Zero-shot classification with multi-model information interaction and its application in Mars exploration scenarios by TAN Xiaomeng, XI Bobo, XUE Changbin, LI Yunsong

“…For algorithm research, a zero-shot scene classification algorithm based on multi-modal feature interaction was proposed. …”
Get full text

Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…Finally, a PJM 5-bus test case is used to compare the rewards obtained by DDQN and traditional Q-learning algorithm. The results shows that the DDQN algorithm can make appropriate decisions according to the complex state while the Q-learning algorithm has poor performance. …”
Get full text

Optimizing the learning rate for adaptive estimation of neural encoding models. by Han-Lin Hsieh, Maryam M Shanechi

“…Using these functions, our calibration algorithm can keep the steady-state parameter error covariance smaller than a desired upper-bound while minimizing the convergence time, or keep the convergence time faster than a desired value while minimizing the error. …”
Get full text

3D Voxel-based Collaborative Path Planning for UAVs in Urban Emergency Response by Z. Wu, Z. Wang, W. Xie, Z. Lin, Y. Wu, Y. Mo

“…The experimental results verify the validity of this framework, compared to the conventional A* algorithm, the algorithm put forward in this study decreases the total route length by 23.80%, while also improving path smoothness. …”
Get full text

Neutron Spectrum Unfolding Method Based on Compressed Sensing Theory by WU Guanghao1, SHAO Gang2, SHI Guang3, LIU Bin4, 5, PAN Liangming4, 5, WANG Feng4, 5, ZHOU Xiaowei4, 5

“…The proposed method includes two processes, such as the sparse representation process and the sparse reconstruction process. Two kinds of algorithms, the K-SVD algorithm and the online dictionary learning algorithm, were applied for sparse representation. …”

Assigning Priorities for Fixed Priority Preemption Threshold Scheduling by Saehwa Kim

“…This paper analyzes the inefficiency or nonoptimality of the previously proposed optimal priority assignment algorithms for PTS. We develop theorems for exhaustively but safely pruning infeasible priority orderings while assigning priorities to tasks for PTS. …”
Get full text

Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…With the advancement of computer technologies, various data models and algorithms have been integrated into industrial processes, significantly improving the efficiency of anomaly detection in datasets while reducing time and energy consumption. …”
Get full text

Parallel Tracking and Mapping for Controlling VTOL Airframe by Michal Jama, Dale Schinstock

“…The main contributions of this work include: (1) extension of the map building algorithm to enable it to be used realistically while controlling a UAV and simultaneously building the map; (2) improved performance of the SLAM algorithm for lower camera frame rates; and (3) the first known demonstration of a monocular SLAM algorithm successfully controlling a UAV while simultaneously building the map. …”
Get full text

Design of an Extended Interacting Multiple Models Adaptive Estimator for Attitude Determination of a Stereoimagery Satellite by Hossein Bolandi, Farhad Fani Saberi, Amir Mehrjardi Eslami

“…In this method, the motion of satellite during stereoimaging manoeuvres is partitioned into two different modes: “manoeuvring motion” mode and “uniform motion” mode. The proposed algorithm will select the suitable Kalman filter structure to estimate gyro errors accurately in order to maintain the peak attitude estimation error less enough at the beginning of manoeuvres while the satellite is in “manoeuvring motion” mode and then will select the suitable star sensor measurement noise level at the end of manoeuvres while the satellite is in “uniform motion” mode to reduce attitude estimation errors. …”
Get full text

Optimization of multi-structural parameters in metamaterials based on the DGN co-simulation method. by Shangyang Jin, Fuxing Chen, Jie Bai, Bingfei Liu

“…For the optimization problem of complex structures, firstly, the relationship between the structural parameters on acoustic performance can be obtained by fitting the relationship between design factors and the response function through DOE. Then the global algorithm is combined with the local algorithm to solve the problem of poor convergence of the global optimization algorithm while ensuring the optimization quality of the local optimization algorithm. …”
Get full text

Local Alignment of DNA Sequence Based on Deep Reinforcement Learning by Yong-Joon Song, Dong-Ho Cho

