Due to climate change issues, fossil fuel depletion and increasing economic pressure, "smart" cities will have significantly altered physical, social and economic systems, built upon smart infrastructure. Key infrastructure is energy, with focus on electricity. The paradigm of physical, data transfer and information flow layers of the smart city power grid is shown. Challenges of the new urban ...

The reduction of wind turbine blade loads is an important issue in the reduction of the costs of energy production. Reduction of the loads of a non-cyclic nature requires so-called smart rotor control, which involves the application of distributed actuators and sensors to provide fast and local changes in aerodynamic performance. This paper investigates the use of synthetic jets for smart rotor...

Every city in the downtown areas around world faces a major problem due to heavy traffic, especially during peak hours. Traditional traffic signals used manging allots fixed time for managing junction of four way or two-way crossroads and cannot adjust account changes traffic. The proposed system provides scheduled crossing that is automatically adjusted based on A long green light assigned usi...

Smart lighting systems in low energy commercial buildings can be expensive to implement and commission. Studies have also shown that only 50% of these systems are used after installation, and those used are not operated at full capacity due to inadequate commissioning and lack of personalization. Wireless sensor networks (WSN) have great potential to enable personalized smart lighting systems f...

An adaptive fuzzy sliding mode controller (AFSMC) is adopted to reduce the 2D flow-induced vibration of an elastically supported square-section cylinder, free to oscillate in stream-wise andtransverse directions in both lock-in and galloping regions. The AFSMC strategy consists of a fuzzy logic inference system intended to follow a sliding-mode controller (SMC), and a robust control syste...

Cloud robotics in smart cities is an emerging paradigm that enables autonomous robotic agents to communicate and collaborate with a cloud computing infrastructure. It complements the Internet of Things (IoT) by creating an expanded network where robots offload data-intensive computation to the ubiquitous cloud to ensure quality of service (QoS). However, offloading for robots is significantly c...