Assessing single photon LiDAR for operational implementation of an enhanced forest inventory in diverse mixedwood forests by Joanne C. White, Margaret Penner, Murray Woods

Get full text

Mapping of Flood Impacts Caused by the September 2023 Storm Daniel in Thessaly’s Plain (Greece) with the Use of Remote Sensing Satellite Data by Triantafyllos Falaras, Anna Dosiou, Stamatina Tounta, Michalis Diakakis, Efthymios Lekkas, Issaak Parcharidis

“…However, processing and analyzing satellite imagery covering extensive periods is computationally intensive and time-consuming, especially when data from different sensors need to be integrated, hampering its operational use. …”
Get full text

Effects of mouldboard shape and operational parameters on soil-ridger dynamics: An experimental and discrete element modelling approach by Avdhoot Walunj, Saurabh Shinde, Sachin Nalawade, Pranav Pawase, Zhiwei Zeng

“…The DEM-based soil-ridger interaction model, developed with Hertz-Mindlin contact mechanics and bonding contacts, was validated through angle of repose test. Analysis of the data revealed that mouldboard shape has a significant effect on furrow geometry: concave mouldboard produced wider, deeper furrow, while convex mouldboard resulted in narrower, shallower furrows. …”
Get full text

A Framework for Sustainability Performance Measurement Through Process Mining: Integration of GRI Metrics in Operational Processes by Ourania Areta Hiziroglu, Onur Dogan

“…Organizations face significant challenges in measuring and enhancing sustainability performance across complex operational processes. Current assessment methods frequently lack granularity, real-time capability, and integration with operational data. …”
Get full text

Exploring resilience: The impact of operational efficiency and financial health in South African non-life insurance companies by Omonike Ope Ige-Gbadeyan, Matthys Johannes Swanepoel

“…Regression analysis was used to examine how liquidity, leverage, and company size influence financial health, with company size analyzed as a moderating factor.The results showed that liquidity and leverage positively impact financial health, with larger companies benefiting more from operational efficiency and profitability improvements. …”
Get full text

Electrolytic properties of carbonic acid solutions and innovative methods of operational control of water quality such as condensation at TPP by Vladimir N. Shcherbakov

“…The work objective is to improve the operational conductometric vapor quality control at the thermal power plants. …”
Get full text

Operational Dynamic Load Testing for Repair Recommendations, Case Study of Access Road to Vehicle Weight in Motion by Heri Khoeri, Dini Sofiana, Panji Nugroho, Rauzan Fikri Muthohari

“…The method employed involves dynamic load testing, followed by processing the test data with operational modal analysis (OMA) to obtain dynamic parameters that will serve as a reference for calculating the pavement capacity. …”
Get full text

Comparison of AI and NWP Models in Operational Severe Weather Forecasting: A Study on Tropical Cyclone Predictions by Yang Shi, Rong Hu, Naigeng Wu, Hualong Zhang, Xinhang Liu, Zhilin Zeng, Jing Zhu, Pucheng Han, Cong Luo, Hongyan Zhang, Jie He, Xiaoming Shi

“…Abstract Data‐driven artificial intelligence weather prediction (AIWP) models show great potential in weather forecasts, facilitating paradigm shift of prediction from a deductive to an inductive inference. …”
Get full text

RISK MANAGEMENT COMMITTEE ATTRIBUTES AND PROFITABILITY OF LISTED DEPOSIT MONEY BANKS IN NIGERIA MODERATED BY OPERATIONAL RISK by Ibrahim Aminu, Professor Samuel Eniola Agbi, Dr. Adzor Ibiamke

“…The analysis draws on data from a sample of thirteen listed banks over a fifteen-year period (2009–2023), using firm-level financial indicators. …”
Get full text

RISK MANAGEMENT COMMITTEE ATTRIBUTES AND PROFITABILITY OF LISTED DEPOSIT MONEY BANKS IN NIGERIA MODERATED BY OPERATIONAL RISK by Ibrahim Aminu, Professor Samuel Eniola Agbi, Dr. Adzor Ibiamke

