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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： He Huaiqing Xiao Chunjing Qiao Yongwei College of Computer Science & Technology Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

In the process of disaster situation assessment by using the fuzzy reasoning often requires us to specify fuzzy sets. However, it is unrealistic to provide them beforehand. In this paper, we propose a method to obtain the fuzzy sets and the membership functions by using the clustering techniques At first,we present a criteria to find the best number for clustering. Then we can classify each attribute into fuzzy sets and define their membership functions by using the cluster centers we have finded. Finally, we apply this method to a dataset of Civil Aviation Disaster Situation Assessment. The results demonstrated that it is a good way for the fuzzy partition and the membership function definitions.

关键词： Fuzzy Sets, Clustering, Situation Assessment, Membership Function

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Test of GPU Multicore Process Capability based on CUDA

Test of GPU Multicore Process Capability based on CUDA

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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： He Huaiqing Sun Xidong College of Computer Science and Technology Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

In recent years,the GPU(graphics processing unit) technology has been highly *** the graphics card that initially limited to rendering,it has developed into a programmable parallel computing platform today and has evolved into a high degree of parallelism,multithreaded,multicore processor with tremendous computational horsepower and very high memory *** the power of high intensity of GPU to solve some speed bottlenecks of algorithm will be a research of great *** the classic encrypt algorithm DES as an example,it uses the contrast experiment to show that the result by CUDA parallel computing get a high speed compared with the general program,showing the advantage of the parallel computing.

关键词： CUDA,GPU,Parallel,DES

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Positional translation language model for ad-hoc information retrieval

Positional translation language model for ad-hoc information...

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18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014

作者： Tu, Xinhui Luo, Jing Li, Bo He, Tingting Gu, Jinguang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Department of Computer Science Central China Normal University Wuhan China State Key Lab. of Software Engineering Wuhan University Wuhan China

ISBN: (纸本)9783319066042

Most existing language modeling approaches are based on the term independence hypothesis. To go beyond this assumption, two main directions were investigated. The first one considers the use of the proximity features that capture the degree to which search terms appear close to each other in a document. Another one considers the use of semantic relationships between words. Previous studies have proven that these two types of information, including term proximity features and semantic relationships between words, are both useful to improve retrieval performance. Intuitionally, we can use them in combination to further improve retrieval performance. Based on this idea, this paper propose a positional translation language model to explicitly incorporate both of these two types of information under language modeling framework in a unified way. In the first step, we present a proximity-based method to estimate word-word translation probabilities. Then, we define a translation document model for each position of a document and use these document models to score the document. Experimental results on standard TREC collections show that the proposed model achieves significant improvements over the state-of-the-art models, including positional language model, and translation language models. © 2014 Springer International Publishing.

关键词： Information retrieval

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MICkNN:Multi-Instance Covering kNN Algorithm

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Tsinghua Science and technology 2013年第4期18卷 360-368页

作者： Shu Zhao Chen Rui Yanping Zhang Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University

Mining from ambiguous data is very important in data mining. This paper discusses one of the tasks for mining from ambiguous data known as multi-instance problem. In multi-instance problem, each pattern is a lab.led bag that consists of a number of unlab.led instances. A bag is negative if all instances in it are negative. A bag is positive if it has at least one positive instance. Because the instances in the positive bag are not lab.led, each positive bag is an ambiguous. The mining aim is to classify unseen bags. The main idea of existing multi-instance algorithms is to find true positive instances in positive bags and convert the multi-instance problem to the supervised problem, and get the lab.ls of test bags according to predict the lab.ls of unknown instances. In this paper, we aim at mining the multi-instance data from another point of view, i.e., excluding the false positive instances in positive bags and predicting the lab.l of an entire unknown bag. We propose an algorithm called Multi-Instance Covering kNN （MICkNN） for mining from multi-instance data. Briefly, constructive covering algorithm is utilized to restructure the structure of the original multi-instance data at first. Then, the kNN algorithm is applied to discriminate the false positive instances. In the test stage, we lab.l the tested bag directly according to the similarity between the unseen bag and sphere neighbors obtained from last two steps. Experimental results demonstrate the proposed algorithm is competitive with most of the state-of-the-art multi-instance methods both in classification accuracy and running time.

关键词： mining ambiguous data multi-instance classification constructive covering algorithm kNN algorithm

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Frequency-Hopping Period Estimation Based on Binary-Sum in Frequency Domain

Frequency-Hopping Period Estimation Based on Binary-Sum in F...

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Wireless Communication and Sensor Network, Intl Conference on

作者： Yan Qi Lu-Xi Lu Kun Zhang Nat. Key Lab. of Sci. & Technol. on Blind Signal Process. Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781479970926

Focusing on the estimation of the hopping period of the frequency-hopping (FH) signals, this paper proposes a novel method based on the binary-sum in the frequency domain. First, the time-frequency (TF) spectrograph of the signal is obtained and transformed into a binary matrix. Then the sum in frequency domain is calculated and the hopping period is accurately estimated by spectrum analyzing. The results of the simulations confirm that the method is effective and superior to the regular methods.

