• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.11
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• pp.132-138
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• 2012

VANET(Vehicular Ad-hoc Network), standardization of IEEE 802.11p specification is in process. 802.11 MAC protocol grants all nodes equal opportunity to acquire channel without regard to their bit-rates, making it possible for lower bit-rate nodes to occupy communication channel for a fair amount of time thus keeping the higher bit-rate nodes from acquiring connection channel which downward-equalize the overall network performance. Also with the 802.11p MAC protocol, the probability of collision occurring increases as the number of nodes grow. The proposed algorithm is a new MAC protocol that guarantees nodes with acquired channel a firm priority over other nodes for a fixed amount of time with TXOP concept added to 'packet burst' according to the current transmitting speed. This newly designed algorithm allows the construction of wireless network with enhanced network throughput, decreased probability of collisions as well as providing the means to grant each node a fair chance of acquiring connection according to their channel conditions. The algorithm sets the CW's (Contention Window) width wider than the standard's and modulates the continuous transmitting threshold value depending on channel acquired time, thus improving the overall performance of the network.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.95-110
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• 2018

With the widespread use of smartphones, various personal information of users is being recorded on a smartphone in real time. For the purpose of preventing the loss of important personal information of users, manufacturer provides a smartphone backup applications. Recently, not only backup programs for PC but also backup mobile apps for smart phones have been provided. From the point of view acquiring forensic data, it is important not to compromise the acquisition possibilities and the integrity of the original data. Especially, in the case of Android smartphones, various studies are being carried out to acquire the data without damaging the integrity of the original data. However, there are limitations to apply the existing research methods. In this paper, we describe the process of acquiring data using the backup mobile app provided by the manufacturer without compromising the integrity of the latest smartphone.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.621-635
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• 2023

The assessment of structural condition is a crucial process for evaluating its usability and determining the diagnostic cycle. The currently employed manpower-based methods suffer from issues related to safety, efficiency, and objectivity. To address these concerns, research based on deep learning using images is being conducted. However, acquiring structural damage data is challenging, making it difficult to construct a substantial amount of training data, thus limiting the effectiveness of deep learning-based condition assessment. In this study, we propose a foundation model-based 2-step structural damage analysis to overcome the lack of training data in image-based structural condition assessments. We subdivided the elements of structural condition assessment into instantiation and quantification. In the quantification step, we applied a foundation model for image segmentation. Our method demonstrated a 10%-point increase in mean intersection over union compared to conventional image segmentation techniques, with a notable 40%-point improvement in the case of rebar exposure. We anticipate that our proposed approach will enhance performance in domains where acquiring training data is challenging.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.79-89
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• 2016

FDI has been considered as a source of competitive advantage by bringing scientific and technological innovation capabilities to domestic firms via organizational learning. Acquiring knowledge and technology by learning accelerates firms to be innovative. In the way of innovation, firms seek for innovation as a whole but innovation can be clarified as two different parts, product and process innovation. Different from product and process innovation, organizational innovation is not directly related to productivity or outcome but it is closely related to product and process innovations. As a kind of firm innovation, organizational innovation may be considered as preceding product and process innovation and it may positively mediate the relationship between in-bound FDI and firms' product and process innovations. In this paper, the relationship between FDI and product and process innovation will be explained by organizational learning and the way of organizational innovation affects to the relationship will be examined.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.11a
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• pp.51-52
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• 2007

This paper compared wired Acoustic Emission (AE) signals with wireless AE signals. According to the material and process condition, each process signal has distinguishable characteristic to show each removal phenomenon. Therefore, wired and wireless AE sensors having different bandwidth are complementary for CMP process monitoring. Especially, the AE sensor was used to investigate abrasive and molecular-scale phenomena during CMP process, which was compatible to acquire high level frequency. In experiment, wireless AE system was used to get signals in rotary system, using bluetooth. But, it is possible to acquire only RMS signals, which can not analyze abrasive and molecular-sale phenomena. Second, wired AE system was installed using mercury slip-ring, which is suitable not only for rotation equipment but also for acquiring original signals. The acquired signals were analyzed by FFT for understanding of abrasive and molecular revel phenomena in CMP process, finally, we verified that two types of AE sensor with different bandwidth were complementary for CMP process monitoring.

