Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps),
2023
Southern Methodist University
Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn
SMU Data Science Review
Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …
Development Of An Improved Mathematical Representation Which Captures The Nonlinear Dynamic Behavior Of A Drill-String Assembly,
2023
The University of Texas Rio Grande Valley
Development Of An Improved Mathematical Representation Which Captures The Nonlinear Dynamic Behavior Of A Drill-String Assembly, Eleazar Marquez
Mechanical Engineering Faculty Publications and Presentations
In this study, an improved mathematical representation of a drill-string assembly is developed to provide an alternative assessment on vibration irregularities proliferating downhole due to bit-rock interference. Lateral vibrations receive particular attention due to their high frequency content which alter the dynamic response of the drill-string, instigate casing damage, and impede optimal penetration rates. The response of the drill-string is captured by synthesizing compatible stationary bit excitations, via an auto-regressive digital filter, and implementing Monte Carlo simulation, while the power spectral density function is approximated to elucidate the dynamic characteristics during drilling. Formulating adequate physical parameters for the equation of …
Freespan Analysis For Subsea Pipeline Integrity Management Strategy,
2023
Universitas Indonesia
Freespan Analysis For Subsea Pipeline Integrity Management Strategy, Nurul Hadi, Muhammad Helmi, Edo Cathaputra, Dedi Priadi, Donanta Dhaneswara
Journal of Materials Exploration and Findings (JMEF)
Abstract. Over a rough seabed or on seabed subject to scour, freespans can occur when contact between a subsea pipeline and the seabed is lost over an acceptable distance. When this exceeds the allowable freespan length, design stresses can be exceeded, and a vortex induced vibration (VIV) response can be initiated, resulting in the risk of fatigue failure. If this is not predicted and controlled properly, it will affect pipeline integrity, leading to expensive rectification and intervention work. Freespan analysis consisted primarily of a screening check in which the as-found freespans from Remotely Operated Vehicle (ROV) or multibeam Side …
Structural Integrity Analysis Of The Rig Mast Following Repair Of Two Diagonal Braces In The Upper Mast Section,
2023
Universitas Indonesia
Structural Integrity Analysis Of The Rig Mast Following Repair Of Two Diagonal Braces In The Upper Mast Section, Rendhatya Padmodwiputra, Johny Wahyuadi Soedarsono, Mirza Mahendra, Bambang Eka Satria, Chandra Arif, Eka Juni Suarthana
Journal of Materials Exploration and Findings (JMEF)
During a move to the new drilling location, two braces of the upper mast section on a 550 HP oil and gas rig was damaged. When damage is discovered, the rig operating company should conduct a risk analysis related to the damage using the standard used to determine rejection criteria and follow-up repairs. The strength of the rig mast is calculated using Finite Element Analysis (FEA) with initial conditions (before damage occurs) where all braces are installed and extreme conditions where neither brace is repaired. The calculation results are then used to assess the risk of reducing the rig mast …
Ground Risk Model For Uavs,
2023
Fenix UAS Ltd, Aviation Safety Management Systems Ltd
Ground Risk Model For Uavs, Andrew V. Shelley
International Journal of Aviation, Aeronautics, and Aerospace
This paper develops an alternative to the ground risk model provided by JARUS SORA. Key inconsistencies in the SORA ground risk model are identified, specifically ground risk continuing to increase when there is no further increase in fatality probability.
Population density is a critical component of UAS ground risk. Definitions of population density adopted by various regulatory jurisdictions are reviewed. A categorisation of population density is developed based on official statistics categories for New Zealand. This categorisation is more granular than that provided by SORA, enabling a more nuanced assessment of risk.
