International Journal of Advanced Statistics and IT&C for Economics and Life Sciences

Transforming System Test

2024-11-22T13:18:29+02:00

During the product System Test phase, it is necessary to determine the passed/failed status of tests by analyzing network signals. A second layer of verification is introduced by using a camera to take pictures triggered by these signals. An image recognition model is used to identify the successful operation of the product (tests passed), by processing the captured images. The main goal of the proposed method is the improvement of quality assurance techniques. The possibility of automated defect detection in the manufacturing process will lead to improved productivity, higher product quality, and transparency in reporting.

Using AI for developing personalized learning paths

2024-10-07T16:19:52+03:00

This research aims to examine how artificial intelligence (AI) can be used within the educational framework for developing personalized learning paths. In order to achieve this goal, an etic approach is employed, and a qualitative-quantitative perspective is adopted. Thus, following the PRISMA guidelines, 71 articles published on Web od Science, during January 2014 – June 2024, are selected and analysed using cluster and density analysis. The results bring forward that the peak of the scientific production was reached in 2022 and that the topic is more appealing to the scholars from the information technology field than to the ones from the educational area. Furthermore, two lines of research can be identified; one that is technology-driven and another one that is learner/human-driven. Further research is required in providing a nexus between the two of them since, in the context of Industry 5.0 and Society 5.0, AI could act as a bridge. This research has several implications. On the one hand, it emphasizes the topics that captured scholars’ attention and also various research gaps that should be addressed. On the other hand, it extends the research from the educational management area by highlighting how AI could facilitate the transition towards the implementation of the connectivism learning theories.

Implementation of SDR as a Vector Network Analyzer: Methodology, Configuration, and Software Insights

2024-01-07T19:43:54+02:00

Software-Defined Radios (SDR) offer unparalleled reconfigurability across a wide frequency spectrum, making them versatile tools in the RF domain, especially when capable of simultaneous data transmission and reception. This adaptability positions SDRs as cost-effective universal RF measurement devices. Leveraging these advantages, this article explores the utilization of an SDR as a Vector Network Analyzer (VNA), emphasizing an offset tuning measurement approach to mitigate negative effects inherent in SDR architectures. The research places particular attention on the software and measurement aspects of SDR-based VNA, distinguishing itself from existing recent research that predominantly concentrates on hardware setup and calibration. The study refines and generalizes existing approaches while presenting a universal methodology for VNA realization, for any SDR architecture with at least 1 full duplex transmit and receive port. By addressing the often-overlooked software aspects and proposing a novel measurement approach, this research provides a foundation for implementation, with the potential to significantly contribute to the evolution of SDR-based RF measurement methodologies.

A Systematic Method of Generating Intuitive Bivariate Colour Legends

2024-11-21T15:52:25+02:00

Colour is used increasingly often as quantitative indicator of combined continuous features such as temperature and humidity on geographical maps, or deformity on two axes in medical diagnosis. As such, generating flexible bivariate legends with particularly tough colour constraints for specific combinations of the variables has come to the forefront. The paper presents a systematic method of generating bivariate legends by first selecting a convenient colour subspace and then adjusting it through image processing techniques. The proposed method can generate a wide variety of legends with smart choices of parameters but remains simple enough to be worthy of consideration by specialists (in various fields) whose representations may benefit by becoming better intelligible. These legends can be used for pseudo-colouring of maps, diagrams, and many other images and graphical representations. An example is also provided for a comprehensive colouring to be used in the medical diagnosis of spine deformity.

A Categorical Formalism for Conceptual Graphs

2024-11-29T16:20:16+02:00

In this paper, we propose a formalism for knowledge manipulation, based on conceptual graphs, which is supported by category theory and which can be the basis for the development of knowledge-based systems. The model we propose is an extension of the model based on conceptual graphs. In this model, the application of an inference rule between logical formulas represented by two conceptual graphs is reduced to the identification of an arrow in a category. To this end, we introduce several new notions such as: the category of conceptual graphs, the category of classes of conceptual graphs, the conceptual category of a model and the conceptual category of inference of a model.

Explore the intersection of Self-Determination Theory and cybersecurity education - A literature review

2024-12-03T17:38:57+02:00

This paper explores how organizations can create a sustainable, security-first culture in an increasingly complex environment where organizational and national cultures are strong influencing factors in human behavior. In cybersecurity education, as in any effort of education, there must be a principled commitment to long-term behavior modification through intrinsic motivation, foundational to employees acting consistently in secure ways. The review of the literature falls squarely within Self-Determination Theory, underlining the pertinence of autonomy, competence, and relatedness as distinctive factors in cybersecurity education, highlighting that these constructs are necessary at all levels for perpetual security and compliance.

The results indicated that an effective security-first culture could only emerge when cybersecurity formed part of the core values and practices within organizations. It also explained that leadership styles, such as transformational and servant leadership, play an important role in the development of intrinsic motivation by fostering trust, empowerment, and a sense of shared responsibility. It also highlights how national cultural dimensions, such as individualism and power distance, may change how differently oriented employees respond to cybersecurity policies and practices. Approaches to cybersecurity education should be tailored to both organizational and national cultural factors to develop cybersecurity education strategies that could go beyond mere compliance and build a proactive security mindset.

