scholarly journals Strategi Transisi Kabupaten Purworejo dari E-Government menuju Smart City

2019 ◽  
Vol 2 (3) ◽  
pp. 186-193
Author(s):  
Murhadi Murhadi ◽  
Hamid M. Jumasa
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Transition Process ◽  
Development Plan ◽  
Smart Environment ◽  
Medium Term ◽  
Implementation Plan ◽  
City Model ◽  
City System ◽  
Cyber City

Starting in 2018 Purworejo district will implement governance by following the smart city system. Purworejo Government has been very serious about the planning and implementation plan of smart cities in Purworejo Regency. In the Regional Medium-Term Development Plan (RPJMD) 2016-2021, which still projects e-government based governance, there is the term cyber city to support the implementation of more effective and efficient city governance. The transition process from e-government to smart city needs to be pursued so that the planning contained in the RPJMD can work in synergy with the Garuda Smart City Model (GSCM) adopted by Purworejo district. The transition method used is to link the programs contained in the RPJMD with the service domain, namely smart economy, smart society, and smart environment.

Using a distributed deep learning algorithm for analyzing big data in smart cities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Anouar Naoui ◽  
Brahim Lejdel ◽  
Mouloud Ayad ◽  
Abdelfattah Amamra ◽  
Okba kazar
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Data Analysis ◽  
Data Storage ◽  
Smart City ◽  
Smart Cities ◽  
Smart Environment ◽  
Data Systems ◽  
Content Type ◽  
Big Data Systems

PurposeThe purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.Design/methodology/approachWe have proposed an architectural multilayer to describe the distributed deep learning for smart cities in big data systems. The components of our system are Smart city layer, big data layer, and deep learning layer. The Smart city layer responsible for the question of Smart city components, its Internet of things, sensors and effectors, and its integration in the system, big data layer concerns data characteristics 10, and its distribution over the system. The deep learning layer is the model of our system. It is responsible for data analysis.FindingsWe apply our proposed architecture in a Smart environment and Smart energy. 10; In a Smart environment, we study the Toluene forecasting in Madrid Smart city. For Smart energy, we study wind energy foresting in Australia. Our proposed architecture can reduce the time of execution and improve the deep learning model, such as Long Term Short Memory10;.Research limitations/implicationsThis research needs the application of other deep learning models, such as convolution neuronal network and autoencoder.Practical implicationsFindings of the research will be helpful in Smart city architecture. It can provide a clear view into a Smart city, data storage, and data analysis. The 10; Toluene forecasting in a Smart environment can help the decision-maker to ensure environmental safety. The Smart energy of our proposed model can give a clear prediction of power generation.Originality/valueThe findings of this study are expected to contribute valuable information to decision-makers for a better understanding of the key to Smart city architecture. Its relation with data storage, processing, and data analysis.

scholarly journals A Unified Smart City Model (USCM) for Smart City Conceptualization and Benchmarking

2016 ◽  
Vol 12 (2) ◽  
pp. 77-93 ◽  
Author(s):  
Leonidas Anthopoulos ◽  
Marijn Janssen ◽  
Vishanth Weerakkody
Keyword(s):  
Health Education ◽  
Smart City ◽  
Smart Cities ◽  
Policy Impact ◽  
Future Research ◽  
Management Architecture ◽  
The World ◽  
City Model ◽  
And Control ◽  
Urban Characteristics

Smart cities have attracted an extensive and emerging interest from both science and industry with an increasing number of international examples emerging from all over the world. However, despite the significant role that smart cities can play to deal with recent urban challenges, the concept has been being criticized for not being able to realize its potential and for being a vendor hype. This paper reviews different conceptualization, benchmarks and evaluations of the smart city concept. Eight different classes of smart city conceptualization models have been discovered, which structure the unified conceptualization model and concern smart city facilities (i.e., energy, water, IoT etc.), services (i.e., health, education etc.), governance, planning and management, architecture, data and people. Benchmarking though is still ambiguous and different perspectives are followed by the researchers that measure -and recently monitor- various factors, which somehow exceed typical technological or urban characteristics. This can be attributed to the broadness of the smart city concept. This paper sheds light to parameters that can be measured and controlled in an attempt to improve smart city potential and leaves space for corresponding future research. More specifically, smart city progress, local capacity, vulnerabilities for resilience and policy impact are only some of the variants that scholars pay attention to measure and control.

