Relevant bibliographies by topics / Internet of things based smart systems

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Academic literature on the topic 'Internet of things based smart systems'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Internet of things based smart systems"

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Reddy, Midde Ranjit, K. G. Srinivasa, and B. Eswara Reddy. "Smart Vehicular System based on the Internet of Things." Journal of Organizational and End User Computing 30, no. 3 (2018): 45–62. http://dx.doi.org/10.4018/joeuc.2018070103.

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With the advent of smart city and its implications, different components of the smart city such as traffic, pollution monitoring, infotainment and others need to be considered as well for enabling the complete smartness. One of the major components of the smart city is regulation of traffic and its standards for smooth vehicular movement and it depends on the road conditions and environment. Road conditions provide valuable information for developing assistive systems for the vehicles and to be provided and trained with different road conditions for better accuracy and finally enabling the smartness around the system. With the increasing vehicular population around the globe and in developing countries like India, assistive systems based on Internet of Things (IoT) play a major role in developing smart systems for the vehicles. Once the population of the vehicles increases, assistive systems need a smart mechanism for parking as well. The proposed Internet of things (IoT) based system provides the user with different conditions of the road and a smart parking solution.
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Javlon, Tursunov, and Dilnoza Sulaymonova. "A SURVEY OF SMART SYSTEMS BASED ON INTERNET OF THINGS." Innovative Development in Educational Activities 2, no. 5 (2023): 236–47. https://doi.org/10.5281/zenodo.7742826.

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<em>The IoT mainly involves a group of devices and networks which get connected via Internet, meaning that there is a requirement to sense the environment and act according to it. A new environment can be created using new techniques which, in turn, improves the lives of the people. Making use of IoT, devices communicate with each other virtually or physically, making the environment smarter and facilitating the connection of devices whenever necessary. These days, the current generation is quite adept at communicating and controlling their devices more than ever before via the Internet which necessitates the IoT to collect and make data analysis based on the data coming from different devices as well as sensors which can be transmitted by a wireless connection. Over the years, applications of IoT have evolved dramatically, playing a crucial role to enhancement of the living standard which may involve becoming environmentally friendly. IoT has capabilities to facilitate services that are in demand in today&rsquo;s fast-pacing world. What this work carries out is a survey on the IoT used in intelligent system applications as well as usage of IoT with high efficiency.</em>
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Armya, Revella E. A., Lozan M. Abdulrahman, Nasiba M. Abdulkareem, and Azar Abid Salih. "Web-based Efficiency of Distributed Systems and IoT on Functionality of Smart City Applications." Journal of Smart Internet of Things 2023, no. 2 (2023): 142–61. http://dx.doi.org/10.2478/jsiot-2023-0017.

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Abstract In the current technological environment, the Internet of Things (IoT) has arisen as a significant subject of research because of its importance. A robust cloud computing framework is established via the collaboration of sensors and actuators. This framework has the potential to be used in the creation of autonomous object networks in real-time systems. The Internet of Things (IoT) is playing a significant role in the redefinition of other significant ideas, such as urbanism and smart cities. The Internet of Things (IoT) technology has the potential to improve the quality of life for inhabitants of smart cities, which are relatively new developments. This might be accomplished by providing people with enhanced facilities and services. The Internet of Things is seeing a fast expansion in a variety of sectors, including smart cities, everyday life, and other fields. Through the use of home automation, smart wearables, security solutions, and smart healthcare, the Internet of Things makes it possible to create intelligent environments. In the realm of the Internet of Things, some of the possible topics of study include intelligent transportation systems for cities and intelligent electrical systems. This article offers a succinct summary of the most recent advancements in the Internet of Things (IoT) and the influence those advancements have had on the lives of humans in their day-to-day activities. In addition to this, the Internet of Things (IoT) is also considered in connection to artificial intelligence, autonomous control, and cloud computing. It is important to synchronise a number of technologies, such as wireless sensors, actuators, the internet, and distributed computing, in order to successfully allow upcoming Internet of Things technologies.
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Vimlesh, Singh, Kaur Amrinder, Dheeraj Kumar Merugu, and Srinivas Reddy Kaluva. "Smart home systems based on the internet of things." i-manager's Journal on Mobile Applications and Technologies 9, no. 1 (2022): 13. http://dx.doi.org/10.26634/jmt.9.1.18901.

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Smart home systems have gained a lot of popularity in recent decades as it increases the comfort and quality of life. The most amazing home systems are due to mobile phones and microcontrollers. Mobile control-based apps have screen limitations but are easy to manage. An insightful look at the smart home, broken down into different applications based on the Internet of Things (IoT). This IoT framework establishes a set of sensors, actuators, a system manager, platforms, and associated control devices. This paper discusses the four-layer IoT architecture, IoT paradigms, issues, and challenges.
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Handy Permana, Silvester Dian, Ketut Bayu Yogha Bintoro, Ahmad Rifqi Fauzi, and Erneza Dewi Krishnasari. "SMART WATERING SYSTEM BASED ON INTERNET OF THINGS FOR URBAN PLANTING." Engineering and Technology Journal 08, no. 01 (2023): 1802–6. http://dx.doi.org/10.47191/etj/v8i1.03.

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People in the city of Jakarta are busy people. Many Jakarta residents do not have time to look after plants. In fact, as a resident of the city of Jakarta, plant maintenance is very good for exchanging contaminated air into clean air. Plants must be watered every day to be able to photosynthesize. However, the busyness of the citizens of the city of Jakarta makes the residents do not have time to water their plants. Therefore, in this proposed study, a system that can water plants will be created automatically. The system consists of microcontroller as a control device, mobile-web app as the application which used by user and RabbitMQ as a server that control request from user. Microcontroller connected to internet use Wifi network and connected to RabbitMQ through MQTT protocol. Microcontroller as a control device connected with water pump through relay. When the given time has arrived, the water will automatically flow a few mili litters according to the needs of the tree from a bucket filled with water. The results of this research are expected to help urban communities in Jakarta to care for and maintain plants in the midst of their busy life
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Eze, Kelechi G., Cajetan M. Akujuobi, Shermar Hunter, Shumon ,. Alam, Sarhan Musa, and Justin Foreman. "A Blockchain-based Security Architecture for the Internet of Things." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (March 23, 2022): 12–22. http://dx.doi.org/10.37394/23209.2022.19.2.

