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Real-time scheduling strategies for safety-critical systems are primarily focused on ensuring correctness, both functional and temporal. In order to provide the desired predictability in such systems, it is often advisable that all timing requirements be guaranteed offline, before putting the system into operation. Formal approaches allow for all necessary and sufficiency conditions corresponding to a feasible schedule to be checked in a systematic manner. This enables formal approaches to act as effective mechanisms for providing timing guarantees required by safety-critical systems. In this work, we develop a scheduler synthesis framework for the optimal work-conserving scheduling of dynamically arriving, sporadic tasks using a formal approach known as “supervisory control of timed discrete-event systems” (SCTDES). The synthesis process starts with the construction of a resource-constraint-aware task execution model and a deadline-constraint-aware timing specification model, for each task in the given real-time system. The system model (i.e., composite task execution model) is then derived and transformed to guarantee work-conserving co-execution of tasks. Such a work-conserving approach enables the synthesis of schedules which avoid processor idling in the presence of ready-to-execute tasks. Next, we use the (transformed) system and specification models to obtain a supervisor which can be used to construct an optimal scheduler for the given real-time system. Finally, the applicability of the proposed scheme for real-world scenarios is shown by presenting a case study on an instrument control system (ICS).

Devising energy‐efficient scheduling strategies for real‐time periodic tasks on heterogeneous platforms is a challenging as well as a computationally demanding problem. This study proposes a low‐overhead heuristic strategy called, HEALERS, for dynamic voltage and frequency scaling (DVFS)‐cum‐dynamic power management (DPM) enabled energy‐aware scheduling of a set of periodic tasks executing on a heterogeneous multi‐core system. The presented strategy first applies deadline‐partitioning to acquire a set of distinct time‐slices. At any time‐slice boundary, the following three‐phase operations are applied to obtain a schedule for the next time‐slice: first, it computes the fragments of the execution demands of all tasks onto each of the different processing cores in the platform. Next, it generates a schedule for each task on one or more processing cores such that the total execution demand of all tasks is satisfied. Finally, HEALERS applies DVFS and DPM on all processing cores so that energy consumption within the time‐slice may be minimized while not jeopardising execution requirements of the scheduled tasks. Experimental results show that the proposed scheme is not only able to achieve appreciable energy savings with respect to state‐of‐the‐art (5–42% on average) but also enables a significant improvement in resource utilisation (as high as 58%).

Flexibility plays a key role in robot based applications, where the ability to perform complex tasks in semi structured or even unstructured environments is strategic.Most industrial robot operates inside a security fence which separates them from human workers, but not all. Flexibility, lightness in relation to the mass to be displaced and energy efficiency are acquiring increasing significance in automation. We can achieve higher performance in robots by optimizing the parameters like high-speed operation, lower energy consumption, lighter weight and safer operation. In this paper a pick and place robot is designed and developed to achieve effective automation with higher safety and with greater ease. The main objectives of designing this flexible manipulator are to reduce its mass and to minimize its vibrations in the end-effector, which enhances good accuracy in positioning.This can be achieved by bringing down the number of working components and jointswhich reduce various losses. The greater mass can be transferred from one place to another place with relatively lesser mass of flexible three link manipulator. The various problems were encountered and rectified during the design and fabrication of flexible three link manipulator for pick and place application.

In an era characterised by mounting environmental concerns and a growing awareness of the critical need for sustainability, the manufacturing industry stands at a crossroads. “Regenerative Manufacturing” emerges as a visionary strategy that not only tries to lower the ecological footprint of production but also seeks to restore and rejuvenate ecosystems, communities, and economies. This abstract provides a look into the profound potential of regenerative manufacturing, showcasing its main principles, processes, and its transformational impact on the future of design and production. Regenerative manufacturing signifies a fundamental transformation in the conceptualization, production, and use of items. The manufacturing process incorporates sustainability, circularity, and resilience throughout all its stages, encompassing material selection, design, production, distribution, and end-of-life concerns. The holistic approach discussed here places significant emphasis on the reduction of waste, optimisation of energy usage, and the utilisation of regenerative resources. This strategy aims to establish a regenerative cycle that actively supports the nourishment of the environment, rather than causing its depletion By employing novel methodologies such as biomimicry and generative design, this approach effectively harnesses the knowledge inherent in nature to stimulate the development of sustainable solutions. The regenerative manufacturing paradigm places significant emphasis on the core principles of collaboration and inclusivity. The recognition of the interconnection of all stakeholders is evident, encompassing producers, designers, customers, and local communities. By promoting openness and upholding ethical standards, this approach facilitates socially responsible production techniques that enhance the agency of local economies, safeguard cultural heritage, and prioritise the welfare of employees. The revolutionary capacity of regenerative manufacturing extends beyond the scope of specific goods and sectors. The power of this phenomenon lies in its ability to transform economic systems, facilitating a shift away from a linear model characterised by the processes of extraction, production, and disposal, towards a regenerative and circular economy. This transition offers not alone ecological advantages, but also financial robustness and enduring success.

