Development of a typical algorithm for renovation of industrial complexes by S. N. Kutenev

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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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Hierarchical Models and Tuning of Random Walk Metropolis Algorithms by Mylène Bédard

“…We also introduce the concept of locally optimal tunings, i.e., tunings that depend on the current position of the Markov chain. The theorems are proved by studying the generator of the first and second components of the algorithm and verifying their convergence to the generator of a modified RWM algorithm and a diffusion process, respectively. …”
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Study of the ternary correlation quantum-behaved PSO algorithm by Tao WU, Xi CHEN, Yu-song YAN

“…The novel algorithm changed the information independent ran-dom processing method of standard QPSO and established internal relations during particles' own experience information, group sharing information and the distance from the particles' current location to the population mean best position using normal copula functions.Then, the method of generating ternary correlation factors was given by using the Cholesky square root formula. …”
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Fast surface reconstruction algorithm with adaptive step size. by Jingguo Dai, Yeqing Yi, Chengzhi Liu

“…To further improve the computational efficiency, an adaptive step size adjustment strategy for surface reconstruction algorithm is investigated. During each iteration, the step size is adaptively chosen based on the current residual-larger residuals may necessitate larger steps, while smaller ones might permit smaller steps. …”
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Routing algorithm for MPLS traffic engineering in satellite network by XIAO Fu1, SUN Li-juan1, YE Xiao-guo1, WANG Ru-chuan1

“…With regard to long transmission delay and dynamic topology characters in satellite network,a novel routing algorithm was proposed in multi-protocol label switching satellite network.The algorithm uses the prior knowledge of source-destination pairs,and link propagation delay is also considered.Based on time-varying topology snapshot of satellite network,initial link weight is defined as function of transmission delay and residual bandwidth.Both current request and future requests are in account when calculate critical degree.Thus traffic engineering is realized by link weight dynamic adjustment and critical links extension loaded,which guarantee resource utilized better.Simulation results demonstrate the algorithm performs better in terms of request reject ratio,total available flow,average hop and transmission delay of least interference paths.…”
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Universal algorithm of processing of requests with use of parallel technology by Timofeeva N.E., Dmitrieva K.A.

“…We bring the current at the moment the technology of storing large amounts of data: distributed and parallel databases, MapReduce.…”
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ALGORITHM OF AIRCRAFT FLIGHT DATA PROCESSING IN REAL-TIME by Elkhan SABZIEV

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Decentralized Algorithm for Sensors Fault Detection in HVAC Systems by Wang Shiqiang, Jiang Ziyan, Xing Jianchun, Dai Yunchuang, Yang Qiliang

“…Due to the poor instantaneity and adaptability, the current methods for sensors fault detection are still less applied in practical project. …”
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Study of the ternary correlation quantum-behaved PSO algorithm by Tao WU, Xi CHEN, Yu-song YAN

“…The novel algorithm changed the information independent ran-dom processing method of standard QPSO and established internal relations during particles' own experience information, group sharing information and the distance from the particles' current location to the population mean best position using normal copula functions.Then, the method of generating ternary correlation factors was given by using the Cholesky square root formula. …”
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Neuromorphic computing for robotic vision: algorithms to hardware advances by Sayeed Shafayet Chowdhury, Deepika Sharma, Adarsh Kosta, Kaushik Roy

“…Key challenges include large-scale integration, benchmarking standardization, and algorithm-hardware co-design for emerging applications, which we discuss alongside current and future research directions.…”
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Research and application of flight trajectory data compression algorithm by YANG Yao, XIAO Yajuan

“…Regarding the problems that the current flight trajectory compression algorithms do not effectively utilize all flight parameter features and need to set thresholds manually, this paper proposes an effective flight trajectory data compression algorithm. …”
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Gamma norm minimization based image denoising algorithm by Hongyan WANG, Tuo WANG, Mian PAN, Zumin WANG

“…Focusing on the issue of rather poor denoising performance of the traditional kernel norm minimization based method caused by the biased approximation of kernel norm to rank function,based on the low-rank theory,a gamma norm minimization based image denoising algorithm was developed.The noisy image was firstly divided into some overlapping patches via the proposed algorithm,and then several non-local image patches most similar to the current image patch were sought adaptively based on the structural similarity index to form the similar image patch matrix.Subsequently,the non-convex gamma norm could be exploited to obtain unbiased approximation of the matrix rank function such that the low-rank denoising model could be constructed.Finally,the obtained low-rank denoising optimization issue could be tackled on the basis of singular value decomposition,and therefore the denoised image patches could be re-constructed as a denoised image.Simulation results demonstrate that,compared to the existing state-of-the-art PID,NLM,BM3D,NNM,WNNM,DnCNN and FFDNet algorithms,the developed method can eliminate Gaussian noise more considerably and retrieve the original image details rather precisely.…”
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The Algorithm for Substantiating Development of Products of Functional and Specialized Purpose by A. M. Marhunova, S. A. Kandratsenka, S. N. Vislavukhava

“…In conditions of the current market situation marketing strategy, which covers substantiation, launching the new product to market and its further promotion are as important elements of the efficient enterprise work as product popularization and forming the positive attitude to it on the part of potential audience. …”
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An overview of the activation functions used in deep learning algorithms by Mete Çelik, Kemal Adem, Serhat Kılıçarslan

“…In this study, we present an overview of common and current activation functions used in deep learning algorithms. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…In this context, quantum architecture search (QAS) has been introduced to automate the search and design of VQAs. However, current mainstream QAS algorithms typically perform both global and local searches simultaneously, which can result in high search space complexity and optimization challenges. …”
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Robust Localization Algorithm Based on the RSSI Ranging Scope by Yan Huang, Jianying Zheng, Yang Xiao, Miao Peng

“…The signal propagation model is the most appropriate model for current indoor environment to ensure the ranging accuracy based on received signal strength indicator (RSSI). …”
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Dissipative Variational Quantum Algorithms for Gibbs State Preparation by Yigal Ilin, Itai Arad

“…In recent years, variational quantum algorithms have gained significant attention due to their adaptability and efficiency on near-term quantum hardware. …”
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A Human Pose Estimation Algorithm with Scale Invariant by SUN Ruiyang, YANG Huixin, ZHAO Lanfei

“…Due to the existing issues in current human pose estimation algorithms, which struggle with accurately detecting small and large-sized human keypoints as well as having lower precision, this paper proposes a scale invariant convolution neural network to estimate human pose. …”
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A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

“…Computational experiments demonstrate that the hybrid algorithm outperforms current options, making it a practical recommendation for real-time applications.…”
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