Showing 1 - 6 results of 6 for search '"вбудоване програмне забезпечення"', query time: 3.72s Refine Results
  1. 1
  2. 2
  3. 3
    Academic Journal

    Source: Ukrainian Scientific Journal of Information Security; Vol. 30 No. 1 (2024): Ukrainian Scientific Journal of Information Security ; 29-36 ; Безопасность информации; Том 30 № 1 (2024): Безпека інформації; 29-36 ; Безпека інформації; Том 30 № 1 (2024): Безпека інформації; 29-36 ; 2411-071X ; 2225-5036

    File Description: application/pdf

  4. 4
  5. 5
    Academic Journal

    Contributors: Національний університет “Львівська політехніка”, Lviv Polytechnic National University

    Subject Geographic: Львів, Lviv

    File Description: 12-26; application/pdf; image/png

    Relation: Computer Design Systems. Theory and Practice, 1 (1), 2019; https://www.st.com/content/st_com/en/products/mems-and-sensors/ecompasses.html; https://www.memsic.com/magnetic-sensors/; http://en.wikipedia.org/wiki/Compass; http://en.wikipedia.org/wiki/Lodestone; https://en.wikipedia.org/wiki/Earth%27s_magnetic_field; https://www.livescience.com/32732-how-does-a-compass-work.html; http://www.cypress.com/?docID=221; http://cache.freescale.com/files/sensors/doc/app_note/AN4248.pdf; https://www.pololu.com/file/0J434/LSM303DLH-compass-app-note.pdf; https://www.st.com/en/mems-and-sensors/lsm303dlhc.html; https://www.st.com/resource/en/datasheet/DM00027543.pdf; 1. Electronic resource: https://www.st.com/content/st_com/en/products/mems-and-sensors/ecompasses.html; 2. Electronic resource: https://www.memsic.com/magnetic-sensors/; 3. Compass.” [Online]. Available: http://en.wikipedia.org/wiki/Compass[2] “Lodestone”. [Online] .Available: http://en.wikipedia.org/wiki/Lodestone; 4. Electronic resource: https://en.wikipedia.org/wiki/Earth%27s_magnetic_field; 5. Electronic resource: https://www.livescience.com/32732-how-does-a-compass-work.html; 6. Grygorenko V., “Cypress application note – magnetic compass with tilt compensation-an2272”. [Online].Available: http://www.cypress.com/?docID=221.; 7. Application note AN4248: “Implementing a Tilt-Compensated eCompass using Accelerometer and Mag-netometer Sensors”, 2012, http://cache.freescale.com/files/sensors/doc/app_note/AN4248.pdf.; 8. Application note AN3192: “Using LSM303DLH for a tilt compensated electronic compass” https://www.pololu.com/file/0J434/LSM303DLH-compass-app-note.pdf.; 9. Electronic resource: https://www.st.com/en/mems-and-sensors/lsm303dlhc.html; 3. Compass." [Online]. Available: http://en.wikipedia.org/wiki/Compass[2] "Lodestone". [Online] .Available: http://en.wikipedia.org/wiki/Lodestone; 6. Grygorenko V., "Cypress application note – magnetic compass with tilt compensation-an2272". [Online].Available: http://www.cypress.com/?docID=221.; 7. Application note AN4248: "Implementing a Tilt-Compensated eCompass using Accelerometer and Mag-netometer Sensors", 2012, http://cache.freescale.com/files/sensors/doc/app_note/AN4248.pdf.; 8. Application note AN3192: "Using LSM303DLH for a tilt compensated electronic compass" https://www.pololu.com/file/0J434/LSM303DLH-compass-app-note.pdf.; Development of digital compass based on AVR microcontroller and MEMS ACCELEROMETER-magnetometer module LSM303DLHC / A. Holovatyy, V. Teslyuk, K. Kolesnyk, V. Tabala // Computer Design Systems. Theory and Practice. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 1. — No 1. — P. 12–26.; https://ena.lpnu.ua/handle/ntb/55843

  6. 6
    Dissertation/ Thesis

    Contributors: Гром'як, Роман Сильвестрович, Тиш, Євгенія Володимирівна, ТНТУ ім. І. Пулюя, Факультет комп’ютерно-інформаційних систем і програмної інженерії, Кафедра комп’ютерних наук, м. Тернопіль, Україна