• Journal of Korean Library and Information Science Society
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• v.43 no.2
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• pp.157-178
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• 2012

Utilizing a qualitative multimethod approach, this study was to discover and improve the understanding of occupational socialization process of librarians. Through theoretical sampling, 42 participants were in-deathly interviewed at three studies, i.e phenomenological, ethnographic, and grounded theory approach. Analyzed data were finally integrated using grounded theory approach. 'Acquiring Social Recognition as an Information Professional' was emerged as the core category for describing and guiding the occupational socialization process. A seven-stage process was discovered: 'Adapting', 'Experiencing being the Periphery', 'Perceiving the Role', 'Pursuing the advancement', 'Realizing the professionality', 'Rediscovering the Value', and 'Showing the Professionality'. Especially, 'Experiencing being the Periphery' was identified as a critical and unique process, reflected the perceived status of librarians in Korea. Also, it discussed characteristics and socialization strategies of the process.

• Korean Journal of Child Studies
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• v.26 no.5
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• pp.73-87
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• 2005

To achieve in-depth understanding of the essence of the process of becoming a father, the Colazzi method for analysis of phenomenological and qualitative research was applied to examination of in-depth interviews of 7 fathers in their early twenties and thirties residing in Gwangju City. Interviews were held individually three times during $Oct{\sim}Dec$. 2004. Subjects were first time parents of babies less than 12 months of age. Results were that these first time parents' experience of fatherhood was understood in 37 themes, 13 theme clusters, and 5 categories: "beginning life treated as a father," "witnessing continuous substance of pain," "escape from family-centered life," "the baby seems to recognize me as a father," and "acquiring insight of a father."

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.200-208
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• 2016

Compressed sensing is a signal processing technique for efficiently acquiring and reconstructing in an under-sampled (i.e., under Nyquist rate) representation. A block compressed sensing with projected Landweber (BCS-SPL) framework is most widely known, but, it has high computational complexity at decoder side. In this paper, by introducing adaptive exit criteria instead of fixed exit criteria to SPL framework, an effective fast algorithm is designed in such a way that it can utilize efficiently the sparsity property in DCT coefficients during the iterative thresholding process. Experimental results show that the proposed algorithm results in the significant reduction of the decoding time, while providing better visual qualities than conventional algorithm.

• English Language & Literature Teaching
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• v.13 no.3
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• pp.23-40
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• 2007

This paper discusses why Korean speakers have problems in pronouncing some medial sonorant clusters in English. We argue that the main reasons lie in the sonority sequence requirement difference between the two languages. English does not have any specific sonority sequence preference between the medial sonorant sequences while Korean has a strict requirement between the two sonorants over a syllable boundary. This sonority sequence requirement difference between the two languages acts as an interference for Korean speakers in learning English pronunciation. This barrier for Korean speakers in acquiring correct pronunciation is implemented in a constraint ranking difference in the Optimality Theory, which is not familiar for Korean speakers. Understanding the details of sonorant production mechanisms along with the different constraint ranking will facilitate the learning process of Korean speakers learning English.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.9
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• pp.699-704
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• 2016

In this paper, we propose a development method for a drowsiness detection system using retinex theory and edge information for vehicle safety. Detection of a drowsy state of a driver is very important because the drowsiness of driver is often the main cause of many car accidents. After acquiring an image of the entire face, we executed the pre-process step using the retinex theory. We then applied a technique for the detection of the white pixels using edge information. Experimental results showed that the proposed method improved the accuracy of detecting drowsiness to nearly 98%, and can be used to prevent a car accident caused by the driver's drowsiness.