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Article Citation - WoS: 4Citation - Scopus: 4Simulation of Through-Hardening of Sae 52100 Steel Bearings - Part Ii: Validation at Industrial Scale(Wiley-v C H verlag Gmbh, 2016) Evcil, G. E.; Mustak, O.; Simsir, C.In this study, the material dataset presented in part I of this article is validated at industrial scale in batch through-hardening of bearing races. The material dataset acquired is implemented in a commercial heat treatment simulation software. Heat transfer coefficients for the oil and salt bath are determined by using a commercial standard quench probe. Zone temperatures and transfer times of the roller-belt furnace are measured directly from the system. Through-hardening of inner ring (IR) of 6813 bearing in oil and salt bath is simulated considering most of the industrial details. Finally, predicted dimensional changes are compared with the coordinate measurement results and a good agreement is achieved. It is concluded that determined material and process data, idealizations and simulation procedure can be considered "validated" for further improvement of the industrial process.Conference Object Artificial Intelligence Techniques for Performance Simulation: Solid Oxide Fuel Cells V-J Curve Prediction Via Artificial Neural Networks(ENEA, 2017) Baldinelli,A.; Barelli,L.; Bidini,G.; Bonucci,F.; Iskenderoğlu,F.C.For their high flexibility of operation, Solid oxide fuel cells (SOFCs) are promising candidates to coach the transition towards cleaner and efficient energy generation. Yet, SOFC performance might be markedly affected by fuel composition variability and operative parameters. For that, a reliable simulation tool is necessary for SOFC performance, to optimize its working point and to provide a suitable control. Given the high variability ascribed to the fuel and the electrochemical system high nonlinearity, the implementation of artificial intelligence techniques, like Artificial Neural Networks (ANNs), is worth considering. In ANNs, the correlation between system inputs and outputs is handled by virtual neurons, establishing in-out correlations without entering in knotty kinetics and material properties issues. For what above, a suitably sized experimental campaign is to be designed to provide a large data-set. This to guarantee high ANN performance in the voltage estimation and, at the same time, a wide application domain of the neural simulator. © EFC 2017 - Proceedings of the 7th European Fuel Cell Piero Lunghi Conference.Conference Object Citation - Scopus: 2Personality Type Indicator Models in Serious Games: a Case Study in a Surgical Navigation Game(Institute of Electrical and Electronics Engineers Inc., 2015) Menekse,G.G.; Cagiltay,N.E.; Ozcelik,E.Serious games are a popular concept in both the research and commercial areas. It is agreed that the concept refers to the use of computer games without the main purpose of pure entertainment. In addition to being entertaining, they have some additional educational or training objectives as well. Serious games are used in different areas such as military, government, educational, corporate, and healthcare. However, according to their individual differences, it is not always possible to provide such an educational environment that fits expectations and preferences of all audience. Hence, personalization is becoming an essential issue in serious game environments, which focus on a human-centered paradigm aiming to provide adaptive and personalized services to the users according to the context. However, how such a personalization should be affectively implemented in the design of serious games is a challenge. This study aims to better understand the affect of personality types on game play. For this purpose, a game-based simulation environment which also records all details of the player during the performance of several tasks in the game play was used. Twenty nine students were asked to play the simulation game. Additionally, their personality types were collected based on the theory of psychological types by Carl Jung, the Myers-Briggs Type Indicator (MBTI) which measures personality preferences as defined by Four Dichotomous pairs of mental functions or attitudes. The correlation between these personality types and individual performance measures of players during the game play was analyzed. However no significant correlation between game parameters and the players' personality types has been recorded. This may be because of the limited number of participants that need to be examined in the future studies. © 2015 IEEE.Conference Object Citation - Scopus: 8Simulation-Based Environments for Surgical Practice(Institute of Electrical and Electronics Engineers Inc., 2017) Dalveren,G.G.M.; Çağıltay,N.E.; Özçelik,E.; Maraş,H.Modeling and simulation environments provide several insights about the real situations such as endoscopic surgery. Endoscopic surgery requires both hand skills, so, understanding the effect of using dominant or non dominant hand on mental workload is important to better design, develop and implement modeling and simulation environments to support real-life implementations of surgical procedures. This experimental study