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Infrared imaging technology has gained more attention and become an interesting method in electrical maintenance. This paper proposes a novel method for current transformer recognition and location in infrared images. K-means algorithm is used in current transformer segmentation while an expansion-corrosion algorithm is applied to denoise and eliminate small pieces of equipment such as power lines...
To capture the trends of concerned topics in specific field, people often use topic discovery methods to get this goal. The traditional topic discovery algorithms are generally divided into two types, text clustering algorithm and text topic model. The former lacks of attention on semantic information, and the latter always ignores relativity of the topic. These affect the topic discovery and topic...
Feature representation plays an important role in text classification. Feature mapping based on labels information is an algorithm suitable for Binary Relevance. Compared with the conventional text representation, it makes the dimension of the text under control by means of word embedding. More importantly, it takes full advantage of the general characteristics of the label on text representation...
Energy remains a major hurdle in running computation-intensive tasks on wireless sensors. Recent efforts have been made to employ a Mobile Charger (MC) to deliver wireless power to sensors, which provides a promising solution to the energy problem. Most of previous works in this area aim at maintaining perpetual network operation at the expense of high operating cost of MC. In the meanwhile, it is...
Community detection has become one of the most important methods for studying social networks. However, most of the existing community detection algorithms may not be applicable to mobile social networks due to their complexity. To solve this problem, we present a parallel algorithm to conduct community detection based on general stochastic block (GSB) model. We first model a mobile social network...
Recent studies show that the novel wireless charging technology can extend the lifetime of Wireless Sensor Networks (WSNs) towards perpetual operations. Recharging Vehicles (RVs) can be applied in WSNs to recharge sensors conveniently via wireless charging devices. Most of existing work focused only on energy replenishment whereas ignored sensor activity management. In this paper, we propose a new...
Social networks exhibit an overlapping community structure. Detecting overlapping communities and overlapping nodes in social network is an active field of research. The algorithm OMO uses only the network structure to detect communities and does not require any external parameters. The proposed algorithm applies a novel genetic algorithm to cluster on nodes. A scalable encoding schema is designed...
In this paper, a three-layer framework is proposed for mobile data collection in wireless sensor networks, which includes the sensor layer, cluster head layer, and mobile collector (called SenCar) layer. The framework employs distributed load balanced clustering and dual data uploading, which is referred to as LBC-DDU. The objective is to achieve good scalability, long network lifetime and low data...
Collaborative filtering is a widely-used technique in online services to enhance the accuracy of a recommender system. This technique, however, comes at the cost of users having to reveal their preferences, which has undesirable privacy implications. We propose a collaborative filtering system where the system does not observe the users' data and is still able to provide useful recommendations. Compared...
Clustering is an unsupervised machine learning method, which groups data into classes without labeled samples, and an important task in data mining. To attack the local optimum of k-means method, the paper presents a novel hybrid clustering approach, which uses adaptive ant colony optimization (ACO) to optimize the partition of data set, and utilizes enhanced particle swarm optimization (PSO) to refine...
Ant colony optimization (ACO) is a kind of bionic swarm intelligence algorithm belongs to artificial intelligence (AI) field and has been successfully applied in resolving complex optimization problems. Support vector machine (SVM) is a new machine learning method with greater generalization performance, and has shown its superiority in classification and regression problems. By combining the advantages...
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