• 인터넷정보학회논문지
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• 제23권1호
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• pp.125-134
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• 2022

정보 통신 및 인공지능 기술의 발전은 우리 군의 지휘통제체계의 지능화를 요구하며, 이를 달성하기 위해 다양한 시도가 이루어지고 있다. 본 논문은 특히, 지휘통제 워크플로우에서 활용 가능한 정보의 양이 폭발적으로 증가함에 따라 지휘통제체계 사용자에게 제공되는 정보 중 수행 업무에 가장 핵심적인 정보를 제공할 수 있는 협업 필터링(Collaborative Filtering, CF) 및 추천 시스템(Recommendation System, RS)에 주목한다. 군 지휘통제체계에서 정보의 필터링을 수행하는 RS는 가장 우선 설명 가능한 추천을 수행하여야 하며, 그 다음 지휘관들이 임무를 수행하는 다양한 상황을 고려한 추천이 수행되어야 한다. 본 논문에서는 지휘통제 워크플로우를 지원하기 위하여 정보를 선택적으로 추천하는 contextual pre-filtering CARS 프레임워크를 제안한다. 제안된 프레임워크는 1) 지휘결심자의 상황 및 관계에 기반하여 데이터를 사전에 필터링하는 contextual pre-filtering, 2) CF의 취약한 데이터 희소성 문제를 극복하기 위한 피쳐 선택, 3) 피쳐 간의 디스턴스를 사용자의 유사도 산출에 활용한 CF, 및 4) 사용자의 선호를 반영하기 위한 규칙 기반 포스트 필터링의 4 단계로 구성되어 있다. 본 연구의 우수성을 평가하기 위해서 상용 수준의 실험 데이터셋 2종에 대해 기존 CF 방법의 다양한 디스턴스 방법을 적용하여 비교 실험하였다. 비교 실험 결과 제안된 프레임워크가 3가지 평가지표(MAE, MSE, MSLE) 측면에서 우수함을 나타내었다.

• Journal of Information Technology Applications and Management
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• 제30권1호
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• pp.115-126
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• 2023

In various fields such as art, design, music, film, sports, games, and fashion, NFTs (Non-Fungible Tokens) are creating new economic value through trading platforms dedicated to NFT art and content. In this article, I analyze the current state of blockchain technology and NFT art content in the context of an expanding market for blockchain-based NFT art content in the metaverse. I also propose several tasks based on the economic and industrial logic of technological innovation. The first task proposed is to integrate cultural arts on blockchain, metaverse, and NFT platforms through digital innovation, instead of separating or distinguishing between creative production and consumption. Before the COVID-19 pandemic, there was a clear separation between creators and consumers. However, with the rise of Web 3.0 platforms, any user can now create and own their own content. Therefore, it is important to promote a collaborative and integrated approach to cultural arts production and consumption in the blockchain and metaverse ecosystem. The second task proposed is to align the legal framework with blockchain-based technological innovation. The enactment and revision of relevant laws should focus on promoting the development of the NFT trading platform ecosystem, rather than merely regulating it for user protection. As blockchain-based technology continues to evolve, it is important that legal systems adapt to support and promote innovation in the space. This shift in focus can help create a more conducive environment for the growth of blockchain-based NFT platforms. The third task proposed is to integrate education on digital arts, including metaverse and NFT art contents, into the current curriculum. This education should focus on convergence and consilience, rather than merely mixing together humanities, technology, and arts. By integrating digital arts education into the curriculum, students can gain a more comprehensive understanding of the potential of blockchain-based technologies and NFT art. This article examines the digital technological innovation such as blockchain, metaverse, and NFT from an economic and industrial point of view. As a limitation of this research, the critical mind such as philosophical thinking or social criticism on technological innovation is left as a future task.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권9호
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• pp.413-422
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• 2002

