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SSRN 2023年

作者： Zhang, Xiaorui Zhang, Wenzheng Sun, Wei Song, Aiguo Xu, Tong Engineering Research Center of Digital Forensics Ministry of Education Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science & Technology Nanjing210044 China Wuxi Research Institute Nanjing University of Information Science & Technology Wuxi214100 China School of Automation Nanjing University of Information Science & Technology Nanjing210044 China State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and Control School of Instrument Science and Engineering Southeast University Nanjing210096 China University of Southern California Los AngelesCA United States

Flexible tissue modeling plays an important role in the field of telemedicine. It is related to whether the soft tissue deformation process can be accurately, real-time and vividly simulated during surgery. However, most existing models lack the unique biological characteristics. To solve this problem, a high-fidelity virtual liver model incorporating biological characteristics, such as the viscoelastic, anisotropic and nonlinear biological characteristics, is proposed based on the finite element model. When simulating the resection of diseased livers, the model undergoes a plastic deformation process where the model loses elasticity due to excessive deformation, but does not reach the cutting fracture threshold. To improve the fidelity of the liver model, this study is the first to introduce the viscoplasticity of biological tissues to the liver model. The 3DMax2020 and OpenGL4.6 were used to build a liver surgery simulation platform, and the PHANTOM OMNI manual controller was used to sense the feedback force during the operation. The proposed model was verified from three aspects of accuracy, fidelity and real-time performance. The experimental results show that the proposed virtual liver model can enhance visual perception ability, improve deformation accuracy and fidelity. © 2023, The Authors. All rights reserved.

关键词： Simulation platform

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A Privacy-Preserving Image Retrieval Based on AC-Coefficients and Color Histograms in Cloud Environment

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computers, Materials & Continua 2019年第1期58卷 27-43页

作者： Zhihua Xia Lihua Lu Tong Qiu H.J.Shim Xianyi Chen Byeungwoo Jeon Jiangsu Engineering Centre of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment TechnologySchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China College of Information&Communication Engineering Sungkyunkwan UniversityKorea

Content based image retrieval(CBIR)techniques have been widely deployed in many applications for seeking the abundant information existed in *** to large amounts of storage and computational requirements of CBIR,outsourcing image search work to the cloud provider becomes a very attractive option for many owners with small ***,owing to the private content contained in images,directly outsourcing retrieval work to the cloud provider apparently bring about privacy problem,so the images should be protected carefully before *** paper presents a secure retrieval scheme for the encrypted images in the YUV color *** this scheme,the discrete cosine transform(DCT)is performed on the Y *** resulting DC coefficients are encrypted with stream cipher technology and the resulting AC coefficients as well as other two color components are encrypted with value permutation and position *** the image owner transmits the encrypted images to the cloud *** receiving a query trapdoor form on query user,the server extracts AC-coefficients histogram from the encrypted Y component and extracts two color histograms from the other two color *** similarity between query trapdoor and database image is measured by calculating the Manhattan distance of their respective ***,the encrypted images closest to the query image are returned to the query user.

关键词： Image retrieval AC-coefficients histogram color histogram discrete cosine transform

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Lever Arm Compensation of Autonomous Underwater Vehicle for Fast Transfer Alignment

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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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Fusion of Internal Similarity to Improve the Accuracy of Recommendation Algorithm

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Journal on Internet of Things 2021年第2期3卷 65-76页

作者： Zejun Yang Denghui Xia Jin Liu Chao Zheng Yanzhen Qu Yadang Chen Chengjun Zhang School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Yukun(Beijing)Network Technology Co. Ltd.Beijing102200China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China School of Computer Science and Technology Colorado Technical UniversityColorado Springs80907USA

Collaborative filtering algorithms(CF)and mass diffusion(MD)algorithms have been successfully applied to recommender systems for years and can solve the problem of information ***,both algorithms suffer from data sparsity,and both tend to recommend popular products,which have poor diversity and are not suitable for real *** this paper,we propose a user internal similarity-based recommendation algorithm(UISRC).UISRC first calculates the item-item similarity matrix and calculates the average similarity between items purchased by each user as the user’s internal *** internal similarity of users is combined to modify the recommendation score to make score predictions and *** experiments on RYM and *** datasets,the results show that UISRC can obtain better recommendation accuracy and a variety of recommendations than traditional CF and MD algorithms.

