Assessment of physical workload in chainsaw operators using the OWAS method by Antonić Slavica, Danilović Milorad

“…The aim of this study was to assess the physical workload of chainsaw operators engaged in tree felling and logging processing in selection forests of beech and fir, using the OWAS method and the Lundqvist index, as well as to provide recommendations for improving these work practices. …”
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Eccentricity Correction of Acoustic Variable Density Logging and Its Application by LIU Dongming, ZHOU Chao, WANG Yadong, ZHANG Chen, LI Bing, CAO Bin, GAO Feng

“…In order to solve the problems of acoustic wave amplitude reduction and inaccurate cementing quality evaluation caused by the eccentricity of acoustic variable density instrument in logging process, the principle of eccentricity influence of acoustic variable density logging is analyzed. …”
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Privacy-Preserving Process Mining: A Blockchain-Based Privacy-Aware Reversible Shared Image Approach by Xianwen Fang, Mengyao Li

“…The scrambling mechanism or random noise injection corrupts event log process information and lowers process mining outcomes. …”
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Application Status and Development Prospect of Coil Tubing Based on Logging Technology by ZHOU Yang, NIU Buneng, WANG Zhuo, ZHANG Zhijiang, DU Xu, JIANG Long, LIU Ping

“…This paper provides an in-depth analysis of the current application status of coiled tubing in logging, systematically sorts out the key factors restricting coil tubing technology development, and combines the current background of large-scale development of unconventional oil and gas to discuss the solution strategies in the main aspects of key technology breakthrough, logging process improvement, application scenario expansion, optical fiber logging system optimization, digital team construction, and optical fiber logging interpretation model construction. …”
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THE USE OF FOREST PRODUCTS IN AGRICULTURE AS A FACTOR IN INCREASING THE SUSTAINABILITY OF REGIONAL DEVELOPMENT by Sergey O. Medvedev, Mikhail A. Zyryanov

“…As a result of the cluster analysis, there were identified the regions of the country with a high potential for obtaining agricultural products from raw materials obtained in the logging process, also there were proposed two key areas for the interaction of the industries under consideration (the use of products in agriculture). …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…However, the formation density and the detector counting rate during well logging process exhibit a nonlinear relationship. A system structure integrating Convolutional neural network (CNN) and Transformer is suggested to accomplish the goal of automatic formation density prediction and solve the problem of insufficient model feature extraction ability under multiple logging data conditions. …”
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Design and Implementation of a PLC-Based SCADA System for Real-Time Monitoring and Control of Photovoltaic Energy Conversion by Ahmed Al-Naib, Majeed Mohammed

“…The PLC, programmed via TIA Portal V17, serves as the central processing unit, acquiring analog signals from PV modules and facilitating data logging, processing, and visualization. Field testing was conducted in Kirkuk City over a 10-hour operational window to monitor key PV parameters, including terminal voltage, load current, output power, temperature, and solar irradiance. …”
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Research on correction method of borehole response in slim hole array lateral logging based on PSO-BP hybrid model prediction by Zhiqiang Li, Shaojie Xing, Junyan Lin, Fangong Li, Jianye Wang, Xiaohui Song, Wei Zhang

“…However, in the actual logging process, due to the fact that instruments are often affected by multiple environmental factors, the formation resistivity change curve is shifted, making it difficult to reflect the real formation resistivity information. …”
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Analisis Kesiapan Penerapan Process Mining pada Sistem Manajemen Pembelajaran Universitas Telkom by Angelina Prima Kurniati, Gede Agung Ary Wisudiawan

“…One promising method is process mining, which is a process-based data analytics working on event logs. Process mining aims to discover process models as recorded in the LMS, conformance checking of process execution to the defined procedure, and suggest improvements. …”
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