presents a simulation application of eye-tracking approach to understand mental workload in different hand conditions: dominant hand, non-dominant hand and both hand. The results of the study show that, performing simulated surgical tasks by both hands compared to dominant hand, increases mental workload which is evident by higher pupil size. Accordingly, to manage the mental-load problems of surgeons while performing complex tasks that require both hand usage simulation-based environments can be used. Consequently, collection of detailed information such as eye-data, can give several insights about the behaviors of the surgeons. Also, their required skills can be improved by development of simulation and training environments. © 2017 IEEE.Conference Object Information System Process Improvement: a Managerial Perspective and Proposal of a General Framework(2006) Mishra,A.; Mishra,D.; Akman,I.System process improvement is a continuous strategy in organizations for reducing overall cost, shortening cycle times, and improve quality and user satisfaction. There are various models like Capability Maturity Model (CMM), ISO, etc. available to measure process improvement. However management role is vital for effective process improvement implementation strategy. This paper briefly presents an assessment of all the factors which, if taken care by the management effectively, can ensure success in information system process improvement and proposes a general 2-stage framework for process improvement. The framework presents stochastic simulation model which is tailored to the dynamics of software projects, and which takes management plan and individual processes as input to show how simulation can be used to achieve effective project management.Article Artificial Intelligence Based Resuscitation Simulation: A Pilot Study of a Novel Approach to Team Leadership Training(BMC, 2026) Kanbakan, Altug; Berikol, Goksu Bozdereli; Ilhan, Bugra; Altintas, Emel; Doganay, FatihIntroduction Team leadership training is essential alongside with technical training for effective resuscitation management. Addressing this gap, we developed a novel simulation system leveraging Large Language Models (LLMs) to create Artificial Intelligence (Al) agents simulating team members in Advanced Cardiovascular Life Support (ACLS) scenarios. This pilot study aimed to to develop a novel LLM-based ACLS simulation training platform and evaluate its performance in simulated resuscitation scenarios on established protocols.
Method Using the Claude 3.5 Sonnet API, we designed a simulation system with four Al agents assigned specific roles as healthcare staff within an ACLS team. Each agent strictly followed the 2020 American Heart Association (AHA) ACLS guidelines while interacting with an ACLS certified emergency medicine specialist user. The ten patient scenario transcripts were evaluated with three blinded emergency medicine specialists whether all the recommended steps are completed. Inter-rater reliability was assessed using Kendall's W and Krippendorff's Alpha statistics to evaluate agreement both within raters and the model.
Results Al agents consistently adhered to the AHA 2020 ACIS algorithm across scenarios, with a high inter-rater reliability (Kendall's W > 0.75 ) . Krippendorff's Alpha values for agreement ranged from substantial (0.84) to almost perfect (0.99), indicating robust compliance with guidelines and effective simulation of resuscitation responses.
Conclusion This study highlights the potential of LL.M-powered simulations as an adjunct to traditional resuscitation training. The system effectively supported team leadership training by providing consistent and guideline-compliant responses. While the results are promising, further research with larger participant samples is necessary to evaluate the long-term educational impact and scalability of such systems.Conference Object Citation - Scopus: 1An Investigation About Process Matchmaking Performances of Unstructured and Decentralized Digital Environments(2007) Cakir,B.; Kilic,H.Efficient matchmaking is an important problem in unstructured and decentralized digital environments. We report the results of simulations of these environments and provide measurements of match performance focusing on unstructured and decentralized environments. In the study, different environment models including P2P (Hypergrid, Gnutella with/without ultrapeer); small-world (WattsStrogatz); heavy-tailed and random versions of Autonomous System Waxman model showing power-law distribution property; random and 2D-Grid are considered. The flooding mechanism enabling process encounters for match purposes is uninformed Breadth-First-Search. Simulations show that the matchmaking performance of random environment outperforms the others for almost all different problems and time-to-live settings. On the other hand, the total cost of small world environment model is the highest for almost all setups. © 2007 IEEE.Conference Object Citation - Scopus: 1Parametric Study and Seasonal Simulations of a Solar Powered Adsorption Cooling System(Brazilian Society of Mechanical Sciences and Engineering, 2009) Taylan,O.; Baker,D.K.; Kaftanoʇlu,B.Models of solar-thermal powered adsorption