• Title/Summary/Keyword: Dual approach

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Enhancing Multiple Steady-State Visual Evoked Potential Responses Using Dual-frequency tACS (이중 주파수 tACS를 이용한 안정상태 시각 유발 전위 반응 향상)

  • Jeonghui Kim;Sang-Su Kim;Young-Jin Jung;Do-Won Kim
    • Journal of Biomedical Engineering Research
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    • v.45 no.2
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    • pp.101-107
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    • 2024
  • Steady-state visual evoked potential-based brain-computer interface (SSVEP-BCI) is one of the promising systems that can serve as an alternative input device due to its stable and fast performance. However, one of the major bottlenecks is that some individuals exhibit no or very low SSVEP responses to flickering stimulation, known as SSVEP illiteracy, resulting in low performance on SSVEP-BCIs. However, a lengthy duration is required to enhance multiple SSVEP responses using traditional single-frequency transcranial alternating current stimulation (tACS). This research proposes a novel approach using dual-frequency tACS (df-tACS) to potentially enhance SSVEP by targeting the two frequencies with the lowest signal-to-noise ratio (SNR) for each participant. Seven participants (five males, average age: 24.42) were exposed to flickering checkerboard stimuli at six frequencies to determine the weakest SNR frequencies. These frequencies were then simultaneously stimulated using df-tACS for 20 minutes, and the experiment was repeated to evaluate changes in SSVEP responses. The results showed that df-tACS effectively enhances the SNR at each targeted frequency, suggesting it can selectively improve target frequency responses. The study supports df-tACS as a more efficient solution for SSVEP illiteracy, proposing further exploration into multi-frequency tACS that could stimulate more than two frequencies, thereby expanding the potential of SSVEP-BCIs.

A Study on Preprocessing Method in Deep Learning for ICS Cyber Attack Detection (ICS 사이버 공격 탐지를 위한 딥러닝 전처리 방법 연구)

  • Seonghwan Park;Minseok Kim;Eunseo Baek;Junghoon Park
    • Smart Media Journal
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    • v.12 no.11
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    • pp.36-47
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    • 2023
  • Industrial Control System(ICS), which controls facilities at major industrial sites, is increasingly connected to other systems through networks. With this integration and the development of intelligent attacks that can lead to a single external intrusion as a whole system paralysis, the risk and impact of security on industrial control systems are increasing. As a result, research on how to protect and detect cyber attacks is actively underway, and deep learning models in the form of unsupervised learning have achieved a lot, and many abnormal detection technologies based on deep learning are being introduced. In this study, we emphasize the application of preprocessing methodologies to enhance the anomaly detection performance of deep learning models on time series data. The results demonstrate the effectiveness of a Wavelet Transform (WT)-based noise reduction methodology as a preprocessing technique for deep learning-based anomaly detection. Particularly, by incorporating sensor characteristics through clustering, the differential application of the Dual-Tree Complex Wavelet Transform proves to be the most effective approach in improving the detection performance of cyber attacks.

A New Dual Connective Network Resource Allocation Scheme Using Two Bargaining Solution (이중 협상 해법을 이용한 새로운 다중 접속 네트워크에서 자원 할당 기법)

  • Chon, Woo Sun;Kim, Sung Wook
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.8
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    • pp.215-222
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    • 2021
  • In order to alleviate the limited resource problem and interference problem in cellular networks, the dual connectivity technology has been introduced with the cooperation of small cell base stations. In this paper, we design a new efficient and fair resource allocation scheme for the dual connectivity technology. Based on two different bargaining solutions - Generalizing Tempered Aspiration bargaining solution and Gupta and Livne bargaining solution, we develop a two-stage radio resource allocation method. At the first stage, radio resource is divided into two groups, such as real-time and non-real-time data services, by using the Generalizing Tempered Aspiration bargaining solution. At the second stage, the minimum request processing speeds for users in both groups are guaranteed by using the Gupta and Livne bargaining solution. These two-step approach can allocate the 5G radio resource sequentially while maximizing the network system performance. Finally, the performance evaluation confirms that the proposed scheme can get a better performance than other existing protocols in terms of overall system throughput, fairness, and communication failure rate according to an increase in service requests.

