scholarly journals Analysis of the state of creation of robotic complexes for humanitarian demining

2021 ◽  
Vol 6 (2(62)) ◽  
pp. 47-52
Author(s):  
Igor Nevliudov ◽  
Dmytro Yanushkevych ◽  
Leonid Ivanov
Keyword(s):  
First Generation ◽  
Standard Sample ◽  
Mine Detection ◽  
The Core ◽  
Humanitarian Demining ◽  
Mechanical Methods ◽  
Specialized Equipment ◽  
Technical Operation ◽  
Functional Purpose

The object of research is robotic military complexes used in the system of humanitarian demining. This work aims to study the requirements for robotic military complexes (including manipulators that are sucked into them) and to develop proposals for their use in humanitarian demining. The research is based on the application of a functional approach to the construction of models for the formation of requirements for robotic military complexes (RMC), which are sucked into the system of humanitarian demining. It is established that the creation of RMC requires a significant study of the core of the most important technologies that are needed to create the entire range of promising RMC. Thus the standard sample RMC can be presented in the form of set of functionally connected elements: the basic carrier, the mobile platform, the specialized hinged/built-in equipment in the form of a set of removable modules of useful (target) purpose, means of maintenance and service used at preparation for application and technical operation robot. The composition of specialized equipment is set based on the functional purpose of the RMC. The classification of RMC is given, which provides for their division into three categories: the first generation – controlled devices, the second generation – semi-autonomous devices and the third generation – autonomous devices. The analysis of modern RMC which are developed in Ukraine and the advanced countries of the world and the analysis of structure of components of system of humanitarian demining is carried out. It is established that the organization of the humanitarian demining system with the use of RMC should include of explosive objects (EO) reconnaissance, search, marking, their identification and direct demining. Unmasking signs of EO, as well as modern methods and detectors of EO detection are considered. One of the new promising methods of mine detection is parametric. However, in real application, the most promising is the use of a combination of electromagnetic, optical and mechanical methods. The application of the proposed approaches will increase the efficiency of humanitarian demining and reduce human losses in its implementation.

scholarly journals Deep Learning Model Comparison for Vision-Based Classification of Full/Empty-Load Trucks in Earthmoving Operations

2019 ◽  
Vol 9 (22) ◽  
pp. 4871 ◽  
Author(s):  
Quan Liu ◽  
Chen Feng ◽  
Zida Song ◽  
Joseph Louis ◽  
Jian Zhou
Keyword(s):  
Deep Learning ◽  
Model Comparison ◽  
Surveillance Systems ◽  
Comparison Study ◽  
Learning Models ◽  
The Core ◽  
Dump Trucks ◽  
Deep Learning Model ◽  
Contact Field

Earthmoving is an integral civil engineering operation of significance, and tracking its productivity requires the statistics of loads moved by dump trucks. Since current truck loads’ statistics methods are laborious, costly, and limited in application, this paper presents the framework of a novel, automated, non-contact field earthmoving quantity statistics (FEQS) for projects with large earthmoving demands that use uniform and uncovered trucks. The proposed FEQS framework utilizes field surveillance systems and adopts vision-based deep learning for full/empty-load truck classification as the core work. Since convolutional neural network (CNN) and its transfer learning (TL) forms are popular vision-based deep learning models and numerous in type, a comparison study is conducted to test the framework’s core work feasibility and evaluate the performance of different deep learning models in implementation. The comparison study involved 12 CNN or CNN-TL models in full/empty-load truck classification, and the results revealed that while several provided satisfactory performance, the VGG16-FineTune provided the optimal performance. This proved the core work feasibility of the proposed FEQS framework. Further discussion provides model choice suggestions that CNN-TL models are more feasible than CNN prototypes, and models that adopt different TL methods have advantages in either working accuracy or speed for different tasks.

scholarly journals Integrated Robotic systems for Humanitarian Demining

10.5772/5694 ◽  
2007 ◽  
Vol 4 (2) ◽  
pp. 24 ◽  
Author(s):  
E. Colon ◽  
G. De Cubber ◽  
H. Ping ◽  
J-C Habumuremyi ◽  
H. Sahli ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Lessons Learned ◽  
Mine Detection ◽  
Detection Systems ◽  
Visual Positioning ◽  
Humanitarian Demining ◽  
Typical Data ◽  
Terrain Following ◽  
Software Interfaces ◽  
Future Work

