AUTOMATIC CONTROL AND COMPUTER SCIENCES最新文献_第4页

Water Quality Assessment for Fishpond via Multisource Information Fusion 基于多源信息融合的鱼塘水质评价

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701098

Yang Hanhua, Chong Chen

{"title":"Water Quality Assessment for Fishpond via Multisource Information Fusion","authors":"Yang Hanhua,  Chong Chen","doi":"10.3103/S0146411624701098","DOIUrl":"10.3103/S0146411624701098","url":null,"abstract":"Data fusion can effectively process multisource information so as to obtain more accurate and reliable results. The data of water quality in a fishpond comes from various sensors, therefore the data must be fused. In this study, K-nearest interpolation, Grubbs criterion, a fuzzy comprehensive evaluation method, as well as an improved fruit fly optimization algorithm (IFOA) to find optimal parameters γ and σ of least squares support vector regression (LSSVR), were combined to provide accurate data for multisource information fusion modeling. The K-nearest interpolation method and grubbs criterion were employed to process abnormal data gross errors. Besides, a batch estimation adaptive weighted fusion algorithm was employed to, respectively, integrate the data from dissolved oxygen, water temperature, PH, and ammonia nitrogen concentration. A fuzzy comprehensive evaluation method, as well as analytic hierarchy process (AHP) were employed to obtain the true value of water quality grade. In addition, an IFOA-LSSVR model was proposed to predict the future water quality, which can better fit the nonlinear relationship between complex environmental factors and water quality. Experimental results show that the presented method can improve the data accuracy and provide decision results and scientific basis for the precision control of water quality environment.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 6","pages":"617 - 629"},"PeriodicalIF":0.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995293","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

GMM Based Fault Signature Estimation of Electromechanical Machines for Small and Medium-Sized Enterprises in IoT Environment 物联网环境下基于GMM的中小企业机电机械故障特征估计

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S014641162470113X

Verasis Kour, Parveen Kumar Lehana

{"title":"GMM Based Fault Signature Estimation of Electromechanical Machines for Small and Medium-Sized Enterprises in IoT Environment","authors":"Verasis Kour,  Parveen Kumar Lehana","doi":"10.3103/S014641162470113X","DOIUrl":"10.3103/S014641162470113X","url":null,"abstract":"Small and medium sized enterprises (SMEs) form backbone of a nation’s economy. Implementation of technologies like Internet of Things (IoT), however, is a challenge for majority of them as the conventional solution requires a lot of investment. Thus, financially restricted SMEs, especially in developing nations, remain aloof from leveraging the benefits of the technology. Resorting to affordable devices such as low-cost sensors, actuators, processors, servers, and network technologies etc., pose challenges like low memory, low computation power, less transmission power, low data transfer rate, and limited network bandwidth. Consequently, there arises a need to develop IoT based solutions that cater to these challenges so that low budget SMEs are also able to benefit from IoT’s umpteen advantages. This paper proposes an affordable IoT based framework for health status monitoring of machines in SMEs keeping the limitations imposed by low cost IoT devices as centre of the solution. The scope of the present research is limited to monitoring the health status of the electromechanical rotating machines only. Four types of commonly occurring faults in the machines at different rotating speeds are investigated using acoustic signals generated within the machines. Mahalanobis distance and Gaussian mixture model (GMM) have been employed for the analysis of the acoustic signals for estimating the unique fault dependent signatures. GMM works satisfactorily with smaller datasets and requires lesser amount of computational power in comparison to machine learning based algorithms. The investigations have showed that GMM may be effectively used in resource constrained SMEs deploying affordable IoT devices for predictive maintenance.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 6","pages":"663 - 678"},"PeriodicalIF":0.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995291","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

Rogust Sensor Fusion Using Federated Kalman Filter and Discrete Generalized-Proportional-Integral Observers 基于联邦卡尔曼滤波和离散广义比例积分观测器的鲁棒传感器融合

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701104

Edwards Ernesto Sánchez Ramírez, Alberto Jorge Rosales Silva, Ponciano Jorge Escamilla Ambrosio, Floriberto Ortiz Rodríguez, Rogelio Antonio Alfaro Flores, Jean Marie Vianney Kinani

引用次数: 0

Template-Free Neural Representations for Novel View Synthesis of Humans 人类新视角合成的无模板神经表示

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701165

Benshuang Chen, Liangjing Shao, Xinrong Chen

引用次数: 0

A Smart LSTM for Industrial Part Conformity: SME Material-Data Based Decision-Making 面向工业零件一致性的智能LSTM：基于材料数据的中小企业决策

