• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.325-327
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• 2004

제품계열공학(Product Line Engineering, PLE)은 효과적인 재사용 기법으로, 핵심자산(Core Asset) 개발 프로세스와 어플리케이션 공학 프로세스로 구성된다. 핵심자산 개발 프로세스는 제품계열의 여러 어플리케이션들의 공통 휘쳐(Feature)들을 모델링 한 핵심자산 개발에 사용된다. 어플리케이션 공학 프로세스에서 핵심자산을 인스턴스화(instantiation)하고, 핵심자산이 제공하지 않는 어플리케이션 종속적인 기능을 모델링 한 후, 이 두 모델을 통합하여 목표 어플리케이션을 생성 개발한다. 현재의 제품계열공학 연구는 핵심자산 개발과 인스턴스화 과정에 집중되어 있고, 어플리케이션 공학 프로세스의 연구는 개념적 수준에 머물고 있다. 특히, 인스턴스화된 핵심자산 모델과 어플리케이션 종속 모델의 통합의 실용적 기법이 미흡하다. 본 논문에서는 어플리케이션 공학 프로세스의 주요 활동들에 대한 작업 순서와 실용적 지침을 제공한다.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.349-350
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• 2008

지능 로봇은 표현 가능한 사물, 공간을 모델링하기 위해 주변 환경을 인지하고, 자신이 수행할 수 있는 행동을 결합하여 임무를 수행하게 된다. 이를 위해 온톨로지를 사용하여 사물, 공간, 상황 및 행동을 표현하고 특정 임무 수행을 위한 자바 기반 Rule을 통해 다양한 추론 방법을 제공하는 로봇 지식 체계를 사용하였다. 사용된 로봇 지식 체계는 생성되는 인스턴스가 자료의 클래스와 속성 값이 일관성 있고 다른 자료와 모순되지 않음을 보장해 준다. 이러한 로봇 지식 체계를 효율적으로 사용하기 위해서는 완전한 온톨로지 인스턴스의 생성이 밑받침 되어야 한다. 하지만 실제 환경에서 로봇이 Vision Sensor를 통해 사물을 인식할 때 False Positive False Negative와 같은 인식 오류를 발생시키는 문제점이 있다. 이를 보완 하기 위해 본 논문에서는 물체와 물체간의 Spatial Relation, Temporal Relation과 각 물체마다의 인식률 및 속성을 고려하여 물체 인식 오류에서도 안정적으로 인스턴스 관리를 가능하게 하는 Rule 기반의 일식오류 검출 필터를 제안한다.

• Journal of KIISE:Software and Applications
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• v.29 no.3
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• pp.133-144
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• 2002

This paper presents a methodology to determine safe persistence of objects from C code during reengineering process. The methodology consists of five steps: the static information methodology, reflection, instantiation, and the refinement. The steps assist to a reengineer to decide appropriate construction and destruction points of an object during its life cycle. Further the steps guarantee safe and consistent interactions among objects.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.955-957
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• 2005

Ada 언어의 일반화(Generic) 메커니즘은 복잡한 대형 시스템의 설계에 있어 소프트웨어의 재사용성을 높이기 위한 효과적인 방편으로 사용되어 왔다. 일반화 모듈은 기능 또는 알고리즘은 정의되었으나 파라미터의 구체적인 속성이 아직 정해지지 않은 한 개의 소프트웨어 모듈을 다양한 파라미터를 적용하여 여러 곳에서 반복적으로 사용할 수 있도록 한 개념이다. 정형이론 및 구조적 설계기법에 기반한 설계도구인 Stalemate 또한 설계 모듈의 반복적인 재사용을 위해 일반화 차트(Generic Chart)를 제공하고 있다. ATCS(Air Traffic Control System) 설계 모듈에 적용한 결과 두 가지 모두 소프트웨어의 재사용과 설계의 효율성 향상을 위한 도구로 활용할 수 있으며 Statemate의 경우 일반화 차트를 다양한 자료형으로 실례화(Instantiation)할 수 있다면 보다 효과적인 설계모듈의 재사용이 가능할 것이다.

