• Title/Summary/Keyword: Processing parameters

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Solution for Spatial Sound Realization in MIDI Specification

  • Cho, Sang-Jin;Ovcharenko, Alexander;Chae, Jin-Wook;Chong, Ui-Pil
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2005.11a
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    • pp.274-277
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    • 2005
  • Panning is the way in which to realize a spatial sound in MIDI by moving sound images by the loudness of each channel. However, there is a limitation for the natural spatial sound. The HRTF (Head Related Transfer Function) has been widely known as one of the ways to realize spatial sound using the two channels, but it needs much processing power. It is very hard to implement a real time processing structure. In this paper, we propose an improved 3D sound model for the spatial sound location by changing the acoustic parameters. We could get a good result from the experiment with MIDI Pan and our Model.

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Digital Image Processing of Side Scan Sonar for Underwater Man-made Structure (수중 인공구조물에 대한 사이드스캔소나 탐사자료의 영상처리)

  • Shin, Sung-Ryul;Lim, Min-Hyuk;Kim, Kwang-Eun
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.2
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    • pp.344-354
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    • 2009
  • Side scan sonar using acoustic wave plays a very important role in the underwater, sea floor, and shallow marine geologic survey. In this study, we have acquired side scan sonar data for the underwater man-made structures, artificial reefs and fishing grounds, installed and distributed in the survey area. We applied digital image processing techniques to side scan sonar data in order to improve and enhance an image quality. We carried out digital image processing with various kinds of filtering in spatial domain and frequency domain. We tested filtering parameters such as kernel size, differential operator, and statistical value. We could easily estimate the conditions, distribution and environment of artificial structures through the interpretation of side scan sonar.

Characteristic of size distribution of rock chip produced by rock cutting with a pick cutter

  • Jeong, Hoyoung;Jeon, Seokwon
    • Geomechanics and Engineering
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    • v.15 no.3
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    • pp.811-822
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    • 2018
  • Chip size distribution can be used to evaluate the cutting efficiency and to characterize the cutting behavior of rock during cutting and fragmentation process. In this study, a series of linear cutting tests was performed to investigate the effect of cutting conditions (specifically cut spacing and penetration depth) on the production and size distribution of rock chips. Linyi sandstone from China was used in the linear cutting tests. After each run of linear cutting machine test, the rock chips were collected and their size distribution was analyzed using a sieving test and image processing. Image processing can rapidly and cost-effectively provide useful information of size distribution. Rosin-Rammer distribution pamameters, the coarseness index and the coefficients of uniformity and curvature were determined by image processing for different cutting conditions. The size of the rock chips was greatest at the optimum cut spacing, and the size distribution parameters were highly correlated with cutter forces and specific energy.

Measurement of Spray Characteristics for Gasoline Injector Using the Image Processing Technology (화상처리 기술을 이용한 가솔린 인젝터의 분무 특성 측정)

  • Lee, K.H.;Lee, C.S.;Lee, C.H.;Lee, J.S.
    • Journal of ILASS-Korea
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    • v.5 no.2
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    • pp.68-74
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    • 2000
  • A this experimental study is executed to analyze spray characteristics for air-shrouded injector and 4hole 2spray type injector used in a gasoline engine. Since spray parameters including spray penetration and angle, SMD, and atomization characteristics are very important to increase the engine performance, the image processing algorithm for measuring the non-spherical spray diameter is developed. Spray characteristics of the air-shrouded injector(2hole 2spray) and 4hole-2spray injector are analyzed respectively by this digital image processing method. Effective spray characteristics to injectors is derived from this experimentation and obtained the design guide for gasoline injector.

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A Reconfigurable Digital Signal Processing Architecture for the Evolvable Hardware System (진화 하드웨어 시스템을 위한 재구성 가능한 디지털 신호처리 구조)

  • Lee, Han-Ho;Choi, Chang-Seok;Lee, Yong-Min;Choi, Jin-Tack;Lee, Chong-Ho;Chung, Duk-Jin
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.663-664
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    • 2006
  • This paper presents a reconfigurable digital signal processing(rDSP) architecture that is effective for implementing adaptive digital signal processing in the applications of smart health care system. This rDSP architecture employs an evolution capability of FIR filters using genetic algorithm. Parallel genetic algorithm based rDSP architecture evolves FIR filters to explore optimal configuration of filter combination, associated parameters, and structure of feature space adaptively to noisy environments for an adaptive signal processing. The proposed DSP architecture is implemented using Xilinx Virtex4 FPGA device and SMIC 0.18um CMOS Technology.

