• Journal of electromagnetic engineering and science
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• v.14 no.2
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• pp.47-53
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• 2014

This paper presents a high gain and high harmonic rejection low-noise amplifier (LNA) for software-defined radio receiver. This LNA exploits the high quality factor (Q) series resonance technique. High Q series resonance can amplify the in-band signal voltage and attenuate the out-band signals. This is achieved by a source impedance transformation. This technique does not consume power and can easily support multiband operation. The chip is fabricated in a $0.13-{\mu}m$ CMOS. It supports four bands (640, 710, 830, and 1,070MHz). The measured forward gain ($S_{21}$) is between 12.1 and 17.4 dB and the noise figure is between 2.7 and 3.3 dB. The IIP3 measures between -5.7 and -10.8 dBm, and the third harmonic rejection ratios are more than 30 dB. The LNA consumes 9.6 mW from a 1.2-V supply.

• Child Health Nursing Research
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• v.12 no.3
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• pp.322-332
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• 2006

Purpose: This study was done to identify types of subjective perception of their disease by adolescents who have insulin dependent diabetes mellitus (IDDM) in order to better understand these adolescents and to determine effective nursing interventions. Method: Q-methodology was used in this study. The 36 Q-statements were selected through a literature review and in-depth interviews with participants. Data were collected from a 33 P-sample by sorting the 36 Q-statements into a 9 point standard. The data were analyzed using the PC QUANL program. Results: Five types of perception were identified: Type 1 being a recipient and having a will to cope with the disease, Type 2, seeking support from others, Type 3, emotional and negative coping, Type 4, pursuing own beliefs but with conflict at the same time, and Type 5 feeling under heavy pressure as their condition made them feel insecure, and they felt sorry to their families. Conclusion: The findings of the study are expected to contribute to improving clinical practices by helping nurses have a broader understanding of adolescents with IDDM, and exploring ideal nursing interventions.

• Tunnel and Underground Space
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• v.16 no.3 s.62
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• pp.203-208
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• 2006

This report is to introduce an article to compare 3 kinds of methods as RMR, Q-system and RMi published in Tunnel and Tunnelling Technology 2003. As rock mass classification is applied to estimate the amount of the support as an empirical design method, an attempt has been made to evaluate the parameters for classifications and their variations by Professor Nilsen and his team in Norway. Representability and reproducibility in measuring the field parameters are discussed and sensitivity of rating values in the three methods is also analyzed in this research. Although some parameters have high variation in rating among the 5 observers, the rock mass class has been found to be quite similar.

• Journal of Platform Technology
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• v.9 no.1
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• pp.3-14
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• 2021

Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.84-96
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• 1999

This study was conducted to identity the degree of burden and social support perceived by mothers of nephrotic syndrome patients. Also, relations between burden and social support were investigated to provide basis data for their family health and nursing intervention. The study subjects were mothers of nephrotic syndrome patients whose children were hospitalized in 2 Pediatric wards of University Hospital in Seoul and 1 in Pusan from Jun. 1, 1998 to Jun. 30, 1998. Burden measurement Instrument for this study was designed by the researcher and its basis in one developed by Montgomery et al.(1985) and the reliability was .78. Also. P.R.Q. Part I, II by Brandt and Weinert(1981) was used as social support measurement instrument and the reliability .71. The data analysis was done by SPSS, t-test, ANOVA Pearson correlation. The result were as follows. 1. Burden felt by mothers shows an average value of 60.82 (Maximum 86, Standard deviation 1.244). 2. Of the mother characteristics, the score of burden was high in case of no religion and low income. Of the patient characteristics, the score burden ranked as high MCNS, doing oral therapy, injection therapy at the same time and negative perceived patients condition. 3. The mean score of support was 77.54(Maximum 96, Standard deviation 1.096). 4. The main supporters were husband (the highest), brother, sister, health speciality and the subject expressed the highest satisfaction toward supporters in chronic disease. 5. Of the patient characteristics, the higher age group and the elder group showed high support. Also, positive perceived patient's condition, high support. 6. The relationship between burden and social support is not significant. In conclusion to the above study, the researcher suggests. 1. The Qualitative research to investigate influential factors on burden of family of nephrotic syndrome patients is needed.

