Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of ...intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
Si presenta una lettura delle proposte spontanee per algoritmi aritmetici fornite da studenti provenienti da famiglie di cultura italiana o non italiana. Tali algoritmi vengono poi usati in ...un’attività etnomatematica mirata a costruire un sapere matematico interculturale a disposizione di tutti. La teoria del contratto didattico di Brousseau in tale contesto si rivela un utilissimo quadro di riferimento.
The current engine of the “computer society” (Cardon) – Big Data and the software and the algorithms that compute and calculate them – is based on a principle of invisibility that, among other ...things, reconfigures the relationships between humans and technologies, especially in terms of perception and understanding of the latter by the former. The “black box” of computers is, in particular, the incarnation of a limit (even political) to the possibility of seeing and thinking the presence of the “machine” that governs our everyday life, beyond the effects it produces. Contemporary art has attempted to react, often controversially, to this condition: a work oriented precisely towards overcoming this visual and epistemological boundary, in order to show the “intelligence” of the computing society and the detection and observation devices on which it is based. A production that aims to overcome a limit, to show the “new images” of the big data and the algorithms, the way they think, the way they look at us and process us. Among the case studies that the essay will take into consideration: the work of Laura Poitras (in particular Astro Noise, 2016), works by Julien Oliver and Jason Salavon, Exit installation at the Palais de Tokyo (2015).
Despite the vast research on energy optimization and process integration, there has to date been no synthesis linking these together. This book fills the gap, presenting optimization and integration ...in energy and process engineering. The content is based on the current literature and includes novel approaches developed by the authors.
Various thermal and chemical systems (heat and mass exchangers, thermal and water networks, energy converters, recovery units, solar collectors, and separators) are considered. Thermodynamics, kinetics and economics are used to formulate and solve problems with constraints on process rates, equipment size, environmental parameters, and costs.
Comprehensive coverage of dynamic optimization of energy conversion systems and separation units is provided along with suitable computational algorithms for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic programming, variational calculus, Hamilton-Jacobi-Bellman theory, Pontryagin's maximum principles, and special methods of process integration.
Integration of heat energy and process water within a total site is shown to be a significant factor reducing production costs, in particular costs of utilities for the chemical industry. This integration involves systematic design and optimization of heat exchangers and water networks (HEN and WN). After presenting basic, insight-based Pinch Technology, systematic, optimization-based sequential and simultaneous approaches to design HEN and WN are described. Special consideration is given to the HEN design problem targeting stage, in view of its importance at various levels of system design. Selected, advanced methods for HEN synthesis and retrofit are presented. For WN design a novel approach based on stochastic optimization is described that accounts for both grassroots and revamp design scenarios.
Sveopća digitalizacija i tehnološki napredak pogodovali su jačanju tehnoloških divova (Amazon, Apple, Facebook, Google i Microsoft) i akumulaciji profita na čemu se temelji današnja digitalna javna ...sfera. U obilju raznih platformi osobito je zanimljiv fenomen društvenih mreža. Dok društvene mreže korisnika čine „kraljemˮ u kreaciji vlastitoga virtualnog sadržaja i potiču kulturu dijeljenja, istovremeno ga lišavaju potpune kontrole nad svojim podacima koji se uglavnom iskorištavaju u komercijalne svrhe. Ovaj rad problematizira dva teorijska koncepta za razumijevanje odnosa moći vlasnika društvenih mreža i njihovih korisnika. Prvi je pojam nadzora kao sve važnijeg čimbenika u političkoj ekonomiji komunikacije. Drugi je lakanovski pojam žudnje za priznavanjem/prepoznavanjem jedinstvenosti kojim se ukazuje na izvor onoga što nas kao korisnike sprečava, ili nam bar djelomično onemogućava, da ono „nevidljivo" – upravljanje „velikim podacima" (big data) i nadzor nad profilima korisnika – povežemo s pitanjima političke ekonomije. U ovom radu, koncipiranom na temelju dvosmjerne komunikacije između vlasnika i korisnika društvenih mreža, nastojimo pokazati da stare teorije ne zastarijevaju u novom vidu odnosa tehnologije, komunikacije, politike i ekonomije.