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Aircraft Recognition from Remote Sensing Images Based on Machine Vision

  • Chen, Lu;Zhou, Liming;Liu, Jinming
    • Journal of Information Processing Systems
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    • v.16 no.4
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    • pp.795-808
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    • 2020
  • Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introduced into the Yolov3 network structure, and then the data set was cluster analyzed using the k-means algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pre-training model and improved the resolution of the input image. Finally, our method adopted multi-scale training model. In this paper, we used remote sensing aircraft dataset of RSOD-Dataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.

Tool Wear Monitoring with Vision System by Block Processing (화상의 블럭처리기법을 이용한 공구마멸 측정기술)

  • Lee, Sang-Jo;Cho, Chang-Yeon;Lee, Jong-Hang
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.3
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    • pp.81-86
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    • 1993
  • It is well known that the interest on the on-line sensing of tool wear is growing more and more with the aim of controlling machine tools productivity from the point of view of quality. This paper describes the sensing of the amount of flank wear with vision system. To obtain a proper image He-Ne laser generator is used as the lighting source and obtained image is processed with block processing algorithm and morphological image processing method. By means of this system it is possible to evaluate the parameters of tool wear. Experimental tests performed with this system on an NC lathe have shown good performances here described and discussed.

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Embedded System-Based Fast Fourier Transform Method for Measuring Water Content in Crude Oil

  • Shuqi Jia;Xiaolei Wang;Zhe Kan
    • Journal of Information Processing Systems
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    • v.20 no.3
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    • pp.399-408
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    • 2024
  • The moisture content of crude oil notably affects various aspects of oil production, storage, transportation, and exploration. However, accurately measuring this moisture content is challenging because of numerous influencing factors, leading to a lack of precision in existing detection methods. This inadequacy hinders the progress of China's petroleum industry. To overcome these challenges, this paper proposes a conductivity-based method for measuring crude oil moisture content. By employing an embedded system, we designed a sensor comprising five electrodes. Additionally, we developed signal excitation and signal processing circuits. Moreover, a software program was designed to analyze and compute the output signal using fast Fourier transform operations. This facilitated the identification of flow patterns, computation of relevant flow rates, and establishment of correlation rates based on frequency spectral characteristics. Based on experimental results, we established a functional relationship between measurement parameters and crude oil moisture content. This study enhanced the precision of moisture content measurement, thereby addressing existing limitations and fostering the advancement of China's petroleum industry.

The Design and Implementation of the Mutual Message Processing between WME Module and MLME Module for Vehicle Communication Technology (차량 통신 기술을 위한 WME 모듈과 MLME 모듈 간의 상호 메시지 처리과정 설계 및 구현)

  • Jang, Chung Ryong;Lee, Dae Sik;Lee, Yong Kwon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.2
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    • pp.63-71
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    • 2013
  • WAVE(Wireless Access for Vehicular Environment) System is a communication technology to monitor system failure and vehicle functions and management services to prevent possible incidents of driving a vehicle. In this paper, we have designed and implemented the mutual message processing through parameter between WME management module that manages WAVE system and MLME that manages the upper layer MAC(Media Access Control) module. Also, in order to verify the validity, we have carried out experiments to compare the speed of data processing by dividing data of 1Mbyte, 2Mbyte, 3Mbyte into the packets of 2KByte and 4KByte. Experiments data processing speed of 2KByte packet were shown about 173.62ms in 1MByte, 2MByte about 352.61ms, 3MByte about 550.13ms and, data processing speed of 4KByte packet, 1MByte approximately 87.56ms, 2MByte about 177.94ms, 3MByte about 277.18ms. Therefore, in WAVE system, the mutual messages processing through the parameters between WME and MLME module can be utilized in the various service of ITS(Intelligent Transportation Systems) depending on the speed of data processing.

3D Printing of Materials and Printing Parameters with Animal Resources: A Review

  • Eun Young Jeon;Yuri Kim;Hyun-Jung Yun;Bum-Keun Kim;Yun-Sang Choi
    • Food Science of Animal Resources
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    • v.44 no.2
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    • pp.225-238
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    • 2024
  • 3D printing technology enables the production of creative and personalized food products that meet consumer needs, such as an attractive visual appearance, fortification of specific nutrients, and modified textures. To popularize and diversify 3D-printed foods, an evaluation of the printing feasibility of various food pastes, including materials that cannot be printed natively, is necessary. Most animal resources, such as meat, milk, and eggs, are not inherently printable; therefore, the rheological properties governing printability should be improved through pre-/post-processing or adding appropriate additives. This review provides the latest progress in extrusion-based 3D printing of animal resource-based inks. In addition, this review discusses the effects of ink composition, printing conditions, and post-processing on the printing performance and characteristics of printed constructs. Further research is required to enhance the sensory quality and nutritional and textural properties of animal resource-based printed foods.