This paper summarises the main results of 10 years of research and development in Humanitarian Demining. The Hudem project focuses on mine detection systems and aims at provided different solutions to support the mine detection operations. Robots using different kind of locomotion systems have been designed and tested on dummy minefields. In order to control these robots, software interfaces, control algorithms, visual positioning and terrain following systems have also been developed. Typical data acquisition results obtained during trial campaigns with robots and data acquisition systems are reported. Lessons learned during the project and future work conclude this paper.

scholarly journals Developing a Delphi-Based Comprehensive Core Set from the International Classification of Functioning, Disability, and Health Framework for the Rehabilitation of Patients with Burn Injuries

2021 ◽  
Vol 18 (8) ◽  
pp. 3970
Author(s):  
Yu-Ru Lin ◽  
Jr-Yi Wang ◽  
Shun-Cheng Chang ◽  
Kwang-Hwa Chang ◽  
Hung-Chou Chen ◽  
...  
Keyword(s):  
Burn Injury ◽  
Functional Limitations ◽  
Rehabilitation Program ◽  
International Classification ◽  
Burn Injuries ◽  
International Classification Of Functioning ◽  
Disability And Health ◽  
The Core ◽  
Core Set

Burn injuries cause disability and functional limitations in daily living. In a 2015 fire explosion in Taiwan, 499 young people sustained burn injuries. The construction of an effective and comprehensive rehabilitation program that enables patients to regain their previous function is imperative. The International Classification of Functioning, Disability, and Health (ICF) includes multiple dimensions that can contribute to meeting this goal. An ICF core set was developed in this study for Taiwanese patients with burns. A consensus process using three rounds of the Delphi technique was employed. A multidisciplinary team of 30 experts from various institutions was formed. The questionnaire used in this study comprised 162 ICF second-level categories relevant to burn injuries. A 5-point Likert scale was used, and participants assigned a weight to the effect of each category on daily activities after burns. The consensus among ratings was assessed using Spearman’s ρ and semi-interquartile range indices. The core set for post-acute SCI was developed from categories that attained a mean score of ≥4.0 in the third round of the Delphi exercise. The core ICF set contained 68 categories. Of these, 19 comprised the component of body functions, 5 comprised body structures, 37 comprised activities and participation, and 7 comprised environmental factors. This preliminary core set offers a comprehensive system for disability assessment and verification following burn injury. The core set provides information for effective rehabilitation strategy setting for patients with burns. Further feasibility and validation studies are required in the future.

scholarly journals Microsatellite-Based Genetic Structure and Hybrid Detection in Alpacas Bred in Poland

Animals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 2193
Author(s):  
Angelika Podbielska ◽  
Katarzyna Piórkowska ◽  
Tomasz Szmatoła
Keyword(s):  
Genetic Diversity ◽  
Microsatellite Markers ◽  
First Generation ◽  
Expected Heterozygosity ◽  
Hybrid Detection ◽  
Average Coefficient ◽  
Mixed Origin ◽  
Generation Hybrid

This study aimed to characterize the population structure and genetic diversity of alpacas maintained in Poland using 17 microsatellite markers recommended by the International Society for Animal Genetics. The classification of llamas, alpacas, and hybrids of both based on phenotype is often difficult due to long-term admixture. Our results showed that microsatellite markers can distinguish alpacas from llamas and provide information about the level of admixture of one species in another. Alpacas admixed with llamas constituted 8.8% of the tested individuals, with the first-generation hybrid displaying only 7.4% of llama admixture. The results showed that Poland hosts a high alpaca genetic diversity as a consequence of their mixed origin. More than 200 different alleles were identified and the average observed heterozygosity and expected heterozygosity values were 0.745 and 0.768, respectively, the average coefficient of inbreeding was 0.034, and the average polymorphism information content value was 0.741. The probability of exclusion for one parent was estimated at 0.99995 and for two parents at 0.99999.

In-itself for-itself: Towards second-generation neo-Marxist class theory

2017 ◽  
Vol 42 (2) ◽  
pp. 273-295 ◽  
Author(s):  
David Neilson
Keyword(s):  
First Generation ◽  
Second Generation ◽  
Critical Realism ◽  
Communist Manifesto ◽  
Class Theory ◽  
The Core ◽  
Preceding Discussion ◽  
Social Scientific ◽  
Surplus Population ◽  
Mode Of Production

