• The KIPS Transactions:PartD
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• v.8D no.3
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• pp.233-240
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• 2001

As software technology is in progress and software quantification is getting more important, many metrics have been proposed to quantify a variety of system entities. These metrics can be classified into two different forms : scalar metric and metric vector. Though some recent studies pointed out the composition problem of the scalar metric form, many scalar metrics are successfully used in software development organizations due to their practical applications. In this paper, it is concluded that hybrid metric form weighting external complexity is most suitable for scalar metric form. With this concept, a general framework for hybrid metrics construction independent of the development methodologies and target system type is proposed. This framework was successfully used in two projects that quantify the analysis phase of the structured methodology and the design phase of the object oriented real-time system, respectively. Any organization can quantify system entities in a short time using this framework.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5252-5259
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• 2011

Both Optimization and Reuse Technology are considered as core technologies handling the values of products in embedded software. Framework technology is a typical type of optimization and reuse technology. When we develop software based on framework, The effect of reusability as well as development productivity can be improved. However, currently the form of framework-based development is very poor in embedded software development. Furthermore, because framework development is also beginning stage in embedded software development, there are questions whether developing framework can bring reusability effect. In this paper, we propose metrics measuring reusability of framework which is designed for improving reusability of embedded software. As as result of applying proposed metrics into real design cases, we can obtain more effective results in framework-based design than existing design.

• The Journal of Society for e-Business Studies
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• v.15 no.2
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• pp.19-35
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• 2010

In response to an increased need, various methods for ontology modularization have been proposed. However, few studies have focused on evaluative methods for ontology modules. In this study, we devise novel metrics to measure ontology modularity. To evaluate the ontology modules, we introduce cohesion and coupling based on the theory of software metrics. A cohesion metric and two coupling metrics were used to measure cohesion and coupling for ontology modules. These metrics were also used to check consistency between the ontology modules and the original ontology. The new metrics support a more detailed relationship between classes in ontology modules. We validate the proposed metrics using the well known verification framework and perform the empirical experiments to complement previous investigations. This study offers ontology engineers valuable criteria with which to select and use ontology modules and modularization techniques.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.134-143
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• 2010

This paper proposes a framework for classifying metric-based software quality prediction models, especially case of software criticality, into four types. Models are classified along two vectors: input metric forms and the necessity of past project data. Each type has its own characteristics and its strength and weakness are compared with those of other types using newly defined criteria. Through this qualitative evaluation each organization can choose a proper model to suit its environment. My earlier studies of criticality prediction model implemented specific models in each type and evaluated their prediction performances. In this paper I analyze the experimental results and show that the characteristics of a model type is the another key of successful model selection.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.641-643
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• 2023

Deep Learning(DL)을 사용한 호흡음의 자동 분석은 폐 질환의 조기 진단에 중추적인 역할을 한다. 그러나 현재의 DL 방법은 종종 호흡음의 공간적 및 시간적 특성을 분리하여 검사하기 때문에 한계가 있다. 본 연구는 컨볼루션 연산을 통해 공간적 특징을 캡처하고 시간 컨볼루션 네트워크를 사용하여 이러한 특징의 공간적-시간적 상관 관계를 활용하는 새로운 DL 프레임워크를 제한한다. 제안된 프레임워크는 앙상블 학습 접근법 내에 컨볼루션 네트워크를 통합하여 폐음 녹음에서 호흡 이상 및 질병을 검출하는 정확도를 크게 향상시킨다. 잘 알려진 ICBHI 2017 챌린지 데이터 세트에 대한 실험은 제안된 프레임워크가 호흡 이상 및 질병 검출을 위한 4-Class 작업에서 비교모델 성능보다 우수함을 보여준다. 특히 민감도와 특이도를 나타내는 점수 메트릭 측면에서 최대 45.91%와 14.1%의 개선이 이진 및 다중 클래스 호흡 이상 감지 작업에서 각각 보여준다. 이러한 결과는 기존 기술보다 우리 방법의 두드러진 이점을 강조하여 호흡기 의료 기술의 미래 혁신을 주도할 수 있는 잠재력을 보여준다.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.627-640
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• 2010

