Suchergebnisse

Processing of personal data, which is obligatory for any institution or organization, requires implementation of personal data processing information systems and definitely their security. The majority of existing information security methods and techniques is focused on the security of corporate information systems resources. Such techniques do not always take into account the special requirements for data processing. This fully applies to the processing of personal data protection, the security of which is provided by the current legislation. Approaches to the protection of personal data processed in automated information systems were discussed. The classification of threats to personal data that may occur when processing them in automated systems was brought. We considered the aims and methods of minimizing such threats including comprehensive measures to protect personal data. The ways and means of personal protection methods of personal data were considered. The priorities of forming the overall personal data protection system were defined. ; Обработка персональных данных, процесс, который есть обязательным для любого учреждения или орга­низации, требует внедрения информационных систем обработки персональных данных и, безусловно, их за­щиты. Существующие методы и методики защиты ин­формации, в подавляющем большинстве, ориентиро­ванны на защиту ресурсов корпоративных информа­ционных систе. Такие методики не всегда учитывают особые требования к данным, которые обрабатыва­ются. Это в полной мере касается обработки и персо­нальных данных, защита которых предусмотрена дей­ствующим законодательством. Рассмотрены подходы к защите персональных данных, обрабатываемых в авто­матизированных информационных системах. Приве­дена классификация угроз персональным данным, ко­торые могут возникать при их обработке в автоматизи­рованных системах. Рассмотрены цели и методы мини­мизации угроз на основе комплексных мер защиты персональных данных. Предложены пути и средства реализации методов защиты персональных данных. ...

Informatization of the Armed Forces of Ukraine involves the creation of information infrastructure and implementation of elements of the Unified Automated Management System of the Armed Forces of Ukraine. Data Processing Centers (DPCs) should become the software and hardware basis and the main component of the information infrastructure of the Ministry of Defense of Ukraine. In this regard, the performance indicators of the data center, such as its capacity and response time are important. Among the many factors affected by these indicators, the availability of information is more important.Accessibility of information means the state in which users who have access rights to information can implement them without hindrance. Access rights include: the right to read, modify, store, copy, destroy information.The current practice of assessing the performance of a Distributed Data Center Information System (DDCI) has only indicative character. The most rational approach to obtaining calculations of DDCI is the use of prognostic models. Knowing the DDCI performance forecast, you can predict the behavior of the system in different operating conditions and ensuring the availability of information in Data Center.The aim of the article is to develop an approach to ensure the availability of information to the data center based on the assessment of the balance of system performance.Modeling a Distributed Information System by the key performance indicators confirms the truth of the proposed approach and allows you to clearly assess the relationship between key performance indicators, the balance of which is the basis for ensuring the availability of information. ; Информатизация Вооруженных Сил Украины предусматривает создание информационной инфраструктуры и внедрение элементов Единой автоматизированной системы управления Вооруженных Сил Украины. Программно-аппаратной основой и главной составляющей информационной инфраструктуры Министерства обороны Украины должны стать центры обработки данных (ЦОД). В связи с этим, значение приобретают такие показатели производительности функционирования ЦОД, как его пропускная способность и время отклика. Среди многих факторов, на которые влияют указанные показатели, важное значение занимает обеспечение доступности информации.Под доступностью информации понимается состояние, при котором пользователи, имеющие права доступа к информации, могут реализовывать их беспрепятственно. К правам доступа относятся: право на чтение, изменение, хранение, копирование, уничтожение информации.Существующая практика оценки производительности распределённой информационной системы (РИС) ЦОД носит лишь ориентировочный характер. Наиболее рациональным подходом расчету производительности РИС ЦОД является применение прогностических моделей. Зная прогноз производительности РИС, можно предсказать поведение системы в различных условиях функционирования и обеспечения доступности информации ЦОД.Целью статьи является разработка подхода по обеспечению доступности информации центра обработки данных на основе оценки баланса производительности системы.Моделирование распределенной информационной системы по основным показателям производительности подтверждает истинность предложенного подхода и позволяет наглядно оценить связь между основными показателями производительности, баланс которых и является основой обеспечения доступности информации. ; Інформатизація Збройних Сил України передбачає створення інформаційної інфраструктури та впровадження елементів Єдиної автоматизованої системи управління Збройних Сил України. Програмно-апаратною основою та головною складовою інформаційної інфраструктури Міністерства оборони України мають стати центри обробки даних (ЦОД). У зв'язку з цим, важливе значення набувають такі показники продуктивності функціонування ЦОД, як його пропускна спроможність та час відгуку. Серед багатьох факторів, на які впливають зазначені показники, важливе значення займає забезпечення доступності інформації.Під доступністю інформації розуміється стан, при якому користувачі, що мають права доступу до інформації, можуть реалізовувати їх безперешкодно. До прав доступу відносяться: право на читання, зміну, зберігання, копіювання, знищення інформації.Існуюча практика оцінювання продуктивності розподіленої інформаційної системи (РІС) ЦОД носить лише орієнтовний характер. Найбільш раціональним підходом щодо одержання розрахунків продуктивності РІС ЦОД є застосування прогностичних моделей. Знаючи прогноз продуктивності РІС можна передбачити поведінку системи у різних умовах функціонування та забезпечення доступності інформації ЦОД.Метою статті є розробка підходу щодо забезпечення доступності інформації центру обробки даних на основі оцінки балансу продуктивності системи.Моделювання розподіленої інформаційної системи за основними показниками продуктивності підтверджує істинність запропонованого підходу і дозволяє наглядно оцінити зв'язок між основними показниками продуктивності, баланс яких і є основою забезпечення доступності інформації.

