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Preprint ARTICLE | doi:10.20944/preprints202306.0180.v1

Incipient Inter Turn Short Circuit Fault Detection on Induction Motors Through Data Fusion and Statistical Machine Learning Strategy

Arturo Yosimar Jaen-Cuellar, Juan Jose Saucedo-Dorantes, David Alejandro Elvira-Ortiz

Subject: Engineering, Control And Systems Engineering Keywords: Condition monitoring; Induction motor; Inter-turn short-circuit; Feature calculation; Feature reduction

Online: 2 June 2023 (10:22:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0176.v1

Scalability of Cyber-Physical Systems in Mixed Reality Experiences in ROS 2

Francisco José Mañas-Álvarez, María Guinaldo, Raquel Dormido, Sebastian Dormido-Canto

Subject: Engineering, Control And Systems Engineering Keywords: Multi-Robot System; Mixed Reality; ROS 2; Formation Control

Online: 2 June 2023 (10:01:50 CEST)

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Nowadays, cyber-physical systems (CPSs) are composed of more and more agents and the demand for designers to develop ever larger multi-agent systems is a fact. When the number of agents increases, several challenges related to control or communication problems arise due to the lack of scalability of existing solutions. It is important to develop tools that allow control strategies evaluation of large-scale systems. In this paper, it is considered that a CPS is a heterogeneous robot multi-agent system that cooperatively performs a formation task through a wireless network. The goal of this research is to evaluate the system's performance when the number of agents increases. To this end, two different mixed reality frameworks developed with the open-source tools Gazebo and Webots are used. These frameworks enable combining both real and virtual agents in a realistic scenario allowing scalability experiences. They also reduce the costs required when a significant number of robots operate in a real environment, as experiences can be conducted with a few real robots and a higher number of virtual robots by mimicking the real ones. Currently, the frameworks include several types of robots being the aerial robot Crazyflie 2.1 and differential mobile robots Khepera IV those used in this work. To illustrate the usage and performance of the frameworks, an event-based control strategy for rigid formations varying the number of agents is analyzed. The agents should achieve a formation defined by a set of desired Euclidean distances to their neighbors. To compare the scalability of the system in the two different tools, the following metrics have been used: formation error, CPU usage percentage, and the ratio between the real-time and the simulation time. The results show the feasibility of using Robot Operating System (ROS) 2 in distributed architectures for multi-agent systems in mixed reality experiences regardless of the number of agents and their nature. However, the two tools under study present different behaviors when the number of virtual agents grows in some of the parameters, and such discrepancies are analyzed.

Preprint ARTICLE | doi:10.20944/preprints202306.0157.v1

LSTM-CNN Network-Based State-Dependent ARX Modeling and Predictive Control with Application to Water Tank System

Tiao Kang, Hui Peng, Xiaoyan Peng

Subject: Engineering, Control And Systems Engineering Keywords: LSTM-ARX model; MPC; water tank system; LSTM-CNN-ARX model

Online: 2 June 2023 (08:33:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0145.v1

Development of a Lux Meter for the Identification of Liquids in Post-Consumer Polyethylene Terephthalate Bottles for Collection Centers in Mexico

L. Ángeles-Hurtado, Juvenal Rodríguez, Hilda Romero-Zepeda, H. Torres-Salinas, R. García-Martínez, Silvia Salas-Aguilar

Subject: Engineering, Control And Systems Engineering Keywords: PET; Recycling; Lux meter; Classification; ANOVA; Machine learning; Automation; Illuminance; Polymer recycling; Municipal solid waste

Online: 2 June 2023 (07:12:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2110.v1

Research on the Device of Micro Droplet PCR in Microfluidic Chip Based on Constant Pressure Regulation

Luyang Duanmu, Yuanhua Yu, Xiangkai Meng

Subject: Engineering, Control And Systems Engineering Keywords: Constant Pressure Regulation; Micro droplet Digital PCR; Fluorescence Detection; Quantitative Detection

Online: 30 May 2023 (10:31:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2098.v1

A Design of Tree Micro Drill Instrument to Improve the Accuracy of Wood Density Measurement

Jianfeng Yao, Zhenyang Wu, Yili Zheng, Benqiang Rao, Zhuofan Li, Yunchao Hu, Bolin Nie

Subject: Engineering, Control And Systems Engineering Keywords: Resistograph; wood density; micro drill resistance; linear model; micro destructive measurement

Online: 30 May 2023 (09:35:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2010.v1

Implementing a Prototype Autonomous Fire Detecting and Firefighting Robot

Joseph Azeta, Idowu Ayoade, Cosmas Nwakanma, Timileyin Akande

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous Robot; Firefighting Robot; Intelligent Robot; Fire Detection

Online: 29 May 2023 (12:34:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1609.v1

Dynamic Analysis and Control of Neural Networks: Stability, Oscillation, and Weight-Based Modulation

Lei Zhang

Subject: Engineering, Control And Systems Engineering Keywords: neural dynamics; neural oscillation; bio-inspiration; artificial intelligence

Online: 23 May 2023 (08:05:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1386.v1

Model-Based Adaptive Collaboration of Multi-Terminal Internal Force Tracking

Zha la Wang, Jing min Dai, Fei Song

Subject: Engineering, Control And Systems Engineering Keywords: multi-terminal; force tracking; Adaptive

Online: 19 May 2023 (05:48:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1264.v1

Robot Motion in Radial Mass Density Field

Branko Novakovic, Dubravko Majetic, Josip Kasac, Danko Brezak

Subject: Engineering, Control And Systems Engineering Keywords: robot motion control; maximal (minimal) radial mass density; energy conservation constant; micro (nano) robot motion; radial mass density field.

Online: 18 May 2023 (03:56:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1134.v1

Attitude Determination System for a CubeSat Experiencing Eclipse

Kesaobaka Mmopelwa, Teddy Tumisang Ramodimo, Oduetse Matsebe, Bokamoso Basutli

Subject: Engineering, Control And Systems Engineering Keywords: Attitude estimation; expectation maximization; CubeSat; extended Kalman filtering; attitude kinematics

Online: 16 May 2023 (09:09:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1094.v1

Field Oriented Predictive Control Structure for Synchronous Reluctance Motors

Madalin Costin, Corneliu Lazar

Subject: Engineering, Control And Systems Engineering Keywords: synchronous reluctance machine; model predictive control; field orientation control; linear constraints; quadratic programming

Online: 16 May 2023 (05:13:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0998.v1

Autonomous Catamaran Unmanned Surface Vessel Based on GPS And Radar

Tianqun Ren, Dan Wang, Yingquan Zou

Subject: Engineering, Control And Systems Engineering Keywords: catamaran unmanned surface vessel; maneuvering modeling group (MMG); fuzzy adaptive PID control; obstacle detection; trajectory tracking experiment

Online: 15 May 2023 (07:50:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0691.v1

