• Journal of Information Processing Systems
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• v.17 no.1
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• pp.89-106
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• 2021

Different samples can have different effects on learning support vector machine (SVM) classifiers. To rebalance an imbalanced dataset, it is reasonable to reduce non-informative samples and add informative samples for learning classifiers. Safe sample screening can identify a part of non-informative samples and retain informative samples. This study developed a resampling algorithm for Rebalancing imbalanced data using Safe Sample Screening (Re-SSS), which is composed of selecting Informative Samples (Re-SSS-IS) and rebalancing via a Weighted SMOTE (Re-SSS-WSMOTE). The Re-SSS-IS selects informative samples from the majority class, and determines a suitable regularization parameter for SVM, while the Re-SSS-WSMOTE generates informative minority samples. Both Re-SSS-IS and Re-SSS-WSMOTE are based on safe sampling screening. The experimental results show that Re-SSS can effectively improve the classification performance of imbalanced classification problems.

• Journal of Acupuncture Research
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• v.37 no.2
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• pp.88-93
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• 2020

Background: The purpose of this study was to investigate whether Sibseonsan (SSS) is an effective antiinflammatory, anti-wrinkling, and whitening agent. Methods: To determine whether SSS had an anti-inflammatory effect, a murine macrophage cell line was used (RAW 264.7) and production of DPPH, NO, TNF-α, and PGE₂ were measured. To ascertain potential anti-wrinkle effects of SSS in these cells, collagenase and elastase production were measured. To verify whether SSS had a whitening effect, tyrosinase activity and DOPA staining were performed using a melanoma cell line (B16/F10). Results: There was no significant reduction in survival of SSS-treated RAW 264.7 cells, up to 400 ㎍/mL. Free radical scavenging (23.96 ± 1.85%) was observed in RAW 264.7 cells treated with SSS at a concentration of 400 ㎍/mL. The SSS treatment group (400 ㎍/mL) significantly inhibited NO production compared with the LPS stimulated treatment group. The SSS treatment of macrophage cells appeared to reduce production of TNF-α in a concentration dependent manner. There was a significant reduction in the concentration of PGE₂ by about 25% in the SSS treatment (400 ㎍/mL) group (p = 0.05). Compared with the control, the production of collagenase and elastase in B16/F10 cells treated with SSS (400 ㎍/mL) was greater by 26.37% and 45.71%, respectively. The SSS treatment (400 ㎍/mL) group showed a significant reduction by about 17% in tyrosinase production in B16/F10 cells. The SSS treatment group showed little change in DOPA staining. Conclusion: SSS extract may be useful for the treatment and prevention of inflammatory diseases and may have anti-wrinkle and whitening effects. These results may support the use of SSS in clinical practice.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1C
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• pp.113-122
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• 2010

In this paper, we propose a CP (Cyclic Prefix) detection based SSS (Secondary Synchronization Signal) detection method for initial cell search in 3GPP LTE (3rd Generation Partnership Project Long Term Evolution) FDD/TDD (Frequency Division Duplex/Time Division Duplex) dual mode downlink receiver. In general, a blind coherent SSS detection method which can detect SSS without CP detection is applied. However, coherent detection method caused performance degradation by channel compensation error at high speed environment because it uses estimated CFR (Channel Frequency Response) at PSS (Primary Synchronization Signal), and it can be more serious problem in TDD mode due to increased distance between PSS and SSS. Also blind detectionhas the drawback of high computational complexity. Therefore, we proposed a CP type pre-decision structure with non-coherent SSS detection which has stable operation in high speed channel environments for 3GPP LTE TDD mode as well as FDD mode, and can reduce computational complexity by applying CP detection before SSS detection. Simulation results show that the proposed method has stable operation for 3GPP LTE TDD/FDD dual mode downlink receiver in various channel environments.