First-generation neo-Marxist class theorists advanced some way beyond the orthodox Marxist account that is grounded in a particular reading of the Communist Manifesto. However, capitalism’s changing reality since then has revealed the limited extent of their break with orthodoxy. With the support of Bhaskar’s critical realism and Gramsci’s philosophy of praxis, this article addresses these limitations to facilitate movement towards second-generation neo-Marxist class theory. Rather than following first-generation neo-Marxist Poulantzas who dismissed the ‘class-in-itself’/‘class-for-itself’ distinction as a non-Marxist Hegelian residue, this article treats it as the central problematic of Marx’s class theory. Bourdieu’s subjectivist reformulations of the distinction that resonates with Marxist interpretations that run counter to the neo-Marxist social scientific aspiration are also critically engaged. The innovative conceptual framework arising from the article’s critical engagement with these diverging intellectual trajectories is applied to sketch ‘class effects’ in-themselves especially around the theme of the ‘relative surplus population’. Expected class effects implied by the core dynamic of the capitalist mode of production, and then contemporary empirical effects generated by neoliberal-led global capitalism, are outlined. This re-conceptualisation is then supplemented by critically examining Beck’s argument that individualisation leads to capitalism without classes-for-themselves. The article concludes by reconsidering class-for-itself in the light of the preceding discussion.

scholarly journals Technology networks: the autocatalytic origins of innovation

2018 ◽  
Vol 5 (6) ◽  
pp. 172445 ◽  
Author(s):  
Lorenzo Napolitano ◽  
Evangelos Evangelou ◽  
Emanuele Pugliese ◽  
Paolo Zeppini ◽  
Graham Room
Keyword(s):  
Positive Reinforcement ◽  
Hierarchical Classification ◽  
Source Node ◽  
Directed Network ◽  
The Core ◽  
Source Field ◽  
Patenting Activity ◽  
Positive Spillovers

We analyse the autocatalytic structure of technological networks and evaluate its significance for the dynamics of innovation patenting. To this aim, we define a directed network of technological fields based on the International Patents Classification, in which a source node is connected to a receiver node via a link if patenting activity in the source field anticipates patents in the receiver field in the same region more frequently than we would expect at random. We show that the evolution of the technology network is compatible with the presence of a growing autocatalytic structure, i.e. a portion of the network in which technological fields mutually benefit from being connected to one another. We further show that technological fields in the core of the autocatalytic set display greater fitness, i.e. they tend to appear in a greater number of patents, thus suggesting the presence of positive spillovers as well as positive reinforcement. Finally, we observe that core shifts take place whereby different groups of technology fields alternate within the autocatalytic structure; this points to the importance of recombinant innovation taking place between close as well as distant fields of the hierarchical classification of technological fields.

scholarly journals CONCEPT OF TECHNOLOGICAL WAY AS MODERN CONTINUATION OF THEORY OF LONG CYCLES IN ECONOMY

2017 ◽  
Vol 2017 (1) ◽  
pp. 232-242 ◽  
Author(s):  
Александр Таранов ◽  
Aleksandr Taranov ◽  
Наталья Таранова ◽  
Natalya Taranova
Keyword(s):  
Long Waves ◽  
Technological Innovations ◽  
The Core ◽  
Technological Structure ◽  
Empirical Level ◽  
Key Factor ◽  
World Economic ◽  
Successive Change ◽  
Methodological Approaches

The paper reports the concept of a technological way as an urgent and empirically substantiated continuation of the wellknown theory of long waves in economy. The theory of long waves allows predicting on an empirical level world economic crises and an economic growth on the horizon for 50 years. The genesis of the theory of long waves by means of retrospective author’s classification of theories of long waves in accordance with technological, economic, institutional, administrative and social signs is analyzed. A basic range of authors having formed a modern and urgent theory of long waves which is verified by time and supported by empirical computations is presented by N.D. Kondratiev, G. Mensch, J. Dossy, Ch. Peres, S.Yu. Glaziev. The concept of a technological way being empirically confirmed by the continuation of the theory of long waves was formed by Academician Glaziev. In this concept there are revealed basic statement-laws and also the necessity of methodological approaches in technological, economic, institutional, administrative and sociological fields. The logic of the formation and interaction of technological totality is described thoroughly. The conclusions of technological way existence are drawn. Technological innovations defining the formation of the core of a technological way and revolutionizing a technological structure of economy have obtained a name of a “key factor”. Nanotechnologies are such a factor at present and for the prospect of 50 years. The conclusions of a basic property of a technological way being a self-reproducing integrity are drawn in consequence of which the technical development of economy cannot take place otherwise as by means of a successive change of technological ways.

scholarly journals Characteristics of heat ceramics of Mordovian territory: on the example of the collection of Mordovian republican S. D. Erzia Fine Art Museum