• Journal of the Chungcheong Mathematical Society
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• v.22 no.4
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• pp.777-787
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• 2009

In this paper we investigate the upper bound on the Castelnuovo-Mumford regularity of a graded module with linear free presentation. Let M be a finitely generated graded module over a polynomial ring R with zero dimensional support. We prove that if M is generated by elements of degree $d{\geq}0$ with a linear free presentation $$\bigoplus^p{R}(-d-1)\longrightarrow^{\phi}\bigoplus^q{R}(-d){\longrightarrow}M{\longrightarrow}0$$, then the Castelnuovo-Mumford regularity of M is at most d+q-1. As an important application, we can prove vector bundle technique, which was used in [11], [13], [17] as a tool for obtaining several remarkable results.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.30-41
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• 2002

We focus on the mobile agents which are considered as new paradigm to solve information retrieval of large volumes of data in the distributed and heterogeneous environment. The mobile agent moves the computation to data instead of large volumes of data to computations. In this paper, we propose an information retrieval model, which can effectively search data in the distributed and heterogeneous environment, using mobile agents. Our model is applied to the design and implementation of an Q&A(Question and Answer) retrieval system. Our Q&A retrieval system, called QASSMA(Q&A Search System using Mobile Agents), uses mobile agents to retrieve articles from Q&A boards and newsgroups that exist in the heterogeneous and distributed environment. QASSMA has the following features and advantages. First, the mobile retrieval agent moves to the destination server to retrieve articles to reduce the retrieval time by eliminating data traffics from the server to the client host. Also it can reduce the traffic that was occurred in the centralized network system, and reduce the usage of resources by sending its agent and running in the destination host. Finally, the mobile retrieval agent of QASSMA can add and update dynamically the class file according to its retrieval environment, and support other retrieval manner. In this paper, we have shown that our Q&A retrieval system using mobile agents is more efficient than the retrieval system using static agents by our experiments.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.3
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• pp.239-248
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• 2020

Exact rock classification helps suitable support patterns to be installed. Face mapping is usually conducted to classify the rock mass using RMR (Rock Mass Ration) or Q values. There have been several attempts to predict the grade of rock mass using mechanical data of jumbo drills or probe drills and photographs of excavation surfaces by using deep learning. However, they took long time, or had a limitation that it is impossible to grasp the rock grade in ahead of the tunnel surface. In this study, a method to predict the Q value ahead of excavation surface is developed using recurrent neural network (RNN) technique and it is compared with the Q values from face mapping for verification. Among Q values from over 4,600 tunnel faces, 70% of data was used for learning, and the rests were used for verification. Repeated learnings were performed in different number of learning and number of previous excavation surfaces utilized for learning. The coincidence between the predicted and actual Q values was compared with the root mean square error (RMSE). RMSE value from 600 times repeated learning with 2 prior excavation faces gives a lowest values. The results from this study can vary with the input data sets, the results can help to understand how the past ground conditions affect the future ground conditions and to predict the Q value ahead of the tunnel excavation face.

• The Journal of the Acoustical Society of Korea
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• v.27 no.2
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• pp.75-79
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• 2008

In this paper, we propose a novel speech enhancement technique using global soft decision (GSD) based on the probabilistic outputs of support vector machine (SVM). Generally, speech enhancement algorithms applied soft decision gain modification and noise power estimation have bettor performance than those employing hard decision. Especially, global speech absence probability (GSAP), which is known as an effective measure of the speech absence in each frame, has been adopted to SD-based speech enhancement methods. For this reason, we introduce a new GSAP estimated from the probabilistic output of SVM using sigmoid function. The performance of the proposed algorithm is evaluated by the PESQ and MOS test under various noise environments and yields better results compared with the conventional GSD scheme.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.483-489
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• 2017

The purpose of this study was to propose useful suggestions for enhancing reliability to determine the resistance against surface wetting, KS K 0590, by an imaging process. We validated the standard spray test rating chart for determining quantification standard using JAVA script-based imaging process program. All of the acquired images were processed with the image software, Image J (NIH, Nethesda, MD, USA). The study results are as follows. We established the surface area measurement-based quantitative criteria for determining resistance to surface wetting. The standard spray test rating chart was converted into a numerical standard which leads easy-to-determine ratings. We also validated the procedure for imaging treatment by analyzing quantitative data. We introduced the fluorescence image for determining ratings by enabling threshold settings and binary image conversion as an optimal imaging process. It is expected that imaging-based determination for resistant to surface wetting will serve as an accurate and reliable method for KS K 0590.