High-capacity image steganography algorithm combining image encryption and deep learning by Xiaoyuan YANG, Xinliang BI, Jia LIU, Siyuan HUANG

“…Aiming at the problem that the residual image of cover image and carrier image in the high-capacity image steganography scheme based on deep learning will expose the secret image, a high-capacity image steganography scheme combining image encryption and deep learning was proposed.An image feature extraction method was used, so that the features extracted from the cover image were consistent with the features extracted from the carrier image.Before the image steganography, the sender extracted features from the cover image as a key to encrypt the secret image.After the extractor extracted the encrypted secret image, the features were extracted from the carrier image as a key to decrypt the secret image.The experimental results show that the attacker cannot find the information of the secret image from the residual image, and the frequency of key transmission is lower, and the security of the algorithm is improved.…”
Get full text

VMD and CNN-Based Classification Model for Infrasound Signal by Quanbo LU, Mei LI

“…The traditional classification approach extracts the features and classifies the infrasound events. However, due to the manual feature extraction, its classification performance is not satisfactory. …”
Get full text

Research progress of chondroitin sulfate and chondroitin sulfate proteoglycan in diabetic kidney disease by ZHANG Min, HU Chun, WU Xiao-yan

“…Diabetic kidney disease(DKD) is a serious complication of diabetes mellitus and an important global public health problem. Due to the complex pathogenesis of DKD, there is still few specific and effective treatment measures. …”
Get full text

Noise Immunity Radio Link Model in Dynamic Intentional Exposure by S. V. Dvornikov, A. V. Pshenichnikov

“…The solution to this problem can be obtained by the development of complex operation algorithms for radio system. …”
Get full text

Wireless HDLC Protocol for Energy-Efficient Large-Scale Linear Wireless Sensor Networks by Daniel Mihai Toma, Joaquin del Rio, Antoni Mànuel

“…By applying for the first time a standard data layer along with a time division multiple access (TDMA)-based medium access control (MAC) and time synchronization technique specifically designed for the linear topology, we address the interoperability problem with guaranteed energy efficiency and data link performance in linear sensor topology. …”
Get full text

Adaptive Control of Short-Wave Data Transmission System Parameters by V. V. Egorov

“…We consider a problem of adaptive parameter selection of short-wave data transmission systems such as information signal type, noise combating code type and parameters, operating frequency in case of step-by-step control of transmission process in dynamically changing conditions of radio wave propagation and interference environment. …”
Get full text

Design of nonlinear rubber vibration isolators with low resonant frequency and high load bearing capacity by Xiaoqi Zhang, Xin Li, Fei Du, Fucai Hu, Li Wang, Yongsheng Yu

“…Designing a rubber vibration isolator to simultaneously meet the requirements on both low-frequency vibration isolation and high load carrying capacity has always been a major challenge. To tackle this problem, in this paper, a design strategy capable of effectively balancing these two effects to guide the design of such isolators is proposed. …”
Get full text

基于经验模式分解和谱峭度的滚动轴承故障诊断 by 林近山

“…Vibration signals of faulty bearings are usually nonlinear and nonstationary under heavy background noise.As a result,the feature extraction of the vibration signals is always a quite difficult problem.To improve fault diagnosis results for bearings,the fault diagnosis method combination of empirical mode decomposition（EMD） and spectrum kurtosis（SK） is proposed.For one thing,the EMD method is utilized to filter the trend and noise components from the faulty signal in term of the statistical characteristics of the normalized white noise.For another,the bandwidth and central frequency of a bandpass filter which is going to be exploited to filter the purified signal by the EMD method are estimated by using SK.Moreover,according to the envelope spectrum of the signal filtered by the above bandpass filter,the bearing fault is identified.The results show that the SK method can be effectively improved by the EMD filter and a feasible method for the fault diagnosis of bearing is provided.…”
Get full text

Ontology-Based Knowledge Acquisition Method for Natural Language Texts by Longwei Qian

