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    Алгоритмічне та програмне забезпечення комп’ютерного бачення на прикладі сфери масового обслуговування

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    Актуальність теми: необхідність розпізнавати небажаних осіб та вік, стать і емоційний стан відвідувачів об’єктів сфери масового обслуговування із фото та відеофайлів з камер спостереження. Мета дослідження: аналіз методів ідентифікації осіб за фото та відеофайлами та отримання іх біометричного шаблону. Для реалізації поставленої мети були сформульовані наступні завдання: дослідження існуючих способів розпізнавання осіб та їх біометричного шаблону у сфері масового обслуговування; дослідження існуючих технічних способів ідентифікації осіб; підбір архітектури бекбоунів для нейронної мережі моделі розпізнавання; підбір навчальних датасетів для тренування моделі розпізнавання; розробка програмного забезпечення, яке використовує спроектовану модель розпізнавання; порівняння результатів реалізованої моделі з існуючими засобами ідентифікації осіб. Об’єкт дослідження: процес ідентифікації особи по обличчю та отримання її біометричного шаблону за допомогою методів машинного навчання. Предмет дослідження: точність та ефективність алгоритмів комп’ютерного бачення для обробки фото та відео з наявною великою кількістю осіб. Методи дослідження: дослідження, аналіз, експеримент. Наукова новизна: найбільш суттєвими науковими результатами магістерської дисертації є реалізація унікального програмного модулю для ідентифікації осіб та отримання їх біометричного шаблону за допомогою сучасних алгоритмів комп’ютерного бачення. Практичне значення отриманих результатів визначається тим, що запропоноване програмне рішення може бути використане на об’єктах сфери масового обслуговування для визначення злочинців та емоційного стану відвідувачів. Зв’язок роботи з науковими програмами, планами, темами: Робота виконувалась на кафедрі автоматизованих систем обробки інформації та управління Національного технічного університету України «Київський політехнічний інститут ім. Ігоря Сікорського» в рамках теми «Методи та технології високопродуктивних обчислень та обробки надвеликих масивів даних». Державний реєстраційний номер 0117U000924. Апробація: Основні положення роботи доповідались і обговорювались на Міжнародному науковому симпозіумі "Інтелектуальні рішення" (IntSol-2019), публікувались у науково-технічного журналі “Сучачний захист інформації” 4(36), 2018, виданні “Захист інформації”, том 21, №3, виданні “Magyar Tudomanyos Journal” №31(2019). Публікації: Наукові положення дисертації опубліковані в матеріалах Міжнародного наукового симпозіума "Інтелектуальні рішення" (IntSol- 2019), науково-технічного журналу “Сучачний захист інформації” 4(36), 2018, видання “Захист інформації”, том 21, №3, видання “Magyar Tudomanyos Journal” №31(2019).Topic relevance: the need to recognize unwanted people and the age, gender and emotional state of visitors of retail locations from photos and videos from surveillance cameras. Research purpose: to analyze the methods of identification of persons by photos and videos and to obtain their biometric portrait. To achieve this goal, the following tasks were formulated: research of existing ways of identifying persons and their biometric pattern in queuing; study of existing technical means of identification of persons; selection of the backbone architecture for the neural network recognition model; selection of training datasets for training model recognition; development of software that uses a designed recognition model; comparison of the results of the implemented model with the existing means of identification of persons. Research object: the process of identifying a person by face and obtaining his biometric template using machine learning methods. Research subject: the accuracy and effectiveness of computer vision algorithms for processing multiple-person photos and videos. Research methods: research, analysis, experiment. Scientific Novelty: the most significant scientific result of a master's thesis is the implementation of a unique software module for identifying individuals and obtaining their biometric template using modern computer vision algorithms. The practical significance of the results obtained is determined by the fact that the proposed algorithmic and software solution can be used in queuing facilities to identify criminals and emotional state of visitors. Relationship with working with scientific programs, plans, topics: The work was performed at the Department of Automated Information Processing and Management Systems of the National Technical University of Ukraine «Kyiv Polytechnic Institute Igor Sikorsky” within the topic “Methods and technologies of high-performance computing and processing of large data sets”. State Registration Number 0117U000924. Testing: The main points of the work were reported and discussed at the International Scientific Symposium "Intelligent Solutions" (IntSol-2019), published in the scientific and technical journal "Modern information protection" 4 (36), 2018, publication "Information protection", volume 21, no. 3, editions of “Magyar Tudomanyos Journal” No. 31 (2019). Publications: Scientific Provisions of the Dissertation Published in Materials of the International Scientific Symposium "Intelligent Solutions" (IntSol-2019), Scientific and Technical Journal "Modern Information Protection" 4 (36), 2018, "Information Security", Volume 21, No.3, Edition “Magyar Tudomanyos Journal” No. 31 (2019)

