Application of Machine Learning in the Control of Metal Melting Production Process

Abstract This paper presents the application of machine learning in the control of the metal melting process. Metal melting is a dynamic production process characterized by nonlinear relations between process parameters. In this particular case, the subject of research is the production of white cast iron. Two supervised machine learning algorithms have been applied: the neural network and the support vector regression. The goal of their application is the prediction of the amount of alloying additives in order to obtain the desired chemical composition of white cast iron. The neural network model provided better results than the support vector regression model in the training and testing phases, which qualifies it to be used in the control of the white cast iron production

COMPARISON OF TREATMENT OUTCOME AMONG PATIENTS WITH CHRONIC MYELOID LEUKAEMIA WHO ACHIEVED COMPLETE CYTOGENETIC RESPONSE WITHIN OR AFTER ONE YEAR OF IMATINIB MESYLATE THERAPY

The introduction of imatinib, as a type of targeted molecular therapy, has profoundly changed the treatment outcome of chronic myeloid leukaemia (CML). The aim of this study was to assess and compare treatment outcome among patients who achieved complete cytogenetic response (CCgR) within or after one year following initiation of imatinib therapy. A group of 42 adult patients with early chronic-phase Philadelphia-positive CML treated with imatinib mesylate therapy has been studied. In the study group CCgR has been achieved in 36/42 (85.71%) analysed patients, while in 3/42 (7.14%) patients the absence of cytogenetic response has been noted. Early CCgR has been achieved by 25/36 (69.44%) patients with response at median time of 6.9±1.9 months, while late CCgR has been achieved by 11/36 (30.56%) patients at median time of 18.75±2.4 months. Univariate analysis has identified prognostic factors for achieving early and late CCgR. Analysis of remission duration of treatment responders has shown that 21/25 (84%) patients in the group with early CCgR and 9/11 (81.81%) patients from the group with late CCgR still maintained stable remission on last cytogenetic control. The estimated 5-year survival rate was 85% for early responders and 74% for late responders. In conclusion, these results demonstrate that there are no differences in the treatment outcome, i.e. level of response, of patients with CML in relation to whether the CCgR was achieved within or after one year of imatinib therapy

METAHEURISTKA ZA PROBLEM USMERAVANJA VOZILA ZA SAKUPLJANJE KOMUNALNOG OTPADA U URBANOJ SREDINI

This paper presents a methodology for solving the municipal waste collection problem in urban areas. The problem is treated as a distance-constrained capacitated vehicle routing problem for municipal waste collection (DCCVRP-MWC). To solve this problem, four meta-heuristic algorithms were used: Genetic algorithm (GA), Simulated annealing (SA), Particle swarm optimization (PSO) and Ant colony optimization (ACO). Vehicle guidance plays a huge role in large transportation companies, and with this test, we propose one of several algorithms for solving urban waste collection problems.Ovaj rad predstavlja metodologiju rešavanja problema sakupljanja komunalnog otpada u urbanim sredinama. Ovaj problem je tretiran kao problem usmeravanja vozila sa ograničenim rastojanjem za sakupljanje komunalnog otpada (DCCVRP-MVC) i spada u grupu problema kombinatorne optimizacije. Da bi se rešio ovaj problem korišćena su četiri meta-heuristička algoritma i to: Genetski algoritam (GA), Simularno kaljenje (SA), Optimizacija rojem čestica (PSO) i Optimizacija kolonijom mrava (ACO). Usmeravanje vozila igra veoma veliku ulogu u velikim transportnim kompanijama koje se bave prevozom ili transportnom komunalnog otpada, stoga je u radu predlažen jedan od nekoliko algoritama za rešavanja problema sakupljanja komunalnog otpada u urbanim sredinama

Inteligentni sistem za automatsko upravlјanje punjenja kalupa metalom

Inteligentni sistem za automatsko upravlјanje punjenja kalupa metalom, Tehničko rešenje, korisnik: Koncern „Farmakom MB“, Inudistrijski kombinat „Guča“ ad, Guča. Prihvaćeno od Naučno-nastavnog veća Fakulteta tehničkih nauka u čačku, Univerziteta u Kragujevc

Unapređenje tehnologije livenja nosača zuba bagera vedričara

R. Slavković, S. Dragićević, Ž. Čojbašić, I. Milićević, M. Popović, S. Manasijević, N. Dučić, R. Radiša, Unapređenje tehnologije livenja nosača zuba bagera vedričara, Tehničko rešenje, korisnik: Koncern „Farmakom MB“, Induistrijski kombinat „Guča“ A.D., Guča, Prihvaćeno od Naučno-nastavnog veća Fakulteta tehničkih nauka u Čačku, Univerziteta u Kragujevcu, 2015