Youhao W.

● Build PHP Script on AWS Server and implemented Alamofire and SwiftyJSON Pods to get data from AWS servers.
● Constructed SlideMenuController to switch different scene and TabBarController to switch different view.
● Used PickerView, searchBar to achieve filter and search function, and Used Page Segue to transfer with detail page.
● Applied Coredata UserDefault to achieve favorites list function and applied Edit Button in favorite list to add and remove. ● Combined Facebook SDK, Gmail… Show more

● Build PHP Script on AWS Server and implemented Alamofire and SwiftyJSON Pods to get data from AWS servers.
● Constructed SlideMenuController to switch different scene and TabBarController to switch different view.
● Used PickerView, searchBar to achieve filter and search function, and Used Page Segue to transfer with detail page.
● Applied Coredata UserDefault to achieve favorites list function and applied Edit Button in favorite list to add and remove. ● Combined Facebook SDK, Gmail API and UIActivityViewController to share the content to different social platform. Show less

● Implemented Bootstrap to achieve HTML and CSS-based page front-end design and responsive behavior of Iphone and Ipad.
● Constructed the web server using PHP on Google App Engine to achieve interaction with Sunlight Congress API.
● Used AJAX-JQuery code to parse returned JSON data and used HTML5 Local Storage to maintain the favorite list.
● Applied AngularJS to achieve the functions like pagination, filters, page slide and progress bar.

● Developed client, AWS server and 3 back server model to simulate cloud-computing of large data on UNIX.
● Established Stream Sockets to communicate large data, computing mode and final result between client and AWS Servers.
● Conducted the distribution of data on AWS and built Datagram Sockets to make communications to different back servers.
● Computed data on different back servers to accelerate calculation and sent back results to AWS through UDP connection.

● Implemented HTML and CSS to imitate a commercial web page.
● Used the DOM paradigm and XML parser in JavaScript to transform URL of XML document to HTML page.
● Constructed the web page using PHP and Congress Database to search congress information and parse JSON-formatted data to convert them to table.

● Analyzed and compared different methods of obtaining 3D face data using Kinect SDK, selected depth map + color and three-dimensional reconstruction to construct comprising expression, light and other factors face database
● Detected and extracted the face using Haar classifier and normalized, conducted grayscale and edge smoothing means pretreatment on the extracted images based on OpenCV.
● Employed PCA, LDA, LBP, three face recognition algorithm on C++ to recognize face and optimized… Show more

● Analyzed and compared different methods of obtaining 3D face data using Kinect SDK, selected depth map + color and three-dimensional reconstruction to construct comprising expression, light and other factors face database
● Detected and extracted the face using Haar classifier and normalized, conducted grayscale and edge smoothing means pretreatment on the extracted images based on OpenCV.
● Employed PCA, LDA, LBP, three face recognition algorithm on C++ to recognize face and optimized algorithm accuracy.
● Developed the facial recognition software based on QT platform. Show less

1. Extended the study of gossip-based information spreading algorithm from single to multiplex networks and analyzed the effect of multiplex structure on information spreading in multiplex networks
2.  Collected and processed real large-scale data sets from different social platforms and optimized the algorithm in terms of both time and space complexities on the basis of real data sets
3.  Conducted simulation on real data sets with factors of layer similarity and layer number using… Show more

1. Extended the study of gossip-based information spreading algorithm from single to multiplex networks and analyzed the effect of multiplex structure on information spreading in multiplex networks
2.  Collected and processed real large-scale data sets from different social platforms and optimized the algorithm in terms of both time and space complexities on the basis of real data sets
3.  Conducted simulation on real data sets with factors of layer similarity and layer number using MATLAB and concluded that increasing number of layers and decreasing layer similarity will make spreading faster
4.  Awarded the Outstanding Accomplishments and Contributions in 2015 North Carolina State University Summer Undergraduate Research Symposium
Show less

1. Developed smart phone controlled model car which can identify the road using phone camera and run along the track
2.  Designed Android APP to employ human–machine interaction to monitor the track and set the debugging parameters
3.  Implemented microcontroller K60 as the car’s control core and PID algorithm to control the motion of the car and applied Bluetooth to transmit instructions and feedback between the smart phone and the microcontroller K60
4. Replaced a low-resolution… Show more

1. Developed smart phone controlled model car which can identify the road using phone camera and run along the track
2.  Designed Android APP to employ human–machine interaction to monitor the track and set the debugging parameters
3.  Implemented microcontroller K60 as the car’s control core and PID algorithm to control the motion of the car and applied Bluetooth to transmit instructions and feedback between the smart phone and the microcontroller K60
4. Replaced a low-resolution camera and an inefficient microcontroller with a high-performance smartphone innovatively
Show less