Open Access Zeitschriften des Universitätsverlages der Technischen Universität Chemnitz
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Evaluation of Python Error Message Interpretation: Study on Students with Different Levels of Programming Experience
Get PDFError messages are a helpful tool for everyone interested in learning a programming language. Even after learning the language, novice and experienced programmers alike, have to interact with an error message one way or another. However, there is no single programming language that is usedacross all platforms and systems, so the programmers have to write programs in many different languages. If the programming languages have similar structures, working with a new language is relatively easy. We have asked the question, whether the same effect could be observed in case of error messages. We designed an online survey which was conducted internationally to measure whether the general experience of programmers from any programming language influences the programmer’s ability to correct python error message. The survey was aimed at students who have some experience with programming. We find in comparison with novices, on average the experiencedprogrammers find and fix an error in the code given the sameerror message with its corresponding code snippet. Additionally,we see correlations between the average of correctly fixed errorsand number of programming languages that the participants hadexperience with, as well as their chosen major and their age
Some Results and Evaluation of Training for the Development of Students’ Spatial Visualization
Get PDFThis article discusses the results and evaluation of a training course focused on developing spatial visualization using interactive dynamic tools. The course aims to effectively integrate technology with the Descriptive Geometry course by combining content, pedagogy, and technology while considering the course\u27s characteristics. The training course consists of three phases: seeing, imagining, and drawing. Each phase has different tasks that involve manipulating 3D objects in a virtual environment, corresponding to the level of geometric thinking and cognitive steps of mental rotation. The results of the organized training showed a statistically significant increase in student\u27s spatial skills, and the evaluation of students using the SURE (Structure-Oriented Evaluation) model was deemed sufficient
Von subhumaner zu humanspezifischer Interaktion. Tomasello und die Qualität des Zeigens
Get PDFZusammenfassung. Die zunehmend auch in sozialtheoretischen Diskursen beachtete Forschung Michael Tomasellos erhebt deiktische Gesten zum entscheidenden Umschlagpunkt zwischen animalischen und spezifisch menschlichen Interaktionsformaten. Auf einer mentalistischen Grundlage scheut Tomasello nicht davor zurück, das Zeigen qualitativ gleichzusetzen mit der gesprochenen Sprache und es zur ontogenetisch und phylogenetisch frühesten Form humanspezifischer kooperativer Kommunikation zu erklären. In diesem Beitrag sollen zunächst aus der ausdruckstheoretischen Anlage des Forschungsprogramms resultierende Widersprüche und Zirkularitäten aufgedeckt werden, um anschließend unter Zuhilfenahme der Arbeiten Karl Bühlers eine funktionalistische Analyse der von Tomasello in verschiedenen Beispielen dargelegten deiktischen Qualität vorzunehmen, die auch ein neues Licht wirft auf Tomasellos Erklärung des Übergangs zur gesprochenen Sprache. Abschließend wird gezeigt, dass Tomasellos Ansatz kaum verlässliche Aussagen zur sozialen Praxis sowie zur Genese von kognitiven Vermögen und Kontaktmitteln generiert, dass seine Erkenntnisse zur kognitiven Leistungsfähigkeit von Kindern und nichtmenschlichen Primaten aber unterstützend hinzugezogen werden sollten, um den tatsächlichen Übergang zur menschlichen Sprache näher zu entschlüsseln.Summary. Michael Tomasello, whose research is increasingly recognized in socio-theoretical discourses, describes deictic gestures as the crucial milestone on the way from animal interaction to specific human forms of interaction. On a mentalistic principle, he does not shy away from comparing the pointing gesture to language and from defining the deictic gesture as ontogenetic and phylogenetic earliest form of specific human cooperative communication. This article initially shows that the expression-theoretical construction of the research program creates contradictions and circularities. With reference to Karl Bühler’s works, a semiotic analysis of Tomasello’s examples of the special quality of pointing gestures is provided. This approach also casts a new light on Tomasello’s explanation of the transition to verbal language and argues that Tomasello’s theoretical construction hardly yields reliable statements according to social interaction as a process and to the emergence of cognitive capacities and communication means, but that his findings on the actual cognitive capacities of children and nonhuman primates could additionally be taken into account to unlock the secret of the origins of language
Exploring SSD Detector for Power Line Insulator Detection on Edge Platform
Get PDFPower line insulator detection is pivotal for the consistent performance of the entire power system. It forms the basis of Unmanned Aerial Vehicle (UAV) inspection, an emerging trend in power line surveillance. This paper addresses the challenge of insulator detection in cluttered aerial images, given the constraints of a limited dataset and lower computational resources, specifically on the NVIDIA Jetson Nano platform. We have developed two approaches based on active and passive deep learning algorithms, underpinned by the Single Shot Multibox Detector (SSD) meta-architecture with MobileNetV2 as its backbone - SSD300 and SSD640. The proposal models managed a frame rate of 9 fps in 10W power mode and 5.6 fps in 5W power mode. Our experiments demonstrated that the proposed active learning model could conduct robust insulator detection, achieving a mAP of 94.5% while using only 43% of the total dataset, comparable to the traditional deep learning approach\u27s 94.6% mAP using the entire dataset. Significantly, the active learning model seeks feedback during the training process, enabling it to learn from its mistakes and enhance accuracy over time. This also contributes to improved generalizability and interpretability of the model by seeking diverse and representative samples during training, all while reducing the computational and annotation overhead
