02649nmm a2200301 a 4500 vtls000100085 KUKTEM 20251117113337.0 170511s2016 my fq d 001 0 eng d THE0005155(Local) 201905131747 hanafiah 201712261119 nazri 201705111111 saini 201705111106 saini UMP FKEE .L44 2016 r Bc. CD 10734 Lee, Clement Yuon Sien Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm [electronic resource] / Clement Lee Yuon Sien Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Electrical & Electronics Engineering Project Paper (Bachelor of Electrical Engineering (Hons) (Power Systems)) -- Universiti Malaysia Pahang – 2016 Bibliography : p. 48-49 Nowadays, there various fresh milk and processed milk is being produced from various diary industries in Malaysia. However, the authenticities of the milk freshness are facing difficulties in order to detect unless they are tested in dedicated well-conditioned laboratory. Instead of chemical analysis method for milk freshness detection, there is an electronic device can be used to complement the method. As the milk has physical properties, and very similar in odor to each other, Electronic Nose (E-Nose), a combination of an array of gas sensors with pattern recognition is one of the important instruments that can be used to classify them. E-Nose was developed through a combination of hardware and software designed based on the relevance of the material being tested and some of the factors that improve the effectiveness of the E-Nose. Hardware development of E-Nose included chamber building process and the electrical wiring of Arduino Mega Board and the components. Software development of E-Nose included Arduino software, Microsoft Excel, Matlab, Solidwork and Proteus ISIS. By the end of this project, the ENose was able to intelligently classify the dairy product based on the odor profile by applying Intelligent Classification using Case-Based Reasoning Method with 100% rate of accuracy, specificity and specificity. Faculty of Electrical and Electronics Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/25761 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKEE .L44 2016 r Bc. | CD 10734 0000117750 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 7081 7087 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992