“…The analysis draws on data from a sample of thirteen listed banks over a fifteen-year period (2009–2023), using firm-level financial indicators. …”
Get full text

Expert decision-making in clinicians: An auto-analytic ethnographic study of operational decision-making in urgent care. by Nicola Irvine, Robert Van Der Meer, Itamar Megiddo

Get full text

A Data Engineering Framework for Ethereum Beacon Chain Rewards: From Data Collection to Decentralization Metrics by Tao Yan, Shengnan Li, Benjamin Kraner, Luyao Zhang, Claudio J. Tessone

“…Abstract Ethereum, one of the leading smart contract blockchain platforms, currently operates on a Proof-of-Stake (PoS) consensus mechanism designed to secure the network while incentivizing desired validator behaviors. …”
Get full text

Validating Data Interpolation Empirical Orthogonal Functions Interpolated Soil Moisture Data in the Contiguous United States by Haipeng Zhao, Haoteng Zhao, Chen Zhang

“…To provide more detailed information about the cropland SM data for the Contiguous United States (CONUS), a 1-km SMAP product has been produced using the THySM model in support of USDA NASS operations. …”
Get full text

Development and Operation of a Global‐Scale Seismographic Network: The IRIS/USGS GSN by Peter Davis

“…The network's breadth of coverage enables images of great earthquakes impossible to obtain from regional networks or array data alone. Analysis of the data has provided new insights into non‐traditional seismic sources such as slow earthquakes, glaciers and landslides. …”
Get full text

Preliminary CFD Assessment of an Experimental Test Facility Operating with Heavy Liquid Metals by Matteo Lizzoli, Walter Borreani, Francesco Devia, Guglielmo Lomonaco, Mariano Tarantino

“…The CFD analysis of a Venturi nozzle operating in LBE (key component of the CIRCE facility, owned by ENEA) is presented in this paper. …”
Get full text

Research and application of an evaluation mechanism for enterprise information systems by Xiaoyu He, Nan Chen, Weifeng Tang, Jinxin Yang, Chaochao Xu, Mengdie Wu

“…From an intelligent data-driven perspective, a comprehensive evaluation mechanism was designed based on a multi-dimensional index system covering planning, construction, operation, and effectiveness, using an improved normal cloud model to evaluate the application quality and practical effects of information systems. …”
Get full text

Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State by QU Surong, ZHANG Zhongyang, ZHANG Xianfeng

“…In order to solve the online real-time monitoring problems on railway locomotive driver operation state, face image tracking and human pupil biological image recognition technology was applied, and vehicle intelligent detection device, data transmission system and ground on line analysis system was designed. …”
Get full text

Early warning prediction of external force destruction in transmission lines based on automatic clustering model by Dayan MA

“…The external force destruction has become a major threat to the safe and stable operation of overhead transmission lines,bringing difficulties to the defense and early warning work.In order to solve the problem that the traditional clustering center is difficult to accurately determined and susceptible to abnormal points,an automatic clustering method for data analysis work of transmission lines was presented,and external damage data was analyzed from time and space latitude.Firstly,the cluster center was initialized in this method by using Canopy algorithm.Then,the optimized K-means algorithm was used to perform clustering.Finally,the effectiveness of this method was proved by experimental analysis.This method will be applied to the GIS module in the power information system,which can realize the spatio-temporal visualization of the analysis results and provide powerful decision support for finding cause of the external force damage of the transmission line.…”
Get full text

Quantum distance approximation for persistence diagrams by Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas

“…Topological data analysis (TDA) methods can be useful for classification and clustering tasks in many different fields as they can provide two dimensional persistence diagrams that summarize important information about the shape of potentially complex and high dimensional data sets. …”
Get full text

Low power IoT device communication through hybrid AES-RSA encryption in MRA mode by Qiang Chang, Tianqi Ma, Wenzhong Yang

Get full text