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Skewed-redundant Hall-effect Magnetic sensor Fusion for Perturbation-free Indoor Heading Estimation 4

Skewed-redundant Hall-effect Magnetic Sensor Fusion for Pert...

引用

4th ieee international conference on Robotic computing (ieee IRC)

作者： Karimi, Mojtaba Babaians, Edwin Oelsch, Martin Aykut, Tamay Steinbach, Eckehard Tech Univ Munich Dept Elect & Comp Engn Munich Germany Stanford Univ Dept Elect Engn Stanford CA 94305 USA

ISBN: (纸本)9781728152370

Robust attitude and heading estimation with respect to a known reference is an essential component for indoor localization in robotic applications. Affordable Attitude and Heading Reference systems (AHRS) are typically using 9-axis solid-state MEMS-based sensors. the accuracy of heading estimation on such a system depends on the Earth's magnetic field measurement accuracy. the measurement of the Earth's magnetic field using MEMS-based magnetometer sensors in an indoor environment, however, is strongly affected by external magnetic perturbations. this paper presents a novel approach for robust indoor heading estimation based on skewed-redundant magnetometer fusion. A tetrahedron platform based on Hall-effect magnetic sensors is designed to determine the Earth's magnetic field with the ability to compensate for external magnetic field anomalies. Additionally, a correlation-based fusion technique is introduced for perturbation mitigation using the proposed skewed-redundant configuration. the proposed fusion technique uses a correlation coefficient analysis for determining the distorted axis and extracts the perturbation-free Earth's magnetic field vector from the redundant magnetic measurement. Our experimental results show that the proposed scheme is able to successfully mitigate the anomalies in the magnetic field measurement and estimates the Earth's true magnetic field. Using the proposed platform, we achieve a Root Mean Square Error of 12.74 degrees for indoor heading estimation without using an additional gyroscope.

关键词： Hall effect

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Predict the percentage error of LM35 temperature sensor readings using simple linear regression analysis 4

Predict the percentage error of LM35 temperature sensor read...

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4th international conference on Electrical, Telecommunication and Computer Engineering, ELTICOM 2020

作者： Nasution, Tigor Hamonangan Harahap, Lukman Adlin Universitas Sumatera Utara Departement of Electrical Engineering Medan Indonesia Chulalongkorn University Department of Mathematics and Computer Science Bangkok Thailand

ISBN: (纸本)9781728188706

the development of embedded systems for monitoring is currently developing rapidly, often with the development of the Internet of things (IoT). One of the monitoring systems that are widely designed is the temperature monitoring system. LM35 temperature sensors are often used in system design to read ambient temperature automatically. In the design results, the temperature data reading on the sensor has a percentage of data reading errors. In this study, we made an equation using simple linear regression to predict the percentage of error against the time that the sensor was used while reading temperature data. In the initial steps we designed a simple embedded system using the Arduino and the LM35 temperature sensor. Furthermore, measurements are made for a certain interval every five minutes. From the measurement data, the constant and regression coefficient are calculated by determining time as the dependent variable (Causal Factor Variable) and the percentage of error as the independent variable (Predictors). the results obtained a constant value of 5.56 and a regression coefficient of -0.014. © 2020 ieee.

关键词： Temperature sensors

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Programmable Dataplane Architecture for distributed Services at the Network Edge 7

Programmable Dataplane Architecture for Distributed Services...

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7th international conference on Software Defined systems, SDS 2020

作者： Baldi, Mario Crupnicoff, Diego Gai, Silvano PensandoSystems Inc. MilpitasCA United States

ISBN: (数字)9781728172194

ISBN: (纸本)9781728172194

this paper describes the architecture, sample applications, and performance of a distributed Services Card that can support a large range of services in cloud, service provider, and enterprise data centers, as well as service provider and enterprise network edge. Being deployed in hosts, this fully programmable card can leverage the same scale-out model that has become popular for computing. Given that devices at the network edge deal only with packets that are sent to and from a single host, more time can be spent processing each packet to offer rich services programmed in P4. © 2020 ieee.

