This paper describes how to collect and use the invariant information of a variable in GCC. The optimization performance is evaluated using NPB benchmark. It proves that compiler optimizes and improves program performance based on the value profiles, but the effects of value profiling based optimizations are quite different between different programs. It shows that there are further improvements, such as value profiling information or optimization type, etc.
To solve the problems of the cumbersome operation of node join and large ineffective scanning in XML path query, a new method of Schema-based XML index method is proposed. The XML is determined, which need to be scanned by matching Schema and query path. Code method is used to reduce the times of nodes connection. Experimental results demonstrate that this method achieves higher efficiency, better operability and expansibility than previous methods.
Quick sort works fairly efficiently contrasting with other sort algorithms, but it has choke point when sorted data are in order or basically in order. This paper brings forward a new high efficient quick sort algorithm comparing with several algorithms whose performances are O(nlbn). And on theory analysis as well as experiment data, it proves fairly good sort performance and strong robustness even in case of data sorted or basically in order comparing with other sort algorithms.
This paper presents a web crawler fitting for RSS which uses breadth-first algorithm and focuses on RSS to carry out automatically collection. And based on word segment, it improves the method to calculate word weight, works on word filtering, and implements automatically classification aiming at RSS using VSM. Experimental result shows that the system achieves to retrieve and classify Chinese RSS information with lower system cost and higher accuracy. And it can take manage of RSS information syndication effectively.
The scarcity of available channels and radios per node in the Wireless Mesh Network(WMN) limits the bandwidth available on the links of the multicast tree and eventually cuts the network throughput down. Aiming at this problem, this paper proposes a channel assignment algorithm for multicast in multi-channel multi-radio WMN called LAMCA. It can minimize the interference of multicast tree and improve the network throughput. Simulation results show that the algorithm can further optimize the throughput performance by comparing with the LCA algorithm.
This paper presents a CL-PKC-based secure protocol for sharing trust data in unstructured P2P networks protocol. The short response time and overhead of protocol can effectively improve the efficiency of the trust assessment. The public/private keys are generated by the key generator center. The security, integrity and non-repudiation of messages are guaranteed by these keys. The strand space theory proves the security of protocol.
The disclosure of the number of votes can compromise the voters’ anonymity of the electronic voting. Aiming at this problem, this paper defines anonymity by using the uncertainty of the voting choices and measures the anonymity of the whole voting system by entropy. It compares the anonymity after the release of the voting results with that before releasing the voting results. Analysis result shows that the smaller the voting scale is, the more the voters’ anonymity loses. In the design of small-scale electronic-voting scheme, releasing the winner instead of the number of votes that candidates gained decreases the loss of anonymity.
Aiming at poor robustness of the threshold auto-selection algorithm in far-infrared images segmentation, an improved K-means clustering centers analysis algorithm based on the mechanism of far-infrared imaging is researched in this paper. According to the character that the cluster centers had a linear distribution before clustering and had a clear turning point after clustering when they belongs to different categories, the absolute difference between the practical cluster centers value and theoretical cluster centers predicting value of a category under test is taken as the measurement function to select the turning point, thus the threshold for image segmentation was determined. Experimental result shows good robustness and anti-noise performance of the algorithm.
It usually exists bias when existing Support Vector Data Description(SVDD) algorithm solves the problem of imbalanced data sets. Aiming at this problem, this paper proposes FE-SVDD algorithm with improved imbalanced data classification. The feature extraction method based on Principal Component Analysis(PCA) is introduced. In this algorithm, the principal values are found respectively of the two classes of samples by using PCA. The penalty is given based on the information provided by the sizes of the two sample data and their values. It verifies the C of SVDD algorithm using artificial data and UCI datasets for the data imbalanced classification problem. Experiment results on artificial data sets and UCI data sets show the method’s effectiveness.
Locally Linear Embedding(LLE) algorithm is typically used to reduce dimensionality of high-dimensional manifold data. Though it has advantage such as a simple structure, being not easy to fall into local minimum value and preserving the same local geometric structure, the algorithm is sensitive to the noise points and singular value points. To solve this problem, this paper presents a locally hyperplane algorithm which can remove the singular value points. The algorithm projects each neighborhood of sample points onto the hyperplane space, so the projections of singular value points will be away from other projections that are aggregate in the neighborhood, and it finds all the points that are away from the gathering center in the neighborhood as singular value points. Simulation results verify the validity and effectiveness of the algorithm.
An Improved Harmony Search(NIHS) algorithm is presented for Lot-streaming Flow shop Scheduling Problem(LFSP) with objectives of makespan. Ranked-Order-Value(ROV) is applied to enable the continuous harmony search algorithm to be applied to scheduling problem. The initial harmony memory and the method of generating candidate solution is improved. Aiming at the shortcoming of premature and poor resulted from pure NIHS, two hybrid algorithms are put forward by combining NIHS and Threshold Accepting(TA). Simulation results show the effectiveness of the algorithm.