This is important because it underlines how the SDT acts as a framework for understanding how companies could help foster a security-first culture that, at the same time, will create sustainable, resilient, and intrinsically driven cybersecurity behaviors among employees.

A robotic arm for playing chess

2024-12-07T10:51:21+02:00

The main goal of this research was to design and implement a robotic arm for playing chess on three standard real boards handling real regular pieces. Research, design and redesign were done on all aspects of the development: mechanical, hardware and software. A lot of problems emerged, but were overcome, and the robotic arm met its goal: to reliably moves chess pieces on the boards with millimetric positioning precision.
Interfacing the PC to 3 DGT autosensory boards and interfacing the PC with a classic software chess engine should be further considered

Arduino Data Acquisition System for Monitoring Quality of Life Parameters in a Room

2024-01-14T18:43:44+02:00

Data acquisition is the process of collecting information from various sources through
sensors or instruments. After obtaining the da ta, it is usually converted from the analogue
format to a digital format.
In this paper an a pplication that gathers room-related information is presented. The purpose
of such a system would be to be able to monitor certain parameters of interest in a living
space. Afterwards this data can be used in various manners. One of the most important
results of this data is being able to identify the habitability of a room . It can point out
potential health hazards before they cause actual health problems. An additional objective is
for the system to be on an accessible budget and to be easy to understand and implement .
The hardware system using Arduino is presented in detail, as well as the graphical user
interface created in Visual Studio.
The system works as intended for the purposes stated above. It measures: temperature,
humidity, light intensity, sound, and air qua lity. It works on its own if it is supplied with a 9-
volt power source. The Graphical User Interface can be used to visualise and analyse the
collected data . The system can still be improved by adding wireless communication such as
Wi-Fi and allowing it to be integrated into Internet of Things sy stems. The power
consumption could be improved if needed for higher sampling frequency demands.

Conceptual Modelling of a Laboratory’s Products and Some Assisted Management Applications

2024-10-07T12:46:35+03:00

The research investigates by conceptual modelling tools the requirements needed for a proper definition of a laboratory's products or services. By using a high degree generalization modelling language, under the research scope we investigate the product/service as a material test and/or calibration for measuring equipment. The research results expressed in modelling language are later implemented in an Assisted Management Application.

Categorical Mechanisms in Modelling Multiagent Systems

2024-11-22T15:37:46+02:00

The main contribution that this paper brings is the specification of multiagent systems, at the metamodel level, using an appropriate categorical sketch. We will see that category theory provides all the necessary ingredients for the formal specification of multiagent systems. In our approach, a multiagent system is specified by a static dimension and a behavioural dimension. For both dimensions we have defined a metamodel based on the categorical sketch. To specify the static dimension, we used a categorical sketch whose models are the states of the multiagent system. To specify the behavioural dimension, we introduced a Kripke-type categorical metamodel, which is based on a categorical sketch with constraints equivalent to the specified logical axioms.

Logistics Optimization for Resource Allocation and Scheduling Using Time Slots

2024-11-19T20:31:59+02:00

In the field of logistics, efficient scheduling and resource allocation are essential for ensuring the seamless flow of goods through transportation networks. This paper addresses the Interval Scheduling Problem, a combinatorial optimization challenge, in the context of logistics planning for goods transportation. The study examines how optimized appointment scheduling and resource allocation can enhance the performance of transportation networks. By combining theoretical insights, algorithmic solutions, and practical applications, this work proposes a comprehensive approach grounded in mathematical models that account for time, resource, and capacity constraints, alongside a computational implementation. Utilizing advanced computational techniques and real-time data integration, the proposed solutions aim to increase operational effectiveness and competitiveness while reducing costs in transportation logistics.

Implementation of sensorless indirect vector control of induction motor with closed-loop current control

2024-12-02T18:59:42+02:00

The paper focuses on the development and testing of an advanced induction motor control method. This method, known as indirect rotor flux-oriented vector control, allows independent control of motor torque and flux, providing high dynamic performance similar to that of a DC motor. Additionally, the implemented system is sensorless, eliminating physical rotor position sensors, which reduces complexity and cost while increasing system reliability. The proposed system uses a rotor flux estimation algorithm, based on mathematical models, which provides the necessary information for vector orientation in the absence of a sensor. Additionally, closed-loop current control improves stability and accuracy of the control by correcting output current deviations from reference values. Thus, the system provides fast and accurate response in the presence of load variations and external disturbances. Simulations and experimental tests were carried out in the Simulink environment, where the proposed model was evaluated under various operating conditions. The results demonstrate the efficiency of the system and the validity of the method for industrial applications where precise and robust induction motor control is required.