Informatization of the Armed Forces of Ukraine involves the creation of information infrastructure and implementation of elements of the Unified Automated Management System of the Armed Forces of Ukraine. Data Processing Centers (DPCs) should become the software and hardware basis and the main component of the information infrastructure of the Ministry of Defense of Ukraine. In this regard, the performance indicators of the data center, such as its capacity and response time are important. Among the many factors affected by these indicators, the availability of information is more important.Accessibility of information means the state in which users who have access rights to information can implement them without hindrance. Access rights include: the right to read, modify, store, copy, destroy information.The current practice of assessing the performance of a Distributed Data Center Information System (DDCI) has only indicative character. The most rational approach to obtaining calculations of DDCI is the use of prognostic models. Knowing the DDCI performance forecast, you can predict the behavior of the system in different operating conditions and ensuring the availability of information in Data Center.The aim of the article is to develop an approach to ensure the availability of information to the data center based on the assessment of the balance of system performance.Modeling a Distributed Information System by the key performance indicators confirms the truth of the proposed approach and allows you to clearly assess the relationship between key performance indicators, the balance of which is the basis for ensuring the availability of information. ; Информатизация Вооруженных Сил Украины предусматривает создание информационной инфраструктуры и внедрение элементов Единой автоматизированной системы управления Вооруженных Сил Украины. Программно-аппаратной основой и главной составляющей информационной инфраструктуры Министерства обороны Украины должны стать центры обработки данных (ЦОД). В связи с этим, значение приобретают такие показатели производительности функционирования ЦОД, как его пропускная способность и время отклика. Среди многих факторов, на которые влияют указанные показатели, важное значение занимает обеспечение доступности информации.Под доступностью информации понимается состояние, при котором пользователи, имеющие права доступа к информации, могут реализовывать их беспрепятственно. К правам доступа относятся: право на чтение, изменение, хранение, копирование, уничтожение информации.Существующая практика оценки производительности распределённой информационной системы (РИС) ЦОД носит лишь ориентировочный характер. Наиболее рациональным подходом расчету производительности РИС ЦОД является применение прогностических моделей. Зная прогноз производительности РИС, можно предсказать поведение системы в различных условиях функционирования и обеспечения доступности информации ЦОД.Целью статьи является разработка подхода по обеспечению доступности информации центра обработки данных на основе оценки баланса производительности системы.Моделирование распределенной информационной системы по основным показателям производительности подтверждает истинность предложенного подхода и позволяет наглядно оценить связь между основными показателями производительности, баланс которых и является основой обеспечения доступности информации. ; Інформатизація Збройних Сил України передбачає створення інформаційної інфраструктури та впровадження елементів Єдиної автоматизованої системи управління Збройних Сил України. Програмно-апаратною основою та головною складовою інформаційної інфраструктури Міністерства оборони України мають стати центри обробки даних (ЦОД). У зв'язку з цим, важливе значення набувають такі показники продуктивності функціонування ЦОД, як його пропускна спроможність та час відгуку. Серед багатьох факторів, на які впливають зазначені показники, важливе значення займає забезпечення доступності інформації.Під доступністю інформації розуміється стан, при якому користувачі, що мають права доступу до інформації, можуть реалізовувати їх безперешкодно. До прав доступу відносяться: право на читання, зміну, зберігання, копіювання, знищення інформації.Існуюча практика оцінювання продуктивності розподіленої інформаційної системи (РІС) ЦОД носить лише орієнтовний характер. Найбільш раціональним підходом щодо одержання розрахунків продуктивності РІС ЦОД є застосування прогностичних моделей. Знаючи прогноз продуктивності РІС можна передбачити поведінку системи у різних умовах функціонування та забезпечення доступності інформації ЦОД.Метою статті є розробка підходу щодо забезпечення доступності інформації центру обробки даних на основі оцінки балансу продуктивності системи.Моделювання розподіленої інформаційної системи за основними показниками продуктивності підтверджує істинність запропонованого підходу і дозволяє наглядно оцінити зв'язок між основними показниками продуктивності, баланс яких і є основою забезпечення доступності інформації.

The classification of educational process automation tools in the military education system was carried out in the paper. Based on the analysis, it was determined that one of the important factors in the effective functioning of the distance learning system is the availability of experts who monitor the quality of distance learning courses and offer methods for improving them. The method for conducting the collective examination of the effectiveness and quality of distance learning courses and processing the received expert data in an expert group was proposed in order to develop the mechanism for experts to assess the effectiveness and quality of distance learning courses. The calculation algorithm of the proposed method involves determining the professional level of experts; processing the values of indicators determined by experts; determination of the generalized value of a particular indicator; determination of the value of a generalized indicator. ; В работе было проведено классификацию средств автоматизации образовательного процесса в системе военного образования. На основе проведенного анализа было определено, что одним из важных факторов эффективного функционирования системы дистанционного обучения является наличие экспертов, которые контролируют качество дистанционных курсов и предлагают методы их совершенствования. С целью разработки механизма работы экспертов по оцениванию эффективности и качества курсов дистанционного обучения была предложена методика осуществления коллективной экспертизы эффективности и качества курсов дистанционного обучения и обработки полученных экспертных данных в группе экспертов. Алгоритм расчетов с использованием предложенной методики предполагает определение профессионального уровня экспертов; обработки значений показателей, определенных экспертами; определение обобщенного значения определенного показателя; определение значения обобщенного показателя. ; В роботі було проведено класифікацію засобів автоматизації освітнього процесу у системі військової освіти. На основі проведеного аналізу було визначено, що одним із важливих факторів ефективного функціонування системи дистанційного навчання є наявність експертів, які контролюють якість дистанційних курсів та пропонують методи їх удосконалення. З метою розроблення механізму роботи експертів щодо оцінювання ефективності та якості курсів дистанційного навчання була запропонована методика здійснення колективної експертизи ефективності та якості курсів дистанційного навчання та опрацювання отриманих експертних даних у групі експертів. Алгоритм розрахунків з використанням запропонованої методики передбачає визначення фахового рівня експертів; оброблення значень показників, визначених експертами; визначення узагальненого значення певного показника; визначення значення узагальненого показника.

