scholarly journals Modelling of the microrelief impact to the cross country movement

Author(s):  
Jan Mazal ◽  
Marian Rybanský ◽  
Agostino G. Bruzzone ◽  
Libor Kutěj ◽  
Radomir Scurek ◽  
...  

Ground maneuver in natural environment is usually limited by a number of obstacles called micro relief, which are defined as man-made and natural both elevated and depressed topographic forms that cannot be expressed with regard to its relative small height differences. This terrain feature is present almost in all types of environment and extend the “off-road” path in average about certain coefficient, dependent on the type of the area. This extension should be taken in account in particular planning and decision making process tighten to a “just in time” concept, widely present for example in the operational environment. The aim of the article is to describe the methodology of evaluation of the influence of micro-relief shapes on the mobility of military vehicles. The article is based on the statistical determination of the extent of micro-relief shapes in the territory of the Czech Republic

2015 ◽  
Vol 21 (3) ◽  
pp. 699-705
Author(s):  
Dana Kristalova

Abstract War Conflicts in the past twenty years have shown the need to digitalize the battlefield. The commander needs a lot of input data for his right decision. These data are necessary for an automated decision-making process. For the successful planning of routes of movement, whether in peace or combat conditions, it is required to know the terrain and at the same time the use of algorithms for finding the correct paths. The determination of the level of Cross-Country Movement (abbr. CCM), or also the traffic ability of the terrain, is the basis for this right decision. Analysis of the Cross-Country Movement means the assessment of several geographical and tactical, technical and human factors together, i.e. that it is multi-criterial analysis. Finding the optimal path based on specified criteria (security, distance, economic cost, time) is not a trivial matter and therefore testing road conditions in the field is carried out. These tests validate the previous calculations.


Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.


Author(s):  
Евгений Николаевич Коровин ◽  
Екатерина Ивановна Новикова ◽  
Олег Валерьевич Родионов

В статье рассматриваются разработки методов интеллектуальной поддержки процесса диагностики сахарного диабета, а также определение его типа. В последние годы количество людей, страдающих данным заболеванием, неуклонно растет, а без своевременной диагностики эта патология может нанести огромный вред организму человека. Сахарный диабет 1 типа опасен тем, что в основном возникает у людей молодого возраста. Оперативное обнаружение диабета, а также определение его типа, поможет не только избежать возможных осложнений, но и в некоторых случаях предотвратить смерть пациента. Информационные технологии все чаще используются в различных сферах деятельности для разработки новых или совершенствования существующих методов обработки данных, особенно это можно заметить в сфере медицины. В настоящее время врач самостоятельно ставит диагноз, основываясь на результатах различных анализов, однако, для ускорения процесса принятия решения, можно воспользоваться методами математического моделирования, а именно: моделями диагностики диабета на основе нечеткой логики. Для наибольшего удобства данный способ распознавания заболевания впоследствии можно реализовать в информационно-программное обеспечение, которое сможет еще больше увеличить эффективность и скорость распознавания патологии The article discusses the issues of the incidence of diabetes in the population, in particular, the definition of its type. In recent years, the number of people suffering from this disease has been steadily growing, and without timely diagnosis, this pathology can cause enormous harm to the human body. Prompt detection of diabetes, as well as determination of its type, will help not only avoid possible complications, but also in some cases prevent the death of the patient. Information technology is increasingly being used in various fields of activity to develop new or improve existing methods of data processing, especially in the field of medicine. Currently, the doctor independently makes a diagnosis based on the results of various analyzes, however, to speed up the decision-making process, you can use the methods of mathematical modeling, namely, models of diabetes diagnostics based on fuzzy logic. For the greatest convenience, this method of disease recognition can subsequently be implemented in information software, which can further increase the efficiency and speed of pathology recognition


2020 ◽  
Vol 12 (2) ◽  
pp. 40-41
Author(s):  
Maciej Zaorski

The implementation of modern tools in the military system constitutes an important step in supporting the decision-making process. The impact of new GIS technologies is important for the assessment of the battlefield . According to assumptions, reconnaissance is a continuous process that crowns the assessment of the opponent and of the battlefield. Site assessment is an element of the command process where the conclusions of the task analysis includes an assessment of the potential opponent together with his modus operandi and an assessment of the environment . As part of the Information Preparation of the Battlefield (hereinafter referred to as IPB), the identification of threats and limitations has an impact on the identification of potential approach routes, traffic corridors and maneuvers in assigned areas and lanes . The end result is the determination of the maneuverability of forces and resources owned or those of the opponent. The information is to relate to the impact of the terrain components on the scope and nature of conducted activities, and the hydrometeorological conditions are to relate to the impact on the terrain, equipment, and people . As far as it regards the analysis of the environment and the opponent, it is possible to apply modern technologies to shorten the time for the analyses performed within the ongoing decision-making process.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Kelilah L. Wolkowicz ◽  
Robert D. Leary ◽  
Jason Z. Moore ◽  
Sean N. Brennan

