2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)最新文献_第9页

Wide bandwidth nonlinear 2-DOF energy harvester: Modeling and parameters selection 宽带宽非线性二自由度能量采集器:建模与参数选择

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170413

Abdelhameed A. A. Zayed, Samy F. M. Assal, A. F. El-Bab

{"title":"Wide bandwidth nonlinear 2-DOF energy harvester: Modeling and parameters selection","authors":"Abdelhameed A. A. Zayed, Samy F. M. Assal, A. F. El-Bab","doi":"10.1109/MFI.2017.8170413","DOIUrl":"https://doi.org/10.1109/MFI.2017.8170413","url":null,"abstract":"Harvesting energy from mechanical vibrations to provide power in remote areas where there is no lines of electricity has attracted a great research interest. Linear vibration energy harvesters (VEH) are not able to scavenge energy over broadband of frequencies. The performance of the linear harvesters can be improved using the concept of nonlinearity using magnets which has been extensively studied. In this paper, a 2-DOF nonlinear VEH that can maximize the harvested ambient energy over a wide bandwidth is proposed. In order to achieve those requirements, the design of the proposed VEH is based on; first, the cut-out structure of the 2-DOF system that can provide two resonances with significantly high amplitudes; second, parameters selection based on satisfying the dynamic vibration absorber condition that can avoid the anti-resonance between the two peaks while maximizing the response in between those two peaks; third, proper selection of the distance between the two magnets to widen the bandwidth through adding the nonlinearity to the system. Simulations for the proposed harvester are carried out using MATLAB/Simulink over a wide bandwidth of frequencies. The results show that the proposed harvester can generate adequate voltage of 5 volts across a load of 1 GΩ over a wide range of frequency from 26 to 35 Hz for the proper distance between the two magnets that is based on the system parameters. Also, another frequency range from 5 to 11 Hz is targeted to insure that the proposed design methodology can be generalized.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"324 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581234","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

Fuzzy control implementation in low cost CPPS devices 模糊控制在低成本CPPS器件中的实现

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170423

Carlos A. Garcia, Esteban X. Castellanos, Jorge Buele, J. Espinoza, Carmen Beltran, M. Pilatásig, Eddie D. Galarza, Marcelo V. García

{"title":"Fuzzy control implementation in low cost CPPS devices","authors":"Carlos A. Garcia, Esteban X. Castellanos, Jorge Buele, J. Espinoza, Carmen Beltran, M. Pilatásig, Eddie D. Galarza, Marcelo V. García","doi":"10.1109/MFI.2017.8170423","DOIUrl":"https://doi.org/10.1109/MFI.2017.8170423","url":null,"abstract":"In the present day, industry has been brought closer to the Industry 4.0 paradigm due to its needs of reaching better industrial communications and improving the control process. According to the IIoT concepts, Cyber Physical Production Systems (CPPS) are normally connected to each other, and also connected to the virtual world of global digital networks. By introducing the IEC-61499 standard, CPPS will be allowed to implement flexible, reconfigurable, and distributed controllers. Fuzzy controllers are an advanced control solution that adds certain level of human reasoning to the system, making it possible to obtain a suitable alternative for traditional controllers. Due to the requirement of IEC-61499 of using as controller device an embedded platform, the encapsulation of advanced techniques of control in the algorithms of a systems becomes more simple and efficient. This is why it is necessary to provide the industry with low-cost alternatives who can easily integrate more complex and efficient controllers, making it possible to redirect the CPPS development to a new variety of devices. This paper proposes the development of the Function Blocks (FBs) needed in order to create a distributed control system based on Fuzzy Logic to control an analog process.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124402356","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: 11

Statistical noise reduction for robust human activity recognition 鲁棒人类活动识别的统计降噪方法

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170442

Song-Mi Lee, Heeryon Cho, S. Yoon

引用次数: 4

Oil skimmer and controller monitoring system using IoT technology 采用物联网技术的撇油器和控制器监控系统

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170363

Won-Seok Choi, Dongweon Yoon, TaeEon Kim, Jangmyung Lee

引用次数: 2

The effect of folding on motion flapping wing aero vehicle 折叠对扑翼飞行器运动的影响

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170387

Do Young Kim, D. Yun

引用次数: 2

Fast road boundary detection and tracking in occupancy grids from laser scans 激光扫描占用网格快速道路边界检测与跟踪

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170453

Kolja Thormann, J. Honer, M. Baum

引用次数: 2

Occlusion handling and track management method of high-level sensor fusion for robust pedestrian tracking 面向稳健行人跟踪的高阶传感器融合遮挡处理与轨迹管理方法

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170434

Seong-Geun Shin, Dae-Ryong Ahn, Hyuck-Kee Lee

{"title":"Occlusion handling and track management method of high-level sensor fusion for robust pedestrian tracking","authors":"Seong-Geun Shin, Dae-Ryong Ahn, Hyuck-Kee Lee","doi":"10.1109/MFI.2017.8170434","DOIUrl":"https://doi.org/10.1109/MFI.2017.8170434","url":null,"abstract":"In object tracking field, occlusion situations between objects are important factors that degrade the performance of tracking algorithms. In this paper, we present a track management method in the tracking level to solve the discontinuous tracking problem caused by occlusions between detected objects. This work is performed by predicting the occlusion situation between detected objects and managing the state of tracks based on an approach to track-to-track fusion in a high-level sensor fusion approach using a lidar and a monocular camera sensor. The occlusion prediction is computed by taking into account the width, length, position and azimuth angle of the detected objects. The track management system manages the occlusion state of the track from the result of occlusion prediction as well as the initialization, creation, confirmation and deletion of the tracks. The proposed approach has been verified in the occlusion situation between pedestrians, and our experimental results showed the intended performance in the occlusion situation between pedestrians.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131660432","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: 8

Distributed Kalman filtering with reduced transmission rate 降低传输速率的分布式卡尔曼滤波

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170437

Katharina Dormann, B. Noack, U. Hanebeck

引用次数: 1

Adaptive frame rate pattern projection for structured light 3D camera system 结构光三维相机系统的自适应帧率模式投影

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170367

M. Atif, Sukhan Lee

引用次数: 3

Multi-modal human action recognition using deep neural networks fusing image and inertial sensor data 融合图像和惯性传感器数据的深度神经网络多模态人体动作识别

2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2017-11-01 DOI: 10.1109/MFI.2017.8170441

Inhwan Hwang, Geonho Cha, Songhwai Oh

{"title":"Multi-modal human action recognition using deep neural networks fusing image and inertial sensor data","authors":"Inhwan Hwang, Geonho Cha, Songhwai Oh","doi":"10.1109/MFI.2017.8170441","DOIUrl":"https://doi.org/10.1109/MFI.2017.8170441","url":null,"abstract":"Human action recognition has been studied in many fields including computer vision and sensor networks using inertial sensors. However, there are limitations such as spatial constraints, occlusions in images, sensor unreliability, and the inconvenience of users. In order to solve these problems we suggest a sensor fusion method for human action recognition exploiting RGB images from a single fixed camera and a single wrist mounted inertial sensor. These two different domain information can complement each other to fill the deficiencies that exist in both image based and inertial sensor based human action recognition methods. We propose two convolutional neural network (CNN) based feature extraction networks for image and inertial sensor data and a recurrent neural network (RNN) based classification network with long short term memory (LSTM) units. Training of deep neural networks and testing are done with synchronized images and sensor data collected from five individuals. The proposed method results in better performance compared to single sensor-based methods with an accuracy of 86.9% in cross-validation. We also verify that the proposed algorithm robustly classifies the target action when there are failures in detecting body joints from images.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127073773","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: 15