Dual Trajectory Modeling Approach to Analyzing Latent Classes in Youth Employees' Job Satisfaction and Turnover Intention Trajectories (청년 취업자의 직무만족도와 이직의사 변화의 잠재계층에 대한 이중 변화형태 모형의 적용)

  • No, Un-Kyung;Hong, Se-Hee;Lee, Hyun-Jung
    • Survey Research
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    • v.12 no.2
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    • pp.113-144
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    • 2011
  • The purposes of the present study were (1) to identify the latent classes depending on youth employees' trajectories in job satisfaction and turnover intention and (2) to test the effects of person-job fit(major fit, education level fit, skill level fit) on job satisfaction and turnover intention using Youth Panel 2001. In order to estimate latent classes of job satisfaction and turnover intention changes simultaneously and study probabilities linking latent class membership in trajectory across the two variables, we applied dual trajectory model, an extension of semi-parametric group-based approach, Results showed that four latent classes were identified for job satisfaction, which were defined, based on the trajectory patterns, as increasing group, decreasing group, medium-level group, and high-level group. And, three latent classes estimated for turnover intention were defined as low-level group, maintaining group, and rapidly decreasing group. To test the effects of person-job fit variables, we added the variables as time-dependant variables to the unconditional latent class model. The effect of education level fit and skill level fit were found significant in the groups which are low in job satisfaction and have high in turnover intention. Findings from this study suggest the need to consider trajectory heterogeneity in the study of youth employees' job satisfaction and turnover intention to capture the dynamic dimension of overlap between the two constructs.

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Ultrasound Targeted Microbubble Destruction for Novel Dual Targeting of HSP72 and HSC70 in Prostate Cancer

  • Wang, Hang-Hui;Song, Yi-Xin;Bai, Min;Jin, Li-Fang;Gu, Ji-Ying;Su, Yi-Jin;Liu, Long;Jia, Chao;Du, Lian-Fang
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.3
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    • pp.1285-1290
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    • 2014
  • The aim was to determine whether ultrasound targeted microbubble destruction (UTMD) promotes dual targeting of HSP72 and HSC70 for therapy of castration-resistant prostate cancer (CRPC), to improve the specific and efficient delivery of siRNA, to induce tumor cell specific apoptosis, and to find new therapeutic targets specific of CRPC.VCaP cells were transfected with siRNA oligonucleotides. HSP70, HSP90 and cleaved caspase-3 expression were determined by real-time quantitative polymerase chain reaction and Western blotting. Apoptosis and transfection efficiency were assessed by flow cytometry. Cell viability assays were used to evaluate safety. We found HSP72, HSC70 and HSP90 expression to be absent or weak in normal prostate epithelial cells (RWPE-1), but uniformly strong in prostate cancerous cells (VCaP). UTMD combined with dual targeting of HSP72 and HSC70 siRNA improve the efficiency of transfection, cell uptake of siRNA, downregulation of HSP70 and HSP90 expression in VCaP cells at the mRNA and protein level, and induction of extensive tumor-specific apoptosis. Cell counting kit-8 assays showed decreased cellular viability in the HSP72/HSC70-siRNA silenced group. These results suggest that the combination of UTMD with dual targeting HSP70 therapy for PCa may be most efficacious, providng a novel, reliable, non-invasive, safe targeted approach to improve the specific and efficient delivery of siRNA, and achieve maximal effects.

