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Добірка наукової літератури з теми "Smart city API"

Автор: Grafiati

Опубліковано: 10 березня 2023

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Статті в журналах з теми "Smart city API"

Barletta, Vita S., Danilo Caivano, Antonella Nannavecchia, and Michele Scalera. "A Spell Checking Web Service API for Smart City Communication Platforms." Open Journal of Applied Sciences 09, no. 12 (2019): 819–40. http://dx.doi.org/10.4236/ojapps.2019.912066.

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Ferreira, Célio Márcio Soares, Charles Tim Batista Garrocho, Ricardo Augusto Rabelo Oliveira, Jorge Sá Silva, and Carlos Frederico Marcelo da Cunha Cavalcanti. "IoT Registration and Authentication in Smart City Applications with Blockchain." Sensors 21, no. 4 (February 13, 2021): 1323. http://dx.doi.org/10.3390/s21041323.

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The advent of 5G will bring a massive adoption of IoT devices across our society. IoT Applications (IoT Apps) will be the primary data collection base. This scenario leads to unprecedented scalability and security challenges, with one of the first areas for these applications being Smart Cities (SC). IoT devices in new network paradigms, such as Edge Computing and Fog Computing, will collect data from urban environments, providing real-time management information. One of these challenges is ensuring that the data sent from Edge Computing are reliable. Blockchain has been a technology that has gained the spotlight in recent years, due to its robust security in fintech and cryptocurrencies. Its strong encryption and distributed and decentralized network make it potential for this challenge. Using Blockchain with IoT makes it possible for SC applications to have security information distributed, which makes it possible to shield against Distributed Denial of Service (DDOS). IoT devices in an SC can have a long life, which increases the chance of having security holes caused by outdated firmware. Adding a layer of identification and verification of attributes and signature of messages coming from IoT devices by Smart Contracts can bring confidence in the content. SC Apps that extract data from legacy and outdated appliances, installed in inaccessible, unknown, and often untrusted urban environments can benefit from this work. Our work’s main contribution is the development of API Gateways to be used in IoT devices and network gateway to sign, identify, and authorize messages. For this, keys and essential characteristics of the devices previously registered in Blockchain are used. We will discuss the importance of this implementation while considering the SC and present a testbed that is composed of Blockchain Ethereum and real IoT devices. We analyze the transfer time, memory, and CPU impacts during the sending and processing of these messages. The messages are signed, identified, and validated by our API Gateways and only then collected for an IoT data management application.

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Elahi, Haroon, Guojun Wang, Tao Peng, and Jianer Chen. "On Transparency and Accountability of Smart Assistants in Smart Cities." Applied Sciences 9, no. 24 (December 6, 2019): 5344. http://dx.doi.org/10.3390/app9245344.

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Smart Assistants have rapidly emerged in smartphones, vehicles, and many smart home devices. Establishing comfortable personal spaces in smart cities requires that these smart assistants are transparent in design and implementation—a fundamental trait required for their validation and accountability. In this article, we take the case of Google Assistant (GA), a state-of-the-art smart assistant, and perform its diagnostic analysis from the transparency and accountability perspectives. We compare our discoveries from the analysis of GA with those of four leading smart assistants. We use two online user studies (N = 100 and N = 210) conducted with students from four universities in three countries (China, Italy, and Pakistan) to learn whether risk communication in GA is transparent to its potential users and how it affects them. Our research discovered that GA has unusual permission requirements and sensitive Application Programming Interface (API) usage, and its privacy requirements are not transparent to smartphone users. The findings suggest that this lack of transparency makes the risk assessment and accountability of GA difficult posing risks to establishing private and secure personal spaces in a smart city. Following the separation of concerns principle, we suggest that autonomous bodies should develop standards for the design and development of smart city products and services.

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Shalamberidze, Irakli, and Merab Akhobadze. "Web platform for "Smart City" data collection and analytics." ECONOMIA AGRO-ALIMENTARE, no. 3 (January 2020): 847–54. http://dx.doi.org/10.3280/ecag2019-003015.

