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Differentiating posed expressions from spontaneous ones is a more challenging task than conventional facial expression recognition. There are many methods proposed to differentiate posed and spontaneous expressions based on pixel level information. However, these methods still have some limitations : (1) Most of the studies use the difference between onset (the early stages of an expression) and apex...
A grade crossing is defined as an intersection between a roadway and a railway at the same elevation or grade. Multiple new prevention measures have been implemented to reduce the number of train-vehicle collisions; however, crossing safety is still a major issue as accidents still frequently occur. The push for data-driven models to evaluate risks at grade crossings has also increased to keep up...
This paper presents the design and implementation of a programming on cloud course. Teaching programming on cloud embraces topics of the cloud service model, architectural patterns, REST APIs, data models, schema free databases, the MapReduce paradigm and quality of services such as scalability, availability and security. The design of this programming course focuses on the breadth of the essential...
Recent years have seen a rapid growth of location-aware applications such as targeted marketing, restricted content delivery and location-based security check. Although existing delay-based IP geolocation techniques work well in some developed countries, the assumption of a strong delay-distance correlation that they often rely on may fail in many developing countries for poor network connectivity...
The configuration mechanism of IEC 61850 communication services brings convenience to information exchange and may also present the problem if configuration information of Intelligent Electronic Devices (IEDs) which belongs to different substations is separately updated. As a possible solution to this problem, the surveillance and synchronization system is presented based on control block services...
As large-scale multivariate time series data become increasingly common in application domains, such as health care and traffic analysis, researchers are challenged to build efficient tools to analyze it and provide useful insights. Similarity search, as a basic operator for many machine learning and data mining algorithms, has been extensively studied before, leading to several efficient solutions...
With the growing volume of the airport passengers, public transit is needed for healthy and sustainable city development, in which airport shuttle buses play a key role in satisfying the demand. In this paper, a two-phase airport shuttle bus stop planning method is proposed based on taxi GPS data. It aims at providing convenient public transit to the airport by identifying optimal airport shuttle...
In this paper, we describe the basic concepts of multidimensional sets and multidimensional association rules, and propose a improved algorithm of association rule mining based on multidimensional sets. This algorithm can find out the maximal frequent item sets of each dimensional subset, and at the same time pruning the database, this can substantially reduce the workload of the subsequent mining...
This paper presents a weighted support vector machine (WSVM) based on association rules for two-class classification problems. The basic idea of the WSVM is to assign different weights to different data points to minimize impacts of outliers. In this paper, we apply association rules to generate weights to prevent bias to the majority class for imbalanced binary classification problems. Experimental...
As the smart grid becomes reality, software architectures for integrating legacy systems with new innovative approaches for grid management are needed. These architectures must exhibit flexibility, extensibility, interoperability and scalability. In this position paper, we describe our preliminary work to design such an architecture, known as GridOPTICS, that will enable the deployment and integration...
Security plays a large role in e-commerce application system, the physical layer structure, anti-SQL injection, RBAC, password policy are important aspects of E-commerce application system security policy which will be analyzed in this paper.
Most of the present Car Navigation systems are usually update data off-line, which does not satisfy the high verisimilitude requirements in Navigation Electronic Map applied in vehicle navigation and some advanced driver assistance systems. Based on this problem, this paper presents the Static and Dynamic Incremental Data-Update model for Navigation Electronic Map. With the resources-saving, this...
This brief paper presents a unified framework for tensor-based dimensionality reduction (DR) with a new tensor distance (TD) metric and a novel multilinear locality-preserved maximum information embedding (MLPMIE) algorithm. Different from traditional Euclidean distance, which is constrained by the orthogonality assumption, TD measures the distance between data points by considering the relationships...
This paper proposes a novel tensor based dimensionality reduction algorithm called Multilinear Isometric Embedding (MIE) based on a representative manifold learning algorithm Isomap. Unlike Isomap that unfolds input data to the vector form, MIE directly works on more general tensor representation and utilizes iterative strategy to seek the low-dimensional equivalence, which best preserves the global...
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector set with a Gaussian mixture model (GMM) and to compute a probabilistic measure of similarity between the GMMs. The main contribution of this paper is to model each vector set with a GMM adapted from a common ldquouniversalrdquo...
This paper presented the design and implement of snapshots device driver in Linux. Our implement was carried out at the block level as the device driver. It is available to all file systems and databases. We used industry standard benchmark to measure the performance and uncovered many important performance characteristics.
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