Search results for "ritmi"
showing 10 items of 258 documents
The pedagogy of multiliteracies as a code breaker : A suggestion for a transversal approach to computing education in basic education
2021
While computing has been (re)introduced into the basic education curricula in various countries, its actual implementation appears to be inconsistent. There are schools in which computing education is commonplace, while the implementation seems to be lagging behind in others. There is emerging evidence that some teachers do not consider computing education relevant, meaningful and important and, thus, intentionally neglect its provision. This is problematic as understanding the principles of code and computing is crucial for agentic citizenship in the post-digital era. This paper argues that one main reason for these teachers' reluctance is the economy-driven discursive framing of computing…
Geometrie dinamiche nel tracciamento delle curve "celebri" di Apollonio
2011
The elaboration of a conic as geometric locus assumes characteristics of significant generality for the application of methods of Science of Representation. We describes its historical evolution, from the origins to the digital representation, and the peculiar characters through new geometric constructions.
How can algorithms help in segmenting users and customers? : A systematic review and research agenda for algorithmic customer segmentation
2023
What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In this research, we carry out a systematic literature review to address such central questions in customer segmentation research and practice. The results from extracting information from 172 relevant articles show that algorithmic customer segmentation is the predominant approach for customer segmentation. We found researchers employing 46 different algorithms and 14 different evaluation metrics. For the algorithms, K-means clustering is the most employed. For the metrics, separation-focused metrics are slightly more prevalent…
Data-Driven Evolutionary Optimization: An Overview and Case Studies
2019
Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…
Algoritmu analīze lietotāja izvēlēta poligona atrašanai ģeogrāfiskā grafā
2017
Bakalaura darbā tiek formalizēta ģeogrāfiskās informācijas sistēmas (ĢIS) problēma, kurai ir nepieciešams algoritmisks risinājums. Pēc testēšanas metodoloģijas sastādīšanas, tiek analizēti vairāki grafu algoritmi un datu struktūras. Mērījumu rezultātā tiek sastādīts heiristisks, problēmai specifisks algoritms. Tiek veikti tā ātrdarbības mērījumi, asimptotiskā analīze un aprakstīti ierobežojumi. Tiek secināts, ka problēmu ir iespējams pārveidot uz saistītu dator-ģeometrijas problēmu, un aprakstīts kā veikt šo pārveidojumu. Dator-ģeometrijas risinājumi tiek salīdzināti ar izstrādāto algoritmu. Secinot, ka izmantojot tikai grafu algoritmus un ģeogrāfiskās datu struktūras var realizēt algoritmu…
Interactive evolutionary multiobjective optimization with modular physical user interface
2022
© 2022 Copyright held by the owner/author(s). Incorporating the preferences of a domain expert, a decision-maker (DM), in solving multiobjective optimization problems increased in popularity in recent years. The DM can choose to use different types of preferences depending on his/her comfort, requirements, or the problem being solved. Most papers, where preference-based and interactive algorithms have been proposed, do not pay attention to the user interfaces and input devices. If they do, they use character or graphics-based preference input methods. We propose the option of using a physical or tactile input device that gives the DM a better sense of control over providing his/her preferen…
On Attacking Future 5G Networks with Adversarial Examples : Survey
2022
The introduction of 5G technology along with the exponential growth in connected devices is expected to cause a challenge for the efficient and reliable network resource allocation. Network providers are now required to dynamically create and deploy multiple services which function under various requirements in different vertical sectors while operating on top of the same physical infrastructure. The recent progress in artificial intelligence and machine learning is theorized to be a potential answer to the arising resource allocation challenges. It is therefore expected that future generation mobile networks will heavily depend on its artificial intelligence components which may result in …
Simultaneous Noise and Impedance Fitting to Transition-Edge Sensor Data Using Differential Evolution
2020
We discuss a robust method to simultaneously fit a complex multi-body model both to the complex impedance and the noise data for transition-edge sensors. It is based on a differential evolution (DE) algorithm, providing accurate and repeatable results with only a small increase in computational cost compared to the Levenberg–Marquardt (LM) algorithm. Test fits are made using both DE and LM methods, and the results compared with previously determined best fits, with varying initial value deviations and limit ranges for the parameters. The robustness of DE is demonstrated with successful fits even when parameter limits up to a factor of 10 from the known values were used. It is shown that the…
Linear Feature Extraction for Ranking
2018
We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix. We try to optimize a transformation matrix, so that a new matrix (dataset) can be generated as the product of the original matrix and a transformation matrix. The transformation matrix projects high-dimensional document vectors into lower dimensions. Theoretically, there could be very large transformation matrices, each leading to a new generated matrix. In LifeRank, we produce a transformation matrix so that the generat…
Virknes tekstā atrašanas algoritmu analīze
2018
Bakalaura darbā no dažādiem aspektiem ir analizēti virknes meklēšanas tekstā algoritmi. Šādi algoritmi pārstāv svarīgu pētījumu jomu datoru zinātņu jomā, jo tos var izmantot ļoti plaši: datu bāzu pārvaldē, informācijas drošībai u.c. Praksē tiek izmantoti dažādi algoritmi, tomēr to funkcionālās iespējas un raksturojumi atšķiras. Kā pētījuma objekts tiek izvēlēti algoritmi, kurus biežāk izmanto virknes meklēšanai tekstā – Primitīvs, Knuta-Morisa-Prata, Bojera-Moora, Karpa-Rabina. Algoritmu aprakstos ar piemēriem tiek paradīta to uzvedība dažādos apstākļos. Viens no galvenajiem darba uzdevumiem ir izvēlēties efektīvāko algoritmu no piedāvātajiem, ka arī tiek aplūkots jautājums par ideāla algor…