The classification of educational process automation tools in the military education system was carried out in the paper. Based on the analysis, it was determined that one of the important factors in the effective functioning of the distance learning system is the availability of experts who monitor the quality of distance learning courses and offer methods for improving them. The method for conducting the collective examination of the effectiveness and quality of distance learning courses and processing the received expert data in an expert group was proposed in order to develop the mechanism for experts to assess the effectiveness and quality of distance learning courses. The calculation algorithm of the proposed method involves determining the professional level of experts; processing the values of indicators determined by experts; determination of the generalized value of a particular indicator; determination of the value of a generalized indicator. ; В работе было проведено классификацию средств автоматизации образовательного процесса в системе военного образования. На основе проведенного анализа было определено, что одним из важных факторов эффективного функционирования системы дистанционного обучения является наличие экспертов, которые контролируют качество дистанционных курсов и предлагают методы их совершенствования. С целью разработки механизма работы экспертов по оцениванию эффективности и качества курсов дистанционного обучения была предложена методика осуществления коллективной экспертизы эффективности и качества курсов дистанционного обучения и обработки полученных экспертных данных в группе экспертов. Алгоритм расчетов с использованием предложенной методики предполагает определение профессионального уровня экспертов; обработки значений показателей, определенных экспертами; определение обобщенного значения определенного показателя; определение значения обобщенного показателя. ; В роботі було проведено класифікацію засобів автоматизації освітнього процесу у системі військової освіти. На основі проведеного аналізу було визначено, що одним із важливих факторів ефективного функціонування системи дистанційного навчання є наявність експертів, які контролюють якість дистанційних курсів та пропонують методи їх удосконалення. З метою розроблення механізму роботи експертів щодо оцінювання ефективності та якості курсів дистанційного навчання була запропонована методика здійснення колективної експертизи ефективності та якості курсів дистанційного навчання та опрацювання отриманих експертних даних у групі експертів. Алгоритм розрахунків з використанням запропонованої методики передбачає визначення фахового рівня експертів; оброблення значень показників, визначених експертами; визначення узагальненого значення певного показника; визначення значення узагальненого показника.

The knowledge decisions acceptance support system (KDASS) in the risks and ambiguities conditions were offered. The first stage sequence of KDASS forming – the basic data processing stage was written. The first stage sequence of KDASS it was rotined on an example KDASS of achievement degree evaluation of certain possibilities of Ukraine Military Forses depending on the financing level. ; В статье предложена последовательность формирования знаниеориентированных систем поддержки принятия решений в условиях рисков и неопределенностей (ЗСПР). Расписана последовательность проведения первого этапа формирования ЗСПР – этап обработки исходных данных на примере ЗСПР оценивания степени достижения определенных возможностей Вооруженных Сил Украины в зависимости от уровня их финансирования. ; У статті запропоновано послідовність формування знанняорієнтованих систем підтримки прийняття рішень в умовах ризиків і невизначеностей (ЗСПР). Розписана послідовність проведення першого етапу формування ЗСПР - етап обробки вихідних даних наприкладі ЗСПР оцінювання ступеня досягнення визначених можливостей Збройних Сил України залежно від рівня їх фінансування.

More than ten years ago in the world has emerged the concept "smart city" and till today smart cities have developed in many countries of the world.A smart city is a place where traditional networks and services are made more efficient with the use of digital and telecommunication technologies for the benefit of its inhabitants and business [1].Any smart city, in turn, consists of a huge amount of cyber physical systems (CPSs).Cyber physical systems are smart systems that include engineered interacting networks of physical and computational components [2].The essential requirements to functioning of these systems are safety, security, reliability, resilience, confidentiality. Automated decision-making, including profiling in the personal data processing constitutes a significant part of cyber physical systems as components of smart cities.As the personal data is processed automatically, computations are performed in the "cloud" in the network of distant servers, there is a risk of various cyber threats and real cyber attacks on certain cyber physical system (as part of a smart city) which may cause a damage or losses to the personal data subject as a result of unlawful destruction, use, alteration or disclosure of the personal data.The Ukrainian legislation does not contain the concept "smart city". The unsolved problem in the Ukrainian legislation is the recognition of the personal data subject as a central element of any cyber physical system (as part of a smart city) and the necessity of ensuring balance between the fundamental rights and freedoms of the personal data subject and the rights of the data possessors, data processors, data protection officials, the authority of the Commissioner of the Verkhovna Rada of Ukraine on human rights who gain access to the personal data by means of personal data subject consent.The comparative analysis of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Regulation) [5] with the Ukrainian Law [4] which refers to various elements of the processing of personal data in different processing systems, to the rights and obligations of the data controller, the data processor, the supervisory authority with regard to ensuring lawful, secure, confidential processing of personal data is made.

