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Journal articles on the topic 'Smart embedded systems'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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1

Dutt, Nikil, Axel Jantsch, and Santanu Sarma. "Toward Smart Embedded Systems." ACM Transactions on Embedded Computing Systems 15, no. 2 (2016): 1–27. http://dx.doi.org/10.1145/2872936.

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2

Wolf, W., B. Ozer, and T. Lv. "Smart cameras as embedded systems." Computer 35, no. 9 (2002): 48–53. http://dx.doi.org/10.1109/mc.2002.1033027.

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PRABHU, Dr S. R. BOSELIN, N. BALAKUMAR, and A. JOHNSON ANTONY. "A Research on Smart Transportation Using Sensors and Embedded Systems." International Journal of Innovative Research in Computer Science & Technology 5, no. 1 (2017): 198–202. http://dx.doi.org/10.21276/ijircst.2017.5.1.5.

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Naveen, Dr R. "Smart Intensive Care Unit Using Embedded Systems." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (2018): 333–38. http://dx.doi.org/10.22214/ijraset.2018.3050.

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M. Sai Priya, K. Satya Chandra Kiran, P. Haswitha, P. Komali Sai, Dr Sumanth Kumar Panguluri, and Shaik Akbar Vali. "Smart Flood Alerting System using Embedded Systems." international journal of engineering technology and management sciences 9, no. 2 (2025): 158–67. https://doi.org/10.46647/ijetms.2025.v09i02.023.

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One natural disaster that commonly brings about tremendous economic loss as well as lots of casualties is flooding. For purposes of mitigation, an IoT-based flood monitoring and warning system has been devised. The system relies on the utilization of an Arduino UNO, an LCD display, a buzzer, and a water level sensor. The system aims at monitoring water levels on a constant basis and provides real-time alert to an online server, and also provide flood warnings via SMS to approved phones. When a certain level is sensed by the water level sensor, an SMS warning is notified to approved mobile devi

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Thomas, Della, Gangineni Kireeti, and Dadi Nikhil. "Novel automotive embedded systems for smart mobility." Brazilian Journal of Development 11, no. 3 (2025): e78601. https://doi.org/10.34117/bjdv11n3-055.

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Automation systems in vehicles are rapidly evolving. This work explores an automatic car ventilation system and traffic management system utilizing microcontrollers. A cost-effective automated car ventilation system integrated with the vehicle’s existing systems, ensuring efficient control of interior temperature and air quality has been implemented. In future, smart traffic control will become a critical issue due to the growing number of road users and the limited resources provided by the current infrastructure. We have designed a traffic control system taking into account the density of tr

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Talawar, Arun K., Sunita S. Malaj, and Raju Hiremath. "An Analysis of : Embedded Systems in Embedded Processors Knack." Gyan Management Journal 17, no. 1 (2023): 78–84. http://dx.doi.org/10.48165/gmj.2022.17.1.9.

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The mechanisms via way of means of which software program interacts with the bodily international are converting rapidly. Today’s fashion is “smart” sensors and drives with microprocessors, community interfaces and software program that permit far flung get entry to to sensor records and far flung unit activation. There is likewise the Internet of Things (IoT), Industry 4.0, Industrial Internet, Machine to Machine, Internet of Everything, Smart Planet, TSensors (trillions of sensors) or Fog (similar, however towards the cloud). Earth is an expression of era that deeply connects our bodily and

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Sanika More, Shivam Mukhede, and Mrs. Minal Deshmukh. "Comparative Analysis of Embedded Operating Systems: A Criteria-Based Evaluation." international journal of engineering technology and management sciences 8, no. 1 (2024): 34–41. http://dx.doi.org/10.46647/ijetms.2024.v08i01.005.

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Nowadays, the Internet of Things (IoT) encompasses a wide range of applications, including smart home systems, healthcare devices, smart parking systems, and smart transportation solutions. For these types of IoT applications, embedded operating systems play a crucial role by providing excellent real-time performance and reliability. The important purpose of this system is to efficiently perform specific tasks. This paper provides a quantitative and qualitative analysis of embedded operating systems. The study in this paper focused on a selection of systems commonly utilized in industrial and

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Qi, Feng, Jie Ying Jiang, Hiroshi Oyama, Hiroaki Nagashima, and Takuya Azumi. "ECHONET Lite Framework Based on Embedded Component Systems." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, no. 1 (2022): 74–83. http://dx.doi.org/10.37936/ecti-cit.2022161.245976.