In a web 2.0 environment, as a wide range of web services are being utilized, it requires quick and convenient way to develop web applications. For this purpose, the framework has been recently introduced and has been applied to web applications. However, software quality application model has not been presented for the web application using framework. In this paper, we develop web application, online library system using a number of frameworks. The system allows users to freely share book information. In order to evaluate the system, we present new software quality evaluation model for web applications using framework. The five quality attributes, functionality, usability, efficiency, maintainability, stability are defined based on the international standard for software quality evaluation, ISO/IEC 9126-2. We also propose the evaluation metrics for the web application using framework and perform quantitative evalzuation for the online library system.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.523-526
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• 2006

소프트웨어 프로세스 개선에 대한 원리와 방법은 CMM/CMMI 와 같은 프로세스 모델의 등장으로 인식하였으나 개인과 팀 차원에서 이를 구체적으로 구현하기 위한 운영적 차원의 절차와 수단의 부족으로 실제현상에 적용하여 성과를 창출하기에는 어려움을 겪어왔다. 이러한 문제를 해결하고 개발자와 개발팀의 차원에서 CMM/CMMI 의 목표와 프랙티스를 구현하기 위해 SEI(Software Engineering Institute)에 의해 PSP/TSP 가 개발되었다. 그러나 RSP 가 팀 차원에서 스프트웨어 개발에 사용할 수 있는 구체적인 기법들을 기술하고 있더라고 RSP 에서 수집되는 메트릭에 대한 분석기법은 여전히 부족하다. 따라서 TSP 수행시 발생할 수 있는 문제를 방지하고 프로세스가 변경되고 유지 관리될 수 있도록 하기 위해서는 식스시그마의 다양한 통계 기법과 의사 결정도구의 사용이 필요하다. 본 논문에서는 TSP 의 각 스크립트에 식스시그마의 통계 기법과 의사 결정도구를 포함 시킴으로써 TSP를 확장한 식스시그마-TSP 통합 프레임워크와 활용 가이드라인을 제시함으로써 팀 차원에서의 프로세스 개선의 수행을 지원하며 팀 차원에서 발생할 수 있는 이슈를 식스시그마의 분석, 정량화 도구를 사용하여 해결하고 아울러 팀 성과를 향상할 수 있는 방법을 모색해본다.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.577-580
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• 2006

상품을 구입할 때 사용자의 신체 정보를 적용한 스마트카드를 이용하는 것은 전자상거래를 지원하는 현재의 E-business 시스템에 새로운 변화를 가져올 것이다. 사람의 신체는 모든 부분을 식별할 수 있는 다양한 물리적 측정 기준을 가지고 있다. 중요한 것은, 스마트카드는 바디 메트릭을 저장하기위해 적절한 저장장치이고, 그것과 관련된 컨텐츠의 자바 애플릿의 검색이나 업데이트가 용이하다는 점이다. 만약 고객의 신체 정보가 모바일 스마트카드에 저장되어 사용된다면, 그것은 상거래 프로세스에 효율적인 확장을 가져올 것이다. 이 논문은 웹 브라우저와 자바 임베디드 스마트카드사이의 일정한 접근 인터페이스를 개발, 제공하기위한 자바카드 웹 서비스의 프레임워크를 설명할 것이다.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.647-656
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• 2001

Video delivery from a server to a client across a network system is an important part of many multimedia applications. Usually, the network system has constraint in both the amount of network bandwidth and the buffer size in the client. While delivering a video stream across such a constrained network system, loss of frames may be unavoidable. The system resources consumed by the dropped frames are wasted, and the losses of frames would result in discontinuous display at the client. In this paper, for delivering hierarchically encoded video stream, we introduce the notion of selective layer discard algorithm at the server which not only preemptively discards data at the server but also drops less important part of a frame instead of the entire frame. By the simulation, we compare the proposed selective layer discard algorithm and the existing selective frame discard algorithm. The simulation results show that the proposed algorithm may improve the quality of decoded video, and decrease the replay discontinuity at the client.

• The KIPS Transactions:PartC
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• v.12C no.2 s.98
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• pp.289-300
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• 2005

This paper proposed an analytical framework to compare and model the policy-based network management; centralized and distributed typed model. Policy-based network is introduced in various application fields, and a policy framework can offer different processing performance according to application. Therefore, we evaluated the performance and extensibility of each PBNM model when we apply the policy process to the models. The evaluated measurement metrics are policy provisioning time, traffic occurrence amount, PDP processing rate, and global conflict detection in qualitative simulation. The results show that the suitable structure is required according to the analysis for the careful application characteristics, when PBNM is adopted. The modeling framework presented in this paper is intended to quantify the merits and demerits among the currently suggested PBNM models.