• Earthquakes and Structures
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• v.24 no.1
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• pp.1-9
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• 2023

A model for calculating structure interacted mechanics is proposed. A structural interaction model and controller design based on tuned mass damping (TMD) was developed to control the induced vibration. A key point is to introduce a new analytical model to evaluate the properties of the TMD that recognizes the motion-dependent nonlinear response observed in the simulations. Aiming at the problem of increased current harmonics and low efficiency of permanent magnet synchronous motors for electric vehicles due to dead time effect, a dead time compensation method based on neural network filter and current polarity detection is proposed. Firstly, the DC components and the higher harmonic components of the motor currents are obtained by virtue of what the neural network filters and the extracted harmonic currents are adjusted to the required compensation voltages by virtue of what the neural network filters. Then, the extracted DC components are used for current polarity dead time compensation control to avert the false compensation when currents approach zero. The neural network filter method extracts the required compensation voltages from the speed component and the current polarity detection compensation method obtains the required compensation voltages by discriminating the current polarity. The combination of the two methods can more precisely compensate the dead time effect of the control system to improve the control performance. Furthermore, based on the relaxed method, the intelligent approach of stability criterion can be regulated appropriately and the artificial TMD was found to be effective in reducing cross-wind vibrations.

• Journal of Broadcast Engineering
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• v.22 no.5
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• pp.632-642
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• 2017

In this paper, we propose a DNN based speech detection system using acoustic characteristics and context information of media audio. The speech detection for discriminating between speech and non-speech included in the media audio is a necessary preprocessing technique for effective speech processing. However, since the media audio signal includes various types of sound sources, it has been difficult to achieve high performance with the conventional signal processing techniques. The proposed method improves the speech detection performance by separating the harmonic and percussive components of the media audio and constructing the DNN input vector reflecting the acoustic characteristics and context information of the media audio. In order to verify the performance of the proposed system, a data set for speech detection was made using more than 20 hours of drama, and an 8-hour Hollywood movie data set, which was publicly available, was further acquired and used for experiments. In the experiment, it is shown that the proposed system provides better performance than the conventional method through the cross validation for two data sets.

• The Korean Journal of Cytopathology
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• v.7 no.2
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• pp.169-176
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• 1996

This study was peformed in order to evaluate the usefulness of the crush cytologic features and differential diagnosis between meningiomas and schwannomas in the central nervous system. Deeply seated and unusually located meningiomas and schwannomas with equivocal or erroneous frozen section diagnosis can be correctly diagnosed cytologically in crush preparations. Twenty-four meningiomas and nine schwannomas were studied by frozen section and crush preparation technique. These tumors displayed distinctive cytologic features. in meningiomas, the tumor tissue fragments were easy to crush, and the tumor cells were arranged in small clusters, flat sheets, papilla-like, whorling pattern or singly. Individual tumor cells displayed round or oval nuclei with finely granular chromatin pattern and inconspicuous small nucleoli. Occasionally psammoma bodies, nuclear pseudoinclusion or nuclear grooves were found. In schwannomas, tissue fragments were hard in consistency and difficult to crush. The crushed tissue presented as thick, irregular fragments with shard borders. The cells showed ill-defined cytoplasm and round, oval, cigar-shaped or curved nuclei. It is important to emphasize that the smear pattern under low-power view and cytologic features are helpful in discriminating between these two tumors.

• Journal of the Korean Society for Nondestructive Testing
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• v.35 no.1
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• pp.1-11
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• 2015

In this study, an online seed potato sorting system using a visible and near infrared (40 1100 nm) transmittance spectral technique and statistical model was evaluated for the nondestructive determination of infected and sound seed potatoes. Seed potatoes that had been artificially infected with Pectobacterium atrosepticum, which is known to cause a soil borne disease infection, were prepared for the experiments. After acquiring transmittance spectra from sound and infected seed potatoes, a determination algorithm for detecting infected seed potatoes was developed using the partial least square discriminant analysis method. The coefficient of determination($R^2_p$) of the prediction model was 0.943, and the classification accuracy was above 99% (n = 80) for discriminating diseased seed potatoes from sound ones. This online sorting system has good potential for developing a technique to detect agricultural products that are infected and contaminated by pathogens.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.175-183
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• 2012

The study investigates peer rating, one of the most commonly used sources of performance rating other than those of supervisors. On the whole, both field and laboratory studies indicate that peer assessment is a valid and reliable evaluation procedure, but on average, peer rating is not usually accurate. The aim of the investigation is to explore the relationship of beliefs and attitude about the performance appraisal system as well as a dispositional characteristic as self-monitoring with rating behavior. In particular, the study tests whether the relationship between rating context variables-appraisal self efficacy and appraisal validity- and rating behavior depends in part on the personality of the rater. Data from 445 undergraduate students are analyzed for hypotheses testing. The study finds evidences that the high on appraisal self efficacy and appraisal validity are more likely to affect discriminating rating tendency and to reduce rating level. Results also show that self-monitoring make the moderating effects between contextual factors and rating behaviors. Some implications, future research directions, and limitations are discussed.

