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With the explosive growth of information on the Internet, it becomes more and more important to improve the efficiency of information acquisition. Automatic text summarization provides a good means for quick acquisition of information through compression and refinement. While existing methods for automatic text summarization achieve elegant performance on short sequences, however, they are facing...
Classification in sparsely labeled networks is challenging to traditional neighborhood-based methods due to the lack of labeled neighbors. In this paper, we propose a novel behavior-based collective classification (BCC) method to improve the classification performance in sparsely labeled networks. In BCC, nodes’ behavior features are extracted and used to build latent relationships between labeled...
With the development of on-line social networks, more and more users and sellers are interested in group analytics which provides insights into common interests with various relationships. This paper addresses this problem from temporal aspect, i.e., temporal group query (TGQ) which gives people the historical view for group forming and changing. To efficiently achieve our goal, we propose two structures...
Geoscience gives insights into our surroundings and benefits many aspects of our life. Nowadays, with massive sensors deployed to sense all kinds of parameters for environments, tens of billions, even trillions of sensed data are collected and need to be analyzed for surveillance or other purposes. From many perspectives, users always issue queries according to specific spatial and temporal predicates...
With the development of various Cloud platforms, providing spatio-temporal database services is an essential requirement for many applications, e.g., location-based services in Cloud. However, many previous works on processing queries in distributed environment fail to apply to spatio-temporal queries which is a significant role in spatio-temporal database. In this paper, we propose an efficient and...
Along with the emergence of massive graph-modeled data, it is of great importance to investigate graph similarity join due to its wide applications for multiple purposes, including data cleaning, near duplicate detection, etc. This paper considers graph similarity joins with edit distance constraints, which return pairs of graphs such that their edit distances are no larger than a given threshold...
Opinion leaders in bulletin board systems (BBS) play an important role during the formation of public opinion. Opinion leader mining has a positive effect on us to grasp and guide public opinion. The paper designs and implements an opinion leader mining system based on an improved PageRank algorithm using MapReduce. The improved PageRank algorithm uses the method of sentiment analysis to define the...
Provenance is a record that describes entities and processes involved in producing, delivering and influencing a resource. Provenance management and reuse can enable interesting applications for knowledge discovery and analytics. One crucial component of a provenance management system is the comparison between provenances. In the era of big data, provenance management systems are in need of a scalable...
Visualization is an important tool for social network analysis. Traditional visualization tools only take account into the links in the networks when displaying them. However, social networks are inherently attached to abundant attribute information. In order to display their attribute information, a novel visualization tool with attribute-based layout and coloring is developed in this paper. The...
In the field of image processing histogram equalization is a method to enhance images by adjusting the image contrast. The idea is to change the original image histogram from the more concentrated gray-scale range into all the uniform distribution. There is a shortcoming that gray-scale merging in traditional histogram equalization image enhancement. A gray-scale retention histogram equalization can...
In Web application system, the response time is one of the evaluating indicators of system performance, which is effected by many factors both software and hardware. Firstly, we propose a novel model to formalize text emergency plan of different kinds of crisis and emergency handling into a structuring dataset. Based on the data structure of emergency plan during development, we propose a method containing...
Compact antenna test range (CATR) technology is key measurement technologies of antenna and target specific areas. Tri-reflector compact antenna test range is a promising solution of high frequency compact range systems. The system uses two shaped-reflectors as the feed system, making the quiet zone utilization significantly improved. A tri-reflector compact antenna test range system operating from...
This paper presents an experimental study of environment recognition and movement control of an autonomous two-wheeled mobile robot using infrared range finding sensors. Multiple PSD sensors are arranged to detect obstacles and walls in the surroundings of the robot, and environment features are estimated using a set of range sensors data. The experimental mobile robot uses incremental encoders mounted...
In this paper, a novel model of process slicing and user-centered recommendation is presented to make flexible reuses of business rules. Business processes are sliced in such angles as condition, action and resource. Suitable process slices are recommended to end-users with a proposed algorithm. The approach has been trial-used in emergency management, for supporting the modeling, execution and management...
The application and development of prestressed concrete composite box-girder bridge with corrugated steel webs and reactive powder concrete were summarized in this paper. The authors analyzed the characteristics of prestressed concrete composite box-girder bridge with corrugated steel webs and tapped the potential and predominance of reactive powder concrete. A new type of prestressed reactive powder...
This paper presents an experimental study on environment recognition and movement control for multi-agent robotic soccer using wheeled mobile robots. A color image segmentation method based on YUV color information of each pixel of the color image is applied to the object recognition. The color image segmentation is performed using the tables that transform each value in a pixel to membership in several...
This paper researches the scheduling of the multi-objective elevator from a new perspective, building a new model after modifying tsp model. Tsp is transformed into the problem of the multi-objective elevator control. The paper analyses waiting time and elevator energy consumption, solving the control of the multi-objective elevator successfully. Taking Ant colony algorithms as example, scheduling...
Aim at cost allocation problem of cogeneration plant products, the paper presents a new heat-electricity product cost allocation method named equivalent allocation method. In the method, the heat-electricity product cost is divided into Fixed Cost and Variable Cost. They are allocated respectively based on the unit type and the equivalent characteristic between heat product and electricity product...
Role-Based Access Control (RBAC) has been widely applied to authorize certain users to access certain data or resources within complex systems. Several issues arose during the applications of RBAC models, which include the constraints applied in user-role assignments and role-role relations, revoking redundant roles and assignments, etc. These problems bring high costs in RBAC management. This paper...
The specification and distributed control of discrete event robotic manufacturing systems using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. First, a task specification is defined as a Petri net model at the conceptual level, and then transformed to the detailed Petri net representation of the subtasks. Finally,...
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