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15th International Conference on intelligent information Hiding and Multimedia Signal processing, IIH-MSP 2019, held in conjunction with the 12th International Conference on Frontiers of information Technology, Applications and Tools, FITAT 2019

作者： Zhou, Xiaogen Wang, Chuansheng Li, Zuoyong Zhang, Fuquan College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China School of Computer Science and Technology Harbin University of Science and Technology Harbin China

ISBN: (纸本)9789811397097

To improve the accuracy of leukocyte segmentation, this paper presents a novel method based on adaptive histogram thresholding (AHT). The proposed method first employs color component combination and AHT to extract the nucleus of leukocyte and utilizes image color features to remove the complex backgrounds such as red blood cells (RBCs) and substantial dyeing impurities. Then, Canny edge detection is performed to extract the entire leukocyte. Finally, the cytoplasm of the leukocyte is obtained by subtracting the nucleus with the entire leukocyte. Experimental results on an image dataset containing 60 leukocyte images show that the proposed method generates more accurate segmentation results than the counterparts. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Image segmentation

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Closed-Loop Safe Correction for Reinforcement Learning Policy 4th

Closed-Loop Safe Correction for Reinforcement Learning Poli...

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4th International Conference on Ubiquitous Security, UbiSec 2024

作者： Yi, Zhi Lv, Qi Chen, Shuhong Liang, Ying Dai, Yinglong Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing College of Information Science and Engineering Hunan Normal University Changsha410081 China School of Computer Science and Cyber Engineering Guangzhou University Guangzhou510006 China Blockchain Innovation Lab Swinburne University of Technology MelbourneVIC3122 Australia Molecular Nutrition Branch National Engineering Research Center of Rice and By-product Deep Processing College of Food Science and Engineering Central South University of Forestry and Technology Hunan Changsha410004 China

ISBN: (纸本)9789819648351

Trial and error learning is an approach with uncertain consequences. How to maintain policy security, stability, and efficiency under controlled circumstances, posing a significant academic challenge. Such as Reinforcement Learning (RL) leverages the neural network parameter space to identify the optimal solution for achieving the optimal mapping of the policy space. However, even a slight fluctuation in the parameter space can lead to policy collapse. To solve it, we propose a method called Closed-loop Safe Correction (CLSC). This method employs twin agents to establish a closed-loop framework for policy and sampling data distribution, gradually improving policy efficiency while ensuring policy safety. Base on theoretical and experimental analysis, CLSC elucidates the performance, influencing factors, and advantages of this approach in policy safety scenarios. These findings provide novel research insights and practical directions for advancing safe RL. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Reinforcement learning

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Negative information filtering algorithm based on text content in multimedia networks

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International Journal of Performability Engineering 2019年第11期15卷 3061-3071页

作者： Chen, Wenqing Fu, Weina College of Applied Technology China University of Labor Relations Beijing100000 China College of Computer and Information Engineering Inner Mongolia Agricultural University Hohhot010012 China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha410081 China

In the multimedia network environment, it is necessary to effectively filter negative information in the multimedia network and enhance the ability to mine and identify valid data. This paper presents a new algorithm of negative information filtering based on text content in multimedia networks. The principal component features of negative information in multimedia networks are extracted, and matched filters are designed to filter the negative information reasonably. All text contents and negative information are normalized and sorted. They are transformed into the same text format for classification and processing, and the filtering and detection of negative information are realized. Finally, based on the semantic features of text content, the support vector machine algorithm is used to extract negative information features from data. Experimental results show that the algorithm improves the filtering accuracy and performance for negative information in multimedia networks, and it has good application value. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： information filtering

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Controlled-source electromagnetic signal detection using a hybrid deep learning model: Convolutional and long short-term memory neural networks

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Computers & Geosciences 2025年 204卷

作者： Yecheng Liu Diquan Li Jin Li Yanfang Hu Zijie Liu Xian Zhang School of Geosciences and Info-Physics Central South University Changsha 410083 China Key Laboratory of Metallogenic Prediction of Non-Ferrous Metals and Geological Environment Monitor Ministry of Education Central South University Changsha 410083 China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing College of Information Science and Engineering Hunan Normal University Changsha 410081 China Hunan Provincial Key Laboratory of Finance & Economics Big Data Science and Technology School of Information Technology and Management Hunan University of Finance and Economics Changsha 410205 China

Controlled-source electromagnetic (CSEM) method using a periodic transmitted signal source suppresses random noise by superimposing and averaging the recorded signal over multiple periods. However, it still faces great challenges in strong interference environments. Here we present a CSEM signal detection method based on a hybrid architecture of convolutional neural network (CNN) and long short-term memory neural network (LSTM). Our method improves the quality of the recorded signal by filtering out all the noise periods and retaining the useful signal periods. The core lies in combining the spatial feature extraction capability of CNN with the time series modeling capability of LSTM, which can deeply excavate the feature differences between noise and CSEM useful signal. Meanwhile, a classification model of signal and noise is constructed using a large-scale training dataset. This hybrid model exhibits superior performance compared to other deep learning models such as CNN or LSTM. Also, we propose a novel signal detection mechanism that not only maintains the periodicity of CSEM signal, but also greatly enhances processing efficiency. The results of synthetic and measured data demonstrate that our method can obtain useful signals from CSEM data containing different noise types and significantly improve the quality of sounding curves. In particular, our method is useful for CSEM signal detection in strong interference.

关键词： Controlled-source electromagnetic method Deep learning Noise Signal detection

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WeChat Public Platform for Customers Reserving Bank Branches Based IoT

WeChat Public Platform for Customers Reserving Bank Branches...

