Chang Sung Jeong

A straight line detection using principal component analysis

A straight line detection algorithm is presented. The algorithm separates row and column edges from edge image using their primitive shapes. The edges are labeled, and the principal component analysis (PCA) is performed for each labeled edges. With the principal components, the algorithm detects straight lines and their orientations, which is useful for various intensive applications. Our algorithm overcomes the disadvantages of Hough transform (HT) and other algorithms, i.e. unknown grouping of collinear lines, complexity and local ambiguities. The experimental results show the efficiency of our algorithm.

Real-Time Signal Light Detection

One of most important issue in research for unmanned ground vehicle is detecting signal lights at crossroads. This paper presents new algorithm for signal light detection. It has high detection rate with real time and fast processing at low price. Experimental environment is built in real vehicle and real urban road, and we shall show that the proposed algorithm realizes driving with reliability in unmanned ground vehicle.

Unified Ubiquitous Middleware for U-City

In this paper, we introduce an unified ubiquitous middleware which supports an infrastructure to provide the ubiquitous convergence services by providing not only dynamic service discovery based on context-awareness but also variety of converged services in three applications such as environment management, traffic accident management and underground fire accident management. It is composed of three layers which support the unified efficient ubiquitous computing: context-aware computing layer(framework), ubiquitous core computing layer (framework), common interface layer(framework). Therefore, It has the multilayered architecture which makes applications or services used everywhere by providing the cooperative interacting computing environment among the layers. It can provide modularity and expansibility through the design of multi-hierarchical structure, and reduces complicatedness of the system and increases reusability and flexibility of components.

An Area-Based Stereo Matching Using Adaptive Search Range and Window Size

In area-based stereo matching algorithm, the proper determination of search range and window size are two important factors to improve the overall performance of the algorithm. In this paper we present a novel technique for area-based stereo matching algorithm which provides more accurate and error-prone matching capabilities by using adaptive search range and window size. We propose two new strategies (1) for determining search range adaptively from the disparity map and multiresolutional images of region segments obtained by applying feature-based algorithm, and (2) for changing the window size adaptively according to the edge information derived from the wavelet transform such that the combination of two adaptive methods in search range and window size greatly enhances accuracy while reducing errors. We test our matching algorithms for various types of images, and shall show the outperformance of our stereo matching algorithm.

Cloud-based active content collaboration platform using multimedia processing

In this article, a new content-centric collaboration platform called active content collaboration platform which supports automated content-centric collaboration on cloud system is presented. It supports event-driven automatic collaboration by specifying each active work based on active work description language and automating the execution of collaborative task flow composed of active works. It supports a modularized and extensible architecture by making its components in separate modules. Also, it provides a scalable high-performance architecture by supporting multi-level active work processing in active work execution engine, and allocating virtual machines for the computation intensive high-level action such as volume rendering through auto-scalable allocation on cloud system. For the experiment and evaluation, we shall show the results of implementing the collaborative medical application on our system where computation intensive application like a volume rendering is used for MRI analysis.

An extensible framework for advanced distributed virtual environment on grid

This paper describes a new framework for Grid-enabled advanced DVE (Distributed Virtual Environment) which provides a dynamic execution environment by supporting discovery and configuration of resources, mechanism of security, efficient data management and distribution. While the previous DVEs have provided static execution environment only considering communication functions and efficient application performance, the proposed framework adds resource, security management, extended data management to static execution environment using Grid services, and then brings dynamic execution environment which result in QoS (Quality of Service) enhanced environment better performance.The framework consists of two components: Grid-dependent component and Communication-dependent component. Grid-dependent component includes RM (Resource Manager), SDM (Static Data Manager), DDM (Dynamic Data Manager), SYM (Security Manager). Communication-dependent component is composed of SNM (Session Manager) and OM (Object Manager). The components enhance performance and scalability through the DVEs reconfiguration considering resources, and provides mutual authentication mechanism of both servers and clients for protection of resources, application and user data. Moreover, effective data management reduces overhead and network latency by data transmission and replication.

Grid-Based Parallel and Distributed Simulation Environment

Although parallel and distributed computing for a large-scale simulation has many advantages in speed and efficiency, it is difficult for parallel and distributed application to achieve its expected performance, because of some obstacles such as deficient computing powers, weakness in fault and security problem. Motivated by these concerns, we present a Grid-based Parallel and Distributed Simulation environment(GPDS) which not only addresses the problems but also supports transparency and scalability using Grid technologies. GPDS supports a 3-tier architecture which consists of clients at front end, interaction server at the middle, and a network of computing resources at back-end. Grid and simulation agents in the interaction server enables client to transparently perform a large-scale object-oriented simulation by automatically distributing the relevant simulation objects among the computing resources while supporting scalability and fault tolerance by load balancing and dynamic migration schemes.

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Recently, fusion speed has emerged as an important factor in the image fusion and a substantial amount of memory and computing power are required for a high-speed fusion. This paper shows approaches to accelerate multi-scale image fusion speed on GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The GPU has evolved into a very powerful and flexible streaming processor, which provides a good computational power and memory bandwidth. We implement the multi-scale image fusion algorithms using CUDA software platform of the latest version of GPU and theirs fusion speeds are compared and evaluated with implementation in Core2 Quad processor with 2.4GHz. The GPU version achieved a speedup of 6x-8x over the CPU version.

Acceleration technique for volume rendering using 2D texture based ray plane casting on GPU

In this paper, we present a very fast new GPU-based algorithm for volume rendering using the ray plane casting technique. It consists of preprocessing and main processing. In preprocessing, we reduce the waste of memory and produce the texture data which can be efficiently traversed concurrently in main processing by converting the volume data into a 2D texture of square shape in the frame buffer. In main processing, the ray plane casting and resampling are implemented by fragment programming which makes the efficient use of GPUs high performance. Early termination and space leaping have been used as acceleration techniques during the calculation of color and opacity in the fragment program on GPU using stencil and depth tests on GPU. We shall show that our GPU-based algorithm is much faster than CPU-based by the efficient fragment programming techniques used for ray plane interpolation, resampling and acceleration techniques

Cloud infrastructure for ubiquitous M2M and IoT environment mobile application

The demand for ubiquitous mobile application on cloud computing platform is increasing due to the rapid advancement of cloud technology. In this paper, we shall present a new architecture for ubiquitous computing environment on cloud computing platform for mobile application. Our system provides a combined architecture of ubiquitous and cloud computing which supports a powerful framework for mobile applications which requires high performance. It is composed of three layers: cloud service layer (CSL), machine to machine (M2M) service layer (MSL) and ubiquitous service layer. CSL provides an agent based processing platform for executing various distributed models, and offers on-demand VM allocation for dynamic execution of mobile processes. Also, CSL offers cloud infrastructure controller which supports a unified interface for various cloud infrastructure via cloud infrastructure interface so that mobile applications may be launched on any cloud environment. MSL is the development of the M2M and IoT open up all types of service motivated opportunities, sending increased efficiencies, well customer value and improved quality of mobile application environment. Also, we describe a software mobility model in terms of state transition and performance parameters for response time, dynamic migration, and loss ratio on cloud computing environment for mobile applications, and the experimental results show that the computation intensive cloud infrastructure on ubiquitous environment mobile applications can be executed efficiently.