A ground risk model is then developed using …
Dynamic Rbi With Central Difference Method Approach In Calculation Of Uniform Corrosion Rate: A Casestudy On Gas Pipelines,
2022
Departemen Metalurgi dan Material, Fakultas Teknik, Universitas Indonesia, Depok 16424, Indonesia
Dynamic Rbi With Central Difference Method Approach In Calculation Of Uniform Corrosion Rate: A Casestudy On Gas Pipelines, M.Riefqi Dwi Alviansyah, Fernanda Hartoyo, Zahra Nadia Nurullia, Ari Kurniawan
Journal of Materials Exploration and Findings (JMEF)
The oil and gas industry generally uses a piping system to drain fluids. Even though the pipes used have been well designed, the use of pipes as a means of fluid transportation still provides the possibility of failure that can occur at any time, one of which is due to uniform corrosion. The use of standard Risk Based Inspection (RBI) according to the API RBI 581 document has been widely used to anticipate potential failures to pipe components. The use of standard RBI can reduce the risk of failure significantly. Because the standard RBI considers the component risk value to …
Risk Management Of Carbon Steel Piping In Sweet Environment Multiphase Fluid Production,
2022
Universitas Indonesia
Risk Management Of Carbon Steel Piping In Sweet Environment Multiphase Fluid Production, Triadhi Panthun Tiggor, Rini Riastuti
Journal of Materials Exploration and Findings (JMEF)
As well reserved depleted and limited, it is necessary to lower the capital expenditure so that lifting SZ reservoir be more profitable. This article first contextualizes the effort done to increase the hydrocarbon lifting in a mature field. Despite the importance to sustain the production, and massive studies done to quantify the associate risk, no structured methodology proposed to manage the risk in respect to optimize the production expenditure by selection of carbon steel as alternative for corrosion resistance material piping. Hence, this article proposed a framework to support the decision-making process to operate in safely manner. Real case study …
Structural Risk-Based Underwater Inspection (Rbui) As A Cost Reduction Of Field’S End Of Production Life,
2022
University of Indonesia
Structural Risk-Based Underwater Inspection (Rbui) As A Cost Reduction Of Field’S End Of Production Life, Ivan Fitrian Putra, Johny Wahyuadi Soedarsono, Mirza Mahendra, Yuki Haidir, Faisal Dwiyana Purnawarman, Iwan Sukirna, Widi Hernowo
Journal of Materials Exploration and Findings (JMEF)
Mubadala Petroleum operates offshore platforms in a southern Makassar Straits that needs to be periodically inspected. The cost for the inspection is massive due to the high cost of mobilization and demobilization of vessels including crew and equipment. In response of a new approach to reduce cost, a Risk-Based Underwater Inspection (RBUI) methodology is developed. This RBUI purpose is to reduce the inspection interval of the offshore platform, from every 2 years to a longer period[1]. There are existing RBUI methodologies, which are already developed and implemented in other companies[5]. Purpose of this paper is to …
Analysis Of Physicochemical Properties And Terrestrial Dynamics Of Mechanically Formed Micro-Nano Scaled Particles From Agricultural Plastic Mulches,
2022
University of Tennessee, Knoxville
Analysis Of Physicochemical Properties And Terrestrial Dynamics Of Mechanically Formed Micro-Nano Scaled Particles From Agricultural Plastic Mulches, Anton Friedrich Astner
Doctoral Dissertations
Release of microplastics (MPs) and nanoplastics (NPs) into agricultural fields is of great concern due to their reported ecotoxicity to organisms that provide beneficial service to the soil such as earthworms, and the potential ability of MPs and NPs to enter the food chain. Most fundamental studies of the fate and transport of plastic particulates in terrestrial environments employ idealized MP materials as models, such as monodisperse polystyrene spheres. In contrast, plastics that reside in agricultural soils consist of polydisperse fragments resulting from degraded films employed in agriculture. There exists a need for more representative materials in fundamental studies of …
Novel Hitch Cargo Cart,
2022
California Polytechnic State University, San Luis Obispo
Novel Hitch Cargo Cart, Cesilio Sanchez Ramirez, Lance Haidet, Richard Lontoc, Tyler Selinka
Mechanical Engineering
This document presents the engineering design process used to develop, manufacture, and test a new and improved iteration of a hitch cart prototype. This process was performed by a team of four mechanical engineering seniors as part of California Polytechnic State University, San Luis Obispo’s senior design pathway. The goal of this project was to develop a sturdy and reliable iteration of our sponsor’s hitch cart prototype, that integrated the functionality of a vehicle hitch cargo platform and that of a height adjustable cargo cart into a single streamlined and easy to use product. This design could be used by …
Scale Modeling Of An Appearance Of Downwash Pattern Of Hot Smoke Ejected From Chimney In The Turbulent Cross Flow,
2022
Toyohashi University of Technology
Scale Modeling Of An Appearance Of Downwash Pattern Of Hot Smoke Ejected From Chimney In The Turbulent Cross Flow, Xangpheuak Inthavideth, Nobumasa Sekishita, Sounthisack Phommachanh, Yuji Nakamura
Progress in Scale Modeling, an International Journal
This study aims to elucidate the scaling law to provide the critical condition on appearance of the downwash pattern of the hot smoke ejected from a chimney in a turbulent cross flow. A specially designed wind tunnel with an active turbulence generator developed by Makita was adopted to offer a quasi-isotropic turbulence field in a lab-scale test facility. A heated jet with smoke is issued into the cross flow from the vertically oriented chimney placed in the test section of the wind tunnel. In this study, the experimental parameters considered are temperature of the heated jet (smoke), jet ejected velocity, …
Exploring And Validating Risks Related To Containerization: Lessons For Vietnam,
2022
World Maritime University
Exploring And Validating Risks Related To Containerization: Lessons For Vietnam, Minh Nhat Pham
World Maritime University Dissertations
No abstract provided.
Evaluating Safety And Productivity Relationship In Human-Robot Collaboration,
2022
School of Food Science and Environmental Health, Technological University of Dublin & Irish Manufacturing Research, Ireland
Evaluating Safety And Productivity Relationship In Human-Robot Collaboration, Aayush Jain, Shakra Mehak, Philip Long, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva
Conference papers
Collaborative robots can improve ergonomics on factory floors while allowing a higher level of flexibility in production. The evolution of robotics and cyber-physical systems in size and functionality has enabled new applications which were never foreseen in traditional industrial robots. However, the current human-robot collaboration (HRC) technologies are limited in reliability and safety, which are vital in risk-critical scenarios. Certainly, confusion about European safety regulations has led to situations where collaborative robots operate behind security barriers, thus negating their advantages while reducing overall application productivity.
