Modern Hardware Research Articles

Raw Data Processing Using Modern Hardware for Inspection of Objects in X-Ray Baggage Inspection Systems

We present a novel approach for real-time implementation of raw image data processing using modern hardware for material classification and pseudocolor presentation of the images in X-ray baggage inspection systems. This implementation was done using a heterogeneous hardware comprising field-programmable gate array (FPGA) and an ARM processor available in a Xilinx FPGA board. With implementation of various algorithms in the processor system and with parallel computing done in programmable logic, an improvement in the processing speed has been achieved. For denoising of images, a Wiener filter was implemented with a high-level synthesis tool. The hardware implementation of various algorithms was verified by processing about 750 images in a Xilinx FPGA board and comparing these images with software-processed images. The processing time of a 512 ×640 pixel image was 400 ms using logic clocked at 100 MHz. Experimental results demonstrate that it is preferable to implement the Wiener filter in IP core processing rather than in the ARM as the execution is about 16 times faster in this case. The static and dynamic power consumption of the hardware was estimated to be about 2% and 92% of the total power consumption of about 1.7 W. The approach of hardware-based raw data processing could be further adopted for integration with data acquisition electronics for making the inspection systems more compact and portable with cost reduction.

In-Memory Interval Joins

The interval join is a popular operation in temporal, spatial, and uncertain databases. The majority of interval join algorithms assume that input data reside on disk and so, their focus is to minimize the I/O accesses. Recently, an in-memory approach based on plane sweep (PS) for modern hardware was proposed which greatly outperforms previous work. However, this approach relies on a complex data structure and its parallelization has not been adequately studied. In this article, we investigate in-memory interval joins in two directions. First, we explore the applicability of a largely ignored forward scan (FS)-based plane sweep algorithm, for single-threaded join evaluation. We propose four optimizations for FS that greatly reduce its cost, making it competitive or even faster than the state-of-the-art. Second, we study in depth the parallel computation of interval joins. We design a non-partitioning-based approach that determines independent tasks of the join algorithm to run in parallel. Then, we address the drawbacks of the previously proposed hash-based partitioning and suggest a domain-based partitioning approach that does not produce duplicate results. Within our approach, we propose a novel breakdown of the partition-joins into mini-joins to be scheduled in the available CPU threads and propose an adaptive domain partitioning, aiming at load balancing. We also investigate how the partitioning phase can benefit from modern parallel hardware. Our thorough experimental analysis demonstrates the advantage of our novel partitioning-based approach for parallel computation.

Using Various Data in the Internet Age to Study How Private Investment Can Promote High-Quality Economic Growth in Shaanxi

Since the reform and opening up, with the gradual advancement of China’s economic system reform, China’s investment and financing system has been adjusted and reformed. With the advancement of investment commercialization, the growing investment sector that is increasingly visible to major players in the private capital market is expanding. Private capital is playing an increasingly important role in China’s economic development. Due to various reasons such as history and geography, the growth rate of private capital investment in Shaanxi Province, which is located on the bridge in the northwest, is significantly behind the eastern coastal provinces. Therefore, it compared the factors affecting private investment in Shaanxi Province and coastal provinces, sought out the gap in the development of private investment in the two provinces, and formulated measures to stimulate private investment enthusiasm in Shaanxi Province. It is not only the urgent need of Shaanxi’s economic development, but also the urgent need of our country. East and West need to develop in a balanced way. On this basis, this article selects Shaanxi and Zhejiang provinces for comparative analysis. Western private investment developed earlier and contained more theories, so this article first combed the theories related to Western private investment, and then briefly reviewed the development of private investment theory since the founding of the People’s Republic of China. Secondly, benchmark and analyze the private investment in the two provinces from three aspects: one is to benchmark and analyze the status quo of private investment in the two provinces. Compare the factors that affect investment. Finally, by consolidating the foundation of private investment development, encouraging private investment to participate in the urbanization of Shaanxi, establishing a diversified modern financial system, creating software and hardware suitable for private investment development, and relaxing investment fields to implement a fair market access system. Made policy recommendations. Through the research of this article, it is estimated that the economic growth rate of Shaanxi will reach 13%.

