2020 IEEE Sensors Applications Symposium (SAS)最新文献_第4页

An Efficient Multi-AMR Control Framework for Parcel Sorting Centers 一个高效的包裹分拣中心多amr控制框架

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220043

Chee-Henn Ch’ng, S. Liew, C. Wong, B. Ooi

{"title":"An Efficient Multi-AMR Control Framework for Parcel Sorting Centers","authors":"Chee-Henn Ch’ng, S. Liew, C. Wong, B. Ooi","doi":"10.1109/SAS48726.2020.9220043","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220043","url":null,"abstract":"With the growth of eCommerce activities, there is an urgent need for robust logistics solutions to ensure mass and speedy parcel delivery. Upon the parcels are collected, one of the main issues is how to sort a large number of parcels efficiently. One of the solutions is to automate the sorting process in sorting centers by using autonomous mobile robots (AMRs). This paper investigates this solution and studies the multi-AMR control framework for automated parcel sorting centers. In the literature, various frameworks have been proposed for controlling multiple mobile robots under different scenarios. However, most of these existing frameworks may not be well-suited to the automated sorting center environment because the automated sorting center might contain a considerable number of robots moving at high speed. Thus, the routing decision of each robot and the traffic control would need to be done in real-time in order to alleviate congestion to increase the throughput. In this paper, an efficient framework is proposed for automated sorting centers in order to support many high-speed robots. In particular, the proposed framework uses two-layer hierarchical architecture, where all AMRs are considered as the clients of a centralized server. However, unlike traditional server/client architecture, the decision modules in the proposed framework are distributed between the server and clients. Such a design can shift some computationally expensive algorithms from the server-side to the client-side, and thus it is more scalable. The simulation results show that the proposed framework can achieve excellent results. For example, in a sorting center with an area of 2025m2, 410 robots are deployed, and they can handle nearly 30,000 parcels in an hour with our proposed framework. Finally, this paper also explores the various possibilities to enhance the framework further.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129551002","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 comparative study of LSTM and ARIMA for energy load prediction with enhanced data preprocessing 基于增强数据预处理的LSTM与ARIMA能源负荷预测的比较研究

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220021

Innocent Mpawenimana, A. Pegatoquet, Valérle Roy, Laurent Rodriguez, C. Belleudy

引用次数: 11

Cloud based Low-Power Long-Range IoT Network for Soil Moisture monitoring in Agriculture 基于云的低功耗远程物联网农业土壤湿度监测

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220017

S. S. Bhattacherjee, Shreeshan S, G. Priyanka, A. Jadhav, P. Rajalakshmi, J. Kholová

引用次数: 6

Phase based Time Resolved Reflectance Spectroscopy using Time-of-Flight Camera for Fruit Quality Monitoring 基于相位的时间分辨反射光谱飞行时间相机在水果品质监测中的应用

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220081

M. Sarkar, M. Assaad, N. Gupta

引用次数: 2

An RGB/Infra-Red camera fusion approach for Multi-Person Pose Estimation in low light environments 低光环境下RGB/红外相机融合多人姿态估计方法

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220059

Viviana Crescitelli, Atsutake Kosuge, T. Oshima

{"title":"An RGB/Infra-Red camera fusion approach for Multi-Person Pose Estimation in low light environments","authors":"Viviana Crescitelli, Atsutake Kosuge, T. Oshima","doi":"10.1109/SAS48726.2020.9220059","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220059","url":null,"abstract":"Enabling collaborative robots to predict the human pose is a challenging, but important issue to address. Most of the development of human pose estimation (HPE) adopt RGB images as input to estimate anatomical keypoints with Deep Convolutional Neural Networks (DNNs). However, those approaches neglect the challenge of detecting features reliably during night-time or in difficult lighting conditions, leading to safety issues. In response to this limitation, we present in this paper an RGB/Infra-Red camera fusion approach, based on the open-source library OpenPose, and we show how the fusion of keypoints extracted from different images can be used to improve the human pose estimation performance in sparse light environments. Specifically, OpenPose is used to extract body joints from RGB and Infra-Red images and the contribution of each frame is combined by a fusion step. We investigate the potential of a fusion framework based on Deep Neural Networks and we compare it to a linear weighted average method. The proposed approach shows promising performances, with the best result outperforming conventional methods by a factor 1.8x on a custom data set of Infra-Red and RGB images captured in poor light conditions, where it is hard to recognize people even by human inspection.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127677892","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: 3

