• Journal of Communications and Networks
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• 제8권3호
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• pp.323-329
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• 2006

For orthogonal frequency division multiplexing (OFDM), the discrete Fourier transform (DFT)-based processing at the receiver has been perceived equivalent to the matched filter (MF)-based processing. In this paper, we revisit the equivalence and mathematically show that when the guard interval is insufficient, the well-known DFT-based processing inherently causes more intersymbol and interchannel interference (ISI/ICI) than the MF-based processing. Then, with the adverse increase of interference, analytical expressions for the link performance are derived in terms of bit error rate (BER). Numerical results from computer simulation and analysis are presented to justify our claims.

• Journal of Communications and Networks
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• 제17권2호
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• pp.198-202
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• 2015

This paper presents a computationally efficient implementation of a Hamming code decoder on a graphics processing unit (GPU) to support real-time software-defined radio, which is a software alternative for realizing wireless communication. The Hamming code algorithm is challenging to parallelize effectively on a GPU because it works on sparsely located data items with several conditional statements, leading to non-coalesced, long latency, global memory access, and huge thread divergence. To address these issues, we propose an optimized implementation of the Hamming code on the GPU to exploit the higher parallelism inherent in the algorithm. Experimental results using a compute unified device architecture (CUDA)-enabled NVIDIA GeForce GTX 560, including 335 cores, revealed that the proposed approach achieved a 99x speedup versus the equivalent CPU-based implementation.

• Journal of Electrical Engineering and Technology
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• 제5권1호
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• pp.163-170
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• 2010

Multiple subsystems are required to behave synchronously or cooperatively in many areas. For example, synchronous behaviors are common in networks of (electro-) mechanical systems, cell biology, coupled neurons, and cooperating robots. This paper presents a feedback scheme for synchronization between Hindmarsh-Rose models which have polynomial vector fields. We show that the problem is equivalent to finding an asymptotically stabilizing control for error dynamics which is also a polynomial system. Then, an extension to a nonlinear observer-based scheme is presented, which reduces the amount of information exchange between models.

• 산업공학
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• 제1권2호
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• pp.45-52
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• 1988

Telecommunication networks include repeaters that serve to monitor the condition of each line within the network, and a center that dispatches repairmen to fix broken repeaters. In such a set-up, however, a problem arises : where is the most effective location for the center? First of all, we consider the network problem in which the nodes are the telephone offices and the arcs are the transmission lines. Here we deal with the center location problem in which the center must be located at a node and calls for service are assumed to occur on the arcs. This thesis proposes to prove that this problem can be transformed into a 1-median problem. Furthermore, the transformed problem will be proven to be equivalent to the center location problem that minimizes the sum of the distances weighted by the degrees of each node.

• 한국안전학회지
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• 제12권2호
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• pp.3-16
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• 1997

In modern high performance engineering applications, the structural integrity of materials and structures are quite often evaluated using fracture mechanics. This evaluation in turn requires information on the flaw geometry (location, type, shape, size, and orientation). The ultrasonic nondestructive evaluation (NDE) method is one technique that is commonly used to provide such information. Flaw classification (determination of the flaw type ) and flaw sizing (prediction of the flaw shape, orientation and sizing parameters) are very important issues for quantitative ultrasonic NDE. In this paper new approaches to both classification and sizing of flaws are described together with extensive review of previous works on both topics. In the area of flaw classification, a methodology is developed which can solve classification problems using probabilistic neural networks, and in the area of flaw sizing, a time-of-flight equivalent (TOFE) sizing method is presented. The techniques proposed here are in a form that can be used directly in many practical applications to quantitative estimates of the flaw's significance.

• East Asian Economic Review
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• 제23권3호
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• pp.285-309
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• 2019

Unlike the popular belief, digital transformation mainly gets stymied by legal and regulatory issues related with legacy institutions in Asia rather than technical difficulties. The real challenges triggered by the PSD2 (Payment Services Directive 2) are how the region would overcome the overly fragmented, centralized, and hierarchical legacy framework to allow necessary changes to respond to the digital single market initiatives as promulgated by the European counterpart. The PSD2 is expected to bring about substantial changes in the payment ecosystem by allowing payment service providers to access customers' accounts and transactions information via API that have been traditionally controlled by banks. This paper suggests an incentive-compatible mechanism design for open collaboration among legacy institutions in the region to help them adapt to the PSD2. As evidenced by case studies in Korea, the Asian equivalent of PSD2 can be implemented and further expanded to create region-wide PCS (payment-clearing-settlement) network by reconnecting the dots of legacy infrastructures. These decentralized, diverse, small payment networks can be further combined with the expanded RTGS-CDS platform to evolve into the next phase of Asian Financial Network.