• Clinical and Experimental Pediatrics
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• v.46 no.2
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• pp.195-197
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• 2003

Sick sinus syndrome(SSS) constitutes a spectrum of cardiac arrhythmia, including sinus bradycardia, sinus pause-arrest, sinoatrial block, slow escape rhythm, bradyarrhythmia and tachyarrhythmia. SSS is relatively uncommon in children but its exact incidence is unknown because diagnostic criteria are not uniform and most children with SSS, in general are asymptomatic. SSS may be primary(organic sinus node disease) or secondary(cardiac surgery comprises much of SSS in children and adolescents), but it can hardly be caused by familial relations as well. We reports an occurrence of familial sick sinus syndrome. Mother was diagnosed as SSS, which was presented by symptoms of dizziness and treated by permanent pacemaker(DDD). Also, two daughters revealed SSS with non-compacted cardiomyopathy on neonatal screening and fetal echocardiography respectively. We concluded that familial SSS may occur, so familial screening should be suggested.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.747-763
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• 2022

Ocean salinity affects ocean circulation on a global scale and low salinity water around coastal areas often has an impact on aquaculture and fisheries. Microwave satellite sensors (e.g., Soil Moisture Active Passive [SMAP]) have provided sea surface salinity (SSS) based on the dielectric characteristics of water associated with SSS and sea surface temperature (SST). In this study, a Light Gradient Boosting Machine (LGBM)-based model for generating high resolution SSS from Geostationary Ocean Color Imager (GOCI) data was proposed, having machine learning-based improved SMAP SSS by Jang et al. (2022) as reference data (SMAP SSS (Jang)). Three schemes with different input variables were tested, and scheme 3 with all variables including Multi-scale Ultra-high Resolution SST yielded the best performance (coefficient of determination = 0.60, root mean square error = 0.91 psu). The proposed LGBM-based GOCI SSS had a similar spatiotemporal pattern with SMAP SSS (Jang), with much higher spatial resolution even in coastal areas, where SMAP SSS (Jang) was not available. In addition, when tested for the great flood occurred in Southern China in August 2020, GOCI SSS well simulated the spatial and temporal change of Changjiang Diluted Water. This research provided a potential that optical satellite data can be used to generate high resolution SSS associated with the improved microwave-based SSS especially in coastal areas.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.9A
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• pp.656-663
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• 2009

In 3GPP LTE system downlink, PSS (primary synchronization signal) and SSS (secondary synchronization signal) sequences are used for initial cell search and synchronization. UE (user equipment) detects slot timing, frequency offset, and cell ID by using PSS. After that it should detect frame timing, cell group ID, and CP length by using SSS. But in 3GPP LTE, there are two kinds of CP length, so we should operate FFT twice. In this paper, to minimize SSS detection complexity in cell searcher, we propose a CP length pre-decision algorithm that reduces the arithmetical complexity by half at most, with negligible performance degradation.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.9-15
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• 2001

In this paper we investigate context dependent acoustic models to improve the performance of the Korean speech recognition . The algorithm are using the Korean phonological rules and decision tree, By Successive State Splitting(SSS) algorithm the Hidden Merkov Netwwork(HM-Net) which is an efficient representation of phoneme-context-dependent HMMs, can be generated automatically SSS is powerful technique to design topologies of tied-state HMMs but it doesn't treat unknown contexts in the training phoneme contexts environment adequately In addition it has some problem in the procedure of the contextual domain. In this paper we adopt a new state-clustering algorithm of SSS, called Phonetic Decision Tree-based SSS (PDT-SSS) which includes contexts splits based on the Korean phonological rules. This method combines advantages of both the decision tree clustering and SSS, and can generated highly accurate HM-Net that can express any contexts To verify the effectiveness of the adopted methods. the experiments are carried out using KLE 452 word database and YNU 200 sentence database. Through the Korean phoneme word and sentence recognition experiments. we proved that the new state-clustering algorithm produce better phoneme, word and continuous speech recognition accuracy than the conventional HMMs.

