictly E-preinvex functions, using condition C and some other conditions, we have obtained a gradient characterization of the semistrictly E-preinvex function for the first time. This provides a new idea for studying the semistrictly E-preinvexity.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"449 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123628643","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
Robust Attitude Tracking of an Uncertain UCAV in a Complex Environment 复杂环境下不确定无人飞行器的鲁棒姿态跟踪
2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Pub Date : 2022-08-01 DOI: 10.1109/IHMSC55436.2022.00017
Jiafan He, Yiming Mao, Z. Xia, Qingwei Li, Feng Fang, Aiguo Fei
{"title":"Robust Attitude Tracking of an Uncertain UCAV in a Complex Environment","authors":"Jiafan He, Yiming Mao, Z. Xia, Qingwei Li, Feng Fang, Aiguo Fei","doi":"10.1109/IHMSC55436.2022.00017","DOIUrl":"https://doi.org/10.1109/IHMSC55436.2022.00017","url":null,"abstract":"The chief objective of this paper is to address the problem of robust attitude tracking of an unmanned combat aerial vehicle (UCAV) with uncertain inertia matrix in battlefield environment. As we all known, the environment is complicated due to the combination of lots of unknown external disturbance torques that effects on the UCAV. Thus, for the mathematical model of an unertain UCAV, we carry out this study based on a specific attitude deviation system having input-to-state stable inverse dynamics. This facilitates error-based output feedback controller synthesis by regulation theory based on a nonlinear internal model approach, steering tracking error vanishes asymptotically and guaranteeing precise tracking performance. As a consequence of integral input-to-state stability (iISS) based design, we achieve not only asymptotic attitude tracking with unknown harmonic disturbance rejection, but also robustness property with respect to unknown inertia matrix and unmodeled disturbance. Finally, numerical simulation results are shown for illustration.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125025115","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
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