Influence of Removing Leaf Node Neighbors on Network Controllability

Junli Li, Chengpei Wu, Siyi Xu, Zhuoran Yu

Subject: Engineering, Control And Systems Engineering Keywords: controllability; controllability robustness; undirected networks; attack strategy

Online: 10 May 2023 (05:21:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0657.v1

Thrust Vectoring Control for Heavy UAVs, Employing a Redundant Communication System

Mohammad Sadeq Ale Isaac, Ahmed Refaat Ragab, Marco Andres Luna, Mohammad Mehdi Ale Eshagh Khoeini, Pascual Campoy

Subject: Engineering, Control And Systems Engineering Keywords: sliding mode; thrust vectoring control; UAV; sommunication

Online: 9 May 2023 (12:49:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0624.v1

Identifying Growth Patterns in Arid Zone Onion Crops (AlliumCepa) Using Digital Image Processing

David Correa, Juvenal Rodríguez-Reséndiz, Germán Díaz-Flórez, Carlos Olvera-Olvera, José Manue Álvarez-Alvarado

Subject: Engineering, Control And Systems Engineering Keywords: aerial photography; agricultural crop; digital image processing; pattern identification

Online: 9 May 2023 (09:26:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0113.v1

Passive Fuzzy Controller Design for Parameter-Dependent Polynomial Fuzzy Model

Cheung-Chieh Ku, Chein-Chung Sun, Shao-Hao Jian, Wen-Jer Chang

Subject: Engineering, Control And Systems Engineering Keywords: T-S Fuzzy System; LPV System; Passive Theory; SOS; Parameter-Dependent Polynomial Lyapunov Function

Online: 3 May 2023 (08:10:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0058.v1

Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications

Muhammad Adnan, Giulia Slavic, David Martín Gómez, Lucio Marcenaro, Carlo Regazzoni

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous Vehicles (AVs); LiDAR (Light Detection and Ranging); Point Clouds; Clustering Algorithms; Multi-Target Tracking (MTT); Object Detection; Sensor Fusion; Deep Learning; 3D Point Cloud Segmentation

Online: 2 May 2023 (05:04:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0610.v1

Evaluating the Residual Life of Long-Term Equipment Made of Structural and Heat-Resistant Steel By using Structural-Mechanical Criterion

Nikolay Ababkov, Alexandr Smirnov, Vladimir Danilov

Subject: Engineering, Control And Systems Engineering Keywords: power equipment; structural and heat resistant steels; mechanical properties, structural-phase state, acoustic and magnetic characteristics, deformation localization zone, structural-mechanical criterion

Online: 20 April 2023 (05:37:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0201.v1

Joint Flood Risks in the Grand River Watershed, Ontario Canada

Poornima Unnikrishnan, Kumaraswamy Ponnambalam, Nirupama Agrawal, Fakhri Karray

Subject: Engineering, Control And Systems Engineering Keywords: Joint flood risks, Grand River watershed, probability analysis, copula, disaster management, Canada

Online: 11 April 2023 (05:25:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0010.v1

Autonomous Drone Electronics Amplified With Pontryagin–Based Optimization

Jiahao Xu, Timothy Sands

Subject: Engineering, Control And Systems Engineering Keywords: Systems Engineering; Path Planning; deterministic artificial intelligence; System Identification; DC-motor; Least Square; Autonomous Trajectory Generation

Online: 3 April 2023 (05:31:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0294.v1

Oscillations Analysis and Control Optimization of Hydraulic Turbine Based on Variable Speed Reaching Law

Xiaoping Huang, Wenzhe Huang, Qiu Lu

Subject: Engineering, Control And Systems Engineering Keywords: Hydroelectric units; Low frequency oscillation; Internal characteristic model; Sliding mode control; Robust control; HTRS(Hydro-turbine regulating system)

Online: 16 March 2023 (02:20:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0068.v1

Shuai Wang, Xinzhe Chang, Fei Xu, Jicheng Li, Jiayi Wang

Subject: Engineering, Control And Systems Engineering Keywords: Similarity; Scaling; Geometric distortion; Anisotropic elastic materials; Structural impact

Online: 3 March 2023 (09:52:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0336.v1

Dual Extended State Observer Based Feedback Linearizing Control for Magnetic Levitation System with Mismatched Disturbances and Uncertainties

Ravi V. Gandhi, Dipak M. Adhyaru, Gulshan Sharma, Pitshou Bokoro

Subject: Engineering, Control And Systems Engineering Keywords: Extended State Observer; Feedback Linearizing Control; Mismatched Disturbance; Nonlinear System; Stability Analysis; Lumped Disturbances

Online: 20 February 2023 (09:30:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0288.v1

Design and Fabrication of a Fully-Integrated, Miniaturised Fluidic System for the Analysis of Enzyme Kinetics

Andreas Tsiamis, Anthony Buchoux, Stephen T. Mahon, Anthony J. Walton, Stewart Smith, David J. Clarke, Adam A. Stokes

Subject: Engineering, Control And Systems Engineering Keywords: sensors; fluidics; integration; lab-on-a-chip; integrated devices; miniaturised total analysis system; optofluidics.

Online: 17 February 2023 (02:00:15 CET)

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Preprint BRIEF REPORT | doi:10.20944/preprints202302.0210.v1

Full-Body Control of an Aerial Manipulator for Advance Physical Interaction Using Fuzzy Reinforcement Learning: A Road Map

Mohsen Zahmatkesh

Subject: Engineering, Control And Systems Engineering Keywords: Aerial Manipulator, Deep Deterministic Policy Gradient, Fuzzy Reinforcement Learning, Sensors

Online: 13 February 2023 (09:09:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0022.v1

Adaptive and Learning Methods for Drone Motor Control

Brady Barnett, Timothy Sands

Subject: Engineering, Control And Systems Engineering Keywords: drones; artificial intelligence for control; autonomous unmanned aerial vehicles (UAVs); design and modeling; antenna; nonlinear adaptive control; self-tuning regulators

Online: 2 February 2023 (02:08:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0018.v1

Towards a Simulation Model Complexity Measure

J. Scott Thompson, Douglas D. Hodson, Michael R. Grimaila, Nicholas Hanlon, Richard Dill

Subject: Engineering, Control And Systems Engineering Keywords: simulation model; complexity; Kolmogorov complexity; normalized compression distance; resolution; scope; model families

Online: 2 February 2023 (01:32:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0527.v1

Open-loop Control Strategies and Feasible System Response for a Rear-Axle Bicycle Robot

Masiala Mavungu

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous Vehicle; Bicycle Robot; Open-loop Control; Path Planning; Differential Equation; Initial Value Problem; Runge-Kutta Method; Scientific Computing

Online: 29 January 2023 (02:36:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0077.v1

Controlling Chaos – Forced Lorenz System

Emily Kuck, Timothy Sands

Subject: Engineering, Control And Systems Engineering Keywords: chaos; linear feedback control; Lorenz system; nonlinear feedforward control; oscillator; sinusoidal forcing

Online: 4 January 2023 (10:35:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0527.v1

DC Microgrid Based on Battery, Photovoltaic, and Fuel Cells; Design and Control

Akram Muntaser, Hussin Ragb, Ibrahim Elwarfalli

Subject: Engineering, Control And Systems Engineering Keywords: Microgrid; DC/DC converter; Lithium-ion battery; PV array; solar cell; MPPT controller.

