• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.551-555
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• 2014

In this paper, framework of weapon effects calculator for hardened targets is presented. Fast running time, validation and easy expandibility are required for weaponeering tools, and these requirements were met by using of physics-based fast-running models or semi-empirical equations for damage prediction and penetrations, and modular architecture. Key concepts and outputs, required functions and corresponding use cases were presented.

• The Journal of Korean Association of Computer Education
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• v.20 no.6
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• pp.47-59
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• 2017

The Goal of SW education is to cultivate creative and convergent human resources with computational thinking ability. The content and methods of SW education are diverse, and it is difficult for the students to properly evaluate what they have learned. In order to appropriately evaluate the learning contents, SW education evaluations should be able to easily evaluate the core content of the SW education. The purpose of this study is to provide a systematic framework that can be used to develop evaluation factors to evaluate the effectiveness of SW education in elementary and secondary schools. We conducted a literature review, a field suitability review through FGI, an expert consultation, and a Delphi survey. As a result, the metrics of the cognitive domain were developed with 17 keywords in three categories: Computational Materials & Outputs (CMO), Computational Concepts (CC), and Computational Practices (CP). Also, metrics of the affective domain were developed with 13 sub-areas in four categories: value, attitude, computational thinking efficacy, and interest. The SW education evaluation factors developed in this study can be used as a framework to develop the evaluation contents in accordance with the contents of education.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.4
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• pp.335-343
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• 2013

If the SW weaknesses, which are the main cause of cyber breaches, are analyzed and removed in the SW development stages, the cyber breaches can be prevented effectively. In case of Domestic, removing SW weaknesses by applying Secure SDLC(SW Development Life Cycle) has become mandatory. In order to analyze and remove the SW weaknesses effectively, reliable SW weakness diagnostic tools are required. Therefore, we propose the functional requirements of diagnostic tool which is suitable for the domestic environment and the evaluation methodology which can assure the reliability of the diagnostic tools. Then, to analyze the effectiveness of the proposed evaluation framework, both demonstration results and process are presented.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.470-473
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• 2011

본 논문에서는 첫째, 기존 HW/SW partitioning문제의 접근 방식 모델에서 다루지 못하였던 시간 의존적인 개발 기간, 판매 가격, 판매량, time-to-market 등의 요소들을 반영하는 multi-objective 최적화문제 형태의 새로운 "Sequential HW/SW Partitioning Optimization Framework(SPOF)"를 제시하고 둘째, 그 모델로 형식화된 NP-hard 문제를 일반적으로 해결하기위한 해법으로 SPOF의 형태에 맞게끔 변형한 chromosome과 genetic operation을 사용하는 메타휴리스틱 "Fast and Elitist Multi-objective Genetic Algorithm(NSGA-II)"을 제시한다. 실험을 통하여 NSGA-II의 최적 솔루션에의 수렴성을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1475-1478
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• 2012

고도의 지능화가 요구되는 디지털 전력시스템의 R&D SW를 개발하기 위해서는 감시, 제어, 최적화 등 다양한 SW 간의 상호 데이터 및 서비스의 더욱 긴밀한 연계가 필요하다. 본 논문에서는 전력분야 R&D SW의 개발 생산성을 높이고 품질을 확보할 수 있을 뿐만 아니라, SW간 데이터 및 서비스의 상호 운용성을 강화할 수 있는 Java OSGi 기반의 SW 표준프레임워크(KSF)를 제안하고, 공통모듈 서비스 및 기초UI를 설계하였다.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.56-64
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• 2021

Many computer vision algorithms are computationally expensive and require a lot of computing resources. Recently, owing to machine learning technology and high-performance embedded systems, vision processing applications, such as object detection, face recognition, and visual inspection, are widely used. However, on-devices need to use their resources to handle powerful vision works with low power consumption in heterogeneous environments. Consequently, global manufacturers are trying to lock many developers into their ecosystem, providing integrated low-power chips and dedicated vision libraries. Khronos Group-an international standard organization-has released the OpenVX standard for high-performance/low-power vision processing in heterogeneous on-device systems. This paper describes vision libraries for the embedded systems and presents the OpenVX standard along with related trends for on-device vision system.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.187-194
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• 2020