An algorithm for plagiarism-detection of scientific papers based on local word-frequency fingerprint is presented. Sentence is regarded as the basic component elements of a document, and extracting efficient keywords, sorting and reconstructing them. According to the code and word-frequency, the fingerprints are get to compute text similarity degree. The identification experiments on SOGOU-T database are done with the algorithm. Experimental results show that it partly overcomes the shortage of existing plagiarism-detection of scientific papers, and it has better performance on identification precision and identification speed.
Aiming at the multi-objective problem in actual traffic, a multi-objective optimization method based on hierarchical GA-AS algorithm is proposed. The hierarchical structure is adopted by constraints. The Ant Colony Algorithm(ACA) is used in a few of subnets for the local optimization, and the Genetic Algorithm(GA) is used in the top for the global optimization. Simulation results show that this algorithm not only has a strong effect of practical applications, but also reduces the number of optimization calculations, and its performance is improved.
This paper introduces a nonlinear transformation multiple description image coding algorithm based on the Region Of Interest(ROI). It can be compatible with the current standard image compression algorithms, and give the ROI better protection. The redundance can be got from the nonlinear geometric transformation of the ROI, and sampling of the images to form the Multiple Description Coding(MDC). Through the simulation experiment, when the images are in the error-prone channels and lose descriptions, the algorithm can be a better method to recovery the ROI.
According to texture of the halftone image. a new wavelet packet halftone image compression is proposed, in which the scan mode of the wavelet packet coefficients and the selection of threshold function are improved. The encoding method of high frequency and low frequency is different. Experimental results show that the new method can get better effect.
Lossless compression rate obtained on the error-diffusion image is very low, and the conventional binary image lossy coding techniques can provide bad visual quality on these images, which lead to investigate lossy compression based on the inverse halftone method. A looking up table inverse halftone method is used to convert error-diffusion image back to the contone image. An improved DCT coding algorithm is constructed to get higher compression rate. A lossy compression method of error-diffusion image is proposed. Experimental results show that the proposed algorithm fits to the error-diffusion image, and the quality of the decoding image is well.
The safety computer of railway transportation is the key equipment in charge of safety of railway transportation. Its safety level must be the Safety Integrty Level 4(SIL4). This paper compares characteristics of 2 out of 3 structure and double 2-vote-2 structure, designs 2 out of 3 safety computer based on ReWorks embedded operating system, and studies its middleware. It is applied in railway transportation project, and gets good practical effect.
An IEEE 1588 server, which is based on the foreground/background system with the priorities of interrupts, is designed and implemented to meet the high precision requirement of time synchronization in distributed power systems by using an ARM?Cortex?-M3 based microcontroller, which supports IEEE 1588 protocol. The burden of microcontroller is reduced and the real-time performance is further improved as a result of adopting the lightweight TCP/IP stack and simplifying the protocol’s complexity to program the bottom communication software. It is shown in test experiments that this server characterizes high clock-synchronization accuracy, excellent stability and low cost, and it has a bright prosperity to be applied into practice.
On the meet the current meteorological characteristics of national industry demands lightning detection data visualization technology, the final implementation of lightning data fusion of two-dimensional and three-dimensional interactive displays. It uses object-oriented languages Visual Studio .Net(C#) integration ArcEngine for lightning detection data development of three-dimensional display system to solve lightning data in two-dimensional and three-dimensional map of the handling and display problems. The article describes the ArcEngine component of the second development, map data processing as well as two-and three-dimensional lightning data interaction between display methods. Experimental results show the practice of using the above method of construction of the national lightning detection data three-dimensional display system to better meet the real business needs, as lightning protection and provide more intuitive decision support service information.
A proposal on the wireless mobile video surveillance based on DirectShow is presented. The mobile nodes capture video information using the camera, transmit it through WI-FI or GPRS network to the surveillance centers, thus the surveillance centers can monitor the mobile nodes in real time, also all nodes can do video communication among them. The proposal is different from the conventional, it is valid as the video surveillance screen is fluent in better real time measurement verified by the experiment. Experimental analysis is given and the directions for further research are put forward.
This paper researches the impact of antenna correlation at User Equipment(UE) on performance limits of multi-user Distributed Multiple-Input Multiple-Output(D-MIMO) systems. Contrary to the traditional view that correlation is detrimental in a single-user D-MIMO system, simulation results show that antenna correlation at UE actually can provide a noticeable performance gain which mainly comes from two aspects, which are multi-user diversity and power focusing effect in a multi-user environment.
The main jamming against digital nulling antenna on satellites is hostile high-power blocking interference. Aiming at the situation, this paper proposes nulling state maintain and interfering resource information store strategy. Nulling state maintain strategy can prevent the nulling antenna from the potential threat of blinking-jamming, avoid the impact of nulling antenna passive frequent nulling for system stability. The interfering resource information store strategy can get nulling state maintain time with pertinence, avoid the situation of blindly setting nulling state maintain time which can not adapt to all kinds of interfering strategy, and it makes nulling antenna has stronger adaptability.