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Improved AOA Algorithm to Optimize Image Entropy for Image Recognition Model 改进 AOA 算法，优化图像识别模型的图像熵
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-08-28 DOI: 10.3103/S014641162470055X
Qi Yao,  Dayang Jiang
{"title":"Improved AOA Algorithm to Optimize Image Entropy for Image Recognition Model","authors":"Qi Yao,&nbsp; Dayang Jiang","doi":"10.3103/S014641162470055X","DOIUrl":"10.3103/S014641162470055X","url":null,"abstract":"<p>With the continuous development of computer vision, the application of image recognition technology is becoming increasingly widespread. An edge detection image recognition model based on improved artificial bee colony algorithm has been proposed. Firstly, the identification process of artificial bee colonies is designed. To solve the algorithm easily falling into local optima, a GA with a global search strategy is further improved, achieving an improvement in model operation speed and coherence. Moreover, the target detection and localization methods are selected. The Canny operator and line fitting method are ultimately determined for image search and localization. To further verify the reliability of the improved artificial bee colony algorithm, simulation experiments are conducted on the MATLAB platform. The experimental results show that under 0.1 noise, the improved artificial bee colony algorithm has better recognition accuracy, compared to the particle swarm algorithm. The calculation time is reduced by 7.35s. In summary, the improved artificial bee colony algorithm has the best recognition accuracy and noise resistance performance.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 4","pages":"441 - 453"},"PeriodicalIF":0.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Secure Turbo Codes Design Using Chaotic Interleaver Based on Generalized 2D Chaotic Map 使用基于广义二维混沌图的混沌交织器设计安全 Turbo 码
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-08-28 DOI: 10.3103/S0146411624700536
Ahmed Sahnoune, Sefouane Chellali, Daoud Berkani, Elhadj Zeraoulia
{"title":"Secure Turbo Codes Design Using Chaotic Interleaver Based on Generalized 2D Chaotic Map","authors":"Ahmed Sahnoune,&nbsp;Sefouane Chellali,&nbsp;Daoud Berkani,&nbsp;Elhadj Zeraoulia","doi":"10.3103/S0146411624700536","DOIUrl":"10.3103/S0146411624700536","url":null,"abstract":"<p>Design of interleavers with a compromise between reliability and complexity of implementation is a challenging code design problem. This paper deals with the design of chaotic interleavers for secure turbo codes using a novel generalized 2D chaotic map. Compared with random interleavers, the proposed interleavers improve the performances while reducing the complexity of implementation. Furtheremore, parameters of chaotic maps can be used to jump from a map to the other which improve the security against decoding attacks. The proposed interleavers enhance the reliability and physical layer security.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 4","pages":"420 - 428"},"PeriodicalIF":0.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Majorization Resource for Visual Communication Effect of Multiframe Low-Resolution Photograph Sequence 多帧低分辨率照片序列视觉传播效果的主要资源
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-08-28 DOI: 10.3103/S0146411624700573
Zhipeng Yu,  Qiang Wan
{"title":"Majorization Resource for Visual Communication Effect of Multiframe Low-Resolution Photograph Sequence","authors":"Zhipeng Yu,&nbsp; Qiang Wan","doi":"10.3103/S0146411624700573","DOIUrl":"10.3103/S0146411624700573","url":null,"abstract":"<p>In contemporary society, individuals have elevated expectations for visual communication. Low-resolution images can negatively impact image quality and viewing experience. As a result, enhancing the visual communication of multiframe, low-resolution image sequences has become a primary focus of current research. This study optimized the visual communication effect of multiframe, low-resolution photo sequences using deep photo superresolution reconstruction technology based on low-resolution, color-guided photos. Meanwhile, the visual communication effect of multiframe low-resolution image sequences has also been improved. The experimental results indicated that from the perspective of infrared spectroscopy, multiframe video photo visual communication resources could have a harvest probability of 99% and a tracking efficiency of 96%. The reconstruction results of deep photos from various sources indicated that sparse encoding-based superresolution resources are suitable for doll