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The study aims to highlight that nowadays, finding ways to manage the current processes both in the regions and in cities with big agglomeration is the most important and difficult problem. A fortiori, when it concerns developed regions. While designing urban system development, management, and reconstruction projects, both managers of the cities and urbanists must take into account the opinions of specialists, who have different categories of mindsets and they "talk different languages" (Sociologists, ecologists, businessmen, etc.). Summing up the aforementioned languages in a common denominator is possible only by mathematics and computing tools. Nowadays, the problems of city management are united in the concept of "Smart city", which is usually referred to as "informational city". "Smart City" - this is an integration concept, which involves the usage of the so called "integrated imitative model" for systematic, stable, optimal decision making, as the city is a whole dynamic unity. Today's managers of the cities, urbanists, investors, businessmen, sociologists, etc. have to deal with a huge amount of parameters, opinions and data in a nonsystematic manner. Our proposed study "Unified Web Platform of the Region and Smart Management" includes: website, Google Map, pointing object in the map, saving the objects and their parameters, mathematical and programmatic tools, cloud computing, python computing libraries, Restful api as a web service, etc. As for the web service or restful api, any software can have access to the data of the united web platform of the region through a specially defined protocol. Objects presented in the map have assigned specialized and standardized parameters, which are used by the system algorithm for the analyses and the presentation of all the structural creators of the dynamic processes of the city. This gives us the opportunity to see the whole chain of interactions, which are caused by the actions on any object of the city. Users register on the website and they can see the parameters of the objects that are set in the map. The objects in the databases are classified by their purpose, affiliation, destination and other marks. There is an ability for users to define the status of an object on their own. Users can also add or remove objects on the map and can manipulate with the updated parameters on the map. They can evaluate the chain of results both in the time and dimensional manner. For the built-in mathematical tools and algorithms in the system, we use Algebraic topology methods, Graphs theory non-linear differential equations, the theory of disasters and bifurcation, Chaos theory, methods of mathematical statistics and more. Web platform includes all the mathematical tools and programmatic packages that are necessary for stable development of small and medium-sized business.

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Paramitha, A. A. Istri Ita, and I Nyoman Mahayasa Adiputra. "DETEKSI KENDARAAN PADA LALU LINTAS MENGGUNAKAN ARTIFICIAL INTELLIGENCE UNTUK MENDUKUNG DENPASAR SMART CITY." Jurnal Informatika Teknologi dan Sains 4, no. 4 (November 27, 2022): 353–58. http://dx.doi.org/10.51401/jinteks.v4i4.2074.

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Dalam rangka mendukung Kota Denpasar menuju Smart City, maka salah satu faktor yang harus dipenuhi adalah adanya penerapan Smart Infrastructure. Smart Infrastructure mencakup pengembangan jaringan telekomunikasi, transportasi, sistem informasi, dan sistem manajemen yang berbasis IT. Guna mendukung Kota Denpasar untuk menuju Smart City, maka dalam penelitian ini akan mengambil fokus dalam inovasi teknologi Smart Infrastructure. Dengan memanfaatkan teknologi artificial intelligence untuk mendeteksi kendaraan-kendaraan yang melewati jalan raya sehingga kegiatan pengawasan terhadap lalu lintas dapat dibantu dengan aplikasi berbasis komputer. Tujuan penelitian ini adalah menghasilkan analytic dashboard yang dapat memberikan informasi lalu lintas dengan cepat kepada Dinas Perhubungan Kota Denpasar. Dalam penelitian ini akan dilakukan deteksi kendaraan lalu lintas dengan memanfaatkan Tensorflow Object Detection API yang memiliki tingkat akurasi di atas 90% berdasarkan hasil penelitian-penelitian di bidang Artificial Intelligence yang sebelumnya telah dilakukan. Objek yang digunakan sebagai masukan adalah video dengan format mp4 yang akan dibaca dengan modul OpenCV. Proses berikutnya adalah terdapat tiga bagian yang akan diklasifikasikan pada sebuah kendaraan, pertama adalah jenis kendaraan (motor,mobil,truck atau bus), yang kedua adalah warna kendaraan, dan yang ketiga adalah kecepatan serta arah kendaraan jika kondisi jalan memungkinkan untuk dua arah kendaraan.

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Raetzsch, Christoph, Gabriel Pereira, Lasse S. Vestergaard, and Martin Brynskov. "Weaving seams with data: Conceptualizing City APIs as elements of infrastructures." Big Data & Society 6, no. 1 (January 2019): 205395171982761. http://dx.doi.org/10.1177/2053951719827619.

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This article addresses the role of application programming interfaces (APIs) for integrating data sources in the context of smart cities and communities. On top of the built infrastructures in cities, application programming interfaces allow to weave new kinds of seams from static and dynamic data sources into the urban fabric. Contributing to debates about “urban informatics” and the governance of urban information infrastructures, this article provides a technically informed and critically grounded approach to evaluating APIs as crucial but often overlooked elements within these infrastructures. The conceptualization of what we term City APIs is informed by three perspectives: In the first part, we review established criticisms of proprietary social media APIs and their crucial function in current web architectures. In the second part, we discuss how the design process of APIs defines conventions of data exchanges that also reflect negotiations between API producers and API consumers about affordances and mental models of the underlying computer systems involved. In the third part, we present recent urban data innovation initiatives, especially CitySDK and OrganiCity, to underline the centrality of API design and governance for new kinds of civic and commercial services developed within and for cities. By bridging the fields of criticism, design, and implementation, we argue that City APIs as elements of infrastructures reveal how urban renewal processes become crucial sites of socio-political contestation between data science, technological development, urban management, and civic participation.

