多能源系统通过电、热、气等不同形式能源在生产、传输、消费等多个环节进行协同优化为解决能源与环境问题提供了新方案. 能量枢纽(EH)作为多能源系统的耦合环节, 其配置方案对多能源系统的优化运行至关重要. 在此背景下, 本文提出了一种考虑CO2排放量的含电力、热能、天然气等不同形式能源的能量枢纽优化运行配置方案. 在考虑CO2排放量的基础上, 提出一个多目标优化问题, 并采用遗传算法(GA)求解整体优化问题, 从而实现社会效益最大化, CO2排放量最小化的目标. 最后通过不同配置算例的分析比较验证所提方法的有效性, 为能量枢纽的建设和运行提供理论和技术支撑.
Congestion phenomenon occurs frequently in wireless monitoring network as excessive load of some local node,which is caused by some negative factors such as attenuation,multipath,blind and so on,and then lead to reliable data transmission can not be guaranteed.From the view of congestion control,a predictable based congestion control algorithms based on the design idea of initiative to avoid the congestion is proposed to realize adaptive congestion control which considers link quality indicator LQI when selecting a new route,and obtains the network traffic forecast future values according time series ARMA prediction algorithm,thus determine the congestion degree of a node to take measures in advance.The experimental results show that,the algorithm can improve the reliability of the wireless monitoring system of data transmission,and can improve the throughput.
This paper deeply researches the virtual simulation technology of oil gas gathering transferring system in the view of the present problem and defects existing in the virtual simulation technology. It treats oil gas gathering and transferring system in oil companies as main research object. The system extracts multiple eigenvalues of gathering and transferring tools' images which is on the basis of analysis experiment research in the image of oil gas gathering and transferring tools. This algorithm uses the HSV color space to extract images' color features and takes advantage of fourier descriptor to shape features. It identifies images by least squares SVM algorithm which finally implements real, safe, efficient training of staff, and has achieved good application affect after actual using.
In this paper,a new algorithm of taillight signals detection and recognition based on image is proposed.Firstly,the algorithm detects and tracks vehicle taillights using color and symmetry features of the images.Secondly,we employ parameters-optimized Least Squares Support Vector Machines(LS-SVM) to classify the current states of detected taiUights.Finally,we set up state chains from past frames to recognize the signals of taiUights.Through the experiments on the real road,we can see that the recognized signals can correctly indicate the behaviors of brake and turn of preceding cars,which shows that our algorithm is valid.
Compared with traditional monolithic kernel based virtualization architecture,microkernel-based virtualization architecture has smaller trusted computing base and its security is easier to be verified by formal methods completely.However,in microkernel-based virtualization architecture,communication between virtual machines on the same computer still requires the involvement of network card driver,which leads to low efficiency.In this paper,we propose a method to accelerate communication between virtual machines on the same computer by adding data selection module and data transmission module in the network service of microkernel-base virtualization architecture.With the method,communication between virtual machines on same computer can be completed in the memory instead of network card driver.Experiment shows that our method can improve the efficiency of communication effectively.
DEM generated by topographic map vectorization is wide used in many applications. Because the vague and adhesion phenomena in scanned terrain image will inevitably exist, the results of the contour extracting from blur images are not satisfactory in most cases. Combining with morphological mothod in both RGB and HSV color space, several elimination mothods are used to remove non-contour information, and the remains are color contour with many breakpoints. The Un Sharpen Model(USM) is used to sharpen the contour line,then we use models to decrease the line width and to deblur the line in gray modes. By using the removed non-contour information, we propose a new breakpoint-matching method to connent the contour and generate more ideal binary contour with high-quality. The whole preprocessing algorithm is simple, easy to implement.