In a power plant, disturbance detection and diagnosis are massive and complex problems. Once a disturbance occurs, it can be either persistent, self cleared, cleared by the automatic controllers or propagated into another disturbance until it subsides in a new equilibrium or a stable state. In addition to the Physical complexity of the power plant structure itself, these dynamic behaviors of the disturbances further complicate the fault monitoring and diagnosis tasks. A data structure called a disturbance interrelation analysis graph(DIAG) is proposed in this paper, trying to capture, organize and better utilize the vast and interrelated knowledge required for power plant disturbance detection and diagnosis. The DIAG is a multi-layer directed AND/OR graph composed of 4 layers. Each layer includes vertices that represent components, disturbances, conditions and sensors respectively With the implementation of the DIAG, disturbances and their relationships can be conveniently represented and traced with modularized operations. All the cascaded disturbances following an initial triggering disturbance can be diagnosed in the context of that initial disturbance instead of diagnosing each of them as an individual disturbance. DIAG is applied to a typical cooling water system of a thermal power plant and its effectiveness is also demonstrated.

• 공학교육연구
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• 제9권2호
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• pp.71-81
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• 2006

2년제 대학의 전자 및 정보통신 관련 학과에서 전자분야의 생산 공정 관리를 담당하는 테크니션을 양성하기 위한 교과과정 개발을 위해서는 생산 공정 관리자의 직무를 체계적으로 분석하고 정의하며, 관련기술과 도구에 대한 기술이 필요하다. 이 연구에서는 생산 공정 관리를 담당하는 중간관리자가 갖추어야 할 직무능력과 관련하여 3가지 직무에 대해서 22가지의 테스크를 정의하고, 이를 6가지 교과로 분류하고 이들 교과에서 교육할 내용을 12가지 주제로 정리하였다. 이를 통해서 전자관련 분야의 생산 공정 관리를 위한 중간관리자를 효율적으로 교육할 수 있는 교과과정 모형을 제시하였다.

• 제어로봇시스템학회논문지
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• 제3권4호
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• pp.373-380
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• 1997

In order to implement the real-time operating systems for robot controller, this paper proposes a systematic method for implementing the real-time kernel under the DOS environment. So far, we designed the robot control software and its own operating system simultaneously. Though robot operating systems have simple structure, it allows the developer to have a surplus time and effort to implement complete robot systems. In addition to this, in most cases of this type, operating systems does not support multitasking function, thus, low level hardware interrupts are used for real-time execution. Subsequently, some kinds of real-time tasks are hard to implement under this environment. Nowadays, the operating systems for robot controller requires multitasking functions, intertask communication and task synchronization mechanism, and rigorous real-time responsiveness. Thus, we propose an effective and low costs real-time systems for robot controller satisfying the various real-time characteristics. The proposed real-time systems are verified through real implementation.

• 산업공학
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• 제16권spc호
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• pp.76-81
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• 2003

BPMS (Business Process Management Systems) is aninformation system that systematically supports designing, administrating, and improving the business processes. It can execute the business processes by assigning tasks to human or computer agents according to the predefined definitions of the processes. In this research we developed a task assignment algorithm that can maximize overall process efficiency under the limitation of agents' capacity. Since BPMS manipulates the formal and predictable business processes, we can analyze the processes using queuing theory to achieve overall process efficiency. We first transform the business processes into queuing network model in which the agents are considered as servers. After that, workloads of agents are calculated as server utilization and we can determine the task assignment policy by balancing the workloads. This will make the workloads of all agents be minimized, and the overall process efficiency is achieved in this way. Another application of the results can be capacity planning of agents in advance and business process optimization in reengineering context. We performed the simulation analysis to validate the results and also show the effectiveness of the algorithm by comparing with well known dispatching policies.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.77-85
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• 2021

This study aims to investigate the status quo and identify the challenges and benefits of the digital transformation in the context of small and medium-sized enterprises (SMEs) in Vietnam. The six participating SMEs were purposely contacted, and they were either nominated for, or received the Vietnam Digital Awards in 2018, 2019 and 2020, which were held by the Vietnam Digital Communication Association (http://en.vdca.org.vn/). A qualitative research method is adopted, using a semi-structured interview method and a theoretical triangulation of legitimacy, stakeholder and stewardship theories to facilitate the investigation. This research tries to identify the current challenges and benefits for digital transformation of SMEs in Vietnam, based on perception and experience from business leaders and managers from six SMEs in Vietnam. The findings of this study reveal that besides the recent challenges for digital transformation, participants also experienced and shared their perspectives regarding the benefits received from the digital transformation journey of their organization, which varied from (i) improve operational as well as business functions; (ii) liberate staffs and managers from daily work and allows them to focus on decision-making tasks; (iii) enable solutions to deal with consequences from the COVID-19 pandemic; (iv) enhance value creation process; and (v) help firms to align with the global business standards.