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Deepaisarn, Somrudee, Paphana Yiwsiw, Sirada Chaisawat, Thanakit Lerttomolsakul, Leeyakorn Cheewakriengkrai, Chanon Tantiwattanapaibul, Suphachok Buaruk, and Virach Sornlertlamvanich. "Automated Street Light Adjustment System on Campus with AI-Assisted Data Analytics." Sensors 23, no. 4 (February 7, 2023): 1853. http://dx.doi.org/10.3390/s23041853.

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The smart city concept has been popularized in the urbanization of major metropolitan areas through the implementation of intelligent systems and technology to serve the increasing human population. This work developed an automatic light adjustment system at Thammasat University, Rangsit Campus, Thailand, with a primary objective of optimizing energy efficiency, while providing sufficient illumination for the campus. The development consists of two sections: the device control and the prediction model. The device control functionalities were developed with the user interface to enable control of the smart street light devices and the application programming interface (API) to send the light-adjusting command. The prediction model was created using an AI-assisted data analytic platform to obtain the predicted illuminance values so as to, subsequently, suggest light-dimming values according to the current environment. Four machine-learning models were performed on a nine-month environmental dataset to acquire predictions. The result demonstrated that the three-day window size setting with the XGBoost model yielded the best performance, attaining the correlation coefficient value of 0.922, showing a linear relationship between actual and predicted illuminance values using the test dataset. The prediction retrieval API was established and connected to the device control API, which later created an automated system that operated at a 20-min interval. This allowed real-time feedback to automatically adjust the smart street lighting devices through the purpose-designed data analytics features.

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Kadusic, Esad, Natasa Zivic, Christoph Ruland, and Narcisa Hadzajlic. "A Smart Parking Solution by Integrating NB-IoT Radio Communication Technology into the Core IoT Platform." Future Internet 14, no. 8 (July 25, 2022): 219. http://dx.doi.org/10.3390/fi14080219.

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With the emerging Internet of Things (IoT) technologies, the smart city paradigm has become a reality. Wireless low-power communication technologies (LPWAN) are widely used for device connection in smart homes, smart lighting, mitering, and so on. This work suggests a new approach to a smart parking solution using the benefits of narrowband Internet of Things (NB-IoT) technology. NB-IoT is an LPWAN technology dedicated to sensor communication within 5G mobile networks. This paper proposes the integration of NB-IoT into the core IoT platform, enabling direct sensor data navigation to the IoT radio stations for processing, after which they are forwarded to the user application programming interface (API). Showcasing the results of our research and experiments, this work suggests the ability of NB-IoT technology to support geolocation and navigation services, as well as payment and reservation services for vehicle parking to make the smart parking solutions smarter.

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Barriga, Jhonattan J., Juan Sulca, José León, Alejandro Ulloa, Diego Portero, José García, and Sang Guun Yoo. "A Smart Parking Solution Architecture Based on LoRaWAN and Kubernetes." Applied Sciences 10, no. 13 (July 7, 2020): 4674. http://dx.doi.org/10.3390/app10134674.

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Finding a parking space in a city is one of the most common activities of a driver. This becomes more difficult when the city is unknown or has huge vehicular congestion. A solution to address this issue is called smart parking. Smart parking solutions rely on Internet of Things (IoT) and several technologies to achieve their purpose. This paper proposes an architecture for deploying a smart parking solution based on Long-Range Wide Area Network (LoRaWAN) sensors, LoRaWAN and a cluster of Kubernetes. This approach provides an open architecture able to share information with other parties through a REST API interface. Likewise, it contains a mobile and a web application for user interaction. This solution provides an administration interface for managing parking lots. The user interface lets a user to find, view information, display available spaces and rate a parking lot in real time. This solution could be used as an application as service parking system. The proposed architecture is fully portable and scalable due to the use of Kubernetes.

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Duda, Oleksii, Liliana Dzhydzhora, Oleksandr Matsiuk, Andrii Stanko, Nataliia Kunanets, Volodymyr Pasichnyk, and Oksana Kunanets. "Mobile information system for monitoring the spread of viruses in smart cities." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 8 (December 5, 2020): 65–70. http://dx.doi.org/10.23939/sisn2020.08.065.