Online: 28 December 2022 (03:38:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0459.v1

Learning and Knowledge Technologies as Strategies in the Training of Public Accountants

Deixy Ximena Ramos Rivadeneira, Javier Alejandro Jiménez Toledo, Sandra Lucia Goyes

Subject: Engineering, Control And Systems Engineering Keywords: public accountant; accounting training; accounting software; abilities; Learning and knowledge technologies.

Online: 26 December 2022 (01:46:21 CET)

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this article presents the results of implementing existing software tools in the accounting field. The teaching processes regarding the use of Learning and Knowledge Technologies (TAC) in the university environment, and very specifically, in what has to do with the pedagogical integration of the same in the curriculum is deficient and disjointed with the current technological development. Thus, in the different curricula of professional programs of Public Accounting and related, the courses related to computer automation processes are oriented only towards the management of computer science and accounting software and the great diversity of existing applications that would undoubtedly directly benefit the student to know the potential of these in their future accounting practice is not taken into account. Strengthen the various skills of a Public Accountant in training through Learning and Knowledge Technologies (TAC), under the hypothesis of developing skills in the accounting field through TACs. The research was developed using a quantitative approach, an empirical-analytical method, with a type of descriptive research under an experimental design based on G1 x O1 and G2–O2, three phases were defined. In the first phase, the characterization of the existing software tools in the accounting field was carried out. In the second phase, their relevance was determined. In the third phase, performance was evaluated and then classified in a repository. The data obtained were analyzed with parametric analysis techniques through which it was found that the difference in quantitative results in the academic process between the experimental and control groups was statistically significant, which concluded the success of the experimental treatment. The use of CT scans in the classroom by the experimental group resulted in an improvement in their academic performance compared to the control group, strengthening their self-learning processes and facilitating the development of cognitive functions and skills necessary in the exercise of their accounting profession. This research supports and strengthens the work skills developed in the classroom for public accounting students. The tools TAC is developed from the request made by the radiometry laboratory as a first phase and a second phase is necessary for validation with experts.

Preprint ARTICLE | doi:10.20944/preprints202212.0416.v1

Optimal Design & Energy Management of Islanded, Hybrid Microgrids For Remote, Isolated Off-Grid Communities with No External Power Exchange

Vineet Jagadeesan Nair

Subject: Engineering, Control And Systems Engineering Keywords: Microgrids; modeling; energy systems; optimization; clean energy; sustainability

Online: 22 December 2022 (03:49:41 CET)

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In this study, a multiobjective, multiperiod, global optimization for design, sizing and dispatch of an islanded, hybrid microgrid was performed using a model built in MATLAB. The system was simulated over one year for sizing and over one day for dispatch, both using hourly time steps. The model minimized lifecycle levelized costs, emissions, lost load and dumped power while maximizing penetration of clean, renewable sources in the microgrid. This found optimal capacities of the renewable, energy storage and backup generation components which provide the best combination of affordability, sustainability, reliability and efficiency. After experimenting with several global solvers, it was determined that particle swarm optimization is most well-suited to solving the sizing optimization problem. The PV-wind microgrid using Li-ion batteries along with diesel engines was found to perform best among all the combinations considered. It was found that in spite of including additional objectives, monetary costs are the primary driver while allocating generation capacity between different renewable sources like wind versus solar PV. Furthermore, the sizing of PV, wind and battery storage depends strongly on the rating of the standby distributed generator, mainly due to reliability consideration. Generating Pareto-optimal sets revealed interesting relationships between different input variables (i.e. PV, wind and battery capacities) as well as trade-offs that arise while pursuing different objectives. Pursuing cost-minimization alone may lead to sub-optimal outcomes in terms of environmental impact, reliability and excess energy production. A sensitivity analysis was also conducted to understand the effects of various parameters like fuel price and energy storage costs on the optimal system's design and operation. Such accurate sizing programs help reduce the extent of oversizing of sub-systems during the design and planning stage, which is usually needed to achieve high reliability with distributed and decentralized energy systems like off-grid microgrids. This reduces the upfront capital investment needed to build the system, making clean electricity access affordable in the short term. The economic-environmental dispatch produced day-ahead scheduling strategies to meet the above mentioned objectives. The system was found to be relatively robust to short-term uncertainties and disturbances in renewable generation and load, although this does cause sub-optimal performance due to increased reliance on fossil fuels. It was found that dispatching of the batteries and backup generators is most critical in minimizing impacts of such events. However, the response to longer-term disturbances still remains to be assessed. The study also includes a comprehensive literature review of tools available for microgrid design as well as different optimization algorithms that have been used to solve microgrid sizing, dispatch and scheduling problems. Additionally, an overview is provided of various control strategies that can be used to improve robustness and resiliency of microgrids.

Preprint ARTICLE | doi:10.20944/preprints202212.0259.v1

Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation

Jakub Filip Możaryn, Michał Fratczak, Krzysztof Stebel, Tomasz Kłopot, Witold Nocon, Andrzej Ordys, Stepan Ozana

Subject: Engineering, Control And Systems Engineering Keywords: cyberattack; control variable; feedback system; cyberattack detection; process air conditioning station.; control performance assesment

Online: 14 December 2022 (14:58:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0233.v1

Robot Navigation in Crowded Environments: a Reinforcement Learning Approach

Matteo Caruso, Enrico Regolin, Federico Julian Camerota Verdù, Stefano Alberto Russo, Luca Bortolussi, Stefano Seriani

Subject: Engineering, Control And Systems Engineering Keywords: mobile robotics; neural networks; control systems; reinforcement learning; crowd navigation

Online: 13 December 2022 (08:33:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0157.v1

Engineering Self-Adaptive Capabilities in Wireless Sensors Based on Control Algorithms and Model-Based Design Methodologies

Raúl Mario Del Toro Matamoros, Andrei Pruteanu, Rodolfo Elias Haber Guerra

Subject: Engineering, Control And Systems Engineering Keywords: self-adaption; wireless sensors; model-based design; control engineering

Online: 8 December 2022 (10:24:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0018.v1

AWEbox: an Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems

Jochem De Schutter, Rachel Colette Leuthold, Thilo Bronnenmeyer, Elena Malz, Sebastien Gros, Moritz Diehl

Subject: Engineering, Control And Systems Engineering Keywords: airborne wind energy; optimal control; open-source software

Online: 1 December 2022 (08:54:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0333.v1

Improving Visual SLAM by Combining SVO and ORB-SLAM2 with a Complimentary Filter to Enhance Indoor Mini-Drone Localization Under Varying Conditions

