A New Image Restoration Method for MUSER by Wei Wang, Yihua Yan

“…This restoration method has applied to data processing of Mingantu spectral radioheliograph.…”
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Navigating the Digital Landscape Spatially: Assessing P2P Lending Influence on Banking Performance and Risk in Indonesia by Fitri Susilowati, Suryanto Suryanto

“…The research method used a quantitative approach with data from the Financial Services Authority (OJK). Data processing employed Arellano Bond's two-step dynamic panel regression analysis (GMM), as the available data range was 2020-2022. …”
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Tactical measures set to improve the import substitution process in the field of Russian pharmaceuticals by L. V. Orlova, P. V. Zobov

“…Based on the information received, the policy of state actions for the purchase of imported substances, raw materials, equipment from China and India is analyzed using modern data processing methods. Guided by modern tools for managing business strategies in industry, tactical measures that will speed up the process of import substitution through the formation and effective use of the research, technological and production potential of the state are proposed. …”
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Machine Learning with Variable Sampling Rate for Traffic Prediction in 6G MEC IoT by Rongqun Peng, Xiuhua Fu, Tian Ding

“…The high-speed development of mobile broadband networks and IoT applications has brought about massive data transmission and data processing, and severe traffic congestion has adversely affected the fast-growing networks and industries. …”
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An English Online Homework Tutoring System Supported by Internet Database by Huanxiang Hao

“…Therefore, this paper designs an Internet-based online tutoring platform for college English teaching, which is accelerated by using the K-means clustering algorithm. The data processing efficiency and processing methods to improve user satisfaction require more practical experience to summarize. …”
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Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

“…Aiming at the needs of edge computing for data privacy, the correctness of calculation results and the auditability of data processing, a privacy protection method for edge computing based on blockchain and federated learning was proposed, which can realize collaborative training with multiple devices at the edge of the network without a trusted environment and special hardware facilities.The blockchain was used to endow the edge computing with features such as tamper-proof and resistance to single-point-of-failure attacks, and the gradient verification and incentive mechanism were incorporated into the consensus protocol to encourage more local devices to honestly contribute computing power and data to the federated learning.For the potential privacy leakage problems caused by sharing model parameters, an adaptive differential privacy mechanism was designed to protect parameter privacy while reducing the impact of noise on the model accuracy, and moments accountant was used to accurately track the privacy loss during the training process.Experimental results show that the proposed method can resist 30% of poisoning attacks, and can achieve privacy protection with high model accuracy, and is suitable for edge computing scenarios that require high level of security and accuracy.…”
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: An IoT Driver Framework for Supporting Sensor Networks and Data Analysis by László Lengyel, Péter Ekler, Tamás Ujj, Tamás Balogh, Hassan Charaf

“…Application and service development methods and frameworks are required to support the realization of solutions covering data collection, transmission, data processing, analysis, reporting, and advanced querying. …”
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Autonomous Control Architecture of Satellite Intelligent Computing Platform by GAO Jixing, XU Zhiping, DING Wenhui, DING Xihao, LIU Zhixin, YU Zhigang, LU Zhou

“…In order to meet the service quality requirements of emerging applications such as mobile Internet of things and intelligent logistics, with the progress of space and information technology, it has become one of the main methods to shorten the response time by deploying intelligent computing platforms in satellites for on-orbit data processing. At present, the scale of low-orbit satellites is huge, and they are often in areas that are difficult to directly measure and control, and there have many working modes, so they need the ability of independent control. …”
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De l’étude de cas à l’analyse de l’activité by Jacques Leplat

“…The second part examines and discusses some characteristic steps of the process common to both methods : choice of the case and purpose of the study, data planning and gathering, data processing and interpretation, and finally, generalization of the conclusions and comparison with existing knowledge. …”
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An efficient real-time signal processing method for satellite laser ranging. by Jinyu Wang, Wei Zhu, Weiming Gong

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”
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Task-Level Data Model for Hardware Synthesis Based on Concurrent Collections by Jason Cong, Karthik Gururaj, Peng Zhang, Yi Zou