scholarly journals Smart City as A Tools to Achieve Sustainability City

2019 ◽  
Vol 5 (2) ◽  
pp. 1-13
Author(s):  
Helen Dian Fridayani ◽  
Rifaid Rifaid
Keyword(s):  
Smart City ◽  
Open Space ◽  
Smart Cities ◽  
Smart Environment ◽  
Sustainable City ◽  
Co2 Gas ◽  
The Government ◽  
And Behavior ◽  
The Impact ◽  
Smart Government

Sustainable city is a city that designed by considering the impact on the environment, inhabited by population with a number and behavior that requires minimal support for energy, water and food from the outside, and produces less CO2, gas, air and water pollution. Moreover the national government envisions Indonesia2030which shallimplement the smart city towards sustainable development.Especially in Sleman Regency, the government is committed to make Sleman Regency as a Smart Regency in 2021. It could be shown in the vision of Sleman Regency which is The realization of a more prosperous Sleman community, Independent, Cultured and Integratede-governmentsystem to the Smart Regency in 2021”. This paper would like to analyze how the Sleman Regency implement the Smart city concept, and does the smart city concept can achive the sustainability city. The research uses the qualitative approach with in-deepth interview in examining the data, also the literature review. The result in this study reveals the following: firstly, from 2016-2019 Sleman regency has several applications to support the smart city implementation such as One Data of UMKM, Home Creative Sleman, Lapor Sleman app, Sleman Smart app, online tax app, e-patient, sleman emergency service, and Sleman smart room. Second, there are many elements in smart cities that are very important for smart government, smart life, smart economy, smart society, and smart environment. However, in supporting to support the realization of smart cities, not all aspects must be implemented properly to achieve a managed city, components related to smart environment cannot be implemented properly in Sleman Regency. There are still many problems regarding environmental problems such as the development of the construction of hotels and apartments that do not heed the environment, incrasing the populations, the limitations of green open space.

scholarly journals Smart City as a Model for Sustainable Development of Territories

2021 ◽  
Vol 110 ◽  
pp. 05003
Author(s):  
Konstantin Semyachkov
Keyword(s):  
Sustainable Development ◽  
Urban Environment ◽  
Smart City ◽  
Large Scale ◽  
Smart Cities ◽  
Digital Technologies ◽  
Economic Systems ◽  
The Sustainable Development ◽  
City Model ◽  
The Impact

The article examines the impact of digital technologies on the sustainable development of ecological and economic systems. The main aspects that make the development of digital technologies especially relevant for environmental modernization and sustainable development are analyzed. It is shown that the large-scale use of digital technologies contributes to the development of new tools, models and methods of urban management. One of the promising areas for the development of the urban environment in these conditions is the concept of a smart city. Based on the analysis of research on the topic of smart cities, the effects of the use of the smart city model for the formation of the foundations of sustainable development of territories are noted.

scholarly journals Multiscale Modeling in Smart Cities: A Survey on applications, Current Trends, and Challenges

2021 ◽  
Author(s):  
Asif Khan ◽  
Khursheed Aurangzeb ◽  
Sheraz Aslam ◽  
Musaed Alhussein
Keyword(s):  
Multiscale Modeling ◽  
Complex Adaptive Systems ◽  
Smart City ◽  
Adaptive Systems ◽  
Complex Adaptive System ◽  
Smart Cities ◽  
Health Issues ◽  
Complex Adaptive ◽  
Key Issues ◽  
City Model

Megacities are complex systems facing the challenges of overpopulation, poor urban design and planning, poor mobility and public transport, poor governance, climate change issues, poor sewerage and water infrastructure, waste and health issues, and unemployment. Smart cities have emerged to address these challenges by making the best use of space and resources for the benefit of citizens. A smart city model views the city as a complex adaptive system consisting of services, resources, and citizens that learn through interaction and change in both the spatial and temporal domains. The characteristics of dynamic development and complexity are key issues for city planners that require a new systematic and modeling approach. Multiscale modeling (MM) is an approach that can be used to better understand complex adaptive systems. The MM aims to solve complex problems at different scales, i.e., micro, meso, and macro, to improve system efficiency and mitigate computational complexity and cost. In this paper, we present an overview of MM in smart cities. First, this study discusses megacities, their current challenges, and their emergence to smart cities. Then, we discuss the need of MM in smart cities and its emerging applications. Finally, the study highlights current challenges and future directions related to MM in smart cities, which provide a roadmap for the optimized operation of smart city systems.

