Most industrial applications are using classical, integer order type PID controllers due to the widely known characteristics such as: simplicity, existence of tuning methods based on process model and provided robustness performances. However, in recent years, academic world's attention has been focused fractional controllers. This paper presents general approach calculation systems as they documented literature, transfer functions for In simulation experiments, conducted Matlab, processes...

Background and Objectives: Elective arthroplasty in Romania has been severely affected by the COVID-19 pandemic, its effects are not quantified so far. The aim of this paper is to determine impact on interventions how they varied Romania. Materials Methods: We performed a national retrospective analysis patients who underwent primary revision elective hip knee at 120 orthopedic-traumatology hospitals that registered National Endoprosthesis Registry from 1 January 2019 September 2022. First,...

The COVID-19 pandemic has brought unprecedented challenges, with a potential stress which might affect the education of resident doctors in field orthopedics and traumatology. Its repercussion on residents’ strain training routes is not well known. After two years pandemic, this paper aims to analyze coronavirus disease 2019 (COVID-19) education, medical training, mental well-being Romanian In January–February 2022, an electronic questionnaire was distributed all orthopedic 12 residential...

The management of renewable energy resources plays an important role in the availability, stability and quality modern power systems. A key policies is played by primary resource availability adjustment to required consumption. As are variable time their forecast represents issue. In this paper explored how use consecrated artificial intelligence techniques such as feed-forward Elman neural networks suitable for production forecasting. main reason that offers a viable solution correct...

This paper presents a proposal related to the wind power forecasting using artificial neural networks. An architecture based on feedforward network is developed. The proposed solution investigated in order establish optimum configuration and performances case of South-East part Europe conditions. Conclusions recommendations are emphasized comparative study solely long term historical energy production enhanced estimation performed with meteorological data behavior over studied period.

The planning of the surgical treatment in orthopedics, with help three-dimensional (3D) technologies, arouses an increasing scientific interest. Scientific literature describes some semi-automatic reconstructive attempts at fragmented bone fractures, but matching algorithms presented are likely to improve. aim this paper is develop a new method aligning fragments comminutive fractures. We have created structured integration process and alignment algorithm integrated clinical workflow for...

Due to crucial importance of the electricity in almost every aspect our life, power systems and their components continue receive considerable attention, important efforts are invested for development or improvement direction smooth transition full smart grid solutions. Even if operation control system well-known, new solutions require careful detailed investigations due challenges emerged from high complexity, security even current operating conditions penetration renewable energy sources...

The scope of this work is to analyze different time series modeling methods, reported in literature, for forecasting production electrical energy from renewable sources such as wind energy. Two models are considered: a stochastic model (ARIMA) and based on neural networks (FFANN or MLP). studied represent the national power system during March 2018.

The aim of the paper is to investigate possibility using artificial intelligence in photovoltaic energy production forecasting. presented approach conceived as a module management and planning power plant located central part Romania. main goal research develop solution that provides electricity based on historical current available solar radiation data real-time. Different input cases configurations feedforward neural network are tested used basis for discussions conclusions.

The purpose of this in vitro study was to analyze and identify a methodology for the improvement shear bond strength orthodontic brackets bonded with two adhesive systems considered be widely used, Transbond Plus Color Change Self-Etching Primer Fuji Ortho LC orthophosphoric acid under various enamel conditions: dry, moistened water saliva. sample size included group 120 freshly extracted premolars distributed into six groups, each one 20 teeth. A universal testing machine used detach...

Smart metering systems development and implementation in power distribution networks can be seen as an important factor that led to a major technological upgrade one of the first steps transition smart grids. Besides their main function consumption metering, is demonstrated this work, extended used support many other functions electricity grid. The present paper proposes new solution uses frequency feature-based method data time-series provided by system estimate energy contour at level with...

The present paper represents a part of research study performed by authors in the field energy management systems based on independent or connected to public supply network renewable systems. main objective deals with design and implementation such system so as facilitate decision-making role providing availability for consumers, both economically terms safety power supplying. requirements, technical solutions, electronic software technologies are identified followed prototype validate...

There is a growing scientific interest in the use of three-dimensional (3D) technologies orthopedic surgery. Digitalization makes research orthopedics more accurate and quantitative. Scientific literature describes an overview current 3D applications orthopedics, without any emphasis on integrating available as clinical workflow.To develop workflow for patient-specific validated practice by employment free software solution with aim minimizing intervention.By exploring surgery, we have...

Monitoring and control of technological process, in many cases spread out over small or large geographical areas, are achieved with supervisory data acquisition SCADA. This is a fact imposed by requirements also economical aspects. approach raises number problems, starting from the design implementation solutions as well security safety these systems. paper makes brief analysis issues, this point authors propose solution based on Service-Oriented Architecture SOA which may represent to some...

<p>This paper presents an inverse dynamic model estimation based on artificial neural network of a complete new parallel robot manipulator prototype 6- PGK with six degrees freedom, built at Petru Maior University Tirgu-Mures. The the is performed feedforward network. In control engineering domain there are structures that need direct or process for ensuring imposed performances. Usually, determination direct/inverse mathematical difficult impossible task to be achieved. these cases...

One of the keys enhancing quality electric power supply resides in accuracy consumption metering. Nowadays development sensors, devices and systems for electricity metering offers basis this service. Nevertheless, achievement many situations is altered such that appropriate measures must be adopted even if already significant costs have been registered. In paper proposed discussed an optimal solution based on identification minimizing measurement errors increasing readings lowering losses...

The management of electric car batteries has taken front stage in automotive research and development as more people choose vehicles (EVs). Optimal performance, safety, lifetime depend on effective battery systems (BMS). To address this, we developed software for system functionality testing a BMS prototype with an AVR ATmega family micro-controller. originality this work is the practical application Arduino platform development, offering scalable reasonably priced solution that goes beyond...

Stress is responsible for increased cortisol levels in depression, affecting different areas of the brain, especially prefrontal cortex and hippocampus. Our paper analysing interrelation between – as a marker neuroendocrine response to stress hippocampal volume subfields markers neurogenesis neuroplasticity theory. The main goal research was focused investigate prove relation level reduced hippocampus depression. We measured morning serum fasting state. For all patients underwent MRI brain...