JGrassTools è una libreria di moduli di analisi territoriale basata sull'utilizzo di dati raster e vettoriali scritta in Java esviluppata da HydroloGIS, Dipartimento di Ingegneria Civile e Ambientale ...dell'Università di Trento e CUDAM. JGrassTools is a library of terrain analysis tools for raster and vector data The library is written in Java and devel-oped by HydroloGIS, the Department of Civil and Environmental Engineering of the University of Trento and the CUDAM. The objective of the project is on one hand to make it easier to a wide group of people to access existing data and models and on the other hand to make the implementa-tion of new models by scientists of differ-ent research centers easier. The modules currently integrated in JGrassTools are mainly geomorphologic and hydrologic algorithms for the evalu-ation of hydro-geologic risk and tools for the analysis of field data.
JGrassTools è una libreria di moduli di analisi territoriale basata sull'utilizzo di dati raster e vettoriali scritta in Java esviluppata da HydroloGIS, Dipartimento di Ingegneria Civile e Ambientale ...dell'Università di Trento e CUDAM. JGrassTools is a library of terrain analysis tools for raster and vector data The library is written in Java and devel-oped by HydroloGIS, the Department of Civil and Environmental Engineering of the University of Trento and the CUDAM. The objective of the project is on one hand to make it easier to a wide group of people to access existing data and models and on the other hand to make the implementa-tion of new models by scientists of differ-ent research centers easier. The modules currently integrated in JGrassTools are mainly geomorphologic and hydrologic algorithms for the evalu-ation of hydro-geologic risk and tools for the analysis of field data.
Learning and teaching of sorting algorithms are very challenging for students and teachers as well. The issues are more highlighted in the online form of teaching which was the only form of schooling ...from March to June of the school year 2019/2020 in Croatia due to the COVID-19 pandemic. The use of visualization tools could be used for lowering the abstraction of complex programming concepts such as sorting algorithms. We conducted research among two high-school classes (n=52) in one science and mathematics high school while teaching sorting algorithms during online schooling. In the experimental group, we used visualization tools VisuAlgo and Python Tutor for teaching sorting algorithms and their implementation in Python as well. We examined students’ attitudes towards programming and online teaching as well. We present the results of the research in this paper.
Neizrazita logika (eng. fuzzy logic) je matematičko-logički aparat razvijen za prikazivanje neizvjesnosti u prirodnim, društvenim i tehničkim disciplinama. Pod pojmom neizvjesnosti podrazumijeva se ...statistička neizvjesnost, kao nepreciznost mjerenja i opažanja, ali i neizvjesnost kod definiranja samih svojstava pojava. Neizrazita logika opisuje neizvjesnost na način koji se može mjeriti sa statističkim (vjerojatnosnim) opisom, a pokazuje se i prikladnijima od njega za sve veći broj slučajeva. Primjena neizrazite logike nameće se stoga kao logičan korak u normizaciji pokazatelja onečišćenja u situacijama praćenja emisija u okoliš, kao i stanja okoliša uzrokovanih onečišćenjem, posebno za vode, gdje je već razvijena metodologija praćenja koja se temelji na statističkim metodama. Ovaj rad stoga daje ocjenu mogućnosti primjene neizrazite logike u praćenju i kontroli pokazatelja onečišćenja okoliša, koja bi se trebala temeljiti na razvoju i primjeni neizrazitih normi, razvijajući pri tome osnovne algoritme. U brojnoj literaturi detaljno se obrazlaže primjena metoda neizrazite logike, što je poslužilo i u ovom radu za razradu potrebnog metodološkog aparata. Nisu zanemareni ni drugi aspekti ovog procesa, kao problem razumijevanja takvih normi od širokog kruga sudionika u postupcima zaštite okoliša, kao što je javnost.
This paper proposes a novel hybrid control of induction motor, based on the combination of the direct torque control DTC and the backstepping one, optimized by Genetic Algorithm (GA). First the basic ...evolution of DTC is explained, where the torque and stator flux are controlled by non linear hysteresis controllers which cause large ripple in motor torque at steady state operation. A Backstepping control is applied to overcome these problems, however the used parameters are often chosen arbitrarily, which may affect the controller quality. To find the best parameters, an optimization technique based on genetic algorithm is used. Also, in order to obtain accurate information about stator flux, torque and load torque, open loops estimators are used for this Backstepping control. At last, experimental results are presented in order to prove the efficiency of the above mentioned control technique.
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