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arXiv 2018年

作者： Liu, Risheng Ma, Long Wang, Yiyang Zhang, Lei DUT-RU International School of Information Science & Engineering Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province Dalian University of Technology Dalian China State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Institute of Atmospheric Sciences Fudan University Shanghai Institute of Meteorological Science Shanghai China Department of Computing Hong Kong Polytechnic University Hong Kong

Enhancing visual qualities of images plays very important roles in various vision and learning applications. In the past few years, both knowledge-driven maximum a posterior (MAP) with prior modelings and fully data-dependent convolutional neural network (CNN) techniques have been investigated to address specific enhancement tasks. In this paper, by exploiting the advantages of these two types of mechanisms within a complementary propagation perspective, we propose a unified framework, named deep prior ensemble (DPE), for solving various image enhancement tasks. Specifically, we first establish the basic propagation scheme based on the fundamental image modeling cues and then introduce residual CNNs to help predicting the propagation direction at each stage. By designing prior projections to perform feedback control, we theoretically prove that even with experience-inspired CNNs, DPE is definitely converged and the output will always satisfy our fundamental task constraints. The main advantage against conventional optimization-based MAP approaches is that our descent directions are learned from collected training data, thus are much more robust to unwanted local minimums. While, compared with existing CNN type networks, which are often designed in heuristic manners without theoretical guarantees, DPE is able to gain advantages from rich task cues investigated on the bases of domain knowledges. Therefore, DPE actually provides a generic ensemble methodology to integrate both knowledge and data-based cues for different image enhancement tasks. More importantly, our theoretical investigations verify that the feed-forward propagations of DPE are properly controlled toward our desired solution. Experimental results demonstrate that the proposed DPE outperforms state-of-the-arts on a variety of image enhancement tasks in terms of both quantitative measure and visual perception quality. Copyright © 2018, The Authors. All rights reserved.

关键词： Image enhancement

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Effect of heat shield on the heating efficiency in MOCVD chamber by resistive heating

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Journal of Physics: Conference Series 2019年第2期1187卷

作者： Lili Zhao Zhiming Li Jincheng Zhang Runqiu Guo Ligen Lu Lansheng Feng Shandong Provincial Key Laboratory of Network based Intelligent Computing School of Information Science and Engineering University of Jinan 250022 Jinan China State Key Discipline Laboratory of Wide Band-Gap Semiconductor Technology School of Microelectronics Xidian University710071 Xi'an China School of Mechano-Electronic Engineering Xidian University 710071 Xi'an China

In the conventional resistive heating systems, the heating efficiency of the resistance heating system is too low. In this work, by adding heat shield in the traditional heating structure. The effects of factors such as the number of layers, spacing and thickness of the heat shields on the heating efficiency of the heating system with a diameter of 12 inches are investigated. The results show that the heat shields significantly improve the heating efficiency compared to the heating systems without heat shields. When the number of layers of the heat shields is 3, the efficiency of the heating system is increased by about 26%.

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A User-Centric Data Secure Creation Scheme in Cloud computing

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Chinese Journal of Electronics 2016年第4期25卷 753-760页

作者： SU Mang LI Fenghua SHI Guozhen GENG Kui XIONG Jinbo School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences Department of Information Security Beijing Electronic Science and Technology Institute State Key Laboratory of Integrated Services Network Xidian University

Due to the use of the cloud computing technology,the ownership is separated from the administration of the data in cloud and the shared data might be migrated between different clouds,which would bring new challenges to data secure creation,especially for the data privacy *** propose a User-centric data secure creation scheme(UCDSC) for the security requirements of resource owners in *** this scheme,a data owner first divides the users into different *** data owner encrypts data and defines different secure managing policies for the data according to *** encrypt the data in UCDSC,we present an algorithm based on Access control conditions proxy re-encryption(ACC-PRE),which is proved to be master secret secure and Chosen-ciphertext attack(CCA) secure in random oracle *** give the application protocols and make the comparisons between some existing approaches and UCDSC.

关键词： User-centric ACC-PRE Data creation Master secret secure CCA

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Reverse Furthest Neighbors Query in Road networks

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Journal of Computer Science & technology 2017年第1期32卷 155-167页

作者： Xiao-Jun Xu Jin-Song Bao Bin Yao Jing-Yu Zhou Fei-Long Tang Min-Yi Guo Jian-Qiu Xu School of Software Beijing Institute of Technology Beijing 100081 China First Research Institute of Ministry of Public Security Beijing 100048 China College of Mechanical Engineering Donghua University Shanghai 200051 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai 200240 China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Given a road network G = （V, E）, where V（E） denotes the set of vertices（edges） in G, a set of points of interest P and a query point q residing in G, the reverse furthest neighbors （RFNR） query in road networks fetches a set of points p ∈ P that take q as their furthest neighbor compared with all points in P ∪ {q}. This is the monochromatic RFNR （MRFNR） query. Another interesting version of RFNR query is the bichromatic reverse furthest neighbor （BRFNR） query. Given two sets of points P and Q, and a query point q ∈ Q, a BRFNR query fetches a set of points p ∈ P that take q as their furthest neighbor compared with all points in Q. This paper presents efficient algorithms for both MRFNR and BRFNR queries, which utilize landmarks and partitioning-based techniques. Experiments on real datasets confirm the efficiency and scalability of proposed algorithms.

关键词： reverse furthest neighbor road network landmark hierarchical partition

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A Vehicular Positioning Enhancement with Connected Vehicle Assistance Using Extended Kalman Filtering 1st

A Vehicular Positioning Enhancement with Connected Vehicle A...

