Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images by Louis Asiedu, Bernard O. Essah, Samuel Iddi, K. Doku-Amponsah, Felix O. Mettle

“…The algorithm performs relatively better on left reconstructed face images.…”
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Algorithm on joint optimization of power allocation and slot allocation in satellite communication systems by Han HAN, Ying LI, Xu DONG, Xiao-bo GUO, Qin-fei HUANG

“…An algorithm to jointly optimize the power allocation and the slot allocation in order to improve the utilization efficiency of the limited resources on the satellite was proposed.The basic principles of the mutual compensation and mutual independence between these two resources are explored to pave the way for joint optimization.Considering the differences about each station’s channel condition and capacity requirement,a state-combination model for optimally allocating the resources is setted up,so as to adapt the multi-resource usage pattern with each earth station.Targeting at the energy efficiency,an iterative dual optimization algorithm is proposed,and the final optimal policy for resource allocation with low complexity is obtained.With the simulation and analysis,the proposed joint optimization is verified to perform better than the non-joint ones in the perspective of the energy efficiency,especially when the frequency resource (the carrier number) is less.…”
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Classification of Riau Batik Motifs Using the Convolutional Neural Network (CNN) Algorithm by Dhea Amanda Ramadhan, Dian Ramadhani

“…By leveraging the Convolutional Neural Network (CNN) algorithm, the classification system was trained using a dataset of 1,440 images. …”
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Application of Multitask Joint Sparse Representation Algorithm in Chinese Painting Image Classification by Dongyu Yang, Xinchen Ye, Baolong Guo

“…Experiments show that the multiscale grayscale cooccurrence matrix algorithm outperforms the traditional grayscale cooccurrence matrix algorithm and the color grayscale cooccurrence matrix algorithm. …”
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An effective method for detecting the wheat freshness by integrating biophotonics and machine learning algorithm by Weiya Shi, Liang Chen

“…This study introduces an innovative approach for evaluating wheat freshness by integrating machine learning algorithms with Biophoton Analytical Technology (BPAT). …”
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Evaluation Algorithm of Labor Legal Effectiveness for Affirmative Action against Gender Discrimination by Liao Juan

“…The experimental results show that the error of the evaluation algorithm is small, and the accuracy of determining the key degree of the evaluation index is high.…”
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An Improvement of the Camshift Human Tracking Algorithm Based on Deep Learning and the Kalman Filter by Van-Truong Nguyen, Duc-Tuan Chu, Dinh-Hieu Phan, Ngoc-Tien Tran

“…In this paper, an improvement of the Camshift human tracking algorithm based on deep learning and the Kalman filter is proposed. …”
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New type of hot spot cluster centered positioning algorithm and its application by Shao-wu ZHOU, Bo-wei HUANG, Zhao-fu ZENG, Ming-hui ZHOU, Jie ZHAN

“…Considering the facts that the personnel orientation in the coal mine was difficult,and the existing algorithm is of high fixed position error,a new algorithm of hot spot cluster centered positioning for terrain underground in the coal mine was designed.The locations of moving nodes in po ion area were classified by using the RSSI,and the blind spots problems of positioning,which was not explained by the locating method mentioned in the existing literatures,was solved efficiently by means of new algorithm.Besides,the algorithm improved the real time performance and the accuracy of positioning.The validity of new algorithm was verified by the result of numerical simulation and experiment.…”
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The European regulation on AI in the face of the biases and risks of algorithmic discrimination in migration contexts by Encarnación La Spina

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Defect identification of fan blade based on adaptive parameter region growth algorithm by Wang Yifan, Wang Xueyao, Yang Dongmei, Ru Xinqin, Zhang Yuxin

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Experimental Study of Measuring Algorithm Accuracy of the Electromagnetic Distance Measurement Anticollision Tool by Cui Li, Lei Li, Yuzheng Zhao, Ruichao Zhang, Yuanwei Sun

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DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews by Yuanfang Dong, Xiaofei Li, Meiling He, Jun Li

“…This paper introduces an innovative Dual-Channel BiLSTM-CNN (DC-BiLSTM-CNN) algorithm. Based on the language characteristics of Chinese product reviews, a sentiment analysis algorithm, dual channel BiLSTM-CNN (DC-BiLSTM-CNN), is proposed. …”
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Compressed sensing reconstruction algorithm based on adaptive acceleration forward-backward pursuit by Zuozhou PAN, Zong MENG, Jing LI, Ying SHI

