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In this paper, we present a realtime natural interaction system by using Kinect sensor. It can stability and smoothly control hand like mouse by user's holding hands, and implement common mouse operations such as 'clicking', 'dragging' and 'dropping' so on. Our interaction system is made of several novel technique. It can identify the user's interaction with intent by detecting the engaged/disengaged...
Collaborative filtering is widely used in recommender systems. When training data are extremely sparse, neighbor selection methods work ineffectively. To address this issue, this paper proposes a distributed representation model that represents users as low-dimensional vectors for neighbor selection by considering the chronological order of users' ratings. Experiments show that the proposed method...
In this paper, we design a system that can make calligraphy in real-time by using real Chinese brush. The system consists of two parts: calligraphy stroke generation and ink dispersion. In the calligraphy stroke generation, we use Kalman filter algorithm to deal with the unsmooth points at low speed, and combine arc and linear interpolation method to interpolate points with high speed, then we fill...
Public cultural sharing service plays an important role in the public cultural platform. The recommender systems can bring users useful cultural resources and information. For safety and security reasons of the cultural resources, the external applications are not allowed to directly access the original resource data stored in the cultural databases by sending recommendation requests. The cultural...
Aero-engine is the heart of the aircraft. If a failure of aero-engine occurs during the flight, it will be a direct threat to flight safety of the aircraft, so the aero-engine health management came into being, and the prediction is a very important part of it. This paper was focused on the prediction methods of health management. Firstly, we introduced the research status of the aero-engine prediction...
Public cultural services are developed rapidly. The growth of the data related to the public cultural services are dramatically. It needs big data technologies for processing the massive public cultural data. This paper proposes a big data analysis platform for facilitating the public cultural services. The platform collects cultural data from public cultural institutions and analyzes the data by...
LDA-based topic analysis is widely used in text mining field. Considering the large scale of web documents, document clusters are usually analyzed instead of single ones. However, the existing visualizations of LDA-based clustering do not intuitively present contents of hot topics while maintaining the relationships between the topics and the document clusters. In this paper, we propose an integrated...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
A power piezoelectric transformer (PT) was used to replace the conventional inductor-capacitor resonant tank to save valuable space and cost for ballast applications. In the past, the design of the PT or Transoner for the ballast circuit has been difficult due to the complex interaction between the physical and electrical equivalent circuit characteristics. Previous ballast design using the PT requires...
In the ballast circuit, the piezoelectric transformer is used to replace the conventional inductor-capacitor resonant tank saving valuable space and cost. In the past, design of the piezoelectric transformer (PT) or Transonerreg for the ballast circuit has been difficult due to the complex interaction between the physical and electrical equivalent circuit characteristics. Previous ballast design using...
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