26 research outputs found

    Editorial for Vol.30, No.4

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    The December 2022 issue (Vol. 30, No. 4) of CIT. Journal of Computing and Information Technology brings five papers from the areas of error detection and prediction in transformers, vehicle detection in traffic, visual navigation for mobile robots, and natural language processing

    Editorial for Vol.30, No.3

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    The September 2022 issue (Vol. 30, No. 3) of CIT. Journal of Computing and Information Technology brings four papers from the areas of edge computing, financial risk prediction, power demand forecasting, and natural language processing

    Editorial for Vol.30, No.2

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    The June 2022 issue (Vol. 30, No. 2) of CIT. Journal of Computing and Information Technology brings four papers from the areas of network security, natural language processing, intelligent control systems, and software engineering

    Editorial for Vol.31, No.1

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    With the March 2023 (Vol. 31, No. 1) issue, CIT. Journal of Computing and Information Technology enters its 31st year of continuous publishing. The current issue brings four papers from the areas of machine vision, image analysis, natural language processing and mental health modeling

    Editorial for Vol.30, No.1

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    This March 2022 issue (Vol. 30, No. 1) of CIT. Journal of Computing and Information Technology brings four papers from the areas of machine learning, risk prediction, anomaly detection, and social networks

    Kontrola kvalitete automatizirane obročne proizvodnje upotrebom proŔirene teselacijske entropije procesnih signala

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    Prikazuje se postupak konstruiranja grafa zvanog impaktogram koji pokazuje suodnos između kodnih znakova svih mjernih mjesta signala kontrole kvalitete i kodnog znaka varijable izlazne kontrole kvalitete za svaki mjerni trenutak praćenja procesnih signala. Daje se postupak tumačenja rezultata impaktograma za proces kontrole kvalitete proizvodnje keramičkih pločica pod pretpostavkom ugođenosti strojeva

    Heptathlon evaluation model using Grey system theory

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    U ovom radu istražujemo djelotvornost teorije Sivih sustava za utvrđivanje redoslijeda najboljih atletičarki u sedmoboju. Postojeća metoda bodovanja u ženskom sedmoboju treba alternativni način bodovanja jer pokazuje neprihvatljivu pristranost prema nekim atletskim disciplinama dok druge zanemaruje. Izraz Sivi znači neÅ”to siromaÅ”no, nepotpuno i neizvjesno, i posebno se odnosi na informaciju o sustavu. Sivi relacijski stupanj dobiven Sivom teorijom koristi se za uspostavu cjelokupnog i točnog modela za utvrđivanje redoslijeda sedmobojki. Predložena metoda bodovanja je točna i pokazano poboljÅ”ava pravednost i ispravnost rezultata ženskog sedmoboja.In this paper we investigate the effectiveness of the Grey system theory to determine the ranking of the best women athletes in heptathlon. The scoring method currently used in women\u27s heptathlon needs alternative scoring as it displays unacceptable bias towards some athletic disciplines while deferring others. The term Grey stands for poor, incomplete and uncertain, and is especially related to the information about the system. The Grey relational grade deduced by the Grey theory is used to establish a complete and accurate model for determining the ranking of the heptathletes. The proposed scoring method is accurate and is shown to improve fairness and results\u27 validity in women\u27s heptathlon