Amin Basiri, Valerio Mariani, Arman Neyestani, Luigi Glielmo

Subject: Engineering, Control And Systems Engineering Keywords: Visual SLAM; Indoor positioning; Mini-drone

Online: 17 November 2022 (09:59:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0124.v1

Robot Navigation Algorithm Based on Real-Time Ranging and Map Matrix

Linwei Cui, Jianwei Cui, Zizheng Huang, Xiang Li, Yucheng Shang, Liyan Tong

Subject: Engineering, Control And Systems Engineering Keywords: Intelligent archive repository; archive access robot; complex digital filtering; map matrix; navigational mobility

Online: 7 November 2022 (12:23:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0035.v1

Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF Joints

Daniel Laidig, Ive Weygers, Thomas Seel

Subject: Engineering, Control And Systems Engineering Keywords: anatomical calibration; sensor-to-segment calibration; kinematic constraints; human motion analysis; elbow joint; inertial sensor; inertial measurement unit

Online: 2 November 2022 (02:42:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0482.v1

Mutable Observation Used by Television Drone Pilots: Efficiency of Aerial Filming Regarding the Quality of Completed Shots

Grzegorz Borowik, Monika Kożdoń-Dębecka, Sebastian Strzelecki

Subject: Engineering, Control And Systems Engineering Keywords: aerial photography; television drone pilot; UAV; VLOS; perception of the drone pilot; VCEF; EHEF; empirical studies in interaction design; empirical studies in HCI

Online: 31 October 2022 (10:19:26 CET)

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Drones, as mobile media of the present day, increase the operational and narrative capabilities of television and accelerate the logistics of shooting. Unmanned aerial vehicles with a camera properly steered by a pilot are able, to some extent, to replace a jimmy jib/crane and a dolly; basic technical devices, used in the studios, enabling the creation of narrative systems of pictures in film and television. Television is more and more often using drone footage to report events, broadcast live, as well as create coverage and television documentaries. In many productions the pilot of the drone simultaneously acts as the drone camera operator, which can improve the effectiveness of shooting, but also carries some risk related to flight safety. The article describes and presents in the form of processed footage the real conditional ties of a Visual Line of Sight (VLOS) flight faced by pilots filming with a drone. VLOS is a type of air operation, which requires maintaining eye contact with the drone. In many countries a drone visibility flight is legally sanctioned as VLOS Operation. An experiment was conducted to investigate the interactions between a human and a machine in airspace steered using a controller with a touchscreen. The drone pilot was considered an integral part of the drone’s flight system control Experimental data was collected with the use of a mobile eye-tracker, video cameras, surveys and pilot declarations. During the experiment, eight television drone pilot operators recaptured a model shot under the regime of VLOS flight at low altitude. They all show that both advanced and beginner pilots did not look at the UAV for over half the time of shot execution. The experiment allowed establishing two coefficients related to the effectiveness of a VLOS flight aiming at filming from the drone. The results point to clear differences in screen perception styles used by drone television pilots.. The coefficients were described in the form of mathematical formulas and their limit values were determined. The research also determines the limits of pilots’ perception, within which they are able to film with a drone. The outcomes may help to optimize the process of aerial filming with the use of a drone, carried out for television, film and other media, as well as in a simulation of such a flight for research and training. From the perspective of media science and social communication, the presented study included a technological component that can be accessed through information science, using statistical models and variable distributions. Media scholars can study the impact of the media without having to look into the metaphorical black box. Computer science opens up this possibility.

Preprint ARTICLE | doi:10.20944/preprints202210.0360.v1

Attitude Control of Highly Maneuverable Aircraft Using an Improved Q-learning

Mohsen Zahmatkesh, Seyyed Ali Emami, Afshin Banazadeh, Paolo Castaldi

Subject: Engineering, Control And Systems Engineering Keywords: Reinforcement Learning, Q-learning, Fuzzy Q-learning, Attitude Control, Truss-braced Wing, Flight Control

Online: 24 October 2022 (10:24:33 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202210.0345.v1

A Case Study of Delayed Action PIR Urinal-Controls in a University Setting and Their Impact Before, During, and After Covid-19

James E.M. Daly, Devendra P. Saroj, Jonathan L. Chenoweth, Thomas Parrott

Subject: Engineering, Control And Systems Engineering Keywords: Urinal; Passive Infrared (PIR); Water Conservation; Water efficiency; Campus; building management

Online: 24 October 2022 (03:18:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0298.v1

Backstepping Control Design in Conjunction with an EKF-based Sensorless Field-Oriented Control of an IPMSM

Caglar Uyulan

Subject: Engineering, Control And Systems Engineering Keywords: Sensorless FOC; IPMSM; backstepping control; EKF

Online: 20 October 2022 (07:01:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0274.v1

Sliding Mode-based Traction Control System Design for Electric Scooter BLDCM through Field-Oriented Vector Control Approach

Caglar Uyulan, Ersen Arslan

Subject: Engineering, Control And Systems Engineering Keywords: Field Oriented Control (FOC); electric scooter; Traction Motor Control System; Sliding Mode Control

Online: 19 October 2022 (08:27:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0222.v1

Predictive Optimal Control of Hybrid Line Haul Trucks

Sourav Pramanik, Sohel Anwar

Subject: Engineering, Control And Systems Engineering Keywords: dynamic program; fuel economy; global optimization; predictive control

Online: 17 October 2022 (03:40:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0143.v1

A Composite Exponential Reaching Law based SMC with Rotating Sliding Surface Selection Mechanism for Two Level Three Phase VSI in Vehicle to Load Applications

Faheem Haroon, Muhammad Aamir, Assad Waqar, Saeed Mian Qaisar, Syed Umaid Ali, Abdulaziz Turki Almaktoom

Subject: Engineering, Control And Systems Engineering Keywords: Sliding Mode Control; Three phase Voltage Source Inverter; Reaching Law; Chattering; Sliding Surface.

Online: 11 October 2022 (05:39:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0059.v1

Detection of Fake Replay Attack Signals on Remote Keyless Controlled Vehicles Using Pre-Trained Deep Neural Network

Qasem Abu Al-Haija, Abdulaziz A. Alsulami

Subject: Engineering, Control And Systems Engineering Keywords: Artificial Intelligence; Cybersecurity; Remote Control; Fake Signals; Replay Attack; Deep Learning, ResNet50, Transfer Learning.

Online: 6 October 2022 (09:16:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0483.v1

A Data-efficiency Training Framework for Deep Reinforcement Learning

Wenhui Feng, Chongzhao Han, Feng Lian, Xia Liu

Subject: Engineering, Control And Systems Engineering Keywords: deep reinforcement learning; data efficient; curriculum learning; transfer learning

Online: 30 September 2022 (10:35:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0381.v1

A Composite Variable Structure PI Controller for Sensorless Speed Control Systems of IPMSM

Weidong Feng, Jing Bai, Zhiqiang Zhang, Jing Zhang

Subject: Engineering, Control And Systems Engineering Keywords: Composite Variable Structure PI; Interior Permanent Magnet Synchronous Motor; improved MRAS

Online: 26 September 2022 (07:36:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0031.v1

Open-loop Control Strategies and Feasible System Response for a Rear-Axle Bicycle Robot

Masiala Mavungu

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous Vehicle; bicycle Robot; Control, path planning; differential equation; initial value problem; Runge-Kutta; scientific computing.

