Among the smart technologies - smart devices, smart cars, smart homes, smart cities - why has only the smartphone gained worldwide appeal? The aim of this paper is to explore the barriers faced by smart cities and smart homes, and highlight why the two applications of IoT have not gained significant traction despite a decade of promise. Significantly larger in scale than the smart home, the smart city is more constrained by the technical limits of IoT technology due to resource-limited nodes. Therefore this paper will explore the technical hurdles common in the smart city sphere and evaluate potential solutions. On the other side of the spectrum, the use of IoT in the home can be a deeply personal decision. From a business perspective, the smart home market grows increasingly crowded as ambitious entrepreneurs are all looking to claim a piece of an ever-expanding pie. The smart home section will strive to unpack these complex social and business dynamics, suggesting ways to expand and retain a larger user-base.

The primary goal of this research is to help any organization, which is planning to transform to the big data analytics era, by providing a systematic and comprehensive model that this organization can use to better understand what factors influence big data projects. Also, the organization's current status against those factors. Finally, what enhancements are needed in the organization's current capabilities for optimal management of factors influencing an upcoming big data project. However, big data applications are vast and cover many sectors, and while most of the factors influencing big data projects are common across sectors, there are some factors that are related to the specific circumstances of each sector. Therefore, this research will focus on one sector only, which is the smart city sector, and its generalizability to other sectors is discussed at the end of the research. In this research, literature review and experts feedback were used to identify the most critical factors influencing big data projects, with focus on smart city. Then, the HDM methodology was used to elicit experts' judgment to identify the relative importance of those factors. In addition, experts' feedback was used to identify possible statuses an organization might have regarding each factor. Finally, a case study of four projects related to the City of Portland, Oregon, was conducted to demonstrate the practicality and value of the research model. The research findings indicated that there are complicated internal and external, sometimes competing, factors affecting big data projects. The research identified 18 factors as being among the most important factors affecting smart-city-related big data projects. Those factors are grouped into four perspectives: people, technology, legal, and organization. Furthermore, the case study demonstrated how the model could pinpoint shortcomings in a city's capabilities before the project start, and how to address those shortcomings to increase chances of a successful big data project.

abstract: Smart cities are the next wave of rapid expansion of Internet of Things (IoT). A smart city is a designation given to a city that incorporates information and communication technologies (ICT) to enhance the quality and performance of urban services, such as energy, transportation, healthcare, communications, entertainments, education, e-commerce, businesses, city management, and utilities, to reduce resource consumption, wastage and overall costs. The overarching aim of a smart city is to enhance the quality of living for its residents and businesses, through technology. In a large ecosystem, like a smart city, many organizations and companies collaborate with the smart city government to improve the smart city. These entities may need to store and share critical data with each other. A smart city has several thousands of smart devices and sensors deployed across the city. Storing critical data in a secure and scalable manner is an important issue in a smart city. While current cloud-based services, like Splunk and ELK (Elasticsearch-Logstash-Kibana), offer a centralized view and control over the IT operations of these smart devices, it is still prone to insider attacks, data tampering, and rogue administrator problems. In this thesis, we present an approach using blockchain to recovering critical data from unauthorized modifications. We use extensive simulations based on complex adaptive system theory, for evaluation of our approach. Through mathematical proof we proved that the approach always detects an unauthorized modification of critical data. / Dissertation/Thesis / Masters Thesis Computer Science 2017

Yes / The paper examines the level of financial development of initial twenty shortlisted smart cities in India. • Results of the study revealed high inter-state and intra-state inequality as the cities with high FSI values and those with low FSI values are both located in the developed western and southern states. • A similar mixed picture emerges even for the less developed low income states such as Madhya Pradesh. • The study also highlighted large inter-state variations across the smart cities in financial development. • For a holistic approach to smart city development, a vibrant and developed financial sector is required.

Yes / This editorial introduction to this special issue provides an overview and a conceptual framework of governance and economics of smart cities. We begin with a discussion of the background to smart cities and then it focuses on the key challenges for consideration in smart city economics. Here it is argued that there are four dimensions to smart city economics: the first is regarding the scale of global market for smart cities; the second issue concerns data to be used for smart city projects; the third concerns market competition and structure and the fourth concerns the impact on local economy. Likewise, smart city governance framework has to be considered a layered and multi-level concept focusing on issues of transparency and accountability to the citizens.