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作者： Jie Chen Xiaoman Liang Jian Zhang College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

With the developing of the social economy,the amount of currency circulation has increased and become more frequent,but the customer gathering is often occurred in the many bank's *** this paper,with some framework technology,Spring Boot and MyBatis,a WeChat public platform software is developed for customers who are available to book branch business,such as branch service reservation,bank business reservation,reservation information inquiry and so *** with WeChat public number and small program,the software offers humanized service and simple ***,it can meet the needs of users who can choose a reasonable time to go to the ideal branch to handle their business quickly,which not only saves users' time,but also improves the efficiency of the bank's system.

关键词： Reservation Branch WeChat public platform

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The Optimal Implementation of Khudra Lightweight Block Cipher

The Optimal Implementation of Khudra Lightweight Block Ciphe...

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作者： Xiantong Huang Lang Li Ying Guo College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

In this paper,we discuss the area and speed balance optimization of Khudra lightweight block *** are three major ***,because the whole structure of the Khudra block cipher and its F-function are based on a Feistel structure,we make the main module directly call the Ffunction in the hardware optimization ***,through the clock control,the plaintext can be XORed with the key and the round constant under certain *** the same time,the 3 rounds of the F-function are merged into one module,whose F-function module contains the F-function of the left and right branches of the ***,three rounds of operations can be completed with only one S-box,which can effectively reduce the number of registers and the number of iterations to increase the encryption and decryption ***,because of the particularity of key expansion in Khudra,we separately calculated the round key and stored its results in the register,which can effectively save the time of key expansion.

关键词： Lightweight block cipher Khudra Optimization FPGA implementation

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Constant-Weight Group Coded Bloom Filter for Multiple-Set Membership Queries

Constant-Weight Group Coded Bloom Filter for Multiple-Set Me...

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作者： Xiaomei Tian Huihuang Zhao College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

Multiple-set membership query problem plays a very important role in many network systems, including packet forwarding architectures in big data centers, routing switching devices and internet firewall systems. Many solutions to multiple-set membership query problem are based on Bloom filters. And each of these solutions has its own merits. Some have high query speed and some have good accuracy. But generally, they cannot have both at the same time. In this paper, we propose a probabilistic data structure named constant-weight group coded Bloom Filter(CWGCBF) for fast and accurate multi-set membership query. The key technique in CWGCBF is encoding each element's set ID to constant weight code, and directly recording this constant-weight code in the bloom filter vector. Experimental results show that in terms of false positive ratio, CWGCBF, Shifting Bloom Filter and Combinatorial Bloom Filter have great advantages to the other compared Bloom filters, and in terms of time efficiency, CWGCBF and ID Bloom Filter are several times faster than the others.

关键词： Multiple-set membership query Constant-weight group coded bloom filter Data center

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Research on Task Scheduling in Distributed Vulnerability Scanning System

Research on Task Scheduling in Distributed Vulnerability Sca...

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作者： Jie Jiang Sixin Tang College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

Network threats caused by system vulnerabilities is increasing gradually, the distributed vulnerability scanning system can scan large-scale and complex networks and report the vulnerability information. Task scheduling is one of the core components in a distributed system. In this paper, we use dynamic optimization algorithms to improve the task scheduling efficiency of distributed vulnerability scanning system, we propose a PSO-based task scheduling scheme and improves the search ability of particles by adjusting algorithm parameters. We compared the time consume when using existing‘Resource Aware Scheduling algorithm'(RASA) with the basic particle swarm optimization(PSO) algorithm and the improved particle swarm optimization(IPSO) algorithm. Our results show that IPSO has better performance than other scheduling methods.

关键词： Vulnerability scanning Distributed Task scheduling PSO algorithm

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An Optimized Scheme of information Hiding-Based Visual Secret Sharing

An Optimized Scheme of Information Hiding-Based Visual Secre...

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作者： Yi Zou Lang Li Ge Jiao College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

information hiding-based visual secret sharing(IH-VSS) uses the information hiding techniques to embed secret data into *** the IH-VSS scheme,hidden images are divided into n shadows under the guidance and constraints of some predetermined methods,and only a certain number or all of the credible shadows work together to recover hidden *** on(2,2)-threshold IH-VSS scheme,this paper proposes an optimized IH-VSS scheme,it can randomly locate the hidden position of the secret *** set a random number and use it as the initial hiding position,then combined with the length of the secret data,assigns the address,and completes the hiding of the secret *** experimental results show that,under the same embedding capacity,the peak signal-to-noise ratio(PSNR) of the optimized scheme is higher than other similar schemes,which is high to 55.41 ***,the difference between the two shadows is very small.

关键词： IH-VSS Reference matrix Random position

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A Image Adaptive Steganography Algorithm Combining Chaotic Encryption and Minimum Distortion Function

A Image Adaptive Steganography Algorithm Combining Chaotic E...

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作者： Ge Jiao Jiahao Liu Sheng Zhou Ning Luo College of Computer Science and Technology Hengyang Normal University Hunan Provincial Key Laboratory of Intelligent Information Processing and Application

Digital image has the characteristics of high redundancy and convenient processing, which is the ideal carrier of information hiding ***, digital image steganography has become a hot research direction in the field of information security. In order to ensure the concealment, reliability and security of image steganographic information, an image adaptive steganographic algorithm combining chaotic encryption and minimum distortion function is designed. The algorithm generates random keys, encrypt the secret information using Logistic and ChebyShev mapping, and then embeds the key and the encrypted secret information into the carrier image using the HILL steganographic algorithm. The algorithm stores the embedded key and the decryption key separately, so the attacker cannot get the correct secret information even if he gets the embedded key, which improves the security of the key. Experiments show that the pixel change rate of the algorithm is 6.76%, the peak signal-to-noise ratio is 59.51 db, and it has a very good anti-steganographic analysis ability.

关键词： Image adaptive steganography Chaotic encryption Cost PSNR

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