Robot Task Allocation Using Signal Propagation Model

AbstractThe problem of Multi-Robot Task Allocation has received significant attention over last years. The solutions with decentralized decision making have proven better durability than those using centralized planning. In this paper a method which does not use any explicit communication is presented. It is especially suitable for very high dynamics of tasks priorities, when other methods must often perform time-consuming replanning. The method uses a simple model of signal emission and propagation in the environment. Simulation experiments are provided to demonstrate usability and interesting features of the method

Proceedings of an emergency medical team (paramedics) with a patient in anaphylaxis

Introduction: Anaphylactic shock is an acute allergic body reaction to allergens. This condition threatens the patient's life and health. Anaphylaxis can be caused by intolerance to many nutrients, medications or hymenoptera stings.Aim of the manuscript: The aim of the manuscript was to determine the pattern of proceedings of emergency medical teams with patients in anaphylactic shock.Material and methods: The individual case method of a patient stung by a Hymenoptera insect, for whom a medical rescue team was dispatched, was used. The research material was obtained thanks to the analysis of medical rescue operations and dispatch orders.Results: The analysis of medical records of the injured person depicted an appropriate algorithm of proceedings with a patient in anaphylactic shock. In anaphylaxis, it is important to gather information as soon as possible, make an accurate and prompt diagnosis, and provide immediate pharmacotherapy. In this case, the first-line drug is Adrenaline, which prevents the release of histamine and reverses the effects of shock. Further treatment requires oxygen, fluids and second-line pharmacotherapy. Conclusions: The emergency medical team followed the applicable algorithms and current knowledge. It implemented appropriate medical rescue operations, thanks to which the condition of the injured was stabilized. The first step is to stop the exposure to the allergen

Experimental verification of Hyper-V performance isolation level

The need for cost optimization in a broad sense constitutes the basis of operation of every enterprise. In the case of IT structure, which is present in almost every field of activity these days, one of the most commonly applied technologies leading to good cost-to-profit adjustment is virtualization. It consists in locating several operational systems with IT systems on a single server. In order for such optimization to be carried out correctly it has to be strictly controlled by means of allocating access to resources, which is known as performance isolation. Modern virtualizers allow to set up this allocation in quantitative terms (the number of processors, size of RAM, or disc space). It appears, however, that in qualitative terms (processor's time, RAM or hard disc bandwidth) the actual allocation of resources does not always correspond with this configuration. This paper provides an experimental presentation of the achievable level of performance isolation of the Hyper-V virtualizer

Application of computational intelligence methods for the automated identification of paper-ink samples based on LIBS

Laser-induced breakdown spectroscopy (LIBS) is an important analysis technique with applications in many industrial branches and fields of scientific research. Nowadays, the advantages of LIBS are impaired by the main drawback in the interpretation of obtained spectra and identification of observed spectral lines. This procedure is highly time-consuming since it is essentially based on the comparison of lines present in the spectrum with the literature database. This paper proposes the use of various computational intelligence methods to develop a reliable and fast classification of quasi-destructively acquired LIBS spectra into a set of predefined classes. We focus on a specific problem of classification of paper-ink samples into 30 separate, predefined classes. For each of 30 classes (10 pens of each of 5 ink types combined with 10 sheets of 5 paper types plus empty pages), 100 LIBS spectra are collected. Four variants of preprocessing, seven classifiers (decision trees, random forest, k-nearest neighbor, support vector machine, probabilistic neural network, multi-layer perceptron, and generalized regression neural network), 5-fold stratified cross-validation, and a test on an independent set (for methods evaluation) scenarios are employed. Our developed system yielded an accuracy of 99.08%, obtained using the random forest classifier. Our results clearly demonstrates that machine learning methods can be used to identify the paper-ink samples based on LIBS reliably at a faster rate

PRODUCT AND PURCHASING STRATEGY OF EQUIPMENT AND ARMAMENTS OF THE POLISH ARMED FORCES

The current political situation in the world, marked by the conventional military conflict between Russia and Ukraine, growing contradictions and the desire to redefine the international order obviously translate into increased interest in the armaments market. The authors undertook to work out the issue related to the definition of a new battlefield, factors determining the demand for weapons. This topic is particularly relevant at the time of the current events beyond Poland’s eastern border. Military threats resulting from the geographic location and neighborhood of Poland clearly place us as an important, geostrategic player. Only a modernly equipped army is able to ensure the security and integrity of its borders and this modern equipment should be produced domestically as much as possible. The questions that the article tried to answer concern the following: what product and purchase strategy should be implemented by the Polish Armed Forces to face current and future threats? And what should be the direction of implementation of equipment and armaments based on the most modern solutions for production. Therefore, four concepts of building a strategy and the conditions determining its development were presented, in particular from the angle of the Russian-Ukrainian war

