• Korean Journal of Environmental Agriculture
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• v.23 no.1
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• pp.68-74
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• 2004

Miscanthus purpurascens Juice containing potassium (37,952 mg/L), nitrogen (14,000 mg/L), phosphorus (6,800 mg/L), magnesium (5,969 mg/L), calcium (5,910 mg/L), etc., was investigated to develop a novel meidum far the mass cultivation of useful microorganisms. For this research, we first isolated an antagonistic bacterium G-74 from soil, which showed strong growth inhibition against two phytopathogenic fungi, Rhizoctonia solani and Botrytis cinerea, and identified as Bacillus lentimorbus G-74 based on the morphological characteristics and MIDI analysis. Culture conditions for G-74 strain in the M. purpurascens juice medium were optimized. Dilution rate of the medium, temperature and initial pH for the optimum growth of G-74 strain were 30% (V/V), $35^{\circ}C$ and 5.0, respectively. It was found that additions of 2.0% (W/V) corn starch as a carbon source and 1.0% (W/V) yeast extract as a nitrogen source in this medium increased B. lentimorbus G-74 growth to 66% more efficient than Luria Bertani medium.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.79-88
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• 2011

In this paper, We propose real-time sound editing and playback systems which is based on Augmented Reality. The proposed system are composed with music maker which is based on AR maker and music board. By using music marker's contents, the proposed system selects the kinds of musical instruments and pre-defined midi track and by calculating the relative location of music marker on 2-dimensional plane, we set the spatial relative parameter in midi track. For performance evaluation, we check the jitter value of in various resolutions by using CAM which supports $1600{\pm}1200$ as the maximum resolution. As a result, when we set the configuration value of CAM as $860{\pm}600$ pixels and process two frames per minute, the success ratio of recognizing music markers and jitter values are accegnable. It can be utilized in the fields of alternative cmacine which is based on music and also be utilized in the educational aspects because child or elderly who don't know enough musical theory can easily handle it.

• The Journal of the Acoustical Society of Korea
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• v.40 no.6
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• pp.571-577
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• 2021

This study is a study on System On Chip (SOC) that implements virtual engine sound in electric vehicles without engines, and realizes vivid engine sound by combining Adaptive Difference PCM (ADPCM) method and frequency modulation method for satisfaction of driver's needs and safety of pedestrians. In addition, by proposing an electronic sound synthesis algorithm applying Musical Instrument Didital Interface (MIDI), an engine sound synthesis method and a constitutive model of an engine sound generation system are presented. In order to satisfy both drivers and pedestrians, this study uses Controller Area Network (CAN) communication to receive information such as Revolution Per Minute (RPM), vehicle speed, accelerator pedal depressed amount, torque, etc., transmitted according to the driver's driving habits, and then modulates the frequency according to the appropriate preset parameters We implemented an interaction algorithm that accurately reflects the intention of the system and driver by using interpolation for the system, ADPCM algorithm for reducing the amount of information, and MIDI format information for making engine sound easier.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.571-580
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• 2023

The purpose of this study is to evaluate the accessibility of the Cakewalk SI-Drum for the screen reader users. An evaluation was performed by testing the accessibility of the [Virtual Instrument Editing] that is a part of MIDI Production of the NCS(National Competency Standards) by using the SI-Drum and the Sense Reader. The results of this study are as follows. The SI-Drum has almost no basic accessibility for the screen users to do an above task. But the screen reader users can perform the tasks by using Sense Reader's Mouse Pointer function and Position Memory function. To use SI-Drum more efficiently, SI-Drum's basic accessibility have to be provided fully. Several suggestions are proposed to develop a fully accessible SI-Drum for the screen users.

• Smart Media Journal
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• v.11 no.10
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• pp.65-75
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• 2022

Deep learning is used as a creative tool that could overcome the limitations of existing analysis models and generate various types of results such as text, image, and music. In this paper, we propose a method necessary to preprocess audio data using the Niko's MIDI Pack sound source file as a data set and to generate music using Bi-LSTM. Based on the generated root note, the hidden layers are composed of multi-layers to create a new note suitable for the musical composition, and an attention mechanism is applied to the output gate of the decoder to apply the weight of the factors that affect the data input from the encoder. Setting variables such as loss function and optimization method are applied as parameters for improving the LSTM model. The proposed model is a multi-channel Bi-LSTM with attention that applies notes pitch generated from separating treble clef and bass clef, length of notes, rests, length of rests, and chords to improve the efficiency and prediction of MIDI deep learning process. The results of the learning generate a sound that matches the development of music scale distinct from noise, and we are aiming to contribute to generating a harmonistic stable music.