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The Internet of Things (IoT) is growing at a very fast pace and being increasingly adopted in many scenarios of industrial applications such as energy (smart grid), automobile (smart cars), healthcare (smart healthcare), manufacturing (smart manufacturing and supply chain) and other application such as homes (smart home) and cities (smart city). Nonetheless, these IoT technologies (devices, systems, protocols, and applications) are faced with many security-related issues. IoT Systems have different layers that are vulnerable to various kinds of attacks. To defend against these attacks, one must consider appropriate security approaches and mechanisms to ensure privacy, security, and trust within the various components and layers that make up the IoT system. Appropriate security mechanism is needed at every layer of an IoT system to keep them secure. Hence, finding suitable mechanism for each IoT layer is a necessity to keep IoT systems secure in the 21st-century applications and implementations. The paper first investigates the IoT layers and protocols, their vulnerability issues, and methods to resolve the issues from existing literatures. We then present a blockchain-based security architecture for the internet of things and practically investigated its security feature through implementation of various security mechanism. Analysis and discussion of the blockchain implementation results are carried for the purpose of meeting the security, privacy, and trust requirements of IoT.
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Liu, Jun, Lei Shu, Xu Lu, and Ye Liu. "Survey of Intelligent Agricultural IoT Based on 5G." Electronics 12, no. 10 (2023): 2336. http://dx.doi.org/10.3390/electronics12102336.

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In the future, agriculture will face the need for increasing production, sustainability, wisdom, and efficiency, which will bring significant challenges to the development of modern agriculture. With the gradual popularization of 5G, advanced information technologies such as the Internet of Things and artificial intelligence promoted the evolution of modern agriculture to intelligent agriculture. The 5G-based Internet of Things will play an essential role in the development of smart agriculture. This paper investigates the research progress of 5G Internet of Things in smart agriculture. It sorts out the development status of 5G smart agriculture Internet of Things in recent years. Following that, the concept of 5G smart agriculture Internet of Things is put forward. It expounds on the connotation, architecture, and enabling key technologies. According to the key application scenarios of smart agriculture, practical cases are presented, the development trend and application value of 5G smart agriculture Internet of Things are shown, and the future development direction is put forward. Firstly, the concept of smart agriculture is distinguished, and the category scenarios of smart agriculture are summarized. Following that, the current review research on 5G-IoT is analyzed. This paper focuses on the analysis and summary of the changes brought by 5G to various key scenarios in smart agriculture. This paper analyzes the related key technologies and challenges, puts forward some key scientific problems, and summarizes the research ideas. Finally, the development trend and application value of 5G smart agriculture Internet of Things are shown. The future development direction is also proposed.
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Pasha, Maruf, and Syed Muhammad Waqas Shah. "Framework for E-Health Systems in IoT-Based Environments." Wireless Communications and Mobile Computing 2018 (June 7, 2018): 1–11. http://dx.doi.org/10.1155/2018/6183732.

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Internet of things technology consists of physical objects that are accessible via the Internet, for example, devices, vehicles, and buildings. Internet of things technology is used to connect these physical objects by utilizing the existing infrastructure of networks. A unique identifier is assigned to identify the objects in IoT environments. Internet of things technology is used to make productive decisions on the sensed data after converting it into information. IoT technology is being used in various life disciplines, such as smart health services delivery, smart traffic management, border management, and governmental control. There is no single standard for IoT technology; thus, interoperability between IoT devices that use different protocols and standards is required. This research was carried out to provide and develop a specialized framework for an IoT-based smart health system by focusing particularly on interoperability problems. Based on different technology standards and communication protocols, the specific requirements of the IoT system were analyzed and served as a basis for the design of the framework. The protocols and standards within the framework utilize existing web technologies, communication protocols, and hardware design. This approach ensures that the specific expectations of the proposed model can be fulfilled with confidence. The experiments showed that interoperability between different IoT devices, standards, and protocols in a smart health system could be achieved using a specialized gateway device and that different web technologies could be used simultaneously in constrained and Internet environments.
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Prof. Sathish and Dr. S. Smys. "A Survey on Internet of Things (IoT) based Smart Systems." December 2020 2, no. 4 (2020): 181–89. http://dx.doi.org/10.36548/jismac.2020.4.001.

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Internet of Things (IoT) is a collection of networks, objects, devices that are connected using the Internet. It interacts with the environment both internally and externally. IoT senses the environment and acts accordingly. It gives the environment with advanced techniques and thus improves the quality of mankind. IoT allows the devices to communicate with each other either physically or virtually. With the help of IoT, the environment becomes smarter and can be connected with any device at any time. Nowadays people want to communicate with all the non-living things via the Internet. IoT is used to collect and analyze the data from various actuators and sensors then it is passed it over smartphones or computers through a wireless connection. There evolve the applications that use IoT and in each of the applications IoT plays a vital role in enhancing the living standards which includes home appliances, Smart energy, environment, and industries, etc. and makes a friendly environment. To make it more professional, IoT is used in the supply chain, transportation, logistics, automation, and remote monitoring. IoT delivers a change in the quality of individual life and it is widely distributed among the network of devices and provides a new ecosystem for the development of applications by understanding the development of the market in the early stages. IoT has the capabilities of delivering the services and demands of the people in this fast-moving world. This paper presents the survey of IoT smart systems applications and usages of the IoT environment.
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Nugraha, Nur Wisma, Gun Gun Maulana, and Suharyadi Pancono. "Smart manufacturing system based on industrial internet of things." Jurnal Polimesin 21, no. 6 (2023): 577. http://dx.doi.org/10.30811/jpl.v21i6.3957.

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The primary challenge in the manufacturing industry today is the subpar productivity and efficiency in production processes. This predicament can be attributed to the widespread utilization of suboptimal production systems and the underutilization of advanced technology in manufacturing. Furthermore, the lack of accurate production data, limited employee involvement in production processes, and the high costs associated with production and machine maintenance have emerged as significant concerns in the contemporary manufacturing landscape. In response to these challenges, the adoption of Smart Manufacturing Systems (SMS) based on the Industrial Internet of Things (IIoT) has become crucial to address these issues andenhance overall production quality and efficiency. The SMS IIoT system empowers companies to gather real-time data from various industrial devices and machines. This data is subsequently analyzed to optimize production processes, resulting in increased efficiency and productivity. With this system in place, companies can closely monitor production processes in real-time and promptly detect and address defective or non-compliant products at the onset of production. The research results show an availability value of 88%, indicating that the machine operates 88% of the scheduled time. A Performance value of 100% indicates that the engine is operating at the desired maximum speed. OEE is calculated as the product of Availability, Performance, and Quality of Rate. With a value of 88%, OEE reflects the overall level of effectiveness of the machine in the production process. This paper highlights the significance of IIoT-based Smart Manufacturing Systems in addressing the prevailing challenges encountered by the manufacturing industry.
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Dissertations / Theses on the topic "Internet of things based smart systems"

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Sundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.

