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Attachment in close relationships and glycemic outcomes in children with type 1 diabetes
Simona Klemenčič, Jasna Klara Lipovšek, Anja Turin, Klemen Dovč, Nataša Bratina, Yael Shmueli-Goetz, Katarina Trebušak Podkrajšek, Barbka Repič-Lampret, Barbara Jenko Bizjan, Sašo Karakatič, Tadej Battelino, Maja Drobnič Radobuljac, 2023, original scientific article

Abstract: Background: Our aim was to determine whether child attachment to parents, parent attachment style, and morning cortisol levels were related to diabetes outcomes measured by average glycated hemoglobin (HbA1c), HbA1c variability over 4 years and time in range (TIR) in children with type 1 diabetes (T1D). Research design and methods: 101 children with T1D and one of their parents were assessed at baseline for child attachment (Child Attachment Interview; CAI) and parent attachment (Relationship Structures Questionnaire; ECR-RS). Serum samples were collected for cortisol measurements before the interviews. HbA1c levels were measured during a 4-year follow-up period at regular 3-monthly visits, and data for TIR were exported from blood glucose measuring devices. Multivariate linear regression models were constructed to identify independent predictors of glycemic outcomes. Results: More girls than boys exhibited secure attachment to their mothers. The results of the regression models showed that securely attached girls (CAI) had higher average HbA1c than did insecurely attached girls (B = -0.64, p = 0.03). In boys, the more insecure the parent's attachment style, the worse the child's glycemic outcome: the higher the average Hb1Ac (B = 0.51, p = 0.005), the higher the HbA1c variability (B = 0.017, p = 0.011), and the lower the TIR (B = -8.543, p = 0.002). Conclusions: Attachment in close relationships is associated with glycemic outcomes in children with T1D, and we observed significant differences between sexes. A sex- and attachment-specific approach is recommended when treating children with less favorable glycemic outcomes. Special attention and tailored support should be offered to securely attached girls in transferring responsibility for diabetes care and at least to male children of insecurely attached parents to prevent suboptimal glycemic control. Further studies in larger samples and more daily cortisol measurements may help us better understand the links between stress response, attachment and T1D.
Keywords: attachment, childhood and adolescence, cortisol, diabetes control, time in range
Published in DKUM: 21.05.2024; Views: 65; Downloads: 1
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Current control of battery pack modules in parallel connection according to SoC
Mario Vražić, Antonio Persic, Peter Virtič, Tomislav Ivanis, 2023, original scientific article

Abstract: Electric vehicles, especially cars, have been in the spotlight for some time now. In the focus of environmentalists, engineers, users, media, etc. With the growth and advancement of the market for such vehicles, other electric vehicles are also focussing on. One of such vehicles is boats, particularly smaller boats up to 8–10 meters in length. Of course, the biggest problem here is charging. The general idea is to use battery modules that can be easily carried and enable hot swapping. This paper investigates scenarios and simulations of the control system for hot swapping of the battery module. Simulations of connection of two and three battery modules to parallel operation and current control are presented in this paper, as well as applied control rules.
Keywords: battery pack, battery modules, parallel connection, Bidirectional multiple input single output synchronous DC/DC converter, BMISO DC/DC converter, Hotplugin, Smart SoC control, Advanced SoC control
Published in DKUM: 08.04.2024; Views: 263; Downloads: 10
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Reduction of surface defects by optimization of casting speed using genetic programming : an industrial case study
Miha Kovačič, Uroš Župerl, Leo Gusel, Miran Brezočnik, 2023, original scientific article

Abstract: Štore Steel Ltd. produces more than 200 different types of steel with a continuous caster installed in 2016. Several defects, mostly related to thermomechanical behaviour in the mould, originate from the continuous casting process. The same casting speed of 1.6 m/min was used for all steel grades. In May 2023, a project was launched to adjust the casting speed according to the casting temperature. This adjustment included the steel grades with the highest number of surface defects and different carbon content: 16MnCrS5, C22, 30MnVS5, and 46MnVS5. For every 10 °C deviation from the prescribed casting temperature, the speed was changed by 0.02 m/min. During the 2-month period, the ratio of rolled bars with detected surface defects (inspected by an automatic control line) decreased for the mentioned steel grades. The decreases were from 11.27 % to 7.93 %, from 12.73 % to 4.11 %, from 16.28 % to 13.40 %, and from 25.52 % to 16.99 % for 16MnCrS5, C22, 30MnVS5, and 46MnVS5, respectively. Based on the collected chemical composition and casting parameters from these two months, models were obtained using linear regression and genetic programming. These models predict the ratio of rolled bars with detected surface defects and the length of detected surface defects. According to the modelling results, the ratio of rolled bars with detected surface defects and the length of detected surface defects could be minimally reduced by 14 % and 189 %, respectively, using casting speed adjustments. A similar result was achieved from July to November 2023 by adjusting the casting speed for the other 27 types of steel. The same was predicted with the already obtained models. Genetic programming outperformed linear regression.
Keywords: continuous casting of steel, surface defects, automatic control, machine learning, modelling, optimisation, prediction, linear regression, genetic programming
Published in DKUM: 25.03.2024; Views: 205; Downloads: 10
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LiDAR-Based Maintenance of a Safe Distance between a Human and a Robot Arm
David Podgorelec, Suzana Uran, Andrej Nerat, Božidar Bratina, Sašo Pečnik, Marjan Dimec, Franc Žaberl, Borut Žalik, Riko Šafarič, 2023, original scientific article