• Journal of The Korean Association For Science Education
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• v.27 no.1
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• pp.1-8
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• 2007

The purpose of this study was to examine the effects of science-related and scientific attitudes in Small-Scale Science (SSS) experimental learning on 3rd grade middle school students. Two classes were chosen from a middle school in Pohang and classified into two groups: the first group, the experimental group, composed of twenty-six students, undergoing SSS and the other group, comparison group, composed of twenty-five students who were taught experimental learning by the traditional teaching method. The major observations of this study are as follows: The SSS experimental learning significantly influenced the students' science-related and scientific attitudes within the experimental group. Also, there was a meaningful difference in the subcategory of science-related attitudes and scientific attitudes before and after the SSS experimental learning. Otherwise, there was no significant difference in comparison group. In conclusion, the class using the SSS was positively influenced in forming students' science-related and scientific attitudes. In particular, the effect on subcategories of science-related attitudes such as attitude towards science are more remarkable. The SSS experimental learning helps students to enhance the subcategorial factors of scientific attitude such as their curiosity, critical thinking, cooperation, self-participation, persistence and ingenuity. The SSS experimental learning, therefore, can improve learning attitudes.

• Smart Structures and Systems
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• v.26 no.1
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• pp.89-102
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• 2020

Shape memory alloy (SMA)-based Superelasticity-assisted Slider (SSS) is proposed as an engineering solution to practically exploit the well-accepted advantages of both sliding isolation and SMA-based recentering. Self-centering capability in SSS is provided by austenitic SMA cables (or wire ropes), recently attracting a lot of interest and attention in earthquake engineering and seismic isolation. The cables are arranged in various novel and conventional configurations to make SSS versatile for aseismic design and retrofit of structures. All the configurations are detailed with thorough technical drawings. It is shown that SSS is applicable without the need for Isolation Units (IUs). IUs, at the same time, are devised for industrialized applications. The proof-of-concept study is carried out through the examination of mechanical behavior in all the alternative configurations. Force-displacement relations are determined. Isolation capabilities are predicted based on the decreases in seismic demands, estimated by the increases in effective periods and equivalent damping ratios. Restoring forces normalized relative to resisting forces are assessed as the criteria for self-centering capabilities. Lengths of SMA cables required in each configuration are calculated to assess the cost and practicality. Practical implementation is realized by setting up a small-scale IU. The effectiveness of SSS under seismic actions is evaluated using an innovative computer model and compared to those of well-known Isolation Systems (ISs) protecting a reference building. Comparisons show that SSS seems to be an effective IS and suitable for earthquake protection of both structural and non-structural elements. Further research aimed at additional validation of the system are outlined.

• The Journal of Korean Academic Society of Nursing Education
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• v.7 no.2
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• pp.183-195
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• 2001

The purpose of this study was to identity the relationship among emotional expression, emotional support, and psychosocial well-being, to analyze the factor affect the psychosocial well-being and to provide the data-based for effective development of emotional education program. The subjects for this study were 553 undergraduate college nursing students. The period of data collection was from 16 to 30, June, 2001. The instruments used for this study were emotional expressiveness scale (EES), ambivalence over emotional expressiveness questionnaire (AEQ), affect intensity measure (AIM), social support scale (SSS), and psychosocial well-being index (PWI). Data were analyzed by use of Descriptive Statistics, ANOVA, t-test, Stepwise multiple regression, Pearson's correlation coefficient with SPSS WIN program. The Major results were as follows: 1. The average score of items for the AIM, EES, AEQ were moderate at 3.8, 3.7 and 3.4. The level of SSS was high at 7.2 and PWI was low at 52.1. 2. Significant correlation were found between the AIM, EES, and AEQ. The EES was positively correlated with the SSS and negatively correlated with the PWI. On the other hand, the AEQ was positively associated with the PWI and negatively associated with the SSS. There was significantly negative correlation between the SSS and PWI. 3. In demographic characteristics, significant difference was shown only in the EES. The EES was significantly different according to grade. The difference in the SSS and PWI between 3groups were significant at the EES and AEQ. 4. Results from hierarchical multiple regression analysis indicated that the EES, AEQ, and AIM had influence on the SSS. And perceived the AEQ and SSS together explained 18.7% of variance in the PWI. The results of study provide evidence about the roles of emotion in psychosocial well-being. As a result, this study suggests that later study would be required to identify factors affect the psychosocial well-being and to develop the emotional education program to enhance emotional expression.