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Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control

Internet of Things and Cyber-Physical Systems 2024年第1期4卷 24-31页

作者： Zivelonghi, Alessandro Giuseppi, Alessandro Dep. of Applied Mathematical Science IIS "Calabrese-Levi" VR San Pietro in Cariano Italy PowerConsulting Studio San Pietro in Cariano Verona Italy Dept. of Computer Control and Management Engineering University of Rome "La Sapienza" Via Ariosto 25 Rome00185 Italy

Smart Healthy Schools (SHS) are a new paradigm in building engineering and infection risk control in school buildings where the disciplines of Indoor Air Quality (IAQ), IoT (Internet of Things) and Artificial Intelligence (AI) merge together. In the post-pandemic era, equipping schools with a network of smart IoT sensors has become critical to aspire for the optimal control of the IAQ and lowering the airborne infection risk of several pathogens, indirectly related to cumulated human emitted CO2 levels over time. Thermal energy waste in winter due to improved air renewal remains of major concern but can be well monitored within a SHS monitoring architecture thanks to the flexibility of the LoRaWAN protocol able to process also a large amount of energy and climatic data at room and building scale. In this work, we report the design of the AulaSicura platform, an IoT control system co-designed by the main author and Gizero Energie to implement the SHS paradigm via clearly visible (and audible) alarm signalling in existing and new school buildings. The cloud-based LoRa system is capable of continuous and simultaneous monitoring of a variety of sensors and IAQ parameters including indoor/oudoor temperatures, rel. humidities and human-emitted excess CO2. The multi-room monitoring concept of indoor-CO2 levels allows centralized control of natural ventilation levels in individual classrooms and can handle (quasi)-real-time data, relevant for data post-processing and future developments in (quasi)-real-rime assessment of IAQ and infection risk levels at single room scale. The sensor network is also extensible to up to one thousand of classrooms per LoRa-node allowing centralized control of entire school districts at an urban scale. Moreover, through Modbus-LoRa I/O converters, AulaSicura can also control the same amount of mechanical ventilation units per node either in pure or hybrid mechanical ventilation modes. © 2023 The Authors

关键词： Internet of things

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Concept of a data centralization system for a railway transportation and station management systems

Concept of a data centralization system for a railway transp...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Waldemar Bauer Katarzyna Grobler-Dębska Włodzimierz Woźniak Dep. of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland Łukasiewicz Research Network - PoznańInstitute of Technology Poznan Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

This paper advocates for the digitization of transportation enterprises, focusing on the railway industry’s need for integrated ticketing and asset management systems. It introduces Data Lake technology as a solution for centralized data management, enabling railway companies to enhance operational efficiency and improve decision-making processes. By integrating diverse data sources within the Data Lake framework, the paper demonstrates the potential for achieving holistic insights and predictive analytics to optimize railway operations. Practical implementation of Data Lake in the MOTIONAL project exemplifies its efficacy in real-world applications, underscoring its pivotal role in modernizing railway transportation and station management systems.

关键词： Soft sensors Decision making Transportation Focusing Lakes Big Data applications Rail transportation

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model 3

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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3rd IEEE International Conference on Electronic Engineering, ICEEM 2023

作者： Elshabrawy, Mahmoud Eid, Marwa M. Abdelhamid, Abdelaziz A. El-Kenawy, El-Sayed M. Ibrahim, Abdelhameed Delta Higher Institute of Engineering and Technology Dept. of Communications & Electronics Mansoura Egypt Delta University for Science and Technology Faculty of Artificial Intelligence Mansoura35111 Egypt Ain Shams University Faculty of Computer and Information Sciences Dep. of Computer Science Cairo Egypt University Mansoura Faculty of Engineering Computer Engineering and Control Systems Dept. Egypt

ISBN: (纸本)9798350323511

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models. © 2023 IEEE.

