2021 IEEE International Conference on Electro Information Technology (EIT)最新文献_第6页

Modeling, Parameter Identification, and Steering Angle Control of Electric Power Steering for Trajectory Following in Autonomous Vehicles 自动驾驶汽车轨迹跟随电动助力转向建模、参数辨识及转向角控制

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491890

Lubna Khasawneh, M. Das

{"title":"Modeling, Parameter Identification, and Steering Angle Control of Electric Power Steering for Trajectory Following in Autonomous Vehicles","authors":"Lubna Khasawneh, M. Das","doi":"10.1109/EIT51626.2021.9491890","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491890","url":null,"abstract":"This paper presents modeling, parameter identification, and control of the Electric Power Steering (EPS) in the autonomous driving mode (driverless mode). The model consists of three parts, the first part estimates the mechanical system of the EPS by a second order one degree of freedom model, the lumped parameters of the mechanical model, moment of inertia, damping and coulomb friction constant are identified using Recursive Least Squares (RLSE). The second part of the model is the estimation of the dynamics of the electric motor by a second order transfer function using (RLSE). The third part of the model is the estimation of the aligning moment torque resulting from road disturbance. The aligning moment is estimated as a function of lateral forces, pneumatic trail, and kinematic trail. Lateral forces are estimated as a function of tire slip angle. Extended Kalman filter (EKF) is implemented to estimate the vehicle side slip angle and yaw rate to be used in the tire slip angle estimation. The model is used in control of the Steering Wheel Angle (SWA) of the EPS for trajectory following. The model is also used to provide a complete steering actuation model for simulation purposes. The control method used to control the EPS angle is Sliding Mode Control (SMC). Side slip angle and aligning moment were validated experimentally in the vehicle, estimated side slip angle showed comparable results with Oxford INS/GPS. Simulation results proved excellent tracking of the SMC SWA controller and compensation for the aligning moment. Simulations were conducted using the EPS model constructed from real time data.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125113115","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

Estimation of Respiration Rate using an Inertial Measurement Unit Placed on Thorax-Abdomen 用放置在胸腹间的惯性测量装置估计呼吸速率

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491900

Mahfuzur Rahman, B. Morshed

{"title":"Estimation of Respiration Rate using an Inertial Measurement Unit Placed on Thorax-Abdomen","authors":"Mahfuzur Rahman, B. Morshed","doi":"10.1109/EIT51626.2021.9491900","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491900","url":null,"abstract":"Respiration rate is one of the important measures of any physiological changes in human body. In this paper, an inertial measurement unit (IMU) is used to detect the chest movement and estimate the respiration rate from the real-time signal. A commercial inertial motion sensor chip used in this study that produces linear motion vector as streaming data. The signal from the motion sensor was sampled at 10 Hz. Signal processing was applied to denoise respiration signals from the values of linear motion vectors. Then, an algorithm of calculating respiration rate, was used to estimate breath per minute (BPM). The results were compared with a commercial respiration monitor belt logger sensor as the ground truth. The IMU sensor was tested at 5 different BPMs (12, 15, 20, 24, and 30) to validate the data from the IMU sensor and from the commercial respiration belt using a protocol where different BPM was maintained. The results show high accuracy of the proposed system which is simpler to use, cheaper to protype, and can be integrated with a wearable device and a custom smartphone app using edge computing technique.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122372754","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

Internet of Things Smart Farming Architecture for Agricultural Automation 面向农业自动化的物联网智能农业架构

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491870

Adrián Sánchez-Mompó, Heloise Barbier, Won-Jae Yi, J. Saniie

{"title":"Internet of Things Smart Farming Architecture for Agricultural Automation","authors":"Adrián Sánchez-Mompó, Heloise Barbier, Won-Jae Yi, J. Saniie","doi":"10.1109/EIT51626.2021.9491870","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491870","url":null,"abstract":"With the increase of global demand for food and with the adoption of the trends of local sourcing and locally grown produce, the need for gardening and farming automation solutions ranging from industrial to home level has been on the rise. In this paper, we propose an Internet of Things (IoT) farming control system based on the concept of Wireless Sensor and Actuator Networks (WSAN) that provides ideal growing conditions for user-defined crops. This is achieved by utilizing the information provided by a series of sensors monitoring the environmental (temperature, humidity, UV, etc.) and soil (moisture, nutrients, etc.) conditions to control the deployed actuators. To allow a wide range of deployment sizes, we use a two-stage system that combines a series of low-power sensor and actuator nodes with a communication and data processing gateway. The low-power microcontroller reads the data from the sensors and sends them to the data processing gateway, which then calculates the optimal actuator changes required to achieve the desired status. These changes are then feedbacked to the low-power microcontroller which actuates the control devices. The communication between the devices is performed via a bespoke LoRa-based communication protocol optimized for minimal overhead, flexibility, and guaranteed data delivery. This is presented to the user via a website to view the configuration of the system and the observation of the past and present environmental, soil, and actuator status of the system.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126625929","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

Double Deep Q-Learning and SAC Based Hybrid Beamforming for 5G and Beyond Millimeter-Wave Systems 5G及以上毫米波系统的双深度q -学习和基于SAC的混合波束成形