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Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional efficiency of this complex system is evaluated as health. Traditional healthcare is unable to accommodate everyone's need due to the ever-increasing population and medical costs. With advancements in technology and medical research, traditional healthcare applications are shaping into smart healthcare solutions. Smart healthcare helps in continuously monitoring our body parameters, which helps in keeping people health-aware. It provides the ability for remote assistance, which helps in utilizing the available resources to maximum potential. The backbone of smart healthcare solutions is Internet of Things (IoT) which increases the computing capacity of the real-world components by using cloud-based solutions. The basic elements of these IoT based smart healthcare solutions are called "things." Things are simple sensors or actuators, which have the capacity to wirelessly connect with each other and to the internet. The research for this dissertation aims in developing architectures for these things, focusing on IoT-based smart healthcare solutions. The core for this dissertation is to contribute to the research in smart healthcare by identifying applications which can be monitored remotely. For this, application-specific thing architectures were proposed based on monitoring a specific body parameter; monitoring physical health for family and friends; and optimizing the power budget of IoT body sensor network using human body communications. The experimental results show promising scope towards improving the quality of life, through needle-less and cost-effective smart healthcare solutions.
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Khamphanchai, Warodom. "An Agent-based Platform for Demand Response Implementation in Smart Buildings." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70869.

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The efficiency, security and resiliency are very important factors for the operation of a distribution power system. Taking into account customer demand and energy resource constraints, electric utilities not only need to provide reliable services but also need to operate a power grid as efficiently as possible. The objective of this dissertation is to design, develop and deploy the Multi-Agent Systems (MAS) - together with control algorithms - that enable demand response (DR) implementation at the customer level, focusing on both residential and commercial customers. For residential applications, the main objective is to propose an approach for a smart distribution transformer management. The DR objective at a distribution transformer is to ensure that the instantaneous power demand at a distribution transformer is kept below a certain demand limit while impacts of demand restrike are minimized. The DR objectives at residential homes are to secure critical loads, mitigate occupant comfort violation, and minimize appliance run-time after a DR event. For commercial applications, the goal is to propose a MAS architecture and platform that help facilitate the implementation of a Critical Peak Pricing (CPP) program. Main objectives of the proposed DR algorithm are to minimize power demand and energy consumption during a period that a CPP event is called out, to minimize occupant comfort violation, to minimize impacts of demand restrike after a CPP event, as well as to control the device operation to avoid restrikes. Overall, this study provides an insight into the design and implementation of MAS, together with associated control algorithms for DR implementation in smart buildings. The proposed approaches can serve as alternative solutions to the current practices of electric utilities to engage end-use customers to participate in DR programs where occupancy level, tenant comfort condition and preference, as well as controllable devices and sensors are taken into account in both simulated and real-world environments. Research findings show that the proposed DR algorithms can perform effectively and efficiently during a DR event in residential homes and during the CPP event in commercial buildings.<br>Ph. D.
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GIUSTO, EDOARDO. "Sensor-based ICT Systems for Smart Societies." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2925002.

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Sigwele, Tshiamo, Yim Fun Hu, M. Ali, Jiachen Hou, M. Susanto, and H. Fitriawan. "An intelligent edge computing based semantic gateway for healthcare systems interoperability and collaboration." IEEE, 2018. http://hdl.handle.net/10454/17552.

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Yes<br>The use of Information and Communications Technology (ICTs) in healthcare has the potential of minimizing medical errors, reducing healthcare cost and improving collaboration between healthcare systems which can dramatically improve the healthcare service quality. However interoperability within different healthcare systems (clinics/hospitals/pharmacies) remains an issue of further research due to a lack of collaboration and exchange of healthcare information. To solve this problem, cross healthcare system collaboration is required. This paper proposes a conceptual semantic based healthcare collaboration framework based on Internet of Things (IoT) infrastructure that is able to offer a secure cross system information and knowledge exchange between different healthcare systems seamlessly that is readable by both machines and humans. In the proposed framework, an intelligent semantic gateway is introduced where a web application with restful Application Programming Interface (API) is used to expose the healthcare information of each system for collaboration. A case study that exposed the patient's data between two different healthcare systems was practically demonstrated where a pharmacist can access the patient's electronic prescription from the clinic.<br>British Council Institutional Links grant under the BEIS-managed Newton Fund.
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Johansson, Oscar, and Gustav Andersson. "Smart Greenhouse : A microcontroller based architecture for autonomous and remote control." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42284.

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Expensive and complex automated systems for greenhouses are frequently utilized in the horticulture industry. In parallel, smart systems for home automation has recently seen a rapid increase in popularity. This project aims to combine the climate optimization capabilities of industrial systems with the convenience of home automation systems. More specifically, this project is focused on the design and implementation of electrical and mechanical requirements of a smart greenhouse system. This involved the selection of hardware components, such as sensors, actuators and controllers. It also involved the interconnection between these components and the development of measurement and control systems to autonomously manage the greenhouse. The system is based on a WiFi-connected microcontroller. Parameters monitored include; temperature, humidity and wind-speed. Irrigation is controlled by a solenoid valve and can be scheduled to desired intervals. Ventilation and temperature optimization is done by controlling the roof-hatch with a linear actuator and control of a heater. The results demonstrate a accurate and reliable system with low power consumption. The resulting prototype can be installed in new and existing greenhouses. Functionalities can be remotely controlled and monitored by the convenience of an android application. The total cost of the components used was around 4 500 SEK. Further development could be done to enable seamless scalability with additional components and functionalities. Climate optimization by incorporation of weather forecast as a parameter could be implemented to further reduce energy consumption.<br>Dyra och komplexa automatiserade växthussystem är vanligt förekommande inom industrin för hortikultur. Parallellt har populariteten för "Smart Home" system för hemautomatisering radikalt ökat. Målet med detta projekt är att kombinera klimatoptimiseringsmöjligheterna hos industriella system med lättanvändligheten hos system för hemautomatisering. Detta projekt fokuserar specifikt på designen och implementationen av de elektriska och mekaniska krav som ställs på ett "smart greenhouse system". Detta innefattar; val av komponenter såsom sensorer, aktuatorer samt styrenhet men även sammankopplingen mellan dessa komponenter och utvecklingen av mjukvara till reglersystemet, som i sin tur syftar till automatiseringen i växthuset. Systemet är baserat på en WiFi-uppkopplad mikrokontroller. Parametrar som monitoreras är; temperatur, luftfuktighet och vindhastighet. Bevattning kontrolleras av en magnetventil och kan schemaläggas för bevattning i önskade intervall. Ventilering och temperaturoptimisering sker genom kontroll av taklucka med hjälp av ett linjärt ställdon samt kontroll av ett värmeelement. Resultatet demonstrerar ett pålitligt och punktligt system med låg energiförbrukning. Prototypen som utvecklats kan installeras i både nya och befintliga växthus. Funktionaliteterna kan smidigt fjärrkontrolleras och monitoreras från en android applikation. Den totala kostnaden för de komponenter som använts var runt 4500 kr. Vidareutveckling vad gäller skalbarhet för att sömlöst lägga till komponenter och funktionaliteter bör övervägas. För ytterligare minskad energiförbrukning med hjälp av klimatoptimering kan väderprognos adderas som en parameter.
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Zichichi, Mirko. "A Distributed Ledger based infrastructure for Intelligent Transportation Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18440/.