    An energy efficient corn grains drying process

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    Ovaj rad analizira metodu suÅ”enja zrna kukuruza laserskim zračenjem u laboratorijskim uvjetima i prijenos energije tijekom procesa. Predložena metoda suÅ”enja omogućuje brzo i učinkovito smanjenje vlažnosti zrna pri čemu ne dolazi do oÅ”tećenja reproduktivnog dijela zrna. Elementarni (tanki) sloj zrna tretiran je laserskom svjetloŔću snage 10 kW/m2 i 20 kW/m2. Zrna kukuruza osvjetljivana su s jedne strane tijekom 30 sekundi sa 100 mW laserom valne duljine 655 nm i 200 mW laserom valne duljine 660 nm. Postupak suÅ”enja laserskim zračenjem pokazuje veći prijenos energije u odnosu na klasični postupak suÅ”enja koriÅ”tenjem vrućeg zraka. UÅ”tede u potroÅ”nji energije ostvarene u laboratorijskim uvjetima u odnosu na klasični način suÅ”enja zagrijanim zrakom, iznosile su između 23,56 i 58,70 % (100 mW laser) i 10,62 % (200 mW laser), ovisno o vlažnosti zrnatog materijala. Snižavanjem vlage materijala doÅ”lo je do smanjenja količina energije potrebne za suÅ”enje.A laboratory laser beam drying method for corn grain kernels is presented and the corresponding energy transfer is analysed. The proposed drying method enables fast and efficient decrease in grain humidity while preserving grain sprouting. Laser beam was directed to the thin grain layer with powers of 10 kW/m2 and 20 kW/m2. Grains were illuminated from one side during a period of 30 s with 100 mW, 655 nm and 200 mW, 660 nm collimated laser beam. The method exhibits at least an order of magnitude higher energy transfer compared to the classical drying method that uses hot air as drying medium. The energy savings increase, compared to classical hot air drying, both in laboratory conditions, was between 23,56 and 58,70 % (100 mW laser) and 10,62 % (200 mW laser), depending on grain wet basis and decreasing with decrease of moisture content

    An energy efficient corn grains drying process

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    Ovaj rad analizira metodu suÅ”enja zrna kukuruza laserskim zračenjem u laboratorijskim uvjetima i prijenos energije tijekom procesa. Predložena metoda suÅ”enja omogućuje brzo i učinkovito smanjenje vlažnosti zrna pri čemu ne dolazi do oÅ”tećenja reproduktivnog dijela zrna. Elementarni (tanki) sloj zrna tretiran je laserskom svjetloŔću snage 10 kW/m2 i 20 kW/m2. Zrna kukuruza osvjetljivana su s jedne strane tijekom 30 sekundi sa 100 mW laserom valne duljine 655 nm i 200 mW laserom valne duljine 660 nm. Postupak suÅ”enja laserskim zračenjem pokazuje veći prijenos energije u odnosu na klasični postupak suÅ”enja koriÅ”tenjem vrućeg zraka. UÅ”tede u potroÅ”nji energije ostvarene u laboratorijskim uvjetima u odnosu na klasični način suÅ”enja zagrijanim zrakom, iznosile su između 23,56 i 58,70 % (100 mW laser) i 10,62 % (200 mW laser), ovisno o vlažnosti zrnatog materijala. Snižavanjem vlage materijala doÅ”lo je do smanjenja količina energije potrebne za suÅ”enje.A laboratory laser beam drying method for corn grain kernels is presented and the corresponding energy transfer is analysed. The proposed drying method enables fast and efficient decrease in grain humidity while preserving grain sprouting. Laser beam was directed to the thin grain layer with powers of 10 kW/m2 and 20 kW/m2. Grains were illuminated from one side during a period of 30 s with 100 mW, 655 nm and 200 mW, 660 nm collimated laser beam. The method exhibits at least an order of magnitude higher energy transfer compared to the classical drying method that uses hot air as drying medium. The energy savings increase, compared to classical hot air drying, both in laboratory conditions, was between 23,56 and 58,70 % (100 mW laser) and 10,62 % (200 mW laser), depending on grain wet basis and decreasing with decrease of moisture content

    Undergraduate Grade Point Average is a Poor Predictor of Scientific Productivity Later in Career

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    The aim of this study was to investigate the usefulness of the undergraduate grade point average in prediction of scientific production of research trainees during their fellowship and later in career. The study was performed in 1,320 research trainees whose fellowships from the Croatian Ministry of Science, Education and Sports were terminated between 1999 and 2005. The data were analyzed using logistic regression. The results indicated that undergraduate grade point average was negatively associated with scientific productivity both during and after the fellowship termination. Other indicators, such as undergraduate scientific productivity exhibited much stronger positive association with scientific productivity later in career and should be given more weight in candidate selection process in science and research
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