Käyttäjän ifriends710 profiilikuva
@ifriends710
Maan China lippu Dandong, China
Jäsen alkaen 23. maaliskuuta 2013
19 Suositukset

ifriends710

Online-tilassa Offline-tilassa
Thank you for considering my profile. Here is one of the reviews from my clients. - Excellent developer. Fast, responsive and super impressive results - You can consider my skills here. ✔︎ Native iOS and Android app (Swift, Objective-C, Java, Kotlin) for 7+ years ✔︎ Hybrid Mobile app (React Native, ReactJS, Native Script) for 2+ years ✔︎ Web development (PHP, NodeJS, C#, ReactJS, AngularJS) for backend and frontend for 4+ years ✔︎ GIS web/desktop/mobile app (Google Map, OSM, MapBox, ArcGIS and many more) for 10+ years And here are my work styles. ✽ Regard your requirements as the main rule. ✽ Help you finish the requirements with my creativity and expert. ✽ Can response you anytime with fluent English. ✽ Crazy in coding quality and perfection. ✽ Support the maintenance of the product after completion. ✽ Provide technical consultant ✽ Familiar with team development as well Looking forward to working with you and good luck with your project.
$40 USD/hr
177 arvostelua
8.5
  • 96%Suoritetut työtehtävät
  • 97%Budjetin mukaisesti
  • 100%Ajallaan
  • 25%Uudelleenpalkkaamisaste

Portfolio

Viimeaikaiset arvostelut

Kokemus

Iphone Developer

Mar 2009 - Jan 2013 (3 years)

I devloped BillBoard(utility app),CloudRider(game) in six month. And I joined the research of Computer Vision.

Mobile Developer/Team Lead

Jul 2007 - Jan 2009 (1 year)

Koulutus

bachelors

2002 - 2006 (4 years)

Pätevyydet

C++ Fundamentals (2010)

Brainbench

Julkaisut

A new edge detection algorithm for flame image processing

Digital image processing is playing an increasingly important part in imaging based flame monitoring systems. A crucial step in flame image processing is to detect the flame edge, a dividing boundary between the area where there is thermo- chemical reaction and those without. The determination of flame edges is a precursor to flame image processing and measurement of flame parameters. Several known edge detection methods have been tested to identify flame edges but the results achieved are disappointing.

Todistukset

  • Numeracy 1
    98%
  • Preferred Freelancer Program SLA
    89%
  • Objective C Level 1
    83%
  • iPhone Development 1
    80%
  • US English Level 2
    78%

Varmennukset

  • Facebook yhdistetty
  • Suositeltu freelancer
  • Maksutapa varmennettu
  • Puhelin varmennettu
  • Henkilöllisyys varmennettu
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