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701153

Maha Ben Ayed, Mohamed Sayah, Raouf Ketata, Noureddine Zerhouni

{"title":"A Smart LSTM for Industrial Part Conformity: SME Material-Data Based Decision-Making","authors":"Maha Ben Ayed, Mohamed Sayah, Raouf Ketata, Noureddine Zerhouni","doi":"10.3103/S0146411624701153","DOIUrl":"10.3103/S0146411624701153","url":null,"abstract":"In predictive analysis for industrial parts, numerous studies have demonstrated the effectiveness of utilizing raw material data for quality prediction in monitoring systems. By analyzing and defining the composition, properties, and characteristics of raw materials, predictive models can optimize system performance and decision-making processes. In the context of small and medium enterprises (SMEs) like SCODER, limited resources constrain data collection for decision-making due to factors such as limited data availability, smaller production volumes, and less advanced traceability, leading to variability in data quality and structure. This research explores the impact of material characteristics on industrial part conformity with scarce and sparse data. Material impurities significantly affect the quality and stability of industrial machined parts. Some machine learning and AI techniques address the complexity of analyzing material datasets to identify patterns that lead to deficiencies in machined parts. We propose a smart long short-term memory (LSTM) model for predicting part conformity in industrial machined parts. This work focuses on analyzing raw material data to study machining stability and understand the dependencies between material data and part quality holistically. Our approach serves as a tool for ensuring quality production and industrial processing stability, leveraging data collected from machining parts at SCODER, a French SME specializing in ultraprecise stamping for automotive applications.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 6","pages":"690 - 704"},"PeriodicalIF":0.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995129","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

A Security Scheme for Source-Location Privacy Protection in Wireless Sensor Networks by Selecting Phantom Nodes 基于虚拟节点选择的无线传感器网络源位置隐私保护方案

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701128

Xiaoguang Wei, Qian Zhang

{"title":"A Security Scheme for Source-Location Privacy Protection in Wireless Sensor Networks by Selecting Phantom Nodes","authors":"Xiaoguang Wei,  Qian Zhang","doi":"10.3103/S0146411624701128","DOIUrl":"10.3103/S0146411624701128","url":null,"abstract":"Source-location privacy (SLP) is an important concern in wireless sensor networks (WSNs) as it can threaten WSN security. This paper first analyzed the SLP problem and then designed a node energy and distance-based SLP (NEDSLP) scheme from the point of selecting phantom nodes. The selection of phantom nodes occurred beyond the visible range of the source node, and the next hop routing was selected by considering both node energy and distance. This paper first briefly analyzed the SLP problem and then designed a node energy and distance-based SLP (NEDSLP) security scheme from the selection of phantom nodes, which selected phantom nodes outside the visual zone of the source node and selected the next hop routes by considering the node energy and distance together. Simulations on OMNet++ found that, compared with a protocol using source-based restricted flooding (PUSBRF) and a source location privacy protection scheme based on ring-loop routing (SLPRR), the NEDSLP scheme had a safety time of 886 when the number of hops was 50, which was 23% higher than the SLPRR. The energy consumption of the NEDSLP scheme was 72 hops, which was slightly higher than the PUSBRF but slightly lower than the SLPRR. The transmission delay was 46 hops, reduced by 25% compared to the PUSBRF and reduced by 18% compared to the SLPRR. The results demonstrate that the scheme proposed in this paper can effectively improve the security of SLPs for the purpose of protecting monitoring targets and can be further applied in WSNs.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 6","pages":"656 - 662"},"PeriodicalIF":0.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995290","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

Pyramidal Sun Sensor: A Novel Sun Tracking System Solution for Single Axis Parabolic Trough Collector 锥形太阳传感器：单轴抛物槽集热器太阳跟踪系统的新方案

