• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.433-434
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• 2006

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.13 no.3
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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.

• Fire Science and Engineering
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• v.25 no.2
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• pp.138-143
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• 2011

In order to choose work system of fire organization between specialization system and multi- tasking system, fire organization's works should be analyzed. The most important thing of this task is evaluation of speciality of work that can be performed by estimating the duration of expertise of fire fighters' work. In this study I estimated the duration by survey. The duration is 12 years and 5 months which is a year and 9 months after promotion to fire senior sergeant lank in the case of average fire fighter.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2355-2360
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• 2009

As for information system in hospital which digital hospital aims at, there are LIS(Laboratory Information System) and so on. Interface program gather the results from the clinic laboratory equipment and manage the results efficiently as well. To implement interface program, multi tasking and multi thread method is used. In this paper, we proposed the stable method after comparing and analyzing these two methods we present above through the simulation. Also we designed and implemented Interface program which satisfy the users' requirements applying the proposed method. The result of using the built interface program in the hospital field confirms that the program operates safely.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.409-410
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• 2012

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2005.11a
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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.

• Journal of Korea Multimedia Society
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• v.25 no.1
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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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• v.25 no.4
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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.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.32A no.2
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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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• 1993.10a
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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.