Iskanje po katalogu digitalne knjižnice

Opis: Auditing, as a form of control (for example over financial management or compliance), has traditionally relied on manual processes that are time-consuming, labor-intensive and prone to human error. With the advent of robotic process automation (RPA), there has been a paradigm shift from manual to automated processes in audit processes as well. Automation dates back to the 1990s, which led to the creation of robotic process automation (RPA) tools. Today we are approaching or we are in the fourth industrial revolution, the era of universal automation. RPA refers to the use of software robots (or "bots") to automate repetitive rule-based activities previously performed by humans. As companies try to keep up with rapid technological improvements, incorporating RPA into audit processes provides a number of benefits that can radically change auditing. RPA has emerged as a transformative technology in auditing, changing established approaches with its ability to improve productivity, accuracy and compliance. One of the most significant benefits of RPA in auditing is its ability to increase efficiency. Traditional audit procedures can sometimes be time-consuming and labor-intensive, as auditors must manually collect and evaluate data from multiple sources. RPA accelerates these activities by automating common tasks such as data entry, coordination and report generation. For example, an RPA robot can be trained to collect financial data from multiple sources (eg from multiple companies) and verify its accuracy using established criteria. This not only reduces the time required to perform audits, but also eliminates the possibility of human error. In addition to efficiency, there is another key advantage: accuracy. RPA enables auditors to take proactive measures to reduce risk, thereby protecting the financial integrity and reputation of the organization. By automating mundane and repetitive activities, RPA allows auditors to focus on more strategic activities that deliver value to the business. Auditors (in the broadest sense) can spend more time evaluating data models, finding areas for improvement, and making strategic suggestions to management. The aim of this bachelor's degree thesis is to explore and demonstrate the application of RPA in audit procedures, highlighting its benefits such as increased productivity, improved quality of rapid processing of large databases, improved risk management, and cost savings. The thesis also discusses the challenges and considerations related to the implementation of RPA in audit practices. The history of RPA is detailed, revealing its use by different industries and their goals. The thesis defines all types of RPA tools and their advantages and weaknesses. It also distinguishes between artificial intelligence (AI) and RPA, as it can confuse the activities of RPA tools with AI.
Ključne besede: robotic process automation, RPA, monitoring, analytics, security, productivity, auditing, audit process.
Objavljeno v DKUM: 09.09.2024; Ogledov: 25; Prenosov: 14
Celotno besedilo (1,64 MB)

Opis: Background Decarbonisation of the European economy is one of the main strategic goals of energy transition in the European Union (EU), which aims to become a leader in this process by 2050 and to include other European countries making thus the European continent the first carbon neutral region in the world. Although decarbonisation is an important goal of the EU, the models for monitoring the progress of this process have not yet been clearly defined, and views on the social, economic, and security implications in terms of prioritising decarbonisation are conflicting. The main objective of this paper is to determine the methodological correctness of the existing method of decarbonisation monitoring, to develop a new monitoring model indicating the differences in the EU and European countries that are non-EU and to point out the underlying social, economic and security implications that must certainly find their place in the decision-making process in this field. Results The main results showed that there is no clearly defined model for monitoring the success of decarbonisation, while the indicators that are commonly used for this purpose make a model that, as the analysis shows—is methodologically incorrect. In the case of EU countries, the following indicators proved to be the most reliable: consumption-based CO2 and share in global CO2. For non-EU countries, the best monitoring indicators are CO2 per unit of GDP, consumption-based CO2, and renewable energy consumption. These indicators can explain 99% of the variance in decarbonisation success. Conclusions The basic conclusion of the paper is that even before the implementation, the decarbonisation monitoring model should be defined and methodologically tested, and the use of a single model for all EU countries or for all countries is not recommended. It is proposed to simplify the monitoring model, with an emphasis on monitoring of consumption-based CO2, which proved to be the most efficient in all sampled countries. The current method of monitoring is based exclusively on environmentally related indicators while ignoring the fact that decarbonisation is associated with almost all aspects of development. The additional social, economic and security aspects need to be developed and included in the further monitoring process.
Ključne besede: decarbonisation, Eastern European economies, monitoring, social implications, security aspects
Objavljeno v DKUM: 02.07.2024; Ogledov: 144; Prenosov: 14
Celotno besedilo (1,20 MB)
Gradivo ima več datotek! Več...

