• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권5호
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• pp.566-570
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• 2010

본 논문에서는 기존 유스케이스 점수 기법의 공수 예측 정확도 향상을 위해 유스케이스 트랜잭션을 기반으로 한 공수 예측 기법을 제안한다. 유스케이스 점수 기법은 소프트웨어 유스케이스 모델을 기반으로 하는 공수 예측 기법으로서 객체 지향 소프트웨어 개발 프로젝트에서 사용되고 있다. 그러나 유스케이스 점수는 트랜잭션의 개수를 규모 산정의 단위로 활용하여 트랜잭션 별 구현 공수의 차이를 반영할 수 없고 트랜잭션 수의 범위에 따라 유스케이스의 규모를 결정함으로써 상이한 트랜잭션 수를 갖는 유스케이스들이 공수 예측 시 동일한 크기로 반영되어 상세수준에서의 문제를 갖는다. 이런 한계점들은 부정확한 공수 예측을 야기하여 프로젝트의 성공률을 저해하는 요소가 될 수 있다. 이를 개선하기 위해 본 논문에서는 공수 예측 시 트랜잭션을 단위 연산으로 세분화하고, 각 연산에 대한 복잡도를 활용하여 규모를 산정하는 트랜잭션 점수 기법을 제안하고자 한다.

• 인터넷정보학회논문지
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• 제12권1호
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• pp.119-130
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• 2011

UML 다이어그램은 시스템을 모델링 하기 위한 언어로 사실상 표준으로 널리 사용되고 있다. 그 가운데 특히 클래스다이어그램은 시스템을 클래스와 클래스들간 관계로 시각화한 것으로 순공학적, 역공학적 시스템 모델링 및 구현에 직접적인 영향을 미친다. 많은 연구에서 클래스다이어그램의 레이아웃과 복잡성이 시스템 모델링의 이해에 미치는 영향을 설명하고 있다. 하지만 연구 결과가 혼재되어 있어 레이아웃 적용의 효과를 판단하는데 어려움이 따른다. 따라서 본 연구에서는 기존 연구에서 제시된 클래스다이어그램 레이아웃 기준을 토대로 2 (레이아웃) ${\times}$ 2 (복잡성) 실험을 설계, 레이아웃 적용으로 인한 이해도를 측정하였다. 47명의 피험자가 실험에 참여하여 서로 다르게 제시된 레이아웃과 복잡성에 대해 이해하도록 하였다. 그 결과 레이아웃을 적용한 실험 그룹에서 유효한 효과를 나타내었고 뿐만 아니라 복잡성에서도 유효한 결과를 확인할 수 있었다. 하지만 이 둘의 상호작용 측정에 있어서는 유효한 결과를 얻지 못했다.

• 한국산업정보학회논문지
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• 제12권4호
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• pp.41-54
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• 2007

주문 검토 및 투입(ORR; Order Review/Release) 모형의 활발한 활용을 위해서는 ORR모형의 분석과, 사용 환경에 맞는 분류가 이뤄져야 한다. 본 논문은 ORR의 역할과 관련 패러독스를 소개하고, ORR의 DSS화를 위한 분류체계를 제시한다. "COMPACT(COMplexity-imPACT) 매트릭스"라 명명된 ORR모형 분류체계는 복잡성에 따라 모형을 분류하고 각 복잡성 단계에서 모형의 유효성을 평가한 결과물이다. 이 분류체계는 사용자가 설정한 복잡성 정도에 맞춰 효과적인 모형을 제시한다는 사상을 통해 ORR모형의 DSS화와 활용에 기여할 것이다.

• Journal of electromagnetic engineering and science
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• 제17권2호
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• pp.51-56
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• 2017

This study proposes a modeling process of equivalent terrains to reduce the computational load and time of a full-wave electromagnetic (EM) simulation. To verify the suitability of the proposed process, an original terrain model with a size of $3m{\times}3m$ is equivalently quantized based on the minimum range resolution of a radar, and the radar image of the quantized model is compared with that of the original model. The results confirm that the simulation time can be reduced from 407 hours to 162 hours without a significant distortion of the radar images, and an average estimation error of the quantized model (20.4 mm) is similar to that of the original model (20.3 mm).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.2942-2960
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• 2022

