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Discretionary permits over territory and anachronistic planning opened doors for corruption and territorial management disorder in Guadalajara municipality. The city government is to create the first platform in Latin America to integrate user orientation, application of standards for the development of the city and citizen participation, encouraging them to participate in the management of their...
Stock market prediction has attracted a lot of attention from both business and academia. In this paper, we implement a model based on Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) to predict the stock volatility in the Chinese stock market. We also propose many price related features which are used as inputs for our model. Apart from that, we carefully select official accounts...
The hyper-parameter optimization of machine learning model is not a completely solved problem. The exquisite combination of artificial tuning and grid search may be a good choice in the area where the dimension of hyper-parameters is very low. But for high-dimensional hyper-parameter optimization problems, artificial tuning and grid search are obviously helpless. In this paper, we propose a quantum...
For the sustainable development of smart cities across the globe, energy efficiency is becoming a major factor to the maintenance and planning of buildings. In order to demonstrate the potential of data driven approaches in understanding building energy usage, we conduct a data analysis study based on a 10-year data set from 361 buildings of a university campus that are equipped with 1951 smart meters...
Objectives: The Internet of Things (IoT) is an emerging technology, which appears tantalizing in the healthcare domain. Governments encourage smart city initiatives to explore its applications. To determine knowledge, attitudes and practices of healthcare institutions toward IoT applications it is very important to objectively understand effects, to systematically summarize experiences, risks and...
Same frequency networking (SFN) technology is widely used in modern wireless network to achieve high area spectrum efficiency. However, it brings the inter-cell interference to the users at the cell edge. Frequency allocation and power control is extensively used to diminish the effect of the interference. Most of the researches are focus on the downlink data transmission due to the fact that the...
Usually the static or dynamic characteristics of the flame are extracted for flame detection. But the relationship between the various features of flame could not be distinguished by the human eye. the Gradient Boost Decision Tree (GBDT) is thus proposed to combine and optimize the flame shape and texture features, so as to mine the relationship of flame features. Then the more discriminant new flame...
We introduce our research project aimed at developing a last-mile public transportation system with autonomous vehicles. In particular, we focus attention on traffic control techniques. Our vehicles can form fleets of autonomous vehicles, each of which consists of a lead vehicle driven manually and some driverless vehicles running behind another vehicle. In our system, the transport requests of all...
This paper discuss the resource efficiency evaluation in complex network system. By using network DEA theory, we proposes a network DEA model that embodies the internal network structure for complex production efficiency evaluation. A sufficient condition for a complex production to be input efficient is discussed. Furthermore, by using the network DEA model, we investigate the internal resource waste...
This paper proposes a novel unit commitment (UC) model under smart grid (SG) environment, which intends to strike a balance pursuing minimum carbon emissions for policy maker, minimum costs for generators and minimum payment bills for consumers. This leads to a multiobjective optimization problem (MOP) which can be solved through the multiobjective immune algorithm (MOIA). Therefore, the energy market...
Plug-in electric vehicles (PEVs) are receiving global attention. However, the integration of large-scale PEVs brings challenge to the existing power system. Therefore, it is necessary to develop a coordinated charging strategy for PEVs. In this paper, based on aggregate PEV charging load model, we propose a coordinated charging strategy for multiple stations in the distribution network, which aims...
One of the main issues to be handled in today's cities is related to public safety, which can be improved by implementing the smart city concept. Despite its relevance as means of achieving societal well-being, smart public security has not been much targeted by technological solutions developed to smart cities. In this paper, we introduce Safe Citizen, a mobile application relying on citizens' engagement...
Aggregated Electric Water Heaters (EWHs) are ideal candidates for demand response (DR) resources considering that EWHs account for a huge percentage of energy consumption among all the home appliances and their heat storage capability. Power system reliability could be affected by the power consumption pattern of massive households. In this paper, a Binary Particle Swarm Optimization (BPSO) algorithm...
In this study, we propose a novel shape-based traffic sign detection method which consists of two stages. First, a rotational symmetry voting scheme is proposed to detect the centers and boundary sets of the candidate polygons in the image. Second, a Link Distribution (LD) model, which considers a polygon as the collection of links between center and boundary points, is proposed to refine the detection...
With the building of the energy Internet of Things (IoT), the establishment of a private network dedicated to the control and management of the grid to provide reliable and secure power services is attracting more and more attention. Meanwhile, owing to the rapid development of wireless wideband communication technologies, today's wireless communications are increasingly considered by power communication...
Smart City has been envisioned as one vital solution for developing cities around the world to improve living quality of cities. In spite of different definitions of Smart City, one essential element in Smart City is smart transport or smart mobility. How to improve transport through future technologies is an important issue in developing smart cities. In this study, a smart city framework for Chiayi...
Vehicular communications are gaining one of the largest share of the automotive IoT market. The combination of the automotive sector with the transportation resulted in the emergence of the concept of connected vehicles. Therefore, motivating new proposals for real-time applications for managing traffic and incident alerts to improve the overall mobility and road safety. The growing demand for new...
Traffic behavioral monitoring within urban intersections is an essential issue in the Intelligent Transportation Systems (ITS) for a smart city. This paper investigates on gathering traffic information within an urban intersection where accidents frequently occur. In this paper, traffic pattern modeling, trajectory classification and a real-time vehicle tracker within the urban intersection are proposed...
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