More than ten years ago in the world has emerged the concept "smart city" and till today smart cities have developed in many countries of the world.A smart city is a place where traditional networks and services are made more efficient with the use of digital and telecommunication technologies for the benefit of its inhabitants and business [1].Any smart city, in turn, consists of a huge amount of cyber physical systems (CPSs).Cyber physical systems are smart systems that include engineered interacting networks of physical and computational components [2].The essential requirements to functioning of these systems are safety, security, reliability, resilience, confidentiality. Automated decision-making, including profiling in the personal data processing constitutes a significant part of cyber physical systems as components of smart cities.As the personal data is processed automatically, computations are performed in the "cloud" in the network of distant servers, there is a risk of various cyber threats and real cyber attacks on certain cyber physical system (as part of a smart city) which may cause a damage or losses to the personal data subject as a result of unlawful destruction, use, alteration or disclosure of the personal data.The Ukrainian legislation does not contain the concept "smart city". The unsolved problem in the Ukrainian legislation is the recognition of the personal data subject as a central element of any cyber physical system (as part of a smart city) and the necessity of ensuring balance between the fundamental rights and freedoms of the personal data subject and the rights of the data possessors, data processors, data protection officials, the authority of the Commissioner of the Verkhovna Rada of Ukraine on human rights who gain access to the personal data by means of personal data subject consent.The comparative analysis of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Regulation) [5] with the Ukrainian Law [4] which refers to various elements of the processing of personal data in different processing systems, to the rights and obligations of the data controller, the data processor, the supervisory authority with regard to ensuring lawful, secure, confidential processing of personal data is made.

More than ten years ago in the world has emerged the concept "smart city" and till today smart cities have developed in many countries of the world.A smart city is a place where traditional networks and services are made more efficient with the use of digital and telecommunication technologies for the benefit of its inhabitants and business [1].Any smart city, in turn, consists of a huge amount of cyber physical systems (CPSs).Cyber physical systems are smart systems that include engineered interacting networks of physical and computational components [2].The essential requirements to functioning of these systems are safety, security, reliability, resilience, confidentiality. Automated decision-making, including profiling in the personal data processing constitutes a significant part of cyber physical systems as components of smart cities.As the personal data is processed automatically, computations are performed in the "cloud" in the network of distant servers, there is a risk of various cyber threats and real cyber attacks on certain cyber physical system (as part of a smart city) which may cause a damage or losses to the personal data subject as a result of unlawful destruction, use, alteration or disclosure of the personal data.The Ukrainian legislation does not contain the concept "smart city". The unsolved problem in the Ukrainian legislation is the recognition of the personal data subject as a central element of any cyber physical system (as part of a smart city) and the necessity of ensuring balance between the fundamental rights and freedoms of the personal data subject and the rights of the data possessors, data processors, data protection officials, the authority of the Commissioner of the Verkhovna Rada of Ukraine on human rights who gain access to the personal data by means of personal data subject consent.The comparative analysis of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Regulation) [5] with the Ukrainian Law [4] which refers to various elements of the processing of personal data in different processing systems, to the rights and obligations of the data controller, the data processor, the supervisory authority with regard to ensuring lawful, secure, confidential processing of personal data is made.

General information on the protection of personal data within the EU, the General Data Protection Regulation (GDPR 2016/679) on the protection of personal data of all persons within the European Union and the European Economic Area covering a wide range of issues related to personal data protection.The article outlines the area of application of the GDPR 2016/679 on personal data protection and defines the cases of when it is not applied.Taking into account the fact that children belong to a separate category of personal data owners, the article stresses the importance of protection of their personal data by this EU regulation. It is emphasized that children might be less aware of the risks, guarantees and consequences of violation of personal data protections, as well as of their rights in terms of personal data protection. The article also focuses on the principles of the personal data protection as defined in the EU regulation, such as the transparency principle or the "right to be forgotten", as well as explains the order of collecting and processing personal data. Procedure of getting permission for the personal data processing is of utmost importance in this regard, and due attention should be paid to the form of consent for the personal data processing. Key words: personal data, protection of personal data, personal data registration, identification of a person. ; Досліджено засади формування політики Європейського Союзу у сфері захисту персональних даних, визначено поняття таких даних, правові засади захисту персональних даних в рамках ЄС, основні положення Загального регламенту ( англ. General Data Protection Regulation, GDPR 2016/679) щодо захисту персональних даних усіх осіб в межах Європейського Союзу та Європейської економічної зони, який охоплює широкий спектр питань, пов'язаних з захистом персональних даних.У статті досліджено сферу застосування Регламенту щодо захисту персональних даних, визначено винятки із сфери його застосування.Враховуючи приналежність дітей до особливої категорії володільців персональних даних також зазначено, що саме захисту персональних даних дітей Регламент приділяє особливу увагу. Діти можуть бути менш обізнаними про відповідні ризики, наслідки та гарантії, а також про свої права щодо опрацювання персональних даних.Окремо розглядаються принципи захисту персональних даних, що деталізуються у Регламенті, такі як принцип прозорості, «право бути забутим».У статті аналізується допустимий порядок збирання персональних даних, їх обробки. В цьому контексті важливе значення відводиться процедурі надання згоди особи на обробку її персональних даних. Істотну роль відіграють форми вираження надання згоди на обробку персональних даних особи.Ключові слова: персональні дані, захист персональних даних, обробка персональних даних, ідентифікація особи.