Despite recent advances, developing a safe collaborative robotic system for performing complex industrial or daily …
Contents,
2022
Universitas Indonesia
Contents, Jaka Fajar Fatriansyah
Journal of Materials Exploration and Findings (JMEF)
No abstract provided.
The Optimization Of Failure Risk Estimation On The Uniform Corrosion Rate With A Non-Linear Function,
2022
Universitas Indonesia
The Optimization Of Failure Risk Estimation On The Uniform Corrosion Rate With A Non-Linear Function, Fernanda Hartoyo, Jaka Fajar Fatriansyah, Imam Abdillah Mas'ud, Farhan Rama Digita, Hanna Ovelia, Datu Rizal Asral
Journal of Materials Exploration and Findings (JMEF)
Failures in the oil and gas pipeline system are conditions that must be avoided and anticipated because the losses due to the failures can occur at a very high level. Internal corrosion is one of the significant causes of the failures in pipeline systems. In addition, this type of corrosion is due to the high content of carbon dioxide and other corrosive substances in crude oil and natural gas. Therefore, an optimal inspection scheduling system is required to prevent the possibility of pipeline failures due to corrosion and to avoid any overspending on the budget due to excessive inspection scheduling. …
Preface Of Volume 1 Issue 1 On Journal Of Materials Exploration And Findings (Jmef),
2022
Universitas Indonesia
Preface Of Volume 1 Issue 1 On Journal Of Materials Exploration And Findings (Jmef), Jaka Fajar Fatriansyah
Journal of Materials Exploration and Findings (JMEF)
No abstract provided.
Material Selection Of Below-Knee Leg Prosthetics,
2022
Universitas Indonesia
Material Selection Of Below-Knee Leg Prosthetics, Raihan Kenji Rizqillah
Journal of Materials Exploration and Findings (JMEF)
The effort to select the best pylon material, part of below-knee leg prosthetic, has been performed. It begins with function analysis to generate design requirement, which concludes that the objective is to select material that gives proper mechanical properties with lowest weigth and cost. Constraint requirements eliminate unsuitable material. Material indices, a scoring function, are derived from objective with respect to a function, and used for ranking material candidates. Ranking from material indices gives top material candidates of woods. Al alloy, Mg alloy, and ferrous alloy. Further seek of documentation is undertaken by failure analysis, value analysis, fabrication, and environmental …
Full Disclosure: Model Uncertainty In Adjusting For Confounders,
2022
University of Arkansas, Fayetteville
Full Disclosure: Model Uncertainty In Adjusting For Confounders, Dieudonne Dusenge
Graduate Theses and Dissertations
This study examines the role of knowledge about underlying causal relationships in classifying controls in order to mitigate omitted- and included-variable biases. Using simulations and accounting examples, the study shows that the researcher may not distinguish good and bad controls because the underlying causal relationships are unobservable, and remedying strategies (such as the relative timing of measurement) may not remove the uncertainty in the classification. Because of the uncertainty about which controls to use, two or more models will be credible as will the distinct estimates derived from them. Next, the study shows that the current standard practice of singling …
Dynamic Dilemma Zone Protection System: A Smart Machine Learning Based Approach To Countermeasure Drivers's Yellow Light Dilemma,
2022
University of South Alabama
Dynamic Dilemma Zone Protection System: A Smart Machine Learning Based Approach To Countermeasure Drivers's Yellow Light Dilemma, Md Maynur Rahman
Theses and Dissertations
Drivers’ indecisions within the dilemma zone (DZ) during the yellow interval is a major safety concern of a roadway network. The present study develops a systematic framework of a machine learning (ML) based dynamic dilemma zone protection (DZP) system to protect drivers from potential intersection crashes due to such indecisions. For this, the present study first develops effective methods of quantifying DZ using important site-specific characteristics of signalized intersections. By this method, high-risk intersections in terms of DZ crashes could be identified using readily available intersection site-specific characteristics. Afterward, the present study develops an innovative framework for predicting driver behavior …
Adaptive Risk Network Dependency Analysis Of Complex Hierarchical Systems,
2022
Old Dominion University
Adaptive Risk Network Dependency Analysis Of Complex Hierarchical Systems, Katherine L. Smith
Computational Modeling & Simulation Engineering Theses & Dissertations
Recently the number, variety, and complexity of interconnected systems have been increasing while the resources available to increase resilience of those systems have been decreasing. Therefore, it has become increasingly important to quantify the effects of risks and the resulting disruptions over time as they ripple through networks of systems. This dissertation presents a novel modeling and simulation methodology which quantifies resilience, as impact on performance over time, and risk, as the impact of probabilistic disruptions. This work includes four major contributions over the state-of-the-art which are: (1) cyclic dependencies are captured by separation of performance variables into layers which …