关键词： Collaborative filtering mass diffusion recommendation accuracy recommendation system user internal similarity

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A Dual-Chaining Watermark Scheme for Data Integrity Protection in Internet of Things

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computers, Materials & Continua 2019年第3期58卷 679-695页

作者： Baowei Wang Weiwen Kong Wei Li Neal NXiong Jiangsu Engineering Centre of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment TechnologySchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Engineering Research Center of Electronic Information and Control from Fujian Provincial Education Department Fuzhou350108China Department of Mathematics and Computer Science Northeastern State UniversityOklahomaUSA.

Chaining watermark is an effective way to verify the integrity of streaming data in wireless network environment,especially in resource-constrained sensor networks,such as the perception layer of Internet of Things ***,in all existing single chaining watermark schemes,how to ensure the synchronization between the data sender and the receiver is still an unsolved *** the synchronization points are attacked by the adversary,existing data integrity authentication schemes are difficult to work properly,and the false negative rate might be up to 50 *** the additional fixed group delimiters not only increase the data size,but are also easily detected by *** this paper,we propose an effective dual-chaining watermark scheme,called DCW,for data integrity protection in smart campus IoT *** proposed DCW scheme has the following three characteristics:(1)In order to authenticate the integrity of the data,fragile watermarks are generated and embedded into the data in a chaining way using dynamic grouping;(2)Instead of additional fixed group delimiters,chained watermark delimiters are proposed to synchronize the both transmission sides in case of the synchronization points are tampered;(3)To achieve lossless integrity authentication,a reversible watermarking technique is *** experimental results and security analysis can prove that the proposed DCW scheme is able to effectively authenticate the integrity of the data with free distortion at low cost in our smart meteorological Internet of Things system.

关键词： Dual-chaining reversible watermark integrity authentication Internet of things.

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Real-time image carrier generation based on generative adversarial network and fast object detection

Real-time image carrier generation based on generative adver...

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作者： Li, Chuanlong Sun, Xingming Zhou, Zhili Yang, Yimin School of Computer and Software Nanjing University of Information Science and Technology Ning Liu Road No. 219 Nanjing210044 China Jiangsu Engineering Centre of Network Monitoring Ning Liu Road No. 219 Nanjing210044 China Department of Computer Science Lakehead University Thunder Bay Canada

Image steganography aims to conceal the secret information inside another carrier image. And by embedding the information into the carrier image, the carrier image may suffer certain image distortion. Thus, not only the hiding algorithm should be carefully designed, but also the carrier image should be meticulously selected during the hiding process. This paper follows the idea of creating suitable cover images instead of selecting the ones by presenting a unified architecture which combines real-time object detection based on convolutional neural network, local style transfer using generative adversarial network and steganography together to realize real-time carrier image generation. The object in the carrier image is first detected using a fast object detector and then the detected area is reconstructed through a local generative network. The secret message is embedded into the intermediate generated images during the training process in order to generate an image which is suitable as an image carrier. The experimental results show that the reconstructed stego images are nearly indistinguishable to both human eyes and steganalysis tools. Furthermore, the whole carrier image generation process with GPU implementation can achieve around 5 times faster than the regular CPU implementation which meets the requirement of real-time image processing. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Steganography

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Survey on the Loss Function of Deep Learning in Face Recognition

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Journal of Information Hiding and Privacy Protection 2021年第1期3卷 29-45页

作者： Jun Wang Suncheng Feng Yong Cheng Najla Al-Nabhan Director of Science and Technology Industry Department Nanjing University of Information Science&TechnologyNanjingChina School of Computer&Software Jiangsu Engineering Center of Network MonitoringNanjing University of Information Science&TechnologyNanjingChina Science and Technology Industry Department Nanjing University of Information Science&TechnologyNanjingChina Deptratment of Computer Science King Saud UniversityRiyadhSaudi Arabia

With the continuous development of face recognition network,the selection of loss function plays an increasingly important role in improving *** loss function of face recognition network needs to minimize the intra-class distance while expanding the inter-class *** far,one of our mainstream loss function optimization methods is to add penalty terms,such as orthogonal loss,to further constrain the original loss *** other is to optimize using the loss based on angular/cosine *** last is Triplet loss and a new type of joint optimization based on HST Loss and ACT *** this paper,based on the three methods with good practical performance and the joint optimization method,various loss functions are thoroughly reviewed.

