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Abstract

Respiratory rate measurement is important under different types of health issues. The need for technological developments for measuring respiratory rate has become imperative for healthcare professionals. The paper presents an approach to respiratory monitoring, with the aim to improve the accuracy and efficacy of the data monitored. We use multiple types of sensors on various locations on the body to continuously transmit real-time data, which is processed to calculate the respiration rate. Variations in the respiration rate will help us identify the current health condition of the patient also for diagnosis and further medical treatment. The software tools such as Keil μVision IDE, Mbed Studio IDE, Energia IDE are used to compile and build the system architecture and display information. EasyEDA is used to provide pin map details and complete architecture information.
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Authors and Affiliations

Kanthi M
1
Ravilla Dilli
2

  1. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
  2. Department of Electronics and Communication Engineering at Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Abstract

The paper introduces the distributed framework for determining the shortest path of robots in the logistic applications, i.e. the warehouse with a swarm of robots cooperating in the Real- Time mode. The proposed solution uses the optimization routine to avoid the downtime and collisions between robots. The presented approach uses the reference model based on Dijkstra, Floyd- Warshall and Bellman-Ford algorithms, which search the path in the weighted undirected graph. Their application in the onboard robot’s computer requires the analysis of the time efficiency. Results of comparative simulations for the implemented algorithms are presented. For their evaluation the data sets reflecting actual processes were used. Outcomes of experiments have shown that the tested algorithms are applicable for the logistic purposes, however their ability to operate in the Real-Time requires the detailed analysis.
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Bibliography

[1] Mobile Robot Platforms, Shuttle Automated Storage and Retrieval Systems, Industrial Robotic Manipulators, and Gantry Robots: Global Market Analysis and Forecasts, Informa PLC, https://www.tractica.com/research/warehousing-and-logistics-robots/
[2] J. Miklinska, “Trends in the logistic market and warehouses for logistics service providers-experiences from Poland,” Economic and Social Development: Book of Proceedings, 2020, 193-202.
[3] M. Khamphroo, N. Kwankeo, K. Kaemarungsi, K. Fukawa, “MicroPython-based educational mobile robot for computer coding learning,” 2017 8th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES), Chonburi, 2017.
[4] K. Dokic, B. Radisic, M. Cobović, “MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices,” Springier, 2020, pp.33-34, https://doi.org/10.1007/978-3-030-43364-2_4.
[5] N. Deo, “Graph theory with applications to engineering and computer science,” Englewood Cliffs, NJ: Prentice-Hall, 1974.
[6] G. Laporte, ”The traveling salesman problem: An overview of exact and approximate algorithms,” EJOR, 1992, Vol.59, pp. 231-247.
[7] Lu Feng, “Shortest path algorithm: Taxonomy and Advance in Research”, Acta Geodaetica et Cartographica Sinica, vol. 30, no. 3, pp. 269-275, 2001.
[8] D. Dobrilovic, V. Jevtic, I. Beker, Z. Stojanov, “Shortest-path based Model for Warehouse Inner Transportation Optimization” in 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)
[9] Y. Liu, T. M. Vitolo, “Graph Data Warehouse: Steps to Integrating Graph Databases Into the Traditional Conceptual Structure of a Data Warehouse,” 2013 IEEE International Congress on Big Data, 2013, pp. 433-434, https://doi.org/10.1109/BigData.Congress.2013.72
[10] H.Y. Jang, J.U. Sun, “A Graph Optimization Algorithm for Warehouses with Middle Cross Aisles,” Applied Mechanics and Materials, 2011, 145. 354-358, https://doi.org/10.4028/www.scientific.net/AMM.145.354.
[11] B.D. Acharya, M.K. Gill, “On the Index of Gracefulness of a Graph and the Gracefulness of Two-Dimensional Square Lattice Graphs, ” Indian J. Math., 1981, 23, 81-94.
[12] T.H. Cormen, C.E. Leiserson, and R.L. Rivest, “Introduction to algorithms,” MIT Press, 1994.
[13] Warehouse material flows and flow charts, https://www.mecalux.co.uk/warehouse-manual/warehouse-design/warehouse-material-flowchart
[14] A. Niemczyk et al., “Organizacja i monitorowanie procesów magazynowych,” Instytut Logistyki i Magazynowania, 2014.
[15] A. Szymonik, D. Chudzik, “Logistyka nowoczesnej gospodarki magazynowej,” Difin, 2018.
[16] B. Mbakop A. Kevine, “The Effectiveness of ABC Cross Analysis on Products Allocation in the Warehouse,” 2018, January – February, Vol. 5, Issue 1, pp: 11-30.
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Authors and Affiliations

Tomasz Markowski
1
Piotr Bilski
2
ORCID: ORCID

  1. Lukasiewicz – Institute of Logistics and Warehousing, Poland
  2. Warsaw University of Technology, Poland
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Abstract

A new method of noise generation based on software implementation of a 7-bit LFSR based on a common polynomial PRBS7 using microcontrollers equipped with internal ADCs and DACs and a microcontroller noise generator structure are proposed in the paper. Two software applications implementing the method: written in ANSI C and based on the LUT technique and written in AVR Assembler are also proposed. In the method the ADC results are used to reseed the LFSR after its each full work cycle, what improves randomness of generated data, which results in a greater similarity of the generated random signal to white noise, what was confirmed by the results of experimental research. The noise generator uses only the internal devices of the microcontroller, hence the proposed solution does not introduce hardware redundancy to the system.

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Authors and Affiliations

Zbigniew Czaja
Michał Kowalewski
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Abstract

In the paper a new implementation of a compact smart resistive sensor based on a microcontroller with internal ADCs is proposed and analysed. The solution is based only on a (already existing in the system) microcontroller and a simple sensor interface circuit working as a voltage divider consisting of a reference resistor and a resistive sensor connected in parallel with an interference suppression capacitor. The measurement method is based on stimulation of the sensor interface circuit by a single square voltage pulse and on sampling the resulting voltage on the resistive sensor. The proposed solution is illustrated by a complete application of the compact smart resistive sensor used for temperature measurements, based on an 8-bit ATxmega32A4 microcontroller with a 12-bit ADC and a Pt100 resistive sensor. The results of experimental research confirm that the compact smart resistive sensor has 1°C resolution of temperature measurement for the whole range of changes of measured temperatures.

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Authors and Affiliations

Zbigniew Czaja

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