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Journal articles on the topic 'Logs extraction'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Copstein, Rafael, Egil Karlsen, Jeff Schwartzentruber, Nur Zincir-Heywood, and Malcolm Heywood. "Exploring syntactical features for anomaly detection in application logs." it - Information Technology 64, no. 1-2 (2022): 15–27. http://dx.doi.org/10.1515/itit-2021-0064.

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Abstract In this research, we analyze the effect of lightweight syntactical feature extraction techniques from the field of information retrieval for log abstraction in information security. To this end, we evaluate three feature extraction techniques and three clustering algorithms on four different security datasets for anomaly detection. Results demonstrate that these techniques have a role to play for log abstraction in the form of extracting syntactic features which improves the identification of anomalous minority classes, specifically in homogeneous security datasets.

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Psallidas, Fotis, Ashvin Agrawal, Chandru Sugunan, et al. "OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Query Event Logs." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3662–75. http://dx.doi.org/10.14778/3611540.3611555.

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Provenance encodes information that connects datasets, their generation workflows, and associated metadata (e.g., who or when executed a query). As such, it is instrumental for a wide range of critical governance applications (e.g., observability and auditing). Unfortunately, in the context of database systems, extracting coarse-grained provenance is a long-standing problem due to the complexity and sheer volume of database workflows. Provenance extraction from query event logs has been recently proposed as favorable because, in principle, can result in meaningful provenance graphs for provena

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Wang, Xiaodong, Yining Zhao, Haili Xiao, Xiaoning Wang, and Xuebin Chi. "LTmatch: A Method to Abstract Pattern from Unstructured Log." Applied Sciences 11, no. 11 (2021): 5302. http://dx.doi.org/10.3390/app11115302.

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Logs record valuable data from different software and systems. Execution logs are widely available and are helpful in monitoring, examination, and system understanding of complex applications. However, log files usually contain too many lines of data for a human to deal with, therefore it is important to develop methods to process logs by computers. Logs are usually unstructured, which is not conducive to automatic analysis. How to categorize logs and turn into structured data automatically is of great practical significance. In this paper, LTmatch algorithm is proposed, which implements a log

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Zhang, Junqiang, Yi Zhang, Yiping Tian, Gang Liu, Lirui Xu, and Yong Hu. "A Rapid Method for Information Extraction from Borehole Log Images." Applied Sciences 10, no. 16 (2020): 5520. http://dx.doi.org/10.3390/app10165520.

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Borehole logs are very important for geological analysis and application. Extracting structured information from borehole logs in the image format is the key to any analysis and application based on borehole data. The current method has defects in solving the beard phenomenon of the borehole log and the identification of special geological symbols. This paper proposes an automatic extraction method for borehole log information by combining the structural analysis based on the corner mark, as well as the structural understanding based on deep learning. The principles and key technologies of the

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Luo, Zijin, Matthew Guzdial, Nicholas Liao, and Mark Riedl. "Player Experience Extraction from Gameplay Video." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 14, no. 1 (2018): 52–58. http://dx.doi.org/10.1609/aiide.v14i1.13024.

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The ability to extract the sequence of game events for a given player's play-through has traditionally required access to the game's engine or source code. This serves as a barrier to researchers, developers, and hobbyists who might otherwise benefit from these game logs. In this paper we present two approaches to derive game logs from game video via convolutional neural networks and transfer learning. We evaluate the approaches in a Super Mario Bros. clone, Mega Man and Skyrim. Our results demonstrate our approach outperforms random forest and other transfer baselines.

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Ma, Junchen, Yang Liu, Hongjie Wan, and Guozi Sun. "Automatic Parsing and Utilization of System Log Features in Log Analysis: A Survey." Applied Sciences 13, no. 8 (2023): 4930. http://dx.doi.org/10.3390/app13084930.

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System logs are almost the only data that records system operation information, so they play an important role in anomaly analysis, intrusion detection, and situational awareness. However, it is still a challenge to obtain effective data from massive system logs. On the one hand, system logs are unstructured data, and, on the other hand, system log records cannot be directly analyzed and calculated by computers. In order to deal with these problems, current researchers digitize system logs through two key steps of log parsing and feature extraction. This paper classifies, analyzes, and summari

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Endom, Wesman, and Satria Astana. "PERFORMANCES OF TWO PROTOTYPES OF LOG EXTRACTION TECHNIQUES USING THE SKYLINE SYSTEM." JOURNAL OF FORESTRY RESEARCH 4, no. 1 (2017): 1–14. https://doi.org/10.20886/ijfr.2017.4.1.1-14.

