Method for determining of statistical characteristics of evaluated distance obtained from measurements of Doppler frequency offsets by V. V. Legkostup

“…Despite the fact that the object guidance loop is closed according to the time difference of arrival information, it is necessary to enter the distance between the object and the center of the navigation system into the algorithm for generating control commands in order to stabilize the frequency response of the control loop and eliminate dynamic errors. …”
Get full text

Technical Review on Endoscopic Treatment Devices for Management of Upper Gastrointestinal Postsurgical Leaks by Renato Medas, Eduardo Rodrigues-Pinto

“…Our discussion specifically focuses on principles and mechanism of action, advantages and disadvantages of each technique, indications, clinical success, and adverse events. An algorithm for endoscopic approach is proposed.…”
Get full text

Analysis of Pulse System Dynamics of Phase Synchronization in Multiple Capture Mode by A. L. Shilina

“…The paper considers a model, a method and an algorithm of the simulation of the pulse system dynamics of phase synchronization in the multiple capture mode. …”
Get full text

A novel motion control approach for tethered wheeled mobile robot on extreme terrain by Xiaotao Wang, Xingyu Wang, Jiayou Zhang

“…Simulations are performed to verify the effectiveness of the proposed algorithm.…”
Get full text

Prosodic organization of English folk riddles and the mechanism of their decoding by Larysa Taranenko

“…Within the process of cognitive model formation the author performs a conceptual analysis of the riddle compositional structure, presented as a systemic algorithmic scheme. It is confirmed that a characteristic feature of a folk riddle is its division into two elements: the first one is the description of an object, further differentiated into “topic” and “commentary”, while the second one is the riddle answer, or solution, generated directly in the recipient’s mind as a result of his/her mental activities. …”
Get full text

Antiswing Control and Trajectory Planning for Offshore Cranes: Design and Experiments by Ronny Landsverk, Jing Zhou, Daniel Hagen

“…We present a trajectory tracking technique explicitly crafted for swing suppression under control, rooted in the principles of the iterative learning algorithm and based on physics. The proposed antiswing control strategy guarantees asymptotic convergence of the payload's swing, angular velocity, and angular acceleration to desired values. …”
Get full text

Fuzzy Sliding Mode Control Method for AUV Buoyancy Regulation System by Wende Zhao, Decheng Wang, Zhenzhong Chu, Mingjun Zhang

“…Then, the sliding mode control algorithm is combined with the fuzzy system to improve the control accuracy. …”
Get full text

First-Train Timetable Synchronization in Metro Networks under Origin-Destination Demand Conditions by Hetian Chai, Xiaopeng Tian, Huimin Niu

“…Then, the Nondominated Sorted Genetic Algorithm-II (NSGA-II) is adopted to solve the proposed model, and an improved technique is elaborated to reduce the alternative route choices. …”
Get full text

Optimal Route Selection Decision-Making Based on Intelligent Network by Mengshu Zhao, Zhaohui Zhang

“…We construct some dynamic multiobjective network problems and use heuristic algorithm to solve the two problems in four levels in the paper. …”
Get full text

A New Method to Improve the Measurement Accuracy of Autonomous Astronomical Navigation by Yu-Feng Yang, Xiang Han, Ning-Ning Song, Zi-Chen Wang

“…Based on the theory of atmospheric refraction, combined with the atmospheric parameter data of NCEP (National Centers for environmental prediction), the Fourier interpolation fitting algorithm is used to model and analyze the parameters affecting atmospheric refraction on a global scale. …”
Get full text

Computer 3D Scene Simulation of Ecological Landscape Layout Planning by Tong Ling, Yun Ma

“…OpenGL shader language was used for rendering, improved NSGA-II algorithm was used with the help of bionic logic of the genetic evolution process to achieve landscape land allocation optimization. …”
Get full text

Optimal Quantum Circuit Cuts with Application to Clustered Hamiltonian Simulation by Aram W. Harrow, Angus Lowe

“…As an application, we give an improved algorithm for clustered Hamiltonian simulation. Specifically we show that interactions can be removed at a cost, which is exponential in the sum of their strengths times the evolution time, and vanishing in the limit of weak interactions. …”
Get full text

Fuzzy sliding mode control based on an adaptive sliding surface and extended state observer for automotive electric power steering by Tuan Anh Nguyen

“…Overall, the performance of the proposed algorithm is significantly improved compared with the traditional control methods.…”
Get full text

A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products by S. Anitha, R. Neelakandan

“…K-means clustering, an unsupervised machine learning algorithm, is applied to form clusters by grouping similar profiles. …”
Get full text

Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics by Yanfei Jia, Xiaodong Yang

“…The simulation results demonstrate the validity of the proposed algorithm.…”
Get full text

Gated Channel Attention Mechanism YOLOv3 Network for Small Target Detection by Xi Yang, Jin Shi, Juan Zhang

“…In order to solve the problem of low recognition rate and high missed rate in current target detection task, this paper proposes an improved YOLOv3 algorithm based on a gated channel attention mechanism (GCAM) and adaptive up-sampling module. …”
Get full text

CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network by Guojie Liu, Jianbiao Zhang

“…In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and the algorithm is optimized. First, the data is preprocessed, the original one-dimensional network intrusion data is converted into two-dimensional data, and then the effective features are learned using optimized convolutional neural networks, and, finally, the final test results are produced in conjunction with the Softmax classifier. …”
Get full text

Two Improved Cancellation Techniques for Direct-Conversion Receivers by Xueyuan Hao, Xiaohong Yan

“…It can improve the integrity of the baseband signal and reduces the complexity of the subsequent software algorithm. Experimental results show that two kinds of improved technology can improve the performance of DCR and expand its scope of application.…”
Get full text

Application of Big Data Analysis in Cost Control of Marine Fishery Breeding by Yunsong Gu

“…In order to improve the stability of the cost control of marine fishery culture, a method of controlling the cost of marine fishery culture based on big data analysis algorithm was proposed. We establish the cost analysis model of marine fishery, use the big data correlation analysis method to conduct distributed mining on the cost characteristics of marine fishery, deeply grasp the relevance of data characteristics, use the information fusion method to build the constraint parameter analysis model of aquaculture cost operation, limit the amount of calculation, and use the adaptive neural network weighted training method to adaptively optimize the cost control to avoid falling into local optimization. …”
Get full text

Complement Diagnostics: Concepts, Indications, and Practical Guidelines by Bo Nilsson, Kristina Nilsson Ekdahl

“…Here, we summarize indications, techniques, and interpretations for basic complement analyses and present an algorithm, which we follow in our routine laboratory.…”
Get full text