In view of the bipartite graph method of network-based inference(NBI) only considered whether users evaluated the project or not, but not given their scores, the thesis proposed a preferential network-based inference(PNBI) recommended method. Based on inference network, the method takes into account that user's rating values for the program reflects his degree of preference. In the "User-Item" resource allocation process, the method allocates resources to the item that gets a higher score, this method can overcome the NBI algorithm's disadvantage of failing to use low score value. Considering the sparsity of data, the method uses inverted list to discrese the number of calculation to accelerate the algorithm. Experiments on Movie Lens dataset show that, PNBI bipartite graph recommended algorithm outperforms NBI bipartite graph recommended algorithm in accuracy, coverage and recall.
In order to overcome the limitation of single kernel in Support Vector Machine(SVM) model, hybrid kernel is usually used in forecasting. However, the weight of functions in the hybrid kernel is hard to calculate. To solve this problem, we propose a new method based on feature-distance. This method firstly gets an optimization function based on SVM's geometric meaning and a principle, which is the feature-distance of the same kind should be minimized and the different should be maximized, and then analyzes the optimization function to work out the weight. Experimental results show that compared with the cross validation method and PSO algorithm, this method reduces the computing time nearly by 70% with the accuracy kept unchanged.
Video compression is the core technology for video conference, and its quality depends on the compression technology. The H.264 is a high-performance en/decoding algorithm, which has higher compression ratio and better network suitability. This paper introduces the key technology of the H.264 coding algorithm and the framework of Directshow technology. Besides, through embedding the FFmpeg, the open-source library of H.264, into the Directshow Filter Graph, researchers can encode and decode the video data of users.
We present a new method for computing invariants for cache coherence protocol in this paper,The verification of cache coherence protocols is always a challenge as we have to check the safety properties of cache coherence protocol with arbitrary nodes.By searching the relations between the invariants and the rules of cache coherence protocol,we can verify the cache coherence protocol with circular reasoning.Besides,we implement a tool to help us computing invariants for cache coherence protocol.We also have experiments on how to apply our method to the German protocol with both control property and data property.
Quadrotor UAV is a research hotspot in recent years,who is widely used in many fields because of its advantages in simple structure and vertical take-off and landing.The control effect of classical control algorithm,such as PID Control algorithm,is not satisfying when the UAV is under disturbance or in a changing condition,the UAV can't be adjusted to equilibrium state when it's under large disturbance.This paper modeled through dynamics and properly simplified it,designed the adaptive control law,and the numerical experiment shows that model reference adaptive control can block out disturbance,verifies that this algorithm is effective.
To solve the problems of long registration time and many wrong registrations in using the infrared image stitching algorithm. This paper improves the infrared image stitching algorithm which based on SIFT algorithm. Firstly, the improved algorithm uses the Gaussian difference pyramid to establish the scale space. Secondly, this algorithm uses FAST algorithm to extract the feature points from the Gaussian pyramid difference images. In order to find the initial matching point pairs, the method of this paper calculates the feature vectors distance to measure the similarity of feature points. Thirdly, RANSAC algorithm and direction consistency method are used to remove the wrong matching point pairs. Finally, this algorithm uses weighted average method to mosaic images. The result of the infrared image mosaic experiments shows that the improved method is more stable and more rapid.
With the improving of the communication technology and the increasing of the applications,the wireless spectrum resource becomes more and more scarce.The resources utilization rate of the primary users who has been assigned resources is low.The cognitive radio technology hope to improve spectrum utilization in a way that the second users use the the primary users' resource.Spectrum sensing is a key technology of the cognitive radio.This article is based on the existing sensing technology,and put forward a new sensing mean.In cognitive radio network,the respective signal to noise of second users are not same because that their distance to the first user and their own signal environments are different.The dynamic dual-threshold cooperative spectrum sensing method is an improvement over the traditional two-threshold energy-aware approach.It improve the sensing performance by fully considering the difference between the secondary users.It has several steps.First of all,it need to filter out some second users that do not meet the conditions,such as,the probability of detection and false alarm.Then,each second user will dynamic change its dual-threshold which is used for energy detection according to its SNR.Through comparing with the single threshold energy-aware cooperative spectrum sensing method and the traditional dual-threshold cooperative spectrum sensing method,we can find that our method has a better performance on improving the overall performance of the system than both of other two methods.