“…After emphatically researching the rulebased knowledge extraction technology and the method of building ontology of linguistics, this article proposes a solution to the implementation of knowledge acquisition based on the OSTIS technology. The main feature of this solution is to construct a unified semantic model that is able to utilize ontologies of linguistics (mainly, syntactic and semantic aspect) and integrate various problem-solving models (e. g., rule-based models, neural network models) for solving knowledge extraction process from natural language texts.…”
Get full text

Chronic endometritis, as a factor in the violations of women's reproductive health by N. V. Avramenko, І. В. Gridina, H. A. Lomeyko

“…Worsening of the demographic situation inUkraineis important socio-medical problem that underlines need in the preservation of women's reproductive health. …”
Get full text

A community-based cross-sectional survey of young children with SARS-CoV-2 infection during the Omicron wave in Beijing, China by Ying Zhang, Huawei Mao, Hongmei Huang, Chenlu Yang

“…Previous studies from China on the clinical features of infected children have mostly focused on hospitalised cases. …”
Get full text

Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

“…In our simulations, individuals respond to two environmental covariates and we employ all combinations of positive and negative selection coefficients corresponding to attraction to an environmental feature and avoidance of an environmental feature, respectively. …”
Get full text

Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“… BackgroundPerception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. …”
Get full text

DCP-YOLOv7x: improved pest detection method for low-quality cotton image by Yukun Ma, Yajun Wei, Minsheng Ma, Zhilong Ning, Minghui Qiao, Uchechukwu Awada

“…In addition, the model detection head part is replaced with a DyHead (Dynamic Head) structure, which dynamically fuses the features at different scales by introducing dynamic convolution and multi-head attention mechanism to enhance the model's ability to cope with the problem of target morphology and location variability.ResultsThe model was fine-tuned and tested on the Exdark and Dk-CottonInsect datasets. …”
Get full text

Estimating Soil Cd Contamination in Wheat Farmland Using Hyperspectral Data and Interpretable Stacking Ensemble Learning by Liang Zhong, Meng Ding, Shengjie Yang, Xindan Xu, Jianlong Li, Zhengguo Sun

“…First, we pre-processed the spectra utilizing fractional-order derivative (FOD) and standard normal variate (SNV) transforms to highlight the spectral features. Second, we applied the competitive adaptive reweighted sampling (CARS) feature selection algorithm to identify the significant wavelengths correlated with soil Cd content. …”
Get full text

Extraction of <i>Suaeda salsa</i> from UAV Imagery Assisted by Adaptive Capture of Contextual Information by Ning Gao, Xinyuan Du, Min Yang, Xingtao Zhao, Erding Gao, Yixin Yang

“…In this paper, for <i>Suaeda salsa</i>, which is a weak target with a sparse distribution and inconspicuous features, relying on the high-resolution and spatial information-rich features of UAV imagery, we establish an adaptive contextual information extraction deep learning semantic segment model (ACI-Unet), which can solve the problem of recognizing <i>Suaeda salsa</i> from high-precision UAV imagery. …”
Get full text

Detection of Fake Instagram Accounts via Machine Learning Techniques by Stefanos Chelas, George Routis, Ioanna Roussaki

“…The interest of the results presented in this study lies in their comparability with the results of other similar studies, with the difference that fewer input features have been used. This addresses significant research challenges regarding the performance of and confidence in obtained results in this specific problem domain.…”
Get full text

Underwater acoustic target recognition under working conditions mismatch by WANG Haitao, JIN Anqi, YANG Shuang, ZENG Xiangyang

“…Auditory features are used as inputs to the system, and knowledge distillation is utilized to learn the intrinsic connection of target features under different working conditions. …”
Get full text

Images of saints in the “Study guide to the history of the Russian Church” by P. V. Znamensky by Tatiana Nekhorosheva

“…Znamensky's choice of certain saints as heroes of the Study Guide to the History of the Russian Church, analyzes what characteristic features of the lives he paid special attention to. …”
Get full text

Life strategies of modern young men (on the materials of a sociological research) by Nadezhda Afanasevna Frolova

“…The article considers the problems of forming life strategies in young men using the results of empirical data analysis. …”
Get full text