• Nuclear Engineering and Technology
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• 제54권5호
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• pp.1747-1753
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• 2022

Compton imaging is the main method for locating radioactive hot spots emitting high-energy gamma-ray photons. In particular, this imaging method is crucial when the photon energy is too high for coded-mask aperture imaging methods to be effective or when a large field of view is required. Reconstruction of the photon source requires advanced Compton event processing algorithms to determine the exact position of the source. In this study, we introduce a novel method based on a Deep Learning algorithm with a Convolutional Neural Network (CNN) to perform Compton imaging. This algorithm is trained on simulated data and tested on real data acquired with Caliste, a single planar CdTe pixelated detector. We show that performance in terms of source location accuracy is equivalent to state-of-the-art algorithms, while computation time is significantly reduced and sensitivity is improved by a factor of ~5 in the Caliste configuration.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.212-216
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• 2024

Feature Selection have turned into the main point of investigations particularly in bioinformatics where there are numerous applications. Deep learning technique is a useful asset to choose features, anyway not all calculations are on an equivalent balance with regards to selection of relevant features. To be sure, numerous techniques have been proposed to select multiple features using deep learning techniques. Because of the deep learning, neural systems have profited a gigantic top recovery in the previous couple of years. Anyway neural systems are blackbox models and not many endeavors have been made so as to examine the fundamental procedure. In this proposed work a new calculations so as to do feature selection with deep learning systems is introduced. To evaluate our outcomes, we create relapse and grouping issues which enable us to think about every calculation on various fronts: exhibitions, calculation time and limitations. The outcomes acquired are truly encouraging since we figure out how to accomplish our objective by outperforming irregular backwoods exhibitions for each situation. The results prove that the proposed method exhibits better performance than the traditional methods.

• 대한전자공학회논문지SD
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• 제41권4호
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• pp.15-22
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• 2004

이 논문은 PCB의 PDN(Power Distribution Network) 시스템을 고려한 채널 분석을 나타내었다. 설계자가 원하는 PDN 시스템을 설계하기 위하여, 전체 주파수 범위의 PDN이 요구하는 임피던스를 얻는 유용한 설계방법을 제안하였다. 제안된 방법은 주파수 영역과 관계된 계층적 배치 접관방식과 보트와 decoupling 커패시터 사이의 current 흐름의 간섭을 고려한 path-based equivalent 회로를 기본으로 하였다. 비록 빠르고 쉬운 계산을 위한 lumped model일지라도, 실험 결과는 제안된 모델이 numerical 분석처럼 거의 정확함을 보였다. PDN 시스텐의 분석은 패키지 인덕턴스가 파워 노이즈, 데이터 채널을 통한 신호 이동에 영향을 받는다는 것을 보여주고 있으나, 보드 PDN 또한 정확한 채널 신호를 위해 무시할 수 없다는 것을 보여준다. 따라서 설계자는 반드시 초고속 디지털 시스템의 첫 스팩 설계로부터 보드, 패키지, 칩 등을 동시에 디자인을 해야 한다.

• 한국전산구조공학회논문집
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• 제29권6호
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• pp.577-582
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• 2016

본 논문에서는 나노입자가 삽입된 고분자 복합재에서 형성되는 계면 상의 정량적인 열탄성 물성을 계산과학적 접근으로 제시하였다. 균질해법이 적용된 유한요소모델과, 미시역학법에 의한 3상 복합재의 열탄성 이론, 그리고 분자동역학 전산모사법이 본 연구에 모두 적용되었고, 이를 유기적으로 연계한 멀티스케일 모델을 수립하였다. 특히, 제시한 유한요소모델과 분자동역학 기반의 나노복합재 모델로부터 각각의 인장하중에 따른 계면의 변형에너지 밀도를 도출, 이를 직접 비교하는 과정이 본 멀티스케일 해석 과정에 포함되었다. 이로써 주어진 온도 조건에 따른 나노입자 주변의 계면 상에 대한 탄성계수와 그 두께를 물리적 엄밀해로써 정량 도출할 수 있다. 이렇게 얻은 고분자 나노복합재의 연속체모델은 다시 미시역학 모델과 연계함으로써, 최종적으로는 광범위한 온도 조건에 의한 재료의 열탄성 거동 및 유리전이거동이 계면 상의 두께와 기계적 물성에 미치는 영향에 대해 분석, 평가하였다.