• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.2 no.2
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• pp.36-45
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• 2003

This paper presents a way to maximize transmission efficiency and reception ability through transmission diversity technology, which can be adapted to wireless multimedia OFDM (orthogonal FDM) system. The presented method gives a comparative analysis between a case where parameter a for time average is 0.3, i with consideration of channel presumption and two types of rms delayed proliferation, which is 50nsec, 150nsec, for the performance analysis of STTC (Space-Time Trellis Code) using time-space code method which is appropriate for MIMO channel, and performance, in the case, where presumed channel value from long training column section is applied to the according frame in a single frame. The result shows that BER brought SNR improvement of 1.0dB in $10^{-3}$ when a was 0.3 than using only the long training column, and shows an increasement of general performance improvement when the time average factor is used.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.138-149
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• 2021

Our society is developing exponentially, but schools are not keeping up with the pace of society's development, and they are not providing digital literacy education suitable for the growth and development of students. Thus, this study identified the actual conditions and problems of digital literacy education at school sites and sought the direction of development of digital literacy education. By identifying the current state of schools in which the 2015 curriculum is operated, we sought the direction of the development of digital literacy education for our school. First, old digital devices should be replaced, laptops or smart devices should be provided for each student, and internet access should be available throughout the school. Second, digital literacy education should be provided to teachers by providing various training opportunities.Third, coding education where you can express what you think as logical thinking, Software training should increase the level of the algorithmic domain that shows the computational thinking process of discovering problems and automating a given problem into a computer programming language, there is enough robot that can be seen operating the program, digital parish will need to be delivered.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.85-91
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• 2011

Programming training in informatics education have the means that algorithm design and problem solving. However, Because learning and using programming tools that should be done first, elementary school students learning the programming tools that are interested in the process has been reduced. But programming with using an Educational Programming Language(EPL) can show results directly and coding with a drag & drop method that keeps the elementary students' interests for programming. Now that, the students are possible to enhance their creativity and reasoning skills. Therefore, through the result of this study show how to apply the EPL in the elementary information classes and comparing with before this study and after the study, we analyzed to applicate prosperity of EPL.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.11
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• pp.1020-1028
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• 2011

As rotating machines play an important role in industrial applications such as aeronautical, naval and automotive industries, many researchers have developed various condition monitoring system and fault diagnosis system by applying artificial neural network. Since using obtained signals without preprocessing as inputs of neural network can decrease performance of fault classification, it is very important to extract significant features of captured signals and to apply suitable features into diagnosis system according to the kinds of obtained signals. Therefore, this paper proposes a neural-network-based fault diagnosis system using AR coefficients as feature vectors by LPC(linear predictive coding) and EIV(errors-in variables) analysis. We extracted feature vectors from sound, vibration and current faulty signals and evaluated the suitability of feature vectors depending on the classification results and training error rates by changing AR order and adding noise. From experimental results, we conclude that classification results using feature vectors by EIV analysis indicate more than 90 % stably for less than 10 orders and noise effect comparing to LPC.

• ETRI Journal
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• v.39 no.3
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• pp.398-405
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• 2017

In this paper, an artificial stereo extension method that creates stereophonic sound from a mono sound source is proposed. The proposed method first trains deep neural networks (DNNs) that model the nonlinear relationship between the dominant and residual signals of the stereo channel. In the training stage, the band-wise log spectral magnitude and unwrapped phase of both the dominant and residual signals are utilized to model the nonlinearities of each sub-band through deep architecture. From that point, stereo extension is conducted by estimating the residual signal that corresponds to the input mono channel signal with the trained DNN model in a sub-band domain. The performance of the proposed method was evaluated using a log spectral distortion (LSD) measure and multiple stimuli with a hidden reference and anchor (MUSHRA) test. The results showed that the proposed method provided a lower LSD and higher MUSHRA score than conventional methods that use hidden Markov models and DNN with full-band processing.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7489-7497
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• 2014

MicroRNAs (miRNAs) are short non-coding RNAs of 20-24 nucleotides that play important roles in carcinogenesis. Accordingly, miRNAs control numerous cancer-relevant biological events such as cell proliferation, cell cycle control, metabolism and apoptosis. In this review, we summarize the current knowledge and concepts concerning the biogenesis of miRNAs, miRNA roles in cancer and their potential as biomarkers for cancer diagnosis and prognosis including the regulation of key cancer-related pathways, such as cell cycle control and miRNA dysregulation. Moreover, microRNA molecules are already receiving the attention of world researchers as therapeutic targets and agents. Therefore, in-depth knowledge of microRNAs has the potential not only to identify their roles in cancer, but also to exploit them as potential biomarkers for cancer diagnosis and identify therapeutic targets for new drug discovery.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.3
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• pp.661-666
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• 2016

