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2017 IEEE 2nd International Conference on Big Data Analysis（ICBDA 2017）

作者： Yaguang Wu Haichun Sun Chungang Yan Department of Computer Science and Technology Tongji University The Key Laboratory of Embedded System and Service Computing Tongji University College of Police Information Engineering People's Public Security University of China

ISBN: (纸本)9781509036202

Event extraction is an important research point in information extraction area, and news event extraction has a greater practical significance. The existing methods of extracting news event, which starts from the time element, is to identify the date sentences hold by Natural Language Processing and extract the event on the date by Text Clustering. However, they only process the news that holds a time-tag and gives up the news that has no accurate date, which easily leads an extraction deviation of significant events and reduces the accuracy of ordering the significant events. In this paper, improvement for this defect is to calculate the similarities between sentences to put part of the non-time-tag sentences into the right date container, thereby the accuracy of ordering the significant event is *** experiments and compared with the existing methods,the accuracy of ordering the significant events in this paper is improved by 14.6%.

关键词： event extraction text information mining sentence similarity timeline

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A theoretical study of the multigrid three-dimensional variational data assimilation scheme using a simple bilinear interpolation algorithm

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Acta Oceanologica Sinica 2013年第3期32卷 80-87页

作者： LI Wei XIE Yuanfu HAN Guijun Key Laboratory of State Oceanic Administration for Marine Environmental Information Technology National Marine Data and Information ServiceState Oceanic Administration NOAA Earth System Research Laboratory BoulderCO 80305-3337USA

In order to solve the so-called ＂bull-eye＂ problem caused by using a simple bilinear interpolation as an observational mapping operator in the cost function in the multigrid three-dimensional variational （3DVAR） data assimilation scheme, a smoothing term, equivalent to a penalty term, is introduced into the cost function to serve as a means of troubleshooting. A theoretical analysis is first performed to figure out what on earth results in the issue of ＂bull-eye＂, and then the meaning of such smoothing term is elucidated and the uniqueness of solution of the multigrid 3DVAR with the smoothing term added is discussed through the theoretical deduction for one-dimensional （1D） case, and two idealized data assimilation experiments （one- and two-dimensional （2D） cases）. By exploring the relationship between the smoothing term and the recursive filter theoretically and practically, it is revealed why satisfied analysis results can be achieved by using such proposed solution for the issue of the multigrid 3DVAR.

关键词： multigrid three-dimensional variational data assimilation bilinear interpolation

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Delay-Sensitive Goods Delivery and In-Situ Sensing Using A Multi-Task Drone

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IEEE Transactions on Mobile computing 2025年

作者： Liu, Bin Ni, Wei Liu, Ren Ping Guo, Y. Jay Zhu, Hongbo Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Wireless Communications Nanjing 210003 China Nanjing University of Posts and Telecommunications Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Ministry of Education Nanjing 210003 China University of Technology Sydney Global Big Data Technologies Centre Ultimo NSW Australia Barkhausen Institut Technische Universität Dresden Dresden Germany DATA61 CSIRO Marsfield 2122 NSW Australia

Drones are evolving into highly capable and adaptable devices, prompting the development of advanced control frameworks. This paper introduces a novel online control framework tailored for a multi-task drone, explicitly addressing the simultaneous execution of in-situ sensing and goods delivery. To tackle this complex scenario, a finite-horizon Markov decision process (FH-MDP) is formulated to ensure not only the prompt delivery of goods but also the minimization of energy consumption and the maximization of the drone's reward for in-situ sensing. A significant contribution lies in establishing the monotonicity and subadditivity of the FH-MDP. This mathematical foundation provides evidence for the existence of an optimal, monotone, deterministic Markovian policy. The crux of the optimal policy revolves around flight distance- and time-related thresholds, determining the precise points at which the drone should switch its optimal action. This unique feature empowers the multi-task drone to make real-time decisions, such as adjusting flight speed or engaging in in-situ sensing, by comparing its current state with these predefined thresholds. This process can be accomplished with a linear complexity, ensuring efficiency in decision-making. The optimality of our approach is rigorously demonstrated through numerical validation, where it is compared against a computationally expensive, dynamic programming-based alternative. Under the considered simulation settings, our approach reduces drone energy consumption by a substantial 19.8% compared to existing benchmarks. This not only highlights the practical effectiveness of the proposed framework but also underscores its potential for significant advancements in the field of drone operations and energy efficiency. © 2002-2012 IEEE.