This paper presents the findings of an experimental investigation into the effects of cutting speed, feed rate, depth of cut, and nose radius in computer numerical control (CNC) turning operation performed on red mud-based aluminum metal matrix composites. This paper investigates optimization design of a turning process performed on red mud-based aluminum metal matrix composites. The major performance characteristics selected to evaluate the process are surface roughness, power consumption, and vibration, and the corresponding turning parameters are cutting speed, feed, depth of cut, and nose radius. Taguchi-based grey analysis, which uses grey relational grade as performance index, is specifically adopted to determine the optimal combination of turning parameters. The principal component analysis (PCA) is applied to evaluate the weighting values corresponding to various performance characteristics. L9 orthogonal array design has been used for conducting the experiments. The outcome of confirmation experiments reveals that grey relational analysis coupled with PCA can effectively be used to obtain the optimal combination of turning parameters. Hence, this confirms that the proposed approach in this study can be a useful tool to improve the turning performance of red mud-based aluminum metal matrix composites in CNC turning process.

This paper explores the structural, mechanical, thermal, and electrochemical properties of copper matrix composites (CMCs) enhanced by Crassostrea madrasensis seashell powder, which were produced via powder metallurgy and resistance sintering. FESEM images showed a uniform distribution of bio-ceramic particles in the copper matrix composites (CMCs), leading to an improved microstructure and enhanced mechanical behavior. Mechanical tests showed that after incorporating 12 wt.% seashell powder, the average hardness increased to 56 HV, and compressive strength improved to 686 MPa. Density analysis showed a decrease in porosity, which was attributed to better particle diffusion during sintering. The corrosion resistance was evaluated using electrochemical techniques, including OCPT, Tafel polarization, EIS, LSV, and chronocoulometry, which were employed in 3.5 wt.% NaCl media with varying concentrations of the extract of Allium sativum (garlic) as a green inhibitor. Garlic-derived phytochemicals facilitated surface passivation, which was proven by shifts in potential, reduced corrosion rates, and minor charge transfer. The findings confirm that Crassostrea madrasensis bio-ceramic reinforcements and garlic extract-based corrosion inhibition provide a sustainable method for improving the performance and durability of copper matrix composites.

Vancomycin is used in proven or suspected MRSA and MRE infections. An AUC/MIC ratio of ≥400 is the current accepted critical PK/PD\"efficacy\" target of vancomycin activity. The present study was conducted to ascertain the appropriateness of practice of current dosage regimen of vancomycin (1 g BD) based on population pharmacokinetic approach. A single-center prospective study with the ICU setting of a tertiary care center was conducted. A total of 15 adult patients with sepsis treated with vancomycin were included over 15 months from May 2019 to July 2020. Blood samples were obtained at 5, 10, and 30 minutes and thereafter at 2 and 6 hours following the completion of the vancomycin infusion. The data obtained from HPLC estimation was analyzed using a population pharmacokinetic approach with NLME, Phoenix 8.3.2.166. The pharmacokinetic model was based on covariates such as bodyweight and urinary creatinine clearance to predict drug concentrations. A total of 83 vancomycin blood samples were analyzed. The mean AUC and AUC in patients who improved and died were (AUC =293 (152.97); AUC =535.14 (353.67) and (AUC =137.19 (51.37); AUC =582.12 (1036.09) respectively, the difference between the two outcome groups was not statistically significant (p=0.104). The pharmacokinetic model was best described by a two-compartment linear model. The goodness-of-fit plots showed that the final covariate pharmacokinetic model (having bodyweight and urinary creatinine clearance) adequately described the observed vancomycin concentrations. Based on the finding of the study it was concluded that 1 g BD dosing of vancomycin is inappropriate. Including covariates such as urinary creatinine clearance and weight in the pharmacokinetic model helped predict drug concentrations more accurately. However, further studies are required to demonstrate efficacy regarding applying this strategy.

Nurses and nursing students regularly get exposed to pain and sufferings of the patients. Indeed, being empathic and compassionate during patient care is required, yet, the decline in empathy and experience of compassion fatigue was evident during the clinical experience. Here comes the role of self-compassion. Self-compassion is being warm and caring at times of hardship, being kind to self, accepting suffering or unpleasant experiences as they are and being non-judgment. When an individual can be compassionate towards self, he/she can be compassionate towards others during suffering. Substantially, interventions that would improve self-compassion can be emphasized in the nursing curriculum. However, brief self-compassion intervention, MBSR program, and yoga intervention have reported promising results.

This paper investigates the possibilities of using carbon fiber as an inductor material by analyzing its inductive properties. Various shapes such as rectangular, spiral, helical, and cylindrical line structures have been simulated under various constraints using simulation software. Hardware implementations were also tested and both simulation and hardware results show that carbon fibers have the potential to replace copper inductor lines. The implemented spiral inductor produced a quality factor of 40 while producing an inductance of 4 nH at 1.2 GHz frequency.