Data obtaining tasks for correct and relevant management decision making pusposes are important. Particularly, in military and rescue areas such data is videodata from an unmanned aircraft vehicle (UAV) camera obtained during its flight over a territory-of-interest. In this case large size of obtained data means a significant problem because of complicating of its manual processing by operator (expert). In addition, data availability must be provided. In practice, the mentioned task is usually solved by recording target videodata onboard during the UAV flight followed by recorded videodata processing after the UAV landing e.g. on the groung control station, i.e. in offline mode. It is obviously to see that using this technique doesn't solve the problem of complicated target data processing due to manual approach. As for automation of target data processing, as practice shows, every object detection method can potentially decrease processing time, but cannot increase processing quality in comparison with manual processing by operator (expert). Thus, task of ensuring an appropriate balance between availability of target data (videodata from UAV), automation and quality of its processing is relevant. This article i) proposes the technique for automated target object search in videodata from reconnaissance UAVs in post-processing mode by using an adaptive suspicious object search method as an automatic part, ii) describes the corresponding program implementation on C++ for detection method, C# for the user interface part and [standard] platform invoke technique for using the first code (C++) inside the last (C#), iii) shows quantitative characteristics calculated on the set of test videodata. The proposed technique is considered as an appropriate way to solve the specified task. ; Актуальными вопросами в сфере управления являются вопросы получения необходимых для принтия своевременного и корректного управленческого решения данных. В частности, для военных задач и спасательных операций в качестве таких данных могут ...

