• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.161-172
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• 2017

In the paper, a hybrid technique is proposed for detecting the location and capacity of distributed generation (DG) sources like wind and photovoltaic (PV) in power system. The novelty of the proposed method is the combined performance of both the Biography Based Optimization (BBO) and Particle Swarm Optimization (PSO) techniques. The mentioned techniques are the optimization techniques, which are used for optimizing the optimum location and capacity of the DG sources for radial distribution network. Initially, the Artificial Neural Network (ANN) is applied to obtain the available capacity of DG sources like wind and PV for 24 hours. The BBO algorithm requires radial distribution network voltage, real and power loss for determining the optimum location and capacity of the DG. Here, the BBO input parameters are classified into sub parameters and allowed as the PSO algorithm optimization process. The PSO synthesis the problem and develops the sub solution with the help of sub parameters. The BBO migration and mutation process is applied for the sub solution of PSO for identifying the optimum location and capacity of DG. For the analysis of the proposed method, the test case is considered. The IEEE standard bench mark 33 bus system is utilized for analyzing the effectiveness of the proposed method. Then the proposed technique is implemented in the MATLAB/simulink platform and the effectiveness is analyzed by comparing it with the BBO and PSO techniques. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.4
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• pp.272-279
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• 2008

Shot change detection is an important technique for effective management of video data, so detection scheme requires adaptive detection techniques to be used actually in various video. In this paper, we propose an adaptive shot change detection algorithm using the mean of feature value on variable reference blocks. Our algorithm determines shot change detection by defining adaptive threshold values with the feature value extracted from video frames and comparing the feature value and the threshold value. We obtained better detection ratio than the conventional methods maximally by 15% in the experiment with the same test sequence. We also had good detection ratio for other several methods of feature extraction and could see realtime operation of shot change detection in the hardware platform with low performance was possible by implementing it in TVUS model of HOMECAST company. Thus, our algerian in the paper can be useful in PMP(portable multimedia player) or other portable players.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.3
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• pp.277-283
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• 2016

In this paper, a system of self-interference signal cancelation for in-band full duplex has been implemented and tested in RF/analog region. The system performance has been evaluated with NI5791 platform and NI Flex RIO. Due to the low power level of the NI5791, the RF signal is amplified by SKYWORKS SE2565T power amplifier. A circulator is used to feed the antenna both the transmitter and receiver. The RF FIR filter is designed by twelve delay taps in two different groups, and the interval between each delay tap is designed to have 100 ps. The amplified signal is distributed to antenna and the FIR filter by use of a 10 dB directional coupler. The tap coefficients of the RF FIR filter are tuned to estimate the self-interference signal coming from antenna reflection and the leakage of the circulator, and the self-interference signal is subtracted. The system is test with 802.11a/g 20 MHz OFMD at 2.56 GHz, and the output power of the amplifier of 0 dBm. The self-interference signal is canceled out by 53 dB.

• Journal of the Korean Society of Costume
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• v.57 no.5 s.114
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• pp.58-71
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• 2007

This study conducted a survey to find out atopic dermatitis patients' required performance and preference in design factors to develop spring/summer(S/S) knitwears preferred by atopic patients. On the platform of achieved information from statistical analysis, S/S knitwear samples for atopic patients were designed and constructed with cotton/Seacell(R) blended yarn, And subjective wearing sensation were evaluated comparing the samples and the commercial products made with cotton/chitosan blended yarn, trying to help producing more comfortable S/S knitwears for atopic patients. SPSS 12.0 program was used for frequency analysis, Chi-square analysis, ANOVA, and Duncan test. The result was as follows; For comfort of S/S knitwears, atopic patients most considered skin care property. Atopic patients preferred simple and basic knitwear in light color with thin and soft fabric such as plain knit. The preferred style was that 'appropriately fit with suitable ease'. They also preferred 'closed front'; 'boat neckline' and 'V neckline'; 'raglan sleeve' and 'set-in sleeve'. For hem trim, they preferred 'rib' structure. Male preferred simple and plain style with 'round collar' and 'tubular or rib trim", while female preferred sophisticated and characteristic style with 'set-in sleeve' with 'rib trim'. Under the circumstances with insufficient functional knitwears developed, this study tried to develop comfort S/S knitwears for atopic dermatitis patients and the developed knitwears showed as good as or better performance in wearing feeling, fitting, and appearance than the previously developed functional goods.

• Textile Coloration and Finishing
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• v.29 no.4
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• pp.247-255
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• 2017

Scutellaria Baicalensis(SB) is widely used in traditional and modern oriental medicine. It possesses several biology activities such as anti-oxidative, anti-inflammatory, antimicrobial and antiviral activities. In this study, a functional high density polyethylene (HDPE) fabric with antimicrobial properties was developed using zeolite microparticles as a SB extract delivery carrier. Zeolites loaded with SB extract were prepared by immersing in an SB extract aqueous solution. The average size of the SB extract-loaded zeolites was about 0.1 to $2.0{\mu}m$, and the morphology of the zeolites was not altered after SB extract binding. The resulting SB extract-loaded zeolites were then immobilized homogeneously onto the HDPE fabric using acrylic binder. The encapsulation efficiency of SB extract to the zeolite was more than 45%. The in vitro release test of SB extract-loaded zeolites containing HDPE fabrics showed release of 35% of the total SB extract by day 1 in a 24hours immersion study. Moreover, the SB extract-loaded zeolites containing HDPE fabrics showed effective antimicrobial activity against Streptococcus mutans, Staphylococcus aureus, and Klebsiella pneumoniae, indicating that this innovative delivery platform potently imparted antimicrobial activity to the HDPE fabric. In conclusion, the current study suggests that the HDPE fabric containing the SB extract-loaded zeolites microparticle carrier system has potential as an effective antimicrobial textile such as safety gloves, protective gloves etc.

