• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.39-42
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• 2004

공간 질의 및 색인에 관한 기존 연구는 주로 실외 환경에 기반을 두고 있다. 실내 환경은 실외 환경과는 달리 질의 특성 및 환경적 요소가 다르다. 실내 환경 질의의 대표적인 특징은 객체의 현재 위치를 파악하고 즉시 응답해야하며, 질의 범위도 지역적으로 제한되어 있는 점이다. 본 논문에서는 기존 연구가 가진 문제점을 해결하기 위해 메인 메모리 기반의 DBMS를 사용하며, 실내 환경에서 객체의 위치 탐색시 효율적으로 적응할 수 있는 비트맵 인덱스 기법을 제안한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.547-556
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• 1997

In this paper we suggest a dynamic quota allocation mechansim for B-ISDN(Broadband Integrated Services Digital Network) subscriber networks. The quota adaptation decision based on the number of cells in the transmission queue is made distributively by each node in the ring network. This mechanism provides both fairness and efficiency for it enables each node to adapt its quota under asymmetric traffic condition. The simulation results show that substantial improvements in access delay time and throughput can be achieved with this algorithm.

• Proceedings of the KIEE Conference
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• 2001.10a
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• pp.51-53
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• 2001

Permanent Magnet DC Motors are widely used in Automotive parts because they have cheap price, simple structure and high torque-speed ratio. But the motor in automotive parts is required high quality, complex function and lower price than before. This paper deals with design of controller for safety function that body trap on the automotive window. The algorithm of controller can adapt variety conditions with temperature, electrical, driving, etc.

• The Pure and Applied Mathematics
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• v.11 no.2
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• pp.103-115
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• 2004

A computational algorithm is developed for fitting given data in the plane or in 3-space by implicitly defined quadrics. Implicity implies that the type of the quadric is part of the model and need not be known in advance. Starting with some estimate for the coefficients of the quadric the method will alternatively determine the shortest distances from the given points onto the quadric and adapt the coefficients such as to reduce the sum of those squared distances. Numerical examples are given.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.536-538
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• 2003

우리는 4G 셀룰라 망에서 hot spot 셀 문제를 해결하기 위해 핸드오프 시간을 동적으로 사용하는 기법을 제안한다. 즉, hot spot 셀에서 나가는 핸드오프는 가능한 빠르게 수행하여 셀 부하를 줄이고 hot spot 셀로 들어가는 핸드오프는 가능한 느리게 수행하여 사용자의 연결 품질을 최대한 고려하는 알고리즘이다. 4G 망의 특징을 고려하여 hard handoff 절차를 가지면서 기존의 mobile-assisted network-controlled handoff를 그대로 사용하여 36에서의 전이가 용이하다. 그리고 mobile IP 분야에서 연구되던 사전 등록 기법과 버퍼에 의한 저장 기법을 활용하여 핸드오프의 신뢰성을 높였다.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.6
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• pp.299-305
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• 2020

We have developed a scheduler that additionally consider network performance by extending the Kubernetes developed to manage lots of containers in cloud computing nodes. The network delay adapt characteristics of the compute nodes were learned during server operation and the learned results were utilized to develop placement algorithm by considering the existing measurement units, CPU, memory, and volume together, and it was confirmed that the low delay network service was provided through placement algorithm.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.798-801
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• 1993

This paper presents the decision support system using fuzzy knowledge to adapt the cutting conditions chosen by a conventional expert system to a particular machine tool, workpiece and clamping system. These preliminary results demonstrate the capability of fuzzy logic to adjust cutting parameters taking into account parameters difficult to quantify.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.59-63
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• 2023

We create a malware detector classification method with using the Sequential Probability Ratio Test (SPRT) in IoT. More specifically, we adapt the SPRT to classify malware detectors into two categories of basic and advanced in line with malware detection capability. We perform evaluation of our scheme through simulation. Our simulation results show that the number of advanced detectors is changed in line with threshold for fraction of advanced malware information, which is used to judge advanced detectors in the SPRT.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2895-2912
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• 2014

Content-based image retrieval has been the most important technique for managing huge amount of images. The fundamental yet highly challenging problem in this field is how to measure the content-level similarity based on the low-level image features. The primary difficulties lie in the great variance within images, e.g. background, illumination, viewpoint and pose. Intuitively, an ideal similarity measure should be able to adapt the data distribution, discover and highlight the content-level information, and be robust to those variances. Motivated by these observations, we in this paper propose a probabilistic similarity learning approach. We first model the distribution of low-level image features and derive the free energy kernel (FEK), i.e., similarity measure, based on the distribution. Then, we propose a learning approach for the derived kernel, under the criterion that the kernel outputs high similarity for those images sharing the same class labels and output low similarity for those without the same label. The advantages of the proposed approach, in comparison with previous approaches, are threefold. (1) With the ability inherited from probabilistic models, the similarity measure can well adapt to data distribution. (2) Benefitting from the content-level hidden variables within the probabilistic models, the similarity measure is able to capture content-level cues. (3) It fully exploits class label in the supervised learning procedure. The proposed approach is extensively evaluated on two well-known databases. It achieves highly competitive performance on most experiments, which validates its advantages.

• Journal of Korean Ophthalmic Optics Society
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• v.10 no.4
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• pp.411-417
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• 2005

The aim of this study was to investigate the ability for wearers in adapting to the Pure Vision contact lens. Methods: Subjects consisted of 78 university students who were analyzed by subjective and objective methods. During each day of use or extended wear, results relative to clinically adapt were analyzed over a period of one week. Results: 1. Visual function status Good 62.3%, Moderate 27.2%, Bad 10.6% 2. Side affects No sensation 76.12%, Moderate sensation 18.21%, Excessive sensation 6.5% 3. Lens handling ability Skillful 97.44%, Difficult 2.56% 4. Understanding Pure Vision lens characteristics 50.64% understood very well Conclusions: Most Pure Vision contant lens wearers had a good clinical response both subjectively and objectively but about one half did not understand fully the lens characteristics.