images. Among different color photo superresolution algorithms, gradient-based upsampling network and adaptive separable data-specific transformation resources can better recover guided photos. Optimization algorithms can effectively enhance the visual communication of multiframe low-resolution image sequences by removing noise and improving image details while maintaining the natural style of the image and enhancing clarity. The proposed image strength enhancement method can address the issue of poor visual communication performance in multiframe low-resolution image sequences. The resources for optimizing visual connection effects in multiframe, low-resolution photo sequences can solve the problem of multiframe and low-resolution simultaneously. This approach has greater potential for development compared to a single solution. Therefore, this application holds significant reference value.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 4","pages":"459 - 471"},"PeriodicalIF":0.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CSASNet—A Crop Leaf Disease Identification Method Based on Improved ShuffleNetV2 CSASNet- 一种基于改进型 ShuffleNetV2 的作物叶病识别方法
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-08-28 DOI: 10.3103/S0146411624700524
Lou Jianlou, Xie Xuan, Huo Guang, Hong Zhaoyang, Yang Chuang, Jin Qi
{"title":"CSASNet—A Crop Leaf Disease Identification Method Based on Improved ShuffleNetV2","authors":"Lou Jianlou,&nbsp;Xie Xuan,&nbsp;Huo Guang,&nbsp;Hong Zhaoyang,&nbsp;Yang Chuang,&nbsp;Jin Qi","doi":"10.3103/S0146411624700524","DOIUrl":"10.3103/S0146411624700524","url":null,"abstract":"<p>In identifying crop leaf diseases, Due to the complex nature of the disease symptoms. There may be variations in disease symptoms with similar characteristics and similarities in disease symptoms with different elements. This can make it challenging to differentiate between various diseases. CSASNet is a hybrid classification model proposed in this paper that combines the attention and multiscale feature fusion mechanisms. The model first incorporates the multiscale feature fusion module atrous spatial pyramid pooling (ASPP) into the ShuffleNetV2 network structure. This enriches the network with disease-specific multiscale feature information. Additionally, the model combines the special group-wise enhance (SGE) attention mechanism module to enhance the weight of disease spot feature information. Lastly, the leaky ReLU function replaces the original ReLU activation function. This allows the model to reduce damaging feature loss during training. The paper presents a design of multiple cross-validation experiments for comparison. The experimental results suggest that the improved model was used for disease leaf identification and showed an accuracy improvement on different crops. Compared to Convnext and MobileNetV2, the CSASNet model demonstrates higher recognition accuracy.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 4","pages":"408 - 419"},"PeriodicalIF":0.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Adaptive Indicator Optimization Ensemble Empirical Mode Decomposition Method and Its Application on the Denoising of BeiDou B1I Signal 自适应指标优化集合经验模式分解方法及其在北斗 B1I 信号去噪中的应用
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-06-27 DOI: 10.3103/S0146411624700214
Wei Li, Kai Zhang, ChunPeng Zhang, Qiang Wang, Yi Zhang
{"title":"An Adaptive Indicator Optimization Ensemble Empirical Mode Decomposition Method and Its Application on the Denoising of BeiDou B1I Signal","authors":"Wei Li,&nbsp;Kai Zhang,&nbsp;ChunPeng Zhang,&nbsp;Qiang Wang,&nbsp;Yi Zhang","doi":"10.3103/S0146411624700214","DOIUrl":"10.3103/S0146411624700214","url":null,"abstract":"<p>The ensemble empirical mode decomposition (EEMD) is an effective method for processing nonlinear and nonsmooth signals, solving the problem of modal mixing during the signal decomposition process. However, the selection of intrinsic mode functions (IMF) components during the EEMD reconstructed process is blindness. The IMF components are the signal components of each layer obtained after the original signal decomposed by EMD. This paper proposes an adaptive indicator optimization EEMD (AIO-EEMD) signal denoising method. Firstly, a new adaptive reconstruction component indicator r and its corresponding method are proposed by combining the traditional measurement indexes. Then, the proposed method is used to reconstruct the BeiDou signal. Finally, four different methods are used to compare the signal reconstruction experiments. The experimental results show that the proposed method is superior to the other three traditional methods and can perform better during its reconstruction process.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 3","pages":"336 - 345"},"PeriodicalIF":0.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
