• ETRI Journal
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• v.45 no.1
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• pp.45-59
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• 2023

In this paper, to optimize the average delay and power allocation (PA) for system users, we propose a resource scheduling scheme for wireless networks based on Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) according to the first fifth-generation standards. For delay minimization, we solve a throughput maximization problem that considers CPOFDM systems with carrier aggregation (CA). Regarding PA, we consider an approach that involves maximizing goodput using an effective signal-to-noise ratio. An algorithm for jointly solving delay minimization through computation of required user rates and optimizing the power allocated to users is proposed to compose the resource allocation approach. In wireless network simulations, we consider a scenario with the following capabilities: CA, 256-Quadrature Amplitude Modulation, millimeter waves above 6 GHz, and a radio frame structure with 120 KHz spacing between the subcarriers. The performance of the proposed resource allocation algorithm is evaluated and compared with those of other algorithms from the literature using computational simulations in terms of various Quality of Service parameters, such as the throughput, delay, fairness index, and loss rate.

• The Journal of the Acoustical Society of Korea
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• v.41 no.6
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• pp.629-636
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• 2022

We present a preprocessing method for an underwater target detection model based on a convolutional neural network. The acoustic characteristics of the ship show ambiguous expression due to the strong signal power of the low frequency. To solve this problem, we combine feature preprocessing methods with various feature scaling methods and spectrogram methods. Define a simple convolutional neural network model and train it to measure preprocessing performance. Through experiment, we found that the combination of log Mel-spectrogram and standardization and robust scaling methods gave the best classification performance.

• Geomechanics and Engineering
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• v.33 no.4
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• pp.381-391
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• 2023

The aim of this work is to analyze and predict the wave propagation behavior of the carbon nanotube reinforced composites (CNTRC) beams within the framework of various higher order shear deformation beam theory. Using the Euler-Lagrange principle, the wave equations for CNTRC beams are derived, where the determining factor is to make the determinant equal to zero. Based on the eigenvalue method, the relationship between wave number and circular frequency is obtained. Furthermore, the phase and group velocities during wave propagation are obtained as a function of wave number, and the material properties of CNTRC beams are estimated by the mixture rule. In this paper, various higher order shear beam theory including Euler beam theory, Timoshenko beam theory and other beam theories are mainly adopted to analyze the wave propagation problem of the CNTRC beams, and by this way, we conduct a comparative analysis to verify the correctness of this paper. The mathematical model provided in this paper is verified numerically by comparing it with some existing results. We further investigate the effects of different enhancement modes of CNTs, volume fraction of CNTs, spring factor and other aspects on the wave propagation behaviors of the CNTRC beams.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.496-498
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• 2021

In Korea, based on the high fertility rate before 1980, the total population has been steadily increasing, and since the mid-1980s, the fertility rate has fallen sharply and has fallen below the level of population replacement. The cause of low birth rate in the region is not voluntary rejection, but rather, it is necessary to find out the cause by identifying the structural causes of the local community from various angles. We collected local Internet news and local representative cafe data, where many mothers participate, based on the budget area with a very low fertility rate among various areas. Factors of childbirth inhibition were analyzed by using the frequency of concurrent words that became issues related to population decline, low birthrate, and child-rearing welfare.

• Journal of Ocean Engineering and Technology
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• v.37 no.3
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• pp.111-121
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• 2023

This paper intends to introduce the applicability of HydroQus to a problem of a tanker collision against a semi-submersible type floating offshore wind turbine (FOWT). HydroQus is a plug-in based on potential flow theory that generates interactive hydroforces in a commercial Finite element analysis (FEA) code Abaqus/Explicit. Frequency response analyses were conducted for a 10MW capacity FOWT to obtain hydrostatic and hydrodynamic constants. The tanker was modeled with rigid elements, while elastic-plastic elements were used for the FOWT. Mooring chains were modeled to implement station keeping ability of the FOWT. Two types of fracture models were considered: constant failure strain model and combined failure strain model HC-LN model composed of Hosford-Coulomb (HC) model & localized necking (LN) model. The damage extents were evaluated by hydroforces and failure strain models. The largest equivalent plastic strain observed in the cases where both restoring force and radiation force were considered. Stress triaxiality and damage indicator analysis showed that the application of HC-LN model was suitable. It could be stated that applications of suitable failure strain model and hydrodynamics into the collision simulations were of importance.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.221-228
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• 2011