Without a doubt agriculture sector is vital part of modern Ukrainian economy. Agriculture is ranked 3rd largest contributor to the national GDP with approx. 17% in 2018 (compared to 14.4% in 2016) of total GDP, followed with industrial sector (26.3%) and services sector (59.3%). It should be noted that it is very promising field in terms of potential economic growth and both regional and international investment opportunities. Food products being a necessity in everyday life of every person. Food and processing industries are the large industries that are interconnected to agricultural cultivation. These industries have great potential to increase the value of agricultural products due to the added value, as not raw materials are sold but finished products that can be consumed in the domestic market and exported. Meanwhile the global process of urbanization and changes in national politics, have had their impact on Ukrainian economy. The number of urban populations is continuing to increase, while great number of work force is migrating to neighboring countries. Several studies state that number of Ukrainian workers living aboard is around 2.5 million people. In this context we plan to investigate and build general forecast model on how urbanization is impacting agricultural land use and certain factors of its impact on economic development of region. On the other hand, we have examples of modern issues, such as climate change caused by rapid urbanization and the irrational use of natural resources. The study showed that urban development requires substantial land rescue for its expansion. By examining closely spatial data of urban and suburban areas, for example that of Kyiv city, agricultural land in suburban areas is used for new construction sites and infrastructural development. Another indirect effect of urban development is ecological changes to the surrounding areas. The affected areas become much less suitable for agricultural uses, require large financial investment and high technologies to renew the soil fertility.Research work that have been conducted in this area focused mostly on financial resources, international politics, and large agricultural holdings of agricultural land use. A lot of work has been done to highlight importance of advocating open land market in Ukraine. While other researchers in their research analyzed specific crop or certain agricultural industry markets. In general, the focus of previous publications was either on the current agricultural export or land use data in Ukraine. The goal of this research paper is to find, establish connections between urbanization and agricultural land use, while focusing attention on possibilities for economic growth and development of effective land use policies. This paper will consider open land market as future possibility; however, it is relations and impact with urbanization falls outside of current research work scope.With this research we plan to describe the connection between rapid urbanization process and changes in agricultural land use from economical perspective. The author focuses his research work and economical modeling on case Ukraine. We plan to showcase changes of agricultural enterprise income, in case of population migration to large urban centers. Additionally, we will study the cases of effective land resource management, where we will study whether it is more profitable for companies to establish the new enterprise closer or inside urban areas as opposed to farmland regions. In this research we plan to highlight the major economical differences of company's startup and operations costs based on available transportation network, land resources and local agricultural specialization. The research work should introduce possible outcomes for small, medium companies, also separating those that are part of international corporate structure and local business. The research will cover whether local company can benefit from urbanization and what are its effects on individual famers earnings. One of the expected research outcomes is to describe how to increase added value of agricultural products with focus on city markets.For this study we used data mining and analytics approaches. During research work we placed great emphasis on determining, locating, and analyzing statistical data from multiple sources. Important art of the research work is identifying right data in context of our research, the one that has clear connection to urbanization process. Spatial data visualization was used to determine key urban centers in Ukraine, as well as locations of agricultural, food and processing companies. Other types of material used are official notional statistics data, European Union public reports, U.S. Department of Commerce datasheets, Kyiv city council, Municipal Enterprise "Kyivgenplan", private companies report, economists' publications, and Public cadastral map of Ukraine. Mathematical framework was used to build robust forecast model. The methodology of the study employed various mathematical tools, such as statistical analytics, polynomial and linear approximations, mathematical correlation, ratio analysis. Besides profit and utility curves were used for growth modeling and global forecast. Spatial data have been outlined as highly effective for predictions modeling and establishing connections with the existing urbanization growth models. Urbanization processes serve as catalyst for land use change and shift in economic activities . As more population migrate to urban centers, remote villages and towns shrink in size, lose work force and often local enterprise become bankrupt or shut down. There is a consequent indirect effect of urbanization on agriculture land use that is when local community become poor or bankrupt, the farmlands are rented by large agricultural holdings. Many researchers noted that agricultural holdings have no interest in development of local communities or investment in local business. Even though they employ local people, the average income of holdings farm employees is much lesser, then those farmers whose lands are in private use or those working in agricultural sector in neighboring European Union countries. The average salary is important factor when looking at land use by large companies since agricultural holdings business goals centered about exporting raw resources and they are registered as business entities in offshore countries.The scope of current research works is limited to the analyses of medium to large size food and processing companies, that operate in local Ukrainian market, with brief overview of food products export business. To build economical model the existing transport infrastructure in Ukraine and its neighboring European countries was studied and used in system analyses. Author analyzed available human resources, amount of investments, industry type and available transportation connections. As a part of research work, physical geographical placement (distance by road) of food and processing production companies relative to closest and regional urban center positions have been outlined. A large array of economical and spatial data has been processed. It was determined that parts of this data have low correlation levels, which makes it difficult to include for modeling purposes. Author made decision to make the necessary edits, generalization to simplify the initial economical model.To build a research model we will make the following assumptions and data sets. Let us use the city of Kyiv as the main market for food products, i.e. it is the largest city in Ukraine, with a huge number of food products consumers and significant financial resources. We shall label it as an urban center for this research work. It is important to note that new companies and international corporations choose to establish their business in the Kyiv or in the 50-kilometer zone from it. For modeling we will choose 12 enterprises, which are located both in the capital and in different regions of Ukraine - west, south, east and center. We rank the selected enterprises by the number of employees.In the context of our economic modeling, consider the land market, namely: the average cost of rent of 1 hectare per year, the location of the enterprise in an industrial region or in a separate settlement. Note that the production capacity of the investigated enterprises is concentrated in one production site (complex). However, the exception is the corporation "Milk Alliance" which has 5 separate production facilities, we will focus on the largest of them, located in the city of Yagotyn (others are located in Peratyn, Zolotonosha, Bashtanka).It is reported that the total area of land plots in Ukraine is 60.4 million hectares, of which 42.4 million hectares are agricultural land (32 million hectares are cultivated per year), the area of built-up land plots is 2550.4 thousand hectares. Land for industrial purposes, which includes the food industry is 224.1 thousand hectares. The cost of annual lease of land in Ukraine for 2019 population 3518 UAH/hectare per year.At the same time, the statistics by region are as follows: Kyiv - 2694 UAH per year; Kyiv region - 3474 UAH per year; Zhytomyr and region – 4000 UAH per year; Mykolaiv Oblast – 4103 UAH per year; Kharkiv and oblast – 3152 UAH per year; Odessa region – 4065 UAH per year; Lviv region - 4172 UAH per year; Donetsk oblast - 1832 UAH per year. It is planned that in 2020 the total revenues to local budgets from land rent will amount to 185,714,285 UAH per year.To understand the general picture of the relationship and economic performance of enterprises located in Kyiv and different regions of Ukraine, we shall consider Kyiv as a self-sufficient object, both in terms of products sales and production. The largest food retailers have opened more than 575 stores in Kyiv as of 2018, and more than 60 new stores are opened each year. The production of food, beverages and tobacco by Kyiv enterprises is 46.6% of the total industrial production, which employs 1,730,000 people (7.4% of total in Kyiv), and the average wage in industry is from 16,511 UAH/month in 2019. In total, there are 9069 industrial enterprises in the capital, which employ 278,863 people, the volume of products sold by industrial enterprises of Kyiv in 2019 amounted to 892,1765,46.2 thousand UAH. At the same time, there are 7351 natural persons-entrepreneurs operating in the capital (11,877 people are employed, the volume of sold products is 5,622,011.9 thousand UAH) in industry, including the volume of products sold by food industry enterprises – 125,140,998.9 thousand UAH according to 2019 data.It should be noted that in Kyiv the main industrial capacities of food and processing enterprises are concentrated in the following areas: Industrial zone " Degtyarivska Street" covers an area of 17.7 hectares; Podilsko-Kurenivskyi industrial district - 539.5 hectares, Pirogovo industrial zone - 121.9 hectares; Voskresensky industrial district - 107.2 hectares.For economic analysis we focused on comparison of three large enterprises of Ukraine, typical for the agricultural sector and food industry, one of which is in Kyiv – "Astrata", "Sandora" and "Kyivhlib". For calculations of transportation costs let's use the following data, 20 to 22 tons van will charge 27 UAH per km outside of Kyiv, while 10 tons van charges 20 UAH per km outside of Kyiv and 250 UAH per km within Kyiv.The "Astrata" corpopration, a large agricultural enterprise, has 5,470 employees, 230,000 hectares of land (aprox. 1514090000 UAH per yar for land rent), with Net profit of 12,631,155,000, Gross profit of 2,432,488,000 UAH, and a total salary expenditure of UAH 427,597,000 (average per employee 6514 UAH per month). For our research we are using one of the sugar processing factories that is part of Astrata holding, it is in Hlobyne, Poltavska oblast. The distance from Hlobyne to Kyiv center is 287 km, so it will cost 7749 UAH per large van to transport products to Kyiv.One of the largest food manufacturers in Ukraine is "Sandora". It consists of 3230 employees, total salary expenses - 630 128 thousand UAH (average per employee 16,257 UAH per month), have a land area of 1.3646 hectares (aprox. 5600 UAH per yar for land rent) and a unit cost of production - 22.66 UAH per liter of apple. Single 10-ton van will charge 10020 UAH to transport products to Kyiv (501km distance to the city center).For Kyiv study we picked "Kyivhlib", which has 1911 employees, total salary expenses – 168,227 thousand UAH (average per employee 14,019 UAH per month), have a land area of 8 hectares (aprox. 21552 UAH per yar for land rent) and the unit cost of production - 14.9 UAH per kg of rye-wheat bread. It will cost 7500 UAH to transport products within 30 km of Kyiv center by 10-ton van. Distance from the production location to the market is not always proportional to net profit. The research results have proved that it is worth examining the data from the same sub-industries companies in several regions, with focus on large cities as main market for those companies' products. ; The paper is devoted to studying the economic and social connections between the urbanization process and agricultural land use in Ukraine. It is worth noting that both urbanization and agriculture require new lands for their future development. The important part of this connection is ecology and effective use of the available resources, as well as land use in the context of urbanization. After all, the process of urbanization can have a significant negative impact on the state of land resources. The research work determines which economic factors of urbanization are the most relevant to the land use in city suburbs and agricultural regions. The article introduces the notion of economic feasibility of land use by purpose and studies cases of food and processing companies. Food and processing industries were chosen as the main research subjects since they are the most promising fields for the future economic development of each individual region and country as a whole. These industries are centered around both import and export, besides producing added value products. Cities without a doubt are the main consumers of food products and at the same time, they drain labor resources from the countryside. In this research work, we studied the global situation in Ukraine, how 21-century urbanization has affected the agricultural sector in the country. This sector has experienced rapid growth in past decades, as opposed to industrial and manufacturing sectors, and increased the national wide level of land use. While the national wide level of urbanization might not be the highest in modern history (20th to 21st century), it continues to have a wide impact on the national economy. The scope of this impact falls outside of this research work as it consists of multidimensional data and a wide range of interdependencies, including policies and regulations. Research models require a large amount of data and cases, that's why we focused on the food and processing sector in this paper. They proved to be a good test ground to study the urbanization impact patterns as well as make economical modeling more convenient. In this context, the peculiarities of land use models were studied, as food and processing industries use land resources, can be located both inside the city, suburban area, or in remote farmland region. It is evident that cities and businesses form large supply and demand of natural resources, labor, and financial investments.