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Intelligent Transportation Systems (ITS) are proposed as an efficient way to improve performances in transportation systems applying information, communication, and sensor technologies to vehicles and transportation infrastructures. The great amount of vehicles produced data, indeed, can potentially lead to a revolution in ITS development, making them more powerful multifunctional systems. To this purpose, the use of Vehicular Ad-hoc Networks (VANETs) can provide comfort and security to drivers through reliable communications. Meanwhile, distributed ledgers have emerged in recent years radically evolving the way that we used to consider finance, trust in communication and even renewing the concept of data sharing and allowing to establish autonomous, secured, trusted and decentralized systems. In this work an ITS infrastructure based on the combination of different emerging Distributed Ledger Technologies (DLTs) and VANETs is proposed, resulting in a transparent, self-managed and self-regulated system, that is not fully managed by a central authority. The intended design is focused on the user ability to use any type of DLT-based application and to transact using Smart Contracts, but also on the access control and verification over user’s vehicle produced data. Users "smart" transactions are achieved thanks to the Ethereum blockchain, widely used for distributed trusted computation, whilst data sharing and data access is possible thanks to the use of IOTA, a DLT fully designed to operate in the Internet of Things landscape, and IPFS, a protocol and a network that allows to work in a distributed file system. The aim of this thesis is to create a ready-to-work infrastructure based on the hypothesis that every user in the ITS must be able to participate. To evaluate the proposal, an infrastructure implementation is used in different real world use cases, common in Smart Cities and related to the ITS, and performance measurements are carried out for DLTs used.
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Horyachyy, Oleh. "Comparison of Wireless Communication Technologies used in a Smart Home : Analysis of wireless sensor node based on Arduino in home automation scenario." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14845.

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Context. Internet of Things (IoT) is an extension of the Internet, which now includes physical objects of the real world. The main purpose of Internet of Things is to increase a quality of people’s daily life. A smart home is one of the promising areas in the Internet of Things which increases rapidly. It allows users to control their home devices anytime from any location in the world using Internet connectivity and automate their work based on the physical environment conditions and user preferences. The main issues in deploying the architecture of IoT are the security of the communication between constrained low-power devices in the home network and device performance. Battery lifetime is a key QoS parameter of a battery-powered IoT device which limits the level of security and affects the performance of the communication. These issues have been deepened with the spread of cheap and easy to use microcontrollers which are used by electronic enthusiasts to build their own home automation projects. Objectives. In this study, we investigated wireless communication technologies used in low-power and low-bandwidth home area networks to determine which of them are most suitable for smart home applications. We also investigated the correlation between security, power consumption of constrained IoT device, and performance of wireless communication based on a model of a home automation system with a sensor node. Sensor node was implemented using Arduino Nano microcontroller and RF 433 MHz wireless communication module. Methods. To achieve the stated objectives of this research following methods were chosen: literature review to define common applications and communication technologies used in a smart home scenario and their requirements, comparison of wireless communication technologies in smart home, study of Arduino microcontroller technology, design and simulation of a part of  home automation project based on Arduino, experimental measurements  of execution time and power consumption of Arduino microcontroller with RF 433 MHz wireless module when transmitting data with different levels of security, and analysis of experimental results. Results. In this research, we presented a detailed comparison of ZigBee, WiFi, Bluetooth, Z-Wave, and ANT communication technologies used in a smart home in terms of the main characteristics. Furthermore, we considered performance, power consumption, and security. A model of a home automation system with a sensor node based on Arduino Nano was described with sleep management and performance evaluation. The results show that the battery lifetime of Arduino in a battery-powered sensor node scenario is determined by the communication speed, sleep management, and affected by encryption. Conclusions. The advanced communication strategy can be used to minimize the power consumption of the device and increase the efficiency of the communication. In that case, our security measures will reduce the productivity and lifetime of the sensor node not significantly. It’s also possible to use symmetric encryption with smaller block size.
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Raffa, Viviana. "Edge/cloud virtualization techniques and resources allocation algorithms for IoT-based smart energy applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22864/.

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Nowadays, the installation of residential battery energy storage (BES) has increased as a consequence of the decrease in the cost of batteries. The coupling of small-scale energy generation (residential PV) and residential BES promotes the integration of microgrids (MG), i.e., clusters of local energy sources, energy storages, and customers which are represented as a single controllable entity. The operations between multiple grid-connected MGs and the distribution network can be coordinated by controlling the power exchange; however, in order to achieve this level of coordination, a control and communication MG interface should be developed as an add-on DMS (Distribution Management System) functionality to integrate the MG energy scheduling with the network optimal power flow. This thesis proposes an edge-cloud architecture that is able to integrate the microgrid energy scheduling method with the grid constrained power flow, as well as providing tools for controlling and monitoring edge devices. As a specific case study, we consider the problem of determining the energy scheduling (amount extracted/stored from/in batteries) for each prosumer in a microgrid with a certain global objective (e.g. to make a few energy exchanges as possible with the main grid). The results show that, in order to have better optimization of the BES scheduling, it is necessary to evaluate the composition of a microgrid in such a way as to have balanced deficits and surpluses, which can be performed with Machine Learning (ML) techniques based on past production and consumption data for each prosumer.
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Söderberg, Karl Jakob Emanuel. "INTERNET OF THINGS : Smart välfärdsteknologi." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15793.