• The Science & Technology
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• v.32 no.1 s.356
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• pp.29-29
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• 1999

음악은 곧 과학의 한 형태이다. 수학적 관련에서 음계가 구성된 것처럼 악기도 음향적인 발달을 위해 지속적으로 발달되어 온 기계적 산물이다. 기술의 발달은 음악의 생산과 적응에 밀접한 관련을 맺고 있어 20세기 말 미디(MIDI)의 등장과 개인 컴퓨터 등의 보급은 음악산업 전반에 걸쳐 혁명적인 큰 변화를 불러왔다.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.401-414
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• 1997

This study examined the transition of costume in middle and high school girls after the abolition of school-uniform. Fashion photographs of $\ulcorner$Junior$\lrcorner$a Korean magazine for girls were used for the investigation. Skirts used mainly were changed in order of pleat tight flare and tight skirt And skirt length was changed in order of knee midi knee and mini. Slim baggy and straight pants together showed high frequency but after 1992 straight pants were used mainly. And pants of ankle length was prevalent. In jacket Hip line natural waist and H-line silhouette dominated. Silhouette of one-piece dress was changed in order or X line H line and A line. Semi fit and natural waist were prevalent. And length was changed in order of midi knee and mini. The coat of H line Loose semi fit and Knee length was the most frequently appeared style. Waist line of coat was changed in order of natural low no natural waist. In skirt blue white black and black were mainly in spring summer fall and winter respectively. In pants blue was used mainly regardless of the season, In jacket blue in spring and black in other seasons were used. In one-piece derss blue in spring red in summer black in fall and winter were used mainly. Black coat was used mainly. Therefore blue was the most frequently used color by middle and high school girls.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.48 no.2
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• pp.113-119
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• 2003

Soybean sprout pathogenic bacteria were isolated from the large, deep containers of a commercial factory. Over a period of one year, 40 pathogenic-like bacteria were isolated among a total of 732 isolates. In addition to bacteria previously reported to be associated with rotting, such as Pseudomonas putida and Erwinia carotovora, several other genera were also identified: Acinetobacter spp., Chryseobacterium spp., Klebsiella sp., Pantoea agglomerans, Bacillus sp. Fatty acid methyl ester (FAME) analysis using the Microbial ID (MIDI) system, and 16s rRNA sequence analysis, yielded identical results, confirming the identities of these microorganisms. Several types of selective media were not good for identification and determination of population structure in commercial environments, as colony type was not specific to the genus. There was no dominant bacterium, and we were not able to find the main bacterium responsible for soybean spout rot. Even though we did not identify a major target for controlling rot or screening for resistant cultivars, the results of this study indicated that bacterial rot of soybean sprout is endemic. In addition, it emerged that factory epidemics in summer are not caused by the bacteria isolated in this study.

• Korean Journal of Microbiology
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• v.33 no.2
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• pp.136-141
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• 1997

To elucidate whether there are bacteria excreting proteases in Korean traditional fermented food, soybean paste (Doen-Jang) or not, well growing bacteria with halos were isolated on the qkim milk agar media. The strains were identified as Bacillu, cereus JH-1, B. cereus SH-5, B. cereus SH-7 through various physiological and biochemical tests, VlTEK system, and MIDI system. The extracellular proteases of the strain JH-1, and SH-5, were optimal at pH 9, 40^{\circ}C.$, and the protease of strain SH-7 at pH 8 and 50^{\circ}C.$. Also hemolysis activities of the three strains were observed on the hlood agar media.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.217-223
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• 2023

In this paper, we propose a new model for the conditional generation of music, considering key and rhythm, fundamental elements of music. MIDI sheet music is converted into a WAV format, which is then transformed into a Mel Spectrogram using the Short-Time Fourier Transform (STFT). Using this information, key and rhythm details are classified by passing through two Convolutional Neural Networks (CNNs), and this information is again fed into the Music Transformer. The key and rhythm details are combined by differentially multiplying the weights and the embedding vectors of the MIDI events. Several experiments are conducted, including a process for determining the optimal weights. This research represents a new effort to integrate essential elements into music generation and explains the detailed structure and operating principles of the model, verifying its effects and potentials through experiments. In this study, the accuracy for rhythm classification reached 94.7%, the accuracy for key classification reached 92.1%, and the Negative Likelihood based on the weights of the embedding vector resulted in 3.01.