• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.953-958
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• 1993

We develop a neural network control algorithm for the ACS (Advanced Control System). The ACS is an extended version of the DCS (Distributed Control System) to which functions of fault detection and diagnosis and advanced control algorithms are added such as neural networks, fuzzy logics, and so on. In spite of its usefulness proven by computer simulations, the neural network control algorithm, as far as we know, has no tool which makes it applicable to process control. It is necessary that the neural network controller should be turned into the function code for its application to the ACS. So we develop a general method to implement the neural network control systems for the ACS. By simulations using the simulator for the boiler of 'Seoul fire power plant unit 4', the methodology proposed in this paper is validated to have the applicability to process control.

• Publications of The Korean Astronomical Society
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• v.25 no.3
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• pp.59-64
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• 2010

The core and global properties of the early-type ("red sequence") galaxies in the Virgo and Fornax clusters are examined using high-quality HST/ACS imaging for 143 galaxies. Rather than dividing neatly into disparate populations having distinct formation and/or evolution histories, many of the core and global properties of these galaxies show smooth and systematic variations along the galaxy luminosity function. The few examples of the rare class of compact elliptical galaxies in our sample all show properties that are strongly suggestive of tidal stripping by massive galaxies; if so, then these systems should not be viewed as populating the low-luminosity extension of so-called "normal" elliptical sequences. These results demonstrate that complete and/or unbiased samples are a pre-requisite for identifying the physical mechanisms that gave rise to the early-type galaxies we observe locally, and how these mechanisms varied with mass and environment.

• Nuclear Medicine and Molecular Imaging
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• v.43 no.3
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• pp.215-221
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• 2009

Nuclear myocardial perfusion imaging is very effective in the evaluation of patients with suspicious acute coronary syndrome (ACS), for adequate diagnosis and treatment. There have been many clinical evidences to support the efficacy and cost-effectiveness. In addition, many authoritative guidelines support the utility of myocardial perfusion imaging in ACS with an appropriate diagnostic protocol. However, with the development of other cardiac imaging modalities, the choice of modality for the diagnosis of suspicious ACS now depends on the availability of each modality in each institute. Newly developed imaging technologies, especially including molecular imaging, are expected to have great potential not only for diagnosis but also for primary, secondary, and tertiary prevention of ACS.

• Carbon letters
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• v.2 no.2
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• pp.105-108
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• 2001

In this work, the activated carbons (ACs) with high micropores were synthesized from the polystyrene (PS) with KOH as activating agent. And the influence of activation temperature on porosity of the ACs studied was investigated. The porous structures of ACs were characterized by nitrogen adsorption at 77K using BET and D-R equations, and MP and BJH methods. The weight loss behaviors of the samples impregnated with KOH were also monitored using thermogravimetric analyzer (TGA). As a result, it was found that the samples could be successfully converted into ACs with well-developed micropores. From the results of pore size analysis, it was confirmed that elevated activation temperature does lead to the formation and deepening of microstructures without significant change in mesostructures. A thermogravimetric study showed that KOH could suppress the thermal decomposition of the sample, resulting in the increase of carbon yields.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2273-2274
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• 2008

It respects the high speed of the Bitter expense decoder from the present paper ACS (Add Compare Select) block structures of new method it proposed. It became component anger of existing and it substituted it added all input price it predicted with the method which reduces the operation which is unnecessary it chose respectively ACS unit and a union logical operation circuit and the result after operation one in advance.

• Proceedings of the Korean Fiber Society Conference
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• 2003.10b
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• pp.173-174
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• 2003

Activated carbons (ACs) are widely used in adsorption for the removal of gaseous and aqueous pollutants[1,2]. The microbicidal property of ACs is also very important, in order to decrease the risk of water and air contamination with microorganisms. For this purpose, ACs have impregnated with silver or with metallic oxides[2]. However, in the case of Ag supported ACs prepared by impregnation, there are some problem, such as, heat-treatment, highly decrease in specific surface area and pore volume by deposited Ag, and rapidly elution of Ag at the initial stage of usage[3]. (omitted)

• Korean Management Science Review
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• v.30 no.2
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• pp.31-42
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• 2013

The vehicle routing problem (VRP) can be described as a problem to find the optimum traveling routes from one or several depot (s) to number of geographically scattered customers. This study executes a revised Heterogeneous Vehicle Routing Problem (HVRP) to minimize the cost that needs to conduct efficiently the snow removal operations of Air Wing under available resources and limited operations time. For this HVRP, we model the algorithm of an hybrid Ant Colony System (ACS). In the initial step for finding a solution, the modeled algorithm applies various alterations of a parameter that presents an amount of pheromone coming out from ants. This improvement of the initial solution illustrates to affect to derive better result ultimately. The purpose of this study proves that the algorithm using Hybrid heuristic incorporated in tabu and ACS develops the early studies to search best solution.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.17 no.4
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• pp.48-54
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• 2009

We implemented the Aural Cueing System(ACS) system of the reconfigurable tactical trainer(RTT) for th rotor aircraft. RTT provides a collective training system to meet aviation training requirements and supports organizational training for aviations units in combined arms collective training and mission rehearsal. ACS handles the volume, pitch and repetition of the digitally stored sounds based on commands it receives from an UDP/IP. In this paper, we explained and implemented the conceptual and detail design the ACS system for the rotor aircraft such as AH-1H(Iroquios), UH-60(Blackhwak), AH-1(Cobra) etc. The conceptual design composed of the sound cueing data analysis, sound modelling which is inner, outer, weapon and warn environment of rotor aircraft, sound synthesis and replay.

• The Korean Journal of Health Service Management
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• v.13 no.2
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• pp.107-119
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• 2019

Objectives: This study is a descriptive research to investigate the predictors of intention to quit smoking in patients with acute coronary syndrome(ACS). Methods: A total of 192 ACS patients hospitalized for an angiogram during symptom management were conveniently recruited from a university hospital cardiovascular care unit. Data were collected from January to December in 2018 and were analyzed using binominal logistic regression. Results: The predictors of intention to quit smoking in patients with ACS were drinking(odds ratio[OR]=0.315, p=.006), experience of smoking cessation education(OR=0.325, p=.007), depression(OR=0.739, p<.001), and smoking-related self-efficacy(OR=1.091 p=.006). Conclusion: The findings suggest that the alleviation of depression and enhancement of smoking-related self-efficacy can prevent recurrence and enhance the treatment of ACS.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.85-90
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• 2023

The Ant Colony System (ACS) is a variant of Ant colony optimization algorithm which is well-known in Traveling Salesman Problem. This paper proposed a hybrid method based on genetic algorithm (GA) and ant colony system (ACS), called GACS, to solve traffic routing problem. In the GACS, we use genetic algorithm to optimize the ACS parameters that aims to attain the shortest trips and time through new functions to help the ants to update global and local pheromones. Our experiments are performed by the GACS framework which is developed from VANETsim with the ability of real map loading from open street map project, and updating traffic light in real-time. The obtained results show that our framework acquired higher performance than A-Star and classical ACS algorithms in terms of length of the best global tour and the time for trip.