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The large number and many types of electrical equipment in modern house-holds pose major challenges to developers. To increase the breadth of smart homes, improving the development e°ciency of electrical equipment in smart homes is essential. The present research proposes a development method based on embedded components for devices in smart homes. Besides improving the development e°ciency, this method of development reduces the developmental complexity and increases the scalability of elec-trical equipment. The smart home devices are developed and controlled in TOPPERS Embedded-Component Sys

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Kazanavicius, Egidijus, Vygintas Kazanavicius, and Laura Ostaseviciute. "A Reusable Agent-Based Framework for Smart Embedded Systems." Solid State Phenomena 164 (June 2010): 227–32. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.227.

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Embedded computing systems still remain one of the underlying priorities in worldwide research communities. This paper presents an agent-based approach for embedded real-time systems design based on a reusable framework. The essence of our work lies on smart environment domain. Jade - a Java-based middleware is selected as a platform, facilitating the development of multi-agent embedded systems framework. Generic system architecture, framework prototype implementation and, subsequently, smart refrigerator control application are demonstrated, reasoning that the proposed method is effective in

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jan, S. I. Ra, M. Udhaya Devi, and A. Hepzi Kutty. "Embedded Based Smart Agriculture Monitoring and Control Systems." International Journal of Electronics and Communication Engineering 5, no. 4 (2018): 7–10. http://dx.doi.org/10.14445/23488549/ijece-v5i4p102.

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12

Xia, Chuanliang, Yan Sun, Bin Shen, and Maibo Guo. "Property Preservation of Object-Oriented Petri Reduction Net Based Representation for Embedded Systems." Electronics 12, no. 8 (2023): 1955. http://dx.doi.org/10.3390/electronics12081955.

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Embedded systems are widely used in automotive electronics, smart home, smart medical, aerospace and other fields. Aiming at the problem of formal modeling and verification analysis of embedded systems, a solution is proposed using extended Petri net reduction operations. Petri net based representation for embedded system (PRES+) and the object-oriented technology are combined to obtain the object-oriented PRES+ (OOPRES+). Two kinds of subnet reduction rules of OOPRES+ are presented. The preservation of boundedness and liveness of the reduction net system has been investigated to alleviate the

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Bukkapatnam, Krishnaveni, Prashant, Ch Kranthi Rekha, Eelandula Kumaraswamy, and Rambabu Vatti. "Smart Memory Management (SaMM) For Embedded Systems without MMU." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 032010. http://dx.doi.org/10.1088/1757-899x/981/3/032010.

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Alameh, Mohamad, Yahya Abbass, Ali Ibrahim, and Maurizio Valle. "Smart Tactile Sensing Systems Based on Embedded CNN Implementations." Micromachines 11, no. 1 (2020): 103. http://dx.doi.org/10.3390/mi11010103.

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Embedding machine learning methods into the data decoding units may enable the extraction of complex information making the tactile sensing systems intelligent. This paper presents and compares the implementations of a convolutional neural network model for tactile data decoding on various hardware platforms. Experimental results show comparable classification accuracy of 90.88% for Model 3, overcoming similar state-of-the-art solutions in terms of time inference. The proposed implementation achieves a time inference of 1.2 ms while consuming around 900 μ J. Such an embedded implementation of

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Konstantinou, Charalambos, and Michail Maniatakos. "Hardware-Layer Intelligence Collection for Smart Grid Embedded Systems." Journal of Hardware and Systems Security 3, no. 2 (2019): 132–46. http://dx.doi.org/10.1007/s41635-018-0063-0.

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Yin, Baihe. "An Investigation into the Intelligent Ecological Animal Husbandry Based on Embedded Systems." Applied and Computational Engineering 147, no. 1 (2025): 203–12. https://doi.org/10.54254/2755-2721/2025.22729.

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In response to China's imperative for sustainable livestock development and socioeconomic progress, the concurrent advancement of ecological and smart livestock farming is being promoted. The realization of a smart ecological livestock farming model necessitates the intelligent evolution of both equipment and management practices, alongside the application of computer technologies such as big data and cloud computing. However, current systems suffer from poor interoperability and compatibility, which impedes effective data integration and sharing. Furthermore, the existing technological soluti

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Fan, Yang-Hsin. "Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments." Energies 13, no. 18 (2020): 4758. http://dx.doi.org/10.3390/en13184758.