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491918

Youness Arjoune, S. Faruque

{"title":"Double Deep Q-Learning and SAC Based Hybrid Beamforming for 5G and Beyond Millimeter-Wave Systems","authors":"Youness Arjoune, S. Faruque","doi":"10.1109/EIT51626.2021.9491918","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491918","url":null,"abstract":"Fully digital beamforming techniques are costly and power hungry when employed with massive multiple input multiple output (MIMO) systems at the millimeter-Wave (mmWave) bands. Hybrid beamforming, which uses a very few number of radio frequency chain with a network of phase shifters, is a cost- and an energy-efficient alternative beamforming solution. However, the unit modulus constraint imposed by the phase shifters makes this problem inherently nonconvex, therefore may induce unaffordable computational complexity. Hence, designing hybrid beamforming algorithms which further improve the spectral efficiency, hardware efficiency, and computational efficiency is of crucial importance. Therefore, in this paper, we aim at solving hybrid beamforming using the theory of deep reinforcement learning, which has been successful in solving several high-dimensional nonconvex problems. Although deep reinforcement learning has been previously proposed, nearly all prior studies focus on Q-learning, which is known to suffer from overestimation bias. Different from these previous studies, we propose to solve hybrid beamforming for a single-user massive MIMO (SU-MIMO) using two methods 1) a double deep Q- learning with replay experience and soft target network updates method for discrete action space setting; 2) a soft actor critic method for continuous action space setting. These models are tested using numerical simulations and evaluated using the spectral efficiency and computational efficiency. This paper shows that these models can achieve a near-optimal performance in terms of the spectral efficiency while reducing the computational complexity.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130150827","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: 4

Social Engineering: The Looming Threat 社会工程:迫在眉睫的威胁

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491884

M. Mattera, M. Chowdhury

引用次数: 4

COVID CV: A System for Creating Holistic Academic CVs during a Global Pandemic COVID CV:在全球大流行期间创建整体学术简历的系统

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491917

Umesh Raja, N. Chowdhury, R. Raje, R. Wheeler, Jane Williams, A. Ganci

{"title":"COVID CV: A System for Creating Holistic Academic CVs during a Global Pandemic","authors":"Umesh Raja, N. Chowdhury, R. Raje, R. Wheeler, Jane Williams, A. Ganci","doi":"10.1109/EIT51626.2021.9491917","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491917","url":null,"abstract":"The effects of the Covid pandemic have been, similar to the population at-large, unequal on academicians – some groups have been more susceptible than others. Traditional CVs are inadequate to highlight these imbalances. CovidCV is a framework for academicians that allows them to document their life in a holistic way during the pandemic. It creates a color-coded CV from the user’s data entries documenting the work and home life and categorizing corresponding events as good or bad. It, thus, provides a visual representation of an academician’s life during the current pandemic. The user can mark any event as major or minor indicating the impact of the event on their life. The CovidCV prototypical system is developed using a three tier architecture. The first tier, the front-end, is a user interface layer that is a web application. This prototype has a back-end layer consisting of two tiers which are responsible for handling the business logic and the data management respectively. The CovidCV system design is described in this paper. A preliminary experimentation with the prototype highlights the usefulness of CovidCV.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129675981","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

Mobile Energy Storage Operation in Micro-Grid Integrated Distribution Systems Considering Network Reconfiguration 考虑网络重构的微网综合配电网移动储能运行

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491895

Md Shahin Alam, S. A. Arefifar

{"title":"Mobile Energy Storage Operation in Micro-Grid Integrated Distribution Systems Considering Network Reconfiguration","authors":"Md Shahin Alam, S. A. Arefifar","doi":"10.1109/EIT51626.2021.9491895","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491895","url":null,"abstract":"Integration of mobile energy storages in a microgrid integrated power distribution system helps to improve the distribution system’s operational performance. This research identifies the optimum locations of mobile energy storage units as well as sectionalizing switches in a multi-microgrid power distribution system. Moreover, the benefits of mobile energy storages along with the system’s reconfiguration has been investigated in terms of power system operational costs, energy losses, environmental emissions, and total system operational costs which includes system operational costs, emissions costs, and system losses costs together. Three different case studies are presented: 1) PV supported microgrids (MGs), 2) wind turbine supported MGs, and 3) both PV and wind turbine supported MGs in the power distribution system. The well-known PG&E 69 bus distribution system has been chosen for the simulation and case studies, and a heuristic based Particle Swarm Optimization (PSO) algorithm has been used for solving the optimization problem. Because of the uncertain natures of PVs and wind turbines in terms of their output powers in different times of the day, a probabilistic approach is applied during simulations and case studies to ensure the most realistic results. The simulation results show that optimal operation of mobile energy storages along with the corresponding optimal switch positions largely helps to improve the distribution system operational performances.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125474744","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

Intelligent Roadside Unit Deployment in Vehicular Network 智能路边单元在车辆网络中的部署

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491873

Xiangyu Xu, Xiang Cao, G. Wolffe, Jie Du

引用次数: 1

Measures to Protect Cloud Data: A Survey 保护云数据的措施:调查

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491872

Jeremy J. Mayerski, M. Chowdhury

引用次数: 1

Securing CAN FD by implementing AES-128, SHA256, and Message Counter based on FPGA 通过FPGA实现AES-128、SHA256和Message Counter来保护CAN FD

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491920

F. M. Lagnf, S. Ganesan

引用次数: 2