• 한국인터넷방송통신학회논문지
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• 제20권1호
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• pp.107-112
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• 2020

본 연구에서는 IEEE 802.1 time sensitive network(TSN) task group(TG)에서 표준화 중인 asynchronous traffic shaping (ATS) 기술에서 제시된 minimal interleaved regulator(IR) 개념을 확장 적용한 통합 플로우 기반 지연시간 보장 프레임워크를 분석하였다. 해당 프레임워크는 단위 네트워크의 출력포트에 IR을 적용하여 burst 축적을 방지하면서, 동시에 단위 네트워크 안에서는 입출력 포트를 기준으로 플로우를 통합하여 복잡도를 낮출 수 있다. 본 연구에서는 다양한 파라미터들 가진 네트워크에서의 수치적 분석을 통해서, 제안된 낮은 복잡도의 프레임워크의 성능이 기존 integrated services (IntServ) 프레임워크보다 더 우수하거나 비슷함을 보였다. 특히 통합 플로우의 크기와 단위 네트워크의 크기가 클수록 성능이 우수해짐을 확인하였다.

• 정보보호학회논문지
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• 제25권5호
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• pp.979-984
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• 2015

본 논문에서는 타입 II 최적 정규기저를 갖는 유한체 $GF(2^n)$의 Semi-Systolic 곱셈기를 제안한다. 본 곱셈기는 기존의 2012년에 발표된 Chiou 등의 곱셈기에 비해 공간복잡도 면 에서는 전체 트랜지스터가 $2n^2+44n+26$개 줄고 시간복잡도는 4 클럭 감소한다. 즉, NIST의 ECDSA를 위한 권장 유한체 $GF(2^{333})$인 경우 공간복잡도는 6.4% 줄고 시간복잡도는 2% 정도 줄어든다. 또한 이 구조는 2009년에 Chiou 등이 제안한 동시오류탐지 및 정정방법을 그대로 적용할 수 있는 장점도 있다.

• ETRI Journal
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• 제36권3호
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• pp.407-417
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• 2014

A new-generation video coding standard, named High Efficiency Video Coding (HEVC), has recently been developed by JCT-VC. This new standard provides a significant improvement in picture quality, especially for high-resolution videos. However, one the most important challenges in HEVC is time complexity. A quadtree-based structure is created for the encoding and decoding processes and the rate-distortion (RD) cost is calculated for all possible dimensions of coding units in the quadtree. This provides a high encoding quality, but also causes computational complexity. We focus on a reduction scheme of the computational complexity and propose a new approach that can terminate the quadtree-based structure early, based on the RD costs of the parent and current levels. Our proposed algorithm is compared with HEVC Test Model version 10.0 software and a previously proposed algorithm. Experimental results show that our algorithm provides a significant time reduction for encoding, with only a small loss in video quality.

• 전기학회논문지
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• 제66권9호
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• pp.1402-1408
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• 2017

Recently, services for personal biometric data analysis based on real-time monitoring systems has been increasing and many of them have focused on recognition of emotions. In this paper, we propose a classification model to classify anxiety emotion using biometric data actually collected from people. We propose to deploy the support vector machine to build a classification model. In order to improve the classification accuracy, we propose two data pre-processing procedures, which are normalization and data deletion. The proposed algorithms are actually implemented based on Real-time Traffic Flow Measurement structure, which consists of data collection module, data preprocessing module, and creating classification model module. Our experiment results show that the proposed classification model can infers anxiety emotions of people with the accuracy of 65.18%. Moreover, the proposed model with the proposed pre-processing techniques shows the improved accuracy, which is 78.77%. Therefore, we can conclude that the proposed classification model based on the pre-processing process can improve the classification accuracy with lower computation complexity.

• 정보과학회 논문지
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• 제42권3호
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• pp.361-366
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• 2015

틈(Gap) 파싱은 완전하지 않고 틈이 있는 입력 스트링에 대한 구문 분석을 수행한다. 이런 틈 파싱에 관한 기존 연구로서 임의의 문법에 대한 단일 틈 파싱 알고리즘과 LL(1) 문법에 대한 단일 틈 파싱 알고리즘이 제안되었으며, 이들의 시간복잡도는 각각 $O(n^3)$와 $O(n^2)$이다. 본 논문에서는 확장된 PLR(1) 문법에 대한 단일 틈 파싱 알고리즘을 제안한다. 확장된 PLR(1) 문법은 LR(1) 문법의 부분 클래스이지만 LL(1) 문법보다는 휠씬 넒은 범위의 문법 클래스이다. 이 문법 클래스에 대한 단일 틈 파싱 알고리즘이 LL(1) 문법에 대한 기존에 알려진 단일 틈 파싱 알고리즘의 복잡도와 동일한 $O(n^2)$임을 보인다.