Online: 2 September 2022 (03:19:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0012.v1

Antifragile Control Systems: The Case of An Anti-Symmetric Network Model of the Tumor–Immune–Drug Interactions

Cristian Axenie, Daria Kurz, Matteo Saveriano

Subject: Engineering, Control And Systems Engineering Keywords: Computational Oncology; Cancer; Antifragility; Control Theory

Online: 1 September 2022 (07:45:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0546.v1

Feasible Control Strategies and Feasible System Response for the Navigation of an Autonomous Ship Robot

Masiala Mavungu

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous Ship Robot; Autonomous System; Autonomous Vehicle; Control System; Differential Equations; Intelligent Systems; Mobile Systems; Nonholonomic Constraint; Optimal Control

Online: 31 August 2022 (13:33:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0533.v1

Modeling and Control of a Front-Axle Bicycle Robot

Masiala Mavungu

Subject: Engineering, Control And Systems Engineering Keywords: autonomous vehicle, bicycle Robot, modelling, optimal control, path planning, differential equation, initial value problem, Runge-Kutta, scientific computing

Online: 31 August 2022 (05:02:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0393.v2

Model Predictive Control with On-line Kinetic Parameter Identification Strategy on Anaerobic Digestion Reactors

Luis Gabriel Cortes Ocaña, Julio Barbancho Concejero, María Ángeles De la Rubia Romero, Diego Francisco Larios Marín, Jose Daniel Marín Batista, Angel Fernandez Mohedano, Christian Roviro Portilla Caicedo

Subject: Engineering, Control And Systems Engineering Keywords: model predictive control; asymptotically observer; kinetic parameter observer; homoge-neous reaction systems; anaerobic digestion

Online: 25 August 2022 (05:54:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0422.v1

Certification of Almost Global Phase Synchronization of Coupled Oscillators

Mahmut Kudeyt, Ayşegül Kıvılcım, Elif Köksal Ersöz, Özkan Karabacak

Subject: Engineering, Control And Systems Engineering Keywords: almost global synchronization, coupled phase oscillators, Lyapunov density

Online: 24 August 2022 (13:19:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0395.v1

Extension of the Set of Raw Sludges used in Industrial Anaerobic Digestion Reactors Implementable in Control Schemes Using an On-line Model Parameter Identification Strategy

Luis Gabriel Cortes Ocaña, Julio Barbancho Concejero, María Ángeles De la Rubia Romero, Diego Francisco Larios Marín, Jose Daniel Marín Batista, Angel Fernandez Mohedano, Christian Roviro Portilla Caicedo

Subject: Engineering, Control And Systems Engineering Keywords: asymptotically observer; homogeneous reaction systems; anaerobic digestion; volatile fatty acids

Online: 23 August 2022 (05:18:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0393.v1

Model Predictive Control with On-line Kinetic Parameter Identification Strategy on Anaerobic Digestion Reactors

Luis Gabriel Cortes Ocaña, Julio Barbancho Concejero, María Ángeles De la Rubia Romero, Diego Francisco Larios Marín, Jose Daniel Marín Batista, Angel Fernandez Mohedano, Christian Roviro Portilla Caicedo

Subject: Engineering, Control And Systems Engineering Keywords: model predictive control; asymptotically observer; kinetic parameter observer; homoge-neous reaction systems; anaerobic digestion

Online: 23 August 2022 (04:00:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0358.v1

A Novel Trajectory Planning Method for Parafoil Airdrop System Based on Geometric Segmentation Strategy

Haitao Gao, Jin Tao

Subject: Engineering, Control And Systems Engineering Keywords: trajectory planning; optimal control; parafoil; airdrop system; cuckoo search; geometric segmentation strategy

Online: 19 August 2022 (05:47:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0247.v2

Fault Detection of Landing Gear Retraction/Extension Hydrau-lic System Based on Bond Graph-linear Fractional Transfor-mation Technique and Interval Analytic Redundancy Relations

Yuyuan Cao, Shixuan Duan, Yanjun Li, Xudong Li, Zejian Zhao, Xingye Wang

Subject: Engineering, Control And Systems Engineering Keywords: fault detection; retraction/extension (R/E) hydraulic system; bond graph-linear fractional trans-formation technique; interval analytic redundancy relations; uncertainty; fault signature matrix; residuals; thresholds

Online: 17 August 2022 (03:53:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0254.v1

Dynamic Reliability Analysis of Level Control System of Steam Generator based on BDMP

Tian-Mi Zhou, Di-Liang Li, Feng Qin, Lin-Lu Xia, Xi-Yu Chen, Shi-Liang Zhou

Subject: Engineering, Control And Systems Engineering Keywords: steam generator water level control system; dynamic reliability; Boolean Logic Driven Markov Process; unavailability

Online: 15 August 2022 (08:57:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0177.v1

Towards A Model-Based Pattern Language for New Space-Based Systems

Bhushan Lohar, Robert J Cloutier

Subject: Engineering, Control And Systems Engineering Keywords: model-based system engineering (MBSE); model-based systems architecting (MBSA); model-based pattern language (MBPL); system architecture; logical architecture; SysML patterns; pattern library; systems engineering (SE); pattern language; logical decomposition

Online: 9 August 2022 (09:26:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0455.v1

Projection onto the Set of Rank-Constrained Structured Matrices for Reduced-Order Controller Design

Masaaki Nagahara, Yu Iwai, Noboru Sebe

Subject: Engineering, Control And Systems Engineering Keywords: reduced-order control; rank constraint; linear matrix inequality; alternating projection; convex optimization

Online: 29 July 2022 (09:50:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0386.v1

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

Wafa Hayder, Dezso Sera, Emanuele Ogliari, Abderezak Lashab

Subject: Engineering, Control And Systems Engineering Keywords: Maximum Power Point Tracking (MPPT); Improved Particle Swarm Optimization (IPSO); photo-voltaic (PV); Neural Network and Perturb & Observe method (NN-P&O)

Online: 26 July 2022 (05:41:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0377.v1

CHMM Object Detection Based on Polygon Contour Features by PSM

Shufang Zhuo, Yanwei Huang

Subject: Engineering, Control And Systems Engineering Keywords: object detection; contour; polygonal approximation; piecewise split-merge algorithm; Coupled Hidden Markov Model

Online: 26 July 2022 (02:27:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0307.v1

Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder

Nuha A. S. Alwan, Zahir M. Hussain

Subject: Engineering, Control And Systems Engineering Keywords: deep neural network; deep learning controller; nonlinear plant; adaptive inverse control; robust control; autoencoder; computational complexity; sensor control