2019 ◽  
Vol 11 (2) ◽  
pp. 222-231
Author(s):  
Andrey S. Barmenkov
Keyword(s):  
Comparative Analysis ◽  
Morphological Analysis ◽  
Fine Art ◽  
Art Museum ◽  
Maximum Extension ◽  
Different Types ◽  
The Subject ◽  
Functional Purpose

Introduction. The article is devoted to the description of pottery ceramics on Mordovian territory. The purpose of the article is to analyze the development of ceramics in Mordovian region. The object of the article is a collection of ceramics of Mordovian republican S.D. Erzia Fine Art Museum, the subject – the main features of the ceramics based on the morphological analysis of its exhibits. Materials and Methods. The material of the study was the results of the research of Russian scholars on ceramics of antiquity and modernity, as well as empirical materials presented by the ceramics funds of Mordovian republican S.D. Erzia Fine Art Museum. One of the main approaches implemented in the article is a comparative analysis of the exhibits based on the color of the shard. It allows the author to systematize utensils according to their functional purpose, and also to make an assumption about the various historical stages of the emergence of different types. Results and Discussion. The article systematizes the variety of forms of ceramics, reveals their quantitative relationships, the prevailing forms, and gives the comparative analysis of the existing forms. The classification of vessels was carried out in accordance with a number of criteria: the height and thickness of the neck, the design of the corolla cut, the diameter of the mouth and the maximum extension of the trunk, which allows one to draw conclusions about the similarity of the collection’s exhibits with other Mordоvian artefacts. Conclusion. It concludes about the existence of a certain standard in the production of ceramic dishes, and on the similarity of the studied ceramics and the collections of Russian monuments. Therefore, it states the preservation of local Mordovian pottery traditions in the course of wide interactions with Russian pottery ceramics.

scholarly journals Boolean differential equations: A common model for classes, lattices, and arbitrary sets of Boolean functions

2015 ◽  
Vol 28 (1) ◽  
pp. 51-76 ◽  
Author(s):  
Bernd Steinbach ◽  
Christian Posthoff
Keyword(s):  
Differential Equations ◽  
Boolean Functions ◽  
Differential Calculus ◽  
Short Introduction ◽  
The Core ◽  
Boolean Equation ◽  
General Difference ◽  
Derivatives Of

The Boolean Differential Calculus (BDC) significantly extends the Boolean Algebra because not only Boolean values 0 and 1, but also changes of Boolean values or Boolean functions can be described. A Boolean Differential Equation (BDe) is a Boolean equation that includes derivative operations of the Boolean Differential Calculus. This paper aims at the classification of BDEs, the characterization of the respective solutions, algorithms to calculate the solution of a BDe, and selected applications. We will show that not only classes and arbitrary sets of Boolean functions but also lattices of Boolean functions can be expressed by Boolean Differential equations. In order to reach this aim, we give a short introduction into the BDC, emphasize the general difference between the solutions of a Boolean equation and a BDE, explain the core algorithms to solve a BDe that is restricted to all vectorial derivatives of f (x) and optionally contains Boolean variables. We explain formulas for transforming other derivative operations to vectorial derivatives in order to solve more general BDEs. New fields of applications for BDEs are simple and generalized lattices of Boolean functions. We describe the construction, simplification and solution. The basic operations of XBOOLE are sufficient to solve BDEs. We demonstrate how a XBooLe-problem program (PRP) of the freely available XBooLe-Monitor quickly solves some BDes.

A Survey on Intelligence Tools for Data Analytics

2021 ◽  
pp. 73-95
Author(s):  
Shatakshi Singh ◽  
Kanika Gautam ◽  
Prachi Singhal ◽  
Sunil Kumar Jangir ◽  
Manish Kumar
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Language Processing ◽  
Real Life ◽  
Learning Tools ◽  
The Core ◽  
Training Mode ◽  
Real Life Situation ◽  
Selection Of

The recent development in artificial intelligence is quite astounding in this decade. Especially, machine learning is one of the core subareas of AI. Also, ML field is an incessantly growing along with evolution and becomes a rise in its demand and importance. It transmogrified the way data is extracted, analyzed, and interpreted. Computers are trained to get in a self-training mode so that when new data is fed they can learn, grow, change, and develop themselves without explicit programming. It helps to make useful predictions that can guide better decisions in a real-life situation without human interference. Selection of ML tool is always a challenging task, since choosing an appropriate tool can end up saving time as well as making it faster and easier to provide any solution. This chapter provides a classification of various machine learning tools on the following aspects: for non-programmers, for model deployment, for Computer vision, natural language processing, and audio for reinforcement learning and data mining.

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