关键词： delivery Drone finite-horizon Markov decision process in situ sensing multitask

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Improved structural modeling based on conserved domain clusters and structure-anchored alignments

Proceedings of the ACM Symposium on Applied Computing

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Proceedings of the ACM Symposium on Applied computing 2007年 128-132页

作者： Zhang, Fa Xu, Lin Liu, Zhiyong Yuan, Bo Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Science Graduate School Chinese Academy of Science Institute of Computing Technology Chinese Academy of Science Department of Computer Science and Engineering Shanghai Jiaotong University

ISBN: (纸本)1595934804;9781595934802

In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignments. We first constructed a template library of structural clusters for all conserved sequence domains. Then, for each cluster, we built the profile using the structure and sequence information. Finally we use the profile and structural alignments as anchors to increase the alignment accuracy between a query and its templates. Our preliminary results show that this method can be used for the partial prediction for a majority of known protein sequences with better qualities. Copyright 2007 ACM.

关键词： Proteins

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Implementing a 1GHz Four-Issue Out-of-Order Execution Microprocessor in a Standard Cell ASIC Methodology

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Journal of Computer Science & technology 2007年第1期22卷 1-14页

作者：胡伟武赵继业钟石强杨旭 Elio Guidetti 吴永强 Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China ST Microelectronics 39 Chemin du Camp-des-Filles 1228 Plan Les Ouates Geneva Switzerland

This paper introduces the microarchitecture and physical implementation of the Godson-2E processor, which is a four-issue superscalar RISC processor that supports the 64-bit MIPS instruction set. The adoption of the aggressive out-of-order execution and memory hierarchy techniques help Godson-2E to achieve high performance. The Godson-2E processor has been physically designed in a 7-metal 90nm CMOS process using the cell-based methodology with some bitsliced manual placement and a number of crafted cells and macros. The processor can be run at 1GHz and achieves a SPEC CPU2000 rate higher than 500.

关键词： general-purpose processor superscalar pipeline out-of-order execution non-blocking cache physical design,synthesis flow bit-sliced placement crafted cell performance evaluation

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Network-worm-control technology based on the front buffer two-stage leaky bucket algorithm

Network-worm-control technology based on the front buffer tw...

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2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010

作者： Wang, Chundong Chang, Qing Deng, Quancai Wang, Huaibin Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9781424470488

A new network-worm-control technology is proposed after having fully analyzed the differences between worm and normal connection requests. Considering the worm characteristic of attacking unique port and dispersing IP addresses, the method uses multiple data sets according to the different ports to avoid the influence among the ports. Aiming at the normal connection characteristic of ephemeral bursting out, the method takes advantage of two-stage leaky bucket to control the output of delay queues. The method can not only shorten the period of staying in the delay queue of normal requests, but also prevent the worms. The analysis shows that this method plays a significant role before the outburst of the worms. © 2010 IEEE.

关键词： IP addresses IP networks computer network security delay queues front buffer two-stage leaky bucket algorithm invasive software multiple data sets network-worm-control technology queueing theory

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Review of GAN-Based Research on Chinese Character Font Generation

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Chinese Journal of Electronics 2024年第3期33卷 584-600页

作者： Xuanhong WANG Cong LI Zengguo SUN Luying HUI Xi'an University of Posts and Telecommunications School of Computer Science Shaanxi Normal University Key Laboratory of Intelligent Computing and Service Technology for Folk Song Ministry of Culture and Tourism

With the rapid development of deep learning,generative adversarial network(GAN) has become a research hotspot in the field of computer *** has a wide range of applications in image *** by GAN,a series of models of Chinese character font generation have been proposed in recent *** this paper,the latest research progress of Chinese character font generation is analyzed and *** and its development history are ***-based methods for Chinese character font generation are clarified as well as their improvements,based on whether the specific elements of Chinese characters are *** public datasets used for font generation are summarized in detail,and various application scenarios of font generation are *** evaluation metrics of font generation are systematically summarized from both qualitative and quantitative *** paper contributes to the in-depth research on Chinese character font generation and has a positive effect on the inheritance and development of Chinese culture with Chinese characters as its carrier.

