• ETRI Journal
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• v.46 no.4
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• pp.697-707
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• 2024

Music identification is widely regarded as a solved problem for music searching in quiet environments, but its performance tends to degrade in TV broadcast audio owing to the presence of dialogue or sound effects. In addition, constructing an accurate dataset for measuring the performance of background music monitoring in TV broadcast audio is challenging. We propose a framework for monitoring background music by automatic identification and introduce a background music cue sheet. The framework comprises three main components: music identification, music-speech separation, and music detection. In addition, we introduce the Cue-K-Drama dataset, which includes reference songs, audio tracks from 60 episodes of five Korean TV drama series, and corresponding cue sheets that provide the start and end timestamps of background music. Experimental results on the constructed and existing datasets demonstrate that the proposed framework, which incorporates music identification with music-speech separation and music detection, effectively enhances TV broadcast audio monitoring.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.1
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• pp.107-117
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• 2003

Polishing a die that has free-form surfaces is a time-consuming and tedious job, and requires a considerable amount of high-precision skill. In order to reduce the polishing time and cope with the shortage of skilled workers, an automatic polishing robot system was developed. The polishing robot system is composed of two subsystems, a three-axis machining center and a two-axis polishing head. The machining center is controlled by a FANUC controller, and the polishing head by DSP controller. The system has five degrees of freedom and is able to keep the polishing tool normal to the die surface during operation. To easily operate the developed polishing robot system, this study developed an integrated operating program in the Windows environment. The program consists of five modules: a polishing data generation module, a code separation module, a polishing module, a graphic simulator module, and a teaching module. And, the automatic teaching system was developed to easily obtain teaching data and it consists of a three dimensional joystick and a proximity sensor. Also, to evaluate the performance of the integrated operating program and the polishing robot system, polishing experiments of a die of shadow mask were carried out.

• International Journal of Precision Engineering and Manufacturing
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• v.5 no.3
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• pp.69-76
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• 2004

Polishing a die that has free-form surfaces is a time-consuming and tedious job, and requires a considerable amount of high-precision skill. In order to reduce the polishing time and cope with the shortage of skilled workers, an automatic polishing robot system was developed. The polishing robot system is composed of two subsystems, a three-axis machining center and a two-axis polishing head. The machining center is controlled by a FANUC controller, and the polishing head by DSP controller. The system has five degrees of freedom and is able to keep the polishing tool normal to the die surface during operation. To easily operate the developed polishing robot system, this study developed an integrated operating program in the Windows environment. The program consists of five modules: a polishing data generation module, a code separation module, a polishing module, a graphic simulator module, and a teaching module. Also, the automatic teaching system was developed to easily obtain teaching data and it consists of a three dimensional joystick and a proximity sensor. Also, to evaluate the performance of the integrated operating program and the polishing robot system, polishing experiments of a die of shadow mask were carried out.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.1
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• pp.125-130
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• 2013

In this paper, in order to overcome shortcomings of manual inspection for the automotive PWM Shaft, we developed an automated inline inspection system. The automated inline inspection system consists of the work feeder unit, conveying unit, outer diameter check unit, run-out and roundness check unit, machine vision, defective separation unit and status alarm unit. We used the machine vision system for automatic inspection process and designed the inline systems for automatic feeding and selecting process. Also the repeated operation test was performed in order to verify the precision and reliability of the proposed automated inline inspection system.

• International Journal of Fluid Machinery and Systems
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• v.9 no.1
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• pp.95-106
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• 2016

A method of optimization design for the blade profile of a centrifugal impeller by controlling velocity distribution is presented, and a plenum fan is successfully designed. This method is based on the inner flow calculation inside the centrifugal impeller, and is related to the distribution of relative velocity. The results show that after optimization, the boundary layer separation on the suction surface has been inhibited and the stability of plenum fan is improved. The flow at the impeller outlet is also studied, and the jet-wake pattern at the impeller outlet is improved obviously by optimization. The calculation result shows that the static pressure and static pressure efficiency can be increased by 15.4% and 21.4% respectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.127-134
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• 2018