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Many embedded systems are implemented for healthcare, and smart homes and spaces. These devices are generally designed for elderly care, for monitoring, surveillance, and collection information. As embedded systems are ubiquitous and pervasive in a smart home, office, or space, different layout affects not only reduce the implementation cost but also the power density of electromagnetic waves. This study aimed to develop a multiple-embedded-system optimization layout to consume less electromagnetic wave power density and gain better communication strength. For smart offices, we analyzed the la

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18

Ferreira, Pedro M., Miguel A. Machado, Marta S. Carvalho, and Catarina Vidal. "Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review." Sensors 22, no. 21 (2022): 8320. http://dx.doi.org/10.3390/s22218320.

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Sensing Technology (ST) plays a key role in Structural Health-Monitoring (SHM) systems. ST focuses on developing sensors, sensory systems, or smart materials that monitor a wide variety of materials’ properties aiming to create smart structures and smart materials, using Embedded Sensors (ESs), and enabling continuous and permanent measurements of their structural integrity. The integration of ESs is limited to the processing technology used to embed the sensor due to its high-temperature sensitivity and the possibility of damage during its insertion into the structure. In addition, the techno

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Juan, Carlos Olivares Rojas, Reyes Archundia Enrique, Antonio Gutiérrez Gnecchi José, Walter González Murueta Johan, Cerda Jacobo Jaime, and del Carmen Téllez Anguiano Adriana. "A Comparative Assessment of Cryptography Algorithms for Data Analytics Applications in Smart Metering Systems." Revista Jornada de Ciencia y Tecnología Aplicada 2 (April 25, 2019): 35–39. https://doi.org/10.5281/zenodo.4625950.

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With the proliferation of smart meters in smart electric networks, new applications and challenges to the energy sector are brought, mainly with respect to cybersecurity and data privacy. To protect them, a mechanism that helps protect data is necessary, with cryptography being one of the most used. This paper presents a comparison of algorithms that can be used in smart meters to safeguard the confidentiality, integrity, and availability of the data generated by smart meters and that, in turn, are efficient to process in this class of embedded devices.

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Jiang, Zi Li. "Research of Development of Embedded Systems." Applied Mechanics and Materials 539 (July 2014): 547–50. http://dx.doi.org/10.4028/www.scientific.net/amm.539.547.

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With embedded systems widely used and the continuous improvement of the user to the data processing and management needs, a variety of smart devices and database technology are tightly combined, this has got integrated attention. Embedded system is dedicated computer system that is application-centric, based on computer technology, software and hardware can be tailored to meet the stringent requirements of the application system, which strict with functionality, reliability, cost, size and power consumption. It is the product of the development of computer technology, now it has become an impo

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Gayatri, Mohanta. "Classroom Light and Fan Automation." Journal of Recent Trends in Electrical Power System 5, no. 3 (2023): 1–6. https://doi.org/10.5281/zenodo.7515286.

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<em>The Internet of things (IoT) is a network of "things" embedded with sensors, software, and other technologies to connect and exchange data over the Internet. Real-time analytics, machine learning, commodity sensors, and embedded systems have evolved. Embedded systems, wireless sensor networks, control systems, automation (home and building automation), and others enable the Internet of things. In the consumer market, IoT technology is most synonymous with "smart home" products, such as lighting fixtures, thermostats, home security systems and cameras, and other home app

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22

He, Guo Hao. "ARM-Based Embedded Visual Processing System." Applied Mechanics and Materials 220-223 (November 2012): 1973–76. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1973.

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Embedded computer vision is a relatively new concept, it is only in the past few years that embedded devices have become fast enough and the component cost low enough that they can be used in small low power systems. In this paper, the design and development of a vision-based detection system with smart devices features is proposed. The main functionality of the equipment is introduced as well as the additional features it should provide to be integrated into a smart environment.

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Mrs. Sushmita Deb, Kesar Malan C, Ankitha S, and Venkatesh D. "IoT – Enabled Smart Bridge Control with Node MCU ESP8266." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 06 (2025): 2717–22. https://doi.org/10.47392/irjaeh.2025.0403.

