• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 춘계학술대회 논문집
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• pp.209-214
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• 2003

This study presents the analysis of ball end milling machinability and its application to the determination of the optimum feedrate in the CNC machining process of sculptured surface. The methods which estimate the cutting force system is approached experimentally. The estimation strategy, named technological processor, was applied to the machining process of sculptured surface for finding optimum variable feedrate. From the result of practical implementation for the test model, it is ascertain that the technological processor have brought the dispersion of force profiles. As compared with conventional imposing of cutting conditions, the machining time has reduced by more than 60%.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2410-2413
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• 2005

Finite element method (FEM) has been widely used as a useful numerical method that can analyze complex engineering problems in electro-magnetics, mechanics, and others. CEMTool, which is similar to MATLAB, is a command style design and analyzing package for scientific and technological algorithm and a matrix based computation language. In this paper, we present new 3D FEM package in CEMTool environment. In contrast to the existing CEMTool 2D FEM package and MATLAB PDE (Partial Differential Equation) Toolbox, our proposed 3D FEM package can deal with complex 3D models, not a cross-section of 3D models. In the pre-processor of 3D FEM package, a new 3D mesh generating algorithm can make information on 3D Delaunay tetrahedral mesh elements for analyses of 3D FEM problems. The solver of the 3D FEM package offers three methods for solving the linear algebraic matrix equation, i.e., Gauss-Jordan elimination solver, Band solver, and Skyline solver. The post-processor visualizes the results for 3D FEM problems such as the deformed position and the stress. Consequently, with our new 3D FEM toolbox, we can analyze more diverse engineering problems which the existing CEMTool 2D FEM package or MATLAB PDE Toolbox can not solve.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.10-14
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• 2005

In this paper, we highlight the development of a web application system. Its main objective is to provide pathway visualization functionalities for inter-cytokine relationships, as well as for other types of relationships, with a specific cytokine(s) of interest. A natural language processor is first used to extract information from a certain web page that concerns the cytokine(s) of interest. The results obtained are then further processed and then displayed graphically to the user. The system displays how the cytokine(s) of interest interacts with other cytokines and cells. Useful information such as the type of reaction and catalyst involved, if any, are also displayed. In addition, the system also offers functionalities for graphical manipulations of the visualized pathways. The system has been shown to provide better overview, and hence, improved learning to readers who are new to this field by virtue of accurate inputs obtained from the natural language processing module.

• Journal of Information Processing Systems
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• 제8권1호
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• pp.145-158
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• 2012

Hyperelliptic Curve Cryptosystem (HECC) is well suited for all kinds of embedded processor architectures, where resources such as storage, time, or power are constrained due to short operand sizes. We can construct genus 3 HECC on 54-bit finite fields in order to achieve the same security level as 160-bit ECC or 1024-bit RSA due to the algebraic structure of Hyperelliptic Curve. This paper explores various possible attacks to the discrete logarithm in the Jacobian of a Hyperelliptic Curve (HEC) and addition and doubling of the divisor using explicit formula to speed up the scalar multiplication. Our aim is to develop a cryptosystem that can sign and authenticate documents and encrypt / decrypt messages efficiently for constrained devices in wireless networks. The performance of our proposed cryptosystem is comparable with that of ECC and the security analysis shows that it can resist the major attacks in wireless networks.

• 전자통신동향분석
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• 제35권7호
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• pp.13-22
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• 2020

There is no denying that computing power has been a crucial driving force behind the development of artificial intelligence today. In addition, artificial intelligence (AI) semiconductors and computing systems are perceived to have promising industrial value in the market along with rapid technological advances. Therefore, success in this field is also meaningful to the nation's growth and competitiveness. In this context, ETRI's AI strategy proposes implementation directions and tasks with the aim of strengthening the technological competitiveness of AI semiconductors and computing systems. The paper contains a brief background of ETRI's AI Strategy #2, research and development trends, and key tasks in four major areas: 1) AI processors, 2) AI computing systems, 3) neuromorphic computing, and 4) quantum computing.