For the TCP/IP based video conference has been the main requirement because of its convenience and thanks for the well implemented networks now, building a stable video conference server has been required. Differed from normal video-on-demand servers, video conference server requires more on real-time demands, and it faces higher rate of download and upload. Using the basic principles of HDFS for reference, this essay comes up with a reliable distributed file system for the video conference server.
The reasonability or drilling equipments selection is critical to the overall performance of the platforms. In this article, Fuzzy analytic hierarchy process was applied to select drilling equipments of deepwater semi-submersible platforms. In the case of drilling pump, selection evaluation model was established by considering technical factors and economic factors. The weight of each factor was calculated out by using FAHP and AHP respectively,then optional schemes were sorted out by integrated factor.The result show that the fuzzy analytic hierarchy process can solve the problem of drilling equipments selection effectively. The applicable scope of FAHP and AHP was summarized by comparing the results of two methods. In this way, we can lay a foundation for policymakers to use these analysis methods.
General search engines often cause the topic-drift problem,which means that during the retrieval process,some of the retrieval results are independent to the domain keywords.We propose a web page re-ranking algorithm for a specific domain—the TSRR(Topic Sensitive Re-Ranking) algorithm to solve the problem from a specific perspective.TSRR establishes a vector model which is independent to page rank for a specific domain and a web page information model;then it combines the vector model and the web page information model to re-rank the search results in the retrieval process.TSRR's performance is evaluated based on the criteria of customer satisfaction and precision.Experiment results on the dataset crawled for specific domains show that TSRR is excellent in performance.Compared with the ranking algorithm from Lucene,TSRR can promote the customer satisfaction performance by 17.3%and the precision performance by 41.9%on average.
A method based on improved affinity propagation clustering of data warehouse is proposed by analyzing physicians’ antibiotic prescribing practices in this article. Loading pivottable by the data warehouse, we can select a representative physicians’ antibiotic prescription data and find the internal factors of antibiotic prescribing behavior of physicians through improved affinity propagation. The data is from the antibiotic prescription of information system of a first-class hospital in Zhejiang province in 2012, which is studied through cross-sectional. Firstly, we build the data warehouse, then cluster and reduce the dimensionality of data set by improved affinity propagation clustering to get the training set and test set. Finally, the results show that different departments, months and types of antibiotics have significant impacts on the data of antibiotic prescriptions. There are significant differences of cephalosporin and penicillin with seasonal changes in this hospital which can be used as evaluation index of the doctor’s prescription.
This paper presents an automated method for detecting reflected XSS vulnerabilities of Android Apps. Through identifying and classifying Android Apps components, automatically inputting test cases, clicking on the input box-related buttons and monitoring the results, to determine whether the applications have potential reflected XSS vulnerabilities. Moreover this method implements support for Web View by image processing. Based on this method, a prototyping tool is also implemented. The experiment results demonstrate that this proposed method can detect reflected XSS vulnerabilities of Android Apps with high practicability and effectiveness.
Research on Android test mostly focused on the realization of the testing tools and frameworks, some tools and frameworks can realize automatic test case generation and test scripts execution. However, during software development, test requires human start, thus can't guarantee the quality of new or modified code timely and effectively. Based on Robotium framework, this paper researched continuous integration solution, including the code under test and the test code hosting, version controlling, building the application and test automatically, finally realized the Android automation test platform. With the test platform, the code updates can be test automatically in time, the quality of the Android applications can be intuitive and controllable.
Name ambiguity is a common phenomenon when one tries to search for someone's information in the Internet.In this paper,we have studied the web name disambiguation issue in detail.After extracting different features related to the name and then creating combined features by vector space model,we give priority to cluster the documents with high similarity by hierarchical clustering algorithm.Evaluated on the WePS data set,the proposed method showed its effectiveness in solving name disambiguation problem.
