In a Smarter City, available resources are harnessed safely, sustainably and efficiently to achieve positive, measurable economic and societal outcomes. Data (and then information) from people, systems and things is the single most scalable resource available to City stakeholders but difficult to publish, organize, discover and consume, especially in a real-time context. Enabling City informati...

the aim of this study was to investigate national jump roping plan on static and dynamic balance of students. in this study, pretest and posttest were used with two experimental and control groups for male students of fourth grade of elementary school in 2011-2012 in baharestan city (a region in robat karim, tehran). for this purpose, 60 students were selected from students of fourth grade of e...

With the growing popularity of Internet of Things (IoT) and IoT-enabled smart city applications, RDF stream processing (RSP) is gaining increasing attention in the Semantic Web community. As a result, several RSP engines have emerged, which are capable of processing semantically annotated data streams on the fly. Performance, correctness and technical soundness of few existing RSP engines have ...

We study the market partition between two distinct firms that deliver services to waiting-time sensitive customers. In our model, the incoming customers select a firm on the basis of its posted price, the expected waiting time and its brand. More specifically, we quantify by a cost any departure from the ideal brand expected by each incoming customer. Considering that the two underlying queuein...

The results from urban scaling in recent years have held the promise of increased efficiency to the societies who could actively control the distribution of their cities' size. However, little evidence exists as to the factors which influence the level of urban unevenness, as expressed by the slope of the rank-size distribution, partly because the diversity of results found in the literature fo...

In this paper we describe a state lattice based motion planning approach, which we have successfully applied to large, cluttered, but quasi-static environments. Our approach produces smooth and complex maneuvers through the use of a multi-resolution state lattice, where the resolution is adapted based on the environment, and distance from the robot. We also describe a framework for detecting dy...

In this paper, we present an integrated simulation approach featuring centralized and decentralized traffic management in urban areas. Our aim is to improve traffic flows by dynamic traffic management which is supported by vehicular communication interlinking centralized and decentralized decision making. We focus on traffic state estimation and the optimization of traffic lights as a central c...

Managing a city with its different departments, resources and assets can be a challenging problem especially when considering the dynamic events (fire, traffic accidents, 911 calls, road closures, etc. ...) that take place each day. The overall performance of how a city is performing depends on the efficiency of different departments. Taking into account that the needed information resides in t...