• 한국항공운항학회지
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• 제29권2호
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• pp.14-24
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• 2021

This study aims to examine probable human errors when landing an airplane by the use of SHERPA(systematic human error reduction and prediction approach) and propose methods for preventing the predictive human errors. It has been reported that human errors are concerned with a lot of accidents or incidents of an airplane. It is significant to predict presumable human errors, particularly in the operation mode of human-automation interaction, and attempt to reduce the likelihood of predicted human error. By referring to task procedures and interviewing domain experts, we analyzed airplane landing task by using HTA(hierarchical task analysis) method. In total, 6 sub-tasks and 19 operations were identified from the task analysis. SHERPA method was used for predicting probable human error types for each task. As a result, we identified 31 human errors and predicted their occurrence probability and criticality. Based on them, we suggested a set of methods for minimizing the probability of the predicted human errors. From this study, it can be said that SHERPA can be effectively used for predicting probable human error types in the context of human-automation interaction needed for navigating an airplane.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.320-326
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• 2022

The main purpose of the article is to determine the role of the digitalization phenomenon (its positive and negative sides) as a means of anti-corruption policy in the healthcare sector of Ukraine and provide practical recommendations for transforming the domestic healthcare sector based on digitalization through the implementation of organizational and legal measures. The definitions of such concepts as: corruption in the healthcare sector; digitalization; digitalization of the healthcare sector; e-medicine. A typology of reasons for promoting the development of corruption in the healthcare sector of modern Ukraine is given. As a result of the study, a number of scientific tasks were implemented. The negative side of the introduction of digitalization in the healthcare sector has been identified and illustrated. The types of e-services in the healthcare sector are systematized, each of them is characterized and the fundamental directions of their development are indicated. The existing problems of technostress are characterized (techno-overload; techno-invasion; techno-complexity; techno-insecurity; techno-uncertainty). In the context of considering digitalization as a means of anti-corruption policy in the healthcare sector, practical organizational and legal measures are proposed for implementation.

• 정보교육학회논문지
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• 제9권2호
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• pp.231-241
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• 2005

사회과의 지도 학습은 지도 자체에 대한 이해와 지도를 활용하여 각종 추론 능력 및 관계 파악 능력을 배양한다는 두 가지의 목적을 지니고 있다. 그러나 기존의 연구는 학습 내용이 지도 자체에 대한 이해에만 치우쳐 있으며 학습자와 학습 내용간의 상호작용은 이루어지고 있으나 이를 안내하는 교사와의 상호작용이나 학습자간의 상호작용은 미흡한 실정이다. 따라서 본 논문에서는 학습자 중심의 지도 학습을 할 수 있고, 상호작용을 통한 협동학습이 강조되는 구성주의를 적용한 웹 기반의 지도 학습 시스템을 설계하고 구현한다. 본 논문에서 제안하는 시스템의 특징은 다음과 같다. 첫째, 학습자가 자기 스스로 지도의 기본 요소를 학습하고, 각 단계에서 평가를 거쳐 피드백 할 수 있도록 하며, 전체 학습을 마친 후 학습 내용을 객관식으로 평가할 수 있도록 구현한다. 둘째, 웹을 기반으로 학습자의 흥미를 유발하여 참여를 유도하였으며 게시판과 채팅 기능을 통해 교사와 학습자간, 학습자와 학습자간의 상호작용을 강화한다. 셋째, 유용한 과제를 제시하고 문제 해결 학습 모형을 적용하여 지도 활용 학습이 가능하도록 구현한다.