SOME PROBLEMS OF USING THE FACIAL RECOGNITION SYSTEM IN LAW ENFORCEMENT ACTIVITIES

The article draws attention to the problems of the use of modern software and hardware tools and methods of facial fixing and recognizing by law enforcement agencies. In using various techniques aimed at obtaining information on a person’s physiological and biological characteristics, it is important to respect not only his or her right to protect the data, but also state interests in combating crime (terrorism, corruption). Important factors are state regulation and the development of norms for the effective use of information technologies, telecommunications and artificial intelligence technologies so that citizens do not doubt their effectiveness and legitimacy. Purpose: to analyze current problems of combating crime; to submit proposals for improving the application of the facial recognition system, and the establishment by the Ministry of Internal Affairs of a single biometric database of Russians with the strictest compliance with citizens' constitutional rights to privacy, reliable protection of their personal data. Methods: the authors use empirical methods of comparison, description, interpretation as well as theoretical methods of formal and dialectical logic. Results: the study reveals the problems of using the facial recognition system, the advantages and disadvantages of the system are analyzed. On the one hand, in the Russian Federation there are no clear instructions and an algorithm for the use of face-recognition cameras, which would satisfy society’s requirements to protect private life and personal and family privacy. On the other hand, face-recognition cameras can assist law enforcement authorities in locating wanted persons and detecting (solving) crimes.

Modern Algorithm for Diagnosis and Treatment of Diseases in Men That Lead to Infertility

The problem of sterile marriage provides great importance throughout the world. Infertility is a condition that is accompanied by a number of diseases of the genital organs and systemic diseases of the male or female organism. According to various literary sources, about 50–100 million people suffer from infertility in the world, that is, one out of 5–7 couples of reproductive age suffers from infertility.
 The problem of infertility in marriage is of particular importance in the context of the demographic crisis in Ukraine, where the frequency of infertile marriage among married couples of reproductive age is 10,0–15,0 %, and in some regions this indicator is close to 20,0 %. In Ukraine, there are more than 1 million infertile married couples, the male factor in the structure of infertility is about 40-50 % of cases. Most authors point to the polyetiology of male infertility. In its development, a significant role is assigned to such factors as neuropsychic, infectious toxic, congenital and genetic reasons, exogenous and habitual intoxications, ionizing radiation, dysfunctions of the endocrine glands and other internal organs, exposure to temperatures, vascular disorders, damage to the genital organs and their autoimmune lesions.
 Infertility is a complex and multifaceted problem, and there are a lot of different questions which need to solve. Particular difficulties arise in determining the treatment tactics in cases where there is a combination of various causes of infertility in a married couple. Opportune examination of partners with using modern hardware, laboratory and genetic methods is very important, and it allows to prescribe an effective treatment.
 The use of reproductive technologies significantly expands the possibilities for solving the problem of infertility. However, their main purpose is the birth of a child; treatment of diseases that have led to infertility requires additional efforts.
 In this regard, the development of modern methods of diagnosis and treatment of sterile marriage remains one of the actual problems.

MODELING A FLUID POWER DRIVE OF THE EXCAVATOR EQUIPMENT

Problem. The hydraulic drive of modern construction and road machines is quite complex, and it takes a lot of time and effort to model the entire drive in full. However, improving the quality of design with reducing terms and costs becomes possible only with the use of modern technologies, computer hardware and software. The existing models of hydraulic system working processes in the physical modeling environment SimHydraulics are presented by block diagram layouts from standard library elements (slide valve, hydraulic pump, hydraulic cylinder, safety and reverse valves, hydraulic locks, etc.). However, they do not consider the influence of time-varying external forces, which are a reaction during transient processes in multi-link mechanical systems. Goal. The aim of the work is to develop a simulation model of the fluid power drive of the excavator working equipment mechanical system in the MATLAB & SimHydraulics package for studying the dynamics of transient processes of multilink mechanical objects. Methodology. The article describes an example of developing a physical simulation model of the excavator working equipment fluid power drive in the SimHydraulics package. Using the real technical characteristics of the hydraulic equipment of the Borex 2201 excavator, the performance of the developed model was checked and the power characteristics of the actuators were determined. Originality. Using the blocks described in the article, a simulation model of the interaction of the excavator working equipment mechanical system with its fluid power drive can be created. Practical value. The model proposed makes it possible to obtain values characterizing transient processes, including changes in the value of the generalized coordinates of the characteristic points in the working equipment, the rate of their change, and the effort in the hydraulic cylinder. A visual representation of the manipulator movement can be obtained using the SimScape built-in visualization function. The resulting model allows solving problems of analysis and synthesis of excavator operation control systems.

