• 한국방재학회:학술대회논문집
• /
• 2009.02b
• /
• pp.68.2-68.2
• /
• 2009

• Proceedings of the KWS Conference
• /
• 2007.11a
• /
• pp.94-96
• /
• 2007

• Proceedings of the Materials Research Society of Korea Conference
• /
• 2006.05a
• /
• pp.26.2-26.2
• /
• 2006

• 한국가스학회:학술대회논문집
• /
• 2007.04a
• /
• pp.74-79
• /
• 2007

• Journal of KIISE:Software and Applications
• /
• v.30 no.1_2
• /
• pp.73-80
• /
• 2003

The Java programming language is designed for developing effective applications in a heterogeneous network environment. Major problem in Java is its performance. many attractive features of Java make the development of software easy, but also make it expensive to support ; applications written in Java are often much slower than their counterparts written in C or C++. To use Java`s attractive features without the performance penalty, sophisticated optimizations and runtime systems are required. Optimising Java bytecode has several advantages. First, the bytecode is independent of any compiler that is used to generate it. Second, the bytecode optimization can be performed as a pre=pass to Just-In-Time(JIT) compilation. Many attractive features of Java make the development of software easy, but also make it expensive to support. The goal of this work is to develop automatic construction of code optimizer for Java bytecode. We`ve designed and implemented a Bytecode Optimizer that performs the peephole optimization, bytecode-specific optimization, and method-inlining techniques. Using the Classfile optimizer, we see up to 9% improvement in speed and about 20% size reduction in Java class files, when compared to average code using the interpreter alone.

• Journal of Korean Society of Steel Construction
• /
• v.12 no.5 s.48
• /
• pp.503-513
• /
• 2000

This study treats the criteria, considering the fuzziness occurred by optimization design. And we applied two weighting methods to show the relative importance of criteria. This study develops multi-objective optimization programs implementing plain stress analysis by FEM and discrete optimization design uniformaly. The developed program performs a sample design of 10-member steel truss. This study can carry over the multi-objective optimization based on total system fuzzy-genetic algorithms while performing the stress analysis and optimization design. Especially, when general optimization with unreliable constraints is cannot be solve this study can make optimization design closed to realistic with fuzzy theory.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.6 s.44
• /
• pp.19-26
• /
• 2006

Redundant expressions must be eliminated in order to apply optimization for expressions in SSA Form from CTOC. This paper applied VN(Value Numbering) for this purpose. In order to carry out VN, SSAGraph must be first generated to maintain the information in the SSA Form, equivalent nodes must be found and SCC(Strongly Connected Component) generated. Equivalent nodes are assigned with an identical valnum through SCC. We could confirm elimiations for many nodes that added at SSA Form process after VN. The valnum can be applied in optimization and type inference.

• Journal of the Korean Society of Propulsion Engineers
• /
• v.16 no.1
• /
• pp.45-54
• /
• 2012

Optimization of the asymmetric trapezoidal fin with various upper lateral surface slope is made using a two-dimensional analytic method. For the fixed fin base height, the optimum heat loss, fin length and effectiveness are represented as inner fluid convection characteristic number, fin base thickness, fin base height, fin shape factor and ambient convection characteristic number. For this optimum procedure, the optimum heat loss is defined as 95% of the maximum heat loss from the fin. One of the results shows that optimum heat loss and effectiveness seems independent of the fin shape factor while optimum fin length decreases almost linearly as the fin shape factor increases.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.34 no.1
• /
• pp.74-80
• /
• 2006

This paper addresses the trajectory optimization of Unmanned Aerial Vehicles(UAVs) under multiple ground threats like enemy's anti-air radar sites. The power of radar signal reflected by the vehicle and the flight time are considered in the performance cost to be minimized. The bank angle is regarded as control input for a 1st-order lag vehicle, and input parameter optimization method based on Sequential Quadratic Programming (SQP) is used for trajectory optimization. The proposed path planning method provides more practical trajectories with enhanced survivability than those of Voronoi diagram method.

• The Journal of the Korea Contents Association
• /
• v.12 no.9
• /
• pp.1-8
• /
• 2012

In this paper, we propose a rate-distortion optimization method to improve the coding efficiency of the conventional 3D-DCT based compression method using adaptive block mode selection for integral images. In the conventional 3D-DCT based compression method, 3D-DCT blocks of variable block sizes are adaptively selected depending on the characteristics of integral images, and then 3D-DCT is performed. The proposed method applies a rate-distortion optimization to determine the optimal block mode. In addition, we suggest the optimal Lagrangian parameter for integral images. Experimental results show that the proposed method gives bit-rate reduction of about 5%.