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Timber extraction from felling area to road side is not an easy job. This activity facing a number of  difficulties particularly due to geo-biophysical conditions, such as steep terrain, up and/or down-hill, valley or river-to be crossed, slippery road and also the size of the timber and low accessibility. To anticipate those obstacles two engineering designs of the skyline system had been tried, the so called Expo-2000 Generation-1, using gasoline engine of  6 HP (G-1), and Expo-2000 Generation-3 using diesel engine of  12 HP (G-3). G-1 model has been tested in Cimeong and Ranc

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Jachak, Anjali, and Anuj Sharma. "Extraction and Analysis of User Profile from Event Logs." International Journal of Computer Applications 118, no. 24 (2015): 15–18. http://dx.doi.org/10.5120/20955-2855.

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9

Ihaddadene, Nacim. "Extraction of business process models from workflow events logs." International Journal of Parallel, Emergent and Distributed Systems 23, no. 3 (2008): 247–58. http://dx.doi.org/10.1080/17445760701536183.

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10

Sondhi, Parikshit, and Raman Chandrasekar. "Domain-specific entity and relationship extraction from query logs." Proceedings of the American Society for Information Science and Technology 47, no. 1 (2010): 1–2. http://dx.doi.org/10.1002/meet.14504701458.

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11

Chen, Shuang, Minghao Zou, Rui Cao, Ziqi Zhao, and Qingtian Zeng. "Video Process Mining and Model Matching for Intelligent Development: Conformance Checking." Sensors 23, no. 8 (2023): 3812. http://dx.doi.org/10.3390/s23083812.

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Traditional business process-extraction models mainly rely on structured data such as logs, which are difficult to apply to unstructured data such as images and videos, making it impossible to perform process extractions in many data scenarios. Moreover, the generated process model lacks analysis consistency of the process model, resulting in a single understanding of the process model. To solve these two problems, a method of extracting process models from videos and analyzing the consistency of process models is proposed. Video data are widely used to capture the actual performance of busine

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Endom, Wesman, and Satria Astana. "PERFORMANCES OF TWO PROTOTYPES OF LOG EXTRACTION TECHNIQUES USING THE SKYLINE SYSTEM." Indonesian Journal of Forestry Research 4, no. 1 (2017): 1–14. https://doi.org/10.59465/ijfr.2017.4.1.1-14.

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Timber extraction from felling area to road side is not an easy job. This activity facing a number of difficulties particularly due to geo-biophysical conditions, such as steep terrain, up and/or down-hill, valley or river-to be crossed, slippery road and also the size of the timber and low accessibility. To anticipate those obstacles two engineering designs of the skyline system had been tried, the so called Expo-2000 Generation-1, using gasoline engine of 6 HP (G-1), and Expo-2000 Generation-3 using dieselengine of 12 HP (G-3). G-1 model has been tested in Cimeong and Rancaparang in 2011. G-

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Pajić Simović, Ana, Slađan Babarogić, Ognjen Pantelić, and Stefan Krstović. "Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems." Applied Sciences 11, no. 12 (2021): 5476. http://dx.doi.org/10.3390/app11125476.

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Enterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP systems, such event logs are not available as the concept of business activity is missing. Extracting event data from an ERP database is not a trivial task and requires in-depth knowledge of the business processes and underlying data structure. Therefore, domain experts require proper techniques and too

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Budiaman, Ahmad, Hardjanto, and Zest Lively Limbong. "Time Consumption and Productivity of Motorbike Timber Extraction in Private Forests." Jurnal Sylva Lestari 12, no. 1 (2024): 132–42. http://dx.doi.org/10.23960/jsl.v12i1.815.

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Timber extraction in private forests in Indonesia is carried out using appropriate technology. Motorbike extraction is one of the means of timber extraction widely used in private forests in Indonesia. This research aimed to analyze the working time and productivity of timber extraction using motorbikes in private forests. The research was conducted in a private forest in Probolinggo, East Java. The terrain conditions at the study site were partly flat and partly rather steep. The study site can only be accessed through a footpath that is 2 m wide. Observations were made on three motorbikes. T

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Park, Kinam, Hyesung Jee, Taemin Lee, Soonyoung Jung, and Heuiseok Lim. "Automatic extraction of user’s search intention from web search logs." Multimedia Tools and Applications 61, no. 1 (2011): 145–62. http://dx.doi.org/10.1007/s11042-010-0723-8.