“…Based on the concurrent collection (CnC) model, which provides the maximum freedom of task rescheduling, we propose task-level data model (TLDM), targeted at the task-level optimization in hardware synthesis for data processing applications. Polyhedral models are embedded in TLDM for concise expression of task instances, array accesses, and dependencies. …”
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Experimental Investigation of Angular Stackgram Filtering for Noise Reduction of SPECT Projection Data: Study with Linear and Nonlinear Filters by Antti P. Happonen, Matti O. Koskinen

“…Recently, we have introduced an alternative approach to sinogram data processing, exploiting the angular information in a novel way. …”
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Design and Performance Analysis of New Tooth Profile of Harmonic Drive by Yu Jinbao, Fan Yuanxun

“…Based on the basic profile of the tool,according to the tooth profile normal method to obtain the flexible gear tooth profile,then the conjugated rigid wheel profile is solved by the envelope theory. Using the data processing ability and graphics display function of the Matlab software,the parameters and shape of the flexion wheel tooth profile is displayed by programming,and the new tooth profile meshing performance is judged,the theoretical meshing arc length and the number of pairs of tooth meshing at the same time are calculated. …”
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An Analysis of the Obligation to Review Archaeology Curriculum Based on Competency-Based Curriculum Approach by Mahsa Veisi

“…The collection of data required in this study is library and documentary, and the method of data processing is descriptive and explanatory.…”
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Influence Factors Analysis of Provincial Divorce Rate Spatial Distribution in China by Liyun Su, Changhai Liang, Xiaohe Yang, Yang Liu

“…It is reflected in the high divorce rate of the majority of ethnic minority population, while, in the spatial data processing, the factor spatial lag model (FSLM) is better than the ordinary least square (OLS) regression model.…”
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Dampak Nilai Personal dan Pertimbangan Konsekuensi Masa Depan Terhadap Intensi Sustainable Entrepreneurship dalam Komunitas Muslim by Fajar Andrian Sutisna, Febrina Putri Salma, Amalia Zhalzabilla

“…The data analysis model in this study uses Structural Equation Modeling (SEM) with Smart-PLS data processing software. The results showed that the egoistic values and CFC-I variables had a significant and positive influence on the attitude of sustainable entrepreneurship. …”
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Novel method for angle estimating of bistatic MIMO radar by Zhi-dong ZHENG, Jian-yun ZHANG, Jin-you QU, Xiu-qing LIN

“…The extended signal subspace was constructed to reduce the computation load of former data processing of bistatic MIMO radar.According to the characteristic of this signal subspace,the polynomial rooting-spatial filtering algorithm was proposed to estimate the direction of arrivals (DOA) and direction of departure (DOD).It avoided the conventional two-dimensional spectrum searching and the estimated parameters were paired automatically without extra pairing operation.Furthermore,Cramer-Rao bounds (CRB) for DOA and DOD estimation were derived under multi-target and single target in bistatic MIMO radar.The results illustrate that when spatial sector is filt the higher order of the Taylor series expansion,the better angular accuracy of targets can be derived.The proposed algorithm can get good estimation performance even when the DODs of targets are close to each other.And the polynomial rooting-spatial filtering algorithm can perform better than ESPRIT algorithm in resolution in SNR,and both of them are close to the CRB in the high SNR.…”
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Time Series Symbolization Method for the Data Mining K-Means Algorithm by Guisheng Wang

“…Based on this, this article proposes an improved sans algorithm based on the K-means algorithm and discusses the representation method and the data processing of time series symbolization. Experimental results show that this method can effectively reduce the dimensionality of high-dimensional time series. …”
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Digital technologies in the system of teaching students at the university by E. Z. Imaeva, N. A. Sukhareva, Yu. V. Kostikova

“…The following methods were used in the study: testing, questioning, analysis of performance results, mathematical methods of data processing, etc. Methods for diagnosing learning motivation and emotional attitude to learning, studying the levels of formation of students’ cognitive interests (author’s method), a questionnaire for assessing students’ knowledge in the field of research activities were applied as well. …”
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Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection by Yixian Liu, Yupeng Dai

“…Leveraging the advanced contextual encoding capabilities of BERT and the sequential data processing ability of LSTM networks, the proposed model dynamically extracts word and sentence-level features, subsequently generating embedding vectors that effectively identify malicious SQL query patterns. …”
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