关键词： Ant colony optimization

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Solving the vehicle routing problem with deep reinforcement learning

arXiv

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arXiv 2022年

作者： Foà, Simone Coppola, Corrado Grani, Giorgio Palagi, Laura Sapienza University of Rome Dep. of Computer Science Control and Management Engineering Rome Italy Sapienza University of Rome Dep. of Statistical Science Rome Italy

Recently, the applications of the methodologies of Reinforcement Learning (RL) to NP-Hard Combinatorial optimization problems has become a popular topic. This is essentially due to the nature of the traditional combinatorial algorithms, often based on a trial-and-error process. RL aims at automating this process. At this regard, this paper focuses on the application of RL for the Vehicle Routing Problem (VRP), a famous combinatorial problem that belongs to the class of NP-Hard problems. In this work, as first, the problem is modeled as a Markov Decision Process (MDP) and then the PPO method (which belongs to the Actor-Critic class of Reinforcement learning methods) is applied. In a second phase, the neural architecture behind the Actor and Critic has been established, choosing to adopt a neural architecture based on the Convolutional neural networks, both for the Actor and the Critic. This choice resulted effective to address problems of different sizes. Experiments performed on a wide range of instances show that the algorithm has good generalization capabilities and can reach good solutions in a short time. Comparisons between the algorithm proposed and the state-of-the-art solver OR − TOOLS show that the latter still outperforms the Reinforcement learning algorithm. However, there are future research perspectives, that aim to upgrade the current performance of the algorithm *** Codes 90-08 © 2022, CC BY.

关键词： Reinforcement learning

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Solutions for Digital Interaction of a Resilient Energy Community in a Service-oriented Framework 12

Solutions for Digital Interaction of a Resilient Energy Comm...

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12th International Conference and Exposition on Electrical and Power Engineering, EPE 2022

作者： Sanduleac, Mihai Ionescu, Constantin Mandis, Alexandru Gropa, Victor Efremov, Cristina Sanduleac, Vlad Department of Power Systems Faculty of Energy Engineering University Politehnica of Bucharest Bucharest Romania Dep. of Energy Generation and Use Faculty of Energy Engineering University Politehnica of Bucharest Bucharest Romania Faculty of Energetics and Electrical Engineering Technical University of Moldova Chisinau Moldova Department of Computer Science and Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

ISBN: (数字)9781665489942

ISBN: (纸本)9781665489942

Energy communities are emerging entities which need their own Information and Communication System. Resilience is a key metric of such communities, and it has to be implemented for both energy supply versus public network outages and for its information system versus cyber-attacks, acting as cyber-citadels which have to resist external malicious attacks while having also digital interactions with external entities. The paper presents solutions for a resilient energy community with appropriate implementations of digital interaction for data exchange, in order to acquire external energy service for specialized companies and to deliver also information and communication-related services for external users. Principles of a Contractual Data Protection Regulation are presented, as an adaptation of data protection tailored for automated energy services and based on secure data exchange. The principles are verified in a demonstration project which has also external entities with digital interaction. © 20XX IEEE.

关键词： Cybersecurity

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PUSH: a primal heuristic based on Feasibility PUmp and SHifting

arXiv

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arXiv 2022年

作者： Agasucci, Valerio Coppola, Corrado Grani, Giorgio Sapienza University of Rome Dep. of Computer Science Control and Management Engineering Rome Italy Sapienza University of Rome Dep. of Statistical Sciences Rome Italy

This work describes PUSH, a primal heuristic combining Feasibility Pump and Shifting. The main idea is to replace the rounding phase of the Feasibility Pump with a suitable adaptation of the Shifting and other rounding heuristics. The algorithm presents different strategies, dep.nding on the nature of the partial rounding obtained. In particular, we distinguish when the partial solution is feasible, infeasible with potential candidates and infeasible without candidates. We used a threshold to indicate the percentage of variables to round with our algorithm and which other to round to the nearest integer. Most importantly, our algorithm tackles directly equality constraints without duplicating rows. We select the parameters of our algorithm on the 19 instances provided for the Mip Competition 2022. Finally, we compared our approach to other start heuristics, like Simple Rounding, Rounding, Shifting and Feasibility Pump on the first 800 MIPLIB2017 instances ordered by the number of non *** Codes 90-08 Copyright © 2022, The Authors. All rights reserved.

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Consistent Event-Triggered Consensus on Complete Graphs

Consistent Event-Triggered Consensus on Complete Graphs

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IEEE Conference on Decision and control

作者： Duarte J. Antunes David Meister Toru Namerikawa Frank Allgöwer W.P.M.H. Heemels Dep. of Mechanical Eng. Eindhoven Control Systems Technology Group University of Technology the Netherlands Institute for Systems Theory and Automatic Control University of Stuttgart Germany School of Integrated Design Engineering Graduate School of Science and Technology Keio University Japan

This paper starts by considering an optimal control formulation of the consensus problem on complete graphs with a cost capturing disagreement and agents modeled by integrators. An optimal control policy for this problem is shown to be the well-known consensus algorithm by which each agent resets its state to the average of its and other agents' state values received at every time step. The framework is extended to the case where agents can only exchange information periodically, with a period larger than one. Then an event-triggered control strategy is proposed that results in a better cost than that of the optimal periodic one with the same average transmission rate, that is, it is consistent. According to this strategy, each agent distributedly transmits its state if the error between its current state and a common consensus estimate based on previously transmitted agents' data exceeds a threshold. Simulation results are presented to illustrate the proposed strategy.

