• Journal of Information Technology and Architecture
• /
• v.9 no.1
• /
• pp.111-120
• /
• 2012

Many Countries are recently focued on building capability based military and operating for the defense budget efficiency and operational effectiveness. The EA not only defines enterprise scope but also identifies relation among them, manage change and complexity. Accordingly, this research aims to build architecture framework which can achieve alignment, integration and interoperability by developing it with output. Through this, architecture framework can be changed into force development and operation. And it can be used for construction of effective force and operation for NCO by applying mathematical model and method of force priority development based on developed capabilities-based architecture framework.

• Journal of the military operations research society of Korea
• /
• v.36 no.2
• /
• pp.39-52
• /
• 2010

DoD makes efforts to develop Capability-Based Force Structure through NCW and requirements. MND makes efforts to develop capability based force development and management for dynamic security environment and wartime command and control, however it seems to be very difficult to develop Capability-Based Force Structure without the concept and development method of integrated capability. The purpose of this paper is to make "An Integrated Capability Framework of Capability Based Force Structure" which presents integral capability of Enterprise. This framework contains the concept of force operation and force development view based on defense force life cycle.

• Journal of KIISE:Software and Applications
• /
• v.35 no.4
• /
• pp.234-244
• /
• 2008

Since the advent of Six Sigma in 1980's, Six Sigma is widely used in various industry areas, such as manufacturing, financial, government, and service, and proves its innovation ability and value by providing lots of success stories. Several researches have been conducted to adopt Six Sigma for Software Development and Software Quality Assurance-Software Six Sigma. Although the wide use of Six Sigma, there is no software tool to support the execution of Six Sigma Project. For this reason, the Quantitative Six Sigma Project Management is required to support for measuring and analyzing Six Sigma Projects, storing and reporting the results from Six Sigma Projects, and managing Six Sigma Projects through the whole process of, DMAIC or DMADV. In this paper, we introduce the design and implementation of a Quantitative Six Sigma Project Management Framework and Tool. The execution of Six Sigma Project based on Six Sigma Project Management Tool benefits the quantification, the systematization, and the integration.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.04a
• /
• pp.1364-1366
• /
• 2011

본 논문은 자동차 분야의 품질 프로세스 모델인 Automotive SPICE와 기능안전성을 강조한 자동차 분야 ISO 26262 표준을 가지고 통합 프로세스심사 프레임워크를 구성하였다. 두 표준의 프로세스의 맵핑을 통해 심사에 활용할 수 있도록 구성해봄으로써 실제 심사 시 프로세스 능력 수준의 평가와 함께 소프트웨어의 기능안전성에 대한 수준도 판단해 볼 수 있도록 하였다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.4
• /
• pp.423-429
• /
• 2006

The systems in the ubiquitous computing environment need to provide users with context-aware services, intelligently interacting with the surrounding environment. Therefore, the systems in the ubiquitous computing environment require context-awareness ability in order to gather and analyze context information in various situations and environments. However, existing context-aware systems lack the ability to systematically generate and handle various types of context information, and only a few systems have ability learning from environment. In this paper, a general context model is defined to describe various contexts and a context-awareness framework is implemented based in the model, which makes it straightforward to handle and generate various types of context from diverse sensor. The framework is designed to allow a system to sensed, combined, inferred, and learned context information, in order to provide users with services in dynamic environments. We have implemented the proposed framework and applied it to a u-Health management system.

• Membrane Journal
• /
• v.33 no.4
• /
• pp.149-157
• /
• 2023

Covalent organic frameworks (COFs) have shown promise in various applications, including molecular separation, dye separation, gas separation, filtration, and desalination. Integrating COFs into membranes enhances permeability, selectivity, and stability, improving separation processes. Combining COFs with single-walled carbon nanotubes (SWCNT) creates nanocomposite membranes with high permeability and stability, ideal for dye separation. Incorporating COFs into polyamide (PA) membranes improves permeability and selectivity through a synthetic interfacial strategy. Three-dimensional COF fillers in mixed-matrix membranes (MMMs) enhance CO₂/CH₄ separation, making them suitable for biogas upgrading. All-nanoporous composite (ANC) membranes, which combine COFs and metal-organic framework (MOF) membranes, overcome permeance-selectivity trade-offs, significantly improving gas permeance. Computational simulations using hypothetical COFs (hypoCOFs) demonstrate superior CO₂ selectivity and working capacity relevant for CO₂ separation and H₂ purification. COFs integrated into thin-film composite (TFC) and polysulfonamide (PSA) membranes enhance rejection performance for organic contaminants, salt contaminants, and heavy metal ions, improving separation capabilities. TpPa-SO₃H/PAN covalent organic framework membranes (COFMs) exhibited superior desalination performance compared to traditional polyamide membranes by utilizing charged groups to enable efficient desalination through electrostatic repulsion, suggesting their potential for ionic and molecular separations. These findings highlight COFs' potential in membrane technology for enhanced separation processes by improving permeability, selectivity, and stability. In this review, COF applied for the separation process is discussed.

• The Journal of the Korea Contents Association
• /
• v.11 no.12
• /
• pp.60-70
• /
• 2011

Conventional content management systems are independently developed for a specific field in general. Therefore usage of contents for the CMS will be limited to the corresponding CMS field. These characteristics might reveal a defect that CMS could not support effectively in exchange and sharing of information between CMSs. On the other hand, metadata standardization shows big differences in method and representation for the fields of CMS because all metadata standardizations are variously performed according to applications of them. There are lots differences that make interoperability between CMSs impossible. In this paper, we propose a novel metadata schema based on METS(metadata encoding and transmission standard) so that metadata standardization can be fulfilled in reality and solved the problem of duplicated contents created from different CMSs. This framework of integrated metadata proposed here can offer an interoperability between contents created by different CMSs, and discard duplicated contents. As a result of the proposed technology, we obtain 0.5% duplication rate from traditional 10.3%. In addition the filtering ability of duplicated contents shows from 92% to 96%, which proves the effectiveness and stability of the proposed technology.

• Journal of the Korea Computer Graphics Society
• /
• v.24 no.4
• /
• pp.1-9
• /
• 2018

We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11c
• /
• pp.1977-1980
• /
• 2002

오늘날 정보기술은 국가를 비롯한 각 조직의 생존을 위한 필수적인 요소가 되었으며, 조직의 업무를 효과적으로 수행하기 위해서는 정보기술관리 및 상호운용성이 보장된 통합시스템구축이 필수적인 과제가 되었다. 그러나 현재 운용중인 대다수의 시스템들은 이러한 상호운용성의 개념 없이 개별적인 기능을 위해 개발되었으며, 향후 다른 시스템과 상호운용을 위해서는 막대한 비용과 노력이 요구되고 있으나, 정보 시스템들 사이의 상호운용을 구축하기 위한 지침이나 방안이 없는 것이 현실이다. 본 고에서는 미 국방성이 상호운용을 위하여 정립한 LISI(Levels of Information Systems Interoperability: 이하 LISI로 표기함)에 대하여 설명하고, 이러한 LISI를 전사적 범위에서의 정보시스템 현실에 적용하기 위한 방안을 제시하고, 현 기술 수준에 맞는 능력모델과 구현옵션테이블을 구현하여 상호운용성 수준 측정 프레임워크를 제안하였다.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.1
• /
• pp.163-170
• /
• 2021

As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.