Albert Yongjoon Chung

Poster: A Multi-Drone Platform for Empowering Drones' Teamwork

The rapid development of UAV technology has opened up numerous applications. Further, cooperating drones\footnote{In this paper, we refer to all types of UAVs as drones.} possess a great potential in various areas of applications. Yet, there has not been a platform for a fleet of drones. It is rather difficult to control multiple drones through a single ground control station. In fact, drones need to consistently exchange flight information to maintain the formation of the fleet and follow the commands given from the GCS. Thus, drones need a robust network established among the fleet to provide a fleet control. In this paper, we propose Net-Drone, a multi-drone platform for applications that require cooperation of multiple drones. Net-Drone is equipped with strong network functionalities to provide a control system for a fleet of drones. Through case studies conducted with a prototype implementation, the proposed system is demonstrated. Video of the conducted case study can be found in http://youtu.be/lFaWsEmiQvw.

Constructing a reliable and fast recoverable network for drones

In recent years, due to the technological development of various kinds of drones, also known as unmanned aerial vehicles (UAVs), drones have emerged as an effective solution for a wide area of applications. In such applications, employing multiple drones promises a better way to carry out a given mission than employing a single drone. To utilize multiple drones, all drones should establish a network that can provide connectivity among themselves. In this paper, we propose GCS-routing, a routing protocol for multiple drones employed by a ground control system (GCS). GCS-routing utilizes the information of drones that can be obtained from GCS, such as geographic information and per-drone flight schedules. The actual implementation of GCS-routing was applied to a fleet of drones, and evaluated in various aspects.

Empowering Drones’ Teamwork with Airborne Network

We propose a unified platform for multiple unmanned aerial vehicles (UAV). Recently, the UAV technology has seen a great development. However, the capability of single drone is yet limited by its physical features. To better enhance the capability of drones, we have devised and implemented a fleet based multi-UAV platform. Our proposed platform consists of powerful network functions and enhanced control and sensing algorithms, so that a unified fleet control can be accomplished. Further, it provides a platform for applications that require multiple UAVs working together. The network functions of the proposed platform achieves a strong connectivity and robustness, and a precise relative and absolute localization enables a fleet based control system. With the help of core modules, the proposed platform achieves a well controlled fleet flight and network management.

Integrated approach of streaming 3d multimedia contents in real-time for mobile devices

It is popular to watch a 3D video through a 3D display nowadays. However, it is still difficult to enjoy the 3D multimedia contents with a mobile device even if a mobile device with a 3D display is currently introduced into the market. The main technological challenges for watching 3D contents via the mobile devices can be identified as the following: generating and streaming 3D contents. Generating 3D contents requires extra computational resources. Moreover, streaming 3D contents demands additional network bandwidth for receiving and transmitting the 3D data. To overcome these technological challenges, we propose ReMA, a novel 3D video streaming system in this paper. We devised a novel architecture for transmitter, receiver, and a distribution system to efficiently disseminate and generate 3D videos for the mobile devices. We implemented ReMA in a real test-bed and conducted a thorough empirical evaluation study to see the feasibility of streaming 3D contents for the mobile devices. Based on our empirical study, the resulting system presents a great promise in streaming 3D video in real-time to the mobile devices.

Network Performance Isolation Scheme for QoE in a mobile device

Todays smartphones and tablet PCs are equipped with various sensor units and wireless capabilities along with high performance computing units, which make these mobile devices capable of providing a wide range of services. Because of such characteristics, mobile devices consume more network traffic and frequently use multiple Internet services at the same time. The performance degradation of a foreground service happens frequently due to concurrently running background services in a mobile device. In this paper, we propose NetPIS, Network Performance Isolation Scheme for QoE, which resolves the aforementioned problem by applying the concept of performance isolation to the foreground service. NetPIS is the receiver-based scheme suitable for mobile devices without any modification on senders. Furthermore, unlike most performance isolation implemented by virtual machines, we suggest a scheme that does not require virtualization that might be heavy for mobile devices. The proposed scheme was implemented on a smartphone by modifying the kernel, and various experiments were conducted to evaluate the advanced system behavior of NetPIS.

D-mago: A novel visual entity for storing emotional feeling with visual imprint

Many users want to preserve their visual record of the moment that they want to commemorate. Nonetheless, it is still challenging to remember the actual emotional feeling for that moment even by looking at the old picture. There are methods such as to tag or hide the message within the image. However, tradeoffs exist by attaching additional data for the former method and the quality of the image is degraded for the latter one. It is difficult to avoid these two tradeoffs. In this paper, we propose D-mago to preserve the moment to remember as an image, which is consists of the visual information and the emotional feeling without binding extra data or degrading the quality of the image. To further verify the benefit of our proposed algorithm, we conducted series of evaluation studies to see the effectiveness of the proposed scheme. The results indicate that D-mago overcomes the preceding tradeoffPs by maintaining PSNR above 40 dB.