• Title/Summary/Keyword: Pre Processing

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Improvement of Environmental Sounds Recognition by Post Processing (후처리를 이용한 환경음 인식 성능 개선)

  • Park, Jun-Qyu;Baek, Seong-Joon
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.31-39
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    • 2010
  • In this study, we prepared the real environmental sound data sets arising from people's movement comprising 9 different environment types. The environmental sounds are pre-processed with pre-emphasis and Hamming window, then go into the classification experiments with the extracted features using MFCC (Mel-Frequency Cepstral Coefficients). The GMM (Gaussian Mixture Model) classifier without post processing tends to yield abruptly changing classification results since it does not consider the results of the neighboring frames. Hence we proposed the post processing methods which suppress abruptly changing classification results by taking the probability or the rank of the neighboring frames into account. According to the experimental results, the method using the probability of neighboring frames improve the recognition performance by more than 10% when compared with the method without post processing.

Finite Element Model for the Hydrodynamic Analysis in a River (하천에서의 동수력학적 유동해석을 위한 유한요소모형의 개발)

  • 한건연;이종태;김홍태
    • Water for future
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    • v.26 no.3
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    • pp.87-101
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    • 1993
  • A finite element model RIV-FEM2 for the hydrodynamic study in a river is developed based on two-dimensional shallow water wave equation and dissipative Galerkin's method. RIV-FEM2 consists of pre-processing, analysis processing and post-processing. Pre- and analysis processing is programmed with Fortran-77 and post-processing with turbo-Pascal respectively. The model is tested with two dimensional problems, including flow through bends, bridges, and symmetric contraction. The two dimensional tests shows stable and efficient results for various situations. Applicability of the model is verified by applying to natural river. The model will provide a basic contribution to the hydrodynamic analysis in a river.

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Effect of Pre-cooking Conditions on the Quality Characteristics of Ready-To-Eat Samgyetang

  • Triyannanto, Endy;Lee, Keun Taik
    • Food Science of Animal Resources
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    • v.35 no.4
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    • pp.494-501
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    • 2015
  • The aim of this study was to examine the effectiveness of pre-cooking conditions on the quality characteristics of ready-to-eat (RTE) Samgyetang. Raw chickens were steamed under the different conditions of 50℃/30 min (T1), 65℃/30 min (T2), 85℃/30 min (T3), and 90℃/10 min (T4) prior to retorting at 120℃ for 65 min. The results showed that pre-cooking conditions in all treated samples could reduce fat contents in breast and leg meats by 8.5-11.7% and 10.0-11.0% compared to the control, even though there were no significant differences among treatments (p>0.05). The L* and b* values of breast and leg meats treated with the higher temperature and longer time conditions were significantly higher than the control (p<0.05), while a* values tended to decrease despite of not to a significant extent (p>0.05). Moreover, apparent viscosity and water soluble protein showed insignificant differences (p>0.05) among the samples as a result of the retorting process, which might have more negative influences on the quality. T2 samples obtained significantly the highest average Quantitative Descriptive Analysis (QDA) score and transmittance value, representing the most clear broth among the samples, compared to the control. On the other hand, T3 showed the highest cooking loss among the treatments and the lowest QDA scores among the samples. In conclusion, pre-cooking treatment prior to retorting in manufacturing Samgyetang is a plausible way to reduce its fat content. A pre-cooking condition at either 65℃ for 30 min, or 90℃ for 10 min are recommended for producing Samgyetang with optimum quality.

An Experimental Study on the Forming Characteristics of Pre-Coated Metals (피복된 판재의 성형 특성에 관한 실험적 연구)

  • 김호윤;왕신일;배원병
    • Transactions of Materials Processing
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    • v.9 no.5
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    • pp.463-468
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    • 2000
  • An experimental study has been performed to investigate the forming characteristics of pre-coated metals(PCMs) widely used in domestic appliances through Erichsen tests and deep drawing tests. Erichsen tests are performed to find out the forming limits of seven pre-coated metals in normal conditions. Rectangular deep-drawing tests are carried out to know the effects of die materials and blank metals on forming loads and surface defects of final PCM products. In the deep-drawing test, four die materials [STD11(TiCN), STD11, STD11(TD), AMPCO] are used. In the Erichsen test, the forming limits of PCMs are obtained from flaking or crack of pre-coated films and lower than those of base metals. In respect of surface roughness and forming load, STD11(TD) and AMPCO materials are superior to my other die-materials used in the deep-drawing test.

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Fabrication of High Precision Pre-amplifier for EEG Signal Measurement and Development of Auto Classification System (뇌파신호 측정을 위한 고성능 전치증폭기 제작 및 자동 신호분류 시스템 개발)

  • 도영수;장긍덕;남효덕;장호경
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2000.11a
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    • pp.409-412
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    • 2000
  • A high performance EEG signal measurement system is fabricated. It consists of high precision pre-amplifier and auto identification bandwidth unit. High precision pre-amplifier is composed of signal generator, signal amplifier with a impedance converter, body driver and isolation amplifier. The pre-amplifier is designed for low noise characteristics, high CMRR, high input impedance, high IMRR and safety, Auto identification bandwidth unit is composed of AD-converter and PIC micro-controller for real time processing EEG signal. The performance of EEG signal measurement system has been shown the classified bandwidth through the clinical demonstrations.

