Discontinuous differential equation for modelling the Antarctic Circumpolar Current by Michal Fečkan, Shan Li, JinRong Wang

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Diagnosis Method for Sparse Optimization Based on Multi-step Grid Search of Bearing Coupling Faults by Gong Xiaoyun, Li Chao, Zhao Zhiwei, Ning Xiaobo, Zhang Yuxiang, Han Ming

“…Secondly, the signal reconstruction based on adaptive Gabor atom dictionary orthogonal matching tracking algorithm is realized by optimizing the displacement factor and frequency factor. …”
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GLCM-Based Feature Extraction for Alpha Matting on Natural Images by Ruri Suko Basuki, Jehad A.H Hammad

“…Experiments were carried out on 12 natural images from the image-mating dataset to evaluate the performance of the proposed algorithm. The increase in accuracy shows up to 63% by the measurements of experiments, compared to the calculation of adaptive threshold by using the fuzzy CMs Algorithm.…”
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A Bi-Objective Stochastic Model of Locating-Allocating-Routing Relief and Rescue in Disaster Response Conditions: An Accelerated Benders Decomposition by Behrooz Baygan, Ahmad Mehrabian, Mahdi Yousefi Nejad Attari, Mohammad Jafar Doostideilami

“…Also, an accelerated stochastic benders decomposition algorithm is suggested to solve the problem modeled in this paper. …”
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Research on characterization and modeling for 3D wideband time-varying channels for urban microcells at 2.55 GHz by Shu LI, Xiong-wen ZHAO, Rui ZHANG, Qi WANG, Sui-yan GENG

“…Based on the outdoor microcell MIMO channel measurement campaign at 2.55 GHz,the time-evolution characteristics of three-dimensional wideband channel were studied.The SAGE algorithm was used to extract multipath parameters such as azimuth and elevation angle of departure and arrival.A bidirectional matching algorithm was applied to tracing multipath and the ＆quot;birth-death＆quot; process.The statistical characteristics of multipath birth,lifespan,multipath initial and evolution parameters were analyzed and modeled based on the cross-correlations of multipath parameters.A time-varying channel model with multipath birth-death process was developed.The model parameter table and a detailed flowchart were offered for time-varying channel simulations.The proposed model was validated by comparing the root-mean-square (RMS) of delay spread and angular spread between the simulated and measured results.The channel model proposed can be applied in time-varying channel simulation for urban microcells and it’s also very important to be referred in 5G dynamic channel modeling.…”
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Inverse Design of Centrifugal Compressor Stages Using a Meanline Approach by Yuri Biba, Peter Menegay

“…The opposite process, that of calculating performance parameters based on geometry input is usually called analysis, or direct calculation. An algorithm and computer code implementing the inverse approach is described. …”
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An Efficient Genome Fragment Assembling Using GA with Neighborhood Aware Fitness Function by Satoko Kikuchi, Goutam Chakraborty

“…In this work, we have shown how our modified genetic algorithm (GA) could solve this problem efficiently. …”
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Multi-satellite cooperative beam hopping resource allocation based on interference perception by Jinlong HU, Jihong LIU, Yiqing ZHOU, Huan CAO, Zifan LIU, Jiawei ZHAO, Jinhong YUAN

“…Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%.…”
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Research on cross-domain trustable blockchain based decentralized DNS architecture by Kai LEI, Fangxing SHU, Lei HUANG, Qichao ZHANG

“…The domain name system (DNS) is an important internet infrastructure.However,current DNS utilizes centralized hierarchical structure with severe dependence on root server,which causes defects such as the risk of single-point failure and the abuse of central rights.Designing new decentralized DNS mainly focuses on transforming the domain name system from a single trust domain which relies on the center to multiple trust domains with the top-level domain name as the root parallel to each other,but also faces cross-domain credible challenges.To design a cross-domain trusted architecture,the concept of separating control and analysis was adopted,and a dual-blockchain DNS architecture was proposed.At data layer,a novel cross-domain verification was designed based on a one-way accumulator verification scheme,with the time complexity of the verification process O(N) reducing to O(1) nearly.The CDBFT algorithm was proposed by combining the DPoS mechanism and the BFT algorithm,whose average throughput reaches 736 TPS.The theoretical derivation and experimental results have demonstrated the advantages of this new DNS architecture on security,performance,and scalability.…”
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Indoor terminal localization technology using a single access point based on distributed MIMO networks by Ze LI, Jian ZOU, Zeng HUANG, Zengshan TIAN

“…Regarding the terminal localization in distributed MIMO networks, an indoor terminal localization system using a single access point (AP) based on distributed MIMO networks was proposed.Firstly, the AP’s antennas were arranged at different locations in the room, and the compressed sensing algorithm was used to estimate the angle of departure (AoD) and time of flight (ToF) of the receiving path on each antenna of the terminal device.Secondly, AoDs and ToFs of multiple paths were combined to establish a nonlinear localization model, and an improved Levenberg-Marquardt algorithm was used to solve the problem.Then, theoretical analysis has been examined for the factors that influence the localization error, and the criteria for the antenna layout was provided.Finally, electromagnetic simulation software was used to build simulation environment and conducted the simulation for system verification.Moreover, software-defined radio platforms were used to conduct practical tests.Both simulation and experimental results indicate that the performance of the proposed localization system is superior to existing single-AP localization systems based on natural multipath.…”
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Transient Dynamic Response of Delaminated Composite Rotating Shallow Shells Subjected to Impact by Amit Karmakar, Kikuo Kishimoto

“…To satisfy the compatibility of deformation and equilibrium of resultant forces and moments at the delamination crack front a multipoint constraint algorithm is incorporated which leads to unsymmetric stiffness matrices. …”
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Bipolar Soft Sets: Relations between Them and Ordinary Points and Their Applications by Tareq M. Al-shami

