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Lever Arm Compensation of Autonomous Underwater Vehicle for Fast Transfer Alignment

computers, Materials & Continua 2019年第4期59卷 105-118页

作者： Qi Wang Changsong Yang Shaoen Wu Yuxiang Wang School of Computer and software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China Department of Computer Science Ball State UniversityMuncie 47306USA

Transfer alignment is used to initialize SINS(Strapdown Inertial Navigation System)in ***-arm effect compensation is studied existing in an AUV(Autonomous Underwater Vehicle)before launched from the mother *** AUV is equipped with SINS,Doppler Velocity Log,depth sensor and other navigation *** lever arm will cause large error on the transfer alignment between master inertial navigation system and slave inertial navigation system,especially in big ship *** paper presents a novel method that can effectively estimate and compensate the flexural lever arm between the main inertial navigation system mounted on the mother ship and the slave inertial navigation system equipped on the *** nonlinear measurement equation of angular rate is derived based on three successive rotations of the body frame of the master inertial navigation *** filter is utilized as the nonlinear estimator for its capability of non-linear *** analysis was conducted on the SINS state vector based on singular value decomposition *** equation of SINS was adopted as the system state *** experiments were conducted and results showed that the proposed method can estimate the flexural lever arm more accurately,the precision of transfer alignment was improved and alignment time was shortened accordingly.

关键词： Transfer alignment SINS lever-arm effect AUV observability analysis

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Quantum Algorithms and Experiment Implementations Based on IBM Q

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computers, Materials & Continua 2020年第11期65卷 1671-1689页

作者： Wenjie Liu Junxiu Chen Yinsong Xu Jiahao Tang Lian Tong Xiaoyu Song Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Engineering Jiangsu Maritime InstituteNanjing211100China Department of Electrical and Computer Engineering Portland State UniversityOregon97207USA

With the rapid development of quantum theory and technology in recent years,especially the emergence of some quantum cloud computing platforms,more and more researchers are not satisfied with the theoretical derivation and simulation verification of quantum computation(especially quantum algorithms),experimental verification on real quantum devices has become a new *** this paper,three representative quantum algorithms,namely Deutsch-Jozsa,Grover,and Shor algorithms,are briefly depicted,and then their implementation circuits are presented,*** program these circuits on python with QISKit to connect the remote real quantum devices(i.e.,ibmqx4,ibmqx5)on IBM Q to verify these *** experimental results not only show the feasibility of these algorithms,but also serve to evaluate the functionality of these devices.

关键词： Quantum algorithms implementation circuit IBM Q QISKit program

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A Survey of Image Super Resolution Based on CNN 9th

A Survey of Image Super Resolution Based on CNN

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9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019

作者： Xu, Qianxiong Zheng, Yu School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology NanjingJiangsu210044 China

ISBN: (纸本)9783030485122

With the advent of the information age in contemporary society, images are everywhere, no matter in military use or in daily life. Therefore, as a medium for people to obtain information, images have become more and more important. With the fast development of deep convolution neural networks (DCNNs), Single-Image Super-Resolution (SISR) becomes one of the techniques that have made great breakthroughs in recent years. In this paper, we give a brief survey on the task of SISR. In general, we introduce the SR problem, some recent SR methods, public benchmark datasets and evaluation metrics. Finally, we conclude by denoting some points that could be further improved in the future. © 2020, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Surveys

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Long short term memory model for analysis and forecast of PM2.5 4th

Long short term memory model for analysis and forecast of PM...

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4th International Conference on Cloud Computing and Security, ICCCS 2018

作者： Yan, Leiming Zhou, Min Wu, Yaowen Yan, Luqi Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9783030000059

Atmospheric PM2.5 is a pollutant that has a major impact on the atmospheric environment and human health. Based on LSTM, we construct two prediction models, Stack LSTM and Encoder-Decoder, and evaluate the prediction performance of the model through four years of meteorological data training and testing models in Nanjing, Beijing, and Sanya. In the experiment, using the meteorological factors, contaminant factors, seasonal factors, and the normalized results of PM2.5 as input, the daily average PM2.5 concentration is predicted from 1 to 3 days. Experimental results show that the LSTM model has better performance than Random Forest and Encoder-Decoder. Using Nanjing as an example, comparing the forecast results of Nanjing PM2.5 with the data released by the environmental authorities, it is found that the value of the PM2.5 concentration predicted by the LSTM model is very close to the value of PM2.5 monitored by Nanjing’s environmental authorities. In prediction of PM2.5 for three consecutive days, the Root Mean Square Error (RMSE) of the LSTM model is only 18.96. Under the LSTM model, the prediction result of the three cities are better than other prediction models, which shows that the LSTM model has a good adaptability in predicting the PM2.5 concentration. © Springer Nature Switzerland AG 2018.

关键词： Long short-term memory

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Extracting regular behaviors from social media networks

Extracting regular behaviors from social media networks

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3rd International Conference on Multimedia Information networking and Security, MINES 2011

作者： Yan, Leiming Wang, Jinwei School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9780769545592

Social media network analysis has become very popular in recent years. How do real networks evolve over time? What are the normal evolving behaviors in a social media network? In order to extract behaviors occurring regularly to reveal the microscopic evolving properties in social networks, the evolving process of networks is modeled as stochastic states transition, and the evolving behaviors are described as topological structure changes of a series of sub graphs. Then, based on Maximal Frequent Sub graph mining technology, RB Miner (Regular Behaviors Miner) algorithm is proposed to identify such regular behaviors in network dataset. The empirical evaluation using both synthetic and real dataset verifies that the proposed algorithm is valid, and the regular behavior patterns show more dynamic information hidden in evolving social networks than normal frequent sub graph patterns. © 2011 IEEE.