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1st International Conference on 5G for Future Wireless networks, 5GWN 2017

作者： Tian, Daxin Liu, Wenhao Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach called CV-IMM-EKF. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Global positioning system

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Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish 1st

Modeling and Simulation on Cooperative Movement of Vehicle G...

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1st International Conference on 5G for Future Wireless networks, 5GWN 2017

作者： Tian, Daxin Kang, Lu Zheng, Kunxian Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No.37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No.68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No.30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No.37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the cooperative movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicles

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REFF: REliable and Fast Forwarding in Vehicular Ad-hoc network 1st

REFF: REliable and Fast Forwarding in Vehicular Ad-hoc Netwo...

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1st International Conference on 5G for Future Wireless networks, 5GWN 2017

作者： Tian, Daxin Dai, Ziyi Zheng, Kunxian Zhou, Jianshan Duan, Xuting Guo, Peng Rong, Hui Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Vehicular Ad-Hoc network (VANET) has emerged as an increasingly dominant technology for future connected vehicle and vehicular networks, where the focus of the development of VANET lies in the standardization of message transmission and dissemination via multi-hop broadcasting. However, the current communication protocols concerning VANET face many challenges, including data flooding and collision, transmission delay and other problems. Most of the challenges are closely related to next-hop selection. Therefore, this paper proposes a new routing protocol named REliable and Fast Forwarding (REFF) to optimize the selection of nodes in VANET. In this protocol, node filtering and node evaluation are two main steps. Distance between previous node and candidate node, relative velocity between previous node and candidate nodes, included angle between direction of target node’s velocity and candidate node’s velocity and transmission power of candidate node are adopted as indexes to help select a specific node as the next hop using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). By using this technique, the number of candidates as next-hop is largely reduced, avoiding the data flooding and resulting transmission relay. In addition, simulations based on experiments are done to verify the feasibility. The results show that message achieves a faster and more reliable transmission using REFF. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicular ad hoc networks

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Web-Logs Prediction with Web Mining

Web-Logs Prediction with Web Mining

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IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference

作者： Muhammad Umair Hassan Kamran Shaukat Dongmie Niu Sundas Mahreen Yingjun Ma Xiuyang Zhao Muhammad Ahmad Shabir Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China Department of Information Technology University of the Punjab Jhelum Pakistan

Web Mining is defined as the use of Data Mining techniques to extract information from web, automatically. Web Mining techniques are widely used to observe user patterns accessing the web server logs. Web logs are the entries of different users accessing different topics on the web and observed by web server. In this paper, the patterns are extracted from educational institute's website and observed by using WEKA tool. The number of visitors and hits and the bandwidth used by the users are all determined with different perspectives. This work is done to analyze user's behavior and their interests that will be used to predict the future patterns of the website.

关键词： Data mining Web mining Web logs Preprocessing

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Numerical Investigation of Pallet Structure with Annular Slot in MOVPE Chamber

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IOP Conference Series: Earth and Environmental Science 2019年第2期371卷

作者： Zhiming Li Ligen Lu Hailing Li Runqiu Guo Lansheng Feng Shandong Provincial Key Laboratory of Network based Intelligent Computing School of Information Science and Engineering University of Jinan 250022 Jinan China Shandong College of Electronic Technology 250022 Jinan China School of Mechano-Electronic Engineering Xidian University 710071 Xi'an China

A pallet structure with an annular slot is proposed in the perpendicular MOVPE chamber by electromagnetic heating Compared with the conventional pallet, the shape of the slot changes the directions of the thermal conduction in the pallet, which makes the temperature distribution of the substrate more uniform. The optimized pallet structure which makes the most uniform temperature profile of the substrate is also given. In addition, the intervals of the applied parameters such as the current frequency, current strength and coil turns which keep the stable change of the substrate temperature are also obtained, by analyzing the change of the substrate temperature with the parameters. When one of the parameters is changed in the interval, the temperature magnitude can be adjusted while ensuring a certain uniformity of the temperature. This is beneficial to control the growth of the thin film.

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Multi-bit leveled homomorphic encryption via ***-based 12th

Multi-bit leveled homomorphic encryption via ***-based

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12th International Conference on Information security and Cryptology, INSCRYPT 2016

作者： Li, Zengpeng Ma, Chunguang Morais, Eduardo Du, Gang College of Computer Science and Technology Harbin Engineering University Harbin15001 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Institute of Computing University of Campinas Campinas13083-050 Brazil

ISBN: (纸本)9783319547046

Fully Homomorphic Encryption (FHE) is a cryptographic primitive that allows computing over encrypted data without decrypting the corresponding ciphertexts. In general, existing FHE schemes can be achieved using standard Learning with Errors (LWE) assumption and most of the schemes are single-bit encryption. Hence, the construction of multi-bit FHE with high efficiency remains an open problem in cryptography. In this paper, we propose multi-bit versions of Public key Encryption (PKE) via the dual LWE-based firstly proposed by Gentry, Peikert, and Vaikuntanathan at STOC 2008. We initially develop an universal construction derived from a general structure of the underlying combined public matrix for constructing the multi-bit version which increases the size of ciphertexts linearly. Then, utilizing multi-bit PKE scheme as building block, we propose a new multi-bit FHE scheme under the assumption of decisional LWE is hard and prove the scheme is IND-CPA-secure. © Springer International Publishing AG 2017.

关键词： Public key cryptography

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