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The increasing demand for intelligent infrastructure has led to the development of automated systems capable of enhancing safety, efficiency, and reliability in bridge operations. This research presents the design and implementation of an Advanced Bridge Control System using embedded technology, specifically centered on the Arduino Uno microcontroller. The system integrates a range of sensors, actuators, and wireless communication modules to monitor environmental and traffic conditions and automatically control the opening and closing of a movable bridge. The project aims to reduce human inter

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24

Ahmad, Awais, M. Mazhar Rathore, Anand Paul, Won-Hwa Hong, and HyunCheol Seo. "Context-Aware Mobile Sensors for Sensing Discrete Events in Smart Environment." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7283831.

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Over the last few decades, several advancements in the field of smart environment gained importance, so the experts can analyze ideas for smart building based on embedded systems to minimize the expense and energy conservation. Therefore, propelling the concept of smart home toward smart building, several challenges of power, communication, and sensors’ connectivity can be seen. Such challenges distort the interconnectivity between different technologies, such as Bluetooth and ZigBee, making it possible to provide the continuous connectivity among different objects such as sensors, actuators,

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Ezzat, Mostafa Ahmed, Mohamed A. Abd El Ghany, Sultan Almotairi, and Mohammed A. M. Salem. "Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends." Sensors 21, no. 9 (2021): 3222. http://dx.doi.org/10.3390/s21093222.

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The automation strategy of today’s smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights. Although there have been recent reviews in this field, there is a remarkable gap that addresses four sides of the problem. Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems. In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced. Moreover, future trends and challenges are addressed.

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Alonso, Sara, Jesús Lázaro, Jaime Jiménez, Unai Bidarte, and Leire Muguira. "Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid." Energies 14, no. 11 (2021): 3322. http://dx.doi.org/10.3390/en14113322.

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Smart grid endpoints need to use two environments within a processing system (PS), one with a Linux-type operating system (OS) using the Arm Cortex-A53 cores for management tasks, and the other with a standalone execution or a real-time OS using the Arm Cortex-R5 cores. The Xen hypervisor and the OpenAMP framework allow this, but they may introduce a delay in the system, and some messages in the smart grid need a latency lower than 3 ms. In this paper, the Linux thread latencies are characterized by the Cyclictest tool. It is shown that when Xen hypervisor is used, this scenario is not suitabl

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Cheng, Tao. "Application of Embedded Systems in Automation Control." Scientific and Social Research 6, no. 7 (2024): 95–101. http://dx.doi.org/10.26689/ssr.v6i7.7595.

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Embedded systems play a crucial role in modern automation control, with wide-ranging applications across industrial automation, smart homes, transportation, and more. This paper first analyzes the current state of embedded systems in automation control both domestically and internationally, exploring their specific applications in typical fields. The paper then highlights the advantages of embedded systems in automation control, including real-time performance, efficiency, integration, reliability, flexibility, and scalability. Finally, the design and implementation processes of embedded syste

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Vasanthanathan, A., S. Menaga, and K. Rosemi. "A Comprehensive Review of Smart Systems through Smart Materials." Current Materials Science 12, no. 1 (2019): 77–82. http://dx.doi.org/10.2174/2212797612666190408141830.

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Background:The vital role of smart materials in the field of aircraft, spacecraft, defence, electronics, electrical, medical and healthcare industries involve sensing and actuating for monitoring and controlling applications. The class of smart materials are also named as active materials or intelligent materials or adaptive materials. These materials act intelligently based upon the environmental conditions. Structures incorporated with smart materials are named as smart structures.Methods:The principal objective of the present paper is to explore a comprehensive review of various smart mater

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Siriteanu, Constantin, StevenD Blostein, and James Millar. "FPGA-Based Communications Receivers for Smart Antenna Array Embedded Systems." EURASIP Journal on Embedded Systems 2006, no. 1 (2006): 081309. http://dx.doi.org/10.1186/1687-3963-2006-081309.

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Siriteanu, Constantin, Steven D. Blostein, and James Millar. "FPGA-Based Communications Receivers for Smart Antenna Array Embedded Systems." EURASIP Journal on Embedded Systems 2006 (2006): 1–13. http://dx.doi.org/10.1155/es/2006/81309.