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An Analysis of Haskell Parallel Programming Model in the HaLVM 4

An Analysis of Haskell Parallel Programming Model in the HaL...

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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Cheon, Junseok Kim, Yeoneo Hur, Taekwang Byun, Sugwoo Woo, Gyun Dep. of Electrical and Computer Engineering Pusan National University Korea Republic of Dep. of Computer Science Kyungsung University Korea Republic of Smart Control Center of LG Electronics Korea Republic of

Recently, cloud computers are widely used due to the development of computing environment and network speed. Unikernel is considered to be an attractive operating system in the manycore environment that effectively provides cloud computers. HalVM is a unikernel coded in Haskell. In this paper, we analyze the performance of Haskell running in a unikernel, which has shown good parallel programming performance in a manycore environment. In this paper, we analyze the performance of Haskell running in a unikernel, while Haskell has shown good performance in a manycore environment. To do this, we select HaLVM as the target operating system and analyze the performance by testing various Haskell parallel programming models. Test result shows that HaLVM is scalable only on IVC. We also implement a library to make programming with IVC more convenient, and use this library to compare extensibility experiments. Our test shows HaLVM's scalability is 112.42% higher than Linux environment. © Published under licence by IOP Publishing Ltd.

关键词： computer operating systems

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SSAM: A Haskell Parallel Programming STM Based Simple Actor Model 4

SSAM: A Haskell Parallel Programming STM Based Simple Actor ...

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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Kim, Y. Cheon, J. Hur, T. Byun, S. Woo, G. Dep. of Electrical and Computer Engineering Pusan National University Korea Republic of Dep. of Computer Science Kyungsung University Korea Republic of Smart Control Center of LG Electronics Korea Republic of

As computers with manycore architecture are being widely spread, parallel programming becomes a pending issue. While parallel programming has been a challenging issue, Haskell is known to be of the best available one. The immutability and declarative nature of Haskell suit well the need for parallelism. In our previous work, we implemented the SAM, a parallel programming model based on Haskell. In this paper, we propose the SSAM, an updated version of SAM, by solving the performance overhead of SAM socket. We discuss the architecture of SSAM and its major functions and show the 14% scalability upgrade in a performance test. © Published under licence by IOP Publishing Ltd.

关键词： Parallel programming

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Neuromorphic Sensors with Visible Light Communications 4

Neuromorphic Sensors with Visible Light Communications

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4th West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2022

作者： Hulea, Mircea Uleru, George-Iulian Younus, Othman Isam Rajbhandari, Sujan Ghassemlooy, Zabih Fac. of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Iasi Romania Optical Communications Research Group Northumbria University Dep. of Physics and Electrical Eng. Newcastle upon Tyne United Kingdom Dsp Centre of Excellence Bangor University Bangor United Kingdom Optical Communications Research Group Northumbria University Newcastle upon Tyne United Kingdom

ISBN: (纸本)9781665409131

Spiking neural networks (SNN) can control single-joint robotic arms' precise rotation and force when shape memory alloy (SMA) actuators are used. SNN receives feedback from neuromorphic sensors for controlling anthropomorphic fingers, which typically respond to the flexion angle and the force applied to the fingertips. The robotic fingers and hands are in relative motion with the robot's body, which typically includes the main unit for the limb's motion control. An elegant method to implement the connection between the main control unit and the neuromorphic sensors on limbs is to use visible light communication technology. This work presents a system that uses the recently introduced optical axons to connect the neuromorphic force sensors placed on fingers and the main electronic SNN that controls the finger's motion. The SNN behaviour is evaluated comparatively with and without optical axons when the hand moves relatively to the neural control unit (NCU), which regulates the finger's force. The expected results show that despite small oscillations of the finger force during steady-state, the robotic hand can hold on to an object while moving in the vicinity of NCU. © 2022 IEEE.

关键词： Robotic arms

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