Opis: In cutting processes, tool condition affects the quality of the manufactured parts. As such, an essential component to prevent unplanned downtime and to assure machining quality is having information about the state of the cutting tool. The primary function of it is to alert the operator that the tool has reached or is reaching a level of wear beyond which behaviour is unreliable. In this paper, the tool condition is being monitored by analysing the electric current on the main spindle via an artificial intelligence model utilising an LSTM neural network. In the current study, the tool is monitored while working on a cylindrical raw piece made of AA6013 aluminium alloy with a custom polycrystalline diamond tool for the purposes of monitoring the wear of these tools. Spindle current characteristics were obtained using external measuring equipment to not influence the operation of the machine included in a larger production line. As a novel approach, an artificial intelligence model based on an LSTM neural network is utilised for the analysis of the spindle current obtained during a manufacturing cycle and assessing the tool wear range in real time. The neural network was designed and trained to notice significant characteristics of the captured current signal. The conducted research serves as a proof of concept for the use of an LSTM neural network-based model as a method of monitoring the condition of cutting tools.
Ključne besede: tool condition monitoring, artificial intelligence, LSTM neural network
Objavljeno v DKUM: 22.04.2024; Ogledov: 181; Prenosov: 22
Celotno besedilo (3,75 MB)
Gradivo ima več datotek! Več...

Opis: 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.
Ključne besede: LIDAR, robot, human-robot collaboration, speed and separation monitoring, intelligent control system, geometric data registration, motion prediction
Objavljeno v DKUM: 16.02.2024; Ogledov: 417; Prenosov: 32
Celotno besedilo (5,27 MB)
Gradivo ima več datotek! Več...

Opis: Uvod: Frekvenca dihanja je ključni fiziološki parameter, ki se uporablja v številnih kliničnih okoljih. Kljub njegovi diagnostični in prognostični vrednosti se še vedno pogosto meri z ročnim štetjem frekvence dihanja. V zadnjem času je velik pomen v kliničnem okolju dobila metoda, s katero popolnoma neinvazivno preko signalov elektrokardiograma oziroma njegovih elektrod spremljamo frekvence dihanja. Metode: V zaključnem delu smo uporabili kvantitativno metodologijo z metodo opazovanja. S pomočjo zbranih podatkov iz kliničnega okolja, smo naredili opazovalno študijo. Za izvedbo raziskovalne naloge smo uporabili neslučajnostni namenski vzorec, ki je zajemal 150 pacientov, starejših od 18 let, ki so bili priključeni na EKG monitoring. Rezultati: V raziskavi je sodelovalo 150 pacientov, pri čemer je analiza meritev frekvence dihanja pokazala razlike med izmerjenimi vrednostmi brez EKG monitorja (19,89 vdiha na minuto) in z EKG monitorjem (19,99 vdihov na minuto). Statistična primerjava razlik med izmerjeno frekvenco dihanja brez in z EKG monitorjem ni pokazala statistično pomembnih razlik. Razprava in sklep: Ugotavljamo, da je natančnost merjenja frekvence dihanja ključnega pomena pri kliničnem delu. Glede na rezultate študije menimo, da je spremljanje frekvence dihanja ključnega pomena pri zgodnjem odkrivanju bolezni in napredovanju zdravstvenega stanja pacientov. Zato si želimo, da bi se zdravstveni delavci lahko zanesli na aparate, ki omogočajo natančno in zanesljivo merjenje frekvence dihanja.
Ključne besede: dihanje, frekvenca dihanja, EKG, monitoring
Objavljeno v DKUM: 06.12.2023; Ogledov: 418; Prenosov: 40
Celotno besedilo (1,87 MB)