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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Shape from focus technique can be used in the computer monocular vision, which is widely applied in the smart transportation. In this study, we proposed a novel directional statistics based focus measure for shape from focus computation. We first compute the standard deviation σ and the mean value μ in the directional neighborhood. Then use the σ/μ as the focus measure to estimate the shape. The proposed...
The collaborative recommendation mechanism is beneficial for the subject in an open network to find efficiently enough referrers who directly interacted with the object and obtain their trust data. The uncertainty analysis to the collected trust data selects the reliable trust data of trustworthy referrers, and then calculates the statistical trust value on certain reliability for any object. After...
Most of the existing algorithm of objective image quality evaluation are often for a single type of distortion, and the effect of multi-distortion image quality evaluation is poor, In this paper presents a no reference image quality assessment method based on phase congruency and convolution neural network, to evaluate the mixed distorted image, Firstly, the input image is divided into blocks and...
This paper mainly introduces an image quality assessment for stereoscopic images via Convolutional Neural Networks (CNN). Firstly, the left and the right view images of a stereoscopic image need to be fused in the way of Principal Component Analysis (PCA). Secondly, method of Mean Subtraction and Contrast Normalization (MSCN) is applied in the fusion images. Finally, taking non-overlapping small patches...
In this fast developing world, the number of motor vehicles is increasing rapidly but road resources remain limited, causing severe congestion problem of city traffic. In order to predict short-term traffic condition accurately, we propose a short-term traffic condition prediction method for urban road network based on improved support vector machine. As outliers inevitably exist in collected traffic...
Real-time people counting from video records is a main building bloc for many applications in smart cities. In practice, this task usually encounters many problems, like the lack of real-time processing of the recorded videos or the occurrence of errors due to irrelevant people being counted. To overcome the above issues, we propose a novel real-time people counting approach dubbed YOLO-PC (YOLO based...
Image co-segmentation is the problem of extracting the common objects from multiple images. Foreground segmentation is always effected by the diverse objects and complex background. However, the existing methods didn't pay much attention to images' background as object, especially the similar background. To address the similar scene co-segmentation problems, a method which considers the foreground...
Taxi has become an important component of public transportation system. A proper cabstand location can alleviate the traffic pressure. In this paper, a large set of global positioning system (GPS) data of taxi in Jinan City is employed to help locating the cabstand. By analyzing more than 300 million taxi driving data in Jinan, Shandong Province, the parallel K- means algorithm is applied on the cluster...
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...
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...
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...
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...
Nowadays, in this digital world, one of the biggest concerns for business and many other public entities, is to know precisely the “identity” of the users that are behind of their systems. Since the data can define a person, there have been many tries to develop technology to determine accurately who the users are and certify their basics attributes like name, address, credit record, as well as other...
This paper describes an embedded platform for multiple and cross domain applications in intelligent buildings. The platform is called BASIS: Building Automation by a Scalable and Intelligent System. It is a distributed embedded system with a large number of nodes as part of the building. This integrated low-power system is based on dependable long-living hardware and system software. Software isolation...
For safety and reliability of self-driving cars, their control system must use the relative velocity of vehicles. The relative velocity can be estimated by differentiating the measured distance between cars with respect to time. However, inevitable measurement noise in the distance measurements will be amplified by the derivative operation. In this paper, we provide, as an alternative, a time-to-contact...
Concept factorization has attracted much attention in the past few years. To consider the manifold structure embedded in data, the graph regularizer is incorporated into model of concept factorization. However, a single graph cannot effectively model the intrinsic structure information of data. To solve this problem, a novel method, called Structured Discriminative Concept Factorization (SDCF), is...
With the urban transport system has been unable to keep up with the rapid growth of travel needs, many urban traffic network run in a state beyond the ability. Traffic congestion has seriously affected the normal operation of the bus. The urban bus signal priority technology can make full use of the existing transport infrastructure, integration of people travel mode, effective mitigation of urban...
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