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The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages. The smart city concept in the context of viral disease control focuses on the application of Big Data analysis methods and the improvement of forecasting procedures and emergency treatment protocols. Using different technologies, cloud server stores the positioning data obtained from different devices, and the application accesses API to display and analyze the positioning data in real time. Due to the technologies combination, internal and external positioning can be used with a certain accuracy degree, being useful for various medical and emergency situations and analysis and the following processing by other smart city information systems. The result of the given investigation is the development of the conceptual model of multi-level mobile personalized health status monitoring system used for intellectual data analysis, prediction, treatment and prevention of viral diseases such as Covid-19 in modern “smart city”.

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Більше джерел

Дисертації з теми "Smart city API"

La, Torre Giuseppe. "Secure Access to Context-Aware Services in a Smart City." Doctoral thesis, Università di Catania, 2015. http://hdl.handle.net/10761/3931.

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The evolution of the Web to Web 2.0 before and after the Web of Things, has resulted in a transformation of what over the years has been the role of the user. Thanks to this socio-technological evolution, we have seen the birth of the first smart cities, which will be pervaded by services produced and delivered tailored to their citizens. The thesis addresses the key issues that affect the interaction between users and context-aware services within the smart city, with particular attention to the generation, discovery and access control of these services.

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Soderi, Mirco. "Semantic models for the modeling and management of big data in a smart city environment." Doctoral thesis, 2021. http://hdl.handle.net/2158/1232245.

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The overall purpose of this research has been the building or the improve- ment of semantic models for the representation of data related to smart cities and smart industries, in such a way that it could also be possible to build context-rich, user-oriented, ecient and eective applications based on such data. In some more detail, one of the key purposes has been the modelling of structural and the functioning aspects of the urban mobility and the produc- tion of instances exploiting the Open Street Map, that once integrated with trac sensors data, it has lead to the building and displaying of real-time trac reconstructions at a city level. One second key purpose has been the modelling of the Internet of Things, that allows today to seamlessy and e- ciently identify sensing devices that are deployed in a given area or along a given path and that are of a given type, and also inspect real-time data that they produce, through a user-oriented Web application, namely the Service Map. A pragmatic approach to the modelling has been followed, always tak- ing into consideration the best practices of semantic modelling on one side for that a clean, comprehensive and understandable model could result, and the reality of the data at our hands and of the applicative requirements on the other side. As said, the identication of architectures and methods that could grant eciency and scalability in data access has also been a primary purpose of this research that has led to the denition and implementation of a federation of Service Maps, namely the Super Service Map. The archi- tecture is fully distributed: each Super Service Map has a local list of the actual Service Maps with relevant metadata, it exposes the same interface as actual Service Maps, it forwards requests and builds merged responses, also implementing security and caching mechanisms. As said, the identica- tion of technologies, tools, methods, for presenting the data in a user-friendly manner is also has been a relevant part of this research, and it has led among the other to the denition and implementation of a client-server architecture and a Web interface in the Snap4City platform for the building, manage- ment, and displaying of synoptic templates and instances thanks to which users can securely display and iteract with dierent types of data. In end, some eort has been made for the automatic classication of RDF datasets as for their structures and purposes, based on the computation of metrics through SPARQL queries and on the application of dimensionality reduc- tion and clustering techniques. A Web portal is available where directories, datasets, metrics, and computations can be inspected even at real-time.

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Grabowski, Sebastian. "Ekosystemy informacyjne społeczności programistycznych." Doctoral thesis, 2018. https://depotuw.ceon.pl/handle/item/3115.

