• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.197-199
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• 2012

Recently, a lot of general-purpose application programs in addition to graphic applications have been parallelized for boosting their performance using Graphic Processing Unit (GPU)'s excellent floating-point performance. In order to maximize the application performance on GPUs, optimizing the memory hierarchy and the on-chip caches such as the shared memory is essential. In this paper, we propose techniques to optimize the shared memory, and verify its effectiveness using a pattern matching application program.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.148-151
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• 2012

범용 GPU (general-purpose computing on graphics processing units, GPGPU)는 GPU를 일반적인 목적으로 사용하고자 하는 병렬 컴퓨터 구조로써, 과학 연산 등 여러 분야에서 응용 프로그램의 성능을 향상시키기 위하여 사용되고 있다. 본 연구에서는 음성인식기에서 주로 사용되는 가우시안 혼합 모델(Gaussian mixture model, GMM)에서 많은 연산시간을 차지하는 관측확률 계산의 성능을 향상시키고자 GPGPU를 이용하는 알고리즘을 구현하였으며, 기존 CPU 기반 알고리즘 대비 약 13배 연산시간을 단축하였다.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.257-262
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• 2021

Providing web services to users has become expensive in recent times. For better web services, a web server is provided with high-performance technology. To achieve great web service experiences, tools such as general-purpose graphics processing units (GPGPUs), artificial intelligence, high-performance computing, and three-dimensional simulation are widely used. However, graphics processing units (GPUs) are used in high-speed operations and have limited general applications. In this study, we developed a task queue in a GPU to improve the performance of a web service using a multiprocessor and studied how to receive and process user requests in bulk. We propose the use of a GPGPU-based task queue to process user requests more than GPGPU based a central processing unit thread, and to process more GPU threads on task queue at about 136% to 233%, and proved that the proposed method is effective for web service.

• Journal of Information Processing Systems
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• v.11 no.2
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• pp.184-204
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• 2015

Fuzzy Formal Concept Analysis (FCA) is a mathematical tool for the effective representation of imprecise and vague knowledge. However, with a large number of formal concepts from a fuzzy context, the task of knowledge representation becomes complex. Hence, knowledge reduction is an important issue in FCA with a fuzzy setting. The purpose of this current study is to address this issue by proposing a method that computes the corresponding crisp order for the fuzzy relation in a given fuzzy formal context. The obtained formal context using the proposed method provides a fewer number of concepts when compared to original fuzzy context. The resultant lattice structure is a reduced form of its corresponding fuzzy concept lattice and preserves the specialized and generalized concepts, as well as stability. This study also shows a step-by-step demonstration of the proposed method and its application.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1679-1682
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• 2005

최근 SoC를 포함하는 대부분의 임베디드시스템에서는 RTOS가 선택이 아닌 필수적인 구성요소가 됨에 따라 SoC 개발의 초기단계에서부터 RTOS를 도입하는 것이 바람직하다. 하지만, 기존의 범용 RTOS가 제공하는 기능은 대부분 응용 소프트웨어의 개발과 수행을 위한 것으로 SoC 개발 및 검증에는 적합하지 않은 문제점을 가지고 있다. 본 연구에서는 SoC 개발을 위해 운영체제가 만족시켜야할 요구사항을 제시하고, 소프트웨어의 재사용성과 SoC의 검증을 함께 지원하는 VPOS(Verification-Purpose OS)를 개발하였다. VPOS는 초경량의 단순한 계층적 구조(layered structure)를 가지는 RTOS로서 소프트웨어 재사용을 위해 POSIX 표준 API, 유닉스 호환 디바이스 드라이버 인터페이스, HAL 등을 제공한다. 또한 SoC 설계의 검증을 위해 RT 수준의 통합시뮬레이션에 적합한 커널 구조 및 최적화된 코드, 하드웨어 테스트를 위한 쉘 명령어, 응용 소프트웨어의 디버깅을 위한 KREM(kernel resource and event monitoring) 등의 특징을 함께 제공한다.

• Journal of Information Processing Systems
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• v.10 no.3
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• pp.483-490
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• 2014

In today's world, communication, the sharing of information, and money transactions are all possible to conduct via the Internet, but it is important that it these things are done by the actual person. It is possible via several means that an intruder can access user information. As such, several precautionary measures have to be taken to avoid such instances. The purpose of this paper is to introduce the idea of a one-time password (OTP), which makes unauthorized access difficult for unauthorized users. A OTP can be implemented using smart cards, time-based tokens, and short message service, but hardware based methodologies require maintenance costs and can be misplaced Therefore, the quick response code technique and personal assurance message has been added along with the OTP authentication.

• Language and Information
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• v.2 no.2
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• pp.185-220
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• 1998

The purpose of this research is to propose a set of basic guidelines for the construction of English test suites, a set of basic guidelines for the construction of Korean test suites to objectively evaluate the performance of machine translation systems. For this end, we constructed 650 English test sentences, 650 Korean test sentences, and developed the statistical methods and tools for the comparative evaluation of the English-Korean machine translation systems. It also evaluates the existing commercial English-Korean machine translation systems. The importance of this research lies in that it will promote an awareness of the importance and need of testing machine translation systems within the Natural Language Community. This research will also make a big contribution to the development of evaluation methods and techniques for appropriate test suites for Korean information processing systems. The results of this research can be used by the natural language community to test the performance and development of their information processing systems or machine translation systems.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.461-464
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• 1998

Lateral Information Propagation Neural Networks (LIPN) is proposed for on-line interpolation. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. Information propagates among neighbor nodes laterally and inter-node interpolation is achieved. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed. 1-D LIPN hardware has been implemented with general purpose analog ICs to test the interpolation capability of the proposed neural networks. Experiments with static and dynamic signals have been done upon the LIPN hardware.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.433-439
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• 2019

Artificial bee colony algorithm is a strong global search algorithm which exhibits excellent exploration ability. The conventional ABC algorithm adopts employed bees, onlooker bees and scouts to cooperate with each other. However, its one dimension and greedy search strategy causes slow convergence speed. To enhance its performance, in this paper, we abandon the greedy selection method and propose an artificial bee colony algorithm with special division and intellective search (ABCIS). For the purpose of higher food source research efficiency, different search strategies are adopted with different employed bees and onlooker bees. Experimental results on a series of benchmarks algorithms demonstrate its effectiveness.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1161-1164
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• 2004

정보통신기술의 급속한 발전과 웹을 통한 기업모델의 다양화로 인해 개인정보를 통한 새로운 경영기법의 발전은 향상되었던 반면 개인정보의 오용과 남용은 인터넷 발전의 가장 큰 저해 요소 중 하나로 대두되게 되었다. 그러므로 방대한 정보를 부당한 사용자로부터 보호하면서 개인의 프라이버시를 보장하기 위해서는 적절한 접근통제 정책이 요구되어진다. 본 논문에서는 Biba 모델의 엄격한 무결성 정책에 대한 접근모드, 시스템 상태정보 그리고 주체의 생성과 실행에 따른 제약조건을 기술하였다. 또한, 객체의 용도(purpose)와 접근권한의 제약조건으로 구성되는 컨텍스트를 엄격한 무결성 정책에 적용하므로서 주체에 의한 객체정보의 임의적 연산을 방지하므로서 객체 정보를 보호할 수 있다.