“…Aiming at the long running time problem of the traditional forward-backward pursuit (FBP) algorithm,an adaptive acceleration forward-backward pursuit (AAFBP) algorithm was proposed.The reconstruction process of AAFBP algorithm can be divided into two stages.In the forward stage,the AAFBP algorithm used the adaptive threshold to select the right amount of atoms to join the support set.In the backward stage,based on the projection coefficient of the atoms,the deletion threshold was introduced to remove the atoms adaptively and the excessive backtracking phenomenon in adaptive process was overcome simultaneously.The proposed method can ensure the number of the selected atoms more random,and more right atoms were retained in each iteration.The simulation results of one-dimensional sparse signal and two-dimensional image show that the AAFBP algorithm has more advantages in both the accuracy of reconstruction and the running time.…”
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Volcanic Ash Region Path Planning Based on Improved A-Star Algorithm by Lan Ma, Haotong Zhang, Shijun Meng, Jiayue Liu

“…The improved A-star algorithm is used to plan two flight paths from Madrid to Cairo and Algiers to Rome in volcanic ash areas. …”
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Compressive sensing based data gathering algorithm over unreliable links in WSN by Ce ZHANG, Xia ZHANG, Ou LI, Guan-lin MEI, Zhe HAN, Da-long ZHANG, Guang-yi LIU

“…To solve the problem that the ubiquitous unreliable links in the WSN influence the performance of the compressive sensing (CS) based data gathering,first the relationship between the reconstruction SNR of CS-based data gathering algorithm and the bit-error-ratio (BER) were simulated quantitatively.Then classify two cases were classified,namely light-payload and heavy-payload,relying on the analysis of wireless link packet loss characteristics.The random packet loss model was conceived to describe the packet loss under light-payload scenario.Further the neighbor topology spatial correlation prediction-based CS data gathering (CS-NTSC) algorithm was proposed,which utilized the nodes spatial correlation to reduce the impact of error.Additionally,the node pseudo-failure model was conceived to describe the packet loss occurred in network congestion,and then the sparse schedule-aided CS data gathering (CS-SSDG) algorithm were conceived,for the purpose of changing the sparsity of measurement matrix and avoiding measurements amongst the nodes affected by unreliable links,thus weakening the impact of error/loss on data reconstruction.Simulation analysis indicates that the proposed algorithms are not only capable of improving the accuracy of the data reconstruction without extra energy,but also effectively reducing the impact affected by the unreliable links imposed on CS-based data gathering.…”
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Vehicle Tracking Algorithm Based on Observation Feedback and Block Symmetry Particle Filter by Yanshuang Hao, Yixin Yin, Jinhui Lan

“…This paper proposes a novel particle filter algorithm for vehicle tracking, which feeds observation information back to state model and integrates block symmetry into observation model. …”
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Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing by Zhao Liquan, Ma Ke, Jia Yanfei

“…The modified adaptive orthogonal matching pursuit algorithm has a lower convergence speed. To overcome this problem, an improved method with faster convergence speed is proposed. …”
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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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Adaptive Heterogeneous Autoregressive Models of Realized Volatility Based on a Genetic Algorithm by Hui Qu, Ping Ji

“…We build on the HAR models and propose a new framework, adaptive heterogeneous autoregressive (AHAR) models, whose time horizon structures are optimized by a genetic algorithm. Our models can be applied to markets with different heterogeneous structures, and their time horizon structures can be adjusted adaptively as the market's heterogeneous structure varies. …”
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Wide area cooperative resource allocation algorithm for shortwave communication access network by Guojun LI, Xu HOU, Changrong YE, Yiping LUO

“…Aiming at the problem that short-wave point-to-point communication was not reliable enough to meet the actual needs, a wide area cooperative resource allocation algorithm based on shortwave communication access network was proposed.The reliability of the shortwave communication was improved by invoking multiple stations to coordinately guarantee users from different channels.The resource allocation problem was decomposed into two sub-problems of channel and station matching and station allocation.Firstly, the maximum expected success rate matching model was established to match the channel and the station, and the stations allocated to the channel were combined into different guarantee schemes.Then, the fuzzy analytic hierarchy process and the entropy weight method were used to obtain the subjective and objective scores of the scheme, and the optimal scheme was selected through fusion of evidence reasoning.The results show that the proposed algorithm can effectively improve the success rate of shortwave communication and has good adaptability.…”
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