Non-stationary modes of electric networks

Ensuring energy efficiency and solving problems of energy saving of power supply systems is impossible without forecasting the state of energy sources and elements of the electric network. Distribution networks consist of a set of elements whose parameters follow stochastic regularities and collectively organize a nonlinear dynamic system with parameters that depend on and do not depend on the mode. Description of networks requires the involvement of higher mathematics in conjunction with modern hardware and software of computer technology. The article is devoted to modeling of non-stationary modes of operation of multi-node electric networks with a large number of degrees of freedom and a high order of differential equations describing the processes under study in the model under consideration. The influence of such factors on transients as abrupt changes in the load of consumers, disconnection-connection of one of the voltage sources, short circuits on the consumer side, stability of the oscillatory process is considered. On the example of a 6-node circuit with 3 alternating voltage sources and 6 consumers, the nature of changes in the generated electrical power of the sources is analyzed. The system of differential equations corresponding to the scheme under study is solved by numerical methods. The proposed approach allows us to evaluate the efficiency of the power supply network while maintaining the mode parameters and predict the possibility of undesirable overloads during short circuits and conditions for exceeding variables that determine the practical stability of the system.

Intelligent machining: a review of trends, achievements and current progress

ABSTRACT Manufacturing industries are constantly pressured by market demands to produce low-cost, high-quality products. Market demands tend to be complex and full of variations, especially in fast-paced industrial settings. To cope with the rising market demands, traditional manufacturing techniques are forced to develop and adapt advanced practices and methods. However, as advances in manufacturing technology grow, so does the need to implement them in an efficient and cost-effective manner. The outcome of this urgent need is a combination of traditional manufacturing tools and modern technologies, hardware or software, that transforms traditional manufacturing into intelligent manufacturing. Intelligent manufacturing systems are complex systems in which optimization methodologies are combined with sensor-based control systems. Such intelligent and optimized systems are capable of producing high-quality products at fast production rates and lower cost. Among the broad range of manufacturing processes, this paper focuses on machining and aims to detail the recent advances in the field of intelligent machining. The paper is divided into two interrelated topics, namely techniques and tools. Techniques are mainly referred to optimization techniques in intelligent machining while tools focus on smart cutting tools. The paper will detail the technological trends and significant contributions in each of these areas in chronological order.

스마트 공장 운영 설계를 위한 3D 공장 시뮬레이션 기반 사전 공정 연구

Traditional manufacturing systems can be transformed into smart factory by introducing modern hardware and software solutions, which also require innovations in manufacturing process and working methods. Moreover, such transformation must be carefully managed since it generally accompanies significant amounts of costs and time. Nevertheless, many manufacturing companies focus solely on introduction of hardware and software solutions, which can lead to failure to achieve the objective of smart factory. In order to address this problem, performances of existing manufacturing process and alternative manufacturing process implemented by new solutions should be systematically evaluated and compared at the early stage of smart factory transformation. Simulation is a practical approach for analyzing manufacturing systems. Also, modern 3D factory simulation softwares provide additional visual information helpful for understanding and validating simulation models. In this context, this paper proposes 3D factory simulation-based process pre-study that can be used to make decisions on smart factory operational design.

Strategy and algorithms for the parallel solution of the nearest neighborhood problem in shared-memory processors

The neighborhood problem appears in many applications of computational geometry, computational mechanics, etc. In all these situations, the main requirement for a competitive implementation is performance, which can only be attained in modern hardware by exploiting parallelism. However, whereas the performance of serial algorithms is fairly predictable, that of parallel methods depends on delicate issues that have a huge impact (cache memory, cache misses, memory alignment, etc.), but are not easy to control. Even if there is not a simple approach to deal with these factors in shared-memory architectures, it is quite convenient to program parallel algorithms where the data are segregated on a per-thread basis. With this objective in mind, we propose a strategy to develop parallel algorithms based on a two-level design, and apply it to efficiently solve the nearest neighborhood problem. At a higher level, the proposed methods orchestrate the parallel algorithm and split the space into cells stored in a hash table; at the lower level, our methods hold serial search algorithms that are completely agnostic to the high-level counterpart. Using this strategy, we have developed a library combining different serial and parallel algorithms, optimized them, and assessed their performance. The analysis carried out allows to better understand the main bottlenecks in the algorithmic solution of the nearest neighborhood problem and come out with very fast implementations that improve existing available software.