As construction works have become larger and more complex, improving productivity by introducing Information Technology (IT) is pursued and more effective construction management is needed in construction industry. In this circumstance, many different kinds of project management system is being introduced, and various IT technologies are applied such as Personal Digital Assistant (PDA), Bar Code, Radio Frequency Identification (RFID), Web Camera, and so on. However, these kinds of technologies might cause re-processing of information and ineffectiveness of project because of lack of real time information processing technology or separation between construction sites and management offices. Meanwhile, these technologies rather decrease the construction productivity except for the data saving and database function. Therefore, this research aims to develop Application that can be applied efficiently for construction material management, by understanding problems of former management system with questionnaires and extracting functions with analysis of requirements. In virtue of the construction material management Application which will be developed in this study, it will be possible to input information automatically, to process and check material information in real time, and to identify the location of necessary material. Then, the problem of separation between construction sites and management offices are solved, and as a result, more efficient management of materials in construction sites will become possible. At the same time, this study will investigate the possibility and applicability of new IT device, Smart Phone to construction sites.

• Coupled systems mechanics
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• v.13 no.2
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• pp.95-113
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• 2024

In this paper, we will analyse the thermo-elastic behavior of the plate element of a structure arranged in a climatically aggressive environment (extreme temperature), we use a refined four-variable thick plate theory to take the shear effect into consideration, the proposed theory less computationally expensive and more accurate so that it incorporates the shear effect into the formulation. The plate is assumed to be simply supported on its four edges, so exact (closed-form) solutions are found according to the Navier expansion, and the governing stability equations and associated boundary conditions of the problem are obtained via the virtual works principle. The plate studied ismade of laminated composite materials, so a parametric study is needed to see the effect of different types of parameters and coupling on the critical temperature value causing thermo-elastic instability of the plate and also on the natural frequency of free vibration, as well as for other parameters such as anisotropy, slenderness and aspect ratio of the plate and finally the lamination angle. Numerical results are obtained for specially orthotropic and antisymmetrical plates and are compared with those obtained by othertheoriesin the literature to validate the analysis approach used.

• Korean Chemical Engineering Research
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• v.62 no.1
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• pp.53-69
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• 2024

The solubility of Cloxacillin sodium in ethanol, 1-propanol, isopropanol, and acetone solutions was measured at different temperatures. The melting property was also tested by using a differential scanning calorimeter (DSC). Then, the solubility data were fitted using Apelblat equation and λh equation, respectively. The Wilson model and NRTL model were not utilized to correlate the test data, since Cloxacillin sodium will decompose directly after melting. For comparison purposes, the four empirical models, i.e., Apelblat equation, λh equation, Wilson model and NRTL Model, were evaluated by using 1155 solubility curves of 103 solutes tested under different monosolvents and temperatures. The comparison results indicate that the Apelblat equation is superior to the others. Furthermore, a new method (named the calculation method) for determining the Apelblat equation using only three data points was proposed to solve the problem that there may not be enough solute in the determination of solubility. The log-logistic distribution function was used to further capture the trend of the correlation and to make better quantitative comparison between predicted data and the experimental ones for the Apelblat equation determined by different methods (fitting method or calculation method). It is found that the proposed calculation method not only greatly reduces the number of test data points, but also has satisfactory prediction accuracy.

