检索结果-内蒙古大学图书馆

2nd IEEE International Conference on computer and Communications, ICCC 2016

作者： Zhou, Yu Zhao, Bo Han, Jin Jun, Zheng School of Computer Science and Software Engineering East China Normal University Shanghai China School of Software and Microelectronics Peking University Beijing China Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology China

ISBN: (纸本)9781467390262

Compared with traditional cryptography, biometric cryptosystems provide more convenient and safe protection of keys. In this paper, an effective scheme for biometric cryptosystems based on the intersections of hyper-plane and hashed discrete space is proposed. Only genuine feature vectors, which are located on the hyper-plane, find the correct solution. Several tricks are provided to ensure the security of proposed scheme. Experiments have shown that our method achieved approximate performance compared with one of the latest methods based on fuzzy vault. However, our method is less complex than fuzzy vault based methods. © 2016 IEEE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Combining active learning and semi-supervised for improving learning performance 11

Combining active learning and semi-supervised for improving ...

引用

4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11

作者： Ma, Tinghuai Ge, Jian Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing Jiangsu Province China School of Computer and Software Nanjing University of Information Science and Technology Nanjing Jiangsu Province China

ISBN: (纸本)9781450309134

In many learning tasks, there are abundant unlabeled samples but the number of labeled training samples is limited, because labeling the samples requires the efforts of human annotators and expertise. There are three major techniques for labeling the samples: semi-supervised learning, transductive learning and active learning. Semi-supervised and transductive learning deal with methods for automated exploiting unlabeled samples in addition to improve learning performance. Active learning deals with methods that assume the learner has control over the whole input space. So combing the advantage of semi-supervised learning and active learning is a practical technique for improving the learning performance. In this paper, a general framework of combing (Active Learning) AL and (Semi-Supervised Learning) SSL algorithms is proposed. Then the ensemble learning for combing AL and SSL algorithms is introduced, which is denoted by ASC (AL and SSL by Committee). At last, the ensemble learning and confidence measure of the ASC is discussed. © 2011 ACM.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

A novel convolution neural network for background segmentation recognition 4th

A novel convolution neural network for background segmentati...

引用

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

作者： Fang, Wei Ding, Yewen Zhang, Feihong School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (纸本)9783030000059

The convolution neural network for image classification is an application of deep learning on image processing. Convolutional neural networks have the advantage of being able to convolve directly with image pixels and extract image features from image pixels. This approach is closer to the treatment of the human brain’s visual system. However, up to now, it is impossible to achieve 100% classification accuracy regardless of any kind of convolutional neural network models. At the same time, we also found that sometimes the picture background will also affect the recognition effect of the neural network on the picture, and after removing the picture background, it can correctly recognize the same picture. Therefore, we design a model based on the convolutional neural network to remove the image background for some specific images (such as selfies, animals, flowers, etc.) here, and then the image after processing will be identified and classified. Experiments show that the proposed method can maintain a high level of integrity of the target to be detected in the image after removing the background (here the indicator is Intersection Over Union, IOU);moreover, through multiple classification models verify that the classification accuracy of some background-removed pictures is significantly higher than that of pictures without any treatment. © Springer Nature Switzerland AG 2018.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

The research of acceptance and scheduling scheme based on the overall network QoS

引用

2011 International Conference on Instrumentation, Measurement, Circuits and Systems, ICIMCS 2011

作者： Xu, Zhanyang Ping, Huang Li Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9783642273339

Many factors affect the QoS of network, and the congestion control mechanism is the most important one. In many references, the research on QoS is focused on the specific network architecture, while the QoS of overall network is still relatively seldom studied. In the paper, an acceptance and scheduling scheme based on the overall network QoS (ASSoQoS) proposed is a new acceptance and scheduling algorithm of the link traffic. At first, the data stream with the admission control strategy will be distributed in different weights , the data flow will get the link (with different weight) transmission scheduling to improve the overall network QoS , according to the allocated weight of a network link and status by real-time network monitoring. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