    On potential cognitive abilities in the machine kingdom

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    The final publication is available at Springer via http://dx.doi.org/10.1007/s11023-012-9299-6Animals, including humans, are usually judged on what they could become, rather than what they are. Many physical and cognitive abilities in the ‘animal kingdom’ are only acquired (to a given degree) when the subject reaches a certain stage of development, which can be accelerated or spoilt depending on how the environment, training or education is. The term ‘potential ability’ usually refers to how quick and likely the process of attaining the ability is. In principle, things should not be different for the ‘machine kingdom’. While machines can be characterised by a set of cognitive abilities, and measuring them is already a big challenge, known as ‘universal psychometrics’, a more informative, and yet more challenging, goal would be to also determine the potential cognitive abilities of a machine. In this paper we investigate the notion of potential cognitive ability for machines, focussing especially on universality and intelligence. We consider several machine characterisations (non-interactive and interactive) and give definitions for each case, considering permanent and temporal potentials. From these definitions, we analyse the relation between some potential abilities, we bring out the dependency on the environment distribution and we suggest some ideas about how potential abilities can be measured. Finally, we also analyse the potential of environments at different levels and briefly discuss whether machines should be designed to be intelligent or potentially intelligent.We thank the anonymous reviewers for their comments, which have helped to significantly improve this paper. This work was supported by the MEC-MINECO projects CONSOLIDER-INGENIO CSD2007-00022 and TIN 2010-21062-C02-02, GVA project PROMETEO/2008/051, the COST - European Cooperation in the field of Scientific and Technical Research IC0801 AT. Finally, we thank three pioneers ahead of their time(s). We thank Ray Solomonoff (1926-2009) and Chris Wallace (1933-2004) for all that they taught us, directly and indirectly. And, in his centenary year, we thank Alan Turing (1912-1954), with whom it perhaps all began.Hernández-Orallo, J.; Dowe, DL. (2013). On potential cognitive abilities in the machine kingdom. Minds and Machines. 23(2):179-210. https://doi.org/10.1007/s11023-012-9299-6S179210232Amari, S., Fujita, N., Shinomoto, S. (1992). Four types of learning curves. Neural Computation 4(4), 605–618.Aristotle (Translation, Introduction, and Commentary by Ross, W.D.) (1924). Aristotle’s Metaphysics. Oxford: Clarendon Press.Barmpalias, G. & Dowe, D. L. (2012). 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(Eds.), Proceedings of 3rd international conference on artificial general intelligence (pp. 25–30). New York: Atlantis Press.Hernández-Orallo, J., & Dowe, D. L. (2010). Measuring universal intelligence: Towards an anytime intelligence test. Artificial Intelligence, 174(18), 1508–1539.Hernández-Orallo, J. & Dowe, D. L. (2011, April). Mammals, machines and mind games. Who’s the smartest?. The conversation, http://theconversation.edu.au/mammals-machines-and-mind-games-whos-the-smartest-566 .Hernández-Orallo J., Dowe D. L., España-Cubillo S., Hernández-Lloreda M. V., & Insa-Cabrera J. (2011). On more realistic environment distributions for defining, evaluating and developing intelligence. In: J. Schmidhuber, K. R. Thórisson, & M. Looks (Eds.), Artificial general intelligence 2011, volume 6830, LNAI series, pp. 82–91. New York: Springer.Hernández-Orallo, J., Dowe, D. L., & Hernández-Lloreda, M. V. (2012a, March). 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    Intelligent Packaging Systems: Sensors and Nanosensors to Monitor Food Quality and Safety

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    Indexación: Web of Science y Scopus.The application of nanotechnology in different areas of food packaging is an emerging field that will grow rapidly in the coming years. Advances in food safety have yielded promising results leading to the development of intelligent packaging (IP). By these containers, it is possible to monitor and provide information of the condition of food, packaging, or the environment. This article describes the role of the different concepts of intelligent packaging. It is possible that this new technology could reach enhancing food safety, improving pathogen detection time, and controlling the quality of food and packaging throughout the supply chain.https://www.hindawi.com/journals/js/2016/4046061/cta

    An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders

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    The data mining along with emerging computing techniques have astonishingly influenced the healthcare industry. Researchers have used different Data Mining and Internet of Things (IoT) for enrooting a programmed solution for diabetes and heart patients. However, still, more advanced and united solution is needed that can offer a therapeutic opinion to individual diabetic and cardio patients. Therefore, here, a smart data mining and IoT (SMDIoT) based advanced healthcare system for proficient diabetes and cardiovascular diseases have been proposed. The hybridization of data mining and IoT with other emerging computing techniques is supposed to give an effective and economical solution to diabetes and cardio patients. SMDIoT hybridized the ideas of data mining, Internet of Things, chatbots, contextual entity search (CES), bio-sensors, semantic analysis and granular computing (GC). The bio-sensors of the proposed system assist in getting the current and precise status of the concerned patients so that in case of an emergency, the needful medical assistance can be provided. The novelty lies in the hybrid framework and the adequate support of chatbots, granular computing, context entity search and semantic analysis. The practical implementation of this system is very challenging and costly. However, it appears to be more operative and economical solution for diabetes and cardio patients.Comment: 11 PAGE

    Fuzzy-logic-based control, filtering, and fault detection for networked systems: A Survey

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    This paper is concerned with the overview of the recent progress in fuzzy-logic-based filtering, control, and fault detection problems. First, the network technologies are introduced, the networked control systems are categorized from the aspects of fieldbuses and industrial Ethernets, the necessity of utilizing the fuzzy logic is justified, and the network-induced phenomena are discussed. Then, the fuzzy logic control strategies are reviewed in great detail. Special attention is given to the thorough examination on the latest results for fuzzy PID control, fuzzy adaptive control, and fuzzy tracking control problems. Furthermore, recent advances on the fuzzy-logic-based filtering and fault detection problems are reviewed. Finally, conclusions are given and some possible future research directions are pointed out, for example, topics on two-dimensional networked systems, wireless networked control systems, Quality-of-Service (QoS) of networked systems, and fuzzy access control in open networked systems.This work was supported in part by the National Natural Science Foundation of China under Grants 61329301, 61374039, 61473163, and 61374127, the Hujiang Foundation of China under Grants C14002 andD15009, the Engineering and Physical Sciences Research Council (EPSRC) of the UK, the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany
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