Robust Rayleigh quotient minimization and generalized eigenvalue problems
Get PDFWe study the problem of minimizing the non-linear trace quotient trace(V^TG(V)V)/trace(V^TH(V)V) over the Stiefel manifold of all n x p matrices with orthonormal columns. Hereby we assume G(V) and H(V) to be symmetric and positive definite for all V. In this way we generalize the robust Rayleigh quotient optimization introduced by Bai et al. in the article "Robust rayleigh quotient minimization and nonlinear eigenvalue problems". We show a possible way to minimize the nonlinear trace quotient by joining and generalizing different known techniques, e.g. the SCF-iteration, and examine it by testing a small example
Influence of Climatic Factors Affecting PV Generation Systems
No full textIn this research, results were developed using data from January 2022 to December 2022 for a grid-connected 15 kW solar power system installed on the roof of the 8th building of the University of Science and Technology. The data on the energy produced by the solar electric system were analyzed in terms of the influence of factors such as ambient air temperature, relative humidity, wind speed, and solar radiation. The data of ambient temperature, relative humidity, wind speed and solar radiation of Ulaanbaatar city in 2022 were obtained from the NACA Power Data Access Viewer site and analyzed by correlation and regression. According to the research results, the correlation coefficient R is positive for wind speed, air temperature, and solar radiation, and negative for humidity, which are 0.319, 0.708, 0.791, and -0.941, respectively. The coefficient of determination R2 is 0.102, 0.502, and 0.626 for wind speed, air temperature, solar radiation, and 0.887 for humidity. However, it was determined that the effect of solar radiation and ambient temperature on energy production is between strong and weak correlation
Influence Rate Evaluation by Students’ Opinion: University, Library, Courses and Professors: Case of Mongolian Universities
No full textThis paper describes a cooperative study of university lecturers with a focus on figuring out influence factors of students’ achievements in higher education. The evaluation survey is applied as the main method for research. Several lecturers (research team) who teach different courses in the university together developed influence factors in the form of survey questions, which are divided into four core groups: university, library, courses, and professors. The research team plans to collect as much data periodically from all universities in the country which is open to supporting this study. This paper showed the analyses of the first step of the study. 291 students from eight different universities voluntarily sent responses to an online survey.The collected data is processed by structure-oriented evaluation (SURE) model and by standard statistic function. The SURE evaluation score was calculated as 0.88 which we can read that all defined influence factors received evaluation scores from students with very high positive answers. The statistic maximum scores emphasized some factors that influence a lot to students’ achievement and students confirmed by their responses that some factors are very important for them. Further statistic ANOVA test was made for the case of the university group with 13 factors.For the ANOVA test, the null hypothesis. H0 – Null hypothesis stands for no difference between groups. No influence of study years on evaluation scores. By the ANOVA test, the null hypothesis isn’t proven. This concludes first step analyses as not significant statistically. Therefore, the researchteam needs to continue data collection and may apply some other statistical methods to compare the first results
A Competency Framework Implementation for International Public in the Information, Communication and Technology
Get PDFDue to the 4th industrial revolution, technology is evolving and new employment are being created in significant numbers, but many jobs are expected to be eliminated from the market as well [1]. Therefore, citizens of the 21st century need to improve their knowledge of ICT in order to adapt to the digital transformation and acquire the skills required for new jobs. International organizations and the private sector have developed digital skills framework while providing the global digital skills and assess education levels. In this study, a total of 12 frameworks and skills of ICT competency frameworks and skills issued by countries and private sector organizations that are widely used internationally which are leading in ICT competence of citizens have been analyzed. Furthermore, the researchers studied the measures and implementation in several countries in the field of improving public information, communication and technological knowledge and skills
Staging of Alzheimer\u27s disease based on MRI using CNN
Get PDFEarly detection of chronic diseases and determining the stages of damage to the patient is considered one of the most important stages of treatment, as it helps doctors take important remedial measures that help the patient recover or reduce the risk of the disease to a minimum. Alzheimer\u27s disease is one of the neurological diseases that lead to brain atrophy, which leads to the loss of its functions. MRI images of the brain are used to detect Alzheimer\u27s disease, but it is difficult to determine both the stages of the disease and the amount of damage in a patient using this MRI technique. In this research, we aim to detect Alzheimer\u27s disease in addition to determining its stage based on deep learning techniques by using a classifier that uses the convolutional neural network (CNN). In the research, magnetic resonance images of the brain were used, and the hippocampus region was extracted in assessing the amount of damage because it is the most important region in diagnosing damage to the disease and reduce the amount of data entered into the neural network, our results show an accuracy of 95% in estimating brain damage. The results of the classifier used were able to determine the amount of damage according to four stages of the disease