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Pavlychev, Aleksey, Maksim Starodubov, and Alexander Galimov. "USING THE RANDOM FOREST MACHINE LEARNING ALGORITHM FOR THE ExTRACTION OF COMPLEx COMPUTER INCIDENTS." Voprosy kiberbezopasnosti, no. 5(51) (2022): 74–81. http://dx.doi.org/10.21681/2311-3456-2022-5-74-81.

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The aim of the work is to develop a way to identify complex computer incidents carried out by attackers by exploiting vulnerabilities of information systems. The research method is the analysis of entries in the system logs of the Microsoft Windows operating system using the Random Forest machine learning algorithm. The result obtained: despite the wide variety of different types of malicious software used by attackers in conducting computer attacks, they all leave traces of their functioning to the network infrastructure that has been exposed to unauthorized effects. One of the ways to identi

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Zu, Dawei, Feng Zhang, Qiulan Wu, Cuihong Lu, Weiqiang Wang, and Xuefei Chen. "Sundry Bacteria Contamination Identification of Lentinula Edodes Logs Based on Deep Learning Model." Agronomy 12, no. 9 (2022): 2121. http://dx.doi.org/10.3390/agronomy12092121.

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Lentinula edodes logs are susceptible to sundry bacteria contamination during the culture process, and the manual identification of contaminated logs is difficult, untimely, and inaccurate. Aiming to solve this problem, this paper proposes a method for the identification of contaminated Lentinula edodes logs based on the deep learning model Ghost–YOLOv4. Firstly, a data set of Lentinula edodes log sundry bacteria contamination was constructed. Secondly, in view of the problems that the YOLOv4 network parameters are too large and that the detection speeds of Lentinula edodes log videos are slow

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Harika, B., and T. Sudha. "Extraction of Knowledge from Web Server Logs Using Web Usage Mining." Asian Journal of Computer Science and Technology 8, S3 (2019): 12–15. http://dx.doi.org/10.51983/ajcst-2019.8.s3.2113.

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Information on internet increases rapidly from day to day and the usage of the web also increases, thus there is the need to discover interesting patterns from web. The process used to extract and mine useful information from web documents by using Data Mining Techniques is called Web Mining. Web Mining is broadly classified in to three types namely Web Content Mining, Web Structure Mining and Web Usage Mining. In this paper our focus is mainly on Web Usage Mining, where we are applying the data mining techniques to analyse and discover interesting knowledge from the Web Usage data. The activi

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19

Makanju, Adetokunbo, A. Nur Zincir-Heywood, and Evangelos E. Milios. "A Lightweight Algorithm for Message Type Extraction in System Application Logs." IEEE Transactions on Knowledge and Data Engineering 24, no. 11 (2012): 1921–36. http://dx.doi.org/10.1109/tkde.2011.138.

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Song, Qiang, Yousuke Watanabe, and Haruo Yokota. "Extraction of relationship between web pages and files in access logs." International Journal of Business Intelligence and Data Mining 7, no. 3 (2012): 152. http://dx.doi.org/10.1504/ijbidm.2012.049552.

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21

Saputra, Hasta, Tris Zeno Alkindi, Hery Priyanto, Agus Dwisetiyono, and Panji Zulfikar sidik. "PEMERIKSAAN MOBILE FORENSIK TERHADAP HANDPHONE SECARA PHYSICAL EXTRACTION DENGAN PERBEDAAN JENIS SOFTWARE." Journal of Forensic Expert 1, no. 3 (2021): 56–65. http://dx.doi.org/10.54579/jfe.v1i3.12.

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One of the electronic evidence found at the crime scene or related to cases, both criminal and civil, is cellphone evidence. To prove the presence or absence of the perpetrator's involvement with the use of mobile forensic examination techniques by physical extraction through analysis of digital traces in the form of call logs, SMS, phonebooks and other files where the data has been deleted. Several factors affect the physical extraction method, namely the software used. Mobile forensic examination software used to examine electronic evidence such as cellphones in forensic laboratories is Ufed

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22

Markakis, Markos, Brit Youngmann, Trinity Gao, et al. "From Logs to Causal Inference: Diagnosing Large Systems." Proceedings of the VLDB Endowment 18, no. 2 (2024): 158–72. https://doi.org/10.14778/3705829.3705836.