    Relation: 1 Kitchin, Rob. "The Data Revolution: A critical analysis of big data, open data and data infrastructures." The Data Revolution (2021): 1-100.; 2 Liagkou, Vasiliki, et al. "Challenges and opportunities in industry 4.0 for mechatronics, artificial intelligence and cybernetics." Electronics 10.16 (2021): 2001.; 3 Zhou, Yuchen, et al. "Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities." IEEE Communications Surveys & Tutorials 22.1 (2019): 389-425.; 4 Ren, Ju, et al. "A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet." ACM Computing Surveys (CSUR) 52.6 (2019): 1-36.; 5 Schranz, Melanie, et al. "Swarm intelligence and cyber-physical systems: concepts, challenges and future trends." Swarm and Evolutionary Computation 60 (2021): 100762.; 6 Rymarczyk, Jan. "Technologies, opportunities and challenges of the industrial revolution 4.0: theoretical considerations." Entrepreneurial business and economics review 8.1 (2020): 185-198.; 7 Serpanos, Dimitrios, et al. "Embedded artificial intelligence: The ARTEMIS vision." Computer 53.11 (2020): 65-69.; 8 Rodriguez-Rincon, Daniela, et al. "Study on the proposal evaluation system for the EU R&I framework programme. Final Report." (2022).; 9 Pomante, Luigi, et al. "Design and management of image processing pipelines within CPS: 2 years of experience from the FitOptiVis ECSEL Project." 2020 23rd Euromicro Conference on Digital System Design (DSD). IEEE, 2020.; 10 de Amorim Silva, Rafael, and Rosana T. Vaccare Braga. "Enhancing future classroom environments based on systems of systems and the internet of anything." IEEE Internet of Things Journal 7.10 (2020): 10475-10482.; 11 Ande, Ruth, et al. "Internet of Things: Evolution and technologies from a security perspective." Sustainable Cities and Society 54 (2020): 101728.; 12 Nakagawa, Elisa Yumi, et al. "Industry 4.0 reference architectures: State of the art and future trends." Computers & Industrial Engineering 156 (2021): 107241.; 13 Thomason, Jane. "Big tech, big data and the new world of digital health." Global Health Journal 5.4 (2021): 165-168.; 14 Mcharek, Mehdi, et al. "Collaboration and multidisciplinary design optimization for mechatronic systems." IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society. Vol. 1. IEEE, 2019.; 15 Azzouzi, Elmehdi, et al. "A survey on systems engineering methodologies for large multi-energy cyber-physical systems." 2019 IEEE international systems conference (SysCon). IEEE, 2019.; 16 Cervo, Andrea, et al. "Decentralized line equipment detection and production control by multi-agent technology." IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society. Vol. 1. IEEE, 2019.; 17 Weyns, Danny, et al. "A research agenda for smarter cyber-physical systems." Journal of Integrated Design and Process Science 25.2 (2021): 27-47.; 18 Shi, Yang, and Kunwu Zhang. "Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives." Annual Reviews in Control 52 (2021): 170-196.; 19 Bork, Dominik, Dimitris Karagiannis, and Benedikt Pittl. "A survey of modeling language specification techniques." Information Systems 87 (2020): 101425.; 20 Leander, Björn. Dynamic Access Control for Industrial Systems. Diss. Malardalen University (Sweden), 2023.; 21 Hinkelman, Kathryn, et al. "Modelica-based modeling and simulation of district cooling systems: A case study." Applied Energy 311 (2022): 118654.; 22 Masoom, Alireza, et al. "Modelica-based simulation of electromagnetic transients using Dynaωo: Current status and perspectives." Electric Power Systems Research 197 (2021): 107340.; 23 Abugabbara, Marwan, et al. "Modelica-based simulations of decentralised substations to support decarbonisation of district heating and cooling." Energy Reports 7 (2021): 465-472.; 24 Barbieri, Giacomo, Cesare Fantuzzi, and Roberto Borsari. "A model-based design methodology for the development of mechatronic systems." Mechatronics 24.7 (2014): 833-843.; 25 Lee, Edward Ashford, and Sanjit Arunkumar Seshia. Introduction to embedded systems: A cyber-physical systems approach. MIT press, 2016.; 26 Sagi, Surya Vamsi Varma, and Leonard Petnga. "Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems." Recent Trends and Advances in Model Based Systems Engineering. Cham: Springer International Publishing, 2022. 