关键词： Estimation Frequency estimation Time-frequency analysis signal to noise ratio Accuracy

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The Immune Forecasting Model of the Airdrome Flight Delay Based on the Danger Model Theory

The Immune Forecasting Model of the Airdrome Flight Delay Ba...

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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： Jianli Ding Huafeng Li College of Computer Science and Technology Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Department of computer technology Tangshan Teacher College

Flight delay is a very important issue in the civil aviation ***,the prediction of flight delay is particularly *** the characteristics of airport flight operation,this paper presents a method which is on the base of the danger signal for the airdrome flight antigen *** method draw lessons from danger model *** combines the danger model with immune *** on this,we build an airport flight delay immune forecasting *** result shows that the model can accurately forecast the number of flight delay in the next period.

关键词： Flight delay Danger model theory Immune theory Antigen recognition

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Delay-optimized offloading for mobile cloud computing services in heterogenous networks 4th

Delay-optimized offloading for mobile cloud computing servic...

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4th International Conference on Cloud Computing, CloudComp 2013

作者： Zheng, Kan Meng, Hanlin Zhu, Hua Lin, Kai Cai, Wei Long, Hang Wireless Signal Processing and Network Lab Key laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing100088 China School of Computer Science and Engineering Dalian University of Technology Dalian Liaoning China Electrical and Computer University of British Columbia VancouverV6T 1Z4 Canada

ISBN: (纸本)9783319055053

Offloading is an efficient method for extending the lifetime and speeding up the execution rate of mobile devices by executing remotely in mobile cloud computing (MCC) networks. Meanwhile, heterogeneous network (HetNet), which has multiple types of radio access nodes in the network, is widely accepted as a promising way to satisfy the increased traffic demand. In this paper, we first propose two delayoptimized offloading control schemes in LTE-Advanced heterogeneous networks. One of them is to control the number of offloading users by setting a threshold. Another is to determine whether the users are suited to offload by estimating the execution delay. Both of them take the traffic load of serving cell and neighbouring cells into account. For comparison purpose, the delay performance of different schemes are evaluated by simulations in not only heterogeneous network but also macro-only network. © Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2014.

关键词： Heterogeneous networks

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The Construction of Flight Bank in Large Hub Airports

The Construction of Flight Bank in Large Hub Airports

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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： Jian-li Ding Lian Zhao College of Computer Science and Technology And Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Information Technology Research Base Civil Aviation Administration of China

In this paper,the development and construction of hub airport with hub-and-spoke system as the starting point to analyze the operating conditions of flight bank in domestic and international typical hub airports,and indicate the importance of improving efficiency of flight schedules by the use of flight ***,this paper expatiates on the conception and operating features of flight bank,puts forward the construct process around several important aspects including quantity definition,time distribution and configuration,and then makes time to optimize the time distribution and design the structure *** has great guiding significance for reasonable designation and operation of flight bank to advance the operation efficiency of large hub airports with hub-and-spoke system.

关键词： Flight bank Hub airport Time distribute optimization Structure designation.

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Low-latency last-level cache structure based on grouped cores in Chip Multi-Processor

Low-latency last-level cache structure based on grouped core...

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IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： Jinbo Xu Weixia Xu Kefei Wang Zhengbin Pang School of Computer National University of Defense Technology Changsha China National Lab. for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781479975761

Last-Level Cache (LLC) plays an important role in Chip Multi-Processor (CMP). The objective of this work is to optimize the structure and management strategy of LLC. Based on 8-core CMP, a LLC structure based on grouped cores is proposed, where 8 cores are divided into 4 groups. All LLC resources are classified into three types, which are fixed private cache, dynamic private cache and dynamic shared cache. The layout of the LLC structure and the corresponding dynamic partitioning strategy are designed to achieve low access latency and high efficiency. Experimental results on full-system simulator suggest that the proposed structure and method are able to reduce the access latency by 2% to 12% compared with previous works, such as tiled structure, cache-centered structure and core-centered structure. Consequently, performance measured by IPC is improved up to 7%. The contribution of this paper is useful for CMP performance, and applies to not only 8-core CMP but also all small-scale CMPs.

关键词： Dynamic scheduling Multicore processing Educational institutions Organizations Delays Semiconductor device measurement Research and development

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The Model and Optimization of Search Engine Based on Hadoop

The Model and Optimization of Search Engine Based on Hadoop

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2012 International Conference on Convergence computer technology(IC3T 2012)

作者： Jian-li Ding Bo Yang College of Computer Science and Technology And Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Information Technology Research Base Civil Aviation Administration of China

With the rapid increase of websites and internet users,the traditional search engine will face great challenge in the real-time search,response speed and mass storage *** cloud computing with two major advantages in massive data processing and mass data storage,so the search engine deployed in the cloud can solve these *** analyzing the open-source cloud computing system Hadoop,cloud platform search engine model is constructed and search engine algorithm is optimized to improve the overall performance of search engines.

关键词： Cloud Computing,Hadoop,Search Engine,Model,Algorithm Optimization

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