OPTIMIZATION AND RESEARCH OF TIDAL TURBINE BLADES BASED ON GENETIC ALGORITHM by WANG YongDing, LI NingYe

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A Lightweight Small Target Detection Algorithm for UAV Platforms by Yanhui Lv, Bo Tian, Qichao Guo, Deyu Zhang

“…Therefore, a lightweight object detection algorithm tailored for UAV platforms, called RSG-YOLO, is proposed. …”
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Improved Kalman filter indoor positioning algorithm based on CHAN by Rui JIANG, Yue YU, Youyun XU, Xiaoming WANG, Dapeng LI

“…Due to the raising complexity of the indoor environment, the influence of the non-line-of-sight error is gradually increasing in indoor positioning.How to reduce the non-line-of-sight error in the indoor positioning environment is particularly significant.The UWB indoor positioning technology was selected, Kalman filter has been used widely in reducing the positioning error in indoor non-line-of-sight situations.However, in the process of switching between line of sight and non-line-of-sight scenes, the Kalman filter will produce a new error.To solve this problem, an improved Kalman filter indoor positioning algorithm based on CHAN was proposed.The ranging results of five or more base stations were used to construct a positioning solution equation set.Then the CHAN algorithm that was sensitive to positioning errors under non-line-of-sight conditions was selected to calculate the result.Finally, residual processing was performed with the results of each base station and different confidence regions were judged in line with the residual processing.For different confidence regions, the Kalman filter preset gain factor K was used to improve the stability of the positioning result and reduce the positioning error in the conversion process.In the simulation environment, the error can reach about 80 cm.In real scene, the algorithm can reduce the positioning error in non-line-of-sight scenes to 60 cm, which can improve accuracy 60% higher than normal complex indoor positioning.…”
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Efficient distributed traffic offloading algorithm based on SDN architecture by Wen-jie QIAN, Zhu REN, Wei-wei CHENG, Wen-tao LYU, Wei-qiang XU

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A Global Optimization Algorithm for Sum of Linear Ratios Problem by Yuelin Gao, Siqiao Jin

“…Therefore, a branch and bound algorithm for solving sum of linear ratios programming problem is put forward, and the convergence of the algorithm is proved. …”
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Differential Evolution Algorithm for Identification of Structural Damage in Steel Beams by Brunno Emidio Sobrinho, Gilberto Gomes, Welington Vital da Silva, Ramon Silva, Erwin U. L. Palechor, Luciano M. Bezerra

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A Danger-Theory-Based Immune Network Optimization Algorithm by Ruirui Zhang, Tao Li, Xin Xiao, Yuanquan Shi

“…Existing artificial immune optimization algorithms reflect a number of shortcomings, such as premature convergence and poor local search ability. …”
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Firefly Optimization-Based Cooperative Localization Algorithm for Intelligent IoT by Cheng peng Liu, Bin Xia, Liye Zhang

“…The traditional firefly localization algorithm only considers part of the ranging information, and the positioning effect is not good. …”
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Round reduction-based fault attack on SM4 algorithm by Min WANG, Zhen WU, Jin-tao RAO, Hang LING

Subjects: “…SM4 algorithm…”
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Detection of phishing websites based on the improved TrustRank algorithm by Hao HAN, Bowen LIU, Guoyuan LIN

“…Anti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features,which could be anti-detected when attackers are clear about the extraction process of features.Therefore,a method based on web pages relationship was proposed to detect phishing websites.According to this method,phishing websites were detected by an improved TrustRank algorithm which set up a collection of web pages and used the link relationship between phishing websites and other websites.Experiments show that the improved TrustRank algorithm can focus the trust values of phishing websites on some range with the lower false positive rate,the lower false negative rate and the higher speed compared to other methods.…”
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Multichannel speech enhancement algorithm based on hybrid reverberation model by XIE Yuan, ZOU Tao, SUN Weijun, XIE Shengli

“…Experimental results show that the proposed algorithm can enhance speech in high and low-reverberation noise environments, and its enhancement effect is superior to popular speech enhancement algorithms, the performance indicators of speech enhancement, perceptual evaluation of speech quality score (PESQ) value and short-time objective intelligibility (STOI) value, have increased by 30% and 20%, respectively.…”
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An Improved Harmony Search Algorithm for Proactive Routing Protocol in VANET by Ravie Chandren Muniyandi, Mohammad Kamrul Hasan, Mustafa Raad Hammoodi, Ali Maroosi

“…The harmony search (HS) is an emerging metaheuristic optimization algorithm with features of simplicity and exploration efficiency. …”
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Node selection algorithm based on channel coefficient for cognitive network by Jin-huai GUO, Ke-feng FAN, Su-bing ZHANG

“…To improve communication performance of cognitive network,according to the principle of opportunity cooperative communication,node selection algorithm based on channel coefficient for cognitive network was proposed and studied.Results show that the proposed algorithm can enhance spectrum utilize efficiency and improve network throughput effectively.…”
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A Formula Adaptive Pixel Pair Matching Steganography Algorithm by Min Long, Fenfang Li

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Cryptanalysis of an Image Encryption Algorithm Using DNA Coding and Chaos by Yuzhuo Zhao, Qiqin Shi, Qun Ding

“…In recent years, many chaotic image encryption algorithms have been cracked by chosen plaintext attack. …”
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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Cross-Domain Recommendation Algorithm Based on Latent Factor Model by Sheng Gao, Siting Ren, Jun Guo

“…In the internet environment，the combining of multi-source heterogeneous information objects in different areas makes users face information selection dilemma problem in big data environment.It has been very difficulty for traditional information recommendation algorithms to adapt to the interdisciplinary information recommendation service.The evaluation model from a user clustering set to an information object clustering set has common characteristics of cross-domain and personality characteristics of single domain.By analyzing the evaluation data from users to information objects in different areas，these characteristics were extracted based on latent factor model.Then by transmitting and sharing the common characteristics of cross-domain，the data sparseness problem of target field was alleviated，which could improve the accuracy of cross-domain information recommendation.…”
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Differential evolution algorithm for identification of structural damage in steel beams by Brunno E. Sobrinho, Gilberto Gomes, Welington V. da Silva, Ramon S. Y. R. C. Silva, Luciano M. Bezerra, Erwin U. L. Palechor

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An Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm by Tao Ma, Huidong Guo, Xin Li

“…Compared to Multi-Valued Decision Diagram (MDD)-based evaluation algorithms, this method is suitable for large-scale LWSNs and offers lower time complexity.…”
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Optimization of Backpropagation Neural Network under the Adaptive Genetic Algorithm by Junxi Zhang, Shiru Qu

“…This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the backpropagation (BP) neural network (BPNN), so as to expand the application of the BPNN model in nonlinear issues. …”
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