In this paper, we have developed the Auto Lip-Sync Maya plug-in for extracting Korean phonemes from voice data and text information based on Korean and produce high quality 3D lip-sync animation using divided phonemes. In the developed system, phoneme separation was classified into 8 vowels and 13 consonants used in Korean, referring to 49 phonemes provided by Microsoft Speech API engine SAPI. In addition, the pronunciation of vowels and consonants has variety Mouth Shapes, but the same Viseme can be applied to some identical ones. Based on this, we have developed Auto Lip-sync Maya Plug-in based on Python to enable lip-sync animation to be implemented automatically at once.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.45 no.3
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• pp.36-44
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• 2013

This study is focused on the debarking and xylem separation yield of Paper Mulberry. We investigated the most efficient manual on the automatic debarking and xylem separator machine. The bast tissues of Paper Mulberry were separated in three layers including black outer layer, green inner layer, and white inner layer. A target is to save the white inner layer of these three layers as much as possible. The experimental machine most characterize xylem separation and debarking by frictional force between the bulges and Paper Mulberry by the drum rotation. It is possible automatically to operate the machine by controlling the temperature sensor and the time. Debarking process can be know that removed black outer layer has beem accumulate and measured the weight. The content of the extract, holocellulose, lignin and ashes of the white inner layer was analyzed. It is result that conditions of optimum process of the experimental machine is 45 RPM, temperature at $60^{\circ}C$(60 min.) and $80^{\circ}C$(60 min.), mixing bulge of 10 mm(120ea) and 30 mm(120ea) and capacity of Paper Mulberry 10 kg.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.1
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• pp.19-25
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• 2021

Purpose: This study seeks to develop behavior-induced automatic separation X-Bin for disposable cup speculators. Some students throw away the contents. Research design, data and methodology: Therefore, environmental beautification workers spend a lot of time sorting disposable cups at school garbage collection sites. Disposable cups that have been thrown away like this are bad in terms of appearance and smell. In addition, cleaning inside garbage affects recycling rates and is closely related to environmental problems. Results: Clean cleaning reduces the amount of garbage incinerated without being recycled and reduces the cost of recycling. According to Korean Social Trends 2020, COVID-19 began to spread, and recycling of disposable items such as disposable cups increased by about 15 percent from the same period last year. Conclusions: These are classified for recycling, and the amount of garbage thrown on the streets is estimated to be larger. In order to prevent COVID-19s, the use of disposable goods is inevitable, but facilities are needed to dispose of them properly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.382-384
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• 2021

In this study, we implement a system that automatically classifies types of plastics using YOLO (You Only Look Once), a real-time object recognition algorithm. The system consists of Nvidia jetson nano, a small computer for deep learning and computer vision, with model trained to recognize plastic separation emission marks using YOLO. Using a webcam, recycling marks of plastic waste were recognized as PET, HDPE, and PP, and motors were adjusted to be classified according to the type. By implementing this automatic classifier, it is convenient in that it can reduce the labor of separating and discharging plastic separation marks by humans and increase the efficiency of recycling through accurate recycling.

• Journal of Biosystems Engineering
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• v.32 no.2 s.121
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• pp.84-90
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• 2007

This study was conducted to design and manufacture a final prototype of garlic separator and to evaluate its performance. The performance of garlic separation was compared with manual separation. The final prototype for garlic separation consists of bucked-elevator device for automatic feed of garlic, rotating cone typed device, blower, and power transmission device. The optimal condition of outlet clearance was 19 mm and in this clearance, the proportions of fragment garlic separated in the large quality of Namdo garlic and all quality of Uiseong garlic were above 95% and above 85%, respectively. All proportion of damaged garlic was below 5% for all variety and quality. The garlic separation capacities of this developed machine were 310 kg/h for Namdo garlic and 293.6 kg/h for Uiseong garlic in the large quality. Capacities of final prototype compared with human being were $12.9{\sim}19.6$ times for Namdo and $24.2{\sim}31.7$ times Uiseong garlic, respectively.