• Journal of Korean society of Dental Hygiene
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• v.24 no.3
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• pp.243-251
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• 2024

Objectives: This study used secondary data from the 2021 Community Health Survey to identify the impact of dysphagia on mental health-related characteristics among older adults, selecting 73,970 individuals aged 65 years and older. Methods: Frequency analysis, χ²-test, and multiple logistic regression were conducted to identify risk factors affecting mental health-related characteristics among older adults. Results: Dysphagia was most common among individuals with the following demographic characteristics: female, aged 85 years and older, three-generation household and household income in the 1st quintile. Chewing discomfort according to mental health-related characteristics was higher in older adults with cognitive impairment and depression. Sex, age, education level, household income, and chewing discomfort were significant for cognitive impairment, whereas sex, age, household type, education level, household income, and chewing discomfort were significant for depression. Conclusions: The above results confirmed that chewing discomfort contributes to mental health issues such as cognitive impairment and depression. It is therefore necessary to recognize chewing discomfort as an important health problem affecting the mental health of older adults, and to develop a multifaceted dental hygiene approach to target community-dwelling older adults who suffer from chewing discomfort.

• Korean Journal of Biological Psychiatry
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• v.2 no.2
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• pp.218-236
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• 1995

The author studied prognostic indicators of sixty Korean male alcoholics in psychological, social and biological aspects who were divided into abstinent and drinking groups. Thirty patients were assigned to each group. They were controlled in age and sex. Both groups were compared in terms of the demographic characteristics, past drinking history, treatment history, famaily history, ego strength and personality factors differences and distribution of dopamine $D_2$ receptor gene Al allele. Also the author studied relation of clinical course, alcoholic family history and dopamine $D_2$ receptor gene Al allele in both groups. The results were as follows; 1) The abstinent group had higher rate of married state, higher economic status, longer education years and maintained more stable job than the drinking group. But made no differences in occupation and religion. 2) The abstinent group showed higher rate of living with family members than the drinking group, and wives and fellows of the alcoholics anonymous were important factors for maintenance of abstinence. Family loading and parent's characters were not different. 3) The abstinent group had longer maximal length of abstinence but mean amount of alcohol consumption per day were larger than the drinking group. But there were no differences in duration of past drinking, drinking pattern, main drinking time, first drinking age and preference of the kind of alcoholic beverage in the past drinking history. 4) The abstinent group showed stronger treatment motivation, absolute abstinence in treatment goal, more voluntary adimission and maintained longer therapeutic relationship otter discharge than the drinking group. But both groups showed negative attitude toward antabuse therapy. 5) The abstinent group had higher mean score in ego strength scale than the drinking group. 6) In the personality factor questionnaire, the abstinent group showed strong laugh poise and the trait of praxernia, conservatism personality but the drinking group showed tough poise, the trait of weak ego strength(unstableness) and tough mindedness personality. 7) In comparision of dopamine $D_2$ receptor gene A1 allele, the prevalence of A1 allele was seventy percent and the frequency was 0.38 in the abstinent group. The prevalence of A1 allele was sixty percent and the frequency was 0.42 in the drinking group. Both groups were not significantly different in A1 allele prevalence and frequency. 8) In comparision of dopamine $D_2$ receptor gene A1 allele according to alcoholic family history, the prevalence of A1 allele was seventy percent and the frequency was 0.43 in the family history positive group. The prevalence of A1 allele was sixty-one percent and the frequency was 0.38 in the family history negative group. Both groups were not significantly different in A1 allele prevalence and frequency. In comparision of past drinking history according to alcoholic family history, the family history positive group showed earlier first drinking and problem drinking, but the family history negative group hod longer duration of past drinking. The mean amount of alcohol consumption per day, the longest duration of abstinence and Alcoholism Screening Test of Seoul Natoinal Mental Hospital(NAST) results were not significant. In conclusion, the results suggest that successful prognostic indicators of Korean alcoholics are married state, higher economic status, longer education years, stable job, living with family members, longer abstinence during past drinking history, strong treatment motivation, absolute abstinence in treatment goal, voluntary adimission, maintained therapeufic relationship, strong ego strength and the trait of praxernia, conservatism personality. But occupation, religion, alcoholic family history, parent's characters, duration of past drinking, drinking pattern, main drinking time, first drinking age, preference of the kind of alcoholic beverage, attitude to antabuse therapy and distribution of dopamine $D_2$ receptor A1 allele were not significantly related to the prognostic indicators of Korean alcoholics.