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Share and innovation of education resource is one of the urgent issues nowadays, In this paper we proposed an innovatory computing paradigm merging volunteer contributing and Cloud approaches into EduCloud@Home in the education project. This proposal represents a solution for building Clouds, starting from heterogeneous and independent nodes. This can implement a generalization of both Volunteer and...
Taking the YN4100QB diesel engines as the research object, acoustic power of the radiation noise from the surface of the engine has been tested and calculated, which utilizes the measuring method of superficial acoustic pressure levels based on the simulation system of atmospheric pressure. The engine's combustion noise, mechanical noise and inlet noise have also been successfully separated with the...
Lane-change is considered to be one of the toughest challenges in the field of autonomous vehicles. Any vehicles that are driving around the host vehicle may effect this operation. To ascertain the safety during the lane-change process, a comprehensive understanding of surrounding environments as well as a real-time decision is needed. Many researchers have proposed several approaches based on kinematics...
Circular economy and reverse logistics management are belonging to the same sequence matters of the “two-oriented society” construction. The development of reverse logistics management has significant economic value and social value. The article defines two-dimensional properties of the government and the market in the process of reverse logistics management, analysis of the status and their causes...
Finding clusters of Web services benefits their sorting and discovery, moreover, certain services sitting on the fence between different services clusters could improve the quality of sorting and help users with cross-domain background to retrieve or combine the services correctly. In this paper, we extract words from the description field of Web services on the level of semantic, and connect these...
Service mining is an important technology which could help service composition. This paper mainly studied the problem of mining frequent composite services from the log of the composition-oriented service discovery system. First, a composite service representation method based on n-tuple was proposed. Second, a frequent composite service mining algorithm was put forward. Finally, an experiment was...
Locally linear embedding (LLE) is an effective nonlinear dimensionality reduction method for exploring the intrinsic characteristics of high dimensional data. This paper mainly proposes a hierarchical framework manifold learning method, based on LLE and growing neural gas (GNG), named growing locally linear embedding (GLLE). The proposed algorithm is able to preserve the global topological structures...
One of the challenging problem that Web service technology is now facing is effective service discovery. To solve the deficiencies of Web service description, matching and choosing under WSDL language, this paper presents a web service discovery method based on keyword clustering and concept expansion, mainly from the content of Web service, reasoning of service request and service matching, through...
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. However, due to locality geometry preservation, manifold learning is sensitive to noise. To solve the noisy manifold learning problem, this paper proposes neighbor smoothing embedding (NSE) for noisy points sampled from a nonlinear...
P2P networks have become a popular way to share large volumes of data due to its open and anonymous nature. P2P network model is designed with the targets of decentralization, well-scaling, fault-tolerance and low cost. Meanwhile however, new targets bring new challenges. P2P network expose more security threats due to its open and anonymous nature. P2P networks are vulnerable to attacks by malicious...
Software features can be the perception of the influence of the human factors on software artifacts. This paper tends to investigate mainstream software evolution and perceive primary criterions of competition and cooperation. It proposes and examines three hypotheses. The active resource space ARS is proposed to manage software features and enhance the success potential of emerging software. Our...
In this paper we study the influences of packet reordering on the throughput and link utilization in Low Earth Orbit (LEO) satellite networks. In the absence of any packet reordering, the throughput and link utilization remain high. Our results indicate that packet reordering combined with packet error can severely deteriorate the performance of transmission in LEO satellite networks, especially at...
ATBaM, A novel numeric relational data watermarking method, is presented in this paper. ATBaM substantially improves watermark security by using image scrambling technology which could confuse the well-regulated watermarking information and diffuse errors. Theoretical analysis proves the correctness and security of ATBaM. Also, experimental results show the strong robustness of ATBaM.
Sensor Network is the key for the Network Centric Warfare. With the goal of providing mobile commanders with the improved situational awareness that result from a shared Common Operational Picture, Multi-Sensor data fusion technologies of the battlefield become a crucial issue. In this paper, a cooperating Multi-Agent architecture Sentinel-Agent Model is introduced, which provides a data fusion framework...
Sensor network is the key for the network centric warfare. With the goal of providing mobile commanders with the improved situational awareness that result from a shared common operational picture, multi-sensor data fusion technologies of the battlefield become a crucial issue. In this paper, a cooperating multi-agent architecture sentinel-agent model is introduced, which provides a data fusion framework...
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