关键词： Miners

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Illumination invariant and face recognition based on homomorphic filtering and LoG operator1

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International Journal of Advancements in Computing Technology 2012年第21期4卷 17-24页

作者： Fan, Chun-Nian Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China

In order to eliminate the effect of varying illumination on face recognition, a novel illumination invariant method based on homomorphic filtering and LoG operator is proposed. The method first performs homomorphic filtering on image under various lighting conditions, whose key component is a Difference of Gaussian (DoG) filter, which can effectively reduce the effect of varying illumination. Then a LoG operator is used for illumination invariant extraction. Experimental results on the Yale face database B and CMU PIE database show that the proposed method can effectively eliminate the effect of varying illumination on face recognition, and the extracted illumination invariant is robust.

关键词： Face recognition

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Improved locality-sensitive hashing method for the approximate nearest neighbor problem

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Chinese Physics B 2014年第8期23卷 217-225页

作者：陆颖华马廷淮钟水明曹杰王新 Abdullah Al-Dhelaane Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer & Software Nanjing University of Information Science & Technology School of Economic & Management Nanjing University of Information Science & Technology Huafeng Meteorological Media Group Computer Science Department College of Computer and Information Science King Saud University

In recent years, the nearest neighbor search （NNS） problem has been widely used in various interesting applications. Locality-sensitive hashing （LSH）, a popular algorithm for the approximate nearest neighbor problem, is proved to be an efficient method to solve the NNS problem in the high-dimensional and large-scale databases. Based on the scheme of p-stable LSH, this paper introduces a novel improvement algorithm called randomness-based locality-sensitive hashing （RLSH） based on p-stable LSH. Our proposed algorithm modifies the query strategy that it randomly selects a certain hash table to project the query point instead of mapping the query point into all hash tables in the period of the nearest neighbor query and reconstructs the candidate points for finding the nearest neighbors. This improvement strategy ensures that RLSH spends less time searching for the nearest neighbors than the p-stable LSH algorithm to keep a high recall. Besides, this strategy is proved to promote the diversity of the candidate points even with fewer hash tables. Experiments are executed on the synthetic dataset and open dataset. The results show that our method can cost less time consumption and less space requirements than the p-stable LSH while balancing the same recall.

关键词： approximate nearest neighbor problem locality-sensitive hashing

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A significance-driven framework for characterizing and finding evolving patterns of news networks

A significance-driven framework for characterizing and findi...

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4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012

作者： Yan, Leiming Wang, Jinwei Han, Jin Wang, Yuxiang School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China

ISBN: (纸本)9783642334771

Social network analysis has become extremely popular in recent years. What are the most significant evolving behaviors in a social network? It is very difficult to find significant evolving behaviors from a large network in a long evolving time interval. Besides, verifying and evaluating enormous dynamic patterns extracted from a large social network by experts are also too hard to generalize well. In this work, a significance-driven framework is proposed to characterize the evolution of local topology and find dynamic patterns with evidently statistical significance for temporally varying news report networks. Two significance indices-potential index and evolving score are introduced for evaluating evolving patterns. Finally, we present a systematic analysis of one real news network, which demonstrates that the method we proposed can find the evolving characteristic and extract significant dynamic patterns from news networks. © 2012 Springer-Verlag.

关键词： computers

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Partial-duplicate image retrieval using spatial and visual contextual clues

Partial-duplicate image retrieval using spatial and visual c...

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作者： Sun, Wendi Wang, Tao Zhou, Zhili School of Computer and Software and Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing210044 China

The traditional bag-of-visual-words (BOW) model quantifies the local features to the visual words to achieve efficient content-based image retrieval. However, since it causes considerable quantisation error and ignores the spatial relationships between visual words, the accuracy of partial-duplicate image retrieval based on BOW model is limited. In order to reduce the quantisation error and improve the discriminability of visual words, many partial-duplicate image retrieval methods have been proposed, which make use of the advantages of the geometric clues between visual words. In this paper, we propose a novel partial-duplicate scheme by using both spatial and visual contextual clues for removing the false matches effectively, which not only encodes the relationships of orientation, distance and dominant orientation between the referential visual word and its context, but also takes the colour information between visual words into consideration. Experimental results reveal that our proposed algorithm achieves superior performance to the state-of-the-art methods for partial-duplicate image retrieval. Copyright © 2020 Inderscience Enterprises Ltd.

关键词： Image enhancement

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Secure storage of data in cloud computing 10

Secure storage of data in cloud computing

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10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

作者： Fu, Zhangjie Cao, Xinyue Wang, Jin Sun, Xingming School of Computer and Software and Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing210044 China

ISBN: (纸本)9781479953905

Cloud storage brings convenient storage of data, at the same time there are also hidden security issues. Data storage security includes legal access to the data stored in the cloud, namely access authorization and authentication security data sharing and the encryption of stored data to ensure data confidentiality, consisting of the accessibility to effective cryptographic data and inaccessibility to the deleted cryptographic data, using tamper-proof technology to ensure the integrity of the data, as well as using tracking technology to ensure data traceability. This paper focuses on the file systems with secure data deletion. We design a file system which supports secure deletion of data. It uses CP-ABE which supports fine-grained access policy to encrypt files. © 2014 IEEE.

关键词： Cloud storage

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