Abstract Typically, mobile vehicles follow the same paths repeatedly, resulting in a common path bounded with some variance. These paths are often punctuated by branches into other paths based on decision-making in the area around the branch. This work applies a statistical methodology to determine decision-making regions for branching paths. An average path is defined in the proposed algorithm, as well as boundaries representing variances along the path. The boundaries along each branching path intersect near the decision point; these intersections in path variances are used to determine path-branching locations. The resulting analysis provides decision points that are robust to typical path conditions, such as two paths that may not clearly diverge at a specific location. Additionally, the methodology defines decision region radii that encompass statistical memberships of a location relative to the branching paths. To validate the proposed technique, an off-line implementation of the decision-making region algorithm is applied to previously classified wheelchair path subsets. Results show robust detection of decision regions that intuitively agree with user decision-making in real-world path following. For the experimental situation of this study, approximately 70% of path locations were outside of decision regions and thus could be navigated with a significant reduction in user inputs.


Author(s):  
Andrea Holešinská

The paper deals with the evaluation of the state tourism policy of the Czech Republic. Primarily it focuses on the accomplishment of the strategic document the Concept of the State Tourism Policy of the Czech Republic for 2014-2020. The activities related to particular measures are examined and as well as the implementation of tools used by the state tourism policy is analysed. The state tourism policy of the Czech Republic is also confronted with the theoretical background. Therefore, the attention is paid to the decision-making process, the legitimacy of state interference in tourism and the role of the state in tourism policy. It is emphasized that external factors (e.g. global trends or COVID-19) have an impact on the decision-making process and the direction of tourism policy. The paper is based on the qualitative analysis of documents, which is supported by the analysis of secondary data sources.


2016 ◽  
Vol 45 (1) ◽  
pp. 238-247 ◽  
Author(s):  
Arun R. Pandiri ◽  
Roy L. Kerlin ◽  
Peter C. Mann ◽  
Nancy E. Everds ◽  
Alok K. Sharma ◽  
...  

One of the principal challenges facing a toxicologic pathologist is to determine and differentiate a true adverse effect from a nonadverse or an adaptive response. Recent publications from the Society of Toxicologic Pathology (STP) and the European STP provide guidance for determining and communicating adversity in nonclinical toxicology studies. In order to provide a forum to inform and engage in a discussion on this important topic, a continuing education (CE) course was held during the 2016 STP Annual meeting in San Diego, CA. The lectures at this course provided guidance on determining and communicating adversity using case studies involving both clinical pathology and anatomic pathology. In addition, one talk also focused on data quality, study design, and interpretation of artifacts that could hinder the determination of adversity. The CE course ended with a talk on understanding adversity in preclinical studies and engaging the regulatory agencies in the decision-making process. This manuscript is designed to provide brief summaries of all the talks in this well-received CE course.


2020 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Muchamad Zainul Rohman

The scholarship selection process of Politeknik Negeri Samarinda are constraints on the decision-making process. This is because there is no objective method to determine quickly and precisely. To assist in the determination of the set someone worthy scholarship in this study will be design DSS (Decision Support System) with model of Multi-Criteria Decision Making. The method used is the method Profile Matching. Profile Matching methods have been able to select the best alternative from a number of alternatives, in this case meant that alternatives are eligible to receive scholarships based on the criteria specified. Research carried out by finding the weights for each sub-aspect, then carried ranking process that will determine the optimal alternative, the best students will be considered by decisionmakersto get a scholarship. Proses seleksi beasiswa di Politeknik Negeri Samarinda banyak terdapat kendala pada proses pengambilan keputusan. Hal ini dikarenakan belum ada metode objektif yang dapat memutuskan dengan cepat dan tepat. Untuk membantu penentuan dalam menetapkan seseorang yang layak menerima beasiswa maka dalam penelitian ini akan didesainkan DSS (Decision Support System) dengan model Multi Criteria Decision Making. Metode yang digunakan adalah metode Profile Matching. Metode Profile Matching dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap sub aspek, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu mahasiswa terbaik yang akan dipertimbangkan oleh pengambil keputusan untuk mendapatkan beasiswa.


2020 ◽  
Vol 73 ◽  
pp. 01006
Author(s):  
Radim Dušek

The aim of the paper is to introduce method which allows to calculate the estimation of the total consumer spending for 2019 in different regions of the Czech Republic. Presented method is based on combination of publicly available consumer spending data sets and geomarketing information. It can be applied to estimate consumer spending in total or for example only in one specific consumption expenditure group. Thus obtained findings, that can be visualized on a map with the use of GIS software, can be considered as a basis for more effective SMEs‘ marketing and management decision-making process concerning Czech Republic local consumer goods markets‘ size and characteristics as well as for forecasting future growth rate.


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