“…Then, we apply bipolar soft sets to build an optimal choice application. We give an algorithm of this application and show the method for implementing this algorithm by an illustrative example. …”
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Nove lincidence matrix differential power analysis for resisting ghost peak by Zijing JIANG, Qun DING

“…At present, differential power analysis (DPA) is one of the most important threats to the security of block ciphers in chips.When the collected power trace is insufficient, DPA is vulnerable to ghost peak caused by the difference mean value generated by the wrong key.Based on DPA, a incidence matrix differential power analysis (IMDPA) was proposed which could effectively resist ghost peak.The prediction difference mean matrix was constructed to avoid the influence of the non leaking interval on the key guessing of the leaking interval by using the weak correlation of the guessing key in the non leaking interval.The proposed IMDPA was tested in different leak intervals of AES-128 algorithm.The results show that compared with traditional DPA, IMDPA requires less (up to 85%) power trace to guess the correct key.At the same time, the key guessing efficiency of AES-128 under the implementation of protective measures by IMDPA still has obvious advantages.In order to further verify the universality of IMDPA in block ciphers, experimental verification is conducted on SM4 algorithm.Compared with traditional DPA, IMDPA requires less (up to 87.5%) power traces to guess the correct key.…”
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Pose Determination for Malfunctioned Satellites Based on Depth Information by Feng Yu, Yi Zhao, Yanhua Zhang

“…Because the method only utilizes the local features without observing the whole satellite, it is suitable for the final phase of rendezvous and docking. The algorithm is validated by a series of mathematical simulations.…”
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Network traffic multi-step prediction based on chaos theory and improved echo state network by Zhong-da TIAN, Shu-jiang LI, Yan-hong WANG, Xiang-dong WANG

“…Network traffic prediction was an important problem of network management and network congestion control.In order to solve this problem,a network traffic prediction method based on chaos theory and improved echo state net-work was proposed.Firstly,network traffic sample with differe time scale were analyzed by 0-1 test algorithm for chaos and maximum Lyapunov exponent,the calculation results show that the network traff has chaotic characteristics in different time scale.The phase space reconstruction technique was introduced for the prediction of network traffic,the delay time was determined through the C-C method,the embedding dimension was determined through the G-P algo-rithm.Network traffic time series was processed with phase space reconstruction,the multi-step prediction of network traffic was achieved by an improved echo state network.In order to improve the prediction precision,the key dynamic reservoir and prediction parameters of echo state network were optimized by an improved harmony search algorithm.Through the simulation on public and actual network traffic data,the results verify the proposed prediction method has higher prediction accuracy and smaller prediction error.…”
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The importance of communication in the Integrated Medical Emergency System by Lázaro Armando Águila Trujillo, Mayelín Alomá Nohaya

“…The purpose of this research is to present a work algorithm to improve the staff communications who work in the system.…”
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Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM by Cihai Qin, Ruizhi Zhao, Yueqiang Wang, Yunfei Ding, Dong Huang, Xiaolin Lian

“…The experimental results show that LSGAN algorithm overcomes the problems of GAN gradient disappearance，unstable training and poor data quality in generating fault samples. …”
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Interference mitigation for satellite-terrestrial heterogeneous coexistence cognitive MIMO system based on DBF by Yong LIAO, Tao WANG, Huan CHEN, Xin ZHOU, Yu-feng LI

“…For the coexistence and increasing interference of satellite-terrestrial network and terrestrial wireless network,a typical scenario where the geostationary earth orbit (GEO) satellite-terrestrial network and the 4G mobile communication network coexist heterogeneously was analyzed.Besides,a multi-user cognitive system model that secondary satellite terminals interfere the primary multiple input multiple output (MIMO) 4G based stations was also proposed,with whose general signal processing was deduced.Meanwhile,digital beam forming (DBF) technology in 4G based station system was adopted to minimize the cognitive interference caused by multi-antennas and multi-users.And an optimal beam weight based on fixed azimuth interference (OBW-FAI) was proposed.Weight vector was only related to the azimuth of the interferences,thus the proposed algorithm does not need real-time and repeat calculations,and had small complexity.Finally,the numerical simulation results verify that the proposed system and algorithm can effectively reduce interference between satellite-terrestrial network and terrestrial wireless network to a certain extent.…”
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Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient by Liu Lixin, Guo Feng, Wu Jinqiu

“…In this paper, fractal coding is introduced into UWAI compression, and a fractal coding algorithm based on interest region is proposed according to the importance of different regions in the image. …”
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Multi-Ground Station Collaborative Measurement and Control Technology for Giant Constellation System by Yang LIU, Di ZHOU, Min SHENG, Jiandong LI, Shiguang HAO, Xiaotian ZHENG

“…Measurement and control technology is the key technology to ensure the effi cient operation, maintenance and management of the constellation system.In recent years, with the continuous expansion of the constellation scale, mega-constellation system has gradually formed, which makes the demand for constellation measurement and control show an explosive growth, which puts forward new requirements for the completion of the constellation system measurement and control tasks.Firstly, the constraints of the megaconstellation system measurement and control tasks and the equipment constraints of the ground measurement and control station were analyzed, and the problem modeling was given; Secondly, an interaction method of the ground station agent based on the learning planning segment was proposed, by introduced the constraint penalty operator and the multi-ground station joint the penalty operator was designed to optimized the objective function.Finally, a multi-ground station Agent reinforcement learning algorithm was proposed to solved the multi-ground station cooperative task assignment strategy.Simulation experiments showed that when the task scale was large, the method had a gain of 12%~20% compared with the traditional algorithm in the diff erent scenarios mentioned.…”
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