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Causal inference can quantify cause-effect relationships in domains as varied as medicine, economics and public policy. Production computer systems exhibit a similar level of complexity and a recurring need to diagnose problems quickly. However, systems are only observed imperfectly, often via long, messy, semi-structured logs. In this work, we want to accelerate large systems debugging by applying causal inference over logs, enabling engineers to diagnose problems and assess interventions in a principled manner. Our framework achieves this through two human-in-the-loop modules: (1) The Candid

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Pajić, Ana, and Dragana Bečejski-Vujaklija. "Metamodel of the Artifact-Centric Approach to Event Log Extraction from ERP Systems." International Journal of Decision Support System Technology 8, no. 2 (2016): 18–28. http://dx.doi.org/10.4018/ijdsst.2016040102.

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Enterprise Resource Planning (ERP) systems handle a huge amount of data related to the actual execution of business processes and the goal is to discover from transaction log a model of how the business processes are actually carried out. The authors' work captures the knowledge of existing approaches and tools in converting the data from transaction logs to event logs for process mining techniques. They conduct a detailed analysis of the artifact-centric approach concepts and describe its constructs by the ontological metamodel. The underlying logical and semantically rich structure of the ap

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Bernardi, Mario Luca, Marta Cimitile, and Francesco Mercaldo. "Cross-Organisational Process Mining in Cloud Environments." Journal of Information & Knowledge Management 17, no. 02 (2018): 1850014. http://dx.doi.org/10.1142/s0219649218500144.

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Cloud computing market is continually growing in the last years and becoming a new opportunity for business for private and public organisations. The diffusion of multi-tenants distributed systems accessible by clouds leads to the birth of some cross-organisational environments, increasing the organisation efficiency, promoting the business dynamism and reducing the costs. In spite of these advantages, this new business model drives the interest of researchers and practitioners through new critical issues. First of all, the multi-tenant distributed systems need new techniques to improve the tr

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Olajiire-Ajayi, B. L., D. A. Adenuga, B. T. Olatunji, O. O. Abegunrin, A. S. Adebayo, and J. O. Adedipe. "Assessment of Timber Resource Exploitation in Shasha Forest Reserve, Osun State, Nigeria: Implication for Sustainable Forestry." Journal of Applied Sciences and Environmental Management 25, no. 8 (2021): 1355–59. http://dx.doi.org/10.4314/jasem.v25i8.3.

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Records on rate of timber exploitation are very essential for sustainable forestry. They help in managing the forest sustainably. Therefore, the study collected and analysed data on rate of timber exploitation in Shasha forest reserve in Osun state. Logs arranged and set to be taken out of the forest were identified and measured every Monday between December, 2017 and June, 2018 for twenty-eight (28) weeks. The species and families of logs encountered were identified. A total of 13,944 logs were assessed. Fifteen (15) families belonging to twenty-one (21) species of logs were identified. Resul

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Zhang, Hao, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, and Yiqin Gao. "Anomaly detection in virtual machine logs against irrelevant attribute interference." PLOS ONE 20, no. 1 (2025): e0315897. https://doi.org/10.1371/journal.pone.0315897.

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Virtual machine logs are generated in large quantities. Virtual machine logs may contain some abnormal logs that indicate security risks or system failures of the virtual machine platform. Therefore, using unsupervised anomaly detection methods to identify abnormal logs is a meaningful task. However, collecting accurate anomaly logs in the real world is often challenging, and there is inherent noise in the log information. Parsing logs and anomaly alerts can be time-consuming, making it important to improve their effectiveness and accuracy. To address these challenges, this paper proposes a me

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Kumar, Rakesh, Kanwal Garg, and Vinod Kumar. "Extraction of Frequent Patterns from Web Logs using Web Log Mining Techniques." International Journal of Computer Applications 59, no. 10 (2012): 19–25. http://dx.doi.org/10.5120/9584-4063.

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Du, Weiwei, Yarui Xi, Kiichi Harada, Yumei Zhang, Keiko Nagashima, and Zhiwei Qiao. "Improved Hough Transform and Total Variation Algorithms for Features Extraction of Wood." Forests 12, no. 4 (2021): 466. http://dx.doi.org/10.3390/f12040466.