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Internet of Things är en utveckling som inte endast sträcker sig till de industriella områdena idag. Det når nu mera även ut till välfärdsteknologin. Både användare och företag påverkas idag av detta faktum. Företag har ett behov, och en plikt att värna om sina kunder, och kunder har ett behov av att göra sin röst hörd. Detta arbete har som syfte att utforska acceptansen hos de äldre till denna smarta välfärdsteknologi, samt vad som krävs för att öka acceptansen. Arbetet tillnärmar sig frågan genom litteratur som bas för enkäter och intervjuer, utförda i Sverige och Norge.Det visar sig att acceptansen beror på många olika faktorer, som alla uppfattas olika från person till person. Men att det i många fall kan koka ned till behovet. De flesta människorna vill helst bo hemma så länge som möjligt, i alla fall i Sverige och Norge. Men innan det har gått så långt så kan det vara oklart hur öppna folk är till teknologi som har möjlighet till att uppfattas som integritetskränkande. Nyckeln ligger i att göra teknologin så anpassningsbar som möjligt, vad gäller både funktion och utseende, samt andra faktorer som säkerhet, förståelse, användbarhet och kostnad.
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Shaikh, Yasir Saleem. "Privacy preserving internet of things recommender systems for smart cities." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAS001.

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Au cours de la dernière décennie, la technologie Internet des objets (IoT) a révolutionné presque tous les domaines de la vie quotidienne et a dynamisé les villes intelligentes. Les villes intelligentes utilisent la technologie IoT pour collecter divers types de données de capteurs, puis les utilisent pour offrir diverses applications. Comme les applications des villes intelligentes sont utilisées par les citoyens, donc leur fournir des services de recommandation personnalisés en fonction de leurs préférences, de leurs localisations et de leurs profils ainsi que l'exploitation des données IoT (par exemple, la congestion du trafic et l'occupation du parking) est d'une grande importance qui pourrait être fournie par un recommandateur IoT. Cependant, comme le recommandateur IoT utilise les données privées des citoyens (profils, préférences et habitudes, par exemple), il viole la vie privée des utilisateurs car il pourrait suivre les routines et les habitudes des utilisateurs en analysant la base de données historique ou en analysant les services de recommandation réguliers qu'il offre. Par conséquent, il est important de préserver la confidentialité des utilisateurs du programme de recommandation IoT. Dans cette thèse, nous proposons un nouveau système de recommandation IoT préservant la confidentialité pour les villes intelligentes, qui fournit des recommandations en exploitant les données IoT des capteurs et en tenant compte de diverses métriques. Notre approche est organisée en trois parties. Tout d'abord, nous développons un système de recommandation IoT conforme au règlement européen sur la protection des données (GDPR) pour les systèmes de stationnement intelligent. Ces systèmes fournissent des recommandations sur les emplacements et les itinéraires de stationnement en exploitant les données des capteurs de stationnement et de circulation. Par conséquence, nous proposons d’abord une approche pour la cartographie des capteurs de trafic avec les coordonnées d’itinéraires afin d’analyser les conditions de trafic (par exemple le niveau de congestion) sur les routes. Ensuite, nous avons mis en place un dispositif de recommandation IoT. Le recommandateur IoT a été intégré au scénario d'utilisation du stationnement intelligent d'un projet H2020 EU-KR WISE-IoT et a été évalué par les citoyens de Santander, en Espagne, à l'aide d'un prototype. De plus, nous développons un recommendateur IoT pour le ski intelligent qui fournit des itinéraires de ski comprenant des types de pistes spécifiques, ainsi que la piste la plus proche. Pour les itinéraires de ski, il n’existe aucun moteur de calcul stable. Par conséquent, un nouveau moteur de routage pour les itinéraires de ski a été développé. Ce travail a également été intégré dans le cas d'utilisation du ski intelligent du projet WISE-IoT. Deuxièmement, bien que le recommandateur IoT développé pour le stationnement intelligent soit conforme au GDPR, il ne protège toutefois pas totalement la vie privée des utilisateurs. En effet, le partage sans discernement des données des utilisateurs avec un système tiers de recommandation de stationnement IoT non approuvé ou semi-fiable provoque une violation de la vie privée. En effet, le comportement et les schémas de mobilité des utilisateurs pouvant être déduits en analysant l'historique de leurs déplacements. Par conséquent, nous préservons la confidentialité des utilisateurs contre le système de recommandation de stationnement tout en analysant leur historique de stationnement en utilisant des techniques de k-anonymat et de confidentialité différentielle. Enfin, étant donné que les applications de villes intelligentes sont développées de manière verticale et ne se parlent pas. Par conséquent, nous avons proposé deux cadres pour les services de recommandation parmi les applications de villes intelligentes utilisant l'IdO social<br>During the past decade, the Internet of Things (IoT) technology has revolutionized almost all the fields of daily life and has boosted smart cities. Smart cities use IoT technology to collect various types of sensors’ data and then use such data to offer a variety of applications. Since the smart cities’ applications are used by the citizens, therefore providing the customized recommendation services to the citizens based on their preferences, locations and profiles, as well as by exploiting the IoT data (e.g., traffic congestion and parking occupancy) is of great importance which could be provided by an IoT recommender. However, since the IoT recommender utilizes the private data of citizens (e.g., profiles, preferences and habits), it breaches the privacy of the users because the IoT recommender could track the routines and habits of the users by analyzing the historical database or by analyzing the regular recommendation services it offers. Therefore, it is important to preserve the privacy of the users from the IoT recommender. In this thesis, we propose a novel privacy preserving IoT recommender system for smart cities that provides recommendations by exploiting the IoT data of sensors and by considering various metrics. Our approach is organized in three parts. Firstly, we develop an EU General Data Protection Regulation (GDPR)-compliant IoT recommender system for smart parking system that provides recommendations of parking spots and routes by exploiting the data of parking and traffic sensors. For this, we first propose an approach for the mapping of traffic sensors with route coordinates in order to analyze the traffic conditions (e.g., the level of congestion) on the roadways and then developed an IoT recommender. The IoT recommender has been integrated into the smart parking use case of an H2020 EU-KR WISE-IoT project and has been evaluated by the citizens of Santander, Spain through a prototype. Additionally, we develop an IoT recommender for smart skiing that provides skiing routes comprised of specific types of slopes, as well as the nearest slope. For skiing routes, there does not exist any stable routing engine. Therefore, a novel routing engine for skiing routes was developed. This work has also been integrated into the smart skiing use case of WISE-IoT project. Secondly, although the developed IoT recommender for smart parking is GDPR-compliant, however, it does not fully protect the privacy of users. Because, an indiscriminately sharing of users’ data with untrusted third-party IoT parking recommender system causes a breach of privacy, as user’s behavior and mobility patterns can be inferred by analyzing the past travelling history of users. Therefore, we preserve privacy of users against parking recommender system while analyzing their past parking history using k-anonymity and differential privacy techniques. Lastly, since the smart cities applications are developed in a vertical manner and do not talk/communicate with each other, i.e., each application is developed for a certain scenario which generally does not share data with other smart cities applications. Therefore, we proposed two frameworks for the recommendation services across smart cities applications using social IoT. Firstly, on how social IoT can be used for the recommendation services across smart cities applications, and secondly, we propose another type of communication of social IoT at a global level, i.e., social cross-domain application-to-application communications, that enables smart cities applications to communicate with each other and establish social relationships between them
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Books on the topic "Internet of things based smart systems"

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Biswas, Suparna, Chandreyee Chowdhury, Biswaranjan Acharya, and Chuan-Ming Liu, eds. Internet of Things Based Smart Healthcare. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1408-9.