165-176.; 27 Lee, Sangil, and Kwangyeol Ryu. "Development of the Architecture and Reconfiguration Methods for the Smart, Self-Reconfigurable Manufacturing System." Applied Sciences 12.10 (2022): 5172.; 28 Li, Jichun, and Yi-Tung Chen. Computational partial differential equations using MATLAB®. Crc Press, 2019.; 29 Schranz, M., and M. Sende. "Modeling swarm intelligence algorithms for cps swarms." ACM SIGAda Ada Letters 40.1 (2020): 64-73.; 30 Diaz, Anna, et al. "Sustainable product development in a circular economy: Implications for products, actors, decision-making support and lifecycle information management." Sustainable Production and Consumption 26 (2021): 1031-1045.; 31 Leng, Jiewu, et al. "Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey." Renewable and sustainable energy reviews 132 (2020): 110112.; 32 Mcharek, Mehdi, et al. "Collaborative design process and product knowledge methodology for mechatronic systems." Computers in Industry 105 (2019): 213-228.; 33 Zheng, Chen, et al. "Interface model-based configuration design of mechatronic systems for industrial manufacturing applications." Robotics and Computer-Integrated Manufacturing 59 (2019): 373-384.; 34 Akundi, Aditya, and Viviana Lopez. "A review on application of model based systems engineering to manufacturing and production engineering systems." Procedia Computer Science 185 (2021): 101-108.; 35 Sacks, Rafael, et al. "Toward artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design." Advanced Engineering Informatics 53 (2022): 101711.; 36 Liu, X. L., et al. "Industrial blockchain based framework for product lifecycle management in industry 4.0." Robotics and computer-integrated manufacturing 63 (2020): 101897.; 37 Xu, Li Da. "The contribution of systems science to Industry 4.0." Systems Research and Behavioral Science 37.4 (2020): 618-631.; 38 Andronie, Mihai, et al. "Big Data Management Algorithms, Deep Learning-Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things." ISPRS International Journal of Geo-Information 12.2 (2023): 35.; 39 Stark, Rainer, and Rainer Stark. "Major Technology 5: Product Data Management and Bill of Materials—PDM/BOM." Virtual Product Creation in Industry: The Difficult Transformation from IT Enabler Technology to Core Engineering Competence (2022): 223-272.; 40 Stark, John. "Product lifecycle management (PLM)." Product Lifecycle Management (Volume 1) 21st Century Paradigm for Product Realisation. Cham: Springer International Publishing, 2022. 1-32.; 41 Aranda-Mena, Guillermo, and Ron Wakefield. "Interoperability of building information—Myth of reality?." eWork and eBusiness in Architecture, Engineering and Construction. ECPPM 2006. CRC Press, 2020. 127-133.; 42 Pal, Kamalendu. "Internet of things and blockchain technology in apparel manufacturing supply chain data management." Procedia Computer Science 170 (2020): 450-457.; 43 Alam, Tanweer. "Cloud Computing and its role in the Information Technology." IAIC Transactions on Sustainable Digital Innovation (ITSDI) 1.2 (2020): 108-115.; 44 Watanabe, Kentaro, Takashi Okuma, and Takeshi Takenaka. "Evolutionary design framework for Smart PSS: Service engineering approach." Advanced Engineering Informatics 45 (2020): 101119.; 45 Fradi, Mouna, et al. "Conflict management for mechatronic systems design." 2021 IEEE International Symposium on Systems Engineering (ISSE). IEEE, 2021.; 46 Lv, Zhihan, et al. "Trustworthiness in industrial IoT systems based on artificial intelligence." IEEE Transactions on Industrial Informatics 17.2 (2020): 1496-1504.; 47 Costa Júnior, Ademir Almeida da. "A maturity model based on ISO/IEC/IEEE 42010: 2011 to identify technical debt in software architecture." (2020).; 48 Lu, Ye, et al. "A Comprehensive Control Method for Tendon-Sheath System using Friction Model-Based Angle Estimation and Feedforward-Feedback Control in Time-Varying Configurations." IEEE Transactions on Industrial Electronics (2023).; 49 Dan, Ning, Yuhao Yuan, and Jin Feng. "Fault-Tolerant Control of Speed Sensor for PMSM Based on Improved Maximum-Likelihood Voting." 2019 IEEE 8th joint international information technology and artificial intelligence conference (ITAIC). IEEE, 2019.; 50 Hariri, Reihaneh H., Erik M. Fredericks, and Kate M. Bowers. "Uncertainty in big data analytics: survey, opportunities, and challenges." Journal of Big Data 6.1 (2019): 1-16.; 51 Loquercio, Antonio, Mattia Segu, and Davide Scaramuzza. "A general framework for uncertainty estimation in deep learning." IEEE Robotics and Automation Letters 5.2 (2020): 3153-3160.; 52 Tohidi, Seyed Shahabaldin, and Yildiray Yildiz. "Discrete adaptive control allocation." 