C-QoSRP: Cluster Based QOS-Routing Protocol for VANET in Highway Environment C-QoSRP：高速公路环境下基于集群的 VANET QOS 路由协议
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-06-27 DOI: 10.3103/S0146411624700196
Fatima Belamri, Samra Boulfekhar, Djamil Aissani
{"title":"C-QoSRP: Cluster Based QOS-Routing Protocol for VANET in Highway Environment","authors":"Fatima Belamri,&nbsp;Samra Boulfekhar,&nbsp;Djamil Aissani","doi":"10.3103/S0146411624700196","DOIUrl":"10.3103/S0146411624700196","url":null,"abstract":"<p>This paper presents a new cluster-based quality of service routing protocol (C-QoSRP) designed for VANET in a highway setting, offering the benefit of wide-range communication facilitated by road-side units (RSUs). The protocol incorporates the K-nearest neighbor (KNN) algorithm to optimize cluster stability by combining mobility and link quality metrics. A noteworthy aspect of this approach is that in the event of a cluster head (CH) failure, C-QoSRP employs RSUs as temporary cluster heads (TCHs). The TCH assumes the CH’s responsibilities to ensure reliable communication within the cluster. Unlike traditional protocols that primarily focus on CH stability, C-QoSRP aims to minimize transmission delays and improve overall network stability. Simulation results demonstrate that C-QoSRP protocol surpasses existing ones in terms of QoS parameters such as packet delivery ratio, end-to-end delay, throughput, overhead and Cluster stability.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 3","pages":"313 - 325"},"PeriodicalIF":0.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Binary Wavelet Transform-Based Financial Text Image Authentication Algorithm 基于二进制小波变换的金融文本图像识别算法
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-06-27 DOI: 10.3103/S0146411624700202
Wenjin Wang, Miaomiao Lu, Xuanling Dai, Ping Jiang
{"title":"Binary Wavelet Transform-Based Financial Text Image Authentication Algorithm","authors":"Wenjin Wang,&nbsp;Miaomiao Lu,&nbsp;Xuanling Dai,&nbsp;Ping Jiang","doi":"10.3103/S0146411624700202","DOIUrl":"10.3103/S0146411624700202","url":null,"abstract":"<p>This paper presents a novel financial text image security authentication algorithm based on binary wavelet transform. Initially, the algorithm preprocesses the original financial text image using binary wavelet transform. Subsequently, it categorizes the pixels in each low-frequency subband image block based on their flippability. The “nonflippable” pixels are then hashed to generate watermark information, which replaces the “flappable” pixels in the corresponding mapping block to embed the watermark into the low-frequency subband. By studying the characteristics of high-frequency coefficients, the algorithm identifies the flippable coefficients in the frequency domain and uses block mapping to embed high-frequency subband encryption watermark information. The authenticity of the image block is verified by comparing the consistency between the reconstructed watermark and the extracted watermark. Furthermore, the “low-frequency-high-frequency subband joint judgment criterion” is employed to enhance tampering detection performance. Our experimental results indicate that the structural similarity (SSIM) of financial text images embedded with watermarks using this algorithm is above 0.99, satisfying the human visual system’s image quality requirements. Under different tampering attack rates, the missed-detection probability and false-detection probability of this algorithm are lower than those of existing methods. It is also compatible with financial text image compression algorithms, making it suitable for tampering detection of important financial text images.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 3","pages":"326 - 335"},"PeriodicalIF":0.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multisensor Maneuvering Target Fusion Tracking Using Interacting Multiple Model 利用交互式多重模型进行多传感器机动目标融合跟踪
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-06-27 DOI: 10.3103/S0146411624700184
Baofeng Zhao
