• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2005년도 추계학술대회 논문집 Vol.18
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• pp.117-120
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• 2005

The SONOS devices have been fabricated by the conventional $0.35{\mu}m$ complementary metal-oxide-semiconductor (CMOS) process with NOR array. Two-bit operation using conventional process achieve the high density memory compare with other two-bit memory. Lateral diffusion phenomenon in the two-bit operation cause soft error in the memory. In this study, the programming conditions arc investigated in order to reduce lateral diffusion for two-bit operation of CSL-NOR type SONOS flash cell.

• Journal of Mechanical Science and Technology
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• 제14권3호
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• pp.306-313
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• 2000

The homogenization method and the density function method are common approaches to evaluate the equivalent material properties for design cells composed of matter and void. In this research, using a new topology optimization method based on the homogenized material with a penalty factor and the chessboard prevention strategy, we obtain the optimal layout of a structure for the natural frequency of a designated mode. The volume fraction of nodes of each finite element is chosen as the design variable and a total material usage constraint is imposed. In this paper, the subspace method is used to evaluate the eigenvalue and its corresponding eigenvector of the structure for the designated mode and the recursive quadratic programming algorithm, PLBA algorithm, is used to solve the topology optimization problem.

• Transactions on Electrical and Electronic Materials
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• 제7권4호
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• pp.180-183
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• 2006

We report for the first time two-bit operational characteristics of a high-density NOR-type polysilicon-oxide-nitride-oxide-silicon (SONOS) array with common source line (CSL). An undesired disturbance, especially drain disturbance, in the NOR array with CSL comes from the two-bit-per-cell operation. To solve this problem, we propose an efficient bulk-biased programming technique. In this technique, a bulk bias is additionally applied to the substrate of memory cell for decreasing the electric field between nitride layer and drain region. The proposed programming technique shows free of drain disturbance characteristics. As a result, we have accomplished reliable two-bit SONOS array by employing the proposed programming technique.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.319-327
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• 2022

Robots for construction sites, although not deeply widespread, are finding applications in the duties of project monitoring, material movement, documentation, security, and simple repetitive construction-related tasks. A significant shortcoming in the use of robots is the complexity involved in programming and re-programming an automation routine. Robotic programming is not an expected skill set of the traditional construction industry professional. Therefore, this research seeks to deliver a low-cost approach toward re-programming that does not involve a programmer's skill set. The researchers in this study examined an approach toward programming a terrestrial-based drone so that it follows a taped path. By doing so, if an alternative path is required, programmers would not be needed to re-program any part of the automated routine. Changing the path of the drone simply requires removing the tape and placing a different path - ideally simplifying the process and quickly allowing practitioners to implement a new automated routine. Python programming scripts were used with a DJI Robomaster EP Core drone, and a terrain navigation assessment was conducted. The study examined the pass/fail rates for a series of trial run over different terrains. The analysis of this data along with video recording for each trial run allowed the researchers to conclude that the accuracy of the tape follow technique was predictable on each of the terrain surfaces. The accuracy and predictability inform a non-coding construction practitioner of the optimal placement of the taped path. This paper further presents limitations and suggestions for some possible extended research options for this study.

• Computational Structural Engineering : An International Journal
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• 제1권1호
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• pp.21-29
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• 2001

The general topology optimization can be considered as optimal material distribution. Such an approach can be unstable, unless composite materials are introduced. In this research, a nodal volume fraction method is used to obtain the optimum topology of continuum structures. This method is conducted from a composite material model composed of isotropic matter and spherical void. Because the appearance of the chessboard patterns makes the interpretation of the optimal material layout very difficult, this method contains a chessboard prevention strategy. In this research, several topology optimization problems are presented to demonstrate the validity of the present method and the recursive quadratic programming algorithm is used to solve the topology optimization problems.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 추계학술대회논문집A
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• pp.345-350
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• 2000

In this paper, we introduce a new artificial material model for topology optimization. The present material model, named S-shape material model, accelerates topology optimization process especially in mathematical programming. We overcome the instability and the flatness in heuristic optimization process. Numerical examples show the superiority of the proposed material.