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W swojej pracy autor przedstawia otwarte społeczności programistyczne i wytwarzane przez nie: rozwiązania, systemy oraz narzędzia. Rolę otwartych społeczności autor prezentuje zarówno na przykładach operatorów telekomunikacyjnych, którzy gromadząc wokół siebie społeczności stworzyli otwarte ekosystemy programistyczne, jak i na podstawie własnych doświadczeń praktycznych, zebranych w trakcie tworzenia krajowych ekosystemów programistycznych. Były to m.in. BIHAPI, ekosystem stworzony w trakcie konkursu Business Intelligence Hackathon API oraz Open Middleware Community. Cechy ekosystemów stworzonych przez firmy z sektora komunikacji elektronicznej oraz doświadczenia autora są podstawą do określenia głównych elementów otwartych społeczności programistycznych: otwartości struktur, spójności interfejsów technologicznych, otwartych danych traktowanych jako dobro wspólne, a także wykorzystania nowoczesnych narzędzi ICT wspierających w czasie rzeczywistym wzajemne relacje uczestników społeczności.Zagadnienia związane z otwartymi API i otwartymi danymi autor odnosi do innowacyjności, własności intelektualnej oraz bezpieczeństwa danych. Przedstawia też przykłady przedsiębiorczości sieciowej, crowdsourcingu oraz crowdfundingu. Autor podkreśla, że do realizacji niematerialnych celów, elementy ekosystemu wymagają struktury materialnej. Strukturą taką według autora jest współczesne inteligentne miasto – złożona, usieciowiona organizacja wyposażona w nowoczesne narzędzia ICT. Miasto zdefiniowane jako platforma do realizacji celów społecznych. W mieście powstają nie tylko elementy dobra wspólnego o charakterze materialnym, ale także nowe rodzaje niematerialnego dobra wspólnego, zwłaszcza otwarte dane miejskie, generowane przez mieszkańców, firmy, instytucje oraz organizacje, dostępne bez ograniczeń dla wszystkich zainteresowanych ich treścią i możliwościami ich wykorzystania. Według autora warunkami koniecznymi (choć niewystarczającymi) dla budowy efektywnych sieciowych ekosystemów informacyjnych tworzonych przez społeczności programistyczne są: istnienie istotnych społecznie zbiorów otwartych danych, swobodny dostęp do zasobów i usług otwartych systemów informacyjnych, w tym do otwartych danych, istnienie i dostępność otwartych interfejsów programistycznych (API) i możliwość tworzenia nowych API oraz zbiorów informacyjnych i programów usługowych, a także dołączanie ich do zasobów systemu na zasadzie konsensusu społeczności sieciowej. W swojej pracy autor proponuje generyczny model ekosystemu informacyjnego społeczności programistycznych.
In his work the author presents open software development communities, as well as solutions, systems and tools created by such communities. The role of open communities is presented by the author based on both, examples of telecommunications operators that have created open software development ecosystems by attracting such communities, as well as the author’s practical experience gained while creating Polish software development ecosystems. They included, among others, BIHAPI, an ecosystem created during the Business Intelligence Hackathon API competition and Open Middleware Community. The features of ecosystems created by electronic communications companies and the author's experience are the basis for defining the main elements of open software development communities: openness of structures, consistency of technological interfaces, open data treated as a common good, and also the use of modern ICT tools supporting mutual relationships among the community participants in real time. Topics related to open APIs and open data are related by the author to innovations, intellectual property and data security. Examples of online entrepreneurship, crowdsourcing and crowdfunding are also presented. The author emphasizes that elements of an ecosystem require a tangible structure in order to accomplish intangible goals. According to the author a contemporary smart city is such a structure - a complex, networked organization equipped with modern ICT tools. A city defined as a platform dedicated to achieving social goals. Not only tangible elements of common good are created in the city, but also new types of intangible common good, especially open city data sets generated by citizens, companies, institutions and organizations, available without restrictions to all parties interested in their content and use options. According to the author, the prerequisites (but insufficient conditions) for building efficient online information ecosystems created by software development communities include: existence of socially relevant open data sets; free access to open information systems resources and services, including open data; existence and availability of open programming interfaces (API) and ability to create new APIs as well as information sets and service programs, and also to add them to the system resources based on the online community consensus. In his work the author is proposing a generic model of the software development community information ecosystem.

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Книги з теми "Smart city API"

Sandler, Corey. Official Sega Genesis and Game Gear strategies, 3RD Edition. New York: Bantam Books, 1992.

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Tom, Badgett, ed. Official Sega Genesis and Game Gear strategies, 2ND Edition. Toronto: Bantam Books, 1991.

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Official Sega Genesis and Game Gear Strategies, '94 Edition. New York, NY: Random House, Electronic Publishing, 1993.

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Частини книг з теми "Smart city API"

Santhanavanich, Thunyathep, Rosanny Sihombing, Pithon Macharia Kabiro, Patrick Würstle, and Sabo Kwado Sini. "Storing and Visualising Dynamic Data in the Context of Energy Analysis in the Smart Cities." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 251–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_16.

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AbstractThere is increased activity in developing workflows and implementations in the context of urban energy analysis simulation based on 3D city models in smart cities. At the University of Applied Sciences Stuttgart (HFT Stuttgart), an urban energy simulation platform called ‘SimStadt’ has successfully been developed. It uses the CityGML 3D city model to simulate the heat demand, photovoltaic potential, and other scenarios that provide dynamic simulation results in both space and time dimensions. Accordingly, a tool for managing dynamic data of the CityGML models is required. Earlier, the CityGML Application Domain Extension (ADE) had been proposed to support additional attributes of the CityGML model; however, there is still a lack of open-source tools and platforms to manage and distribute the CityGML ADE data efficiently. This article evaluates and compares alternative methods to manage dynamic simulation results of the 3D city model and visualise these data on the 3D web-based smart city application, including the use of SimStadt web services, databases, and OGC SensorThings API standard.