A Soft Tissue Acupuncture Model Based on Mass-Spring Force Ne

引用

computers, Materials & Continua 2021年第10期69卷 727-745页

作者： Xiaorui Zhang Tong Xu Wei Sun Jiali Duan Sunil Kumar Jha Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China Faculty of Information Technology University of Information Technology and ManagementRzeszow35-225Poland

In the simulation of acupuncture manipulation,it is necessary to accurately capture the information of acupuncture points and particles around ***,a soft tissue modeling method that can accurately track model particles is *** this paper,a soft tissue acupuncture model based on the mass-spring force net is *** is used as the auxiliary model and the SHF model is *** is used to establish a three-layer soft tissue model of skin,fat,and muscle,and a layer of the MSM based force network is covered on the surface of soft tissue to realize the complementary advantages and disadvantages of spherical harmonic function and *** addition,a springback algorithm is designed to simulate the springback phenomenon of soft tissue skin during *** evaluation results show that the soft tissue acupuncture modeling method based on mass-spring force net can effectively simulate the springback phenomenon of soft tissue surface during acupuncture surgery,and has good comprehensive performance in the application of virtual acupuncture surgery simulation.

关键词： Mass-spring model puncture simulation virtual surgery soft tissue simulation

来源：评论

学校读者我要写书评

暂无评论

A Three-Stage Cutting Simulation System Based on Mass-Spring Model

引用

computer Modeling in engineering & Sciences 2021年第4期127卷 117-133页

作者： Xiaorui Zhang Jiali Duan Wei Sun Tong Xu Sunil Kumar Jha Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China Faculty of Information Technology University of Information Technology and ManagementRzeszow35-225Poland

The cutting simulation of soft tissue is important in virtual *** includes three major challenges in computation:Soft tissue simulation,collision detection,and handling,as well as soft tissue *** order to address the earlier challenges,we propose a virtual cutting system based on the mass-spring *** this system,MSM is utilized to simulate the soft tissue *** stress is introduced to the model for simulating the shrinking effect of soft tissue in ***,a cylinder-based collision detection method is used to supervise the collision between surgical tools and soft ***,we simulate the cutting operation with a three-stage cutting method with swept volume,B´ezier curve,and an algorithm named shortest distance nodes matching *** order to verify the system performance,we carry out three validation experiments on the proposed system:Cutting accuracy experiment,collision detection validation,and practical cutting *** indicate that our system can well perform the shrinking effect of soft tissue in *** system has fast and accurate collision ***,the system can reconstruct smooth incisions vividly.

关键词： Mass-spring model collision algorithm virtual surgery soft tissue simulation

来源：评论

学校读者我要写书评

暂无评论

A Robust Watermarking Scheme Based on ROI and IWT for Remote Consultation of COVID-19

引用

computers, Materials & Continua 2020年第9期64卷 1435-1452页

作者： Xiaorui Zhang Wenfang Zhang Wei Sun Tong Xu Sunil Kumar Jha Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China IT Fundamentals and Education Technologies Applications University of Information Technology and Management in RzeszowRzeszow100031Poland

In the current dire situation of the corona virus COVID-19,remote consultations were proposed to avoid cross-infection and regional differences in medical ***,the safety of digital medical imaging in remote consultations has also attracted more and more attention from the medical *** ensure the integrity and security of medical images,this paper proposes a robust watermarking algorithm to authenticate and recover from the distorted medical images based on regions of interest(ROI)and integer wavelet transform(IWT).First,the medical image is divided into two different parts,regions of interest and non-interest *** the integrity of ROI is verified using the hash algorithm,and the recovery data of the ROI region is calculated at the same ***,binary images with the basic information of patients are processed by logistic chaotic map encryption,and then the synthetic watermark is embedded in the medical carrier image using IWT *** performance of the proposed algorithm is tested by the simulation experiments based on the MATLAB program in CT images of the *** results show that the algorithm can precisely locate the distorted areas of an image and recover the original ROI on the basis of verifying image *** maximum peak signal to noise ratio(PSNR)value of 51.24 has been achieved,which proves that the watermark is invisible and has strong robustness against noise,compression,and filtering attacks.

