Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data by Mingliang SU

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Time series data based AI operation and maintenance system of cloud network collaboration platform by Ruiying CHENG, Pan ZHANG, Yu XIAO, Yujie QIAO, Anyi ZHANG

“…“Cloud-network collaboration” and “micro-service” are important trends in the evolution of enterprise cloud platforms.As the importance of enterprise information construction continues to rise, the operation and maintenance of the microservice-oriented cloud-network collaboration platform faces great challenges.The challenges faced by the operation and maintenance were analyzed, the requirements for artificial intelligence operation and maintenance of the platform were sorted out, a technical system for artificial intelligence operation and maintenance of the platform based on time-series data analysis was proposed, and an artificial intelligence operation and maintenance subsystem for the cloud network collaborative platform was designed.The proposed technical system and system design are practical and generalizable, and can be used as a reference for the technical approach of enterprise cloud platform construction and optimization.…”
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Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data by Ahmad Azadivash

“…After rigorous exploratory analysis and preprocessing of the data, seven machine learning methods are applied: Random Forest, Extra Trees, Decision Tree, XGBoost, k-Nearest Neighbors, Support Vector Machine, and Hard Voting. …”
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ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners by Mengran Zhou, Qiqi Zhang, Feng Hu, Ling Wang, Guangyao Zhou, Weile Kong, Changzhen Wu, Enhan Cui

“…Firstly, the data set for the study of air conditioning operation characteristics is obtained through experiments. …”
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Fatigue Stress Estimation of an Offshore Jacket Structure Based on Operational Modal Analysis by Bruna Nabuco, Marius Tarpø, Ulf T. Tygesen, Rune Brincker

“…This paper proposes the implementation of Structural Health Monitoring Systems in order to extract modal properties—such as mode shapes, natural frequencies, and damping ratios—throughout Operational Modal Analysis (OMA), which is the engineering field that studies the modal properties of systems under ambient vibrations or normal operating conditions. …”
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OPERATIONAL PERFORMANCE ANALYSIS OF PUBLIC BUS TRANSPORT SERVICES IN ADDIS ABABA, ETHIOPIA by Mulugeta GIRMA

“…The collected data is analyzed using the ratio analysis approach. …”
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DATA-DRIVEN DECISION MODELING AND SUSTAINABLE COMPETITIVENESS IN THAI SMES IN WELLNESS AND BEAUTY SECTOR: AN OPERATIONAL RESEARCH FRAMEWORK by Jaruwan Lim, Sumaman Pankham

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The Impact of Cloud Versus Local Infrastructure on Automatic IoT-Driven Hydroponic Systems by Cosmina-Mihaela Rosca, Adrian Stancu, Marian Popescu

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Uncertainty-Based Fusion Method for Structural Modal Parameter Identification by Xiaoteng Liu, Zirui Dong, Hongxia Ji, Zhenjiang Yue, Jie Kang

Subjects: “…operational modal analysis…”
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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 7. Internal Logic 1 by O. M. Polyakov

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Design of an Efficient Deep Learning-Based Diagnostic Model for Wind Turbine Gearboxes Using SCADA Data by Xuan-Kien Mai, Jun-Yeop Lee, Jae-In Lee, Byeong-Soo Go, Seok-Ju Lee, Minh-Chau Dinh

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Integration of Airborne Laser Scanning data into forest ecosystem management in Canada: Current status and future directions by Tristan R.H. Goodbody, Nicholas C. Coops, Liam A.K. Irwin, Claire C. Armour, Sari C. Saunders, Pamela Dykstra, Christopher Butson, Genevieve C. Perkins

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Intelligent fault diagnosis and operation condition monitoring of transformer based on multi-source data fusion and mining by Jingping Cui, Wei Kuang, Kai Geng, Pihua Jiao

“…In order to achieve the prognostics and health management of the transformer, a novel intelligent fault diagnosis of the transformer based on multi-source data fusion and correlation analysis is proposed. …”
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ANALYSIS OF THE EFFICIENCY AND EFFECTIVENESS OF THE MUNICIPALITY-OWNED PUBLIC BUS TRANSPORT SERVICE ENTERPRISE IN ADDIS ABABA, ETHIOPIA by Mulugeta GIRMA

“…To make decisions and exercise managerial control over the degree of input utilization, and produce desired outputs, it is important to assess the efficiency and effectiveness of the municipality-owned public transit service operators. This study uses the Data Envelopment Analysis approach to assess the efficiency and effectiveness of the public transit companies operated by the city administration in Addis Ababa. …”
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A Model of An Integration System for Operations and Cost Data Designed to Control Logistics Processes in Agricultural Enterprises by Karol Wajszczuk, Jacek Wawrzynowicz, Bogusław Śliwczyński

“…The paper presents a model of an integration system for operations and cost data designed for the needs of process controlling in agricultural enterprises, with special emphasis on logistics processes. …”
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Intelligent Operation and Maintenance of Wind Turbines Gearboxes via Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun, Binkai Wang

“…Furthermore, an algorithm model for multi-source operational data analysis of wind turbines is designed, leveraging a Whale Optimization Algorithm-optimized Temporal Convolutional Network with an Attention mechanism (WOA-TCN-Attention). …”
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Future Outlook of Highway Operations with Implementation of Innovative Technologies Like AV, CV, IoT and Big Data by Muhammad Azmat, Sebastian Kummer, Lara Trigueiro Moura, Federico Di Gennaro, Rene Moser

“…The data was further tested for its empirical significance with non-parametric binomial and Wilcoxon signed rank tests, supported by a descriptive analysis. …”
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Understanding the constraints to the correct application of tilt derivative operation to a vertical prism in gravity data processing by Oluwatimilehin B. Balogun, Obafemi E. Bilesanmi, Mohamed Metwaly, Oluwatosin F. Akerele, Odunayo T. Ojo, Oluwaseyi A. Dasho

“…Analytical simulation of a buried 3D vertical square prism with known density contrast, depth to the top of the buried body, thickness and cross-section area has been done, and tilt angle derivative enhancement operation has been applied to the data in order to establish the constraints that could impede the correct application of tilt derivative operation on gravity data. …”
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Data-driven prediction of rate of penetration (ROP) in drilling operations using advanced machine learning models by Guoli Huang, Sarah Kanaan Hamzah, Pinank Patel, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Deepak Gupta, S. AbdulAmeer, Mariem Alwan, Zahraa Saad Abdulali, Mahmood Jasem Jawad, Hiba Mushtaq, Mohammad Mahtab Alam, Hojjat Abbasi

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Conversion to Variable Flow Rate—Advanced Control of a District Heating (DH) System with a Focus on Operational Data by Stanislav Chicherin

“…The novelty of this work lies in its integrated analysis of flow control and substation configurations in DH networks, linking real-world operational strategies with mathematical modeling to improve energy efficiency and infrastructure costs. …”
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