• Title/Summary/Keyword: 객체기반모형

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Individualized Learning System based on Learning Object, through Semantic Sequencing by Learning Task Types (학습과제 유형별 유의미 연결을 통한 학습객체 기반 개별화 학습 시스템)

  • Hong, Ji-Young;Song, Ki-Sang
    • The Journal of Korean Association of Computer Education
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    • v.7 no.6
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    • pp.47-58
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    • 2004
  • To generate individualized and adaptive course, it's required to have the foundation structure in which learning objects are connected with each other with logical relevances. Each learner can have peculiar learning path at each point of time of learning through the logical relevancy between those learning objects and various links, considering individual learner. The purpose of this study is to design a learning object-basis individualized learning system structure, considering semantic sequencing by learning task types. It is our understanding that the individualized learning system design model of this study, considering the relevancy between learning objects, can be a fresh trial to accommodate semantic learning and true educational spirits in e-Learning at this point of time when criticism, such as the learning object based course design is simply a collection of meaningless objects, etc., is becoming influential.

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Extraction of Workers and Heavy Equipment and Muliti-Object Tracking using Surveillance System in Construction Sites (건설 현장 CCTV 영상을 이용한 작업자와 중장비 추출 및 다중 객체 추적)

  • Cho, Young-Woon;Kang, Kyung-Su;Son, Bo-Sik;Ryu, Han-Guk
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.5
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    • pp.397-408
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    • 2021
  • The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

An MIB Access Control Modeling for the Secure Management of Large Networks (대규모 망의 안전한 관리를 위한 관리 정보베이스의 접근 제어 모형화)

  • Seo, Jae-Hyeon;Lee, Chang-Jin;No, Bong-Nam
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.4
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    • pp.581-591
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    • 1995
  • An MIB is the heart of a network management system and it stores all information that is necessary for network management. To operate networks safely, it is essential to control accesses to managed objects. This paper provides three-level architecture of managers so as to perform network management more efficiently in large networks. Moreover, mandatory access control(MAC) policy and role-based access control policy are adopted to ensure the secure access to the MIB. These policies are modeled by using the active object-oriented data model, which makes easy to map these access control models into the active object-oriented database.

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A Comparative Experiment of Software Defect Prediction Models using Object Oriented Metrics (객체지향 메트릭을 이용한 결함 예측 모형의 실험적 비교)

  • Kim, Yun-Kyu;Kim, Tae-Yeon;Chae, Heung-Seok
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.8
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    • pp.596-600
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    • 2009
  • To support an efficient management of software verification and validation activities, many defect prediction models have been proposed based on object oriented metrics. They usually adopt logistic regression analysis, And, they state that the correctness of prediction is about 60${\sim}$70%, We performed a similar experiment with Eclipse 3.3 to check their prediction effectiveness, However, the result shows that correctness is about 40% which is much lower than the original results. We also found that univariate logistic regression analysis produces better results than multivariate logistic regression analysis.

A Study on Implementation and Applying Relationship Ontology System Using RDF/OWL Object Property (RDF/OWL의 객체속성을 이용한 관계온톨로지 시스템 구축과 활용에 관한 연구)

  • Kang, Hyen-Min
    • Journal of the Korean Society for information Management
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    • v.27 no.4
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    • pp.219-237
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    • 2010
  • This study proposes a 'Bibliographic Universe Relationship Vocabulary'(burv) using the RDF/OWL Object Property under the SPO predicate logic according to the relationship type among all entities of bibliographic universe and implemented a 'relationship ontology system' to establish a new cataloging business domain called 'Relationship Description Cataloging' based on the ontology.

A Prediction Model for Software Change using Object-oriented Metrics (객체지향 메트릭을 이용한 변경 발생에 대한 예측 모형)

  • Lee, Mi-Jung;Chae, Heung-Seok;Kim, Tae-Yeon
    • Journal of KIISE:Software and Applications
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    • v.34 no.7
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    • pp.603-615
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    • 2007
  • Software changes for various kinds of reasons and they increase maintenance cost. Software metrics, as quantitative values about attributes of software, have been adopted for predicting maintenance cost and fault-proneness. This paper proposes relationship between some typical object-oriented metrics and software changes in industrial settings. We used seven metrics which are concerned with size, complexity coupling, inheritance and polymorphism, and collected data about the number of changes during the development of an Information system on .NET platform. Based on them, this paper proposes a model for predicting the number of changes from the object-oriented metrics using multiple regression analysis technique.

Business Rule System and Object Model (비즈니스 규칙 시스템과 객체 모델)

  • Kang, Sang-Seung;Sohn, Joo-Chan;Ham, Ho-Sang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.11b
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    • pp.1205-1208
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    • 2003
  • 비즈니스 규칙은 비즈니스의 어떤 모습을 정의하거나 제한사항을 나타내는 문장으로 비즈니스 정책과 로직을 기술한 것이다. 본 논문에서는 비즈니스 규칙과 비즈니스 규칙 시스템을 분석하고, 분석한 내용을 기반으로 비즈니스 규칙 표현과 시스템에서의 요구조건과 고려사항을 제시하며, 새로운 비즈니스 규칙 시스템을 설계한다. 또한 비즈니스 규칙 시스템을 위한 기본 모형인 비즈니스 규칙 객체 모델을 제안한다.

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Development of a Concurrency Control Technique for Multiple Inheritance in Object-Oriented Databases (객체지향 데이터베이스의 다중계승을 위한 동시성 제어 기법 개발)

  • Jun, Woochun;Hong, Suk-Ki
    • Journal of Internet Computing and Services
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    • v.15 no.1
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    • pp.63-71
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    • 2014
  • Currently many non-traditional application areas such as artificial intelligence and web databases require advanced modeling power than the existing relational data model. In those application areas, object-oriented database (OODB) is better data model since an OODB can providemodeling power as grouping similar objects into class, and organizing all classes into a hierarchy where a subclass inherits all definitions from its superclasses. The purpose of this paper is to develop an OODB concurrency control scheme dealing with multiple inheritance. The proposed scheme, called Multiple Inheritance Implicit Locking (MIIL), is based on so-called implicit locking. In the proposed scheme, we eliminate redundant locks that are necessary in the existing implicit locking scheme. Intention locks are required as the existing implicit locking scheme. In this paper, it is shown that MIIL has less locking overhead than implicit locking does. We use only OODB inheritance hierarchies, single inheritance and multiple inheritance so that no additional overhead is necessary for reducing locking overhead.

The Development of Instructional Design Model, based on LO-Model supporting Individualized Learning (개별화학습지원-학습객체모델에 기초한 교수설계모형 개발)

  • Hong, Ji-Young;Song, Ki-Sang;Lee, Tae-Wuk
    • The Journal of Korean Association of Computer Education
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    • v.6 no.4
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    • pp.115-123
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    • 2003
  • It's difficult to find efforts for individualization other than suggesting simple, branching level learning materials among the developed courseware. The reason is primarily attributed to the facts that the courseware itself is not flexible, a fixed structure which is not reusable, and numerous costs and time should be consumed to develop one. In the same context of the appearance of the object-oriented concept in the method of software development, the concept of 'learning object' has appeared in the development of courses and contents, paving the way toward the possibility of designing versatile courses through the learning object. In the learning object-based course design, however, it still has similar shape and structure to the existing courseware, and the effort to realize the individualized learning by utilizing the learning object is not sufficient, as well. In this study, I suggest a outlined learning object model which can support the individualized learning by expanding the existing learning object, and based on th is model. design a instructional model that can show an individualized learning path, based on the ADDIE model.

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