Transareolar-Perinipple Dual Pockets Breast Augmentation (횡유륜 유두주위절개를 통한 이중포켓 유방확대술)

  • Lee, Paik Kwon;Kim, Jee Hoon;Seo, Byung Chul;Oh, Deuk Young;Rhie, Jong Won;Ahn, Snag Tae
    • Archives of Plastic Surgery
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    • v.34 no.1
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    • pp.93-98
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    • 2007
  • Purpose: Many options are available for the incision and pocket selection in breast augmentation. Each method has its advantages and disadvantages. To leave an invisible operation scar and to achieve easier pocket dissection by the central location of the incision on the breast, we made a transareolar-perinipple incision. To overcome the disadvantages of the transareolar incision, originally advocated by Pitanguy in 1973, we modified the direction of incision line and dissection plane. Methods: To avoid the injury of 4th intercostal nerve responsible for nipple sensation, we made perinipple incision on the medial side of the nipple instead of trans-nipple incision and made the transareolar incision as 11-5 o'clock on the left side and 1-7 o'clock on the right side instead of 3-9 o'clock on both sides. To avoid the possible infection and breast feeding problem caused by the injury to the lactiferous duct, and the possible implant hernia caused by the incisions lying on a same plane of pocket dissection, we made a subcutaneous dissection just above the breast tissue medially down to the bottom of breast tissue and made a subglandular or subfascial pocket, which may avoid the injury of lactiferous duct and create different planes for skin incision and pocket dissection. Other advantages of the transareolar-perinipple incision include easier pocket dissection, less chance of hematoma, and as a result less postoperative pain because of the central location of the approach which allow finger dissection and meticulous bleeding control with direct vision, without any specialized instrument such as an endoscope or long mammary dissectors. As for pocket selection, we made dual pockets. We prefer subglandular or subfascial pocket. Also, we made a subpectoral pocket in the upper 1/4 of the pocket to add more volume on the upper part of the augmented breast, which can make aesthetically more desirable breasts in thin Asian women with small breasts. Possible disadvantages of our method are subclinical infection and scar widening, which could be overcome by meticulous operation techniques, antibiotic therapy, and intradermal tattooing. Results: From September, 2003 to August, 2005, 12 patients underwent breast augmentation using round smooth surface saline implants by our method. During the mean follow-up period of 13 months, there were no complications such as infection, hematoma, capsular contracture, and sensory change of nipple, and results were satisfactory. Conclusion: We suggest breast augmentation via transareolar-perinipple incision and dual pockets(subpectoral-subglandular or subfascial) as a valuable method in thin oriental women with small breasts.

Diagnostic Efficacy and Safety of Low-Contrast-Dose Dual-Energy CT in Patients With Renal Impairment Undergoing Transcatheter Aortic Valve Replacement

  • Suyon Chang;Jung Im Jung;Kyongmin Sarah Beck;Kiyuk Chang;Yaeni Kim;Kyunghwa Han
    • Korean Journal of Radiology
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    • v.25 no.7
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    • pp.634-643
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    • 2024
  • Objective: This study aimed to evaluate the diagnostic efficacy and safety of low-contrast-dose, dual-source dual-energy CT before transcatheter aortic valve replacement (TAVR) in patients with compromised renal function. Materials and Methods: A total of 54 consecutive patients (female:male, 26:38; 81.9 ± 7.3 years) with reduced renal function underwent pre-TAVR dual-energy CT with a 30-mL contrast agent between June 2022 and March 2023. Monochromatic (40- and 50-keV) and conventional (120-kVp) images were reconstructed and analyzed. The subjective quality score, vascular attenuation, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR) were compared among the imaging techniques using the Friedman test and post-hoc analysis. Interobserver reliability for aortic annular measurement was assessed using the intraclass correlation coefficient (ICC) and Bland-Altman analysis. The procedural outcomes and incidence of post-contrast acute kidney injury (AKI) were assessed. Results: Monochromatic images achieved diagnostic quality in all patients. The 50-keV images achieved superior vascular attenuation and CNR (P < 0.001 in all) while maintaining a similar SNR compared to conventional CT. For aortic annular measurement, the 50-keV images showed higher interobserver reliability compared to conventional CT: ICC, 0.98 vs. 0.90 for area and 0.97 vs. 0.95 for perimeter; 95% limits of agreement width, 0.63 cm2 vs. 0.92 cm2 for area and 5.78 mm vs. 8.50 mm for perimeter. The size of the implanted device matched CT-measured values in all patients, achieving a procedural success rate of 92.6%. No patient experienced a serum creatinine increase of ≥ 1.5 times baseline in the 48-72 hours following CT. However, one patient had a procedural delay due to gradual renal function deterioration. Conclusion: Low-contrast-dose imaging with 50-keV reconstruction enables precise pre-TAVR evaluation with improved image quality and minimal risk of post-contrast AKI. This approach may be an effective and safe option for pre-TAVR evaluation in patients with compromised renal function.

