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Št. zadetkov: 5
Overview of the popular image techniques and services in biomedicine
Olga Malgina, Ivan Kvasić, Jurij F. Tasič
Izvirni znanstveni članek
Oznake: medicinske slike;slikovna diagnostika;
Leto: 2010 Vir: dLib.si Digitalna knjižnica Slovenije
Vapour trace detection of explosives using surface-functionalized MEMS capacitive sensors and miniature CMOS electronics
Drago Strle, Bogdan Štefane, Uroš Nahtigal, Erik Zupanič, Franc Požgan, Ivan Kvasić, Marijan Maček, Igor Muševič
Objavljeni znanstveni prispevek na konferenci
Oznake: eksplozivne pare;zaznavanje;CMOS;MEMS;explosive traces;detection;CMOS;MEMS;
Leto: 2011 Vir: Repozitorij Univerze v Ljubljani (RUL)
Sensitivity comparison of vapor trace detection of explosives based on chemo-mechanical sensing with optical detection and capacitive sensing with electronic detection
Drago Strle, Bogdan Štefane, Erik Zupanič, Mario Trifković, Marijan Maček, Gregor Jakša, Ivan Kvasić, Igor Muševič
Izvirni znanstveni članek
Oznake: meritve majhnih kapacitivnosti;detekcija par TNT;kemijska modifikacija;senzorji plinov;MEMS senzorji;detekcija sledi par;small capacitance measurements;TNT vapor trace detection;chemical modifications;gas sensors;micro electro mechanical systems sensors;vapor trace detection;
The article offers a comparison of the sensitivities for vapour trace detection of Trinitrotoluene (TNT) explosives of two different sensor systems: a chemo-mechanical sensor based on chemically modified Atomic Force Microscope (AFM) cantilevers based on Micro Electro Mechanical System (MEMS) techno ...
Leto: 2014 Vir: Fakulteta za elektrotehniko (UL FE)
Chemical selectivity and sensitivity of a 16-channel electronic nose for trace vapour detection
Drago Strle, Bogdan Štefane, Mario Trifković, Marion Van Midden, Ivan Kvasić, Erik Zupanič, Igor Muševič
Izvirni znanstveni članek
Oznake: umetni nos;signalno procesiranje;sistem za zaznavanje sledov molekul;senzor plina;artificial nose;signal processing;vapour trace detection;gas sensor;
Good chemical selectivity of sensors for detecting vapour traces of targeted molecules is vital to reliable detection systems for explosives and other harmful materials. We present the design, construction and measurements of the electronic response of a 16 channel electronic nose based on 16 differ ...
Leto: 2017 Vir: Fakulteta za elektrotehniko (UL FE)
Improving the chemical selectivity of an electronic Nose to TNT, DNT and RDX using machine learning
Anton Gradišek, Marion Van Midden, Matija Koterle, Vid Prezelj, Drago Strle, Bogdan Štefane, Helena Brodnik Žugelj, Mario Trifković, Ivan Kvasić, Erik Zupanič, Igor Muševič
Izvirni znanstveni članek
Oznake: artificial nose;e-nose;electronic nose;detection of explosives;chemical selectivity of e-nose;arrays of sensors;machine learning and sensor arrays;
We used a 16-channel e-nose demonstrator based on micro-capacitive sensors with functionalized surfaces to measure the response of 30 different sensors to the vapours from 11 different substances, including the explosives 1,3,5-trinitro-1,3,5-triazinane (RDX), 1-methyl-2,4-dinitrobenzene (DNT) and 2 ...
Leto: 2019 Vir: Fakulteta za elektrotehniko (UL FE)
Št. zadetkov: 5
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