关键词： Network architecture

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Impact of Bitcoin's distributed Structure on the Construction of the Central Bank's Digital Currency System 4

Impact of Bitcoin's Distributed Structure on the Constructio...

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4th international conference on Inventive systems and Control, ICISC 2020

作者： Yang, Jun Li, Zhiguang Party School of the Working Committee of the Organs Directly under Cpc of Guangxi Zhuang Autonomous Region Nanning Guangxi530000 China Guangxi Zhuang Autonomous Region Beihu Sub-district Office Xixiangtang District Government of Nanning City Nanning Guangxi530000 China

ISBN: (纸本)9781728128139

this paper analyzes the impact of Bitcoin's distributed structure on the construction of the central bank's digital currency system. In the sub-area chain system, anonymous collection namely all participation node composition set, like miner node, wallet node and so on. the anonymous centralism behavior probability distribution namely includes the inquiry, the transaction, the intelligent contract application and so on the node interactive behavior is been connected to the specific node the probability. Future research on blockchain anonymity can focus on two aspects. One is to seek solutions that can enhance the anonymity of the system without occupying too much system resources. the other is the application of the blockchain system and smart contracts based on the account model Research on anonymous solutions. the paper integrates the technology to design and implement the intelligent digital currency system. Network security is specially analyzed. the experiment shows satisfactory performance. © 2020 ieee.

关键词： Blockchain

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Simulation Environment Configuration of Autonomous Driving Software Platform Using Driving Simulator 4

Simulation Environment Configuration of Autonomous Driving S...

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4th international conference on Control, Automation and Diagnosis (ICCAD)

作者： Choi, Hoseung Yu, Dongyeon Hwang, Sung-Ho Sungkyunkwan Univ Dept Mech Engn Suwon South Korea

ISBN: (数字)9781728169996

ISBN: (纸本)9781728169996

As the interest in autonomous vehicles increases rapidly, the necessity of an evaluation environment for verifying and evaluating the safety of autonomous vehicles and technology-equipped vehicles is emerging. In order to reflect the increasing number and complexity of electronic systems, various climatic conditions, and driving styles of drivers, various open source simulators have emerged in connection with autonomous driving technology testing. these simulators use 3D maps to perform autonomous driving algorithm tests. this paper proposes a method of generating a 3D point map that is a driving environment of an autonomous driving simulator using a LiDAR sensor provided by a driving simulator.

关键词： point map driving simulator autonomous driving platform LiDAR RSI sensor

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A Model for Classification of Traffic Signs Using Improved Convolutional Neural Network and Image Enhancement 4

A Model for Classification of Traffic Signs Using Improved C...

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4th international conference on Intelligent computing in Data Sciences (ICDS)

作者： Loukmane, Attoumane Grafia, Manuel Mestari, Mohammed Hassan II Univ ENSET Mohammedia Lab Signals Distributed Syst & Artificial Intelli Casablanca Morocco Univ Basque Country Fac Informat Computat Intelligence Grp San Sebastian Spain

ISBN: (纸本)9781728180847

In an advanced driver assistance system (ADAS), recognition of traffic signs is very important for safety driving. Recently, the convolutional neural networks (CNNs) have presented promising results. In this work, we propose a robust model based on VGG network by adding batch normalization operation. Dropout is also used to reduce the overfitting of the model. Due to the imbalance of the dataset, data augmentation is performed. then, in order to enhance images, Contrast limited adaptive histogram equalization (CLAHE) and normalization are performed. the performance of the model is evaluated on German traffic sign recognition benchmark (GTSRB) dataset using different performance metrics namely confusion matrix, precision, recall. Experiments results show that, the proposed model reaches a state-of-art accuracy of 99.33 % and surpasses the best human performance of 98.84 %. this model can be used for real world system.