Online: 20 July 2022 (13:44:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0247.v1

Fault Detection and Isolation of Landing Gear Retraction/ Extension Hydraulic System Based on BG and GARRs

Yuyuan Cao*, Shixuan Duan, Yanjun Li, Xudong Li, Zejian Zhao, Xingye Wang

Subject: Engineering, Control And Systems Engineering Keywords: fault detection and isolation; landing gear retraction/extension hydraulic system; global analytic redundancy relations; fault signature matrix; residuals; thresholds

Online: 18 July 2022 (04:27:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0176.v1

Revisiting the Detection of Lateral Movement through Sysmon

Christos Smiliotopoulos, Konstantia Barbatsalou, Georgios Kambourakis

Subject: Engineering, Control And Systems Engineering Keywords: Lateral Movement; Sysmon; Dataset; Attacks; Network Security; Hacking

Online: 12 July 2022 (08:23:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0306.v1

FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors

Axiu Mao, Endai Huang, Haiming Gan, Kai Liu

Subject: Engineering, Control And Systems Engineering Keywords: data privacy; animal behaviour; deep learning; distributed learning; client-drift; gradient conflicts

Online: 22 June 2022 (06:08:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0300.v1

Multi-View and Shift Rasterization Algorithm (MVSR) for Effective Identification of Ground in Dense Point Clouds

Martin Štroner, Rudolf Urban, Lenka Línková

Subject: Engineering, Control And Systems Engineering Keywords: Point cloud; Ground filtering; Classification

Online: 22 June 2022 (03:37:45 CEST)

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With the ever-increasing popularity of unmanned aerial vehicles and other platforms providing dense point clouds, universal filters for accurate identification of ground points in such dense clouds are needed. Many filters have been proposed and are widely used, usually based on the determination of an original surface approximation and subsequent identification of points within a predefined distance from such surface. In this paper, we present a new filter. This Multi-view and shift rasterization algorithm (MVSR) is based on an entirely different principle, i.e., on the identification of just the lowest points in individual grid cells, shifting the grid along both planar axis and subsequent tilting of the entire grid – after each of these steps, one lowest point per cell is detected. The principle is presented in detail and compared both visually and numerically to other commonly used ground filters (PMF, SMRF, CSF, ATIN) on three sites with different ruggedness and vegetation density. Visually, the MVSR filter showed the smoothest and thinnest ground profiles, with ATIN the only filter performing comparably (although the profiles were somewhat thicker and not as complete as MVSR-acquired ground). The same was confirmed when comparing ground filtered by other filters with the MVSR-based surface. The goodness of fit with the original cloud is demonstrated by the root mean square deviations (RMSD) of the points from the original cloud found below the MVSR-generated surface (ranging, depending on site, between 0.6-2.5 cm). ATIN again performed closest to MVSR, with RMSDs of ground filtered points found above MVSR-based surface at individual sites ranging between 4.5-7.4 cm. The remaining filters performed comparable in the simplest flat area but poorly in rugged and much-vegetated sites, with RMSDs above the MVSR surface ranging at such sites from 21 to 95 cm. In conclusion, the novel filter presented in this paper performed outstandingly at all sites, identifying the ground points with great accuracy while filtering out the maximum of vegetation/above-ground points. The filter dilutes the cloud somewhat; in such dense point clouds, however, this can be perceived rather as a benefit than as a disadvantage.

Preprint ARTICLE | doi:10.20944/preprints202206.0277.v1

Fuzzy Artificial Intelligence Based Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems

Daniel C. C. Crisóstomo, Thiago F. Do Nascimento, Evandro A. F. Nunes, Elmer Villarreal, Ricardo Pinheiro, Andrés Salazar

Subject: Engineering, Control And Systems Engineering Keywords: Speed control; Fuzzy Controller; Electromagnetic Frequency Regulator (EFR); Wind Energy; Photovoltaics

Online: 21 June 2022 (03:39:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0151.v1

Research on Forecast and Suppression Splashing Method of AOD Furnace

Changjun Guan

Subject: Engineering, Control And Systems Engineering Keywords: Forecast splashing; suppression splashing; AOD; signal fusion; fuzzy control

Online: 10 June 2022 (07:51:53 CEST)

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Preprint REVIEW | doi:10.20944/preprints202206.0134.v1

A Primer on the Factories of the Future

Noble Anumbe, Clint Saidy, Ramy Harik

Subject: Engineering, Control And Systems Engineering Keywords: smart factory; advanced manufacturing; intelligent manufacturing; Cyber Manufacturing; Cyber Physical Systems; Internet of Things; Industry 4.0; Artificial Intelligence; data driven manufacturing

Online: 9 June 2022 (04:05:14 CEST)

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In a dynamic and rapidly changing world, customers’ often conflicting demands plus fluid economic requirements, often driven by geo-politics, have continued to evolve, out-striping the capability of existing production systems. With its inherent shortcomings, the traditional factory has proven to be incapable of addressing these modern-day manufacturing challenges. Recent advancements in Industry 4.0 have catalyzed the development of new manufacturing paradigms (or smart factory visions) under different monikers (e.g., Smart factory, Intelligent factory, Digital factory, Cloud-based factory etc.) would help fix these challenges. Due to a lack of consensus on a general nomenclature for these manufacturing paradigms, the term Future Factory (or Factory of the Future) is here used as a collective euphemism, without prejudice. The Future Factory constitutes a creative convergence of multiple technologies, techniques and capabilities that represent a significant change in current production capabilities, models, and practices. It is a data-driven manufacturing approach and system that harnesses intelligence from multiple information streams i.e., assets (including people), processes, and subsystems to help create new forms of production efficiency and flexibility. Serving both as a review monograph and reference companion, this paper details the meanings, characteristics, and technological underpinnings of the Future Factory. It also elucidates on the architectural models that guide the structured deployment of these modern factories with particular emphasis on three advanced communication technologies capable of speeding up advancements in the field. It not only highlights the relevance of communication between assets but also lays out mechanisms to achieve these interactions using the Administration shell. Finally, the paper also discusses the key enabling technologies that are typically embedded into bare bone factories to help improve their visibility, resilience, intelligence, and capacity, in addition to how these technologies are being deployed and to what effect. At the onset of the study, we were interested in developing a monograph which would serve as a comprehensive but concise review of general principles, fundamental concepts, major characteristics, key building blocks and implementation guidelines for the Future Factory within the overall context of the manufacturing ecosystem, in the age of Industry 4.0. Our hope is that this paper would enrich the extant literature on advanced manufacturing, help shape policy and research, and provide insights on how some of the identified pathways can be diffused into industry.