Security Cost Analysis with Linear Ramp Model using Contingency Constrained Optimal Power Flow

  • Lyu, Jae-kun;Kim, Mun-Kyeom;Park, Jong-Keun
    • Journal of Electrical Engineering and Technology
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    • v.4 no.3
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    • pp.353-359
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    • 2009
  • This paper proposes a novel technique for calculating the security costs that properly includes ramping constraints in the operation of a deregulated power system. The ramping process is modeled by a piecewise linear function with certain assumptions. During this process, a ramping cost is incurred if the permissible limits are exceeded. The optimal production costs of the power producers are calculated with the ramping cost included, considering a time horizon with N-1 contingency cases using contingency constrained optimal power flow (CCOPF), which is solved by the primal-dual interior point method (PDIPM). A contingency analysis is also performed taking into account the severity index of transmission line outages and its sensitivity analysis. The results from an illustrative case study based on the IEEE 30-bus system are analyzed. One attractive feature of the proposed approach is that an optimal solution is more realistic than the conventional approach because it satisfies physical constraints, such as the ramping constraint.

Extended Forecasts of a Stock Index using Learning Techniques : A Study of Predictive Granularity and Input Diversity

  • Kim, Steven H.;Lee, Dong-Yun
    • Asia pacific journal of information systems
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    • v.7 no.1
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    • pp.67-83
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    • 1997
  • The utility of learning techniques in investment analysis has been demonstrated in many areas, ranging from forecasting individual stocks to entire market indexes. To date, however, the application of artificial intelligence to financial forecasting has focused largely on short predictive horizons. Usually the forecast window is a single period ahead; if the input data involve daily observations, the forecast is for one day ahead; if monthly observations, then a month ahead; and so on. Thus far little work has been conducted on the efficacy of long-term prediction involving multiperiod forecasting. This paper examines the impact of alternative procedures for extended prediction using knowledge discovery techniques. One dimension in the study involves temporal granularity: a single jump from the present period to the end of the forecast window versus a web of short-term forecasts involving a sequence of single-period predictions. Another parameter relates to the numerosity of input variables: a technical approach involving only lagged observations of the target variable versus a fundamental approach involving multiple variables. The dual possibilities along each of the granularity and numerosity dimensions entail a total of 4 models. These models are first evaluated using neural networks, then compared against a multi-input jump model using case based reasoning. The computational models are examined in the context of forecasting the S&P 500 index.

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An Ecological Approach to Analyzing Variables in the Parenting Stress of the Working Mothers (취업모의 양육 스트레스에 영향을 미치는 생태학적 변인 탐색)

  • Kim, Ki-Hyun
    • Korean Journal of Human Ecology
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    • v.9 no.1
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    • pp.71-84
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    • 2000
  • The objective of this research is to investigate the relation between the parenting stress, recognized by the working mothers, and associated variables systematically. For the purpose, I analyzed the demographic of the working mothers and surrounding variables at the levels of microsystem, mesosystem, and macrosystems, to relate with respect to the parenting stress problem. The research composes the sample space of working mothers having children less than 6 years old. The data were analyzed by the statistical method based on frequency, percentile, Pearson's correlation, hierachical and multiple regression. The main results of the research can be summarized as follows: According to the independent effects of diverse ecological systematic variables, there are shown that 11 independent variables can describe about 55.6% of the parenting stress of the working mothers. Among these variables, 'satisfaction about the child care' is the most significant factor, which covers about 34.5%. Additionally, the next significances are observed from such variables as 'temperament of children' (8.2%), 'satisfaction of marriage' (5.1%), 'support of spouse' (1.5%), 'level of education' (1.9%) and so on. In conclusion, it is strongly recommended to compensate and restructure the child care systems more systematically, to afford more reliable parenting environment to the dual earner mothers and fathers and children simultaneously.

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