• 산업공학
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• 제23권3호
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• pp.229-238
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• 2010

Virtual metrology (VM), a critical component of semiconductor manufacturing, is an efficient way of assessing the quality of wafers not actually measured. This is done based on a model between equipment sensor data (obtained for all wafers) and the quality characteristics of wafers actually measured. This paper considers principal component regression (PCR), partial least squares regression (PLSR), kernel PCR (KPCR), and kernel PLSR (KPLSR) as VM models. For each regression model, two cases are considered. One utilizes all explanatory variables in developing a model, and the other selects significant variables using the genetic algorithm (GA). The prediction performances of 8 regression models are compared for the short- and long-term etch process data. It is found among others that the GA-KPLSR model performs best for both types of data. Especially, its prediction ability is within the requirement for the short-term data implying that it can be used to implement VM for real etch processes.

• 정보보호학회지
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• 제8권4호
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• pp.63-76
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• 1998

미국을 비롯한 정보보호 기술 선진국에서는 일반 기업은 물론 정부 차원에서 안전한 운영체제(Secure Operating System) 개발에 적극적으로 나서고 있다. 운영체제 기술 발전의 흐름에 따라 안전한 운영체제 또한 기존의 IK(Integrated Kernel)방식도다는 MK(Micro Kernel)방식으로 DTOS(Distriibuted Trusted Operating System) 프로토타입(protorype)구현을 끝으로 종료된 Synergy연구 과제의 후속으로 현재 Flask 프로젝트가 진행 중이다. Flask커널 역시 이러한 MK를 기반으로 하고 있으며 현재 Flask 보안 커널 개발 프로젝트는 Flux연구 과제의 주요 주제 중 하나로 진행중이다. DTOS연구 과제의 명맥을 잇는 Flask젝트는 보안 커널에 대한 적극적이고 지속적인 미국 정부차원의 노력인 것이다. 본 논문에서는 주요 정보통신 기반 구조의 보호를 위한 보안 커널 (Security Kernel) 개발 동향을 파악하기 위해 현재 미국에서 진행중인 보안커널 개발 동향 및 연구 내용에 대해 분석한다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.171-178
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• 2004

This study suggests a general paradigm enhancing genetic mutability. Mutability among heterogeneous members in a genetic population has been a major problem in application of genetic programming to diverse business problems. This suggested paradigm is implemented to developing new methods from existing methods. Within the evolutionary approach taken to designing new methods, a general representation scheme of the genetic programming framework, called a kernel, is introduced. The kernel is derived from the literature of algorithms and heuristics for combinatorial optimization problems. The commonality and differences among these methods have been identified and again combined by following the genetic inheritance merging them. The kernel was tested for selected methods in combinatorial optimization. It not only duplicates the methods in the literature, it also confirms that each of the possible solutions from the genetic mutation is in a valid form, a running program. This evolutionary method suggests diverse hybrid methods in the form of complete programs through evolutionary processes. It finally summarizes its findings from genetic simulation with insight.

• 디지털산업정보학회논문지
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• 제8권3호
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• pp.49-55
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• 2012

Recently, with the rapid development of android-based smartphones, it is becomes a major security issue that the case of Android platform is an open platform. so it is easy to be a target of mobile virus penetration and hacking. Even there are a variety of security mechanisms to prevent the vulnerable points of the Android platform but the reason of most of the security mechanisms were designed at application-level that highly vulnerable to the attacks directly to the operating system or attacks using the disadvantages of an application's. It is necessary that the complementary of the android platform kernel blocks the kernel vulnerability and the application vulnerability. In this paper, we proposed a secure system using linux-based android kernel applied to LIDS(Linux Intrusion Detection and Defense System) and applied a smart phone with s5pc110 chip. As a result, the unauthorized alteration of the application was prevented with a proposed secure system.

• Journal of information and communication convergence engineering
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• 제20권3호
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• pp.195-203
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• 2022

Noise generated during image acquisition and transmission can negatively impact the results of image processing applications, and noise removal is typically a part of image preprocessing. Denoising techniques combined with nonlocal techniques have received significant attention in recent years, owing to the development of sophisticated hardware and image processing algorithms, much attention has been paid to; however, this approach is relatively poor for edge preservation of fine image details. To address this limitation, the current study combined a steering kernel technique with adaptive masks that can adjust the size according to the noise intensity of an image. The algorithm sets the steering weight based on a similarity comparison, allowing it to respond to edge components more effectively. The proposed algorithm was compared with existing denoising algorithms using quantitative evaluation and enlarged images. The proposed algorithm exhibited good general denoising performance and better performance in edge area processing than existing non-local techniques.