Preprint ARTICLE | doi:10.20944/preprints202112.0286.v2

Multisource Spatial Data Integration for Use Cases Applications

Francesca Noardo

Subject: Engineering, Control And Systems Engineering Keywords: data integration; interoperability; harmonization; GeoBIM; metadata

Online: 7 June 2022 (11:10:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0104.v1

Augmented Reality to Engage Visitors of Science Museums through Interactive Experiences

Elena Spadoni, Sara Porro, Monica Bordegoni, Ilaria Arosio, Laura Barbalini, Marina Carulli

Subject: Engineering, Control And Systems Engineering Keywords: science museums; cultural heritage; interactive exhibitions; User Experience; extended reality; Augmented Reality

Online: 7 June 2022 (10:31:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0418.v1

The Prediction of Hypertension Risk

Alessandro Massaro, Vito Giardinelli, Gabriele Cosoli, Nicola Magaletti, Angelo Leogrande

Subject: Engineering, Control And Systems Engineering Keywords: Predictions; Machine Learning Algorithms; Correlation Matrix; Tobit Model; Fuzzy c-Means Clustering

Online: 31 May 2022 (13:51:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0379.v1

Analyzing Optimal Battery Sizing in Microgrids Based on the Feature Selection and Machine Learning Approaches

Hajra Khan, Imran Fareed Nizami, Saeed Mian Qaisar, Asad Waqar, Moez Krichen

Subject: Engineering, Control And Systems Engineering Keywords: Battery autonomy; battery size; feature selection; Machine Learning; Optimization algorithms

Online: 27 May 2022 (10:12:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0354.v1

FUSE: Future Urban Simulation Environment Towards Integration of Uncrewed Aerial Vehicles in Low-level Airspace

Toufik Souanef, Dimitrios Panagiotakoupoulos, Antonios Tsourdos, Chris Crockford, Chris Cheetham, Chris Mewse

Subject: Engineering, Control And Systems Engineering Keywords: Digital Twin; Unmanned Traffic management; Geographic Information Systems; Immersive Simulator; Unmanned Aerial Systems

Online: 26 May 2022 (02:58:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0334.v1

Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines

Kassiano Jose Matteussi, Dos Anjos Julio, Valderi Leithardt, Claudio Fernando Resing Geyer

Subject: Engineering, Control And Systems Engineering Keywords: Backpressure; Big Data; Spark Streaming; Stream Processing

Online: 24 May 2022 (11:47:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0223.v1

DeSci - Decentralized Science

Jens Ducrée, Martin Codyre, Ray Walshe, Sönke Barting

Subject: Engineering, Control And Systems Engineering Keywords: digitization; virtualization; digital twin; blockchain; crowdsourcing; decentralization; non-fungible token; NFT; smart contract; oracle; tokenization; digital ownership; consensus; governance; trust; incentivization; staking; reputation systems; reproducibility crisis; exponentiality; digital twin; metaverse; DeSci; decentralized science; citizen science; open science; distributed ledger; digital scarcity

Online: 17 May 2022 (05:50:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0110.v1

Towards Efficient and Deposit-Free Blockchain-Based Spatial Crowdsourcing

Mingzhe Li, Wei Wang, Jin Zhang

Subject: Engineering, Control And Systems Engineering Keywords: blockchain; spatial crowdsourcing; task assignment; smart contract

Online: 9 May 2022 (09:09:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0102.v1

A Structural Approach on Enablers of IoT for Sustainable Development of Smart Cities

Ayusha Thakur, Satyabrata Aich, Rohit Kumar

Subject: Engineering, Control And Systems Engineering Keywords: Enablers of IoT; Interpretive Structural Modeling; Smart Cities; Sustainable Development

Online: 9 May 2022 (05:47:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0010.v1

Age Analysis of Status Updating System with Probabilistic Packet Preemption

Jixiang Zhang, Yinfei Xu

Subject: Engineering, Control And Systems Engineering Keywords: age of information; discrete time status updating system; probabilistic preemption; probability generation function; stationary distribution

Online: 4 May 2022 (13:15:56 CEST)

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The age of information (AoI) metric was proposed to measure the freshness of messages obtained at the terminal node of a status updating system. In this paper, the AoI of discrete time status updating system with probabilistic packet preemption is investigated by analyzing the steady state of a three-dimensional discrete stochastic process. Assuming the queue used in system is Ber/Geo/1/2*/η, which represents that the system size is 2 and the packet in buffer can be preempted by fresher packet with probability η. Instead of considering system’s AoI separately, we use a three-dimensional state vector (n,m,l) to simultaneously track the real time changes of the AoI, the age of packet in server, and the age of packet waiting in buffer. We give the explicit expression of system’s average AoI, and show that the average AoI of system without packet preemption is obtained by letting η=0. When η is set to 1, the mean of AoI of system having Ber/Geo/1/2* queue is obtained as well. Combining the results we have obtained and comparing them with corresponding average continuous AoIs, we propose a possible relationship between average discrete AoI with Ber/Geo/1/c queue and the average continuous AoI with M/M/1/c queue. For each of two extreme cases where η=0 and η=1, we also determine the stationary distribution of AoI using the probability generation function (PGF) method. The relations between average AoI and the packet preemption probability η, as well as AoI’s distribution curves in two extreme cases are illustrated by numerical simulations. Notice that the probabilistic packet preemption may occur, for example, in an energy harvest (EH) node of wireless sensor network, where the packet in buffer can be replaced only when the node collects enough energy. In particular, to exhibit the usefulness of our idea and methods and highlight the merits of considering discrete time systems, in this paper we give much more explanations showing that how the results about continuous AoI is derived by analyzing the corresponding discrete time system, and how the discrete age analysis is generalized to the system with multiple sources. In terms of packet service process, we also propose our idea to analyze system’s AoI when the service time distribution is relaxed to be arbitrary.

Preprint REVIEW | doi:10.20944/preprints202109.0135.v2

Overview of Blockchain Oracle Research

Giulio Caldarelli

Subject: Engineering, Control And Systems Engineering Keywords: Blockchain; Smart Contracts; Oracles; IoT; Bibliometric Analysis

Online: 4 May 2022 (12:07:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0302.v1

Soil Erosion Control from Trash Residues at Varying Land Slopes Under Simulated Rainfall Conditions

Sachin Kumar Singh, Dinesh Kumar Vishwakarma, P. S. Kashyap, Nadhir Al-Ansari, Akhilesh Kumar, Pankaj Kumar, Rohitashw Kumar, Ahmed Elbeltagi

Subject: Engineering, Control And Systems Engineering Keywords: Organic mulching; rainfall simulator; Hydraulic Tilting flume system; Sediment concentration; Sediment outflow rate

Online: 29 April 2022 (12:52:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0184.v1

Health Assessment of Landing Gear Retraction and Extension Hydraulic System based on Improved Risk Coefficient and FCE Model

Shixuan Duan, Yanjun Li, Yuyuan Cao, Xingye Wang, Xudong Li, Zejian Zhao

Subject: Engineering, Control And Systems Engineering Keywords: health assessment; landing gear retraction and extension hydraulic system; improved risk coefficient; fuzzy comprehensive evaluation; fault simulation; maintenance manual

