Contemporary cities challenge with complex problems. Different aspects of problems can be listed like ecological, demographical, economical or spatial. These problems require smart solutions. Increasing population and urbanization also force us to develop intelligent approaches to create economically, socially and environmentally sustainable cities. It&rsquo / s important that local authorities and planners have to have precise data to take actions against day to day urban problems. Collecting data and turning them in a knowledge are valuable for taking decisions and formulating urban policies. ICT technologies help spatial planners and decision-makers for collecting data and using them for taking agile and smart decisions. These smart solutions can be applied to different domains of cities. This thesis aims at elaborating the smart city concept and its potentials for solving complex urban challenges. A general analysis of world examples and a more profound analysis of a case study, namely Singapore Intelligent Island, have helped understanding the principles and criteria for attaining smartness in cities. The inferences from these analyses can provide a basis for the Turkish context. There are certain policies driven by Ministry of Environment and Urbanism in Turkey. Strategic action plans and legislative regulations can be a base for smart solutions for Turkish context.

International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California / This paper discusses a “Smart Sensor” interface being developed for use in the Boeing Company. Several laboratory groups and Flight Test have joined in a study to define such an interface. It will allow a data acquisition system to record data from a large number of “Smart Sensors”. A single pair of wires will form a bus to interface the sensors to the data system. Most systems will need more than one bus. Some needs exist for "Smart Actuators" as well to allow for closed loop control within the laboratories. The process control industry has developed several candidate busses. The groups are now in the process of evaluating the capabilities of the available busses to see which ones, if any, will do our job. To see if anyone else has similar needs, these requirements and the candidate busses are being shared. The goal is to see if some form of cooperation is possible.

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.

Buildings account for approximately 40% of the energy demand and 33% of the total greenhouse gas emissions in the European Union. Accordingly, there are several efforts that target energy efficiency in buildings both at the European and Swedish levels. The role of buildings in climate change mitigation, however, is not limited to energy savings. Buildings are expected to become key elements of the future smart energy systems by supplying and using energy in a more flexible way. Reducing the energy demand in buildings effectively and shifting the role of buildings in energy systems from ‘passive’ consumers to ‘active’ prosumers, however, require close interaction and cooperation between the energy and buildings sectors. Based on the data collected from interviews and a web survey, this doctoral thesis investigates the relationship between the energy and buildings sectors in Sweden at the inter-company level, presents key stakeholder views on smart energy features in buildings and investigates the opportunities and barriers for their adoption in Sweden and Hong Kong. The results of this thesis suggest a potential for improving the cooperation between the Swedish energy and buildings sectors, which was identified to be influenced by the following factors: district heating monopolies; energy efficiency efforts in the buildings sector; unsuccessful technology-neutrality of the building regulations; self-generation systems in buildings; and energy use patterns. Shifting the focus from self-gains to mutual gains appears crucial to strengthen the inter-sectoral cooperation, as there are several opportunities for achieving mutually beneficial solutions for the two sectors. This would, however, require significant changes in current practices and business models as well as the introduction of new technologies, which would allow for a more flexible energy supply and use. Accordingly, technologies that target flexible energy use in buildings are considered the most important smart energy features in buildings. The current high costs of technologies, such as home automation and smart electrical appliances, however, create the strongest barrier to adoption. Therefore, the introduction of new business and ownership models and the elimination of the institutional and regulatory barriers are crucial to achieve a wide-scale development of smart energy features in buildings. The results from Hong Kong suggest that institutional and regulatory barriers can particularly create strong hinders to the adoption of technologies. It is possible to achieve more sustainable energy systems, where buildings are active elements of networks that supply and use energy in a more flexible and ‘smarter’ way. Cooperation between the energy and buildings sectors can play a key role in the adoption of smart energy features in buildings and pave the way for the smart built environment of the future.

Smart grid is an advanced electrical grid equipped with communication capability which is utilized to improve the efficiency, reliability, and sustainability of electricity services. Countries within Europe, North America and East Asia are undergoing a transformation from an antiquated infrastructure to the smart grid. However, some of problems arise due to the security and privacy issues of smart grid. Since smart meters and a grid operator can interact through its communication channel, there is a possibility that a hacker can hack into the system to steal information or even cut off the electricity service. Moreover, people are protesting and refusing to use smart meter since it enables the grid operator to perform frequent meter reading which unveils the customers¡¦ private energy usage information that could be abused. To cope with the privacy issue, we proposed an enhanced version of aggregation protocol from Garcia-Jacobs protocol where our protocol protects not only customers¡¦ energy consumption information but also the consumption information of a neighborhood. Furthermore, we proposed a novel privacy preserving billing protocol based on Priced Oblivious Transfer (POT) protocol which guarantees the grid operator to get the correct amount of money without knowing the individual energy consumption of the customers. Additionally, we also implement our proposed protocols.

Thesis (Ph. D.)--School of Aerospace, Mechanical and Mechatronic Engineering, Graduate School of Engineering, University of Sydney, 2005. / Bibliography: leaves R1-R20.

Thesis (Ph. D.)--University of Sydney, 2000. / Title from title screen (viewed 27 February 2007). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Department of Aeronautical Engineering. Includes bibliographical references. Also issued in print.

Thesis (Ph. D.)--University of Sydney, 2005. / Title from title screen (viewed 27 May 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Aerospace, Mechanical and Mechatronic Engineering, Graduate School of Engineering. Includes bibliographical references. Also available in print form.

Mode of access: Internet via World Wide Web. Available http://hdl.handle.net/1947/9738. / "November 2008" Includes bibliographical references.

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