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Fortino, Giancarlo, and Paolo Trunfio, eds. Internet of Things Based on Smart Objects. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00491-4.

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Pal, Souvik, Debashis De, and Rajkumar Buyya, eds. Artificial Intelligence-based Internet of Things Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87059-1.

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Srivastava, Durgesh, Neha Sharma, Deepak Sinwar, Jabar H. Yousif, and Hari Prabhat Gupta. Intelligent Internet of Things for Smart Healthcare Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003326182.

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Salam, Abdul. Internet of Things in Smart Sewer and Drainage Systems. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48109-3.

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Shekokar, Narendra, Subhash K. Shinde, Smita Sanjay Ambarkar, Antonis Michalas, Monika Mangla, and Achamma Thomas. Challenges and Solutions in Internet of Things-Based Smart Applications. Chapman and Hall/CRC, 2024. https://doi.org/10.1201/9781003436911.

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Koucheryavy, Yevgeni, Sergey Balandin, and Sergey Andreev, eds. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97777-1.

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Galinina, Olga, Sergey Andreev, Sergey Balandin, and Yevgeni Koucheryavy, eds. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01168-0.

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Balandin, Sergey, Sergey Andreev, and Yevgeni Koucheryavy, eds. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23126-6.

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Galinina, Olga, Sergey Andreev, Sergey Balandin, and Yevgeni Koucheryavy, eds. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30859-9.

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Book chapters on the topic "Internet of things based smart systems"

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Shailesh and Garima Srivastava. "Smart Antennas in IoT-Based Systems." In Internet of Things. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003304609-14.

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Ravi Chandra, B., Krishan Kumar, Ajay Roy, and I. Sharath Chandra. "Overview of Internet of Things-Based Smart Logistics Systems." In Internet of Things. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0052-3_12.

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Ranjit, P. S., B. Vidheya Raju, G. S. Mahesh, and M. Sreenivasa Reddy. "IoT-Based Smart Irrigation Systems for Smart Agriculture." In Internet of Things for Agriculture 4.0. Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003161097-3.

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Awotunde, Joseph Bamidele, Rasheed Gbenga Jimoh, Roseline Oluwaseun Ogundokun, Sanjay Misra, and Oluwakemi Christiana Abikoye. "Big Data Analytics of IoT-Based Cloud System Framework: Smart Healthcare Monitoring Systems." In Internet of Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-80821-1_9.

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Badidi, Elarbi, and Essaid Sabir. "Blockchain for Secure Data Sharing in Fog-Based Smart City Systems." In Internet of Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08254-2_5.

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Kouah, Sofia, Abdelghani Ababsa, and Ilham Kitouni. "Internet of Things Based Smart Healthcare System." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44097-7_29.

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Gupta, Shashwat, Pradeep Kumar, Shikha Singh, Garima Srivastava, and Bramah Hazela. "Advancements in IoT-Based Smart Environmental Systems." In Heterogenous Computational Intelligence in Internet of Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003363606-16.

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Bera, Somnath, Tanushree Dey, Shreya Ghosh, and Anwesha Mukherjee. "Internet of Things and Dew Computing-Based System for Smart Agriculture." In Internet of Things. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4590-0_14.

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Kaur, Pawandeep, and Krishan Arora. "Internet of Things-Based Economical Smart Home Automation System." In Industrial Internet of Things. CRC Press, 2022. http://dx.doi.org/10.1201/9781003102267-7.

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Upendran, Shantha Visalakshi. "IoT-Based Healthcare System." In Intelligent Internet of Things for Smart Healthcare Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003326182-4.

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Conference papers on the topic "Internet of things based smart systems"

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B J, Sai Rashmi, Sanjana Alladwar, Sanjana Sulibhavi, Shree Lakshmi P, and Priyashree S. "Internet of Things Based Smart Plant Monitoring System." In International Conference on Intelligent and Sustainable Power and Energy Systems. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013598700004639.

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GOWTHAM, R., R. CHANDRASEKARAN, HARENDHARAN B, and SAI AMRUTHA INAKOLLU. "Internet of Things (IOT) based Smart Nebulizer System." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689994.

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Oliveira, Luiz F. P., Jéssica M. Mello, Luís F. C. Duarte, and Flàvio J. O. Morais. "Energy Harvesting System based on a Hydro Electric Generator for Smart Irrigation Systems." In 2024 Symposium on Internet of Things (SIoT). IEEE, 2024. https://doi.org/10.1109/siot63830.2024.10780698.

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Kalaivani, L., R. Anitha, B. Nancy Freeda, V. Varsha, and A. Harini. "Smart Sensors and Internet of Things (IoT) based Bike Parking System." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984565.

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Ahmed, Mohammad Faisal, Nowshad Hasan, Mohammad Woli Ullah, et al. "Internet of Things Based Health Monitoring System Using Smart Glove." In 2024 IEEE 3rd International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE, 2024. https://doi.org/10.1109/raaicon64172.2024.10928501.

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Zhao, Jiaqi, Lin Sun, and Haifeng Fan. "MQTT-Based Internet of Things Smart Home Linkage Control System." In 2024 3rd International Conference on Electronics and Information Technology (EIT). IEEE, 2024. https://doi.org/10.1109/eit63098.2024.10762564.

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Ma, Zhenduo, Jing Yu, and Xianmin mo. "Interactive smart home integrated control and application smart home system based on Zigbee design." In 4th International Conference on Internet of Things and Smart City, edited by Xinwei Yao and Francisco Falcone. SPIE, 2024. http://dx.doi.org/10.1117/12.3034879.

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Habib, Ayesha, Hafsa Anam, Warda Anwaar, Hareem Afaq, Yasar Amin, and Hannu Tenhunen. "Internet-of-things based smart tracking." In 2017 International Conference on Communication, Computing and Digital Systems (C-CODE). IEEE, 2017. http://dx.doi.org/10.1109/c-code.2017.7918899.

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Smaoui, Mariem, and Lotfi Krichen. "Smart home based on Internet of Things." In 2023 IEEE 11th International Conference on Systems and Control (ICSC). IEEE, 2023. http://dx.doi.org/10.1109/icsc58660.2023.10449791.

