Seung-Hyung Lee

A comprehensive middleware architecture for context-aware ubiquitous computing systems

Ubiquitous computing is viewed as a computing paradigm where minimal user intervention is necessitated emphasizing detection of environmental conditions and user behaviors in order to maximize user experience. Context-awareness plays vital role in achieving such user-centered ubiquity. In this paper, we describe the desired characteristics of a middleware for context-aware ubiquitous computing. Four key issues are addressed: unified sensing framework, formal modeling and representation of the real world, pluggable reasoning engines for high-level contexts, and response to the real world. Our implementation experience indicates that a comprehensive approach throughout the system layers results in a flexible and reusable middleware framework.

Requirement Analysis for Aspect-Oriented System Development

Recently the software system is becoming little by little complexity termination. Aspect-oriented Programming is support a crosscutting concern. Crosscutting concerns are responsible for producing scattered and tangled representations those are difficult to maintain and evolve. Aspect-Oriented Software Development aims at providing means to identify, modularize, specify and compose crosscutting concerns. Requirements engineering techniques that explicitly recognize the importance of clearly identifying and treating crosscutting concerns are called Aspect-oriented Requirements Engineering Approaches. Aspect-oriented requirements engineering approaches improve existing requirements engineering approaches through an explicit representation and modularization of concerns that were otherwise spread throughout other requirements. Aspect-oriented requirements engineering approaches adopt the principle of separation of concerns at the analysis phase. This approach provides a representation of crosscutting concerns in requirements artifacts.

System Optimization Technique using Crosscutting Concern

The system optimization is a technique that changes the structure of the program in order to extract the duplicated modules without changing the source code, reuse of the extracted module. Structure-oriented development and object-oriented development are efficient at crosscutting concern modular, however can’t be modular of crosscutting concept. To apply the crosscutting concept in an existing system, there is a need to a extracting technique for distributed system optimization module within the system. This paper proposes a method for extracting the redundant modules in the completed system. The proposed method extracts elements that overlap over a source code analysis to analyze the data dependency and control dependency. The extracted redundant element is used to program dependency analysis for the system optimization. Duplicated dependency analysis result is converted into a control flow graph, it is possible to produce a minimum crosscutting module. The element extracted by dependency analysis proposes a system optimization method which minimizes the duplicated code within system by setting the crosscutting concern module.

Face Authentication using Multi-radius LBP Matching of Individual Major Blocks in Mobile Environment

In this paper, we propose a novel face authentication method based on LBP matching of individual major blocks in mobile environment. In order to construct individual major blocks from photos, we find the blocks that have the highest similarity and use different numbers of blocks depending on the probability distribution by applying threshold. And, we use multi-radius LBP histograms in the determination of individual major blocks to improve performance of generic LBP histogram based approach. By using the multi-radius LBP histograms in face authentication, we can successfully reduce the false acceptance rate compare to the previous methods. Also, we can see that the proposed method shows low error rate about 7.72% compare to the pervious method in spite of use small number of blocks about 44.59% only.

Aspect Oriented Software Development Using Requirement Engineering

This paper focuses on applying aspect-oriented software development (AOSD) concepts beyond the programming stage of the software development life cycle. Using concrete method and techniques we discuss how to use AOSD techniques to systematically treat crosscutting concerns during requirements engineering, architecture design and detailed design as well as the mapping between aspects at these stages. Using the proposed process, goes over a programming step from software development life cycle and the method will be able to apply an aspect-oriented software development concept from requirement analysis phase proposes. The aspect-oriented development method which applies from requirement analysis phase will lead and will be able to develop a software development environment more.

Aspect Mining Process Design Using Abstract Syntax Tree

Aspect-oriented programming is the paradigm which extracts crosscutting concern from a system and solves scattering of a function and confusion of a code through software modularization. Existing aspect developing method has a difficult to extract a target area, so it is not easy to apply aspect mining. In an aspect minning, it is necessary a technique that convert existing program refactoring elements to crosscutting area. In the paper, it is suggested an aspect mining technique for extracting crosscutting concern in a system. Using abstract syntax structure specification, extract functional duplicated relation elements. Through Apriori algorithm, it is possible to create a duplicated syntax tree and automatic creation and optimization of a duplicated source module, target of crosscutting area. As a result of applying module of Berkeley Yacc(berbose.c) to mining process, it is confirmed that the length and volume of program has been decreased of 9.47% compared with original module, and it has been decreased of 4.92% in length and 5.11% in volume compared with CCFinder.

AST Creating and Crosscutting Concern Weaving Mechanism for Class Optimization in .NET Framework

The enterprise system is becoming more complex and larger. With the changes of the times, the system is developing to object-oriented programming method(OOP). However, the same code inserts to the core class repetitiously in the OOP, that causes a decrease in productivity and a trouble of application of another requirement. To solve this weak point, we propose a weaving mechanism what applies to metadata and crosscutting concern. For a class optimization and an integration between different languages, we take the following way. This paper uses three ways, those are, metadata generation using reflection, transformation to Abstract Syntax Tree, and mapping through crosscutting information specified XML. Through the proposed theory, class optimization can be accomplished by solving a functional decentralization and a confusion of codes.