• 한국컴퓨터정보학회논문지
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• 제21권10호
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• pp.135-142
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• 2016

In this paper, we propose a plan for the introduction of a knowledge-based system proposed by the traditional computing sciences, in order to operate the computer system computerized hospital workers effectively. Hospital computational features of the operating system for this purpose, were made about the working conditions, computational difficulties of the hospital administrator. It is necessary for a knowledge management system for results-effective IT system operational review findings apply to the hospital, where a hospital computer system having features and hospitals computational workers must be resolved on the technical and environmental constraints with It became aware of the need. This study further shows that an effective hospital computer system to derive additional operating a variety of issues to consider for the base and the introduction of a knowledge management system can gradually solve the problem.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.146-158
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• 2023

Smart City is gaining attention with the advancement of Information and Communication Technology (ICT). ICT provides the basis for smart city foundation; enables us to interconnect all the actors of a smart city by supporting the provision of seamless ubiquitous services and Internet of Things. On the other hand, Crowdsourcing has the ability to enable citizens to participate in social and economic development of the city and share their contribution and knowledge while increasing their socio-economic welfare. This paper proposed a hybrid model which is a compound of human computation, machine computation and citizen crowds. This proposed hybrid model uses knowledge-based crowdsourcing that captures collaborative and collective intelligence from the citizen crowds to form democratic knowledge space, which provision solutions in areas of civic innovations. This paper also proposed knowledge-based crowdsourcing framework which manages knowledge activities in the form of human computation tasks and eliminates the complexity of human computation task creation, execution, refinement, quality control and manage knowledge space. The knowledge activities in the form of human computation tasks provide support to existing crowdsourcing system to align their task execution order optimally.

• 한국컴퓨터정보학회논문지
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• 제21권1호
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• pp.181-189
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• 2016

This study examined three elementary school computing curriculum - the CSTA K-12 computer science standards, the computing programme of the national curriculum in England, and the 2015 national curriculum in Korea - focusing on the educational objectives with the perspective of the revision of Bloom's Taxonomy of Educational Objectives. The CSTA K-12 computer science standards mainly addressed applying procedural knowledge and using digital technology is the main theme. The computing programme in England concentrated on understanding factual and conceptual knowledge of computer science, such as algorithms. The 2015 national curriculum also addressed applying procedural knowledge, but the main focus is making softwares and robots. The findings of this comparative analysis suggest that it is needed to set up concrete educational objectives for lower grade and make them related to the secondary education to make more coherent elementary-level learning objectives. And elementary-level computing learning objectives are needed to be organized with the perspective of knowledge and cognitive process level.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.209-213
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• 2021

Data mining is the application of specific algorithms for extracting patterns from data and KDD is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams. Data mining can be used for decision making in educational system. But educational institution does not use any knowledge discovery process approach on these data; this knowledge can be used to increase the quality of education. The problem was happening in the educational management system, but to make education system more flexible and discover knowledge from it huge data, we will use data mining techniques to solve problem.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.664-667
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• 2000

Although managing knowledge about business processes has been recognized as an important aspect of Knowledge Management System (KMS), it has not been satisfactorily addressed academically or commercially. This paper proposes a KMS architecture to effectively manage business process as knowledge. It expands commonly recognized KMS functions with the process packaging module that defines business processes, monitors and evaluates process instances, keeps process instance history, and provides link between processes and other knowledge items such as documents and experts. The users can not only find the best practice of a business process but also learn from mistakes. A prototype system is implemented to show the feasibility of the proposed architecture. The results of this paper can contribute to expand current KMSs to help use knowledge to enhance the users' performance in their business processes.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.221-232
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• 2021

In recent years, with the existence of huge amounts of data stored in huge databases, the need for developing accurate tools for analyzing data and extracting information and knowledge from the huge and multi-source databases have been increased. Hence, new and modern techniques have emerged that will contribute to the development of all other sciences. Knowledge discovery techniques are among these technologies, one popular technique of knowledge discovery techniques is data mining which aims to knowledge discovery from huge amounts of data. Such modern technologies of knowledge discovery will contribute to the development of all other fields. Data mining is important, interesting technique, and has many different and varied algorithms; Therefore, this paper aims to present overview of data mining, and clarify the most important of those algorithms and their uses.

• 디지털콘텐츠학회 논문지
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• 제19권5호
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• pp.1021-1026
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• 2018

국내에서는 계산과학이라는 학문이 초기단계로 아직 활성화되지 못하고 있으며 고성능컴퓨팅을 기초부터 고급 과정까지 체계적으로 배울 수 있는 교육체계가 미비하다. 본 논문에서는 계산과학 전공자들이 배워야 할 컴퓨터과학에 대한 기본 연구로 고성능컴퓨팅을 배우기 위해 필요한 지식 단위을 도출하였다. ACM의 Computer Science 커리큘럼(CS2013)을 기초로 하여 89개의 지식 단위들에 대해 타당성과 신뢰성을 조사하였으며 검증된 11개의 지식단위에 대해 전문가를 통해 6개의 핵심 지식 단위와 2개의 선택 지식 단위를 제안되었다. 제안된 지식단위들은 계산과학 전공들에게 필요한 고성능컴퓨팅 교육과정 개발에 기여할 것으로 기대된다.

• 한국융합학회논문지
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• 제5권2호
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• pp.25-32
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• 2014

Indian economy growth changed due Indian business operational approach with convergent technologies. The current economy growth supported by Information Technology Development and Information Technology Enabled Service. As part of the Information technology enabled upcoming Knowledge processing outsourcing provide huge opportunities to develop Indian business with our human resources. The KPO business sector basis and frame work can be achieve through Development Dynamic initiatives. This paper discuss about the basis of KPO and Dynamic Development Initiative frame work strategic compact components and its characters.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.918-919
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• 2023

딥러닝 기술이 발전함에 따라 모델의 복잡성 역시 증가하고 있다. 본 연구에서는 모델 경량화를 위해 Knowledge Distillation 기법을 Crowd Counting Model에 적용했다. M-SFANet을 Teacher 모델로, 파라미터수가 적은 MCNN 모델을 Student 모델로 채택해 Knowledge Distillation을 적용한 결과, 기존의 MCNN 모델보다 성능을 향상했다. 이는 정확도와 메모리 효율성 측면에서 많은 개선을 이루어 컴퓨팅 리소스가 부족한 기기에서도 본 모델을 실행할 수 있어 많은 활용이 가능할 것이다.

• 한국컴퓨터정보학회논문지
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• 제23권10호
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• pp.173-180
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• 2018

In this paper, we analyzed key keywords and research themes in the field of defense research using keyword network analysis and tried to grasp the whole knowledge structure. To do this, we extracted data from 2,165 research data from defense related research institutes from 2010 to 2017 and applied the Pareto rule to the number of abstracts of words and the number of links between words, We extracted a total of 2,303 words based on the criterion and extracted 204 final key words through component analysis. By analyzing the centrality and cohesiveness through these key words, we confirmed the concept of core research in the defense field and derived a total of 7 large groups and 16 small groups of each group in the knowledge structure of the defense area.