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Rani, Sita, Pankaj Bhambri, Aman Kataria, and Alex Khang. "Smart City Ecosystem." In AI-Centric Smart City Ecosystems, 1–20. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-1.

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Sharma, Prerna, Kumar Guarve, Sumeet Gupta, and Kashish Wilson. "Smart City Framework." In AI-Centric Smart City Ecosystems, 57–68. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-4.

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Chauhan, Meetali. "Smart Healthcare Solutions for Smart Cities." In AI-Centric Smart City Ecosystems, 247–60. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-15.

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Martínez-Camacho, Humberto. "Smart Libraries as Promoters of Development in the Smart City Context." In AI-Centric Smart City Ecosystems, 209–30. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-13.

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Khang, Alex, Vladimir Hahanov, Eugenia Litvinova, Svetlana Chumachenko, Vugar Abdullayev Hajimahmud, and Abuzarova Vusala Alyar. "The Key Assistant of Smart City." In AI-Centric Smart City Ecosystems, 271–80. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-17.

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Hajimahmud, Vugar Abdullayev, Alex Khang, Vladimir Hahanov, Eugenia Litvinova, Svetlana Chumachenko, and Abuzarova Vusala Alyar. "Autonomous Robots for a Smart City." In AI-Centric Smart City Ecosystems, 111–22. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-7.

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Khang, Alex, Vladimir Hahanov, Gardashova Latafat Abbas, and Vugar Abdullayev Hajimahmud. "Cyber-Physical-Social System and İncident Management." In AI-Centric Smart City Ecosystems, 21–35. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-2.

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Younus, Ahmed Muayad, Mohanad S. S. Abumandil, Veer P. Gangwar, and Shashi Kant Gupta. "AI-Based Smart Education System for a Smart City Using an Improved Self-Adaptive Leap-Frogging Algorithm." In AI-Centric Smart City Ecosystems, 231–45. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-14.

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Dhanalakshmi, R., N. Vijayaraghavan, Arun Kumar Sivaraman, and Sita Rani. "Epidemic Awareness Spreading in Smart Cities Using the Artificial Neural Network." In AI-Centric Smart City Ecosystems, 187–207. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-12.

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Тези доповідей конференцій з теми "Smart city API"

Nesi, P., C. Badii, P. Bellini, D. Cenni, G. Martelli, and M. Paolucci. "Km4City Smart City API: An Integrated Support for Mobility Services." In 2016 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2016. http://dx.doi.org/10.1109/smartcomp.2016.7501702.

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Takahashi, Kohei, Shintaro Yamamoto, Akihiro Okushi, Shinsuke Matsumoto, and Masahide Nakamura. "Design and implementation of service API for large-scale house log in smart city cloud." In 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2012. http://dx.doi.org/10.1109/cloudcom.2012.6427590.

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"A Smart Mobile Application Designed to Educate and Aid the Public in Combating Climate Change." In 4th International Conference on Machine Learning and Soft Computing. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130208.

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We aim to tackle the issue of improving the global situation regarding climate change by creating a mobile application named Climerry, which educates its users on recent news related to climate on the home screen. Climerry also features a second tab that allows users to view opportunities to improve the climate change situation in the vicinity by typing in a ZIP code or city name. Some examples of opportunities include beach cleanups and tree-planting sessions. By informing and encouraging the general public to become more involved in the effort to preserve our planet, the negative effects of climate change may be much less significant in the future. To prove the effectiveness of this application in encouraging the general public to take action against climate change, one experiment was performed to gauge how much knowledge regarding climate change the participants had gained by using the application. Another experiment tested the reliability of the news API used in the application by testing the accuracy of information in each of the selected articles in the featured news section of the application. The result of the experiments indicated that the application is useful when it comes to providing accurate news and educating its users on the topic of climate change.

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Nagaraj, Jegadeesh. "Smart Pigging in High Pressure Gas Pipeline Practical Problems and Solutions: A Case Study." In ASME 2013 India Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/iogpc2013-9826.