关键词： Traffic signs CNNs GTSRB

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TARGET TRACKING USING COGNITIVE RADAR AND FOVEAL NODES 15

TARGET TRACKING USING COGNITIVE RADAR AND FOVEAL NODES

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Kyriakides, Ioannis Univ Nicosia Dept Engn Nicosia Cyprus

ISBN: (纸本)9781728105703

the adaptive configuration of nodes in a sensor network optimizes the use of scarce network resources to improve target tracking performance. Moreover, the effective fusion of measurements from heterogeneous sensing nodes provides diversity in information on the state of the target for additional performance gains. However, the joint configuration of the heterogeneous parameters of nodes and the fusion of heterogeneous measurements for sequential estimation are challenging tasks. To tackle these challenges, a sequential Monte Carlo method is presented in this work that adaptively configures heterogeneous sets of sensing nodes and fuses heterogeneous data for target tracking. A simulation experiment is provided as an example application of the method to demonstrate the configuration of cognitive foveal and radar nodes and the fusion of heterogeneous data for accurate and efficient single target tracking.

关键词： Cognitive sensor networks Bayesian target tracking particle filtering sequential Monte Carlo methods

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Shape Estimation Using Location-Unknown Distance sensors: A Curvature Based Approach 15

Shape Estimation Using Location-Unknown Distance Sensors: A ...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Ikeuchi, Hiroki Saito, Hiroshi NTT Corp NTT Network Technol Labs Tokyo 1808585 Japan Univ Tokyo Grad Sch Informat Sci & Thechnol Tokyo 1138656 Japan

ISBN: (纸本)9781728105703

We discuss the shape estimation of a moving target object by using distributed simple sensors. Since we cannot always carefully design sensor locations or allocate global positioning systems (GPSs) to low-cost sensors, we usually assume that the locations of sensors as well as that of the target object are unknown. We propose a method of estimating the whole shape of a moving target object T that has curved segments. Our method analyzes continuous reports on the measured distance of T from distributed sensors and determines the sensing directions of sensors by deriving T's boundary characteristics, such as curvature, from sensing reports. On the basis of the obtained sensing directions, it estimates the whole shape of T. We conducted numerical simulations and evaluated our method using simple geometric and realistic vehicle-shaped objects.

关键词： sensor network distance sensor distributed sensor shape estimation random placement unknown location geometry differential geometry curvature

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A Fully distributed Event-Triggered Method for Sample Time Synchronization over Database Business 4

A Fully Distributed Event-Triggered Method for Sample Time S...

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4th ieee international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Xu, Aidong Jiang, Yixin Cao, Yang Yan, Gangfeng Shi, Xiasheng China Southern Power Grid Elect Power Res Inst Guangzhou 510080 Guangdong Peoples R China Zhejiang Univ Huanan Ind Technol Res Inst Guangzhou 510000 Guangdong Peoples R China

ISBN: (纸本)9781728114101

this paper focuses on the time synchronization problem in large database business network In order to reduce the communication times, one event-triggered control protocol is provided based on the second-order multi-agent systems. For each agent, one distributed triggering condition is developed to determine the communication time instant. Finally, some simulation results are presented to show the effectiveness of the proposed distributed algorithms.

关键词： time synchronization event-triggered second-order

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Traffic Density Based distributed Congestion Control Strategy for Vehicular Communication 15

Traffic Density Based Distributed Congestion Control Strateg...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Akinlade, Oluwaseyi Saini, Ikjot Liu, Xiaofeng Jaekel, Arunita Univ Windsor Dept Comp Sci Windsor ON Canada

ISBN: (纸本)9781728105703

One of the main challenges for communication in Vehicular Ad Hoc Networks (VANETs) is efficient network channel utilization for the transmission of network packets. With the growing number of vehicles in the network, the number of safety messages increases quickly, which results in the network channel congestion. In this paper, we introduce a new approach to adapt the transmission power, which is based on the vehicle density of the network. the aim is to reduce congestion on the network channel and improve the overall performance of network. Our simulation results indicate that this approach can lead to enhanced performance in terms of reduced packet loss and inter-packet delay.

关键词： VANET congestion control

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