• 대한산업공학회지
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• 제20권4호
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• pp.153-180
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• 1994

The assemblability is determined by the structure of product and the relationship between composing parts and machining parts. In this paper, the bolt was divided into bolt-head, -shaft, -thread and -end. For higher assemblability in bolting process, it was analyzed the geometric and technological characteristics of bolts were analysed regarding pre- and in-assembly process. And this paper presents the knowledge-based expert system to assist for designer in the processor of designing bolt for easier assembly. The developed expert system for supporting bolt design assemblability which is named as BDFA SYSTEM consists of two system such as "BOLT DESIGN SYSTEM" which provide feasible assembly bolt design to designer and "EVALUATION SYSTEM" which provide assembly evaluation to alternative of bolt design.

• 응용통계연구
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• 제15권2호
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• pp.201-211
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• 2002

최근 정보기술 분야의 급속한 발전과 더불어 기업 및 사회 각 분야의 데이터베이스에 쌓이고 있는 데이터의 양도 급격히 증가하고 있다. 이러한 관점에서 데이터마이닝이 큰 주목을 받고 있으며, 다양한 데이터마이닝 기법들을 이용하여 여러 가지 분석을 보다 손쉽게 수행할 수 있는 상용화된 소프트웨어들이 많이 개발되고 있다. 이들 데이터마이닝 소프트웨어들은 여러 가지 관점에서 서로 다른 모습을 가지고 있는데, 따라서 이들의 기능과 성능은 많은 사용자들의 큰 관심이 되고 있다. 본 연구에서는 현재 널리 사용되고 있는 몇 가지 데이터마이닝 소프트웨어들에 대해 기능상의 차이점 및 실제 사용에 있어서의 효율 등을 비교하고자 한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.219-223
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• 2001

This paper proposed the Automatic defect testing technology which used in the defect test of printed things and external shapes in the precision industry. According to adapting the very high speed image processor called ASIC for high resolution. This system also realized that the System being able to perform the very high speed resolution testing. As the image processing algorithm, Run-length coding, Multi-level threshold and fast-adaptive line matching were applied.

• 항공우주산업기술동향
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• 제8권2호
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• pp.98-104
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• 2010

광학위성영상의 다양한 활용성을 바탕으로 위성영상에 대한 다양하고 많은 수요가 지속적으로 증대되고 있다. 그러나, 태양광에 의한 영상획득을 기반으로 하는 광학영상의 획득은 기상상황 및 밤낮에 대한 제약을 가지고 있을 수 밖에 없다. 이에 따라 전파를 이용한 영상레이더(Synthetic Aperture Radar; SAR)를 통한 영상획득은 위성영상 수요 활성화 및 다양한 활용분야에 수요를 증가시키고 있다. 본 논문에서는 고품질의 레이더영상을 획득하기 위해 반드시 필요한 영상레이더의 검보정을 위한 시스템을 논의하고자 한다.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.191-202
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• 2021

In an Internet of Things (IoT)-configured system, each device executes on-chip software. Recent IoT devices require fast execution time of complex services, such as analyzing a large amount of data, while maintaining low-power computation. As service complexity increases, the service requires high-performance computing and more space for embedded space. However, the low performance of IoT edge devices and their small memory size can hinder the complex and diverse operations of IoT services. In this paper, we propose a remote on-demand software code execution unit using the cloudification of on-chip code memory to accelerate the program execution of an IoT edge device with a low-performance processor. We propose a simulation approach to distribute remote code executed on the server side and on the edge side according to the program's computational and communicational needs. Our on-demand remote code execution unit simulation platform, which includes an instruction set simulator based on 16-bit ARM Thumb instruction set architecture, successfully emulates the architectural behavior of on-chip flash memory, enabling embedded devices to accelerate and execute software using remote execution code in the IoT environment.