• KIEAE Journal
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• v.3 no.2
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• pp.51-58
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• 2003

The purpose of this study is to present rational methods of multi-criteria optimization of the shape of energy saving buildings. The object is to determine the optimum dimension of the shape of a building, based on the following criteria: minimum building costs (including the cost of materials and construction) and yearly heating costs. Mathematical model described heat losses and gains in a building during the heating season. It takes into consideration heat losses through wall, roof, floor and windows. Particular attention was paid to have a more detailed description of heat gains due to solar radiation. On the assumption that shape of building is rectangle in order to solve the problem, the proportions of wall length and building height are determined by using non-linear programing methods(Kuhn-Tucker Conditions). The results constitute information for designers on the optimum proportions of wall lengths, height, and the ratios of window to wall areas for energy saving buildings.

• Journal of the Korean Society of Combustion
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• v.15 no.2
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• pp.27-33
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• 2010

Recently, much attention has been paid to utilizing highly preheated air up to $1,000^{\circ}C$ through waste gas in industrial furnaces. The regenerative burner technology has shown to provide significant reduction in energy consumption (up to 60%), downsizing of the equipment (about 30%) and lower emissions (about 30%) while maintaining high thermal performance of the system since 2000. The object of this study is to develop the flameless regenerative burner for industrial furnaces based on the FLOX(Flameless Oxidation) principle and it has been designed and manufactured as pilot scale. Performance tests are experimentally done and their results are discussed. They showed 1) a very good uniformity in temperature distribution, 2) about 100 ppm in NOx at the temperature $1,300^{\circ}C$, 3) about 95% in temperature efficiency. Besides, the regenerative burner has advantage in easy maintenance and high usage rate of regenerator due to the separate and portable type of heat exchanger.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.3
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• pp.232-237
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• 2009

Active safety vehicle devices are getting more attention recently. To prevent traffic accidents, the environment in front and even around the vehicle must be checked and monitored. In the present applications, mainly camera and radar based systems are used as sensing devices. Laser scanner, one of the sensing devices, has the advantage of obtaining accurate measurement of the distance and the geometric information about the objects in the field of view of the laser scanner. However, there is a problem that detecting object occluded by a foreground one is difficult. In this paper, criterions are proposed to manage this problem. Simulation is conducted by vehicle mounted the laser scanner and multiple-hypothesis algorithm tracks the candidate objects. We compare the running times as multi-hypothesis algorithm parameter varies.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.739-742
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• 2007

In the field of Public Administration, the issue of Polycentric Incorporation of Localities in Metropolitan Areas (PILMA) has long been a significant object of study. That the issue is politically impractical to deal with is today's well-known assessment of it both for the scholars and practitioners. This theoretical notes constitutes an initial plan for examining an intellectual state of affairs surrounding PILMA. It identifies three theoretical problems inherent in the traditional treatment of the issue: Applicative Scope of Market Type Solution; Negative Externality and Preference Revelation; Determination of Production Scale. Notes were composed based on the proposition that the traditional theoretical formulation has not been so much well constructed as to draw more attention and debate on the PILMA.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.31-51
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• 2019

Construal level theory (CLT) have been researched in wide range of disciplines such as marketing, organizational study, psychology, or education. Current study asserts that CLT would explain the effect of different devices of PC and smartphone on interaction between human-computer interfaces and information systems use. In CLT, those who are far from an object in terms of physical, temporal, social or psychological distance, they construe their understanding as abstract (high level) and vice versa. We hypothesized different size of digital device will increase psychological distance and result in behaviors that correspond to present construal level. The analysis result shows that users of PC recognized that they are socially distant from the device and those of smartphone felt that they are socially close to the device. However, the device did not have significant effect on attention to essential information, advertisement preference, and immediacy. The implication to academia, practice and future research and limitations are also discussed.

• Current Optics and Photonics
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• v.4 no.5
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• pp.411-420
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• 2020

Non-contact three-dimensional (3D) measuring technology is used to identify defects in miniature products, such as optics, polymers, and semiconductors. Hence, this technology has garnered significant attention in computer vision research. In this paper, we focus on shape from focus (SFF), which is an optical passive method for 3D shape recovery. In existing SFF techniques using interpolation, all datasets of the focus volume are approximated using one model. However, these methods cannot demonstrate how a predefined model fits all image points of an object. Moreover, it is not reasonable to explain various shapes of datasets using one model. Furthermore, if noise is present in the dataset, an error will be generated. Therefore, we propose an algorithm based on polynomial regression analysis to address these disadvantages. Our experimental results indicate that the proposed method is more accurate than existing methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2199-2213
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• 2024

To enhance the quality of defect detection for Printed Circuit Board Assembly (PCBA) during electronic product manufacturing, this study primarily focuses on optimizing the YOLOv7-based method for PCBA defect detection. In this method, the Mish, a smoother function, replaces the Leaky ReLU activation function of YOLOv7, effectively expanding the network's information processing capabilities. Concurrently, a Squeeze-and-Excitation attention mechanism (SEAM) has been integrated into the head of the model, significantly augmenting the precision of small target defect detection. Additionally, considering angular loss, compared to the CIoU loss function in YOLOv7, the SIoU loss function in the paper enhances robustness and training speed and optimizes inference accuracy. In terms of data preprocessing, this study has devised a brightness adjustment data enhancement technique based on split-filtering to enrich the dataset while minimizing the impact of noise and lighting on images. The experimental results under identical training conditions demonstrate that our model exhibits a 9.9% increase in mAP value and an FPS increase to 164 compared to the YOLOv7. These indicate that the method proposed has a superior performance in PCBA defect detection and has a specific application value.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.7
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• pp.1314-1320
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• 2008

Recently, LBS(Location Based Service) which provides useful service based on the location of objects or human has drawn the attention of the research community. To provide LBS, many researchers have proposed many localization systems such as Cricket or Ubisense, however, these systems have the limit that it is very hard to perform the complicated computation on these systems because these systems consist of sensor nodes which have very limited computing power. In the paper, we propose a new localization system with the gateway node which has very high computing power and resource which is suitable for the complicated computation needed for localization.

• Journal of IKEEE
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• v.23 no.3
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• pp.984-987
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• 2019

Recently, autonomous driving technology based on object recognition and lane recognition has attracted attention. However, in foggy weather, haze removal technology is needed because it is difficult to recognize surrounding objects. The technology of removing hazy is currently being studied in many ways, and a single image based haze removal algorithms are typical. In this paper, we design the hardware for haze removal by estimating the hazy partical map. Proposed hardware architecture is designed to have a cumulative histogram based filter that does not affect the hardware size even if the window size of filter increases. The hardware design is implemented with XILINX's xc7z045-ffg900 as the target board.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.39-46
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• 2019

In recently years, it has become important to detect underground objects of various marterials including metals, such as detecting the location of sink holes and pipe. For this reason, ground penetrating radar(GPR) technology is attracting attention in the field of underground detection. GPR irradiates the radar wave to find the position of the object buried underground and express the reflected wave from the object as image. However, it is not easy to interpret GPR images because the features reflected from various objects underground are similar to each other in GPR images. Therefore, in order to solve this problem, in this paper, to estimate the piping position in the GRP image according to the threshold value using the CNN (Convolutional Neural Network) model based on deep running, which is widely used in the field of image recognition, As a result of the experiment, it is proved that the pipe position is most reliably detected when the threshold value is 7 or 8.