A Cuda Fast Multipole Method with Highly Efficient M2L Far Field Evaluation

Solving an N-body problem is a computationally quite demanding task in many scientific fields ranging from astrophysics to biomolecular simulations. However, the direct solution scales with O(N2); hence, even on modern hardware, the direct calculation becomes impractical even for moderate numbers of particles, and thus, efficient yet accurate approximations are key. For biomolecular simulations, a widely used such method is Particle Mesh Ewald (PME), which scales with O(N log N). Although extremely fast on a single node, PME runs into communication bottlenecks when parallelized for large simulation systems on many nodes. The fast multipole method (FMM) offers an attractive alternative: It requires less communication and reduces the complexity to optimal O(N). The method approximates long-range interactions by grouping the particles into clusters represented as multipoles. The cluster size grows with the interaction distance according to the underlying octree structure. Hence, further separated particles require fewer interaction computations, hence less communication. Here, we present our full NVIDIA CUDA FMM implementation, which has been optimized for the electrostatic interactions described by Coulomb's law relevant to molecular dynamics simulations. We compare different parallelization approaches to the computationally limiting part of the algorithm, the Multipole-to-Local (M2L) operator, and discuss their performance bottlenecks. The first approach can be implemented with only minimal modifications to the sequential CPU implementation. It features the Unified Memory concept, which allows for a simple utilization of the existing CPU data structures. The second approach enhances the achieved performance by exploiting CUDA Dynamic Parallelism. It introduces a significant speedup, especially for a high accuracy requirement. The third parallelization approach abstracts the underlying octree with precomputed interaction lists and it exploits operator symmetries to achieve nearly optimal performance in the whole tested accuracy range.

An Experimental and Numerical Evaluation of Natural Frequencies and Mode Shapes using Vibration Isolator to Transport “Satellite Model–Plate Connecting Interface” System

This paper examines the natural frequencies and mode shape numerically and experimentally using vibration isolator for satellite model-plate connecting interface. The experiment was carried out using a modern software and hardware complex LMS. Vibration accelerations on the object were measured at 13 points in three mutually perpendicular directions using one-component and three-component PCB accelerometers with a sensitivity of 100 mV/g. Excitation was carried out with a PCB 086D50 m modal hammer. The SCADAS mobile data acquisition system was utilized to record the response from the sensors. While the numerical calculations were performed in the finite element package ANSYS Workbench. The result shows that the natural frequencies are less dependent on the system damping where the most considerable difference (about 10%) is observed in those forms, which plate makes flexural vibrations; the six natural modes of vibration of the satellite model (as a rigid body), the first three lowest forms correspond to vibrations in the plane. While the other oscillations were out of the plane, to reduce the oscillation frequency of the product from the plane (around the x and z axes), it is recommended to reduce the distance between the shock absorbers.

Power-aware throughput control for containerized relational operation

As the high performance computing (HPC) moves towards AI-driven applications, these AIHPC applications demand steady and high-throughput relational data acquisition from data sites, which gradually dominates the whole computing process. In order to provide an energy-efficient service in a multi-tenant environment, we have to reduce the power consumption from serving relational data, such that the energy cost can be best amortized. While modern hardware provide multiple power modes, these power performance tradeoffs cannot be directly applied to data services due to the lack of understanding from the operation behavior under different power modes. To address this challenge, we provide an system identification study on learning the power behavior under serving database operations under different hardware modes, and propose a Control framework for Relational Operations to save Power. In contrast to today’s heuristic-based power tuning techniques, our solution achieves the goal via two facilities: (1) a control-theory based controller design that minimizes overshoot and guarantees the minimum settling time, thus control accuracy and system stability; (2) a fuzzy classifier inside database engine that helps to understand software behavior, in order to tune the sensitivity of the whole system control. We prototyped Crop as wrapping these functions in a container hierarchy, and evaluate it with workloads generated from various database benchmarks. The results show that Crop achieves up to 51.3% additional energy savings despite runtime workload dynamics and model errors, as compared to other competing methods.