• 유통과학연구
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• 제15권7호
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• pp.35-41
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• 2017

Purpose - A product bundling is a marketing approach where multiple products or components are packaged together into one bundle solution. This paper aims to introduce an optimal bundle search problem (hereinafter called "OBSP") which may be embedded with online recommendation system to provide an optimized service considering pairwise discount and delivery cost. Research design, data, and methodology - Online retailers have their own discount policy and it is time consuming for online shoppers to find an optimal bundle. Unlike an online system recommending one item for each search, the OBSP considers multiple items for each search. We propose a mathematical formulation with numerical example for the OBSP and analyzed the complexity of the problem. Results - We provide two results from the complexity analysis. In general case, the OBSP belongs to strongly NP-Hard which means the difficulty of the problem while the special case of OBSP can be solved within polynomial time by transforming the OBSP into the minimum weighted perfect matching problem. Conclusions - In this paper, we propose the OBSP to provide a customized service considering bundling price and delivery cost. The results of research will be embedded with an online recommendation system to help customers for easy and smart online shopping.

• 한국멀티미디어학회논문지
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• 제18권2호
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• pp.149-157
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• 2015

The 3D-AVC standard aims at improving coding efficiency by applying new techniques for utilizing intra, inter and view predictions. 3D video scenes are rendered with existing texture video and additional depth map. The depth map comes at the expense of increased computational complexity of the encoding process. For real-time applications, reducing the complexity of 3D-AVC is very important. In this paper, we present a fast intra mode decision algorithm to reduce the complexity burden in the 3D video system. The proposed algorithm uses similarity between texture video and depth map. The best intra prediction mode of the depth map is similar to that of the corresponding texture video. The early decision algorithm can be made on the intra prediction of depth map coding by using the coded intra mode of texture video. Adaptive threshold for early termination is also proposed. Experimental results show that the proposed algorithm saves the encoding time on average 29.7% without any significant loss in terms of the bit rate or PSNR value.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.332-335
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• 2007

본 논문에서는 버퍼를 이용한 가변적인 트래픽을 제어에서 영상의 품질 변화를 최소화 하는 방법을 제안한다. 제안하는 알고리즘은 반복적인 최적화 방법을 사용하지 않고 프레임 레이어에서 전송률을 제어하는 방법으로 영상 프레임간의 왜곡의 변화를 최소화한다. 그리고 버퍼의 정보를 비트율에 효과적으로 반영하기 위하여 제어 시스템에서 많이 사용되는 PID 제어를 하였다. PID 제어는 많은 계산량을 필요로 하지 않기 때문에 제안하는 알고리즘은 낮은 계산량을 필요로 하는 실시간 영상코덱에 적당한 알고리즘이다. 제안하는 알고리즘과 기존의 알고리즘간의 비교 실험은 제안하는 알고리즘이 PSNR 성능에서 기존의 알고리즘 보다 우수함을 보여준다.

• ETRI Journal
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• 제11권1호
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• pp.109-122
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• 1989

We developed new quadtree and octree representation schemes which reduce the storage requirements from exponential to polynomial. The new schemes not only lessen the large storage requirements of the existing quadtree and octree representation schemes but guarantee an exact representation of the original object. These are made possible by adopting a new set of termination conditions that ensure finiteness of the quadtree and octree during the decomposition. These new data structures are analyzed theoretically and tested empirically. For space complexity, we analyzed its best case, worst case, and average case. Given an $n_e$-gon, we show that the expected number of nodes in our quadtree isO($$$n_e^1.292$) For a polyhedron with $n_f$ faces, the expected number of nodes in the new octree is O($$$n_f^1.667$). For time complexity, we again analyzed the best, worst, and average cases for constructing such quadtree and octree and find the average to be the same as those of the space complexity. Finally, random $n_e$- gons are generated as test data. Regression equations are fitted and are shown to support the claims on the average case performance.

• Journal of Information Technology Applications and Management
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• 제21권3호
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• pp.1-17
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• 2014

In this study, various characteristics of R&D related economic variables were studied to analyze complexity of science and technology activities in Korea, as reliance of R&D activities of the private sector is growing by the day. In comparison to other countries, this means that it is likely to be fluctuated by economic conditions. This complexity characteristic signifies that the result of science and technology activities can be greatly different from the anticipated results - depending on the influences from economic conditions and the results of science and technology activities which may be unpredictable. After reviewing the results of 17 variables related to science and technology characteristics of complex systems intended for time-series data - in the total R&D expenditure, and private R&D expenditure, numbers of SCI papers, the existence of chaotic characteristics were. using Lyapunov Exponent, Hurst Exponent, BDS test. This result reveals science and technology activity of the three most important components in Korea which are; heavy dependence on initial condition, the long term memory of time series, and non-linear structure. As stable R&D investment and result are needed in order to maintain steady development of Korea economy, the R&D structure should be less influenced by business cycles and more effective technology development policy for improving human resource development must be set in motion. And to minimize the risk of new technology, the construction of sophisticated technology forecasting system should take into account, for development of R&D system.