• The Journal of Korea Robotics Society
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• v.14 no.2
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• pp.104-113
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• 2019

Object manipulation in cluttered environments remains an open hard problem. In cluttered environments, grasping objects often fails for various reasons. This paper proposes a novel task and motion planning scheme to grasp objects obstructed by other objects in cluttered environments. Task and motion planning (TAMP) aims to generate a sequence of task-level actions where its feasibility is verified in the motion space. The proposed scheme contains an open-loop consisting of three distinct phases: 1) Generation of a task-level skeleton plan with pose references, 2) Instantiation of pose references by motion-level search, and 3) Re-planning task based on the updated state description. By conducting experiments with simulated robots, we show the high efficiency of our scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.577-594
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• 2020

Service Function Chaining (SFC) supports services through linking an ordered list of functions. There may be multiple instances of the same function, which provides a challenge to select available instances for all the functions in an SFC and generate a specific Service Function Path (SFP). Aiming to solve the problem of SFP selection, we propose an architecture consisting of distributed SFP algorithm and central control mechanism. Nodes generate distributed routings based on the first function and destination node in each service request. Controller supervises all of the distributed routing tables and modifies paths as required. The architecture is scalable, robust and quickly reacts to failures because of distributed routings. Besides, it enables centralized and direct control of the forwarding behavior with the help of central control mechanism. Simulation results show that distributed routing tables can generate efficient SFP and the average cost is acceptable. Compared with other algorithms, our design has a good performance on average cost of paths and load balancing, and the response delay to service requests is much lower.

• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.87-94
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• 1996

In order to design an extended relational database management system supporting multilevel security, the standard relational data model is extended and new relational integrity constrains are proposed for the model. The extended relational model and proposed multilevel integrity constraniants maintain database in consistent state and produce a basis that can eliminat eambiguity of entity and relation ship representations bypoly instantiation. The proposed up dates emantics canincreases the efficiency of up date operations by supporting multilevel entry and up dates. The semantics also provides a basis for the implementation of decomposition of extended relations.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.4
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• pp.591-599
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• 2023

Due to the recent attack by Castryck-Decru, the private key of SIDH can be recovered in polynomial time so several methods have been proposed to prevent the attack. Among them, M-SIDH proposed by Fouotsa et al, counteracts the attack by masking the torsion point information during the key exchange. In this paper, we implement M-SIDH and evaluate its performance. To the best of our knowledge, this is the first implementation of M-SIDH in C language. Toward that end, we propose a method to select parameters for M-SIDH instantiation and propose a 1024-bit prime for implementation. We implemented the square-root Velu formula over the extension field for further optimization. As a result, 1129 ms is required for a key exchange in the case of MSIDH-1024, providing the classic 64-bit security level.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.752-759
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• 2022

The instantiation of spaces as a discrete entity allows users to utilize BIM models in a wide range of analyses. However, in practice, their utility has been limited as spaces are erroneously entered due to human error and often omitted entirely. Recent studies attempted to automate space allocation using artificial intelligence approaches. However, there has been limited success as most studies focused solely on the use of geometric features to distinguish spaces. In this study, in addition to geometric features, semantic relations between spaces and elements were modeled and used to improve space classification in BIM models. Graph Convolutional Networks (GCN), a deep learning algorithm specifically tailored for learning in graphs, was deployed to classify spaces via a similarity graph that represents the relationships between spaces and their surrounding elements. Results confirmed that accuracy (ACC) was +0.08 higher than the baseline model in which only geometric information was used. Most notably, GCN was able to correctly distinguish spaces with no apparent difference in geometry by discriminating the specific elements that were provided by the similarity graph.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.49-58
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• 2023

Renewable energy is not a new terminology. One of the fastest growing renewable energies is solar energy. The implementation of solar energy provides several advantages including the reduction of some of the environmental risks of fossil fuel consumption. This research elaborated the importance of the adaption of solar energy by developing a spatial decision support system (SDSS), while the Residential Solar Energy Adoption (RSEA) is an instantiation artifact in the form of an SDSS. As a GIS web-based application, RSEA allows stakeholders (e.g., utility companies, policymakers, service providers homeowners, and researchers) to navigate through locations on a map interactively. The maps highlight locations with high and low solar energy adoption potential that enables decision-makers (e.g., policymakers, solar firms, utility companies, and nonprofit organizations) to make decisions. A combined qualitative and quantitative methodological approach was used to evaluate the application's usability and user experience, and results affirmed the ability of the factors of utility, usefulness, and a positive user experience of the residential solar energy adoption of spatial decision support system (RSEA-SDSS). RSEA-SDSS in improving the decision-making process for potential various stakeholders, in utility, solar installations, policy making, and non-profit renewable energy domains.