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Smart pigs, also known as inline inspection (ILI) tools or intelligent pigs, are electronic devices designed to flow on the inside of a gas transmission pipeline, usually while the line is in service, to inspect a pipeline for various types of anomalies that can increase the risks of pipeline failure. This paper describes various problems faced on in service pigging in gas pipelines even after getting data by typical pipeline questionnaire as per NACE RP0102. Problems and solution starting from Launching, crossing SV stations, tap off Point flow tees and Receiving at Pig Receiver including data retrieval from smart pig. First of all, different segment thickness and anomalies of entire length of pipeline will be studied before launch of the tool, because this is important input in ILI tool design in terms of OD and percentage flexibility of pig while run. API 1163 will considered as a master standard for smart pig applications in pipelines. Smart pigging is done once in 10 years interval as per Indian regulation and data recorded in this inspection is important risk assessment input in Pipeline Integrity Management and for deciding life of pipeline. This paper describes various problem faced in pigging i.e. Pig struck before Launching in Launcher, Pig struck at Sectionalization Valve station, Pig stopped in Pipeline without any reason, Pig struck at Flow Tee before Receiver, Pig barrel opening a Hazardous activity, Failure of Data retrieval from smart pig after receiving, Re-run of smart pig and how fluctuating flow rates in different region of pipelines will affect running a pig. This paper deals pig retrieval methods used in different struck ups and various aspects to be considered while planning to run a smart pig. This paper also deals problem faced i.e. magnetized pipe and difficulty in welding after retrieving struck up pigs by hot tapping and stoppling methods and how it was solved. Smart pigging, when properly applied, can serve as a superior inspection tool for many risks of concern over other integrity inspection methods. A proper smart pigging program can play a vital role in integrity management (“IM”) and smooth operation of pipeline without any flow interruption to downstream customers. The downstream customers of different industry which serves to run day to day life of society like Power Plants, City Gas Distribution (CGD) Companies, Refineries, Fertilizers, Ceramics, Dairy units etc will not be interrupted while run a smart pig to avoid consequences and give better service as a Pipeline operator. Smart pig, performance specification shall be qualified by the service provider by any one of the methodologies i.e. verified historical data, Large scale tests from real or artificial anomalies, small scale tests, modeling, and/or analyses. Pipeline operator may ensure final documents and other requirements as per API1163 standards.

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Temes Cordovez, Rafael R., Dolores Hernández Fernández de Rojas, Alfonso Moya Fuero, and Jaume Martí Garrido. "APP R-ALERGO: allergy-healthy routes in Valencia." In Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2016. http://dx.doi.org/10.5821/ctv.8145.

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On the urban areas there are sources of information about the exposition to environmental allergens and others potential factors of allergies, such as: weather conditions, vegetation, urban morphology, etc. For the last two years we have been developing, together with the “La Fe” Hospital of Valencia, the Cartography Institute of Valencia (Instituto Cartografico Valenciano), and the Polytechnic University of Valencia (UPV), a mobile phone App to help citizens to avoid high environmental allergens exposure areas while they are walking around the city. The App uses modified grid calculations where impedances have been calculated based on the variables that affect allergens exposure: temperature, humidity and wind direction, pollution level, trees, pollination, season period, pet areas, fountains and water surfaces. People’s allergy information and the factors that have effects on the allergens exposure were agreed by a group of specialized doctors. The design follows the recommendations of the Agency of Health Quality of Andalucia (Agencia de Calidad Sanitaria de Andalucia). R-ALERGO is the first App to avoid the exposure to air allergens in Spain. The App works following 4 steps: 1st Patient profile; 2nd Definition of the origin-destination of the route; 3rd Calculation of the route with the lower exposure to allergens; 4th Specific recommendations for users. The App R-ALERGO is developed following the concept of other applications dedicated to improve life quality of citizens and recovering, by using the idea of Smart Cities, the link between medicine and health, with the purpose of achieving more responsible cities towards their citizens.

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Temes Cordovez, Rafael R., and Alfonso Moya Fuero. "Application for a barrier free tourism in Valencia." In Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2016. http://dx.doi.org/10.5821/ctv.8146.

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Barrier free tourism is increasingly getting a greater attention by the tourist industry, not just for the added value given to the touristic experience, but because of the difference and specialization on a wide market share that the Spanish touristic sector has not been able to fully take advantage of yet. Following this idea, the National Plan for Smart cities (Plan Nacional de Ciudades Inteligentes) stands up for smart touristic destinations where innovative technologies should play an important role to improve accessibility. The development of the mobile phone App “Barrier Free-Valencia” intents to offer a useful tool to walk through the city of Valencia guaranteeing a 100% barrier free route. The methodology used for the development is based on the combination of a systematic field work, using free access information provided by the Municipality of Valencia, and calculations based on the Dijkstra algorithm (1959) implemented on a GIS software. To calculate the route, it is used the impedance or crossing difficulty concept where the different urban barriers and low comfort situation areas are identified. The main data used are: presence of lower sidewalks, path narrowing, slopes, steps and noisy pavement. After this data has been identified, the routes are divided into accessible, passable, and not accessible. It is necessary to work on the idea of creating representative single line grids of sidewalks and, therefore, of real paths followed by urban citizens. By doing so, more data can be collected to build a complete Smart City grid. The development of Apps such as Barrier Free will help on the evolution towards more inclusive cities. An idea that is the basic line of our investigation.