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31

Annapareddy, Soujanya Reddy. "Design and Implementation of Smart Sensor Technologies in Embedded Systems." ESP Journal of Engineering & Technology Advancements 2, no. 3 (2022): 162–66. https://doi.org/10.56472/25832646/jeta-v2i3p122.

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32

Luo, Junzhe. "The Application and Development Trends of Embedded Temperature Sensors in Smart Homes." Applied and Computational Engineering 148, no. 1 (2025): 108–13. https://doi.org/10.54254/2755-2721/2025.23362.

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The modern living environment has been significantly improved by smart home technologies, with a key role being played by embedded temperature sensors in ensuring comfort, energy efficiency, and safety. These sensors enable smart home systems to achieve real-time temperature monitoring and automatic control of indoor climate. Furthermore, temperature sensors are also crucial for optimizing HVAC (Heating, Ventilation, and Air Conditioning) systems, energy management, and security monitoring functions. However, challenges such as sensor accuracy, power consumption, and data security still exist.

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Muhammad, Alam, Moroni Davide, Pieri Gabriele, et al. "Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities." Journal of Advanced Transportation 2018 (October 21, 2018): Article ID 1485652, 13 pages. https://doi.org/10.1155/2018/1485652.

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Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new

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Martin, Jon, David Cantero, Maite González, et al. "Embedded Vision Intelligence for the Safety of Smart Cities." Journal of Imaging 8, no. 12 (2022): 326. http://dx.doi.org/10.3390/jimaging8120326.

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Advances in Artificial intelligence (AI) and embedded systems have resulted on a recent increase in use of image processing applications for smart cities’ safety. This enables a cost-adequate scale of automated video surveillance, increasing the data available and releasing human intervention. At the same time, although deep learning is a very intensive task in terms of computing resources, hardware and software improvements have emerged, allowing embedded systems to implement sophisticated machine learning algorithms at the edge. Additionally, new lightweight open-source middleware for constr

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Malele, Vusumuzi, Sello Prince Sekwatlakwatla, and Tibo Kiefer. "Bibliometric Analysis of Ethics in Embedded and Mobile Systems." International Conference on Intelligent and Innovative Computing Applications 2024 (November 30, 2024): 92–97. https://doi.org/10.59200/iconic.2024.011.

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When it comes to commonplace gadgets like cell phones, automobiles, household appliances and medical equipment, embedded systems ethics place a higher priority on privacy, security, dependability and possible abuse. The desire for convenience in family life has risen because of its comfort, control and safety. Smart houses alter interior areas with computers and artificial intelligence (AI), while embedded technologies provide minimal power consumption and many functionalities. As a result of social and technical improvements, smart homes and embedded systems are becoming more and more popular

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36

Bayasgalan, Zagdkhorol, and Bat-Erdene Byambasuren. "Advances in Smart technologies and Applications." Embedded Selforganising Systems 9, no. 1 (2022): 2–3. http://dx.doi.org/10.14464/ess.v9i1.510.

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This editorial introduces the issue of 2022 for Embedded Selforganising Systems (ESS) journal. This issue focuses on a discussion about Advances in Smart technologies and Applications in different areas of engineering solutions.

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Ferrández-Pastor, Francisco Javier, Juan Manuel García-Chamizo, Sergio Gomez-Trillo, Rafael Valdivieso-Sarabia, and Mario Nieto-Hidalgo. "Smart Management Consumption in Renewable Energy Fed Ecosystems." Sensors 19, no. 13 (2019): 2967. http://dx.doi.org/10.3390/s19132967.

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Advances in embedded electronic systems, the development of new communication protocols, and the application of artificial intelligence paradigms have enabled the improvement of current automation systems of energy management. Embedded devices integrate different sensors with connectivity, computing resources, and reduced cost. Communication and cloud services increase their performance; however, there are limitations in the implementation of these technologies. If the cloud is used as the main source of services and resources, overload problems will occur. There are no models that facilitate

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P.V. Hari Krishna Babu, L. Yasodha, D. Jagadeesh, M. Devi, N. Anusha, and P. Riya. "Design Smart Helmet System with GSM for Safety Monitoring Systems." International Journal of Scientific Research in Science and Technology 12, no. 2 (2025): 891–96. https://doi.org/10.32628/ijsrst251222631.