ПЕРСОНІФІКАЦІЯ ВИМОГ СПОЖИВАЧА ДО ТОВАРІВ НАРОДНОГО ВЖИТКУ ЯК НАПРЯМ УДОСКОНАЛЕННЯ ВИРОБНИЧОЇ ТА ТОРГОВО-РОЗПОДІЛЬЧОЇ ЛОГІСТИКИ

The evolution of the consumer goods requirements formation in production and trade and distribution logistics is investigated. In the course of this evolution of the goods parameters and the delivery conditions requirements formation, the dictates of production were replaced by those of sellers. Currently, goods are produced and delivered on the basis of requests from trade and distribution logistics networks. The next stage in the development of production and trade and distribution logistics of consumer goods should be the formation of orders directly by buyers. The features of the formation of user requirements for consumer goods as an element of production and trade and distribution logistics are considered. The concept of "specification of goods" of the buyer is introduced, which is an individual set of requirements for individual characteristics of the goods, taking into account the degree of importance of each of the characteristics. A functional dependence for the "specification of goods" is proposed. It is noted that the "specification of goods" is dynamic and can changed both in preparation for purchase and during the purchase. The features of e-commerce based on the widespread use of information technologies for the creation of "virtual" stores have been studied. This important element of the production and trade and distribution logistics of consumer goods reduces the cost of material trade infrastructure maintaining and makes goods available to geographically distant buyers. The expediency of using modern software and hardware tools for collecting and ordering data on "specifications of goods" from potential buyers is indicated. In cases of individual products properties variability is allowed, as well as a change in its configuration, it is convenient to form a “product specification” in a dialogue mode, sequentially setting the properties of the product and providing the user with the opportunity to visually assess the changes. The features of the production of certain types of consumer goods and changes in production and trade and distribution logistics in the case of production and delivery of goods, taking into account the consumerі,requirements are analyzed.

DEVELOPMENT OF MPACT FOR FULL-CORE SIMULATIONS OF MAGNOX GAS-COOLED NUCLEAR REACTORS

The MPACT code, jointly developed by Oak Ridge National Laboratory and University of Michigan, is designed to perform high-fidelity light water reactor (LWR) analysis using wholecore pin-resolved neutron transport calculations on modern parallel-computing hardware. MPACT uses the subgroup method for resonance self-shielding, while the primary neutron transport solver uses a 2D/1D method that is based on the method of characteristics (MoC) for the x-y planes coupled with a 1D diffusion or transport solver in the axial dimension. Additional geometry capabilities are currently being developed in MPACT to support hexagonal-pitched lattices, as well as interstitial geometry (i.e., control rods at the corner of four adjacent pin cells). In this research, the MPACT method is tested on gas-cooled reactors by applying MPACT to full-core MAGNOX reactor test problems. MAGNOX test problems were chosen due to the availability of high-quality reactor design and validation data (available through an ongoing collaboration with the National Nuclear Laboratory in the United Kingdom) and the existence of a relatively complex axial power shape that is expected to challenge the MPACT method. MPACT’s convergence for partial- and full-core problems will be tested and verified. MPACT will be compared with high-fidelity continuous-energy Monte Carlo simulations to verify core reactivity, power distributions, and performance of the available cross section data libraries and energy group structures.

Experimental laboratory complex for studying the physical properties of artificially formed gas-hydrate-containing sediments

Physical properties of gas hydrate-containing sediments (HCS) are extremely important information for the development of methods for their search and exploration. The presence of gas hydrates in marine bottom sediments significantly changes their physical properties, so they can be detected by marine remote geophysical observations. The physical properties of HCS are very important for detecting the presence of these compounds, estimating the amount of captured gas hydrates by sediments, as well as developing methods for using this resource. Currently, the study of physical properties concerned mainly artificial gas hydrates in the process of formation and decomposition under various thermodynamic conditions in their pure form. Therefore, very little is known about the physical properties of HCS, which makes their detection by remote geophysical surveys too difficult. Development and creation of experimental laboratory modular complex for formation of artificial methane gas hydrates in various lithological-granulometric matrices (sandstones, argillites, siltstones, etc.) and measurement of their physical properties in thermodynamic conditions of bottom sediments of the Black Sea, will increase efficiency technology of methane hydrate deposits development. Under experimental conditions, along with the thermal conductivity and velocities of longitudinal and transverse waves of artificial HCS, the parameters of elastic deformation, strength, and decay characteristics will be measured, which will allow performing theoretical analysis to build models based on different hypotheses of their genesis. At the S.I. Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine created a model of the installation for the formation and study of the physical properties of HCS. The development is based on the modern technological level of research in the field of thermobaric petro- physical experimental modeling of geological environments, as well as on the use of modern software and hardware laboratory research to obtain physical properties of bottom sediments of various lithological and particle size distribution.