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Research shows that the intensity impact factors of wood, such as late timber ratio, volume density and the intensity of itself, correlate with the width of wood annual rings. Therefore, extracting wood annual ring information from wood images is helpful for evaluating wood quality. During the past few years, many researchers have conducted defect detection by studying the information of wood images. However, there are few in-depth studies on the statistics and calculation of wood annual ring information. This study proposes a new model combining the Total Variation (TV) algorithm and the impr

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Nakul Sharma, Sumit Minhas, Karanjit Singh, Vipin, Suman Hait, and Lakshyaraj Singh Rathore. "EvidenceX: A Comprehensive Digital Forensics Tool for Evidence Extraction." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 3828–36. https://doi.org/10.32628/cseit25112859.

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Background: Digital forensics operates as a core investigative element in present times since analysts need to examine metadata and prove file authenticity while locating hidden information. High-end file systems such as XFS and Btrfs include sophisticated features for journaling and copy-on-write that complicate the tasks of data forensic recovery as well as examination processes. Modern forensic tools focus on retrieving information but they demonstrate limited capability in producing extensive metadata analysis together with timeline reports. Investigative teams gain better results from che

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Ulasik, Malgorzata Anna, and Aleksandra Miletić. "Automated Extraction and Analysis of Sentences under Production: A Theoretical Framework and Its Evaluation." Languages 9, no. 3 (2024): 71. http://dx.doi.org/10.3390/languages9030071.

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Sentences are generally understood to be essential communicative units in writing that are built to express thoughts and meanings. Studying sentence production provides a valuable opportunity to shed new light on the writing process itself and on the underlying cognitive processes. Nevertheless, research on the production of sentences in writing remains scarce. We propose a theoretical framework and an open-source implementation that aim to facilitate the study of sentence production based on keystroke logs. We centre our approach around the notion of sentence history: all the versions of a gi

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Randall, C. J., D. J. Scheibner, and P. T. Wu. "Multipole borehole acoustic waveforms: Synthetic logs with beds and borehole washouts." GEOPHYSICS 56, no. 11 (1991): 1757–69. http://dx.doi.org/10.1190/1.1442988.

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We give a two‐dimensional (2-D) velocity‐stress finite‐difference (vs-fd) formulation for the multipole borehole acoustic logging problem. Irregular boreholes, horizontal bedding, and axially varying alteration are encompassed by the model. Excellent agreement is obtained with transform techniques for constant radius boreholes and homogeneous formations. The method is used to generate waveforms for many positions of transmitter and receiver array relative to beds and washouts as in logging. First motion and semblance techniques are applied to the waveforms to extract formation slownesses, resu

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Hernandez-Resendiz, Jaciel David, Edgar Tello-Leal, Ulises Manuel Ramirez-Alcocer, and Bárbara A. Macías-Hernández. "Semi-Automated Approach for Building Event Logs for Process Mining from Relational Database." Applied Sciences 12, no. 21 (2022): 10832. http://dx.doi.org/10.3390/app122110832.

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Process mining is a novel alternative that uses event logs to discover, monitor, and improve real business processes through knowledge extraction. Event logs are a prerequisite for any process mining technique. The extraction of event data and event log building is a complex and time-intensive process, with human participation at several stages of the procedure. In this paper, we propose a framework to semi-automatically build an event log based on the XES standard from relational databases. The framework comprises the stages of requirements identification, event log construction, and event lo

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Siswandi, Erlan, Azwaruddin Azwaruddin, and Hendra R. Akhdiyat. "POTENSI PEMANFAATAN SEKAM PADI SEBAGAI ADSORBEN LOGAM BERAT MERKURI (Hg) MENGGUNAKAN METODE EKSTRAKSI PADA LIMBAH TAILING GELONDONGAN DI KECAMATAN SEKOTONG KABUPATEN LOMBOK BARAT." Akrab Juara : Jurnal Ilmu-ilmu Sosial 7, no. 1 (2022): 268. http://dx.doi.org/10.58487/akrabjuara.v7i1.1773.

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Traditional gold processing in Sekotong District causes waste containing mercury (Hg) or tailings to be dumped in any place. Pollution of metallic Hg to the environment is unavoidable, because of the mobilization of Hg in the tailings waste which is influenced by water media, especially when it rains. The purpose of this study was to determine the concentration of dissolved Hg in the extraction process of logs tailings waste, the potential for pollution to the environment, to determine the proportion and potential of rice husks as an adsorbent of metal Hg in logs tailings waste extract. Preven

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Ghule, Sayalee. "Log File Data Extraction or Mining." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 4802–6. http://dx.doi.org/10.22214/ijraset.2021.35833.