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Iterative Pre-Whitening Projection Statistics for Improving Multi-Target Detection Performance in Non-Homogeneous Clutter (불균일 클러터 환경에서 다중 표적탐지 성능 향상을 위한 반복 백색화 투영 통계 기법)

  • Park, Hyuck;Kang, Jin-Whan;Kim, Sang-Hyo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.4
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    • pp.120-128
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    • 2012
  • In this paper, we propose a modified iterative pre-whitening projection statistics (MIPPS) scheme for improving multi-target detection performance in non-homogeneous clutter environments. As a non-homogeneity detection (NHD) technique of space-time adaptive processing algorithm for airborne radar, the MIPPS scheme improves the average detection probability of weak target when multiple targets with different reflection signal intensities are located in close range. Numerical results show that the conventional NHD schemes suffers from the masking effect by strong targets and clutters and the proposed MIPPS scheme outperforms the conventional schemes with respect to the average detection probability of the weak target at low signal-to-clutter ratio.

Current Status of GM Crop Discrimination Technology Using Spectroscopy (분광분석법을 이용한 형질전환 작물 판별 기술 현황)

  • Sohn, Soo-In;Oh, Young-Ju;Cho, Woo-Suk;Cho, Yoonsung;Shin, Eun-Kyoung;Kang, Hyeon-jung
    • Korean Journal of Environmental Agriculture
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    • v.39 no.3
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    • pp.263-272
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    • 2020
  • BACKGROUND: This paper describes the successful discrimination of GM crops from the respective wild type (WT) controls using spectroscopy and chemometric analysis. Despite the many benefits that GM crops, their development has raised concerns, particularly about their potential negative effects on food production and the environment. From this point of view, the introduction of GM crops into the market requires the development of rapid and accurate identification technologies to ensure consumer safety. METHODS AND RESULTS: The development of a GM crop discrimination model using spectroscopy involved the pre-processing of the collected spectral information, the selection of a discriminant model, and the verification of errors. Examples of GM versus WT discrimination using spectroscopy are available for soybeans, tomatoes, corn, sugarcane, soybean oil, canola oil, rice, and wheat. Here, we found that not only discrimination but also cultivar grouping was possible. CONCLUSION: Since for the determination of GM crop there is no pre-defined pre-processing method or calibration model, it is extremely important to select the appropriate ones to increase the accuracy in a case-by-case basis.

Mobile Transaction Processing in Hybrid Broadcasting Environment (복합 브로드캐스팅 환경에서 이동 트랜잭션 처리)

  • 김성석;양순옥
    • Journal of KIISE:Databases
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    • v.31 no.4
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    • pp.422-431
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    • 2004
  • In recent years, different models in data delivery have been explored in mobile computing systems. Particularly, there were a lot of research efforts in the periodic push model where the server repetitively disseminates information without explicit request. However, average waiting time per data operation highly depends on the length of a broadcast cycle and different access pattern among clients may deteriorate the response time considerably. In this case, clients are preferably willing to send a data request to the server explicitly through backchannel in order to obtain optimal response time. We call the broadcast model supporting backchannel as hybrid broadcast. In this paper, we devise a new transaction processing algorithm(O-PreH) in hybrid broadcast environments. The data objects which the server maintains are divided into Push_Data for periodic broadcasting and Pull_Data for on-demand processing. Clients tune in broadcast channel or demand the data of interests according to the data type. Periodic invalidation reports from the server support maintaining transactional consistency. If one or more conflicts are found, conflict orders are determined not to violate the consistency(pre-reordering) and then the remaining operations have to be executed pessimistically. Through extensive simulations, we demonstrate the improved throughput of the proposed algorithm.

Predictive value of sperm motility before and after preparation for the pregnancy outcomes of intrauterine insemination

  • Jeong, Mina;Kim, Seul Ki;Kim, Hoon;Lee, Jung Ryeol;Jee, Byung Chul;Kim, Seok Hyun
    • Clinical and Experimental Reproductive Medicine
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    • v.48 no.3
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    • pp.255-261
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    • 2021
  • Objective: This study aimed to investigate sperm motility and its changes after preparation as predictors of pregnancy in intrauterine insemination (IUI) cycles. Methods: In total, 297 IUI cycles from January 2012 to December 2017 at a single tertiary hospital were retrospectively analyzed. Patient and cycle characteristics, and sperm motility characteristics before and after processing were compared according to clinical pregnancy or live birth as outcomes. Results: The overall clinical pregnancy rate per cycle was 14.5% (43/297) and the live birth rate was 10.4% (30/289). Patient and cycle characteristics were similar between pregnant and non-pregnant groups. Sperm motility after preparation and the total motile sperm count before and after processing were comparable in terms of pregnancy outcomes. Pre-preparation sperm motility was significantly higher in groups with clinical pregnancy and live birth than in cycles not resulting in pregnancy (71.4%±10.9% vs. 67.2%±11.7%, p=0.020 and 71.6% ±12.6% vs. 67.3%±11.7%, p=0.030, respectively). The change in sperm motility after processing was significantly fewer in the non-pregnant cycles, both when the comparison was conducted by subtraction (post-pre) and division (post/pre). These relationships remained significant after adjusting for the female partner's age, anti-Müllerian hormone level, and number of pre-ovulatory follicles. According to a receiver operating characteristic curve analysis, an initial sperm motility of ≥72.5% was the optimal threshold value for predicting live birth after IUI. Conclusion: Initial sperm motility, rather than the motility of processed sperm or the degree of change after preparation, predicted live birth after IUI procedures.

DPICM subprojectile counting technique using image analysis of infrared camera (적외선 영상해석을 이용한 이중목적탄 자탄계수 계측기법연구)

  • Park, Won-Woo;Choi, Ju-Ho;Lyou, Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.11-16
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    • 1997
  • This paper describes the grenade counting system developed for DPICM submunition analysis using the infrared video streams, and its some video stream processing technique. The video stream data processing procedure consists of four sequences; Analog infrared video stream recording, video stream capture, video stream pre-processing, and video stream analysis including the grenade counting. Some applications of this algorithms to real bursting test has shown the possibility of automation for submunition counting.

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