Yes / Smart cities can help in achieving UN SDG. This research carries out a comprehensive analysis of the role of smart cities on creating sustainable cities and communities, which is one of 17 UN sustainable goals. Current research focuses on number of aspect of sustainable environment such as renewable and green energy, energy efficiency, environmental monitoring, air quality, and water quality. This study provides a valuable synthesis of the relevant literature on smart cities by analysing and discussing the key findings from existing research on issues of smart cities in creating sustainable cities and communities. The findings of this study can provide an informative framework for research on smart cities for academics and practitioners.

Em um cenário atual em que o mundo apresenta ritmos de crescimento populacionais acelerados e consequentes acréscimos de habitantes vivendo em zonas urbanas, deve-se considerar que as cidades apresentam desafios e questões como alto índice de congestionamentos de trânsito, poluição do ar, consumo de recursos naturais, insegurança, etc. Surge-se, neste contexto, o desenvolvimento das chamadas Smart Cities, que são cidades que apresentam iniciativas inteligentes para solucionar ou melhorar a qualidade de vida do cidadão, baseadas em dimensões que envolvem o meio ambiente, governança, economia, mobilidade, pessoas, infraestrutura e tecnologia. A iniciativa escolhida foi a cidade de Amsterdã, mais precisamente a organização ASC (Amsterdam Smart City), que hoje representa, globalmente, um dos principais exemplos de iniciativas de Smart Cities do mundo. O presente estudo busca responder à seguinte questão de pesquisa: Como é estruturada a governança da ASC (Amsterdam Smart City) e como podem ser descritas as experiências vividas em uma smart city? Para responder à questão relacionado à governança, foi utilizado o modelo de redução lógica de governança proposto por Lynn (2000). E como base das unidades de sentido da análise fenomenológica, foi utilizado o Framework Integrativo de Iniciativas de Smart Cities na Amsterdam Smart City proposto por Chourabi et al., (2012). Visando um melhor entendimento buscou-se utilizar uma abordagem qualitativa, tendo como método o estudo de caso. A coleta de dados obteve-se através de entrevistas semiestruturadas para duas pessoas com amplo conhecimento da organização. E, para a análise fenomenológica, uma entrevista semiestruturada teve como base, porém foi utilizada uma narrativa descritiva do próprio autor a partir de suas próprias experiências vividas na cidade. Os resultados demonstrados no presente estudo refletem a importância de um olhar mais abrangente para o desenvolvimento de cidades inteligentes que não só a tecnologia a ser aplicada. Uma governança inteligente é tão importante quanto a tecnologia, pois molda e viabiliza os projetos, cria parcerias essenciais, estrutura e operacionaliza as iniciativas e realiza um papel importante na gestão municipal de mudança de paradigmas e cultura direcionada para a inovação. / In the current scenario, in which the world faces accelerated population growth rates and consequent increases in the number of inhabitants living in urban areas, it must be considered that cities present challenges and issues such as high traffic congestion levels, air pollution, high resource consumption, insecurity, etc. In this context, the development of the so-called Smart Cities, which are cities that present intelligent initiatives to solve or improve citizens\' quality of life, are based on dimensions that involve the environment, governance, economy, mobility, community, infrastructure and technology. The initiative chosen was the city of Amsterdam, more precisely the organization ASC (Amsterdam Smart City), which today represents, globally, one of the main examples of Smart Cities initiatives in the world. The present study aims to answer the following research question: How is the governance of the Amsterdam Smart City structured and how can be described the smart city life experiences? Regarding the governance matter, the logic reduction model of governance proposed by Lynn (2000) was used. And as a basis for the units of meaning of the phenomenological analysis, the Integrative Framework of Smart Cities Initiatives in the Amsterdam Smart City proposed by Chourabi et al. (2012) was taken as ground basis. Targeting a better understanding, a qualitative approach was applied in a case study methodology. The data collection was obtained through semi-structured interviews with two people containing deep knowledge of the organization. And, for the phenomenological analysis, a semi-structured interview was used as basic step, however a descriptive narrative of the author himself was also used based on his own experiences lived in the city. The outcomes shown in the present study reflect the importance of a broader look for the development of smart cities that are not just technology based. Intelligent governance is as important as technology, as it shapes and enables projects, creates essential partnerships, structures and operationalizes initiatives, and plays an important role in municipal management of paradigm shift and innovation-driven culture.