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Log records contain data generally Client Title, IP Address, Time Stamp, Get to Ask, number of Bytes Exchanged, Result Status, URL that Intimated, and Client Chairman. The log records are kept up by the internet servers. By analysing these log records gives a flawless thought to the client. The wide Web may be a solid store of web pages that gives the Net clients piles of information. With the change in the number and complexity of Websites, the degree of the net has gotten to be massively wide. Web Utilization Mining may be a division of web mining that consolidates the application of mining

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Yu, Chunjiang, Yongke Sun, Yong Cao, Lei Liu, and Xiaotao Zhou. "Log Volume Measurement and Counting Based on Improved Cascade Mask R-CNN and Deep SORT." Forests 15, no. 11 (2024): 1884. http://dx.doi.org/10.3390/f15111884.

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Logs require multiple verifications to ensure accurate volume and quantity measurements. Log end detection is a crucial step in measuring log volume and counting logs. Currently, this task primarily relies on the Mask R-CNN instance segmentation model. However, the Feature Pyramid Network (FPN) in Mask R-CNN may compromise accuracy due to feature redundancy during multi-scale fusion, particularly with small objects. Moreover, counting logs in a single image is challenging due to their large size and stacking. To address the above issues, we propose an improved log segmentation model based on C

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Loginov, I. V. "APPROACH TO EXTRACTION OF DATA ON CHANGES OF FUNCTIONAL PROCESSES STRUCTURES FROM EVENT LOGS." Education and Science without Limits: Fundamental and Applied Researches, no. 16 (2022): 117–21. http://dx.doi.org/10.36683/2500-249x/2022-16/117-121.

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RASCÓN-SOLANO, Joel, Oscar A. AGUIRRE-CALDERÓN, Juan A. NÁJERA-LUNA, Eduardo ALANÍS-RODRÍGUEZ, Javier JIMÉNEZ-PÉREZ, and Eduardo J. TREVIÑO-GARZA. "Efficient utilization of pine logs in northern Mexico through training." Notulae Botanicae Horti Agrobotanici Cluj-Napoca 51, no. 2 (2023): 13175. http://dx.doi.org/10.15835/nbha51213175.

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The timber industry and other sectors that rely on forest management, would benefit from a deeper understanding of the extraction work carried out by properly trained workers. The objective of this research was to evaluate the effect of training operational personnel on the efficient utilization of harvested pine logs in the southern region of the state of Chihuahua, in northern Mexico. Two samplings of the logging present in the cutting area of the ejido Basihuare (communal land) were carried out, taking into consideration the diameter with and without bark, visual quality, length, and use fo

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Vidal, Jeanne, Régis Hehn, Carole Glaas, and Albert Genter. "How Can Temperature Logs Help Identify Permeable Fractures and Define a Conceptual Model of Fluid Circulation? An Example from Deep Geothermal Wells in the Upper Rhine Graben." Geofluids 2019 (July 10, 2019): 1–14. http://dx.doi.org/10.1155/2019/3978364.

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Identifying fluid circulation in fracture zones (FZs) is a key challenge in the extraction of deep geothermal heat from natural reservoirs in the Upper Rhine Graben. This study focuses on permeable FZs present within the granitic basement penetrated by deep geothermal well GPK-1 at Soultz and GRT-1 and GRT-2 at Rittershoffen (France). The various temperature (T) log datasets acquired from these wells during production and at equilibrium, with the associated flow logs, allow for the unique opportunity to interpret fluid circulation at the borehole scale. All permeable FZs identified by permeabi

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Vidal, Jeanne, Régis Hehn, Carole Glaas, and Albert Genter. "How Can Temperature Logs Help Identify Permeable Fractures and Define a Conceptual Model of Fluid Circulation? An Example from Deep Geothermal Wells in the Upper Rhine Graben." Geofluids 2019, Special issue: Geofluids and Energy for the XXI Century (2019): 14. https://doi.org/10.1155/2019/3978364.