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Skouby, K. E., and P. Lynggaard. "Smart home and smart city solutions enabled by 5G, IoT, AAI and CoT services." In 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2014. http://dx.doi.org/10.1109/ic3i.2014.7019822.

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Chaves-Custodio, Bianca, and M. Pilar Garcia-Almirall. "The use of smartphones in public spaces in the Smart Cities Era." In Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2016. http://dx.doi.org/10.5821/ctv.8138.

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Nowadays the possibility of being ubiquitous connected generates new patterns in the relation between people and the built environment. In a time when cities around the globe claim to be smart, it is crucial to be conscious and highlight the value of its inhabitant’s collective wisdom. Technology can improve efficiency in many aspects but cities cannot be understood without its people. We are reorganizing our lives around mass mobile communications. Given that the research scope needs to be updated. Some studies on the use of mobiles in urban spaces have been done, however they have rarely been used to describe this phenomena at a street level, understanding how users interact with public spaces (or not), while online. The research sought to investigate how the widespread use of smartphones frames people’s behavior and interaction with public spaces and create new forms of urban dynamics in the Smart Cities era. In this context, we compared the different social groups (tourists, temporary and permanent residents) that inhabit the city. Taking El Born area in the city of Barcelona as case study we have analyzed the use of public spaces and how mobile technology affects the way people relate to the city while online. Adopting traditional methods of field observation and combining them with surveys we have extended and improved existing methodologies, generating a singular comprehensive dataset, consisting of more than 5000 observations. The analysis of all collected data provided insightful outcomes both at street level and from the users’ point of view. The results evince that behavioral patterns on the use of technology in public spaces are tightly linked to the social group each person belongs to and to the relation each one has to a place. Although online information about places is getting progressively more accurate, there is still a valuable intangible layer of knowledge held by locals that can not be replaced by any map, recommendation system or app. Despite the infinite possibilities of being online, mediated perception do not replace the intangible value of face-to-face relations.

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Zubairi, Junaid Ahmed, Sahar Idwan, Syed Ali Haider, and David Hurtgen. "Smart City Traffic Management for Reducing Congestion." In 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET). IEEE, 2022. http://dx.doi.org/10.1109/honet56683.2022.10018963.

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Yoon, Jongho, and Ucheul Shin. "Effective Application of Urban Renewable Energy System for Smart Energy City: Case Study of Sejong 5-1 Smart Energy City." In 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2019. http://dx.doi.org/10.1109/itec-ap.2019.8903873.

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Звіти організацій з теми "Smart city API"

Hicks, Jacqueline. Export of Digital Surveillance Technologies From China to Developing Countries. Institute of Development Studies, August 2022. http://dx.doi.org/10.19088/k4d.2022.123.

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There is evidence to show that Chinese companies, with some state credit backing, are selling digital surveillance technologies to developing countries, which are then sometimes used in authoritarian practices. However, there is little direct evidence to show that surveillance technologies sold by Chinese companies have more authoritarian potential than the technologies sold by non-Chinese companies. Some researchers define “surveillance technologies” as including any form of digital infrastructure. There is data to show that developing country governments are contracting Chinese companies to build digital infrastructures. Other researchers define “surveillance technologies” as smart city projects. It is estimated that in 2019, Chinese smart city technologies have been purchased in over 100 countries worldwide. Other researchers look at more specific elements of smart cities: There are estimates that the “AI surveillance” components of smart cities have been purchased in 47-65 countries worldwide, and the “data integration” security platforms in at least 80 countries. None of these figures imply anything about how these technologies are used. The “dual use” nature of these technologies means that they can have both legitimate civilian and public safety uses as well as authoritarian control uses. There is evidence of some governments in Africa using Chinese surveillance technologies to spy on political opponents and arrest protesters. Some authors say that some Chinese smart city projects are actually not very effective, but still provide governments with a “security aesthetic”. Research also shows that Chinese smart city technologies have been sold mostly to illiberal regimes. However, in the wider context, there is also ample evidence of non-Chinese surveillance technologies contributing to authoritarian control in developing countries. There is also evidence that UK companies sell surveillance technologies to mostly illiberal regimes. Some reports consulted for this rapid review imply that Chinese surveillance technologies are more likely to be used for authoritarian control than those sold by non-Chinese companies. This analysis is largely based on circumstantial rather than direct evidence. They rely on prior judgements, which are themselves subject to ongoing enquiry in the literature: Almost all of the reports consulted for this rapid review say that the most important factor determining whether governments in developing countries will deploy a particular technology for repressive purposes is the quality of governance in the country. No reports were found in the literature reviewed of Chinese state pressure on developing countries to adopt surveillance technologies, and there were some anecdotal reports of officials in developing countries saying they did not come under any pressure to buy from Chinese companies.

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