This study present to Framework & R&D direction of the 3d printing Integrated Control & Monitoring System. To ensure this purpose, we developed integrated 3d printing control system Framework for DED & PBF and we introduce 4 monitoring system include photo diode, gas flow, acoustic and spectrometer sensors. For this study, we utilize metal 3d printing system from Conception., OKE Tech and DE&T who are still developing Metal 3D Printing Technology since 2017. In the result, we represent the latest 3D Printing Control and Monitoring System for the next 3D Printing researcher and we hope this study will be used as a basic reference and data for Cooperation between mechanic, electronic and material fields.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.357-370
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• 2015

Massive data occurred in a manufacturing place is able to fulfill very important roll to improve the manufacturing process. Domestic manufacturing business has been making an multilateral effort to react the change of manufacturing circumstance, but it undergoes many difficulties due to technical weakness. Coatings is a type of paint. It protect products by forming a film layer on the products and assigns various properties to those. The research of coatings is one of the fields studied actively in the polymer industry. The importance of the coatings in various industries is more increased. However, the industry still performs a mixing process in dependence on operator's experiences. In this paper, we propose a design for realtime monitoring system and data analysis verification TA to improve the manufacturing process using HW-SW integrated framework. Analysis results from the proposed framework are able to improve the coatings formulation process by collecting more quantitative reference data for work and providing it to work place. In particular, the framework may reduce the deterioration and loss cost which are caused by absence of a standard data as a accurate formulation criteria. It also may suggest a counterplan regarding errors which can be occurred in the future by deriving a standard calibration equation from the analysis using R and Design of Experiments about an error data generated in the mixing step.

• Journal of Information Technology Applications and Management
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• v.27 no.6
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• pp.101-116
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• 2020

This study attempts to derive critical success factors and prioritize activities for implementing the automation of software test. Software testing proceeds in five steps of test plan, test case design, test scripting & test environment setup, test execution & evaluation, and test closure. From the literature, twenty influence factors in the five steps were identified. Focus Group Interviews with ten experts in software testing selected fourteen factors on the basis of importance and feasibility. Some factors were further divided to clarify their meanings and the number of influence factors finally became twenty one. A survey on the influence factors was conducted with 75 IT professionals. An importance-feasibility analysis was applied to the survey responses and classified the influence factors into four groups of essential factors, critical factors, low priority factors, and minimal factors. Essential factors include objectives for test automation, strategies for test automation, test automation training, test automation education, setting up test automation environment, setting up test environment, test automation tool selection. Critical factors include management's continued support, management's continued interest, role of automation engineers, and skills of automation engineers. This result suggests that a lot of efforts should be put into SW test plan for the successful SW test automation and SW automation should proceed in consideration with the priorities and resource consumption.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.608-616
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• 2016

The Smith-Watrman (SW) algorithm is a local alignment algorithm which is one of important operations in DNA sequence analysis. The SW algorithm finds the optimal local alignment with respect to the scoring system being used, but it has a problem to demand long execution time. To solve the problem of SW, some methods to perform SW in distributed and parallel manner have been proposed. The ADAM which is a distributed and parallel processing framework for DNA sequence has parallel SW. However, the parallel SW of the ADAM does not consider that the SW is a dynamic programming method, so the parallel SW of the ADAM has the limit of its performance. In this paper, we propose a method to enhance the parallel SW of ADAM. The proposed parallel SW (PSW) is performed in two phases. In the first phase, the PSW splits a DNA sequence into the number of partitions and assigns them to multiple nodes. Then, the original Smith-Waterman algorithm is performed in parallel at each node. In the second phase, the PSW estimates the portion of data sequence that should be recalculated, and the recalculation is performed on the portions in parallel at each node. In the experiment, we compare the proposed PSW to the parallel SW of the ADAM to show the superiority of the PSW.