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Address space randomization is an attractive way to counter against code-reuse attack. However, traditional Address Space Layout Randomization (ASLR) just randomizes the base address of a binary, whose relative address is not changed. So attackers can still use the fixed relative address to construct gadgets needed by code-reuse attack through information leakage. Although many fine-grained randomization...
Energy consumption prediction plays an important role in building design & retrofit, energy management system. In this paper, ECI (Energy consumption intensity) of VRV (Variable refrigerant volume) system in office buildings located in Shanghai, Nanjing and Changsha of East China are firstly investigated and analyzed statistically. The annual median value of ECI in the three cities is about 36 kWh/m...
Online social networks provide us a convenient way to access information, which in turn bring the information overload problem. Most of the previous works focused on analyzing user's retweet behavior on the micro-blogging system, and diverse recommendation algorithms were proposed to push personalized tweet list to users. In this paper, we aim to solve the overload problem in the mention list. We...
Recent years have witnessed the explosive growth of recommender systems in various exciting application domains such as electronic commerce, social networking, and location-based services. A great many algorithms have been proposed to improve the accuracy of recommendation, but until recently the long tail problem rising from inadequate recommendation of niche items is recognized as a real challenge...
The paper firstly briefly introduces the remote sensing investigation in vegetation and wetlands, preprocessing procedure of remote sensing image in the natural resources monitoring, and the commonly-used extraction methods of wetland vegetation information. In addition, the paper discusses the research status of the remote sensing inversion model, and elaborates on the three commonly-used models:...
The information system classification is a crucial part of data mining, which aims to analysis the information system, extract important message from complex data, and forecast the future development trend of data. At present, there are many methods to classify the data, for example, Rough Set Theory, Decision Tree, Bayesian Network, Genetic Algorithm, etc. The method presented in this paper, based...
Attribute reduction is one of key processes in rough set theory. In this paper, a new attribute reduction algorithm and a definition of Attribute-Activity is proposed with theoretical basis. It uses Attribute-Activity to quantify the partition capability for an attribute and makes a rough sorting, then makes clustering analysis by calculating the similarity among attributes to modify the sorting to...
Real world Web mining applications usually have different requirements, such as massive data processing, low system latency, and high scalability. In order to meet these different requirements, we proposed a distributed text mining system with a layered architecture that divides the system functions into three layers, namely, the crawling and storage layer, the basic mining layer, and the analysis...
Fault diagnosis is the basic condition for smart grid to achieve the self-healing function, and it is also one of the important research topics of the intelligent dispatching decision support system. On the basis of analyzing its concept and aiming at the current status of China's studies, this paper reviewed and summarized several intelligent fault diagnosis methods, including expert system, artificial...
At present, relay protection setting calculation system for power plant has been applied in power plant. It helps people complete relay setting calculation. But there are some problems in the relay protection setting calculation system. For example, it is difficult to update knowledge and can not automatically acquire new knowledge. So the intelligence of the systems is limited. This paper introduces...
Geomorphologic elements such as valley, ridge are structural information to represent natural geomorphology in spatial extension and distribution. The united Delaunay triangulation network methodology makes an improvement over traditional triangulation method, with its capability of detecting human recognizable bends. Although this united Delaunay triangulation network is more suitable for terrain...
Subspace learning techniques for face recognition have been attached growing attention. Two dimensional linear discriminate analysis (2DLDA) is a popular face recognition technique, which learns two interrelated subspace in an iterative manner. DialLDA is proposed as a complementary method to 2DLDA. Motivated by the success of 2DLDA and DialLDA for face recognition, in the paper we develop an innovative...
This paper present a wavelet-fractal dimension approach for extracting feature from ultrasonic non-destructive evaluation (NDE) data of a test multilayer adhesive structure specimen. These features are then used to estimate the specimen's bonded quality. When the multilayer adhesive structure undergo ultrasonic NDE, echo from interior layers often overlap severely, causing information from individual...
In this paper, a novel subspace method called Bidirectional diagonal Fisher linear discriminant analysis (BDFLD) is proposed for face recognition. Ensemble classifier is used in order to integrate information of multiple classifiers. BDFLD has the advantage of both 2D FDA and 2D DiaFLD, and directly seeks the optimal projection vectors from diagonal face images without image-to-vector transformation...
A cross-coupled model predictive controller for multi-axis coordinated motion systems is presented by incorporating cross-coupled strategy into the model predictive control architecture. The control law is generated by minimizing a cost function for the augmented system model in which the synchronization errors are embedded. Simulation and experimental results conducted on a high-precision positioning...
Digital forestry platform was introduced and special requirements of spatial data discovery were analyzed in this platform. The hierarchical and distributed architecture of spatial data discovery was put forward. Global metadata model, OLAP-oriented metadata aggregation and spatial relation knowledge repository were deeply researched. Global metadata model not only mainly provides spatial data entity...
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