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Williams, Vasanth, Sebastian Terence J., and Jude Immaculate. "Survey on Internet of Things based Smart Home." In 2019 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2019. http://dx.doi.org/10.1109/iss1.2019.8908112.

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Reports on the topic "Internet of things based smart systems"

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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning System (GPS) data. The research was conducted as a case study of the Streamline Bus System in Bozeman, Montana. To evaluate the reliability of the data collected with the Raspberry Pi computers, the study conducted technology-based estimation of ridership, OD flows, wait time, and travel time for a comparison with ground truth data (passenger surveys, manual data counts, and bus travel times). This study introduced the use of a wireless Wi-Fi scanning device for transit data collection, called a Smart Station. It combines an innovative set of hardware and software to create a non-intrusive and passive data collection mechanism. Through the field testing and comparison evaluation with ground truth data, the Smart Station produced accurate estimates of ridership, origin-destination characteristics, wait times, and travel times. Ridership data has traditionally been collected through a combination of manual surveys and Automatic Passenger Counter (APC) systems, which can be time-consuming and expensive, with limited capabilities to produce real-time data. The Smart Station shows promise as an accurate and cost-effective alternative. The advantages of using Smart Station over traditional data collection methods include the following: (1) Wireless, automated data collection and retrieval, (2) Real-time observation of passenger behavior, (3) Negligible maintenance after programming and installing the hardware, (4) Low costs of hardware, software, and installation, and (5) Simple and short programming and installation time. If further validated through additional research and development, the device could help transit systems facilitate data collection for route optimization, trip planning tools, and traveler information systems.
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Phillips, Paul. The Application of Satellite-based Internet of Things for New Mobility. SAE International, 2024. http://dx.doi.org/10.4271/epr2024001.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;With the increased use of devices requiring the Internet of Things (IoT) to enable “New Mobility,” the demand for satellite-enabled IoT is growing steadily, owing to the extensive coverage provided by satellites (over existing ground-based infrastructure). Satellite-based IoT provides precise and real-time vehicle location and tracking services, large-scale geographical vehicle and/or infrastructure monitoring, and increased coverage for remote locations where it may not be possible to install ground-based solutions.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;The Application of Satellite-based Internet of Things for New Mobility&lt;/b&gt; discusses satellite-based IoT topics that still need addressing, which can be broadly classifieds into two areas: (1) affordable technology and (2) network connectivity and data management. While recent innovations are driving down the cost of satellite-based IoT, it remains relatively expensive, and widespread adoption is still not as high as terrestrial, ground-based systems. Security concerns over data and privacy also create significant barriers to entry and need to be addressed along with issues such as intermittent connectivity, latency and bandwidth limitations, and data storage and processing restrictions.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Solovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.

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t.The development of global agricultural production and food trade in recent decades implies a digital transformation and the transition to a new technological order, which is an essential factor for sustainable development. Digitalization of agriculture and the food sector is carried out on the basis of IT 2 platforms, the Internet of Things, cloud computing, big data, artificial intelligence, and blockchain technology. Fragmented and unclear legal mechanisms, slow updating of legal regulation hinder the introduction of digital solutions. A modern regulatory framework based on digital strategies should strengthen the confidence of farmers in "smart agriculture". In Russia, the legal mechanism of strategic planning covers the development of the national platform "Digital Agriculture". Digital strategies also include updating basic legislation.
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Sonmez Turan, Meltem. Ascon-Based Lightweight Cryptography Standards for Constrained Devices. National Institute of Standards and Technology, 2025. https://doi.org/10.6028/nist.sp.800-232.

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In 2023, the National Institute of Standards and Technology (NIST) announced the selection of the Ascon family of algorithms designed by Dobraunig, Eichlseder, Mendel, and Schläffer to provide efficient cryptographic solutions for resource-constrained devices. This decision emerged from a rigorous, multi-round lightweight cryptography standardization process. The Ascon family includes a suite of cryptographic primitives that provide Authenticated Encryption with Associated Data (AEAD), hash function, and eXtendable Output Function (XOF) capabilities. The Ascon family is characterized by lightweight, permutation-based primitives and provides robust security, efficiency, and flexibility, making it ideal for resource-constrained environments, such as Internet of Things (IoT) devices, embedded systems, and low-power sensors. The family is developed to offer a viable alternative when the Advanced Encryption Standard (AES) may not perform optimally. This standard outlines the technical specifications and security properties of Ascon-AEAD128, Ascon-Hash256, Ascon-XOF128, and Ascon-CXOF128.
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Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

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Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their implementation, but also is a source of a number of social and legal problems. A modern regulatory framework based on digital strategies should strengthen "smart agriculture". In Russia, the legal mechanism of digital transformation and development of the national platform "Digital Agriculture" should be supported by updated basic legislation.
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Obregon, Jean-Francois, Sergio Lazzarini, Diane-Laure Arjalies, et al. Towards a Climate-Smart Food System: A Theory of Change and Impact Metrics to Trigger Farming and Societal Change. Richard Ivey School of Business., 2023. http://dx.doi.org/10.5206/iveypub.78.2023.

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There is significant interest in sustainable food production practices in Canada and worldwide due to the challenges caused by the Russia-Ukraine war, land degradation, and climate change. Sustainable food production is a food system that provides affordable, nutritious food while preserving and restoring natural resources and generating robust ecosystem services such as carbon sequestration, water filtration, and retention. This report explores multiple routes to foster improved social, ecological, and economic impacts associated with alternative practices promoting sustainable food production. It identifies core problems that prevent agricultural systems and their food chains from implementing (more) sustainable practices. The report mobilizes a Theory of Change (TOC) to outline possible interventions and metrics to implement (community-based) interventions to promote shared principles of sustainable production and create communities of practice. The TOC was developed in consultation with a set of actors in the food chain (including farmers, financial institutions, municipal governments, food processors, NGOs and industry associations) during a nine-month research intervention in Canada (2023), complemented by a literature review. Thanks to this co-creation process, the proposed interventions and metrics to measure and track improvements at the farm and societal levels presented in this report are outcomes-based and bottom-up. This enables agricultural communities and actors in the food chain to pursue alternative routes to improve outcomes. The report also discusses incentives to pursue sustainable food production, either explicit (e.g. monetary payments, contractual clauses) or implicit (e.g. social norms, cultural values, network-based engagement of food chain actors). Lastly, it outlines a potential research design to test the suggested interventions, metrics, and incentives in a Randomized Control Trial (RCT).
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Torrijos, Ivan Dario Pinerez, Tina Puntervold, Skule Strand, Panagiotis Aslanidis, Ingebret Fjelde, and Aleksandr Mamonov. Core restoration: A guide for improved wettability assessments. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.198.