Problem setting. The current stage of social development poses on a global scale of countries tasks and requirements concerning public administration systems' construction taking into account basic principles of democracy, onward movement, balance, sustainable development. A new space of social interaction is being formed, which is characterized by fundamentally different peculiarities, while changing the traditional social roles of modern society and its individuals. Our state also needs an open and transparent governance that can face the new contemporary challenges and requirements, where digital technologies can substantially stimulate development of the transparent information society as one of the essential factors of Ukrainian democracy progress, increase of productivity, economic growth, job creation as well as appearance of new forms of solidarity, partnership and cooperation, significant increase of life quality of the whole society and its individuals.Recent research and publications analysis. In the modern scientific literature on the subject of our study there is a number of publications that to some extent respond to the demand of research raised. In consideration of the appearance of new research areas as well as attempts to characterize current trends in social development in terms of new technologies' usage in the field of public administration the researches of recent years are worthy of notice. Thus, the publications of R. Vlasenko, O. Kolomytseva and I. Shevchuk, O. Orlov, O. Orlov and A. Serenok, O. Pizhuk, L. Samoilenko, V. Chekina and S. Kniaziev, I. Shkyrta and V. Lazar are devoted to certain issues related to our study, on the main results of which we relied in its conducting.Highlighting previously unsettled parts of the general problem. The Ukrainian Government has determined a new main direction for further development of Ukrainian society; it made a decision on general digitalization, digital transformation, introduction of the latest achievements in the field of information and telecommunications technologies in all spheres of life, which begin to play a top-ranked role and transform into a key factor affecting almost all social processes – from daily to global. In view of the aforesaid the study of state support for organization and implementation of relevant arrangements is of great relevance, because countries that do not focus enough attention on this issue, risk losing their positions not only in the IT sphere, but also in others – economic, financial, humanitarian, etc.Paper main body. Over the past few years emerged a global trend, the impact of which on public administration is currently not very noticeable, but in a few years it can become a determining factor in operations with data in political and social spheres. The matter concerns shifting the emphasis towards Big Data analysis technologies' usage, which became widespread mainly in commercial and private spheres.Nowadays the usage of new technologies to achieve the public good is a global trend that gives impressive results, because in forming of Big Data content are involved all participants of public-civil interaction actualizing in that way potential areas of its usage, among which, in particular: tracking the dynamics of public opinions' change on the effectiveness of public authorities' activities, forecasting, elaboration, appropriate decision-making on further socio-economic development of certain territories and assessing their effectiveness and efficiency, analysis of changes in audience mood and response to published information about public authorities' activities and implemented administrative decisions, identification of basic needs, requests and pursuits of inhabitants of the certain territory, identification of the main problem issues requiring urgent solutions, etc.Already now the work is under way at the state level on the wider usage of modern e-governance tools, including automation of data bulk processing and information-analytical support of administrative decisions, optimization and automation of administrative processes, implementation of electronic interaction forms. The main task to ensure the development of e-governance in the basic fields of Ukraine is implementation of information and telecommunication systems of decision-making support and automation of administrative processes (including usage of prospective geographic information technologies, Internet of Things, Big Data processing technologies and Blockchain).Therefore now when public authorities have an opportunity not only to collect but also to analyze and manage Big Data, they have received a powerful tool for its effective usage to construct a safer society, to improve and optimize its administrative functions, to forecast and reduce the government spending, etc.Conclusions of the research and prospects for further studies. Thus, the benefits of Big Data usage in public authorities are obvious. They allow to reveal hidden patterns that are invisible to human perception. And this provides good opportunities for optimization of all spheres of human life: public and municipal government in general, medicine, security, finance, transport, education and more. Therefore, further research on the analysis of implementation and usage of specific e-governance tools in the basic fields of Ukraine concerning decision-making support and automation of administrative processes seem to be very promising. ; Розглянуто основні підходи до застосування технологій аналізу даних великих масивів у сучасній практиці публічного управління України. Показано, що використання новітніх технологій з метою досягнення суспільного блага є загальносвітовою тенденцією, яка здатна принести вражаючі результати усім суб'єктам і об'єктам державної політики, залученим до відповідних процесів її формування й реалізації. Продемонстровано, що нині на рівні органів державної влади інтенсифікується робота щодо ширшого застосування сучасних інструментів електронного урядування у базових галузях України з метою підтримки прийняття управлінських рішень та автоматизації адміністративних процесів. Розкрито базові принципи реалізації державної політики цифрового розвитку в сучасній Україні.