关键词： Loss function face recognition orthogonality loss ArcFace the joint loss

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Analysis and Improvement of Steganography Protocol Based on Bell States in Noise Environment

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computers, Materials & Continua 2019年第5期59卷 607-624页

作者： Zhiguo Qu Shengyao Wu Wenjie Liu Xiaojun Wang Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China School of Computer&Software Nanjing University of Information Science and TechnologyNanjing210044China School of Electronic Engineering Dublin City UniversityDublinIreland

In the field of quantum communication,quantum steganography is an important branch of quantum information *** a realistic quantum communication system,quantum noises are unavoidable and will seriously impact the safety and reliability of the quantum steganographic ***,it is very important to analyze the influence of noise on the quantum steganography protocol and how to reduce the effect of *** paper takes the quantum steganography protocol proposed in 2010 as an example to analyze the effects of noises on information qubits and secret message qubits in the four primary quantum noise *** results show that when the noise factor of one quantum channel noise is known,the size of the noise factor of the other quantum channel can be adjusted accordingly,such as artificially applying noise,so that the influence of noises on the protocol is *** addition,this paper also proposes a method of improving the efficiency of the steganographic protocol in a noisy environment.

关键词： Quantum steganography quantum noise noise channel fidelity efficiency

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Collaborative filtering-based recommendation system for big data

Collaborative filtering-based recommendation system for big ...

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作者： Shen, Jian Zhou, Tianqi Chen, Lina Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Guangxi Key Laboratory of Cryptography and Information Security Guilin China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China Guizhousheng College of Electronics and Information Guizhou China

Collaborative filtering algorithm is widely used in the recommendation system of e-commerce website, which is based on the analysis of a large number of users' historical behaviour data, so as to explore the users' interest and recommend the appropriate products to users. In this paper, we focus on how to design a reliable and highly accurate algorithm for movie recommendation. It is worth noting that the algorithm is not limited to film recommendation, but can be applied in many other areas of e-commerce. In this paper, we use Java language to implement a movie recommendation system in Ubuntu system. Benefiting from the MapReduce framework and the recommendation algorithm based on items, the system can handle large datasets. The experimental results show that the system can achieve high efficiency and reliability in large datasets. © 2020 Inderscience Enterprises Ltd.

关键词： Collaborative filtering

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A High-Fidelity Virtual Liver Model Incorporating Biological Characteristics

SSRN

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SSRN 2022年

作者： Zhang, Xiaorui Zhang, Wenzheng Sun, Wei Song, Aiguo Xu, Tong Wuxi Research Institute Nanjing University of Information Science & Technology Wuxi214100 China Engineering Research Center of Digital Forensics Ministry of Education Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science & Technology Nanjing210044 China School of Automation Nanjing University of Information Science & Technology Nanjing210044 China State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and Control School of Instrument Science and Engineering Southeast University Nanjing210096 China University of Southern California Los AngelesCA United States

Flexible tissue modeling plays an important role in the field of telemedicine. It is related to whether the soft tissue deformation process can be accurately, real-time and vividly simulated during surgery. Most existing models lack the unique biological characteristics. To enhance visual perception ability, a high-fidelity virtual liver model incorporating biological characteristics, such as the viscoelastic, anisotropic and nonlinear biological characteristics, is proposed based on the finite element model with the fourth-order Runge-Kutta method. When simulating the resection of diseased livers, the model undergoes a plastic deformation process where the model loses elasticity due to excessive deformation, but does not reach the cutting fracture threshold. To improve the fidelity of the liver model, this study is the first to introduce the viscoplasticity of biological tissues to the liver model. The 3DMax2020 and OpenGL4.6 were used to build a liver surgery simulation platform, and the PHANTOM OMNI manual controller was used to sense the feedback force during the operation. The proposed model was verified from three aspects of accuracy, fidelity and real-time performance. The experimental results show that the proposed virtual liver model can achieve real visual reproduction, with natural deformation effect, accurate simulation and high fidelity. © 2022, The Authors. All rights reserved.

关键词： Simulation platform

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