LAUSR

This paper expounds a development software for the identification of lightning discharge in cloud-to-ground flashes. The study was to reduce a misleading detection of the electric field radiation of a lightning discharge profile by considering the important parameters of sub microseconds structure of lightning return stroke. The software was built-in MATLAB. The development of the software considered the important parameter of return strokes such as peak value, zero crossing, rising time and fast transition time. We used a modelling technique for training and patterning the 19 return stroke from electric radiation field generated by the negative cloud-ground lightning flashes recorded in Universiti Teknikal Malaysia Melaka. The 19 return strokes data were recorded by using Lecroy HDO4024 with 5 MS/s. The results showed that the software had the ability to recognize the lightning parameters such as peak value, zero crossing, rising time and fast transition time. In conclusion, the software was able solved the uncertainty of the unknown cloud-to-ground lightning flashes parameter. This paper expounds a programmed development software for the used to do identification of the characteristi cs o o f the lightning d is charge either in cloud -to - and ground flashes cloud and ground flashes of the lightning strikes . Th e study was to reduc e e a m is leadi ng detection of the electric field radiation of a lightning d is charge profile by considering the important pa ra meters o f sub microseconds structure of lightning return stroke . programmed should resolved the problem of unidentified signal o f lightning strikes. The softw are was built-in MATLAB . The development of the softw are considered the important parameter of return stroke s such as peak value, software to recognize t he pattern of the lightning strikes of cloud-to-gr ound flashes or cloud-to-cloud flashes by determining the multiple parameters suc h as zero crossing, rising time and fast transition time. MAKLUMKAN KAEDAH YG “MUNGKIN” MELIBATKAN TRAIN BEBERAPA DATA CTH — We used a modelling technique A for training and patterning the 19 return stroke from electric radiation field generated by the negative cloud - ground lightning flashes recorded in Universiti Teknikal Malaysia Melaka . The 19 return strokes data were recorded by using Lec r oy HDO4024 with 5 MS/s. First, the lightning pattern is described, then the programmed was tested to recognize all the parameters to identify the types of the lightning strikes. The results show ed s th at the e software had the ability to recognize the lightning parameters such as peak value, zero crossing, rising time and fast transition time. In conclusion, t he softw are was able solve d the uncertainty of the unknown cloud - to - ground unknown lightning flas hes parameter. At last, some suggestions are given to improve the system for future research. Masukan Brief of conclusion…. Normal 0 false false false MS X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-ansi-language:MS; mso-fareast-language:MS;}