Metrology in eye pressure measurements 眼压测量的计量学

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220014

P. Pavlasek, J. Rybar, S. Duris, B. Hucko, J. Palencár, M. Chytil

{"title":"Metrology in eye pressure measurements","authors":"P. Pavlasek, J. Rybar, S. Duris, B. Hucko, J. Palencár, M. Chytil","doi":"10.1109/SAS48726.2020.9220014","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220014","url":null,"abstract":"Measurements and their precision are crucial for many fields of industry and services that have a direct impact on the quality, safety and reliability of products and applications. One of the areas that have a particular effect on national finances and people is the medical sector. The reliability and precision of the measured quantities have a direct and significant effect on the final diagnosis of a patient. An unrepresentative measurement of subject’s true essential indicators like blood pressure, body temperature or heart rate could lead to false diagnosis and incorrect or unnecessary treatment. This can in most serious cases result in a decrease of a patients quality of life and even in shortened live span. The treatment brings of course financial and social aspects that all affects the country’s economy negatively. This paper focuses on the improvement of medical measurements by applying metrological procedures that enable a more precise and reliable measurements. The subject of these efforts is the measurement of eye pressure by non-contact means that are an initial diagnostic indicator for the development of eye glaucoma. The general problematic of the measurements together with the theoretical and practical solution by means of a standard is presented.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116697799","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

Accurate Perception for Autonomous Driving: Application of Kalman Filter for Sensor Fusion 自动驾驶的精确感知:卡尔曼滤波在传感器融合中的应用

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220083

Yaqin Wang, Dongfang Liu, E. Matson

引用次数: 0

A Radial Basis Function Technique for the Early Detection and Measurement of Hip Implant Loosening 基于径向基函数技术的髋关节假体松动早期检测与测量

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220036

Alexander Wiese, Ann DiGuglielmo, Jerico Mellet, Mckayla Rebillon, S. Mandayam, E. Brewer, Luke S. Austin

引用次数: 0

A PPG-ECG Combo System for the Monitoring of the Aging State of Arteries PPG-ECG联合监测动脉老化状态的研究

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220015

B. Andò, S. Baglio, P. Fallica, V. Marletta, E. Ambra, Martina Pace, Francesco Salvatore Garozzo, V. Vinciguerra

引用次数: 0

Detection of Mathematical Fluency Effects on Working Memory using Near Infrared Spectroscopy 用近红外光谱检测数学流畅性对工作记忆的影响

2020 IEEE Sensors Applications Symposium (SAS) Pub Date : 2020-03-01 DOI: 10.1109/SAS48726.2020.9220070

W. Ung, N. Yahya, T. Tang

{"title":"Detection of Mathematical Fluency Effects on Working Memory using Near Infrared Spectroscopy","authors":"W. Ung, N. Yahya, T. Tang","doi":"10.1109/SAS48726.2020.9220070","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220070","url":null,"abstract":"The prefrontal cortex (PFC) not only plays a less mathematics-specific role in number processing and calculation but it is also responsible for working memory demands coping. Through functional near-infrared spectroscopy imaging, this study explored how differently the PFC of 31 subjects with contrasting mathematical fluency would respond to increasing working memory demands of mental arithmetic task. Area under the curve analyses of the oxygenated hemoglobin signals, hereinafter representing brain activation, were compared across levels and groups. Depending on task performance, the subjects were allocated to either normal performers (NP) or high performers (HP) group. Both groups showed sensitivity with regards to task performance (i.e., the number of problems attempted and accuracy) towards increasing working memory demands (level 1 to 3). With increasing task level, NP’s PFC activation increased while HP’s remained unchanged. NP also showed consistent greater PFC activation than HP in all three levels. These findings implied that the PFC plays a more auxiliary role to cope with working memory demands imposed by mental arithmetic on individuals who are less fluent in mathematics. This can potentially serve as a framework to monitor workload hemodynamics continuously and unobtrusively.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133501811","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