scholarly journals Smart Universities Walk the Talk of Commitment

2017 ◽  
Vol 7 (9) ◽  
Author(s):  
EVERARD VAN KEMENADE
Keyword(s):  
Information Technology ◽  
Paradigm Shift ◽  
Smart Cities ◽  
First Century ◽  
Smart Environment ◽  
City Model ◽  
Smart Mobility ◽  
Smart Governance ◽  
The University ◽  
Model C

Twenty first century cities encounter many problems regarding transportation, governance, information technology, environment, resources. Smart cities are needed and already booming all over the world. The concept of Smart Cities needs to be defined. The Smart City model by Giffinger et al (2007) is useful in this respect. It discerns six topics: smart living, smart governance, smart economy, smart mobility, smart environment and smart people. This article focuses on the consequences of smart cities for universities. They can teach their students specific competences in e.g. Information Technology, Urbanisation, Smart Cities and Sustainability. They can do research in such areas. But: "The centrality of "žsmart citizens"Ÿ, rather than "žsmart cities"Ÿ, can be easily overlooked." (Slovava and Okwechime, 2016). Smart Cities can only function, if their citizen become smart. For universities that means teaching general competences to all students like problem solving, creativity, flexibility and critical thinking. Crucial is knowledge and skills regarding sustainability. For that matter, the university will need to be an example to be credible. Actually, universities need a paradigm shift: from control and continuous improvement to commitment, a preliminary stage to real breakthrough. The stage the university is in can be measured with the Emergency Model (c) (Van Kemenade, 2017). The instrument can also point out what still needs to be done to achieve the breakthrough that is needed for universities in times of Smart Cities.

scholarly journals Smart Tourism as a Pillar for Sustainable Urban Development: An Alternate Smart City Strategy from Mauritius

Smart Cities ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 153-162 ◽  
Author(s):  
Yeshna Jessie Dabeedooal ◽  
Vickramsingh Dindoyal ◽  
Zaheer Allam ◽  
David S. Jones
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Sustainable Urban Development ◽  
Small Island ◽  
Economic Potential ◽  
Policy Makers ◽  
City Model ◽  
The City ◽  
Smart Tourism ◽  
New Framework

Mauritius, a small island developing state (SIDS), has an approved government-issued smart city framework geared at facilitating the development of smart cities through an application of Internet of things. In an attempt to move away from privately-operated urban developments in the form of newly built smart cities, an alternate framework has been proposed by Allam and Newman to redefine this timely concept for existing cities with the main dimensions being metabolism, culture, and governance. This new framework focuses on liveability and sustainability that builds on the cultural and historical dimensions of existing cities. This study adds to the redefined smart city paradigm by proposing a new pillar in the form of smart tourism for the city of Port Louis, Mauritius. This paper reviews models of smart tourism and explores how this can be grafted to the Allam and Newman’s smart city model. The findings of this study seek to inform policy makers on alternate and the more relevant economic potential of smart tourism for the city of Port Louis.

Virtual and Augmented Reality for the Visualization of Summarized Information in Smart Cities

2020 ◽  
pp. 299-325
Author(s):  
Sergio Casas ◽  
Jesús Gimeno ◽  
Pablo Casanova-Salas ◽  
José V. Riera ◽  
Cristina Portalés
Keyword(s):  
Augmented Reality ◽  
Smart City ◽  
Smart Cities ◽  
Use Case ◽  
Mapping Procedure ◽  
Technical Details ◽  
Virtual And Augmented Reality ◽  
City System ◽  
3D Methods ◽  
The City

In this chapter, authors deal with the problem of visualizing summarized information in a complex system like a smart city. They introduce the topic of smart city in the context of the information revolution that is taking place in the world. Next, they review how this information can be visualized, highlighting immersive 3D methods such as Virtual Reality (VR) and Augmented Reality (AR), which are particularly suitable for these applications, since 2D information does not usually induce a focused and sustained attention. The chapter describes and shows a use case in which VR and Spatial AR (SAR) are used in a smart city system to visualize summarized information about the state and management of the city. The SAR system relies on a multi-projector mapping procedure, and therefore authors also explain the technical details that the calibration and implementation of this type of AR application requires.

