• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.517-518
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• 2023

최근 뇌-컴퓨터 인터페이스 분야에서는 뇌파 신호를 이용한 운동 심상 분류 연구가 활발히 이루어지고 있다. 뇌파는 개인별 차이가 큰 생체 신호로, 사용자에 독립적인 경우 추론이 어려워지는 문제가 있어 운동 심상 분류에서는 주로 피험자 종속적인 연구가 행해져 왔다. 본 논문에서는 컨볼루션 신경망 기반의 뇌파 분류 모델인 EEGNet 에 새로운 방식으로 개선한 Squeeze-and-Excitation block 을 적용해 피험자에 대해 독립적인 운동 심상 분류 성능을 향상시키는 방법을 제안하며, 제안한 Squeeze-and-Excitation block 을 적용한 모델이 기존 모델보다 높은 분류 성능을 보여주는 것을 실험적으로 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.144-146
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• 2024

차량용 소프트웨어 개발에서는 시뮬레이션 절차가 중요한 단계를 차지한다. 특히, 차량에서의 소프트웨어와 하드웨어 사이의 밀접한 종속성은 종종 개발 과정을 지연시키는 주요 요인으로 작용한다. 이에 개발자들은 가상 ECU 기술을 활용하여 소프트웨어를 하드웨어로부터 독립시키는 방안을 채택하고 있다. 이러한 가상 ECU 시스템은 다양한 개발 도구에서 생성된 모델을 FMU 형태로 변환, FMI 표준을 통해 데이터를 손쉽게 교환할 수 있도록 한다. 본 연구는 이와 같은 통합 시뮬레이션 환경 내에서 LIN 통신을 지원할 수 있는 LIN FMU의 구현 방법을 다룬다.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.203-209
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• 2015

In this paper, we conducted a conventional regression and fuzzy regression analysis of the core competencies of construction subcontractors. The study was undertaken to check whether these two types of regression core capabilities affect the rating of construction subcontractor. Conventional regression result showed some effect on the rating of construction subcontractors on which core competencies to management and firm contribution were conducted. With fuzzy regression analysis, on the other hand, the rating of construction subcontractors could see the Min and Conjunction problem which utilize 100% reliability of Min. Max and Conjunction. From the above, the dependent variable of conventional regression could determine the evaluation grade of construction subcontractor. The fuzzy regression analysis shows the estimator of evaluation grade of the construction subcontractor including or corresponding to the fuzzy output data.

• Journal of Korea Multimedia Society
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• v.9 no.8
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• pp.1010-1019
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• 2006

CAD system is a very important technology in designing the products which we are using today. This CAD technology has been enlarging its area into 3D CAD systems with the development of computer graphics technologies. In particular, such advances have been realized in special area such as the CAD system for designing shoes. However, because it is difficult to design a 3D CAD system, most CAD developments except for major CAD software companies usually have employed the AutoCAD which realizes 3D concepts. Also, many shoes' designers have been skilled with 2D shoe CAD systems and then they can make high achievements. Therefore, we design a new shoe CAD system with advantages of 2D CAD system and 3D CAD system. We also implement the scheme to transfer the data between 2D CAD system and 3D CAD system and also grading technologies to get patterns of various shoes size from a basic shoe's design.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.91-98
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• 2015

In this paper, we introduce PMS's main function and main effect which implemented medium and large scale software development project site, and we propose importance and improvement nacessity of PMS implementation. PMS's main functions are developed based on best practices which CMMI model and PMBOK. Also, each PMS has specialized unique function according to it's target industry area or related I.T solutions which has infra dependency. The effectiveness of PMS implementation on project site is seperated two types, one is qualitative effect, the other quantitative effect. Representative qualitative effects are improvement of enterprise's image and competency. Also representative quantitative effect is reduction of project management cost as a financial effect. As far as project size is increase, PMS's needs and necessariness will be increase, so we need to improve PMS;s function according to project management's global trend and software customer's requisition.