This study was to explore the living experiences of the disabled adults who were participating in public education Yahak program held at evening class. The study designed in-depth interviews with ten disabled people using a grounded theory approach. Through analyzing process, 34 concepts, 15 subcategories, and eight categories were deduced. In axial coding, casual condition, 'Suffering from unknown cause disabilities' and 'Isolated by social cause', context condition, 'Taking discriminative treat for disabilities' impacted on phenomenon, 'Overcoming their conditions by themselves'. Intervening conditions was 'Taking social supports' and action-interaction condition, 'Enjoying public programs' totally lead to consequence in 'Controlling daily life' and 'Exploring their own social roles'. The periods of process were divided three stages, reflecting disabled situation, formation phase of social relation, and self-developing phase. The core category, 'Trying to be recognized as a member of society' incorporated the relationship between and among all categories and explained the process. The study indicates that social education program for the disabled helped to develop themselves as a member of society. Therefore, we suggest there may be a need for training for professionals who work with disabled people to develop social adaptation.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.537-546
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• 2011

This study shows the necessity of internal marketing activities and the need for effective internal marketing programs for fashion shop. This research tests the hypothesized relationships between internal marketing and its determinants such as job satisfaction, organizational commitment, and customer orientation. To measure these hypotheses, a total 200 questionnaires were distributed and 185 were collected. Finally, 163 questionnaires were used for the analysis, while 22 were found invalid. The frequency analysis, factor analysis, reliability analysis, and multiple regression were conducted after coding and cleaning by SPSS 18.0. The internal marketing activities were classified into five factors (internal communication, welfare system, empowerment, educational training program, and incentive system). The results of this study are as follow. First, internal marketing activities have a positive influence on job satisfaction and organizational commitment. Second, job satisfaction has an effect on organizational commitment. Third, internal marketing activities, job satisfaction, and organizational commitment have a positive influence on customer orientation. Accordingly, it should raise the standard of customer orientation, if it is promote the job satisfaction and organizational commitment of employee through internal marketing activities such as internal communication and empowerment.

• BMB Reports
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• v.34 no.6
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• pp.502-508
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• 2001

A cDNA, encoding the human growth hormone (hGH), was synthesized based on the known 191 amino acid sequence. Its codon usage was optimized for a high level expression in Escherichia coli. Unique restriction sites were incorporated throughout the gene to facilitate mutagenesis in further studies. To minimize an initiation translation problem, a 624-bp cassette that contained a ribosome binding site and a start codon were fused to the hGH-coding sequence that was flanked between the EcoRI and HindIII sites. The whole fragment was synthesized by an overlapped extension of eight long synthetic oligonucleotides. The four-short duplexes of DNA, which were first formed by annealing and filling-in with a Klenow fragment, were assembled to form a complete hGH gene. The hGH was cloned and expressed successfully using a pET17b plasmid that contained the T7 promoter. Recombinant hGH yielded as much as 20% of the total cellular proteins. However, the majority of the protein was in the form of insoluble inclusion bodies. N-terminal amino acid sequencing also showed that the hGH produced in E. coli contained formyl-methionine. This study provides a useful model for synthesis of the gene of interest and production of recombinant proteins in E. coli.

• ETRI Journal
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• v.41 no.4
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• pp.415-425
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• 2019

Generative adversarial networks (GAN) have been successfully used in many image restoration tasks, including image denoising, super-resolution, and compression artifact reduction. By fully exploiting its characteristics, state-of-the-art image restoration techniques can be used to generate images with photorealistic details. However, there are many applications that require faithful rather than visually appealing image reconstruction, such as medical imaging, surveillance, and video coding. We found that previous GAN-training methods that used a loss function in the form of a weighted sum of fidelity and adversarial loss fails to reduce fidelity loss. This results in non-negligible degradation of the objective image quality, including peak signal-to-noise ratio. Our approach is to alternate between fidelity and adversarial loss in a way that the minimization of adversarial loss does not deteriorate the fidelity. Experimental results on compression-artifact reduction and super-resolution tasks show that the proposed method can perform faithful and photorealistic image restoration.