• The Journal of Korean Academy of Prosthodontics
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• v.21 no.1
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• pp.59-66
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• 1983

Distal extension partial dentures are supported by both the relatively rigid teeth and the resilient mucosa. So impression techniques of residual alveolar ridge in case of distal extension partial denture have particular importance in order to broad distribution of the masticatory force. McLean recognized the need for recording the tissues supporting distal extension partial denture base in functional form to equalize the resilient and non-resilient support, and this was called functional impression. Many investigators proposed various techniques of the functional impression for a distal extension partial denture, but only a little studies were performed about displacement of soft tissue under distal extension partial denture base. The purpose of this study is to investigate the amount of vertical displacement of the soft tissue under distal extension partial denture base by different functional impression techniques. Impression techniques used were Z.O.P. Impression, Selective Tissue Placement Impression, Functional Relining Impression. Measurement of the vertical displacement of soft tissue were made with Depth Gauge and Measuring Platform. A Anatomic Impression was used as a control. The results were tested statistically using 3 way ANOVA and Scheffe test. The followings were the results obtained from this study. 1. The greatest amount of soft tissue displacement was observed in the center of the retromolar pad. 2. No significant differences were found between the crest of alveolar ridge and the buccal shelf area. 3. The greatest soft tissue displacement was observed in Functional Relining Impression using Iowa wax, and the least displacement was observed in Selective Tissue Placement Impression using murcaptan rubber base. 4. No significant differences were found between finger pressure and biting pressure in Z.O.P. Impression, but greater displacement was observed by biting pressure than finger pressure in Functional Reling Impression.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.1
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• pp.68-76
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• 2018

Target prioritization is necessary for a multifunction radar(MFR) to track an important target and manage the resources of the radar platform efficiently. In this paper, we consider an artificial neural network(ANN) model that calculates the priority of the target. Furthermore, we propose a neural network learning algorithm based on the steepest descent method, which is more suitable for target prioritization by combining the conventional gradient descent method. Several simulation results show that the proposed scheme is much more superior to the traditional neural network model from analyzing the training data accuracy and the output priority relevance of the test scenarios.

• The Korean Journal of Emergency Medical Services
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• v.24 no.1
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• pp.7-24
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• 2020

Purpose: Emergency medical service (EMS) personnel are at high risk of spreading infection. In this study, we used the PRECEDE model to identify the knowledge, status, and barriers to infection control among Korean paramedics to provide basic infection control data. Methods: A total of 164 respondents were analyzed for the study. A questionnaire was administered and collected through an online self-response platform. Descriptive analysis, t-test, ANOVA, multiple regression, and logistic regression analyses were performed to determine infection control practices and associated factors using SAS 9.4. To identify the pathways and direct, indirect, total effects based on the PRECEDE model, we used AMOS 26.0. Results: Highly rated self-efficacy (OR 8.82, 95% CI: 3.23-24.09), awareness (OR 6.05, 95% CI: 2.06-17.72), and enabling factors (OR 3.23, 95% CI: 1.18-8.78) led to superior infection control. As a result of the structural model analysis, the highly rated enabling factors and awareness led to superior practice patterns. Conclusion: Practice is related to self-efficacy, awareness, and enabling factors; however, further research is needed to develop strategies for infection control. In particular, institutional arrangements are needed to improve the enabling factors. Improving infection control performance may lead to better infection control and enhanced protection of EMS personnel and patients against infection risks.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.8
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• pp.1456-1463
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• 2010

The safety critical systems in nuclear power plants should be designed to have a high level of fault tolerant capability because those systems are used for protection or mitigation of the postulated accidents of nuclear reactor. Due to increasing of the system complexity of the digital based system in nuclear fields, the reliability of the digital based systems without an auto-test or a self-diagnostic feature is generally lower than those of analog system. To overcome this problem, additional redundant architectures in each redundant channel and self-diagnostic features are commonly integrated into the digital safety systems. The self diagnostic function is a key factor for increasing fault tolerant capabilities in the digital based safety system. This paper presents an availability and safety evaluation model to analyze the effect to the system's fault tolerant capabilities depending on self-diagnostic features when the loss or erroneous behaviors of self-diagnostic function are expected to occur. The analysis result of the proposed model on the several modules of a safety platform shows that the improvement effect on unavailability of each module has generally become smaller than the result of usage of conventional models and the unavailability itself has changed significantly depending on the characteristics of failures or errors of self-diagnostic function.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.35-41
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• 2012

To control screen door installed in the subway platform, geared BLDC motors have been being used. However, because of the geared mechanisms, the control profile of the screen door in slow speed is very poor. Moreover, geared mechanism tends to leads system malfunctions and low efficiency. To overcome those problems, in this paper, the techniques of developing hi-efficiency direct drive gearless PMAC motor controller and application example to control the screen door of subway platforms are proposed. The developed system has advantages that; the energy efficiency has been increased by adopting gearless PMAC motor; the system break-down factor has been decreased due to the actuator mechanism has been simplified. In this paper, the screen door control system structure, PMAC motor drive circuit design, implementations of vector control algorithm, and test results are shown.