• Journal of Ocean Engineering and Technology
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• v.7 no.2
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• pp.114-120
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• 1993

Responses of marine vehicles and ocean structures in a seaway can be predicted by applying the probabilistic approach. When we consider a linear system, the responses in a random seaway can be evaluated through spectral analysis in the frequency domain. But when we treat nonlinear system in irregular waves, it is necessary to get time history of waves. In the previous study we introduced one-directional waves (long crested waves)as wave environment and carried out calculations and experiments in the waves. But the real sea in which marine vehicles and structures are operated has multi-directional waves (short crested waves). It is important to get a simulated random sea and analyse dynamic problems in the sea. We need entire sample function or probabillty density function to infer statistical value of random process. However if the process are ergodic process, we can get statistical values by analysis of one sample function. In this paper, we developed the simulation technique of multi-directional waves and proved that the time history given by this method keep ergodic characteristics by the statistical analysis.

• The Journal of the Acoustical Society of Korea
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• v.15 no.3E
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• pp.4-12
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• 1996

In this study, we examine the applicability of an artificial neural network(ANN) for filtering underwater random noise and for identifying underlying signals taken from noisy environment. The approach is to find a way of compressing the input data and then decompressing it using an ANN as in image compressing process. It is well known that random signal is hard to compress while ordered information is not. The use of a limited number of processing elements(PEs) in the hidden layer of an Ann ensures that some of the noise would be removed in the reconstruction process. Two types of the signals, synthesized and measured, are used to examine the effectiveness of the ANN-based filter. After training process is completed, the ANN successfully extracts the underlying signals form the synthesized or measured noisy signals. In particular, compared with the results form without filtering or moving averaged, the ANN-based filter gives much better spectrograms to identify underlying signals from the measured noisy data. This filtering process is achieved without using and kind of highly accurate signal processing technique. More experimentation needs to be followed to develop the ANN-based filtering technique to the level of complete understanding.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.14 no.4
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• pp.293-306
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• 1989

In this paper, the models and characteristics of multipath propagation in an urban environment are described. Three propagation models(a random model, a ray model and a method of estimating time delay is proposed based on the envelope correlation between two radio frequencies. It is shown on the basis of laboratory simulation and field tests that the simple two-ray model is an adequate model for the fundamental study of the multipath propagation characteristic of the mobile radiowave and the estimating time delays of multipath-propagated waves in an urban area.

• Survey Research
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• v.12 no.2
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• pp.77-88
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• 2011

Korean telephone surveys have been based on telephone directory and thus criticized for considerable under-coverage. Now, Korean survey institutions progress to random digit dialing (RDD) very actively. But still most surveys are administered by quota sampling, prone to assign heavier weights to social classes with more hours staying indoor. As a practical remedy, time-balanced quota sampling scheme was proposed by Huh and Hwang (2006). This study compares two telephone surveys on TV audience environment in Korea: RDD with conventional quota sampling versus RDD with time-balanced quota sampling.

• Journal of Communications and Networks
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• v.14 no.5
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• pp.566-577
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• 2012

In randomly deployed networks, such as sensor networks, an important problem for each node is to discover its neighbor nodes so that the connectivity amongst nodes can be established. In this paper, we consider this problem by incorporating the physical layer parameters in contrast to the most of the previous work which assumed a collision channel. Specifically, the pilot signals that nodes transmit are successfully decoded if the strength of the received signal relative to the interference is sufficiently high. Thus, each node must extract signal parameter information from the superposition of an unknown number of received signals. This problem falls naturally in the purview of random set theory (RST) which generalizes standard probability theory by assigning sets, rather than values, to random outcomes. The contributions in the paper are twofold: First, we introduce the realistic effect of physical layer considerations in the evaluation of the performance of logical discovery algorithms; such an introduction is necessary for the accurate assessment of how an algorithm performs. Secondly, given the double uncertainty of the environment (that is, the lack of knowledge of the number of neighbors along with the lack of knowledge of the individual signal parameters), we adopt the viewpoint of RST and demonstrate its advantage relative to classical matched filter detection method.