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Identifying fluid circulation in fracture zones (FZs) is a key challenge in the extraction of deep geothermal heat from natural reservoirs in the Upper Rhine Graben. This study focuses on permeable FZs present within the granitic basement penetrated by deep geothermal well GPK-1 at Soultz and GRT-1 and GRT-2 at Rittershoffen (France). The various temperature (T) log datasets acquired from these wells during production and at equilibrium, with the associated flow logs, allow for the unique opportunity to interpret fluid circulation at the borehole scale. All permeable FZs identified by permeabi

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Li, Hui, Jinhao Liu, and Dian Wang. "A Fast Instance Segmentation Technique for Log End Faces Based on Metric Learning." Forests 14, no. 4 (2023): 795. http://dx.doi.org/10.3390/f14040795.

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The diameter of the logs on a vehicle is a critical part of the logistics and transportation of logs. However, the manual size-checking method is inefficient and affects the efficiency of log transportation. The example segmentation methods can generate masks for each log end face, which helps automate the check gauge of logs and improve efficiency. The example segmentation model uses rectangle detection to identify each end face and then traverses the rectangular boxes for mask extraction. The traversal of rectangular boxes increases the time consumption of the model and lacks separate handli

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Borz, Stelian Alexandru, and Victor-Bogdan Mititelu. "Productivity and Fuel Consumption in Skidding Roundwood on Flat Terrains by a Zetor Farm Tractor in Group Shelterwood Cutting of Mixed Oak Forests." Forests 13, no. 8 (2022): 1294. http://dx.doi.org/10.3390/f13081294.

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Productivity assessment studies are essential in forest operations, mainly because their results enable operational planning and rate setting, the development of equitable payment systems, the assessment of environmental performance, the assessment of improvements brought by technology development, and the optimization of larger forest-based systems. This study examines productive performance and fuel consumption in farm-tractor based skidding operations implemented in flat terrain oak harvesting by developing detailed statistics and predictive models on skidding performance. Two felling areas

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Lowe, Andrew J., K. N. Wong, Y. S. Tiong, S. Iyerh, and F. T. Chew. "A DNA Method to Verify the Integrity of Timber Supply Chains; Confirming the Legal Sourcing of Merbau Timber From Logging Concession to Sawmill." Silvae Genetica 59, no. 1-6 (2010): 263–68. http://dx.doi.org/10.1515/sg-2010-0037.

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Abstract Several methods are employed by the timber industry to try to restrict the flow of products from illegal or unsustainable sources into timber supply chains. The most commonly applied are systems of log marking and associated documentation that accompany the logs. However this system is open to falsification, particularly between the logging concession and the timber mill, where the majority of illegally logged timber enters the supply chain. This paper describes the development of a methodology to track a unique genetic fingerprint for single logs of merbau, Intsia palembanica (Legumi

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Salazar, Jesús M., Ron J. M. Bonnie, William W. Clopine, and G. Eric Michael. "A practical petrophysical model for a source rock play: The Mancos Shale." Interpretation 5, no. 3 (2017): T423—T435. http://dx.doi.org/10.1190/int-2017-0014.1.

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Recently, the focus in source rock exploration has moved from gas-rich to liquid-rich plays and warrants revisiting “bypassed” hydrocarbon charged source rocks, which were deemed uneconomic when first drilled. In North America’s oil fields, there are thousands of wells with different vintages of nuclear and electrical logs, yet these wells generally lack any advanced logs beyond the traditional triple combo. We have developed a workflow that uses a considerable amount of laboratory measurements made on crushed rock to upscale a petrophysical model based on a triple combo logging suite only. Th

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Reynolds, M. Megan, and Claire G. Williams. "Extracting DNA from submerged pine wood." Genome 47, no. 5 (2004): 994–97. http://dx.doi.org/10.1139/g04-045.

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A DNA extraction protocol for submerged pine logs was developed with the following properties: (i) high molecular weight DNA, (ii) PCR amplification of chloroplast and nuclear sequences, and (iii) high sequence homology to voucher pine specimens. The DNA extraction protocol was modified from a cetyltrimehtylammonium bromide (CTAB) protocol by adding stringent electrophoretic purification, proteinase K, RNAse, polyvinyl pyrrolidone (PVP), and Gene Releaser®. Chloroplast rbcL (ribulose-1,5-bisphosphate carboxylase) could be amplified. Nuclear ribosomal sequences had >95% homology to Pinus tae

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Radhi, Farah, and Omar Al-Fatlawi. "Petrophysical Characterization and Lithology of the Mishrif Formation in Ratawi Oil Field, Southern Iraq." Iraqi Geological Journal 57, no. 2F (2024): 195–215. https://doi.org/10.46717/igj.57.2f.13ms-2024-12-23.