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The initial wetting of a reservoir sets a limit for the EOR potential during water-based recovery operations and “Smart Water” injection. For this reason, an improved understanding of the factors influencing the wetting can help to control and better forecast oil production during water-based floods. To preserve and reproduce the original reservoir wettability is a challenging task and wrong cleaning and core restoration procedures can lead to incorrect wettability estimations and thus induce serious errors when evaluating the initial wettability of a reservoir system or its EOR potential by water-based methods. Thereby, there is a need to improve the chemical knowledge on interactions among the rock, brine and fluids present in reservoir systems. This will help to understanding the influence of the parameters affecting wettability during cleaning and core restoration processes. Understanding which are the main parameters influencing oil recovery processes is of great relevance. The objective of this document is to provide suggestions for added-value experiments, complementing and challenging the standard RCA and SCAL procedures, prior to performing experimental research in which wettability and wettability alteration processes are important. Lessons learned will be highlighted and new ideas to optimize core restoration protocols to preserve and closely reproduce wettability are put forward. These recommended practices target core restoration procedures after the core material has been received in the laboratory. The target audience for this document is engineers and scientists with an interest in core preparation for wettability studies.
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Rihm, Alfredo, Carolina Piamonte, Eduardo Antonio Restrepo Lagos, Magda Correal, and Paula Gabriela Guerra Morán. Digital Transformation of Solid Waste Management: Waste Collection Innovation, Business Intelligence, and Digital Technologies to Transition Waste Management Towards Circularity in Latin America and the Caribbean. Edited by Claudia M. Pasquetti. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013169.

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If you are interested in technology and innovation, and have been wondering what are the new trends in technological and digital innovation in the solid waste sector in Latin America and the Caribbean, this publication is for you! The transition to the circular economy, climate action, the fourth industrial revolution bring new challenges to operators in the sector. Key challenges highlighted include the need for robust data and the digitization of waste management systems to meet the objectives of the circular economy. The text details the efforts of organizations such as the IDB to develop data generation and analysis tools through digital innovations. It also explores the role of smart waste technologies (SWT), such as Artificial Intelligence (AI), Internet of Things (IoT) and data analytics, in transforming integrated solid waste management (ISWM), improving operational efficiency and supporting sustainable practices. The publication delves into various technological tools used in ISMS, including business intelligence (BI), enterprise resource planning (ERP) and fleet management software. Case studies from countries such as Argentina, Colombia and Ecuador illustrate the successful application of these tools, highlighting their benefits in improving decision making, operational efficiency and overall service quality. The text concludes with recommendations for implementing smart waste technologies in the LAC region to foster digital transformation and support a circular economy model effectively.
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Yaseen, Lama, Nourah Al-Hosain, Ibrahem Shatnawi, and Abdelrahman Muhsen. Impact of Urban Traffic on Fuel Consumption Leveraging IoT Data: Case Study of Riyadh City. King Abdullah Petroleum Studies and Research Center, 2024. https://doi.org/10.30573/ks--2024-dp72.

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This study explores the rising trend of traffic congestion in Riyadh and its impact on fuel consumption for passenger cars amid the challenges of rapid urbanization and increasing vehicle use. By utilizing real-time floating car data (FCD) collected by vehicles equipped with Global Positioning System (GPS) technology and communication systems, this study illustrates the potential of the Internet of Things (IoT) and smart city technologies in developing intelligent transportation systems and improving urban mobility management. A spatial analysis of the traffic flow dynamics in Riyadh, focusing on selected primary highways, reveals that driving on high-capacity roads tends to increase fuel consumption. We conducted an analysis at a mesoscopic level, representing traffic congestion in Riyadh on high-capacity roads. It shows that traffic congestion leads to up to a 29% increase in fuel consumption, primarily due to frequent stop-and-go driving behavior, reducing overall fuel efficiency. This study enhances our understanding of urban traffic patterns, providing policymakers with data-driven insights to help them create more sustainable road planning strategies to address the specific needs and challenges of urban mobility in cities.
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10

Carpenter, Marie, and William Lazonick. The Pursuit of Shareholder Value: Cisco’s Transformation from Innovation to Financialization. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp202.

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Once the global leader in telecommunication systems and the Internet, over the past two decades the United States has fallen behind global competitors, and in particular China, in mobile communication infrastructure—specifically 5G and Internet of Things (IoT). This national failure, with the socioeconomic and geopolitical tensions that it creates, is not due to a lack of US government investment in the knowledge required for the mobility revolution. Nor is it because of a dearth of domestic demand for the equipment, devices, and applications that can make use of this infrastructure. Rather, the problem is the dereliction of key US-based business corporations to take the lead in making the investments in organizational learning required to generate cutting edge communication-infrastructure products. No company in the United States exemplifies this deficiency more than Cisco Systems, the business corporation founded in Silicon Valley in 1984 that had explosive growth in the 1990s to become the foremost global enterprise-networking equipment producer in the Internet revolution. This paper provides in-depth analysis of Cisco’s organizational failure, attributing it ultimately to the company’s turn from innovation in the last decades of 20th century to financialization in the early decades of the 21st century. Since 2001, Cisco’s top management has chosen to allocate corporate cash to open-market share repurchases— aka stock buybacks—for the purpose of giving manipulative boosts to the company stock price rather than make the investments in organizational learning required to become a world leader in communication-infrastructure equipment for the era of 5G and IoT. From October 2001 through October 2022, Cisco spent $152.3 billion—95 percent of its net income over the period—on stock buybacks for the purpose of propping up its stock price. These funds wasted in pursuit of “maximizing shareholder value” were on top of the $55.5 billion that Cisco paid out to shareholders in dividends, representing an additional 35 percent of net income. In this paper, we trace how Cisco grew from a Silicon Valley startup in 1984 to become, through its innovative products, the world leader in enterprise-networking equipment over the next decade and a half. As the company entered the 21st century, building on its dominance of enterprise-networking, Cisco was positioned to upgrade its technological capabilities to become a major infrastructureequipment vendor to service providers. We analyze how and why, when the Internet boom turned to bust in 2001, the organizational structure that enabled Cisco to dominate enterprise networking posed constraints related to manufacturing and marketing on the company’s growth in the more sophisticated infrastructure-equipment segment. We then document how from 2002 Cisco turned from innovation to financialization, as it used its ample profits to do stock buybacks to prop up its stock price. Finally, we ponder the larger policy implications of Cisco’s turn from innovation to financialization for the competitive position of the US information-and-communication technology (ICT) industry in the global economy.
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