• The Journal of Korean Medicine
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• v.20 no.3 s.39
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• pp.9-17
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• 1999

Objectives: Recently a renovation of the medical-welfare system to reflect the changes of disease spectrum with the demographic changes of society, the increase in income level, and marked concerns for health promotion has been demanded. In accordance with this, attempts have been made to actively integrate traditional medicine based on symptom-differentiated treatment and Western medicine based on disease treatment so that they can complement each other. China has already tried a complementary medical treatment system integrating traditional Chinese and Western medicine. So, this article reviewed major advances in research on integrated traditional Chinese medicine and Western medicine in China. Methods: The authors analyzed data from clinical articles and experimental works in the ' Chinese Journal of Integrated Traditional and Western Medicine' Results and conclusions: Each department attempted to integrate Traditional Chinese Medicine(TCM) and Western Medicine in treatment of various diseases such as malaria, AIDS, and intoxication (rarely found in Korea clinically). Especially in the departments of surgery, dentistry, radiology, and anesthesiology we could see the frequent use of combined treatment. TCM and Western medicine complemented each other very successfully, and the effect of the combined therapy was superior to that of traditional therapy alone. There were diverse methods for therapy in integrated TCM and Western medicine; bath-Tx, physical-Tx, manipulative-Tx, drug -acupuncture, Tibetan medicine, etc. were available in therapy as well as traditional methods such as acupuncture, moxibustion, and negative- Tx. The way of producing Chinese medications were diversified and formulated; making new prescriptions, compounding various kinds of new medicine called' Zhong Cheng Yao' (中成藥) which were easily made, stored, and taken. 'Diagnosis Criteria', 'The effect of TCM Treatment Criteria' were made by committee and broadly used for objectifying diagnosis, discriminating effects of treatments and treatment development, and developing new medical products.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.9-14
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• 2018

The vision system is a device for acquiring images and analyzing and discriminating inspection areas. Demand for use in the automation process has increased, and the introduction of a vision-based inspection system has emerged as a very important issue. These vision systems are used for everyday life and used as inspection equipment in production processes. Image processing technology is actively being studied. However, there is little research on the area definition for extracting objects such as character recognition or semiconductor packages. In this paper, define a region of interest and perform edge extraction to prevent the user from judging noise as an edge. We propose a noise-robust alignment correction model that can extract the edge of a region to be inspected using the distribution of edges in a specific region even if noise exists in the image. Through the proposed model, it is expected that the product production efficiency will be improved if it is applied to production field such as character recognition of tire or inspection of semiconductor packages.

• Journal of Biomedical Engineering Research
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• v.24 no.2
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• pp.99-106
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• 2003

In this paper, a method of discriminating EEG for diagnoses of mental activity is proposed. The proposed method for classification of schizophrenia and normal EEG is based on the wavelet transform and the artificial neural network. The wavelet coefficients of $\alpha$ band, $\beta$ band, $\theta$ band, and $\delta$ band are obtained using the wavelet transform. The magnitude, mean, and variance of wavelet coefficients for each EEG band are applied to the input data of the system's ANN. The architecture of the ANN s a four layered feedforward network with two hidden layer which implements the error back propagation learning algorithm. Through the classification of schizophrenia composed of 19 ANNs corresponding to 19 channels, the classifying system show that it can classify the 100% of the normal EEG group and the 86.67% of the schizophrenia EEG group.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.5
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• pp.423-432
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• 2018

Surface water mapping has been widely used in various remote sensing applications. Water indices have been commonly used to distinguish water bodies from land; however, determining the optimal threshold and discriminating water bodies from similar objects such as shadows and snow is difficult. Deep learning algorithms have greatly advanced image segmentation and classification. In particular, FCN (Fully Convolutional Network) is state-of-the-art in per-pixel image segmentation and are used in most benchmarks such as PASCAL VOC2012 and Microsoft COCO (Common Objects in Context). However, these data sets are designed for daily scenarios and a few studies have conducted on applications of FCN using large scale remotely sensed data set. This paper aims to fine-tune the pre-trained FCN network using the CRMS (Coastwide Reference Monitoring System) data set for surface water mapping. The CRMS provides color infrared aerial photos and ground truth maps for the monitoring and restoration of wetlands in Louisiana, USA. To effectively learn the characteristics of surface water, we used pre-trained the DeepWaterMap network, which classifies water, land, snow, ice, clouds, and shadows using Landsat satellite images. Furthermore, the DeepWaterMap network was fine-tuned for the CRMS data set using two classes: water and land. The fine-tuned network finally classifies surface water without any additional learning process. The experimental results show that the proposed method enables high-quality surface mapping from CRMS data set and show the suitability of pre-trained FCN networks using remote sensing data for surface water mapping.

• Journal of Biosystems Engineering
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• v.22 no.3
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• pp.295-302
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• 1997

An ultimate purpose of this study was to develop an automatic system for brown rice quality inspection using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor magnifying the input image and optical fiber for oblique lightening. Primarily, geometical and optical features of images were analyzed with paddy and the various brown rice kernel samples such as a sound, cracked, peen-transparent, green-opaque, colored, white-opaque and brokens. Secondary, geometrical and optical parameters significant for identifying each rice kernels were screened by a statistical analysis(STEPWISE and DISCRIM procedure, SAS wer. 6) and an algorithm fur on- line discrimination of the rice kernels in static state were developed, and finally its performance was evaluated. The results are summarized as follows. 1) It was ascertained that the cracked kernels can be detected when e incident angle of the oblique light is less than 2$0^{\circ}C$ but detectivity was significantly affected by the angle between the direction of the oblique light and the longitudinal axis of the rice kernel and also by the location of the embryo with respect to the oblique light. 2) The most significant Parameters which can discriminate brown rice kernels are area, length and R, B and r values among the several geometrical and optical parameters. 3) Discrimination accuracies of the algorithm were ranged from 90% to 96% for a sound, cracked, colored, broken and unhulled, about 81 % for green-transparent and white-opaque and 75 % for green-opaque, respectively.