• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 추계학술대회 논문집
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• pp.433-434
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• 2006

• 한국기계가공학회지
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• 제13권3호
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• pp.89-95
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• 2014

The increasing level of demand for multi-tasking machines requires a saddle with an ultra-precise machining accuracy level of $15{\mu}m$, as such a saddle is one of the main components of these machines. The manner of achieving ultra-precise machining accuracy mainly depends on the fixed forces. In this paper, we optimized the number of contact points and the contact positions to reduce the deformation of the saddle while it is machined. The performance levels of the proposed optimal jig and fixture are determined by measuring the flatness, parallelism and perpendicularity of a machined saddle. The machining accuracy is found to be lower than $15{\mu}m$ at all measured points.

• 한국화재소방학회논문지
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• 제25권2호
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• pp.138-143
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• 2011

소방조직의 근무체제를 분업체제로 할 것인지 멀티체제로 할 것인지에 대한 선택을 하기 위해서는 소방업무에 대한 분석이 선행되어야 한다. 이 분석에서 제일 중요한 것이 업무의 전문성 평가인데, 이것은 업무를 숙련시키는데 소요되는 시간으로 계량화할 수 있다. 본 연구에서는 소방조직에서 수행되고 있는 업무 중에 범용업무를 모두 익히는데 소요되는 시간을 설문을 통해 추산하였다. 신임소방사가 범용업무를 숙련시키는데 소요되는 기간은 12년 5월로서 평균적으로 소방장 1년 9월차에 해당되는 것으로 추산되었다.

• 한국정보통신학회논문지
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• 제13권11호
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• pp.2355-2360
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• 2009

디지털 병원이 지향하고 있는 병원내의 정보화 시스템으로는 검사정보시스템을 비롯한 여러 시스템들이 있다. 인터페이스 프로그램은 검사장비로부터 검사결과를 취합하고 검사정보를 효율적으로 관리 운영하는 핵심적인 작업이며, 이를 구현하는 방법은 멀티스레드 방법과 멀티태스킹 방법이 있다. 본 연구에서는 위에서 제시한 두 방법을 시뮬레이션을 통하여 비교 분석한 후 안정적인 방법을 제 하였으며, 제안한 방법을 적용하여 사용자 요구사항을 만족할 수 있는 인터페이스 프로그램을 설계, 구현하였다. 구현한 검사장비 인터페이스 프로그램을 병원 현장에 적용한 결과 안정적으로 동작함을 확인할 수 있었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 춘계학술대회 논문집
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• pp.409-410
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• 2012

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2005년도 학술대회
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• pp.117-120
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• 2005

A Digital Broadcasting Satellite (DBS) receiver converts digital A/V streams received from a satellite to analog NTSC A,/V signals in real-time. Multi-tasking is an efficient way to improve the utilization of the processor core in real-time applications. In this paper, we propose a hybrid approach with a balanced trade-off between hardware kernel and multi-tasking programming to increase a system throughput. First, the schedulability of the critical hard real-time tass in the DBS receiver is verified by using a simple feasibility test. Then. several soft real-time tasks are thoughtfully programmed to satisfy functional requirements of the system.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.39-51
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• 2022

Image-based gender classification and age estimation of human are classic problems in computer vision. Most of researches in this field focus just only one task of either gender classification or age estimation and most of the reported methods for each task focus on accuracy performance and are not computationally light. Thus, running both tasks together simultaneously on low cost mobile or embedded systems with limited cpu processing speed and memory capacity are practically prohibited. In this paper, we propose a novel light-weight gender classification and age estimation method based on ensemble multitasking deep learning with light-weight processing neural network architecture, which processes both gender classification and age estimation simultaneously and in real-time even for embedded systems. Through experiments over various well-known datasets, it is shown that the proposed method performs comparably to the state-of-the-art gender classification and/or age estimation methods with respect to accuracy and runs fast enough (average 14fps) on a Jestson Nano embedded board.

• Investigative Magnetic Resonance Imaging
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• 제25권4호
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• pp.300-312
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• 2021

Compressed sensing (CS) has been investigated in magnetic resonance (MR) parametric mapping to reduce scan time. However, the relatively long reconstruction time restricts its widespread applications in the clinic. Recently, deep learning-based methods have shown great potential in accelerating reconstruction time and improving imaging quality in fast MR imaging, although their adaptation to parametric mapping is still in an early stage. In this paper, we proposed a novel deep learning-based framework DEMO for fast and robust MR parametric mapping. Different from current deep learning-based methods, DEMO trains the network in an unsupervised way, which is more practical given that it is difficult to acquire large fully sampled training data of parametric-weighted images. Specifically, a CS-based loss function is used in DEMO to avoid the necessity of using fully sampled k-space data as the label, thus making it an unsupervised learning approach. DEMO reconstructs parametric weighted images and generates a parametric map simultaneously by unrolling an interaction approach in conventional fast MR parametric mapping, which enables multi-tasking learning. Experimental results showed promising performance of the proposed DEMO framework in quantitative MR T1ρ mapping.

• 전자공학회논문지A
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• 제32A권2호
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• pp.1-10
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• 1995

Since there is currently no commercial protocol simulator for CDMA mobile communication system, we need to develop a General-Purposed Protocol Test Simulator (G-PTS). This paper is concerned with the design and implementation of this G-PTS contains the multi-scenario generating functions, multi-tasking kernel and multiple interface functions. Thus it can be utilized in the test category using multiple base-stations such as soft-handoff, 3-way handoff and mulit-party call features. G-PTS is verified using the model of CDMA soft handoff scenario and the result shows its reliable operations.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.1006-1011
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• 1993

In this study, a DNC(Distributed Numerical Control) management system is designed that can directly control and manage hybrid CNC machine tools on real-time. And management software is developed to inter-communicate field informations with CNC controllers using an interface processor(Intelligent Multi Communication Board, IMCB). Especially, IMCB supports that DNC system sends and receives part program with CNC controllers in the form of real-time multi-tasking.