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Battery Simulator is a kind of test equipment commonly used in satellite power, electric vehicles and other power application fields. Design a battery simulator with a standard LXI bus interface is important for building a multi-instrument test system. This paper puts forward a SCPI instruction analytical platform based on LXI bus. Remote PC sends SCPI command over LXI bus. The communication board...
Automatic photo cropping is an important tool for improving visual quality of digital photos without resorting to tedious manual selection. Traditionally, photo cropping is accomplished by determining the best proposal window through visual quality assessment or saliency detection. In essence, the performance of an image cropper highly depends on the ability to correctly rank a number of visually...
In cloud computing environments, the data operations of tenants destroy the original data relationships, which put tenants' privacy at risk of being leaked. Therefore, the paper proposes a privacy protection model for hiding data relationships based on chunk-confusion. For insert, delete and update operations, based on the L-diversity principle, this paper proposes L-K-equilibrium that ensures the...
A linear regression-based method is a hot topic in face recognition community. Recently, sparse representation and collaborative representation-based classifiers for face recognition have been proposed and attracted great attention. However, most of the existing regression analysis-based methods are sensitive to pose variations. In this paper, we introduce the orthogonal Procrustes problem (OPP) as...
In many applications such as dynamic social network and customer behavioral analysis, the data intrinsically have many dimensions and can be naturally represented as high-order tensors. In this study, a SVM ensemble learning method is proposed for classification using tensor data. The method is used in identifying cross selling opportunities to recommend personalized products and services to customers...
Based on the analysis of some typical ship database, such as Fairplay, Global Integrated Shipping Information System, Etal, which have been established and used widely, this paper puts forward the ensemble theory framework design of ship safety database. Firstly, the paper analyses data requirements and performance requirements of ship safety database. Then the paper accomplished the system function...
In this paper, we propose an App Quick Sieve/Verify Scheme (AQSVS) to improve the App safety/quality verification issue in the third-party or enterprise app market place. The concerns related to app store safety are of paramount interest as and an increasing number of malware and defective apps caused by Android fragmentation. The AQSVS based on the use of App package information and TF/IDF inverted...
Recently nonnegative matrix factorization (NMF) has become a popular dimension reduction method and it has been successfully applied to image processing and pattern recognition. In this paper, we propose an incremental locality preserving nonnegative matrix factorization (ILPNMF) method, which is aimed to discover the manifold structure embedded in high-dimensional space that deals well with large...
This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. We have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification...
In this paper, face images are analyzed in frequency domain and then classified based on the gender of the human subjects appearing in the image. Different images of the same gender are considered as an ensemble of inter-correlated signals and changes due to variation in faces are sparse with respect to the whole image. We exploit this sparsity using compressive sensing, which enables us to grossly...
In order to improve the operational safety and equipment management of nuclear power plants, combined with domestic and foreign nuclear power plants reliability data of actual demands, development of equipment reliability data collection and analysis application platform research work have been performed. This paper presents the research technique and research ideas, establishes the reliability of...
Conventional secret message passing methods embed a message in the cover-text, so the receiver must use stego-text to extract the message content. In contrast, this paper proposes a new paradigm in which the receiver does not necessarily require stego-text to retrieve the message content. Under the proposed approach, the sender can produce keys without modifying the cover-image, and the intended recipient...
Gender recognition for interactive functions becomes essential topic in terms of service robotics applications. Ensemble learning which combines multiple classifiers prediction is now an active area of research in Machine Learning and Pattern Recognition. We propose an ensemble learning to facilitate gender classification. The features which we use are raw data (image pixels as input), Local binary...
In order to realize remote experimental teaching of the digital system courses, and according to the characteristics of those experimental courses, presents a kind of experimental teaching platform/system based on network. It explains the system's overall framework, control function and design, and furthermore expounds the points and realization methods of the system client and server software and...
This paper presents an economic flight operation. Based on Flight Operation Quality Assurance (FOQA) system, flight performance database from local airline is used for analysis and assessment. Considering the environment difference, there are various methods to estimate the operational fuel consumption by eight continuous flight stages. A correlation statistics is established to look into different...
Multi-core processor architectures can have significant performance advantage over traditional single core designs, which are limited by power and processor complexity. Predictions based on Moore's Law state that a processor chip may accommodate thousands of cores in 5-10 years. Can software scale with the number of cores and achieve the performance potential? This paper uses two OLTP (online transaction...
The campus electricity consumption in Taiwan increases steadily and causes problems to school finance. The need to save energy is urgent. This research presents a campus energy management system (CEMS), which is based on Web and database server (WebDB). With measurement and control interface, communication network, database management system, and Web portal server, a complete application platform...
In March and April 2009, an outbreak of H1N1 influenza in Mexico led to hundreds of confirmed cases and a number of deaths. The worldwide spread of H1N1 had attracted everyone's attention and arisen an overwhelm fear. Up to now, there is still an urgent need in the solution for ending this light. In this study, a QSAR model of neuraminidase (NA) type 1 (N1) provides an access. The pharmacophore map...
The performance gap between the execution speed of security software and the amount of data to be processed is ever widening. A common solution is to close the performance gap through hardware implementation of security functions. However, continuously expanding signature databases have become a major impediment to achieving scalable hardware based pattern matching. Additionally, evolutionary rule...
HER2 over-expression associates with many cancer symptoms, and the HER2 protein kinase was regarded as the target for cancer treatment. To develop the novel potent leads, homology modeling and structure-based design were employed to this research. Three clinical trail drugs and traditional Chinese medicine (TCM) database were employed to perform the docking. The top 7 compounds from database with...
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