• 정보교육학회논문지
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• 제16권2호
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• pp.265-273
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• 2012

현재 컴퓨터교육은 컴퓨터의 활용보다는 컴퓨터과학을 통한 창의성 신장 교육으로 비중을 높이고 있다. 이에 따라 창의성 교육의 측면에서 로봇을 활용하는 프로그래밍 교육은 컴퓨터교육 연구의 주요 과제로 떠오르고 있다. 로봇 프로그래밍에 관련된 기존 연구를 살펴보면 주로 로봇 프로그래밍 교육의 효과 및 교육과정 개발에 대한 연구가 주를 이루고 있으며, 점차 구체적인 학습 방법에 대한 연구로 초점이 이동되고 있는 추세이다. 본 연구에서는 로봇프로그래밍 학습 방법으로서 예제의 활용에 주목하고 있다. 예제는 프로그래밍을 가르치고 배우는데 중요한 역할을 하며, 학생과 교사 모두에게 유용한 유형의 학습 자료로 인식된다. 또한, 예제는 학습자가 프로그래밍을 할 때 기본틀, 가이드라인, 힌트 제공의 역할을 수행할 수 있다. 본 연구에서는 로봇 프로그래밍 교육을 위한 NXC 예제를 개발하고, 이를 학습자들이 쉽게 활용할 수 있는 지원 시스템을 개발하였다. 이 지원 시스템은 최근 관심이 집중되고 있는 스마트 교육의 동향에 따라 모바일 웹 애플리케이션으로 개발하였다.

• 정보교육학회논문지
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• 제14권2호
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• pp.189-197
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• 2010

본 논문에서는 초등정보교육과정의 "문제해결방법과 절차" 영역에 필요한 알고리즘적 사고 문제 모델을 활용하고, 초등 로봇 프로그래밍 내용 요소를 적용하여 초등 로봇프로그래밍 알고리즘적 사고 문제를 제안하였다. 그리고 개발된 초등 로봇프로그래밍 알고리즘적 사고 문제들에 대해 실험 수업을 실시하여 알고리즘적 사고에 따른 답안들의 다양성과 효율성 및 개발된 문제들의 난이도 적절성에 대한 분석을 통해, 본 논문에서 제안된 문제들이 여러 형태의 답안이 도출될 수 있는 알고리즘적 사고의 다양성을 갖으며, 초등 단계에서 문제를 해결하는데 큰 어려움을 느끼지 않는 적절한 난이도를 나타내고 있음을 확인하였다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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• pp.772-775
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• 2006

현재 많은 대학의 학과 또는 전공에서 절차지향 프로그래밍 언어 및 객체지향 프로그래밍 언어 관련 과목이 개설되어 있지만, 이 두 개념을 비교하면서 서로의 차이점, 장단점을 뚜렷하게 이해할 수 있는 종합적인 과목은 없다. 본 논문에서는 절차지향적 프로그래밍 및 객체지향적 프로그래밍 기법을 비교 및 분석하고, 하나의 수업 상에서 동시에 이를 비교하고 실습을 진행할 수 있는 교과목 자료 및 관련 웹 콘텐츠를 개발하였다. 이를 통하여 각각의 프로그래밍 기법의 이해는 물론, 두 프로그래밍 기법의 장단점 파악 및 응용 활용 능력을 배양할 수 있도록 하였다.

• 한국산업정보학회논문지
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• 제1권1호
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• pp.29-62
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• 1996

In this paper, the problem of determining cyclic schedules for a material handling hoist in the printed-circuit-board(PCB) electroplating line is considered. The objective of this research is to determine an optimal simple-cycle schedule of the hoist which in turn maximizes the line throughput rate. Previous approaches to the cyclic hoist scheduling problem are all mathematical programming-based approaches to develop cyclic schedules(Mixed Integer Programming, Linear Programming based Branch and Bound, Branch and Bound Search Method and so on). In this paper, a genetic algorithm-based approach for a single hoist scheduling in the PCB electroplating line is described. Through some experiments for the well known example data and randomly generated data, the proposed algorithm is shown to be more efficient than the previous mathematical programming-based algorithm.