Data-Based Decision-Making in Underground Drilling Operations

2022-03-25
Yıldız, Artun
Erkayaoğlu, Mustafa
27th International Mining Congress and Exhibition (IMCET 2022)

Suggestions

Data-Driven Model Discovery and Control of Lateral-Directional Fighter Aircraft Dynamics
Öznurlu, Can; Uğur, Ömür; Çimen, Tayfun; Department of Scientific Computing (2022-8-26)
The focus of this thesis is to control the lateral-directional motion of the fighter aircraft by using integral action based Model Predictive Control (MPC) where the model is obtained by data-driven model discovery method. Dynamic Mode Decomposition with Control (DMDc) is used as a model discovery technique based only on measurement data with no modeling assumptions. The model created using this technique is used for MPC and tested against noisy conditions. In addition, performance comparison of MPC with Cl...
Data Mining Framework for Power Quality Event Characterization of Iron and Steel Plants
Guder, Mennan; Salor, Ozgul; ÇADIRCI, IŞIK; Ozkan, Baris; Altintas, Erinc (2015-07-01)
In this paper, a power quality (PQ) knowledge discovery and modeling framework has been developed for both temporal and spatial PQ event data collected from transformer substations supplying iron and steel (I&S) plants. PQ event characteristics of various I&S plants have been obtained based on clustering and rule discovery techniques. The data are collected by the PQ analyzers, which detect the voltage sags, swells, and interruptions according to the IEC Standard 61000-4-30. The constructed clustering strat...
Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey
Tamer, Tolga; Gürsel Dino, İpek; Akgül, Çağla (2022-07-01)
This research presents a methodological framework for lifetime energy demand and PV energy generation predictions for a given building considering the CC impacts through multivariate regression models. As a case study, a hypothetical office building in Turkey was selected. An existing linear morphing methodology was utilized to generate future weather files for all 81 cities in Turkey. For each year and city, corresponding weather metrics were calculated, and heating/cooling demand and PV energy generation ...
Data quality assessment in credit risk management by customized total data quality management approach
Güneş, Muhammed İlyas; Çetin, Yasemin; Bilgen, Semih; Department of Information Systems (2016)
As the size and complexity of financial institutions, more specifically banks, grow, the amount of data that information systems (IS) of such institutions need to handle also increases. This leads to the emergence of a variety of data quality (DQ) problems. Due to the possible economic losses due to such DQ issues, banks need to assure quality of their data via data quality assessment (DQA) techniques. As DQ related problems diversify and get complicated, the requirement for contemporary data quality assess...
Information-Theoretic Feature Selection for Human Micro-Doppler Signature Classification
Tekeli, Burkan; Gurbuz, Sevgi Zubeyde; Yüksel Turgut, Ayşe Melda (2016-05-01)
Micro-Doppler signatures can be used not only to recognize different targets, such as vehicles, helicopters, animals, and people, but also to classify varying activities, e.g., walking, running, creeping, and crawling. For this purpose, a plethora of features have been proposed in the literature; however, dozens of features are not required to achieve high classification performance. The topic of feature selection has been under addressed in micro-Doppler studies. Moreover, the optimal feature set is not st...
Citation Formats
A. Yıldız and M. Erkayaoğlu, “Data-Based Decision-Making in Underground Drilling Operations,” presented at the 27th International Mining Congress and Exhibition (IMCET 2022), Antalya, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99315.