关键词： Digital watermarking logistic hash algorithm ROI IWT

来源：评论

学校读者我要写书评

暂无评论

A Phase Estimation Algorithm for Quantum Speed-Up Multi-Party Computing

引用

computers, Materials & Continua 2021年第4期67卷 241-252页

作者： Wenbin Yu Hao Feng Yinsong Xu Na Yin Yadang Chen Zhi-Xin Yang Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Jiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Department of Computer Science and Engineering Michigan State UniversityEast Lansing48824MIUSA State Key Laboratory of Internet of Things for Smart City and Department of Electromechanical Engineering University of Macao999078Macao

Security and privacy issues have attracted the attention of researchers in the field of IoT as the information processing scale grows in sensor *** computing,theoretically known as an absolutely secure way to store and transmit information as well as a speed-up way to accelerate local or distributed classical algorithms that are hard to solve with polynomial complexity in computation or *** this paper,we focus on the phase estimation method that is crucial to the realization of a general multi-party computing model,which is able to be accelerated by quantum algorithms.A novel multi-party phase estimation algorithm and the related quantum circuit are proposed by using a distributed Oracle operator with *** proved theoretical communication complexity of this algorithm shows it can give the phase estimation before applying multi-party computing efficiently without increasing any additional ***,a practical problem of multi-party dating investigated shows it can make a successful estimation of the number of solution in advance with zero communication complexity by utilizing its special statistic *** simulations present the correctness,validity and efficiency of the proposed estimation method.

关键词： Edge computing security multi-party computing quantum algorithm phase estimation communication complexity

来源：评论

学校读者我要写书评

暂无评论

Soft Tissue Deformation Model Based on Marquardt Algorithm and Enrichment Function

引用

computer Modeling in engineering & Sciences 2020年第9期124卷 1131-1147页

作者： Xiaorui Zhang Xuefeng Yu Wei Sun Aiguo Song Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and ControlSchool of Instrument Science and EngineeringSoutheast UniversityNanjing210096China

In order to solve the problem of high computing cost and low simulation accuracy caused by discontinuity of incision in traditional meshless model,this paper proposes a soft tissue deformation model based on the Marquardt algorithm and enrichment *** model is based on the element-free Galerkin method,in which Kelvin viscoelastic model and adjustment function are *** algorithm is applied to fit the relation between force and displacement caused by surface deformation,and the enrichment function is applied to deal with the discontinuity in the meshless *** verify the validity of the model,the Sensable Phantom Omni force tactile interactive device is used to simulate the deformations of stomach and *** results show that the proposed model improves the real-time performance and accuracy of soft tissue deformation simulation,which provides a new perspective for the application of the meshless method in virtual surgery.

关键词： Virtual surgery meshless model Marquardt algorithm enrichment function soft tissue simulation

来源：评论

学校读者我要写书评

暂无评论

Coverless image steganography without embedding 1st

Coverless image steganography without embedding

引用

1st International Conference on Cloud Computing and Security, ICCCS 2015

作者： Zhou, Zhili Sun, Huiyu Harit, Rohan Chen, Xianyi Sun, Xingming School of Computer and Software Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing210044 China Department of Computer Science New York University New YorkNY10012 United States

ISBN: (纸本)9783319270500

The traditional image steganography technologies designate a cover image and embed secret data into it to form the stego-image. However, the modification traces caused by the embedding will be left in the cover image, which makes successful steganalysis possible. To fundamentally address this issue, this paper proposes a novel image steganography framework, called as coverless image steganography, which does not need to employ the designated cover image for embedding the secret data. In this framework, a series of appropriate original images which already contain the secret data are directly chosen from a constructed database, and these original images can be regarded as the stego-images. Firstly, a number of images are collected to construct the database, and these images are indexed according to their hash sequence generated by a robust hashing algorithm. Then, the secret data is transformed to a bit string and divided into a number of segments. To implement the information hiding, the images of which the hash sequences are the same as the segments are chosen from the database as the stego-images. Experimental results show that the proposed coverless image steganography framework can resist the existing steganalysis tools, and have desirable robustness to the typical image attacks such as rescaling, luminance change, and noise adding. © Springer International Publishing Switzerland 2015.

关键词： Digital forensics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：