Em um cenário atual em que o mundo apresenta ritmos de crescimento populacionais acelerados e consequentes acréscimos de habitantes vivendo em zonas urbanas, deve-se considerar que as cidades apresentam desafios e questões como alto índice de congestionamentos de trânsito, poluição do ar, consumo de recursos naturais, insegurança, etc. Surge-se, neste contexto, o desenvolvimento das chamadas Smart Cities, que são cidades que apresentam iniciativas inteligentes para solucionar ou melhorar a qualidade de vida do cidadão, baseadas em dimensões que envolvem o meio ambiente, governança, economia, mobilidade, pessoas, infraestrutura e tecnologia. A iniciativa escolhida foi a cidade de Amsterdã, mais precisamente a organização ASC (Amsterdam Smart City), que hoje representa, globalmente, um dos principais exemplos de iniciativas de Smart Cities do mundo. O presente estudo busca responder à seguinte questão de pesquisa: Como é estruturada a governança da ASC (Amsterdam Smart City) e como podem ser descritas as experiências vividas em uma smart city? Para responder à questão relacionado à governança, foi utilizado o modelo de redução lógica de governança proposto por Lynn (2000). E como base das unidades de sentido da análise fenomenológica, foi utilizado o Framework Integrativo de Iniciativas de Smart Cities na Amsterdam Smart City proposto por Chourabi et al., (2012). Visando um melhor entendimento buscou-se utilizar uma abordagem qualitativa, tendo como método o estudo de caso. A coleta de dados obteve-se através de entrevistas semiestruturadas para duas pessoas com amplo conhecimento da organização. E, para a análise fenomenológica, uma entrevista semiestruturada teve como base, porém foi utilizada uma narrativa descritiva do próprio autor a partir de suas próprias experiências vividas na cidade. Os resultados demonstrados no presente estudo refletem a importância de um olhar mais abrangente para o desenvolvimento de cidades inteligentes que não só a tecnologia a ser aplicada. Uma governança inteligente é tão importante quanto a tecnologia, pois molda e viabiliza os projetos, cria parcerias essenciais, estrutura e operacionaliza as iniciativas e realiza um papel importante na gestão municipal de mudança de paradigmas e cultura direcionada para a inovação. / In the current scenario, in which the world faces accelerated population growth rates and consequent increases in the number of inhabitants living in urban areas, it must be considered that cities present challenges and issues such as high traffic congestion levels, air pollution, high resource consumption, insecurity, etc. In this context, the development of the so-called Smart Cities, which are cities that present intelligent initiatives to solve or improve citizens\' quality of life, are based on dimensions that involve the environment, governance, economy, mobility, community, infrastructure and technology. The initiative chosen was the city of Amsterdam, more precisely the organization ASC (Amsterdam Smart City), which today represents, globally, one of the main examples of Smart Cities initiatives in the world. The present study aims to answer the following research question: How is the governance of the Amsterdam Smart City structured and how can be described the smart city life experiences? Regarding the governance matter, the logic reduction model of governance proposed by Lynn (2000) was used. And as a basis for the units of meaning of the phenomenological analysis, the Integrative Framework of Smart Cities Initiatives in the Amsterdam Smart City proposed by Chourabi et al. (2012) was taken as ground basis. Targeting a better understanding, a qualitative approach was applied in a case study methodology. The data collection was obtained through semi-structured interviews with two people containing deep knowledge of the organization. And, for the phenomenological analysis, a semi-structured interview was used as basic step, however a descriptive narrative of the author himself was also used based on his own experiences lived in the city. The outcomes shown in the present study reflect the importance of a broader look for the development of smart cities that are not just technology based. Intelligent governance is as important as technology, as it shapes and enables projects, creates essential partnerships, structures and operationalizes initiatives, and plays an important role in municipal management of paradigm shift and innovation-driven culture.

This thesis aims to utilize data analysis and predictive modeling techniques and apply them in different domains for gaining insights. The topics were chosen keeping the same in mind. Analysis of customer interests is a crucial factor in present marketing trends and hence we worked on twitter data which is a significant part of digital marketing. Neuroscience, especially psychological behavior, is an important research area. We chose eye tracking data based on which we differentiated human concentration while watching controllable (video game) videos and uncontrollable (sports) videos. Currently, cities are using data analysis for becoming smart cities. We worked on the City of Lewisville emergency services data and predicted the vehicle-accident-prone areas for development of precautionary measures in those areas.

Yes / This article aims to assess critically different definitions and indicators of smart cities. Drawing on exemplary case studies, the author proposes a typology of four categories of smart cities: type A are the world leaders who pioneer ideas not predicated on smart city projects; type B are aspirational cities punching above their weight; type C are surprise transformers that use the smart city concept to propel real transformation; and type D are cases where smart city projects do not directly address the main urban problems. The discussion highlights the need to prevent ‘smart-wash’ by avoiding superficial technological solutions that chase symptoms but not causes of some of the complex urban challenges that they are intending to address. In conclusion, the author considers the public policy implications of applying these typologies to cities in general with particular reference to the Global South / British Academy: [grant number IPM 15008]