scholarly journals Exploring the influence of big data on city transport operations: a Markovian approach

2017 ◽  
Vol 37 (1) ◽  
pp. 75-104 ◽  
Author(s):  
Rashid Mehmood ◽  
Royston Meriton ◽  
Gary Graham ◽  
Patrick Hennelly ◽  
Mukesh Kumar
Keyword(s):  
Big Data ◽  
Markov Model ◽  
Absorptive Capacity ◽  
Smart City ◽  
Smart Cities ◽  
Theoretical Framework ◽  
Social Implications ◽  
Content Type ◽  
Depth Analysis ◽  
City System

Purpose The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is: how could big data transform smart city transport operations? In answering this question the authors present initial results from a Markov study. However the authors also suggest caution in the transformation potential of big data and highlight the risks of city and organizational adoption. A theoretical framework is presented together with an associated scenario which guides the development of a Markov model. Design/methodology/approach A model with several scenarios is developed to explore a theoretical framework focussed on matching the transport demands (of people and freight mobility) with city transport service provision using big data. This model was designed to illustrate how sharing transport load (and capacity) in a smart city can improve efficiencies in meeting demand for city services. Findings This modelling study is an initial preliminary stage of the investigation in how big data could be used to redefine and enable new operational models. The study provides new understanding about load sharing and optimization in a smart city context. Basically the authors demonstrate how big data could be used to improve transport efficiency and lower externalities in a smart city. Further how improvement could take place by having a car free city environment, autonomous vehicles and shared resource capacity among providers. Research limitations/implications The research relied on a Markov model and the numerical solution of its steady state probabilities vector to illustrate the transformation of transport operations management (OM) in the future city context. More in depth analysis and more discrete modelling are clearly needed to assist in the implementation of big data initiatives and facilitate new innovations in OM. The work complements and extends that of Setia and Patel (2013), who theoretically link together information system design to operation absorptive capacity capabilities. Practical implications The study implies that transport operations would actually need to be re-organized so as to deal with lowering CO2 footprint. The logistic aspects could be seen as a move from individual firms optimizing their own transportation supply to a shared collaborative load and resourced system. Such ideas are radical changes driven by, or leading to more decentralized rather than having centralized transport solutions (Caplice, 2013). Social implications The growth of cities and urban areas in the twenty-first century has put more pressure on resources and conditions of urban life. This paper is an initial first step in building theory, knowledge and critical understanding of the social implications being posed by the growth in cities and the role that big data and smart cities could play in developing a resilient and sustainable transport city system. Originality/value Despite the importance of OM to big data implementation, for both practitioners and researchers, we have yet to see a systematic analysis of its implementation and its absorptive capacity contribution to building capabilities, at either city system or organizational levels. As such the Markov model makes a preliminary contribution to the literature integrating big data capabilities with OM capabilities and the resulting improvements in system absorptive capacity.

scholarly journals A Novel Smart City using IoT and Open Source Technology

2019 ◽  
Vol 8 (6) ◽  
pp. 4633-4637
Keyword(s):  
Open Source ◽  
Smart City ◽  
Smart Home ◽  
Smart Cities ◽  
Home Automation ◽  
Smart Environment ◽  
Environment Monitoring ◽  
The People ◽  
Smart Parking ◽  
Smart Agriculture

Through IoT the cities are envisioned into smart cities. The IoT technology is deployed essentially in prevalence of all the applications and is playing a compelling role in day to day liveliness. The Smart cities integrated with the IoT technology can intensify to unravel the contention of the people. The considerable issues in the cities such as smart home automation, smart parking, smart agriculture, smart street lights and smart environment monitoring are addressed in this article. The smart city is refined with the open source technology. The information accumulated from peculiar devices and sensors is received to the Thing speak server and the representatives will visualize the data and engage in required action to take place. The prime aspiration of this article is to emphasize the obstacles in the smart cities. The features of the smart city are enhanced and give a provision to utilize IoT technology

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