• ETRI Journal
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• v.45 no.2
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• pp.346-357
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• 2023

Hardware security primitives, also known as physical unclonable functions (PUFs), perform innovative roles to extract the randomness unique to specific hardware. This paper proposes a novel hardware security primitive using a commercial off-the-shelf flash memory chip that is an intrinsic part of most commercial Internet of Things (IoT) devices. First, we define a hardware security source model to describe a hardware-based fixed random bit generator for use in security applications, such as cryptographic key generation. Then, we propose a hardware security primitive with flash memory by exploiting the variability of tunneling electrons in the floating gate. In accordance with the requirements for robustness against the environment, timing variations, and random errors, we developed an adaptive extraction algorithm for the flash PUF. Experimental results show that the proposed flash PUF successfully generates a fixed random response, where the uniqueness is 49.1%, steadiness is 3.8%, uniformity is 50.2%, and min-entropy per bit is 0.87. Thus, our approach can be applied to security applications with reliability and satisfy high-entropy requirements, such as cryptographic key generation for IoT devices.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.9 no.2
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• pp.246-256
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• 2002

Purpose: This study was conducted to investigate correlations between environmental characteristics and disturbing behaviors in elderly people with dementia living in institutions. Method: A random sample of 107 subjects in three institutions for people with dementia in the Gyeongnam Province was tested between May 29 and June 5, 2002. Data was collected through a questionnaire and analyzed using SPSS/PC Win 10.0 Result: The major findings of the study are as follows. 1) the mean score on physical environment was $3.55{\pm}0.47$, and on psychosocial environment, $3.55{\pm}3.08$. 2) the mean score on disturbing behaviors showed that nonaggressive psychomotor behavior was the highest, and aggressive psychomotor behavior was the lowest. 3) the disturbing behaviors. in 5 the domains correlated with the environment and influencing factors included environment, family, level of dementia and level of ADL. Conclusion: Both the present physical environment and psychosocial environment influence the type of disturbing behavior in elderly people with dementia. Therefore, nursing can reduce the disturbing behaviors through maintenance of both the psychosocial environment and the physical environment. Furthermore, nurses must consider disturbing behaviors of elderly people with dementia by being aware of the level of dementia and ADL.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.23-26
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• 2004

This paper analyzed time delay and phase distortion that generates in multipath and the degree of distortion due to power attenuation factor when UWB system is applied at indoor environment and the effects of indoor structure and material on distortion factors. Based on these distortion factors, channel model similar to actual environment is mathematically described and multipath and the degree of signal distortion generated when UWB system is applied to random environment is tested through channel model simulation and varies distortion factor that UWB system needs to consider in different indoor environment is analyzed.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.7
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• pp.43-52
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• 2004

This paper proposes an efficient functional verification environment of microprocessor. This verification environment consists of test vector generator part, simulator part, and comparator part. To enhance efficiency of verification, it use a bias random test vector generator. In a part of simulation, retargetable instruction level simulator is used for reference model. This verification environment is excellent to find error which is not detected by general test vector and will become a good guide to find new error type

• Korean Journal of Health Education and Promotion
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• v.17 no.2
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• pp.35-56
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• 2000

This study is research on physical health and mental health(physical and mental symptom at school) in perceived school environment among adolescents. The study subjects ere selected by senior high school students in seoul and random sampling. The 3,060 subjects were selected 18 schools. The duration for survey was for Nov. 25-Dec. 13, 1998. The reliability of Questionnaire was Cronbach's $\alpha=0.95$. This study used multiple regression through Factor Analysis in SPSS programs. The major findings of this study are as follows: (1) All of Multiple Regression Models were significant. (p<0.001). (2) Physical Mental health is related to gender, personal environment, and economic status. (3) Physical Health is related to perceived school environmental variable (therapeutic teacher-student relationships, classrom climate, and school life satisfaction) among adolescents. (4) Mental Health is related to perceived school environment variables(therapeutic teacher-student relationships, classroom climate, school life satisfaction, teachers' climate, and classmates' attitudes) among adolescents. This study could be used as the basis for the development of educational program, counseling, teacher in-service training, student teacher training and the establishment of educational and health policy.