Abstract: This paper focuses on a comprehensive study of penal policy in Slovenia in the last 70 years, providing an analysis of statistical data on crime, conviction, and prison populations. After a sharp political and penal repression in the first years after World War II, penal and prison policy began paving the way to a unique "welfare sanction system", grounded in ideas of prisoners' treatment. After democratic reforms in the early 1990s, the criminal legislation became harsher, but Slovenia managed to avoid the general punitive trends characterized by the era of penal state and culture of control. The authoritarian socialist regime at its final stage had supported the humanization of the penal system, and this trend continued in the first years of the democratic reforms in the 1990s, but it lost its momentum after 2000. In the following two decades, Slovenia experienced a continuous harshening of criminal law and sanctions on the one hand and an increasing prison population rate on the other. From 2014 onwards, however, there was a decrease in all segments of penal statistics. The findings of the study emphasize the exceptionalism of Slovenian penal policy, characterized by penal moderation, which is the product of the specific local historical, political, economic, and normative developments.
Keywords: LIDAR, robot, human-robot collaboration, speed and separation monitoring, intelligent control system, geometric data registration, motion prediction
Published in DKUM: 16.02.2024; Views: 316; Downloads: 18
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A control of a z-axis rotation-tolerant wireless power transfer system using a double DD coil
Jure Domajnko, Nataša Prosen, 2023, original scientific article

Keywords: rotation-tolerant, digital control, bipolar coil, double DD coil, better misalignment tolerance, IPT
Published in DKUM: 20.12.2023; Views: 280; Downloads: 15
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Event-triggered second-order sliding mode controller design and implementation
Andrej Sarjaš, Dušan Gleich, 2023, original scientific article

Abstract: The paper presents an event-triggered higher-order sliding mode controller design. The event-triggering technique is the alternative approach to real-time controller execution, unlike the classic time-triggering technique, which is not time-dependable and is governed by the triggering policy. The technique is suitable for system resource relaxation in case of computation burden or network usage mitigation. The paper describes the stability analysis of the super-twisted sliding mode controller based on input-to-state stability notation. The stability analysis introduces a triggering policy related directly to the ultimate boundness of the system states and preselected sliding variables. The controller time execution with the selected triggering condition prevents the exhibition of the Zeno phenomena, where the minimal inter-event time of the controller has a positive non-zero lower bound. The minimal value of the inter-event time is related directly to the controller parameters and triggering bound, the selection of which is given with the derived stability conditions regarding the designer’s objective. Preventing the fast nonlinear controller execution, especially close to the sliding manifold, also alleviates the chattering phenomena effectively, which is a primal drawback, and limits the usage of the controller on various systems. The method’s efficiency is verified with the hardware-in-the-loop system, where the dynamic and robustness of the triggering approach are compared to the standard time-triggered execution technique.
Keywords: event triggering, sliding mode control, super-twisted controller, chattering alleviation
Published in DKUM: 07.12.2023; Views: 312; Downloads: 9
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Pantograph driven with a linear induction motor with adaptive fuzzy control
Costica Nituca, Gabriel Chiriac, 2019, original scientific article

Abstract: This article presents an adaptive fuzzy control for a linear induction motor, which is used to control the vertical movement of a pantograph, which supplies an electric locomotive from a contact line. The system has the goal of eliminating all the discontinuity on the route, the resonance phenomenon, the separation of the pantograph head from the contact wire, and electric arches. The simulations demonstrate functional control of the pantograph driven with a linear induction motor system using fuzzy control techniques.
Keywords: linear induction motor, fuzzy control, locomotive pantograph, simulation
Published in DKUM: 05.12.2023; Views: 221; Downloads: 4
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Optimal control of gain and offset in direct conversion receivers : magistrsko delo
Amadej Maurič, 2023, master's thesis

Abstract: In the master’s thesis, the development and implementation of optimal control for direct conversion receiver is presented. A background overview of direct conversion receivers, in-phase and quadrature mixers, sampling theory, control theories, adaptive systems, and optimal control is given. The development of a system model which is later used in simulations is also presented. Optimal control is achieved through standard control techniques, such as feedback and feedforward control, with error functions giving restrictions. Information to feed the optimal control is acquired by the system through the analog converters to the digital converters, digital to analog converters, and received signal strength indicators. For the development and testing of optimal control, MATLAB environment was used. Simulations and presentation of the results were also done in MATLAB. Limitations, exact operation, and comments were given throughout the thesis
Keywords: optimal control, direct conversion receiver, radio frequency signal, simulation, MATLAB
Published in DKUM: 23.11.2023; Views: 325; Downloads: 0

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