Reflow oven with Wi-Fi connectivity

2024-01-12T18:13:17+02:00

This paper will address a theme that highlights the role of an electrical equipment in the electrical industry, focusing on the process of soldering components onto the surface of printed circuit boards.

The choice of the theme "Reflow Oven with Wi-Fi Connectivity" was driven by the desire to create a system with practical and applicative outcomes. The aim is to develop equipment that facilitates the soldering process of Surface Mounted Device (SMD) components. Such an automated system is valuable in the production of small batches of equipment, such as electronic modules for prototypes or various applications.

The equipment or electronic module aims to depict a Printed Circuit Board (PCB) on which both Surface Mounted Devices (SMD) and Through Hole Technology (THT) components are mounted. Throughout the paper, the implementation of an automated system capable of carrying out the soldering process for SMD components will be discussed.

Single Phase Induction Motor Electrical Performances

2024-12-03T11:51:24+02:00

A single-phase induction motor (SPIM) is one of the most widely used types of electric motors for applications that require small to medium power even his features don’t look very efficient energy parameters point of view. This motor runs on single-phase AC power, a real advantage for residential and light industrial applications and coupled with a DC permanent machine can emphasize its behavior in some specific situations.

Starting and running performance of single-phase induction motor depend on running torque requirements of the load. Some statements about power factor and efficiency will be done, also

The Smart plants care system using Bluetooth technology

2024-01-24T16:43:01+02:00

This paper discusses the replacement of manual processes and the way in which the possibility of human errors in plant care is eliminated. The benefits that the intelligent system brings are the reduction of human errors, the reduction of time for plant care such as watering the flowers, checking the humidity of the plants, moving them to a brighter place.

Vacation Planning Application using API

2024-01-13T19:15:41+02:00

Choosing and booking a vacation can be difficult when the application where these things are done is not user-friendly. Therefore, the application that I have created will have to make the user experience much more pleasant. The purpose of the application is to be able to choose a holiday according to the desired filters, with the option to search for a flight in the same period. After booking it, the user who created an account will have stored in his account all the reservations made. Using the logic behind this application, any travel agency can create a new interface that they can customize according to their wishes, but the functionalities remain the same. They can also change what data they want to receive from the API, what data they want to store in their database and in addition modify the offers according to their wishes.

Automatic part-of-speech tagging

2024-03-22T13:01:13+02:00

Natural language processing (NLP) is a key technique in Business Process Management (BPM). The performance of BPM methods, which are based on NLP, is limited by the accuracy of automatic part-of-speech tagging, a base subtask of NLP.[9] The automatic partof-speech tagging is the process of assigning a tag to every word in a text or a document.[1] I have developed and presented in this paper an application that learns to correctly predict parts-of-speech for words within a sentence using a machine learning algorithm. For this I used a pre-labeled data set (Brown Corpus) and implemented, evaluated and compared several versions of the n-Gram algorithm with the aim of obtaining the best classification accuracy of the automatic part-of-speech tagging process.

An Electronic voting system using Blockchain technology

2024-02-19T21:57:11+02:00

This paper presents an application for a voting system that uses blockchain technology.

The Emerging Technologies: The Drivers for Digital Transformation in Business and Education

2024-12-04T16:45:01+02:00

Emerging technologies, including Blockchain, Quantum Computing, Artificial Intelligence (AI), and Internet of Things (IoT), whether utilized individually or in combinations such as AIoT and IIoT, possess a disruptive nature that is poised to fundamentally reshape the functioning of specific industries, education, and society at large. These technologies act as catalysts for digital transformation, fostering the emergence of novel business models and opportunities for development. Launched as an initiative of the Cluj IT cluster and supported by the Hasso Plattner Institute in Potsdam, Germany, Sibiu Innovation Days (SID) represented a necessity for Sibiu, for the university, for companies in the area, in the idea of bringing together of all decision makers that acts around the concepts of digitalization, innovation and knowledge transfer to a smarter society and a better life for its members. Emerging technologies can exploit Romania’s connectivity and broadband capabilities, where Romania is above the European average, bringing it into line with and keeping pace with developed countries in terms of the digitalization of industry, agriculture and society as a whole. In this regard, we believe that no effort is useless to increase Romania’s innovation performance, and through the activities carried out at Sibiu Innovation Days 2024, solutions to some of these challenges were addressed and proposed.

Interpretation of Student Responses in Teacher Evaluations: A Comparative Cluster Analysis Approach

2024-12-19T08:49:41+02:00

This study interprets student responses regarding teacher evaluations using advanced cluster analysis techniques. The responses were clustered using the K-Means and HDBSCAN algorithm from the Data Science GPT [Large language model]. Fifteen main features influencing teacher evaluations were identified, and their relationships were visualized using bar charts and heatmaps to illustrate cluster overlaps. The analysis compares traditional K‑Means clustering with Hierarchical Density-Based Spatial Clustering (HDBSCAN), highlighting the benefits of density-based clustering in capturing nuanced insights. These findings provide actionable recommendations for enhancing teaching quality and student satisfaction in higher education.