cooling systems with and without heat recovery developed in TRNSYS and results from steady-periodic and seasonal simulations are presented. A normalized model is presented and used to process the seasonal TRNSYS results to investigate the coincidence between the solar-supplied cooling power and cooling load as the relative sizes of the cooling system and storage are varied. The normalized model yields a seasonal solar fraction and seasonal loss fraction (the excess solar-supplied cooling lost to the environment due to insufficient storage). Simulations were run for a zeolite-water adsorbent-refrigerant pair. Hourly weather data for Antalya, Turkey, were used for the transient simulations. Basic trends in performance were investigated as the following parameters were varied: system type (with or without heat recovery); incident radiation; maximum and minimum bed temperatures; condensation temperature; difference between condensation and minimum bed temperatures (bed excess temperature); bed's dead mass; collector type (flat plate vs. evacuated tube); cooling tower type (wet vs. dry); cooling system size; and, storage size. Results for the conditions explored include the following. Steady-periodic simulations show that the system's COP decreases with decreases in radiation and increases with minimum bed and condensation temperatures. Increasing the excess bed temperature increases the system's COP. Systems with an evacuated tube collector and wet cooling tower give higher system COP's than systems with a flat plate collector and dry cooling tower. The increase in system's COP due to decreasing the bed's dead mass and adding heat recovery is quantified. The solar fraction increases and the loss fraction decreases with increases in storage capacity, and both fractions decrease with increases in maximum bed temperature. The required evacuated tube collector area is smaller than the flat plate collector area while the required mass of adsorbent is independent of collector and adsorption cycle types. © 2009 by ABCM.Conference Object An Investigation About Process Matchmaking Performances of Unstructured and Decentralized Digital Environments(2007) Cakir,B.; Kilic,H.Efficient matchmaking is an important problem in unstructured and decentralized digital environments. We report the results of simulations of these environments and provide measurements of match performance focusing on unstructured and decentralized environments. In the study, different environment models including P2P (Hypergrid, Gnutella with/without ultrapeer); small-world (WattsStrogatz); heavy-tailed and random versions of Autonomous System Waxman model showing power-law distribution property; random and 2D-Grid are considered. The flooding mechanism enabling process encounters for match purposes is uninformed Breadth-First-Search. Simulations show that the matchmaking performance of random environment outperforms the others for almost all different problems and time-to-live settings. On the other hand, the total cost of small world environment model is the highest for almost all setups. © 2007 IEEE.Review Citation - WoS: 7Citation - Scopus: 7A Systematic Review on Classification and Assessment of Surgical Skill Levels for Simulation-Based Training Programs(Elsevier Ireland Ltd, 2023) Tonbul, Gokcen; Topalli, Damla; Cagiltay, Nergiz ErcilBackground: Nowadays, advances in medical informatics have made minimally invasive surgery (MIS) procedures the preferred choice. However, there are several problems with the education programs in terms of surgical skill acquisition. For instance, defining and objectively measuring surgical skill levels is a challenging process. Accordingly, the aim of this study is to conduct a literature review for an investigation of the current approaches for classifying the surgical skill levels and for identifying the skill training tools and measurement methods.Materials and Methods: In this research, a search is conducted and a corpus is created. Exclusion and inclusion criteria are applied by limiting the number of articles based on surgical education, training approximations, hand movements, and endoscopic or laparoscopic operations. To satisfy these criteria, 57 articles are included in the corpus of this study.Results: Currently used surgical skill assessment approaches have been summarized. Results show that various classification approaches for the surgical skill level definitions are being used. Besides, many studies are con-ducted by omitting particularly important skill levels in between. Additionally, some inconsistencies are also identified across the skill level classification studies.Conclusion: In order to improve the benefits of simulation-based training programs, a standardized interdisci-plinary approach should be developed. For this reason, specific to each surgical procedure, the required skills should be identified. Additionally, appropriate measures for assessing these skills, which can be defined in simulation-based MIS training environments, should be refined. Finally, the skill levels gained during the developmental stages of these skills, with their threshold values referencing the identified measures, should be redefined in a standardized manner.
