Изображение профиля ifriends710
@ifriends710
Флаг China Dandong, China
На сайте с 23 марта 2013 г.
19 Рекомендации

ifriends710

Онлайн Офлайн
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 отзыва(-ов)
8.5
  • 96%Выполненные работы
  • 97%В рамках бюджета
  • 100%Своевременность
  • 25%Рейтинг повторного найма

Портфолио

Последние отзывы

Опыт работы

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)

Образование

bachelors

2002 - 2006 (4 years)

Квалификация

C++ Fundamentals (2010)

Brainbench

Публикации

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.

Сертификаты

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

Верификации

  • Соединить с Facebook
  • Предпочтительный фрилансер
  • Оплата подтверждена
  • Телефон верифицирован
  • Личность подтверждена
  • Электронный адрес подтвержден

Мои топ-навыки

Искать похожих фрилансеров