The core of cognitive radio is the problem concerning intelligent decision-making for communication parameters, the objective of which is to find the most appropriate parameter configuration to optimize transmission performance. The current algorithms have the disadvantages of high dependence on prior knowledge, large amount of calculation, and high complexity. We propose a new decision-making model by making full use of the interactivity of reinforcement learning (RL) and applying the Q-learning algorithm. By simplifying the decision-making process, we avoid large-scale RL, reduce complexity and improve timeliness. The proposed model is able to find the optimal waveform parameter configuration for the communication system in complex channels without prior knowledge. Moreover, this model is more flexible than previous decision-making models. The simulation results demonstrate the effectiveness of our model. The model not only exhibits better decision-making performance in the AWGN channels than the traditional method, but also make reasonable decisions in the fading channels.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.12-22
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• 2024

Software applications have a huge and inseparable impact on our lives. The complexity of the applications increases rapidly to support high performance and multifunction. Accordingly, the cost model for applications is increasingly important. Line of Code (LOC) and Man-Month (M/M) as the cost model measure the quantitative sides of the applications. Unlike them, Function Point (FP) measures the functionalities of the application. FP is efficient for estimating qualitative characteristics, but it is restricted to measuring the cost of an application using the wireless data broadcast which can support any number of clients. In this paper, we propose, a Function Point model for Information services using wireles data Broadcast (FPIB) to measure the development cost of an application that serves using the wireless data broadcast environment. FPIB adopts critical parameters of the wireless broadcast environment and the complexity of them to measure effectively the cost developing the application. Through the evaluation comparing the proposed FPIB with FP, we reveal the effectiveness of the proposed FPIB.

• 한국정밀공학회지
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• 제14권4호
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• pp.97-103
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• 1997

Designing a feedback controller requires a dynamic model of the process to be controlled. But the GMA welding process models have not been fully developed for many reasons such as complexity of the welding process and lack of reliable sensors. Because of the complexity of the welding system, we obtained a dynamic model for control using system identification routines, rather than derived a model from fundamental physical laws. The controller was designed based on the experimentally derived linear dynamic model of the welding process. In order to demonstrate application of the designed controller, the simulation was carried out.

• 한국멀티미디어학회논문지
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• 제18권2호
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• pp.113-119
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• 2015

This paper suggests an efficient method for making the high resolution volexlized model from a polygonal surface object. A distinctive strength of the method is that a surface model, however complex one, can be transformed and formed an absolute voxelized solid model in a various resolution. It caused by producing a voxel by integrating the informations for the candidated voxels separately detected in each 3D-axial direction. This method reduces memory complexity by storing the information of voxels that is produced during the 2-phase volxelization(surface and inner voxelization) of a surface object in a binary file. For the computational efficiency, a parallel process using multi-threads is applied in the process of the inner voxelization, it also takes advantage of time complexity.

• Journal of Information Technology Applications and Management
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• 제18권1호
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• pp.15-39
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• 2011

A deeper understanding of how organizations behave as social complex adaptive systems is needed. In this paper we demonstrate how the Leadership Invigorating Flows of Energies model can help with this understanding. The model highlights the role of emergent leadership as a force encouraging the creation, diffusion, and utilization of knowledge through self-organizing mechanisms. We illustrate our approach by examining Wikipedia and show how it can be described as a social CAS. Our analysis of Wikipedia describes how emerging intrapreneurship behaviors result in dynamic flows of knowledge and self-organizing feedback mechanisms across the organization. We provide implications for organization studies and present evidence to support claims made by advocates of complexity theory. We conclude by proposing that Wikipedia can be seen as a new form of organization, and finish with a brief note highlighting a possible way forward.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.861-880
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• 2023

Semantic segmentation of road scene is the key technology of autonomous driving, and the improvement of convolutional neural network architecture promotes the improvement of model segmentation performance. The existing convolutional neural network has the simplification of learning knowledge and the complexity of the model. To address this issue, we proposed a road scene semantic segmentation algorithm based on multi-task collaborative learning. Firstly, a depthwise separable convolution atrous spatial pyramid pooling is proposed to reduce model complexity. Secondly, a collaborative learning framework is proposed involved with saliency detection, and the joint loss function is defined using homoscedastic uncertainty to meet the new learning model. Experiments are conducted on the road and nature scenes datasets. The proposed method achieves 70.94% and 64.90% mIoU on Cityscapes and PASCAL VOC 2012 datasets, respectively. Qualitatively, Compared to methods with excellent performance, the method proposed in this paper has significant advantages in the segmentation of fine targets and boundaries.