关键词： Generative adversarial network Font generation Image-to-image translation Deep learning

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Searching desktop files based on access logs

Searching desktop files based on access logs

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18th International Conference on Database systems for Advanced Applications, DASFAA 2013

作者： Li, Yukun Zhao, Xiyan Xiao, Yingyuan Wang, Xiaoye Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300384 Tianjin China

ISBN: (纸本)9783642374494

People often meet trouble in searching a desktop file when they can not remember exact words of its filename. In this paper, we firstly propose an algorithm to generate access logs by monitoring desktop operations and implement a prototype. By running it in several computers of selected participants we collected a data set of access logs. Then we propose a graph model to represent personal desktop files and their relationships, and highlight two file relationships(content relationship and time relationship) to help users search desktop files. Based on the graph model, we propose a desktop search method, and the experimental results show the feasibility and effectiveness of our methods. © Springer-Verlag 2013.

关键词： Graph theory

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Exploring implicit influence for social recommendation based on GNN

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Soft computing 2024年第19期28卷 11001-11014页

作者： Liu, Zhewei Yang, Peilin Hao, Qingbo Zheng, Wenguang Xiao, Yingyuan Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

In recent years, the method of using graph neural networks (GNN) to learn users’ social influence has been widely applied to social recommendation and has shown effectiveness, but several important challenges have not been well addressed: (i) Most work fails to consider the user interests (historical user-item interactions) when first building user-user social relationships, which can make it difficult to capture accurate user embedding and thus prevent the model from better exploring the users’ social influence;(ii) Most of the current methods do not build social neighbors (with the same item-user interaction) that belong to the item and do not aggregate information from the perspective of social neighbors, which makes it possible for the item to lose a lot of details when expressing the user’s interest factors. Therefore, to address the above challenges, we propose Exploring Implicit Influence for Social Recommendation Based on GNN (EIIGNN). First, we construct the initial user embedding with user-item interaction information and use the implicit modeling module in user modeling to explore the implicit influence of interest factors on users. In addition, EIIGNN models the social graph structure of item (an item-item graph) so that item can aggregate information from the perspective of their social neighbors, which helps the model learn a more accurate representation of the item. Finally, extensive experimental results on two real-world datasets clearly demonstrate the effectiveness of EIIGNN. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Graph neural networks

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Effcient Distributed Skyline Queries for Mobile Applications

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Journal of Computer Science & technology 2010年第3期25卷 523-536页

作者：肖迎元陈跃国 Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System Tianjin University of Technology School of Computing National University of Singapore Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China

In this paper, we consider skyline queries in a mobile and distributed environment, where data objects are distributed in some sites （database servers） which are interconnected through a high-speed wired network, and queries are issued by mobile units （laptop, cell phone, etc.） which access the data objects of database servers by wireless channels. The inherent properties of mobile computing environment such as mobility, limited wireless bandwidth, frequent disconnection, make skyline queries more complicated. We show how to efficiently perform distributed skyline queries in a mobile environment and propose a skyline query processing approach, called efficient distributed skyline based on mobile computing （EDS-MC）. In EDS-MC, a distributed skyline query is decomposed into five processing phases and each phase is elaborately designed in order to reduce the network communication, network delay and query response time. We conduct extensive experiments in a simulated mobile database system, and the experimental results demonstrate the superiority of EDS-MC over other skyline query processing techniques on mobile computing.

关键词： skyline distributed query processing mobile database system

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