Functional and radiological outcome of depressed intra-articular fractures of calcaneus managed with operative methods

Calcaneal fractures are the most common fracture of the tarsal bones, controversy still exists on the best treatment option for these fractures. However as a better understanding of fracture patterns with computed tomography scans and modern surgical techniques and hardware has improved outcome and lowered morbidity. Hence we aim at evaluating the radiological and functional outcomes of displaced intra-articular calcaneal fractures treated with operative methods with calcaneal plate or by percutaneous/mini-open Ilizarov fixation. In our study we included 30 patients, 23 were male and rest 7 were female. The mechanism of injury involved fall from height in 20 cases and road traffic accident in the remaining cases. These patients were followed average 14.6 months and the functional outcome was assessed in all the patients using Creighton-Nebraska health foundation assessment scale (CNHFAS). According to this scale, 8(26.66%) patients had excellent results, 14 (46.66%) patients had good results, 4(13.33%) patients had fair results and 4(13.33%) patients had poor results. The results were promising, revealing that the operative treatment of intra-articular calcaneal fractures should be done as anatomical reduction and rigid internal fixation to allow early movement and weight bearing. The technique of contoured plate fixation with a lateral approach and ilizarov external fixator are good with regards to fracture union and functional outcome.

Возможности интерактивных технологий в формировании профессиональных компетенций бакалавров по направлению подготовки 44.03.05 «Математика», «Информатика»

The introduction of interactive educational technologies into university practice is an urgent task, the solution of which must be considered as a necessary and sufficient condition for improving the quality of training in the pedagogical education system of the Russian Federation. Interest in this problem is due to the often unjustified use of modern software and hardware in the educational process, which results in partial or complete loss of students’ skills in verbal communication, socio-communicative control, and adequate self-esteem. We aim to form a new approach to the development of professional competencies of future teachers, which is based on the principles of consistency, providing high-quality pedagogical education. The methods of analysis of the problems of formation, development and improvement of professional competences of students of pedagogical universities are used; systematization of factual and empirical data on the problem of introducing innovations into pedagogical practice. Generalization of the experience of using interactive educational technologies in the system of training specialists with higher professional education confirms the feasibility and necessity of introducing innovations into university pedagogical practice. Developed recommendations for the formation of tools for improving the professional competencies of future teachers, can be recommended for use in order to expand the framework of managing the educational process at the university.

Видеоанализ биомеханики позвоночника как объективный метод функциональной диагностики

The present scientific review of medical and technical literature presents the attempt to assess modern technological stage of spine biomechanical hardware diagnostics in terms of its objectivity, as well as diagnostic and prognostic value on the example of etiopathogenesis analysis of spine degenerative-dystrophic diseases. A set of structural and extra vertebral factors contributing to the onset and progression of spine degenerative-dystrophic diseases was identifi ed to determine diagnostic and prognostic value studying particular literature sources, which use empirical and mathematical research methods. Central indicator value of intersegmental compression-distractive kinetics and loads shift s related to these factors was also determined. When considering the objectivity of spine biomechanics video analysis, the reliability of kinetics and spinal motion segments kinematics was separately assessed. Furthermore, impropriety of the latter was established in terms of reliability and repeatability of diagnostic results. Only vertical force indicator is valid in kinetics, reflecting intersegmental compression load, due to the sufficient objectivity and weak dependence of its values on the type of computer mathematical models used by commercial systems of video motion analysis. Walking is optimal motional act for calculating vertical force by modern optoelectronic soft ware and hardware systems.

ОСОБЛИВОСТІ ВИКОРИСТАННЯ СПЕЦІАЛЬНОГО ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ НА ПЛАТФОРМІ ARCGIS ДЛЯ МОНІТОРИНГУ ЗОН КОНФЛІКТУ

The paper considers the peculiarities of using the ArcGIS platform for all levels of UN missions as a geospatial platform for monitoring conflict zones and planning a potential course of action. The UN mission is responsible for prevention violence (mostly against civilians), and not just for responding where it continues. International peacekeeping organizations to determine the degree of tension in the area of responsibility are using a variety of methods to obtain information from various sources as organs, forces or means for further analysis and decision-making. Monitoring of the zone of military conflict is an instrumental measure and it includes a cycle of information consisting of such links as data collection, processing, information analysis, decision making etc. Today, the information cycle is important for understanding the state of the conflict and deciding on the necessary actions by the mission leadership. It certainly concerns technological progress and information technology in particular. Accordingly, of There is tactical, operational and strategic importance may be as levels of the impact of monitoring quality. The study of existing systems for monitoring war zones in the UN missions needs more detailed attention. And the definition of improving ways such systems on the basis of modern software and hardware solutions at all government levels, taking into account practical experience, formulates the problem and emphasizes its relevance.