Problem setting. The current stage of social development poses on a global scale of countries tasks and requirements concerning public administration systems' construction taking into account basic principles of democracy, onward movement, balance, sustainable development. A new space of social interaction is being formed, which is characterized by fundamentally different peculiarities, while changing the traditional social roles of modern society and its individuals. Our state also needs an open and transparent governance that can face the new contemporary challenges and requirements, where digital technologies can substantially stimulate development of the transparent information society as one of the essential factors of Ukrainian democracy progress, increase of productivity, economic growth, job creation as well as appearance of new forms of solidarity, partnership and cooperation, significant increase of life quality of the whole society and its individuals.Recent research and publications analysis. In the modern scientific literature on the subject of our study there is a number of publications that to some extent respond to the demand of research raised. In consideration of the appearance of new research areas as well as attempts to characterize current trends in social development in terms of new technologies' usage in the field of public administration the researches of recent years are worthy of notice. Thus, the publications of R. Vlasenko, O. Kolomytseva and I. Shevchuk, O. Orlov, O. Orlov and A. Serenok, O. Pizhuk, L. Samoilenko, V. Chekina and S. Kniaziev, I. Shkyrta and V. Lazar are devoted to certain issues related to our study, on the main results of which we relied in its conducting.Highlighting previously unsettled parts of the general problem. The Ukrainian Government has determined a new main direction for further development of Ukrainian society; it made a decision on general digitalization, digital transformation, introduction of the latest achievements in the field of information and telecommunications technologies in all spheres of life, which begin to play a top-ranked role and transform into a key factor affecting almost all social processes – from daily to global. In view of the aforesaid the study of state support for organization and implementation of relevant arrangements is of great relevance, because countries that do not focus enough attention on this issue, risk losing their positions not only in the IT sphere, but also in others – economic, financial, humanitarian, etc.Paper main body. Over the past few years emerged a global trend, the impact of which on public administration is currently not very noticeable, but in a few years it can become a determining factor in operations with data in political and social spheres. The matter concerns shifting the emphasis towards Big Data analysis technologies' usage, which became widespread mainly in commercial and private spheres.Nowadays the usage of new technologies to achieve the public good is a global trend that gives impressive results, because in forming of Big Data content are involved all participants of public-civil interaction actualizing in that way potential areas of its usage, among which, in particular: tracking the dynamics of public opinions' change on the effectiveness of public authorities' activities, forecasting, elaboration, appropriate decision-making on further socio-economic development of certain territories and assessing their effectiveness and efficiency, analysis of changes in audience mood and response to published information about public authorities' activities and implemented administrative decisions, identification of basic needs, requests and pursuits of inhabitants of the certain territory, identification of the main problem issues requiring urgent solutions, etc.Already now the work is under way at the state level on the wider usage of modern e-governance tools, including automation of data bulk processing and information-analytical support of administrative decisions, optimization and automation of administrative processes, implementation of electronic interaction forms. The main task to ensure the development of e-governance in the basic fields of Ukraine is implementation of information and telecommunication systems of decision-making support and automation of administrative processes (including usage of prospective geographic information technologies, Internet of Things, Big Data processing technologies and Blockchain).Therefore now when public authorities have an opportunity not only to collect but also to analyze and manage Big Data, they have received a powerful tool for its effective usage to construct a safer society, to improve and optimize its administrative functions, to forecast and reduce the government spending, etc.Conclusions of the research and prospects for further studies. Thus, the benefits of Big Data usage in public authorities are obvious. They allow to reveal hidden patterns that are invisible to human perception. And this provides good opportunities for optimization of all spheres of human life: public and municipal government in general, medicine, security, finance, transport, education and more. Therefore, further research on the analysis of implementation and usage of specific e-governance tools in the basic fields of Ukraine concerning decision-making support and automation of administrative processes seem to be very promising. ; Розглянуто основні підходи до застосування технологій аналізу даних великих масивів у сучасній практиці публічного управління України. Показано, що використання новітніх технологій з метою досягнення суспільного блага є загальносвітовою тенденцією, яка здатна принести вражаючі результати усім суб'єктам і об'єктам державної політики, залученим до відповідних процесів її формування й реалізації. Продемонстровано, що нині на рівні органів державної влади інтенсифікується робота щодо ширшого застосування сучасних інструментів електронного урядування у базових галузях України з метою підтримки прийняття управлінських рішень та автоматизації адміністративних процесів. Розкрито базові принципи реалізації державної політики цифрового розвитку в сучасній Україні.

The method of statistical data processing of a multifactorial experiment is described in the study of technological processes of repair and modernization of weapons and military equipment. ; Изложена методика статистической обработки данных многофакторного эксперимента при исследовании технологических процессов ремонта и модернизации вооружения и военной техники. ; Викладено методику статистичної обробки даних багатофакторного експерименту у разі дослідженнятехнологічних процесів ремонту й модернізації озброєння та військової техніки.