• Journal of Biosystems Engineering
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• v.15 no.4
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• pp.339-345
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• 1990

공기통풍 건조시 공기흐름(airflow)에 대한 곡물저항(grain resistance)은 송풍시스템에서 fan의 선정시 매우 중요하다. 지금까지는 공기흐름에 대한 곡물저항은 주로 Shedd의 curve에 준하여 정해졌다. 그러나 실제의 경우 곡물수확 또는 건조시 기계적 원인에 의하여 미세립자(fine material)가 생성된다. 이에 본 연구에서 밀(red hard winter wheat)을 대상으로 송풍량, 함수율, 미세립자량이 정압강하(static pressure drop)에 미치는 영향을 규명하였고, 이러한 변수가 포함된 수학적 모델을 개발하였다. 독립변수는 0.051로부터 $0.203m^3/m^2.sec$에 이르는 7단계의 각각 다른 송풍량과 3단계의 함수율 (11, 13, 15%w.b), 4단계의 미세립자량(0, 2, 4, 8%)이고, 종속변수는 정압강하이다. 정압강하와 test bed에서의 송풍량은 micromanometer를 사용하여 측정하였다. 결과는 독립변수(송풍량, 함수율, 미세립자량)는 모두 정압강하에 significant하게 영향을 미치는 것으로 나타났다. 규정된 범위내에서 함수율이 증가함에 따라 정압강하는 최고 45% 까지 감소되었고, 반면 미세립자량이 증가함에 따라 정압강하는 최고 195%까지 증가되었다. 수집된 data로서 다음과 같은 regression equation이 개발되었다($P=AV+BV^2+C(MO)V+D(FM)V$). 본 연구의 결과는 공기송풍시스팀에서 송풍량, 함수율, 미세립자량이 정압강하에 미치는 영향을 규명하였고, 에너지 절약적 송풍시스템을 설계하는 데 도움이 될 수 있을 것이다.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.583-586
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• 2004

Transition jitter noise is one of major sources of detection errors in high density recording channels. Implementation complexity of the optimal detector for such channels is high due to the data dependency and correlated nature of the jitter noise. In this paper, two types of hardware efficient sub-optimal detectors are derived by modifying branch metric of Viterbi algorithm and applied to partial response (PR) channels combined with run length limited modulation coding. The additional complexity over the conventional Viterbi algorithm to incorporate the modified branch metric is either a multiplication or an addition for each branch metric in the Viterbi trellis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.177-186
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• 2014

Failure mode and effect analysis (FMEA) is a systematic approach for identifying potential failures before they occur, with the intent to minimize the risk associated with them. It has been widely used in the various manufacturing industries as a solution to reliability problems. As the importance of the service sector is increasing, however, it has been recently extended to some applications in services. Despite these attempts, FMEA cannot be directly applied to the reliability problems in a service industry. Due to the heterogeneity and customer participation in service process, we cannot perfectly prevent service failures. For this reason, we suggest a new risk priority number with three input parameters that consist of severity, probability of occurrence, and recoverability. In this paper, we propose an approach for assessing service risk and service reliability using the service-oriented risk priority number (S-RPN). An example regarding a hypermarket service process is used to demonstrate the proposed approach.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1789-1796
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• 2012

In this paper, a new high-efficiency CMOS bridge rectifier for driving RFID tag chips is designed and analyzed. The input stage of the proposed rectifier is designed as a cascade structure connected with two NMOSs for reducing the gate capacitance by circuitry method, which is the main path of the leakage current that is increased when the operating frequency is increased. This gate capacitance reduction technique using the cascade input stage for reducing the gate leakage current is presented theoretically. The output characteristics of the proposed rectifier are derived analytically using its high frequency small-signal equivalent circuit. For the general load resistance of $50K{\Omega}$, the proposed rectifier shows better power conversion efficiencies of 28.9% for 915MHz UHF (for ISO 18000 -6) and 15.3% for 2.45GHz microwave (for ISO 18000-4) than those of 26.3% and 26.8% for 915MHz, and 13.2% and 12.6% for 2.45GHz of compared other two existing rectifiers. Therefore, the proposed rectifier may be used as a general purpose rectifier to drive tag chips for various RFID systems.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.11
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• pp.592-600
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• 2001

To improve the performance of wide-issue Superscalar microprocessors, it is essential to increase the width of instruction fetch and issue rate. Data dependences are major hurdle to exploit ILP(Instruction-Level Parallelism) efficiently, so several related works have suggested that the limits imposed by data dependences can be overcome to some extent with the use of the data value prediction. But the suggested mechanisms may access the same value prediction table entry again before they have been updated with a real data value. They will cause incorrect value prediction by using stable data and incur misprediction penalty and lowering performance. In this paper, we propose a new hybrid value predictor which achieve high performance by reducing stale data. Because the proposed hybrid value predictor can update the prediction table speculatively, it efficiently reduces the number of mispredicted instruction due to stable due to stale data. For SPECint95 benchmark programs on the 16-issue superscalar processors, simulation results show that the average prediction accuracy increase from 59% for non-speculative update to 72% for speculative update.