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The Ratawi Oil Field (ROF) is one of Iraq's most important oil fields because of its significant economic oil reserves. The major oil reserves of ROF are in the Mishrif Formation. The main objective of this paper is to assess the petrophysical properties, lithology identification, and hydrocarbon potential of the Mishrif Formation using interpreting data from five open-hole logs of wells RT-2, RT-4, RT-5, RT-6, and RT-42. Understanding reservoir properties allows for a more accurate assessment of recoverable oil reserves. The rock type (limestone) and permeability variations help tailor oil ex

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Hilal, Ahmad Khan, and Pal Gurinder. "Study and Analysis of Big Data Security Analytics for Protecting Cloud Based Virtualized Infrastructures." International Journal of Trend in Scientific Research and Development 4, no. 1 (2019): 763–67. https://doi.org/10.5281/zenodo.3606233.

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In cloud computing virtualized infrastructures has become a stimulating target for cyber attackers to initiate advance attacks. The motive of this work may be a narrative huge knowledge primarily based security analytics approach to get advanced attacks in virtualized infrastructures. User application logs and network logs collected consistently from the tenant virtual machines VMs are saved within the Hadoop Distributed File system HDFS . Extraction of attack features is performed through graph based event correlation and Map Reduce parser based identification of potential attack paths. Two s

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Aykac, Deniz, Thomas Karnowski, Regina Ferrell, and James S. Goddard. "Detection and Characterization of Rumble Strips in Roadway Video Logs." Electronic Imaging 2020, no. 6 (2020): 50–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.6.iriacv-050.

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State departments of transportation often maintain extensive “video logs” of their roadways that include signs, lane markings, as well as non-image-based information such as grade, curvature, etc. In this work we use the Roadway Information Database (RID), developed for the Second Strategic Highway Research Program, as a surrogate for a video log to design and test algorithms to detect rumble strips in the roadway images. Rumble strips are grooved patterns at the lane extremities designed to produce an audible queue to drivers who are in danger of lane departure. The RID contains 6,203,576 ima

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Hameed, Noor, and Rwaida AbdulMajeed. "Using the Conventional Method to Estimate Water Saturation of Khasib Formation in East Baghdad Oil Field Central Area." Iraqi Geological Journal 57, no. 2C (2024): 102–9. http://dx.doi.org/10.46717/igj.57.2c.8ms-2024-9-16.

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The water saturation level may change due to geological changes or human intervention, like earthquakes, excavation, injection, or extraction of ﬂuids from underground reservoirs. This work helps the reader understand how to use electrical logging to acquire a suitable water saturation value in resistivity and dielectric studies. In the East Baghdad field, two wells that were drilled into the Khasib Formation had their petrophysical parameters assessed using IP software. This allowed for the determination of water saturation using the available well logs, including neutron, density, SP, sonic,

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Boateng, Ransford Kwasi, Justice Duah Agyeman, Stephen Inyong, Edmund Senam Kwame Agbadzah, and Harold Adjarko. "Exploring Species Extraction Volume and Residues of Illegal and Conventional Logging Operations." Asian Journal of Environment & Ecology 20, no. 2 (2023): 59–68. http://dx.doi.org/10.9734/ajee/2023/v20i2437.

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Governments, policymakers, at most public fora, condemn activities of chainsaw operations as illegal and in fact, it has been criminalized with an explanation that it is wasteful and destructive to the environment. The study compared species, diameter distribution, extracted, volume, and residues generated during conventional and illegal logging operations in the forest communities. Using quantitative design approach, the researchers estimated the volume of waste generated by illegal logging and that of conventional loggers and also identified the species targeted. In order to determine the di

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R K, Monika, and Ravikumar K. "PROTECTING VIRTUALIZED INFRASTRUCTURES IN CLOUD COMPUTING BASED ON BIG DATA SECURITY ANALYTICS." ICTACT Journal on Soft Computing 11, no. 2 (2021): 2306–15. https://doi.org/10.21917/ijsc.2021.0330.

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Virtualized infrastructure in cloud computing has become an attractive target for cyber attackers to launch advanced attacks. This paper proposes a novel big data based security analytics approach to detecting advanced attacks in virtualized infrastructures. Network logs as well as user application logs collected periodically from the guest virtual machines (VMs) are stored in the Hadoop Distributed File System (HDFS). Then, extraction of attack features is performed through graph-based event correlation and Map Reduce parser based identification of potential attack paths. Next, determination

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