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The increasing frequency of motorcycle accidents globally calls for innovative safety measures, with smart helmets emerging as a vital advancement. This paper presents the design and implementation of a smart helmet system integrating multiple sensors and communication technologies to monitor rider safety in real time. The system employs dual Arduino Uno microcontrollers—one embedded in the helmet and the other on the motorcycle—communicating via a 433 MHz RF link. An alcohol sensor embedded in the helmet restricts motorcycle operation under intoxicated conditions, while an MPU6050 acceleromet

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Manousakis, Nikolaos M., and George N. Korres. "Application of State Estimation in Distribution Systems with Embedded Microgrids." Energies 14, no. 23 (2021): 7933. http://dx.doi.org/10.3390/en14237933.

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In this paper, a weighted least square (WLS) state estimation algorithm with equality constraints is proposed for smart distribution networks embedded with microgrids. Since only a limited number of real-time measurements are available at the primary or secondary substations and distributed generation sites, load estimates at unmeasured buses remote from the substations are needed to execute state estimation. The load information can be obtained by forecasted and historical data or smart real-time meters. The proposed algorithms can be applied in either grid-connected or islanded operation mod

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Fan, Yang-Hsin, Jan-Ou Wu, and San-Fu Wang. "Energy Efficiency of Task Allocation for Embedded JPEG Systems." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/718348.

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Embedded system works everywhere for repeatedly performing a few particular functionalities. Well-known products include consumer electronics, smart home applications, and telematics device, and so forth. Recently, developing methodology of embedded systems is applied to conduct the design of cloud embedded system resulting in the applications of embedded system being more diverse. However, the more energy consumes result from the more embedded system works. This study presents hyperrectangle technology (HT) to embedded system for obtaining energy saving. The HT adopts drift effect to construc

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Saddow, Stephen E., Daniel Alquier, Jing Wang, Francesco LaVia, and Mariana Fraga. "Editorial for the Special Issue on SiC Based Miniaturized Devices." Micromachines 11, no. 4 (2020): 405. http://dx.doi.org/10.3390/mi11040405.

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Ginoth, R., and Navin Prasad. "Implementation of Smart Grid Using Lab View." International Journal of Students' Research in Technology & Management 3, no. 7 (2015): 428. http://dx.doi.org/10.18510/ijsrtm.2015.376.

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Like the Personal Computer and smart phone, most disruptive ideas combine existing elements in a way that provides a dramatically better solution. The same phenomenon is true for the smart grid. Embedded reconfigurable instrumentation and control systems powered by National Instruments (NI) Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software are merging with cloud-based networking, analytics, and other cutting-edge information technologies.The proliferation of smart networked embedded systems, widely distributed throughout the grid, will revolutionize the way electricity is

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Benyeogor, Mbadiwe S., Andrew O. Benyeogor, Kabiru A. Olaiya, and Prosper Agumey. "Advancing Embedded Systems Education: A Pedagogical Programming Framework for Smart System and Control Applications." SPC Journal of Education 5, no. 1 (2024): 1–22. https://doi.org/10.14419/bd56p317.

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This article introduces a pedagogical framework incorporating a curriculum and conceptual examples, specifically tailored to the need of embedded systems technology instructors The curriculum covers crucial subjects such as hardware and software fundamentals, programming languages, sensors integration, motion control, and their practical applications. It emphasizes hands-on training, project-based learning, and problem-solving to foster a holistic understanding of embedded systems. The curriculum is designed to cater to embedded systems training centers globally, addressing the growing demand

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Krishnaveni, Kommuri, and Ratnam Kolluru Venkata. "Implementation of modular MPPT algorithm for energyharvesting embedded and IoT applications." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 3660–70. https://doi.org/10.11591/ijece.v11i5.pp3660-3670.

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The establishment of the latest IoT systems available today such as smart cities, smart buildings, and smart homes and wireless sensor networks (WSNs) are let the main design restriction on the inadequate supply of battery power. Hence proposing a solar-based photovoltaic (PV) system which is designed DC-DC buck-boost converter with an improved modular maximum power point tracking (MPPT) algorithm. The output voltage depends on the inductor, capacitor values, metal oxide semiconductor field effect transistor (MOSFET) switching frequency, and duty cycle. This paper focuses on the design and sim

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Praus, Friedrich, Wolfgang Kastner, and Peter Palensky. "Secure Control Applications in Smart Homes and Buildings." JUCS - Journal of Universal Computer Science 22, no. (9) (2016): 1249–73. https://doi.org/10.3217/jucs-022-09-1249.