{"title":"Multisensor Maneuvering Target Fusion Tracking Using Interacting Multiple Model","authors":"Baofeng Zhao","doi":"10.3103/S0146411624700184","DOIUrl":"10.3103/S0146411624700184","url":null,"abstract":"<p>For multisensor maneuvering target tracking, two important factors affecting the tracking performance are: (1) the uncertainty of the target dynamics model; (2) the cross-correlation of local estimation errors across sensors. For these problems, a new model-level information fusion algorithm based on interacting multiple model (IMM) is proposed. First, in each local sensor, the IMM algorithm is used to deal with the problem of uncertainty of the dynamics model caused by the target maneuver, and the obtained model-level information (Gaussian mixture probability density) instead of the state estimation after model mixing is sent to the fusion center. This effectively avoids the loss of information in the process of model mixing. Second, for the correlation between local estimates, a new model level information decorrelation algorithm for IMM is proposed to obtain decorrelated fusion information. Finally, in the fusion center, the fusion of the de-correlated estimation information is completed by the naive fusion method. The simulation experiments verify the performance of the proposed algorithm.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 3","pages":"303 - 312"},"PeriodicalIF":0.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic Properties and Chaos Control of a High Dimensional Double Rotor Model 高维双转子模型的动态特性与混沌控制
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-06-27 DOI: 10.3103/S0146411624700123
Feng Guo, Hong Zhang, Hong Yu
{"title":"Dynamic Properties and Chaos Control of a High Dimensional Double Rotor Model","authors":"Feng Guo,&nbsp;Hong Zhang,&nbsp;Hong Yu","doi":"10.3103/S0146411624700123","DOIUrl":"10.3103/S0146411624700123","url":null,"abstract":"<p>In this paper, a high dimensional double rotor model is proposed. We establish its dynamic equations, and simply it into a four-dimensional mapping form. The bifurcations of the double rotor mapping under different control parameters are investigated. The chaotic dynamic behavior of the model is controlled by improving the pole assignment method. With the linear control theory, a control parameter is selected and the period-1 is chosen as control target. When the mapping point wanders to the neighborhood of the periodic point, the control parameter is perturbed. The unstable period-1 orbit is controlled to be a stable periodic orbit. Numerical simulations are consistent with the theoretical analysis. The results of this research show that this chaos control method can be applied to the 4-dimensional model and can be realized.The research results indicate when the selected regulator poles are different, the control times are different.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 3","pages":"227 - 236"},"PeriodicalIF":0.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Detection and Correction of High-Speed Train Idling and Skidding Based on Improved Fuzzy Neural Network 基于改进型模糊神经网络的高速列车空转和侧滑检测与修正研究
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-06-27 DOI: 10.3103/S0146411624700160
Zhao Tingyang, Hou Tao, Niu Hongxia
{"title":"Research on Detection and Correction of High-Speed Train Idling and Skidding Based on Improved Fuzzy Neural Network","authors":"Zhao Tingyang,&nbsp;Hou Tao,&nbsp;Niu Hongxia","doi":"10.3103/S0146411624700160","DOIUrl":"10.3103/S0146411624700160","url":null,"abstract":"<p>In order to solve the problem of weak idling and skidding detection in high-speed train operation, an improved adaptive fuzzy neural network method for detecting and correcting idling and skidding of a high-speed train is put forward in this paper. This paper simulated the output speed data of 4-speed sensors of the high-speed train, designed an improved adaptive fuzzy neural network, selected some standard operation data and idling and skidding data, and trained and tested the fuzzy neural network, according to the detection results, the data of nonidling and nonskidding were fused by the adaptive weighted average method. The accelerometer sensor was used to compensate for the idling and skidding time. The simulation results show that the improved algorithm has a more extensive detection range and higher accuracy than the fixed threshold method. The correction design can effectively compensate for the train speed. The method is proved effective in detecting weak idling and slip, improving the speed measurement accuracy of high-speed trains, and having a specific application reference value.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 3","pages":"274 - 288"},"PeriodicalIF":0.6,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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