“…This paper proposes a DQN x-drop algorithm that performs local alignment without human intervention by combining the x-drop algorithm with this DQNalign algorithm. …”
Get full text

A New Construction Method for Rectangular Cartograms by Lina Wang, Haoxun Yuan, Xiang Li, Pengfei Lu, Yaru Li

“…This algorithm simplifies the layout computation process while ensuring that the adjacency and relative positional relationships between regions during the layout generation process have only minor errors. …”
Get full text

Optimum sizing of hybrid sustainable and renewable energy systems using a modified harris hawks optimizer by Djamel Eddine Sifou, Aissa Kheldoun, Ahmed Chaib, Hamza Belmadani, Hisham Alharbi, Saleh S. Alharbi, Takele Ferede Agajie, Sherif S.M. Ghoneim

“…The modified version incorporates a vector that saves the best three solutions and opposition learning to enhance the population diversity and assist the algorithm in jumping out of local optima regions. Three scenarios are presented, the first is modeled by PV/Bat the second one is modeled by WT/Bat while the third one consists of PV/WT/Bat. …”
Get full text

An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…This algorithm utilizes the CMA-ES algorithm for feature search while also taking into account the mutual information and collinearity among features, thereby more effectively reducing redundancy features. …”
Get full text

An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system by Ivan V. Stepanyan, Safa A. Hameed

“…While the feedforward artificial neural network technique is focused on input processing, this should be based on the process of breaking the feedforward artificial neural network algorithm. …”
Get full text

An authorizable and preprocessable data transmission scheme based on elliptic curves by Zhongshan Zhu, Liutao Zhao, Yong Pan, Xiaojuan Lu, Zheng Wang, Fanyin Meng

“…Experimental results show that for a 1KB data transmission, the execution times for the one-time public key generation algorithm, encryption algorithm, authorization algorithm, decryption algorithm, and signature verification algorithm were 3.34/28.37/0.58/3.32/4.58 ms, respectively, indicating high efficiency for each algorithm. …”
Get full text

Multiple deception resources deployment strategy based on reinforcement learning for network threat mitigation by Changsong Li, Ning Zhao, Hao Wu

“…This effectively reduces defense costs while ensuring defense efficiency. In addition, the algorithm demonstrates good convergence and stability.…”
Get full text

Association of the Tracked Trajectories and Marks by the Attraction Method During Secondary Processing of Radar Information by U. A. Aparovich

“…The article proposes a new algorithm for associating the tracked trajectories and newly received marks by coordinates during the secondary processing (track-while-scan) of radar information. …”
Get full text

An Effective Heuristic-Based Approach for Partitioning by Xibin Zhao, Hehua Zhang, Yu Jiang, Songzheng Song, Xun Jiao, Ming Gu

“…We note that the genetic algorithm has a strong global search capability, while the simulated annealing algorithm will fail in a local optimal solution easily. …”
Get full text

Load prediction based elastic resource scheduling strategy in Flink by Ziyang LI, Jiong YU, Yuefei WANG, Chen BIAN, Yonglin PU, Yitian ZHANG, Yu LIU

“…In order to solve the problem that the load of big data stream computing platform fluctuates drastically while the cluster was suffering from the performance bottleneck due to the shortage of computing resources,the load prediction based elastic resource scheduling strategy in Flink (LPERS-Flink) was proposed.Firstly,the load prediction model was set up as the foundation to propose the load prediction algorithm and predict the variation tendency of the processing load.Secondly,the resource judgment model was set up to identify the performance bottleneck and resource redundancy of the cluster while the resource scheduling algorithm was proposed to draw up the resource rescheduling plan.Finally,the online load migration algorithm was proposed to execute the resource rescheduling plan and migrate processing load among nodes efficiently.The experimental results show that the strategy provides better performance promotion in the application with drastically fluctuating processing load.The scale and resource configuration of the cluster responded to the variation of processing load in time and the communication overhead of the load migration was reduced effectively.…”
Get full text