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With today's ongoing integration of heterogeneous building automation systems, increased comfort, energy efficiency, improved building management, sustainability as well as advanced applications such as active & assisted living scenarios become possible. These smart homes and buildings are implemented as decentralized systems, where embedded devices are connected via networks to exchange their data. Obviously, the demands - especially regarding security - increase: Secure communication becomes equally important as secure software being executed on the embedded devices. While the former has

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Madsen, Anne K., and Darshika G. Perera. "Composing Optimized Embedded Software Architectures for Physics-Based EKF-MPC Smart Sensor for Li-Ion Battery Cell Management." Sensors 22, no. 17 (2022): 6438. http://dx.doi.org/10.3390/s22176438.

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Efficient battery technology is imperative for the adoption of clean energy automotive solutions. In addition, efficient battery technology extends the useful life of the battery as well as provides improved performance to fossil fuel technology. Model predictive control (MPC) is an effective way to operate battery management systems (BMS) at their maximum capability, while maintaining the safety requirements. Using the physics-based model (PBM) of the battery allows the control system to operate on the chemical and physical process of the battery. Since these processes are internal to the bat

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Conrad, Christopher, Saba Al-Rubaye, and Antonios Tsourdos. "Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems." Electronics 12, no. 13 (2023): 2908. http://dx.doi.org/10.3390/electronics12132908.

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Intelligent vehicular cyber-physical systems (ICPSs) increase the reliability, efficiency and adaptability of urban mobility systems. Notably, ICPSs enable autonomous transportation in smart cities, exemplified by the emerging fields of self-driving cars and advanced air mobility. Nonetheless, the deployment of ICPSs raises legitimate concerns surrounding safety assurance, cybersecurity threats, communication reliability, and data management. Addressing these issues often necessitates specialised platforms to cater to the heterogeneity and complexity of ICPSs. To address this challenge, this p

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Rao, G. Madhusudhana. "Smart Poultry Monitoring and Management System Using Embedded Systems and IOT." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47278.

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1.Abstract - This This paper presents a Smart Poultry Monitoring and Management System based on embedded systems and IoT technologies, designed to enhance safety and automation in poultry farming environments. The system employs the ESP32 micro controller to interface with a suite of environmental sensors, including gas, fire, water level, infrared, and temperature-humidity sensors. These sensors continuously monitor critical conditions and enable automatic responses such as activating fans, pumps, and alarms during hazardous events. Real-time feedback is provided via an LCD display and audibl

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Yin, Hang. "Wireless Systems in Smart Home Evolution and Integration." Highlights in Science, Engineering and Technology 111 (August 19, 2024): 585–89. http://dx.doi.org/10.54097/14fgga79.

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As smart home technology becomes increasingly embedded in modern living, wireless systems have emerged as a cornerstone, significantly enhancing the convenience, intelligence, and user experience of home automation. This article reviews the evolution of wireless technologies within the smart home landscape, establishing the research context and delineating its significance. It explores the concept and components of smart homes, followed by a detailed examination of the operational mechanisms and unique features of three prevalent wireless systems: Bluetooth-based, WiFi-based, and cloud-based s

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Bas, Joan, Taposhree Dutta, Ignacio Llamas Garro, Jesús Salvador Velázquez-González, Rakesh Dubey, and Satyendra K. Mishra. "Embedded Sensors with 3D Printing Technology: Review." Sensors 24, no. 6 (2024): 1955. http://dx.doi.org/10.3390/s24061955.

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Embedded sensors (ESs) are used in smart materials to enable continuous and permanent measurements of their structural integrity, while sensing technology involves developing sensors, sensory systems, or smart materials that monitor a wide range of properties of materials. Incorporating 3D-printed sensors into hosting structures has grown in popularity because of improved assembly processes, reduced system complexity, and lower fabrication costs. 3D-printed sensors can be embedded into structures and attached to surfaces through two methods: attaching to surfaces or embedding in 3D-printed sen

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