Współpraca jako rezultat mutacji i dziedziczenia w grach typu PD/PG

Podejście w grach ewolucyjnych, takich jak Dylemat więźnia, jest oparte przede wszystkim na spójnej strategii. W prezentowanym artykule zaproponowane zostało podejście, w którym współpraca dwóch więźniów może wynikać z mutacji oraz dziedziczenia. System ten ma charakter dylematu społecznego, w którym możliwe jest ustawienie przez każdego z agentów pożądanej dla niego liczby uczestników gry. Ponadto zostały zdefiniowane dwa podstawowe mechanizmy: wahania, które w wyniku mutacji prowadzi do współpracy, a także doboru naturalnego, który ma tendencję do promowania oszustów, w związku z czym zakłóca proces współpracy. W symulacjach numerycznych zostało wykazane, że wzajemne oddziaływanie między dwoma mechanizmami prowadzi do równowagi, a niecelowe strategie są konieczne do nawiązania i utrzymania współpracy między agentami. Tak więc, zaczynając od populacji nie współpracujących agentów, w wyniku procesu ewolucji, może skończyć się na populacji złożonej ze współpracujących grup ze średniej wielkości grupami określonymi przez stopień wahania oraz funkcję spłacającą. Artykuł dokładnie wyjaśnia wyniki numerycznych testów.The approach of evolutionary games like prisoner’s dilemma, among others, is based on a consistent strategy. We propose an experimentally verified system where cooperation can arise out of two simple factors: mutation and inheritance. This system has a social dilemma property and allows each agent to set its own desired number of participants. There are two essential mechanisms: fluctuation through which mutation leads to cooperation, and natural selection which tends to promote cheaters and therefore disrupts the cooperation. It is shown in numerical simulations that the interplay between both mechanisms leads to an equilibrium and that no intentional strategies are necessary to establish and sustain cooperation. Thus, starting from a population of non-cooperating agents, natural evolution can end with a population composed of cooperating groups with the mean group size determined by the fluctuation rate and the pay-off function. A thorough analytical explanation of numerical results is provided

Dynamika dystrybucji współautorów

W niniejszym artykule, na podstawie bazy artykułów naukowych, opisano ilościowy efekt wzrostu współpracy uczonych, która objawia się zmianami cech rozkładu liczby współautorów artykułu w czasie. Rozkład liczby współautorów artykułu dostępnego w bazie danych zmienia się w czasie z maksimum dla jednego autora do maksimum kilku autorów. Do wyjaśnienia dynamiki zmian rozkładu liczby współautorów zaproponowano model dylematu społecznego. Spośród trzech została wybrana jedna strategia współpracy odnosząca największe sukcesy.In the present paper, the case of a database of scientific articles is described. There can be observed the quantitative effects of the increasing strength of cooperation between scholars. It is manifested in time-related features changes of the numbers distribution of a single co-authors’ article. The distribution of the number of co-authors of an article recorded in the database evolves with time from a profile with no more than one author to a profile with several authors. A social dilemma model is proposed to explain the dynamics of changes in the distribution of the number of co-authors. The most successful strategy of the three considered alternative strategies of cooperation is selected

Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms

The man-machine interface (MMI) is one of the most exciting areas of contemporary research. To make the MMI as convenient for a human as possible, it is desirable that efficient algorithms for recognizing body language are developed. This paper presents a system for quick and effective recognition of gestures of hand body language, based on data from a specialized glove equipped with ten sensors. In the experiment, 10 people performed 22 hand body language gestures. Each of the 22 gestures was executed 10 times. Collected data were preprocessed in multiple ways and three machine learning algorithms were designed based on classifiers (probabilistic neural network, support vector machine, and k-nearest neighbors algorithm) trained and tested by a tenfold cross-validation technique. The best designed classifiers gained effectiveness of gesture recognition at κ = 98.24% with a very short time of testing, below 1 ms. The experiments confirm that efficient and quick recognition of hand body language is possible

Person Recognition Based on Touch Screen Gestures using Computational Intelligence Methods

Biometrics is based on the analysis of biometric features and is usually used for person recognition. In this article we analyze biometric features related to touch screen gestures. The proposed approach to person identification has a great application potential due to the popularity of mobile devices, so research in this area will be an important direction of technological development. The aims of this research are to design and build a data acquisition system to collect surveys resulting from the execution of single finger gestures on a mobile device screen and to propose data preprocessing procedure and to indicate the best classification method for person recognition based on these surveys. The experiment with fifty persons, nine gestures and ten repetitions was performed, so 4 500 surveys acquired and analyzed within the developed system. Depending on the classification method the accuracy of the task of gesture-based person recognition was in the range from 96.60% to 99.29%. All the patterns, which achieved the highest performance in terms of the typical performance measures consist of a single connected movement of a finger over the touch screen. The patterns which include multiple disconnected segments and/or taps are less successful in the task of recognizing people

Atrial fibrillation as a frequent reason for calls by Emergency Medical Teams

Introduction. Atrial fibrillation is the most common supraventricular arrhythmia which is also a frequent cause of calls by Emergency Medical Services Teams.The purpose of the work was presentation of the conduct of the Medical Rescue Teams in about patients with atrial fibrillation. Research methodology. The study included an 86-year-old woman who was called by the Medical Rescue Team due to increasing weakness accompanied by chest pain and dyspnoea. At the patient after a thorough medical history and physical examination, the first episode of atrial fibrillation was found. An individual case study method was used. The study was conducted on the basis of a medical rescue cardthose. Conclusions.There is no one size fits all regimen for the management of patients with atrial fibrillation. There are algorithms that facilitate the implementation of appropriate treatment. The rescue operation must always be tailored to the individualthe patient's health status and modified as necessary. Thanks to this procedure, paramedics minimize the chances of making a mistake and improve the patient's health.</p