• 한국정보과학회논문지:시스템및이론
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• 제30권10호
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• pp.533-543
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• 2003

클러스터에 대한 관심이 증가함에 따라 클러스터의 고가용성(high availability)을 보장하기 위한 그룹 통신 시스템의 연구가 활발하다. 하지만 클러스터를 이용한 커널 수준 응용 프로그램 개발에 활용할 수 있는 커널 수준의 그룹 통신 시스템은 전무하며, 기존에 개발되어 있는 사용자 수준 그룹 통신시스템을 그대로 커널 수준에서 사용하는 것은 무리가 있다. 본 논문에서는 클러스터의 고 가용성 보장을 위하여 리눅스 커널 상에서 구현된 그룹 통신 시스템인 KCGCS(Kernel-level Cluster Group Communication System)를 설계하고 구현하였다. KCGCS는 기존 사용자 수준의 시스템들과는 달리 경량(light weight)의 핫빗(heartbeat) 메시지와 링(ring) 구조의 핫빗 메커니즘을 사용하여 확장성 있는 장애 상황 발견 메커니즘을 구현하였다. 또한 멤버쉽 관리 측면에서 KCGCS는 중앙 집중된 기존의 방법과는 달리 분산된 코디네이터를 사용하여 신뢰성을 향상시켰다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1616-1616
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• 2001

To select kernels for breeding that have required constituent content from either naturally distributed samples or artificially mutated ones, it is necessary to process batch samples in a short time. The constituent content of single-kernel grains such as wheat and rice has been determined using conventional bench type NIR instruments; however, it takes a lot of time and effort. Shizuoka Seiki (Fukuroi-city, Japan) and NFRI (National Food Research Institute) of MAFF (Ministry of Agriculture, forestry and Fisheries of Japan) have jointly developed a continuous high-speed single-kernel brown rice sorting machine based on rice protein content. It consists of several sections such as a feeding mechanism, measuring unit, sorting mechanism and controlling PC. The feeding mechanism picks up single-kernel brown rice from the hopper (maximum of 5kg storage capacity) and sends it to the measuring unit. A spectrum of the brown rice is obtained in the measuring unit, which consists of a near-infrared array sensor. The brown rice is then sorted in the sorting mechanism based on its protein content estimated by the controlling PC. In the present study, measuring speed was approximately 500ms for the full spectrum range and overall sorting speed was approximately 2.8s for one kernel. Accuracy of estimation was approximately SEP=0.5% of dry matter protein content for nonglutinous rice.

• 산업경영시스템학회지
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• 제44권3호
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• pp.117-124
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• 2021

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.

• 정보보호학회논문지
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• 제11권4호
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• pp.33-43
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• 2001

본 논문은 리눅스 운영체제의 커널 수준에서 다중등급 보안기능 등을 추가적으로 구현한 보안 운영체제를 제시한다. 최근 Firewall, IDS와 같은 응용 프로그램 수준에서의 보안 제품은 기존의 부족한 운영체제 보안 기능을 이용하기 때문에 해킹 등에 취약점을 보이고 있다. 그러나 국내에서의 보안 리눅스 운영체제의 개발은 이제 시작 단계이며, 미국에서는 NSA에서 프로토타입을 개발하였으나 구현기술의 일부만 공개하고 있는 실정이다. 따라서 본 논문에서 상용화 수준으로 개발한 다중등급 보안커널 기능의 보안 리눅스 운영체제는 TCSEC B1급에서 정한 기능을 만족하며, 커널모드 암호화, DB를 이용한 실시간 감사추적, root의 권한 제한 등의 추가적 기능을 제공한다.

• 한국CDE학회논문집
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• 제13권5호
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• pp.334-341
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• 2008

Computer-aided engineering (CAE) analysis is considered essential for product development because it decreases the simulation time, reduces the prototyping costs, and enhances the reusability of product parts. The reuse of quality-assured CAE data has been continually increasing due to the extension of product lifecycle management; PLM, which is widely used, shortens the product development cycle and improves the product quality. However, less attention has been paid to systematic research on the interoperability of CAE data because of the diversity of CAE data and because the structure of CAE data is more complex than that of CAD data. In this paper, we suggest a CAE data exchange method for the effective sharing of geometric and analysis data. The method relies on heterogeneous CAE systems, a virtual reality system, and our developed CAE middleware for CAE data exchange. We also designed a generic CAE kernel, which is a critical part of the CAE middleware. The kernel offers a way of storing analysis data from various CAE systems, and, with the aid of a script command, enabling the data to be translated for a different system. The reuse of CAE data is enhanced by the fact that the CAE middle-ware can be linked with a virtual reality system or a product data management system.