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701189

Arslan A. Rizvi, Talha A. Khan, Cao Feng, Abdelrahman El. Leathy

{"title":"Pyramidal Sun Sensor: A Novel Sun Tracking System Solution for Single Axis Parabolic Trough Collector","authors":"Arslan A. Rizvi, Talha A. Khan, Cao Feng, Abdelrahman El. Leathy","doi":"10.3103/S0146411624701189","DOIUrl":"10.3103/S0146411624701189","url":null,"abstract":"A sun tracking system incorporated into a parabolic trough collector for precise control is presented in this study. The collector’s rotation axis is aligned with the east-west direction. With a concentration ratio of 160 and a narrow acceptance angle of 2 deg, achieving accurate tracking control is crucial for maximizing performance. To accomplish this, two established tracking configurations, namely open-loop and closed-loop, are utilized. The open-loop control utilizes a sun position algorithm. At the same time, the closed-loop system incorporates a sun sensor designed with light-dependent resistors. The proposed embedded system was verified using an experimental prototype. The experimental prototype was developed using the AVR ATMega32, a low-cost microcontroller. It was tested for tracking errors in both configurations. The outcome of the experimental prototype is presented in this work. The tracking controller provides a convenient solution to low-cost sun tracking using simple light-dependent resistors connected in a bridge configuration. The tracker’s accuracy can be conveniently controlled using the sun sensor’s threshold voltage, thus making it adaptable to different working environments.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 6","pages":"722 - 734"},"PeriodicalIF":0.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995131","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

Agri-NER-Net: Glyph Fusion for Chinese Field Crop Diseases and Pests Named Entity Recognition Network Agri-NER-Net：中国大田作物病虫害命名实体识别网络的字形融合

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701141

Lou Jianlou, Chi Xinyan, Huo Guang, Jin Qi, Hong Zhaoyang, Yang Chuang

{"title":"Agri-NER-Net: Glyph Fusion for Chinese Field Crop Diseases and Pests Named Entity Recognition Network","authors":"Lou Jianlou, Chi Xinyan, Huo Guang, Jin Qi, Hong Zhaoyang, Yang Chuang","doi":"10.3103/S0146411624701141","DOIUrl":"10.3103/S0146411624701141","url":null,"abstract":"Field crop pest and disease control knowledge texts contain rich core information such as pest and disease descriptions and control measures. However, it can be challenging to build a knowledge graph for field agricultural diseases due to certain domain characteristic, such as the use of specific terminology or pharmaceuticals, and multiple meanings of characters. Based on these analyses, we propose a named entity recognition method called Agri-NER-Net for field crop diseases and pests. The method firstly designs a multigranularity feature approach, combining characters, Chinese character glyphs, and words. Subsequently, we process these features using BiLSTM network pairs to model contextual long-range location-dependent features, and introduce a self-attention mechanism to enhance the model’s long-range dependency extraction capability. Finally, the LCRF (linear-conditional random field) model is used to predict the labelled sequence of target entities. The experimental results prove that the method proposed in this paper demonstrates a more excellent comprehensive recognition effect compared with the current mainstream named entity recognition models.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 6","pages":"679 - 689"},"PeriodicalIF":0.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995295","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

Study of a Radar Sensor Transmitter to Optimize a Bipolar Ultrawideband Pulse Used to Excite the Antenna 优化双极超宽带脉冲激励天线的雷达传感器发射机研究

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-01-17 DOI: 10.3103/S0146411624701177

V. Aristov, M. Greitans

引用次数: 0

Chinese License Plate Recognition Based on OpenCV and LPCR Net 基于 OpenCV 和 LPCR Net 的中文车牌识别

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AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-11-06 DOI: 10.3103/S0146411624700688

Yuehua Li, Yueyue Zhang, Jinfeng Wang, Fanfan Zhong, Bin Hu

{"title":"Chinese License Plate Recognition Based on OpenCV and LPCR Net","authors":"Yuehua Li, Yueyue Zhang, Jinfeng Wang, Fanfan Zhong, Bin Hu","doi":"10.3103/S0146411624700688","DOIUrl":"10.3103/S0146411624700688","url":null,"abstract":"Aiming to solve the low accuracy and slow speed of Chinese character recognition in the traditional license plate recognition, a method of license plate location, character segmentation and recognition using computer vision library OpenCV and license plate character recognition convolutional neural network (LPCR Net) is proposed. First, the RGB three-channel image is separated from the input image, and the input image is binarized by calculating the color characteristics of the license plate, then the multiple connected regions are obtained through morphological operations such as expansion and closure, the license plate location is completed via calculating the standard license plate aspect ratio and area; secondly, the horizontal and vertical projection method used in the traditional license plate character segmentation is improved to complete the license plate character segmentation, which improves the accuracy and speed of Chinese character segmentation; finally, the license plate character recognition is completed based on LPCR Net, and the recognition accuracy rate reaches 98.33%, which is 3.11% higher than that of AlexNet. Experimental results show that the proposed method can effectively improve the accuracy of license plate location, character segmentation and recognition.","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 5","pages":"580 - 591"},"PeriodicalIF":0.6,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595388","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