Online: 20 April 2022 (04:52:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0366.v1

Performance Evaluation of Integrated Public Security Areas: Application of the PROMETHEE II Method in the Brazilian Context

Marcio Basilio, Vladecy Pereira, Helder Costa

Subject: Engineering, Control And Systems Engineering Keywords: Military Police; Efficiency; Police performance; Productivity; Decision making; Multicriteria; PROMETHEE II; MCDA

Online: 28 March 2022 (14:09:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0333.v1

Multi-Model Learning to Detect Twitter Hate Speech

Dharmaraj Patil, Tareek Pattewar

Subject: Engineering, Control And Systems Engineering Keywords: Hate speech detection; Social media; Machine learning; Multi-model learning

Online: 25 March 2022 (02:10:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202202.0163.v2

Estimating the Best Exponent of the Modified Universal Soil Loss Equation and Regionalizing the Modified Universal Soil Loss Equation Under Hydro-Climatic Condition of Ethiopia

Manaye Getu Tsige, Andreas Malcherek, Yilma Seleshi

Subject: Engineering, Control And Systems Engineering Keywords: USLE; RUSLE, MUSLE; Ethiopia

Online: 24 March 2022 (14:30:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0233.v2

SATCOM, The Future UAV Communication Link

Nick Barua

Subject: Engineering, Control And Systems Engineering Keywords: UAV; UAS; SATCOM; ISR; Live aerial observations; HALE; HAPS

Online: 24 March 2022 (09:19:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0261.v1

Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting and Roller Blinds’ Opening to Control the Daylight for Economic Power Consumption

Muhammad M.A.S. Mahmoud

Subject: Engineering, Control And Systems Engineering Keywords: energy saving; lighting control; smart lighting; green buildings; building automation

Online: 18 March 2022 (04:19:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0034.v2

A Blockchain-Based Intelligent Machine Learning System for Smart Health Care

Mir Hassan

Subject: Engineering, Control And Systems Engineering Keywords: Blockchain technology; security; Machine learning; Smart System

Online: 17 March 2022 (10:53:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202202.0247.v2

Approach for CO2 Emission Related Cost Functions in the Context of Trade-Off Investigations of a Future Energy Efficient European Aviation

Peter Förster, Bekir Yildiz, Thomas Feuerle, Peter Hecker

Subject: Engineering, Control And Systems Engineering Keywords: cost estimation; all-electric aircraft; European air traffic network

Online: 17 March 2022 (09:04:29 CET)

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Aircraft emissions represent a relevant amount of human induced CO2. Globally, up to 2.5 per cent of such emissions stem from the aviation industry. In order to investigate the effects within the atmosphere, realistic flight profiles are necessary to provide quantitatively tangible values of emissions. The flight profiles and the according fuel consumption can be calculated by using waypoints from flight plans and Base of Aircraft Data (BADA). This paper presents an approach to refine the fuel consumption by integrating the passenger load into the calculation. Since effects of emissions have to be assessed on a greater scale, such as on the European air traffic network, the presented approach provides cost functions for CO2 emissions for different aircraft types and load factors. The cost functions were derived by means of regression analyses of BADA based calculated flight profiles with a step size of one second. The calculations are based on real historic traffic scenarios of several days. The derived aircraft specific fuel burn coefficients enable a simple and efficient integration of CO2 estimations depending on the flight distance, load factor and aircraft type. This can be applied to large traffic scenarios to also study different set-ups such as travel restrictions, other disruptions or an alteration in the traffic system as a whole. In order to enable the assessment of further aspects of such changes to the European air traffic system at large and to foster reproducibility and comparability of related studies, we provide further general-purpose cost estimation functions for several important key characteristics. Besides fuel consumption, we develop cost estimations for air navigation fees and maintenance for conventional aircraft. Those functions are also provided for the design concept of a short-range all-electric aircraft. This propeller aircraft features game-changing technologies such as active laminar flow control, active load alleviation and advanced materials and structure concepts. The approaches discussed in this paper will focus on the generic aspects of aircraft related costs, which can be derived from general available data. For the sake of reproducibility, the results will be made publicly available.

Preprint ARTICLE | doi:10.20944/preprints202203.0241.v1

Wind Turbine Pitch Actuator Regulation for Efficient and Re-liable Energy Conversion: A Fault-Tolerant Constrained Control Solution

Hamed Habibi, Ian Howard, Silvio Simani

Subject: Engineering, Control And Systems Engineering Keywords: Adaptive Constrained Control; Barrier Lyapunov Function; Fault-Tolerant Control; Nussbaum-type function; power regulation; wind turbine benchmark

Online: 17 March 2022 (03:01:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0233.v1

SATCOM, The Future UAV Waiver

Nick Barua

Subject: Engineering, Control And Systems Engineering Keywords: UAV; UAS; Satcom; ISR; Live aerial observations; HALE; SULE

Online: 16 March 2022 (14:07:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0214.v1

Explainable AI-based Alzheimer’s Prediction and Management Using Multimodal Data

Sobhana Jahan, Kazi Abu Taher, M Shamim Kaiser, Mufti Mahmud, Md. Sazzadur Rahman, A. S. M. Sanwar Hosen, In-Ho Ra

Subject: Engineering, Control And Systems Engineering Keywords: Machine learning; Dementia; Data-level fusion

Online: 15 March 2022 (12:31:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0199.v1

Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning based Robust Motion Control for Micropositioners

Shiyun Liang, Ruidong Xi, Xiao Xiao, Zhixin Yang

Subject: Engineering, Control And Systems Engineering Keywords: micropositioners; reinforcement learning; disturbance observer; deep deterministic policy gradient

Online: 15 March 2022 (07:58:27 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202203.0095.v1

An Algorithm for High-Resolution Satellite Imagery Pre-processing

Urmila Shrawankar, Chaitreya Shrawankar

Subject: Engineering, Control And Systems Engineering Keywords: pre-processing; image transformation; image enhancement; geometric correction; radiometric correction; Satellite Imagery

Online: 7 March 2022 (09:43:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0028.v1

Circuit Simulation of Film Resistor Laser Trimming with a Measuring Voltage Source

Vladimir Kondrashov, Vyacheslav Chapkin, Oleg Seredin, Evgenii Zemlyakov, Ekaterina Yu. Pozdeeva

Subject: Engineering, Control And Systems Engineering Keywords: film resistor; laser trimming; circuit model; oriented graph; transformation of nodes

Online: 2 March 2022 (01:53:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0019.v1

Evaluation of Adaptive and Learning in Unmanned Systems

Sung Mo Koo, Henry D. Travis, Timothy Sands

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous surface vehicles (ASV); autonomous underwater vehicle (AUV); Control and guidance; nonlinear control; deterministic artificial intelligence (D.A.I.); model-following; R.L.S.; marine actuators

Online: 1 March 2022 (11:15:37 CET)

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