2021 American Control Conference (ACC). IEEE, 2021.; 53 Mittal, Anuj, Caroline C. Krejci, and Michael C. Dorneich. "An agent-based approach to designing residential renewable energy systems." Renewable and Sustainable Energy Reviews 112 (2019): 1008-1020.; 54 Lan, Kai, and Yuan Yao. "Integrating life cycle assessment and agent-based modeling: a dynamic modeling framework for sustainable agricultural systems." Journal of Cleaner Production 238 (2019): 117853.; 55 Dai, Erfu, et al. "Agent-based model of land system: Theory, application and modelling framework." Journal of Geographical Sciences 30 (2020): 1555-1570.; 56 Bueno, Adauto, Moacir Godinho Filho, and Alejandro G. Frank. "Smart production planning and control in the Industry 4.0 context: A systematic literature review." Computers & Industrial Engineering 149 (2020): 106774.; 57 Langmann, Reinhard, and Michael Stiller. "The PLC as a smart service in industry 4.0 production systems." Applied Sciences 9.18 (2019): 3815.; 58 Schade, Florian, et al. "Dynamic Partial Reconfiguration for Adaptive Sensor Integration in Highly Flexible Manufacturing Systems." Procedia CIRP 107 (2022): 1311-1316.; 59 Kovalenko, Ilya, Dawn Tilbury, and Kira Barton. "The model-based product agent: A control oriented architecture for intelligent products in multi-agent manufacturing systems." Control Engineering Practice 86 (2019): 105-117.; 60 Karnouskos, Stamatis, et al. "Key directions for industrial agent based cyber-physical production systems." 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS). IEEE, 2019.; 61 Karnouskos, Stamatis, et al. "Industrial agents as a key enabler for realizing industrial cyber-physical systems: Multiagent systems entering industry 4.0." IEEE Industrial Electronics Magazine 14.3 (2020): 18-32.; 62 Yang, Yiding, et al. "Learning dynamics via graph neural networks for human pose estimation and tracking." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021.; 63 Lokey-Vega, Anissa, and Stephanee Stephens. "A batch of one: A conceptual framework for the personalized learning movement." Journal of Online Learning Research 5.3 (2019): 311-330.; 64 Camilli, Matteo, Raffaela Mirandola, and Patrizia Scandurra. "Taming model uncertainty in self-adaptive systems using bayesian model averaging." Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems. 2022.; 65 Moin, Armin, et al. "Supporting AI engineering on the IoT edge through model-driven TinyML." 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2022.; 66 Song, Hui, et al. "Model-based fleet deployment in the IoT–edge–cloud continuum." Software and Systems Modeling 21.5 (2022): 1931-1956.; 67 Abiodun, Oludare Isaac, et al. "Comprehensive review of artificial neural network applications to pattern recognition." IEEE access 7 (2019): 158820-158846.; 68 Weyns, Danny. An introduction to self-adaptive systems: A contemporary software engineering perspective. John Wiley & Sons, 2020.; 69 Longfei, Shangguan, and Priyantha Bodhi, eds. Mobile and Ubiquitous Systems: Computing, Networking and Services: 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings. Vol. 492. Springer Nature, 2023.; 70 Ouareth, Selma, Soufiane Boulehouache, and Mazouzi Smaine. "Self-Adaptation Through Reinforcement Learning Using a Feature Model." International Journal of Organizational and Collective Intelligence (IJOCI) 12.4 (2022): 1-20.; 71 Zhao, Kang, Zhiya Zuo, and Jennifer V. Blackhurst. "Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach." Journal of Operations Management 65.2 (2019): 190-212.; 72 Stoica, Radu, et al. "Understanding the design trade-offs of hybrid flash controllers." 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2019.; 73 Bencomo, Nelly, Sebastian Götz, and Hui Song. "Models@ run. time: a guided tour of the state of the art and research challenges." Software & Systems Modeling 18 (2019): 3049-3082.; 74 Moin, Armin, et al. "Supporting AI engineering on the IoT edge through model-driven TinyML." 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2022.; 75 Mamro, Oleksandr, and Andrii Lagun. "Micro-service support by module architecture application of the service platform for OSGI Java additions." Measuring equipment and metrology, 1 (81), 2020 1 (2020): 30-33.; 76 Erazo-Garzón, Lenin, et al. "Models@ runtime and Internet of Things: A Systematic Literature Review." 2021 Second International Conference on Information Systems and Software Technologies (ICI2ST). IEEE, 2021.; 77 Moin, Armin, et al. "A model-driven approach to machine learning and software modeling for the IoT: Generating full source code for smart Internet of Things (IoT) services and cyber-physical systems (CPS)." Software and Systems Modeling 21.3 (2022): 987-1014.; 78 Стручок В.С. Безпека в надзвичайних ситуаціях. Методичний посібник для здобувачів освітнього ступеня «магістр» всіх спеціальностей денної та заочної (дистанційної) форм навчання / В.С.Стручок. — Тернопіль: ФОП Паляниця В. А., 2022. — 156 с; 79 Vogel-Heuser, Birgit, Jay Lee, and Paulo Leitão. "Agents enabling cyber-physical production systems." at-Automatisierungstechnik 63.10 (2015): 777-789.; Коваль А.А. Моделювання динамічних мереж міської інфраструктури з використанням кіберфізичних систем: кваліфікаційна робота освітнього рівня „Магістр“ „126 – Інформаційні системи і технології “ / А.А. Коваль. – Тернопіль : ТНТУ, 2023. – 72 с.; http://elartu.tntu.edu.ua/handle/lib/43374