Застосування інтелектуальних пакувальних пристроїв

1. Biji K. B., Ravishankar C. N., Mohan C. O., Gopal T. K. S. "Smart packaging systems for food applications: a review," J Food Sci Technol, 2015. vol. 52, 6125-6135. 2. Fang, Z., Zhao Y., Warner, R. Johnson, S. Active and intelligent packaging in meat industry. Trends in Food Science and Technology. 2017. 60-71. 3. Worldwide Markets for Smart Packaging 2018-2023 – Oxygen Scavenger Technology Expected to Lead the Market. URL. https://www.financialbuzz.com/worldwide-markets-for-smart-packaging-oxygen- scavenger-technology-expected-to-lead-the-market-1266026/ 4. Zagurskiy О., Titova L.Problems and Prospects of Blockchain Technology Usage in Supply Chains Journal of Automation and Information Sciences, 2019. Volume 11. 63- 74.Постійно зростаюча торгівля швидкопсувними харчовими продуктами, на яку впливають різні негативні фактори у вигляді тимчасових затримок і температурних відхилень, вимагає жорсткого контролю якості. А оскільки взаємні впливи цих факторів можуть серйозно знизити якість швидкопсувних продуктів важливого значення набуває їх постійний моніторинг

Intelligent Packaging Systems: Sensors and Nanosensors to Monitor Food Quality and Safety

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

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

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

Robot Autonomy for Surgery

Autonomous surgery involves having surgical tasks performed by a robot operating under its own will, with partial or no human involvement. There are several important advantages of automation in surgery, which include increasing precision of care due to sub-millimeter robot control, real-time utilization of biosignals for interventional care, improvements to surgical efficiency and execution, and computer-aided guidance under various medical imaging and sensing modalities. While these methods may displace some tasks of surgical teams and individual surgeons, they also present new capabilities in interventions that are too difficult or go beyond the skills of a human. In this chapter, we provide an overview of robot autonomy in commercial use and in research, and present some of the challenges faced in developing autonomous surgical robots